Merge remote-tracking branch 'origin/master' into bits_and_tpu

pull/1414/head
Ross Wightman 3 years ago
commit 754e11402a

3
.gitignore vendored

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# PyCharm
.idea
output/
# PyTorch weights
*.tar
*.pth
*.pt
*.gz
Untitled.ipynb
Testing notebook.ipynb

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model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
tinynet_e,47972.76,21.335,1024,106,2.04
mobilenetv3_small_050,42473.43,24.099,1024,224,1.59
lcnet_035,39739.31,25.756,1024,224,1.64
lcnet_050,35211.0,29.071,1024,224,1.88
mobilenetv3_small_075,31410.3,32.589,1024,224,2.04
mobilenetv3_small_100,28111.39,36.416,1024,224,2.54
tf_mobilenetv3_small_minimal_100,27538.82,37.173,1024,224,2.04
tinynet_d,26670.17,38.384,1024,152,2.34
tf_mobilenetv3_small_075,26522.93,38.597,1024,224,2.04
tf_mobilenetv3_small_100,24036.65,42.591,1024,224,2.54
lcnet_075,22451.72,45.598,1024,224,2.36
levit_128s,19963.52,51.282,1024,224,7.78
mnasnet_small,19706.27,51.952,1024,224,2.03
lcnet_100,18132.59,56.461,1024,224,2.95
mobilenetv2_035,17586.23,58.217,1024,224,1.68
ghostnet_050,16726.5,61.209,1024,224,2.59
regnetx_002,16238.56,63.048,1024,224,2.68
regnety_002,15227.23,67.235,1024,224,3.16
mnasnet_050,15022.24,68.154,1024,224,2.22
tinynet_c,14089.9,72.665,1024,184,2.46
mobilenetv2_050,14032.51,72.961,1024,224,1.97
levit_128,13679.77,74.845,1024,224,9.21
semnasnet_050,13508.98,75.79,1024,224,2.08
vit_small_patch32_224,12109.88,84.548,1024,224,22.88
mixer_s32_224,11702.15,87.494,1024,224,19.1
levit_192,11695.39,87.545,1024,224,10.95
lcnet_150,11564.86,88.533,1024,224,4.5
mobilenetv3_large_075,11407.33,89.755,1024,224,3.99
gernet_s,10837.81,94.473,1024,224,8.17
vit_tiny_r_s16_p8_224,10598.14,96.609,1024,224,6.34
mobilenetv3_rw,10164.28,100.733,1024,224,5.48
tf_mobilenetv3_large_075,10125.76,101.117,1024,224,3.99
regnetx_004,10069.8,101.678,1024,224,5.16
mobilenetv3_large_100,10017.28,102.212,1024,224,5.48
mobilenetv3_large_100_miil,10014.68,102.238,1024,224,5.48
ese_vovnet19b_slim_dw,9944.69,102.957,1024,224,1.9
hardcorenas_a,9792.24,104.561,1024,224,5.26
mnasnet_075,9774.09,104.755,1024,224,3.17
tf_mobilenetv3_large_minimal_100,9771.38,104.784,1024,224,3.92
ghostnet_100,9041.17,113.248,1024,224,5.18
hardcorenas_b,9021.74,113.492,1024,224,5.18
tinynet_b,8976.69,114.061,1024,188,3.73
swsl_resnet18,8971.65,114.125,1024,224,11.69
tf_mobilenetv3_large_100,8954.66,114.343,1024,224,5.48
gluon_resnet18_v1b,8949.74,114.406,1024,224,11.69
ssl_resnet18,8947.2,114.439,1024,224,11.69
resnet18,8927.25,114.693,1024,224,11.69
hardcorenas_c,8864.36,115.506,1024,224,5.52
mobilenetv2_075,8764.66,116.82,1024,224,2.64
mnasnet_100,8646.99,118.411,1024,224,4.38
mnasnet_b1,8646.34,118.421,1024,224,4.38
semnasnet_075,8603.57,119.009,1024,224,2.91
levit_256,8528.42,120.058,1024,224,18.89
regnety_004,8497.03,120.501,1024,224,4.34
seresnet18,8461.0,121.015,1024,224,11.78
hardcorenas_d,8306.25,123.269,1024,224,7.5
legacy_seresnet18,8213.74,124.658,1024,224,11.78
regnetx_006,8055.06,127.114,1024,224,6.2
mobilenetv2_100,7900.5,129.6,1024,224,3.5
spnasnet_100,7827.4,130.811,1024,224,4.42
semnasnet_100,7701.96,132.941,1024,224,3.89
mnasnet_a1,7678.8,133.342,1024,224,3.89
resnet18d,7478.23,136.919,1024,224,11.71
levit_256d,7357.48,139.166,1024,224,26.21
ghostnet_130,7270.82,140.824,1024,224,7.36
regnety_006,7263.32,140.971,1024,224,6.06
hardcorenas_f,7222.67,141.764,1024,224,8.2
hardcorenas_e,7174.56,142.715,1024,224,8.07
efficientnet_lite0,7057.13,145.09,1024,224,4.65
ese_vovnet19b_slim,6975.46,146.789,1024,224,3.17
tinynet_a,6918.13,148.004,1024,192,6.19
fbnetc_100,6847.55,149.531,1024,224,5.57
tf_efficientnetv2_b0,6842.85,149.633,1024,224,7.14
xcit_nano_12_p16_224_dist,6769.74,151.25,1024,224,3.05
xcit_nano_12_p16_224,6760.61,151.454,1024,224,3.05
regnetx_008,6358.56,161.031,1024,224,7.26
deit_tiny_patch16_224,6350.86,161.227,1024,224,5.72
vit_tiny_patch16_224,6346.8,161.33,1024,224,5.72
tf_efficientnet_lite0,6324.64,161.895,1024,224,4.65
deit_tiny_distilled_patch16_224,6241.01,164.064,1024,224,5.91
efficientnet_b0,6183.5,165.59,1024,224,5.29
efficientnet_b1_pruned,6044.57,169.396,1024,240,6.33
rexnet_100,6031.43,169.765,1024,224,4.8
mnasnet_140,6024.95,169.948,1024,224,7.12
rexnetr_100,5992.24,170.876,1024,224,4.88
dla46_c,5989.01,170.968,1024,224,1.3
pit_ti_distilled_224,5978.67,171.264,1024,224,5.1
mobilenetv2_110d,5966.33,171.618,1024,224,4.52
pit_ti_224,5950.27,172.082,1024,224,4.85
regnety_008,5940.31,172.37,1024,224,6.26
resnetblur18,5929.76,172.677,1024,224,11.69
tf_efficientnet_b0,5620.98,182.161,1024,224,5.29
tf_efficientnet_b0_ns,5610.83,182.491,1024,224,5.29
tf_efficientnet_b0_ap,5603.36,182.734,1024,224,5.29
skresnet18,5578.53,183.549,1024,224,11.96
regnetz_005,5482.6,186.761,1024,224,7.12
semnasnet_140,5325.69,192.263,1024,224,6.11
mobilenetv2_140,5271.81,194.229,1024,224,6.11
resnet34,5239.3,195.434,1024,224,21.8
tv_resnet34,5236.24,195.548,1024,224,21.8
gluon_resnet34_v1b,5233.7,195.644,1024,224,21.8
ese_vovnet19b_dw,5190.19,197.284,1024,224,6.54
levit_384,5177.17,197.779,1024,224,39.13
mobilevit_xxs,5154.01,198.668,1024,256,1.27
visformer_tiny,5148.77,198.871,1024,224,10.32
hrnet_w18_small,5137.51,199.307,1024,224,13.19
nf_regnet_b0,5134.01,199.442,1024,256,8.76
seresnet34,4940.74,207.245,1024,224,21.96
mixnet_s,4921.18,208.067,1024,224,4.13
gernet_m,4881.9,209.742,1024,224,21.14
efficientnet_lite1,4817.11,212.565,1024,240,5.42
legacy_seresnet34,4790.34,213.752,1024,224,21.96
selecsls42,4787.26,213.889,1024,224,30.35
selecsls42b,4772.45,214.553,1024,224,32.46
dla46x_c,4717.05,217.071,1024,224,1.07
resnet34d,4707.81,217.499,1024,224,21.82
vit_base_patch32_224,4653.29,220.048,1024,224,88.22
vit_base_patch32_224_sam,4636.98,220.822,1024,224,88.22
pit_xs_224,4628.58,221.222,1024,224,10.62
tf_mixnet_s,4615.88,221.831,1024,224,4.13
fbnetv3_b,4595.16,222.83,1024,256,8.6
rexnetr_130,4587.31,223.212,1024,224,7.61
pit_xs_distilled_224,4586.36,223.258,1024,224,11.0
resmlp_12_distilled_224,4524.79,226.297,1024,224,15.35
resmlp_12_224,4522.51,226.411,1024,224,15.35
tf_efficientnetv2_b1,4515.62,226.756,1024,240,8.14
dla60x_c,4459.55,229.607,1024,224,1.32
tf_efficientnet_lite1,4427.03,231.295,1024,240,5.42
mixer_b32_224,4423.78,231.465,1024,224,60.29
rexnet_130,4423.43,231.482,1024,224,7.56
xcit_tiny_12_p16_224_dist,4363.62,234.654,1024,224,6.72
xcit_tiny_12_p16_224,4352.75,235.24,1024,224,6.72
resnet26,4300.48,238.1,1024,224,16.0
mobilenetv2_120d,4276.4,239.441,1024,224,5.83
efficientnet_es_pruned,4244.8,241.225,1024,224,5.44
efficientnet_es,4243.52,241.298,1024,224,5.44
repvgg_b0,4216.88,242.821,1024,224,15.82
selecsls60,4146.99,246.913,1024,224,30.67
selecsls60b,4134.81,247.64,1024,224,32.77
tf_efficientnet_es,4097.34,249.906,1024,224,5.44
fbnetv3_d,4060.14,252.196,1024,256,10.31
efficientnet_b2_pruned,4051.65,252.724,1024,260,8.31
efficientnet_b0_g16_evos,3982.5,257.113,1024,224,8.11
rexnetr_150,3947.19,259.414,1024,224,9.78
crossvit_tiny_240,3922.12,261.07,1024,240,7.01
mixer_s16_224,3902.13,262.409,1024,224,18.53
resnet26d,3896.6,262.781,1024,224,16.01
dla34,3859.49,265.307,1024,224,15.74
ecaresnet50d_pruned,3854.93,265.621,1024,224,19.94
rexnet_150,3827.99,267.492,1024,224,9.73
vit_small_patch32_384,3806.52,269.0,1024,384,22.92
nf_resnet26,3804.26,269.16,1024,224,16.0
gmixer_12_224,3797.94,269.608,1024,224,12.7
efficientnet_lite2,3793.99,269.889,1024,260,6.09
gmlp_ti16_224,3724.27,274.941,1024,224,5.87
crossvit_9_240,3711.74,275.869,1024,240,8.55
regnetx_016,3640.75,281.247,1024,224,9.19
efficientnet_cc_b0_4e,3606.59,283.912,1024,224,13.31
efficientnet_cc_b0_8e,3600.63,284.383,1024,224,24.01
crossvit_9_dagger_240,3560.19,287.614,1024,240,8.78
tf_efficientnet_b1_ap,3560.01,287.626,1024,240,7.79
tf_efficientnet_b1,3559.25,287.687,1024,240,7.79
tf_efficientnet_b1_ns,3553.74,288.134,1024,240,7.79
tf_efficientnet_lite2,3505.87,292.07,1024,260,6.09
efficientnet_b1,3481.01,294.155,1024,256,7.79
poolformer_s12,3480.88,294.166,1024,224,11.92
vit_tiny_r_s16_p8_384,3451.73,148.319,512,384,6.36
tf_efficientnetv2_b2,3443.76,297.337,1024,260,10.1
tf_efficientnet_cc_b0_8e,3407.59,300.493,1024,224,24.01
tf_efficientnet_cc_b0_4e,3402.61,300.934,1024,224,13.31
mixnet_m,3369.57,303.884,1024,224,5.01
regnety_016,3343.57,306.248,1024,224,11.2
nf_seresnet26,3326.57,307.813,1024,224,17.4
nf_ecaresnet26,3308.22,309.519,1024,224,16.0
repvgg_a2,3284.74,311.731,1024,224,28.21
gernet_l,3260.13,314.086,1024,256,31.08
tf_mixnet_m,3258.23,314.269,1024,224,5.01
resnest14d,3225.43,317.465,1024,224,10.61
efficientnet_b3_pruned,3214.49,318.545,1024,300,9.86
convnext_nano_hnf,3199.89,319.999,1024,224,15.59
skresnet34,3189.47,321.044,1024,224,22.28
convit_tiny,3117.16,328.49,1024,224,5.71
resnext26ts,3098.65,330.453,1024,256,10.3
legacy_seresnext26_32x4d,3086.27,331.78,1024,224,16.79
nf_regnet_b1,3049.58,335.771,1024,288,10.22
resnet26t,3040.5,336.774,1024,256,16.01
seresnext26ts,3026.32,338.35,1024,256,10.39
eca_resnext26ts,3023.05,338.719,1024,256,10.3
gcresnext26ts,2976.22,344.049,1024,256,10.48
ecaresnet101d_pruned,2954.94,346.526,1024,224,24.88
nf_regnet_b2,2933.65,349.041,1024,272,14.31
mobilevit_xs,2913.13,175.744,512,256,2.32
seresnext26tn_32x4d,2898.81,353.236,1024,224,16.81
seresnext26t_32x4d,2897.48,353.398,1024,224,16.81
ecaresnext26t_32x4d,2893.22,353.918,1024,224,15.41
ecaresnext50t_32x4d,2891.83,354.088,1024,224,15.41
seresnext26d_32x4d,2884.91,354.937,1024,224,16.81
ecaresnetlight,2878.45,355.733,1024,224,30.16
pit_s_224,2872.59,356.46,1024,224,23.46
deit_small_patch16_224,2853.43,358.855,1024,224,22.05
pit_s_distilled_224,2851.86,359.052,1024,224,24.04
vit_small_patch16_224,2845.41,359.865,1024,224,22.05
tf_efficientnet_b2_ap,2814.51,363.814,1024,260,9.11
tf_efficientnet_b2_ns,2814.31,363.839,1024,260,9.11
coat_lite_tiny,2814.08,363.872,1024,224,5.72
tf_efficientnet_b2,2813.96,363.886,1024,260,9.11
rexnetr_200,2808.62,182.283,512,224,16.52
deit_small_distilled_patch16_224,2801.73,365.478,1024,224,22.44
tresnet_m,2787.92,367.287,1024,224,31.39
resnetv2_50,2780.22,368.303,1024,224,25.55
eca_botnext26ts_256,2766.45,370.137,1024,256,10.59
rexnet_200,2763.52,185.259,512,224,16.37
vit_base2_patch32_256,2752.1,372.066,1024,256,119.46
botnet26t_256,2750.58,372.273,1024,256,12.49
halonet26t,2727.12,375.475,1024,256,12.48
eca_halonext26ts,2721.42,376.262,1024,256,10.76
swsl_resnet50,2693.51,380.159,1024,224,25.56
tv_resnet50,2687.71,380.98,1024,224,25.56
efficientnet_b0_gn,2686.21,381.194,1024,224,5.29
ssl_resnet50,2684.8,381.394,1024,224,25.56
gluon_resnet50_v1b,2682.34,381.744,1024,224,25.56
resnet50,2681.21,381.904,1024,224,25.56
vit_small_resnet26d_224,2675.44,382.728,1024,224,63.61
efficientnet_b2a,2654.03,385.816,1024,288,9.11
efficientnet_b2,2649.9,386.418,1024,288,9.11
coat_lite_mini,2646.6,386.899,1024,224,11.01
hrnet_w18_small_v2,2638.47,388.089,1024,224,15.6
resnetv2_50t,2621.75,390.565,1024,224,25.57
vovnet39a,2620.98,390.68,1024,224,22.6
resnetv2_50d,2613.09,391.86,1024,224,25.57
bat_resnext26ts,2594.52,394.665,1024,256,10.73
resnet32ts,2591.72,395.092,1024,256,17.96
efficientnet_em,2587.13,395.792,1024,240,6.9
cspresnet50,2561.78,399.709,1024,256,21.62
mixnet_l,2560.63,199.939,512,224,7.33
resnet33ts,2550.89,401.417,1024,256,19.68
dpn68b,2548.03,401.866,1024,224,12.61
gluon_resnet50_v1c,2543.04,402.654,1024,224,25.58
ese_vovnet39b,2535.01,403.931,1024,224,24.57
eca_vovnet39b,2533.56,404.162,1024,224,22.6
cspresnext50,2530.86,404.592,1024,224,20.57
legacy_seresnet50,2527.3,405.162,1024,224,28.09
vgg11_bn,2524.72,202.784,512,224,132.87
tf_efficientnet_em,2523.81,405.723,1024,240,6.9
resnet50t,2521.66,406.069,1024,224,25.57
resnet50d,2517.37,406.76,1024,224,25.58
gluon_resnet50_v1d,2514.4,407.243,1024,224,25.58
dpn68,2513.01,407.467,1024,224,12.61
selecsls84,2490.46,411.155,1024,224,50.95
seresnet33ts,2489.53,411.308,1024,256,19.78
eca_resnet33ts,2483.09,412.378,1024,256,19.68
lambda_resnet26t,2479.99,412.893,1024,256,10.96
tf_mixnet_l,2478.99,206.524,512,224,7.33
twins_svt_small,2475.31,413.674,1024,224,24.06
gcresnet33ts,2439.7,419.711,1024,256,19.88
cspresnet50w,2418.46,423.398,1024,256,28.12
seresnet50,2407.37,425.348,1024,224,28.09
cspresnet50d,2400.89,426.492,1024,256,21.64
dla60,2376.63,430.848,1024,224,22.04
densenet121,2346.76,436.333,1024,224,7.98
resnest26d,2346.08,436.46,1024,224,17.07
tv_densenet121,2345.79,436.514,1024,224,7.98
xcit_tiny_24_p16_224_dist,2334.54,438.616,1024,224,12.12
xcit_nano_12_p16_384_dist,2332.68,438.968,1024,384,3.05
xcit_tiny_24_p16_224,2328.43,439.766,1024,224,12.12
haloregnetz_b,2320.38,441.294,1024,224,11.68
resmlp_24_224,2308.85,443.498,1024,224,30.02
resmlp_24_distilled_224,2308.13,443.636,1024,224,30.02
resnetaa50d,2295.34,446.109,1024,224,25.58
seresnet50t,2282.97,448.526,1024,224,28.1
efficientnet_cc_b1_8e,2282.2,448.676,1024,240,39.72
convnext_tiny,2276.32,449.828,1024,224,28.59
res2net50_48w_2s,2265.43,451.999,1024,224,25.29
resnetblur50,2265.02,452.08,1024,224,25.56
efficientnet_lite3,2261.44,226.393,512,300,8.2
ecaresnet50d,2260.92,452.9,1024,224,25.58
efficientnet_b0_g8_gn,2259.05,453.276,1024,224,6.56
densenet121d,2243.46,456.425,1024,224,8.0
resnetrs50,2241.6,456.804,1024,224,35.69
mobilevit_s,2240.37,228.522,512,256,5.58
regnetx_032,2201.52,465.118,1024,224,15.3
visformer_small,2194.82,466.539,1024,224,40.22
gluon_resnet50_v1s,2193.42,466.838,1024,224,25.68
tf_efficientnet_cc_b1_8e,2188.26,467.941,1024,240,39.72
vit_base_resnet26d_224,2188.18,467.954,1024,224,101.4
resnetblur50d,2150.42,476.173,1024,224,25.58
gluon_inception_v3,2150.17,476.225,1024,299,23.83
adv_inception_v3,2148.48,476.602,1024,299,23.83
vovnet57a,2148.25,476.651,1024,224,36.64
tf_inception_v3,2147.17,476.894,1024,299,23.83
inception_v3,2146.78,476.978,1024,299,23.83
densenetblur121d,2133.31,479.992,1024,224,8.0
cspresnext50_iabn,2129.31,480.895,1024,256,20.57
semobilevit_s,2105.83,243.122,512,256,5.74
seresnetaa50d,2088.02,490.403,1024,224,28.11
cspdarknet53_iabn,2087.26,490.582,1024,256,27.64
swsl_resnext50_32x4d,2080.34,492.214,1024,224,25.03
convnext_tiny_hnf,2075.56,493.349,1024,224,28.59
ese_vovnet57b,2074.63,493.57,1024,224,38.61
tf_efficientnet_lite3,2074.49,246.795,512,300,8.2
resnext50_32x4d,2073.97,493.725,1024,224,25.03
ssl_resnext50_32x4d,2073.23,493.902,1024,224,25.03
gluon_resnext50_32x4d,2072.3,494.125,1024,224,25.03
tv_resnext50_32x4d,2055.26,498.221,1024,224,25.03
res2net50_26w_4s,2037.79,502.491,1024,224,25.7
twins_pcpvt_small,2036.4,502.835,1024,224,24.11
xcit_small_12_p16_224_dist,2021.26,506.599,1024,224,26.25
tf_efficientnetv2_b3,2020.91,506.688,1024,300,14.36
xcit_small_12_p16_224,2020.4,506.814,1024,224,26.25
nf_seresnet50,2015.9,507.948,1024,224,28.09
skresnet50,2014.26,508.362,1024,224,25.8
nf_ecaresnet50,2005.54,510.572,1024,224,25.56
regnetx_040,2003.23,511.16,1024,224,22.12
efficientnetv2_rw_t,1999.8,512.038,1024,288,13.65
sehalonet33ts,1991.52,257.078,512,256,13.69
fbnetv3_g,1991.44,514.187,1024,288,16.62
dla60x,1986.19,515.547,1024,224,17.35
gcresnet50t,1982.14,516.599,1024,256,25.9
resnext50d_32x4d,1976.72,518.018,1024,224,25.05
lambda_resnet26rpt_256,1950.98,262.42,512,256,10.99
gmixer_24_224,1937.61,528.474,1024,224,24.72
gc_efficientnetv2_rw_t,1928.42,530.993,1024,288,13.68
res2net50_14w_8s,1920.35,533.22,1024,224,25.06
skresnet50d,1919.46,533.468,1024,224,25.82
densenet169,1916.46,534.305,1024,224,14.15
dla60_res2net,1907.38,536.848,1024,224,20.85
gcresnext50ts,1902.33,538.276,1024,256,15.67
seresnext50_32x4d,1902.13,538.331,1024,224,27.56
gluon_seresnext50_32x4d,1901.68,538.457,1024,224,27.56
res2next50,1896.89,539.818,1024,224,24.67
legacy_seresnext50_32x4d,1896.31,539.984,1024,224,27.56
repvgg_b1g4,1884.44,543.384,1024,224,39.97
resnest50d_1s4x24d,1879.81,544.722,1024,224,25.68
crossvit_small_240,1855.05,551.992,1024,240,26.86
nf_regnet_b3,1852.1,552.873,1024,320,18.59
darknet53,1847.62,277.102,512,256,41.61
mixnet_xl,1839.34,278.346,512,224,11.9
dla60_res2next,1829.2,559.793,1024,224,17.03
swin_tiny_patch4_window7_224,1820.74,562.394,1024,224,28.29
cspdarknet53,1804.24,283.762,512,256,27.64
poolformer_s24,1803.36,567.817,1024,224,21.39
vit_small_r26_s32_224,1799.77,568.949,1024,224,36.43
xcit_nano_12_p8_224_dist,1796.05,570.128,1024,224,3.05
xcit_nano_12_p8_224,1795.49,570.304,1024,224,3.05
regnetz_b16,1791.93,571.438,1024,288,9.72
ecaresnet26t,1786.82,573.073,1024,320,16.01
convnext_tiny_hnfd,1744.82,586.868,1024,224,28.63
gmlp_s16_224,1741.6,587.951,1024,224,19.42
sebotnet33ts_256,1718.54,223.433,384,256,13.7
crossvit_15_240,1711.44,598.314,1024,240,27.53
resnetv2_101,1693.03,604.82,1024,224,44.54
vit_base_resnet50d_224,1670.98,612.798,1024,224,110.97
swin_s3_tiny_224,1660.14,616.801,1024,224,28.33
repvgg_b1,1657.85,617.654,1024,224,57.42
tv_resnet101,1656.03,618.332,1024,224,44.55
gluon_resnet101_v1b,1653.8,619.167,1024,224,44.55
resnet101,1652.45,619.673,1024,224,44.55
tf_efficientnet_b3_ap,1649.82,310.323,512,300,12.23
tf_efficientnet_b3,1649.61,310.363,512,300,12.23
tf_efficientnet_b3_ns,1649.37,310.407,512,300,12.23
crossvit_15_dagger_240,1648.34,621.218,1024,240,28.21
lambda_resnet50ts,1639.74,624.475,1024,256,21.54
resnetv2_101d,1628.19,628.906,1024,224,44.56
efficientnet_b3,1614.3,317.152,512,320,12.23
efficientnet_b3a,1613.57,317.296,512,320,12.23
gluon_resnet101_v1c,1597.11,641.145,1024,224,44.57
resnest50d,1586.43,645.46,1024,224,27.48
gluon_resnet101_v1d,1584.97,646.054,1024,224,44.57
wide_resnet50_2,1583.06,646.835,1024,224,68.88
cait_xxs24_224,1580.68,647.808,1024,224,11.96
dla102,1573.96,650.576,1024,224,33.27
resnetv2_50x1_bit_distilled,1561.81,655.635,1024,224,25.55
res2net50_26w_6s,1556.3,657.955,1024,224,37.05
vit_large_patch32_224,1551.79,659.869,1024,224,306.54
resmlp_36_224,1549.07,661.03,1024,224,44.69
regnetx_080,1548.92,661.091,1024,224,39.57
resmlp_36_distilled_224,1548.49,661.277,1024,224,44.69
halonet50ts,1542.39,663.891,1024,256,22.73
legacy_seresnet101,1528.82,669.783,1024,224,49.33
ese_vovnet39b_evos,1523.51,672.121,1024,224,24.58
coat_lite_small,1509.49,678.361,1024,224,19.84
vgg13_bn,1504.09,340.392,512,224,133.05
xcit_tiny_12_p16_384_dist,1501.95,681.763,1024,384,6.72
resnetaa101d,1496.92,684.059,1024,224,44.57
swin_v2_cr_tiny_224,1495.36,684.765,1024,224,28.33
densenet201,1488.38,687.985,1024,224,20.01
seresnet101,1484.39,689.83,1024,224,49.33
vit_tiny_patch16_384,1479.06,692.319,1024,384,5.79
lamhalobotnet50ts_256,1474.4,694.504,1024,256,22.57
swin_v2_cr_tiny_ns_224,1471.62,695.817,1024,224,28.33
vit_base_patch32_384,1470.27,696.459,1024,384,88.3
vit_base_r26_s32_224,1467.48,697.779,1024,224,101.38
gluon_resnet101_v1s,1452.66,704.901,1024,224,44.67
regnetx_064,1450.48,352.975,512,224,26.21
mixer_b16_224,1448.87,706.746,1024,224,59.88
nf_resnet101,1448.19,707.076,1024,224,44.55
mixer_b16_224_miil,1446.14,708.08,1024,224,59.88
resnetv2_50d_frn,1444.18,709.041,1024,224,25.59
resnetblur101d,1433.31,714.414,1024,224,44.57
nf_resnet50,1425.83,718.163,1024,288,25.56
mixer_l32_224,1425.39,718.388,1024,224,206.94
ecaresnet101d,1423.43,719.375,1024,224,44.57
hrnet_w18,1416.64,722.817,1024,224,21.3
convnext_small,1412.23,725.081,1024,224,50.22
tresnet_l,1401.27,730.75,1024,224,55.99
twins_pcpvt_base,1398.04,732.441,1024,224,43.83
regnety_032,1384.84,739.421,1024,288,19.44
nest_tiny,1381.77,370.526,512,224,17.06
resnet50_gn,1377.54,743.338,1024,224,25.56
resnet51q,1366.14,749.545,1024,288,35.7
resnetv2_50d_evob,1365.49,749.897,1024,224,25.59
jx_nest_tiny,1357.18,377.241,512,224,17.06
botnet50ts_256,1354.82,377.899,512,256,22.74
xception,1347.6,379.923,512,299,22.86
dla102x,1333.01,768.169,1024,224,26.31
convit_small,1329.45,770.231,1024,224,27.78
halo2botnet50ts_256,1327.73,385.607,512,256,22.64
skresnext50_32x4d,1314.86,778.776,1024,224,27.48
swsl_resnext101_32x4d,1313.2,779.762,1024,224,44.18
ssl_resnext101_32x4d,1309.86,781.751,1024,224,44.18
gluon_resnext101_32x4d,1309.44,781.999,1024,224,44.18
resnext101_32x4d,1308.3,782.684,1024,224,44.18
repvgg_b2g4,1287.88,795.093,1024,224,61.76
res2net50_26w_8s,1277.42,801.601,1024,224,48.4
res2net101_26w_4s,1275.83,802.597,1024,224,45.21
resnest50d_4s2x40d,1267.83,807.666,1024,224,30.42
nf_seresnet101,1246.67,821.372,1024,224,49.33
twins_svt_base,1242.25,824.296,1024,224,56.07
nf_ecaresnet101,1240.12,825.715,1024,224,44.55
vgg16_bn,1239.17,413.169,512,224,138.37
resnet61q,1236.58,828.077,1024,288,36.85
eca_nfnet_l0,1234.82,829.257,1024,288,24.14
nfnet_l0,1234.39,829.546,1024,288,35.07
hrnet_w32,1225.86,835.318,1024,224,41.23
xception41p,1219.47,419.841,512,299,26.91
poolformer_s36,1217.85,840.81,1024,224,30.86
ese_vovnet99b_iabn,1214.4,843.2,1024,224,63.2
crossvit_18_240,1210.54,845.892,1024,240,43.27
regnetv_040,1210.02,423.122,512,288,20.64
regnety_040,1209.84,423.186,512,288,20.65
hrnet_w30,1208.97,846.988,1024,224,37.71
dpn92,1205.79,849.224,1024,224,37.67
gluon_seresnext101_32x4d,1198.19,854.61,1024,224,48.96
seresnext101_32x4d,1197.93,854.792,1024,224,48.96
legacy_seresnext101_32x4d,1196.55,855.783,1024,224,48.96
efficientnet_el,1181.26,433.424,512,300,10.59
efficientnet_el_pruned,1179.3,434.142,512,300,10.59
ese_vovnet99b,1178.02,869.24,1024,224,63.2
resnetv2_152,1172.64,873.226,1024,224,60.19
crossvit_18_dagger_240,1169.98,875.211,1024,240,44.27
tf_efficientnet_el,1156.16,442.832,512,300,10.59
tv_resnet152,1155.28,886.354,1024,224,60.19
resnet152,1153.46,887.752,1024,224,60.19
gluon_resnet152_v1b,1153.39,887.802,1024,224,60.19
xcit_tiny_12_p8_224_dist,1148.77,891.372,1024,224,6.71
xcit_tiny_12_p8_224,1148.55,891.542,1024,224,6.71
vit_small_resnet50d_s16_224,1140.9,897.523,1024,224,57.53
resnetv2_152d,1140.85,897.561,1024,224,60.2
mixnet_xxl,1136.05,338.002,384,224,23.96
ecaresnet50t,1133.49,903.391,1024,320,25.57
regnetz_c16,1132.12,452.237,512,320,13.46
repvgg_b2,1129.63,906.478,1024,224,89.02
gluon_resnet152_v1c,1126.87,908.694,1024,224,60.21
vit_base_patch16_224_miil,1124.8,910.37,1024,224,86.54
gluon_resnet152_v1d,1122.21,912.468,1024,224,60.21
volo_d1_224,1121.56,912.997,1024,224,26.63
swin_small_patch4_window7_224,1117.13,916.62,1024,224,49.61
regnety_040s_gn,1113.45,919.647,1024,224,20.65
inception_v4,1099.65,931.189,1024,299,42.68
vit_base_patch16_224_sam,1089.03,940.269,1024,224,86.57
xception41,1089.03,470.133,512,299,26.97
vit_base_patch16_224,1089.0,940.3,1024,224,86.57
deit_base_patch16_224,1088.05,941.117,1024,224,86.57
xcit_small_24_p16_224_dist,1079.16,948.867,1024,224,47.67
xcit_small_24_p16_224,1078.82,949.17,1024,224,47.67
densenet161,1076.84,950.914,1024,224,28.68
convmixer_1024_20_ks9_p14,1075.95,951.707,1024,224,24.38
nfnet_f0,1075.06,952.487,1024,256,71.49
deit_base_distilled_patch16_224,1073.74,953.659,1024,224,87.34
dla169,1071.22,955.906,1024,224,53.39
vgg19_bn,1060.19,482.919,512,224,143.68
cait_xxs36_224,1058.79,967.13,1024,224,17.3
tnt_s_patch16_224,1056.28,969.422,1024,224,23.76
legacy_seresnet152,1054.79,970.791,1024,224,66.82
gluon_resnet152_v1s,1052.41,972.991,1024,224,60.32
regnetx_120,1048.48,488.312,512,224,46.11
seresnet152,1033.07,991.203,1024,224,66.82
tresnet_xl,1032.49,991.76,1024,224,78.44
efficientnet_lite4,1029.33,373.047,384,380,13.01
beit_base_patch16_224,1003.86,1020.053,1024,224,86.53
regnety_120,1003.65,510.126,512,224,51.82
repvgg_b3g4,997.42,1026.637,1024,224,83.83
twins_pcpvt_large,995.78,1028.325,1024,224,60.99
convnext_base,984.44,1040.164,1024,224,88.59
convnext_base_in22ft1k,984.35,1040.256,1024,224,88.59
coat_tiny,976.27,1048.875,1024,224,5.5
tf_efficientnet_lite4,967.59,396.848,384,380,13.01
pit_b_224,954.91,536.164,512,224,73.76
dm_nfnet_f0,948.25,1079.874,1024,256,71.49
pit_b_distilled_224,947.46,540.381,512,224,74.79
vit_small_patch16_36x1_224,919.98,1113.057,1024,224,64.67
wide_resnet101_2,917.07,1116.581,1024,224,126.89
swin_v2_cr_small_224,915.96,1117.937,1024,224,49.7
dla102x2,910.31,562.434,512,224,41.28
resnetv2_50d_gn,909.47,1125.915,1024,288,25.57
efficientnetv2_s,905.47,1130.894,1024,384,21.46
vit_small_patch16_18x2_224,899.06,1138.948,1024,224,64.67
tf_efficientnetv2_s_in21ft1k,889.42,1151.294,1024,384,21.46
tf_efficientnetv2_s,889.32,1151.431,1024,384,21.46
xception65p,886.31,577.66,512,299,39.82
nest_small,881.75,580.652,512,224,38.35
twins_svt_large,880.33,1163.185,1024,224,99.27
repvgg_b3,878.37,1165.779,1024,224,123.09
resnetrs101,877.57,1166.842,1024,288,63.62
jx_nest_small,871.53,587.458,512,224,38.35
efficientnetv2_rw_s,866.51,1181.735,1024,384,23.94
dpn98,862.25,1187.578,1024,224,61.57
ens_adv_inception_resnet_v2,856.37,1195.737,1024,299,55.84
inception_resnet_v2,855.57,1196.844,1024,299,55.84
nf_regnet_b4,854.46,1198.403,1024,384,30.21
regnetz_b16_evos,853.4,599.942,512,288,9.74
regnetx_160,848.43,603.455,512,224,54.28
regnetz_d8,845.88,1210.552,1024,320,23.37
cait_s24_224,834.81,1226.608,1024,224,46.92
gluon_resnext101_64x4d,834.02,1227.777,1024,224,83.46
resnet200,828.19,1236.414,1024,224,64.67
regnetz_040,826.88,464.381,384,320,27.12
regnetz_040h,823.24,466.438,384,320,28.94
efficientnet_b4,820.41,468.046,384,384,19.34
swin_s3_small_224,817.53,626.263,512,224,49.74
hrnet_w40,816.49,1254.128,1024,224,57.56
poolformer_m36,815.39,1255.826,1024,224,56.17
swsl_resnext101_32x8d,805.27,1271.611,1024,224,88.79
regnety_064,803.23,637.411,512,288,30.58
ssl_resnext101_32x8d,802.86,1275.43,1024,224,88.79
xcit_tiny_24_p16_384_dist,802.73,1275.631,1024,384,12.12
ig_resnext101_32x8d,802.17,1276.521,1024,224,88.79
resnext101_32x8d,802.06,1276.704,1024,224,88.79
regnetv_064,800.43,639.64,512,288,30.58
resnetv2_50d_evos,798.97,640.813,512,288,25.59
gluon_xception65,797.15,642.277,512,299,39.92
resnet101d,796.13,1286.203,1024,320,44.57
xception65,795.21,643.84,512,299,39.92
resnest101e,791.92,646.513,512,256,48.28
swin_base_patch4_window7_224,791.65,1293.482,1024,224,87.77
gluon_seresnext101_64x4d,787.65,1300.055,1024,224,88.23
coat_mini,785.23,1304.064,1024,224,10.34
tf_efficientnet_b4_ap,782.92,490.459,384,380,19.34
tf_efficientnet_b4,782.13,490.953,384,380,19.34
tf_efficientnet_b4_ns,782.09,490.976,384,380,19.34
regnety_080,767.29,667.271,512,288,39.18
hrnet_w44,759.24,1348.7,1024,224,67.06
crossvit_base_240,756.03,677.208,512,240,105.03
xcit_medium_24_p16_224_dist,748.3,1368.42,1024,224,84.4
xcit_medium_24_p16_224,747.93,1369.089,1024,224,84.4
gmlp_b16_224,744.43,1375.538,1024,224,73.08
hrnet_w48,733.55,1395.939,1024,224,77.47
tresnet_m_448,727.54,1407.473,1024,448,31.39
vit_large_r50_s32_224,726.03,1410.402,1024,224,328.99
regnetz_d32,721.75,1418.755,1024,320,27.58
vit_small_patch16_384,684.33,748.167,512,384,22.2
tnt_b_patch16_224,677.0,1512.541,1024,224,65.41
xcit_small_12_p16_384_dist,675.76,1515.313,1024,384,26.25
convit_base,673.78,1519.763,1024,224,86.54
swin_s3_base_224,663.17,1544.087,1024,224,71.13
swin_v2_cr_base_224,651.94,1570.69,1024,224,87.88
densenet264d_iabn,647.21,1582.161,1024,224,72.74
efficientnet_b3_gn,646.96,395.683,256,320,11.73
dpn131,635.27,1611.889,1024,224,79.25
densenet264,628.46,1629.36,1024,224,72.69
nest_base,627.45,815.992,512,224,67.72
volo_d2_224,626.17,1635.329,1024,224,58.68
jx_nest_base,620.43,825.215,512,224,67.72
poolformer_m48,615.67,1663.217,1024,224,73.47
vit_small_r26_s32_384,611.26,628.196,384,384,36.47
xcit_nano_12_p8_384_dist,610.06,1678.498,1024,384,3.05
xcit_tiny_24_p8_224,603.0,1698.15,1024,224,12.11
xcit_tiny_24_p8_224_dist,602.22,1700.353,1024,224,12.11
xception71,600.16,853.086,512,299,42.34
hrnet_w64,599.02,1709.451,1024,224,128.06
vit_base_r50_s16_224,598.25,1711.642,1024,224,98.66
legacy_senet154,582.07,1759.212,1024,224,115.09
senet154,582.01,1759.392,1024,224,115.09
gluon_senet154,581.94,1759.609,1024,224,115.09
dpn107,578.97,1768.627,1024,224,86.92
eca_nfnet_l1,575.61,1778.965,1024,320,41.41
seresnet200d,562.84,1819.333,1024,256,71.86
resnet152d,561.29,1824.359,1024,320,60.21
ecaresnet200d,559.73,1829.437,1024,256,64.69
convnext_large_in22ft1k,546.71,936.5,512,224,197.77
convnext_large,546.09,937.561,512,224,197.77
regnetz_c16_evos,539.7,948.669,512,320,13.49
regnety_320,534.72,957.496,512,224,145.05
regnety_160,523.72,733.2,384,288,83.59
efficientnet_b3_g8_gn,520.23,492.079,256,320,14.25
xcit_small_12_p8_224,514.94,1988.547,1024,224,26.21
xcit_small_12_p8_224_dist,514.63,1989.761,1024,224,26.21
halonet_h1,507.89,504.03,256,256,8.1
resnext101_64x4d,505.79,1012.259,512,288,83.46
seresnet152d,503.07,2035.474,1024,320,66.84
resnetrs152,499.61,2049.599,1024,320,86.62
vit_large_patch32_384,494.68,2070.028,1024,384,306.63
regnetx_320,468.44,819.734,384,224,107.81
mixer_l16_224,464.51,2204.436,1024,224,208.2
seresnext101_32x8d,461.67,1109.006,512,288,93.57
swin_large_patch4_window7_224,454.97,1125.326,512,224,196.53
regnetz_e8,451.54,1133.877,512,320,57.7
efficientnetv2_m,442.19,2315.716,1024,416,54.14
seresnet269d,440.45,2324.895,1024,256,113.67
volo_d3_224,438.95,2332.847,1024,224,86.33
xcit_large_24_p16_224,432.87,2365.575,1024,224,189.1
xcit_large_24_p16_224_dist,432.7,2366.505,1024,224,189.1
efficientnet_b5,411.07,622.743,256,456,30.39
efficientnetv2_rw_m,406.88,1258.338,512,416,53.24
resnet200d,404.01,2534.588,1024,320,64.69
tf_efficientnet_b5,395.61,647.082,256,456,30.39
tf_efficientnet_b5_ap,395.52,647.242,256,456,30.39
tf_efficientnet_b5_ns,395.47,647.322,256,456,30.39
resnetv2_50x1_bitm,392.67,1303.884,512,448,25.55
xcit_tiny_12_p8_384_dist,390.32,2623.487,1024,384,6.71
swin_v2_cr_large_224,385.91,1326.718,512,224,196.68
swsl_resnext101_32x16d,375.78,1362.484,512,224,194.03
ig_resnext101_32x16d,373.86,1369.478,512,224,194.03
ssl_resnext101_32x16d,373.64,1370.28,512,224,194.03
regnetz_d8_evos,373.09,1372.306,512,320,23.46
swin_v2_cr_tiny_384,364.64,702.039,256,384,28.33
tresnet_l_448,361.5,2832.633,1024,448,55.99
convnext_xlarge_in22ft1k,360.86,1418.822,512,224,350.2
xcit_small_24_p16_384_dist,360.65,2839.301,1024,384,47.67
resnetrs200,358.31,2857.856,1024,320,93.21
nfnet_f1,357.09,2867.576,1024,320,132.63
vit_large_patch16_224,356.78,2870.107,1024,224,304.33
crossvit_15_dagger_408,354.9,721.306,256,408,28.5
vit_base_patch16_18x2_224,348.19,2940.87,1024,224,256.73
tf_efficientnetv2_m_in21ft1k,347.38,1473.892,512,480,54.14
tf_efficientnetv2_m,346.86,1476.074,512,480,54.14
dm_nfnet_f1,342.33,1495.606,512,320,132.63
convnext_base_384_in22ft1k,336.37,1141.59,384,384,88.59
beit_large_patch16_224,330.46,3098.668,1024,224,304.43
volo_d1_384,293.12,1746.724,512,384,26.78
convmixer_768_32,290.99,3518.992,1024,224,21.11
eca_nfnet_l2,282.42,1812.878,512,384,56.72
volo_d4_224,281.7,3635.003,1024,224,192.96
resnetv2_152x2_bit_teacher,280.73,1823.773,512,224,236.34
vit_base_patch16_384,280.43,1369.296,384,384,86.86
deit_base_patch16_384,280.4,1369.456,384,384,86.86
deit_base_distilled_patch16_384,276.56,1388.495,384,384,87.63
xcit_small_24_p8_224,269.73,3796.43,1024,224,47.63
tresnet_xl_448,269.71,1898.302,512,448,78.44
xcit_small_24_p8_224_dist,269.67,3797.157,1024,224,47.63
resnest200e,265.14,1931.055,512,320,70.2
cait_xxs24_384,264.07,3877.737,1024,384,12.03
vit_large_patch14_224,262.13,3906.369,1024,224,304.2
crossvit_18_dagger_408,260.17,983.968,256,408,44.61
xcit_medium_24_p16_384_dist,254.44,2012.271,512,384,84.4
nasnetalarge,254.21,1510.535,384,331,88.75
pnasnet5large,251.02,1529.719,384,331,86.06
resnetv2_101x1_bitm,246.55,2076.684,512,448,44.54
beit_base_patch16_384,241.2,1592.025,384,384,86.74
vit_large_r50_s32_384,240.58,1596.142,384,384,329.09
efficientnet_b6,239.36,534.745,128,528,43.04
ecaresnet269d,233.52,4385.094,1024,352,102.09
tf_efficientnet_b6_ns,231.37,553.209,128,528,43.04
tf_efficientnet_b6,231.23,553.545,128,528,43.04
tf_efficientnet_b6_ap,231.04,553.998,128,528,43.04
resnetrs270,227.52,4500.663,1024,352,129.86
swin_v2_cr_small_384,224.2,1141.845,256,384,49.7
swin_base_patch4_window12_384,211.77,906.647,192,384,87.9
resmlp_big_24_224,209.16,4895.869,1024,224,129.14
resmlp_big_24_distilled_224,208.94,4900.863,1024,224,129.14
resmlp_big_24_224_in22ft1k,208.92,4901.346,1024,224,129.14
xcit_tiny_24_p8_384_dist,204.37,5010.586,1024,384,12.11
nfnet_f2,200.76,5100.492,1024,352,193.78
tf_efficientnetv2_l,199.73,1922.595,384,480,118.52
efficientnetv2_l,198.4,2580.63,512,480,118.52
tf_efficientnetv2_l_in21ft1k,196.98,2599.257,512,480,118.52
dm_nfnet_f2,194.75,2628.942,512,352,193.78
xcit_medium_24_p8_224,189.81,2697.371,512,224,84.32
xcit_medium_24_p8_224_dist,189.81,2697.462,512,224,84.32
volo_d5_224,187.06,5474.175,1024,224,295.46
convnext_large_384_in22ft1k,186.8,1370.399,256,384,197.77
cait_xs24_384,184.72,2771.758,512,384,26.67
vit_base_patch8_224,183.25,1396.951,256,224,86.58
cait_xxs36_384,176.62,5797.903,1024,384,17.37
vit_base_r50_s16_384,174.09,2205.77,384,384,98.95
vit_base_resnet50_384,174.05,2206.21,384,384,98.95
xcit_small_12_p8_384_dist,173.11,2957.56,512,384,26.21
swin_v2_cr_huge_224,170.28,2255.094,384,224,657.83
convmixer_1536_20,167.4,6117.1,1024,224,51.63
volo_d2_384,164.47,2334.792,384,384,58.87
swin_v2_cr_base_384,160.01,1199.906,192,384,87.88
eca_nfnet_l3,159.42,3211.652,512,448,72.04
resnetrs350,151.88,3371.146,512,384,163.96
xcit_large_24_p16_384_dist,147.05,3481.712,512,384,189.1
ig_resnext101_32x32d,146.83,1743.474,256,224,468.53
cait_s24_384,142.26,3598.927,512,384,47.06
vit_huge_patch14_224,141.6,7231.567,1024,224,632.05
efficientnet_b7,139.66,687.357,96,600,66.35
tf_efficientnet_b7,135.86,706.608,96,600,66.35
tf_efficientnet_b7_ap,135.79,706.955,96,600,66.35
tf_efficientnet_b7_ns,135.74,707.2,96,600,66.35
efficientnetv2_xl,127.77,3005.388,384,512,208.12
tf_efficientnetv2_xl_in21ft1k,127.07,3021.991,384,512,208.12
swin_large_patch4_window12_384,125.28,1021.736,128,384,196.74
resnest269e,123.52,3108.719,384,416,110.93
convnext_xlarge_384_in22ft1k,123.3,1557.136,192,384,350.2
xcit_large_24_p8_224,110.05,4652.475,512,224,188.93
xcit_large_24_p8_224_dist,109.94,4656.907,512,224,188.93
nfnet_f3,109.46,4677.461,512,416,254.92
resnetrs420,108.78,4706.738,512,416,191.89
dm_nfnet_f3,98.93,5175.208,512,416,254.92
swin_v2_cr_large_384,98.1,1304.756,128,384,196.68
resnetv2_152x2_bit_teacher_384,97.22,2633.19,256,384,236.34
cait_s36_384,95.27,5374.225,512,384,68.37
vit_large_patch16_384,94.74,2702.22,256,384,304.72
resnetv2_50x3_bitm,94.62,1352.761,128,448,217.32
vit_giant_patch14_224,92.89,5511.692,512,224,1012.61
xcit_small_24_p8_384_dist,90.84,4227.257,384,384,47.63
ig_resnext101_32x48d,87.18,2202.253,192,224,828.41
efficientnet_b8,83.91,1144.078,96,672,87.41
beit_large_patch16_384,82.64,3097.749,256,384,305.0
tf_efficientnet_b8_ap,82.27,1166.925,96,672,87.41
tf_efficientnet_b8,82.25,1167.133,96,672,87.41
volo_d3_448,72.26,2657.14,192,448,86.63
resnetv2_152x2_bitm,71.6,2681.389,192,448,236.34
xcit_medium_24_p8_384_dist,64.15,3990.849,256,384,84.32
nfnet_f4,60.24,6374.659,384,512,316.07
dm_nfnet_f4,59.09,4332.344,256,512,316.07
resnetv2_101x3_bitm,58.2,2199.411,128,448,387.93
vit_gigantic_patch14_224,56.14,9120.818,512,224,1844.44
volo_d4_448,52.76,2425.859,128,448,193.41
swin_v2_cr_giant_224,49.04,2610.23,128,224,2598.76
tf_efficientnet_l2_ns_475,46.41,1378.993,64,475,480.31
nfnet_f5,44.14,5799.172,256,544,377.21
swin_v2_cr_huge_384,43.59,1468.203,64,384,657.94
dm_nfnet_f5,39.84,6426.216,256,544,377.21
xcit_large_24_p8_384_dist,36.78,5220.859,192,384,188.93
volo_d5_448,36.57,3500.029,128,448,295.91
nfnet_f6,34.59,7401.234,256,576,438.36
beit_large_patch16_512,33.3,2882.954,96,512,305.67
cait_m36_384,31.36,8162.98,256,384,271.22
dm_nfnet_f6,31.17,8214.193,256,576,438.36
nfnet_f7,26.91,9514.003,256,608,499.5
volo_d5_512,25.64,4991.614,128,512,296.09
resnetv2_152x4_bitm,18.58,3444.83,64,480,936.53
efficientnet_l2,16.55,1450.295,24,800,480.31
tf_efficientnet_l2_ns,16.36,1467.093,24,800,480.31
swin_v2_cr_giant_384,13.63,1760.856,24,384,2598.76
cait_m48_448,13.35,9584.614,128,448,356.46
1 model infer_samples_per_sec infer_step_time infer_batch_size infer_img_size param_count
2 tinynet_e 47972.76 21.335 1024 106 2.04
3 mobilenetv3_small_050 42473.43 24.099 1024 224 1.59
4 lcnet_035 39739.31 25.756 1024 224 1.64
5 lcnet_050 35211.0 29.071 1024 224 1.88
6 mobilenetv3_small_075 31410.3 32.589 1024 224 2.04
7 mobilenetv3_small_100 28111.39 36.416 1024 224 2.54
8 tf_mobilenetv3_small_minimal_100 27538.82 37.173 1024 224 2.04
9 tinynet_d 26670.17 38.384 1024 152 2.34
10 tf_mobilenetv3_small_075 26522.93 38.597 1024 224 2.04
11 tf_mobilenetv3_small_100 24036.65 42.591 1024 224 2.54
12 lcnet_075 22451.72 45.598 1024 224 2.36
13 levit_128s 19963.52 51.282 1024 224 7.78
14 mnasnet_small 19706.27 51.952 1024 224 2.03
15 lcnet_100 18132.59 56.461 1024 224 2.95
16 mobilenetv2_035 17586.23 58.217 1024 224 1.68
17 ghostnet_050 16726.5 61.209 1024 224 2.59
18 regnetx_002 16238.56 63.048 1024 224 2.68
19 regnety_002 15227.23 67.235 1024 224 3.16
20 mnasnet_050 15022.24 68.154 1024 224 2.22
21 tinynet_c 14089.9 72.665 1024 184 2.46
22 mobilenetv2_050 14032.51 72.961 1024 224 1.97
23 levit_128 13679.77 74.845 1024 224 9.21
24 semnasnet_050 13508.98 75.79 1024 224 2.08
25 vit_small_patch32_224 12109.88 84.548 1024 224 22.88
26 mixer_s32_224 11702.15 87.494 1024 224 19.1
27 levit_192 11695.39 87.545 1024 224 10.95
28 lcnet_150 11564.86 88.533 1024 224 4.5
29 mobilenetv3_large_075 11407.33 89.755 1024 224 3.99
30 gernet_s 10837.81 94.473 1024 224 8.17
31 vit_tiny_r_s16_p8_224 10598.14 96.609 1024 224 6.34
32 mobilenetv3_rw 10164.28 100.733 1024 224 5.48
33 tf_mobilenetv3_large_075 10125.76 101.117 1024 224 3.99
34 regnetx_004 10069.8 101.678 1024 224 5.16
35 mobilenetv3_large_100 10017.28 102.212 1024 224 5.48
36 mobilenetv3_large_100_miil 10014.68 102.238 1024 224 5.48
37 ese_vovnet19b_slim_dw 9944.69 102.957 1024 224 1.9
38 hardcorenas_a 9792.24 104.561 1024 224 5.26
39 mnasnet_075 9774.09 104.755 1024 224 3.17
40 tf_mobilenetv3_large_minimal_100 9771.38 104.784 1024 224 3.92
41 ghostnet_100 9041.17 113.248 1024 224 5.18
42 hardcorenas_b 9021.74 113.492 1024 224 5.18
43 tinynet_b 8976.69 114.061 1024 188 3.73
44 swsl_resnet18 8971.65 114.125 1024 224 11.69
45 tf_mobilenetv3_large_100 8954.66 114.343 1024 224 5.48
46 gluon_resnet18_v1b 8949.74 114.406 1024 224 11.69
47 ssl_resnet18 8947.2 114.439 1024 224 11.69
48 resnet18 8927.25 114.693 1024 224 11.69
49 hardcorenas_c 8864.36 115.506 1024 224 5.52
50 mobilenetv2_075 8764.66 116.82 1024 224 2.64
51 mnasnet_100 8646.99 118.411 1024 224 4.38
52 mnasnet_b1 8646.34 118.421 1024 224 4.38
53 semnasnet_075 8603.57 119.009 1024 224 2.91
54 levit_256 8528.42 120.058 1024 224 18.89
55 regnety_004 8497.03 120.501 1024 224 4.34
56 seresnet18 8461.0 121.015 1024 224 11.78
57 hardcorenas_d 8306.25 123.269 1024 224 7.5
58 legacy_seresnet18 8213.74 124.658 1024 224 11.78
59 regnetx_006 8055.06 127.114 1024 224 6.2
60 mobilenetv2_100 7900.5 129.6 1024 224 3.5
61 spnasnet_100 7827.4 130.811 1024 224 4.42
62 semnasnet_100 7701.96 132.941 1024 224 3.89
63 mnasnet_a1 7678.8 133.342 1024 224 3.89
64 resnet18d 7478.23 136.919 1024 224 11.71
65 levit_256d 7357.48 139.166 1024 224 26.21
66 ghostnet_130 7270.82 140.824 1024 224 7.36
67 regnety_006 7263.32 140.971 1024 224 6.06
68 hardcorenas_f 7222.67 141.764 1024 224 8.2
69 hardcorenas_e 7174.56 142.715 1024 224 8.07
70 efficientnet_lite0 7057.13 145.09 1024 224 4.65
71 ese_vovnet19b_slim 6975.46 146.789 1024 224 3.17
72 tinynet_a 6918.13 148.004 1024 192 6.19
73 fbnetc_100 6847.55 149.531 1024 224 5.57
74 tf_efficientnetv2_b0 6842.85 149.633 1024 224 7.14
75 xcit_nano_12_p16_224_dist 6769.74 151.25 1024 224 3.05
76 xcit_nano_12_p16_224 6760.61 151.454 1024 224 3.05
77 regnetx_008 6358.56 161.031 1024 224 7.26
78 deit_tiny_patch16_224 6350.86 161.227 1024 224 5.72
79 vit_tiny_patch16_224 6346.8 161.33 1024 224 5.72
80 tf_efficientnet_lite0 6324.64 161.895 1024 224 4.65
81 deit_tiny_distilled_patch16_224 6241.01 164.064 1024 224 5.91
82 efficientnet_b0 6183.5 165.59 1024 224 5.29
83 efficientnet_b1_pruned 6044.57 169.396 1024 240 6.33
84 rexnet_100 6031.43 169.765 1024 224 4.8
85 mnasnet_140 6024.95 169.948 1024 224 7.12
86 rexnetr_100 5992.24 170.876 1024 224 4.88
87 dla46_c 5989.01 170.968 1024 224 1.3
88 pit_ti_distilled_224 5978.67 171.264 1024 224 5.1
89 mobilenetv2_110d 5966.33 171.618 1024 224 4.52
90 pit_ti_224 5950.27 172.082 1024 224 4.85
91 regnety_008 5940.31 172.37 1024 224 6.26
92 resnetblur18 5929.76 172.677 1024 224 11.69
93 tf_efficientnet_b0 5620.98 182.161 1024 224 5.29
94 tf_efficientnet_b0_ns 5610.83 182.491 1024 224 5.29
95 tf_efficientnet_b0_ap 5603.36 182.734 1024 224 5.29
96 skresnet18 5578.53 183.549 1024 224 11.96
97 regnetz_005 5482.6 186.761 1024 224 7.12
98 semnasnet_140 5325.69 192.263 1024 224 6.11
99 mobilenetv2_140 5271.81 194.229 1024 224 6.11
100 resnet34 5239.3 195.434 1024 224 21.8
101 tv_resnet34 5236.24 195.548 1024 224 21.8
102 gluon_resnet34_v1b 5233.7 195.644 1024 224 21.8
103 ese_vovnet19b_dw 5190.19 197.284 1024 224 6.54
104 levit_384 5177.17 197.779 1024 224 39.13
105 mobilevit_xxs 5154.01 198.668 1024 256 1.27
106 visformer_tiny 5148.77 198.871 1024 224 10.32
107 hrnet_w18_small 5137.51 199.307 1024 224 13.19
108 nf_regnet_b0 5134.01 199.442 1024 256 8.76
109 seresnet34 4940.74 207.245 1024 224 21.96
110 mixnet_s 4921.18 208.067 1024 224 4.13
111 gernet_m 4881.9 209.742 1024 224 21.14
112 efficientnet_lite1 4817.11 212.565 1024 240 5.42
113 legacy_seresnet34 4790.34 213.752 1024 224 21.96
114 selecsls42 4787.26 213.889 1024 224 30.35
115 selecsls42b 4772.45 214.553 1024 224 32.46
116 dla46x_c 4717.05 217.071 1024 224 1.07
117 resnet34d 4707.81 217.499 1024 224 21.82
118 vit_base_patch32_224 4653.29 220.048 1024 224 88.22
119 vit_base_patch32_224_sam 4636.98 220.822 1024 224 88.22
120 pit_xs_224 4628.58 221.222 1024 224 10.62
121 tf_mixnet_s 4615.88 221.831 1024 224 4.13
122 fbnetv3_b 4595.16 222.83 1024 256 8.6
123 rexnetr_130 4587.31 223.212 1024 224 7.61
124 pit_xs_distilled_224 4586.36 223.258 1024 224 11.0
125 resmlp_12_distilled_224 4524.79 226.297 1024 224 15.35
126 resmlp_12_224 4522.51 226.411 1024 224 15.35
127 tf_efficientnetv2_b1 4515.62 226.756 1024 240 8.14
128 dla60x_c 4459.55 229.607 1024 224 1.32
129 tf_efficientnet_lite1 4427.03 231.295 1024 240 5.42
130 mixer_b32_224 4423.78 231.465 1024 224 60.29
131 rexnet_130 4423.43 231.482 1024 224 7.56
132 xcit_tiny_12_p16_224_dist 4363.62 234.654 1024 224 6.72
133 xcit_tiny_12_p16_224 4352.75 235.24 1024 224 6.72
134 resnet26 4300.48 238.1 1024 224 16.0
135 mobilenetv2_120d 4276.4 239.441 1024 224 5.83
136 efficientnet_es_pruned 4244.8 241.225 1024 224 5.44
137 efficientnet_es 4243.52 241.298 1024 224 5.44
138 repvgg_b0 4216.88 242.821 1024 224 15.82
139 selecsls60 4146.99 246.913 1024 224 30.67
140 selecsls60b 4134.81 247.64 1024 224 32.77
141 tf_efficientnet_es 4097.34 249.906 1024 224 5.44
142 fbnetv3_d 4060.14 252.196 1024 256 10.31
143 efficientnet_b2_pruned 4051.65 252.724 1024 260 8.31
144 efficientnet_b0_g16_evos 3982.5 257.113 1024 224 8.11
145 rexnetr_150 3947.19 259.414 1024 224 9.78
146 crossvit_tiny_240 3922.12 261.07 1024 240 7.01
147 mixer_s16_224 3902.13 262.409 1024 224 18.53
148 resnet26d 3896.6 262.781 1024 224 16.01
149 dla34 3859.49 265.307 1024 224 15.74
150 ecaresnet50d_pruned 3854.93 265.621 1024 224 19.94
151 rexnet_150 3827.99 267.492 1024 224 9.73
152 vit_small_patch32_384 3806.52 269.0 1024 384 22.92
153 nf_resnet26 3804.26 269.16 1024 224 16.0
154 gmixer_12_224 3797.94 269.608 1024 224 12.7
155 efficientnet_lite2 3793.99 269.889 1024 260 6.09
156 gmlp_ti16_224 3724.27 274.941 1024 224 5.87
157 crossvit_9_240 3711.74 275.869 1024 240 8.55
158 regnetx_016 3640.75 281.247 1024 224 9.19
159 efficientnet_cc_b0_4e 3606.59 283.912 1024 224 13.31
160 efficientnet_cc_b0_8e 3600.63 284.383 1024 224 24.01
161 crossvit_9_dagger_240 3560.19 287.614 1024 240 8.78
162 tf_efficientnet_b1_ap 3560.01 287.626 1024 240 7.79
163 tf_efficientnet_b1 3559.25 287.687 1024 240 7.79
164 tf_efficientnet_b1_ns 3553.74 288.134 1024 240 7.79
165 tf_efficientnet_lite2 3505.87 292.07 1024 260 6.09
166 efficientnet_b1 3481.01 294.155 1024 256 7.79
167 poolformer_s12 3480.88 294.166 1024 224 11.92
168 vit_tiny_r_s16_p8_384 3451.73 148.319 512 384 6.36
169 tf_efficientnetv2_b2 3443.76 297.337 1024 260 10.1
170 tf_efficientnet_cc_b0_8e 3407.59 300.493 1024 224 24.01
171 tf_efficientnet_cc_b0_4e 3402.61 300.934 1024 224 13.31
172 mixnet_m 3369.57 303.884 1024 224 5.01
173 regnety_016 3343.57 306.248 1024 224 11.2
174 nf_seresnet26 3326.57 307.813 1024 224 17.4
175 nf_ecaresnet26 3308.22 309.519 1024 224 16.0
176 repvgg_a2 3284.74 311.731 1024 224 28.21
177 gernet_l 3260.13 314.086 1024 256 31.08
178 tf_mixnet_m 3258.23 314.269 1024 224 5.01
179 resnest14d 3225.43 317.465 1024 224 10.61
180 efficientnet_b3_pruned 3214.49 318.545 1024 300 9.86
181 convnext_nano_hnf 3199.89 319.999 1024 224 15.59
182 skresnet34 3189.47 321.044 1024 224 22.28
183 convit_tiny 3117.16 328.49 1024 224 5.71
184 resnext26ts 3098.65 330.453 1024 256 10.3
185 legacy_seresnext26_32x4d 3086.27 331.78 1024 224 16.79
186 nf_regnet_b1 3049.58 335.771 1024 288 10.22
187 resnet26t 3040.5 336.774 1024 256 16.01
188 seresnext26ts 3026.32 338.35 1024 256 10.39
189 eca_resnext26ts 3023.05 338.719 1024 256 10.3
190 gcresnext26ts 2976.22 344.049 1024 256 10.48
191 ecaresnet101d_pruned 2954.94 346.526 1024 224 24.88
192 nf_regnet_b2 2933.65 349.041 1024 272 14.31
193 mobilevit_xs 2913.13 175.744 512 256 2.32
194 seresnext26tn_32x4d 2898.81 353.236 1024 224 16.81
195 seresnext26t_32x4d 2897.48 353.398 1024 224 16.81
196 ecaresnext26t_32x4d 2893.22 353.918 1024 224 15.41
197 ecaresnext50t_32x4d 2891.83 354.088 1024 224 15.41
198 seresnext26d_32x4d 2884.91 354.937 1024 224 16.81
199 ecaresnetlight 2878.45 355.733 1024 224 30.16
200 pit_s_224 2872.59 356.46 1024 224 23.46
201 deit_small_patch16_224 2853.43 358.855 1024 224 22.05
202 pit_s_distilled_224 2851.86 359.052 1024 224 24.04
203 vit_small_patch16_224 2845.41 359.865 1024 224 22.05
204 tf_efficientnet_b2_ap 2814.51 363.814 1024 260 9.11
205 tf_efficientnet_b2_ns 2814.31 363.839 1024 260 9.11
206 coat_lite_tiny 2814.08 363.872 1024 224 5.72
207 tf_efficientnet_b2 2813.96 363.886 1024 260 9.11
208 rexnetr_200 2808.62 182.283 512 224 16.52
209 deit_small_distilled_patch16_224 2801.73 365.478 1024 224 22.44
210 tresnet_m 2787.92 367.287 1024 224 31.39
211 resnetv2_50 2780.22 368.303 1024 224 25.55
212 eca_botnext26ts_256 2766.45 370.137 1024 256 10.59
213 rexnet_200 2763.52 185.259 512 224 16.37
214 vit_base2_patch32_256 2752.1 372.066 1024 256 119.46
215 botnet26t_256 2750.58 372.273 1024 256 12.49
216 halonet26t 2727.12 375.475 1024 256 12.48
217 eca_halonext26ts 2721.42 376.262 1024 256 10.76
218 swsl_resnet50 2693.51 380.159 1024 224 25.56
219 tv_resnet50 2687.71 380.98 1024 224 25.56
220 efficientnet_b0_gn 2686.21 381.194 1024 224 5.29
221 ssl_resnet50 2684.8 381.394 1024 224 25.56
222 gluon_resnet50_v1b 2682.34 381.744 1024 224 25.56
223 resnet50 2681.21 381.904 1024 224 25.56
224 vit_small_resnet26d_224 2675.44 382.728 1024 224 63.61
225 efficientnet_b2a 2654.03 385.816 1024 288 9.11
226 efficientnet_b2 2649.9 386.418 1024 288 9.11
227 coat_lite_mini 2646.6 386.899 1024 224 11.01
228 hrnet_w18_small_v2 2638.47 388.089 1024 224 15.6
229 resnetv2_50t 2621.75 390.565 1024 224 25.57
230 vovnet39a 2620.98 390.68 1024 224 22.6
231 resnetv2_50d 2613.09 391.86 1024 224 25.57
232 bat_resnext26ts 2594.52 394.665 1024 256 10.73
233 resnet32ts 2591.72 395.092 1024 256 17.96
234 efficientnet_em 2587.13 395.792 1024 240 6.9
235 cspresnet50 2561.78 399.709 1024 256 21.62
236 mixnet_l 2560.63 199.939 512 224 7.33
237 resnet33ts 2550.89 401.417 1024 256 19.68
238 dpn68b 2548.03 401.866 1024 224 12.61
239 gluon_resnet50_v1c 2543.04 402.654 1024 224 25.58
240 ese_vovnet39b 2535.01 403.931 1024 224 24.57
241 eca_vovnet39b 2533.56 404.162 1024 224 22.6
242 cspresnext50 2530.86 404.592 1024 224 20.57
243 legacy_seresnet50 2527.3 405.162 1024 224 28.09
244 vgg11_bn 2524.72 202.784 512 224 132.87
245 tf_efficientnet_em 2523.81 405.723 1024 240 6.9
246 resnet50t 2521.66 406.069 1024 224 25.57
247 resnet50d 2517.37 406.76 1024 224 25.58
248 gluon_resnet50_v1d 2514.4 407.243 1024 224 25.58
249 dpn68 2513.01 407.467 1024 224 12.61
250 selecsls84 2490.46 411.155 1024 224 50.95
251 seresnet33ts 2489.53 411.308 1024 256 19.78
252 eca_resnet33ts 2483.09 412.378 1024 256 19.68
253 lambda_resnet26t 2479.99 412.893 1024 256 10.96
254 tf_mixnet_l 2478.99 206.524 512 224 7.33
255 twins_svt_small 2475.31 413.674 1024 224 24.06
256 gcresnet33ts 2439.7 419.711 1024 256 19.88
257 cspresnet50w 2418.46 423.398 1024 256 28.12
258 seresnet50 2407.37 425.348 1024 224 28.09
259 cspresnet50d 2400.89 426.492 1024 256 21.64
260 dla60 2376.63 430.848 1024 224 22.04
261 densenet121 2346.76 436.333 1024 224 7.98
262 resnest26d 2346.08 436.46 1024 224 17.07
263 tv_densenet121 2345.79 436.514 1024 224 7.98
264 xcit_tiny_24_p16_224_dist 2334.54 438.616 1024 224 12.12
265 xcit_nano_12_p16_384_dist 2332.68 438.968 1024 384 3.05
266 xcit_tiny_24_p16_224 2328.43 439.766 1024 224 12.12
267 haloregnetz_b 2320.38 441.294 1024 224 11.68
268 resmlp_24_224 2308.85 443.498 1024 224 30.02
269 resmlp_24_distilled_224 2308.13 443.636 1024 224 30.02
270 resnetaa50d 2295.34 446.109 1024 224 25.58
271 seresnet50t 2282.97 448.526 1024 224 28.1
272 efficientnet_cc_b1_8e 2282.2 448.676 1024 240 39.72
273 convnext_tiny 2276.32 449.828 1024 224 28.59
274 res2net50_48w_2s 2265.43 451.999 1024 224 25.29
275 resnetblur50 2265.02 452.08 1024 224 25.56
276 efficientnet_lite3 2261.44 226.393 512 300 8.2
277 ecaresnet50d 2260.92 452.9 1024 224 25.58
278 efficientnet_b0_g8_gn 2259.05 453.276 1024 224 6.56
279 densenet121d 2243.46 456.425 1024 224 8.0
280 resnetrs50 2241.6 456.804 1024 224 35.69
281 mobilevit_s 2240.37 228.522 512 256 5.58
282 regnetx_032 2201.52 465.118 1024 224 15.3
283 visformer_small 2194.82 466.539 1024 224 40.22
284 gluon_resnet50_v1s 2193.42 466.838 1024 224 25.68
285 tf_efficientnet_cc_b1_8e 2188.26 467.941 1024 240 39.72
286 vit_base_resnet26d_224 2188.18 467.954 1024 224 101.4
287 resnetblur50d 2150.42 476.173 1024 224 25.58
288 gluon_inception_v3 2150.17 476.225 1024 299 23.83
289 adv_inception_v3 2148.48 476.602 1024 299 23.83
290 vovnet57a 2148.25 476.651 1024 224 36.64
291 tf_inception_v3 2147.17 476.894 1024 299 23.83
292 inception_v3 2146.78 476.978 1024 299 23.83
293 densenetblur121d 2133.31 479.992 1024 224 8.0
294 cspresnext50_iabn 2129.31 480.895 1024 256 20.57
295 semobilevit_s 2105.83 243.122 512 256 5.74
296 seresnetaa50d 2088.02 490.403 1024 224 28.11
297 cspdarknet53_iabn 2087.26 490.582 1024 256 27.64
298 swsl_resnext50_32x4d 2080.34 492.214 1024 224 25.03
299 convnext_tiny_hnf 2075.56 493.349 1024 224 28.59
300 ese_vovnet57b 2074.63 493.57 1024 224 38.61
301 tf_efficientnet_lite3 2074.49 246.795 512 300 8.2
302 resnext50_32x4d 2073.97 493.725 1024 224 25.03
303 ssl_resnext50_32x4d 2073.23 493.902 1024 224 25.03
304 gluon_resnext50_32x4d 2072.3 494.125 1024 224 25.03
305 tv_resnext50_32x4d 2055.26 498.221 1024 224 25.03
306 res2net50_26w_4s 2037.79 502.491 1024 224 25.7
307 twins_pcpvt_small 2036.4 502.835 1024 224 24.11
308 xcit_small_12_p16_224_dist 2021.26 506.599 1024 224 26.25
309 tf_efficientnetv2_b3 2020.91 506.688 1024 300 14.36
310 xcit_small_12_p16_224 2020.4 506.814 1024 224 26.25
311 nf_seresnet50 2015.9 507.948 1024 224 28.09
312 skresnet50 2014.26 508.362 1024 224 25.8
313 nf_ecaresnet50 2005.54 510.572 1024 224 25.56
314 regnetx_040 2003.23 511.16 1024 224 22.12
315 efficientnetv2_rw_t 1999.8 512.038 1024 288 13.65
316 sehalonet33ts 1991.52 257.078 512 256 13.69
317 fbnetv3_g 1991.44 514.187 1024 288 16.62
318 dla60x 1986.19 515.547 1024 224 17.35
319 gcresnet50t 1982.14 516.599 1024 256 25.9
320 resnext50d_32x4d 1976.72 518.018 1024 224 25.05
321 lambda_resnet26rpt_256 1950.98 262.42 512 256 10.99
322 gmixer_24_224 1937.61 528.474 1024 224 24.72
323 gc_efficientnetv2_rw_t 1928.42 530.993 1024 288 13.68
324 res2net50_14w_8s 1920.35 533.22 1024 224 25.06
325 skresnet50d 1919.46 533.468 1024 224 25.82
326 densenet169 1916.46 534.305 1024 224 14.15
327 dla60_res2net 1907.38 536.848 1024 224 20.85
328 gcresnext50ts 1902.33 538.276 1024 256 15.67
329 seresnext50_32x4d 1902.13 538.331 1024 224 27.56
330 gluon_seresnext50_32x4d 1901.68 538.457 1024 224 27.56
331 res2next50 1896.89 539.818 1024 224 24.67
332 legacy_seresnext50_32x4d 1896.31 539.984 1024 224 27.56
333 repvgg_b1g4 1884.44 543.384 1024 224 39.97
334 resnest50d_1s4x24d 1879.81 544.722 1024 224 25.68
335 crossvit_small_240 1855.05 551.992 1024 240 26.86
336 nf_regnet_b3 1852.1 552.873 1024 320 18.59
337 darknet53 1847.62 277.102 512 256 41.61
338 mixnet_xl 1839.34 278.346 512 224 11.9
339 dla60_res2next 1829.2 559.793 1024 224 17.03
340 swin_tiny_patch4_window7_224 1820.74 562.394 1024 224 28.29
341 cspdarknet53 1804.24 283.762 512 256 27.64
342 poolformer_s24 1803.36 567.817 1024 224 21.39
343 vit_small_r26_s32_224 1799.77 568.949 1024 224 36.43
344 xcit_nano_12_p8_224_dist 1796.05 570.128 1024 224 3.05
345 xcit_nano_12_p8_224 1795.49 570.304 1024 224 3.05
346 regnetz_b16 1791.93 571.438 1024 288 9.72
347 ecaresnet26t 1786.82 573.073 1024 320 16.01
348 convnext_tiny_hnfd 1744.82 586.868 1024 224 28.63
349 gmlp_s16_224 1741.6 587.951 1024 224 19.42
350 sebotnet33ts_256 1718.54 223.433 384 256 13.7
351 crossvit_15_240 1711.44 598.314 1024 240 27.53
352 resnetv2_101 1693.03 604.82 1024 224 44.54
353 vit_base_resnet50d_224 1670.98 612.798 1024 224 110.97
354 swin_s3_tiny_224 1660.14 616.801 1024 224 28.33
355 repvgg_b1 1657.85 617.654 1024 224 57.42
356 tv_resnet101 1656.03 618.332 1024 224 44.55
357 gluon_resnet101_v1b 1653.8 619.167 1024 224 44.55
358 resnet101 1652.45 619.673 1024 224 44.55
359 tf_efficientnet_b3_ap 1649.82 310.323 512 300 12.23
360 tf_efficientnet_b3 1649.61 310.363 512 300 12.23
361 tf_efficientnet_b3_ns 1649.37 310.407 512 300 12.23
362 crossvit_15_dagger_240 1648.34 621.218 1024 240 28.21
363 lambda_resnet50ts 1639.74 624.475 1024 256 21.54
364 resnetv2_101d 1628.19 628.906 1024 224 44.56
365 efficientnet_b3 1614.3 317.152 512 320 12.23
366 efficientnet_b3a 1613.57 317.296 512 320 12.23
367 gluon_resnet101_v1c 1597.11 641.145 1024 224 44.57
368 resnest50d 1586.43 645.46 1024 224 27.48
369 gluon_resnet101_v1d 1584.97 646.054 1024 224 44.57
370 wide_resnet50_2 1583.06 646.835 1024 224 68.88
371 cait_xxs24_224 1580.68 647.808 1024 224 11.96
372 dla102 1573.96 650.576 1024 224 33.27
373 resnetv2_50x1_bit_distilled 1561.81 655.635 1024 224 25.55
374 res2net50_26w_6s 1556.3 657.955 1024 224 37.05
375 vit_large_patch32_224 1551.79 659.869 1024 224 306.54
376 resmlp_36_224 1549.07 661.03 1024 224 44.69
377 regnetx_080 1548.92 661.091 1024 224 39.57
378 resmlp_36_distilled_224 1548.49 661.277 1024 224 44.69
379 halonet50ts 1542.39 663.891 1024 256 22.73
380 legacy_seresnet101 1528.82 669.783 1024 224 49.33
381 ese_vovnet39b_evos 1523.51 672.121 1024 224 24.58
382 coat_lite_small 1509.49 678.361 1024 224 19.84
383 vgg13_bn 1504.09 340.392 512 224 133.05
384 xcit_tiny_12_p16_384_dist 1501.95 681.763 1024 384 6.72
385 resnetaa101d 1496.92 684.059 1024 224 44.57
386 swin_v2_cr_tiny_224 1495.36 684.765 1024 224 28.33
387 densenet201 1488.38 687.985 1024 224 20.01
388 seresnet101 1484.39 689.83 1024 224 49.33
389 vit_tiny_patch16_384 1479.06 692.319 1024 384 5.79
390 lamhalobotnet50ts_256 1474.4 694.504 1024 256 22.57
391 swin_v2_cr_tiny_ns_224 1471.62 695.817 1024 224 28.33
392 vit_base_patch32_384 1470.27 696.459 1024 384 88.3
393 vit_base_r26_s32_224 1467.48 697.779 1024 224 101.38
394 gluon_resnet101_v1s 1452.66 704.901 1024 224 44.67
395 regnetx_064 1450.48 352.975 512 224 26.21
396 mixer_b16_224 1448.87 706.746 1024 224 59.88
397 nf_resnet101 1448.19 707.076 1024 224 44.55
398 mixer_b16_224_miil 1446.14 708.08 1024 224 59.88
399 resnetv2_50d_frn 1444.18 709.041 1024 224 25.59
400 resnetblur101d 1433.31 714.414 1024 224 44.57
401 nf_resnet50 1425.83 718.163 1024 288 25.56
402 mixer_l32_224 1425.39 718.388 1024 224 206.94
403 ecaresnet101d 1423.43 719.375 1024 224 44.57
404 hrnet_w18 1416.64 722.817 1024 224 21.3
405 convnext_small 1412.23 725.081 1024 224 50.22
406 tresnet_l 1401.27 730.75 1024 224 55.99
407 twins_pcpvt_base 1398.04 732.441 1024 224 43.83
408 regnety_032 1384.84 739.421 1024 288 19.44
409 nest_tiny 1381.77 370.526 512 224 17.06
410 resnet50_gn 1377.54 743.338 1024 224 25.56
411 resnet51q 1366.14 749.545 1024 288 35.7
412 resnetv2_50d_evob 1365.49 749.897 1024 224 25.59
413 jx_nest_tiny 1357.18 377.241 512 224 17.06
414 botnet50ts_256 1354.82 377.899 512 256 22.74
415 xception 1347.6 379.923 512 299 22.86
416 dla102x 1333.01 768.169 1024 224 26.31
417 convit_small 1329.45 770.231 1024 224 27.78
418 halo2botnet50ts_256 1327.73 385.607 512 256 22.64
419 skresnext50_32x4d 1314.86 778.776 1024 224 27.48
420 swsl_resnext101_32x4d 1313.2 779.762 1024 224 44.18
421 ssl_resnext101_32x4d 1309.86 781.751 1024 224 44.18
422 gluon_resnext101_32x4d 1309.44 781.999 1024 224 44.18
423 resnext101_32x4d 1308.3 782.684 1024 224 44.18
424 repvgg_b2g4 1287.88 795.093 1024 224 61.76
425 res2net50_26w_8s 1277.42 801.601 1024 224 48.4
426 res2net101_26w_4s 1275.83 802.597 1024 224 45.21
427 resnest50d_4s2x40d 1267.83 807.666 1024 224 30.42
428 nf_seresnet101 1246.67 821.372 1024 224 49.33
429 twins_svt_base 1242.25 824.296 1024 224 56.07
430 nf_ecaresnet101 1240.12 825.715 1024 224 44.55
431 vgg16_bn 1239.17 413.169 512 224 138.37
432 resnet61q 1236.58 828.077 1024 288 36.85
433 eca_nfnet_l0 1234.82 829.257 1024 288 24.14
434 nfnet_l0 1234.39 829.546 1024 288 35.07
435 hrnet_w32 1225.86 835.318 1024 224 41.23
436 xception41p 1219.47 419.841 512 299 26.91
437 poolformer_s36 1217.85 840.81 1024 224 30.86
438 ese_vovnet99b_iabn 1214.4 843.2 1024 224 63.2
439 crossvit_18_240 1210.54 845.892 1024 240 43.27
440 regnetv_040 1210.02 423.122 512 288 20.64
441 regnety_040 1209.84 423.186 512 288 20.65
442 hrnet_w30 1208.97 846.988 1024 224 37.71
443 dpn92 1205.79 849.224 1024 224 37.67
444 gluon_seresnext101_32x4d 1198.19 854.61 1024 224 48.96
445 seresnext101_32x4d 1197.93 854.792 1024 224 48.96
446 legacy_seresnext101_32x4d 1196.55 855.783 1024 224 48.96
447 efficientnet_el 1181.26 433.424 512 300 10.59
448 efficientnet_el_pruned 1179.3 434.142 512 300 10.59
449 ese_vovnet99b 1178.02 869.24 1024 224 63.2
450 resnetv2_152 1172.64 873.226 1024 224 60.19
451 crossvit_18_dagger_240 1169.98 875.211 1024 240 44.27
452 tf_efficientnet_el 1156.16 442.832 512 300 10.59
453 tv_resnet152 1155.28 886.354 1024 224 60.19
454 resnet152 1153.46 887.752 1024 224 60.19
455 gluon_resnet152_v1b 1153.39 887.802 1024 224 60.19
456 xcit_tiny_12_p8_224_dist 1148.77 891.372 1024 224 6.71
457 xcit_tiny_12_p8_224 1148.55 891.542 1024 224 6.71
458 vit_small_resnet50d_s16_224 1140.9 897.523 1024 224 57.53
459 resnetv2_152d 1140.85 897.561 1024 224 60.2
460 mixnet_xxl 1136.05 338.002 384 224 23.96
461 ecaresnet50t 1133.49 903.391 1024 320 25.57
462 regnetz_c16 1132.12 452.237 512 320 13.46
463 repvgg_b2 1129.63 906.478 1024 224 89.02
464 gluon_resnet152_v1c 1126.87 908.694 1024 224 60.21
465 vit_base_patch16_224_miil 1124.8 910.37 1024 224 86.54
466 gluon_resnet152_v1d 1122.21 912.468 1024 224 60.21
467 volo_d1_224 1121.56 912.997 1024 224 26.63
468 swin_small_patch4_window7_224 1117.13 916.62 1024 224 49.61
469 regnety_040s_gn 1113.45 919.647 1024 224 20.65
470 inception_v4 1099.65 931.189 1024 299 42.68
471 vit_base_patch16_224_sam 1089.03 940.269 1024 224 86.57
472 xception41 1089.03 470.133 512 299 26.97
473 vit_base_patch16_224 1089.0 940.3 1024 224 86.57
474 deit_base_patch16_224 1088.05 941.117 1024 224 86.57
475 xcit_small_24_p16_224_dist 1079.16 948.867 1024 224 47.67
476 xcit_small_24_p16_224 1078.82 949.17 1024 224 47.67
477 densenet161 1076.84 950.914 1024 224 28.68
478 convmixer_1024_20_ks9_p14 1075.95 951.707 1024 224 24.38
479 nfnet_f0 1075.06 952.487 1024 256 71.49
480 deit_base_distilled_patch16_224 1073.74 953.659 1024 224 87.34
481 dla169 1071.22 955.906 1024 224 53.39
482 vgg19_bn 1060.19 482.919 512 224 143.68
483 cait_xxs36_224 1058.79 967.13 1024 224 17.3
484 tnt_s_patch16_224 1056.28 969.422 1024 224 23.76
485 legacy_seresnet152 1054.79 970.791 1024 224 66.82
486 gluon_resnet152_v1s 1052.41 972.991 1024 224 60.32
487 regnetx_120 1048.48 488.312 512 224 46.11
488 seresnet152 1033.07 991.203 1024 224 66.82
489 tresnet_xl 1032.49 991.76 1024 224 78.44
490 efficientnet_lite4 1029.33 373.047 384 380 13.01
491 beit_base_patch16_224 1003.86 1020.053 1024 224 86.53
492 regnety_120 1003.65 510.126 512 224 51.82
493 repvgg_b3g4 997.42 1026.637 1024 224 83.83
494 twins_pcpvt_large 995.78 1028.325 1024 224 60.99
495 convnext_base 984.44 1040.164 1024 224 88.59
496 convnext_base_in22ft1k 984.35 1040.256 1024 224 88.59
497 coat_tiny 976.27 1048.875 1024 224 5.5
498 tf_efficientnet_lite4 967.59 396.848 384 380 13.01
499 pit_b_224 954.91 536.164 512 224 73.76
500 dm_nfnet_f0 948.25 1079.874 1024 256 71.49
501 pit_b_distilled_224 947.46 540.381 512 224 74.79
502 vit_small_patch16_36x1_224 919.98 1113.057 1024 224 64.67
503 wide_resnet101_2 917.07 1116.581 1024 224 126.89
504 swin_v2_cr_small_224 915.96 1117.937 1024 224 49.7
505 dla102x2 910.31 562.434 512 224 41.28
506 resnetv2_50d_gn 909.47 1125.915 1024 288 25.57
507 efficientnetv2_s 905.47 1130.894 1024 384 21.46
508 vit_small_patch16_18x2_224 899.06 1138.948 1024 224 64.67
509 tf_efficientnetv2_s_in21ft1k 889.42 1151.294 1024 384 21.46
510 tf_efficientnetv2_s 889.32 1151.431 1024 384 21.46
511 xception65p 886.31 577.66 512 299 39.82
512 nest_small 881.75 580.652 512 224 38.35
513 twins_svt_large 880.33 1163.185 1024 224 99.27
514 repvgg_b3 878.37 1165.779 1024 224 123.09
515 resnetrs101 877.57 1166.842 1024 288 63.62
516 jx_nest_small 871.53 587.458 512 224 38.35
517 efficientnetv2_rw_s 866.51 1181.735 1024 384 23.94
518 dpn98 862.25 1187.578 1024 224 61.57
519 ens_adv_inception_resnet_v2 856.37 1195.737 1024 299 55.84
520 inception_resnet_v2 855.57 1196.844 1024 299 55.84
521 nf_regnet_b4 854.46 1198.403 1024 384 30.21
522 regnetz_b16_evos 853.4 599.942 512 288 9.74
523 regnetx_160 848.43 603.455 512 224 54.28
524 regnetz_d8 845.88 1210.552 1024 320 23.37
525 cait_s24_224 834.81 1226.608 1024 224 46.92
526 gluon_resnext101_64x4d 834.02 1227.777 1024 224 83.46
527 resnet200 828.19 1236.414 1024 224 64.67
528 regnetz_040 826.88 464.381 384 320 27.12
529 regnetz_040h 823.24 466.438 384 320 28.94
530 efficientnet_b4 820.41 468.046 384 384 19.34
531 swin_s3_small_224 817.53 626.263 512 224 49.74
532 hrnet_w40 816.49 1254.128 1024 224 57.56
533 poolformer_m36 815.39 1255.826 1024 224 56.17
534 swsl_resnext101_32x8d 805.27 1271.611 1024 224 88.79
535 regnety_064 803.23 637.411 512 288 30.58
536 ssl_resnext101_32x8d 802.86 1275.43 1024 224 88.79
537 xcit_tiny_24_p16_384_dist 802.73 1275.631 1024 384 12.12
538 ig_resnext101_32x8d 802.17 1276.521 1024 224 88.79
539 resnext101_32x8d 802.06 1276.704 1024 224 88.79
540 regnetv_064 800.43 639.64 512 288 30.58
541 resnetv2_50d_evos 798.97 640.813 512 288 25.59
542 gluon_xception65 797.15 642.277 512 299 39.92
543 resnet101d 796.13 1286.203 1024 320 44.57
544 xception65 795.21 643.84 512 299 39.92
545 resnest101e 791.92 646.513 512 256 48.28
546 swin_base_patch4_window7_224 791.65 1293.482 1024 224 87.77
547 gluon_seresnext101_64x4d 787.65 1300.055 1024 224 88.23
548 coat_mini 785.23 1304.064 1024 224 10.34
549 tf_efficientnet_b4_ap 782.92 490.459 384 380 19.34
550 tf_efficientnet_b4 782.13 490.953 384 380 19.34
551 tf_efficientnet_b4_ns 782.09 490.976 384 380 19.34
552 regnety_080 767.29 667.271 512 288 39.18
553 hrnet_w44 759.24 1348.7 1024 224 67.06
554 crossvit_base_240 756.03 677.208 512 240 105.03
555 xcit_medium_24_p16_224_dist 748.3 1368.42 1024 224 84.4
556 xcit_medium_24_p16_224 747.93 1369.089 1024 224 84.4
557 gmlp_b16_224 744.43 1375.538 1024 224 73.08
558 hrnet_w48 733.55 1395.939 1024 224 77.47
559 tresnet_m_448 727.54 1407.473 1024 448 31.39
560 vit_large_r50_s32_224 726.03 1410.402 1024 224 328.99
561 regnetz_d32 721.75 1418.755 1024 320 27.58
562 vit_small_patch16_384 684.33 748.167 512 384 22.2
563 tnt_b_patch16_224 677.0 1512.541 1024 224 65.41
564 xcit_small_12_p16_384_dist 675.76 1515.313 1024 384 26.25
565 convit_base 673.78 1519.763 1024 224 86.54
566 swin_s3_base_224 663.17 1544.087 1024 224 71.13
567 swin_v2_cr_base_224 651.94 1570.69 1024 224 87.88
568 densenet264d_iabn 647.21 1582.161 1024 224 72.74
569 efficientnet_b3_gn 646.96 395.683 256 320 11.73
570 dpn131 635.27 1611.889 1024 224 79.25
571 densenet264 628.46 1629.36 1024 224 72.69
572 nest_base 627.45 815.992 512 224 67.72
573 volo_d2_224 626.17 1635.329 1024 224 58.68
574 jx_nest_base 620.43 825.215 512 224 67.72
575 poolformer_m48 615.67 1663.217 1024 224 73.47
576 vit_small_r26_s32_384 611.26 628.196 384 384 36.47
577 xcit_nano_12_p8_384_dist 610.06 1678.498 1024 384 3.05
578 xcit_tiny_24_p8_224 603.0 1698.15 1024 224 12.11
579 xcit_tiny_24_p8_224_dist 602.22 1700.353 1024 224 12.11
580 xception71 600.16 853.086 512 299 42.34
581 hrnet_w64 599.02 1709.451 1024 224 128.06
582 vit_base_r50_s16_224 598.25 1711.642 1024 224 98.66
583 legacy_senet154 582.07 1759.212 1024 224 115.09
584 senet154 582.01 1759.392 1024 224 115.09
585 gluon_senet154 581.94 1759.609 1024 224 115.09
586 dpn107 578.97 1768.627 1024 224 86.92
587 eca_nfnet_l1 575.61 1778.965 1024 320 41.41
588 seresnet200d 562.84 1819.333 1024 256 71.86
589 resnet152d 561.29 1824.359 1024 320 60.21
590 ecaresnet200d 559.73 1829.437 1024 256 64.69
591 convnext_large_in22ft1k 546.71 936.5 512 224 197.77
592 convnext_large 546.09 937.561 512 224 197.77
593 regnetz_c16_evos 539.7 948.669 512 320 13.49
594 regnety_320 534.72 957.496 512 224 145.05
595 regnety_160 523.72 733.2 384 288 83.59
596 efficientnet_b3_g8_gn 520.23 492.079 256 320 14.25
597 xcit_small_12_p8_224 514.94 1988.547 1024 224 26.21
598 xcit_small_12_p8_224_dist 514.63 1989.761 1024 224 26.21
599 halonet_h1 507.89 504.03 256 256 8.1
600 resnext101_64x4d 505.79 1012.259 512 288 83.46
601 seresnet152d 503.07 2035.474 1024 320 66.84
602 resnetrs152 499.61 2049.599 1024 320 86.62
603 vit_large_patch32_384 494.68 2070.028 1024 384 306.63
604 regnetx_320 468.44 819.734 384 224 107.81
605 mixer_l16_224 464.51 2204.436 1024 224 208.2
606 seresnext101_32x8d 461.67 1109.006 512 288 93.57
607 swin_large_patch4_window7_224 454.97 1125.326 512 224 196.53
608 regnetz_e8 451.54 1133.877 512 320 57.7
609 efficientnetv2_m 442.19 2315.716 1024 416 54.14
610 seresnet269d 440.45 2324.895 1024 256 113.67
611 volo_d3_224 438.95 2332.847 1024 224 86.33
612 xcit_large_24_p16_224 432.87 2365.575 1024 224 189.1
613 xcit_large_24_p16_224_dist 432.7 2366.505 1024 224 189.1
614 efficientnet_b5 411.07 622.743 256 456 30.39
615 efficientnetv2_rw_m 406.88 1258.338 512 416 53.24
616 resnet200d 404.01 2534.588 1024 320 64.69
617 tf_efficientnet_b5 395.61 647.082 256 456 30.39
618 tf_efficientnet_b5_ap 395.52 647.242 256 456 30.39
619 tf_efficientnet_b5_ns 395.47 647.322 256 456 30.39
620 resnetv2_50x1_bitm 392.67 1303.884 512 448 25.55
621 xcit_tiny_12_p8_384_dist 390.32 2623.487 1024 384 6.71
622 swin_v2_cr_large_224 385.91 1326.718 512 224 196.68
623 swsl_resnext101_32x16d 375.78 1362.484 512 224 194.03
624 ig_resnext101_32x16d 373.86 1369.478 512 224 194.03
625 ssl_resnext101_32x16d 373.64 1370.28 512 224 194.03
626 regnetz_d8_evos 373.09 1372.306 512 320 23.46
627 swin_v2_cr_tiny_384 364.64 702.039 256 384 28.33
628 tresnet_l_448 361.5 2832.633 1024 448 55.99
629 convnext_xlarge_in22ft1k 360.86 1418.822 512 224 350.2
630 xcit_small_24_p16_384_dist 360.65 2839.301 1024 384 47.67
631 resnetrs200 358.31 2857.856 1024 320 93.21
632 nfnet_f1 357.09 2867.576 1024 320 132.63
633 vit_large_patch16_224 356.78 2870.107 1024 224 304.33
634 crossvit_15_dagger_408 354.9 721.306 256 408 28.5
635 vit_base_patch16_18x2_224 348.19 2940.87 1024 224 256.73
636 tf_efficientnetv2_m_in21ft1k 347.38 1473.892 512 480 54.14
637 tf_efficientnetv2_m 346.86 1476.074 512 480 54.14
638 dm_nfnet_f1 342.33 1495.606 512 320 132.63
639 convnext_base_384_in22ft1k 336.37 1141.59 384 384 88.59
640 beit_large_patch16_224 330.46 3098.668 1024 224 304.43
641 volo_d1_384 293.12 1746.724 512 384 26.78
642 convmixer_768_32 290.99 3518.992 1024 224 21.11
643 eca_nfnet_l2 282.42 1812.878 512 384 56.72
644 volo_d4_224 281.7 3635.003 1024 224 192.96
645 resnetv2_152x2_bit_teacher 280.73 1823.773 512 224 236.34
646 vit_base_patch16_384 280.43 1369.296 384 384 86.86
647 deit_base_patch16_384 280.4 1369.456 384 384 86.86
648 deit_base_distilled_patch16_384 276.56 1388.495 384 384 87.63
649 xcit_small_24_p8_224 269.73 3796.43 1024 224 47.63
650 tresnet_xl_448 269.71 1898.302 512 448 78.44
651 xcit_small_24_p8_224_dist 269.67 3797.157 1024 224 47.63
652 resnest200e 265.14 1931.055 512 320 70.2
653 cait_xxs24_384 264.07 3877.737 1024 384 12.03
654 vit_large_patch14_224 262.13 3906.369 1024 224 304.2
655 crossvit_18_dagger_408 260.17 983.968 256 408 44.61
656 xcit_medium_24_p16_384_dist 254.44 2012.271 512 384 84.4
657 nasnetalarge 254.21 1510.535 384 331 88.75
658 pnasnet5large 251.02 1529.719 384 331 86.06
659 resnetv2_101x1_bitm 246.55 2076.684 512 448 44.54
660 beit_base_patch16_384 241.2 1592.025 384 384 86.74
661 vit_large_r50_s32_384 240.58 1596.142 384 384 329.09
662 efficientnet_b6 239.36 534.745 128 528 43.04
663 ecaresnet269d 233.52 4385.094 1024 352 102.09
664 tf_efficientnet_b6_ns 231.37 553.209 128 528 43.04
665 tf_efficientnet_b6 231.23 553.545 128 528 43.04
666 tf_efficientnet_b6_ap 231.04 553.998 128 528 43.04
667 resnetrs270 227.52 4500.663 1024 352 129.86
668 swin_v2_cr_small_384 224.2 1141.845 256 384 49.7
669 swin_base_patch4_window12_384 211.77 906.647 192 384 87.9
670 resmlp_big_24_224 209.16 4895.869 1024 224 129.14
671 resmlp_big_24_distilled_224 208.94 4900.863 1024 224 129.14
672 resmlp_big_24_224_in22ft1k 208.92 4901.346 1024 224 129.14
673 xcit_tiny_24_p8_384_dist 204.37 5010.586 1024 384 12.11
674 nfnet_f2 200.76 5100.492 1024 352 193.78
675 tf_efficientnetv2_l 199.73 1922.595 384 480 118.52
676 efficientnetv2_l 198.4 2580.63 512 480 118.52
677 tf_efficientnetv2_l_in21ft1k 196.98 2599.257 512 480 118.52
678 dm_nfnet_f2 194.75 2628.942 512 352 193.78
679 xcit_medium_24_p8_224 189.81 2697.371 512 224 84.32
680 xcit_medium_24_p8_224_dist 189.81 2697.462 512 224 84.32
681 volo_d5_224 187.06 5474.175 1024 224 295.46
682 convnext_large_384_in22ft1k 186.8 1370.399 256 384 197.77
683 cait_xs24_384 184.72 2771.758 512 384 26.67
684 vit_base_patch8_224 183.25 1396.951 256 224 86.58
685 cait_xxs36_384 176.62 5797.903 1024 384 17.37
686 vit_base_r50_s16_384 174.09 2205.77 384 384 98.95
687 vit_base_resnet50_384 174.05 2206.21 384 384 98.95
688 xcit_small_12_p8_384_dist 173.11 2957.56 512 384 26.21
689 swin_v2_cr_huge_224 170.28 2255.094 384 224 657.83
690 convmixer_1536_20 167.4 6117.1 1024 224 51.63
691 volo_d2_384 164.47 2334.792 384 384 58.87
692 swin_v2_cr_base_384 160.01 1199.906 192 384 87.88
693 eca_nfnet_l3 159.42 3211.652 512 448 72.04
694 resnetrs350 151.88 3371.146 512 384 163.96
695 xcit_large_24_p16_384_dist 147.05 3481.712 512 384 189.1
696 ig_resnext101_32x32d 146.83 1743.474 256 224 468.53
697 cait_s24_384 142.26 3598.927 512 384 47.06
698 vit_huge_patch14_224 141.6 7231.567 1024 224 632.05
699 efficientnet_b7 139.66 687.357 96 600 66.35
700 tf_efficientnet_b7 135.86 706.608 96 600 66.35
701 tf_efficientnet_b7_ap 135.79 706.955 96 600 66.35
702 tf_efficientnet_b7_ns 135.74 707.2 96 600 66.35
703 efficientnetv2_xl 127.77 3005.388 384 512 208.12
704 tf_efficientnetv2_xl_in21ft1k 127.07 3021.991 384 512 208.12
705 swin_large_patch4_window12_384 125.28 1021.736 128 384 196.74
706 resnest269e 123.52 3108.719 384 416 110.93
707 convnext_xlarge_384_in22ft1k 123.3 1557.136 192 384 350.2
708 xcit_large_24_p8_224 110.05 4652.475 512 224 188.93
709 xcit_large_24_p8_224_dist 109.94 4656.907 512 224 188.93
710 nfnet_f3 109.46 4677.461 512 416 254.92
711 resnetrs420 108.78 4706.738 512 416 191.89
712 dm_nfnet_f3 98.93 5175.208 512 416 254.92
713 swin_v2_cr_large_384 98.1 1304.756 128 384 196.68
714 resnetv2_152x2_bit_teacher_384 97.22 2633.19 256 384 236.34
715 cait_s36_384 95.27 5374.225 512 384 68.37
716 vit_large_patch16_384 94.74 2702.22 256 384 304.72
717 resnetv2_50x3_bitm 94.62 1352.761 128 448 217.32
718 vit_giant_patch14_224 92.89 5511.692 512 224 1012.61
719 xcit_small_24_p8_384_dist 90.84 4227.257 384 384 47.63
720 ig_resnext101_32x48d 87.18 2202.253 192 224 828.41
721 efficientnet_b8 83.91 1144.078 96 672 87.41
722 beit_large_patch16_384 82.64 3097.749 256 384 305.0
723 tf_efficientnet_b8_ap 82.27 1166.925 96 672 87.41
724 tf_efficientnet_b8 82.25 1167.133 96 672 87.41
725 volo_d3_448 72.26 2657.14 192 448 86.63
726 resnetv2_152x2_bitm 71.6 2681.389 192 448 236.34
727 xcit_medium_24_p8_384_dist 64.15 3990.849 256 384 84.32
728 nfnet_f4 60.24 6374.659 384 512 316.07
729 dm_nfnet_f4 59.09 4332.344 256 512 316.07
730 resnetv2_101x3_bitm 58.2 2199.411 128 448 387.93
731 vit_gigantic_patch14_224 56.14 9120.818 512 224 1844.44
732 volo_d4_448 52.76 2425.859 128 448 193.41
733 swin_v2_cr_giant_224 49.04 2610.23 128 224 2598.76
734 tf_efficientnet_l2_ns_475 46.41 1378.993 64 475 480.31
735 nfnet_f5 44.14 5799.172 256 544 377.21
736 swin_v2_cr_huge_384 43.59 1468.203 64 384 657.94
737 dm_nfnet_f5 39.84 6426.216 256 544 377.21
738 xcit_large_24_p8_384_dist 36.78 5220.859 192 384 188.93
739 volo_d5_448 36.57 3500.029 128 448 295.91
740 nfnet_f6 34.59 7401.234 256 576 438.36
741 beit_large_patch16_512 33.3 2882.954 96 512 305.67
742 cait_m36_384 31.36 8162.98 256 384 271.22
743 dm_nfnet_f6 31.17 8214.193 256 576 438.36
744 nfnet_f7 26.91 9514.003 256 608 499.5
745 volo_d5_512 25.64 4991.614 128 512 296.09
746 resnetv2_152x4_bitm 18.58 3444.83 64 480 936.53
747 efficientnet_l2 16.55 1450.295 24 800 480.31
748 tf_efficientnet_l2_ns 16.36 1467.093 24 800 480.31
749 swin_v2_cr_giant_384 13.63 1760.856 24 384 2598.76
750 cait_m48_448 13.35 9584.614 128 448 356.46

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model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
tinynet_e,68298.73,14.982,1024,106,2.04
mobilenetv3_small_050,48773.32,20.985,1024,224,1.59
lcnet_035,47045.94,21.755,1024,224,1.64
lcnet_050,41541.83,24.639,1024,224,1.88
mobilenetv3_small_075,37803.23,27.076,1024,224,2.04
mobilenetv3_small_100,34839.31,29.381,1024,224,2.54
tinynet_d,34615.54,29.571,1024,152,2.34
tf_mobilenetv3_small_minimal_100,31097.5,32.918,1024,224,2.04
tf_mobilenetv3_small_075,30498.6,33.564,1024,224,2.04
tf_mobilenetv3_small_100,28466.28,35.962,1024,224,2.54
lcnet_075,26999.4,37.915,1024,224,2.36
mnasnet_small,23228.74,44.072,1024,224,2.03
lcnet_100,22774.77,44.951,1024,224,2.95
levit_128s,21485.8,47.648,1024,224,7.78
mobilenetv2_035,20032.08,51.106,1024,224,1.68
ghostnet_050,18639.82,54.925,1024,224,2.59
mnasnet_050,18244.9,56.115,1024,224,2.22
regnetx_002,17821.98,57.446,1024,224,2.68
tinynet_c,17586.87,58.214,1024,184,2.46
regnety_002,16673.08,61.405,1024,224,3.16
mobilenetv2_050,16415.14,62.371,1024,224,1.97
semnasnet_050,16295.23,62.83,1024,224,2.08
lcnet_150,15040.68,68.071,1024,224,4.5
levit_128,14657.83,69.849,1024,224,9.21
regnetx_004,14440.03,70.903,1024,224,5.16
gernet_s,14051.59,72.863,1024,224,8.17
mobilenetv3_large_075,13658.47,74.961,1024,224,3.99
levit_192,12892.86,79.412,1024,224,10.95
mnasnet_075,12457.54,82.188,1024,224,3.17
mobilenetv3_rw,12442.0,82.291,1024,224,5.48
hardcorenas_a,12441.72,82.293,1024,224,5.26
mixer_s32_224,12325.03,83.072,1024,224,19.1
mobilenetv3_large_100,12253.83,83.554,1024,224,5.48
mobilenetv3_large_100_miil,12253.15,83.559,1024,224,5.48
vit_small_patch32_224,12098.59,84.625,1024,224,22.88
tf_mobilenetv3_large_075,11757.16,87.085,1024,224,3.99
tinynet_b,11714.84,87.399,1024,188,3.73
hardcorenas_b,11307.89,90.545,1024,224,5.18
hardcorenas_c,11295.65,90.643,1024,224,5.52
ese_vovnet19b_slim_dw,11295.18,90.646,1024,224,1.9
tf_mobilenetv3_large_minimal_100,11279.9,90.77,1024,224,3.92
mnasnet_b1,10903.65,93.902,1024,224,4.38
mnasnet_100,10903.28,93.906,1024,224,4.38
swsl_resnet18,10835.46,94.49,1024,224,11.69
ssl_resnet18,10829.31,94.547,1024,224,11.69
resnet18,10826.05,94.576,1024,224,11.69
gluon_resnet18_v1b,10791.4,94.879,1024,224,11.69
tf_mobilenetv3_large_100,10638.58,96.242,1024,224,5.48
hardcorenas_d,10551.44,97.037,1024,224,7.5
semnasnet_075,10519.79,97.329,1024,224,2.91
ghostnet_100,10434.77,98.122,1024,224,5.18
mobilenetv2_075,10372.86,98.708,1024,224,2.64
seresnet18,10183.7,100.541,1024,224,11.78
regnety_006,9982.58,102.567,1024,224,6.06
vit_tiny_r_s16_p8_224,9895.77,103.465,1024,224,6.34
spnasnet_100,9875.93,103.675,1024,224,4.42
legacy_seresnet18,9845.25,103.999,1024,224,11.78
regnety_004,9552.58,107.183,1024,224,4.34
levit_256,9434.24,108.53,1024,224,18.89
tinynet_a,9412.38,108.782,1024,192,6.19
hardcorenas_f,9390.96,109.029,1024,224,8.2
semnasnet_100,9334.36,109.69,1024,224,3.89
mnasnet_a1,9318.68,109.875,1024,224,3.89
mobilenetv2_100,9260.72,110.564,1024,224,3.5
hardcorenas_e,9255.53,110.624,1024,224,8.07
tf_efficientnetv2_b0,9250.71,110.683,1024,224,7.14
fbnetc_100,9032.97,113.35,1024,224,5.57
efficientnet_lite0,8999.14,113.778,1024,224,4.65
resnet18d,8913.81,114.867,1024,224,11.71
ese_vovnet19b_slim,8715.26,117.484,1024,224,3.17
regnetx_008,8458.52,121.05,1024,224,7.26
levit_256d,8024.27,127.602,1024,224,26.21
regnetx_006,7937.85,128.991,1024,224,6.2
regnety_008,7871.11,130.085,1024,224,6.26
tf_efficientnet_lite0,7813.92,131.036,1024,224,4.65
efficientnet_b0,7681.79,133.291,1024,224,5.29
ghostnet_130,7655.04,133.756,1024,224,7.36
mnasnet_140,7500.9,136.506,1024,224,7.12
xcit_nano_12_p16_224_dist,7406.15,138.252,1024,224,3.05
xcit_nano_12_p16_224,7390.69,138.541,1024,224,3.05
rexnetr_100,7266.82,140.903,1024,224,4.88
mobilenetv2_110d,7027.38,145.704,1024,224,4.52
tf_efficientnet_b0_ap,6815.39,150.235,1024,224,5.29
tf_efficientnet_b0,6815.06,150.243,1024,224,5.29
tf_efficientnet_b0_ns,6813.82,150.27,1024,224,5.29
regnetz_005,6657.81,153.793,1024,224,7.12
hrnet_w18_small,6626.19,154.526,1024,224,13.19
gernet_m,6452.0,158.699,1024,224,21.14
semnasnet_140,6407.4,159.804,1024,224,6.11
tv_resnet34,6289.18,162.807,1024,224,21.8
gluon_resnet34_v1b,6283.02,162.967,1024,224,21.8
resnet34,6262.0,163.515,1024,224,21.8
vit_tiny_patch16_224,6224.71,164.493,1024,224,5.72
mobilenetv2_140,6223.01,164.539,1024,224,6.11
deit_tiny_patch16_224,6218.5,164.657,1024,224,5.72
ese_vovnet19b_dw,6178.2,165.733,1024,224,6.54
deit_tiny_distilled_patch16_224,6117.9,167.365,1024,224,5.91
efficientnet_b1_pruned,6023.92,169.977,1024,240,6.33
efficientnet_lite1,5983.27,171.132,1024,240,5.42
tf_efficientnetv2_b1,5921.06,172.93,1024,240,8.14
selecsls42,5908.85,173.287,1024,224,30.35
fbnetv3_b,5903.05,173.458,1024,256,8.6
seresnet34,5898.43,173.594,1024,224,21.96
selecsls42b,5885.09,173.988,1024,224,32.46
rexnet_100,5871.63,174.387,1024,224,4.8
pit_ti_distilled_224,5837.73,175.397,1024,224,5.1
pit_ti_224,5807.14,176.321,1024,224,4.85
efficientnet_es,5711.75,179.268,1024,224,5.44
efficientnet_es_pruned,5710.76,179.298,1024,224,5.44
resnet26,5694.28,179.817,1024,224,16.0
legacy_seresnet34,5670.37,180.577,1024,224,21.96
levit_384,5643.3,181.443,1024,224,39.13
resnet34d,5571.88,183.768,1024,224,21.82
resnetblur18,5507.37,185.919,1024,224,11.69
rexnetr_130,5484.64,186.691,1024,224,7.61
nf_regnet_b0,5429.0,188.605,1024,256,8.76
tf_efficientnet_es,5424.57,188.76,1024,224,5.44
tf_efficientnet_lite1,5360.34,191.021,1024,240,5.42
skresnet18,5350.54,191.371,1024,224,11.96
selecsls60,5263.66,194.53,1024,224,30.67
selecsls60b,5251.8,194.969,1024,224,32.77
mobilenetv2_120d,5160.96,198.401,1024,224,5.83
mobilevit_xxs,5125.56,199.771,1024,256,1.27
repvgg_b0,5049.08,202.797,1024,224,15.82
resnet26d,4891.07,209.349,1024,224,16.01
fbnetv3_d,4812.34,212.774,1024,256,10.31
rexnetr_150,4791.0,213.722,1024,224,9.78
xcit_tiny_12_p16_224_dist,4778.77,214.269,1024,224,6.72
xcit_tiny_12_p16_224,4774.3,214.469,1024,224,6.72
visformer_tiny,4714.23,217.203,1024,224,10.32
nf_resnet26,4639.54,220.7,1024,224,16.0
efficientnet_lite2,4604.04,222.402,1024,260,6.09
pit_xs_224,4582.73,223.434,1024,224,10.62
pit_xs_distilled_224,4539.81,225.546,1024,224,11.0
resmlp_12_distilled_224,4519.92,226.541,1024,224,15.35
resmlp_12_224,4518.97,226.589,1024,224,15.35
tf_efficientnetv2_b2,4403.08,232.553,1024,260,10.1
vit_base_patch32_224_sam,4330.12,236.472,1024,224,88.22
vit_base_patch32_224,4316.0,237.246,1024,224,88.22
mixer_b32_224,4294.72,238.421,1024,224,60.29
tf_efficientnet_b1_ns,4267.56,239.936,1024,240,7.79
tf_efficientnet_b1_ap,4266.36,240.004,1024,240,7.79
tf_efficientnet_b1,4266.12,240.017,1024,240,7.79
efficientnet_b0_g16_evos,4260.91,240.312,1024,224,8.11
legacy_seresnext26_32x4d,4210.62,243.183,1024,224,16.79
mixer_s16_224,4210.38,243.197,1024,224,18.53
gernet_l,4176.68,245.159,1024,256,31.08
tf_efficientnet_lite2,4154.51,246.467,1024,260,6.09
gmixer_12_224,4127.0,248.109,1024,224,12.7
efficientnet_b1,4101.97,249.625,1024,256,7.79
resnext26ts,4091.38,250.27,1024,256,10.3
rexnet_130,4013.83,255.106,1024,224,7.56
seresnext26ts,3966.87,258.123,1024,256,10.39
nf_seresnet26,3954.94,258.905,1024,224,17.4
eca_resnext26ts,3953.54,258.996,1024,256,10.3
nf_ecaresnet26,3938.91,259.956,1024,224,16.0
repvgg_a2,3868.66,264.68,1024,224,28.21
gmlp_ti16_224,3865.39,264.903,1024,224,5.87
crossvit_tiny_240,3854.54,265.648,1024,240,7.01
efficientnet_b2_pruned,3821.39,267.953,1024,260,8.31
vit_small_patch32_384,3802.4,269.289,1024,384,22.92
resnet26t,3789.73,270.19,1024,256,16.01
regnetx_016,3776.49,271.139,1024,224,9.19
rexnet_150,3774.39,271.29,1024,224,9.73
seresnext26t_32x4d,3769.71,271.627,1024,224,16.81
seresnext26tn_32x4d,3769.68,271.629,1024,224,16.81
gcresnext26ts,3763.59,272.069,1024,256,10.48
seresnext26d_32x4d,3760.94,272.26,1024,224,16.81
ecaresnext50t_32x4d,3751.71,272.931,1024,224,15.41
ecaresnext26t_32x4d,3745.62,273.373,1024,224,15.41
ecaresnet50d_pruned,3714.28,275.68,1024,224,19.94
resnetv2_50,3703.17,276.505,1024,224,25.55
eca_botnext26ts_256,3685.99,277.797,1024,256,10.59
crossvit_9_240,3640.93,281.235,1024,240,8.55
ecaresnetlight,3588.5,285.344,1024,224,30.16
eca_halonext26ts,3573.18,286.568,1024,256,10.76
crossvit_9_dagger_240,3562.28,287.444,1024,240,8.78
poolformer_s12,3555.09,288.026,1024,224,11.92
swsl_resnet50,3536.6,289.53,1024,224,25.56
gluon_resnet50_v1b,3534.52,289.702,1024,224,25.56
tv_resnet50,3534.18,289.73,1024,224,25.56
resnet50,3528.73,290.177,1024,224,25.56
ssl_resnet50,3522.22,290.713,1024,224,25.56
rexnetr_200,3521.98,145.362,512,224,16.52
dla46_c,3494.33,293.033,1024,224,1.3
botnet26t_256,3447.34,297.026,1024,256,12.49
efficientnet_em,3434.61,298.129,1024,240,6.9
dpn68,3423.83,299.067,1024,224,12.61
resnet32ts,3414.56,299.879,1024,256,17.96
dpn68b,3412.63,300.049,1024,224,12.61
regnety_016,3408.85,300.382,1024,224,11.2
halonet26t,3379.19,303.017,1024,256,12.48
resnetv2_50t,3374.73,303.416,1024,224,25.57
resnetv2_50d,3370.34,303.812,1024,224,25.57
resnet33ts,3369.92,303.852,1024,256,19.68
nf_regnet_b1,3357.92,304.938,1024,288,10.22
gluon_resnet50_v1c,3339.61,306.611,1024,224,25.58
nf_regnet_b2,3329.81,307.512,1024,272,14.31
tf_efficientnet_b2_ap,3315.4,308.848,1024,260,9.11
tf_efficientnet_b2_ns,3314.91,308.894,1024,260,9.11
tf_efficientnet_em,3313.67,309.011,1024,240,6.9
tf_efficientnet_b2,3313.08,309.063,1024,260,9.11
seresnet33ts,3285.4,311.671,1024,256,19.78
eca_resnet33ts,3264.82,313.634,1024,256,19.68
resnet50t,3209.81,319.009,1024,224,25.57
bat_resnext26ts,3208.41,319.147,1024,256,10.73
legacy_seresnet50,3208.39,319.15,1024,224,28.09
gluon_resnet50_v1d,3207.43,319.246,1024,224,25.58
convnext_nano_hnf,3203.44,319.644,1024,224,15.59
resnet50d,3201.53,319.835,1024,224,25.58
convit_tiny,3182.1,321.788,1024,224,5.71
gcresnet33ts,3115.24,328.694,1024,256,19.88
vit_small_resnet26d_224,3114.54,328.764,1024,224,63.61
efficientnet_b2,3113.3,328.898,1024,288,9.11
efficientnet_b2a,3112.75,328.957,1024,288,9.11
efficientnet_b3_pruned,3098.33,330.489,1024,300,9.86
mobilevit_xs,3098.23,165.245,512,256,2.32
vovnet39a,3094.91,330.85,1024,224,22.6
seresnet50,3084.99,331.918,1024,224,28.09
haloregnetz_b,3050.82,335.635,1024,224,11.68
skresnet34,3016.36,339.47,1024,224,22.28
ese_vovnet39b,2991.04,342.343,1024,224,24.57
eca_vovnet39b,2984.95,343.042,1024,224,22.6
cspresnext50,2981.83,343.401,1024,224,20.57
selecsls84,2979.47,343.673,1024,224,50.95
res2net50_48w_2s,2961.27,345.783,1024,224,25.29
ssl_resnext50_32x4d,2883.39,355.125,1024,224,25.03
resnext50_32x4d,2879.89,355.557,1024,224,25.03
swsl_resnext50_32x4d,2879.83,355.563,1024,224,25.03
tv_resnext50_32x4d,2876.25,356.006,1024,224,25.03
gluon_resnext50_32x4d,2870.17,356.762,1024,224,25.03
resnetaa50d,2869.21,356.878,1024,224,25.58
tv_densenet121,2861.74,357.812,1024,224,7.98
densenet121,2859.4,358.103,1024,224,7.98
mixnet_s,2849.57,359.34,1024,224,4.13
seresnet50t,2844.85,359.936,1024,224,28.1
resnetrs50,2844.33,360.0,1024,224,35.69
deit_small_patch16_224,2839.86,360.568,1024,224,22.05
vit_small_patch16_224,2838.21,360.777,1024,224,22.05
ecaresnet101d_pruned,2833.47,361.381,1024,224,24.88
coat_lite_tiny,2832.3,361.531,1024,224,5.72
gluon_resnet50_v1s,2824.57,362.521,1024,224,25.68
pit_s_224,2821.07,362.969,1024,224,23.46
ecaresnet50d,2815.88,363.64,1024,224,25.58
rexnet_200,2812.74,182.018,512,224,16.37
pit_s_distilled_224,2802.25,365.406,1024,224,24.04
deit_small_distilled_patch16_224,2791.58,366.805,1024,224,22.44
dla34,2790.34,366.966,1024,224,15.74
dla46x_c,2773.06,369.253,1024,224,1.07
cspresnet50,2754.0,371.811,1024,256,21.62
hrnet_w18_small_v2,2736.24,374.217,1024,224,15.6
densenet121d,2731.76,374.837,1024,224,8.0
tf_mixnet_s,2728.68,375.26,1024,224,4.13
efficientnet_lite3,2718.45,188.332,512,300,8.2
regnetz_b16,2715.55,377.076,1024,288,9.72
dla60x_c,2712.17,377.543,1024,224,1.32
vit_tiny_r_s16_p8_384,2700.75,189.562,512,384,6.36
coat_lite_mini,2663.5,384.444,1024,224,11.01
resnext50d_32x4d,2662.22,384.629,1024,224,25.05
resnetblur50,2619.08,390.962,1024,224,25.56
cspresnet50d,2596.32,394.393,1024,256,21.64
vgg11_bn,2593.2,197.428,512,224,132.87
vit_base2_patch32_256,2576.99,397.35,1024,256,119.46
seresnetaa50d,2576.43,397.436,1024,224,28.11
cspresnet50w,2574.64,397.712,1024,256,28.12
seresnext50_32x4d,2574.54,397.729,1024,224,27.56
lambda_resnet26rpt_256,2573.59,397.876,1024,256,10.99
legacy_seresnext50_32x4d,2571.71,398.166,1024,224,27.56
xcit_nano_12_p16_384_dist,2569.25,398.547,1024,384,3.05
gluon_seresnext50_32x4d,2564.07,399.352,1024,224,27.56
xcit_tiny_24_p16_224_dist,2557.0,400.456,1024,224,12.12
xcit_tiny_24_p16_224,2556.28,400.571,1024,224,12.12
efficientnetv2_rw_t,2545.32,402.294,1024,288,13.65
vovnet57a,2538.22,403.418,1024,224,36.64
fbnetv3_g,2530.36,404.673,1024,288,16.62
gcresnet50t,2514.25,407.265,1024,256,25.9
res2net50_26w_4s,2505.47,408.693,1024,224,25.7
tf_efficientnetv2_b3,2496.85,410.104,1024,300,14.36
twins_svt_small,2488.33,411.508,1024,224,24.06
vit_base_resnet26d_224,2472.64,414.118,1024,224,101.4
ese_vovnet57b,2446.54,418.537,1024,224,38.61
densenetblur121d,2445.52,418.711,1024,224,8.0
tf_efficientnet_lite3,2442.63,209.598,512,300,8.2
resnetblur50d,2422.6,422.672,1024,224,25.58
mobilevit_s,2415.06,211.991,512,256,5.58
resnest14d,2409.35,424.998,1024,224,10.61
tf_inception_v3,2400.27,426.605,1024,299,23.83
gluon_inception_v3,2398.26,426.963,1024,299,23.83
nf_seresnet50,2397.62,427.078,1024,224,28.09
inception_v3,2397.12,427.166,1024,299,23.83
nf_ecaresnet50,2388.81,428.654,1024,224,25.56
adv_inception_v3,2388.59,428.689,1024,299,23.83
densenet169,2362.23,433.477,1024,224,14.15
sehalonet33ts,2337.63,219.014,512,256,13.69
resmlp_24_224,2312.09,442.876,1024,224,30.02
gc_efficientnetv2_rw_t,2311.11,443.065,1024,288,13.68
resmlp_24_distilled_224,2308.78,443.512,1024,224,30.02
convnext_tiny,2275.45,450.007,1024,224,28.59
gcresnext50ts,2263.71,452.341,1024,256,15.67
res2net50_14w_8s,2252.88,454.515,1024,224,25.06
semobilevit_s,2250.59,227.485,512,256,5.74
darknet53,2248.73,227.672,512,256,41.61
resnetv2_101,2235.55,458.038,1024,224,44.54
xcit_small_12_p16_224_dist,2216.94,461.885,1024,224,26.25
xcit_small_12_p16_224,2212.11,462.891,1024,224,26.25
skresnet50,2193.01,466.925,1024,224,25.8
resnet101,2170.93,471.673,1024,224,44.55
tv_resnet101,2164.75,473.02,1024,224,44.55
gluon_resnet101_v1b,2163.02,473.399,1024,224,44.55
res2next50,2156.68,474.791,1024,224,24.67
ecaresnet26t,2145.15,477.343,1024,320,16.01
nf_regnet_b3,2126.07,481.627,1024,320,18.59
gmixer_24_224,2110.93,485.081,1024,224,24.72
resnetv2_101d,2090.05,489.925,1024,224,44.56
gluon_resnet101_v1c,2088.96,490.184,1024,224,44.57
dla60,2087.19,490.597,1024,224,22.04
convnext_tiny_hnf,2073.34,493.877,1024,224,28.59
skresnet50d,2063.75,496.172,1024,224,25.82
twins_pcpvt_small,2048.61,499.837,1024,224,24.11
gluon_resnet101_v1d,2036.64,502.777,1024,224,44.57
vgg13,2019.99,506.92,1024,224,133.05
efficientnet_b0_gn,2017.66,253.748,512,224,5.29
wide_resnet50_2,2001.07,511.71,1024,224,68.88
sebotnet33ts_256,1999.77,192.009,384,256,13.7
xcit_nano_12_p8_224,1978.07,517.663,1024,224,3.05
xcit_nano_12_p8_224_dist,1977.13,517.91,1024,224,3.05
vit_base_resnet50d_224,1950.99,524.848,1024,224,110.97
repvgg_b1,1936.11,528.882,1024,224,57.42
legacy_seresnet101,1932.53,529.863,1024,224,49.33
dla60x,1896.77,539.852,1024,224,17.35
resnetaa101d,1893.61,540.751,1024,224,44.57
tf_efficientnet_b3_ns,1893.08,270.444,512,300,12.23
tf_efficientnet_b3_ap,1892.83,270.481,512,300,12.23
tf_efficientnet_b3,1892.52,270.524,512,300,12.23
seresnet101,1891.69,541.301,1024,224,49.33
gluon_resnet101_v1s,1874.89,546.152,1024,224,44.67
resnet51q,1869.52,547.722,1024,288,35.7
efficientnet_b3,1853.06,276.288,512,320,12.23
efficientnet_b3a,1852.72,276.339,512,320,12.23
crossvit_small_240,1844.12,555.265,1024,240,26.86
poolformer_s24,1843.54,555.44,1024,224,21.39
swin_tiny_patch4_window7_224,1831.44,559.111,1024,224,28.29
halonet50ts,1826.61,560.589,1024,256,22.73
densenet201,1818.74,563.014,1024,224,20.01
gmlp_s16_224,1810.78,565.489,1024,224,19.42
ssl_resnext101_32x4d,1796.49,569.986,1024,224,44.18
resnext101_32x4d,1794.8,570.526,1024,224,44.18
swsl_resnext101_32x4d,1794.2,570.714,1024,224,44.18
convnext_tiny_hnfd,1793.87,570.819,1024,224,28.63
gluon_resnext101_32x4d,1791.38,571.613,1024,224,44.18
cspdarknet53,1782.45,287.233,512,256,27.64
nf_resnet101,1778.39,575.79,1024,224,44.55
vit_small_r26_s32_224,1778.32,575.808,1024,224,36.43
ecaresnet101d,1778.2,575.85,1024,224,44.57
regnetz_c16,1772.58,288.833,512,320,13.46
res2net50_26w_6s,1761.45,581.325,1024,224,37.05
resnest26d,1761.21,581.405,1024,224,17.07
dla60_res2net,1720.09,595.302,1024,224,20.85
nf_resnet50,1719.27,595.589,1024,288,25.56
crossvit_15_240,1700.36,602.213,1024,240,27.53
resnetblur101d,1688.41,606.472,1024,224,44.57
resnet61q,1677.9,610.274,1024,288,36.85
swin_s3_tiny_224,1668.56,613.692,1024,224,28.33
xcit_tiny_12_p16_384_dist,1651.99,619.843,1024,384,6.72
crossvit_15_dagger_240,1651.71,619.951,1024,240,28.21
resnetv2_50d_frn,1650.73,620.316,1024,224,25.59
vgg13_bn,1642.03,311.797,512,224,133.05
efficientnet_b0_g8_gn,1637.47,312.665,512,224,6.56
vgg16,1632.03,627.428,1024,224,138.36
cait_xxs24_224,1630.9,627.86,1024,224,11.96
repvgg_b1g4,1614.79,634.126,1024,224,39.97
regnetx_032,1605.58,637.76,1024,224,15.3
seresnext101_32x4d,1600.47,639.797,1024,224,48.96
gluon_seresnext101_32x4d,1597.12,641.141,1024,224,48.96
legacy_seresnext101_32x4d,1596.46,641.406,1024,224,48.96
botnet50ts_256,1594.64,321.062,512,256,22.74
res2net101_26w_4s,1591.38,643.454,1024,224,45.21
regnetx_040,1586.28,645.521,1024,224,22.12
ese_vovnet39b_evos,1584.69,646.169,1024,224,24.58
resnetv2_50d_evob,1578.15,648.842,1024,224,25.59
resnetv2_50x1_bit_distilled,1562.05,655.535,1024,224,25.55
visformer_small,1557.14,657.604,1024,224,40.22
xception41p,1555.03,329.24,512,299,26.91
resnetv2_152,1552.32,659.642,1024,224,60.19
dla102,1552.08,659.747,1024,224,33.27
resmlp_36_224,1551.92,659.816,1024,224,44.69
dla60_res2next,1551.9,659.821,1024,224,17.03
resmlp_36_distilled_224,1551.61,659.949,1024,224,44.69
resnest50d_1s4x24d,1548.62,661.22,1024,224,25.68
xception,1546.37,331.084,512,299,22.86
hrnet_w32,1543.69,663.332,1024,224,41.23
halo2botnet50ts_256,1528.74,669.82,1024,256,22.64
tv_resnet152,1516.25,675.334,1024,224,60.19
coat_lite_small,1515.55,675.647,1024,224,19.84
mixer_b16_224,1515.3,675.76,1024,224,59.88
mixer_b16_224_miil,1514.28,676.214,1024,224,59.88
gluon_resnet152_v1b,1512.22,677.139,1024,224,60.19
resnet152,1507.31,679.341,1024,224,60.19
efficientnet_el,1505.49,340.076,512,300,10.59
efficientnet_el_pruned,1505.01,340.185,512,300,10.59
vit_large_patch32_224,1500.0,682.653,1024,224,306.54
swin_v2_cr_tiny_224,1497.15,683.946,1024,224,28.33
res2net50_26w_8s,1487.1,688.575,1024,224,48.4
nf_seresnet101,1486.78,688.723,1024,224,49.33
resnetv2_152d,1485.01,689.541,1024,224,60.2
nf_ecaresnet101,1477.89,692.868,1024,224,44.55
gluon_resnet152_v1c,1474.38,694.516,1024,224,60.21
swin_v2_cr_tiny_ns_224,1472.66,695.323,1024,224,28.33
tf_efficientnet_el,1464.69,349.551,512,300,10.59
vit_tiny_patch16_384,1460.68,701.028,1024,384,5.79
vit_base_r26_s32_224,1452.81,704.825,1024,224,101.38
gluon_resnet152_v1d,1447.4,707.462,1024,224,60.21
hrnet_w18,1432.55,714.792,1024,224,21.3
mixnet_m,1431.87,715.134,1024,224,5.01
mixer_l32_224,1426.61,717.775,1024,224,206.94
dla102x,1416.93,722.674,1024,224,26.31
tf_mixnet_m,1413.24,724.561,1024,224,5.01
convnext_small,1410.61,725.911,1024,224,50.22
twins_pcpvt_base,1405.32,728.645,1024,224,43.83
ecaresnet50t,1382.49,740.677,1024,320,25.57
nest_tiny,1378.24,371.475,512,224,17.06
vit_base_patch32_384,1377.87,743.165,1024,384,88.3
convit_small,1368.52,748.238,1024,224,27.78
regnety_032,1367.75,748.662,1024,288,19.44
vgg19,1367.17,748.977,1024,224,143.67
gluon_resnet152_v1s,1363.8,750.829,1024,224,60.32
vgg16_bn,1363.24,375.563,512,224,138.37
jx_nest_tiny,1354.35,378.027,512,224,17.06
ese_vovnet99b,1351.66,757.57,1024,224,63.2
xception41,1337.66,382.745,512,299,26.97
legacy_seresnet152,1335.99,766.462,1024,224,66.82
seresnet152,1317.5,777.213,1024,224,66.82
dpn92,1303.11,785.8,1024,224,37.67
efficientnet_lite4,1287.19,298.314,384,380,13.01
tresnet_m,1283.27,797.947,1024,224,31.39
inception_v4,1282.29,798.555,1024,299,42.68
densenet161,1276.9,801.927,1024,224,28.68
xcit_tiny_12_p8_224_dist,1263.32,810.55,1024,224,6.71
xcit_tiny_12_p8_224,1260.86,812.129,1024,224,6.71
regnetx_080,1259.62,812.931,1024,224,39.57
skresnext50_32x4d,1255.24,815.767,1024,224,27.48
vit_small_resnet50d_s16_224,1252.87,817.305,1024,224,57.53
twins_svt_base,1249.6,819.445,1024,224,56.07
poolformer_s36,1245.02,822.461,1024,224,30.86
repvgg_b2,1243.81,823.263,1024,224,89.02
volo_d1_224,1232.57,830.769,1024,224,26.63
hrnet_w30,1221.32,838.421,1024,224,37.71
crossvit_18_240,1205.55,849.387,1024,240,43.27
resnest50d,1199.06,853.99,1024,224,27.48
tf_efficientnet_lite4,1182.46,324.733,384,380,13.01
xcit_small_24_p16_224_dist,1182.35,866.056,1024,224,47.67
xcit_small_24_p16_224,1181.92,866.371,1024,224,47.67
crossvit_18_dagger_240,1172.17,873.578,1024,240,44.27
regnetx_064,1166.56,438.885,512,224,26.21
vgg19_bn,1163.98,439.857,512,224,143.68
nf_regnet_b4,1158.13,884.17,1024,384,30.21
efficientnetv2_s,1149.66,890.683,1024,384,21.46
regnetz_d8,1143.01,895.867,1024,320,23.37
resnet50_gn,1132.8,903.934,1024,224,25.56
dla169,1130.6,905.699,1024,224,53.39
wide_resnet101_2,1125.72,909.622,1024,224,126.89
swin_small_patch4_window7_224,1123.67,911.288,1024,224,49.61
tf_efficientnetv2_s,1123.66,911.292,1024,384,21.46
tf_efficientnetv2_s_in21ft1k,1121.7,912.889,1024,384,21.46
gluon_resnext101_64x4d,1118.73,915.313,1024,224,83.46
mixnet_l,1117.6,458.111,512,224,7.33
xception65p,1115.45,458.995,512,299,39.82
vit_base_patch16_224_miil,1108.89,923.433,1024,224,86.54
nfnet_l0,1101.58,929.561,1024,288,35.07
eca_nfnet_l0,1100.75,930.261,1024,288,24.14
tf_mixnet_l,1100.74,465.128,512,224,7.33
dpn98,1097.38,933.115,1024,224,61.57
resnet200,1096.34,934.004,1024,224,64.67
resnetrs101,1095.82,934.443,1024,288,63.62
cait_xxs36_224,1095.14,935.023,1024,224,17.3
efficientnetv2_rw_s,1089.64,939.747,1024,384,23.94
vit_base_patch16_224_sam,1073.62,953.767,1024,224,86.57
vit_base_patch16_224,1073.46,953.912,1024,224,86.57
deit_base_patch16_224,1071.76,955.424,1024,224,86.57
inception_resnet_v2,1061.78,964.405,1024,299,55.84
ens_adv_inception_resnet_v2,1058.32,967.554,1024,299,55.84
deit_base_distilled_patch16_224,1057.89,967.952,1024,224,87.34
tnt_s_patch16_224,1053.73,971.773,1024,224,23.76
dla102x2,1044.22,490.307,512,224,41.28
regnetz_040,1039.59,369.364,384,320,27.12
gluon_seresnext101_64x4d,1039.37,985.196,1024,224,88.23
regnetz_040h,1034.17,371.302,384,320,28.94
resnext101_32x8d,1033.81,990.5,1024,224,88.79
ssl_resnext101_32x8d,1033.7,990.597,1024,224,88.79
swsl_resnext101_32x8d,1033.38,990.91,1024,224,88.79
ig_resnext101_32x8d,1028.15,995.947,1024,224,88.79
regnetz_d32,1009.91,1013.934,1024,320,27.58
resnest50d_4s2x40d,1008.21,1015.647,1024,224,30.42
repvgg_b3,1001.81,1022.132,1024,224,123.09
twins_pcpvt_large,999.56,1024.437,1024,224,60.99
resnet101d,999.12,1024.886,1024,320,44.57
beit_base_patch16_224,993.76,1030.414,1024,224,86.53
convnext_base,982.94,1041.763,1024,224,88.59
convnext_base_in22ft1k,982.23,1042.511,1024,224,88.59
hrnet_w40,980.59,1044.254,1024,224,57.56
coat_tiny,977.86,1047.174,1024,224,5.5
efficientnet_b4,974.19,394.16,384,384,19.34
gluon_xception65,972.42,526.509,512,299,39.92
xception65,965.78,530.126,512,299,39.92
pit_b_224,946.3,541.042,512,224,73.76
regnetz_b16_evos,945.35,541.586,512,288,9.74
pit_b_distilled_224,942.16,543.418,512,224,74.79
tf_efficientnet_b4,925.87,414.732,384,380,19.34
tf_efficientnet_b4_ap,925.37,414.955,384,380,19.34
tf_efficientnet_b4_ns,925.29,414.99,384,380,19.34
vit_small_patch16_36x1_224,920.52,1112.401,1024,224,64.67
swin_v2_cr_small_224,915.78,1118.157,1024,224,49.7
vit_small_patch16_18x2_224,899.5,1138.389,1024,224,64.67
xcit_tiny_24_p16_384_dist,885.13,1156.874,1024,384,12.12
twins_svt_large,884.59,1157.58,1024,224,99.27
nest_small,880.02,581.79,512,224,38.35
hrnet_w48,878.91,1165.063,1024,224,77.47
cait_s24_224,871.81,1174.556,1024,224,46.92
jx_nest_small,870.35,588.255,512,224,38.35
poolformer_m36,860.43,1190.082,1024,224,56.17
regnety_040,849.33,602.817,512,288,20.65
regnetv_040,849.16,602.939,512,288,20.64
nfnet_f0,843.53,1213.933,1024,256,71.49
resnetv2_50d_evos,834.99,1226.346,1024,288,25.59
swin_s3_small_224,821.03,623.593,512,224,49.74
repvgg_b2g4,812.87,1259.724,1024,224,61.76
xcit_medium_24_p16_224_dist,811.19,1262.323,1024,224,84.4
xcit_medium_24_p16_224,810.62,1263.211,1024,224,84.4
dpn131,808.5,1266.522,1024,224,79.25
swin_base_patch4_window7_224,797.2,1284.488,1024,224,87.77
hrnet_w44,791.54,1293.66,1024,224,67.06
coat_mini,786.27,1302.337,1024,224,10.34
regnetx_120,777.95,658.124,512,224,46.11
gmlp_b16_224,772.78,1325.073,1024,224,73.08
dm_nfnet_f0,761.49,1344.713,1024,256,71.49
regnety_120,754.35,678.713,512,224,51.82
densenet264,750.52,1364.368,1024,224,72.69
mixnet_xl,748.42,684.091,512,224,11.9
crossvit_base_240,747.2,685.212,512,240,105.03
xcit_small_12_p16_384_dist,744.87,1374.713,1024,384,26.25
resnetv2_50d_gn,742.22,689.806,512,288,25.57
xception71,741.19,690.762,512,299,42.34
hrnet_w64,723.1,1416.105,1024,224,128.06
vit_large_r50_s32_224,721.71,1418.838,1024,224,328.99
regnety_040s_gn,714.09,716.982,512,224,20.65
seresnet200d,712.88,1436.411,1024,256,71.86
resnet152d,711.54,1439.114,1024,320,60.21
ecaresnet200d,707.4,1447.533,1024,256,64.69
dpn107,701.19,1460.351,1024,224,86.92
cspresnext50_iabn,693.03,1477.558,1024,256,20.57
senet154,692.07,1479.599,1024,224,115.09
legacy_senet154,691.5,1480.826,1024,224,115.09
gluon_senet154,689.56,1484.981,1024,224,115.09
convit_base,687.54,1489.363,1024,224,86.54
vit_small_patch16_384,683.58,748.981,512,384,22.2
volo_d2_224,677.6,1511.204,1024,224,58.68
tnt_b_patch16_224,675.63,1515.603,1024,224,65.41
xcit_nano_12_p8_384_dist,672.93,1521.688,1024,384,3.05
resnext101_64x4d,667.5,767.03,512,288,83.46
xcit_tiny_24_p8_224,665.57,1538.51,1024,224,12.11
swin_s3_base_224,665.44,1538.819,1024,224,71.13
xcit_tiny_24_p8_224_dist,665.24,1539.279,1024,224,12.11
swin_v2_cr_base_224,655.51,1562.118,1024,224,87.88
poolformer_m48,648.5,1579.004,1024,224,73.47
repvgg_b3g4,644.06,1589.905,1024,224,83.83
tresnet_l,638.84,1602.889,1024,224,55.99
resnetrs152,628.07,1630.372,1024,320,86.62
nest_base,626.36,817.402,512,224,67.72
seresnet152d,626.17,1635.31,1024,320,66.84
regnetx_160,623.38,821.322,512,224,54.28
jx_nest_base,620.6,824.996,512,224,67.72
regnetz_e8,607.41,842.906,512,320,57.7
ese_vovnet99b_iabn,606.83,1687.442,1024,224,63.2
regnetz_c16_evos,598.38,855.63,512,320,13.49
vit_base_r50_s16_224,595.98,1718.162,1024,224,98.66
resnest101e,584.85,875.416,512,256,48.28
vit_small_r26_s32_384,582.99,878.207,512,384,36.47
convmixer_768_32,574.69,1781.818,1024,224,21.11
seresnext101_32x8d,574.1,891.822,512,288,93.57
cspdarknet53_iabn,571.87,1790.614,1024,256,27.64
xcit_small_12_p8_224,568.57,1800.991,1024,224,26.21
xcit_small_12_p8_224_dist,567.71,1803.708,1024,224,26.21
seresnet269d,558.78,1832.551,1024,256,113.67
convnext_large_in22ft1k,544.26,940.706,512,224,197.77
convnext_large,544.24,940.754,512,224,197.77
regnety_080,536.38,954.53,512,288,39.18
resnet200d,524.48,1952.377,1024,320,64.69
mixnet_xxl,489.07,785.144,384,224,23.96
halonet_h1,488.76,523.759,256,256,8.1
eca_nfnet_l1,486.84,2103.345,1024,320,41.41
mixer_l16_224,485.71,2108.232,1024,224,208.2
efficientnetv2_m,483.16,2119.353,1024,416,54.14
vit_large_patch32_384,479.45,2135.754,1024,384,306.63
volo_d3_224,473.36,2163.252,1024,224,86.33
tresnet_xl,471.89,2169.959,1024,224,78.44
regnety_064,471.86,1085.046,512,288,30.58
regnetv_064,468.27,1093.376,512,288,30.58
efficientnet_b5,467.72,547.327,256,456,30.39
xcit_large_24_p16_224_dist,464.03,2206.748,1024,224,189.1
xcit_large_24_p16_224,463.92,2207.253,1024,224,189.1
efficientnet_b3_gn,459.87,417.496,192,320,11.73
swin_large_patch4_window7_224,457.64,1118.756,512,224,196.53
resnetrs200,456.26,2244.305,1024,320,93.21
tf_efficientnet_b5_ap,447.29,572.321,256,456,30.39
tf_efficientnet_b5,447.21,572.425,256,456,30.39
tf_efficientnet_b5_ns,446.89,572.83,256,456,30.39
xcit_tiny_12_p8_384_dist,429.76,2382.721,1024,384,6.71
regnety_320,415.34,1232.707,512,224,145.05
regnety_160,414.45,926.515,384,288,83.59
xcit_small_24_p16_384_dist,397.04,2579.039,1024,384,47.67
efficientnetv2_rw_m,393.18,1302.2,512,416,53.24
regnetz_d8_evos,387.65,1320.76,512,320,23.46
swin_v2_cr_large_224,386.59,1324.379,512,224,196.68
efficientnet_b3_g8_gn,385.43,498.136,192,320,14.25
swin_v2_cr_tiny_384,366.25,698.968,256,384,28.33
convnext_xlarge_in22ft1k,359.4,1424.579,512,224,350.2
tf_efficientnetv2_m,359.31,1424.935,512,480,54.14
tf_efficientnetv2_m_in21ft1k,358.34,1428.804,512,480,54.14
vit_large_patch16_224,354.58,2887.929,1024,224,304.33
crossvit_15_dagger_408,354.15,722.849,256,408,28.5
ssl_resnext101_32x16d,347.17,1474.787,512,224,194.03
swsl_resnext101_32x16d,346.95,1475.72,512,224,194.03
vit_base_patch16_18x2_224,346.41,2956.033,1024,224,256.73
ig_resnext101_32x16d,345.97,1479.87,512,224,194.03
convnext_base_384_in22ft1k,335.81,1143.488,384,384,88.59
beit_large_patch16_224,328.45,3117.61,1024,224,304.43
tresnet_m_448,321.84,3181.675,1024,448,31.39
volo_d1_384,310.06,1651.255,512,384,26.78
volo_d4_224,303.03,3379.23,1024,224,192.96
pnasnet5large,299.35,1282.762,384,331,86.06
xcit_small_24_p8_224,297.54,3441.571,1024,224,47.63
xcit_small_24_p8_224_dist,297.52,3441.791,1024,224,47.63
ecaresnet269d,293.49,3489.006,1024,352,102.09
nasnetalarge,291.8,1315.945,384,331,88.75
resnetrs270,287.51,3561.559,1024,352,129.86
nfnet_f1,286.44,3574.909,1024,320,132.63
resnetv2_152x2_bit_teacher,280.03,1828.366,512,224,236.34
xcit_medium_24_p16_384_dist,278.67,1837.25,512,384,84.4
vit_base_patch16_384,277.57,1383.439,384,384,86.86
deit_base_patch16_384,277.28,1384.877,384,384,86.86
deit_base_distilled_patch16_384,273.16,1405.736,384,384,87.63
cait_xxs24_384,268.69,3811.003,1024,384,12.03
efficientnet_b6,268.02,477.57,128,528,43.04
regnetx_320,262.23,1464.357,384,224,107.81
dm_nfnet_f1,261.81,3911.156,1024,320,132.63
vit_large_patch14_224,261.02,3923.008,1024,224,304.2
crossvit_18_dagger_408,259.11,740.985,192,408,44.61
tf_efficientnet_b6_ns,257.39,497.28,128,528,43.04
tf_efficientnet_b6_ap,257.15,497.757,128,528,43.04
tf_efficientnet_b6,257.08,497.876,128,528,43.04
beit_base_patch16_384,239.23,1605.166,384,384,86.74
vit_large_r50_s32_384,236.31,1624.94,384,384,329.09
eca_nfnet_l2,232.83,2198.978,512,384,56.72
xcit_tiny_24_p8_384_dist,226.12,4528.604,1024,384,12.11
swin_v2_cr_small_384,224.11,1142.266,256,384,49.7
swin_base_patch4_window12_384,212.75,902.462,192,384,87.9
resmlp_big_24_distilled_224,209.1,4897.073,1024,224,129.14
resmlp_big_24_224,208.19,4918.549,1024,224,129.14
resmlp_big_24_224_in22ft1k,208.06,4921.598,1024,224,129.14
xcit_medium_24_p8_224,208.01,4922.91,1024,224,84.32
xcit_medium_24_p8_224_dist,207.93,4924.607,1024,224,84.32
resnest200e,201.92,2535.671,512,320,70.2
volo_d5_224,199.55,5131.435,1024,224,295.46
xcit_small_12_p8_384_dist,193.71,2643.156,512,384,26.21
resnetrs350,188.78,2712.164,512,384,163.96
cait_xs24_384,188.52,2715.867,512,384,26.67
efficientnetv2_l,186.87,2739.852,512,480,118.52
convnext_large_384_in22ft1k,186.32,1373.958,256,384,197.77
tf_efficientnetv2_l,185.75,2756.36,512,480,118.52
tf_efficientnetv2_l_in21ft1k,185.69,2757.265,512,480,118.52
vit_base_patch8_224,182.98,1399.048,256,224,86.58
cait_xxs36_384,179.96,5689.985,1024,384,17.37
volo_d2_384,173.85,1472.545,256,384,58.87
vit_base_r50_s16_384,171.75,2235.786,384,384,98.95
vit_base_resnet50_384,171.74,2235.946,384,384,98.95
swin_v2_cr_huge_224,170.46,2252.707,384,224,657.83
densenet264d_iabn,163.84,6249.837,1024,224,72.74
efficientnet_b7,161.28,595.212,96,600,66.35
nfnet_f2,161.05,6358.083,1024,352,193.78
swin_v2_cr_base_384,160.58,1195.67,192,384,87.88
xcit_large_24_p16_384_dist,158.84,3223.264,512,384,189.1
tf_efficientnet_b7,155.96,615.536,96,600,66.35
tf_efficientnet_b7_ap,155.94,615.594,96,600,66.35
tf_efficientnet_b7_ns,155.94,615.59,96,600,66.35
tresnet_l_448,152.84,6699.593,1024,448,55.99
dm_nfnet_f2,147.62,3468.342,512,352,193.78
cait_s24_384,145.6,3516.436,512,384,47.06
efficientnetv2_xl,141.55,2712.868,384,512,208.12
vit_huge_patch14_224,141.3,7246.972,1024,224,632.05
tf_efficientnetv2_xl_in21ft1k,141.27,2718.106,384,512,208.12
resnetrs420,134.22,3814.641,512,416,191.89
swin_large_patch4_window12_384,125.78,1017.629,128,384,196.74
eca_nfnet_l3,122.95,4164.413,512,448,72.04
convnext_xlarge_384_in22ft1k,122.83,1563.128,192,384,350.2
xcit_large_24_p8_224,118.58,4317.779,512,224,188.93
xcit_large_24_p8_224_dist,118.55,4318.826,512,224,188.93
tresnet_xl_448,113.53,9019.968,1024,448,78.44
efficientnet_cc_b0_8e,109.15,9.151,1,224,24.01
efficientnet_cc_b0_4e,106.25,9.403,1,224,13.31
tf_efficientnet_cc_b0_4e,105.28,9.489,1,224,13.31
tf_efficientnet_cc_b0_8e,105.02,9.512,1,224,24.01
xcit_small_24_p8_384_dist,101.44,5047.074,512,384,47.63
efficientnet_b8,98.72,972.467,96,672,87.41
swin_v2_cr_large_384,98.1,1304.769,128,384,196.68
cait_s36_384,97.37,5258.401,512,384,68.37
resnetv2_152x2_bit_teacher_384,96.99,2639.495,256,384,236.34
tf_efficientnet_b8,96.21,997.82,96,672,87.41
tf_efficientnet_b8_ap,96.12,998.706,96,672,87.41
resnest269e,94.82,4049.739,384,416,110.93
vit_large_patch16_384,94.39,2712.048,256,384,304.72
resnetv2_50x3_bitm,92.92,1377.53,128,448,217.32
vit_giant_patch14_224,92.83,5515.228,512,224,1012.61
nfnet_f3,83.35,6142.681,512,416,254.92
convmixer_1024_20_ks9_p14,82.56,12403.804,1024,224,24.38
beit_large_patch16_384,82.25,3112.33,256,384,305.0
efficientnet_cc_b1_8e,77.14,12.953,1,240,39.72
dm_nfnet_f3,76.92,6655.946,512,416,254.92
volo_d3_448,75.82,2532.146,192,448,86.63
tf_efficientnet_cc_b1_8e,73.25,13.64,1,240,39.72
xcit_medium_24_p8_384_dist,70.98,3606.847,256,384,84.32
resnetv2_152x2_bitm,70.34,2729.533,192,448,236.34
resnetv2_101x3_bitm,57.82,2213.862,128,448,387.93
vit_gigantic_patch14_224,56.06,9133.289,512,224,1844.44
volo_d4_448,55.8,3441.115,192,448,193.41
swin_v2_cr_giant_224,49.27,2597.97,128,224,2598.76
nfnet_f4,44.93,8547.007,384,512,316.07
swin_v2_cr_huge_384,43.72,1463.762,64,384,657.94
dm_nfnet_f4,41.24,9312.061,384,512,316.07
xcit_large_24_p8_384_dist,40.33,4760.775,192,384,188.93
volo_d5_448,38.49,3325.731,128,448,295.91
beit_large_patch16_512,33.13,2897.67,96,512,305.67
nfnet_f5,33.1,11599.778,384,544,377.21
cait_m36_384,31.8,8050.244,256,384,271.22
dm_nfnet_f5,31.5,8127.503,256,544,377.21
volo_d5_512,26.9,4758.532,128,512,296.09
nfnet_f6,25.41,10073.116,256,576,438.36
dm_nfnet_f6,23.41,10936.755,256,576,438.36
nfnet_f7,20.63,9307.125,192,608,499.5
resnetv2_152x4_bitm,18.31,3496.111,64,480,936.53
swin_v2_cr_giant_384,13.76,2325.078,32,384,2598.76
cait_m48_448,13.51,9473.095,128,448,356.46
convmixer_1536_20,13.51,75823.541,1024,224,51.63
1 model infer_samples_per_sec infer_step_time infer_batch_size infer_img_size param_count
2 tinynet_e 68298.73 14.982 1024 106 2.04
3 mobilenetv3_small_050 48773.32 20.985 1024 224 1.59
4 lcnet_035 47045.94 21.755 1024 224 1.64
5 lcnet_050 41541.83 24.639 1024 224 1.88
6 mobilenetv3_small_075 37803.23 27.076 1024 224 2.04
7 mobilenetv3_small_100 34839.31 29.381 1024 224 2.54
8 tinynet_d 34615.54 29.571 1024 152 2.34
9 tf_mobilenetv3_small_minimal_100 31097.5 32.918 1024 224 2.04
10 tf_mobilenetv3_small_075 30498.6 33.564 1024 224 2.04
11 tf_mobilenetv3_small_100 28466.28 35.962 1024 224 2.54
12 lcnet_075 26999.4 37.915 1024 224 2.36
13 mnasnet_small 23228.74 44.072 1024 224 2.03
14 lcnet_100 22774.77 44.951 1024 224 2.95
15 levit_128s 21485.8 47.648 1024 224 7.78
16 mobilenetv2_035 20032.08 51.106 1024 224 1.68
17 ghostnet_050 18639.82 54.925 1024 224 2.59
18 mnasnet_050 18244.9 56.115 1024 224 2.22
19 regnetx_002 17821.98 57.446 1024 224 2.68
20 tinynet_c 17586.87 58.214 1024 184 2.46
21 regnety_002 16673.08 61.405 1024 224 3.16
22 mobilenetv2_050 16415.14 62.371 1024 224 1.97
23 semnasnet_050 16295.23 62.83 1024 224 2.08
24 lcnet_150 15040.68 68.071 1024 224 4.5
25 levit_128 14657.83 69.849 1024 224 9.21
26 regnetx_004 14440.03 70.903 1024 224 5.16
27 gernet_s 14051.59 72.863 1024 224 8.17
28 mobilenetv3_large_075 13658.47 74.961 1024 224 3.99
29 levit_192 12892.86 79.412 1024 224 10.95
30 mnasnet_075 12457.54 82.188 1024 224 3.17
31 mobilenetv3_rw 12442.0 82.291 1024 224 5.48
32 hardcorenas_a 12441.72 82.293 1024 224 5.26
33 mixer_s32_224 12325.03 83.072 1024 224 19.1
34 mobilenetv3_large_100 12253.83 83.554 1024 224 5.48
35 mobilenetv3_large_100_miil 12253.15 83.559 1024 224 5.48
36 vit_small_patch32_224 12098.59 84.625 1024 224 22.88
37 tf_mobilenetv3_large_075 11757.16 87.085 1024 224 3.99
38 tinynet_b 11714.84 87.399 1024 188 3.73
39 hardcorenas_b 11307.89 90.545 1024 224 5.18
40 hardcorenas_c 11295.65 90.643 1024 224 5.52
41 ese_vovnet19b_slim_dw 11295.18 90.646 1024 224 1.9
42 tf_mobilenetv3_large_minimal_100 11279.9 90.77 1024 224 3.92
43 mnasnet_b1 10903.65 93.902 1024 224 4.38
44 mnasnet_100 10903.28 93.906 1024 224 4.38
45 swsl_resnet18 10835.46 94.49 1024 224 11.69
46 ssl_resnet18 10829.31 94.547 1024 224 11.69
47 resnet18 10826.05 94.576 1024 224 11.69
48 gluon_resnet18_v1b 10791.4 94.879 1024 224 11.69
49 tf_mobilenetv3_large_100 10638.58 96.242 1024 224 5.48
50 hardcorenas_d 10551.44 97.037 1024 224 7.5
51 semnasnet_075 10519.79 97.329 1024 224 2.91
52 ghostnet_100 10434.77 98.122 1024 224 5.18
53 mobilenetv2_075 10372.86 98.708 1024 224 2.64
54 seresnet18 10183.7 100.541 1024 224 11.78
55 regnety_006 9982.58 102.567 1024 224 6.06
56 vit_tiny_r_s16_p8_224 9895.77 103.465 1024 224 6.34
57 spnasnet_100 9875.93 103.675 1024 224 4.42
58 legacy_seresnet18 9845.25 103.999 1024 224 11.78
59 regnety_004 9552.58 107.183 1024 224 4.34
60 levit_256 9434.24 108.53 1024 224 18.89
61 tinynet_a 9412.38 108.782 1024 192 6.19
62 hardcorenas_f 9390.96 109.029 1024 224 8.2
63 semnasnet_100 9334.36 109.69 1024 224 3.89
64 mnasnet_a1 9318.68 109.875 1024 224 3.89
65 mobilenetv2_100 9260.72 110.564 1024 224 3.5
66 hardcorenas_e 9255.53 110.624 1024 224 8.07
67 tf_efficientnetv2_b0 9250.71 110.683 1024 224 7.14
68 fbnetc_100 9032.97 113.35 1024 224 5.57
69 efficientnet_lite0 8999.14 113.778 1024 224 4.65
70 resnet18d 8913.81 114.867 1024 224 11.71
71 ese_vovnet19b_slim 8715.26 117.484 1024 224 3.17
72 regnetx_008 8458.52 121.05 1024 224 7.26
73 levit_256d 8024.27 127.602 1024 224 26.21
74 regnetx_006 7937.85 128.991 1024 224 6.2
75 regnety_008 7871.11 130.085 1024 224 6.26
76 tf_efficientnet_lite0 7813.92 131.036 1024 224 4.65
77 efficientnet_b0 7681.79 133.291 1024 224 5.29
78 ghostnet_130 7655.04 133.756 1024 224 7.36
79 mnasnet_140 7500.9 136.506 1024 224 7.12
80 xcit_nano_12_p16_224_dist 7406.15 138.252 1024 224 3.05
81 xcit_nano_12_p16_224 7390.69 138.541 1024 224 3.05
82 rexnetr_100 7266.82 140.903 1024 224 4.88
83 mobilenetv2_110d 7027.38 145.704 1024 224 4.52
84 tf_efficientnet_b0_ap 6815.39 150.235 1024 224 5.29
85 tf_efficientnet_b0 6815.06 150.243 1024 224 5.29
86 tf_efficientnet_b0_ns 6813.82 150.27 1024 224 5.29
87 regnetz_005 6657.81 153.793 1024 224 7.12
88 hrnet_w18_small 6626.19 154.526 1024 224 13.19
89 gernet_m 6452.0 158.699 1024 224 21.14
90 semnasnet_140 6407.4 159.804 1024 224 6.11
91 tv_resnet34 6289.18 162.807 1024 224 21.8
92 gluon_resnet34_v1b 6283.02 162.967 1024 224 21.8
93 resnet34 6262.0 163.515 1024 224 21.8
94 vit_tiny_patch16_224 6224.71 164.493 1024 224 5.72
95 mobilenetv2_140 6223.01 164.539 1024 224 6.11
96 deit_tiny_patch16_224 6218.5 164.657 1024 224 5.72
97 ese_vovnet19b_dw 6178.2 165.733 1024 224 6.54
98 deit_tiny_distilled_patch16_224 6117.9 167.365 1024 224 5.91
99 efficientnet_b1_pruned 6023.92 169.977 1024 240 6.33
100 efficientnet_lite1 5983.27 171.132 1024 240 5.42
101 tf_efficientnetv2_b1 5921.06 172.93 1024 240 8.14
102 selecsls42 5908.85 173.287 1024 224 30.35
103 fbnetv3_b 5903.05 173.458 1024 256 8.6
104 seresnet34 5898.43 173.594 1024 224 21.96
105 selecsls42b 5885.09 173.988 1024 224 32.46
106 rexnet_100 5871.63 174.387 1024 224 4.8
107 pit_ti_distilled_224 5837.73 175.397 1024 224 5.1
108 pit_ti_224 5807.14 176.321 1024 224 4.85
109 efficientnet_es 5711.75 179.268 1024 224 5.44
110 efficientnet_es_pruned 5710.76 179.298 1024 224 5.44
111 resnet26 5694.28 179.817 1024 224 16.0
112 legacy_seresnet34 5670.37 180.577 1024 224 21.96
113 levit_384 5643.3 181.443 1024 224 39.13
114 resnet34d 5571.88 183.768 1024 224 21.82
115 resnetblur18 5507.37 185.919 1024 224 11.69
116 rexnetr_130 5484.64 186.691 1024 224 7.61
117 nf_regnet_b0 5429.0 188.605 1024 256 8.76
118 tf_efficientnet_es 5424.57 188.76 1024 224 5.44
119 tf_efficientnet_lite1 5360.34 191.021 1024 240 5.42
120 skresnet18 5350.54 191.371 1024 224 11.96
121 selecsls60 5263.66 194.53 1024 224 30.67
122 selecsls60b 5251.8 194.969 1024 224 32.77
123 mobilenetv2_120d 5160.96 198.401 1024 224 5.83
124 mobilevit_xxs 5125.56 199.771 1024 256 1.27
125 repvgg_b0 5049.08 202.797 1024 224 15.82
126 resnet26d 4891.07 209.349 1024 224 16.01
127 fbnetv3_d 4812.34 212.774 1024 256 10.31
128 rexnetr_150 4791.0 213.722 1024 224 9.78
129 xcit_tiny_12_p16_224_dist 4778.77 214.269 1024 224 6.72
130 xcit_tiny_12_p16_224 4774.3 214.469 1024 224 6.72
131 visformer_tiny 4714.23 217.203 1024 224 10.32
132 nf_resnet26 4639.54 220.7 1024 224 16.0
133 efficientnet_lite2 4604.04 222.402 1024 260 6.09
134 pit_xs_224 4582.73 223.434 1024 224 10.62
135 pit_xs_distilled_224 4539.81 225.546 1024 224 11.0
136 resmlp_12_distilled_224 4519.92 226.541 1024 224 15.35
137 resmlp_12_224 4518.97 226.589 1024 224 15.35
138 tf_efficientnetv2_b2 4403.08 232.553 1024 260 10.1
139 vit_base_patch32_224_sam 4330.12 236.472 1024 224 88.22
140 vit_base_patch32_224 4316.0 237.246 1024 224 88.22
141 mixer_b32_224 4294.72 238.421 1024 224 60.29
142 tf_efficientnet_b1_ns 4267.56 239.936 1024 240 7.79
143 tf_efficientnet_b1_ap 4266.36 240.004 1024 240 7.79
144 tf_efficientnet_b1 4266.12 240.017 1024 240 7.79
145 efficientnet_b0_g16_evos 4260.91 240.312 1024 224 8.11
146 legacy_seresnext26_32x4d 4210.62 243.183 1024 224 16.79
147 mixer_s16_224 4210.38 243.197 1024 224 18.53
148 gernet_l 4176.68 245.159 1024 256 31.08
149 tf_efficientnet_lite2 4154.51 246.467 1024 260 6.09
150 gmixer_12_224 4127.0 248.109 1024 224 12.7
151 efficientnet_b1 4101.97 249.625 1024 256 7.79
152 resnext26ts 4091.38 250.27 1024 256 10.3
153 rexnet_130 4013.83 255.106 1024 224 7.56
154 seresnext26ts 3966.87 258.123 1024 256 10.39
155 nf_seresnet26 3954.94 258.905 1024 224 17.4
156 eca_resnext26ts 3953.54 258.996 1024 256 10.3
157 nf_ecaresnet26 3938.91 259.956 1024 224 16.0
158 repvgg_a2 3868.66 264.68 1024 224 28.21
159 gmlp_ti16_224 3865.39 264.903 1024 224 5.87
160 crossvit_tiny_240 3854.54 265.648 1024 240 7.01
161 efficientnet_b2_pruned 3821.39 267.953 1024 260 8.31
162 vit_small_patch32_384 3802.4 269.289 1024 384 22.92
163 resnet26t 3789.73 270.19 1024 256 16.01
164 regnetx_016 3776.49 271.139 1024 224 9.19
165 rexnet_150 3774.39 271.29 1024 224 9.73
166 seresnext26t_32x4d 3769.71 271.627 1024 224 16.81
167 seresnext26tn_32x4d 3769.68 271.629 1024 224 16.81
168 gcresnext26ts 3763.59 272.069 1024 256 10.48
169 seresnext26d_32x4d 3760.94 272.26 1024 224 16.81
170 ecaresnext50t_32x4d 3751.71 272.931 1024 224 15.41
171 ecaresnext26t_32x4d 3745.62 273.373 1024 224 15.41
172 ecaresnet50d_pruned 3714.28 275.68 1024 224 19.94
173 resnetv2_50 3703.17 276.505 1024 224 25.55
174 eca_botnext26ts_256 3685.99 277.797 1024 256 10.59
175 crossvit_9_240 3640.93 281.235 1024 240 8.55
176 ecaresnetlight 3588.5 285.344 1024 224 30.16
177 eca_halonext26ts 3573.18 286.568 1024 256 10.76
178 crossvit_9_dagger_240 3562.28 287.444 1024 240 8.78
179 poolformer_s12 3555.09 288.026 1024 224 11.92
180 swsl_resnet50 3536.6 289.53 1024 224 25.56
181 gluon_resnet50_v1b 3534.52 289.702 1024 224 25.56
182 tv_resnet50 3534.18 289.73 1024 224 25.56
183 resnet50 3528.73 290.177 1024 224 25.56
184 ssl_resnet50 3522.22 290.713 1024 224 25.56
185 rexnetr_200 3521.98 145.362 512 224 16.52
186 dla46_c 3494.33 293.033 1024 224 1.3
187 botnet26t_256 3447.34 297.026 1024 256 12.49
188 efficientnet_em 3434.61 298.129 1024 240 6.9
189 dpn68 3423.83 299.067 1024 224 12.61
190 resnet32ts 3414.56 299.879 1024 256 17.96
191 dpn68b 3412.63 300.049 1024 224 12.61
192 regnety_016 3408.85 300.382 1024 224 11.2
193 halonet26t 3379.19 303.017 1024 256 12.48
194 resnetv2_50t 3374.73 303.416 1024 224 25.57
195 resnetv2_50d 3370.34 303.812 1024 224 25.57
196 resnet33ts 3369.92 303.852 1024 256 19.68
197 nf_regnet_b1 3357.92 304.938 1024 288 10.22
198 gluon_resnet50_v1c 3339.61 306.611 1024 224 25.58
199 nf_regnet_b2 3329.81 307.512 1024 272 14.31
200 tf_efficientnet_b2_ap 3315.4 308.848 1024 260 9.11
201 tf_efficientnet_b2_ns 3314.91 308.894 1024 260 9.11
202 tf_efficientnet_em 3313.67 309.011 1024 240 6.9
203 tf_efficientnet_b2 3313.08 309.063 1024 260 9.11
204 seresnet33ts 3285.4 311.671 1024 256 19.78
205 eca_resnet33ts 3264.82 313.634 1024 256 19.68
206 resnet50t 3209.81 319.009 1024 224 25.57
207 bat_resnext26ts 3208.41 319.147 1024 256 10.73
208 legacy_seresnet50 3208.39 319.15 1024 224 28.09
209 gluon_resnet50_v1d 3207.43 319.246 1024 224 25.58
210 convnext_nano_hnf 3203.44 319.644 1024 224 15.59
211 resnet50d 3201.53 319.835 1024 224 25.58
212 convit_tiny 3182.1 321.788 1024 224 5.71
213 gcresnet33ts 3115.24 328.694 1024 256 19.88
214 vit_small_resnet26d_224 3114.54 328.764 1024 224 63.61
215 efficientnet_b2 3113.3 328.898 1024 288 9.11
216 efficientnet_b2a 3112.75 328.957 1024 288 9.11
217 efficientnet_b3_pruned 3098.33 330.489 1024 300 9.86
218 mobilevit_xs 3098.23 165.245 512 256 2.32
219 vovnet39a 3094.91 330.85 1024 224 22.6
220 seresnet50 3084.99 331.918 1024 224 28.09
221 haloregnetz_b 3050.82 335.635 1024 224 11.68
222 skresnet34 3016.36 339.47 1024 224 22.28
223 ese_vovnet39b 2991.04 342.343 1024 224 24.57
224 eca_vovnet39b 2984.95 343.042 1024 224 22.6
225 cspresnext50 2981.83 343.401 1024 224 20.57
226 selecsls84 2979.47 343.673 1024 224 50.95
227 res2net50_48w_2s 2961.27 345.783 1024 224 25.29
228 ssl_resnext50_32x4d 2883.39 355.125 1024 224 25.03
229 resnext50_32x4d 2879.89 355.557 1024 224 25.03
230 swsl_resnext50_32x4d 2879.83 355.563 1024 224 25.03
231 tv_resnext50_32x4d 2876.25 356.006 1024 224 25.03
232 gluon_resnext50_32x4d 2870.17 356.762 1024 224 25.03
233 resnetaa50d 2869.21 356.878 1024 224 25.58
234 tv_densenet121 2861.74 357.812 1024 224 7.98
235 densenet121 2859.4 358.103 1024 224 7.98
236 mixnet_s 2849.57 359.34 1024 224 4.13
237 seresnet50t 2844.85 359.936 1024 224 28.1
238 resnetrs50 2844.33 360.0 1024 224 35.69
239 deit_small_patch16_224 2839.86 360.568 1024 224 22.05
240 vit_small_patch16_224 2838.21 360.777 1024 224 22.05
241 ecaresnet101d_pruned 2833.47 361.381 1024 224 24.88
242 coat_lite_tiny 2832.3 361.531 1024 224 5.72
243 gluon_resnet50_v1s 2824.57 362.521 1024 224 25.68
244 pit_s_224 2821.07 362.969 1024 224 23.46
245 ecaresnet50d 2815.88 363.64 1024 224 25.58
246 rexnet_200 2812.74 182.018 512 224 16.37
247 pit_s_distilled_224 2802.25 365.406 1024 224 24.04
248 deit_small_distilled_patch16_224 2791.58 366.805 1024 224 22.44
249 dla34 2790.34 366.966 1024 224 15.74
250 dla46x_c 2773.06 369.253 1024 224 1.07
251 cspresnet50 2754.0 371.811 1024 256 21.62
252 hrnet_w18_small_v2 2736.24 374.217 1024 224 15.6
253 densenet121d 2731.76 374.837 1024 224 8.0
254 tf_mixnet_s 2728.68 375.26 1024 224 4.13
255 efficientnet_lite3 2718.45 188.332 512 300 8.2
256 regnetz_b16 2715.55 377.076 1024 288 9.72
257 dla60x_c 2712.17 377.543 1024 224 1.32
258 vit_tiny_r_s16_p8_384 2700.75 189.562 512 384 6.36
259 coat_lite_mini 2663.5 384.444 1024 224 11.01
260 resnext50d_32x4d 2662.22 384.629 1024 224 25.05
261 resnetblur50 2619.08 390.962 1024 224 25.56
262 cspresnet50d 2596.32 394.393 1024 256 21.64
263 vgg11_bn 2593.2 197.428 512 224 132.87
264 vit_base2_patch32_256 2576.99 397.35 1024 256 119.46
265 seresnetaa50d 2576.43 397.436 1024 224 28.11
266 cspresnet50w 2574.64 397.712 1024 256 28.12
267 seresnext50_32x4d 2574.54 397.729 1024 224 27.56
268 lambda_resnet26rpt_256 2573.59 397.876 1024 256 10.99
269 legacy_seresnext50_32x4d 2571.71 398.166 1024 224 27.56
270 xcit_nano_12_p16_384_dist 2569.25 398.547 1024 384 3.05
271 gluon_seresnext50_32x4d 2564.07 399.352 1024 224 27.56
272 xcit_tiny_24_p16_224_dist 2557.0 400.456 1024 224 12.12
273 xcit_tiny_24_p16_224 2556.28 400.571 1024 224 12.12
274 efficientnetv2_rw_t 2545.32 402.294 1024 288 13.65
275 vovnet57a 2538.22 403.418 1024 224 36.64
276 fbnetv3_g 2530.36 404.673 1024 288 16.62
277 gcresnet50t 2514.25 407.265 1024 256 25.9
278 res2net50_26w_4s 2505.47 408.693 1024 224 25.7
279 tf_efficientnetv2_b3 2496.85 410.104 1024 300 14.36
280 twins_svt_small 2488.33 411.508 1024 224 24.06
281 vit_base_resnet26d_224 2472.64 414.118 1024 224 101.4
282 ese_vovnet57b 2446.54 418.537 1024 224 38.61
283 densenetblur121d 2445.52 418.711 1024 224 8.0
284 tf_efficientnet_lite3 2442.63 209.598 512 300 8.2
285 resnetblur50d 2422.6 422.672 1024 224 25.58
286 mobilevit_s 2415.06 211.991 512 256 5.58
287 resnest14d 2409.35 424.998 1024 224 10.61
288 tf_inception_v3 2400.27 426.605 1024 299 23.83
289 gluon_inception_v3 2398.26 426.963 1024 299 23.83
290 nf_seresnet50 2397.62 427.078 1024 224 28.09
291 inception_v3 2397.12 427.166 1024 299 23.83
292 nf_ecaresnet50 2388.81 428.654 1024 224 25.56
293 adv_inception_v3 2388.59 428.689 1024 299 23.83
294 densenet169 2362.23 433.477 1024 224 14.15
295 sehalonet33ts 2337.63 219.014 512 256 13.69
296 resmlp_24_224 2312.09 442.876 1024 224 30.02
297 gc_efficientnetv2_rw_t 2311.11 443.065 1024 288 13.68
298 resmlp_24_distilled_224 2308.78 443.512 1024 224 30.02
299 convnext_tiny 2275.45 450.007 1024 224 28.59
300 gcresnext50ts 2263.71 452.341 1024 256 15.67
301 res2net50_14w_8s 2252.88 454.515 1024 224 25.06
302 semobilevit_s 2250.59 227.485 512 256 5.74
303 darknet53 2248.73 227.672 512 256 41.61
304 resnetv2_101 2235.55 458.038 1024 224 44.54
305 xcit_small_12_p16_224_dist 2216.94 461.885 1024 224 26.25
306 xcit_small_12_p16_224 2212.11 462.891 1024 224 26.25
307 skresnet50 2193.01 466.925 1024 224 25.8
308 resnet101 2170.93 471.673 1024 224 44.55
309 tv_resnet101 2164.75 473.02 1024 224 44.55
310 gluon_resnet101_v1b 2163.02 473.399 1024 224 44.55
311 res2next50 2156.68 474.791 1024 224 24.67
312 ecaresnet26t 2145.15 477.343 1024 320 16.01
313 nf_regnet_b3 2126.07 481.627 1024 320 18.59
314 gmixer_24_224 2110.93 485.081 1024 224 24.72
315 resnetv2_101d 2090.05 489.925 1024 224 44.56
316 gluon_resnet101_v1c 2088.96 490.184 1024 224 44.57
317 dla60 2087.19 490.597 1024 224 22.04
318 convnext_tiny_hnf 2073.34 493.877 1024 224 28.59
319 skresnet50d 2063.75 496.172 1024 224 25.82
320 twins_pcpvt_small 2048.61 499.837 1024 224 24.11
321 gluon_resnet101_v1d 2036.64 502.777 1024 224 44.57
322 vgg13 2019.99 506.92 1024 224 133.05
323 efficientnet_b0_gn 2017.66 253.748 512 224 5.29
324 wide_resnet50_2 2001.07 511.71 1024 224 68.88
325 sebotnet33ts_256 1999.77 192.009 384 256 13.7
326 xcit_nano_12_p8_224 1978.07 517.663 1024 224 3.05
327 xcit_nano_12_p8_224_dist 1977.13 517.91 1024 224 3.05
328 vit_base_resnet50d_224 1950.99 524.848 1024 224 110.97
329 repvgg_b1 1936.11 528.882 1024 224 57.42
330 legacy_seresnet101 1932.53 529.863 1024 224 49.33
331 dla60x 1896.77 539.852 1024 224 17.35
332 resnetaa101d 1893.61 540.751 1024 224 44.57
333 tf_efficientnet_b3_ns 1893.08 270.444 512 300 12.23
334 tf_efficientnet_b3_ap 1892.83 270.481 512 300 12.23
335 tf_efficientnet_b3 1892.52 270.524 512 300 12.23
336 seresnet101 1891.69 541.301 1024 224 49.33
337 gluon_resnet101_v1s 1874.89 546.152 1024 224 44.67
338 resnet51q 1869.52 547.722 1024 288 35.7
339 efficientnet_b3 1853.06 276.288 512 320 12.23
340 efficientnet_b3a 1852.72 276.339 512 320 12.23
341 crossvit_small_240 1844.12 555.265 1024 240 26.86
342 poolformer_s24 1843.54 555.44 1024 224 21.39
343 swin_tiny_patch4_window7_224 1831.44 559.111 1024 224 28.29
344 halonet50ts 1826.61 560.589 1024 256 22.73
345 densenet201 1818.74 563.014 1024 224 20.01
346 gmlp_s16_224 1810.78 565.489 1024 224 19.42
347 ssl_resnext101_32x4d 1796.49 569.986 1024 224 44.18
348 resnext101_32x4d 1794.8 570.526 1024 224 44.18
349 swsl_resnext101_32x4d 1794.2 570.714 1024 224 44.18
350 convnext_tiny_hnfd 1793.87 570.819 1024 224 28.63
351 gluon_resnext101_32x4d 1791.38 571.613 1024 224 44.18
352 cspdarknet53 1782.45 287.233 512 256 27.64
353 nf_resnet101 1778.39 575.79 1024 224 44.55
354 vit_small_r26_s32_224 1778.32 575.808 1024 224 36.43
355 ecaresnet101d 1778.2 575.85 1024 224 44.57
356 regnetz_c16 1772.58 288.833 512 320 13.46
357 res2net50_26w_6s 1761.45 581.325 1024 224 37.05
358 resnest26d 1761.21 581.405 1024 224 17.07
359 dla60_res2net 1720.09 595.302 1024 224 20.85
360 nf_resnet50 1719.27 595.589 1024 288 25.56
361 crossvit_15_240 1700.36 602.213 1024 240 27.53
362 resnetblur101d 1688.41 606.472 1024 224 44.57
363 resnet61q 1677.9 610.274 1024 288 36.85
364 swin_s3_tiny_224 1668.56 613.692 1024 224 28.33
365 xcit_tiny_12_p16_384_dist 1651.99 619.843 1024 384 6.72
366 crossvit_15_dagger_240 1651.71 619.951 1024 240 28.21
367 resnetv2_50d_frn 1650.73 620.316 1024 224 25.59
368 vgg13_bn 1642.03 311.797 512 224 133.05
369 efficientnet_b0_g8_gn 1637.47 312.665 512 224 6.56
370 vgg16 1632.03 627.428 1024 224 138.36
371 cait_xxs24_224 1630.9 627.86 1024 224 11.96
372 repvgg_b1g4 1614.79 634.126 1024 224 39.97
373 regnetx_032 1605.58 637.76 1024 224 15.3
374 seresnext101_32x4d 1600.47 639.797 1024 224 48.96
375 gluon_seresnext101_32x4d 1597.12 641.141 1024 224 48.96
376 legacy_seresnext101_32x4d 1596.46 641.406 1024 224 48.96
377 botnet50ts_256 1594.64 321.062 512 256 22.74
378 res2net101_26w_4s 1591.38 643.454 1024 224 45.21
379 regnetx_040 1586.28 645.521 1024 224 22.12
380 ese_vovnet39b_evos 1584.69 646.169 1024 224 24.58
381 resnetv2_50d_evob 1578.15 648.842 1024 224 25.59
382 resnetv2_50x1_bit_distilled 1562.05 655.535 1024 224 25.55
383 visformer_small 1557.14 657.604 1024 224 40.22
384 xception41p 1555.03 329.24 512 299 26.91
385 resnetv2_152 1552.32 659.642 1024 224 60.19
386 dla102 1552.08 659.747 1024 224 33.27
387 resmlp_36_224 1551.92 659.816 1024 224 44.69
388 dla60_res2next 1551.9 659.821 1024 224 17.03
389 resmlp_36_distilled_224 1551.61 659.949 1024 224 44.69
390 resnest50d_1s4x24d 1548.62 661.22 1024 224 25.68
391 xception 1546.37 331.084 512 299 22.86
392 hrnet_w32 1543.69 663.332 1024 224 41.23
393 halo2botnet50ts_256 1528.74 669.82 1024 256 22.64
394 tv_resnet152 1516.25 675.334 1024 224 60.19
395 coat_lite_small 1515.55 675.647 1024 224 19.84
396 mixer_b16_224 1515.3 675.76 1024 224 59.88
397 mixer_b16_224_miil 1514.28 676.214 1024 224 59.88
398 gluon_resnet152_v1b 1512.22 677.139 1024 224 60.19
399 resnet152 1507.31 679.341 1024 224 60.19
400 efficientnet_el 1505.49 340.076 512 300 10.59
401 efficientnet_el_pruned 1505.01 340.185 512 300 10.59
402 vit_large_patch32_224 1500.0 682.653 1024 224 306.54
403 swin_v2_cr_tiny_224 1497.15 683.946 1024 224 28.33
404 res2net50_26w_8s 1487.1 688.575 1024 224 48.4
405 nf_seresnet101 1486.78 688.723 1024 224 49.33
406 resnetv2_152d 1485.01 689.541 1024 224 60.2
407 nf_ecaresnet101 1477.89 692.868 1024 224 44.55
408 gluon_resnet152_v1c 1474.38 694.516 1024 224 60.21
409 swin_v2_cr_tiny_ns_224 1472.66 695.323 1024 224 28.33
410 tf_efficientnet_el 1464.69 349.551 512 300 10.59
411 vit_tiny_patch16_384 1460.68 701.028 1024 384 5.79
412 vit_base_r26_s32_224 1452.81 704.825 1024 224 101.38
413 gluon_resnet152_v1d 1447.4 707.462 1024 224 60.21
414 hrnet_w18 1432.55 714.792 1024 224 21.3
415 mixnet_m 1431.87 715.134 1024 224 5.01
416 mixer_l32_224 1426.61 717.775 1024 224 206.94
417 dla102x 1416.93 722.674 1024 224 26.31
418 tf_mixnet_m 1413.24 724.561 1024 224 5.01
419 convnext_small 1410.61 725.911 1024 224 50.22
420 twins_pcpvt_base 1405.32 728.645 1024 224 43.83
421 ecaresnet50t 1382.49 740.677 1024 320 25.57
422 nest_tiny 1378.24 371.475 512 224 17.06
423 vit_base_patch32_384 1377.87 743.165 1024 384 88.3
424 convit_small 1368.52 748.238 1024 224 27.78
425 regnety_032 1367.75 748.662 1024 288 19.44
426 vgg19 1367.17 748.977 1024 224 143.67
427 gluon_resnet152_v1s 1363.8 750.829 1024 224 60.32
428 vgg16_bn 1363.24 375.563 512 224 138.37
429 jx_nest_tiny 1354.35 378.027 512 224 17.06
430 ese_vovnet99b 1351.66 757.57 1024 224 63.2
431 xception41 1337.66 382.745 512 299 26.97
432 legacy_seresnet152 1335.99 766.462 1024 224 66.82
433 seresnet152 1317.5 777.213 1024 224 66.82
434 dpn92 1303.11 785.8 1024 224 37.67
435 efficientnet_lite4 1287.19 298.314 384 380 13.01
436 tresnet_m 1283.27 797.947 1024 224 31.39
437 inception_v4 1282.29 798.555 1024 299 42.68
438 densenet161 1276.9 801.927 1024 224 28.68
439 xcit_tiny_12_p8_224_dist 1263.32 810.55 1024 224 6.71
440 xcit_tiny_12_p8_224 1260.86 812.129 1024 224 6.71
441 regnetx_080 1259.62 812.931 1024 224 39.57
442 skresnext50_32x4d 1255.24 815.767 1024 224 27.48
443 vit_small_resnet50d_s16_224 1252.87 817.305 1024 224 57.53
444 twins_svt_base 1249.6 819.445 1024 224 56.07
445 poolformer_s36 1245.02 822.461 1024 224 30.86
446 repvgg_b2 1243.81 823.263 1024 224 89.02
447 volo_d1_224 1232.57 830.769 1024 224 26.63
448 hrnet_w30 1221.32 838.421 1024 224 37.71
449 crossvit_18_240 1205.55 849.387 1024 240 43.27
450 resnest50d 1199.06 853.99 1024 224 27.48
451 tf_efficientnet_lite4 1182.46 324.733 384 380 13.01
452 xcit_small_24_p16_224_dist 1182.35 866.056 1024 224 47.67
453 xcit_small_24_p16_224 1181.92 866.371 1024 224 47.67
454 crossvit_18_dagger_240 1172.17 873.578 1024 240 44.27
455 regnetx_064 1166.56 438.885 512 224 26.21
456 vgg19_bn 1163.98 439.857 512 224 143.68
457 nf_regnet_b4 1158.13 884.17 1024 384 30.21
458 efficientnetv2_s 1149.66 890.683 1024 384 21.46
459 regnetz_d8 1143.01 895.867 1024 320 23.37
460 resnet50_gn 1132.8 903.934 1024 224 25.56
461 dla169 1130.6 905.699 1024 224 53.39
462 wide_resnet101_2 1125.72 909.622 1024 224 126.89
463 swin_small_patch4_window7_224 1123.67 911.288 1024 224 49.61
464 tf_efficientnetv2_s 1123.66 911.292 1024 384 21.46
465 tf_efficientnetv2_s_in21ft1k 1121.7 912.889 1024 384 21.46
466 gluon_resnext101_64x4d 1118.73 915.313 1024 224 83.46
467 mixnet_l 1117.6 458.111 512 224 7.33
468 xception65p 1115.45 458.995 512 299 39.82
469 vit_base_patch16_224_miil 1108.89 923.433 1024 224 86.54
470 nfnet_l0 1101.58 929.561 1024 288 35.07
471 eca_nfnet_l0 1100.75 930.261 1024 288 24.14
472 tf_mixnet_l 1100.74 465.128 512 224 7.33
473 dpn98 1097.38 933.115 1024 224 61.57
474 resnet200 1096.34 934.004 1024 224 64.67
475 resnetrs101 1095.82 934.443 1024 288 63.62
476 cait_xxs36_224 1095.14 935.023 1024 224 17.3
477 efficientnetv2_rw_s 1089.64 939.747 1024 384 23.94
478 vit_base_patch16_224_sam 1073.62 953.767 1024 224 86.57
479 vit_base_patch16_224 1073.46 953.912 1024 224 86.57
480 deit_base_patch16_224 1071.76 955.424 1024 224 86.57
481 inception_resnet_v2 1061.78 964.405 1024 299 55.84
482 ens_adv_inception_resnet_v2 1058.32 967.554 1024 299 55.84
483 deit_base_distilled_patch16_224 1057.89 967.952 1024 224 87.34
484 tnt_s_patch16_224 1053.73 971.773 1024 224 23.76
485 dla102x2 1044.22 490.307 512 224 41.28
486 regnetz_040 1039.59 369.364 384 320 27.12
487 gluon_seresnext101_64x4d 1039.37 985.196 1024 224 88.23
488 regnetz_040h 1034.17 371.302 384 320 28.94
489 resnext101_32x8d 1033.81 990.5 1024 224 88.79
490 ssl_resnext101_32x8d 1033.7 990.597 1024 224 88.79
491 swsl_resnext101_32x8d 1033.38 990.91 1024 224 88.79
492 ig_resnext101_32x8d 1028.15 995.947 1024 224 88.79
493 regnetz_d32 1009.91 1013.934 1024 320 27.58
494 resnest50d_4s2x40d 1008.21 1015.647 1024 224 30.42
495 repvgg_b3 1001.81 1022.132 1024 224 123.09
496 twins_pcpvt_large 999.56 1024.437 1024 224 60.99
497 resnet101d 999.12 1024.886 1024 320 44.57
498 beit_base_patch16_224 993.76 1030.414 1024 224 86.53
499 convnext_base 982.94 1041.763 1024 224 88.59
500 convnext_base_in22ft1k 982.23 1042.511 1024 224 88.59
501 hrnet_w40 980.59 1044.254 1024 224 57.56
502 coat_tiny 977.86 1047.174 1024 224 5.5
503 efficientnet_b4 974.19 394.16 384 384 19.34
504 gluon_xception65 972.42 526.509 512 299 39.92
505 xception65 965.78 530.126 512 299 39.92
506 pit_b_224 946.3 541.042 512 224 73.76
507 regnetz_b16_evos 945.35 541.586 512 288 9.74
508 pit_b_distilled_224 942.16 543.418 512 224 74.79
509 tf_efficientnet_b4 925.87 414.732 384 380 19.34
510 tf_efficientnet_b4_ap 925.37 414.955 384 380 19.34
511 tf_efficientnet_b4_ns 925.29 414.99 384 380 19.34
512 vit_small_patch16_36x1_224 920.52 1112.401 1024 224 64.67
513 swin_v2_cr_small_224 915.78 1118.157 1024 224 49.7
514 vit_small_patch16_18x2_224 899.5 1138.389 1024 224 64.67
515 xcit_tiny_24_p16_384_dist 885.13 1156.874 1024 384 12.12
516 twins_svt_large 884.59 1157.58 1024 224 99.27
517 nest_small 880.02 581.79 512 224 38.35
518 hrnet_w48 878.91 1165.063 1024 224 77.47
519 cait_s24_224 871.81 1174.556 1024 224 46.92
520 jx_nest_small 870.35 588.255 512 224 38.35
521 poolformer_m36 860.43 1190.082 1024 224 56.17
522 regnety_040 849.33 602.817 512 288 20.65
523 regnetv_040 849.16 602.939 512 288 20.64
524 nfnet_f0 843.53 1213.933 1024 256 71.49
525 resnetv2_50d_evos 834.99 1226.346 1024 288 25.59
526 swin_s3_small_224 821.03 623.593 512 224 49.74
527 repvgg_b2g4 812.87 1259.724 1024 224 61.76
528 xcit_medium_24_p16_224_dist 811.19 1262.323 1024 224 84.4
529 xcit_medium_24_p16_224 810.62 1263.211 1024 224 84.4
530 dpn131 808.5 1266.522 1024 224 79.25
531 swin_base_patch4_window7_224 797.2 1284.488 1024 224 87.77
532 hrnet_w44 791.54 1293.66 1024 224 67.06
533 coat_mini 786.27 1302.337 1024 224 10.34
534 regnetx_120 777.95 658.124 512 224 46.11
535 gmlp_b16_224 772.78 1325.073 1024 224 73.08
536 dm_nfnet_f0 761.49 1344.713 1024 256 71.49
537 regnety_120 754.35 678.713 512 224 51.82
538 densenet264 750.52 1364.368 1024 224 72.69
539 mixnet_xl 748.42 684.091 512 224 11.9
540 crossvit_base_240 747.2 685.212 512 240 105.03
541 xcit_small_12_p16_384_dist 744.87 1374.713 1024 384 26.25
542 resnetv2_50d_gn 742.22 689.806 512 288 25.57
543 xception71 741.19 690.762 512 299 42.34
544 hrnet_w64 723.1 1416.105 1024 224 128.06
545 vit_large_r50_s32_224 721.71 1418.838 1024 224 328.99
546 regnety_040s_gn 714.09 716.982 512 224 20.65
547 seresnet200d 712.88 1436.411 1024 256 71.86
548 resnet152d 711.54 1439.114 1024 320 60.21
549 ecaresnet200d 707.4 1447.533 1024 256 64.69
550 dpn107 701.19 1460.351 1024 224 86.92
551 cspresnext50_iabn 693.03 1477.558 1024 256 20.57
552 senet154 692.07 1479.599 1024 224 115.09
553 legacy_senet154 691.5 1480.826 1024 224 115.09
554 gluon_senet154 689.56 1484.981 1024 224 115.09
555 convit_base 687.54 1489.363 1024 224 86.54
556 vit_small_patch16_384 683.58 748.981 512 384 22.2
557 volo_d2_224 677.6 1511.204 1024 224 58.68
558 tnt_b_patch16_224 675.63 1515.603 1024 224 65.41
559 xcit_nano_12_p8_384_dist 672.93 1521.688 1024 384 3.05
560 resnext101_64x4d 667.5 767.03 512 288 83.46
561 xcit_tiny_24_p8_224 665.57 1538.51 1024 224 12.11
562 swin_s3_base_224 665.44 1538.819 1024 224 71.13
563 xcit_tiny_24_p8_224_dist 665.24 1539.279 1024 224 12.11
564 swin_v2_cr_base_224 655.51 1562.118 1024 224 87.88
565 poolformer_m48 648.5 1579.004 1024 224 73.47
566 repvgg_b3g4 644.06 1589.905 1024 224 83.83
567 tresnet_l 638.84 1602.889 1024 224 55.99
568 resnetrs152 628.07 1630.372 1024 320 86.62
569 nest_base 626.36 817.402 512 224 67.72
570 seresnet152d 626.17 1635.31 1024 320 66.84
571 regnetx_160 623.38 821.322 512 224 54.28
572 jx_nest_base 620.6 824.996 512 224 67.72
573 regnetz_e8 607.41 842.906 512 320 57.7
574 ese_vovnet99b_iabn 606.83 1687.442 1024 224 63.2
575 regnetz_c16_evos 598.38 855.63 512 320 13.49
576 vit_base_r50_s16_224 595.98 1718.162 1024 224 98.66
577 resnest101e 584.85 875.416 512 256 48.28
578 vit_small_r26_s32_384 582.99 878.207 512 384 36.47
579 convmixer_768_32 574.69 1781.818 1024 224 21.11
580 seresnext101_32x8d 574.1 891.822 512 288 93.57
581 cspdarknet53_iabn 571.87 1790.614 1024 256 27.64
582 xcit_small_12_p8_224 568.57 1800.991 1024 224 26.21
583 xcit_small_12_p8_224_dist 567.71 1803.708 1024 224 26.21
584 seresnet269d 558.78 1832.551 1024 256 113.67
585 convnext_large_in22ft1k 544.26 940.706 512 224 197.77
586 convnext_large 544.24 940.754 512 224 197.77
587 regnety_080 536.38 954.53 512 288 39.18
588 resnet200d 524.48 1952.377 1024 320 64.69
589 mixnet_xxl 489.07 785.144 384 224 23.96
590 halonet_h1 488.76 523.759 256 256 8.1
591 eca_nfnet_l1 486.84 2103.345 1024 320 41.41
592 mixer_l16_224 485.71 2108.232 1024 224 208.2
593 efficientnetv2_m 483.16 2119.353 1024 416 54.14
594 vit_large_patch32_384 479.45 2135.754 1024 384 306.63
595 volo_d3_224 473.36 2163.252 1024 224 86.33
596 tresnet_xl 471.89 2169.959 1024 224 78.44
597 regnety_064 471.86 1085.046 512 288 30.58
598 regnetv_064 468.27 1093.376 512 288 30.58
599 efficientnet_b5 467.72 547.327 256 456 30.39
600 xcit_large_24_p16_224_dist 464.03 2206.748 1024 224 189.1
601 xcit_large_24_p16_224 463.92 2207.253 1024 224 189.1
602 efficientnet_b3_gn 459.87 417.496 192 320 11.73
603 swin_large_patch4_window7_224 457.64 1118.756 512 224 196.53
604 resnetrs200 456.26 2244.305 1024 320 93.21
605 tf_efficientnet_b5_ap 447.29 572.321 256 456 30.39
606 tf_efficientnet_b5 447.21 572.425 256 456 30.39
607 tf_efficientnet_b5_ns 446.89 572.83 256 456 30.39
608 xcit_tiny_12_p8_384_dist 429.76 2382.721 1024 384 6.71
609 regnety_320 415.34 1232.707 512 224 145.05
610 regnety_160 414.45 926.515 384 288 83.59
611 xcit_small_24_p16_384_dist 397.04 2579.039 1024 384 47.67
612 efficientnetv2_rw_m 393.18 1302.2 512 416 53.24
613 regnetz_d8_evos 387.65 1320.76 512 320 23.46
614 swin_v2_cr_large_224 386.59 1324.379 512 224 196.68
615 efficientnet_b3_g8_gn 385.43 498.136 192 320 14.25
616 swin_v2_cr_tiny_384 366.25 698.968 256 384 28.33
617 convnext_xlarge_in22ft1k 359.4 1424.579 512 224 350.2
618 tf_efficientnetv2_m 359.31 1424.935 512 480 54.14
619 tf_efficientnetv2_m_in21ft1k 358.34 1428.804 512 480 54.14
620 vit_large_patch16_224 354.58 2887.929 1024 224 304.33
621 crossvit_15_dagger_408 354.15 722.849 256 408 28.5
622 ssl_resnext101_32x16d 347.17 1474.787 512 224 194.03
623 swsl_resnext101_32x16d 346.95 1475.72 512 224 194.03
624 vit_base_patch16_18x2_224 346.41 2956.033 1024 224 256.73
625 ig_resnext101_32x16d 345.97 1479.87 512 224 194.03
626 convnext_base_384_in22ft1k 335.81 1143.488 384 384 88.59
627 beit_large_patch16_224 328.45 3117.61 1024 224 304.43
628 tresnet_m_448 321.84 3181.675 1024 448 31.39
629 volo_d1_384 310.06 1651.255 512 384 26.78
630 volo_d4_224 303.03 3379.23 1024 224 192.96
631 pnasnet5large 299.35 1282.762 384 331 86.06
632 xcit_small_24_p8_224 297.54 3441.571 1024 224 47.63
633 xcit_small_24_p8_224_dist 297.52 3441.791 1024 224 47.63
634 ecaresnet269d 293.49 3489.006 1024 352 102.09
635 nasnetalarge 291.8 1315.945 384 331 88.75
636 resnetrs270 287.51 3561.559 1024 352 129.86
637 nfnet_f1 286.44 3574.909 1024 320 132.63
638 resnetv2_152x2_bit_teacher 280.03 1828.366 512 224 236.34
639 xcit_medium_24_p16_384_dist 278.67 1837.25 512 384 84.4
640 vit_base_patch16_384 277.57 1383.439 384 384 86.86
641 deit_base_patch16_384 277.28 1384.877 384 384 86.86
642 deit_base_distilled_patch16_384 273.16 1405.736 384 384 87.63
643 cait_xxs24_384 268.69 3811.003 1024 384 12.03
644 efficientnet_b6 268.02 477.57 128 528 43.04
645 regnetx_320 262.23 1464.357 384 224 107.81
646 dm_nfnet_f1 261.81 3911.156 1024 320 132.63
647 vit_large_patch14_224 261.02 3923.008 1024 224 304.2
648 crossvit_18_dagger_408 259.11 740.985 192 408 44.61
649 tf_efficientnet_b6_ns 257.39 497.28 128 528 43.04
650 tf_efficientnet_b6_ap 257.15 497.757 128 528 43.04
651 tf_efficientnet_b6 257.08 497.876 128 528 43.04
652 beit_base_patch16_384 239.23 1605.166 384 384 86.74
653 vit_large_r50_s32_384 236.31 1624.94 384 384 329.09
654 eca_nfnet_l2 232.83 2198.978 512 384 56.72
655 xcit_tiny_24_p8_384_dist 226.12 4528.604 1024 384 12.11
656 swin_v2_cr_small_384 224.11 1142.266 256 384 49.7
657 swin_base_patch4_window12_384 212.75 902.462 192 384 87.9
658 resmlp_big_24_distilled_224 209.1 4897.073 1024 224 129.14
659 resmlp_big_24_224 208.19 4918.549 1024 224 129.14
660 resmlp_big_24_224_in22ft1k 208.06 4921.598 1024 224 129.14
661 xcit_medium_24_p8_224 208.01 4922.91 1024 224 84.32
662 xcit_medium_24_p8_224_dist 207.93 4924.607 1024 224 84.32
663 resnest200e 201.92 2535.671 512 320 70.2
664 volo_d5_224 199.55 5131.435 1024 224 295.46
665 xcit_small_12_p8_384_dist 193.71 2643.156 512 384 26.21
666 resnetrs350 188.78 2712.164 512 384 163.96
667 cait_xs24_384 188.52 2715.867 512 384 26.67
668 efficientnetv2_l 186.87 2739.852 512 480 118.52
669 convnext_large_384_in22ft1k 186.32 1373.958 256 384 197.77
670 tf_efficientnetv2_l 185.75 2756.36 512 480 118.52
671 tf_efficientnetv2_l_in21ft1k 185.69 2757.265 512 480 118.52
672 vit_base_patch8_224 182.98 1399.048 256 224 86.58
673 cait_xxs36_384 179.96 5689.985 1024 384 17.37
674 volo_d2_384 173.85 1472.545 256 384 58.87
675 vit_base_r50_s16_384 171.75 2235.786 384 384 98.95
676 vit_base_resnet50_384 171.74 2235.946 384 384 98.95
677 swin_v2_cr_huge_224 170.46 2252.707 384 224 657.83
678 densenet264d_iabn 163.84 6249.837 1024 224 72.74
679 efficientnet_b7 161.28 595.212 96 600 66.35
680 nfnet_f2 161.05 6358.083 1024 352 193.78
681 swin_v2_cr_base_384 160.58 1195.67 192 384 87.88
682 xcit_large_24_p16_384_dist 158.84 3223.264 512 384 189.1
683 tf_efficientnet_b7 155.96 615.536 96 600 66.35
684 tf_efficientnet_b7_ap 155.94 615.594 96 600 66.35
685 tf_efficientnet_b7_ns 155.94 615.59 96 600 66.35
686 tresnet_l_448 152.84 6699.593 1024 448 55.99
687 dm_nfnet_f2 147.62 3468.342 512 352 193.78
688 cait_s24_384 145.6 3516.436 512 384 47.06
689 efficientnetv2_xl 141.55 2712.868 384 512 208.12
690 vit_huge_patch14_224 141.3 7246.972 1024 224 632.05
691 tf_efficientnetv2_xl_in21ft1k 141.27 2718.106 384 512 208.12
692 resnetrs420 134.22 3814.641 512 416 191.89
693 swin_large_patch4_window12_384 125.78 1017.629 128 384 196.74
694 eca_nfnet_l3 122.95 4164.413 512 448 72.04
695 convnext_xlarge_384_in22ft1k 122.83 1563.128 192 384 350.2
696 xcit_large_24_p8_224 118.58 4317.779 512 224 188.93
697 xcit_large_24_p8_224_dist 118.55 4318.826 512 224 188.93
698 tresnet_xl_448 113.53 9019.968 1024 448 78.44
699 efficientnet_cc_b0_8e 109.15 9.151 1 224 24.01
700 efficientnet_cc_b0_4e 106.25 9.403 1 224 13.31
701 tf_efficientnet_cc_b0_4e 105.28 9.489 1 224 13.31
702 tf_efficientnet_cc_b0_8e 105.02 9.512 1 224 24.01
703 xcit_small_24_p8_384_dist 101.44 5047.074 512 384 47.63
704 efficientnet_b8 98.72 972.467 96 672 87.41
705 swin_v2_cr_large_384 98.1 1304.769 128 384 196.68
706 cait_s36_384 97.37 5258.401 512 384 68.37
707 resnetv2_152x2_bit_teacher_384 96.99 2639.495 256 384 236.34
708 tf_efficientnet_b8 96.21 997.82 96 672 87.41
709 tf_efficientnet_b8_ap 96.12 998.706 96 672 87.41
710 resnest269e 94.82 4049.739 384 416 110.93
711 vit_large_patch16_384 94.39 2712.048 256 384 304.72
712 resnetv2_50x3_bitm 92.92 1377.53 128 448 217.32
713 vit_giant_patch14_224 92.83 5515.228 512 224 1012.61
714 nfnet_f3 83.35 6142.681 512 416 254.92
715 convmixer_1024_20_ks9_p14 82.56 12403.804 1024 224 24.38
716 beit_large_patch16_384 82.25 3112.33 256 384 305.0
717 efficientnet_cc_b1_8e 77.14 12.953 1 240 39.72
718 dm_nfnet_f3 76.92 6655.946 512 416 254.92
719 volo_d3_448 75.82 2532.146 192 448 86.63
720 tf_efficientnet_cc_b1_8e 73.25 13.64 1 240 39.72
721 xcit_medium_24_p8_384_dist 70.98 3606.847 256 384 84.32
722 resnetv2_152x2_bitm 70.34 2729.533 192 448 236.34
723 resnetv2_101x3_bitm 57.82 2213.862 128 448 387.93
724 vit_gigantic_patch14_224 56.06 9133.289 512 224 1844.44
725 volo_d4_448 55.8 3441.115 192 448 193.41
726 swin_v2_cr_giant_224 49.27 2597.97 128 224 2598.76
727 nfnet_f4 44.93 8547.007 384 512 316.07
728 swin_v2_cr_huge_384 43.72 1463.762 64 384 657.94
729 dm_nfnet_f4 41.24 9312.061 384 512 316.07
730 xcit_large_24_p8_384_dist 40.33 4760.775 192 384 188.93
731 volo_d5_448 38.49 3325.731 128 448 295.91
732 beit_large_patch16_512 33.13 2897.67 96 512 305.67
733 nfnet_f5 33.1 11599.778 384 544 377.21
734 cait_m36_384 31.8 8050.244 256 384 271.22
735 dm_nfnet_f5 31.5 8127.503 256 544 377.21
736 volo_d5_512 26.9 4758.532 128 512 296.09
737 nfnet_f6 25.41 10073.116 256 576 438.36
738 dm_nfnet_f6 23.41 10936.755 256 576 438.36
739 nfnet_f7 20.63 9307.125 192 608 499.5
740 resnetv2_152x4_bitm 18.31 3496.111 64 480 936.53
741 swin_v2_cr_giant_384 13.76 2325.078 32 384 2598.76
742 cait_m48_448 13.51 9473.095 128 448 356.46
743 convmixer_1536_20 13.51 75823.541 1024 224 51.63

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model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,9380.97,53.881,512,106,2.04
mobilenetv3_small_050,7276.68,69.643,512,224,1.59
tf_mobilenetv3_small_minimal_100,6334.14,80.291,512,224,2.04
mobilenetv3_small_075,5920.21,85.765,512,224,2.04
lcnet_035,5760.61,88.397,512,224,1.64
mobilenetv3_small_100,5583.48,90.99,512,224,2.54
tf_mobilenetv3_small_075,5569.37,91.204,512,224,2.04
levit_128s,5426.95,93.402,512,224,7.78
lcnet_050,5425.23,93.895,512,224,1.88
tf_mobilenetv3_small_100,5275.47,96.328,512,224,2.54
tinynet_d,4879.29,104.179,512,152,2.34
mixer_s32_224,4491.84,113.42,512,224,19.1
vit_small_patch32_224,4321.32,117.658,512,224,22.88
lcnet_075,4147.31,122.971,512,224,2.36
levit_128,3971.6,127.764,512,224,9.21
vit_tiny_r_s16_p8_224,3957.53,128.516,512,224,6.34
lcnet_100,3524.02,144.807,512,224,2.95
mnasnet_small,3488.23,145.878,512,224,2.03
levit_192,3436.74,147.842,512,224,10.95
regnetx_002,3423.6,148.87,512,224,2.68
regnety_002,3178.35,160.128,512,224,3.16
mobilenetv2_035,3069.55,166.033,512,224,1.68
gernet_s,2949.06,172.893,512,224,8.17
mnasnet_050,2821.34,180.673,512,224,2.22
ssl_resnet18,2720.94,187.823,512,224,11.69
swsl_resnet18,2720.55,187.842,512,224,11.69
gluon_resnet18_v1b,2718.42,187.998,512,224,11.69
resnet18,2711.83,188.459,512,224,11.69
semnasnet_050,2700.91,188.67,512,224,2.08
tinynet_c,2654.89,191.851,512,184,2.46
mobilenetv2_050,2650.81,192.34,512,224,1.97
levit_256,2620.65,194.218,512,224,18.89
lcnet_150,2613.69,195.4,512,224,4.5
regnetx_004,2532.79,201.109,512,224,5.16
seresnet18,2519.64,202.716,512,224,11.78
legacy_seresnet18,2461.74,207.479,512,224,11.78
ese_vovnet19b_slim_dw,2456.97,207.908,512,224,1.9
mobilenetv3_large_075,2342.92,217.677,512,224,3.99
tf_mobilenetv3_large_minimal_100,2311.18,220.824,512,224,3.92
vit_tiny_patch16_224,2249.49,226.757,512,224,5.72
levit_256d,2248.95,226.128,512,224,26.21
deit_tiny_patch16_224,2244.74,227.248,512,224,5.72
tf_mobilenetv3_large_075,2222.25,229.522,512,224,3.99
deit_tiny_distilled_patch16_224,2207.23,231.107,512,224,5.91
ghostnet_050,2193.43,232.046,512,224,2.59
mnasnet_075,2163.05,235.897,512,224,3.17
mobilenetv3_rw,2147.03,237.6,512,224,5.48
mobilenetv3_large_100_miil,2135.44,238.882,512,224,5.48
mobilenetv3_large_100,2134.66,238.979,512,224,5.48
resnet18d,2086.64,244.99,512,224,11.71
pit_ti_distilled_224,2085.77,244.59,512,224,5.1
pit_ti_224,2083.57,244.847,512,224,4.85
hardcorenas_a,2050.08,249.015,512,224,5.26
regnetx_006,2048.56,249.103,512,224,6.2
tf_mobilenetv3_large_100,2046.24,249.335,512,224,5.48
ese_vovnet19b_slim,1997.73,255.915,512,224,3.17
mnasnet_100,1996.94,255.609,512,224,4.38
mnasnet_b1,1993.53,256.025,512,224,4.38
xcit_nano_12_p16_224_dist,1946.62,261.255,512,224,3.05
xcit_nano_12_p16_224,1946.1,261.308,512,224,3.05
semnasnet_075,1927.77,264.67,512,224,2.91
hardcorenas_b,1912.19,266.758,512,224,5.18
mobilenetv2_075,1888.29,270.368,512,224,2.64
hardcorenas_c,1885.12,270.645,512,224,5.52
tf_efficientnetv2_b0,1880.38,271.08,512,224,7.14
tinynet_b,1857.15,274.614,512,188,3.73
regnety_004,1855.83,274.756,512,224,4.34
resnetblur18,1846.1,276.978,512,224,11.69
regnety_006,1808.76,282.043,512,224,6.06
hardcorenas_d,1808.52,281.873,512,224,7.5
mnasnet_a1,1796.84,284.044,512,224,3.89
semnasnet_100,1784.41,286.019,512,224,3.89
spnasnet_100,1782.41,286.288,512,224,4.42
skresnet18,1776.65,287.57,512,224,11.96
mobilenetv2_100,1761.25,289.902,512,224,3.5
mixer_b32_224,1711.23,298.43,512,224,60.29
regnetx_008,1669.43,305.887,512,224,7.26
levit_384,1662.81,306.81,512,224,39.13
vit_base_patch32_224,1658.09,307.969,512,224,88.22
vit_base_patch32_224_sam,1657.82,308.015,512,224,88.22
efficientnet_lite0,1636.56,312.086,512,224,4.65
visformer_tiny,1629.51,313.524,512,224,10.32
gluon_resnet34_v1b,1626.25,314.261,512,224,21.8
resnet34,1624.32,314.625,512,224,21.8
tv_resnet34,1622.42,314.985,512,224,21.8
ghostnet_100,1610.26,316.618,512,224,5.18
hardcorenas_f,1606.37,317.568,512,224,8.2
pit_xs_distilled_224,1596.23,319.885,512,224,11.0
pit_xs_224,1595.39,320.023,512,224,10.62
hardcorenas_e,1595.11,319.841,512,224,8.07
tinynet_a,1592.8,320.187,512,192,6.19
resmlp_12_distilled_224,1562.43,326.888,512,224,15.35
resmlp_12_224,1562.2,326.933,512,224,15.35
regnety_008,1550.03,329.315,512,224,6.26
tf_efficientnet_lite0,1547.08,330.18,512,224,4.65
mixer_s16_224,1538.34,332.27,512,224,18.53
fbnetc_100,1532.35,333.142,512,224,5.57
seresnet34,1494.24,341.776,512,224,21.96
mnasnet_140,1493.96,341.916,512,224,7.12
nf_regnet_b0,1481.15,344.453,512,256,8.76
legacy_seresnet34,1458.06,350.271,512,224,21.96
gmixer_12_224,1449.53,352.403,512,224,12.7
gernet_m,1442.79,354.129,512,224,21.14
ese_vovnet19b_dw,1440.24,354.984,512,224,6.54
vit_small_patch32_384,1423.05,358.931,512,384,22.92
nf_resnet26,1422.6,359.386,512,224,16.0
efficientnet_b0,1413.79,270.572,384,224,5.29
dla46_c,1408.04,362.893,512,224,1.3
rexnetr_100,1385.71,275.935,384,224,4.88
mobilenetv2_110d,1384.57,276.313,384,224,4.52
rexnet_100,1381.06,276.903,384,224,4.8
vit_tiny_r_s16_p8_384,1371.38,279.143,384,384,6.36
ghostnet_130,1367.64,372.982,512,224,7.36
resnet34d,1367.17,373.876,512,224,21.82
tf_efficientnet_b0,1353.9,282.522,384,224,5.29
tf_efficientnet_b0_ap,1353.18,282.683,384,224,5.29
tf_efficientnet_b0_ns,1352.63,282.744,384,224,5.29
selecsls42,1349.71,378.706,512,224,30.35
selecsls42b,1347.34,379.337,512,224,32.46
gmlp_ti16_224,1340.35,284.915,384,224,5.87
regnetz_005,1326.54,384.587,512,224,7.12
crossvit_tiny_240,1322.74,385.447,512,240,7.01
resnet26,1321.4,386.974,512,224,16.0
semnasnet_140,1315.96,388.179,512,224,6.11
xcit_tiny_12_p16_224,1309.91,389.1,512,224,6.72
xcit_tiny_12_p16_224_dist,1303.81,390.894,512,224,6.72
hrnet_w18_small,1302.26,391.765,512,224,13.19
efficientnet_b1_pruned,1277.21,399.368,512,240,6.33
mobilevit_xxs,1270.89,301.046,384,256,1.27
mobilenetv2_140,1250.7,306.236,384,224,6.11
poolformer_s12,1245.33,410.466,512,224,11.92
crossvit_9_240,1236.49,309.127,384,240,8.55
nf_seresnet26,1207.14,423.49,512,224,17.4
tf_efficientnetv2_b1,1198.02,319.027,384,240,8.14
repvgg_b0,1184.29,431.28,512,224,15.82
crossvit_9_dagger_240,1177.9,324.572,384,240,8.78
selecsls60,1152.93,443.193,512,224,30.67
mixnet_s,1150.64,443.717,512,224,4.13
selecsls60b,1149.12,444.678,512,224,32.77
efficientnet_es,1142.77,447.293,512,224,5.44
efficientnet_es_pruned,1141.22,447.892,512,224,5.44
nf_ecaresnet26,1137.4,449.596,512,224,16.0
resnet26d,1125.5,454.383,512,224,16.01
tf_efficientnet_es,1120.47,456.18,512,224,5.44
efficientnet_lite1,1109.69,229.723,256,240,5.42
rexnetr_130,1097.15,232.191,256,224,7.61
tf_mixnet_s,1090.03,468.412,512,224,4.13
convit_tiny,1087.94,469.614,512,224,5.71
convnext_nano_hnf,1075.51,356.223,384,224,15.59
dla34,1072.51,476.787,512,224,15.74
tf_efficientnet_lite1,1061.0,240.288,256,240,5.42
dla46x_c,1058.5,482.972,512,224,1.07
rexnet_130,1051.04,242.43,256,224,7.56
regnetx_016,1042.11,490.415,512,224,9.19
mobilenetv2_120d,1036.53,245.787,256,224,5.83
skresnet34,1033.13,494.425,512,224,22.28
vit_small_patch16_224,1032.86,370.943,384,224,22.05
deit_small_patch16_224,1031.61,371.386,384,224,22.05
deit_small_distilled_patch16_224,1011.7,378.721,384,224,22.44
dla60x_c,1011.12,505.401,512,224,1.32
ecaresnet50d_pruned,1009.57,506.231,512,224,19.94
gernet_l,1007.43,507.303,512,256,31.08
efficientnet_b0_g16_evos,992.51,385.814,384,224,8.11
rexnetr_150,973.93,261.684,256,224,9.78
vit_base2_patch32_256,970.35,526.818,512,256,119.46
pit_s_distilled_224,963.9,264.693,256,224,24.04
pit_s_224,963.25,264.885,256,224,23.46
fbnetv3_b,936.5,408.4,384,256,8.6
rexnet_150,934.54,272.774,256,224,9.73
repvgg_a2,931.84,548.616,512,224,28.21
legacy_seresnext26_32x4d,930.69,411.955,384,224,16.79
regnety_016,921.99,553.558,512,224,11.2
resnest14d,909.12,562.716,512,224,10.61
efficientnet_cc_b0_4e,892.75,428.931,384,224,13.31
efficientnet_cc_b0_8e,889.3,430.599,384,224,24.01
coat_lite_tiny,885.61,432.738,384,224,5.72
nf_regnet_b1,883.44,578.138,512,288,10.22
resnetv2_50,883.05,579.001,512,224,25.55
resnext26ts,882.89,434.405,384,256,10.3
resnet26t,880.13,581.227,512,256,16.01
tf_efficientnetv2_b2,877.18,290.276,256,260,10.1
fbnetv3_d,875.63,290.586,256,256,10.31
nf_regnet_b2,875.24,583.366,512,272,14.31
tf_efficientnet_cc_b0_4e,872.5,438.913,384,224,13.31
tf_efficientnet_cc_b0_8e,867.49,441.45,384,224,24.01
efficientnet_b0_gn,860.35,296.448,256,224,5.29
eca_resnext26ts,852.81,299.643,256,256,10.3
seresnext26ts,848.06,301.17,256,256,10.39
botnet26t_256,835.32,459.139,384,256,12.49
gluon_resnet50_v1b,835.19,458.946,384,224,25.56
twins_svt_small,835.02,458.264,384,224,24.06
swsl_resnet50,834.38,459.391,384,224,25.56
resnet50,833.17,460.051,384,224,25.56
tf_efficientnet_b1_ap,832.71,305.903,256,240,7.79
tf_efficientnet_b1,832.37,306.044,256,240,7.79
tf_efficientnet_b1_ns,831.62,306.366,256,240,7.79
tv_resnet50,831.54,460.947,384,224,25.56
efficientnet_b2_pruned,831.45,306.38,256,260,8.31
seresnext26tn_32x4d,831.09,461.371,384,224,16.81
seresnext26d_32x4d,830.66,461.598,384,224,16.81
gcresnext26ts,830.6,307.372,256,256,10.48
seresnext26t_32x4d,830.1,461.943,384,224,16.81
ssl_resnet50,828.96,462.397,384,224,25.56
coat_lite_mini,825.96,464.063,384,224,11.01
vgg11,818.58,625.301,512,224,132.86
halonet26t,813.08,471.69,384,256,12.48
vit_small_resnet26d_224,812.32,471.613,384,224,63.61
eca_botnext26ts_256,804.88,317.468,256,256,10.59
efficientnet_lite2,800.14,318.978,256,260,6.09
efficientnet_b1,797.8,319.366,256,256,7.79
resnetv2_50t,793.9,644.111,512,224,25.57
ecaresnext26t_32x4d,792.87,483.752,384,224,15.41
ecaresnext50t_32x4d,790.88,484.99,384,224,15.41
resnetv2_50d,790.5,646.873,512,224,25.57
tresnet_m,787.27,647.568,512,224,31.39
convnext_tiny,782.73,326.109,256,224,28.59
eca_halonext26ts,781.32,327.03,256,256,10.76
vovnet39a,779.14,656.53,512,224,22.6
ecaresnet101d_pruned,778.75,655.702,512,224,24.88
mixnet_m,778.63,491.619,384,224,5.01
cspresnet50,774.32,495.068,384,256,21.62
tf_efficientnet_lite2,771.04,331.043,256,260,6.09
gluon_resnet50_v1c,769.5,498.184,384,224,25.58
ecaresnetlight,767.59,666.098,512,224,30.16
resmlp_24_224,766.31,332.575,256,224,30.02
resmlp_24_distilled_224,766.21,332.58,256,224,30.02
cspresnext50,765.28,500.93,384,224,20.57
resnet50t,753.13,509.003,384,224,25.57
resnet50d,752.95,509.12,384,224,25.58
gluon_resnet50_v1d,752.94,509.122,384,224,25.58
legacy_seresnet50,751.28,510.001,384,224,28.09
mobilevit_xs,751.23,339.638,256,256,2.32
tf_mixnet_m,748.19,511.684,384,224,5.01
ese_vovnet39b,748.06,683.786,512,224,24.57
resnet32ts,744.11,343.453,256,256,17.96
visformer_small,743.29,515.928,384,224,40.22
dpn68b,737.5,519.461,384,224,12.61
selecsls84,735.99,694.378,512,224,50.95
resnet33ts,732.63,348.809,256,256,19.68
nf_seresnet50,732.06,523.375,384,224,28.09
rexnetr_200,724.64,263.786,192,224,16.52
lambda_resnet26t,724.61,529.342,384,256,10.96
seresnet50,722.32,530.5,384,224,28.09
dpn68,721.48,531.095,384,224,12.61
res2net50_48w_2s,717.64,534.245,384,224,25.29
gmixer_24_224,717.31,355.331,256,224,24.72
eca_resnet33ts,712.11,358.824,256,256,19.68
seresnet33ts,709.27,360.12,256,256,19.78
bat_resnext26ts,708.45,360.137,256,256,10.73
rexnet_200,703.57,271.754,192,224,16.37
resnetblur50,702.19,546.026,384,224,25.56
cspresnet50d,701.76,546.305,384,256,21.64
vgg11_bn,698.67,549.368,384,224,132.87
twins_pcpvt_small,698.21,364.986,256,224,24.11
eca_vovnet39b,697.82,733.074,512,224,22.6
efficientnet_em,694.64,551.807,384,240,6.9
dla60,693.8,552.499,384,224,22.04
tf_efficientnet_em,692.96,368.419,256,240,6.9
cspresnet50w,692.76,553.433,384,256,28.12
resnest26d,688.5,556.976,384,224,17.07
gcresnet33ts,687.02,371.584,256,256,19.88
tv_densenet121,686.65,371.007,256,224,7.98
densenet121,686.51,371.091,256,224,7.98
vit_small_r26_s32_224,685.79,371.994,256,224,36.43
convnext_tiny_hnf,683.74,373.449,256,224,28.59
xcit_nano_12_p16_384_dist,682.7,373.202,256,384,3.05
xcit_tiny_24_p16_224_dist,681.26,372.348,256,224,12.12
lambda_resnet26rpt_256,679.63,281.896,192,256,10.99
xcit_tiny_24_p16_224,679.38,373.443,256,224,12.12
vit_base_resnet26d_224,679.21,563.967,384,224,101.4
resnetaa50d,678.8,564.84,384,224,25.58
nf_ecaresnet50,673.73,568.984,384,224,25.56
hrnet_w18_small_v2,672.52,758.874,512,224,15.6
gluon_resnet50_v1s,671.98,570.574,384,224,25.68
efficientnet_b0_g8_gn,661.67,385.796,256,224,6.56
seresnet50t,659.6,581.03,384,224,28.1
efficientnet_b3_pruned,657.34,387.781,256,300,9.86
haloregnetz_b,656.48,388.419,256,224,11.68
tv_resnext50_32x4d,651.27,588.791,384,224,25.03
swsl_resnext50_32x4d,651.11,588.925,384,224,25.03
gluon_resnext50_32x4d,650.97,589.059,384,224,25.03
ssl_resnext50_32x4d,650.9,589.136,384,224,25.03
resnext50_32x4d,649.99,589.957,384,224,25.03
resnetrs50,648.71,590.781,384,224,35.69
densenet121d,646.33,394.275,256,224,8.0
regnetx_032,643.77,595.296,384,224,15.3
resnetblur50d,642.77,397.429,256,224,25.58
res2net50_26w_4s,636.71,601.86,384,224,25.7
swin_tiny_patch4_window7_224,635.13,402.044,256,224,28.29
skresnet50,634.96,603.369,384,224,25.8
poolformer_s24,634.53,402.132,256,224,21.39
gmlp_s16_224,632.58,301.939,192,224,19.42
ese_vovnet57b,632.35,606.334,384,224,38.61
crossvit_small_240,625.73,407.457,256,240,26.86
xcit_small_12_p16_224_dist,625.08,407.723,256,224,26.25
xcit_small_12_p16_224,624.67,407.992,256,224,26.25
densenetblur121d,617.78,412.569,256,224,8.0
ecaresnet50d,612.94,625.548,384,224,25.58
tf_efficientnet_b2_ns,610.27,313.114,192,260,9.11
tf_efficientnet_b2_ap,610.1,313.168,192,260,9.11
tf_efficientnet_b2,609.89,313.274,192,260,9.11
mixnet_l,603.6,634.707,384,224,7.33
gluon_inception_v3,601.71,636.771,384,299,23.83
inception_v3,601.07,637.475,384,299,23.83
adv_inception_v3,601.02,637.509,384,299,23.83
tf_inception_v3,600.65,637.912,384,299,23.83
sehalonet33ts,599.96,425.883,256,256,13.69
seresnetaa50d,599.53,425.823,256,224,28.11
resnext50d_32x4d,598.58,426.825,256,224,25.05
mobilevit_s,596.24,320.895,192,256,5.58
resnetv2_50x1_bit_distilled,588.8,325.252,192,224,25.55
gcresnet50t,583.98,436.858,256,256,25.9
skresnet50d,583.54,437.238,256,224,25.82
swin_s3_tiny_224,576.57,442.971,256,224,28.33
seresnext50_32x4d,576.37,443.036,256,224,27.56
gluon_seresnext50_32x4d,576.3,443.051,256,224,27.56
tf_mixnet_l,576.22,442.743,256,224,7.33
legacy_seresnext50_32x4d,575.52,443.681,256,224,27.56
res2next50,575.07,443.835,256,224,24.67
repvgg_b1g4,572.25,893.649,512,224,39.97
cspresnext50_iabn,572.06,669.169,384,256,20.57
convnext_tiny_hnfd,570.41,447.777,256,224,28.63
res2net50_14w_8s,569.05,447.639,256,224,25.06
resnest50d_1s4x24d,568.93,448.655,256,224,25.68
cait_xxs24_224,568.71,447.7,256,224,11.96
crossvit_15_240,567.12,336.74,192,240,27.53
semobilevit_s,566.94,337.375,192,256,5.74
densenet169,563.82,451.519,256,224,14.15
efficientnet_b2,561.37,340.497,192,288,9.11
efficientnet_cc_b1_8e,559.34,455.785,256,240,39.72
efficientnet_b2a,558.58,342.255,192,288,9.11
darknet53,556.85,458.909,256,256,41.61
dla60_res2net,555.54,459.405,256,224,20.85
dla60x,553.4,461.598,256,224,17.35
mixer_b16_224,552.46,462.598,256,224,59.88
nf_resnet101,550.61,695.793,384,224,44.55
tf_efficientnet_cc_b1_8e,549.81,463.949,256,240,39.72
regnetx_040,549.5,697.703,384,224,22.12
mixer_b16_224_miil,549.25,465.267,256,224,59.88
crossvit_15_dagger_240,547.66,348.734,192,240,28.21
nf_regnet_b3,547.65,465.691,256,320,18.59
vovnet57a,547.59,934.12,512,224,36.64
resnetv2_101,544.49,468.639,256,224,44.54
xcit_nano_12_p8_224,542.16,470.425,256,224,3.05
xcit_nano_12_p8_224_dist,541.55,470.928,256,224,3.05
tf_efficientnetv2_b3,541.54,352.751,192,300,14.36
sebotnet33ts_256,540.04,236.225,128,256,13.7
gcresnext50ts,538.97,354.583,192,256,15.67
nf_resnet50,536.27,715.168,384,288,25.56
resnet50_gn,532.97,359.41,192,224,25.56
vit_base_r26_s32_224,532.84,359.064,192,224,101.38
vit_base_patch32_384,531.15,481.156,256,384,88.3
efficientnetv2_rw_t,527.04,362.193,192,288,13.65
resnet101,526.31,484.87,256,224,44.55
gluon_resnet101_v1b,525.74,485.353,256,224,44.55
tv_resnet101,523.69,487.267,256,224,44.55
vit_large_patch32_224,515.11,495.389,256,224,306.54
vit_base_resnet50d_224,514.44,495.989,256,224,110.97
mixer_l32_224,507.93,376.544,192,224,206.94
resnetv2_101d,506.46,503.899,256,224,44.56
swin_v2_cr_tiny_224,505.66,378.391,192,224,28.33
vit_tiny_patch16_384,505.36,252.456,128,384,5.79
resmlp_36_224,505.0,378.005,192,224,44.69
resmlp_36_distilled_224,504.83,378.088,192,224,44.69
swin_v2_cr_tiny_ns_224,503.02,380.384,192,224,28.33
repvgg_b1,501.28,1020.314,512,224,57.42
dla60_res2next,500.08,510.484,256,224,17.03
gluon_resnet101_v1c,498.53,511.943,256,224,44.57
wide_resnet50_2,491.97,779.7,384,224,68.88
gluon_resnet101_v1d,491.71,519.004,256,224,44.57
resnest50d,484.85,526.671,256,224,27.48
vgg13,482.75,795.25,384,224,133.05
cspdarknet53,481.82,530.306,256,256,27.64
gc_efficientnetv2_rw_t,480.93,396.503,192,288,13.68
convnext_small,478.98,399.137,192,224,50.22
efficientnet_lite3,478.82,266.239,128,300,8.2
ecaresnet26t,478.49,534.465,256,320,16.01
nest_tiny,477.21,267.341,128,224,17.06
regnetz_b16,476.53,401.488,192,288,9.72
dla102,475.31,537.042,256,224,33.27
cspdarknet53_iabn,474.61,806.628,384,256,27.64
res2net50_26w_6s,474.4,537.903,256,224,37.05
jx_nest_tiny,469.53,271.701,128,224,17.06
twins_pcpvt_base,465.48,409.697,192,224,43.83
vgg13_bn,465.35,549.842,256,224,133.05
halonet50ts,463.11,413.595,192,256,22.73
regnetx_080,462.29,829.538,384,224,39.57
lambda_resnet50ts,461.63,414.909,192,256,21.54
coat_lite_small,461.47,414.609,192,224,19.84
legacy_seresnet101,460.47,553.804,256,224,49.33
vgg16,459.25,557.204,256,224,138.36
tf_efficientnet_lite3,458.84,277.849,128,300,8.2
resnetaa101d,458.35,556.916,256,224,44.57
gluon_resnet101_v1s,456.37,559.352,256,224,44.67
xcit_tiny_12_p16_384_dist,451.6,423.4,192,384,6.72
seresnet101,447.82,569.466,256,224,49.33
densenet201,447.49,426.067,192,224,20.01
mixnet_xl,447.09,570.692,256,224,11.9
nf_seresnet101,444.89,573.162,256,224,49.33
convit_small,441.84,433.517,192,224,27.78
resnetblur101d,441.53,578.26,256,224,44.57
nfnet_l0,426.47,599.103,256,288,35.07
skresnext50_32x4d,424.37,601.881,256,224,27.48
poolformer_s36,424.29,450.68,192,224,30.86
botnet50ts_256,421.6,302.649,128,256,22.74
halo2botnet50ts_256,418.8,457.379,192,256,22.64
gluon_resnext101_32x4d,418.26,610.512,256,224,44.18
resnext101_32x4d,417.6,611.486,256,224,44.18
ssl_resnext101_32x4d,417.52,611.578,256,224,44.18
swsl_resnext101_32x4d,417.45,611.654,256,224,44.18
fbnetv3_g,415.62,305.885,128,288,16.62
twins_svt_base,413.84,461.835,192,224,56.07
ese_vovnet39b_evos,413.01,308.979,128,224,24.58
res2net101_26w_4s,405.25,629.29,256,224,45.21
eca_nfnet_l0,404.73,631.533,256,288,24.14
tresnet_l,403.54,1265.42,512,224,55.99
lamhalobotnet50ts_256,403.43,474.897,192,256,22.57
volo_d1_224,400.45,478.074,192,224,26.63
crossvit_18_240,400.32,317.735,128,240,43.27
resnet51q,397.98,481.556,192,288,35.7
nf_ecaresnet101,396.22,644.266,256,224,44.55
dla102x,392.86,487.139,192,224,26.31
vit_base_patch16_224_miil,392.0,489.026,192,224,86.54
swin_small_patch4_window7_224,391.85,488.136,192,224,49.61
regnety_032,391.81,651.958,256,288,19.44
regnetx_064,390.82,654.137,256,224,26.21
res2net50_26w_8s,389.26,655.478,256,224,48.4
vgg16_bn,388.47,658.66,256,224,138.37
deit_base_patch16_224,386.56,495.833,192,224,86.57
crossvit_18_dagger_240,386.08,329.466,128,240,44.27
vit_base_patch16_224,385.82,496.783,192,224,86.57
resnest50d_4s2x40d,385.78,662.242,256,224,30.42
xception,384.95,331.72,128,299,22.86
vit_base_patch16_224_sam,384.94,497.961,192,224,86.57
ecaresnet101d,381.61,669.061,256,224,44.57
deit_base_distilled_patch16_224,379.86,504.583,192,224,87.34
resnetv2_152,379.0,673.236,256,224,60.19
repvgg_b2g4,377.95,1353.629,512,224,61.76
ese_vovnet99b,373.94,683.067,256,224,63.2
vit_small_resnet50d_s16_224,373.61,512.677,192,224,57.53
cait_xxs36_224,371.71,512.777,192,224,17.3
resnet152,371.52,514.561,192,224,60.19
tv_resnet152,371.15,515.007,192,224,60.19
gluon_resnet152_v1b,368.93,518.118,192,224,60.19
gluon_seresnext101_32x4d,368.19,519.228,192,224,48.96
seresnext101_32x4d,367.5,520.242,192,224,48.96
nfnet_f0,366.97,696.402,256,256,71.49
legacy_seresnext101_32x4d,366.06,522.375,192,224,48.96
tf_efficientnet_b3_ap,364.58,349.402,128,300,12.23
tf_efficientnet_b3_ns,364.49,349.53,128,300,12.23
tf_efficientnet_b3,364.34,349.633,128,300,12.23
resnetv2_152d,361.2,529.264,192,224,60.2
resnet61q,358.48,356.024,128,288,36.85
resnetv2_50d_frn,357.45,356.923,128,224,25.59
ese_vovnet99b_iabn,357.31,1071.637,384,224,63.2
gluon_resnet152_v1c,355.88,537.206,192,224,60.21
hrnet_w18,355.73,714.824,256,224,21.3
efficientnet_b3,355.08,358.849,128,320,12.23
efficientnet_b3a,354.83,359.115,128,320,12.23
regnety_040,354.78,539.617,192,288,20.65
beit_base_patch16_224,353.55,541.973,192,224,86.53
gluon_resnet152_v1d,353.52,540.757,192,224,60.21
regnety_040s_gn,353.11,360.919,128,224,20.65
vgg19,352.0,1090.659,384,224,143.67
xcit_tiny_12_p8_224,351.32,362.59,128,224,6.71
xcit_tiny_12_p8_224_dist,351.06,362.838,128,224,6.71
xception41p,343.38,371.913,128,299,26.91
regnetv_040,342.33,372.402,128,288,20.64
tnt_s_patch16_224,339.73,563.196,192,224,23.76
repvgg_b2,339.2,1508.352,512,224,89.02
vgg19_bn,336.08,761.352,256,224,143.68
gluon_resnet152_v1s,334.98,570.781,192,224,60.32
densenet161,332.41,382.595,128,224,28.68
dm_nfnet_f0,331.82,770.266,256,256,71.49
dla169,331.14,577.405,192,224,53.39
resnetv2_50d_gn,330.91,385.985,128,288,25.57
convnext_base_in22ft1k,328.04,388.471,128,224,88.59
convnext_tiny_in22ft1k,327.7,388.845,128,224,88.59
convnext_small_in22ft1k,326.36,390.508,128,224,88.59
convnext_base,325.78,391.109,128,224,88.59
xcit_small_24_p16_224_dist,322.26,393.856,128,224,47.67
xcit_small_24_p16_224,321.22,395.027,128,224,47.67
repvgg_b3g4,321.08,1194.912,384,224,83.83
pit_b_224,319.89,399.203,128,224,73.76
twins_pcpvt_large,319.03,397.109,128,224,60.99
pit_b_distilled_224,318.55,400.853,128,224,74.79
legacy_seresnet152,315.59,605.069,192,224,66.82
dpn92,314.54,812.398,256,224,37.67
inception_v4,312.24,612.734,192,299,42.68
regnetx_120,309.13,827.171,256,224,46.11
hrnet_w32,308.88,823.922,256,224,41.23
convmixer_1024_20_ks9_p14,308.12,830.025,256,224,24.38
ecaresnet50t,306.63,416.493,128,320,25.57
seresnet152,305.84,415.318,128,224,66.82
coat_tiny,303.51,419.779,128,224,5.5
vit_small_patch16_36x1_224,303.33,419.341,128,224,64.67
regnetz_c16,302.72,421.37,128,320,13.46
vit_small_patch16_18x2_224,302.0,421.199,128,224,64.67
hrnet_w30,301.17,845.104,256,224,37.71
swin_v2_cr_small_224,300.16,424.024,128,224,49.7
nest_small,296.43,322.186,96,224,38.35
tresnet_xl,295.35,1296.648,384,224,78.44
jx_nest_small,294.56,324.278,96,224,38.35
efficientnet_el,291.47,438.031,128,300,10.59
xception41,291.46,437.936,128,299,26.97
efficientnet_el_pruned,291.16,438.564,128,300,10.59
regnety_120,291.14,658.173,192,224,51.82
cait_s24_224,290.55,438.065,128,224,46.92
nf_regnet_b4,288.27,441.948,128,384,30.21
twins_svt_large,288.14,442.123,128,224,99.27
wide_resnet101_2,287.9,665.343,192,224,126.89
mixnet_xxl,287.84,442.746,128,224,23.96
tf_efficientnet_el,286.59,445.507,128,300,10.59
poolformer_m36,284.22,448.517,128,224,56.17
swin_s3_small_224,277.99,343.436,96,224,49.74
repvgg_b3,276.27,1388.871,384,224,123.09
swin_base_patch4_window7_224,273.38,466.273,128,224,87.77
gmlp_b16_224,266.77,358.289,96,224,73.08
gluon_resnext101_64x4d,266.55,478.624,128,224,83.46
dla102x2,265.99,479.601,128,224,41.28
resnet200,264.41,481.093,128,224,64.67
resnetv2_50d_evob,261.14,366.354,96,224,25.59
regnetx_160,260.8,735.124,192,224,54.28
xception65p,258.86,493.161,128,299,39.82
inception_resnet_v2,255.7,747.606,192,299,55.84
ens_adv_inception_resnet_v2,255.53,748.108,192,299,55.84
resnetrs101,253.22,503.169,128,288,63.62
resnext101_32x8d,252.1,506.144,128,224,88.79
ig_resnext101_32x8d,251.82,506.789,128,224,88.79
ssl_resnext101_32x8d,251.44,507.525,128,224,88.79
swsl_resnext101_32x8d,251.43,507.504,128,224,88.79
crossvit_base_240,250.95,380.881,96,240,105.03
dpn98,249.4,511.692,128,224,61.57
efficientnet_lite4,247.4,257.372,64,380,13.01
coat_mini,246.33,517.632,128,224,10.34
efficientnetv2_s,245.94,388.167,96,384,21.46
gluon_seresnext101_64x4d,243.95,522.441,128,224,88.23
tf_efficientnetv2_s_in21ft1k,243.54,391.981,96,384,21.46
tf_efficientnetv2_s,242.89,393.02,96,384,21.46
resnet101d,240.52,530.628,128,320,44.57
resnest101e,240.15,530.415,128,256,48.28
tf_efficientnet_lite4,239.36,265.97,64,380,13.01
vit_small_patch16_384,235.44,270.99,64,384,22.2
xcit_tiny_24_p16_384_dist,233.56,407.54,96,384,12.12
efficientnetv2_rw_s,232.48,273.03,64,384,23.94
regnety_064,232.21,549.529,128,288,30.58
xcit_medium_24_p16_224_dist,231.18,550.33,128,224,84.4
xcit_medium_24_p16_224,231.11,550.432,128,224,84.4
vit_large_r50_s32_224,229.5,415.85,96,224,328.99
regnetv_064,225.87,564.974,128,288,30.58
vit_small_r26_s32_384,225.43,282.622,64,384,36.47
convit_base,225.0,567.909,128,224,86.54
gluon_xception65,223.32,427.945,96,299,39.92
xception65,222.42,429.727,96,299,39.92
tnt_b_patch16_224,222.32,573.844,128,224,65.41
volo_d2_224,221.58,431.459,96,224,58.68
regnety_080,221.2,577.488,128,288,39.18
hrnet_w40,220.15,867.238,192,224,57.56
swin_s3_base_224,219.92,433.728,96,224,71.13
xcit_small_12_p16_384_dist,216.0,442.656,96,384,26.25
swin_v2_cr_base_224,214.24,445.643,96,224,87.88
hrnet_w48,213.16,895.867,192,224,77.47
resnetv2_50d_evos,211.1,226.199,48,288,25.59
nest_base,210.29,302.692,64,224,67.72
jx_nest_base,209.17,304.343,64,224,67.72
vit_base_r50_s16_224,208.73,458.333,96,224,98.66
tresnet_m_448,206.95,924.987,192,448,31.39
hrnet_w44,206.72,924.031,192,224,67.06
efficientnet_b4,203.38,312.633,64,384,19.34
regnetz_b16_evos,201.27,316.106,64,288,9.74
regnetz_040h,199.85,318.401,64,320,28.94
regnetz_040,199.66,318.691,64,320,27.12
efficientnet_b3_gn,199.47,319.133,64,320,11.73
densenet264,199.22,477.999,96,224,72.69
regnetz_d8,197.46,322.524,64,320,23.37
eca_nfnet_l1,189.9,672.191,128,320,41.41
tf_efficientnet_b4,188.81,336.904,64,380,19.34
tf_efficientnet_b4_ns,188.45,337.501,64,380,19.34
tf_efficientnet_b4_ap,188.4,337.642,64,380,19.34
poolformer_m48,187.63,509.206,96,224,73.47
dpn131,186.23,685.159,128,224,79.25
regnetz_d32,186.08,342.366,64,320,27.58
xcit_nano_12_p8_384_dist,183.21,347.477,64,384,3.05
convnext_large_in22ft1k,182.13,525.349,96,224,197.77
convnext_large,180.72,529.451,96,224,197.77
xcit_tiny_24_p8_224_dist,179.19,532.437,96,224,12.11
xcit_tiny_24_p8_224,179.14,532.524,96,224,12.11
dpn107,174.56,731.55,128,224,86.92
resnet152d,172.45,554.35,96,320,60.21
hrnet_w64,170.75,744.856,128,224,128.06
halonet_h1,170.55,373.795,64,256,8.1
xception71,168.15,378.514,64,299,42.34
mixer_l16_224,167.46,571.737,96,224,208.2
regnety_320,166.3,768.299,128,224,145.05
vit_large_patch32_384,165.23,579.454,96,384,306.63
densenet264d_iabn,165.07,1158.795,192,224,72.74
xcit_small_12_p8_224,164.33,387.646,64,224,26.21
xcit_small_12_p8_224_dist,164.16,388.107,64,224,26.21
efficientnet_b3_g8_gn,153.99,413.949,64,320,14.25
swin_large_patch4_window7_224,152.41,417.988,64,224,196.53
volo_d3_224,152.25,417.779,64,224,86.33
ecaresnet200d,150.97,632.522,96,256,64.69
seresnet200d,149.9,422.786,64,256,71.86
regnetx_320,146.61,871.937,128,224,107.81
seresnet152d,143.56,442.443,64,320,66.84
resnetv2_50x1_bitm,142.06,337.009,48,448,25.55
gluon_senet154,141.6,674.51,96,224,115.09
resnetrs152,141.55,448.821,64,320,86.62
senet154,141.16,676.729,96,224,115.09
legacy_senet154,139.88,683.0,96,224,115.09
regnety_160,136.04,704.372,96,288,83.59
xcit_large_24_p16_224_dist,130.76,486.175,64,224,189.1
xcit_large_24_p16_224,130.33,487.671,64,224,189.1
seresnext101_32x8d,126.87,502.294,64,288,93.57
nfnet_f1,125.34,763.802,96,320,132.63
resnet200d,124.61,510.654,64,320,64.69
regnetz_c16_evos,123.93,385.448,48,320,13.49
resnext101_64x4d,122.56,781.647,96,288,83.46
efficientnetv2_m,120.01,396.838,48,416,54.14
swin_v2_cr_large_224,119.95,397.782,48,224,196.68
xcit_tiny_12_p8_384_dist,119.32,400.563,48,384,6.71
vit_large_patch16_224,116.44,548.026,64,224,304.33
crossvit_15_dagger_408,116.23,273.461,32,408,28.5
seresnet269d,116.02,545.703,64,256,113.67
vit_base_patch16_18x2_224,115.21,552.796,64,224,256.73
convnext_xlarge_in22ft1k,113.61,561.618,64,224,350.2
convnext_base_384_in22ft1k,112.88,423.483,48,384,88.59
dm_nfnet_f1,112.71,565.567,64,320,132.63
convnext_tiny_384_in22ft1k,112.65,424.398,48,384,88.59
convnext_small_384_in22ft1k,112.59,424.604,48,384,88.59
nf_regnet_b5,112.22,567.655,64,456,49.74
swin_v2_cr_tiny_384,111.16,286.572,32,384,28.33
xcit_small_24_p16_384_dist,110.42,431.325,48,384,47.67
beit_large_patch16_224,107.44,593.678,64,224,304.43
regnetz_e8,103.46,461.955,48,320,57.7
efficientnetv2_rw_m,103.11,307.008,32,416,53.24
tresnet_l_448,101.52,1257.535,128,448,55.99
swsl_resnext101_32x16d,99.54,962.862,96,224,194.03
ig_resnext101_32x16d,99.3,965.129,96,224,194.03
ssl_resnext101_32x16d,99.25,965.706,96,224,194.03
volo_d1_384,98.94,322.06,32,384,26.78
resnetrs200,98.6,482.325,48,320,93.21
cait_xxs24_384,97.24,491.195,48,384,12.03
deit_base_patch16_384,95.92,332.748,32,384,86.86
vit_base_patch16_384,95.88,332.951,32,384,86.86
volo_d4_224,95.4,500.622,48,224,192.96
eca_nfnet_l2,94.36,675.671,64,384,56.72
deit_base_distilled_patch16_384,93.97,339.685,32,384,87.63
efficientnet_b5,90.42,351.458,32,456,30.39
tf_efficientnetv2_m,89.36,354.724,32,480,54.14
tf_efficientnetv2_m_in21ft1k,89.12,355.723,32,480,54.14
tf_efficientnet_b5,88.7,358.215,32,456,30.39
tf_efficientnet_b5_ap,88.68,358.368,32,456,30.39
tf_efficientnet_b5_ns,88.58,358.774,32,456,30.39
crossvit_18_dagger_408,87.86,362.177,32,408,44.61
resnetv2_101x1_bitm,87.29,364.971,32,448,44.54
convmixer_768_32,87.13,1100.537,96,224,21.11
resnetv2_152x2_bit_teacher,87.1,364.899,32,224,236.34
vit_large_patch14_224,84.6,565.739,48,224,304.2
regnetz_d8_evos,83.97,379.015,32,320,23.46
beit_base_patch16_384,82.88,385.038,32,384,86.74
xcit_small_24_p8_224_dist,82.62,383.85,32,224,47.63
xcit_small_24_p8_224,82.5,384.488,32,224,47.63
resnest200e,79.64,597.77,48,320,70.2
tresnet_xl_448,77.44,1236.244,96,448,78.44
xcit_medium_24_p16_384_dist,76.61,414.275,32,384,84.4
vit_large_r50_s32_384,76.27,417.132,32,384,329.09
swin_base_patch4_window12_384,73.39,434.11,32,384,87.9
nfnet_f2,71.5,668.121,48,352,193.78
resmlp_big_24_224_in22ft1k,68.15,468.085,32,224,129.14
resmlp_big_24_224,68.13,468.141,32,224,129.14
resmlp_big_24_distilled_224,68.08,468.542,32,224,129.14
pnasnet5large,66.87,474.686,32,331,86.06
swin_v2_cr_small_384,66.28,359.629,24,384,49.7
nasnetalarge,65.59,482.923,32,331,88.75
cait_xs24_384,65.34,487.167,32,384,26.67
dm_nfnet_f2,64.55,740.206,48,352,193.78
cait_xxs36_384,62.84,505.392,32,384,17.37
vit_base_patch8_224,62.83,381.142,24,224,86.58
convnext_large_384_in22ft1k,61.61,517.714,32,384,197.77
ecaresnet269d,61.52,515.695,32,352,102.09
volo_d5_224,61.49,517.153,32,224,295.46
xcit_tiny_24_p8_384_dist,60.46,525.849,32,384,12.11
xcit_medium_24_p8_224,59.24,536.775,32,224,84.32
xcit_medium_24_p8_224_dist,59.23,536.852,32,224,84.32
vit_base_resnet50_384,58.93,405.608,24,384,98.95
vit_base_r50_s16_384,58.91,405.68,24,384,98.95
resnetrs270,58.9,537.38,32,352,129.86
xcit_small_12_p8_384_dist,56.03,426.632,24,384,26.21
volo_d2_384,55.33,287.363,16,384,58.87
ig_resnext101_32x32d,52.68,605.908,32,224,468.53
eca_nfnet_l3,50.62,628.636,32,448,72.04
convmixer_1536_20,49.63,966.338,48,224,51.63
cait_s24_384,49.12,486.034,24,384,47.06
efficientnet_b6,48.5,327.112,16,528,43.04
tf_efficientnet_b6_ns,48.02,330.391,16,528,43.04
tf_efficientnet_b6_ap,47.83,331.608,16,528,43.04
tf_efficientnet_b6,47.78,331.966,16,528,43.04
efficientnetv2_l,47.17,334.927,16,480,118.52
swin_v2_cr_base_384,47.07,337.445,16,384,87.88
tf_efficientnetv2_l_in21ft1k,46.85,337.127,16,480,118.52
tf_efficientnetv2_l,46.53,339.329,16,480,118.52
swin_v2_cr_huge_224,46.2,343.813,16,224,657.83
xcit_large_24_p16_384_dist,44.95,530.527,24,384,189.1
swin_large_patch4_window12_384,41.24,386.07,16,384,196.74
vit_huge_patch14_224,39.65,401.44,16,224,632.05
resnetrs350,37.15,638.194,24,384,163.96
convnext_xlarge_384_in22ft1k,36.94,431.409,16,384,350.2
nfnet_f3,35.43,673.367,24,416,254.92
resnest269e,33.7,705.124,24,416,110.93
xcit_large_24_p8_224_dist,33.34,476.606,16,224,188.93
xcit_large_24_p8_224,33.33,476.71,16,224,188.93
dm_nfnet_f3,32.28,738.882,24,416,254.92
resnetv2_50x3_bitm,31.96,499.813,16,448,217.32
cait_s36_384,31.71,500.682,16,384,68.37
resnetv2_152x2_bit_teacher_384,31.41,506.876,16,384,236.34
tf_efficientnetv2_xl_in21ft1k,31.07,380.33,12,512,208.12
efficientnetv2_xl,30.57,386.62,12,512,208.12
efficientnet_b7,30.54,258.47,8,600,66.35
tf_efficientnet_b7,30.24,261.049,8,600,66.35
tf_efficientnet_b7_ap,30.18,261.545,8,600,66.35
tf_efficientnet_b7_ns,30.17,261.527,8,600,66.35
vit_large_patch16_384,29.1,410.723,12,384,304.72
xcit_small_24_p8_384_dist,28.47,558.499,16,384,47.63
swin_v2_cr_large_384,28.33,421.122,12,384,196.68
ig_resnext101_32x48d,27.82,573.581,16,224,828.41
resnetrs420,25.59,615.408,16,416,191.89
beit_large_patch16_384,24.96,478.806,12,384,305.0
volo_d3_448,23.79,333.801,8,448,86.63
vit_giant_patch14_224,22.41,354.342,8,224,1012.61
resnetv2_152x2_bitm,21.79,364.675,8,448,236.34
xcit_medium_24_p8_384_dist,19.42,408.574,8,384,84.32
nfnet_f4,18.89,630.122,12,512,316.07
resnetv2_101x3_bitm,17.61,452.554,8,448,387.93
dm_nfnet_f4,17.17,693.324,12,512,316.07
volo_d4_448,16.84,353.766,6,448,193.41
efficientnet_b8,14.4,412.697,6,672,87.41
tf_efficientnet_b8_ap,14.32,415.19,6,672,87.41
tf_efficientnet_b8,14.24,417.31,6,672,87.41
nfnet_f5,12.31,643.8,8,544,377.21
cait_m36_384,11.75,507.058,6,384,271.22
xcit_large_24_p8_384_dist,11.36,524.55,6,384,188.93
dm_nfnet_f5,11.21,706.654,8,544,377.21
volo_d5_448,11.01,359.686,4,448,295.91
swin_v2_cr_huge_384,10.89,364.734,4,384,657.94
tf_efficientnet_l2_ns_475,10.43,377.703,4,475,480.31
nfnet_f6,10.18,778.679,8,576,438.36
beit_large_patch16_512,9.37,425.057,4,512,305.67
dm_nfnet_f6,8.56,692.978,6,576,438.36
volo_d5_512,7.76,383.588,3,512,296.09
nfnet_f7,7.54,787.101,6,608,499.5
cait_m48_448,4.71,419.695,2,448,356.46
resnetv2_152x4_bitm,4.53,438.64,2,480,936.53
tf_efficientnet_l2_ns,2.96,331.907,1,800,480.31
efficientnet_l2,2.92,336.419,1,800,480.31
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 tinynet_e 9380.97 53.881 512 106 2.04
3 mobilenetv3_small_050 7276.68 69.643 512 224 1.59
4 tf_mobilenetv3_small_minimal_100 6334.14 80.291 512 224 2.04
5 mobilenetv3_small_075 5920.21 85.765 512 224 2.04
6 lcnet_035 5760.61 88.397 512 224 1.64
7 mobilenetv3_small_100 5583.48 90.99 512 224 2.54
8 tf_mobilenetv3_small_075 5569.37 91.204 512 224 2.04
9 levit_128s 5426.95 93.402 512 224 7.78
10 lcnet_050 5425.23 93.895 512 224 1.88
11 tf_mobilenetv3_small_100 5275.47 96.328 512 224 2.54
12 tinynet_d 4879.29 104.179 512 152 2.34
13 mixer_s32_224 4491.84 113.42 512 224 19.1
14 vit_small_patch32_224 4321.32 117.658 512 224 22.88
15 lcnet_075 4147.31 122.971 512 224 2.36
16 levit_128 3971.6 127.764 512 224 9.21
17 vit_tiny_r_s16_p8_224 3957.53 128.516 512 224 6.34
18 lcnet_100 3524.02 144.807 512 224 2.95
19 mnasnet_small 3488.23 145.878 512 224 2.03
20 levit_192 3436.74 147.842 512 224 10.95
21 regnetx_002 3423.6 148.87 512 224 2.68
22 regnety_002 3178.35 160.128 512 224 3.16
23 mobilenetv2_035 3069.55 166.033 512 224 1.68
24 gernet_s 2949.06 172.893 512 224 8.17
25 mnasnet_050 2821.34 180.673 512 224 2.22
26 ssl_resnet18 2720.94 187.823 512 224 11.69
27 swsl_resnet18 2720.55 187.842 512 224 11.69
28 gluon_resnet18_v1b 2718.42 187.998 512 224 11.69
29 resnet18 2711.83 188.459 512 224 11.69
30 semnasnet_050 2700.91 188.67 512 224 2.08
31 tinynet_c 2654.89 191.851 512 184 2.46
32 mobilenetv2_050 2650.81 192.34 512 224 1.97
33 levit_256 2620.65 194.218 512 224 18.89
34 lcnet_150 2613.69 195.4 512 224 4.5
35 regnetx_004 2532.79 201.109 512 224 5.16
36 seresnet18 2519.64 202.716 512 224 11.78
37 legacy_seresnet18 2461.74 207.479 512 224 11.78
38 ese_vovnet19b_slim_dw 2456.97 207.908 512 224 1.9
39 mobilenetv3_large_075 2342.92 217.677 512 224 3.99
40 tf_mobilenetv3_large_minimal_100 2311.18 220.824 512 224 3.92
41 vit_tiny_patch16_224 2249.49 226.757 512 224 5.72
42 levit_256d 2248.95 226.128 512 224 26.21
43 deit_tiny_patch16_224 2244.74 227.248 512 224 5.72
44 tf_mobilenetv3_large_075 2222.25 229.522 512 224 3.99
45 deit_tiny_distilled_patch16_224 2207.23 231.107 512 224 5.91
46 ghostnet_050 2193.43 232.046 512 224 2.59
47 mnasnet_075 2163.05 235.897 512 224 3.17
48 mobilenetv3_rw 2147.03 237.6 512 224 5.48
49 mobilenetv3_large_100_miil 2135.44 238.882 512 224 5.48
50 mobilenetv3_large_100 2134.66 238.979 512 224 5.48
51 resnet18d 2086.64 244.99 512 224 11.71
52 pit_ti_distilled_224 2085.77 244.59 512 224 5.1
53 pit_ti_224 2083.57 244.847 512 224 4.85
54 hardcorenas_a 2050.08 249.015 512 224 5.26
55 regnetx_006 2048.56 249.103 512 224 6.2
56 tf_mobilenetv3_large_100 2046.24 249.335 512 224 5.48
57 ese_vovnet19b_slim 1997.73 255.915 512 224 3.17
58 mnasnet_100 1996.94 255.609 512 224 4.38
59 mnasnet_b1 1993.53 256.025 512 224 4.38
60 xcit_nano_12_p16_224_dist 1946.62 261.255 512 224 3.05
61 xcit_nano_12_p16_224 1946.1 261.308 512 224 3.05
62 semnasnet_075 1927.77 264.67 512 224 2.91
63 hardcorenas_b 1912.19 266.758 512 224 5.18
64 mobilenetv2_075 1888.29 270.368 512 224 2.64
65 hardcorenas_c 1885.12 270.645 512 224 5.52
66 tf_efficientnetv2_b0 1880.38 271.08 512 224 7.14
67 tinynet_b 1857.15 274.614 512 188 3.73
68 regnety_004 1855.83 274.756 512 224 4.34
69 resnetblur18 1846.1 276.978 512 224 11.69
70 regnety_006 1808.76 282.043 512 224 6.06
71 hardcorenas_d 1808.52 281.873 512 224 7.5
72 mnasnet_a1 1796.84 284.044 512 224 3.89
73 semnasnet_100 1784.41 286.019 512 224 3.89
74 spnasnet_100 1782.41 286.288 512 224 4.42
75 skresnet18 1776.65 287.57 512 224 11.96
76 mobilenetv2_100 1761.25 289.902 512 224 3.5
77 mixer_b32_224 1711.23 298.43 512 224 60.29
78 regnetx_008 1669.43 305.887 512 224 7.26
79 levit_384 1662.81 306.81 512 224 39.13
80 vit_base_patch32_224 1658.09 307.969 512 224 88.22
81 vit_base_patch32_224_sam 1657.82 308.015 512 224 88.22
82 efficientnet_lite0 1636.56 312.086 512 224 4.65
83 visformer_tiny 1629.51 313.524 512 224 10.32
84 gluon_resnet34_v1b 1626.25 314.261 512 224 21.8
85 resnet34 1624.32 314.625 512 224 21.8
86 tv_resnet34 1622.42 314.985 512 224 21.8
87 ghostnet_100 1610.26 316.618 512 224 5.18
88 hardcorenas_f 1606.37 317.568 512 224 8.2
89 pit_xs_distilled_224 1596.23 319.885 512 224 11.0
90 pit_xs_224 1595.39 320.023 512 224 10.62
91 hardcorenas_e 1595.11 319.841 512 224 8.07
92 tinynet_a 1592.8 320.187 512 192 6.19
93 resmlp_12_distilled_224 1562.43 326.888 512 224 15.35
94 resmlp_12_224 1562.2 326.933 512 224 15.35
95 regnety_008 1550.03 329.315 512 224 6.26
96 tf_efficientnet_lite0 1547.08 330.18 512 224 4.65
97 mixer_s16_224 1538.34 332.27 512 224 18.53
98 fbnetc_100 1532.35 333.142 512 224 5.57
99 seresnet34 1494.24 341.776 512 224 21.96
100 mnasnet_140 1493.96 341.916 512 224 7.12
101 nf_regnet_b0 1481.15 344.453 512 256 8.76
102 legacy_seresnet34 1458.06 350.271 512 224 21.96
103 gmixer_12_224 1449.53 352.403 512 224 12.7
104 gernet_m 1442.79 354.129 512 224 21.14
105 ese_vovnet19b_dw 1440.24 354.984 512 224 6.54
106 vit_small_patch32_384 1423.05 358.931 512 384 22.92
107 nf_resnet26 1422.6 359.386 512 224 16.0
108 efficientnet_b0 1413.79 270.572 384 224 5.29
109 dla46_c 1408.04 362.893 512 224 1.3
110 rexnetr_100 1385.71 275.935 384 224 4.88
111 mobilenetv2_110d 1384.57 276.313 384 224 4.52
112 rexnet_100 1381.06 276.903 384 224 4.8
113 vit_tiny_r_s16_p8_384 1371.38 279.143 384 384 6.36
114 ghostnet_130 1367.64 372.982 512 224 7.36
115 resnet34d 1367.17 373.876 512 224 21.82
116 tf_efficientnet_b0 1353.9 282.522 384 224 5.29
117 tf_efficientnet_b0_ap 1353.18 282.683 384 224 5.29
118 tf_efficientnet_b0_ns 1352.63 282.744 384 224 5.29
119 selecsls42 1349.71 378.706 512 224 30.35
120 selecsls42b 1347.34 379.337 512 224 32.46
121 gmlp_ti16_224 1340.35 284.915 384 224 5.87
122 regnetz_005 1326.54 384.587 512 224 7.12
123 crossvit_tiny_240 1322.74 385.447 512 240 7.01
124 resnet26 1321.4 386.974 512 224 16.0
125 semnasnet_140 1315.96 388.179 512 224 6.11
126 xcit_tiny_12_p16_224 1309.91 389.1 512 224 6.72
127 xcit_tiny_12_p16_224_dist 1303.81 390.894 512 224 6.72
128 hrnet_w18_small 1302.26 391.765 512 224 13.19
129 efficientnet_b1_pruned 1277.21 399.368 512 240 6.33
130 mobilevit_xxs 1270.89 301.046 384 256 1.27
131 mobilenetv2_140 1250.7 306.236 384 224 6.11
132 poolformer_s12 1245.33 410.466 512 224 11.92
133 crossvit_9_240 1236.49 309.127 384 240 8.55
134 nf_seresnet26 1207.14 423.49 512 224 17.4
135 tf_efficientnetv2_b1 1198.02 319.027 384 240 8.14
136 repvgg_b0 1184.29 431.28 512 224 15.82
137 crossvit_9_dagger_240 1177.9 324.572 384 240 8.78
138 selecsls60 1152.93 443.193 512 224 30.67
139 mixnet_s 1150.64 443.717 512 224 4.13
140 selecsls60b 1149.12 444.678 512 224 32.77
141 efficientnet_es 1142.77 447.293 512 224 5.44
142 efficientnet_es_pruned 1141.22 447.892 512 224 5.44
143 nf_ecaresnet26 1137.4 449.596 512 224 16.0
144 resnet26d 1125.5 454.383 512 224 16.01
145 tf_efficientnet_es 1120.47 456.18 512 224 5.44
146 efficientnet_lite1 1109.69 229.723 256 240 5.42
147 rexnetr_130 1097.15 232.191 256 224 7.61
148 tf_mixnet_s 1090.03 468.412 512 224 4.13
149 convit_tiny 1087.94 469.614 512 224 5.71
150 convnext_nano_hnf 1075.51 356.223 384 224 15.59
151 dla34 1072.51 476.787 512 224 15.74
152 tf_efficientnet_lite1 1061.0 240.288 256 240 5.42
153 dla46x_c 1058.5 482.972 512 224 1.07
154 rexnet_130 1051.04 242.43 256 224 7.56
155 regnetx_016 1042.11 490.415 512 224 9.19
156 mobilenetv2_120d 1036.53 245.787 256 224 5.83
157 skresnet34 1033.13 494.425 512 224 22.28
158 vit_small_patch16_224 1032.86 370.943 384 224 22.05
159 deit_small_patch16_224 1031.61 371.386 384 224 22.05
160 deit_small_distilled_patch16_224 1011.7 378.721 384 224 22.44
161 dla60x_c 1011.12 505.401 512 224 1.32
162 ecaresnet50d_pruned 1009.57 506.231 512 224 19.94
163 gernet_l 1007.43 507.303 512 256 31.08
164 efficientnet_b0_g16_evos 992.51 385.814 384 224 8.11
165 rexnetr_150 973.93 261.684 256 224 9.78
166 vit_base2_patch32_256 970.35 526.818 512 256 119.46
167 pit_s_distilled_224 963.9 264.693 256 224 24.04
168 pit_s_224 963.25 264.885 256 224 23.46
169 fbnetv3_b 936.5 408.4 384 256 8.6
170 rexnet_150 934.54 272.774 256 224 9.73
171 repvgg_a2 931.84 548.616 512 224 28.21
172 legacy_seresnext26_32x4d 930.69 411.955 384 224 16.79
173 regnety_016 921.99 553.558 512 224 11.2
174 resnest14d 909.12 562.716 512 224 10.61
175 efficientnet_cc_b0_4e 892.75 428.931 384 224 13.31
176 efficientnet_cc_b0_8e 889.3 430.599 384 224 24.01
177 coat_lite_tiny 885.61 432.738 384 224 5.72
178 nf_regnet_b1 883.44 578.138 512 288 10.22
179 resnetv2_50 883.05 579.001 512 224 25.55
180 resnext26ts 882.89 434.405 384 256 10.3
181 resnet26t 880.13 581.227 512 256 16.01
182 tf_efficientnetv2_b2 877.18 290.276 256 260 10.1
183 fbnetv3_d 875.63 290.586 256 256 10.31
184 nf_regnet_b2 875.24 583.366 512 272 14.31
185 tf_efficientnet_cc_b0_4e 872.5 438.913 384 224 13.31
186 tf_efficientnet_cc_b0_8e 867.49 441.45 384 224 24.01
187 efficientnet_b0_gn 860.35 296.448 256 224 5.29
188 eca_resnext26ts 852.81 299.643 256 256 10.3
189 seresnext26ts 848.06 301.17 256 256 10.39
190 botnet26t_256 835.32 459.139 384 256 12.49
191 gluon_resnet50_v1b 835.19 458.946 384 224 25.56
192 twins_svt_small 835.02 458.264 384 224 24.06
193 swsl_resnet50 834.38 459.391 384 224 25.56
194 resnet50 833.17 460.051 384 224 25.56
195 tf_efficientnet_b1_ap 832.71 305.903 256 240 7.79
196 tf_efficientnet_b1 832.37 306.044 256 240 7.79
197 tf_efficientnet_b1_ns 831.62 306.366 256 240 7.79
198 tv_resnet50 831.54 460.947 384 224 25.56
199 efficientnet_b2_pruned 831.45 306.38 256 260 8.31
200 seresnext26tn_32x4d 831.09 461.371 384 224 16.81
201 seresnext26d_32x4d 830.66 461.598 384 224 16.81
202 gcresnext26ts 830.6 307.372 256 256 10.48
203 seresnext26t_32x4d 830.1 461.943 384 224 16.81
204 ssl_resnet50 828.96 462.397 384 224 25.56
205 coat_lite_mini 825.96 464.063 384 224 11.01
206 vgg11 818.58 625.301 512 224 132.86
207 halonet26t 813.08 471.69 384 256 12.48
208 vit_small_resnet26d_224 812.32 471.613 384 224 63.61
209 eca_botnext26ts_256 804.88 317.468 256 256 10.59
210 efficientnet_lite2 800.14 318.978 256 260 6.09
211 efficientnet_b1 797.8 319.366 256 256 7.79
212 resnetv2_50t 793.9 644.111 512 224 25.57
213 ecaresnext26t_32x4d 792.87 483.752 384 224 15.41
214 ecaresnext50t_32x4d 790.88 484.99 384 224 15.41
215 resnetv2_50d 790.5 646.873 512 224 25.57
216 tresnet_m 787.27 647.568 512 224 31.39
217 convnext_tiny 782.73 326.109 256 224 28.59
218 eca_halonext26ts 781.32 327.03 256 256 10.76
219 vovnet39a 779.14 656.53 512 224 22.6
220 ecaresnet101d_pruned 778.75 655.702 512 224 24.88
221 mixnet_m 778.63 491.619 384 224 5.01
222 cspresnet50 774.32 495.068 384 256 21.62
223 tf_efficientnet_lite2 771.04 331.043 256 260 6.09
224 gluon_resnet50_v1c 769.5 498.184 384 224 25.58
225 ecaresnetlight 767.59 666.098 512 224 30.16
226 resmlp_24_224 766.31 332.575 256 224 30.02
227 resmlp_24_distilled_224 766.21 332.58 256 224 30.02
228 cspresnext50 765.28 500.93 384 224 20.57
229 resnet50t 753.13 509.003 384 224 25.57
230 resnet50d 752.95 509.12 384 224 25.58
231 gluon_resnet50_v1d 752.94 509.122 384 224 25.58
232 legacy_seresnet50 751.28 510.001 384 224 28.09
233 mobilevit_xs 751.23 339.638 256 256 2.32
234 tf_mixnet_m 748.19 511.684 384 224 5.01
235 ese_vovnet39b 748.06 683.786 512 224 24.57
236 resnet32ts 744.11 343.453 256 256 17.96
237 visformer_small 743.29 515.928 384 224 40.22
238 dpn68b 737.5 519.461 384 224 12.61
239 selecsls84 735.99 694.378 512 224 50.95
240 resnet33ts 732.63 348.809 256 256 19.68
241 nf_seresnet50 732.06 523.375 384 224 28.09
242 rexnetr_200 724.64 263.786 192 224 16.52
243 lambda_resnet26t 724.61 529.342 384 256 10.96
244 seresnet50 722.32 530.5 384 224 28.09
245 dpn68 721.48 531.095 384 224 12.61
246 res2net50_48w_2s 717.64 534.245 384 224 25.29
247 gmixer_24_224 717.31 355.331 256 224 24.72
248 eca_resnet33ts 712.11 358.824 256 256 19.68
249 seresnet33ts 709.27 360.12 256 256 19.78
250 bat_resnext26ts 708.45 360.137 256 256 10.73
251 rexnet_200 703.57 271.754 192 224 16.37
252 resnetblur50 702.19 546.026 384 224 25.56
253 cspresnet50d 701.76 546.305 384 256 21.64
254 vgg11_bn 698.67 549.368 384 224 132.87
255 twins_pcpvt_small 698.21 364.986 256 224 24.11
256 eca_vovnet39b 697.82 733.074 512 224 22.6
257 efficientnet_em 694.64 551.807 384 240 6.9
258 dla60 693.8 552.499 384 224 22.04
259 tf_efficientnet_em 692.96 368.419 256 240 6.9
260 cspresnet50w 692.76 553.433 384 256 28.12
261 resnest26d 688.5 556.976 384 224 17.07
262 gcresnet33ts 687.02 371.584 256 256 19.88
263 tv_densenet121 686.65 371.007 256 224 7.98
264 densenet121 686.51 371.091 256 224 7.98
265 vit_small_r26_s32_224 685.79 371.994 256 224 36.43
266 convnext_tiny_hnf 683.74 373.449 256 224 28.59
267 xcit_nano_12_p16_384_dist 682.7 373.202 256 384 3.05
268 xcit_tiny_24_p16_224_dist 681.26 372.348 256 224 12.12
269 lambda_resnet26rpt_256 679.63 281.896 192 256 10.99
270 xcit_tiny_24_p16_224 679.38 373.443 256 224 12.12
271 vit_base_resnet26d_224 679.21 563.967 384 224 101.4
272 resnetaa50d 678.8 564.84 384 224 25.58
273 nf_ecaresnet50 673.73 568.984 384 224 25.56
274 hrnet_w18_small_v2 672.52 758.874 512 224 15.6
275 gluon_resnet50_v1s 671.98 570.574 384 224 25.68
276 efficientnet_b0_g8_gn 661.67 385.796 256 224 6.56
277 seresnet50t 659.6 581.03 384 224 28.1
278 efficientnet_b3_pruned 657.34 387.781 256 300 9.86
279 haloregnetz_b 656.48 388.419 256 224 11.68
280 tv_resnext50_32x4d 651.27 588.791 384 224 25.03
281 swsl_resnext50_32x4d 651.11 588.925 384 224 25.03
282 gluon_resnext50_32x4d 650.97 589.059 384 224 25.03
283 ssl_resnext50_32x4d 650.9 589.136 384 224 25.03
284 resnext50_32x4d 649.99 589.957 384 224 25.03
285 resnetrs50 648.71 590.781 384 224 35.69
286 densenet121d 646.33 394.275 256 224 8.0
287 regnetx_032 643.77 595.296 384 224 15.3
288 resnetblur50d 642.77 397.429 256 224 25.58
289 res2net50_26w_4s 636.71 601.86 384 224 25.7
290 swin_tiny_patch4_window7_224 635.13 402.044 256 224 28.29
291 skresnet50 634.96 603.369 384 224 25.8
292 poolformer_s24 634.53 402.132 256 224 21.39
293 gmlp_s16_224 632.58 301.939 192 224 19.42
294 ese_vovnet57b 632.35 606.334 384 224 38.61
295 crossvit_small_240 625.73 407.457 256 240 26.86
296 xcit_small_12_p16_224_dist 625.08 407.723 256 224 26.25
297 xcit_small_12_p16_224 624.67 407.992 256 224 26.25
298 densenetblur121d 617.78 412.569 256 224 8.0
299 ecaresnet50d 612.94 625.548 384 224 25.58
300 tf_efficientnet_b2_ns 610.27 313.114 192 260 9.11
301 tf_efficientnet_b2_ap 610.1 313.168 192 260 9.11
302 tf_efficientnet_b2 609.89 313.274 192 260 9.11
303 mixnet_l 603.6 634.707 384 224 7.33
304 gluon_inception_v3 601.71 636.771 384 299 23.83
305 inception_v3 601.07 637.475 384 299 23.83
306 adv_inception_v3 601.02 637.509 384 299 23.83
307 tf_inception_v3 600.65 637.912 384 299 23.83
308 sehalonet33ts 599.96 425.883 256 256 13.69
309 seresnetaa50d 599.53 425.823 256 224 28.11
310 resnext50d_32x4d 598.58 426.825 256 224 25.05
311 mobilevit_s 596.24 320.895 192 256 5.58
312 resnetv2_50x1_bit_distilled 588.8 325.252 192 224 25.55
313 gcresnet50t 583.98 436.858 256 256 25.9
314 skresnet50d 583.54 437.238 256 224 25.82
315 swin_s3_tiny_224 576.57 442.971 256 224 28.33
316 seresnext50_32x4d 576.37 443.036 256 224 27.56
317 gluon_seresnext50_32x4d 576.3 443.051 256 224 27.56
318 tf_mixnet_l 576.22 442.743 256 224 7.33
319 legacy_seresnext50_32x4d 575.52 443.681 256 224 27.56
320 res2next50 575.07 443.835 256 224 24.67
321 repvgg_b1g4 572.25 893.649 512 224 39.97
322 cspresnext50_iabn 572.06 669.169 384 256 20.57
323 convnext_tiny_hnfd 570.41 447.777 256 224 28.63
324 res2net50_14w_8s 569.05 447.639 256 224 25.06
325 resnest50d_1s4x24d 568.93 448.655 256 224 25.68
326 cait_xxs24_224 568.71 447.7 256 224 11.96
327 crossvit_15_240 567.12 336.74 192 240 27.53
328 semobilevit_s 566.94 337.375 192 256 5.74
329 densenet169 563.82 451.519 256 224 14.15
330 efficientnet_b2 561.37 340.497 192 288 9.11
331 efficientnet_cc_b1_8e 559.34 455.785 256 240 39.72
332 efficientnet_b2a 558.58 342.255 192 288 9.11
333 darknet53 556.85 458.909 256 256 41.61
334 dla60_res2net 555.54 459.405 256 224 20.85
335 dla60x 553.4 461.598 256 224 17.35
336 mixer_b16_224 552.46 462.598 256 224 59.88
337 nf_resnet101 550.61 695.793 384 224 44.55
338 tf_efficientnet_cc_b1_8e 549.81 463.949 256 240 39.72
339 regnetx_040 549.5 697.703 384 224 22.12
340 mixer_b16_224_miil 549.25 465.267 256 224 59.88
341 crossvit_15_dagger_240 547.66 348.734 192 240 28.21
342 nf_regnet_b3 547.65 465.691 256 320 18.59
343 vovnet57a 547.59 934.12 512 224 36.64
344 resnetv2_101 544.49 468.639 256 224 44.54
345 xcit_nano_12_p8_224 542.16 470.425 256 224 3.05
346 xcit_nano_12_p8_224_dist 541.55 470.928 256 224 3.05
347 tf_efficientnetv2_b3 541.54 352.751 192 300 14.36
348 sebotnet33ts_256 540.04 236.225 128 256 13.7
349 gcresnext50ts 538.97 354.583 192 256 15.67
350 nf_resnet50 536.27 715.168 384 288 25.56
351 resnet50_gn 532.97 359.41 192 224 25.56
352 vit_base_r26_s32_224 532.84 359.064 192 224 101.38
353 vit_base_patch32_384 531.15 481.156 256 384 88.3
354 efficientnetv2_rw_t 527.04 362.193 192 288 13.65
355 resnet101 526.31 484.87 256 224 44.55
356 gluon_resnet101_v1b 525.74 485.353 256 224 44.55
357 tv_resnet101 523.69 487.267 256 224 44.55
358 vit_large_patch32_224 515.11 495.389 256 224 306.54
359 vit_base_resnet50d_224 514.44 495.989 256 224 110.97
360 mixer_l32_224 507.93 376.544 192 224 206.94
361 resnetv2_101d 506.46 503.899 256 224 44.56
362 swin_v2_cr_tiny_224 505.66 378.391 192 224 28.33
363 vit_tiny_patch16_384 505.36 252.456 128 384 5.79
364 resmlp_36_224 505.0 378.005 192 224 44.69
365 resmlp_36_distilled_224 504.83 378.088 192 224 44.69
366 swin_v2_cr_tiny_ns_224 503.02 380.384 192 224 28.33
367 repvgg_b1 501.28 1020.314 512 224 57.42
368 dla60_res2next 500.08 510.484 256 224 17.03
369 gluon_resnet101_v1c 498.53 511.943 256 224 44.57
370 wide_resnet50_2 491.97 779.7 384 224 68.88
371 gluon_resnet101_v1d 491.71 519.004 256 224 44.57
372 resnest50d 484.85 526.671 256 224 27.48
373 vgg13 482.75 795.25 384 224 133.05
374 cspdarknet53 481.82 530.306 256 256 27.64
375 gc_efficientnetv2_rw_t 480.93 396.503 192 288 13.68
376 convnext_small 478.98 399.137 192 224 50.22
377 efficientnet_lite3 478.82 266.239 128 300 8.2
378 ecaresnet26t 478.49 534.465 256 320 16.01
379 nest_tiny 477.21 267.341 128 224 17.06
380 regnetz_b16 476.53 401.488 192 288 9.72
381 dla102 475.31 537.042 256 224 33.27
382 cspdarknet53_iabn 474.61 806.628 384 256 27.64
383 res2net50_26w_6s 474.4 537.903 256 224 37.05
384 jx_nest_tiny 469.53 271.701 128 224 17.06
385 twins_pcpvt_base 465.48 409.697 192 224 43.83
386 vgg13_bn 465.35 549.842 256 224 133.05
387 halonet50ts 463.11 413.595 192 256 22.73
388 regnetx_080 462.29 829.538 384 224 39.57
389 lambda_resnet50ts 461.63 414.909 192 256 21.54
390 coat_lite_small 461.47 414.609 192 224 19.84
391 legacy_seresnet101 460.47 553.804 256 224 49.33
392 vgg16 459.25 557.204 256 224 138.36
393 tf_efficientnet_lite3 458.84 277.849 128 300 8.2
394 resnetaa101d 458.35 556.916 256 224 44.57
395 gluon_resnet101_v1s 456.37 559.352 256 224 44.67
396 xcit_tiny_12_p16_384_dist 451.6 423.4 192 384 6.72
397 seresnet101 447.82 569.466 256 224 49.33
398 densenet201 447.49 426.067 192 224 20.01
399 mixnet_xl 447.09 570.692 256 224 11.9
400 nf_seresnet101 444.89 573.162 256 224 49.33
401 convit_small 441.84 433.517 192 224 27.78
402 resnetblur101d 441.53 578.26 256 224 44.57
403 nfnet_l0 426.47 599.103 256 288 35.07
404 skresnext50_32x4d 424.37 601.881 256 224 27.48
405 poolformer_s36 424.29 450.68 192 224 30.86
406 botnet50ts_256 421.6 302.649 128 256 22.74
407 halo2botnet50ts_256 418.8 457.379 192 256 22.64
408 gluon_resnext101_32x4d 418.26 610.512 256 224 44.18
409 resnext101_32x4d 417.6 611.486 256 224 44.18
410 ssl_resnext101_32x4d 417.52 611.578 256 224 44.18
411 swsl_resnext101_32x4d 417.45 611.654 256 224 44.18
412 fbnetv3_g 415.62 305.885 128 288 16.62
413 twins_svt_base 413.84 461.835 192 224 56.07
414 ese_vovnet39b_evos 413.01 308.979 128 224 24.58
415 res2net101_26w_4s 405.25 629.29 256 224 45.21
416 eca_nfnet_l0 404.73 631.533 256 288 24.14
417 tresnet_l 403.54 1265.42 512 224 55.99
418 lamhalobotnet50ts_256 403.43 474.897 192 256 22.57
419 volo_d1_224 400.45 478.074 192 224 26.63
420 crossvit_18_240 400.32 317.735 128 240 43.27
421 resnet51q 397.98 481.556 192 288 35.7
422 nf_ecaresnet101 396.22 644.266 256 224 44.55
423 dla102x 392.86 487.139 192 224 26.31
424 vit_base_patch16_224_miil 392.0 489.026 192 224 86.54
425 swin_small_patch4_window7_224 391.85 488.136 192 224 49.61
426 regnety_032 391.81 651.958 256 288 19.44
427 regnetx_064 390.82 654.137 256 224 26.21
428 res2net50_26w_8s 389.26 655.478 256 224 48.4
429 vgg16_bn 388.47 658.66 256 224 138.37
430 deit_base_patch16_224 386.56 495.833 192 224 86.57
431 crossvit_18_dagger_240 386.08 329.466 128 240 44.27
432 vit_base_patch16_224 385.82 496.783 192 224 86.57
433 resnest50d_4s2x40d 385.78 662.242 256 224 30.42
434 xception 384.95 331.72 128 299 22.86
435 vit_base_patch16_224_sam 384.94 497.961 192 224 86.57
436 ecaresnet101d 381.61 669.061 256 224 44.57
437 deit_base_distilled_patch16_224 379.86 504.583 192 224 87.34
438 resnetv2_152 379.0 673.236 256 224 60.19
439 repvgg_b2g4 377.95 1353.629 512 224 61.76
440 ese_vovnet99b 373.94 683.067 256 224 63.2
441 vit_small_resnet50d_s16_224 373.61 512.677 192 224 57.53
442 cait_xxs36_224 371.71 512.777 192 224 17.3
443 resnet152 371.52 514.561 192 224 60.19
444 tv_resnet152 371.15 515.007 192 224 60.19
445 gluon_resnet152_v1b 368.93 518.118 192 224 60.19
446 gluon_seresnext101_32x4d 368.19 519.228 192 224 48.96
447 seresnext101_32x4d 367.5 520.242 192 224 48.96
448 nfnet_f0 366.97 696.402 256 256 71.49
449 legacy_seresnext101_32x4d 366.06 522.375 192 224 48.96
450 tf_efficientnet_b3_ap 364.58 349.402 128 300 12.23
451 tf_efficientnet_b3_ns 364.49 349.53 128 300 12.23
452 tf_efficientnet_b3 364.34 349.633 128 300 12.23
453 resnetv2_152d 361.2 529.264 192 224 60.2
454 resnet61q 358.48 356.024 128 288 36.85
455 resnetv2_50d_frn 357.45 356.923 128 224 25.59
456 ese_vovnet99b_iabn 357.31 1071.637 384 224 63.2
457 gluon_resnet152_v1c 355.88 537.206 192 224 60.21
458 hrnet_w18 355.73 714.824 256 224 21.3
459 efficientnet_b3 355.08 358.849 128 320 12.23
460 efficientnet_b3a 354.83 359.115 128 320 12.23
461 regnety_040 354.78 539.617 192 288 20.65
462 beit_base_patch16_224 353.55 541.973 192 224 86.53
463 gluon_resnet152_v1d 353.52 540.757 192 224 60.21
464 regnety_040s_gn 353.11 360.919 128 224 20.65
465 vgg19 352.0 1090.659 384 224 143.67
466 xcit_tiny_12_p8_224 351.32 362.59 128 224 6.71
467 xcit_tiny_12_p8_224_dist 351.06 362.838 128 224 6.71
468 xception41p 343.38 371.913 128 299 26.91
469 regnetv_040 342.33 372.402 128 288 20.64
470 tnt_s_patch16_224 339.73 563.196 192 224 23.76
471 repvgg_b2 339.2 1508.352 512 224 89.02
472 vgg19_bn 336.08 761.352 256 224 143.68
473 gluon_resnet152_v1s 334.98 570.781 192 224 60.32
474 densenet161 332.41 382.595 128 224 28.68
475 dm_nfnet_f0 331.82 770.266 256 256 71.49
476 dla169 331.14 577.405 192 224 53.39
477 resnetv2_50d_gn 330.91 385.985 128 288 25.57
478 convnext_base_in22ft1k 328.04 388.471 128 224 88.59
479 convnext_tiny_in22ft1k 327.7 388.845 128 224 88.59
480 convnext_small_in22ft1k 326.36 390.508 128 224 88.59
481 convnext_base 325.78 391.109 128 224 88.59
482 xcit_small_24_p16_224_dist 322.26 393.856 128 224 47.67
483 xcit_small_24_p16_224 321.22 395.027 128 224 47.67
484 repvgg_b3g4 321.08 1194.912 384 224 83.83
485 pit_b_224 319.89 399.203 128 224 73.76
486 twins_pcpvt_large 319.03 397.109 128 224 60.99
487 pit_b_distilled_224 318.55 400.853 128 224 74.79
488 legacy_seresnet152 315.59 605.069 192 224 66.82
489 dpn92 314.54 812.398 256 224 37.67
490 inception_v4 312.24 612.734 192 299 42.68
491 regnetx_120 309.13 827.171 256 224 46.11
492 hrnet_w32 308.88 823.922 256 224 41.23
493 convmixer_1024_20_ks9_p14 308.12 830.025 256 224 24.38
494 ecaresnet50t 306.63 416.493 128 320 25.57
495 seresnet152 305.84 415.318 128 224 66.82
496 coat_tiny 303.51 419.779 128 224 5.5
497 vit_small_patch16_36x1_224 303.33 419.341 128 224 64.67
498 regnetz_c16 302.72 421.37 128 320 13.46
499 vit_small_patch16_18x2_224 302.0 421.199 128 224 64.67
500 hrnet_w30 301.17 845.104 256 224 37.71
501 swin_v2_cr_small_224 300.16 424.024 128 224 49.7
502 nest_small 296.43 322.186 96 224 38.35
503 tresnet_xl 295.35 1296.648 384 224 78.44
504 jx_nest_small 294.56 324.278 96 224 38.35
505 efficientnet_el 291.47 438.031 128 300 10.59
506 xception41 291.46 437.936 128 299 26.97
507 efficientnet_el_pruned 291.16 438.564 128 300 10.59
508 regnety_120 291.14 658.173 192 224 51.82
509 cait_s24_224 290.55 438.065 128 224 46.92
510 nf_regnet_b4 288.27 441.948 128 384 30.21
511 twins_svt_large 288.14 442.123 128 224 99.27
512 wide_resnet101_2 287.9 665.343 192 224 126.89
513 mixnet_xxl 287.84 442.746 128 224 23.96
514 tf_efficientnet_el 286.59 445.507 128 300 10.59
515 poolformer_m36 284.22 448.517 128 224 56.17
516 swin_s3_small_224 277.99 343.436 96 224 49.74
517 repvgg_b3 276.27 1388.871 384 224 123.09
518 swin_base_patch4_window7_224 273.38 466.273 128 224 87.77
519 gmlp_b16_224 266.77 358.289 96 224 73.08
520 gluon_resnext101_64x4d 266.55 478.624 128 224 83.46
521 dla102x2 265.99 479.601 128 224 41.28
522 resnet200 264.41 481.093 128 224 64.67
523 resnetv2_50d_evob 261.14 366.354 96 224 25.59
524 regnetx_160 260.8 735.124 192 224 54.28
525 xception65p 258.86 493.161 128 299 39.82
526 inception_resnet_v2 255.7 747.606 192 299 55.84
527 ens_adv_inception_resnet_v2 255.53 748.108 192 299 55.84
528 resnetrs101 253.22 503.169 128 288 63.62
529 resnext101_32x8d 252.1 506.144 128 224 88.79
530 ig_resnext101_32x8d 251.82 506.789 128 224 88.79
531 ssl_resnext101_32x8d 251.44 507.525 128 224 88.79
532 swsl_resnext101_32x8d 251.43 507.504 128 224 88.79
533 crossvit_base_240 250.95 380.881 96 240 105.03
534 dpn98 249.4 511.692 128 224 61.57
535 efficientnet_lite4 247.4 257.372 64 380 13.01
536 coat_mini 246.33 517.632 128 224 10.34
537 efficientnetv2_s 245.94 388.167 96 384 21.46
538 gluon_seresnext101_64x4d 243.95 522.441 128 224 88.23
539 tf_efficientnetv2_s_in21ft1k 243.54 391.981 96 384 21.46
540 tf_efficientnetv2_s 242.89 393.02 96 384 21.46
541 resnet101d 240.52 530.628 128 320 44.57
542 resnest101e 240.15 530.415 128 256 48.28
543 tf_efficientnet_lite4 239.36 265.97 64 380 13.01
544 vit_small_patch16_384 235.44 270.99 64 384 22.2
545 xcit_tiny_24_p16_384_dist 233.56 407.54 96 384 12.12
546 efficientnetv2_rw_s 232.48 273.03 64 384 23.94
547 regnety_064 232.21 549.529 128 288 30.58
548 xcit_medium_24_p16_224_dist 231.18 550.33 128 224 84.4
549 xcit_medium_24_p16_224 231.11 550.432 128 224 84.4
550 vit_large_r50_s32_224 229.5 415.85 96 224 328.99
551 regnetv_064 225.87 564.974 128 288 30.58
552 vit_small_r26_s32_384 225.43 282.622 64 384 36.47
553 convit_base 225.0 567.909 128 224 86.54
554 gluon_xception65 223.32 427.945 96 299 39.92
555 xception65 222.42 429.727 96 299 39.92
556 tnt_b_patch16_224 222.32 573.844 128 224 65.41
557 volo_d2_224 221.58 431.459 96 224 58.68
558 regnety_080 221.2 577.488 128 288 39.18
559 hrnet_w40 220.15 867.238 192 224 57.56
560 swin_s3_base_224 219.92 433.728 96 224 71.13
561 xcit_small_12_p16_384_dist 216.0 442.656 96 384 26.25
562 swin_v2_cr_base_224 214.24 445.643 96 224 87.88
563 hrnet_w48 213.16 895.867 192 224 77.47
564 resnetv2_50d_evos 211.1 226.199 48 288 25.59
565 nest_base 210.29 302.692 64 224 67.72
566 jx_nest_base 209.17 304.343 64 224 67.72
567 vit_base_r50_s16_224 208.73 458.333 96 224 98.66
568 tresnet_m_448 206.95 924.987 192 448 31.39
569 hrnet_w44 206.72 924.031 192 224 67.06
570 efficientnet_b4 203.38 312.633 64 384 19.34
571 regnetz_b16_evos 201.27 316.106 64 288 9.74
572 regnetz_040h 199.85 318.401 64 320 28.94
573 regnetz_040 199.66 318.691 64 320 27.12
574 efficientnet_b3_gn 199.47 319.133 64 320 11.73
575 densenet264 199.22 477.999 96 224 72.69
576 regnetz_d8 197.46 322.524 64 320 23.37
577 eca_nfnet_l1 189.9 672.191 128 320 41.41
578 tf_efficientnet_b4 188.81 336.904 64 380 19.34
579 tf_efficientnet_b4_ns 188.45 337.501 64 380 19.34
580 tf_efficientnet_b4_ap 188.4 337.642 64 380 19.34
581 poolformer_m48 187.63 509.206 96 224 73.47
582 dpn131 186.23 685.159 128 224 79.25
583 regnetz_d32 186.08 342.366 64 320 27.58
584 xcit_nano_12_p8_384_dist 183.21 347.477 64 384 3.05
585 convnext_large_in22ft1k 182.13 525.349 96 224 197.77
586 convnext_large 180.72 529.451 96 224 197.77
587 xcit_tiny_24_p8_224_dist 179.19 532.437 96 224 12.11
588 xcit_tiny_24_p8_224 179.14 532.524 96 224 12.11
589 dpn107 174.56 731.55 128 224 86.92
590 resnet152d 172.45 554.35 96 320 60.21
591 hrnet_w64 170.75 744.856 128 224 128.06
592 halonet_h1 170.55 373.795 64 256 8.1
593 xception71 168.15 378.514 64 299 42.34
594 mixer_l16_224 167.46 571.737 96 224 208.2
595 regnety_320 166.3 768.299 128 224 145.05
596 vit_large_patch32_384 165.23 579.454 96 384 306.63
597 densenet264d_iabn 165.07 1158.795 192 224 72.74
598 xcit_small_12_p8_224 164.33 387.646 64 224 26.21
599 xcit_small_12_p8_224_dist 164.16 388.107 64 224 26.21
600 efficientnet_b3_g8_gn 153.99 413.949 64 320 14.25
601 swin_large_patch4_window7_224 152.41 417.988 64 224 196.53
602 volo_d3_224 152.25 417.779 64 224 86.33
603 ecaresnet200d 150.97 632.522 96 256 64.69
604 seresnet200d 149.9 422.786 64 256 71.86
605 regnetx_320 146.61 871.937 128 224 107.81
606 seresnet152d 143.56 442.443 64 320 66.84
607 resnetv2_50x1_bitm 142.06 337.009 48 448 25.55
608 gluon_senet154 141.6 674.51 96 224 115.09
609 resnetrs152 141.55 448.821 64 320 86.62
610 senet154 141.16 676.729 96 224 115.09
611 legacy_senet154 139.88 683.0 96 224 115.09
612 regnety_160 136.04 704.372 96 288 83.59
613 xcit_large_24_p16_224_dist 130.76 486.175 64 224 189.1
614 xcit_large_24_p16_224 130.33 487.671 64 224 189.1
615 seresnext101_32x8d 126.87 502.294 64 288 93.57
616 nfnet_f1 125.34 763.802 96 320 132.63
617 resnet200d 124.61 510.654 64 320 64.69
618 regnetz_c16_evos 123.93 385.448 48 320 13.49
619 resnext101_64x4d 122.56 781.647 96 288 83.46
620 efficientnetv2_m 120.01 396.838 48 416 54.14
621 swin_v2_cr_large_224 119.95 397.782 48 224 196.68
622 xcit_tiny_12_p8_384_dist 119.32 400.563 48 384 6.71
623 vit_large_patch16_224 116.44 548.026 64 224 304.33
624 crossvit_15_dagger_408 116.23 273.461 32 408 28.5
625 seresnet269d 116.02 545.703 64 256 113.67
626 vit_base_patch16_18x2_224 115.21 552.796 64 224 256.73
627 convnext_xlarge_in22ft1k 113.61 561.618 64 224 350.2
628 convnext_base_384_in22ft1k 112.88 423.483 48 384 88.59
629 dm_nfnet_f1 112.71 565.567 64 320 132.63
630 convnext_tiny_384_in22ft1k 112.65 424.398 48 384 88.59
631 convnext_small_384_in22ft1k 112.59 424.604 48 384 88.59
632 nf_regnet_b5 112.22 567.655 64 456 49.74
633 swin_v2_cr_tiny_384 111.16 286.572 32 384 28.33
634 xcit_small_24_p16_384_dist 110.42 431.325 48 384 47.67
635 beit_large_patch16_224 107.44 593.678 64 224 304.43
636 regnetz_e8 103.46 461.955 48 320 57.7
637 efficientnetv2_rw_m 103.11 307.008 32 416 53.24
638 tresnet_l_448 101.52 1257.535 128 448 55.99
639 swsl_resnext101_32x16d 99.54 962.862 96 224 194.03
640 ig_resnext101_32x16d 99.3 965.129 96 224 194.03
641 ssl_resnext101_32x16d 99.25 965.706 96 224 194.03
642 volo_d1_384 98.94 322.06 32 384 26.78
643 resnetrs200 98.6 482.325 48 320 93.21
644 cait_xxs24_384 97.24 491.195 48 384 12.03
645 deit_base_patch16_384 95.92 332.748 32 384 86.86
646 vit_base_patch16_384 95.88 332.951 32 384 86.86
647 volo_d4_224 95.4 500.622 48 224 192.96
648 eca_nfnet_l2 94.36 675.671 64 384 56.72
649 deit_base_distilled_patch16_384 93.97 339.685 32 384 87.63
650 efficientnet_b5 90.42 351.458 32 456 30.39
651 tf_efficientnetv2_m 89.36 354.724 32 480 54.14
652 tf_efficientnetv2_m_in21ft1k 89.12 355.723 32 480 54.14
653 tf_efficientnet_b5 88.7 358.215 32 456 30.39
654 tf_efficientnet_b5_ap 88.68 358.368 32 456 30.39
655 tf_efficientnet_b5_ns 88.58 358.774 32 456 30.39
656 crossvit_18_dagger_408 87.86 362.177 32 408 44.61
657 resnetv2_101x1_bitm 87.29 364.971 32 448 44.54
658 convmixer_768_32 87.13 1100.537 96 224 21.11
659 resnetv2_152x2_bit_teacher 87.1 364.899 32 224 236.34
660 vit_large_patch14_224 84.6 565.739 48 224 304.2
661 regnetz_d8_evos 83.97 379.015 32 320 23.46
662 beit_base_patch16_384 82.88 385.038 32 384 86.74
663 xcit_small_24_p8_224_dist 82.62 383.85 32 224 47.63
664 xcit_small_24_p8_224 82.5 384.488 32 224 47.63
665 resnest200e 79.64 597.77 48 320 70.2
666 tresnet_xl_448 77.44 1236.244 96 448 78.44
667 xcit_medium_24_p16_384_dist 76.61 414.275 32 384 84.4
668 vit_large_r50_s32_384 76.27 417.132 32 384 329.09
669 swin_base_patch4_window12_384 73.39 434.11 32 384 87.9
670 nfnet_f2 71.5 668.121 48 352 193.78
671 resmlp_big_24_224_in22ft1k 68.15 468.085 32 224 129.14
672 resmlp_big_24_224 68.13 468.141 32 224 129.14
673 resmlp_big_24_distilled_224 68.08 468.542 32 224 129.14
674 pnasnet5large 66.87 474.686 32 331 86.06
675 swin_v2_cr_small_384 66.28 359.629 24 384 49.7
676 nasnetalarge 65.59 482.923 32 331 88.75
677 cait_xs24_384 65.34 487.167 32 384 26.67
678 dm_nfnet_f2 64.55 740.206 48 352 193.78
679 cait_xxs36_384 62.84 505.392 32 384 17.37
680 vit_base_patch8_224 62.83 381.142 24 224 86.58
681 convnext_large_384_in22ft1k 61.61 517.714 32 384 197.77
682 ecaresnet269d 61.52 515.695 32 352 102.09
683 volo_d5_224 61.49 517.153 32 224 295.46
684 xcit_tiny_24_p8_384_dist 60.46 525.849 32 384 12.11
685 xcit_medium_24_p8_224 59.24 536.775 32 224 84.32
686 xcit_medium_24_p8_224_dist 59.23 536.852 32 224 84.32
687 vit_base_resnet50_384 58.93 405.608 24 384 98.95
688 vit_base_r50_s16_384 58.91 405.68 24 384 98.95
689 resnetrs270 58.9 537.38 32 352 129.86
690 xcit_small_12_p8_384_dist 56.03 426.632 24 384 26.21
691 volo_d2_384 55.33 287.363 16 384 58.87
692 ig_resnext101_32x32d 52.68 605.908 32 224 468.53
693 eca_nfnet_l3 50.62 628.636 32 448 72.04
694 convmixer_1536_20 49.63 966.338 48 224 51.63
695 cait_s24_384 49.12 486.034 24 384 47.06
696 efficientnet_b6 48.5 327.112 16 528 43.04
697 tf_efficientnet_b6_ns 48.02 330.391 16 528 43.04
698 tf_efficientnet_b6_ap 47.83 331.608 16 528 43.04
699 tf_efficientnet_b6 47.78 331.966 16 528 43.04
700 efficientnetv2_l 47.17 334.927 16 480 118.52
701 swin_v2_cr_base_384 47.07 337.445 16 384 87.88
702 tf_efficientnetv2_l_in21ft1k 46.85 337.127 16 480 118.52
703 tf_efficientnetv2_l 46.53 339.329 16 480 118.52
704 swin_v2_cr_huge_224 46.2 343.813 16 224 657.83
705 xcit_large_24_p16_384_dist 44.95 530.527 24 384 189.1
706 swin_large_patch4_window12_384 41.24 386.07 16 384 196.74
707 vit_huge_patch14_224 39.65 401.44 16 224 632.05
708 resnetrs350 37.15 638.194 24 384 163.96
709 convnext_xlarge_384_in22ft1k 36.94 431.409 16 384 350.2
710 nfnet_f3 35.43 673.367 24 416 254.92
711 resnest269e 33.7 705.124 24 416 110.93
712 xcit_large_24_p8_224_dist 33.34 476.606 16 224 188.93
713 xcit_large_24_p8_224 33.33 476.71 16 224 188.93
714 dm_nfnet_f3 32.28 738.882 24 416 254.92
715 resnetv2_50x3_bitm 31.96 499.813 16 448 217.32
716 cait_s36_384 31.71 500.682 16 384 68.37
717 resnetv2_152x2_bit_teacher_384 31.41 506.876 16 384 236.34
718 tf_efficientnetv2_xl_in21ft1k 31.07 380.33 12 512 208.12
719 efficientnetv2_xl 30.57 386.62 12 512 208.12
720 efficientnet_b7 30.54 258.47 8 600 66.35
721 tf_efficientnet_b7 30.24 261.049 8 600 66.35
722 tf_efficientnet_b7_ap 30.18 261.545 8 600 66.35
723 tf_efficientnet_b7_ns 30.17 261.527 8 600 66.35
724 vit_large_patch16_384 29.1 410.723 12 384 304.72
725 xcit_small_24_p8_384_dist 28.47 558.499 16 384 47.63
726 swin_v2_cr_large_384 28.33 421.122 12 384 196.68
727 ig_resnext101_32x48d 27.82 573.581 16 224 828.41
728 resnetrs420 25.59 615.408 16 416 191.89
729 beit_large_patch16_384 24.96 478.806 12 384 305.0
730 volo_d3_448 23.79 333.801 8 448 86.63
731 vit_giant_patch14_224 22.41 354.342 8 224 1012.61
732 resnetv2_152x2_bitm 21.79 364.675 8 448 236.34
733 xcit_medium_24_p8_384_dist 19.42 408.574 8 384 84.32
734 nfnet_f4 18.89 630.122 12 512 316.07
735 resnetv2_101x3_bitm 17.61 452.554 8 448 387.93
736 dm_nfnet_f4 17.17 693.324 12 512 316.07
737 volo_d4_448 16.84 353.766 6 448 193.41
738 efficientnet_b8 14.4 412.697 6 672 87.41
739 tf_efficientnet_b8_ap 14.32 415.19 6 672 87.41
740 tf_efficientnet_b8 14.24 417.31 6 672 87.41
741 nfnet_f5 12.31 643.8 8 544 377.21
742 cait_m36_384 11.75 507.058 6 384 271.22
743 xcit_large_24_p8_384_dist 11.36 524.55 6 384 188.93
744 dm_nfnet_f5 11.21 706.654 8 544 377.21
745 volo_d5_448 11.01 359.686 4 448 295.91
746 swin_v2_cr_huge_384 10.89 364.734 4 384 657.94
747 tf_efficientnet_l2_ns_475 10.43 377.703 4 475 480.31
748 nfnet_f6 10.18 778.679 8 576 438.36
749 beit_large_patch16_512 9.37 425.057 4 512 305.67
750 dm_nfnet_f6 8.56 692.978 6 576 438.36
751 volo_d5_512 7.76 383.588 3 512 296.09
752 nfnet_f7 7.54 787.101 6 608 499.5
753 cait_m48_448 4.71 419.695 2 448 356.46
754 resnetv2_152x4_bitm 4.53 438.64 2 480 936.53
755 tf_efficientnet_l2_ns 2.96 331.907 1 800 480.31
756 efficientnet_l2 2.92 336.419 1 800 480.31

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model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,10725.36,46.047,512,106,2.04
mobilenetv3_small_050,9864.52,50.786,512,224,1.59
lcnet_035,9593.72,52.888,512,224,1.64
lcnet_050,8283.82,61.296,512,224,1.88
tf_mobilenetv3_small_minimal_100,8178.73,62.055,512,224,2.04
tinynet_d,7987.22,63.336,512,152,2.34
mobilenetv3_small_075,7734.29,65.482,512,224,2.04
mobilenetv3_small_100,7481.49,67.702,512,224,2.54
tf_mobilenetv3_small_075,7093.89,71.455,512,224,2.04
tf_mobilenetv3_small_100,6879.11,73.705,512,224,2.54
levit_128s,6303.14,80.293,512,224,7.78
lcnet_075,5742.95,88.676,512,224,2.36
lcnet_100,5331.75,95.531,512,224,2.95
mixer_s32_224,4714.36,108.029,512,224,19.1
mnasnet_small,4652.19,109.156,512,224,2.03
mnasnet_050,4534.41,112.14,512,224,2.22
levit_128,4434.56,114.332,512,224,9.21
vit_small_patch32_224,4334.06,117.284,512,224,22.88
mobilenetv2_035,4197.24,121.203,512,224,1.68
tinynet_c,4165.97,121.921,512,184,2.46
gernet_s,4117.74,123.649,512,224,8.17
semnasnet_050,4027.14,126.223,512,224,2.08
vit_tiny_r_s16_p8_224,3857.49,131.88,512,224,6.34
levit_192,3823.94,132.765,512,224,10.95
lcnet_150,3663.02,139.3,512,224,4.5
resnet18,3584.19,142.504,512,224,11.69
gluon_resnet18_v1b,3584.07,142.508,512,224,11.69
swsl_resnet18,3583.72,142.531,512,224,11.69
ssl_resnet18,3558.1,143.543,512,224,11.69
mobilenetv2_050,3541.93,143.76,512,224,1.97
mobilenetv3_large_075,3343.71,152.255,512,224,3.99
ese_vovnet19b_slim_dw,3243.14,157.395,512,224,1.9
tf_mobilenetv3_large_minimal_100,3227.09,157.922,512,224,3.92
seresnet18,3222.19,158.398,512,224,11.78
legacy_seresnet18,3130.77,163.021,512,224,11.78
tf_mobilenetv3_large_075,3109.15,163.824,512,224,3.99
mnasnet_075,3102.76,164.235,512,224,3.17
ghostnet_050,3069.54,165.437,512,224,2.59
mobilenetv3_rw,3020.36,168.644,512,224,5.48
mobilenetv3_large_100,2997.0,169.969,512,224,5.48
mobilenetv3_large_100_miil,2996.51,169.991,512,224,5.48
levit_256,2923.52,174.041,512,224,18.89
hardcorenas_a,2875.54,177.351,512,224,5.26
resnet18d,2830.02,180.547,512,224,11.71
mnasnet_b1,2826.42,180.324,512,224,4.38
mnasnet_100,2810.01,181.39,512,224,4.38
tf_mobilenetv3_large_100,2800.51,181.961,512,224,5.48
tinynet_b,2773.33,183.58,512,188,3.73
hardcorenas_b,2665.39,191.158,512,224,5.18
semnasnet_075,2649.51,192.342,512,224,2.91
hardcorenas_c,2643.17,192.764,512,224,5.52
ese_vovnet19b_slim,2613.26,195.551,512,224,3.17
mobilenetv2_075,2538.45,200.896,512,224,2.64
tf_efficientnetv2_b0,2507.59,202.986,512,224,7.14
spnasnet_100,2504.82,203.411,512,224,4.42
levit_256d,2485.6,204.456,512,224,26.21
hardcorenas_d,2483.8,204.983,512,224,7.5
semnasnet_100,2411.15,211.44,512,224,3.89
mnasnet_a1,2396.96,212.676,512,224,3.89
mobilenetv2_100,2381.65,214.209,512,224,3.5
regnetx_002,2371.97,215.169,512,224,2.68
tinynet_a,2274.6,223.875,512,192,6.19
regnety_002,2255.16,226.095,512,224,3.16
ghostnet_100,2251.56,226.062,512,224,5.18
fbnetc_100,2248.09,226.804,512,224,5.57
deit_tiny_patch16_224,2233.8,228.385,512,224,5.72
vit_tiny_patch16_224,2229.44,228.819,512,224,5.72
efficientnet_lite0,2209.28,231.003,512,224,4.65
hardcorenas_f,2207.45,230.839,512,224,8.2
deit_tiny_distilled_patch16_224,2193.62,232.567,512,224,5.91
hardcorenas_e,2183.35,233.392,512,224,8.07
xcit_nano_12_p16_224_dist,2148.4,236.588,512,224,3.05
xcit_nano_12_p16_224,2147.35,236.626,512,224,3.05
tv_resnet34,2081.13,245.45,512,224,21.8
resnet34,2080.93,245.474,512,224,21.8
gluon_resnet34_v1b,2070.75,246.674,512,224,21.8
pit_ti_distilled_224,2069.0,246.563,512,224,5.1
pit_ti_224,2067.14,246.798,512,224,4.85
tf_efficientnet_lite0,2051.57,248.83,512,224,4.65
skresnet18,2011.18,253.956,512,224,11.96
resnet26,1965.66,259.994,512,224,16.0
resnetblur18,1945.89,262.773,512,224,11.69
gernet_m,1920.15,265.947,512,224,21.14
ese_vovnet19b_dw,1905.39,268.216,512,224,6.54
nf_resnet26,1877.61,272.201,512,224,16.0
hrnet_w18_small,1858.6,274.127,512,224,13.19
seresnet34,1854.8,275.134,512,224,21.96
mnasnet_140,1835.61,278.136,512,224,7.12
legacy_seresnet34,1814.57,281.284,512,224,21.96
efficientnet_b0,1800.57,212.181,384,224,5.29
levit_384,1799.63,283.374,512,224,39.13
resnet34d,1799.03,284.0,512,224,21.82
mobilenetv2_110d,1768.64,216.1,384,224,4.52
rexnetr_100,1759.23,217.141,384,224,4.88
selecsls42,1754.3,291.22,512,224,30.35
selecsls42b,1748.59,292.176,512,224,32.46
mixer_b32_224,1728.02,295.478,512,224,60.29
tf_efficientnet_b0_ns,1702.0,224.532,384,224,5.29
tf_efficientnet_b0_ap,1700.69,224.751,384,224,5.29
tf_efficientnet_b0,1700.24,224.78,384,224,5.29
mixer_s16_224,1649.18,309.899,512,224,18.53
semnasnet_140,1640.99,311.119,512,224,6.11
tf_efficientnet_es,1622.88,314.744,512,224,5.44
efficientnet_es,1618.83,315.528,512,224,5.44
efficientnet_es_pruned,1616.07,316.054,512,224,5.44
vit_base_patch32_224_sam,1613.76,316.429,512,224,88.22
vit_base_patch32_224,1612.96,316.587,512,224,88.22
resnet26d,1609.37,317.63,512,224,16.01
tf_efficientnetv2_b1,1607.05,237.525,384,240,8.14
ghostnet_130,1600.19,318.63,512,224,7.36
pit_xs_distilled_224,1591.2,320.859,512,224,11.0
pit_xs_224,1589.39,321.258,512,224,10.62
repvgg_b0,1586.15,321.714,512,224,15.82
resmlp_12_224,1552.02,329.099,512,224,15.35
resmlp_12_distilled_224,1551.98,329.119,512,224,15.35
gmixer_12_224,1551.47,329.195,512,224,12.7
mobilenetv2_140,1539.46,248.646,384,224,6.11
mobilevit_xxs,1515.36,252.293,384,256,1.27
selecsls60,1486.56,343.544,512,224,30.67
selecsls60b,1480.82,344.867,512,224,32.77
nf_seresnet26,1471.47,347.302,512,224,17.4
xcit_tiny_12_p16_224,1422.37,358.218,512,224,6.72
xcit_tiny_12_p16_224_dist,1420.76,358.558,512,224,6.72
efficientnet_lite1,1418.67,179.483,256,240,5.42
vit_small_patch32_384,1414.68,361.045,512,384,22.92
efficientnet_b1_pruned,1384.32,368.407,512,240,6.33
gmlp_ti16_224,1378.39,276.995,384,224,5.87
dla46_c,1367.99,373.533,512,224,1.3
nf_ecaresnet26,1361.11,375.605,512,224,16.0
poolformer_s12,1359.83,375.831,512,224,11.92
rexnetr_130,1350.37,188.438,256,224,7.61
tf_efficientnet_lite1,1343.78,189.557,256,240,5.42
crossvit_tiny_240,1320.33,386.159,512,240,7.01
mobilenetv2_120d,1309.71,194.276,256,224,5.83
resnetv2_50,1296.0,394.281,512,224,25.55
gernet_l,1283.32,398.106,512,256,31.08
rexnet_100,1277.92,299.324,384,224,4.8
crossvit_9_240,1236.5,309.16,384,240,8.55
resnet26t,1227.85,416.475,512,256,16.01
ssl_resnet50,1223.5,417.643,512,224,25.56
resnet50,1222.61,417.956,512,224,25.56
tv_resnet50,1222.03,418.147,512,224,25.56
swsl_resnet50,1222.0,418.189,512,224,25.56
gluon_resnet50_v1b,1221.97,418.181,512,224,25.56
crossvit_9_dagger_240,1195.59,319.731,384,240,8.78
vit_tiny_r_s16_p8_384,1193.45,320.912,384,384,6.36
rexnetr_150,1185.63,214.799,256,224,9.78
fbnetv3_b,1184.86,322.487,384,256,8.6
botnet26t_256,1168.73,327.971,384,256,12.49
tf_efficientnetv2_b2,1157.41,219.649,256,260,10.1
regnetx_004,1150.82,443.834,512,224,5.16
repvgg_a2,1142.14,447.42,512,224,28.21
skresnet34,1140.48,447.803,512,224,22.28
resnetv2_50t,1134.35,450.541,512,224,25.57
fbnetv3_d,1133.65,223.966,256,256,10.31
resnetv2_50d,1131.93,451.499,512,224,25.57
gluon_resnet50_v1c,1131.41,338.54,384,224,25.58
halonet26t,1122.34,341.57,384,256,12.48
convit_tiny,1108.09,461.02,512,224,5.71
efficientnet_lite2,1096.26,232.544,256,260,6.09
dla34,1094.33,467.287,512,224,15.74
convnext_nano_hnf,1075.54,356.227,384,224,15.59
resnet50d,1070.21,357.929,384,224,25.58
gluon_resnet50_v1d,1070.13,357.997,384,224,25.58
resnet50t,1068.62,358.508,384,224,25.57
mixnet_s,1051.2,485.837,512,224,4.13
legacy_seresnext26_32x4d,1051.18,486.414,512,224,16.79
tf_efficientnet_lite2,1045.58,243.879,256,260,6.09
vit_small_resnet26d_224,1042.37,367.395,384,224,63.61
deit_small_patch16_224,1032.62,371.017,384,224,22.05
vit_small_patch16_224,1027.63,372.823,384,224,22.05
regnety_004,1027.25,497.255,512,224,4.34
tf_efficientnet_b1_ns,1026.16,247.955,256,240,7.79
tf_efficientnet_b1_ap,1026.11,248.006,256,240,7.79
tf_efficientnet_b1,1025.11,248.193,256,240,7.79
resnet32ts,1021.77,249.96,256,256,17.96
deit_small_distilled_patch16_224,1010.79,379.058,384,224,22.44
resnet33ts,1009.39,252.998,256,256,19.68
res2net50_48w_2s,1006.25,380.82,384,224,25.29
vovnet39a,1004.46,509.092,512,224,22.6
seresnext26d_32x4d,1002.27,382.471,384,224,16.81
seresnext26t_32x4d,1001.74,382.665,384,224,16.81
seresnext26tn_32x4d,1001.47,382.779,384,224,16.81
legacy_seresnet50,993.86,385.256,384,224,28.09
tf_efficientnet_em,979.63,260.356,256,240,6.9
efficientnet_em,978.46,260.687,256,240,6.9
dla46x_c,973.77,525.047,512,224,1.07
eca_resnet33ts,964.39,264.788,256,256,19.68
pit_s_224,961.0,265.507,256,224,23.46
pit_s_distilled_224,960.14,265.718,256,224,24.04
tf_mixnet_s,958.59,532.877,512,224,4.13
seresnet50,956.87,400.165,384,224,28.09
efficientnet_b1,954.91,266.596,256,256,7.79
seresnet33ts,954.85,267.313,256,256,19.78
ecaresnetlight,952.86,536.422,512,224,30.16
vit_base2_patch32_256,950.48,537.853,512,256,119.46
ese_vovnet39b,947.73,539.578,512,224,24.57
ecaresnext50t_32x4d,947.69,404.65,384,224,15.41
ecaresnext26t_32x4d,947.22,404.844,384,224,15.41
dla60,945.45,405.196,384,224,22.04
gluon_resnet50_v1s,943.31,406.227,384,224,25.68
resnetaa50d,941.94,406.82,384,224,25.58
eca_vovnet39b,939.18,544.514,512,224,22.6
vgg11,930.6,550.023,512,224,132.86
gcresnet33ts,927.58,274.995,256,256,19.88
lambda_resnet26rpt_256,921.55,207.755,192,256,10.99
dla60x_c,921.01,554.951,512,224,1.32
ecaresnet50d_pruned,911.85,560.565,512,224,19.94
resnetblur50,909.58,421.362,384,224,25.56
mobilevit_xs,909.51,210.0,192,256,2.32
cspresnet50,906.79,422.612,384,256,21.62
rexnetr_200,896.75,212.966,192,224,16.52
coat_lite_tiny,890.79,430.193,384,224,5.72
nf_seresnet50,886.81,431.807,384,224,28.09
dpn68b,878.29,436.039,384,224,12.61
selecsls84,872.56,585.545,512,224,50.95
twins_svt_small,868.85,440.366,384,224,24.06
hrnet_w18_small_v2,867.42,587.948,512,224,15.6
seresnet50t,865.51,442.504,384,224,28.1
cspresnext50,862.61,444.309,384,224,20.57
resnetrs50,861.96,444.354,384,224,35.69
cspresnet50w,860.12,445.567,384,256,28.12
cspresnet50d,849.09,451.363,384,256,21.64
densenet121,845.28,301.077,256,224,7.98
tv_densenet121,845.28,301.063,256,224,7.98
rexnet_150,842.23,302.82,256,224,9.73
tv_resnext50_32x4d,836.18,458.41,384,224,25.03
swsl_resnext50_32x4d,836.09,458.464,384,224,25.03
res2net50_26w_4s,835.77,458.208,384,224,25.7
coat_lite_mini,833.77,459.672,384,224,11.01
vit_base_resnet26d_224,833.37,459.491,384,224,101.4
resnext50_32x4d,832.87,460.244,384,224,25.03
ssl_resnext50_32x4d,832.34,460.521,384,224,25.03
dpn68,831.95,460.44,384,224,12.61
gluon_resnext50_32x4d,831.77,460.799,384,224,25.03
vovnet57a,828.64,616.994,512,224,36.64
efficientnet_b2_pruned,825.77,308.457,256,260,8.31
resnetblur50d,818.48,311.928,256,224,25.58
skresnet50,810.12,472.628,384,224,25.8
tf_efficientnet_b2_ap,809.72,235.646,192,260,9.11
tf_efficientnet_b2_ns,809.32,235.717,192,260,9.11
tf_efficientnet_b2,809.06,235.843,192,260,9.11
vgg11_bn,805.38,476.555,384,224,132.87
densenet121d,805.31,316.045,256,224,8.0
nf_ecaresnet50,804.89,476.102,384,224,25.56
rexnet_130,801.42,318.304,256,224,7.56
ecaresnet50d,793.07,483.245,384,224,25.58
ese_vovnet57b,790.94,484.567,384,224,38.61
regnetx_006,790.56,646.782,512,224,6.2
gcresnet50t,788.09,323.372,256,256,25.9
regnety_006,787.76,648.873,512,224,6.06
convnext_tiny,781.17,326.737,256,224,28.59
tf_inception_v3,774.78,494.217,384,299,23.83
gluon_inception_v3,774.48,494.404,384,299,23.83
seresnetaa50d,773.82,329.682,256,224,28.11
inception_v3,772.99,495.38,384,299,23.83
adv_inception_v3,769.85,497.351,384,299,23.83
resmlp_24_distilled_224,767.92,331.893,256,224,30.02
resnext50d_32x4d,765.61,333.516,256,224,25.05
resmlp_24_224,762.25,334.383,256,224,30.02
gmixer_24_224,759.72,335.461,256,224,24.72
resnetv2_101,757.49,336.449,256,224,44.54
res2net50_14w_8s,756.34,336.303,256,224,25.06
xcit_nano_12_p16_384_dist,754.95,337.338,256,384,3.05
sehalonet33ts,749.52,340.746,256,256,13.69
densenetblur121d,739.98,344.167,256,224,8.0
dla60_res2net,736.45,346.205,256,224,20.85
skresnet50d,736.23,346.324,256,224,25.82
mobilevit_s,734.66,260.236,192,256,5.58
gluon_resnet101_v1b,731.02,348.601,256,224,44.55
tv_resnet101,727.65,350.31,256,224,44.55
resnet101,727.5,350.369,256,224,44.55
xcit_tiny_24_p16_224,726.25,349.143,256,224,12.12
xcit_tiny_24_p16_224_dist,725.28,349.489,256,224,12.12
efficientnet_b2,724.21,263.654,192,288,9.11
twins_pcpvt_small,724.17,351.883,256,224,24.11
efficientnet_b2a,723.56,263.856,192,288,9.11
ecaresnet101d_pruned,714.19,715.116,512,224,24.88
nf_resnet50,710.87,539.322,384,288,25.56
nf_resnet101,707.69,540.968,384,224,44.55
seresnext50_32x4d,706.91,361.01,256,224,27.56
gluon_seresnext50_32x4d,706.58,361.114,256,224,27.56
efficientnet_b0_gn,705.84,361.599,256,224,5.29
legacy_seresnext50_32x4d,704.96,362.028,256,224,27.56
nf_regnet_b0,703.19,726.933,512,256,8.76
darknet53,701.97,363.892,256,256,41.61
resnetv2_101d,699.92,364.177,256,224,44.56
densenet169,698.35,364.121,256,224,14.15
gluon_resnet101_v1c,697.85,365.313,256,224,44.57
dla60x,694.54,367.645,256,224,17.35
poolformer_s24,690.11,369.675,256,224,21.39
semobilevit_s,684.71,279.143,192,256,5.74
efficientnetv2_rw_t,684.48,278.424,192,288,13.65
vit_small_r26_s32_224,682.34,373.878,256,224,36.43
convnext_tiny_hnf,681.83,374.501,256,224,28.59
gluon_resnet101_v1d,674.08,378.237,256,224,44.57
tf_efficientnetv2_b3,670.7,284.467,192,300,14.36
xcit_small_12_p16_224,670.22,380.208,256,224,26.25
xcit_small_12_p16_224_dist,669.97,380.26,256,224,26.25
sebotnet33ts_256,666.38,191.3,128,256,13.7
rexnet_200,665.99,287.162,192,224,16.37
vgg13,663.21,578.818,384,224,133.05
regnety_008,661.82,772.637,512,224,6.26
wide_resnet50_2,661.04,580.088,384,224,68.88
dla102,650.38,392.047,256,224,33.27
gmlp_s16_224,648.9,294.316,192,224,19.42
vit_base_resnet50d_224,646.39,394.444,256,224,110.97
swin_tiny_patch4_window7_224,639.35,399.428,256,224,28.29
ecaresnet26t,628.75,406.586,256,320,16.01
repvgg_b1,627.31,815.089,512,224,57.42
gluon_resnet101_v1s,624.3,408.497,256,224,44.67
crossvit_small_240,624.04,408.587,256,240,26.86
resnetaa101d,621.23,410.532,256,224,44.57
eca_botnext26ts_256,618.03,413.613,256,256,10.59
resnext26ts,615.62,623.252,384,256,10.3
gc_efficientnetv2_rw_t,605.04,314.593,192,288,13.68
eca_halonext26ts,604.41,422.932,256,256,10.76
seresnext26ts,598.53,427.051,256,256,10.39
eca_resnext26ts,598.25,427.346,256,256,10.3
convnext_tiny_hnfd,592.58,430.992,256,224,28.63
regnetx_008,591.8,864.35,512,224,7.26
resnetv2_50x1_bit_distilled,589.64,324.794,192,224,25.55
legacy_seresnet101,588.41,432.899,256,224,49.33
gcresnext26ts,585.17,436.656,256,256,10.48
halonet50ts,584.39,327.573,192,256,22.73
xcit_nano_12_p8_224,583.42,437.05,256,224,3.05
cait_xxs24_224,582.93,436.673,256,224,11.96
xcit_nano_12_p8_224_dist,581.01,438.848,256,224,3.05
mixer_b16_224,580.44,440.268,256,224,59.88
mixer_b16_224_miil,579.94,440.653,256,224,59.88
swin_s3_tiny_224,578.76,441.339,256,224,28.33
seresnet101,574.05,443.691,256,224,49.33
mixnet_m,573.23,891.634,512,224,5.01
res2net50_26w_6s,569.28,447.908,256,224,37.05
vgg13_bn,568.79,449.813,256,224,133.05
crossvit_15_240,568.46,335.957,192,240,27.53
resnetblur101d,567.71,449.352,256,224,44.57
cspdarknet53,565.64,451.547,256,256,27.64
efficientnet_lite3,563.01,226.244,128,300,8.2
tf_efficientnet_lite3,561.05,227.067,128,300,8.2
crossvit_15_dagger_240,549.96,347.22,192,240,28.21
resnext101_32x4d,548.6,465.031,256,224,44.18
tf_mixnet_m,547.03,700.438,384,224,5.01
swsl_resnext101_32x4d,546.13,467.192,256,224,44.18
gluon_resnext101_32x4d,545.31,467.899,256,224,44.18
ssl_resnext101_32x4d,545.31,467.944,256,224,44.18
densenet201,539.32,353.029,192,224,20.01
vgg16,536.49,715.548,384,224,138.36
bat_resnext26ts,533.44,478.688,256,256,10.73
nf_seresnet101,532.2,478.733,256,224,49.33
vit_base_r26_s32_224,528.57,361.981,192,224,101.38
resnetv2_152,524.49,485.916,256,224,60.19
botnet50ts_256,524.41,243.109,128,256,22.74
res2net101_26w_4s,523.46,486.536,256,224,45.21
efficientnet_b3_pruned,519.43,491.117,256,300,9.86
vit_base_patch32_384,517.32,494.013,256,384,88.3
vit_large_patch32_224,511.41,498.976,256,224,306.54
halo2botnet50ts_256,510.64,375.017,192,256,22.64
mixer_l32_224,510.1,374.908,192,224,206.94
swin_v2_cr_tiny_224,506.89,377.55,192,224,28.33
resmlp_36_distilled_224,505.72,377.435,192,224,44.69
resmlp_36_224,505.39,377.735,192,224,44.69
vit_tiny_patch16_384,503.94,253.174,128,384,5.79
res2next50,502.84,507.818,256,224,24.67
dla102x,501.98,380.938,192,224,26.31
swin_v2_cr_tiny_ns_224,501.36,381.688,192,224,28.33
resnet152,499.83,381.783,192,224,60.19
gluon_resnet152_v1b,499.79,381.933,192,224,60.19
tv_resnet152,496.47,384.401,192,224,60.19
xception,494.06,258.29,128,299,22.86
visformer_tiny,491.83,1040.332,512,224,10.32
mixnet_l,488.23,784.993,384,224,7.33
gluon_resnet152_v1c,485.58,393.139,192,224,60.21
resnet50_gn,484.73,395.256,192,224,25.56
resnetv2_152d,484.59,393.938,192,224,60.2
twins_pcpvt_base,480.18,397.102,192,224,43.83
nest_tiny,477.31,267.267,128,224,17.06
res2net50_26w_8s,476.93,534.581,256,224,48.4
ecaresnet101d,475.58,536.508,256,224,44.57
convnext_small,473.89,403.445,192,224,50.22
gluon_resnet152_v1d,473.52,403.216,192,224,60.21
tf_mixnet_l,470.86,542.123,256,224,7.33
jx_nest_tiny,470.71,271.015,128,224,17.06
vgg16_bn,469.97,544.386,256,224,138.37
nf_ecaresnet101,465.87,547.628,256,224,44.55
coat_lite_small,463.34,412.922,192,224,19.84
poolformer_s36,458.24,417.134,192,224,30.86
efficientnet_el,455.42,279.993,128,300,10.59
efficientnet_el_pruned,454.32,280.643,128,300,10.59
vgg19,451.86,849.574,384,224,143.67
convit_small,450.19,425.458,192,224,27.78
fbnetv3_g,449.02,283.045,128,288,16.62
ese_vovnet99b,448.97,568.658,256,224,63.2
seresnext101_32x4d,448.16,426.163,192,224,48.96
gluon_seresnext101_32x4d,447.49,426.94,192,224,48.96
gluon_resnet152_v1s,446.73,427.49,192,224,60.32
legacy_seresnext101_32x4d,446.01,428.263,192,224,48.96
nf_regnet_b3,442.03,577.378,256,320,18.59
tf_efficientnet_el,441.61,288.785,128,300,10.59
ese_vovnet39b_evos,439.23,290.493,128,224,24.58
dla60_res2next,437.89,583.208,256,224,17.03
volo_d1_224,437.25,437.756,192,224,26.63
dla169,436.98,436.866,192,224,53.39
skresnext50_32x4d,435.09,586.972,256,224,27.48
hrnet_w32,433.46,438.263,192,224,41.23
vit_small_resnet50d_s16_224,432.94,442.239,192,224,57.53
twins_svt_base,429.83,444.617,192,224,56.07
hrnet_w18,419.32,605.846,256,224,21.3
crossvit_18_240,400.15,317.858,128,240,43.27
vgg19_bn,399.74,640.035,256,224,143.68
ecaresnet50t,399.44,319.549,128,320,25.57
inception_v4,397.78,480.469,192,299,42.68
tf_efficientnet_b3,393.44,323.695,128,300,12.23
swin_small_patch4_window7_224,393.38,486.272,192,224,49.61
legacy_seresnet152,392.87,485.406,192,224,66.82
tf_efficientnet_b3_ap,392.08,324.783,128,300,12.23
vit_base_patch16_224_miil,391.87,489.169,192,224,86.54
tf_efficientnet_b3_ns,391.61,325.176,128,300,12.23
crossvit_18_dagger_240,387.95,327.891,128,240,44.27
vit_base_patch16_224,385.23,497.575,192,224,86.57
vit_base_patch16_224_sam,384.98,497.891,192,224,86.57
deit_base_patch16_224,384.15,498.956,192,224,86.57
cait_xxs36_224,380.29,501.012,192,224,17.3
repvgg_b2,380.03,1346.183,512,224,89.02
regnetx_016,379.21,1349.264,512,224,9.19
deit_base_distilled_patch16_224,378.28,506.739,192,224,87.34
densenet161,376.13,337.907,128,224,28.68
haloregnetz_b,375.52,680.247,256,224,11.68
xcit_tiny_12_p8_224,374.86,339.659,128,224,6.71
xcit_tiny_12_p8_224_dist,374.8,339.672,128,224,6.71
seresnet152,372.93,339.954,128,224,66.82
dla102x2,362.92,351.15,128,224,41.28
wide_resnet101_2,360.46,531.121,192,224,126.89
gluon_resnext101_64x4d,357.83,356.147,128,224,83.46
efficientnet_b3a,354.6,359.335,128,320,12.23
resnet200,354.57,357.998,128,224,64.67
xception41p,353.88,360.846,128,299,26.91
regnety_016,353.36,1447.082,512,224,11.2
efficientnet_b3,353.18,360.796,128,320,12.23
beit_base_patch16_224,352.29,543.93,192,224,86.53
resnest14d,349.84,1463.045,512,224,10.61
hrnet_w30,346.82,733.381,256,224,37.71
ens_adv_inception_resnet_v2,341.5,558.819,192,299,55.84
inception_resnet_v2,341.03,559.722,192,299,55.84
xcit_small_24_p16_224_dist,341.01,371.894,128,224,47.67
tnt_s_patch16_224,340.3,562.32,192,224,23.76
xcit_small_24_p16_224,339.02,373.952,128,224,47.67
efficientnet_lite4,334.87,189.779,64,380,13.01
dpn92,332.25,769.002,256,224,37.67
nf_regnet_b1,330.04,1549.911,512,288,10.22
twins_pcpvt_large,327.73,386.698,128,224,60.99
resnet101d,327.41,389.353,128,320,44.57
convnext_small_in22ft1k,327.31,389.301,128,224,88.59
convnext_base,327.3,389.374,128,224,88.59
convnext_base_in22ft1k,326.61,390.177,128,224,88.59
convnext_tiny_in22ft1k,324.94,392.181,128,224,88.59
tf_efficientnet_lite4,322.62,197.041,64,380,13.01
resnetrs101,321.74,395.61,128,288,63.62
pit_b_224,318.92,400.391,128,224,73.76
pit_b_distilled_224,318.09,401.455,128,224,74.79
gcresnext50ts,316.73,604.706,192,256,15.67
repvgg_b3,315.56,1215.795,384,224,123.09
gluon_seresnext101_64x4d,313.23,406.424,128,224,88.23
regnetz_d8,311.3,204.013,64,320,23.37
poolformer_m36,307.82,413.95,128,224,56.17
xception41,305.16,418.228,128,299,26.97
resnetv2_50d_gn,304.62,419.347,128,288,25.57
coat_tiny,304.05,418.955,128,224,5.5
vit_small_patch16_36x1_224,302.22,420.928,128,224,64.67
swin_v2_cr_small_224,302.05,421.43,128,224,49.7
cait_s24_224,301.09,422.497,128,224,46.92
mixnet_xl,300.81,849.169,256,224,11.9
vit_small_patch16_18x2_224,299.9,424.102,128,224,64.67
resnetv2_50d_frn,299.64,426.047,128,224,25.59
efficientnetv2_s,299.05,318.819,96,384,21.46
twins_svt_large,298.59,426.599,128,224,99.27
tf_efficientnetv2_s,297.45,320.544,96,384,21.46
tf_efficientnetv2_s_in21ft1k,295.84,322.238,96,384,21.46
efficientnetv2_rw_s,295.58,214.343,64,384,23.94
nest_small,295.19,323.571,96,224,38.35
jx_nest_small,293.04,325.974,96,224,38.35
hrnet_w40,291.68,653.529,192,224,57.56
regnetz_005,286.8,1783.819,512,224,7.12
nf_regnet_b2,284.19,1799.964,512,272,14.31
dpn98,283.21,450.397,128,224,61.57
gluon_xception65,280.82,339.911,96,299,39.92
xception65,279.18,341.922,96,299,39.92
resnet51q,277.93,689.969,192,288,35.7
nf_regnet_b4,277.28,459.47,128,384,30.21
swin_s3_small_224,277.05,344.678,96,224,49.74
swin_base_patch4_window7_224,275.83,462.244,128,224,87.77
xception65p,274.95,464.241,128,299,39.82
gmlp_b16_224,270.89,352.851,96,224,73.08
hrnet_w48,266.5,475.648,128,224,77.47
resnest26d,258.35,1485.604,384,224,17.07
resnest50d_1s4x24d,258.11,990.508,256,224,25.68
xcit_tiny_24_p16_384_dist,251.56,378.207,96,384,12.12
regnetz_c16,250.16,510.248,128,320,13.46
crossvit_base_240,249.99,382.366,96,240,105.03
coat_mini,247.34,515.482,128,224,10.34
xcit_medium_24_p16_224,244.65,519.851,128,224,84.4
xcit_medium_24_p16_224_dist,244.08,521.069,128,224,84.4
hrnet_w44,241.77,789.352,192,224,67.06
efficientnet_b4,241.47,262.953,64,384,19.34
volo_d2_224,238.72,400.292,96,224,58.68
tf_efficientnet_b4,236.52,268.528,64,380,19.34
tf_efficientnet_b4_ap,236.39,268.69,64,380,19.34
tf_efficientnet_b4_ns,236.1,269.028,64,380,19.34
vit_small_patch16_384,235.52,270.897,64,384,22.2
resnetv2_50d_evob,235.19,406.951,96,224,25.59
tresnet_m,234.84,2177.505,512,224,31.39
nfnet_l0,233.22,1096.449,256,288,35.07
visformer_small,232.72,1649.37,384,224,40.22
xcit_small_12_p16_384_dist,230.87,414.048,96,384,26.25
vit_large_r50_s32_224,228.88,417.083,96,224,328.99
convit_base,228.65,558.76,128,224,86.54
eca_nfnet_l0,226.92,1127.142,256,288,24.14
resnetv2_50d_evos,223.6,285.051,64,288,25.59
tnt_b_patch16_224,222.54,573.324,128,224,65.41
vit_small_r26_s32_384,221.41,287.746,64,384,36.47
densenet264,220.0,432.388,96,224,72.69
swin_s3_base_224,219.07,435.557,96,224,71.13
hrnet_w64,218.91,579.973,128,224,128.06
resnext101_64x4d,217.22,440.378,96,288,83.46
resnet152d,216.09,441.927,96,320,60.21
xception71,215.62,294.681,64,299,42.34
swin_v2_cr_base_224,215.23,443.662,96,224,87.88
dpn131,211.54,603.038,128,224,79.25
nest_base,210.35,302.564,64,224,67.72
vit_base_r50_s16_224,208.87,457.959,96,224,98.66
jx_nest_base,208.37,305.48,64,224,67.72
resnet61q,207.91,614.63,128,288,36.85
mixnet_xxl,202.79,629.315,128,224,23.96
xcit_nano_12_p8_384_dist,196.18,324.445,64,384,3.05
poolformer_m48,193.91,492.638,96,224,73.47
xcit_tiny_24_p8_224,190.8,499.85,96,224,12.11
xcit_tiny_24_p8_224_dist,190.62,500.3,96,224,12.11
seresnet200d,190.31,500.165,96,256,71.86
ecaresnet200d,182.23,523.49,96,256,64.69
regnetz_b16,181.6,1055.83,192,288,9.72
convnext_large_in22ft1k,180.86,529.028,96,224,197.77
convnext_large,180.64,529.707,96,224,197.77
convmixer_768_32,179.25,534.249,96,224,21.11
repvgg_b1g4,178.41,2868.637,512,224,39.97
regnety_032,178.01,1436.656,256,288,19.44
regnetx_032,177.68,2160.015,384,224,15.3
resnest50d,177.64,1439.786,256,224,27.48
gluon_senet154,177.29,538.24,96,224,115.09
senet154,176.81,539.67,96,224,115.09
halonet_h1,175.85,362.526,64,256,8.1
legacy_senet154,175.45,543.752,96,224,115.09
xcit_small_12_p8_224,174.99,363.954,64,224,26.21
xcit_small_12_p8_224_dist,174.85,364.256,64,224,26.21
seresnet152d,173.74,364.967,64,320,66.84
dpn107,173.23,552.482,96,224,86.92
mixer_l16_224,172.58,554.751,96,224,208.2
resnetrs152,171.14,370.433,64,320,86.62
resnest50d_4s2x40d,167.22,1529.64,256,224,30.42
resnet200d,166.19,382.131,64,320,64.69
volo_d3_224,162.25,391.709,64,224,86.33
regnetx_040,161.87,2371.182,384,224,22.12
vit_large_patch32_384,161.83,591.666,96,384,306.63
efficientnet_b3_gn,160.22,397.781,64,320,11.73
swin_large_patch4_window7_224,151.35,420.987,64,224,196.53
regnetx_080,150.02,2558.515,384,224,39.57
regnety_040s_gn,149.61,853.983,128,224,20.65
efficientnetv2_m,149.31,318.263,48,416,54.14
ssl_resnext101_32x8d,147.46,866.477,128,224,88.79
resnext101_32x8d,147.32,867.312,128,224,88.79
swsl_resnext101_32x8d,147.16,868.264,128,224,88.79
ig_resnext101_32x8d,146.91,869.691,128,224,88.79
regnetz_e8,146.27,326.163,48,320,57.7
resnetv2_50x1_bitm,140.77,340.162,48,448,25.55
seresnet269d,137.16,460.633,64,256,113.67
xcit_large_24_p16_224,136.77,464.553,64,224,189.1
xcit_large_24_p16_224_dist,136.73,464.738,64,224,189.1
xcit_tiny_12_p8_384_dist,128.06,373.098,48,384,6.71
efficientnetv2_rw_m,126.21,250.013,32,416,53.24
regnetx_064,124.13,2061.422,256,224,26.21
resnetrs200,123.75,383.587,48,320,93.21
dm_nfnet_f0,121.58,2104.417,256,256,71.49
swin_v2_cr_large_224,120.98,394.327,48,224,196.68
regnety_040,120.25,1595.17,192,288,20.65
nfnet_f0,119.63,2138.729,256,256,71.49
regnetv_040,118.92,1074.873,128,288,20.64
ese_vovnet99b_iabn,118.27,3243.951,384,224,63.2
xcit_small_24_p16_384_dist,117.41,405.393,48,384,47.67
regnetz_b16_evos,117.22,544.08,64,288,9.74
crossvit_15_dagger_408,116.43,273.026,32,408,28.5
efficientnet_b0_g8_gn,115.43,2216.717,256,224,6.56
vit_large_patch16_224,115.39,553.095,64,224,304.33
regnetz_c16_evos,115.15,414.978,48,320,13.49
vit_base_patch16_18x2_224,114.12,558.126,64,224,256.73
convnext_xlarge_in22ft1k,114.03,559.475,64,224,350.2
convnext_tiny_384_in22ft1k,112.53,424.859,48,384,88.59
convnext_small_384_in22ft1k,112.49,424.983,48,384,88.59
convnext_base_384_in22ft1k,112.43,425.187,48,384,88.59
swin_v2_cr_tiny_384,111.07,286.85,32,384,28.33
tf_efficientnetv2_m,109.5,289.071,32,480,54.14
tf_efficientnetv2_m_in21ft1k,109.37,289.435,32,480,54.14
beit_large_patch16_224,106.59,598.365,64,224,304.43
volo_d1_384,104.96,303.527,32,384,26.78
tresnet_l,104.79,4882.686,512,224,55.99
repvgg_b2g4,102.33,5002.104,512,224,61.76
eca_nfnet_l1,101.26,1262.246,128,320,41.41
volo_d4_224,101.17,471.916,48,224,192.96
cspdarknet53_iabn,98.65,3890.155,384,256,27.64
cait_xxs24_384,98.52,484.701,48,384,12.03
efficientnet_b5,97.28,326.485,32,456,30.39
tf_efficientnet_b5,95.75,331.792,32,456,30.39
tf_efficientnet_b5_ns,95.73,331.833,32,456,30.39
vit_base_patch16_384,95.69,333.568,32,384,86.86
deit_base_patch16_384,95.67,333.658,32,384,86.86
regnetz_d8_evos,95.66,332.456,32,320,23.46
tf_efficientnet_b5_ap,95.45,332.725,32,456,30.39
regnetz_040,94.56,674.98,64,320,27.12
regnetz_040h,94.14,678.01,64,320,28.94
deit_base_distilled_patch16_384,93.65,340.87,32,384,87.63
tresnet_xl,90.76,4227.401,384,224,78.44
cspresnext50_iabn,89.98,4265.102,384,256,20.57
resnest101e,89.71,1424.366,128,256,48.28
crossvit_18_dagger_408,87.99,361.633,32,408,44.61
xcit_small_24_p8_224,87.73,361.414,32,224,47.63
xcit_small_24_p8_224_dist,87.7,361.441,32,224,47.63
resnetv2_101x1_bitm,86.89,366.637,32,448,44.54
nf_regnet_b5,86.53,736.892,64,456,49.74
resnetv2_152x2_bit_teacher,86.4,368.012,32,224,236.34
repvgg_b3g4,84.75,4530.071,384,224,83.83
vit_large_patch14_224,84.3,567.814,48,224,304.2
beit_base_patch16_384,82.73,385.724,32,384,86.74
seresnext101_32x8d,81.65,781.61,64,288,93.57
xcit_medium_24_p16_384_dist,81.08,391.168,32,384,84.4
ecaresnet269d,77.88,406.425,32,352,102.09
regnetx_120,77.54,3300.773,256,224,46.11
pnasnet5large,76.44,414.721,32,331,86.06
vit_large_r50_s32_384,75.76,419.984,32,384,329.09
regnety_120,75.34,2547.007,192,224,51.82
resnetrs270,75.27,419.128,32,352,129.86
swin_base_patch4_window12_384,73.61,432.836,32,384,87.9
regnety_064,72.69,1759.173,128,288,30.58
regnetz_d32,72.18,885.049,64,320,27.58
regnetv_064,71.81,1780.738,128,288,30.58
resmlp_big_24_224,68.34,466.717,32,224,129.14
resmlp_big_24_224_in22ft1k,68.31,466.955,32,224,129.14
resmlp_big_24_distilled_224,68.26,467.278,32,224,129.14
regnety_320,67.49,1895.092,128,224,145.05
nasnetalarge,66.93,473.19,32,331,88.75
swin_v2_cr_small_384,66.26,359.874,24,384,49.7
cait_xs24_384,65.98,482.447,32,384,26.67
regnety_080,65.45,1954.421,128,288,39.18
regnetx_160,65.01,2952.336,192,224,54.28
xcit_tiny_24_p8_384_dist,64.61,492.002,32,384,12.11
volo_d5_224,64.26,494.733,32,224,295.46
cait_xxs36_384,63.75,498.023,32,384,17.37
vit_base_patch8_224,62.96,380.293,24,224,86.58
xcit_medium_24_p8_224,62.71,506.97,32,224,84.32
xcit_medium_24_p8_224_dist,62.63,507.407,32,224,84.32
efficientnet_b3_g8_gn,62.43,1023.448,64,320,14.25
convnext_large_384_in22ft1k,61.7,516.836,32,384,197.77
convmixer_1024_20_ks9_p14,61.37,4170.722,256,224,24.38
efficientnet_b0_g16_evos,60.46,6350.16,384,224,8.11
tf_efficientnetv2_l_in21ft1k,60.25,261.19,16,480,118.52
xcit_small_12_p8_384_dist,60.04,398.02,24,384,26.21
efficientnetv2_l,59.19,265.957,16,480,118.52
vit_base_resnet50_384,59.0,405.136,24,384,98.95
tf_efficientnetv2_l,58.87,267.382,16,480,118.52
vit_base_r50_s16_384,58.85,406.196,24,384,98.95
volo_d2_384,58.21,273.125,16,384,58.87
tresnet_m_448,53.55,3582.526,192,448,31.39
cait_s24_384,49.8,479.385,24,384,47.06
regnety_160,48.14,1993.0,96,288,83.59
ig_resnext101_32x16d,47.52,2018.737,96,224,194.03
swsl_resnext101_32x16d,47.43,2022.391,96,224,194.03
xcit_large_24_p16_384_dist,47.39,502.961,24,384,189.1
ssl_resnext101_32x16d,47.29,2028.601,96,224,194.03
resnetrs350,47.22,500.442,24,384,163.96
swin_v2_cr_base_384,47.19,336.677,16,384,87.88
swin_v2_cr_huge_224,46.26,343.404,16,224,657.83
regnetx_320,46.16,2771.769,128,224,107.81
eca_nfnet_l2,44.82,1425.204,64,384,56.72
efficientnet_b6,42.73,371.597,16,528,43.04
tf_efficientnet_b6,41.54,382.29,16,528,43.04
tf_efficientnet_b6_ns,41.5,382.621,16,528,43.04
tf_efficientnet_b6_ap,41.36,384.088,16,528,43.04
swin_large_patch4_window12_384,41.02,388.265,16,384,196.74
nfnet_f1,40.44,2371.478,96,320,132.63
vit_huge_patch14_224,39.64,401.543,16,224,632.05
dm_nfnet_f1,38.26,1670.645,64,320,132.63
convnext_xlarge_384_in22ft1k,37.04,430.195,16,384,350.2
efficientnet_b7,36.68,214.625,8,600,66.35
efficientnetv2_xl,36.54,322.755,12,512,208.12
tf_efficientnetv2_xl_in21ft1k,36.36,324.371,12,512,208.12
tf_efficientnet_b7_ap,36.21,217.402,8,600,66.35
tf_efficientnet_b7,36.05,218.422,8,600,66.35
tf_efficientnet_b7_ns,35.41,221.975,8,600,66.35
xcit_large_24_p8_224,34.96,454.269,16,224,188.93
xcit_large_24_p8_224_dist,34.92,454.696,16,224,188.93
resnetrs420,32.2,487.619,16,416,191.89
cait_s36_384,32.09,494.814,16,384,68.37
resnest200e,32.0,1494.763,48,320,70.2
densenet264d_iabn,31.93,4003.992,128,224,72.74
resnetv2_50x3_bitm,31.81,502.194,16,448,217.32
xcit_small_24_p8_384_dist,29.97,396.971,12,384,47.63
resnetv2_152x2_bit_teacher_384,29.92,398.698,12,384,236.34
vit_large_patch16_384,28.85,414.372,12,384,304.72
swin_v2_cr_large_384,28.47,419.18,12,384,196.68
tresnet_l_448,25.64,4988.984,128,448,55.99
beit_large_patch16_384,25.11,475.839,12,384,305.0
volo_d3_448,24.79,320.233,8,448,86.63
eca_nfnet_l3,24.19,1319.468,32,448,72.04
tresnet_xl_448,23.17,4140.191,96,448,78.44
nfnet_f2,22.36,2143.929,48,352,193.78
vit_giant_patch14_224,22.25,356.944,8,224,1012.61
dm_nfnet_f2,22.12,2166.49,48,352,193.78
efficientnet_cc_b0_8e,21.78,44.083,1,224,24.01
resnetv2_152x2_bitm,21.74,365.619,8,448,236.34
tf_efficientnet_cc_b0_4e,21.44,44.859,1,224,13.31
tf_efficientnet_cc_b0_8e,20.98,45.875,1,224,24.01
xcit_medium_24_p8_384_dist,20.42,388.21,8,384,84.32
efficientnet_cc_b0_4e,20.36,47.276,1,224,13.31
ig_resnext101_32x32d,18.17,1760.063,32,224,468.53
volo_d4_448,17.6,338.311,6,448,193.41
resnetv2_101x3_bitm,17.53,454.801,8,448,387.93
tf_efficientnet_cc_b1_8e,17.15,56.006,1,240,39.72
efficientnet_cc_b1_8e,16.21,59.398,1,240,39.72
resnest269e,13.09,1826.778,24,416,110.93
tf_efficientnet_b8_ap,12.18,488.771,6,672,87.41
efficientnet_b8,12.12,491.31,6,672,87.41
nfnet_f3,12.08,1982.52,24,416,254.92
xcit_large_24_p8_384_dist,11.91,500.622,6,384,188.93
tf_efficientnet_b8,11.9,500.516,6,672,87.41
cait_m36_384,11.87,501.638,6,384,271.22
dm_nfnet_f3,11.74,2040.434,24,416,254.92
volo_d5_448,11.52,343.952,4,448,295.91
swin_v2_cr_huge_384,10.9,364.423,4,384,657.94
convmixer_1536_20,9.63,4981.706,48,224,51.63
beit_large_patch16_512,9.42,422.773,4,512,305.67
tf_efficientnet_l2_ns_475,9.0,327.787,3,475,480.31
ig_resnext101_32x48d,8.5,1880.808,16,224,828.41
volo_d5_512,8.05,369.448,3,512,296.09
nfnet_f4,6.47,1849.874,12,512,316.07
dm_nfnet_f4,6.2,1929.065,12,512,316.07
cait_m48_448,4.75,415.897,2,448,356.46
nfnet_f5,4.63,1719.792,8,544,377.21
resnetv2_152x4_bitm,4.49,443.185,2,480,936.53
dm_nfnet_f5,4.47,1782.137,8,544,377.21
nfnet_f6,3.5,1707.387,6,576,438.36
dm_nfnet_f6,3.39,1759.608,6,576,438.36
nfnet_f7,2.67,1489.771,4,608,499.5
efficientnet_l2,2.09,473.733,1,800,480.31
tf_efficientnet_l2_ns,2.09,474.031,1,800,480.31
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 tinynet_e 10725.36 46.047 512 106 2.04
3 mobilenetv3_small_050 9864.52 50.786 512 224 1.59
4 lcnet_035 9593.72 52.888 512 224 1.64
5 lcnet_050 8283.82 61.296 512 224 1.88
6 tf_mobilenetv3_small_minimal_100 8178.73 62.055 512 224 2.04
7 tinynet_d 7987.22 63.336 512 152 2.34
8 mobilenetv3_small_075 7734.29 65.482 512 224 2.04
9 mobilenetv3_small_100 7481.49 67.702 512 224 2.54
10 tf_mobilenetv3_small_075 7093.89 71.455 512 224 2.04
11 tf_mobilenetv3_small_100 6879.11 73.705 512 224 2.54
12 levit_128s 6303.14 80.293 512 224 7.78
13 lcnet_075 5742.95 88.676 512 224 2.36
14 lcnet_100 5331.75 95.531 512 224 2.95
15 mixer_s32_224 4714.36 108.029 512 224 19.1
16 mnasnet_small 4652.19 109.156 512 224 2.03
17 mnasnet_050 4534.41 112.14 512 224 2.22
18 levit_128 4434.56 114.332 512 224 9.21
19 vit_small_patch32_224 4334.06 117.284 512 224 22.88
20 mobilenetv2_035 4197.24 121.203 512 224 1.68
21 tinynet_c 4165.97 121.921 512 184 2.46
22 gernet_s 4117.74 123.649 512 224 8.17
23 semnasnet_050 4027.14 126.223 512 224 2.08
24 vit_tiny_r_s16_p8_224 3857.49 131.88 512 224 6.34
25 levit_192 3823.94 132.765 512 224 10.95
26 lcnet_150 3663.02 139.3 512 224 4.5
27 resnet18 3584.19 142.504 512 224 11.69
28 gluon_resnet18_v1b 3584.07 142.508 512 224 11.69
29 swsl_resnet18 3583.72 142.531 512 224 11.69
30 ssl_resnet18 3558.1 143.543 512 224 11.69
31 mobilenetv2_050 3541.93 143.76 512 224 1.97
32 mobilenetv3_large_075 3343.71 152.255 512 224 3.99
33 ese_vovnet19b_slim_dw 3243.14 157.395 512 224 1.9
34 tf_mobilenetv3_large_minimal_100 3227.09 157.922 512 224 3.92
35 seresnet18 3222.19 158.398 512 224 11.78
36 legacy_seresnet18 3130.77 163.021 512 224 11.78
37 tf_mobilenetv3_large_075 3109.15 163.824 512 224 3.99
38 mnasnet_075 3102.76 164.235 512 224 3.17
39 ghostnet_050 3069.54 165.437 512 224 2.59
40 mobilenetv3_rw 3020.36 168.644 512 224 5.48
41 mobilenetv3_large_100 2997.0 169.969 512 224 5.48
42 mobilenetv3_large_100_miil 2996.51 169.991 512 224 5.48
43 levit_256 2923.52 174.041 512 224 18.89
44 hardcorenas_a 2875.54 177.351 512 224 5.26
45 resnet18d 2830.02 180.547 512 224 11.71
46 mnasnet_b1 2826.42 180.324 512 224 4.38
47 mnasnet_100 2810.01 181.39 512 224 4.38
48 tf_mobilenetv3_large_100 2800.51 181.961 512 224 5.48
49 tinynet_b 2773.33 183.58 512 188 3.73
50 hardcorenas_b 2665.39 191.158 512 224 5.18
51 semnasnet_075 2649.51 192.342 512 224 2.91
52 hardcorenas_c 2643.17 192.764 512 224 5.52
53 ese_vovnet19b_slim 2613.26 195.551 512 224 3.17
54 mobilenetv2_075 2538.45 200.896 512 224 2.64
55 tf_efficientnetv2_b0 2507.59 202.986 512 224 7.14
56 spnasnet_100 2504.82 203.411 512 224 4.42
57 levit_256d 2485.6 204.456 512 224 26.21
58 hardcorenas_d 2483.8 204.983 512 224 7.5
59 semnasnet_100 2411.15 211.44 512 224 3.89
60 mnasnet_a1 2396.96 212.676 512 224 3.89
61 mobilenetv2_100 2381.65 214.209 512 224 3.5
62 regnetx_002 2371.97 215.169 512 224 2.68
63 tinynet_a 2274.6 223.875 512 192 6.19
64 regnety_002 2255.16 226.095 512 224 3.16
65 ghostnet_100 2251.56 226.062 512 224 5.18
66 fbnetc_100 2248.09 226.804 512 224 5.57
67 deit_tiny_patch16_224 2233.8 228.385 512 224 5.72
68 vit_tiny_patch16_224 2229.44 228.819 512 224 5.72
69 efficientnet_lite0 2209.28 231.003 512 224 4.65
70 hardcorenas_f 2207.45 230.839 512 224 8.2
71 deit_tiny_distilled_patch16_224 2193.62 232.567 512 224 5.91
72 hardcorenas_e 2183.35 233.392 512 224 8.07
73 xcit_nano_12_p16_224_dist 2148.4 236.588 512 224 3.05
74 xcit_nano_12_p16_224 2147.35 236.626 512 224 3.05
75 tv_resnet34 2081.13 245.45 512 224 21.8
76 resnet34 2080.93 245.474 512 224 21.8
77 gluon_resnet34_v1b 2070.75 246.674 512 224 21.8
78 pit_ti_distilled_224 2069.0 246.563 512 224 5.1
79 pit_ti_224 2067.14 246.798 512 224 4.85
80 tf_efficientnet_lite0 2051.57 248.83 512 224 4.65
81 skresnet18 2011.18 253.956 512 224 11.96
82 resnet26 1965.66 259.994 512 224 16.0
83 resnetblur18 1945.89 262.773 512 224 11.69
84 gernet_m 1920.15 265.947 512 224 21.14
85 ese_vovnet19b_dw 1905.39 268.216 512 224 6.54
86 nf_resnet26 1877.61 272.201 512 224 16.0
87 hrnet_w18_small 1858.6 274.127 512 224 13.19
88 seresnet34 1854.8 275.134 512 224 21.96
89 mnasnet_140 1835.61 278.136 512 224 7.12
90 legacy_seresnet34 1814.57 281.284 512 224 21.96
91 efficientnet_b0 1800.57 212.181 384 224 5.29
92 levit_384 1799.63 283.374 512 224 39.13
93 resnet34d 1799.03 284.0 512 224 21.82
94 mobilenetv2_110d 1768.64 216.1 384 224 4.52
95 rexnetr_100 1759.23 217.141 384 224 4.88
96 selecsls42 1754.3 291.22 512 224 30.35
97 selecsls42b 1748.59 292.176 512 224 32.46
98 mixer_b32_224 1728.02 295.478 512 224 60.29
99 tf_efficientnet_b0_ns 1702.0 224.532 384 224 5.29
100 tf_efficientnet_b0_ap 1700.69 224.751 384 224 5.29
101 tf_efficientnet_b0 1700.24 224.78 384 224 5.29
102 mixer_s16_224 1649.18 309.899 512 224 18.53
103 semnasnet_140 1640.99 311.119 512 224 6.11
104 tf_efficientnet_es 1622.88 314.744 512 224 5.44
105 efficientnet_es 1618.83 315.528 512 224 5.44
106 efficientnet_es_pruned 1616.07 316.054 512 224 5.44
107 vit_base_patch32_224_sam 1613.76 316.429 512 224 88.22
108 vit_base_patch32_224 1612.96 316.587 512 224 88.22
109 resnet26d 1609.37 317.63 512 224 16.01
110 tf_efficientnetv2_b1 1607.05 237.525 384 240 8.14
111 ghostnet_130 1600.19 318.63 512 224 7.36
112 pit_xs_distilled_224 1591.2 320.859 512 224 11.0
113 pit_xs_224 1589.39 321.258 512 224 10.62
114 repvgg_b0 1586.15 321.714 512 224 15.82
115 resmlp_12_224 1552.02 329.099 512 224 15.35
116 resmlp_12_distilled_224 1551.98 329.119 512 224 15.35
117 gmixer_12_224 1551.47 329.195 512 224 12.7
118 mobilenetv2_140 1539.46 248.646 384 224 6.11
119 mobilevit_xxs 1515.36 252.293 384 256 1.27
120 selecsls60 1486.56 343.544 512 224 30.67
121 selecsls60b 1480.82 344.867 512 224 32.77
122 nf_seresnet26 1471.47 347.302 512 224 17.4
123 xcit_tiny_12_p16_224 1422.37 358.218 512 224 6.72
124 xcit_tiny_12_p16_224_dist 1420.76 358.558 512 224 6.72
125 efficientnet_lite1 1418.67 179.483 256 240 5.42
126 vit_small_patch32_384 1414.68 361.045 512 384 22.92
127 efficientnet_b1_pruned 1384.32 368.407 512 240 6.33
128 gmlp_ti16_224 1378.39 276.995 384 224 5.87
129 dla46_c 1367.99 373.533 512 224 1.3
130 nf_ecaresnet26 1361.11 375.605 512 224 16.0
131 poolformer_s12 1359.83 375.831 512 224 11.92
132 rexnetr_130 1350.37 188.438 256 224 7.61
133 tf_efficientnet_lite1 1343.78 189.557 256 240 5.42
134 crossvit_tiny_240 1320.33 386.159 512 240 7.01
135 mobilenetv2_120d 1309.71 194.276 256 224 5.83
136 resnetv2_50 1296.0 394.281 512 224 25.55
137 gernet_l 1283.32 398.106 512 256 31.08
138 rexnet_100 1277.92 299.324 384 224 4.8
139 crossvit_9_240 1236.5 309.16 384 240 8.55
140 resnet26t 1227.85 416.475 512 256 16.01
141 ssl_resnet50 1223.5 417.643 512 224 25.56
142 resnet50 1222.61 417.956 512 224 25.56
143 tv_resnet50 1222.03 418.147 512 224 25.56
144 swsl_resnet50 1222.0 418.189 512 224 25.56
145 gluon_resnet50_v1b 1221.97 418.181 512 224 25.56
146 crossvit_9_dagger_240 1195.59 319.731 384 240 8.78
147 vit_tiny_r_s16_p8_384 1193.45 320.912 384 384 6.36
148 rexnetr_150 1185.63 214.799 256 224 9.78
149 fbnetv3_b 1184.86 322.487 384 256 8.6
150 botnet26t_256 1168.73 327.971 384 256 12.49
151 tf_efficientnetv2_b2 1157.41 219.649 256 260 10.1
152 regnetx_004 1150.82 443.834 512 224 5.16
153 repvgg_a2 1142.14 447.42 512 224 28.21
154 skresnet34 1140.48 447.803 512 224 22.28
155 resnetv2_50t 1134.35 450.541 512 224 25.57
156 fbnetv3_d 1133.65 223.966 256 256 10.31
157 resnetv2_50d 1131.93 451.499 512 224 25.57
158 gluon_resnet50_v1c 1131.41 338.54 384 224 25.58
159 halonet26t 1122.34 341.57 384 256 12.48
160 convit_tiny 1108.09 461.02 512 224 5.71
161 efficientnet_lite2 1096.26 232.544 256 260 6.09
162 dla34 1094.33 467.287 512 224 15.74
163 convnext_nano_hnf 1075.54 356.227 384 224 15.59
164 resnet50d 1070.21 357.929 384 224 25.58
165 gluon_resnet50_v1d 1070.13 357.997 384 224 25.58
166 resnet50t 1068.62 358.508 384 224 25.57
167 mixnet_s 1051.2 485.837 512 224 4.13
168 legacy_seresnext26_32x4d 1051.18 486.414 512 224 16.79
169 tf_efficientnet_lite2 1045.58 243.879 256 260 6.09
170 vit_small_resnet26d_224 1042.37 367.395 384 224 63.61
171 deit_small_patch16_224 1032.62 371.017 384 224 22.05
172 vit_small_patch16_224 1027.63 372.823 384 224 22.05
173 regnety_004 1027.25 497.255 512 224 4.34
174 tf_efficientnet_b1_ns 1026.16 247.955 256 240 7.79
175 tf_efficientnet_b1_ap 1026.11 248.006 256 240 7.79
176 tf_efficientnet_b1 1025.11 248.193 256 240 7.79
177 resnet32ts 1021.77 249.96 256 256 17.96
178 deit_small_distilled_patch16_224 1010.79 379.058 384 224 22.44
179 resnet33ts 1009.39 252.998 256 256 19.68
180 res2net50_48w_2s 1006.25 380.82 384 224 25.29
181 vovnet39a 1004.46 509.092 512 224 22.6
182 seresnext26d_32x4d 1002.27 382.471 384 224 16.81
183 seresnext26t_32x4d 1001.74 382.665 384 224 16.81
184 seresnext26tn_32x4d 1001.47 382.779 384 224 16.81
185 legacy_seresnet50 993.86 385.256 384 224 28.09
186 tf_efficientnet_em 979.63 260.356 256 240 6.9
187 efficientnet_em 978.46 260.687 256 240 6.9
188 dla46x_c 973.77 525.047 512 224 1.07
189 eca_resnet33ts 964.39 264.788 256 256 19.68
190 pit_s_224 961.0 265.507 256 224 23.46
191 pit_s_distilled_224 960.14 265.718 256 224 24.04
192 tf_mixnet_s 958.59 532.877 512 224 4.13
193 seresnet50 956.87 400.165 384 224 28.09
194 efficientnet_b1 954.91 266.596 256 256 7.79
195 seresnet33ts 954.85 267.313 256 256 19.78
196 ecaresnetlight 952.86 536.422 512 224 30.16
197 vit_base2_patch32_256 950.48 537.853 512 256 119.46
198 ese_vovnet39b 947.73 539.578 512 224 24.57
199 ecaresnext50t_32x4d 947.69 404.65 384 224 15.41
200 ecaresnext26t_32x4d 947.22 404.844 384 224 15.41
201 dla60 945.45 405.196 384 224 22.04
202 gluon_resnet50_v1s 943.31 406.227 384 224 25.68
203 resnetaa50d 941.94 406.82 384 224 25.58
204 eca_vovnet39b 939.18 544.514 512 224 22.6
205 vgg11 930.6 550.023 512 224 132.86
206 gcresnet33ts 927.58 274.995 256 256 19.88
207 lambda_resnet26rpt_256 921.55 207.755 192 256 10.99
208 dla60x_c 921.01 554.951 512 224 1.32
209 ecaresnet50d_pruned 911.85 560.565 512 224 19.94
210 resnetblur50 909.58 421.362 384 224 25.56
211 mobilevit_xs 909.51 210.0 192 256 2.32
212 cspresnet50 906.79 422.612 384 256 21.62
213 rexnetr_200 896.75 212.966 192 224 16.52
214 coat_lite_tiny 890.79 430.193 384 224 5.72
215 nf_seresnet50 886.81 431.807 384 224 28.09
216 dpn68b 878.29 436.039 384 224 12.61
217 selecsls84 872.56 585.545 512 224 50.95
218 twins_svt_small 868.85 440.366 384 224 24.06
219 hrnet_w18_small_v2 867.42 587.948 512 224 15.6
220 seresnet50t 865.51 442.504 384 224 28.1
221 cspresnext50 862.61 444.309 384 224 20.57
222 resnetrs50 861.96 444.354 384 224 35.69
223 cspresnet50w 860.12 445.567 384 256 28.12
224 cspresnet50d 849.09 451.363 384 256 21.64
225 densenet121 845.28 301.077 256 224 7.98
226 tv_densenet121 845.28 301.063 256 224 7.98
227 rexnet_150 842.23 302.82 256 224 9.73
228 tv_resnext50_32x4d 836.18 458.41 384 224 25.03
229 swsl_resnext50_32x4d 836.09 458.464 384 224 25.03
230 res2net50_26w_4s 835.77 458.208 384 224 25.7
231 coat_lite_mini 833.77 459.672 384 224 11.01
232 vit_base_resnet26d_224 833.37 459.491 384 224 101.4
233 resnext50_32x4d 832.87 460.244 384 224 25.03
234 ssl_resnext50_32x4d 832.34 460.521 384 224 25.03
235 dpn68 831.95 460.44 384 224 12.61
236 gluon_resnext50_32x4d 831.77 460.799 384 224 25.03
237 vovnet57a 828.64 616.994 512 224 36.64
238 efficientnet_b2_pruned 825.77 308.457 256 260 8.31
239 resnetblur50d 818.48 311.928 256 224 25.58
240 skresnet50 810.12 472.628 384 224 25.8
241 tf_efficientnet_b2_ap 809.72 235.646 192 260 9.11
242 tf_efficientnet_b2_ns 809.32 235.717 192 260 9.11
243 tf_efficientnet_b2 809.06 235.843 192 260 9.11
244 vgg11_bn 805.38 476.555 384 224 132.87
245 densenet121d 805.31 316.045 256 224 8.0
246 nf_ecaresnet50 804.89 476.102 384 224 25.56
247 rexnet_130 801.42 318.304 256 224 7.56
248 ecaresnet50d 793.07 483.245 384 224 25.58
249 ese_vovnet57b 790.94 484.567 384 224 38.61
250 regnetx_006 790.56 646.782 512 224 6.2
251 gcresnet50t 788.09 323.372 256 256 25.9
252 regnety_006 787.76 648.873 512 224 6.06
253 convnext_tiny 781.17 326.737 256 224 28.59
254 tf_inception_v3 774.78 494.217 384 299 23.83
255 gluon_inception_v3 774.48 494.404 384 299 23.83
256 seresnetaa50d 773.82 329.682 256 224 28.11
257 inception_v3 772.99 495.38 384 299 23.83
258 adv_inception_v3 769.85 497.351 384 299 23.83
259 resmlp_24_distilled_224 767.92 331.893 256 224 30.02
260 resnext50d_32x4d 765.61 333.516 256 224 25.05
261 resmlp_24_224 762.25 334.383 256 224 30.02
262 gmixer_24_224 759.72 335.461 256 224 24.72
263 resnetv2_101 757.49 336.449 256 224 44.54
264 res2net50_14w_8s 756.34 336.303 256 224 25.06
265 xcit_nano_12_p16_384_dist 754.95 337.338 256 384 3.05
266 sehalonet33ts 749.52 340.746 256 256 13.69
267 densenetblur121d 739.98 344.167 256 224 8.0
268 dla60_res2net 736.45 346.205 256 224 20.85
269 skresnet50d 736.23 346.324 256 224 25.82
270 mobilevit_s 734.66 260.236 192 256 5.58
271 gluon_resnet101_v1b 731.02 348.601 256 224 44.55
272 tv_resnet101 727.65 350.31 256 224 44.55
273 resnet101 727.5 350.369 256 224 44.55
274 xcit_tiny_24_p16_224 726.25 349.143 256 224 12.12
275 xcit_tiny_24_p16_224_dist 725.28 349.489 256 224 12.12
276 efficientnet_b2 724.21 263.654 192 288 9.11
277 twins_pcpvt_small 724.17 351.883 256 224 24.11
278 efficientnet_b2a 723.56 263.856 192 288 9.11
279 ecaresnet101d_pruned 714.19 715.116 512 224 24.88
280 nf_resnet50 710.87 539.322 384 288 25.56
281 nf_resnet101 707.69 540.968 384 224 44.55
282 seresnext50_32x4d 706.91 361.01 256 224 27.56
283 gluon_seresnext50_32x4d 706.58 361.114 256 224 27.56
284 efficientnet_b0_gn 705.84 361.599 256 224 5.29
285 legacy_seresnext50_32x4d 704.96 362.028 256 224 27.56
286 nf_regnet_b0 703.19 726.933 512 256 8.76
287 darknet53 701.97 363.892 256 256 41.61
288 resnetv2_101d 699.92 364.177 256 224 44.56
289 densenet169 698.35 364.121 256 224 14.15
290 gluon_resnet101_v1c 697.85 365.313 256 224 44.57
291 dla60x 694.54 367.645 256 224 17.35
292 poolformer_s24 690.11 369.675 256 224 21.39
293 semobilevit_s 684.71 279.143 192 256 5.74
294 efficientnetv2_rw_t 684.48 278.424 192 288 13.65
295 vit_small_r26_s32_224 682.34 373.878 256 224 36.43
296 convnext_tiny_hnf 681.83 374.501 256 224 28.59
297 gluon_resnet101_v1d 674.08 378.237 256 224 44.57
298 tf_efficientnetv2_b3 670.7 284.467 192 300 14.36
299 xcit_small_12_p16_224 670.22 380.208 256 224 26.25
300 xcit_small_12_p16_224_dist 669.97 380.26 256 224 26.25
301 sebotnet33ts_256 666.38 191.3 128 256 13.7
302 rexnet_200 665.99 287.162 192 224 16.37
303 vgg13 663.21 578.818 384 224 133.05
304 regnety_008 661.82 772.637 512 224 6.26
305 wide_resnet50_2 661.04 580.088 384 224 68.88
306 dla102 650.38 392.047 256 224 33.27
307 gmlp_s16_224 648.9 294.316 192 224 19.42
308 vit_base_resnet50d_224 646.39 394.444 256 224 110.97
309 swin_tiny_patch4_window7_224 639.35 399.428 256 224 28.29
310 ecaresnet26t 628.75 406.586 256 320 16.01
311 repvgg_b1 627.31 815.089 512 224 57.42
312 gluon_resnet101_v1s 624.3 408.497 256 224 44.67
313 crossvit_small_240 624.04 408.587 256 240 26.86
314 resnetaa101d 621.23 410.532 256 224 44.57
315 eca_botnext26ts_256 618.03 413.613 256 256 10.59
316 resnext26ts 615.62 623.252 384 256 10.3
317 gc_efficientnetv2_rw_t 605.04 314.593 192 288 13.68
318 eca_halonext26ts 604.41 422.932 256 256 10.76
319 seresnext26ts 598.53 427.051 256 256 10.39
320 eca_resnext26ts 598.25 427.346 256 256 10.3
321 convnext_tiny_hnfd 592.58 430.992 256 224 28.63
322 regnetx_008 591.8 864.35 512 224 7.26
323 resnetv2_50x1_bit_distilled 589.64 324.794 192 224 25.55
324 legacy_seresnet101 588.41 432.899 256 224 49.33
325 gcresnext26ts 585.17 436.656 256 256 10.48
326 halonet50ts 584.39 327.573 192 256 22.73
327 xcit_nano_12_p8_224 583.42 437.05 256 224 3.05
328 cait_xxs24_224 582.93 436.673 256 224 11.96
329 xcit_nano_12_p8_224_dist 581.01 438.848 256 224 3.05
330 mixer_b16_224 580.44 440.268 256 224 59.88
331 mixer_b16_224_miil 579.94 440.653 256 224 59.88
332 swin_s3_tiny_224 578.76 441.339 256 224 28.33
333 seresnet101 574.05 443.691 256 224 49.33
334 mixnet_m 573.23 891.634 512 224 5.01
335 res2net50_26w_6s 569.28 447.908 256 224 37.05
336 vgg13_bn 568.79 449.813 256 224 133.05
337 crossvit_15_240 568.46 335.957 192 240 27.53
338 resnetblur101d 567.71 449.352 256 224 44.57
339 cspdarknet53 565.64 451.547 256 256 27.64
340 efficientnet_lite3 563.01 226.244 128 300 8.2
341 tf_efficientnet_lite3 561.05 227.067 128 300 8.2
342 crossvit_15_dagger_240 549.96 347.22 192 240 28.21
343 resnext101_32x4d 548.6 465.031 256 224 44.18
344 tf_mixnet_m 547.03 700.438 384 224 5.01
345 swsl_resnext101_32x4d 546.13 467.192 256 224 44.18
346 gluon_resnext101_32x4d 545.31 467.899 256 224 44.18
347 ssl_resnext101_32x4d 545.31 467.944 256 224 44.18
348 densenet201 539.32 353.029 192 224 20.01
349 vgg16 536.49 715.548 384 224 138.36
350 bat_resnext26ts 533.44 478.688 256 256 10.73
351 nf_seresnet101 532.2 478.733 256 224 49.33
352 vit_base_r26_s32_224 528.57 361.981 192 224 101.38
353 resnetv2_152 524.49 485.916 256 224 60.19
354 botnet50ts_256 524.41 243.109 128 256 22.74
355 res2net101_26w_4s 523.46 486.536 256 224 45.21
356 efficientnet_b3_pruned 519.43 491.117 256 300 9.86
357 vit_base_patch32_384 517.32 494.013 256 384 88.3
358 vit_large_patch32_224 511.41 498.976 256 224 306.54
359 halo2botnet50ts_256 510.64 375.017 192 256 22.64
360 mixer_l32_224 510.1 374.908 192 224 206.94
361 swin_v2_cr_tiny_224 506.89 377.55 192 224 28.33
362 resmlp_36_distilled_224 505.72 377.435 192 224 44.69
363 resmlp_36_224 505.39 377.735 192 224 44.69
364 vit_tiny_patch16_384 503.94 253.174 128 384 5.79
365 res2next50 502.84 507.818 256 224 24.67
366 dla102x 501.98 380.938 192 224 26.31
367 swin_v2_cr_tiny_ns_224 501.36 381.688 192 224 28.33
368 resnet152 499.83 381.783 192 224 60.19
369 gluon_resnet152_v1b 499.79 381.933 192 224 60.19
370 tv_resnet152 496.47 384.401 192 224 60.19
371 xception 494.06 258.29 128 299 22.86
372 visformer_tiny 491.83 1040.332 512 224 10.32
373 mixnet_l 488.23 784.993 384 224 7.33
374 gluon_resnet152_v1c 485.58 393.139 192 224 60.21
375 resnet50_gn 484.73 395.256 192 224 25.56
376 resnetv2_152d 484.59 393.938 192 224 60.2
377 twins_pcpvt_base 480.18 397.102 192 224 43.83
378 nest_tiny 477.31 267.267 128 224 17.06
379 res2net50_26w_8s 476.93 534.581 256 224 48.4
380 ecaresnet101d 475.58 536.508 256 224 44.57
381 convnext_small 473.89 403.445 192 224 50.22
382 gluon_resnet152_v1d 473.52 403.216 192 224 60.21
383 tf_mixnet_l 470.86 542.123 256 224 7.33
384 jx_nest_tiny 470.71 271.015 128 224 17.06
385 vgg16_bn 469.97 544.386 256 224 138.37
386 nf_ecaresnet101 465.87 547.628 256 224 44.55
387 coat_lite_small 463.34 412.922 192 224 19.84
388 poolformer_s36 458.24 417.134 192 224 30.86
389 efficientnet_el 455.42 279.993 128 300 10.59
390 efficientnet_el_pruned 454.32 280.643 128 300 10.59
391 vgg19 451.86 849.574 384 224 143.67
392 convit_small 450.19 425.458 192 224 27.78
393 fbnetv3_g 449.02 283.045 128 288 16.62
394 ese_vovnet99b 448.97 568.658 256 224 63.2
395 seresnext101_32x4d 448.16 426.163 192 224 48.96
396 gluon_seresnext101_32x4d 447.49 426.94 192 224 48.96
397 gluon_resnet152_v1s 446.73 427.49 192 224 60.32
398 legacy_seresnext101_32x4d 446.01 428.263 192 224 48.96
399 nf_regnet_b3 442.03 577.378 256 320 18.59
400 tf_efficientnet_el 441.61 288.785 128 300 10.59
401 ese_vovnet39b_evos 439.23 290.493 128 224 24.58
402 dla60_res2next 437.89 583.208 256 224 17.03
403 volo_d1_224 437.25 437.756 192 224 26.63
404 dla169 436.98 436.866 192 224 53.39
405 skresnext50_32x4d 435.09 586.972 256 224 27.48
406 hrnet_w32 433.46 438.263 192 224 41.23
407 vit_small_resnet50d_s16_224 432.94 442.239 192 224 57.53
408 twins_svt_base 429.83 444.617 192 224 56.07
409 hrnet_w18 419.32 605.846 256 224 21.3
410 crossvit_18_240 400.15 317.858 128 240 43.27
411 vgg19_bn 399.74 640.035 256 224 143.68
412 ecaresnet50t 399.44 319.549 128 320 25.57
413 inception_v4 397.78 480.469 192 299 42.68
414 tf_efficientnet_b3 393.44 323.695 128 300 12.23
415 swin_small_patch4_window7_224 393.38 486.272 192 224 49.61
416 legacy_seresnet152 392.87 485.406 192 224 66.82
417 tf_efficientnet_b3_ap 392.08 324.783 128 300 12.23
418 vit_base_patch16_224_miil 391.87 489.169 192 224 86.54
419 tf_efficientnet_b3_ns 391.61 325.176 128 300 12.23
420 crossvit_18_dagger_240 387.95 327.891 128 240 44.27
421 vit_base_patch16_224 385.23 497.575 192 224 86.57
422 vit_base_patch16_224_sam 384.98 497.891 192 224 86.57
423 deit_base_patch16_224 384.15 498.956 192 224 86.57
424 cait_xxs36_224 380.29 501.012 192 224 17.3
425 repvgg_b2 380.03 1346.183 512 224 89.02
426 regnetx_016 379.21 1349.264 512 224 9.19
427 deit_base_distilled_patch16_224 378.28 506.739 192 224 87.34
428 densenet161 376.13 337.907 128 224 28.68
429 haloregnetz_b 375.52 680.247 256 224 11.68
430 xcit_tiny_12_p8_224 374.86 339.659 128 224 6.71
431 xcit_tiny_12_p8_224_dist 374.8 339.672 128 224 6.71
432 seresnet152 372.93 339.954 128 224 66.82
433 dla102x2 362.92 351.15 128 224 41.28
434 wide_resnet101_2 360.46 531.121 192 224 126.89
435 gluon_resnext101_64x4d 357.83 356.147 128 224 83.46
436 efficientnet_b3a 354.6 359.335 128 320 12.23
437 resnet200 354.57 357.998 128 224 64.67
438 xception41p 353.88 360.846 128 299 26.91
439 regnety_016 353.36 1447.082 512 224 11.2
440 efficientnet_b3 353.18 360.796 128 320 12.23
441 beit_base_patch16_224 352.29 543.93 192 224 86.53
442 resnest14d 349.84 1463.045 512 224 10.61
443 hrnet_w30 346.82 733.381 256 224 37.71
444 ens_adv_inception_resnet_v2 341.5 558.819 192 299 55.84
445 inception_resnet_v2 341.03 559.722 192 299 55.84
446 xcit_small_24_p16_224_dist 341.01 371.894 128 224 47.67
447 tnt_s_patch16_224 340.3 562.32 192 224 23.76
448 xcit_small_24_p16_224 339.02 373.952 128 224 47.67
449 efficientnet_lite4 334.87 189.779 64 380 13.01
450 dpn92 332.25 769.002 256 224 37.67
451 nf_regnet_b1 330.04 1549.911 512 288 10.22
452 twins_pcpvt_large 327.73 386.698 128 224 60.99
453 resnet101d 327.41 389.353 128 320 44.57
454 convnext_small_in22ft1k 327.31 389.301 128 224 88.59
455 convnext_base 327.3 389.374 128 224 88.59
456 convnext_base_in22ft1k 326.61 390.177 128 224 88.59
457 convnext_tiny_in22ft1k 324.94 392.181 128 224 88.59
458 tf_efficientnet_lite4 322.62 197.041 64 380 13.01
459 resnetrs101 321.74 395.61 128 288 63.62
460 pit_b_224 318.92 400.391 128 224 73.76
461 pit_b_distilled_224 318.09 401.455 128 224 74.79
462 gcresnext50ts 316.73 604.706 192 256 15.67
463 repvgg_b3 315.56 1215.795 384 224 123.09
464 gluon_seresnext101_64x4d 313.23 406.424 128 224 88.23
465 regnetz_d8 311.3 204.013 64 320 23.37
466 poolformer_m36 307.82 413.95 128 224 56.17
467 xception41 305.16 418.228 128 299 26.97
468 resnetv2_50d_gn 304.62 419.347 128 288 25.57
469 coat_tiny 304.05 418.955 128 224 5.5
470 vit_small_patch16_36x1_224 302.22 420.928 128 224 64.67
471 swin_v2_cr_small_224 302.05 421.43 128 224 49.7
472 cait_s24_224 301.09 422.497 128 224 46.92
473 mixnet_xl 300.81 849.169 256 224 11.9
474 vit_small_patch16_18x2_224 299.9 424.102 128 224 64.67
475 resnetv2_50d_frn 299.64 426.047 128 224 25.59
476 efficientnetv2_s 299.05 318.819 96 384 21.46
477 twins_svt_large 298.59 426.599 128 224 99.27
478 tf_efficientnetv2_s 297.45 320.544 96 384 21.46
479 tf_efficientnetv2_s_in21ft1k 295.84 322.238 96 384 21.46
480 efficientnetv2_rw_s 295.58 214.343 64 384 23.94
481 nest_small 295.19 323.571 96 224 38.35
482 jx_nest_small 293.04 325.974 96 224 38.35
483 hrnet_w40 291.68 653.529 192 224 57.56
484 regnetz_005 286.8 1783.819 512 224 7.12
485 nf_regnet_b2 284.19 1799.964 512 272 14.31
486 dpn98 283.21 450.397 128 224 61.57
487 gluon_xception65 280.82 339.911 96 299 39.92
488 xception65 279.18 341.922 96 299 39.92
489 resnet51q 277.93 689.969 192 288 35.7
490 nf_regnet_b4 277.28 459.47 128 384 30.21
491 swin_s3_small_224 277.05 344.678 96 224 49.74
492 swin_base_patch4_window7_224 275.83 462.244 128 224 87.77
493 xception65p 274.95 464.241 128 299 39.82
494 gmlp_b16_224 270.89 352.851 96 224 73.08
495 hrnet_w48 266.5 475.648 128 224 77.47
496 resnest26d 258.35 1485.604 384 224 17.07
497 resnest50d_1s4x24d 258.11 990.508 256 224 25.68
498 xcit_tiny_24_p16_384_dist 251.56 378.207 96 384 12.12
499 regnetz_c16 250.16 510.248 128 320 13.46
500 crossvit_base_240 249.99 382.366 96 240 105.03
501 coat_mini 247.34 515.482 128 224 10.34
502 xcit_medium_24_p16_224 244.65 519.851 128 224 84.4
503 xcit_medium_24_p16_224_dist 244.08 521.069 128 224 84.4
504 hrnet_w44 241.77 789.352 192 224 67.06
505 efficientnet_b4 241.47 262.953 64 384 19.34
506 volo_d2_224 238.72 400.292 96 224 58.68
507 tf_efficientnet_b4 236.52 268.528 64 380 19.34
508 tf_efficientnet_b4_ap 236.39 268.69 64 380 19.34
509 tf_efficientnet_b4_ns 236.1 269.028 64 380 19.34
510 vit_small_patch16_384 235.52 270.897 64 384 22.2
511 resnetv2_50d_evob 235.19 406.951 96 224 25.59
512 tresnet_m 234.84 2177.505 512 224 31.39
513 nfnet_l0 233.22 1096.449 256 288 35.07
514 visformer_small 232.72 1649.37 384 224 40.22
515 xcit_small_12_p16_384_dist 230.87 414.048 96 384 26.25
516 vit_large_r50_s32_224 228.88 417.083 96 224 328.99
517 convit_base 228.65 558.76 128 224 86.54
518 eca_nfnet_l0 226.92 1127.142 256 288 24.14
519 resnetv2_50d_evos 223.6 285.051 64 288 25.59
520 tnt_b_patch16_224 222.54 573.324 128 224 65.41
521 vit_small_r26_s32_384 221.41 287.746 64 384 36.47
522 densenet264 220.0 432.388 96 224 72.69
523 swin_s3_base_224 219.07 435.557 96 224 71.13
524 hrnet_w64 218.91 579.973 128 224 128.06
525 resnext101_64x4d 217.22 440.378 96 288 83.46
526 resnet152d 216.09 441.927 96 320 60.21
527 xception71 215.62 294.681 64 299 42.34
528 swin_v2_cr_base_224 215.23 443.662 96 224 87.88
529 dpn131 211.54 603.038 128 224 79.25
530 nest_base 210.35 302.564 64 224 67.72
531 vit_base_r50_s16_224 208.87 457.959 96 224 98.66
532 jx_nest_base 208.37 305.48 64 224 67.72
533 resnet61q 207.91 614.63 128 288 36.85
534 mixnet_xxl 202.79 629.315 128 224 23.96
535 xcit_nano_12_p8_384_dist 196.18 324.445 64 384 3.05
536 poolformer_m48 193.91 492.638 96 224 73.47
537 xcit_tiny_24_p8_224 190.8 499.85 96 224 12.11
538 xcit_tiny_24_p8_224_dist 190.62 500.3 96 224 12.11
539 seresnet200d 190.31 500.165 96 256 71.86
540 ecaresnet200d 182.23 523.49 96 256 64.69
541 regnetz_b16 181.6 1055.83 192 288 9.72
542 convnext_large_in22ft1k 180.86 529.028 96 224 197.77
543 convnext_large 180.64 529.707 96 224 197.77
544 convmixer_768_32 179.25 534.249 96 224 21.11
545 repvgg_b1g4 178.41 2868.637 512 224 39.97
546 regnety_032 178.01 1436.656 256 288 19.44
547 regnetx_032 177.68 2160.015 384 224 15.3
548 resnest50d 177.64 1439.786 256 224 27.48
549 gluon_senet154 177.29 538.24 96 224 115.09
550 senet154 176.81 539.67 96 224 115.09
551 halonet_h1 175.85 362.526 64 256 8.1
552 legacy_senet154 175.45 543.752 96 224 115.09
553 xcit_small_12_p8_224 174.99 363.954 64 224 26.21
554 xcit_small_12_p8_224_dist 174.85 364.256 64 224 26.21
555 seresnet152d 173.74 364.967 64 320 66.84
556 dpn107 173.23 552.482 96 224 86.92
557 mixer_l16_224 172.58 554.751 96 224 208.2
558 resnetrs152 171.14 370.433 64 320 86.62
559 resnest50d_4s2x40d 167.22 1529.64 256 224 30.42
560 resnet200d 166.19 382.131 64 320 64.69
561 volo_d3_224 162.25 391.709 64 224 86.33
562 regnetx_040 161.87 2371.182 384 224 22.12
563 vit_large_patch32_384 161.83 591.666 96 384 306.63
564 efficientnet_b3_gn 160.22 397.781 64 320 11.73
565 swin_large_patch4_window7_224 151.35 420.987 64 224 196.53
566 regnetx_080 150.02 2558.515 384 224 39.57
567 regnety_040s_gn 149.61 853.983 128 224 20.65
568 efficientnetv2_m 149.31 318.263 48 416 54.14
569 ssl_resnext101_32x8d 147.46 866.477 128 224 88.79
570 resnext101_32x8d 147.32 867.312 128 224 88.79
571 swsl_resnext101_32x8d 147.16 868.264 128 224 88.79
572 ig_resnext101_32x8d 146.91 869.691 128 224 88.79
573 regnetz_e8 146.27 326.163 48 320 57.7
574 resnetv2_50x1_bitm 140.77 340.162 48 448 25.55
575 seresnet269d 137.16 460.633 64 256 113.67
576 xcit_large_24_p16_224 136.77 464.553 64 224 189.1
577 xcit_large_24_p16_224_dist 136.73 464.738 64 224 189.1
578 xcit_tiny_12_p8_384_dist 128.06 373.098 48 384 6.71
579 efficientnetv2_rw_m 126.21 250.013 32 416 53.24
580 regnetx_064 124.13 2061.422 256 224 26.21
581 resnetrs200 123.75 383.587 48 320 93.21
582 dm_nfnet_f0 121.58 2104.417 256 256 71.49
583 swin_v2_cr_large_224 120.98 394.327 48 224 196.68
584 regnety_040 120.25 1595.17 192 288 20.65
585 nfnet_f0 119.63 2138.729 256 256 71.49
586 regnetv_040 118.92 1074.873 128 288 20.64
587 ese_vovnet99b_iabn 118.27 3243.951 384 224 63.2
588 xcit_small_24_p16_384_dist 117.41 405.393 48 384 47.67
589 regnetz_b16_evos 117.22 544.08 64 288 9.74
590 crossvit_15_dagger_408 116.43 273.026 32 408 28.5
591 efficientnet_b0_g8_gn 115.43 2216.717 256 224 6.56
592 vit_large_patch16_224 115.39 553.095 64 224 304.33
593 regnetz_c16_evos 115.15 414.978 48 320 13.49
594 vit_base_patch16_18x2_224 114.12 558.126 64 224 256.73
595 convnext_xlarge_in22ft1k 114.03 559.475 64 224 350.2
596 convnext_tiny_384_in22ft1k 112.53 424.859 48 384 88.59
597 convnext_small_384_in22ft1k 112.49 424.983 48 384 88.59
598 convnext_base_384_in22ft1k 112.43 425.187 48 384 88.59
599 swin_v2_cr_tiny_384 111.07 286.85 32 384 28.33
600 tf_efficientnetv2_m 109.5 289.071 32 480 54.14
601 tf_efficientnetv2_m_in21ft1k 109.37 289.435 32 480 54.14
602 beit_large_patch16_224 106.59 598.365 64 224 304.43
603 volo_d1_384 104.96 303.527 32 384 26.78
604 tresnet_l 104.79 4882.686 512 224 55.99
605 repvgg_b2g4 102.33 5002.104 512 224 61.76
606 eca_nfnet_l1 101.26 1262.246 128 320 41.41
607 volo_d4_224 101.17 471.916 48 224 192.96
608 cspdarknet53_iabn 98.65 3890.155 384 256 27.64
609 cait_xxs24_384 98.52 484.701 48 384 12.03
610 efficientnet_b5 97.28 326.485 32 456 30.39
611 tf_efficientnet_b5 95.75 331.792 32 456 30.39
612 tf_efficientnet_b5_ns 95.73 331.833 32 456 30.39
613 vit_base_patch16_384 95.69 333.568 32 384 86.86
614 deit_base_patch16_384 95.67 333.658 32 384 86.86
615 regnetz_d8_evos 95.66 332.456 32 320 23.46
616 tf_efficientnet_b5_ap 95.45 332.725 32 456 30.39
617 regnetz_040 94.56 674.98 64 320 27.12
618 regnetz_040h 94.14 678.01 64 320 28.94
619 deit_base_distilled_patch16_384 93.65 340.87 32 384 87.63
620 tresnet_xl 90.76 4227.401 384 224 78.44
621 cspresnext50_iabn 89.98 4265.102 384 256 20.57
622 resnest101e 89.71 1424.366 128 256 48.28
623 crossvit_18_dagger_408 87.99 361.633 32 408 44.61
624 xcit_small_24_p8_224 87.73 361.414 32 224 47.63
625 xcit_small_24_p8_224_dist 87.7 361.441 32 224 47.63
626 resnetv2_101x1_bitm 86.89 366.637 32 448 44.54
627 nf_regnet_b5 86.53 736.892 64 456 49.74
628 resnetv2_152x2_bit_teacher 86.4 368.012 32 224 236.34
629 repvgg_b3g4 84.75 4530.071 384 224 83.83
630 vit_large_patch14_224 84.3 567.814 48 224 304.2
631 beit_base_patch16_384 82.73 385.724 32 384 86.74
632 seresnext101_32x8d 81.65 781.61 64 288 93.57
633 xcit_medium_24_p16_384_dist 81.08 391.168 32 384 84.4
634 ecaresnet269d 77.88 406.425 32 352 102.09
635 regnetx_120 77.54 3300.773 256 224 46.11
636 pnasnet5large 76.44 414.721 32 331 86.06
637 vit_large_r50_s32_384 75.76 419.984 32 384 329.09
638 regnety_120 75.34 2547.007 192 224 51.82
639 resnetrs270 75.27 419.128 32 352 129.86
640 swin_base_patch4_window12_384 73.61 432.836 32 384 87.9
641 regnety_064 72.69 1759.173 128 288 30.58
642 regnetz_d32 72.18 885.049 64 320 27.58
643 regnetv_064 71.81 1780.738 128 288 30.58
644 resmlp_big_24_224 68.34 466.717 32 224 129.14
645 resmlp_big_24_224_in22ft1k 68.31 466.955 32 224 129.14
646 resmlp_big_24_distilled_224 68.26 467.278 32 224 129.14
647 regnety_320 67.49 1895.092 128 224 145.05
648 nasnetalarge 66.93 473.19 32 331 88.75
649 swin_v2_cr_small_384 66.26 359.874 24 384 49.7
650 cait_xs24_384 65.98 482.447 32 384 26.67
651 regnety_080 65.45 1954.421 128 288 39.18
652 regnetx_160 65.01 2952.336 192 224 54.28
653 xcit_tiny_24_p8_384_dist 64.61 492.002 32 384 12.11
654 volo_d5_224 64.26 494.733 32 224 295.46
655 cait_xxs36_384 63.75 498.023 32 384 17.37
656 vit_base_patch8_224 62.96 380.293 24 224 86.58
657 xcit_medium_24_p8_224 62.71 506.97 32 224 84.32
658 xcit_medium_24_p8_224_dist 62.63 507.407 32 224 84.32
659 efficientnet_b3_g8_gn 62.43 1023.448 64 320 14.25
660 convnext_large_384_in22ft1k 61.7 516.836 32 384 197.77
661 convmixer_1024_20_ks9_p14 61.37 4170.722 256 224 24.38
662 efficientnet_b0_g16_evos 60.46 6350.16 384 224 8.11
663 tf_efficientnetv2_l_in21ft1k 60.25 261.19 16 480 118.52
664 xcit_small_12_p8_384_dist 60.04 398.02 24 384 26.21
665 efficientnetv2_l 59.19 265.957 16 480 118.52
666 vit_base_resnet50_384 59.0 405.136 24 384 98.95
667 tf_efficientnetv2_l 58.87 267.382 16 480 118.52
668 vit_base_r50_s16_384 58.85 406.196 24 384 98.95
669 volo_d2_384 58.21 273.125 16 384 58.87
670 tresnet_m_448 53.55 3582.526 192 448 31.39
671 cait_s24_384 49.8 479.385 24 384 47.06
672 regnety_160 48.14 1993.0 96 288 83.59
673 ig_resnext101_32x16d 47.52 2018.737 96 224 194.03
674 swsl_resnext101_32x16d 47.43 2022.391 96 224 194.03
675 xcit_large_24_p16_384_dist 47.39 502.961 24 384 189.1
676 ssl_resnext101_32x16d 47.29 2028.601 96 224 194.03
677 resnetrs350 47.22 500.442 24 384 163.96
678 swin_v2_cr_base_384 47.19 336.677 16 384 87.88
679 swin_v2_cr_huge_224 46.26 343.404 16 224 657.83
680 regnetx_320 46.16 2771.769 128 224 107.81
681 eca_nfnet_l2 44.82 1425.204 64 384 56.72
682 efficientnet_b6 42.73 371.597 16 528 43.04
683 tf_efficientnet_b6 41.54 382.29 16 528 43.04
684 tf_efficientnet_b6_ns 41.5 382.621 16 528 43.04
685 tf_efficientnet_b6_ap 41.36 384.088 16 528 43.04
686 swin_large_patch4_window12_384 41.02 388.265 16 384 196.74
687 nfnet_f1 40.44 2371.478 96 320 132.63
688 vit_huge_patch14_224 39.64 401.543 16 224 632.05
689 dm_nfnet_f1 38.26 1670.645 64 320 132.63
690 convnext_xlarge_384_in22ft1k 37.04 430.195 16 384 350.2
691 efficientnet_b7 36.68 214.625 8 600 66.35
692 efficientnetv2_xl 36.54 322.755 12 512 208.12
693 tf_efficientnetv2_xl_in21ft1k 36.36 324.371 12 512 208.12
694 tf_efficientnet_b7_ap 36.21 217.402 8 600 66.35
695 tf_efficientnet_b7 36.05 218.422 8 600 66.35
696 tf_efficientnet_b7_ns 35.41 221.975 8 600 66.35
697 xcit_large_24_p8_224 34.96 454.269 16 224 188.93
698 xcit_large_24_p8_224_dist 34.92 454.696 16 224 188.93
699 resnetrs420 32.2 487.619 16 416 191.89
700 cait_s36_384 32.09 494.814 16 384 68.37
701 resnest200e 32.0 1494.763 48 320 70.2
702 densenet264d_iabn 31.93 4003.992 128 224 72.74
703 resnetv2_50x3_bitm 31.81 502.194 16 448 217.32
704 xcit_small_24_p8_384_dist 29.97 396.971 12 384 47.63
705 resnetv2_152x2_bit_teacher_384 29.92 398.698 12 384 236.34
706 vit_large_patch16_384 28.85 414.372 12 384 304.72
707 swin_v2_cr_large_384 28.47 419.18 12 384 196.68
708 tresnet_l_448 25.64 4988.984 128 448 55.99
709 beit_large_patch16_384 25.11 475.839 12 384 305.0
710 volo_d3_448 24.79 320.233 8 448 86.63
711 eca_nfnet_l3 24.19 1319.468 32 448 72.04
712 tresnet_xl_448 23.17 4140.191 96 448 78.44
713 nfnet_f2 22.36 2143.929 48 352 193.78
714 vit_giant_patch14_224 22.25 356.944 8 224 1012.61
715 dm_nfnet_f2 22.12 2166.49 48 352 193.78
716 efficientnet_cc_b0_8e 21.78 44.083 1 224 24.01
717 resnetv2_152x2_bitm 21.74 365.619 8 448 236.34
718 tf_efficientnet_cc_b0_4e 21.44 44.859 1 224 13.31
719 tf_efficientnet_cc_b0_8e 20.98 45.875 1 224 24.01
720 xcit_medium_24_p8_384_dist 20.42 388.21 8 384 84.32
721 efficientnet_cc_b0_4e 20.36 47.276 1 224 13.31
722 ig_resnext101_32x32d 18.17 1760.063 32 224 468.53
723 volo_d4_448 17.6 338.311 6 448 193.41
724 resnetv2_101x3_bitm 17.53 454.801 8 448 387.93
725 tf_efficientnet_cc_b1_8e 17.15 56.006 1 240 39.72
726 efficientnet_cc_b1_8e 16.21 59.398 1 240 39.72
727 resnest269e 13.09 1826.778 24 416 110.93
728 tf_efficientnet_b8_ap 12.18 488.771 6 672 87.41
729 efficientnet_b8 12.12 491.31 6 672 87.41
730 nfnet_f3 12.08 1982.52 24 416 254.92
731 xcit_large_24_p8_384_dist 11.91 500.622 6 384 188.93
732 tf_efficientnet_b8 11.9 500.516 6 672 87.41
733 cait_m36_384 11.87 501.638 6 384 271.22
734 dm_nfnet_f3 11.74 2040.434 24 416 254.92
735 volo_d5_448 11.52 343.952 4 448 295.91
736 swin_v2_cr_huge_384 10.9 364.423 4 384 657.94
737 convmixer_1536_20 9.63 4981.706 48 224 51.63
738 beit_large_patch16_512 9.42 422.773 4 512 305.67
739 tf_efficientnet_l2_ns_475 9.0 327.787 3 475 480.31
740 ig_resnext101_32x48d 8.5 1880.808 16 224 828.41
741 volo_d5_512 8.05 369.448 3 512 296.09
742 nfnet_f4 6.47 1849.874 12 512 316.07
743 dm_nfnet_f4 6.2 1929.065 12 512 316.07
744 cait_m48_448 4.75 415.897 2 448 356.46
745 nfnet_f5 4.63 1719.792 8 544 377.21
746 resnetv2_152x4_bitm 4.49 443.185 2 480 936.53
747 dm_nfnet_f5 4.47 1782.137 8 544 377.21
748 nfnet_f6 3.5 1707.387 6 576 438.36
749 dm_nfnet_f6 3.39 1759.608 6 576 438.36
750 nfnet_f7 2.67 1489.771 4 608 499.5
751 efficientnet_l2 2.09 473.733 1 800 480.31
752 tf_efficientnet_l2_ns 2.09 474.031 1 800 480.31

@ -5,7 +5,7 @@ beit_large_patch16_384,98.520,1.480,99.820,0.180,305.00,384,1.000,bicubic
tf_efficientnet_l2_ns_475,98.500,1.500,99.830,0.170,480.31,475,0.936,bicubic
convnext_xlarge_384_in22ft1k,98.350,1.650,99.800,0.200,350.20,384,1.000,bicubic
convnext_large_384_in22ft1k,98.220,1.780,99.730,0.270,197.77,384,1.000,bicubic
vit_large_patch16_384,98.210,1.790,99.800,0.200,304.72,384,1.000,bicubic
vit_large_patch16_384,98.220,1.780,99.800,0.200,304.72,384,1.000,bicubic
beit_large_patch16_224,98.180,1.820,99.760,0.240,304.43,224,0.900,bicubic
swin_large_patch4_window12_384,98.040,1.960,99.690,0.310,196.74,384,1.000,bicubic
convnext_base_384_in22ft1k,97.950,2.050,99.650,0.350,88.59,384,1.000,bicubic
@ -16,7 +16,10 @@ vit_large_r50_s32_384,97.860,2.140,99.670,0.330,329.09,384,1.000,bicubic
vit_base_patch16_384,97.840,2.160,99.670,0.330,86.86,384,1.000,bicubic
convnext_large_in22ft1k,97.830,2.170,99.690,0.310,197.77,224,0.875,bicubic
beit_base_patch16_384,97.810,2.190,99.700,0.300,86.74,384,1.000,bicubic
volo_d5_512,97.770,2.230,99.670,0.330,296.09,512,1.150,bicubic
volo_d5_448,97.760,2.240,99.620,0.380,295.91,448,1.150,bicubic
tf_efficientnetv2_l_in21ft1k,97.700,2.300,99.670,0.330,118.52,480,1.000,bicubic
volo_d4_448,97.670,2.330,99.610,0.390,193.41,448,1.150,bicubic
swin_large_patch4_window7_224,97.650,2.350,99.580,0.420,196.53,224,0.900,bicubic
tf_efficientnetv2_xl_in21ft1k,97.650,2.350,99.490,0.510,208.12,512,1.000,bicubic
vit_large_patch16_224,97.640,2.360,99.590,0.410,304.33,224,0.900,bicubic
@ -25,47 +28,54 @@ ig_resnext101_32x48d,97.620,2.380,99.710,0.290,828.41,224,0.875,bilinear
dm_nfnet_f6,97.600,2.400,99.550,0.450,438.36,576,0.956,bicubic
dm_nfnet_f4,97.580,2.420,99.510,0.490,316.07,512,0.951,bicubic
vit_base_patch8_224,97.580,2.420,99.670,0.330,86.58,224,0.900,bicubic
volo_d3_448,97.550,2.450,99.550,0.450,86.63,448,1.000,bicubic
dm_nfnet_f5,97.540,2.460,99.570,0.430,377.21,544,0.954,bicubic
xcit_large_24_p8_384_dist,97.520,2.480,99.540,0.460,188.93,384,1.000,bicubic
xcit_large_24_p16_384_dist,97.520,2.480,99.480,0.520,189.10,384,1.000,bicubic
tf_efficientnet_b5_ns,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic
resnetv2_152x4_bitm,97.490,2.510,99.610,0.390,936.53,480,1.000,bilinear
cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic
tf_efficientnetv2_m_in21ft1k,97.480,2.520,99.530,0.470,54.14,480,1.000,bicubic
convnext_base_in22ft1k,97.470,2.530,99.610,0.390,88.59,224,0.875,bicubic
cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic
convnext_base_in22ft1k,97.470,2.530,99.600,0.400,88.59,224,0.875,bicubic
cait_m36_384,97.400,2.600,99.510,0.490,271.22,384,1.000,bicubic
volo_d5_224,97.390,2.610,99.570,0.430,295.46,224,0.960,bicubic
ig_resnext101_32x32d,97.370,2.630,99.680,0.320,468.53,224,0.875,bilinear
dm_nfnet_f3,97.350,2.650,99.560,0.440,254.92,416,0.940,bicubic
cait_s36_384,97.330,2.670,99.530,0.470,68.37,384,1.000,bicubic
volo_d2_384,97.310,2.690,99.600,0.400,58.87,384,1.000,bicubic
volo_d4_224,97.300,2.700,99.520,0.480,192.96,224,0.960,bicubic
xcit_medium_24_p8_384_dist,97.290,2.710,99.510,0.490,84.32,384,1.000,bicubic
tf_efficientnetv2_l,97.280,2.720,99.550,0.450,118.52,480,1.000,bicubic
xcit_medium_24_p16_384_dist,97.280,2.720,99.460,0.540,84.40,384,1.000,bicubic
swin_base_patch4_window7_224,97.250,2.750,99.530,0.470,87.77,224,0.900,bicubic
xcit_small_24_p8_384_dist,97.240,2.760,99.610,0.390,47.63,384,1.000,bicubic
xcit_small_12_p8_384_dist,97.230,2.770,99.480,0.520,26.21,384,1.000,bicubic
swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
regnetz_e8,97.200,2.800,99.500,0.500,57.70,320,1.000,bicubic
vit_base_r50_s16_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic
tf_efficientnetv2_m,97.140,2.860,99.410,0.590,54.14,480,1.000,bicubic
xcit_small_24_p16_384_dist,97.120,2.880,99.460,0.540,47.67,384,1.000,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic
beit_base_patch16_224,97.090,2.910,99.610,0.390,86.53,224,0.900,bicubic
ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic
volo_d3_224,97.090,2.910,99.470,0.530,86.33,224,0.960,bicubic
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
cait_s24_384,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic
ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
cait_s24_384,97.080,2.920,99.430,0.570,47.06,384,1.000,bicubic
xcit_large_24_p8_224_dist,97.070,2.930,99.420,0.580,188.93,224,1.000,bicubic
dm_nfnet_f2,97.020,2.980,99.440,0.560,193.78,352,0.920,bicubic
dm_nfnet_f2,97.030,2.970,99.440,0.560,193.78,352,0.920,bicubic
resnetv2_152x2_bitm,97.010,2.990,99.590,0.410,236.34,448,1.000,bilinear
tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
volo_d2_224,97.000,3.000,99.390,0.610,58.68,224,0.960,bicubic
resnetv2_101x3_bitm,96.990,3.010,99.490,0.510,387.93,448,1.000,bilinear
efficientnetv2_rw_m,96.980,3.020,99.530,0.470,53.24,416,1.000,bicubic
deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
xcit_small_12_p16_384_dist,96.930,3.070,99.400,0.600,26.25,384,1.000,bicubic
resnetrs420,96.920,3.080,99.460,0.540,191.89,416,1.000,bicubic
volo_d1_384,96.920,3.080,99.520,0.480,26.78,384,1.000,bicubic
xcit_medium_24_p8_224_dist,96.920,3.080,99.390,0.610,84.32,224,1.000,bicubic
dm_nfnet_f1,96.910,3.090,99.410,0.590,132.63,320,0.910,bicubic
vit_base_patch16_224,96.880,3.120,99.530,0.470,86.57,224,0.900,bicubic
@ -74,59 +84,73 @@ resnetv2_152x2_bit_teacher_384,96.830,3.170,99.450,0.550,236.34,384,1.000,bicubi
ig_resnext101_32x16d,96.810,3.190,99.600,0.400,194.03,224,0.875,bilinear
xcit_large_24_p16_224_dist,96.800,3.200,99.350,0.650,189.10,224,1.000,bicubic
vit_large_r50_s32_224,96.790,3.210,99.350,0.650,328.99,224,0.900,bicubic
convnext_large,96.770,3.230,99.310,0.690,197.77,224,0.875,bicubic
seresnet152d,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic
seresnext101_32x8d,96.770,3.230,99.350,0.650,93.57,288,1.000,bicubic
convnext_large,96.760,3.240,99.300,0.700,197.77,224,0.875,bicubic
resnetrs350,96.760,3.240,99.370,0.630,163.96,384,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,96.730,3.270,99.420,0.580,21.46,384,1.000,bicubic
resnet200d,96.720,3.280,99.330,0.670,64.69,320,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,96.720,3.280,99.420,0.580,21.46,384,1.000,bicubic
resnetv2_50x3_bitm,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear
regnetz_040h,96.710,3.290,99.500,0.500,28.94,320,1.000,bicubic
regnetz_040,96.710,3.290,99.470,0.530,27.12,320,1.000,bicubic
eca_nfnet_l1,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic
resnetrs200,96.700,3.300,99.370,0.630,93.21,320,1.000,bicubic
vit_small_patch16_384,96.700,3.300,99.480,0.520,22.20,384,1.000,bicubic
xcit_small_12_p8_224_dist,96.700,3.300,99.390,0.610,26.21,224,1.000,bicubic
resnetrs270,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic
vit_small_patch16_384,96.690,3.310,99.480,0.520,22.20,384,1.000,bicubic
vit_small_r26_s32_384,96.680,3.320,99.570,0.430,36.47,384,1.000,bicubic
vit_small_r26_s32_384,96.680,3.320,99.580,0.420,36.47,384,1.000,bicubic
tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
tf_efficientnet_b5_ap,96.670,3.330,99.460,0.540,30.39,456,0.934,bicubic
pit_b_distilled_224,96.670,3.330,99.350,0.650,74.79,224,0.900,bicubic
regnetz_d8,96.620,3.380,99.450,0.550,23.37,320,1.000,bicubic
resmlp_big_24_224_in22ft1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic
regnetz_d8_evos,96.610,3.390,99.440,0.560,23.46,320,0.950,bicubic
resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
regnetz_d32,96.600,3.400,99.380,0.620,27.58,320,0.950,bicubic
swsl_resnext101_32x16d,96.600,3.400,99.530,0.470,194.03,224,0.875,bilinear
xcit_medium_24_p16_224_dist,96.590,3.410,99.270,0.730,84.40,224,1.000,bicubic
resnetrs152,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic
cait_xs24_384,96.550,3.450,99.420,0.580,26.67,384,1.000,bicubic
efficientnetv2_rw_s,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
xcit_tiny_24_p8_384_dist,96.540,3.460,99.320,0.680,12.11,384,1.000,bicubic
efficientnetv2_rw_s,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
crossvit_18_dagger_408,96.530,3.470,99.260,0.740,44.61,408,1.000,bicubic
resnetrs200,96.530,3.470,99.350,0.650,93.21,320,1.000,bicubic
regnety_080,96.530,3.470,99.320,0.680,39.18,288,1.000,bicubic
resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic
vit_base_patch32_384,96.490,3.510,99.410,0.590,88.30,384,1.000,bicubic
convnext_base,96.470,3.530,99.230,0.770,88.59,224,0.875,bicubic
resmlp_big_24_distilled_224,96.450,3.550,99.310,0.690,129.14,224,0.875,bicubic
vit_base_patch16_224_miil,96.440,3.560,99.300,0.700,86.54,224,0.875,bilinear
convnext_base,96.440,3.560,99.230,0.770,88.59,224,0.875,bicubic
swsl_resnext101_32x4d,96.440,3.560,99.470,0.530,44.18,224,0.875,bilinear
vit_base_patch16_224_miil,96.450,3.550,99.300,0.700,86.54,224,0.875,bilinear
swsl_resnext101_32x4d,96.430,3.570,99.470,0.530,44.18,224,0.875,bilinear
regnetv_064,96.410,3.590,99.360,0.640,30.58,288,1.000,bicubic
xcit_large_24_p8_224,96.410,3.590,98.980,1.020,188.93,224,1.000,bicubic
xcit_small_24_p8_224,96.400,3.600,99.150,0.850,47.63,224,1.000,bicubic
crossvit_15_dagger_408,96.390,3.610,99.160,0.840,28.50,408,1.000,bicubic
tf_efficientnet_b3_ns,96.390,3.610,99.350,0.650,12.23,300,0.904,bicubic
cait_s24_224,96.380,3.620,99.150,0.850,46.92,224,1.000,bicubic
resnet152d,96.360,3.640,99.390,0.610,60.21,320,1.000,bicubic
regnety_064,96.360,3.640,99.230,0.770,30.58,288,1.000,bicubic
regnety_160,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic
tf_efficientnet_b5,96.350,3.650,99.310,0.690,30.39,456,0.934,bicubic
xception65,96.350,3.650,99.240,0.760,39.92,299,0.940,bicubic
tf_efficientnetv2_s,96.340,3.660,99.200,0.800,21.46,384,1.000,bicubic
volo_d1_224,96.330,3.670,99.310,0.690,26.63,224,0.960,bicubic
ig_resnext101_32x8d,96.310,3.690,99.430,0.570,88.79,224,0.875,bilinear
resnet101d,96.300,3.700,99.230,0.770,44.57,320,1.000,bicubic
twins_svt_large,96.270,3.730,99.170,0.830,99.27,224,0.900,bicubic
swin_s3_base_224,96.250,3.750,99.140,0.860,71.13,224,0.900,bicubic
jx_nest_base,96.240,3.760,99.210,0.790,67.72,224,0.875,bicubic
xcit_small_24_p16_224_dist,96.210,3.790,99.210,0.790,47.67,224,1.000,bicubic
swin_s3_small_224,96.230,3.770,99.090,0.910,49.74,224,0.900,bicubic
xcit_small_24_p16_224_dist,96.220,3.780,99.210,0.790,47.67,224,1.000,bicubic
xception65p,96.200,3.800,99.180,0.820,39.82,299,0.940,bicubic
regnetv_040,96.190,3.810,99.330,0.670,20.64,288,1.000,bicubic
convnext_small,96.170,3.830,99.100,0.900,50.22,224,0.875,bicubic
tf_efficientnet_b4_ap,96.170,3.830,99.280,0.720,19.34,380,0.922,bicubic
convnext_small,96.170,3.830,99.110,0.890,50.22,224,0.875,bicubic
twins_svt_base,96.160,3.840,99.060,0.940,56.07,224,0.900,bicubic
deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic
twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic
dm_nfnet_f0,96.150,3.850,99.250,0.750,71.49,256,0.900,bicubic
efficientnet_b4,96.150,3.850,99.190,0.810,19.34,384,1.000,bicubic
twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic
regnetz_c16_evos,96.130,3.870,99.360,0.640,13.49,320,0.950,bicubic
nfnet_l0,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic
resnetv2_50x1_bit_distilled,96.120,3.880,99.280,0.720,25.55,224,0.875,bicubic
xcit_medium_24_p8_224,96.110,3.890,98.890,1.110,84.32,224,1.000,bicubic
@ -134,10 +158,12 @@ xcit_small_12_p8_224,96.110,3.890,99.160,0.840,26.21,224,1.000,bicubic
resnetv2_101x1_bitm,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear
resnetv2_152x2_bit_teacher,96.100,3.900,99.270,0.730,236.34,224,0.875,bicubic
deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic
resnext101_64x4d,96.080,3.920,99.240,0.760,83.46,288,1.000,bicubic
xcit_tiny_12_p8_384_dist,96.080,3.920,99.140,0.860,6.71,384,1.000,bicubic
xcit_small_12_p16_224_dist,96.030,3.970,99.140,0.860,26.25,224,1.000,bicubic
tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
regnety_040,96.020,3.980,99.190,0.810,20.65,288,1.000,bicubic
regnety_032,95.970,4.030,99.190,0.810,19.44,288,1.000,bicubic
tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
jx_nest_small,95.970,4.030,99.030,0.970,38.35,224,0.875,bicubic
eca_nfnet_l0,95.950,4.050,99.210,0.790,24.14,288,1.000,bicubic
xcit_tiny_24_p16_384_dist,95.930,4.070,99.220,0.780,12.12,384,1.000,bicubic
@ -145,10 +171,10 @@ swin_small_patch4_window7_224,95.910,4.090,99.020,0.980,49.61,224,0.900,bicubic
resnet152,95.900,4.100,99.080,0.920,60.19,224,0.950,bicubic
tf_efficientnet_b4,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
resnet51q,95.870,4.130,99.120,0.880,35.70,288,1.000,bilinear
swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear
tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
swsl_resnext50_32x4d,95.860,4.140,99.250,0.750,25.03,224,0.875,bilinear
resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear
cait_xxs36_384,95.850,4.150,99.090,0.910,17.37,384,1.000,bicubic
cait_xxs36_384,95.840,4.160,99.090,0.910,17.37,384,1.000,bicubic
vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
xcit_tiny_24_p8_224_dist,95.810,4.190,99.210,0.790,12.11,224,1.000,bicubic
regnetz_c16,95.800,4.200,99.100,0.900,13.46,320,0.940,bicubic
@ -157,65 +183,73 @@ twins_pcpvt_base,95.790,4.210,99.130,0.870,43.83,224,0.900,bicubic
resnet61q,95.780,4.220,98.990,1.010,36.85,288,1.000,bicubic
tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
gc_efficientnetv2_rw_t,95.740,4.260,99.020,0.980,13.68,288,1.000,bicubic
tresnet_m,95.720,4.280,99.030,0.970,31.39,224,0.875,bilinear
efficientnet_b3,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic
tresnet_m,95.710,4.290,99.030,0.970,31.39,224,0.875,bilinear
pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
crossvit_15_dagger_240,95.690,4.310,98.830,1.170,28.21,240,0.875,bicubic
nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
xcit_tiny_24_p8_224,95.670,4.330,99.050,0.950,12.11,224,1.000,bicubic
poolformer_m48,95.640,4.360,98.940,1.060,73.47,224,0.950,bicubic
vit_small_r26_s32_224,95.640,4.360,99.190,0.810,36.43,224,0.900,bicubic
pit_b_224,95.640,4.360,98.670,1.330,73.76,224,0.900,bicubic
resnetv2_101,95.630,4.370,98.990,1.010,44.54,224,0.950,bicubic
efficientnetv2_rw_t,95.610,4.390,99.070,0.930,13.65,288,1.000,bicubic
resnetv2_50d_evos,95.610,4.390,99.030,0.970,25.59,288,0.950,bicubic
crossvit_18_dagger_240,95.570,4.430,99.060,0.940,44.27,240,0.875,bicubic
convit_base,95.550,4.450,98.870,1.130,86.54,224,0.875,bicubic
convnext_tiny,95.550,4.450,99.020,0.980,28.59,224,0.875,bicubic
convnext_tiny,95.550,4.450,99.000,1.000,28.59,224,0.875,bicubic
coat_lite_small,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic
xcit_medium_24_p16_224,95.530,4.470,98.740,1.260,84.40,224,1.000,bicubic
xcit_small_24_p16_224,95.530,4.470,98.760,1.240,47.67,224,1.000,bicubic
ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
xcit_medium_24_p16_224,95.530,4.470,98.740,1.260,84.40,224,1.000,bicubic
levit_384,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic
ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
crossvit_base_240,95.520,4.480,98.820,1.180,105.03,240,0.875,bicubic
xception41p,95.520,4.480,98.910,1.090,26.91,299,0.940,bicubic
convnext_tiny_hnf,95.510,4.490,99.020,0.980,28.59,224,0.950,bicubic
ecaresnet50t,95.510,4.490,99.120,0.880,25.57,320,0.950,bicubic
fbnetv3_g,95.510,4.490,98.990,1.010,16.62,288,0.950,bilinear
ssl_resnext101_32x8d,95.490,4.510,99.120,0.880,88.79,224,0.875,bilinear
visformer_small,95.480,4.520,98.900,1.100,40.22,224,0.900,bicubic
crossvit_18_240,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic
deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
visformer_small,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic
ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear
tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
crossvit_18_240,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic
deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
resnetrs101,95.430,4.570,99.030,0.970,63.62,288,0.940,bicubic
halo2botnet50ts_256,95.420,4.580,99.010,0.990,22.64,256,0.950,bicubic
resnetv2_50d_gn,95.430,4.570,99.040,0.960,25.57,288,0.950,bicubic
xcit_large_24_p16_224,95.420,4.580,98.620,1.380,189.10,224,1.000,bicubic
xcit_small_12_p16_224,95.420,4.580,98.840,1.160,26.25,224,1.000,bicubic
swsl_resnet50,95.400,4.600,99.290,0.710,25.56,224,0.875,bilinear
halo2botnet50ts_256,95.410,4.590,99.010,0.990,22.64,256,0.950,bicubic
swsl_resnet50,95.400,4.600,99.300,0.700,25.56,224,0.875,bilinear
poolformer_m36,95.380,4.620,98.850,1.150,56.17,224,0.950,bicubic
vit_small_patch16_224,95.370,4.630,99.150,0.850,22.05,224,0.900,bicubic
resnet101,95.360,4.640,98.860,1.140,44.55,224,0.950,bicubic
tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
mixer_b16_224_miil,95.300,4.700,98.880,1.120,59.88,224,0.875,bilinear
mixer_b16_224_miil,95.310,4.690,98.870,1.130,59.88,224,0.875,bilinear
tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
cait_xxs24_384,95.280,4.720,98.960,1.040,12.03,384,1.000,bicubic
jx_nest_tiny,95.250,4.750,98.980,1.020,17.06,224,0.875,bicubic
cait_xxs24_384,95.270,4.730,98.960,1.040,12.03,384,1.000,bicubic
pit_s_distilled_224,95.240,4.760,99.050,0.950,24.04,224,0.900,bicubic
jx_nest_tiny,95.240,4.760,98.980,1.020,17.06,224,0.875,bicubic
twins_pcpvt_small,95.210,4.790,98.880,1.120,24.11,224,0.900,bicubic
convit_small,95.200,4.800,98.900,1.100,27.78,224,0.875,bicubic
twins_svt_small,95.200,4.800,98.880,1.120,24.06,224,0.900,bicubic
tf_efficientnet_b1_ns,95.170,4.830,99.120,0.880,7.79,240,0.882,bicubic
halonet50ts,95.160,4.840,98.770,1.230,22.73,256,0.940,bicubic
swin_s3_tiny_224,95.160,4.840,98.940,1.060,28.33,224,0.900,bicubic
tf_efficientnetv2_b3,95.160,4.840,98.820,1.180,14.36,300,0.904,bicubic
halonet50ts,95.150,4.850,98.770,1.230,22.73,256,0.940,bicubic
lamhalobotnet50ts_256,95.150,4.850,98.880,1.120,22.57,256,0.950,bicubic
swin_tiny_patch4_window7_224,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic
crossvit_15_240,95.140,4.860,98.930,1.070,27.53,240,0.875,bicubic
xcit_tiny_12_p16_384_dist,95.130,4.870,99.020,0.980,6.72,384,1.000,bicubic
swin_tiny_patch4_window7_224,95.130,4.870,98.850,1.150,28.29,224,0.900,bicubic
efficientnet_el,95.120,4.880,98.980,1.020,10.59,300,0.904,bicubic
gernet_l,95.100,4.900,98.900,1.100,31.08,256,0.875,bilinear
poolformer_s36,95.090,4.910,98.910,1.090,30.86,224,0.900,bicubic
xcit_tiny_12_p8_224_dist,95.090,4.910,98.910,1.090,6.71,224,1.000,bicubic
ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
regnetz_b16,95.070,4.930,99.050,0.950,9.72,288,0.940,bicubic
wide_resnet50_2,95.070,4.930,98.970,1.030,68.88,224,0.875,bicubic
vit_small_patch32_384,95.060,4.940,98.990,1.010,22.92,384,1.000,bicubic
convmixer_1536_20,95.060,4.940,99.030,0.970,51.63,224,0.960,bicubic
vit_small_patch32_384,95.050,4.950,98.990,1.010,22.92,384,1.000,bicubic
regnetz_b16,95.060,4.940,99.050,0.950,9.72,288,0.940,bicubic
gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
tnt_s_patch16_224,95.040,4.960,98.840,1.160,23.76,224,0.900,bicubic
seresnext50_32x4d,95.030,4.970,98.880,1.120,27.56,224,0.875,bicubic
@ -233,14 +267,14 @@ gluon_seresnext101_64x4d,94.920,5.080,98.830,1.170,88.23,224,0.875,bicubic
tf_efficientnet_lite4,94.890,5.110,99.020,0.980,13.01,380,0.920,bilinear
resmlp_36_distilled_224,94.880,5.120,98.840,1.160,44.69,224,0.875,bicubic
ssl_resnext50_32x4d,94.870,5.130,98.890,1.110,25.03,224,0.875,bilinear
gcresnet50t,94.860,5.140,98.800,1.200,25.90,256,0.900,bicubic
gcresnet50t,94.850,5.150,98.790,1.210,25.90,256,0.900,bicubic
resnest50d,94.850,5.150,98.880,1.120,27.48,224,0.875,bilinear
seresnet33ts,94.850,5.150,98.790,1.210,19.78,256,0.900,bicubic
crossvit_small_240,94.830,5.170,99.020,0.980,26.86,240,0.875,bicubic
lambda_resnet50ts,94.790,5.210,98.460,1.540,21.54,256,0.950,bicubic
ecaresnetlight,94.770,5.230,98.800,1.200,30.16,224,0.875,bicubic
sehalonet33ts,94.770,5.230,98.570,1.430,13.69,256,0.940,bicubic
resnest50d_1s4x24d,94.750,5.250,98.980,1.020,25.68,224,0.875,bicubic
resnest50d_1s4x24d,94.760,5.240,98.980,1.020,25.68,224,0.875,bicubic
gluon_resnet152_v1d,94.740,5.260,98.740,1.260,60.21,224,0.875,bicubic
gluon_resnet101_v1s,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic
deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic
@ -256,13 +290,14 @@ efficientnet_b2,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic
pit_s_224,94.590,5.410,98.700,1.300,23.46,224,0.900,bicubic
repvgg_b3,94.570,5.430,98.780,1.220,123.09,224,0.875,bilinear
sebotnet33ts_256,94.570,5.430,98.500,1.500,13.70,256,0.940,bicubic
nf_resnet50,94.550,5.450,98.790,1.210,25.56,288,0.940,bicubic
poolformer_s24,94.550,5.450,98.880,1.120,21.39,224,0.900,bicubic
resnext50_32x4d,94.550,5.450,98.610,1.390,25.03,224,0.950,bicubic
seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic
regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
resnext50_32x4d,94.540,5.460,98.610,1.390,25.03,224,0.950,bicubic
nf_resnet50,94.550,5.450,98.790,1.210,25.56,288,0.940,bicubic
inception_resnet_v2,94.550,5.450,98.780,1.220,55.84,299,0.897,bicubic
gluon_resnext101_32x4d,94.540,5.460,98.630,1.370,44.18,224,0.875,bicubic
inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic
xcit_tiny_24_p16_224_dist,94.530,5.470,98.780,1.220,12.12,224,1.000,bicubic
regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
xcit_tiny_24_p16_224_dist,94.540,5.460,98.780,1.220,12.12,224,1.000,bicubic
repvgg_b3g4,94.520,5.480,98.970,1.030,83.83,224,0.875,bilinear
convmixer_768_32,94.500,5.500,98.850,1.150,21.11,224,0.960,bicubic
gcresnext50ts,94.490,5.510,98.670,1.330,15.67,256,0.900,bicubic
@ -274,17 +309,17 @@ gcresnet33ts,94.470,5.530,98.770,1.230,19.88,256,0.900,bicubic
regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic
resmlp_24_distilled_224,94.460,5.540,98.770,1.230,30.02,224,0.875,bicubic
ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
resnetv2_50,94.440,5.560,98.740,1.260,25.55,224,0.950,bicubic
resnetv2_50,94.430,5.570,98.740,1.260,25.55,224,0.950,bicubic
tf_efficientnetv2_b2,94.420,5.580,98.570,1.430,10.10,260,0.890,bicubic
efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
tf_efficientnet_el,94.400,5.600,98.710,1.290,10.59,300,0.904,bicubic
efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
deit_small_patch16_224,94.390,5.610,98.690,1.310,22.05,224,0.900,bicubic
inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic
legacy_seresnext101_32x4d,94.360,5.640,98.650,1.350,48.96,224,0.875,bilinear
resnet50_gn,94.360,5.640,98.710,1.290,25.56,224,0.940,bicubic
tf_efficientnet_b2,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic
resnet50_gn,94.350,5.650,98.710,1.290,25.56,224,0.940,bicubic
resnet50,94.340,5.660,98.440,1.560,25.56,224,0.950,bicubic
gluon_seresnext50_32x4d,94.330,5.670,98.610,1.390,27.56,224,0.875,bicubic
resnet50,94.330,5.670,98.440,1.560,25.56,224,0.950,bicubic
ecaresnet26t,94.310,5.690,98.720,1.280,16.01,320,0.950,bicubic
dpn107,94.300,5.700,98.470,1.530,86.92,224,0.875,bicubic
resnetrs50,94.300,5.700,98.640,1.360,35.69,224,0.910,bicubic
@ -294,7 +329,7 @@ gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic
skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic
regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic
gluon_resnet101_v1d,94.240,5.760,98.560,1.440,44.57,224,0.875,bicubic
gluon_resnet101_v1d,94.230,5.770,98.560,1.440,44.57,224,0.875,bicubic
dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic
ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
resmlp_36_224,94.200,5.800,98.660,1.340,44.69,224,0.875,bicubic
@ -302,29 +337,27 @@ tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
eca_resnet33ts,94.190,5.810,98.770,1.230,19.68,256,0.900,bicubic
mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic
resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic
regnety_080,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
levit_192,94.170,5.830,98.550,1.450,10.95,224,0.900,bicubic
ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic
gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
gmlp_s16_224,94.150,5.850,98.500,1.500,19.42,224,0.875,bicubic
efficientnet_b2_pruned,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic
regnety_064,94.140,5.860,98.730,1.270,30.58,224,0.875,bicubic
vit_base_patch16_224_sam,94.140,5.860,98.670,1.330,86.57,224,0.900,bicubic
regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic
nf_regnet_b1,94.120,5.880,98.630,1.370,10.22,288,0.900,bicubic
regnetx_160,94.130,5.870,98.740,1.260,54.28,224,0.875,bicubic
nf_regnet_b1,94.120,5.880,98.620,1.380,10.22,288,0.900,bicubic
dpn98,94.110,5.890,98.580,1.420,61.57,224,0.875,bicubic
ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic
gluon_resnet152_v1b,94.080,5.920,98.460,1.540,60.19,224,0.875,bicubic
xcit_tiny_24_p16_224,94.070,5.930,98.510,1.490,12.12,224,1.000,bicubic
coat_lite_mini,94.060,5.940,98.550,1.450,11.01,224,0.900,bicubic
eca_halonext26ts,94.050,5.950,98.500,1.500,10.76,256,0.940,bicubic
gluon_resnet152_v1b,94.070,5.930,98.460,1.540,60.19,224,0.875,bicubic
coat_lite_mini,94.050,5.950,98.560,1.440,11.01,224,0.900,bicubic
eca_halonext26ts,94.050,5.950,98.490,1.510,10.76,256,0.940,bicubic
halonet26t,94.020,5.980,98.500,1.500,12.48,256,0.950,bicubic
resmlp_24_224,94.020,5.980,98.330,1.670,30.02,224,0.875,bicubic
hrnet_w64,94.010,5.990,98.620,1.380,128.06,224,0.875,bilinear
hrnet_w64,94.010,5.990,98.610,1.390,128.06,224,0.875,bilinear
dpn131,93.990,6.010,98.720,1.280,79.25,224,0.875,bicubic
dla102x2,93.960,6.040,98.480,1.520,41.28,224,0.875,bilinear
fbnetv3_b,93.960,6.040,98.630,1.370,8.60,256,0.950,bilinear
resnetblur50,93.950,6.050,98.580,1.420,25.56,224,0.875,bicubic
fbnetv3_b,93.970,6.030,98.630,1.370,8.60,256,0.950,bilinear
dla102x2,93.960,6.040,98.490,1.510,41.28,224,0.875,bilinear
resnetblur50,93.940,6.060,98.580,1.420,25.56,224,0.875,bicubic
tf_efficientnetv2_b1,93.940,6.060,98.620,1.380,8.14,240,0.882,bicubic
fbnetv3_d,93.930,6.070,98.740,1.260,10.31,256,0.950,bilinear
hrnet_w48,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear
@ -332,16 +365,14 @@ tf_efficientnet_cc_b1_8e,93.910,6.090,98.260,1.740,39.72,240,0.882,bicubic
rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic
regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic
regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic
regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
repvgg_b2g4,93.840,6.160,98.590,1.410,61.76,224,0.875,bilinear
efficientnet_em,93.830,6.170,98.810,1.190,6.90,240,0.882,bicubic
efficientnet_em,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic
lambda_resnet26t,93.830,6.170,98.650,1.350,10.96,256,0.940,bicubic
pit_xs_distilled_224,93.820,6.180,98.670,1.330,11.00,224,0.900,bicubic
resnext101_32x8d,93.820,6.180,98.580,1.420,88.79,224,0.875,bilinear
gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
eca_botnext26ts_256,93.780,6.220,98.500,1.500,10.59,256,0.950,bicubic
gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic
xception65,93.760,6.240,98.370,1.630,39.92,299,0.903,bicubic
gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
@ -350,89 +381,91 @@ wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear
lambda_resnet26rpt_256,93.710,6.290,98.510,1.490,10.99,256,0.940,bicubic
dpn68b,93.690,6.310,98.520,1.480,12.61,224,0.875,bicubic
tf_efficientnet_b1_ap,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic
gluon_resnet101_v1c,93.660,6.340,98.420,1.580,44.57,224,0.875,bicubic
vit_tiny_patch16_384,93.650,6.350,98.600,1.400,5.79,384,1.000,bicubic
tf_efficientnet_b0_ns,93.630,6.370,98.640,1.360,5.29,224,0.875,bicubic
gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic
vit_tiny_patch16_384,93.660,6.340,98.600,1.400,5.79,384,1.000,bicubic
tf_efficientnet_b0_ns,93.640,6.360,98.640,1.360,5.29,224,0.875,bicubic
gluon_resnet50_v1s,93.620,6.380,98.460,1.540,25.68,224,0.875,bicubic
cait_xxs24_224,93.600,6.400,98.440,1.560,11.96,224,1.000,bicubic
cait_xxs24_224,93.600,6.400,98.450,1.550,11.96,224,1.000,bicubic
resnet33ts,93.600,6.400,98.540,1.460,19.68,256,0.900,bicubic
coat_tiny,93.590,6.410,98.420,1.580,5.50,224,0.900,bicubic
hrnet_w44,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear
regnetx_040,93.550,6.450,98.550,1.450,22.12,224,0.875,bicubic
hrnet_w32,93.530,6.470,98.460,1.540,41.23,224,0.875,bilinear
dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear
xcit_nano_12_p8_384_dist,93.520,6.480,98.540,1.460,3.05,384,1.000,bicubic
tf_efficientnet_b1,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic
botnet26t_256,93.500,6.500,98.300,1.700,12.49,256,0.950,bicubic
repvgg_b2,93.490,6.510,98.730,1.270,89.02,224,0.875,bilinear
botnet26t_256,93.510,6.490,98.300,1.700,12.49,256,0.950,bicubic
dla102x,93.510,6.490,98.510,1.490,26.31,224,0.875,bilinear
xcit_nano_12_p8_384_dist,93.500,6.500,98.540,1.460,3.05,384,1.000,bicubic
repvgg_b2,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear
hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear
tf_efficientnet_b1,93.490,6.510,98.360,1.640,7.79,240,0.882,bicubic
resnet32ts,93.470,6.530,98.490,1.510,17.96,256,0.900,bicubic
xception,93.470,6.530,98.530,1.470,22.86,299,0.897,bicubic
gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
gluon_inception_v3,93.450,6.550,98.570,1.430,23.83,299,0.875,bicubic
mixnet_l,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic
xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
res2net50_26w_8s,93.410,6.590,98.180,1.820,48.40,224,0.875,bilinear
res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear
legacy_seresnet152,93.400,6.600,98.340,1.660,66.82,224,0.875,bilinear
xcit_tiny_12_p16_224_dist,93.400,6.600,98.490,1.510,6.72,224,1.000,bicubic
xcit_tiny_12_p16_224_dist,93.400,6.600,98.480,1.520,6.72,224,1.000,bicubic
legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear
dla169,93.340,6.660,98.590,1.410,53.39,224,0.875,bilinear
bat_resnext26ts,93.330,6.670,98.350,1.650,10.73,256,0.900,bicubic
levit_128,93.330,6.670,98.380,1.620,9.21,224,0.900,bicubic
repvgg_b1,93.330,6.670,98.510,1.490,57.42,224,0.875,bilinear
tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
tv_resnet152,93.320,6.680,98.390,1.610,60.19,224,0.875,bilinear
tf_mixnet_l,93.320,6.680,98.030,1.970,7.33,224,0.875,bicubic
resnest26d,93.320,6.680,98.630,1.370,17.07,224,0.875,bilinear
tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
tv_resnet152,93.310,6.690,98.390,1.610,60.19,224,0.875,bilinear
levit_128,93.320,6.680,98.380,1.620,9.21,224,0.900,bicubic
legacy_seresnet101,93.300,6.700,98.510,1.490,49.33,224,0.875,bilinear
selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic
selecsls60b,93.290,6.710,98.280,1.720,32.77,224,0.875,bicubic
efficientnet_b1,93.250,6.750,98.290,1.710,7.79,256,1.000,bicubic
coat_lite_tiny,93.230,6.770,98.260,1.740,5.72,224,0.900,bicubic
hrnet_w30,93.190,6.810,98.410,1.590,37.71,224,0.875,bilinear
dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear
dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
mobilevit_s,93.170,6.830,98.440,1.560,5.58,256,0.900,bicubic
efficientnet_es,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic
dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear
regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
pit_xs_224,93.110,6.890,98.320,1.680,10.62,224,0.900,bicubic
dla60x,93.110,6.890,98.510,1.490,17.35,224,0.875,bilinear
pit_xs_224,93.110,6.890,98.330,1.670,10.62,224,0.900,bicubic
tf_efficientnetv2_b0,93.110,6.890,98.390,1.610,7.14,224,0.875,bicubic
dla102,93.060,6.940,98.550,1.450,33.27,224,0.875,bilinear
rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
dla102,93.060,6.940,98.540,1.460,33.27,224,0.875,bilinear
gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
selecsls60,93.020,6.980,98.310,1.690,30.67,224,0.875,bicubic
repvgg_b1g4,92.980,7.020,98.430,1.570,39.97,224,0.875,bilinear
legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear
legacy_seresnet50,92.960,7.040,98.180,1.820,28.09,224,0.875,bilinear
hardcorenas_f,92.950,7.050,98.160,1.840,8.20,224,0.875,bilinear
tf_efficientnet_em,92.930,7.070,98.200,1.800,6.90,240,0.882,bicubic
adv_inception_v3,92.890,7.110,98.140,1.860,23.83,299,0.875,bicubic
crossvit_9_dagger_240,92.890,7.110,98.230,1.770,8.78,240,0.875,bicubic
crossvit_9_dagger_240,92.890,7.110,98.250,1.750,8.78,240,0.875,bicubic
res2next50,92.860,7.140,98.190,1.810,24.67,224,0.875,bilinear
gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
resmlp_12_distilled_224,92.830,7.170,98.140,1.860,15.35,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic
gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
seresnext26t_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic
tv_resnet101,92.820,7.180,98.250,1.750,44.55,224,0.875,bilinear
gcresnext26ts,92.780,7.220,98.260,1.740,10.48,256,0.900,bicubic
efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic
gcresnext26ts,92.770,7.230,98.260,1.740,10.48,256,0.900,bicubic
densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic
resnet26t,92.750,7.250,98.230,1.770,16.01,256,0.940,bicubic
tv_resnext50_32x4d,92.750,7.250,98.270,1.730,25.03,224,0.875,bilinear
res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear
inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic
seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic
efficientnet_b0,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
seresnext26d_32x4d,92.690,7.310,98.150,1.850,16.81,224,0.875,bicubic
seresnext26ts,92.690,7.310,98.290,1.710,10.39,256,0.900,bicubic
resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic
tf_efficientnet_lite2,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic
tf_efficientnet_lite1,92.620,7.380,98.070,1.930,5.42,240,0.882,bicubic
poolformer_s12,92.620,7.380,98.200,1.800,11.92,224,0.900,bicubic
tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic
eca_resnext26ts,92.610,7.390,98.260,1.740,10.30,256,0.900,bicubic
tf_efficientnet_cc_b0_4e,92.600,7.400,98.080,1.920,13.31,224,0.875,bicubic
hardcorenas_e,92.570,7.430,98.110,1.890,8.07,224,0.875,bilinear
hardcorenas_e,92.580,7.420,98.110,1.890,8.07,224,0.875,bilinear
res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
res2net50_48w_2s,92.540,7.460,98.090,1.910,25.29,224,0.875,bilinear
densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
xcit_tiny_12_p16_224,92.500,7.500,98.240,1.760,6.72,224,1.000,bicubic
densenet161,92.490,7.510,98.290,1.710,28.68,224,0.875,bicubic
res2net50_26w_4s,92.490,7.510,98.060,1.940,25.70,224,0.875,bilinear
tinynet_a,92.440,7.560,98.080,1.920,6.19,192,0.875,bicubic
mixnet_m,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic
@ -443,9 +476,9 @@ skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic
tf_mixnet_m,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic
hrnet_w18,92.320,7.680,98.250,1.750,21.30,224,0.875,bilinear
ese_vovnet19b_dw,92.280,7.720,98.090,1.910,6.54,224,0.875,bicubic
selecsls42b,92.280,7.720,98.140,1.860,32.46,224,0.875,bicubic
mobilenetv3_large_100_miil,92.260,7.740,97.640,2.360,5.48,224,0.875,bilinear
tf_efficientnet_b0,92.260,7.740,98.000,2.000,5.29,224,0.875,bicubic
selecsls42b,92.280,7.720,98.130,1.870,32.46,224,0.875,bicubic
mobilenetv3_large_100_miil,92.270,7.730,97.640,2.360,5.48,224,0.875,bilinear
tf_efficientnet_b0,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear
resmlp_12_224,92.210,7.790,98.160,1.840,15.35,224,0.875,bicubic
tf_efficientnet_b0_ap,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
@ -453,28 +486,28 @@ regnetx_016,92.160,7.840,98.210,1.790,9.19,224,0.875,bicubic
gernet_s,92.140,7.860,98.190,1.810,8.17,224,0.875,bilinear
xcit_nano_12_p8_224_dist,92.100,7.900,98.160,1.840,3.05,224,1.000,bicubic
resnet26d,92.070,7.930,97.970,2.030,16.01,224,0.875,bicubic
vit_small_patch32_224,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
vit_tiny_r_s16_p8_384,92.040,7.960,98.290,1.710,6.36,384,1.000,bicubic
vit_small_patch32_224,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
dpn68,92.030,7.970,98.050,1.950,12.61,224,0.875,bicubic
hardcorenas_c,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear
tf_efficientnet_es,91.980,8.020,97.870,2.130,5.44,224,0.875,bicubic
levit_128s,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic
tf_efficientnet_es,91.980,8.020,97.860,2.140,5.44,224,0.875,bicubic
levit_128s,91.950,8.050,98.070,1.930,7.78,224,0.900,bicubic
repvgg_a2,91.940,8.060,98.150,1.850,28.21,224,0.875,bilinear
densenet169,91.920,8.080,98.100,1.900,14.15,224,0.875,bicubic
densenet169,91.930,8.070,98.100,1.900,14.15,224,0.875,bicubic
densenetblur121d,91.910,8.090,98.070,1.930,8.00,224,0.875,bicubic
tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear
tv_resnet50,91.890,8.110,98.040,1.960,25.56,224,0.875,bilinear
resnext26ts,91.870,8.130,97.920,2.080,10.30,256,0.900,bicubic
mixer_b16_224,91.860,8.140,97.250,2.750,59.88,224,0.875,bicubic
mixer_b16_224,91.870,8.130,97.250,2.750,59.88,224,0.875,bicubic
mobilenetv2_140,91.840,8.160,97.850,2.150,6.11,224,0.875,bicubic
mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
xcit_nano_12_p16_384_dist,91.830,8.170,98.020,1.980,3.05,384,1.000,bicubic
hardcorenas_b,91.780,8.220,97.780,2.220,5.18,224,0.875,bilinear
vit_tiny_patch16_224,91.760,8.240,98.040,1.960,5.72,224,0.900,bicubic
vit_tiny_patch16_224,91.770,8.230,98.040,1.960,5.72,224,0.900,bicubic
regnety_008,91.720,8.280,98.180,1.820,6.26,224,0.875,bicubic
resnest14d,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear
densenet121,91.580,8.420,98.030,1.970,7.98,224,0.875,bicubic
tf_mixnet_s,91.510,8.490,97.620,2.380,4.13,224,0.875,bicubic
repvgg_b0,91.420,8.580,97.990,2.010,15.82,224,0.875,bilinear
repvgg_b0,91.430,8.570,97.990,2.010,15.82,224,0.875,bilinear
regnety_006,91.380,8.620,97.710,2.290,6.06,224,0.875,bicubic
hardcorenas_a,91.350,8.650,97.860,2.140,5.26,224,0.875,bilinear
mobilenetv3_large_100,91.330,8.670,97.710,2.290,5.48,224,0.875,bicubic
@ -483,50 +516,51 @@ tf_mobilenetv3_large_100,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear
mobilenetv3_rw,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic
hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear
efficientnet_es_pruned,91.180,8.820,97.750,2.250,5.44,224,0.875,bicubic
efficientnet_lite0,91.130,8.870,97.620,2.380,4.65,224,0.875,bicubic
resnet34,91.130,8.870,97.620,2.380,21.80,224,0.875,bilinear
efficientnet_lite0,91.120,8.880,97.620,2.380,4.65,224,0.875,bicubic
resnet26,91.120,8.880,97.750,2.250,16.00,224,0.875,bicubic
regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic
tf_efficientnet_lite0,91.050,8.950,97.590,2.410,4.65,224,0.875,bicubic
xcit_nano_12_p8_224,91.010,8.990,97.800,2.200,3.05,224,1.000,bicubic
xcit_nano_12_p8_224,91.020,8.980,97.790,2.210,3.05,224,1.000,bicubic
gluon_resnet34_v1b,90.960,9.040,97.640,2.360,21.80,224,0.875,bicubic
mobilenetv2_110d,90.960,9.040,97.560,2.440,4.52,224,0.875,bicubic
tinynet_b,90.930,9.070,97.670,2.330,3.73,188,0.875,bicubic
legacy_seresnet34,90.900,9.100,97.580,2.420,21.96,224,0.875,bilinear
pit_ti_distilled_224,90.900,9.100,97.710,2.290,5.10,224,0.900,bicubic
pit_ti_distilled_224,90.900,9.100,97.720,2.280,5.10,224,0.900,bicubic
tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
mobilevit_xs,90.840,9.160,97.920,2.080,2.32,256,0.900,bicubic
dla34,90.770,9.230,97.660,2.340,15.74,224,0.875,bilinear
deit_tiny_distilled_patch16_224,90.710,9.290,97.570,2.430,5.91,224,0.900,bicubic
fbnetc_100,90.710,9.290,97.210,2.790,5.57,224,0.875,bilinear
swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear
crossvit_9_240,90.640,9.360,97.740,2.260,8.55,240,0.875,bicubic
convit_tiny,90.640,9.360,97.740,2.260,5.71,224,0.875,bicubic
crossvit_9_240,90.650,9.350,97.740,2.260,8.55,240,0.875,bicubic
convit_tiny,90.650,9.350,97.740,2.260,5.71,224,0.875,bicubic
mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic
regnety_004,90.490,9.510,97.540,2.460,4.34,224,0.875,bicubic
regnetx_006,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic
regnetx_006,90.350,9.650,97.440,2.560,6.20,224,0.875,bicubic
spnasnet_100,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear
crossvit_tiny_240,90.250,9.750,97.590,2.410,7.01,240,0.875,bicubic
crossvit_tiny_240,90.240,9.760,97.590,2.410,7.01,240,0.875,bicubic
ssl_resnet18,90.220,9.780,97.550,2.450,11.69,224,0.875,bilinear
vgg16_bn,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear
vgg19_bn,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear
semnasnet_075,90.080,9.920,97.430,2.570,2.91,224,0.875,bicubic
semnasnet_075,90.070,9.930,97.430,2.570,2.91,224,0.875,bicubic
ghostnet_100,90.030,9.970,97.370,2.630,5.18,224,0.875,bilinear
pit_ti_224,89.950,10.050,97.450,2.550,4.85,224,0.900,bicubic
tv_resnet34,89.930,10.070,97.340,2.660,21.80,224,0.875,bilinear
vit_base_patch32_224_sam,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic
deit_tiny_patch16_224,89.680,10.320,97.450,2.550,5.72,224,0.900,bicubic
tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
xcit_nano_12_p16_224_dist,89.680,10.320,97.090,2.910,3.05,224,1.000,bicubic
deit_tiny_patch16_224,89.670,10.330,97.440,2.560,5.72,224,0.900,bicubic
skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
mobilenetv2_100,89.610,10.390,97.150,2.850,3.50,224,0.875,bicubic
resnet18d,89.270,10.730,97.140,2.860,11.71,224,0.875,bicubic
vit_tiny_r_s16_p8_224,89.170,10.830,97.230,2.770,6.34,224,0.900,bicubic
vit_tiny_r_s16_p8_224,89.180,10.820,97.230,2.770,6.34,224,0.900,bicubic
hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
vgg19,89.040,10.960,96.870,3.130,143.67,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.960,11.040,96.860,3.140,3.92,224,0.875,bilinear
regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic
legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic
lcnet_100,88.790,11.210,96.730,3.270,2.95,224,0.875,bicubic
lcnet_100,88.800,11.200,96.730,3.270,2.95,224,0.875,bicubic
vgg13_bn,88.760,11.240,96.970,3.030,133.05,224,0.875,bilinear
xcit_nano_12_p16_224,88.610,11.390,96.790,3.210,3.05,224,1.000,bicubic
vgg16,88.550,11.450,96.790,3.210,138.36,224,0.875,bilinear
@ -535,19 +569,23 @@ tinynet_c,87.770,12.230,96.370,3.630,2.46,184,0.875,bicubic
vgg11_bn,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear
resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear
regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic
mobilevit_xxs,87.190,12.810,96.100,3.900,1.27,256,0.900,bicubic
mixer_l16_224,87.150,12.850,93.510,6.490,208.20,224,0.875,bicubic
vgg13,87.050,12.950,96.320,3.680,133.05,224,0.875,bilinear
vgg11,86.550,13.450,96.280,3.720,132.86,224,0.875,bilinear
dla60x_c,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear
regnetx_002,86.190,13.810,95.980,4.020,2.68,224,0.875,bicubic
lcnet_075,85.990,14.010,95.680,4.320,2.36,224,0.875,bicubic
mobilenetv3_small_100,85.220,14.780,95.620,4.380,2.54,224,0.875,bicubic
tf_mobilenetv3_small_100,85.210,14.790,95.770,4.230,2.54,224,0.875,bilinear
tinynet_d,84.750,15.250,95.180,4.820,2.34,152,0.875,bicubic
mnasnet_small,84.440,15.560,95.180,4.820,2.03,224,0.875,bicubic
dla46x_c,84.250,15.750,95.270,4.730,1.07,224,0.875,bilinear
mnasnet_small,83.990,16.010,94.920,5.080,2.03,224,0.875,bicubic
mobilenetv2_050,83.890,16.110,94.710,5.290,1.97,224,0.875,bicubic
dla46_c,83.650,16.350,94.920,5.080,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,83.510,16.490,94.800,5.200,2.04,224,0.875,bilinear
mobilenetv3_small_075,83.040,16.960,94.090,5.910,2.04,224,0.875,bicubic
lcnet_050,81.780,18.220,93.710,6.290,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear
tinynet_e,78.900,21.100,92.560,7.440,2.04,106,0.875,bicubic
mobilenetv3_small_050,76.990,23.010,91.300,8.700,1.59,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
5 tf_efficientnet_l2_ns_475 98.500 1.500 99.830 0.170 480.31 475 0.936 bicubic
6 convnext_xlarge_384_in22ft1k 98.350 1.650 99.800 0.200 350.20 384 1.000 bicubic
7 convnext_large_384_in22ft1k 98.220 1.780 99.730 0.270 197.77 384 1.000 bicubic
8 vit_large_patch16_384 98.210 98.220 1.790 1.780 99.800 0.200 304.72 384 1.000 bicubic
9 beit_large_patch16_224 98.180 1.820 99.760 0.240 304.43 224 0.900 bicubic
10 swin_large_patch4_window12_384 98.040 1.960 99.690 0.310 196.74 384 1.000 bicubic
11 convnext_base_384_in22ft1k 97.950 2.050 99.650 0.350 88.59 384 1.000 bicubic
16 vit_base_patch16_384 97.840 2.160 99.670 0.330 86.86 384 1.000 bicubic
17 convnext_large_in22ft1k 97.830 2.170 99.690 0.310 197.77 224 0.875 bicubic
18 beit_base_patch16_384 97.810 2.190 99.700 0.300 86.74 384 1.000 bicubic
19 volo_d5_512 97.770 2.230 99.670 0.330 296.09 512 1.150 bicubic
20 volo_d5_448 97.760 2.240 99.620 0.380 295.91 448 1.150 bicubic
21 tf_efficientnetv2_l_in21ft1k 97.700 2.300 99.670 0.330 118.52 480 1.000 bicubic
22 volo_d4_448 97.670 2.330 99.610 0.390 193.41 448 1.150 bicubic
23 swin_large_patch4_window7_224 97.650 2.350 99.580 0.420 196.53 224 0.900 bicubic
24 tf_efficientnetv2_xl_in21ft1k 97.650 2.350 99.490 0.510 208.12 512 1.000 bicubic
25 vit_large_patch16_224 97.640 2.360 99.590 0.410 304.33 224 0.900 bicubic
28 dm_nfnet_f6 97.600 2.400 99.550 0.450 438.36 576 0.956 bicubic
29 dm_nfnet_f4 97.580 2.420 99.510 0.490 316.07 512 0.951 bicubic
30 vit_base_patch8_224 97.580 2.420 99.670 0.330 86.58 224 0.900 bicubic
31 volo_d3_448 97.550 2.450 99.550 0.450 86.63 448 1.000 bicubic
32 dm_nfnet_f5 97.540 2.460 99.570 0.430 377.21 544 0.954 bicubic
33 xcit_large_24_p8_384_dist 97.520 2.480 99.540 0.460 188.93 384 1.000 bicubic
34 xcit_large_24_p16_384_dist 97.520 2.480 99.480 0.520 189.10 384 1.000 bicubic
35 tf_efficientnet_b5_ns 97.500 2.500 99.630 0.370 30.39 456 0.934 bicubic
36 resnetv2_152x4_bitm 97.490 2.510 99.610 0.390 936.53 480 1.000 bilinear
cait_m48_448 97.480 2.520 99.550 0.450 356.46 448 1.000 bicubic
37 tf_efficientnetv2_m_in21ft1k 97.480 2.520 99.530 0.470 54.14 480 1.000 bicubic
38 convnext_base_in22ft1k cait_m48_448 97.470 97.480 2.530 2.520 99.610 99.550 0.390 0.450 88.59 356.46 224 448 0.875 1.000 bicubic
39 convnext_base_in22ft1k 97.470 2.530 99.600 0.400 88.59 224 0.875 bicubic
40 cait_m36_384 97.400 2.600 99.510 0.490 271.22 384 1.000 bicubic
41 volo_d5_224 97.390 2.610 99.570 0.430 295.46 224 0.960 bicubic
42 ig_resnext101_32x32d 97.370 2.630 99.680 0.320 468.53 224 0.875 bilinear
43 dm_nfnet_f3 97.350 2.650 99.560 0.440 254.92 416 0.940 bicubic
44 cait_s36_384 97.330 2.670 99.530 0.470 68.37 384 1.000 bicubic
45 volo_d2_384 97.310 2.690 99.600 0.400 58.87 384 1.000 bicubic
46 volo_d4_224 97.300 2.700 99.520 0.480 192.96 224 0.960 bicubic
47 xcit_medium_24_p8_384_dist 97.290 2.710 99.510 0.490 84.32 384 1.000 bicubic
48 tf_efficientnetv2_l 97.280 2.720 99.550 0.450 118.52 480 1.000 bicubic
49 xcit_medium_24_p16_384_dist 97.280 2.720 99.460 0.540 84.40 384 1.000 bicubic
50 swin_base_patch4_window7_224 97.250 2.750 99.530 0.470 87.77 224 0.900 bicubic
51 xcit_small_24_p8_384_dist 97.240 2.760 99.610 0.390 47.63 384 1.000 bicubic
52 xcit_small_12_p8_384_dist 97.230 2.770 99.480 0.520 26.21 384 1.000 bicubic
swsl_resnext101_32x8d 97.200 2.800 99.570 0.430 88.79 224 0.875 bilinear
53 tf_efficientnet_b7_ap 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
54 tf_efficientnet_b8 97.200 2.800 99.500 0.500 87.41 672 0.954 bicubic
55 swsl_resnext101_32x8d 97.200 2.800 99.570 0.430 88.79 224 0.875 bilinear
56 regnetz_e8 97.200 2.800 99.500 0.500 57.70 320 1.000 bicubic
57 vit_base_r50_s16_384 97.180 2.820 99.560 0.440 98.95 384 1.000 bicubic
58 tf_efficientnetv2_m 97.140 2.860 99.410 0.590 54.14 480 1.000 bicubic
59 xcit_small_24_p16_384_dist 97.120 2.880 99.460 0.540 47.67 384 1.000 bicubic
60 tf_efficientnet_b8_ap 97.110 2.890 99.660 0.340 87.41 672 0.954 bicubic
eca_nfnet_l2 97.090 2.910 99.510 0.490 56.72 384 1.000 bicubic
61 beit_base_patch16_224 97.090 2.910 99.610 0.390 86.53 224 0.900 bicubic
62 ecaresnet269d eca_nfnet_l2 97.080 97.090 2.920 2.910 99.470 99.510 0.530 0.490 102.09 56.72 352 384 1.000 bicubic
63 volo_d3_224 97.090 2.910 99.470 0.530 86.33 224 0.960 bicubic
64 tf_efficientnet_b6_ap 97.080 2.920 99.620 0.380 43.04 528 0.942 bicubic
65 cait_s24_384 ecaresnet269d 97.070 97.080 2.930 2.920 99.430 99.470 0.570 0.530 47.06 102.09 384 352 1.000 bicubic
66 cait_s24_384 97.080 2.920 99.430 0.570 47.06 384 1.000 bicubic
67 xcit_large_24_p8_224_dist 97.070 2.930 99.420 0.580 188.93 224 1.000 bicubic
68 dm_nfnet_f2 97.020 97.030 2.980 2.970 99.440 0.560 193.78 352 0.920 bicubic
69 resnetv2_152x2_bitm 97.010 2.990 99.590 0.410 236.34 448 1.000 bilinear
70 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
71 volo_d2_224 97.000 3.000 99.390 0.610 58.68 224 0.960 bicubic
72 resnetv2_101x3_bitm 96.990 3.010 99.490 0.510 387.93 448 1.000 bilinear
73 efficientnetv2_rw_m 96.980 3.020 99.530 0.470 53.24 416 1.000 bicubic
74 deit_base_distilled_patch16_384 96.960 3.040 99.480 0.520 87.63 384 1.000 bicubic
75 tf_efficientnet_b4_ns 96.950 3.050 99.580 0.420 19.34 380 0.922 bicubic
76 xcit_small_12_p16_384_dist 96.930 3.070 99.400 0.600 26.25 384 1.000 bicubic
77 resnetrs420 96.920 3.080 99.460 0.540 191.89 416 1.000 bicubic
78 volo_d1_384 96.920 3.080 99.520 0.480 26.78 384 1.000 bicubic
79 xcit_medium_24_p8_224_dist 96.920 3.080 99.390 0.610 84.32 224 1.000 bicubic
80 dm_nfnet_f1 96.910 3.090 99.410 0.590 132.63 320 0.910 bicubic
81 vit_base_patch16_224 96.880 3.120 99.530 0.470 86.57 224 0.900 bicubic
84 ig_resnext101_32x16d 96.810 3.190 99.600 0.400 194.03 224 0.875 bilinear
85 xcit_large_24_p16_224_dist 96.800 3.200 99.350 0.650 189.10 224 1.000 bicubic
86 vit_large_r50_s32_224 96.790 3.210 99.350 0.650 328.99 224 0.900 bicubic
convnext_large 96.770 3.230 99.310 0.690 197.77 224 0.875 bicubic
87 seresnet152d 96.770 3.230 99.450 0.550 66.84 320 1.000 bicubic
88 seresnext101_32x8d 96.770 3.230 99.350 0.650 93.57 288 1.000 bicubic
89 convnext_large 96.760 3.240 99.300 0.700 197.77 224 0.875 bicubic
90 resnetrs350 96.760 3.240 99.370 0.630 163.96 384 1.000 bicubic
91 tf_efficientnetv2_s_in21ft1k 96.730 3.270 99.420 0.580 21.46 384 1.000 bicubic
92 resnet200d 96.720 3.280 99.330 0.670 64.69 320 1.000 bicubic
tf_efficientnetv2_s_in21ft1k 96.720 3.280 99.420 0.580 21.46 384 1.000 bicubic
93 resnetv2_50x3_bitm 96.710 3.290 99.550 0.450 217.32 448 1.000 bilinear
94 regnetz_040h 96.710 3.290 99.500 0.500 28.94 320 1.000 bicubic
95 regnetz_040 96.710 3.290 99.470 0.530 27.12 320 1.000 bicubic
96 eca_nfnet_l1 96.700 3.300 99.290 0.710 41.41 320 1.000 bicubic
97 resnetrs200 96.700 3.300 99.370 0.630 93.21 320 1.000 bicubic
98 vit_small_patch16_384 96.700 3.300 99.480 0.520 22.20 384 1.000 bicubic
99 xcit_small_12_p8_224_dist 96.700 3.300 99.390 0.610 26.21 224 1.000 bicubic
100 resnetrs270 96.690 3.310 99.350 0.650 129.86 352 1.000 bicubic
101 vit_small_patch16_384 vit_small_r26_s32_384 96.690 96.680 3.310 3.320 99.480 99.580 0.520 0.420 22.20 36.47 384 1.000 bicubic
vit_small_r26_s32_384 96.680 3.320 99.570 0.430 36.47 384 1.000 bicubic
102 tf_efficientnet_b6 96.670 3.330 99.370 0.630 43.04 528 0.942 bicubic
103 tf_efficientnet_b5_ap 96.670 3.330 99.460 0.540 30.39 456 0.934 bicubic
104 pit_b_distilled_224 96.670 3.330 99.350 0.650 74.79 224 0.900 bicubic
105 regnetz_d8 96.620 3.380 99.450 0.550 23.37 320 1.000 bicubic
106 resmlp_big_24_224_in22ft1k 96.620 3.380 99.510 0.490 129.14 224 0.875 bicubic
107 regnetz_d8_evos 96.610 3.390 99.440 0.560 23.46 320 0.950 bicubic
108 resnest200e 96.610 3.390 99.350 0.650 70.20 320 0.909 bicubic
109 regnetz_d32 96.600 3.400 99.380 0.620 27.58 320 0.950 bicubic
110 swsl_resnext101_32x16d 96.600 3.400 99.530 0.470 194.03 224 0.875 bilinear
111 xcit_medium_24_p16_224_dist 96.590 3.410 99.270 0.730 84.40 224 1.000 bicubic
112 resnetrs152 96.580 3.420 99.240 0.760 86.62 320 1.000 bicubic
113 cait_xs24_384 96.550 3.450 99.420 0.580 26.67 384 1.000 bicubic
efficientnetv2_rw_s 96.540 3.460 99.360 0.640 23.94 384 1.000 bicubic
114 xcit_tiny_24_p8_384_dist 96.540 3.460 99.320 0.680 12.11 384 1.000 bicubic
115 efficientnetv2_rw_s 96.540 3.460 99.360 0.640 23.94 384 1.000 bicubic
116 crossvit_18_dagger_408 96.530 3.470 99.260 0.740 44.61 408 1.000 bicubic
117 resnetrs200 regnety_080 96.530 3.470 99.350 99.320 0.650 0.680 93.21 39.18 320 288 1.000 bicubic
118 resnest269e 96.520 3.480 99.350 0.650 110.93 416 0.928 bicubic
119 vit_base_patch32_384 96.490 3.510 99.410 0.590 88.30 384 1.000 bicubic
120 convnext_base 96.470 3.530 99.230 0.770 88.59 224 0.875 bicubic
121 resmlp_big_24_distilled_224 96.450 3.550 99.310 0.690 129.14 224 0.875 bicubic
122 vit_base_patch16_224_miil 96.440 96.450 3.560 3.550 99.300 0.700 86.54 224 0.875 bilinear
123 convnext_base swsl_resnext101_32x4d 96.440 96.430 3.560 3.570 99.230 99.470 0.770 0.530 88.59 44.18 224 0.875 bicubic bilinear
124 swsl_resnext101_32x4d regnetv_064 96.440 96.410 3.560 3.590 99.470 99.360 0.530 0.640 44.18 30.58 224 288 0.875 1.000 bilinear bicubic
125 xcit_large_24_p8_224 96.410 3.590 98.980 1.020 188.93 224 1.000 bicubic
126 xcit_small_24_p8_224 96.400 3.600 99.150 0.850 47.63 224 1.000 bicubic
127 crossvit_15_dagger_408 96.390 3.610 99.160 0.840 28.50 408 1.000 bicubic
128 tf_efficientnet_b3_ns 96.390 3.610 99.350 0.650 12.23 300 0.904 bicubic
129 cait_s24_224 96.380 3.620 99.150 0.850 46.92 224 1.000 bicubic
130 resnet152d 96.360 3.640 99.390 0.610 60.21 320 1.000 bicubic
131 regnety_064 96.360 3.640 99.230 0.770 30.58 288 1.000 bicubic
132 regnety_160 96.350 3.650 99.330 0.670 83.59 288 1.000 bicubic
133 tf_efficientnet_b5 96.350 3.650 99.310 0.690 30.39 456 0.934 bicubic
134 xception65 96.350 3.650 99.240 0.760 39.92 299 0.940 bicubic
135 tf_efficientnetv2_s 96.340 3.660 99.200 0.800 21.46 384 1.000 bicubic
136 volo_d1_224 96.330 3.670 99.310 0.690 26.63 224 0.960 bicubic
137 ig_resnext101_32x8d 96.310 3.690 99.430 0.570 88.79 224 0.875 bilinear
138 resnet101d 96.300 3.700 99.230 0.770 44.57 320 1.000 bicubic
139 twins_svt_large 96.270 3.730 99.170 0.830 99.27 224 0.900 bicubic
140 swin_s3_base_224 96.250 3.750 99.140 0.860 71.13 224 0.900 bicubic
141 jx_nest_base 96.240 3.760 99.210 0.790 67.72 224 0.875 bicubic
142 xcit_small_24_p16_224_dist swin_s3_small_224 96.210 96.230 3.790 3.770 99.210 99.090 0.790 0.910 47.67 49.74 224 1.000 0.900 bicubic
143 xcit_small_24_p16_224_dist 96.220 3.780 99.210 0.790 47.67 224 1.000 bicubic
144 xception65p 96.200 3.800 99.180 0.820 39.82 299 0.940 bicubic
145 regnetv_040 96.190 3.810 99.330 0.670 20.64 288 1.000 bicubic
146 convnext_small 96.170 3.830 99.100 0.900 50.22 224 0.875 bicubic
147 tf_efficientnet_b4_ap 96.170 3.830 99.280 0.720 19.34 380 0.922 bicubic
convnext_small 96.170 3.830 99.110 0.890 50.22 224 0.875 bicubic
148 twins_svt_base 96.160 3.840 99.060 0.940 56.07 224 0.900 bicubic
149 deit_base_patch16_384 96.150 3.850 99.140 0.860 86.86 384 1.000 bicubic
150 twins_pcpvt_large 96.150 3.850 99.180 0.820 60.99 224 0.900 bicubic
151 dm_nfnet_f0 96.150 3.850 99.250 0.750 71.49 256 0.900 bicubic
152 efficientnet_b4 96.150 3.850 99.190 0.810 19.34 384 1.000 bicubic
153 twins_pcpvt_large regnetz_c16_evos 96.150 96.130 3.850 3.870 99.180 99.360 0.820 0.640 60.99 13.49 224 320 0.900 0.950 bicubic
154 nfnet_l0 96.120 3.880 99.240 0.760 35.07 288 1.000 bicubic
155 resnetv2_50x1_bit_distilled 96.120 3.880 99.280 0.720 25.55 224 0.875 bicubic
156 xcit_medium_24_p8_224 96.110 3.890 98.890 1.110 84.32 224 1.000 bicubic
158 resnetv2_101x1_bitm 96.100 3.900 99.280 0.720 44.54 448 1.000 bilinear
159 resnetv2_152x2_bit_teacher 96.100 3.900 99.270 0.730 236.34 224 0.875 bicubic
160 deit_base_distilled_patch16_224 96.090 3.910 99.190 0.810 87.34 224 0.900 bicubic
161 resnext101_64x4d 96.080 3.920 99.240 0.760 83.46 288 1.000 bicubic
162 xcit_tiny_12_p8_384_dist 96.080 3.920 99.140 0.860 6.71 384 1.000 bicubic
163 xcit_small_12_p16_224_dist 96.030 3.970 99.140 0.860 26.25 224 1.000 bicubic
164 tresnet_xl_448 regnety_040 95.970 96.020 4.030 3.980 99.130 99.190 0.870 0.810 78.44 20.65 448 288 0.875 1.000 bilinear bicubic
165 regnety_032 95.970 4.030 99.190 0.810 19.44 288 1.000 bicubic
166 tresnet_xl_448 95.970 4.030 99.130 0.870 78.44 448 0.875 bilinear
167 jx_nest_small 95.970 4.030 99.030 0.970 38.35 224 0.875 bicubic
168 eca_nfnet_l0 95.950 4.050 99.210 0.790 24.14 288 1.000 bicubic
169 xcit_tiny_24_p16_384_dist 95.930 4.070 99.220 0.780 12.12 384 1.000 bicubic
171 resnet152 95.900 4.100 99.080 0.920 60.19 224 0.950 bicubic
172 tf_efficientnet_b4 95.900 4.100 99.170 0.830 19.34 380 0.922 bicubic
173 resnet51q 95.870 4.130 99.120 0.880 35.70 288 1.000 bilinear
174 swsl_resnext50_32x4d 95.870 4.130 99.250 0.750 25.03 224 0.875 bilinear
175 tresnet_l_448 95.860 4.140 99.120 0.880 55.99 448 0.875 bilinear
swsl_resnext50_32x4d 95.860 4.140 99.250 0.750 25.03 224 0.875 bilinear
176 resnest101e 95.860 4.140 99.210 0.790 48.28 256 0.875 bilinear
177 cait_xxs36_384 95.850 95.840 4.150 4.160 99.090 0.910 17.37 384 1.000 bicubic
178 vit_large_patch32_384 95.830 4.170 99.150 0.850 306.63 384 1.000 bicubic
179 xcit_tiny_24_p8_224_dist 95.810 4.190 99.210 0.790 12.11 224 1.000 bicubic
180 regnetz_c16 95.800 4.200 99.100 0.900 13.46 320 0.940 bicubic
183 resnet61q 95.780 4.220 98.990 1.010 36.85 288 1.000 bicubic
184 tf_efficientnet_b2_ns 95.770 4.230 99.120 0.880 9.11 260 0.890 bicubic
185 gc_efficientnetv2_rw_t 95.740 4.260 99.020 0.980 13.68 288 1.000 bicubic
tresnet_m 95.720 4.280 99.030 0.970 31.39 224 0.875 bilinear
186 efficientnet_b3 95.710 4.290 99.040 0.960 12.23 320 1.000 bicubic
187 tresnet_m 95.710 4.290 99.030 0.970 31.39 224 0.875 bilinear
188 pnasnet5large 95.710 4.290 98.920 1.080 86.06 331 0.911 bicubic
189 crossvit_15_dagger_240 95.690 4.310 98.830 1.170 28.21 240 0.875 bicubic
190 nasnetalarge 95.680 4.320 98.930 1.070 88.75 331 0.911 bicubic
191 xcit_tiny_24_p8_224 95.670 4.330 99.050 0.950 12.11 224 1.000 bicubic
192 poolformer_m48 95.640 4.360 98.940 1.060 73.47 224 0.950 bicubic
193 vit_small_r26_s32_224 95.640 4.360 99.190 0.810 36.43 224 0.900 bicubic
194 pit_b_224 95.640 4.360 98.670 1.330 73.76 224 0.900 bicubic
195 resnetv2_101 95.630 4.370 98.990 1.010 44.54 224 0.950 bicubic
196 efficientnetv2_rw_t 95.610 4.390 99.070 0.930 13.65 288 1.000 bicubic
197 resnetv2_50d_evos 95.610 4.390 99.030 0.970 25.59 288 0.950 bicubic
198 crossvit_18_dagger_240 95.570 4.430 99.060 0.940 44.27 240 0.875 bicubic
199 convit_base 95.550 4.450 98.870 1.130 86.54 224 0.875 bicubic
200 convnext_tiny 95.550 4.450 99.020 99.000 0.980 1.000 28.59 224 0.875 bicubic
201 coat_lite_small 95.540 4.460 98.860 1.140 19.84 224 0.900 bicubic
xcit_medium_24_p16_224 95.530 4.470 98.740 1.260 84.40 224 1.000 bicubic
202 xcit_small_24_p16_224 95.530 4.470 98.760 1.240 47.67 224 1.000 bicubic
203 ecaresnet101d xcit_medium_24_p16_224 95.530 4.470 99.130 98.740 0.870 1.260 44.57 84.40 224 0.875 1.000 bicubic
204 levit_384 95.530 4.470 99.050 0.950 39.13 224 0.900 bicubic
205 ecaresnet101d 95.530 4.470 99.130 0.870 44.57 224 0.875 bicubic
206 crossvit_base_240 95.520 4.480 98.820 1.180 105.03 240 0.875 bicubic
207 xception41p 95.520 4.480 98.910 1.090 26.91 299 0.940 bicubic
208 convnext_tiny_hnf 95.510 4.490 99.020 0.980 28.59 224 0.950 bicubic
209 ecaresnet50t 95.510 4.490 99.120 0.880 25.57 320 0.950 bicubic
210 fbnetv3_g 95.510 4.490 98.990 1.010 16.62 288 0.950 bilinear
211 ssl_resnext101_32x8d 95.490 4.510 99.120 0.880 88.79 224 0.875 bilinear
212 visformer_small 95.480 95.490 4.520 4.510 98.900 1.100 40.22 224 0.900 bicubic
crossvit_18_240 95.440 4.560 98.790 1.210 43.27 240 0.875 bicubic
deit_base_patch16_224 95.440 4.560 98.840 1.160 86.57 224 0.900 bicubic
213 ssl_resnext101_32x4d 95.440 4.560 99.130 0.870 44.18 224 0.875 bilinear
214 tresnet_xl 95.440 4.560 99.050 0.950 78.44 224 0.875 bilinear
215 crossvit_18_240 95.440 4.560 98.790 1.210 43.27 240 0.875 bicubic
216 deit_base_patch16_224 95.440 4.560 98.840 1.160 86.57 224 0.900 bicubic
217 resnetrs101 95.430 4.570 99.030 0.970 63.62 288 0.940 bicubic
218 halo2botnet50ts_256 resnetv2_50d_gn 95.420 95.430 4.580 4.570 99.010 99.040 0.990 0.960 22.64 25.57 256 288 0.950 bicubic
219 xcit_large_24_p16_224 95.420 4.580 98.620 1.380 189.10 224 1.000 bicubic
220 xcit_small_12_p16_224 95.420 4.580 98.840 1.160 26.25 224 1.000 bicubic
221 swsl_resnet50 halo2botnet50ts_256 95.400 95.410 4.600 4.590 99.290 99.010 0.710 0.990 25.56 22.64 224 256 0.875 0.950 bilinear bicubic
222 swsl_resnet50 95.400 4.600 99.300 0.700 25.56 224 0.875 bilinear
223 poolformer_m36 95.380 4.620 98.850 1.150 56.17 224 0.950 bicubic
224 vit_small_patch16_224 95.370 4.630 99.150 0.850 22.05 224 0.900 bicubic
225 resnet101 95.360 4.640 98.860 1.140 44.55 224 0.950 bicubic
226 tf_efficientnet_b3_ap 95.320 4.680 98.900 1.100 12.23 300 0.904 bicubic
227 mixer_b16_224_miil 95.300 95.310 4.700 4.690 98.880 98.870 1.120 1.130 59.88 224 0.875 bilinear
228 tresnet_l 95.290 4.710 99.010 0.990 55.99 224 0.875 bilinear
229 cait_xxs24_384 95.280 95.270 4.720 4.730 98.960 1.040 12.03 384 1.000 bicubic
jx_nest_tiny 95.250 4.750 98.980 1.020 17.06 224 0.875 bicubic
230 pit_s_distilled_224 95.240 4.760 99.050 0.950 24.04 224 0.900 bicubic
231 jx_nest_tiny 95.240 4.760 98.980 1.020 17.06 224 0.875 bicubic
232 twins_pcpvt_small 95.210 4.790 98.880 1.120 24.11 224 0.900 bicubic
233 convit_small 95.200 4.800 98.900 1.100 27.78 224 0.875 bicubic
234 twins_svt_small 95.200 4.800 98.880 1.120 24.06 224 0.900 bicubic
235 tf_efficientnet_b1_ns 95.170 4.830 99.120 0.880 7.79 240 0.882 bicubic
236 halonet50ts swin_s3_tiny_224 95.160 4.840 98.770 98.940 1.230 1.060 22.73 28.33 256 224 0.940 0.900 bicubic
237 tf_efficientnetv2_b3 95.160 4.840 98.820 1.180 14.36 300 0.904 bicubic
238 halonet50ts 95.150 4.850 98.770 1.230 22.73 256 0.940 bicubic
239 lamhalobotnet50ts_256 95.150 4.850 98.880 1.120 22.57 256 0.950 bicubic
240 swin_tiny_patch4_window7_224 95.140 4.860 98.850 1.150 28.29 224 0.900 bicubic
241 crossvit_15_240 95.140 4.860 98.930 1.070 27.53 240 0.875 bicubic
242 xcit_tiny_12_p16_384_dist 95.130 4.870 99.020 0.980 6.72 384 1.000 bicubic
swin_tiny_patch4_window7_224 95.130 4.870 98.850 1.150 28.29 224 0.900 bicubic
243 efficientnet_el 95.120 4.880 98.980 1.020 10.59 300 0.904 bicubic
244 gernet_l 95.100 4.900 98.900 1.100 31.08 256 0.875 bilinear
245 poolformer_s36 95.090 4.910 98.910 1.090 30.86 224 0.900 bicubic
246 xcit_tiny_12_p8_224_dist 95.090 4.910 98.910 1.090 6.71 224 1.000 bicubic
247 ecaresnet101d_pruned 95.080 4.920 98.980 1.020 24.88 224 0.875 bicubic
248 legacy_senet154 95.070 4.930 98.830 1.170 115.09 224 0.875 bilinear
regnetz_b16 95.070 4.930 99.050 0.950 9.72 288 0.940 bicubic
249 wide_resnet50_2 95.070 4.930 98.970 1.030 68.88 224 0.875 bicubic
250 vit_small_patch32_384 95.060 4.940 98.990 1.010 22.92 384 1.000 bicubic
251 convmixer_1536_20 95.060 4.940 99.030 0.970 51.63 224 0.960 bicubic
252 vit_small_patch32_384 regnetz_b16 95.050 95.060 4.950 4.940 98.990 99.050 1.010 0.950 22.92 9.72 384 288 1.000 0.940 bicubic
253 gluon_resnet152_v1s 95.040 4.960 98.930 1.070 60.32 224 0.875 bicubic
254 tnt_s_patch16_224 95.040 4.960 98.840 1.160 23.76 224 0.900 bicubic
255 seresnext50_32x4d 95.030 4.970 98.880 1.120 27.56 224 0.875 bicubic
267 tf_efficientnet_lite4 94.890 5.110 99.020 0.980 13.01 380 0.920 bilinear
268 resmlp_36_distilled_224 94.880 5.120 98.840 1.160 44.69 224 0.875 bicubic
269 ssl_resnext50_32x4d 94.870 5.130 98.890 1.110 25.03 224 0.875 bilinear
270 gcresnet50t 94.860 94.850 5.140 5.150 98.800 98.790 1.200 1.210 25.90 256 0.900 bicubic
271 resnest50d 94.850 5.150 98.880 1.120 27.48 224 0.875 bilinear
272 seresnet33ts 94.850 5.150 98.790 1.210 19.78 256 0.900 bicubic
273 crossvit_small_240 94.830 5.170 99.020 0.980 26.86 240 0.875 bicubic
274 lambda_resnet50ts 94.790 5.210 98.460 1.540 21.54 256 0.950 bicubic
275 ecaresnetlight 94.770 5.230 98.800 1.200 30.16 224 0.875 bicubic
276 sehalonet33ts 94.770 5.230 98.570 1.430 13.69 256 0.940 bicubic
277 resnest50d_1s4x24d 94.750 94.760 5.250 5.240 98.980 1.020 25.68 224 0.875 bicubic
278 gluon_resnet152_v1d 94.740 5.260 98.740 1.260 60.21 224 0.875 bicubic
279 gluon_resnet101_v1s 94.720 5.280 98.820 1.180 44.67 224 0.875 bicubic
280 deit_small_distilled_patch16_224 94.710 5.290 99.030 0.970 22.44 224 0.900 bicubic
290 pit_s_224 94.590 5.410 98.700 1.300 23.46 224 0.900 bicubic
291 repvgg_b3 94.570 5.430 98.780 1.220 123.09 224 0.875 bilinear
292 sebotnet33ts_256 94.570 5.430 98.500 1.500 13.70 256 0.940 bicubic
293 nf_resnet50 poolformer_s24 94.550 5.450 98.790 98.880 1.210 1.120 25.56 21.39 288 224 0.940 0.900 bicubic
294 resnext50_32x4d 94.550 5.450 98.610 1.390 25.03 224 0.950 bicubic
295 seresnet50 94.550 5.450 98.750 1.250 28.09 224 0.875 bicubic
296 regnety_320 nf_resnet50 94.540 94.550 5.460 5.450 98.850 98.790 1.150 1.210 145.05 25.56 224 288 0.875 0.940 bicubic
297 resnext50_32x4d inception_resnet_v2 94.540 94.550 5.460 5.450 98.610 98.780 1.390 1.220 25.03 55.84 224 299 0.950 0.897 bicubic
298 gluon_resnext101_32x4d 94.540 5.460 98.630 1.370 44.18 224 0.875 bicubic
299 inception_resnet_v2 regnety_320 94.540 5.460 98.790 98.850 1.210 1.150 55.84 145.05 299 224 0.897 0.875 bicubic
300 xcit_tiny_24_p16_224_dist 94.530 94.540 5.470 5.460 98.780 1.220 12.12 224 1.000 bicubic
301 repvgg_b3g4 94.520 5.480 98.970 1.030 83.83 224 0.875 bilinear
302 convmixer_768_32 94.500 5.500 98.850 1.150 21.11 224 0.960 bicubic
303 gcresnext50ts 94.490 5.510 98.670 1.330 15.67 256 0.900 bicubic
309 regnetx_320 94.460 5.540 98.740 1.260 107.81 224 0.875 bicubic
310 resmlp_24_distilled_224 94.460 5.540 98.770 1.230 30.02 224 0.875 bicubic
311 ssl_resnet50 94.450 5.550 98.920 1.080 25.56 224 0.875 bilinear
312 resnetv2_50 94.440 94.430 5.560 5.570 98.740 1.260 25.55 224 0.950 bicubic
313 tf_efficientnetv2_b2 94.420 5.580 98.570 1.430 10.10 260 0.890 bicubic
efficientnet_el_pruned 94.400 5.600 98.740 1.260 10.59 300 0.904 bicubic
314 tf_efficientnet_el 94.400 5.600 98.710 1.290 10.59 300 0.904 bicubic
315 efficientnet_el_pruned 94.400 5.600 98.740 1.260 10.59 300 0.904 bicubic
316 deit_small_patch16_224 94.390 5.610 98.690 1.310 22.05 224 0.900 bicubic
317 inception_v4 94.380 5.620 98.580 1.420 42.68 299 0.875 bicubic
318 legacy_seresnext101_32x4d 94.360 5.640 98.650 1.350 48.96 224 0.875 bilinear
resnet50_gn 94.360 5.640 98.710 1.290 25.56 224 0.940 bicubic
319 tf_efficientnet_b2 94.360 5.640 98.610 1.390 9.11 260 0.890 bicubic
320 resnet50_gn 94.350 5.650 98.710 1.290 25.56 224 0.940 bicubic
321 resnet50 94.340 5.660 98.440 1.560 25.56 224 0.950 bicubic
322 gluon_seresnext50_32x4d 94.330 5.670 98.610 1.390 27.56 224 0.875 bicubic
resnet50 94.330 5.670 98.440 1.560 25.56 224 0.950 bicubic
323 ecaresnet26t 94.310 5.690 98.720 1.280 16.01 320 0.950 bicubic
324 dpn107 94.300 5.700 98.470 1.530 86.92 224 0.875 bicubic
325 resnetrs50 94.300 5.700 98.640 1.360 35.69 224 0.910 bicubic
329 resnet50d 94.260 5.740 98.720 1.280 25.58 224 0.875 bicubic
330 skresnext50_32x4d 94.260 5.740 98.460 1.540 27.48 224 0.875 bicubic
331 regnetx_120 94.240 5.760 98.650 1.350 46.11 224 0.875 bicubic
332 gluon_resnet101_v1d 94.240 94.230 5.760 5.770 98.560 1.440 44.57 224 0.875 bicubic
333 dpn92 94.230 5.770 98.730 1.270 37.67 224 0.875 bicubic
334 ecaresnet50d_pruned 94.220 5.780 98.730 1.270 19.94 224 0.875 bicubic
335 resmlp_36_224 94.200 5.800 98.660 1.340 44.69 224 0.875 bicubic
337 eca_resnet33ts 94.190 5.810 98.770 1.230 19.68 256 0.900 bicubic
338 mixnet_xl 94.190 5.810 98.340 1.660 11.90 224 0.875 bicubic
339 resnext50d_32x4d 94.180 5.820 98.570 1.430 25.05 224 0.875 bicubic
regnety_080 94.170 5.830 98.680 1.320 39.18 224 0.875 bicubic
340 levit_192 94.170 5.830 98.550 1.450 10.95 224 0.900 bicubic
341 ens_adv_inception_resnet_v2 94.160 5.840 98.600 1.400 55.84 299 0.897 bicubic
342 gluon_resnet152_v1c 94.160 5.840 98.640 1.360 60.21 224 0.875 bicubic
343 gmlp_s16_224 94.150 5.850 98.500 1.500 19.42 224 0.875 bicubic
344 efficientnet_b2_pruned 94.140 5.860 98.530 1.470 8.31 260 0.890 bicubic
regnety_064 94.140 5.860 98.730 1.270 30.58 224 0.875 bicubic
345 vit_base_patch16_224_sam 94.140 5.860 98.670 1.330 86.57 224 0.900 bicubic
346 regnetx_160 94.120 94.130 5.880 5.870 98.740 1.260 54.28 224 0.875 bicubic
347 nf_regnet_b1 94.120 5.880 98.630 98.620 1.370 1.380 10.22 288 0.900 bicubic
348 dpn98 94.110 5.890 98.580 1.420 61.57 224 0.875 bicubic
349 ese_vovnet39b 94.090 5.910 98.660 1.340 24.57 224 0.875 bicubic
gluon_resnet152_v1b 94.080 5.920 98.460 1.540 60.19 224 0.875 bicubic
350 xcit_tiny_24_p16_224 94.070 5.930 98.510 1.490 12.12 224 1.000 bicubic
351 coat_lite_mini gluon_resnet152_v1b 94.060 94.070 5.940 5.930 98.550 98.460 1.450 1.540 11.01 60.19 224 0.900 0.875 bicubic
352 eca_halonext26ts coat_lite_mini 94.050 5.950 98.500 98.560 1.500 1.440 10.76 11.01 256 224 0.940 0.900 bicubic
353 eca_halonext26ts 94.050 5.950 98.490 1.510 10.76 256 0.940 bicubic
354 halonet26t 94.020 5.980 98.500 1.500 12.48 256 0.950 bicubic
355 resmlp_24_224 94.020 5.980 98.330 1.670 30.02 224 0.875 bicubic
356 hrnet_w64 94.010 5.990 98.620 98.610 1.380 1.390 128.06 224 0.875 bilinear
357 dpn131 93.990 6.010 98.720 1.280 79.25 224 0.875 bicubic
358 dla102x2 fbnetv3_b 93.960 93.970 6.040 6.030 98.480 98.630 1.520 1.370 41.28 8.60 224 256 0.875 0.950 bilinear
359 fbnetv3_b dla102x2 93.960 6.040 98.630 98.490 1.370 1.510 8.60 41.28 256 224 0.950 0.875 bilinear
360 resnetblur50 93.950 93.940 6.050 6.060 98.580 1.420 25.56 224 0.875 bicubic
361 tf_efficientnetv2_b1 93.940 6.060 98.620 1.380 8.14 240 0.882 bicubic
362 fbnetv3_d 93.930 6.070 98.740 1.260 10.31 256 0.950 bilinear
363 hrnet_w48 93.920 6.080 98.610 1.390 77.47 224 0.875 bilinear
365 rexnet_130 93.900 6.100 98.400 1.600 7.56 224 0.875 bicubic
366 regnetx_064 93.890 6.110 98.630 1.370 26.21 224 0.875 bicubic
367 regnetx_080 93.870 6.130 98.520 1.480 39.57 224 0.875 bicubic
regnety_040 93.860 6.140 98.650 1.350 20.65 224 0.875 bicubic
368 repvgg_b2g4 93.840 6.160 98.590 1.410 61.76 224 0.875 bilinear
369 efficientnet_em 93.830 93.840 6.170 6.160 98.810 1.190 6.90 240 0.882 bicubic
370 lambda_resnet26t 93.830 6.170 98.650 1.350 10.96 256 0.940 bicubic
371 pit_xs_distilled_224 93.820 6.180 98.670 1.330 11.00 224 0.900 bicubic
372 resnext101_32x8d 93.820 6.180 98.580 1.420 88.79 224 0.875 bilinear
373 gluon_resnext50_32x4d 93.810 6.190 98.410 1.590 25.03 224 0.875 bicubic
374 eca_botnext26ts_256 93.780 6.220 98.500 1.500 10.59 256 0.950 bicubic
375 gluon_resnet50_v1d 93.770 6.230 98.390 1.610 25.58 224 0.875 bicubic
xception65 93.760 6.240 98.370 1.630 39.92 299 0.903 bicubic
376 gluon_resnet101_v1b 93.750 6.250 98.380 1.620 44.55 224 0.875 bicubic
377 res2net101_26w_4s 93.750 6.250 98.310 1.690 45.21 224 0.875 bilinear
378 cspresnet50 93.740 6.260 98.640 1.360 21.62 256 0.887 bilinear
381 lambda_resnet26rpt_256 93.710 6.290 98.510 1.490 10.99 256 0.940 bicubic
382 dpn68b 93.690 6.310 98.520 1.480 12.61 224 0.875 bicubic
383 tf_efficientnet_b1_ap 93.690 6.310 98.360 1.640 7.79 240 0.882 bicubic
384 gluon_resnet101_v1c 93.660 93.670 6.340 6.330 98.420 1.580 44.57 224 0.875 bicubic
385 vit_tiny_patch16_384 93.650 93.660 6.350 6.340 98.600 1.400 5.79 384 1.000 bicubic
386 tf_efficientnet_b0_ns 93.630 93.640 6.370 6.360 98.640 1.360 5.29 224 0.875 bicubic
387 gluon_resnet50_v1s 93.620 6.380 98.460 1.540 25.68 224 0.875 bicubic
388 cait_xxs24_224 93.600 6.400 98.440 98.450 1.560 1.550 11.96 224 1.000 bicubic
389 resnet33ts 93.600 6.400 98.540 1.460 19.68 256 0.900 bicubic
390 coat_tiny 93.590 6.410 98.420 1.580 5.50 224 0.900 bicubic
391 hrnet_w44 93.550 6.450 98.700 1.300 67.06 224 0.875 bilinear
392 regnetx_040 93.550 6.450 98.550 1.450 22.12 224 0.875 bicubic
393 hrnet_w32 93.530 6.470 98.460 1.540 41.23 224 0.875 bilinear
394 dla102x botnet26t_256 93.520 93.510 6.480 6.490 98.510 98.300 1.490 1.700 26.31 12.49 224 256 0.875 0.950 bilinear bicubic
395 xcit_nano_12_p8_384_dist dla102x 93.520 93.510 6.480 6.490 98.540 98.510 1.460 1.490 3.05 26.31 384 224 1.000 0.875 bicubic bilinear
396 tf_efficientnet_b1 xcit_nano_12_p8_384_dist 93.500 6.500 98.360 98.540 1.640 1.460 7.79 3.05 240 384 0.882 1.000 bicubic
397 botnet26t_256 repvgg_b2 93.500 6.500 98.300 98.730 1.700 1.270 12.49 89.02 256 224 0.950 0.875 bicubic bilinear
repvgg_b2 93.490 6.510 98.730 1.270 89.02 224 0.875 bilinear
398 hrnet_w40 93.490 6.510 98.580 1.420 57.56 224 0.875 bilinear
399 tf_efficientnet_b1 93.490 6.510 98.360 1.640 7.79 240 0.882 bicubic
400 resnet32ts 93.470 6.530 98.490 1.510 17.96 256 0.900 bicubic
401 xception 93.470 6.530 98.530 1.470 22.86 299 0.897 bicubic
402 gluon_inception_v3 93.460 93.450 6.540 6.550 98.570 1.430 23.83 299 0.875 bicubic
403 mixnet_l 93.450 6.550 98.220 1.780 7.33 224 0.875 bicubic
404 xception41 93.430 6.570 98.430 1.570 26.97 299 0.903 bicubic
405 res2net50_26w_8s 93.410 6.590 98.180 1.820 48.40 224 0.875 bilinear
406 res2net50_26w_6s 93.410 6.590 98.280 1.720 37.05 224 0.875 bilinear
407 legacy_seresnet152 xcit_tiny_12_p16_224_dist 93.400 6.600 98.340 98.480 1.660 1.520 66.82 6.72 224 0.875 1.000 bilinear bicubic
408 xcit_tiny_12_p16_224_dist legacy_seresnet152 93.400 6.600 98.490 98.350 1.510 1.650 6.72 66.82 224 1.000 0.875 bicubic bilinear
409 dla169 93.340 6.660 98.590 1.410 53.39 224 0.875 bilinear
410 bat_resnext26ts 93.330 6.670 98.350 1.650 10.73 256 0.900 bicubic
levit_128 93.330 6.670 98.380 1.620 9.21 224 0.900 bicubic
411 repvgg_b1 93.330 6.670 98.510 1.490 57.42 224 0.875 bilinear
412 tf_inception_v3 93.320 6.680 98.030 1.970 23.83 299 0.875 bicubic
413 tv_resnet152 93.320 6.680 98.390 1.610 60.19 224 0.875 bilinear
414 tf_mixnet_l 93.320 6.680 98.030 1.970 7.33 224 0.875 bicubic
415 resnest26d 93.320 6.680 98.630 1.370 17.07 224 0.875 bilinear
416 tf_inception_v3 levit_128 93.320 6.680 98.030 98.380 1.970 1.620 23.83 9.21 299 224 0.875 0.900 bicubic
tv_resnet152 93.310 6.690 98.390 1.610 60.19 224 0.875 bilinear
417 legacy_seresnet101 93.300 6.700 98.510 1.490 49.33 224 0.875 bilinear
418 selecsls60b 93.300 93.290 6.700 6.710 98.280 1.720 32.77 224 0.875 bicubic
419 efficientnet_b1 93.250 6.750 98.290 1.710 7.79 256 1.000 bicubic
420 coat_lite_tiny 93.230 6.770 98.260 1.740 5.72 224 0.900 bicubic
421 hrnet_w30 93.190 6.810 98.410 1.590 37.71 224 0.875 bilinear
422 dla60_res2net 93.180 6.820 98.420 1.580 20.85 224 0.875 bilinear
423 dla60_res2next 93.180 6.820 98.410 1.590 17.03 224 0.875 bilinear
424 mobilevit_s 93.170 6.830 98.440 1.560 5.58 256 0.900 bicubic
425 efficientnet_es 93.140 6.860 98.420 1.580 5.44 224 0.875 bicubic
dla60x 93.120 6.880 98.510 1.490 17.35 224 0.875 bilinear
426 regnetx_032 93.120 6.880 98.390 1.610 15.30 224 0.875 bicubic
427 pit_xs_224 dla60x 93.110 6.890 98.320 98.510 1.680 1.490 10.62 17.35 224 0.900 0.875 bicubic bilinear
428 pit_xs_224 93.110 6.890 98.330 1.670 10.62 224 0.900 bicubic
429 tf_efficientnetv2_b0 93.110 6.890 98.390 1.610 7.14 224 0.875 bicubic
430 dla102 93.060 6.940 98.550 98.540 1.450 1.460 33.27 224 0.875 bilinear
rexnet_100 93.030 6.970 98.190 1.810 4.80 224 0.875 bicubic
regnety_016 93.030 6.970 98.360 1.640 11.20 224 0.875 bicubic
431 gluon_resnet50_v1c 93.030 6.970 98.390 1.610 25.58 224 0.875 bicubic
432 regnety_016 93.030 6.970 98.360 1.640 11.20 224 0.875 bicubic
433 rexnet_100 93.030 6.970 98.190 1.810 4.80 224 0.875 bicubic
434 selecsls60 93.020 6.980 98.310 1.690 30.67 224 0.875 bicubic
435 repvgg_b1g4 92.980 7.020 98.430 1.570 39.97 224 0.875 bilinear
436 legacy_seresnet50 92.960 7.040 98.190 98.180 1.810 1.820 28.09 224 0.875 bilinear
437 hardcorenas_f 92.950 7.050 98.160 1.840 8.20 224 0.875 bilinear
438 tf_efficientnet_em 92.930 7.070 98.200 1.800 6.90 240 0.882 bicubic
439 adv_inception_v3 92.890 7.110 98.140 1.860 23.83 299 0.875 bicubic
440 crossvit_9_dagger_240 92.890 7.110 98.230 98.250 1.770 1.750 8.78 240 0.875 bicubic
441 res2next50 92.860 7.140 98.190 1.810 24.67 224 0.875 bilinear
gmixer_24_224 92.830 7.170 97.880 2.120 24.72 224 0.875 bicubic
442 resmlp_12_distilled_224 92.830 7.170 98.140 1.860 15.35 224 0.875 bicubic
443 tf_efficientnet_cc_b0_8e 92.830 7.170 98.180 1.820 24.01 224 0.875 bicubic
444 gmixer_24_224 92.830 7.170 97.880 2.120 24.72 224 0.875 bicubic
445 seresnext26t_32x4d 92.820 7.180 98.370 1.630 16.81 224 0.875 bicubic
446 tv_resnet101 92.820 7.180 98.250 1.750 44.55 224 0.875 bilinear
gcresnext26ts 92.780 7.220 98.260 1.740 10.48 256 0.900 bicubic
447 efficientnet_b1_pruned 92.770 7.230 98.040 1.960 6.33 240 0.882 bicubic
448 gcresnext26ts 92.770 7.230 98.260 1.740 10.48 256 0.900 bicubic
449 densenet201 92.750 7.250 98.230 1.770 20.01 224 0.875 bicubic
450 resnet26t 92.750 7.250 98.230 1.770 16.01 256 0.940 bicubic
451 tv_resnext50_32x4d 92.750 7.250 98.270 1.730 25.03 224 0.875 bilinear
452 res2net50_14w_8s 92.740 7.260 98.180 1.820 25.06 224 0.875 bilinear
453 inception_v3 92.720 7.280 97.970 2.030 23.83 299 0.875 bicubic
454 seresnext26d_32x4d 92.700 7.300 98.150 1.850 16.81 224 0.875 bicubic
455 efficientnet_b0 92.690 7.310 98.070 1.930 5.29 224 0.875 bicubic
seresnext26d_32x4d 92.690 7.310 98.150 1.850 16.81 224 0.875 bicubic
456 seresnext26ts 92.690 7.310 98.290 1.710 10.39 256 0.900 bicubic
457 resnet34d 92.680 7.320 98.310 1.690 21.82 224 0.875 bicubic
458 tf_efficientnet_lite2 92.650 7.350 98.230 1.770 6.09 260 0.890 bicubic
459 legacy_seresnext26_32x4d 92.640 7.360 98.130 1.870 16.79 224 0.875 bicubic
460 tf_efficientnet_lite1 poolformer_s12 92.620 7.380 98.070 98.200 1.930 1.800 5.42 11.92 240 224 0.882 0.900 bicubic
461 tf_efficientnet_lite1 92.620 7.380 98.080 1.920 5.42 240 0.882 bicubic
462 eca_resnext26ts 92.610 7.390 98.260 1.740 10.30 256 0.900 bicubic
463 tf_efficientnet_cc_b0_4e 92.600 7.400 98.080 1.920 13.31 224 0.875 bicubic
464 hardcorenas_e 92.570 92.580 7.430 7.420 98.110 1.890 8.07 224 0.875 bilinear
465 res2net50_48w_2s 92.550 7.450 98.080 1.920 25.29 224 0.875 bilinear
466 gluon_resnet50_v1b 92.540 7.460 98.170 1.830 25.56 224 0.875 bicubic
467 res2net50_48w_2s densenet161 92.540 92.500 7.460 7.500 98.090 98.290 1.910 1.710 25.29 28.68 224 0.875 bilinear bicubic
468 xcit_tiny_12_p16_224 92.500 7.500 98.240 1.760 6.72 224 1.000 bicubic
densenet161 92.490 7.510 98.290 1.710 28.68 224 0.875 bicubic
469 res2net50_26w_4s 92.490 7.510 98.060 1.940 25.70 224 0.875 bilinear
470 tinynet_a 92.440 7.560 98.080 1.920 6.19 192 0.875 bicubic
471 mixnet_m 92.430 7.570 97.870 2.130 5.01 224 0.875 bicubic
476 tf_mixnet_m 92.330 7.670 97.890 2.110 5.01 224 0.875 bicubic
477 hrnet_w18 92.320 7.680 98.250 1.750 21.30 224 0.875 bilinear
478 ese_vovnet19b_dw 92.280 7.720 98.090 1.910 6.54 224 0.875 bicubic
479 selecsls42b 92.280 7.720 98.140 98.130 1.860 1.870 32.46 224 0.875 bicubic
480 mobilenetv3_large_100_miil 92.260 92.270 7.740 7.730 97.640 2.360 5.48 224 0.875 bilinear
481 tf_efficientnet_b0 92.260 92.250 7.740 7.750 98.000 2.000 5.29 224 0.875 bicubic
482 dla60 92.230 7.770 98.110 1.890 22.04 224 0.875 bilinear
483 resmlp_12_224 92.210 7.790 98.160 1.840 15.35 224 0.875 bicubic
484 tf_efficientnet_b0_ap 92.200 7.800 98.020 1.980 5.29 224 0.875 bicubic
486 gernet_s 92.140 7.860 98.190 1.810 8.17 224 0.875 bilinear
487 xcit_nano_12_p8_224_dist 92.100 7.900 98.160 1.840 3.05 224 1.000 bicubic
488 resnet26d 92.070 7.930 97.970 2.030 16.01 224 0.875 bicubic
vit_small_patch32_224 92.040 7.960 98.230 1.770 22.88 224 0.900 bicubic
489 vit_tiny_r_s16_p8_384 92.040 7.960 98.290 1.710 6.36 384 1.000 bicubic
490 vit_small_patch32_224 92.040 7.960 98.230 1.770 22.88 224 0.900 bicubic
491 dpn68 92.030 7.970 98.050 1.950 12.61 224 0.875 bicubic
492 hardcorenas_c 92.020 7.980 97.840 2.160 5.52 224 0.875 bilinear
493 tf_efficientnet_es 91.980 8.020 97.870 97.860 2.130 2.140 5.44 224 0.875 bicubic
494 levit_128s 91.960 91.950 8.040 8.050 98.060 98.070 1.940 1.930 7.78 224 0.900 bicubic
495 repvgg_a2 91.940 8.060 98.150 1.850 28.21 224 0.875 bilinear
496 densenet169 91.920 91.930 8.080 8.070 98.100 1.900 14.15 224 0.875 bicubic
497 densenetblur121d 91.910 8.090 98.070 1.930 8.00 224 0.875 bicubic
498 tv_resnet50 91.880 91.890 8.120 8.110 98.040 1.960 25.56 224 0.875 bilinear
499 resnext26ts 91.870 8.130 97.920 2.080 10.30 256 0.900 bicubic
500 mixer_b16_224 91.860 91.870 8.140 8.130 97.250 2.750 59.88 224 0.875 bicubic
501 mobilenetv2_140 91.840 8.160 97.850 2.150 6.11 224 0.875 bicubic
502 mixnet_s 91.830 8.170 97.690 2.310 4.13 224 0.875 bicubic
503 xcit_nano_12_p16_384_dist 91.830 8.170 98.020 1.980 3.05 384 1.000 bicubic
504 hardcorenas_b 91.780 8.220 97.780 2.220 5.18 224 0.875 bilinear
505 vit_tiny_patch16_224 91.760 91.770 8.240 8.230 98.040 1.960 5.72 224 0.900 bicubic
506 regnety_008 91.720 8.280 98.180 1.820 6.26 224 0.875 bicubic
507 resnest14d 91.720 8.280 97.870 2.130 10.61 224 0.875 bilinear
508 densenet121 91.580 8.420 98.030 1.970 7.98 224 0.875 bicubic
509 tf_mixnet_s 91.510 8.490 97.620 2.380 4.13 224 0.875 bicubic
510 repvgg_b0 91.420 91.430 8.580 8.570 97.990 2.010 15.82 224 0.875 bilinear
511 regnety_006 91.380 8.620 97.710 2.290 6.06 224 0.875 bicubic
512 hardcorenas_a 91.350 8.650 97.860 2.140 5.26 224 0.875 bilinear
513 mobilenetv3_large_100 91.330 8.670 97.710 2.290 5.48 224 0.875 bicubic
516 mobilenetv3_rw 91.210 8.790 97.660 2.340 5.48 224 0.875 bicubic
517 hrnet_w18_small_v2 91.190 8.810 97.900 2.100 15.60 224 0.875 bilinear
518 efficientnet_es_pruned 91.180 8.820 97.750 2.250 5.44 224 0.875 bicubic
efficientnet_lite0 91.130 8.870 97.620 2.380 4.65 224 0.875 bicubic
519 resnet34 91.130 8.870 97.620 2.380 21.80 224 0.875 bilinear
520 efficientnet_lite0 91.120 8.880 97.620 2.380 4.65 224 0.875 bicubic
521 resnet26 91.120 8.880 97.750 2.250 16.00 224 0.875 bicubic
522 regnetx_008 91.050 8.950 97.710 2.290 7.26 224 0.875 bicubic
523 tf_efficientnet_lite0 91.050 8.950 97.590 2.410 4.65 224 0.875 bicubic
524 xcit_nano_12_p8_224 91.010 91.020 8.990 8.980 97.800 97.790 2.200 2.210 3.05 224 1.000 bicubic
525 gluon_resnet34_v1b 90.960 9.040 97.640 2.360 21.80 224 0.875 bicubic
526 mobilenetv2_110d 90.960 9.040 97.560 2.440 4.52 224 0.875 bicubic
527 tinynet_b 90.930 9.070 97.670 2.330 3.73 188 0.875 bicubic
528 legacy_seresnet34 90.900 9.100 97.580 2.420 21.96 224 0.875 bilinear
529 pit_ti_distilled_224 90.900 9.100 97.710 97.720 2.290 2.280 5.10 224 0.900 bicubic
530 tv_densenet121 90.890 9.110 97.710 2.290 7.98 224 0.875 bicubic
531 mobilevit_xs 90.840 9.160 97.920 2.080 2.32 256 0.900 bicubic
532 dla34 90.770 9.230 97.660 2.340 15.74 224 0.875 bilinear
533 deit_tiny_distilled_patch16_224 90.710 9.290 97.570 2.430 5.91 224 0.900 bicubic
534 fbnetc_100 90.710 9.290 97.210 2.790 5.57 224 0.875 bilinear
535 swsl_resnet18 90.690 9.310 97.700 2.300 11.69 224 0.875 bilinear
536 crossvit_9_240 90.640 90.650 9.360 9.350 97.740 2.260 8.55 240 0.875 bicubic
537 convit_tiny 90.640 90.650 9.360 9.350 97.740 2.260 5.71 224 0.875 bicubic
538 mnasnet_100 90.510 9.490 97.470 2.530 4.38 224 0.875 bicubic
539 regnety_004 90.490 9.510 97.540 2.460 4.34 224 0.875 bicubic
540 regnetx_006 90.350 9.650 97.430 97.440 2.570 2.560 6.20 224 0.875 bicubic
541 spnasnet_100 90.350 9.650 97.190 2.810 4.42 224 0.875 bilinear
542 crossvit_tiny_240 90.250 90.240 9.750 9.760 97.590 2.410 7.01 240 0.875 bicubic
543 ssl_resnet18 90.220 9.780 97.550 2.450 11.69 224 0.875 bilinear
544 vgg16_bn 90.090 9.910 97.370 2.630 138.37 224 0.875 bilinear
545 vgg19_bn 90.080 9.920 97.580 2.420 143.68 224 0.875 bilinear
546 semnasnet_075 90.080 90.070 9.920 9.930 97.430 2.570 2.91 224 0.875 bicubic
547 ghostnet_100 90.030 9.970 97.370 2.630 5.18 224 0.875 bilinear
548 pit_ti_224 89.950 10.050 97.450 2.550 4.85 224 0.900 bicubic
549 tv_resnet34 89.930 10.070 97.340 2.660 21.80 224 0.875 bilinear
550 vit_base_patch32_224_sam 89.750 10.250 97.000 3.000 88.22 224 0.900 bicubic
551 deit_tiny_patch16_224 89.680 10.320 97.450 2.550 5.72 224 0.900 bicubic
552 tf_mobilenetv3_large_075 89.680 10.320 97.210 2.790 3.99 224 0.875 bilinear
553 xcit_nano_12_p16_224_dist 89.680 10.320 97.090 2.910 3.05 224 1.000 bicubic
deit_tiny_patch16_224 89.670 10.330 97.440 2.560 5.72 224 0.900 bicubic
554 skresnet18 89.660 10.340 97.230 2.770 11.96 224 0.875 bicubic
555 mobilenetv2_100 89.610 10.390 97.150 2.850 3.50 224 0.875 bicubic
556 resnet18d 89.270 10.730 97.140 2.860 11.71 224 0.875 bicubic
557 vit_tiny_r_s16_p8_224 89.170 89.180 10.830 10.820 97.230 2.770 6.34 224 0.900 bicubic
558 hrnet_w18_small 89.050 10.950 97.110 2.890 13.19 224 0.875 bilinear
559 vgg19 89.040 10.960 96.870 3.130 143.67 224 0.875 bilinear
560 tf_mobilenetv3_large_minimal_100 88.960 11.040 96.860 3.140 3.92 224 0.875 bilinear
561 regnetx_004 88.900 11.100 97.120 2.880 5.16 224 0.875 bicubic
562 legacy_seresnet18 88.880 11.120 96.980 3.020 11.78 224 0.875 bicubic
563 lcnet_100 88.790 88.800 11.210 11.200 96.730 3.270 2.95 224 0.875 bicubic
564 vgg13_bn 88.760 11.240 96.970 3.030 133.05 224 0.875 bilinear
565 xcit_nano_12_p16_224 88.610 11.390 96.790 3.210 3.05 224 1.000 bicubic
566 vgg16 88.550 11.450 96.790 3.210 138.36 224 0.875 bilinear
569 vgg11_bn 87.500 12.500 96.820 3.180 132.87 224 0.875 bilinear
570 resnet18 87.390 12.610 96.290 3.710 11.69 224 0.875 bilinear
571 regnety_002 87.380 12.620 96.590 3.410 3.16 224 0.875 bicubic
572 mobilevit_xxs 87.190 12.810 96.100 3.900 1.27 256 0.900 bicubic
573 mixer_l16_224 87.150 12.850 93.510 6.490 208.20 224 0.875 bicubic
574 vgg13 87.050 12.950 96.320 3.680 133.05 224 0.875 bilinear
575 vgg11 86.550 13.450 96.280 3.720 132.86 224 0.875 bilinear
576 dla60x_c 86.290 13.710 96.160 3.840 1.32 224 0.875 bilinear
577 regnetx_002 86.190 13.810 95.980 4.020 2.68 224 0.875 bicubic
578 lcnet_075 85.990 14.010 95.680 4.320 2.36 224 0.875 bicubic
579 mobilenetv3_small_100 85.220 14.780 95.620 4.380 2.54 224 0.875 bicubic
580 tf_mobilenetv3_small_100 85.210 14.790 95.770 4.230 2.54 224 0.875 bilinear
581 tinynet_d 84.750 15.250 95.180 4.820 2.34 152 0.875 bicubic
582 mnasnet_small 84.440 15.560 95.180 4.820 2.03 224 0.875 bicubic
583 dla46x_c 84.250 15.750 95.270 4.730 1.07 224 0.875 bilinear
mnasnet_small 83.990 16.010 94.920 5.080 2.03 224 0.875 bicubic
584 mobilenetv2_050 83.890 16.110 94.710 5.290 1.97 224 0.875 bicubic
585 dla46_c 83.650 16.350 94.920 5.080 1.30 224 0.875 bilinear
586 tf_mobilenetv3_small_075 83.510 16.490 94.800 5.200 2.04 224 0.875 bilinear
587 mobilenetv3_small_075 83.040 16.960 94.090 5.910 2.04 224 0.875 bicubic
588 lcnet_050 81.780 18.220 93.710 6.290 1.88 224 0.875 bicubic
589 tf_mobilenetv3_small_minimal_100 81.380 18.620 93.670 6.330 2.04 224 0.875 bilinear
590 tinynet_e 78.900 21.100 92.560 7.440 2.04 106 0.875 bicubic
591 mobilenetv3_small_050 76.990 23.010 91.300 8.700 1.59 224 0.875 bicubic

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@ -1,46 +1,53 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
beit_large_patch16_384,97.810,2.190,99.790,0.210,305.00,384,1.000,bicubic
beit_large_patch16_512,97.780,2.220,99.820,0.180,305.67,512,1.000,bicubic
tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
beit_large_patch16_512,97.780,2.220,99.820,0.180,305.67,512,1.000,bicubic
tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
convnext_xlarge_384_in22ft1k,97.550,2.450,99.800,0.200,350.20,384,1.000,bicubic
beit_large_patch16_224,97.480,2.520,99.690,0.310,304.43,224,0.900,bicubic
convnext_large_384_in22ft1k,97.440,2.560,99.780,0.220,197.77,384,1.000,bicubic
vit_large_patch16_384,97.420,2.580,99.780,0.220,304.72,384,1.000,bicubic
beit_base_patch16_384,97.330,2.670,99.720,0.280,86.74,384,1.000,bicubic
convnext_base_384_in22ft1k,97.280,2.720,99.770,0.230,88.59,384,1.000,bicubic
convnext_base_384_in22ft1k,97.290,2.710,99.780,0.220,88.59,384,1.000,bicubic
volo_d5_512,97.290,2.710,99.760,0.240,296.09,512,1.150,bicubic
convnext_large_in22ft1k,97.260,2.740,99.650,0.350,197.77,224,0.875,bicubic
convnext_xlarge_in22ft1k,97.240,2.760,99.730,0.270,350.20,224,0.875,bicubic
volo_d5_448,97.240,2.760,99.740,0.260,295.91,448,1.150,bicubic
tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
swin_large_patch4_window12_384,97.180,2.820,99.680,0.320,196.74,384,1.000,bicubic
tf_efficientnetv2_xl_in21ft1k,97.150,2.850,99.620,0.380,208.12,512,1.000,bicubic
swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic
tf_efficientnetv2_l_in21ft1k,97.110,2.890,99.710,0.290,118.52,480,1.000,bicubic
vit_base_patch8_224,97.080,2.920,99.620,0.380,86.58,224,0.900,bicubic
tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
vit_base_patch8_224,97.080,2.920,99.610,0.390,86.58,224,0.900,bicubic
volo_d4_448,97.070,2.930,99.750,0.250,193.41,448,1.150,bicubic
volo_d3_448,97.020,2.980,99.680,0.320,86.63,448,1.000,bicubic
vit_base_patch16_384,97.020,2.980,99.710,0.290,86.86,384,1.000,bicubic
tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
tf_efficientnetv2_m_in21ft1k,96.970,3.030,99.610,0.390,54.14,480,1.000,bicubic
swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic
vit_large_r50_s32_384,96.950,3.050,99.710,0.290,329.09,384,1.000,bicubic
xcit_large_24_p16_384_dist,96.940,3.060,99.510,0.490,189.10,384,1.000,bicubic
dm_nfnet_f6,96.920,3.080,99.720,0.280,438.36,576,0.956,bicubic
volo_d5_224,96.880,3.120,99.670,0.330,295.46,224,0.960,bicubic
cait_m48_448,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic
resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
convnext_base_in22ft1k,96.860,3.140,99.650,0.350,88.59,224,0.875,bicubic
convnext_base_in22ft1k,96.840,3.160,99.650,0.350,88.59,224,0.875,bicubic
cait_m36_384,96.830,3.170,99.660,0.340,271.22,384,1.000,bicubic
xcit_small_24_p8_384_dist,96.820,3.180,99.630,0.370,47.63,384,1.000,bicubic
dm_nfnet_f5,96.810,3.190,99.670,0.330,377.21,544,0.954,bicubic
xcit_small_24_p8_384_dist,96.810,3.190,99.630,0.370,47.63,384,1.000,bicubic
xcit_medium_24_p8_384_dist,96.780,3.220,99.610,0.390,84.32,384,1.000,bicubic
ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
xcit_medium_24_p8_384_dist,96.780,3.220,99.610,0.390,84.32,384,1.000,bicubic
volo_d4_224,96.780,3.220,99.670,0.330,192.96,224,0.960,bicubic
dm_nfnet_f4,96.780,3.220,99.620,0.380,316.07,512,0.951,bicubic
xcit_large_24_p8_384_dist,96.760,3.240,99.560,0.440,188.93,384,1.000,bicubic
dm_nfnet_f3,96.730,3.270,99.630,0.370,254.92,416,0.940,bicubic
tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
vit_large_patch16_224,96.710,3.290,99.650,0.350,304.33,224,0.900,bicubic
tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
volo_d2_384,96.710,3.290,99.600,0.400,58.87,384,1.000,bicubic
xcit_medium_24_p16_384_dist,96.700,3.300,99.600,0.400,84.40,384,1.000,bicubic
tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic
beit_base_patch16_224,96.660,3.340,99.660,0.340,86.53,224,0.900,bicubic
tf_efficientnetv2_l,96.650,3.350,99.560,0.440,118.52,480,1.000,bicubic
@ -49,25 +56,30 @@ cait_s36_384,96.630,3.370,99.600,0.400,68.37,384,1.000,bicubic
regnetz_e8,96.600,3.400,99.610,0.390,57.70,320,1.000,bicubic
tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
cait_s24_384,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
xcit_small_24_p8_224_dist,96.550,3.450,99.570,0.430,47.63,224,1.000,bicubic
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
tf_efficientnetv2_m,96.540,3.460,99.570,0.430,54.14,480,1.000,bicubic
resnetv2_152x2_bitm,96.520,3.480,99.590,0.410,236.34,448,1.000,bilinear
xcit_medium_24_p8_224_dist,96.520,3.480,99.510,0.490,84.32,224,1.000,bicubic
deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
xcit_small_12_p8_384_dist,96.480,3.520,99.490,0.510,26.21,384,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,96.470,3.530,99.570,0.430,21.46,384,1.000,bicubic
dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic
volo_d1_384,96.470,3.530,99.550,0.450,26.78,384,1.000,bicubic
ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic
dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic
eca_nfnet_l2,96.450,3.550,99.630,0.370,56.72,384,1.000,bicubic
vit_base_r50_s16_384,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
volo_d3_224,96.440,3.560,99.620,0.380,86.33,224,0.960,bicubic
volo_d2_224,96.420,3.580,99.500,0.500,58.68,224,0.960,bicubic
resnetrs420,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic
dm_nfnet_f1,96.380,3.620,99.470,0.530,132.63,320,0.910,bicubic
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic
resnetrs200,96.340,3.660,99.550,0.450,93.21,320,1.000,bicubic
xcit_small_24_p16_384_dist,96.340,3.660,99.580,0.420,47.67,384,1.000,bicubic
regnetz_040h,96.330,3.670,99.520,0.480,28.94,320,1.000,bicubic
xcit_small_12_p16_384_dist,96.330,3.670,99.490,0.510,26.25,384,1.000,bicubic
xcit_large_24_p16_224_dist,96.320,3.680,99.500,0.500,189.10,224,1.000,bicubic
seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
@ -76,34 +88,38 @@ tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
swsl_resnext101_32x16d,96.280,3.720,99.500,0.500,194.03,224,0.875,bilinear
efficientnetv2_rw_m,96.270,3.730,99.560,0.440,53.24,416,1.000,bicubic
resnetv2_50x3_bitm,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear
xcit_medium_24_p16_224_dist,96.260,3.740,99.400,0.600,84.40,224,1.000,bicubic
xcit_medium_24_p16_224_dist,96.260,3.740,99.410,0.590,84.40,224,1.000,bicubic
resnetv2_101x3_bitm,96.250,3.750,99.580,0.420,387.93,448,1.000,bilinear
resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic
swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
xcit_tiny_24_p8_384_dist,96.240,3.760,99.440,0.560,12.11,384,1.000,bicubic
xcit_tiny_24_p8_384_dist,96.230,3.770,99.440,0.560,12.11,384,1.000,bicubic
regnetz_d8_evos,96.220,3.780,99.490,0.510,23.46,320,0.950,bicubic
resnetv2_152x2_bit_teacher_384,96.190,3.810,99.500,0.500,236.34,384,1.000,bicubic
regnetz_040,96.180,3.820,99.510,0.490,27.12,320,1.000,bicubic
vit_large_r50_s32_224,96.180,3.820,99.530,0.470,328.99,224,0.900,bicubic
crossvit_18_dagger_408,96.130,3.870,99.470,0.530,44.61,408,1.000,bicubic
resnest269e,96.130,3.870,99.520,0.480,110.93,416,0.928,bicubic
crossvit_18_dagger_408,96.140,3.860,99.470,0.530,44.61,408,1.000,bicubic
seresnext101_32x8d,96.130,3.870,99.360,0.640,93.57,288,1.000,bicubic
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
xcit_large_24_p8_224,96.080,3.920,99.150,0.850,188.93,224,1.000,bicubic
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic
resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
resnetrs270,96.060,3.940,99.480,0.520,129.86,352,1.000,bicubic
vit_small_r26_s32_384,96.060,3.940,99.550,0.450,36.47,384,1.000,bicubic
swsl_resnext101_32x4d,96.040,3.960,99.530,0.470,44.18,224,0.875,bilinear
swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
swin_s3_base_224,96.040,3.960,99.350,0.650,71.13,224,0.900,bicubic
vit_base_patch16_224_miil,96.030,3.970,99.350,0.650,86.54,224,0.875,bilinear
volo_d1_224,96.030,3.970,99.390,0.610,26.63,224,0.960,bicubic
convnext_large,96.020,3.980,99.470,0.530,197.77,224,0.875,bicubic
cait_xs24_384,96.010,3.990,99.430,0.570,26.67,384,1.000,bicubic
regnetz_d8,96.010,3.990,99.520,0.480,23.37,320,1.000,bicubic
resnetrs200,95.990,4.010,99.440,0.560,93.21,320,1.000,bicubic
tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
vit_small_patch16_384,95.980,4.020,99.590,0.410,22.20,384,1.000,bicubic
resnetrs152,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic
xcit_small_12_p8_224_dist,95.960,4.040,99.420,0.580,26.21,224,1.000,bicubic
convnext_base,95.950,4.050,99.380,0.620,88.59,224,0.875,bicubic
convnext_base,95.940,4.060,99.380,0.620,88.59,224,0.875,bicubic
ig_resnext101_32x8d,95.940,4.060,99.380,0.620,88.79,224,0.875,bilinear
eca_nfnet_l1,95.930,4.070,99.490,0.510,41.41,320,1.000,bicubic
xcit_small_24_p8_224,95.910,4.090,99.180,0.820,47.63,224,1.000,bicubic
@ -113,42 +129,52 @@ resmlp_big_24_distilled_224,95.870,4.130,99.440,0.560,129.14,224,0.875,bicubic
resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic
xcit_medium_24_p8_224,95.870,4.130,99.080,0.920,84.32,224,1.000,bicubic
regnetz_d32,95.860,4.140,99.430,0.570,27.58,320,0.950,bicubic
regnety_080,95.850,4.150,99.440,0.560,39.18,288,1.000,bicubic
swin_s3_small_224,95.830,4.170,99.200,0.800,49.74,224,0.900,bicubic
crossvit_15_dagger_408,95.820,4.180,99.310,0.690,28.50,408,1.000,bicubic
xcit_small_24_p16_224_dist,95.800,4.200,99.340,0.660,47.67,224,1.000,bicubic
regnety_064,95.790,4.210,99.290,0.710,30.58,288,1.000,bicubic
regnetv_064,95.770,4.230,99.420,0.580,30.58,288,1.000,bicubic
deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
resnetv2_152x2_bit_teacher,95.750,4.250,99.430,0.570,236.34,224,0.875,bicubic
xcit_small_12_p16_224_dist,95.740,4.260,99.300,0.700,26.25,224,1.000,bicubic
twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic
twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic
regnetv_040,95.730,4.270,99.380,0.620,20.64,288,1.000,bicubic
swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic
twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic
tf_efficientnetv2_s,95.710,4.290,99.400,0.600,21.46,384,1.000,bicubic
efficientnetv2_rw_s,95.700,4.300,99.380,0.620,23.94,384,1.000,bicubic
dm_nfnet_f0,95.690,4.310,99.330,0.670,71.49,256,0.900,bicubic
cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
xception65,95.690,4.310,99.310,0.690,39.92,299,0.940,bicubic
xception65p,95.650,4.350,99.270,0.730,39.82,299,0.940,bicubic
deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
convnext_small,95.630,4.370,99.260,0.740,50.22,224,0.875,bicubic
cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
regnetz_c16_evos,95.630,4.370,99.420,0.580,13.49,320,0.950,bicubic
convnext_small,95.610,4.390,99.260,0.740,50.22,224,0.875,bicubic
swsl_resnext50_32x4d,95.600,4.400,99.440,0.560,25.03,224,0.875,bilinear
tf_efficientnet_b4,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
resnet152,95.570,4.430,99.270,0.730,60.19,224,0.950,bicubic
twins_svt_base,95.570,4.430,99.230,0.770,56.07,224,0.900,bicubic
resnest101e,95.560,4.440,99.270,0.730,48.28,256,0.875,bilinear
resnet152,95.560,4.440,99.270,0.730,60.19,224,0.950,bicubic
jx_nest_base,95.540,4.460,99.300,0.700,67.72,224,0.875,bicubic
jx_nest_small,95.540,4.460,99.220,0.780,38.35,224,0.875,bicubic
efficientnet_b4,95.520,4.480,99.400,0.600,19.34,384,1.000,bicubic
resnext101_64x4d,95.540,4.460,99.290,0.710,83.46,288,1.000,bicubic
efficientnet_b4,95.530,4.470,99.400,0.600,19.34,384,1.000,bicubic
jx_nest_small,95.530,4.470,99.210,0.790,38.35,224,0.875,bicubic
tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
tf_efficientnet_b4_ap,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
regnety_032,95.480,4.520,99.320,0.680,19.44,288,1.000,bicubic
regnety_040,95.480,4.520,99.420,0.580,20.65,288,1.000,bicubic
xcit_tiny_24_p16_384_dist,95.480,4.520,99.360,0.640,12.12,384,1.000,bicubic
twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic
xcit_tiny_24_p8_224_dist,95.460,4.540,99.360,0.640,12.11,224,1.000,bicubic
twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic
eca_nfnet_l0,95.450,4.550,99.390,0.610,24.14,288,1.000,bicubic
xcit_small_12_p8_224,95.420,4.580,99.200,0.800,26.21,224,1.000,bicubic
ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
regnetz_c16,95.400,4.600,99.310,0.690,13.46,320,0.940,bicubic
tresnet_l_448,95.400,4.600,99.300,0.700,55.99,448,0.875,bilinear
nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic
regnetz_c16,95.390,4.610,99.310,0.690,13.46,320,0.940,bicubic
resnetv2_50x1_bit_distilled,95.390,4.610,99.430,0.570,25.55,224,0.875,bicubic
tresnet_m,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear
pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
@ -158,64 +184,71 @@ resnetv2_101x1_bitm,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear
gc_efficientnetv2_rw_t,95.280,4.720,99.220,0.780,13.68,288,1.000,bicubic
resnetrs101,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic
vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
cait_xxs36_384,95.230,4.770,99.320,0.680,17.37,384,1.000,bicubic
cait_xxs36_384,95.230,4.770,99.330,0.670,17.37,384,1.000,bicubic
levit_384,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic
resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear
swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear
crossvit_18_dagger_240,95.190,4.810,99.120,0.880,44.27,240,0.875,bicubic
ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
ssl_resnext101_32x4d,95.160,4.840,99.310,0.690,44.18,224,0.875,bilinear
nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
efficientnet_b3,95.130,4.870,99.210,0.790,12.23,320,1.000,bicubic
fbnetv3_g,95.130,4.870,99.200,0.800,16.62,288,0.950,bilinear
efficientnet_b3,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
vit_small_r26_s32_224,95.130,4.870,99.220,0.780,36.43,224,0.900,bicubic
xcit_medium_24_p16_224,95.130,4.870,98.920,1.080,84.40,224,1.000,bicubic
poolformer_m48,95.130,4.870,99.120,0.880,73.47,224,0.950,bicubic
fbnetv3_g,95.130,4.870,99.200,0.800,16.62,288,0.950,bilinear
tf_efficientnetv2_b3,95.120,4.880,99.200,0.800,14.36,300,0.904,bicubic
resnetv2_50d_evos,95.120,4.880,99.230,0.770,25.59,288,0.950,bicubic
resnet61q,95.110,4.890,99.080,0.920,36.85,288,1.000,bicubic
convit_base,95.100,4.900,99.140,0.860,86.54,224,0.875,bicubic
xcit_small_24_p16_224,95.080,4.920,99.060,0.940,47.67,224,1.000,bicubic
resnetv2_50d_gn,95.100,4.900,99.060,0.940,25.57,288,0.950,bicubic
coat_lite_small,95.080,4.920,99.030,0.970,19.84,224,0.900,bicubic
crossvit_18_240,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic
crossvit_base_240,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic
xcit_small_24_p16_224,95.080,4.920,99.060,0.940,47.67,224,1.000,bicubic
ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic
efficientnetv2_rw_t,95.070,4.930,99.220,0.780,13.65,288,1.000,bicubic
crossvit_base_240,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic
crossvit_18_240,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic
tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
halo2botnet50ts_256,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic
xception41p,95.060,4.940,99.150,0.850,26.91,299,0.940,bicubic
deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
convnext_tiny,94.990,5.010,99.200,0.800,28.59,224,0.875,bicubic
halo2botnet50ts_256,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic
poolformer_m36,95.010,4.990,99.100,0.900,56.17,224,0.950,bicubic
crossvit_15_dagger_240,94.980,5.020,99.160,0.840,28.21,240,0.875,bicubic
convmixer_1536_20,94.970,5.030,99.170,0.830,51.63,224,0.960,bicubic
resnet101,94.970,5.030,99.080,0.920,44.55,224,0.950,bicubic
tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
convnext_tiny,94.960,5.040,99.200,0.800,28.59,224,0.875,bicubic
resnet101,94.960,5.040,99.080,0.920,44.55,224,0.950,bicubic
visformer_small,94.960,5.040,99.210,0.790,40.22,224,0.900,bicubic
xcit_large_24_p16_224,94.950,5.050,98.830,1.170,189.10,224,1.000,bicubic
jx_nest_tiny,94.950,5.050,99.100,0.900,17.06,224,0.875,bicubic
xcit_large_24_p16_224,94.950,5.050,98.830,1.170,189.10,224,1.000,bicubic
cait_xxs24_384,94.940,5.060,99.130,0.870,12.03,384,1.000,bicubic
resnetv2_101,94.930,5.070,99.130,0.870,44.54,224,0.950,bicubic
gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear
resnetv2_101,94.930,5.070,99.120,0.880,44.54,224,0.950,bicubic
convit_small,94.920,5.080,99.100,0.900,27.78,224,0.875,bicubic
tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
swin_s3_tiny_224,94.910,5.090,99.160,0.840,28.33,224,0.900,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
xcit_tiny_24_p8_224,94.890,5.110,99.190,0.810,12.11,224,1.000,bicubic
mixer_b16_224_miil,94.880,5.120,99.080,0.920,59.88,224,0.875,bilinear
vit_small_patch16_224,94.880,5.120,99.270,0.730,22.05,224,0.900,bicubic
xcit_tiny_24_p8_224,94.880,5.120,99.190,0.810,12.11,224,1.000,bicubic
tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
xcit_small_12_p16_224,94.820,5.180,99.060,0.940,26.25,224,1.000,bicubic
seresnext50_32x4d,94.810,5.190,99.130,0.870,27.56,224,0.875,bicubic
seresnext50_32x4d,94.800,5.200,99.130,0.870,27.56,224,0.875,bicubic
pit_b_224,94.790,5.210,98.820,1.180,73.76,224,0.900,bicubic
lamhalobotnet50ts_256,94.780,5.220,98.980,1.020,22.57,256,0.950,bicubic
twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic
coat_mini,94.770,5.230,98.950,1.050,10.34,224,0.900,bicubic
convnext_tiny_hnf,94.770,5.230,99.160,0.840,28.59,224,0.950,bicubic
twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic
resnetv2_50x1_bitm,94.750,5.250,99.180,0.820,25.55,448,1.000,bilinear
pit_s_distilled_224,94.750,5.250,99.180,0.820,24.04,224,0.900,bicubic
pit_s_distilled_224,94.740,5.260,99.180,0.820,24.04,224,0.900,bicubic
xcit_tiny_12_p8_224_dist,94.730,5.270,99.180,0.820,6.71,224,1.000,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
crossvit_15_240,94.720,5.280,99.080,0.920,27.53,240,0.875,bicubic
gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
crossvit_15_240,94.710,5.290,99.070,0.930,27.53,240,0.875,bicubic
gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
halonet50ts,94.710,5.290,98.820,1.180,22.73,256,0.940,bicubic
resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
xcit_tiny_12_p8_224_dist,94.710,5.290,99.180,0.820,6.71,224,1.000,bicubic
gluon_resnet152_v1s,94.700,5.300,99.060,0.940,60.32,224,0.875,bicubic
resnest50d_4s2x40d,94.710,5.290,99.140,0.860,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
regnetz_b16,94.680,5.320,99.160,0.840,9.72,288,0.940,bicubic
efficientnet_el,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
@ -225,6 +258,7 @@ wide_resnet50_2,94.660,5.340,99.050,0.950,68.88,224,0.875,bicubic
tresnet_m_448,94.650,5.350,99.150,0.850,31.39,448,0.875,bilinear
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
poolformer_s36,94.620,5.380,99.050,0.950,30.86,224,0.900,bicubic
gcresnet50t,94.620,5.380,98.980,1.020,25.90,256,0.900,bicubic
deit_small_distilled_patch16_224,94.600,5.400,99.100,0.900,22.44,224,0.900,bicubic
twins_pcpvt_small,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic
@ -232,16 +266,16 @@ vit_small_patch32_384,94.600,5.400,99.140,0.860,22.92,384,1.000,bicubic
pit_s_224,94.590,5.410,98.920,1.080,23.46,224,0.900,bicubic
crossvit_small_240,94.580,5.420,99.120,0.880,26.86,240,0.875,bicubic
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
lambda_resnet50ts,94.570,5.430,98.650,1.350,21.54,256,0.950,bicubic
tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic
resnext50_32x4d,94.570,5.430,98.800,1.200,25.03,224,0.950,bicubic
tnt_s_patch16_224,94.570,5.430,99.180,0.820,23.76,224,0.900,bicubic
lambda_resnet50ts,94.570,5.430,98.650,1.350,21.54,256,0.950,bicubic
repvgg_b3,94.560,5.440,98.910,1.090,123.09,224,0.875,bilinear
gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear
resmlp_36_distilled_224,94.550,5.450,99.160,0.840,44.69,224,0.875,bicubic
sehalonet33ts,94.530,5.470,98.760,1.240,13.69,256,0.940,bicubic
xcit_tiny_12_p16_384_dist,94.530,5.470,99.170,0.830,6.72,384,1.000,bicubic
haloregnetz_b,94.520,5.480,98.970,1.030,11.68,224,0.940,bicubic
regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
haloregnetz_b,94.520,5.480,98.960,1.040,11.68,224,0.940,bicubic
sehalonet33ts,94.520,5.480,98.750,1.250,13.69,256,0.940,bicubic
repvgg_b3g4,94.500,5.500,99.020,0.980,83.83,224,0.875,bilinear
ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
@ -249,105 +283,102 @@ gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
convmixer_768_32,94.430,5.570,99.110,0.890,21.11,224,0.960,bicubic
gcresnext50ts,94.410,5.590,98.990,1.010,15.67,256,0.900,bicubic
levit_256,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic
resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
nf_resnet50,94.390,5.610,99.070,0.930,25.56,288,0.940,bicubic
vit_base_patch32_224,94.390,5.610,99.060,0.940,88.22,224,0.900,bicubic
resnest50d_1s4x24d,94.380,5.620,99.070,0.930,25.68,224,0.875,bicubic
inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
nf_resnet50,94.380,5.620,99.070,0.930,25.56,288,0.940,bicubic
efficientnet_b2,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
tf_efficientnet_el,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic
xcit_tiny_12_p8_224,94.360,5.640,99.070,0.930,6.71,224,1.000,bicubic
gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
resmlp_24_distilled_224,94.340,5.660,99.090,0.910,30.02,224,0.875,bicubic
inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic
sebotnet33ts_256,94.310,5.690,98.600,1.400,13.70,256,0.940,bicubic
resmlp_24_distilled_224,94.340,5.660,99.090,0.910,30.02,224,0.875,bicubic
poolformer_s24,94.330,5.670,99.060,0.940,21.39,224,0.900,bicubic
ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
sebotnet33ts_256,94.310,5.690,98.590,1.410,13.70,256,0.940,bicubic
resmlp_big_24_224,94.270,5.730,98.820,1.180,129.14,224,0.875,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
resnetv2_50,94.270,5.730,98.930,1.070,25.55,224,0.950,bicubic
rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
seresnet33ts,94.270,5.730,98.780,1.220,19.78,256,0.900,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
regnetx_120,94.260,5.740,99.190,0.810,46.11,224,0.875,bicubic
rexnet_150,94.260,5.740,99.080,0.920,9.73,224,0.875,bicubic
mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
regnetx_320,94.220,5.780,99.050,0.950,107.81,224,0.875,bicubic
xcit_tiny_24_p16_224_dist,94.220,5.780,98.960,1.040,12.12,224,1.000,bicubic
tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
xcit_tiny_24_p16_224_dist,94.210,5.790,98.960,1.040,12.12,224,1.000,bicubic
ecaresnet50d,94.200,5.800,99.020,0.980,25.58,224,0.875,bicubic
dpn92,94.180,5.820,98.930,1.070,37.67,224,0.875,bicubic
resnet50_gn,94.180,5.820,98.920,1.080,25.56,224,0.940,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
regnety_064,94.130,5.870,99.030,0.970,30.58,224,0.875,bicubic
tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear
gluon_resnext101_32x4d,94.120,5.880,98.940,1.060,44.18,224,0.875,bicubic
legacy_seresnext101_32x4d,94.120,5.880,98.970,1.030,48.96,224,0.875,bilinear
tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
efficientnet_el_pruned,94.080,5.920,99.020,0.980,10.59,300,0.904,bicubic
seresnet50,94.080,5.920,98.960,1.040,28.09,224,0.875,bicubic
efficientnet_el_pruned,94.090,5.910,99.020,0.980,10.59,300,0.904,bicubic
seresnet50,94.080,5.920,98.950,1.050,28.09,224,0.875,bicubic
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
tf_efficientnetv2_b2,94.070,5.930,98.930,1.070,10.10,260,0.890,bicubic
gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
gluon_resnet152_v1b,94.030,5.970,98.750,1.250,60.19,224,0.875,bicubic
hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
gluon_xception65,94.020,5.980,99.020,0.980,39.92,299,0.903,bicubic
resnetrs50,94.020,5.980,98.850,1.150,35.69,224,0.910,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.040,0.960,51.82,224,0.875,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
deit_small_patch16_224,93.990,6.010,98.960,1.040,22.05,224,0.900,bicubic
deit_small_patch16_224,93.980,6.020,98.960,1.040,22.05,224,0.900,bicubic
dpn107,93.960,6.040,98.830,1.170,86.92,224,0.875,bicubic
ecaresnet26t,93.950,6.050,98.920,1.080,16.01,320,0.950,bicubic
skresnext50_32x4d,93.950,6.050,98.830,1.170,27.48,224,0.875,bicubic
cait_xxs36_224,93.930,6.070,98.890,1.110,17.30,224,1.000,bicubic
resnet50,93.930,6.070,98.470,1.530,25.56,224,0.950,bicubic
cait_xxs36_224,93.930,6.070,98.880,1.120,17.30,224,1.000,bicubic
dpn98,93.920,6.080,98.920,1.080,61.57,224,0.875,bicubic
resnet50,93.920,6.080,98.470,1.530,25.56,224,0.950,bicubic
gluon_resnet152_v1c,93.890,6.110,98.800,1.200,60.21,224,0.875,bicubic
regnetx_160,93.890,6.110,99.090,0.910,54.28,224,0.875,bicubic
regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
vit_base_patch16_224_sam,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
nf_regnet_b1,93.880,6.120,98.740,1.260,10.22,288,0.900,bicubic
xception71,93.880,6.120,98.950,1.050,42.34,299,0.903,bicubic
cspresnet50,93.860,6.140,98.860,1.140,21.62,256,0.887,bilinear
eca_resnet33ts,93.860,6.140,98.890,1.110,19.68,256,0.900,bicubic
xcit_tiny_24_p16_224,93.850,6.150,98.760,1.240,12.12,224,1.000,bicubic
ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
fbnetv3_d,93.840,6.160,98.910,1.090,10.31,256,0.950,bilinear
hrnet_w64,93.840,6.160,98.930,1.070,128.06,224,0.875,bilinear
xcit_tiny_24_p16_224,93.840,6.160,98.760,1.240,12.12,224,1.000,bicubic
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
gcresnet33ts,93.820,6.180,98.910,1.090,19.88,256,0.900,bicubic
repvgg_b2g4,93.810,6.190,98.930,1.070,61.76,224,0.875,bilinear
resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
dla169,93.800,6.200,98.830,1.170,53.39,224,0.875,bilinear
regnetx_080,93.790,6.210,98.900,1.100,39.57,224,0.875,bicubic
cspresnext50,93.780,6.220,98.840,1.160,20.57,224,0.875,bilinear
gluon_resnet101_v1b,93.770,6.230,98.690,1.310,44.55,224,0.875,bicubic
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
dpn131,93.750,6.250,98.840,1.160,79.25,224,0.875,bicubic
gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
dpn131,93.750,6.250,98.830,1.170,79.25,224,0.875,bicubic
efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
wide_resnet101_2,93.720,6.280,98.810,1.190,126.89,224,0.875,bilinear
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
levit_192,93.710,6.290,98.800,1.200,10.95,224,0.900,bicubic
resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
tf_efficientnetv2_b1,93.710,6.290,98.820,1.180,8.14,240,0.882,bicubic
levit_192,93.710,6.290,98.800,1.200,10.95,224,0.900,bicubic
gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic
rexnet_130,93.680,6.320,98.710,1.290,7.56,224,0.875,bicubic
regnetx_040,93.670,6.330,98.940,1.060,22.12,224,0.875,bicubic
resmlp_36_224,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic
fbnetv3_b,93.650,6.350,98.910,1.090,8.60,256,0.950,bilinear
gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic
xception,93.640,6.360,98.760,1.240,22.86,299,0.897,bicubic
fbnetv3_b,93.640,6.360,98.910,1.090,8.60,256,0.950,bilinear
resnet33ts,93.630,6.370,98.760,1.240,19.68,256,0.900,bicubic
tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
regnetx_064,93.620,6.380,99.050,0.950,26.21,224,0.875,bicubic
res2net50_26w_6s,93.610,6.390,98.740,1.260,37.05,224,0.875,bilinear
hrnet_w44,93.610,6.390,98.960,1.040,67.06,224,0.875,bilinear
regnety_040,93.610,6.390,98.950,1.050,20.65,224,0.875,bicubic
halonet26t,93.600,6.400,98.640,1.360,12.48,256,0.950,bicubic
res2net50_26w_6s,93.600,6.400,98.750,1.250,37.05,224,0.875,bilinear
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear
dla60_res2next,93.570,6.430,98.790,1.210,17.03,224,0.875,bilinear
@ -356,71 +387,72 @@ tf_efficientnet_cc_b1_8e,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic
eca_halonext26ts,93.560,6.440,98.680,1.320,10.76,256,0.940,bicubic
gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic
gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic
dla102x,93.520,6.480,98.850,1.150,26.31,224,0.875,bilinear
res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
coat_tiny,93.510,6.490,98.690,1.310,5.50,224,0.900,bicubic
coat_tiny,93.520,6.480,98.690,1.310,5.50,224,0.900,bicubic
dla102x,93.520,6.480,98.850,1.150,26.31,224,0.875,bilinear
gmlp_s16_224,93.510,6.490,98.780,1.220,19.42,224,0.875,bicubic
selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
cait_xxs24_224,93.490,6.510,98.770,1.230,11.96,224,1.000,bicubic
cait_xxs24_224,93.490,6.510,98.780,1.220,11.96,224,1.000,bicubic
xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
coat_lite_mini,93.460,6.540,98.780,1.220,11.01,224,0.900,bicubic
vit_tiny_patch16_384,93.450,6.550,98.830,1.170,5.79,384,1.000,bicubic
legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
resmlp_24_224,93.440,6.560,98.810,1.190,30.02,224,0.875,bicubic
botnet26t_256,93.430,6.570,98.660,1.340,12.49,256,0.950,bicubic
lambda_resnet26rpt_256,93.430,6.570,98.880,1.120,10.99,256,0.940,bicubic
legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
vit_tiny_patch16_384,93.430,6.570,98.830,1.170,5.79,384,1.000,bicubic
res2net50_26w_8s,93.420,6.580,98.690,1.310,48.40,224,0.875,bilinear
repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear
lambda_resnet26t,93.400,6.600,98.740,1.260,10.96,256,0.940,bicubic
lambda_resnet26t,93.400,6.600,98.730,1.270,10.96,256,0.940,bicubic
hrnet_w30,93.390,6.610,98.830,1.170,37.71,224,0.875,bilinear
dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
eca_botnext26ts_256,93.360,6.640,98.700,1.300,10.59,256,0.950,bicubic
xcit_tiny_12_p16_224_dist,93.340,6.660,98.740,1.260,6.72,224,1.000,bicubic
xcit_nano_12_p8_384_dist,93.280,6.720,98.850,1.150,3.05,384,1.000,bicubic
mixnet_l,93.270,6.730,98.700,1.300,7.33,224,0.875,bicubic
eca_botnext26ts_256,93.370,6.630,98.700,1.300,10.59,256,0.950,bicubic
xcit_tiny_12_p16_224_dist,93.350,6.650,98.740,1.260,6.72,224,1.000,bicubic
legacy_seresnet101,93.270,6.730,98.740,1.260,49.33,224,0.875,bilinear
mixnet_l,93.270,6.730,98.700,1.300,7.33,224,0.875,bicubic
dla102,93.260,6.740,98.770,1.230,33.27,224,0.875,bilinear
xcit_nano_12_p8_384_dist,93.260,6.740,98.850,1.150,3.05,384,1.000,bicubic
regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
pit_xs_distilled_224,93.240,6.760,98.830,1.170,11.00,224,0.900,bicubic
resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
pit_xs_distilled_224,93.240,6.760,98.820,1.180,11.00,224,0.900,bicubic
tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
tf_efficientnet_em,93.180,6.820,98.670,1.330,6.90,240,0.882,bicubic
tf_efficientnet_em,93.170,6.830,98.670,1.330,6.90,240,0.882,bicubic
mobilevit_s,93.160,6.840,98.780,1.220,5.58,256,0.900,bicubic
res2next50,93.140,6.860,98.650,1.350,24.67,224,0.875,bilinear
bat_resnext26ts,93.100,6.900,98.730,1.270,10.73,256,0.900,bicubic
bat_resnext26ts,93.110,6.890,98.730,1.270,10.73,256,0.900,bicubic
tf_efficientnetv2_b0,93.060,6.940,98.700,1.300,7.14,224,0.875,bicubic
levit_128,93.040,6.960,98.680,1.320,9.21,224,0.900,bicubic
tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
levit_128,93.040,6.960,98.680,1.320,9.21,224,0.900,bicubic
efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic
selecsls60,93.000,7.000,98.830,1.170,30.67,224,0.875,bicubic
hardcorenas_f,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear
efficientnet_b1_pruned,92.970,7.030,98.520,1.480,6.33,240,0.882,bicubic
hardcorenas_e,92.950,7.050,98.570,1.430,8.07,224,0.875,bilinear
hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear
gluon_resnet50_v1c,92.920,7.080,98.710,1.290,25.58,224,0.875,bicubic
hardcorenas_e,92.940,7.060,98.570,1.430,8.07,224,0.875,bilinear
efficientnet_es,92.920,7.080,98.690,1.310,5.44,224,0.875,bicubic
pit_xs_224,92.910,7.090,98.770,1.230,10.62,224,0.900,bicubic
gluon_resnet50_v1c,92.920,7.080,98.700,1.300,25.58,224,0.875,bicubic
pit_xs_224,92.910,7.090,98.780,1.220,10.62,224,0.900,bicubic
tv_resnext50_32x4d,92.910,7.090,98.720,1.280,25.03,224,0.875,bilinear
inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
densenet161,92.890,7.110,98.810,1.190,28.68,224,0.875,bicubic
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
resmlp_12_distilled_224,92.870,7.130,98.620,1.380,15.35,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
coat_lite_tiny,92.860,7.140,98.630,1.370,5.72,224,0.900,bicubic
coat_lite_tiny,92.860,7.140,98.640,1.360,5.72,224,0.900,bicubic
rexnet_100,92.840,7.160,98.620,1.380,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
seresnext26t_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic
seresnext26ts,92.810,7.190,98.600,1.400,10.39,256,0.900,bicubic
res2net50_48w_2s,92.790,7.210,98.480,1.520,25.29,224,0.875,bilinear
seresnext26ts,92.820,7.180,98.600,1.400,10.39,256,0.900,bicubic
seresnext26t_32x4d,92.810,7.190,98.560,1.440,16.81,224,0.875,bicubic
tinynet_a,92.790,7.210,98.560,1.440,6.19,192,0.875,bicubic
crossvit_9_dagger_240,92.750,7.250,98.510,1.490,8.78,240,0.875,bicubic
res2net50_48w_2s,92.790,7.210,98.480,1.520,25.29,224,0.875,bilinear
crossvit_9_dagger_240,92.760,7.240,98.510,1.490,8.78,240,0.875,bicubic
hrnet_w18,92.750,7.250,98.660,1.340,21.30,224,0.875,bilinear
densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
gmixer_24_224,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic
@ -437,40 +469,41 @@ tf_efficientnet_lite2,92.580,7.420,98.550,1.450,6.09,260,0.890,bicubic
skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
gcresnext26ts,92.470,7.530,98.490,1.510,10.48,256,0.900,bicubic
poolformer_s12,92.470,7.530,98.350,1.650,11.92,224,0.900,bicubic
xcit_tiny_12_p16_224,92.460,7.540,98.630,1.370,6.72,224,1.000,bicubic
gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
seresnext26d_32x4d,92.430,7.570,98.540,1.460,16.81,224,0.875,bicubic
xcit_nano_12_p8_224_dist,92.420,7.580,98.530,1.470,3.05,224,1.000,bicubic
xcit_nano_12_p8_224_dist,92.430,7.570,98.520,1.480,3.05,224,1.000,bicubic
eca_resnext26ts,92.410,7.590,98.620,1.380,10.30,256,0.900,bicubic
densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
convmixer_1024_20_ks9_p14,92.350,7.650,98.420,1.580,24.38,224,0.960,bicubic
hardcorenas_c,92.330,7.670,98.350,1.650,5.52,224,0.875,bilinear
hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear
tf_efficientnet_lite1,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic
densenet169,92.290,7.710,98.590,1.410,14.15,224,0.875,bicubic
densenet169,92.280,7.720,98.590,1.410,14.15,224,0.875,bicubic
mixnet_m,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic
dpn68,92.260,7.740,98.610,1.390,12.61,224,0.875,bicubic
mobilenetv3_large_100_miil,92.250,7.750,98.250,1.750,5.48,224,0.875,bilinear
resnet26d,92.250,7.750,98.450,1.550,16.01,224,0.875,bicubic
resnext26ts,92.220,7.780,98.250,1.750,10.30,256,0.900,bicubic
tf_mixnet_m,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic
vit_small_patch32_224,92.160,7.840,98.510,1.490,22.88,224,0.900,bicubic
vit_small_patch32_224,92.150,7.850,98.510,1.490,22.88,224,0.900,bicubic
tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
resmlp_12_224,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic
tv_resnet50,92.120,7.880,98.420,1.580,25.56,224,0.875,bilinear
tf_efficientnet_es,92.110,7.890,98.430,1.570,5.44,224,0.875,bicubic
xcit_nano_12_p16_384_dist,92.110,7.890,98.520,1.480,3.05,384,1.000,bicubic
tf_efficientnet_es,92.100,7.900,98.430,1.570,5.44,224,0.875,bicubic
mobilenetv2_140,92.050,7.950,98.250,1.750,6.11,224,0.875,bicubic
mobilenetv2_140,92.040,7.960,98.250,1.750,6.11,224,0.875,bicubic
ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic
hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear
densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
hardcorenas_b,91.930,8.070,98.400,1.600,5.18,224,0.875,bilinear
regnety_008,91.910,8.090,98.420,1.580,6.26,224,0.875,bicubic
vit_tiny_patch16_224,91.910,8.090,98.340,1.660,5.72,224,0.900,bicubic
mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
vit_tiny_r_s16_p8_384,91.730,8.270,98.430,1.570,6.36,384,1.000,bicubic
efficientnet_es_pruned,91.710,8.290,98.410,1.590,5.44,224,0.875,bicubic
efficientnet_es_pruned,91.700,8.300,98.410,1.590,5.44,224,0.875,bicubic
repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
@ -480,22 +513,23 @@ mobilenetv3_rw,91.540,8.460,98.270,1.730,5.48,224,0.875,bicubic
levit_128s,91.500,8.500,98.400,1.600,7.78,224,0.900,bicubic
legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
resnet26,91.450,8.550,98.270,1.730,16.00,224,0.875,bicubic
resnet26,91.440,8.560,98.260,1.740,16.00,224,0.875,bicubic
tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
tv_densenet121,91.410,8.590,98.250,1.750,7.98,224,0.875,bicubic
mobilenetv2_110d,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic
mobilenetv2_110d,91.340,8.660,98.180,1.820,4.52,224,0.875,bicubic
tf_efficientnet_lite0,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic
fbnetc_100,91.260,8.740,97.830,2.170,5.57,224,0.875,bilinear
efficientnet_lite0,91.250,8.750,98.250,1.750,4.65,224,0.875,bicubic
efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic
dla34,91.230,8.770,98.180,1.820,15.74,224,0.875,bilinear
mnasnet_100,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic
resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear
mobilevit_xs,91.180,8.820,98.220,1.780,2.32,256,0.900,bicubic
hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear
regnetx_008,91.160,8.840,98.380,1.620,7.26,224,0.875,bicubic
xcit_nano_12_p8_224,91.140,8.860,98.230,1.770,3.05,224,1.000,bicubic
mixer_b16_224,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic
resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
tinynet_b,91.130,8.870,98.070,1.930,3.73,188,0.875,bicubic
resnest14d,91.120,8.880,98.330,1.670,10.61,224,0.875,bilinear
xcit_nano_12_p8_224,91.120,8.880,98.240,1.760,3.05,224,1.000,bicubic
deit_tiny_distilled_patch16_224,91.110,8.890,98.270,1.730,5.91,224,0.900,bicubic
gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
swsl_resnet18,91.080,8.920,98.210,1.790,11.69,224,0.875,bilinear
@ -505,49 +539,53 @@ pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic
regnetx_006,90.770,9.230,98.100,1.900,6.20,224,0.875,bicubic
regnety_004,90.770,9.230,98.080,1.920,4.34,224,0.875,bicubic
ssl_resnet18,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear
spnasnet_100,90.600,9.400,97.950,2.050,4.42,224,0.875,bilinear
convit_tiny,90.550,9.450,98.220,1.780,5.71,224,0.875,bicubic
crossvit_tiny_240,90.540,9.460,97.950,2.050,7.01,240,0.875,bicubic
spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
convit_tiny,90.550,9.450,98.210,1.790,5.71,224,0.875,bicubic
crossvit_tiny_240,90.540,9.460,97.940,2.060,7.01,240,0.875,bicubic
vgg16_bn,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear
ghostnet_100,90.440,9.560,97.830,2.170,5.18,224,0.875,bilinear
pit_ti_224,90.440,9.560,98.010,1.990,4.85,224,0.900,bicubic
pit_ti_224,90.430,9.570,98.000,2.000,4.85,224,0.900,bicubic
tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
semnasnet_075,90.200,9.800,97.970,2.030,2.91,224,0.875,bicubic
semnasnet_075,90.210,9.790,97.970,2.030,2.91,224,0.875,bicubic
skresnet18,90.170,9.830,97.780,2.220,11.96,224,0.875,bicubic
xcit_nano_12_p16_224_dist,90.170,9.830,97.760,2.240,3.05,224,1.000,bicubic
xcit_nano_12_p16_224_dist,90.160,9.840,97.760,2.240,3.05,224,1.000,bicubic
resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
hrnet_w18_small,89.880,10.120,97.890,2.110,13.19,224,0.875,bilinear
vit_base_patch32_224_sam,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic
mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
regnetx_004,89.470,10.530,97.770,2.230,5.16,224,0.875,bicubic
vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear
vit_tiny_r_s16_p8_224,89.350,10.650,97.700,2.300,6.34,224,0.900,bicubic
vit_tiny_r_s16_p8_224,89.340,10.660,97.700,2.300,6.34,224,0.900,bicubic
legacy_seresnet18,89.260,10.740,97.680,2.320,11.78,224,0.875,bicubic
vgg13_bn,89.200,10.800,97.520,2.480,133.05,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,89.170,10.830,97.320,2.680,3.92,224,0.875,bilinear
xcit_nano_12_p16_224,88.970,11.030,97.390,2.610,3.05,224,1.000,bicubic
lcnet_100,88.950,11.050,97.380,2.620,2.95,224,0.875,bicubic
lcnet_100,88.960,11.040,97.380,2.620,2.95,224,0.875,bicubic
xcit_nano_12_p16_224,88.950,11.050,97.390,2.610,3.05,224,1.000,bicubic
gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
tinynet_c,88.420,11.580,97.260,2.740,2.46,184,0.875,bicubic
vgg11_bn,88.390,11.610,97.270,2.730,132.87,224,0.875,bilinear
regnety_002,88.190,11.810,97.420,2.580,3.16,224,0.875,bicubic
resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
mobilevit_xxs,87.950,12.050,97.180,2.820,1.27,256,0.900,bicubic
vgg13,87.570,12.430,97.120,2.880,133.05,224,0.875,bilinear
regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic
vgg11,87.340,12.660,97.110,2.890,132.86,224,0.875,bilinear
dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
mixer_l16_224,86.970,13.030,94.040,5.960,208.20,224,0.875,bicubic
lcnet_075,86.940,13.060,96.530,3.470,2.36,224,0.875,bicubic
mobilenetv3_small_100,86.170,13.830,96.460,3.540,2.54,224,0.875,bicubic
tf_mobilenetv3_small_100,85.970,14.030,96.410,3.590,2.54,224,0.875,bilinear
mnasnet_small,85.510,14.490,95.980,4.020,2.03,224,0.875,bicubic
dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear
tinynet_d,85.430,14.570,96.020,3.980,2.34,152,0.875,bicubic
mobilenetv2_050,84.990,15.010,95.620,4.380,1.97,224,0.875,bicubic
mnasnet_small,84.920,15.080,95.930,4.070,2.03,224,0.875,bicubic
dla46_c,84.670,15.330,96.200,3.800,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear
mobilenetv3_small_075,84.120,15.880,95.500,4.500,2.04,224,0.875,bicubic
lcnet_050,83.000,17.000,95.020,4.980,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,82.680,17.320,95.010,4.990,2.04,224,0.875,bilinear
tinynet_e,79.800,20.200,93.980,6.020,2.04,106,0.875,bicubic
mobilenetv3_small_050,78.100,21.900,93.010,6.990,1.59,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 beit_large_patch16_384 97.810 2.190 99.790 0.210 305.00 384 1.000 bicubic
beit_large_patch16_512 97.780 2.220 99.820 0.180 305.67 512 1.000 bicubic
3 tf_efficientnet_l2_ns 97.780 2.220 99.890 0.110 480.31 800 0.960 bicubic
4 beit_large_patch16_512 97.780 2.220 99.820 0.180 305.67 512 1.000 bicubic
5 tf_efficientnet_l2_ns_475 97.750 2.250 99.820 0.180 480.31 475 0.936 bicubic
6 convnext_xlarge_384_in22ft1k 97.550 2.450 99.800 0.200 350.20 384 1.000 bicubic
7 beit_large_patch16_224 97.480 2.520 99.690 0.310 304.43 224 0.900 bicubic
8 convnext_large_384_in22ft1k 97.440 2.560 99.780 0.220 197.77 384 1.000 bicubic
9 vit_large_patch16_384 97.420 2.580 99.780 0.220 304.72 384 1.000 bicubic
10 beit_base_patch16_384 97.330 2.670 99.720 0.280 86.74 384 1.000 bicubic
11 convnext_base_384_in22ft1k 97.280 97.290 2.720 2.710 99.770 99.780 0.230 0.220 88.59 384 1.000 bicubic
12 volo_d5_512 97.290 2.710 99.760 0.240 296.09 512 1.150 bicubic
13 convnext_large_in22ft1k 97.260 2.740 99.650 0.350 197.77 224 0.875 bicubic
14 convnext_xlarge_in22ft1k 97.240 2.760 99.730 0.270 350.20 224 0.875 bicubic
15 volo_d5_448 97.240 2.760 99.740 0.260 295.91 448 1.150 bicubic
16 tf_efficientnet_b7_ns 97.200 2.800 99.700 0.300 66.35 600 0.949 bicubic
17 swin_large_patch4_window12_384 97.180 2.820 99.680 0.320 196.74 384 1.000 bicubic
18 tf_efficientnetv2_xl_in21ft1k 97.150 2.850 99.620 0.380 208.12 512 1.000 bicubic
19 swin_base_patch4_window12_384 97.120 2.880 99.780 0.220 87.90 384 1.000 bicubic
20 tf_efficientnetv2_l_in21ft1k 97.110 2.890 99.710 0.290 118.52 480 1.000 bicubic
21 vit_base_patch8_224 97.080 2.920 99.620 99.610 0.380 0.390 86.58 224 0.900 bicubic
22 tf_efficientnet_b6_ns volo_d4_448 97.020 97.070 2.980 2.930 99.710 99.750 0.290 0.250 43.04 193.41 528 448 0.942 1.150 bicubic
23 volo_d3_448 97.020 2.980 99.680 0.320 86.63 448 1.000 bicubic
24 vit_base_patch16_384 97.020 2.980 99.710 0.290 86.86 384 1.000 bicubic
25 tf_efficientnet_b6_ns 97.020 2.980 99.710 0.290 43.04 528 0.942 bicubic
26 ig_resnext101_32x48d 96.970 3.030 99.670 0.330 828.41 224 0.875 bilinear
27 tf_efficientnetv2_m_in21ft1k 96.970 3.030 99.610 0.390 54.14 480 1.000 bicubic
28 swin_large_patch4_window7_224 96.950 3.050 99.660 0.340 196.53 224 0.900 bicubic
29 vit_large_r50_s32_384 96.950 3.050 99.710 0.290 329.09 384 1.000 bicubic
30 xcit_large_24_p16_384_dist 96.940 3.060 99.510 0.490 189.10 384 1.000 bicubic
31 dm_nfnet_f6 96.920 3.080 99.720 0.280 438.36 576 0.956 bicubic
32 volo_d5_224 96.880 3.120 99.670 0.330 295.46 224 0.960 bicubic
33 cait_m48_448 96.880 3.120 99.620 0.380 356.46 448 1.000 bicubic
34 resnetv2_152x4_bitm 96.880 3.120 99.660 0.340 936.53 480 1.000 bilinear
35 tf_efficientnet_b5_ns 96.870 3.130 99.640 0.360 30.39 456 0.934 bicubic
36 convnext_base_in22ft1k 96.860 96.840 3.140 3.160 99.650 0.350 88.59 224 0.875 bicubic
37 cait_m36_384 96.830 3.170 99.660 0.340 271.22 384 1.000 bicubic
38 xcit_small_24_p8_384_dist 96.820 3.180 99.630 0.370 47.63 384 1.000 bicubic
39 dm_nfnet_f5 96.810 3.190 99.670 0.330 377.21 544 0.954 bicubic
xcit_small_24_p8_384_dist 96.810 3.190 99.630 0.370 47.63 384 1.000 bicubic
xcit_medium_24_p8_384_dist 96.780 3.220 99.610 0.390 84.32 384 1.000 bicubic
40 ig_resnext101_32x32d 96.780 3.220 99.530 0.470 468.53 224 0.875 bilinear
41 xcit_medium_24_p8_384_dist 96.780 3.220 99.610 0.390 84.32 384 1.000 bicubic
42 volo_d4_224 96.780 3.220 99.670 0.330 192.96 224 0.960 bicubic
43 dm_nfnet_f4 96.780 3.220 99.620 0.380 316.07 512 0.951 bicubic
44 xcit_large_24_p8_384_dist 96.760 3.240 99.560 0.440 188.93 384 1.000 bicubic
45 dm_nfnet_f3 96.730 3.270 99.630 0.370 254.92 416 0.940 bicubic
46 tf_efficientnet_b4_ns 96.710 3.290 99.640 0.360 19.34 380 0.922 bicubic
47 vit_large_patch16_224 96.710 3.290 99.650 0.350 304.33 224 0.900 bicubic
48 tf_efficientnet_b8 volo_d2_384 96.700 96.710 3.300 3.290 99.530 99.600 0.470 0.400 87.41 58.87 672 384 0.954 1.000 bicubic
49 xcit_medium_24_p16_384_dist 96.700 3.300 99.600 0.400 84.40 384 1.000 bicubic
50 tf_efficientnet_b8 96.700 3.300 99.530 0.470 87.41 672 0.954 bicubic
51 swin_base_patch4_window7_224 96.680 3.320 99.660 0.340 87.77 224 0.900 bicubic
52 beit_base_patch16_224 96.660 3.340 99.660 0.340 86.53 224 0.900 bicubic
53 tf_efficientnetv2_l 96.650 3.350 99.560 0.440 118.52 480 1.000 bicubic
56 regnetz_e8 96.600 3.400 99.610 0.390 57.70 320 1.000 bicubic
57 tf_efficientnet_b7 96.580 3.420 99.510 0.490 66.35 600 0.949 bicubic
58 cait_s24_384 96.570 3.430 99.550 0.450 47.06 384 1.000 bicubic
tf_efficientnet_b8_ap 96.550 3.450 99.540 0.460 87.41 672 0.954 bicubic
59 xcit_small_24_p8_224_dist 96.550 3.450 99.570 0.430 47.63 224 1.000 bicubic
60 tf_efficientnet_b8_ap 96.550 3.450 99.540 0.460 87.41 672 0.954 bicubic
61 tf_efficientnetv2_m 96.540 3.460 99.570 0.430 54.14 480 1.000 bicubic
62 resnetv2_152x2_bitm 96.520 3.480 99.590 0.410 236.34 448 1.000 bilinear
63 xcit_medium_24_p8_224_dist 96.520 3.480 99.510 0.490 84.32 224 1.000 bicubic
64 deit_base_distilled_patch16_384 96.510 3.490 99.590 0.410 87.63 384 1.000 bicubic
65 xcit_small_12_p8_384_dist 96.480 3.520 99.490 0.510 26.21 384 1.000 bicubic
66 tf_efficientnetv2_s_in21ft1k 96.470 3.530 99.570 0.430 21.46 384 1.000 bicubic
67 dm_nfnet_f2 volo_d1_384 96.460 96.470 3.540 3.530 99.540 99.550 0.460 0.450 193.78 26.78 352 384 0.920 1.000 bicubic
68 ecaresnet269d 96.460 3.540 99.610 0.390 102.09 352 1.000 bicubic
69 dm_nfnet_f2 96.460 3.540 99.540 0.460 193.78 352 0.920 bicubic
70 eca_nfnet_l2 96.450 3.550 99.630 0.370 56.72 384 1.000 bicubic
71 vit_base_r50_s16_384 96.450 3.550 99.660 0.340 98.95 384 1.000 bicubic
72 ig_resnext101_32x16d 96.440 3.560 99.540 0.460 194.03 224 0.875 bilinear
73 volo_d3_224 96.440 3.560 99.620 0.380 86.33 224 0.960 bicubic
74 volo_d2_224 96.420 3.580 99.500 0.500 58.68 224 0.960 bicubic
75 resnetrs420 96.400 3.600 99.540 0.460 191.89 416 1.000 bicubic
76 dm_nfnet_f1 96.380 3.620 99.470 0.530 132.63 320 0.910 bicubic
77 tf_efficientnet_b6_ap 96.370 3.630 99.550 0.450 43.04 528 0.942 bicubic
resmlp_big_24_224_in22ft1k 96.350 3.650 99.520 0.480 129.14 224 0.875 bicubic
78 tf_efficientnet_b7_ap 96.350 3.650 99.590 0.410 66.35 600 0.949 bicubic
79 resmlp_big_24_224_in22ft1k 96.350 3.650 99.520 0.480 129.14 224 0.875 bicubic
80 resnetrs200 96.340 3.660 99.550 0.450 93.21 320 1.000 bicubic
81 xcit_small_24_p16_384_dist 96.340 3.660 99.580 0.420 47.67 384 1.000 bicubic
82 regnetz_040h 96.330 3.670 99.520 0.480 28.94 320 1.000 bicubic
83 xcit_small_12_p16_384_dist 96.330 3.670 99.490 0.510 26.25 384 1.000 bicubic
84 xcit_large_24_p16_224_dist 96.320 3.680 99.500 0.500 189.10 224 1.000 bicubic
85 seresnet152d 96.310 3.690 99.510 0.490 66.84 320 1.000 bicubic
88 swsl_resnext101_32x16d 96.280 3.720 99.500 0.500 194.03 224 0.875 bilinear
89 efficientnetv2_rw_m 96.270 3.730 99.560 0.440 53.24 416 1.000 bicubic
90 resnetv2_50x3_bitm 96.270 3.730 99.630 0.370 217.32 448 1.000 bilinear
91 xcit_medium_24_p16_224_dist 96.260 3.740 99.400 99.410 0.600 0.590 84.40 224 1.000 bicubic
92 resnetv2_101x3_bitm 96.250 3.750 99.580 0.420 387.93 448 1.000 bilinear
93 resnetrs350 96.240 3.760 99.470 0.530 163.96 384 1.000 bicubic
94 swsl_resnext101_32x8d 96.240 3.760 99.590 0.410 88.79 224 0.875 bilinear
95 xcit_tiny_24_p8_384_dist 96.240 96.230 3.760 3.770 99.440 0.560 12.11 384 1.000 bicubic
96 regnetz_d8_evos 96.220 3.780 99.490 0.510 23.46 320 0.950 bicubic
97 resnetv2_152x2_bit_teacher_384 96.190 3.810 99.500 0.500 236.34 384 1.000 bicubic
98 regnetz_040 96.180 3.820 99.510 0.490 27.12 320 1.000 bicubic
99 vit_large_r50_s32_224 96.180 3.820 99.530 0.470 328.99 224 0.900 bicubic
100 crossvit_18_dagger_408 96.130 96.140 3.870 3.860 99.470 0.530 44.61 408 1.000 bicubic
101 resnest269e seresnext101_32x8d 96.130 3.870 99.520 99.360 0.480 0.640 110.93 93.57 416 288 0.928 1.000 bicubic
102 resnest269e 96.120 3.880 99.520 0.480 110.93 416 0.928 bicubic
103 resnet200d 96.110 3.890 99.460 0.540 64.69 320 1.000 bicubic
104 tf_efficientnet_b3_ns 96.100 3.900 99.480 0.520 12.23 300 0.904 bicubic
tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
105 xcit_large_24_p8_224 96.080 3.920 99.150 0.850 188.93 224 1.000 bicubic
106 tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
107 pit_b_distilled_224 96.070 3.930 99.380 0.620 74.79 224 0.900 bicubic
108 resnest200e 96.070 3.930 99.480 0.520 70.20 320 0.909 bicubic
109 resnetrs270 96.060 3.940 99.480 0.520 129.86 352 1.000 bicubic
110 vit_small_r26_s32_384 96.060 3.940 99.550 0.450 36.47 384 1.000 bicubic
111 swsl_resnext101_32x4d 96.040 96.050 3.960 3.950 99.530 0.470 44.18 224 0.875 bilinear
112 swin_s3_base_224 96.040 3.960 99.350 0.650 71.13 224 0.900 bicubic
113 vit_base_patch16_224_miil 96.030 3.970 99.350 0.650 86.54 224 0.875 bilinear
114 volo_d1_224 96.030 3.970 99.390 0.610 26.63 224 0.960 bicubic
115 convnext_large 96.020 3.980 99.470 0.530 197.77 224 0.875 bicubic
116 cait_xs24_384 96.010 3.990 99.430 0.570 26.67 384 1.000 bicubic
117 regnetz_d8 96.010 3.990 99.520 0.480 23.37 320 1.000 bicubic
resnetrs200 95.990 4.010 99.440 0.560 93.21 320 1.000 bicubic
118 tf_efficientnet_b5 95.980 4.020 99.450 0.550 30.39 456 0.934 bicubic
119 vit_small_patch16_384 95.980 4.020 99.590 0.410 22.20 384 1.000 bicubic
120 resnetrs152 95.960 4.040 99.380 0.620 86.62 320 1.000 bicubic
121 xcit_small_12_p8_224_dist 95.960 4.040 99.420 0.580 26.21 224 1.000 bicubic
122 convnext_base 95.950 95.940 4.050 4.060 99.380 0.620 88.59 224 0.875 bicubic
123 ig_resnext101_32x8d 95.940 4.060 99.380 0.620 88.79 224 0.875 bilinear
124 eca_nfnet_l1 95.930 4.070 99.490 0.510 41.41 320 1.000 bicubic
125 xcit_small_24_p8_224 95.910 4.090 99.180 0.820 47.63 224 1.000 bicubic
129 resnet152d 95.870 4.130 99.430 0.570 60.21 320 1.000 bicubic
130 xcit_medium_24_p8_224 95.870 4.130 99.080 0.920 84.32 224 1.000 bicubic
131 regnetz_d32 95.860 4.140 99.430 0.570 27.58 320 0.950 bicubic
132 regnety_080 95.850 4.150 99.440 0.560 39.18 288 1.000 bicubic
133 swin_s3_small_224 95.830 4.170 99.200 0.800 49.74 224 0.900 bicubic
134 crossvit_15_dagger_408 95.820 4.180 99.310 0.690 28.50 408 1.000 bicubic
135 xcit_small_24_p16_224_dist 95.800 4.200 99.340 0.660 47.67 224 1.000 bicubic
136 regnety_064 95.790 4.210 99.290 0.710 30.58 288 1.000 bicubic
137 regnetv_064 95.770 4.230 99.420 0.580 30.58 288 1.000 bicubic
138 deit_base_distilled_patch16_224 95.750 4.250 99.280 0.720 87.34 224 0.900 bicubic
139 resnet101d 95.750 4.250 99.440 0.560 44.57 320 1.000 bicubic
140 resnetv2_152x2_bit_teacher 95.750 4.250 99.430 0.570 236.34 224 0.875 bicubic
141 xcit_small_12_p16_224_dist 95.740 4.260 99.300 0.700 26.25 224 1.000 bicubic
142 twins_svt_large regnetv_040 95.720 95.730 4.280 4.270 99.370 99.380 0.630 0.620 99.27 20.64 224 288 0.900 1.000 bicubic
twins_pcpvt_large 95.720 4.280 99.490 0.510 60.99 224 0.900 bicubic
143 swin_small_patch4_window7_224 95.720 4.280 99.290 0.710 49.61 224 0.900 bicubic
144 twins_pcpvt_large 95.720 4.280 99.490 0.510 60.99 224 0.900 bicubic
145 twins_svt_large 95.720 4.280 99.370 0.630 99.27 224 0.900 bicubic
146 tf_efficientnetv2_s 95.710 4.290 99.400 0.600 21.46 384 1.000 bicubic
147 efficientnetv2_rw_s 95.700 4.300 99.380 0.620 23.94 384 1.000 bicubic
148 dm_nfnet_f0 95.690 4.310 99.330 0.670 71.49 256 0.900 bicubic
149 cait_s24_224 xception65 95.650 95.690 4.350 4.310 99.390 99.310 0.610 0.690 46.92 39.92 224 299 1.000 0.940 bicubic
150 xception65p 95.650 4.350 99.270 0.730 39.82 299 0.940 bicubic
151 deit_base_patch16_384 95.650 4.350 99.240 0.760 86.86 384 1.000 bicubic
152 convnext_small cait_s24_224 95.630 95.650 4.370 4.350 99.260 99.390 0.740 0.610 50.22 46.92 224 0.875 1.000 bicubic
153 regnetz_c16_evos 95.630 4.370 99.420 0.580 13.49 320 0.950 bicubic
154 convnext_small 95.610 4.390 99.260 0.740 50.22 224 0.875 bicubic
155 swsl_resnext50_32x4d 95.600 4.400 99.440 0.560 25.03 224 0.875 bilinear
156 tf_efficientnet_b4 95.590 4.410 99.330 0.670 19.34 380 0.922 bicubic
157 resnet152 95.570 4.430 99.270 0.730 60.19 224 0.950 bicubic
158 twins_svt_base 95.570 4.430 99.230 0.770 56.07 224 0.900 bicubic
159 resnest101e 95.560 4.440 99.270 0.730 48.28 256 0.875 bilinear
resnet152 95.560 4.440 99.270 0.730 60.19 224 0.950 bicubic
160 jx_nest_base 95.540 4.460 99.300 0.700 67.72 224 0.875 bicubic
161 jx_nest_small resnext101_64x4d 95.540 4.460 99.220 99.290 0.780 0.710 38.35 83.46 224 288 0.875 1.000 bicubic
162 efficientnet_b4 95.520 95.530 4.480 4.470 99.400 0.600 19.34 384 1.000 bicubic
163 jx_nest_small 95.530 4.470 99.210 0.790 38.35 224 0.875 bicubic
164 tf_efficientnet_b2_ns 95.520 4.480 99.340 0.660 9.11 260 0.890 bicubic
165 tresnet_xl_448 95.510 4.490 99.340 0.660 78.44 448 0.875 bilinear
166 tf_efficientnet_b4_ap 95.490 4.510 99.390 0.610 19.34 380 0.922 bicubic
167 regnety_032 95.480 4.520 99.320 0.680 19.44 288 1.000 bicubic
168 regnety_040 95.480 4.520 99.420 0.580 20.65 288 1.000 bicubic
169 xcit_tiny_24_p16_384_dist 95.480 4.520 99.360 0.640 12.12 384 1.000 bicubic
twins_pcpvt_base 95.460 4.540 99.390 0.610 43.83 224 0.900 bicubic
170 xcit_tiny_24_p8_224_dist 95.460 4.540 99.360 0.640 12.11 224 1.000 bicubic
171 twins_pcpvt_base 95.460 4.540 99.390 0.610 43.83 224 0.900 bicubic
172 eca_nfnet_l0 95.450 4.550 99.390 0.610 24.14 288 1.000 bicubic
173 xcit_small_12_p8_224 95.420 4.580 99.200 0.800 26.21 224 1.000 bicubic
174 ssl_resnext101_32x16d 95.410 4.590 99.410 0.590 194.03 224 0.875 bilinear
175 regnetz_c16 95.400 4.600 99.310 0.690 13.46 320 0.940 bicubic
176 tresnet_l_448 95.400 4.600 99.300 0.700 55.99 448 0.875 bilinear
177 nfnet_l0 95.390 4.610 99.420 0.580 35.07 288 1.000 bicubic
regnetz_c16 95.390 4.610 99.310 0.690 13.46 320 0.940 bicubic
178 resnetv2_50x1_bit_distilled 95.390 4.610 99.430 0.570 25.55 224 0.875 bicubic
179 tresnet_m 95.380 4.620 99.150 0.850 31.39 224 0.875 bilinear
180 pnasnet5large 95.360 4.640 99.130 0.870 86.06 331 0.911 bicubic
184 gc_efficientnetv2_rw_t 95.280 4.720 99.220 0.780 13.68 288 1.000 bicubic
185 resnetrs101 95.250 4.750 99.210 0.790 63.62 288 0.940 bicubic
186 vit_large_patch32_384 95.240 4.760 99.320 0.680 306.63 384 1.000 bicubic
187 cait_xxs36_384 95.230 4.770 99.320 99.330 0.680 0.670 17.37 384 1.000 bicubic
188 levit_384 95.210 4.790 99.160 0.840 39.13 224 0.900 bicubic
resnet51q 95.200 4.800 99.280 0.720 35.70 288 1.000 bilinear
189 swsl_resnet50 95.200 4.800 99.390 0.610 25.56 224 0.875 bilinear
190 resnet51q 95.200 4.800 99.280 0.720 35.70 288 1.000 bilinear
191 crossvit_18_dagger_240 95.190 4.810 99.120 0.880 44.27 240 0.875 bicubic
192 ecaresnet101d 95.160 4.840 99.230 0.770 44.57 224 0.875 bicubic
193 ssl_resnext101_32x4d 95.160 4.840 99.310 0.690 44.18 224 0.875 bilinear
194 nasnetalarge 95.150 4.850 99.130 0.870 88.75 331 0.911 bicubic
195 efficientnet_b3 95.130 95.140 4.870 4.860 99.210 0.790 12.23 320 1.000 bicubic
fbnetv3_g 95.130 4.870 99.200 0.800 16.62 288 0.950 bilinear
196 vit_small_r26_s32_224 95.130 4.870 99.220 0.780 36.43 224 0.900 bicubic
197 xcit_medium_24_p16_224 95.130 4.870 98.920 1.080 84.40 224 1.000 bicubic
198 poolformer_m48 95.130 4.870 99.120 0.880 73.47 224 0.950 bicubic
199 fbnetv3_g 95.130 4.870 99.200 0.800 16.62 288 0.950 bilinear
200 tf_efficientnetv2_b3 95.120 4.880 99.200 0.800 14.36 300 0.904 bicubic
201 resnetv2_50d_evos 95.120 4.880 99.230 0.770 25.59 288 0.950 bicubic
202 resnet61q 95.110 4.890 99.080 0.920 36.85 288 1.000 bicubic
203 convit_base 95.100 4.900 99.140 0.860 86.54 224 0.875 bicubic
204 xcit_small_24_p16_224 resnetv2_50d_gn 95.080 95.100 4.920 4.900 99.060 0.940 47.67 25.57 224 288 1.000 0.950 bicubic
205 coat_lite_small 95.080 4.920 99.030 0.970 19.84 224 0.900 bicubic
206 crossvit_18_240 xcit_small_24_p16_224 95.070 95.080 4.930 4.920 99.120 99.060 0.880 0.940 43.27 47.67 240 224 0.875 1.000 bicubic
crossvit_base_240 95.070 4.930 98.980 1.020 105.03 240 0.875 bicubic
207 ecaresnet50t 95.070 4.930 99.290 0.710 25.57 320 0.950 bicubic
208 efficientnetv2_rw_t 95.070 4.930 99.220 0.780 13.65 288 1.000 bicubic
209 crossvit_base_240 95.070 4.930 98.980 1.020 105.03 240 0.875 bicubic
210 crossvit_18_240 95.070 4.930 99.120 0.880 43.27 240 0.875 bicubic
211 tresnet_xl 95.060 4.940 99.260 0.740 78.44 224 0.875 bilinear
212 halo2botnet50ts_256 xception41p 95.010 95.060 4.990 4.940 99.040 99.150 0.960 0.850 22.64 26.91 256 299 0.950 0.940 bicubic
213 deit_base_patch16_224 95.010 4.990 98.980 1.020 86.57 224 0.900 bicubic
214 convnext_tiny halo2botnet50ts_256 94.990 95.010 5.010 4.990 99.200 99.040 0.800 0.960 28.59 22.64 224 256 0.875 0.950 bicubic
215 poolformer_m36 95.010 4.990 99.100 0.900 56.17 224 0.950 bicubic
216 crossvit_15_dagger_240 94.980 5.020 99.160 0.840 28.21 240 0.875 bicubic
217 convmixer_1536_20 94.970 5.030 99.170 0.830 51.63 224 0.960 bicubic
resnet101 94.970 5.030 99.080 0.920 44.55 224 0.950 bicubic
218 tf_efficientnet_b3_ap 94.970 5.030 99.110 0.890 12.23 300 0.904 bicubic
219 convnext_tiny 94.960 5.040 99.200 0.800 28.59 224 0.875 bicubic
220 resnet101 94.960 5.040 99.080 0.920 44.55 224 0.950 bicubic
221 visformer_small 94.960 5.040 99.210 0.790 40.22 224 0.900 bicubic
xcit_large_24_p16_224 94.950 5.050 98.830 1.170 189.10 224 1.000 bicubic
222 jx_nest_tiny 94.950 5.050 99.100 0.900 17.06 224 0.875 bicubic
223 xcit_large_24_p16_224 94.950 5.050 98.830 1.170 189.10 224 1.000 bicubic
224 cait_xxs24_384 94.940 5.060 99.130 0.870 12.03 384 1.000 bicubic
225 resnetv2_101 94.930 5.070 99.130 0.870 44.54 224 0.950 bicubic
226 gernet_l 94.930 5.070 99.200 0.800 31.08 256 0.875 bilinear
resnetv2_101 94.930 5.070 99.120 0.880 44.54 224 0.950 bicubic
227 convit_small 94.920 5.080 99.100 0.900 27.78 224 0.875 bicubic
228 tf_efficientnet_b3 94.910 5.090 99.110 0.890 12.23 300 0.904 bicubic
229 swin_s3_tiny_224 94.910 5.090 99.160 0.840 28.33 224 0.900 bicubic
230 tresnet_l 94.900 5.100 99.030 0.970 55.99 224 0.875 bilinear
231 xcit_tiny_24_p8_224 94.890 5.110 99.190 0.810 12.11 224 1.000 bicubic
232 mixer_b16_224_miil 94.880 5.120 99.080 0.920 59.88 224 0.875 bilinear
233 vit_small_patch16_224 94.880 5.120 99.270 0.730 22.05 224 0.900 bicubic
xcit_tiny_24_p8_224 94.880 5.120 99.190 0.810 12.11 224 1.000 bicubic
234 tf_efficientnet_lite4 94.870 5.130 99.090 0.910 13.01 380 0.920 bilinear
235 tf_efficientnet_b1_ns 94.860 5.140 99.250 0.750 7.79 240 0.882 bicubic
236 xcit_small_12_p16_224 94.820 5.180 99.060 0.940 26.25 224 1.000 bicubic
237 seresnext50_32x4d 94.810 94.800 5.190 5.200 99.130 0.870 27.56 224 0.875 bicubic
238 pit_b_224 94.790 5.210 98.820 1.180 73.76 224 0.900 bicubic
239 lamhalobotnet50ts_256 94.780 5.220 98.980 1.020 22.57 256 0.950 bicubic
twins_svt_small 94.770 5.230 99.080 0.920 24.06 224 0.900 bicubic
240 coat_mini 94.770 5.230 98.950 1.050 10.34 224 0.900 bicubic
241 convnext_tiny_hnf 94.770 5.230 99.160 0.840 28.59 224 0.950 bicubic
242 twins_svt_small 94.770 5.230 99.080 0.920 24.06 224 0.900 bicubic
243 resnetv2_50x1_bitm 94.750 5.250 99.180 0.820 25.55 448 1.000 bilinear
244 pit_s_distilled_224 94.750 94.740 5.250 5.260 99.180 0.820 24.04 224 0.900 bicubic
245 xcit_tiny_12_p8_224_dist 94.730 5.270 99.180 0.820 6.71 224 1.000 bicubic
246 legacy_senet154 94.730 5.270 99.100 0.900 115.09 224 0.875 bilinear
247 crossvit_15_240 gluon_resnet152_v1s 94.720 5.280 99.080 99.060 0.920 0.940 27.53 60.32 240 224 0.875 bicubic
248 crossvit_15_240 94.710 5.290 99.070 0.930 27.53 240 0.875 bicubic
249 gluon_senet154 94.710 5.290 98.970 1.030 115.09 224 0.875 bicubic
250 halonet50ts 94.710 5.290 98.820 1.180 22.73 256 0.940 bicubic
251 resnest50d_4s2x40d 94.710 5.290 99.130 99.140 0.870 0.860 30.42 224 0.875 bicubic
xcit_tiny_12_p8_224_dist 94.710 5.290 99.180 0.820 6.71 224 1.000 bicubic
gluon_resnet152_v1s 94.700 5.300 99.060 0.940 60.32 224 0.875 bicubic
252 ssl_resnext50_32x4d 94.700 5.300 99.240 0.760 25.03 224 0.875 bilinear
253 regnetz_b16 94.680 5.320 99.160 0.840 9.72 288 0.940 bicubic
254 efficientnet_el 94.670 5.330 99.130 0.870 10.59 300 0.904 bicubic
258 tresnet_m_448 94.650 5.350 99.150 0.850 31.39 448 0.875 bilinear
259 resnest50d 94.620 5.380 99.030 0.970 27.48 224 0.875 bilinear
260 swin_tiny_patch4_window7_224 94.620 5.380 99.120 0.880 28.29 224 0.900 bicubic
261 poolformer_s36 94.620 5.380 99.050 0.950 30.86 224 0.900 bicubic
262 gcresnet50t 94.620 5.380 98.980 1.020 25.90 256 0.900 bicubic
263 deit_small_distilled_patch16_224 94.600 5.400 99.100 0.900 22.44 224 0.900 bicubic
264 twins_pcpvt_small 94.600 5.400 99.150 0.850 24.11 224 0.900 bicubic
266 pit_s_224 94.590 5.410 98.920 1.080 23.46 224 0.900 bicubic
267 crossvit_small_240 94.580 5.420 99.120 0.880 26.86 240 0.875 bicubic
268 efficientnet_b3_pruned 94.580 5.420 99.070 0.930 9.86 300 0.904 bicubic
269 lambda_resnet50ts tnt_s_patch16_224 94.570 94.580 5.430 5.420 98.650 99.180 1.350 0.820 21.54 23.76 256 224 0.950 0.900 bicubic
270 resnext50_32x4d 94.570 5.430 98.800 1.200 25.03 224 0.950 bicubic
271 tnt_s_patch16_224 lambda_resnet50ts 94.570 5.430 99.180 98.650 0.820 1.350 23.76 21.54 224 256 0.900 0.950 bicubic
272 repvgg_b3 94.560 5.440 98.910 1.090 123.09 224 0.875 bilinear
273 gernet_m 94.550 5.450 98.930 1.070 21.14 224 0.875 bilinear
274 resmlp_36_distilled_224 94.550 5.450 99.160 0.840 44.69 224 0.875 bicubic
sehalonet33ts 94.530 5.470 98.760 1.240 13.69 256 0.940 bicubic
275 xcit_tiny_12_p16_384_dist 94.530 5.470 99.170 0.830 6.72 384 1.000 bicubic
276 haloregnetz_b 94.520 5.480 98.970 1.030 11.68 224 0.940 bicubic
277 regnety_320 94.520 5.480 99.170 0.830 145.05 224 0.875 bicubic
278 haloregnetz_b sehalonet33ts 94.520 5.480 98.960 98.750 1.040 1.250 11.68 13.69 224 256 0.940 bicubic
279 repvgg_b3g4 94.500 5.500 99.020 0.980 83.83 224 0.875 bilinear
280 ecaresnet101d_pruned 94.450 5.550 99.100 0.900 24.88 224 0.875 bicubic
281 gluon_seresnext101_32x4d 94.450 5.550 99.090 0.910 48.96 224 0.875 bicubic
283 convmixer_768_32 94.430 5.570 99.110 0.890 21.11 224 0.960 bicubic
284 gcresnext50ts 94.410 5.590 98.990 1.010 15.67 256 0.900 bicubic
285 levit_256 94.400 5.600 99.060 0.940 18.89 224 0.900 bicubic
286 resnest50d_1s4x24d nf_resnet50 94.390 5.610 99.070 0.930 25.68 25.56 224 288 0.875 0.940 bicubic
287 vit_base_patch32_224 94.390 5.610 99.060 0.940 88.22 224 0.900 bicubic
288 resnest50d_1s4x24d 94.380 5.620 99.070 0.930 25.68 224 0.875 bicubic
289 inception_v4 94.380 5.620 98.820 1.180 42.68 299 0.875 bicubic
nf_resnet50 94.380 5.620 99.070 0.930 25.56 288 0.940 bicubic
290 efficientnet_b2 94.370 5.630 99.050 0.950 9.11 288 1.000 bicubic
291 tf_efficientnet_el 94.360 5.640 99.100 0.900 10.59 300 0.904 bicubic
292 xcit_tiny_12_p8_224 94.360 5.640 99.070 0.930 6.71 224 1.000 bicubic
293 gluon_resnext101_64x4d 94.350 5.650 98.880 1.120 83.46 224 0.875 bicubic
resmlp_24_distilled_224 94.340 5.660 99.090 0.910 30.02 224 0.875 bicubic
294 inception_resnet_v2 94.340 5.660 98.800 1.200 55.84 299 0.897 bicubic
295 sebotnet33ts_256 resmlp_24_distilled_224 94.310 94.340 5.690 5.660 98.600 99.090 1.400 0.910 13.70 30.02 256 224 0.940 0.875 bicubic
296 poolformer_s24 94.330 5.670 99.060 0.940 21.39 224 0.900 bicubic
297 ssl_resnet50 94.310 5.690 99.150 0.850 25.56 224 0.875 bilinear
298 sebotnet33ts_256 94.310 5.690 98.590 1.410 13.70 256 0.940 bicubic
299 resmlp_big_24_224 94.270 5.730 98.820 1.180 129.14 224 0.875 bicubic
300 tf_efficientnet_b2_ap 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
301 resnetv2_50 94.270 5.730 98.930 1.070 25.55 224 0.950 bicubic
rexnet_150 94.270 5.730 99.080 0.920 9.73 224 0.875 bicubic
302 seresnet33ts 94.270 5.730 98.780 1.220 19.78 256 0.900 bicubic
tf_efficientnet_b2_ap 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
303 regnetx_120 94.260 5.740 99.190 0.810 46.11 224 0.875 bicubic
304 rexnet_150 94.260 5.740 99.080 0.920 9.73 224 0.875 bicubic
305 mixnet_xl 94.230 5.770 98.820 1.180 11.90 224 0.875 bicubic
306 regnetx_320 94.220 5.780 99.050 0.950 107.81 224 0.875 bicubic
307 xcit_tiny_24_p16_224_dist 94.220 5.780 98.960 1.040 12.12 224 1.000 bicubic
308 tf_efficientnet_b2 94.210 5.790 99.030 0.970 9.11 260 0.890 bicubic
xcit_tiny_24_p16_224_dist 94.210 5.790 98.960 1.040 12.12 224 1.000 bicubic
309 ecaresnet50d 94.200 5.800 99.020 0.980 25.58 224 0.875 bicubic
310 dpn92 94.180 5.820 98.930 1.070 37.67 224 0.875 bicubic
311 resnet50_gn 94.180 5.820 98.920 1.080 25.56 224 0.940 bicubic
gluon_seresnext50_32x4d 94.170 5.830 98.910 1.090 27.56 224 0.875 bicubic
gluon_resnet101_v1s 94.170 5.830 99.010 0.990 44.67 224 0.875 bicubic
312 gluon_resnet101_v1d 94.170 5.830 98.940 1.060 44.57 224 0.875 bicubic
313 gluon_resnet101_v1s 94.170 5.830 99.010 0.990 44.67 224 0.875 bicubic
314 gluon_seresnext50_32x4d 94.170 5.830 98.910 1.090 27.56 224 0.875 bicubic
315 ecaresnetlight 94.140 5.860 98.950 1.050 30.16 224 0.875 bicubic
316 ens_adv_inception_resnet_v2 94.130 5.870 98.790 1.210 55.84 299 0.897 bicubic
317 regnety_064 tf_efficientnet_lite3 94.130 94.120 5.870 5.880 99.030 98.960 0.970 1.040 30.58 8.20 224 300 0.875 0.904 bicubic bilinear
318 gluon_resnext101_32x4d 94.120 5.880 98.940 1.060 44.18 224 0.875 bicubic
319 legacy_seresnext101_32x4d 94.120 5.880 98.970 1.030 48.96 224 0.875 bilinear
tf_efficientnet_lite3 94.120 5.880 98.960 1.040 8.20 300 0.904 bilinear
320 cspdarknet53 94.090 5.910 98.980 1.020 27.64 256 0.887 bilinear
321 efficientnet_el_pruned 94.080 94.090 5.920 5.910 99.020 0.980 10.59 300 0.904 bicubic
322 seresnet50 94.080 5.920 98.960 98.950 1.040 1.050 28.09 224 0.875 bicubic
323 resnet50d 94.070 5.930 98.920 1.080 25.58 224 0.875 bicubic
324 tf_efficientnetv2_b2 94.070 5.930 98.930 1.070 10.10 260 0.890 bicubic
325 gluon_resnet152_v1b 94.030 5.970 98.740 98.750 1.260 1.250 60.19 224 0.875 bicubic
326 hrnet_w48 94.030 5.970 99.040 0.960 77.47 224 0.875 bilinear
gluon_xception65 94.020 5.980 99.020 0.980 39.92 299 0.903 bicubic
327 resnetrs50 94.020 5.980 98.850 1.150 35.69 224 0.910 bicubic
328 regnety_120 gluon_xception65 94.010 5.990 99.030 99.020 0.970 0.980 51.82 39.92 224 299 0.875 0.903 bicubic
329 regnety_120 94.010 5.990 99.040 0.960 51.82 224 0.875 bicubic
330 dla102x2 94.000 6.000 99.030 0.970 41.28 224 0.875 bilinear
331 deit_small_patch16_224 93.990 93.980 6.010 6.020 98.960 1.040 22.05 224 0.900 bicubic
332 dpn107 93.960 6.040 98.830 1.170 86.92 224 0.875 bicubic
333 ecaresnet26t 93.950 6.050 98.920 1.080 16.01 320 0.950 bicubic
334 skresnext50_32x4d 93.950 6.050 98.830 1.170 27.48 224 0.875 bicubic
335 cait_xxs36_224 93.930 6.070 98.890 98.880 1.110 1.120 17.30 224 1.000 bicubic
resnet50 93.930 6.070 98.470 1.530 25.56 224 0.950 bicubic
336 dpn98 93.920 6.080 98.920 1.080 61.57 224 0.875 bicubic
337 resnet50 93.920 6.080 98.470 1.530 25.56 224 0.950 bicubic
338 gluon_resnet152_v1c 93.890 6.110 98.800 1.200 60.21 224 0.875 bicubic
339 regnetx_160 93.890 6.110 99.090 0.910 54.28 224 0.875 bicubic
regnety_080 93.890 6.110 99.000 1.000 39.18 224 0.875 bicubic
340 vit_base_patch16_224_sam 93.890 6.110 98.890 1.110 86.57 224 0.900 bicubic
341 xception71 93.890 6.110 98.950 1.050 42.34 299 0.903 bicubic
342 nf_regnet_b1 93.880 6.120 98.740 1.260 10.22 288 0.900 bicubic
xception71 93.880 6.120 98.950 1.050 42.34 299 0.903 bicubic
343 cspresnet50 93.860 6.140 98.860 1.140 21.62 256 0.887 bilinear
344 eca_resnet33ts 93.860 6.140 98.890 1.110 19.68 256 0.900 bicubic
xcit_tiny_24_p16_224 93.850 6.150 98.760 1.240 12.12 224 1.000 bicubic
345 ese_vovnet39b 93.850 6.150 98.900 1.100 24.57 224 0.875 bicubic
346 fbnetv3_d 93.840 6.160 98.910 1.090 10.31 256 0.950 bilinear
347 hrnet_w64 93.840 6.160 98.930 1.070 128.06 224 0.875 bilinear
348 xcit_tiny_24_p16_224 93.840 6.160 98.760 1.240 12.12 224 1.000 bicubic
349 ecaresnet50d_pruned 93.820 6.180 99.000 1.000 19.94 224 0.875 bicubic
350 gcresnet33ts 93.820 6.180 98.910 1.090 19.88 256 0.900 bicubic
351 repvgg_b2g4 93.810 6.190 98.930 1.070 61.76 224 0.875 bilinear
352 resnext50d_32x4d 93.810 6.190 98.740 1.260 25.05 224 0.875 bicubic
353 efficientnet_b2_pruned 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
354 dla169 93.800 6.200 98.840 98.830 1.160 1.170 53.39 224 0.875 bilinear
355 regnetx_080 93.790 6.210 98.900 1.100 39.57 224 0.875 bicubic
356 cspresnext50 93.780 6.220 98.840 1.160 20.57 224 0.875 bilinear
gluon_resnet101_v1b 93.770 6.230 98.690 1.310 44.55 224 0.875 bicubic
357 resnext101_32x8d 93.770 6.230 98.950 1.050 88.79 224 0.875 bilinear
358 xception65 gluon_resnet101_v1b 93.760 6.240 98.860 98.700 1.140 1.300 39.92 44.55 299 224 0.903 0.875 bicubic
359 dpn131 93.750 6.250 98.840 98.830 1.160 1.170 79.25 224 0.875 bicubic
360 efficientnet_em 93.740 6.260 98.930 1.070 6.90 240 0.882 bicubic
361 tf_efficientnet_b0_ns 93.740 6.260 98.980 1.020 5.29 224 0.875 bicubic
362 wide_resnet101_2 93.720 93.730 6.280 6.270 98.810 1.190 126.89 224 0.875 bilinear
363 hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
364 levit_192 93.710 6.290 98.800 1.200 10.95 224 0.900 bicubic
365 resnetblur50 93.710 6.290 98.810 1.190 25.56 224 0.875 bicubic
366 tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
367 tf_efficientnetv2_b1 93.710 6.290 98.820 1.180 8.14 240 0.882 bicubic
levit_192 93.710 6.290 98.800 1.200 10.95 224 0.900 bicubic
368 gluon_resnet101_v1c 93.690 6.310 98.760 1.240 44.57 224 0.875 bicubic
regnetx_040 93.680 6.320 98.940 1.060 22.12 224 0.875 bicubic
369 rexnet_130 93.680 6.320 98.710 1.290 7.56 224 0.875 bicubic
370 regnetx_040 93.670 6.330 98.940 1.060 22.12 224 0.875 bicubic
371 resmlp_36_224 93.650 6.350 98.950 1.050 44.69 224 0.875 bicubic
fbnetv3_b 93.650 6.350 98.910 1.090 8.60 256 0.950 bilinear
372 gluon_resnext50_32x4d 93.650 6.350 98.690 1.310 25.03 224 0.875 bicubic
373 xception 93.640 6.360 98.760 1.240 22.86 299 0.897 bicubic
374 fbnetv3_b 93.640 6.360 98.910 1.090 8.60 256 0.950 bilinear
375 resnet33ts 93.630 6.370 98.760 1.240 19.68 256 0.900 bicubic
376 tf_efficientnet_b1_ap 93.630 6.370 98.800 1.200 7.79 240 0.882 bicubic
377 dpn68b 93.620 6.380 98.700 1.300 12.61 224 0.875 bicubic
378 regnetx_064 93.620 6.380 99.050 0.950 26.21 224 0.875 bicubic
res2net50_26w_6s 93.610 6.390 98.740 1.260 37.05 224 0.875 bilinear
379 hrnet_w44 93.610 6.390 98.960 1.040 67.06 224 0.875 bilinear
regnety_040 93.610 6.390 98.950 1.050 20.65 224 0.875 bicubic
380 halonet26t 93.600 6.400 98.640 1.360 12.48 256 0.950 bicubic
381 res2net50_26w_6s 93.600 6.400 98.750 1.250 37.05 224 0.875 bilinear
382 gluon_resnet50_v1s 93.590 6.410 98.840 1.160 25.68 224 0.875 bicubic
383 repvgg_b2 93.590 6.410 99.070 0.930 89.02 224 0.875 bilinear
384 dla60_res2next 93.570 6.430 98.790 1.210 17.03 224 0.875 bilinear
387 eca_halonext26ts 93.560 6.440 98.680 1.320 10.76 256 0.940 bicubic
388 gluon_inception_v3 93.540 6.460 98.830 1.170 23.83 299 0.875 bicubic
389 gluon_resnet50_v1d 93.530 6.470 98.710 1.290 25.58 224 0.875 bicubic
dla102x 93.520 6.480 98.850 1.150 26.31 224 0.875 bilinear
390 res2net101_26w_4s 93.520 6.480 98.600 1.400 45.21 224 0.875 bilinear
391 coat_tiny 93.510 93.520 6.490 6.480 98.690 1.310 5.50 224 0.900 bicubic
392 dla102x 93.520 6.480 98.850 1.150 26.31 224 0.875 bilinear
393 gmlp_s16_224 93.510 6.490 98.780 1.220 19.42 224 0.875 bicubic
394 selecsls60b 93.500 6.500 98.840 1.160 32.77 224 0.875 bicubic
395 cait_xxs24_224 93.490 6.510 98.770 98.780 1.230 1.220 11.96 224 1.000 bicubic
396 xception41 93.480 6.520 98.750 1.250 26.97 299 0.903 bicubic
397 coat_lite_mini 93.460 6.540 98.780 1.220 11.01 224 0.900 bicubic
398 vit_tiny_patch16_384 93.450 6.550 98.830 1.170 5.79 384 1.000 bicubic
399 legacy_seresnet152 93.440 6.560 98.850 1.150 66.82 224 0.875 bilinear
400 resmlp_24_224 93.440 6.560 98.810 1.190 30.02 224 0.875 bicubic
401 botnet26t_256 93.430 6.570 98.660 1.340 12.49 256 0.950 bicubic
402 lambda_resnet26rpt_256 93.430 6.570 98.880 1.120 10.99 256 0.940 bicubic
403 legacy_seresnext50_32x4d 93.430 6.570 98.800 1.200 27.56 224 0.875 bilinear
vit_tiny_patch16_384 93.430 6.570 98.830 1.170 5.79 384 1.000 bicubic
404 res2net50_26w_8s 93.420 6.580 98.690 1.310 48.40 224 0.875 bilinear
405 repvgg_b1 93.410 6.590 98.790 1.210 57.42 224 0.875 bilinear
406 lambda_resnet26t 93.400 6.600 98.740 98.730 1.260 1.270 10.96 256 0.940 bicubic
407 hrnet_w30 93.390 6.610 98.830 1.170 37.71 224 0.875 bilinear
408 dla60_res2net 93.380 6.620 98.860 1.140 20.85 224 0.875 bilinear
409 eca_botnext26ts_256 93.360 93.370 6.640 6.630 98.700 1.300 10.59 256 0.950 bicubic
410 xcit_tiny_12_p16_224_dist 93.340 93.350 6.660 6.650 98.740 1.260 6.72 224 1.000 bicubic
xcit_nano_12_p8_384_dist 93.280 6.720 98.850 1.150 3.05 384 1.000 bicubic
mixnet_l 93.270 6.730 98.700 1.300 7.33 224 0.875 bicubic
411 legacy_seresnet101 93.270 6.730 98.740 1.260 49.33 224 0.875 bilinear
412 mixnet_l 93.270 6.730 98.700 1.300 7.33 224 0.875 bicubic
413 dla102 93.260 6.740 98.770 1.230 33.27 224 0.875 bilinear
414 xcit_nano_12_p8_384_dist 93.260 6.740 98.850 1.150 3.05 384 1.000 bicubic
415 regnetx_032 93.250 6.750 98.730 1.270 15.30 224 0.875 bicubic
pit_xs_distilled_224 93.240 6.760 98.830 1.170 11.00 224 0.900 bicubic
416 resnest26d 93.240 6.760 98.850 1.150 17.07 224 0.875 bilinear
417 tv_resnet152 93.240 6.760 98.750 1.250 60.19 224 0.875 bilinear
418 pit_xs_distilled_224 93.240 6.760 98.820 1.180 11.00 224 0.900 bicubic
419 tf_inception_v3 93.200 6.800 98.480 1.520 23.83 299 0.875 bicubic
420 dla60x 93.190 6.810 98.710 1.290 17.35 224 0.875 bilinear
421 res2net50_26w_4s 93.180 6.820 98.670 1.330 25.70 224 0.875 bilinear
422 tf_efficientnet_em 93.180 93.170 6.820 6.830 98.670 1.330 6.90 240 0.882 bicubic
423 mobilevit_s 93.160 6.840 98.780 1.220 5.58 256 0.900 bicubic
424 res2next50 93.140 6.860 98.650 1.350 24.67 224 0.875 bilinear
425 bat_resnext26ts 93.100 93.110 6.900 6.890 98.730 1.270 10.73 256 0.900 bicubic
426 tf_efficientnetv2_b0 93.060 6.940 98.700 1.300 7.14 224 0.875 bicubic
levit_128 93.040 6.960 98.680 1.320 9.21 224 0.900 bicubic
427 tf_mixnet_l 93.040 6.960 98.540 1.460 7.33 224 0.875 bicubic
428 levit_128 93.040 6.960 98.680 1.320 9.21 224 0.900 bicubic
429 efficientnet_b1 93.030 6.970 98.710 1.290 7.79 256 1.000 bicubic
430 repvgg_b1g4 93.030 6.970 98.820 1.180 39.97 224 0.875 bilinear
431 res2net50_14w_8s 93.030 6.970 98.700 1.300 25.06 224 0.875 bilinear
efficientnet_b1 93.030 6.970 98.710 1.290 7.79 256 1.000 bicubic
selecsls60 93.010 6.990 98.830 1.170 30.67 224 0.875 bicubic
432 adv_inception_v3 93.010 6.990 98.490 1.510 23.83 299 0.875 bicubic
433 regnety_016 93.000 7.000 98.680 1.320 11.20 224 0.875 bicubic
434 selecsls60 93.000 7.000 98.830 1.170 30.67 224 0.875 bicubic
435 hardcorenas_f 92.980 7.020 98.620 1.380 8.20 224 0.875 bilinear
436 efficientnet_b1_pruned 92.970 7.030 98.520 1.480 6.33 240 0.882 bicubic
hardcorenas_e 92.950 7.050 98.570 1.430 8.07 224 0.875 bilinear
437 hrnet_w32 92.950 7.050 98.840 1.160 41.23 224 0.875 bilinear
438 gluon_resnet50_v1c hardcorenas_e 92.920 92.940 7.080 7.060 98.710 98.570 1.290 1.430 25.58 8.07 224 0.875 bicubic bilinear
439 efficientnet_es 92.920 7.080 98.690 1.310 5.44 224 0.875 bicubic
440 pit_xs_224 gluon_resnet50_v1c 92.910 92.920 7.090 7.080 98.770 98.700 1.230 1.300 10.62 25.58 224 0.900 0.875 bicubic
441 pit_xs_224 92.910 7.090 98.780 1.220 10.62 224 0.900 bicubic
442 tv_resnext50_32x4d 92.910 7.090 98.720 1.280 25.03 224 0.875 bilinear
443 inception_v3 92.900 7.100 98.330 1.670 23.83 299 0.875 bicubic
444 densenet161 92.890 7.110 98.810 1.190 28.68 224 0.875 bicubic
445 tv_resnet101 92.880 7.120 98.660 1.340 44.55 224 0.875 bilinear
446 resmlp_12_distilled_224 92.870 7.130 98.620 1.380 15.35 224 0.875 bicubic
447 tf_efficientnet_cc_b0_8e 92.870 7.130 98.460 1.540 24.01 224 0.875 bicubic
448 coat_lite_tiny 92.860 7.140 98.630 98.640 1.370 1.360 5.72 224 0.900 bicubic
449 rexnet_100 92.840 7.160 98.620 1.380 4.80 224 0.875 bicubic
450 tf_efficientnet_cc_b0_4e 92.840 7.160 98.440 1.560 13.31 224 0.875 bicubic
451 seresnext26t_32x4d seresnext26ts 92.820 7.180 98.560 98.600 1.440 1.400 16.81 10.39 224 256 0.875 0.900 bicubic
452 seresnext26ts seresnext26t_32x4d 92.810 7.190 98.600 98.560 1.400 1.440 10.39 16.81 256 224 0.900 0.875 bicubic
res2net50_48w_2s 92.790 7.210 98.480 1.520 25.29 224 0.875 bilinear
453 tinynet_a 92.790 7.210 98.560 1.440 6.19 192 0.875 bicubic
454 crossvit_9_dagger_240 res2net50_48w_2s 92.750 92.790 7.250 7.210 98.510 98.480 1.490 1.520 8.78 25.29 240 224 0.875 bicubic bilinear
455 crossvit_9_dagger_240 92.760 7.240 98.510 1.490 8.78 240 0.875 bicubic
456 hrnet_w18 92.750 7.250 98.660 1.340 21.30 224 0.875 bilinear
457 densenet201 92.690 7.310 98.650 1.350 20.01 224 0.875 bicubic
458 gmixer_24_224 92.680 7.320 98.280 1.720 24.72 224 0.875 bicubic
469 skresnet34 92.570 7.430 98.520 1.480 22.28 224 0.875 bicubic
470 gluon_resnet50_v1b 92.560 7.440 98.550 1.450 25.56 224 0.875 bicubic
471 regnetx_016 92.540 7.460 98.550 1.450 9.19 224 0.875 bicubic
efficientnet_b0 92.480 7.520 98.680 1.320 5.29 224 0.875 bicubic
472 selecsls42b 92.480 7.520 98.440 1.560 32.46 224 0.875 bicubic
473 efficientnet_b0 92.480 7.520 98.680 1.320 5.29 224 0.875 bicubic
474 gcresnext26ts 92.470 7.530 98.490 1.510 10.48 256 0.900 bicubic
475 poolformer_s12 92.470 7.530 98.350 1.650 11.92 224 0.900 bicubic
476 xcit_tiny_12_p16_224 92.460 7.540 98.630 1.370 6.72 224 1.000 bicubic
477 gernet_s 92.440 7.560 98.500 1.500 8.17 224 0.875 bilinear
478 seresnext26d_32x4d 92.430 7.570 98.540 1.460 16.81 224 0.875 bicubic
479 xcit_nano_12_p8_224_dist 92.420 92.430 7.580 7.570 98.530 98.520 1.470 1.480 3.05 224 1.000 bicubic
480 eca_resnext26ts 92.410 7.590 98.620 1.380 10.30 256 0.900 bicubic
densenetblur121d 92.400 7.600 98.410 1.590 8.00 224 0.875 bicubic
481 tf_efficientnet_b0 92.400 7.600 98.470 1.530 5.29 224 0.875 bicubic
482 densenetblur121d 92.400 7.600 98.410 1.590 8.00 224 0.875 bicubic
483 convmixer_1024_20_ks9_p14 92.350 7.650 98.420 1.580 24.38 224 0.960 bicubic
484 hardcorenas_c 92.330 7.670 98.350 98.340 1.650 1.660 5.52 224 0.875 bilinear
485 tf_efficientnet_lite1 92.310 7.690 98.490 1.510 5.42 240 0.882 bicubic
486 densenet169 92.290 92.280 7.710 7.720 98.590 1.410 14.15 224 0.875 bicubic
487 mixnet_m 92.270 7.730 98.350 1.650 5.01 224 0.875 bicubic
488 dpn68 92.260 7.740 98.610 1.390 12.61 224 0.875 bicubic
489 mobilenetv3_large_100_miil 92.250 7.750 98.250 1.750 5.48 224 0.875 bilinear
490 resnet26d 92.250 7.750 98.450 1.550 16.01 224 0.875 bicubic
491 resnext26ts 92.220 7.780 98.250 1.750 10.30 256 0.900 bicubic
492 tf_mixnet_m 92.200 7.800 98.420 1.580 5.01 224 0.875 bicubic
493 vit_small_patch32_224 92.160 92.150 7.840 7.850 98.510 1.490 22.88 224 0.900 bicubic
494 tv_resnet50 92.140 7.860 98.420 1.580 25.56 224 0.875 bilinear
495 resmlp_12_224 92.120 7.880 98.570 1.430 15.35 224 0.875 bicubic
496 tv_resnet50 tf_efficientnet_es 92.120 92.110 7.880 7.890 98.420 98.430 1.580 1.570 25.56 5.44 224 0.875 bilinear bicubic
497 xcit_nano_12_p16_384_dist 92.110 7.890 98.520 1.480 3.05 384 1.000 bicubic
498 tf_efficientnet_es mobilenetv2_140 92.100 92.040 7.900 7.960 98.430 98.250 1.570 1.750 5.44 6.11 224 0.875 bicubic
mobilenetv2_140 92.050 7.950 98.250 1.750 6.11 224 0.875 bicubic
499 ese_vovnet19b_dw 92.010 7.990 98.510 1.490 6.54 224 0.875 bicubic
500 hardcorenas_b 91.940 8.060 98.400 1.600 5.18 224 0.875 bilinear
501 densenet121 91.940 8.060 98.280 1.720 7.98 224 0.875 bicubic
hardcorenas_b 91.930 8.070 98.400 1.600 5.18 224 0.875 bilinear
502 regnety_008 91.910 8.090 98.420 1.580 6.26 224 0.875 bicubic
503 vit_tiny_patch16_224 91.910 8.090 98.340 1.660 5.72 224 0.900 bicubic
504 mixnet_s 91.780 8.220 98.300 1.700 4.13 224 0.875 bicubic
505 vit_tiny_r_s16_p8_384 91.730 8.270 98.430 1.570 6.36 384 1.000 bicubic
506 efficientnet_es_pruned 91.710 91.700 8.290 8.300 98.410 1.590 5.44 224 0.875 bicubic
507 repvgg_b0 91.680 8.320 98.450 1.550 15.82 224 0.875 bilinear
508 tf_mixnet_s 91.680 8.320 98.240 1.760 4.13 224 0.875 bicubic
509 semnasnet_100 91.660 8.340 98.270 1.730 3.89 224 0.875 bicubic
513 levit_128s 91.500 8.500 98.400 1.600 7.78 224 0.900 bicubic
514 legacy_seresnet34 91.480 8.520 98.200 1.800 21.96 224 0.875 bilinear
515 mobilenetv3_large_100 91.480 8.520 98.320 1.680 5.48 224 0.875 bicubic
516 resnet26 91.450 91.440 8.550 8.560 98.270 98.260 1.730 1.740 16.00 224 0.875 bicubic
517 tf_mobilenetv3_large_100 91.420 8.580 98.260 1.740 5.48 224 0.875 bilinear
518 tv_densenet121 91.410 8.590 98.250 1.750 7.98 224 0.875 bicubic
519 mobilenetv2_110d 91.350 91.340 8.650 8.660 98.190 98.180 1.810 1.820 4.52 224 0.875 bicubic
520 tf_efficientnet_lite0 91.300 8.700 98.090 1.910 4.65 224 0.875 bicubic
521 fbnetc_100 91.260 8.740 97.830 2.170 5.57 224 0.875 bilinear
522 efficientnet_lite0 91.250 91.260 8.750 8.740 98.250 1.750 4.65 224 0.875 bicubic
523 dla34 91.230 8.770 98.180 1.820 15.74 224 0.875 bilinear
524 mnasnet_100 91.200 8.800 98.050 1.950 4.38 224 0.875 bicubic
525 resnet34 91.200 8.800 98.240 1.760 21.80 224 0.875 bilinear
526 mobilevit_xs 91.180 8.820 98.220 1.780 2.32 256 0.900 bicubic
527 hrnet_w18_small_v2 91.170 8.830 98.340 1.660 15.60 224 0.875 bilinear
528 regnetx_008 91.160 8.840 98.380 1.620 7.26 224 0.875 bicubic
529 xcit_nano_12_p8_224 91.140 8.860 98.230 1.770 3.05 224 1.000 bicubic
530 mixer_b16_224 91.140 8.860 97.400 2.600 59.88 224 0.875 bicubic
531 resnest14d 91.130 8.870 98.330 1.670 10.61 224 0.875 bilinear
532 tinynet_b 91.130 8.870 98.070 1.930 3.73 188 0.875 bicubic
resnest14d 91.120 8.880 98.330 1.670 10.61 224 0.875 bilinear
xcit_nano_12_p8_224 91.120 8.880 98.240 1.760 3.05 224 1.000 bicubic
533 deit_tiny_distilled_patch16_224 91.110 8.890 98.270 1.730 5.91 224 0.900 bicubic
534 gluon_resnet34_v1b 91.100 8.900 98.180 1.820 21.80 224 0.875 bicubic
535 swsl_resnet18 91.080 8.920 98.210 1.790 11.69 224 0.875 bilinear
539 regnetx_006 90.770 9.230 98.100 1.900 6.20 224 0.875 bicubic
540 regnety_004 90.770 9.230 98.080 1.920 4.34 224 0.875 bicubic
541 ssl_resnet18 90.700 9.300 98.030 1.970 11.69 224 0.875 bilinear
542 spnasnet_100 90.600 90.610 9.400 9.390 97.950 2.050 4.42 224 0.875 bilinear
543 convit_tiny 90.550 9.450 98.220 98.210 1.780 1.790 5.71 224 0.875 bicubic
544 crossvit_tiny_240 90.540 9.460 97.950 97.940 2.050 2.060 7.01 240 0.875 bicubic
545 vgg16_bn 90.540 9.460 97.990 2.010 138.37 224 0.875 bilinear
546 ghostnet_100 90.440 9.560 97.830 2.170 5.18 224 0.875 bilinear
547 pit_ti_224 90.440 90.430 9.560 9.570 98.010 98.000 1.990 2.000 4.85 224 0.900 bicubic
548 tf_mobilenetv3_large_075 90.320 9.680 97.870 2.130 3.99 224 0.875 bilinear
549 tv_resnet34 90.290 9.710 97.980 2.020 21.80 224 0.875 bilinear
550 semnasnet_075 90.200 90.210 9.800 9.790 97.970 2.030 2.91 224 0.875 bicubic
551 skresnet18 90.170 9.830 97.780 2.220 11.96 224 0.875 bicubic
552 xcit_nano_12_p16_224_dist 90.170 90.160 9.830 9.840 97.760 2.240 3.05 224 1.000 bicubic
553 resnet18d 89.990 10.010 97.830 2.170 11.71 224 0.875 bicubic
554 hrnet_w18_small 89.880 10.120 97.900 97.890 2.100 2.110 13.19 224 0.875 bilinear
555 vit_base_patch32_224_sam 89.860 10.140 97.600 2.400 88.22 224 0.900 bicubic
556 mobilenetv2_100 89.830 10.170 97.830 2.170 3.50 224 0.875 bicubic
557 vgg19 89.680 10.320 97.550 2.450 143.67 224 0.875 bilinear
558 deit_tiny_patch16_224 89.620 10.380 97.960 2.040 5.72 224 0.900 bicubic
559 regnetx_004 89.470 10.530 97.770 2.230 5.16 224 0.875 bicubic
560 vgg16 89.360 10.640 97.520 2.480 138.36 224 0.875 bilinear
561 vit_tiny_r_s16_p8_224 89.350 89.340 10.650 10.660 97.700 2.300 6.34 224 0.900 bicubic
562 legacy_seresnet18 89.260 10.740 97.680 2.320 11.78 224 0.875 bicubic
563 vgg13_bn 89.200 10.800 97.520 2.480 133.05 224 0.875 bilinear
564 tf_mobilenetv3_large_minimal_100 89.170 10.830 97.320 2.680 3.92 224 0.875 bilinear
565 xcit_nano_12_p16_224 lcnet_100 88.970 88.960 11.030 11.040 97.390 97.380 2.610 2.620 3.05 2.95 224 1.000 0.875 bicubic
566 lcnet_100 xcit_nano_12_p16_224 88.950 11.050 97.380 97.390 2.620 2.610 2.95 3.05 224 0.875 1.000 bicubic
567 gluon_resnet18_v1b 88.660 11.340 97.100 2.900 11.69 224 0.875 bicubic
568 tinynet_c 88.420 11.580 97.260 2.740 2.46 184 0.875 bicubic
569 vgg11_bn 88.390 11.610 97.270 2.730 132.87 224 0.875 bilinear
570 regnety_002 88.190 11.810 97.420 2.580 3.16 224 0.875 bicubic
571 resnet18 88.150 11.850 97.120 2.880 11.69 224 0.875 bilinear
572 mobilevit_xxs 87.950 12.050 97.180 2.820 1.27 256 0.900 bicubic
573 vgg13 87.570 12.430 97.120 2.880 133.05 224 0.875 bilinear
574 regnetx_002 87.380 12.620 96.990 3.010 2.68 224 0.875 bicubic
575 vgg11 87.340 12.660 97.110 2.890 132.86 224 0.875 bilinear
576 dla60x_c 87.110 12.890 97.140 2.860 1.32 224 0.875 bilinear
577 mixer_l16_224 86.970 13.030 94.040 5.960 208.20 224 0.875 bicubic
578 lcnet_075 86.940 13.060 96.530 3.470 2.36 224 0.875 bicubic
579 mobilenetv3_small_100 86.170 13.830 96.460 3.540 2.54 224 0.875 bicubic
580 tf_mobilenetv3_small_100 85.970 14.030 96.410 3.590 2.54 224 0.875 bilinear
581 mnasnet_small 85.510 14.490 95.980 4.020 2.03 224 0.875 bicubic
582 dla46x_c 85.480 14.520 96.440 3.560 1.07 224 0.875 bilinear
583 tinynet_d 85.430 14.570 96.020 3.980 2.34 152 0.875 bicubic
584 mobilenetv2_050 84.990 15.010 95.620 4.380 1.97 224 0.875 bicubic
mnasnet_small 84.920 15.080 95.930 4.070 2.03 224 0.875 bicubic
585 dla46_c 84.670 15.330 96.200 3.800 1.30 224 0.875 bilinear
586 tf_mobilenetv3_small_075 84.530 15.470 95.890 4.110 2.04 224 0.875 bilinear
587 mobilenetv3_small_075 84.120 15.880 95.500 4.500 2.04 224 0.875 bicubic
588 lcnet_050 83.000 17.000 95.020 4.980 1.88 224 0.875 bicubic
589 tf_mobilenetv3_small_minimal_100 82.680 17.320 95.010 4.990 2.04 224 0.875 bilinear
590 tinynet_e 79.800 20.200 93.980 6.020 2.04 106 0.875 bicubic
591 mobilenetv3_small_050 78.100 21.900 93.010 6.990 1.59 224 0.875 bicubic

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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
beit_large_patch16_512,88.602,11.398,98.656,1.344,305.67,512,1.000,bicubic
beit_large_patch16_512,88.600,11.400,98.656,1.344,305.67,512,1.000,bicubic
beit_large_patch16_384,88.404,11.596,98.608,1.392,305.00,384,1.000,bicubic
tf_efficientnet_l2_ns,88.348,11.652,98.648,1.352,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,88.232,11.768,98.546,1.454,480.31,475,0.936,bicubic
convnext_xlarge_384_in22ft1k,87.544,12.456,98.490,1.510,350.20,384,1.000,bicubic
beit_large_patch16_224,87.478,12.522,98.306,1.694,304.43,224,0.900,bicubic
convnext_large_384_in22ft1k,87.398,12.602,98.366,1.634,197.77,384,1.000,bicubic
swin_large_patch4_window12_384,87.148,12.852,98.240,1.760,196.74,384,1.000,bicubic
vit_large_patch16_384,87.080,12.920,98.302,1.698,304.72,384,1.000,bicubic
convnext_xlarge_in22ft1k,87.008,12.992,98.208,1.792,350.20,224,0.875,bicubic
tf_efficientnet_b7_ns,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic
convnext_xlarge_384_in22ft1k,87.546,12.454,98.486,1.514,350.20,384,1.000,bicubic
beit_large_patch16_224,87.474,12.526,98.304,1.696,304.43,224,0.900,bicubic
convnext_large_384_in22ft1k,87.396,12.604,98.368,1.632,197.77,384,1.000,bicubic
swin_large_patch4_window12_384,87.150,12.850,98.240,1.760,196.74,384,1.000,bicubic
vit_large_patch16_384,87.080,12.920,98.300,1.700,304.72,384,1.000,bicubic
volo_d5_512,87.042,12.958,97.968,2.032,296.09,512,1.150,bicubic
convnext_xlarge_in22ft1k,87.002,12.998,98.212,1.788,350.20,224,0.875,bicubic
volo_d5_448,86.952,13.048,97.940,2.060,295.91,448,1.150,bicubic
tf_efficientnet_b7_ns,86.838,13.162,98.096,1.904,66.35,600,0.949,bicubic
beit_base_patch16_384,86.798,13.202,98.136,1.864,86.74,384,1.000,bicubic
convnext_large_in22ft1k,86.626,13.374,98.032,1.968,197.77,224,0.875,bicubic
convnext_base_384_in22ft1k,86.566,13.434,98.198,1.802,88.59,384,1.000,bicubic
cait_m48_448,86.484,13.516,97.752,2.248,356.46,448,1.000,bicubic
tf_efficientnet_b6_ns,86.450,13.550,97.882,2.118,43.04,528,0.942,bicubic
volo_d4_448,86.790,13.210,97.882,2.118,193.41,448,1.150,bicubic
convnext_large_in22ft1k,86.636,13.364,98.028,1.972,197.77,224,0.875,bicubic
convnext_base_384_in22ft1k,86.544,13.456,98.190,1.810,88.59,384,1.000,bicubic
volo_d3_448,86.496,13.504,97.710,2.290,86.63,448,1.000,bicubic
cait_m48_448,86.486,13.514,97.752,2.248,356.46,448,1.000,bicubic
tf_efficientnet_b6_ns,86.454,13.546,97.882,2.118,43.04,528,0.942,bicubic
swin_base_patch4_window12_384,86.432,13.568,98.056,1.944,87.90,384,1.000,bicubic
tf_efficientnetv2_xl_in21ft1k,86.418,13.582,97.866,2.134,208.12,512,1.000,bicubic
swin_large_patch4_window7_224,86.318,13.682,97.892,2.108,196.53,224,0.900,bicubic
swin_large_patch4_window7_224,86.314,13.686,97.892,2.108,196.53,224,0.900,bicubic
tf_efficientnetv2_l_in21ft1k,86.304,13.696,97.978,2.022,118.52,480,1.000,bicubic
vit_large_r50_s32_384,86.182,13.818,97.918,2.082,329.09,384,1.000,bicubic
dm_nfnet_f6,86.144,13.856,97.730,2.270,438.36,576,0.956,bicubic
vit_large_r50_s32_384,86.182,13.818,97.920,2.080,329.09,384,1.000,bicubic
dm_nfnet_f6,86.142,13.858,97.730,2.270,438.36,576,0.956,bicubic
tf_efficientnet_b5_ns,86.090,13.910,97.750,2.250,30.39,456,0.934,bicubic
volo_d5_224,86.072,13.928,97.578,2.422,295.46,224,0.960,bicubic
cait_m36_384,86.052,13.948,97.730,2.270,271.22,384,1.000,bicubic
vit_base_patch16_384,86.006,13.994,98.002,1.998,86.86,384,1.000,bicubic
xcit_large_24_p8_384_dist,86.000,14.000,97.684,2.316,188.93,384,1.000,bicubic
vit_large_patch16_224,85.844,14.156,97.824,2.176,304.33,224,0.900,bicubic
dm_nfnet_f5,85.814,14.186,97.486,2.514,377.21,544,0.954,bicubic
volo_d2_384,86.040,13.960,97.572,2.428,58.87,384,1.000,bicubic
vit_base_patch16_384,86.010,13.990,98.002,1.998,86.86,384,1.000,bicubic
xcit_large_24_p8_384_dist,85.998,14.002,97.684,2.316,188.93,384,1.000,bicubic
volo_d4_224,85.874,14.126,97.468,2.532,192.96,224,0.960,bicubic
vit_large_patch16_224,85.838,14.162,97.820,2.180,304.33,224,0.900,bicubic
convnext_base_in22ft1k,85.824,14.176,97.866,2.134,88.59,224,0.875,bicubic
dm_nfnet_f5,85.816,14.184,97.486,2.514,377.21,544,0.954,bicubic
xcit_medium_24_p8_384_dist,85.814,14.186,97.592,2.408,84.32,384,1.000,bicubic
convnext_base_in22ft1k,85.796,14.204,97.866,2.134,88.59,224,0.875,bicubic
vit_base_patch8_224,85.792,14.208,97.792,2.208,86.58,224,0.900,bicubic
xcit_large_24_p16_384_dist,85.756,14.244,97.538,2.462,189.10,384,1.000,bicubic
vit_base_patch8_224,85.794,14.206,97.794,2.206,86.58,224,0.900,bicubic
xcit_large_24_p16_384_dist,85.754,14.246,97.538,2.462,189.10,384,1.000,bicubic
dm_nfnet_f4,85.714,14.286,97.522,2.478,316.07,512,0.951,bicubic
tf_efficientnetv2_m_in21ft1k,85.592,14.408,97.746,2.254,54.14,480,1.000,bicubic
xcit_small_24_p8_384_dist,85.552,14.448,97.572,2.428,47.63,384,1.000,bicubic
dm_nfnet_f3,85.524,14.476,97.462,2.538,254.92,416,0.940,bicubic
tf_efficientnetv2_m_in21ft1k,85.590,14.410,97.744,2.256,54.14,480,1.000,bicubic
xcit_small_24_p8_384_dist,85.556,14.444,97.572,2.428,47.63,384,1.000,bicubic
dm_nfnet_f3,85.522,14.478,97.462,2.538,254.92,416,0.940,bicubic
tf_efficientnetv2_l,85.490,14.510,97.372,2.628,118.52,480,1.000,bicubic
cait_s36_384,85.462,14.538,97.480,2.520,68.37,384,1.000,bicubic
ig_resnext101_32x48d,85.436,14.564,97.576,2.424,828.41,224,0.875,bilinear
xcit_medium_24_p16_384_dist,85.422,14.578,97.406,2.594,84.40,384,1.000,bicubic
deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
xcit_medium_24_p16_384_dist,85.420,14.580,97.406,2.594,84.40,384,1.000,bicubic
volo_d3_224,85.412,14.588,97.280,2.720,86.33,224,0.960,bicubic
xcit_large_24_p8_224_dist,85.398,14.602,97.410,2.590,188.93,224,1.000,bicubic
tf_efficientnet_b8_ap,85.370,14.630,97.292,2.708,87.41,672,0.954,bicubic
tf_efficientnet_b8,85.366,14.634,97.392,2.608,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,85.250,14.750,97.560,2.440,87.77,224,0.900,bicubic
beit_base_patch16_224,85.228,14.772,97.656,2.344,86.53,224,0.900,bicubic
tf_efficientnet_b8_ap,85.372,14.628,97.292,2.708,87.41,672,0.954,bicubic
tf_efficientnet_b8,85.368,14.632,97.390,2.610,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,85.248,14.752,97.562,2.438,87.77,224,0.900,bicubic
volo_d1_384,85.248,14.752,97.214,2.786,26.78,384,1.000,bicubic
beit_base_patch16_224,85.228,14.772,97.658,2.342,86.53,224,0.900,bicubic
volo_d2_224,85.194,14.806,97.188,2.812,58.68,224,0.960,bicubic
tf_efficientnet_b4_ns,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic
tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
ig_resnext101_32x32d,85.102,14.898,97.434,2.566,468.53,224,0.875,bilinear
ig_resnext101_32x32d,85.100,14.900,97.434,2.566,468.53,224,0.875,bilinear
xcit_small_24_p16_384_dist,85.094,14.906,97.310,2.690,47.67,384,1.000,bicubic
xcit_small_12_p8_384_dist,85.082,14.918,97.280,2.720,26.21,384,1.000,bicubic
xcit_medium_24_p8_224_dist,85.068,14.932,97.278,2.722,84.32,224,1.000,bicubic
dm_nfnet_f2,85.064,14.936,97.240,2.760,193.78,352,0.920,bicubic
cait_s24_384,85.048,14.952,97.348,2.652,47.06,384,1.000,bicubic
tf_efficientnetv2_m,85.036,14.964,97.278,2.722,54.14,480,1.000,bicubic
xcit_small_12_p8_384_dist,85.080,14.920,97.280,2.720,26.21,384,1.000,bicubic
xcit_medium_24_p8_224_dist,85.072,14.928,97.280,2.720,84.32,224,1.000,bicubic
dm_nfnet_f2,85.062,14.938,97.240,2.760,193.78,352,0.920,bicubic
cait_s24_384,85.046,14.954,97.346,2.654,47.06,384,1.000,bicubic
tf_efficientnetv2_m,85.038,14.962,97.278,2.722,54.14,480,1.000,bicubic
regnetz_e8,85.030,14.970,97.264,2.736,57.70,320,1.000,bicubic
resnetrs420,85.010,14.990,97.124,2.876,191.89,416,1.000,bicubic
ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic
vit_base_r50_s16_384,84.972,15.028,97.290,2.710,98.95,384,1.000,bicubic
tf_efficientnet_b7,84.934,15.066,97.206,2.794,66.35,600,0.949,bicubic
xcit_large_24_p16_224_dist,84.918,15.082,97.132,2.868,189.10,224,1.000,bicubic
vit_base_r50_s16_384,84.970,15.030,97.290,2.710,98.95,384,1.000,bicubic
tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
xcit_large_24_p16_224_dist,84.922,15.078,97.132,2.868,189.10,224,1.000,bicubic
resnetv2_152x4_bitm,84.916,15.084,97.442,2.558,936.53,480,1.000,bilinear
xcit_small_24_p8_224_dist,84.874,15.126,97.188,2.812,47.63,224,1.000,bicubic
efficientnetv2_rw_m,84.810,15.190,97.146,2.854,53.24,416,1.000,bicubic
tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
resnetrs350,84.720,15.280,96.988,3.012,163.96,384,1.000,bicubic
xcit_small_12_p16_384_dist,84.706,15.294,97.118,2.882,26.25,384,1.000,bicubic
xcit_small_24_p8_224_dist,84.876,15.124,97.188,2.812,47.63,224,1.000,bicubic
efficientnetv2_rw_m,84.812,15.188,97.146,2.854,53.24,416,1.000,bicubic
tf_efficientnet_b6_ap,84.786,15.214,97.138,2.862,43.04,528,0.942,bicubic
resnetrs350,84.718,15.282,96.988,3.012,163.96,384,1.000,bicubic
xcit_small_12_p16_384_dist,84.710,15.290,97.118,2.882,26.25,384,1.000,bicubic
eca_nfnet_l2,84.696,15.304,97.264,2.736,56.72,384,1.000,bicubic
dm_nfnet_f1,84.624,15.376,97.098,2.902,132.63,320,0.910,bicubic
vit_base_patch16_224,84.526,15.474,97.298,2.702,86.57,224,0.900,bicubic
resnest269e,84.516,15.484,96.986,3.014,110.93,416,0.928,bicubic
resnetv2_152x2_bitm,84.508,15.492,97.434,2.566,236.34,448,1.000,bilinear
dm_nfnet_f1,84.624,15.376,97.100,2.900,132.63,320,0.910,bicubic
vit_base_patch16_224,84.528,15.472,97.294,2.706,86.57,224,0.900,bicubic
resnest269e,84.520,15.480,96.986,3.014,110.93,416,0.928,bicubic
resnetv2_152x2_bitm,84.506,15.494,97.434,2.566,236.34,448,1.000,bilinear
regnetz_040h,84.496,15.504,97.006,2.994,28.94,320,1.000,bicubic
resnetv2_101x3_bitm,84.442,15.558,97.382,2.618,387.93,448,1.000,bilinear
resnetrs270,84.434,15.566,96.972,3.028,129.86,352,1.000,bicubic
vit_large_r50_s32_224,84.430,15.570,97.166,2.834,328.99,224,0.900,bicubic
resnetrs200,84.438,15.562,97.080,2.920,93.21,320,1.000,bicubic
resnetrs270,84.436,15.564,96.970,3.030,129.86,352,1.000,bicubic
vit_large_r50_s32_224,84.424,15.576,97.166,2.834,328.99,224,0.900,bicubic
resmlp_big_24_224_in22ft1k,84.394,15.606,97.120,2.880,129.14,224,0.875,bicubic
xcit_large_24_p8_224,84.392,15.608,96.658,3.342,188.93,224,1.000,bicubic
seresnet152d,84.358,15.642,97.042,2.958,66.84,320,1.000,bicubic
xcit_large_24_p8_224,84.394,15.606,96.656,3.344,188.93,224,1.000,bicubic
seresnet152d,84.360,15.640,97.040,2.960,66.84,320,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,84.298,15.702,97.254,2.746,21.46,384,1.000,bicubic
convnext_large,84.296,15.704,96.894,3.106,197.77,224,0.875,bicubic
convnext_large,84.292,15.708,96.894,3.106,197.77,224,0.875,bicubic
swsl_resnext101_32x8d,84.290,15.710,97.180,2.820,88.79,224,0.875,bilinear
xcit_medium_24_p16_224_dist,84.280,15.720,96.940,3.060,84.40,224,1.000,bicubic
vit_base_patch16_224_miil,84.270,15.730,96.802,3.198,86.54,224,0.875,bilinear
tf_efficientnet_b5_ap,84.256,15.744,96.978,3.022,30.39,456,0.934,bicubic
xcit_small_12_p8_224_dist,84.232,15.768,96.872,3.128,26.21,224,1.000,bicubic
crossvit_18_dagger_408,84.192,15.808,96.818,3.182,44.61,408,1.000,bicubic
ig_resnext101_32x16d,84.172,15.828,97.198,2.802,194.03,224,0.875,bilinear
pit_b_distilled_224,84.142,15.858,96.856,3.144,74.79,224,0.900,bicubic
tf_efficientnet_b6,84.108,15.892,96.886,3.114,43.04,528,0.942,bicubic
resnetrs200,84.066,15.934,96.874,3.126,93.21,320,1.000,bicubic
cait_xs24_384,84.062,15.938,96.888,3.112,26.67,384,1.000,bicubic
xcit_medium_24_p16_224_dist,84.274,15.726,96.940,3.060,84.40,224,1.000,bicubic
vit_base_patch16_224_miil,84.272,15.728,96.802,3.198,86.54,224,0.875,bilinear
tf_efficientnet_b5_ap,84.256,15.744,96.976,3.024,30.39,456,0.934,bicubic
xcit_small_12_p8_224_dist,84.236,15.764,96.874,3.126,26.21,224,1.000,bicubic
regnetz_040,84.234,15.766,96.932,3.068,27.12,320,1.000,bicubic
seresnext101_32x8d,84.204,15.796,96.876,3.124,93.57,288,1.000,bicubic
crossvit_18_dagger_408,84.194,15.806,96.818,3.182,44.61,408,1.000,bicubic
ig_resnext101_32x16d,84.170,15.830,97.198,2.802,194.03,224,0.875,bilinear
volo_d1_224,84.162,15.838,96.776,3.224,26.63,224,0.960,bicubic
pit_b_distilled_224,84.140,15.860,96.856,3.144,74.79,224,0.900,bicubic
tf_efficientnet_b6,84.110,15.890,96.888,3.112,43.04,528,0.942,bicubic
cait_xs24_384,84.062,15.938,96.890,3.110,26.67,384,1.000,bicubic
regnetz_d8_evos,84.054,15.946,96.996,3.004,23.46,320,0.950,bicubic
regnetz_d8,84.052,15.948,96.994,3.006,23.37,320,1.000,bicubic
tf_efficientnet_b3_ns,84.048,15.952,96.908,3.092,12.23,300,0.904,bicubic
vit_small_r26_s32_384,84.046,15.954,97.330,2.670,36.47,384,1.000,bicubic
vit_small_r26_s32_384,84.042,15.958,97.328,2.672,36.47,384,1.000,bicubic
regnetz_d32,84.022,15.978,96.866,3.134,27.58,320,0.950,bicubic
resnetv2_50x3_bitm,84.014,15.986,97.124,2.876,217.32,448,1.000,bilinear
eca_nfnet_l1,84.012,15.988,97.028,2.972,41.41,320,1.000,bicubic
resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic
resnet200d,83.964,16.036,96.824,3.176,64.69,320,1.000,bicubic
swin_s3_base_224,83.932,16.068,96.660,3.340,71.13,224,0.900,bicubic
regnety_080,83.926,16.074,96.888,3.112,39.18,288,1.000,bicubic
tf_efficientnetv2_s,83.886,16.114,96.696,3.304,21.46,384,1.000,bicubic
xcit_small_24_p16_224_dist,83.862,16.138,96.724,3.276,47.67,224,1.000,bicubic
xcit_small_24_p16_224_dist,83.868,16.132,96.724,3.276,47.67,224,1.000,bicubic
resnetv2_152x2_bit_teacher_384,83.844,16.156,97.118,2.882,236.34,384,1.000,bicubic
xcit_small_24_p8_224,83.842,16.158,96.636,3.364,47.63,224,1.000,bicubic
crossvit_15_dagger_408,83.832,16.168,96.784,3.216,28.50,408,1.000,bicubic
resnest200e,83.830,16.170,96.894,3.106,70.20,320,0.909,bicubic
convnext_base,83.816,16.184,96.768,3.232,88.59,224,0.875,bicubic
convnext_base,83.838,16.162,96.750,3.250,88.59,224,0.875,bicubic
xcit_small_24_p8_224,83.838,16.162,96.636,3.364,47.63,224,1.000,bicubic
crossvit_15_dagger_408,83.836,16.164,96.784,3.216,28.50,408,1.000,bicubic
resnest200e,83.828,16.172,96.892,3.108,70.20,320,0.909,bicubic
tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
efficientnetv2_rw_s,83.810,16.190,96.722,3.278,23.94,384,1.000,bicubic
vit_small_patch16_384,83.806,16.194,97.100,2.900,22.20,384,1.000,bicubic
xcit_tiny_24_p8_384_dist,83.748,16.252,96.710,3.290,12.11,384,1.000,bicubic
vit_small_patch16_384,83.804,16.196,97.102,2.898,22.20,384,1.000,bicubic
swin_s3_small_224,83.768,16.232,96.452,3.548,49.74,224,0.900,bicubic
xcit_tiny_24_p8_384_dist,83.742,16.258,96.710,3.290,12.11,384,1.000,bicubic
xcit_medium_24_p8_224,83.736,16.264,96.394,3.606,84.32,224,1.000,bicubic
resnetrs152,83.712,16.288,96.614,3.386,86.62,320,1.000,bicubic
regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic
regnety_064,83.720,16.280,96.722,3.278,30.58,288,1.000,bicubic
resnetrs152,83.714,16.286,96.614,3.386,86.62,320,1.000,bicubic
regnetv_064,83.714,16.286,96.746,3.254,30.58,288,1.000,bicubic
regnety_160,83.690,16.310,96.776,3.224,83.59,288,1.000,bicubic
twins_svt_large,83.680,16.320,96.594,3.406,99.27,224,0.900,bicubic
resnet152d,83.674,16.326,96.738,3.262,60.21,320,1.000,bicubic
resnet152d,83.678,16.322,96.738,3.262,60.21,320,1.000,bicubic
resmlp_big_24_distilled_224,83.588,16.412,96.648,3.352,129.14,224,0.875,bicubic
jx_nest_base,83.554,16.446,96.364,3.636,67.72,224,0.875,bicubic
jx_nest_base,83.556,16.444,96.362,3.638,67.72,224,0.875,bicubic
cait_s24_224,83.458,16.542,96.564,3.436,46.92,224,1.000,bicubic
efficientnet_b4,83.424,16.576,96.596,3.404,19.34,384,1.000,bicubic
deit_base_distilled_patch16_224,83.390,16.610,96.486,3.514,87.34,224,0.900,bicubic
deit_base_distilled_patch16_224,83.392,16.608,96.486,3.514,87.34,224,0.900,bicubic
dm_nfnet_f0,83.386,16.614,96.574,3.426,71.49,256,0.900,bicubic
swsl_resnext101_32x16d,83.356,16.644,96.842,3.158,194.03,224,0.875,bilinear
xcit_small_12_p16_224_dist,83.348,16.652,96.414,3.586,26.25,224,1.000,bicubic
vit_base_patch32_384,83.348,16.652,96.836,3.164,88.30,384,1.000,bicubic
swsl_resnext101_32x16d,83.350,16.650,96.844,3.156,194.03,224,0.875,bilinear
xcit_small_12_p16_224_dist,83.350,16.650,96.414,3.586,26.25,224,1.000,bicubic
vit_base_patch32_384,83.348,16.652,96.834,3.166,88.30,384,1.000,bicubic
xcit_small_12_p8_224,83.344,16.656,96.480,3.520,26.21,224,1.000,bicubic
tf_efficientnet_b4_ap,83.252,16.748,96.394,3.606,19.34,380,0.922,bicubic
swsl_resnext101_32x4d,83.236,16.764,96.764,3.236,44.18,224,0.875,bilinear
swin_small_patch4_window7_224,83.214,16.786,96.324,3.676,49.61,224,0.900,bicubic
twins_pcpvt_large,83.136,16.864,96.602,3.398,60.99,224,0.900,bicubic
twins_svt_base,83.136,16.864,96.420,3.580,56.07,224,0.900,bicubic
convnext_small,83.126,16.874,96.424,3.576,50.22,224,0.875,bicubic
jx_nest_small,83.120,16.880,96.328,3.672,38.35,224,0.875,bicubic
deit_base_patch16_384,83.106,16.894,96.370,3.630,86.86,384,1.000,bicubic
tresnet_m,83.072,16.928,96.118,3.882,31.39,224,0.875,bilinear
swin_small_patch4_window7_224,83.216,16.784,96.324,3.676,49.61,224,0.900,bicubic
regnetv_040,83.200,16.800,96.662,3.338,20.64,288,1.000,bicubic
xception65,83.180,16.820,96.592,3.408,39.92,299,0.940,bicubic
convnext_small,83.150,16.850,96.432,3.568,50.22,224,0.875,bicubic
resnext101_64x4d,83.140,16.860,96.370,3.630,83.46,288,1.000,bicubic
twins_svt_base,83.138,16.862,96.420,3.580,56.07,224,0.900,bicubic
twins_pcpvt_large,83.134,16.866,96.604,3.396,60.99,224,0.900,bicubic
xception65p,83.126,16.874,96.478,3.522,39.82,299,0.940,bicubic
jx_nest_small,83.118,16.882,96.330,3.670,38.35,224,0.875,bicubic
deit_base_patch16_384,83.106,16.894,96.368,3.632,86.86,384,1.000,bicubic
tresnet_m,83.070,16.930,96.120,3.880,31.39,224,0.875,bilinear
tresnet_xl_448,83.054,16.946,96.172,3.828,78.44,448,0.875,bilinear
regnety_040,83.036,16.964,96.506,3.494,20.65,288,1.000,bicubic
tf_efficientnet_b4,83.024,16.976,96.300,3.700,19.34,380,0.922,bicubic
resnet101d,83.022,16.978,96.446,3.554,44.57,320,1.000,bicubic
xcit_large_24_p16_224,82.892,17.108,95.878,4.122,189.10,224,1.000,bicubic
resnest101e,82.888,17.112,96.320,3.680,48.28,256,0.875,bilinear
resnet101d,83.022,16.978,96.448,3.552,44.57,320,1.000,bicubic
xcit_large_24_p16_224,82.894,17.106,95.882,4.118,189.10,224,1.000,bicubic
resnest101e,82.890,17.110,96.318,3.682,48.28,256,0.875,bilinear
resnetv2_152x2_bit_teacher,82.872,17.128,96.570,3.430,236.34,224,0.875,bicubic
resnetv2_50x1_bit_distilled,82.828,17.172,96.526,3.474,25.55,224,0.875,bicubic
resnet152,82.824,17.176,96.134,3.866,60.19,224,0.950,bicubic
pnasnet5large,82.788,17.212,96.040,3.960,86.06,331,0.911,bicubic
resnetv2_50x1_bit_distilled,82.822,17.178,96.528,3.472,25.55,224,0.875,bicubic
resnet152,82.820,17.180,96.130,3.870,60.19,224,0.950,bicubic
pnasnet5large,82.790,17.210,96.040,3.960,86.06,331,0.911,bicubic
nfnet_l0,82.752,17.248,96.518,3.482,35.07,288,1.000,bicubic
regnety_032,82.726,17.274,96.424,3.576,19.44,288,1.000,bicubic
twins_pcpvt_base,82.704,17.296,96.348,3.652,43.83,224,0.900,bicubic
ig_resnext101_32x8d,82.698,17.302,96.632,3.368,88.79,224,0.875,bilinear
xcit_medium_24_p16_224,82.638,17.362,95.976,4.024,84.40,224,1.000,bicubic
twins_pcpvt_base,82.708,17.292,96.350,3.650,43.83,224,0.900,bicubic
ig_resnext101_32x8d,82.700,17.300,96.630,3.370,88.79,224,0.875,bilinear
xcit_medium_24_p16_224,82.638,17.362,95.974,4.026,84.40,224,1.000,bicubic
regnetz_c16_evos,82.632,17.368,96.476,3.524,13.49,320,0.950,bicubic
nasnetalarge,82.626,17.374,96.046,3.954,88.75,331,0.911,bicubic
levit_384,82.588,17.412,96.022,3.978,39.13,224,0.900,bicubic
xcit_small_24_p16_224,82.582,17.418,96.004,3.996,47.67,224,1.000,bicubic
eca_nfnet_l0,82.578,17.422,96.492,3.508,24.14,288,1.000,bicubic
xcit_tiny_24_p16_384_dist,82.570,17.430,96.284,3.716,12.12,384,1.000,bicubic
xcit_tiny_24_p8_224_dist,82.562,17.438,96.168,3.832,12.11,224,1.000,bicubic
xcit_small_24_p16_224,82.580,17.420,96.006,3.994,47.67,224,1.000,bicubic
eca_nfnet_l0,82.576,17.424,96.490,3.510,24.14,288,1.000,bicubic
xcit_tiny_24_p16_384_dist,82.572,17.428,96.288,3.712,12.12,384,1.000,bicubic
xcit_tiny_24_p8_224_dist,82.564,17.436,96.170,3.830,12.11,224,1.000,bicubic
resnet61q,82.526,17.474,96.134,3.866,36.85,288,1.000,bicubic
crossvit_18_dagger_240,82.520,17.480,96.072,3.928,44.27,240,0.875,bicubic
regnetz_c16,82.518,17.482,96.360,3.640,13.46,320,0.940,bicubic
crossvit_18_dagger_240,82.520,17.480,96.070,3.930,44.27,240,0.875,bicubic
regnetz_c16,82.516,17.484,96.360,3.640,13.46,320,0.940,bicubic
gc_efficientnetv2_rw_t,82.466,17.534,96.296,3.704,13.68,288,1.000,bicubic
pit_b_224,82.444,17.556,95.712,4.288,73.76,224,0.900,bicubic
crossvit_18_240,82.400,17.600,96.054,3.946,43.27,240,0.875,bicubic
xcit_tiny_12_p8_384_dist,82.392,17.608,96.222,3.778,6.71,384,1.000,bicubic
poolformer_m48,82.462,17.538,95.958,4.042,73.47,224,0.950,bicubic
pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic
crossvit_18_240,82.398,17.602,96.058,3.942,43.27,240,0.875,bicubic
xcit_tiny_12_p8_384_dist,82.394,17.606,96.220,3.780,6.71,384,1.000,bicubic
tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
resnet51q,82.362,17.638,96.180,3.820,35.70,288,1.000,bilinear
ecaresnet50t,82.348,17.652,96.138,3.862,25.57,320,0.950,bicubic
efficientnetv2_rw_t,82.344,17.656,96.196,3.804,13.65,288,1.000,bicubic
resnetv2_101x1_bitm,82.334,17.666,96.516,3.484,44.54,448,1.000,bilinear
crossvit_15_dagger_240,82.326,17.674,95.958,4.042,28.21,240,0.875,bicubic
coat_lite_small,82.310,17.690,95.848,4.152,19.84,224,0.900,bicubic
mixer_b16_224_miil,82.304,17.696,95.716,4.284,59.88,224,0.875,bilinear
convit_base,82.294,17.706,95.934,4.066,86.54,224,0.875,bicubic
resnetrs101,82.288,17.712,96.008,3.992,63.62,288,0.940,bicubic
tresnet_l_448,82.270,17.730,95.978,4.022,55.99,448,0.875,bilinear
efficientnet_b3,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
crossvit_base_240,82.214,17.786,95.832,4.168,105.03,240,0.875,bicubic
cait_xxs36_384,82.192,17.808,96.146,3.854,17.37,384,1.000,bicubic
swsl_resnext50_32x4d,82.174,17.826,96.232,3.768,25.03,224,0.875,bilinear
ecaresnet101d,82.172,17.828,96.048,3.952,44.57,224,0.875,bicubic
resnetv2_101x1_bitm,82.336,17.664,96.516,3.484,44.54,448,1.000,bilinear
crossvit_15_dagger_240,82.330,17.670,95.958,4.042,28.21,240,0.875,bicubic
mixer_b16_224_miil,82.308,17.692,95.718,4.282,59.88,224,0.875,bilinear
coat_lite_small,82.304,17.696,95.848,4.152,19.84,224,0.900,bicubic
resnetrs101,82.288,17.712,96.010,3.990,63.62,288,0.940,bicubic
convit_base,82.286,17.714,95.938,4.062,86.54,224,0.875,bicubic
tresnet_l_448,82.268,17.732,95.982,4.018,55.99,448,0.875,bilinear
efficientnet_b3,82.240,17.760,96.114,3.886,12.23,320,1.000,bicubic
convnext_tiny_hnf,82.222,17.778,95.866,4.134,28.59,224,0.950,bicubic
crossvit_base_240,82.216,17.784,95.834,4.166,105.03,240,0.875,bicubic
cait_xxs36_384,82.194,17.806,96.144,3.856,17.37,384,1.000,bicubic
swsl_resnext50_32x4d,82.176,17.824,96.232,3.768,25.03,224,0.875,bilinear
ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
swin_s3_tiny_224,82.126,17.874,95.950,4.050,28.33,224,0.900,bicubic
poolformer_m36,82.112,17.888,95.690,4.310,56.17,224,0.950,bicubic
visformer_small,82.106,17.894,95.874,4.126,40.22,224,0.900,bicubic
convnext_tiny,82.064,17.936,95.834,4.166,28.59,224,0.875,bicubic
halo2botnet50ts_256,82.062,17.938,95.642,4.358,22.64,256,0.950,bicubic
convnext_tiny,82.064,17.936,95.852,4.148,28.59,224,0.875,bicubic
halo2botnet50ts_256,82.060,17.940,95.642,4.358,22.64,256,0.950,bicubic
tresnet_xl,82.058,17.942,95.936,4.064,78.44,224,0.875,bilinear
fbnetv3_g,82.046,17.954,96.064,3.936,16.62,288,0.950,bilinear
resnetv2_101,82.042,17.958,95.862,4.138,44.54,224,0.950,bicubic
pit_s_distilled_224,81.996,18.004,95.796,4.204,24.04,224,0.900,bicubic
deit_base_patch16_224,81.994,18.006,95.734,4.266,86.57,224,0.900,bicubic
resnetv2_101,82.042,17.958,95.864,4.136,44.54,224,0.950,bicubic
deit_base_patch16_224,81.996,18.004,95.732,4.268,86.57,224,0.900,bicubic
pit_s_distilled_224,81.994,18.006,95.798,4.202,24.04,224,0.900,bicubic
resnetv2_50d_evos,81.980,18.020,95.910,4.090,25.59,288,0.950,bicubic
xcit_small_12_p16_224,81.976,18.024,95.818,4.182,26.25,224,1.000,bicubic
tf_efficientnetv2_b3,81.968,18.032,95.780,4.220,14.36,300,0.904,bicubic
resnet101,81.932,18.068,95.766,4.234,44.55,224,0.950,bicubic
xcit_tiny_24_p8_224,81.892,18.108,95.978,4.022,12.11,224,1.000,bicubic
tf_efficientnetv2_b3,81.966,18.034,95.780,4.220,14.36,300,0.904,bicubic
xception41p,81.960,18.040,95.794,4.206,26.91,299,0.940,bicubic
resnet101,81.932,18.068,95.770,4.230,44.55,224,0.950,bicubic
xcit_tiny_24_p8_224,81.892,18.108,95.976,4.024,12.11,224,1.000,bicubic
vit_small_r26_s32_224,81.856,18.144,96.020,3.980,36.43,224,0.900,bicubic
ssl_resnext101_32x16d,81.854,18.146,96.094,3.906,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.826,18.174,95.624,4.376,12.23,300,0.904,bicubic
tresnet_m_448,81.704,18.296,95.574,4.426,31.39,448,0.875,bilinear
twins_svt_small,81.684,18.316,95.672,4.328,24.06,224,0.900,bicubic
halonet50ts,81.658,18.342,95.610,4.390,22.73,256,0.940,bicubic
ssl_resnext101_32x16d,81.854,18.146,96.096,3.904,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.826,18.174,95.622,4.378,12.23,300,0.904,bicubic
resnetv2_50d_gn,81.818,18.182,95.922,4.078,25.57,288,0.950,bicubic
tresnet_m_448,81.704,18.296,95.572,4.428,31.39,448,0.875,bilinear
twins_svt_small,81.680,18.320,95.670,4.330,24.06,224,0.900,bicubic
halonet50ts,81.660,18.340,95.612,4.388,22.73,256,0.940,bicubic
tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
rexnet_200,81.628,18.372,95.668,4.332,16.37,224,0.875,bicubic
rexnet_200,81.630,18.370,95.668,4.332,16.37,224,0.875,bicubic
ssl_resnext101_32x8d,81.608,18.392,96.042,3.958,88.79,224,0.875,bilinear
lamhalobotnet50ts_256,81.550,18.450,95.502,4.498,22.57,256,0.950,bicubic
crossvit_15_240,81.544,18.456,95.688,4.312,27.53,240,0.875,bicubic
lamhalobotnet50ts_256,81.546,18.454,95.502,4.498,22.57,256,0.950,bicubic
crossvit_15_240,81.542,18.458,95.690,4.310,27.53,240,0.875,bicubic
tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
tnt_s_patch16_224,81.516,18.484,95.746,4.254,23.76,224,0.900,bicubic
vit_large_patch32_384,81.510,18.490,96.094,3.906,306.63,384,1.000,bicubic
tnt_s_patch16_224,81.520,18.480,95.744,4.256,23.76,224,0.900,bicubic
levit_256,81.506,18.494,95.492,4.508,18.89,224,0.900,bicubic
tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
vit_large_patch32_384,81.506,18.494,96.094,3.906,306.63,384,1.000,bicubic
tresnet_l,81.492,18.508,95.624,4.376,55.99,224,0.875,bilinear
wide_resnet50_2,81.452,18.548,95.530,4.470,68.88,224,0.875,bicubic
convit_small,81.424,18.576,95.742,4.258,27.78,224,0.875,bicubic
jx_nest_tiny,81.422,18.578,95.616,4.384,17.06,224,0.875,bicubic
vit_small_patch16_224,81.396,18.604,96.134,3.866,22.05,224,0.900,bicubic
tf_efficientnet_b1_ns,81.386,18.614,95.736,4.264,7.79,240,0.882,bicubic
swin_tiny_patch4_window7_224,81.374,18.626,95.542,4.458,28.29,224,0.900,bicubic
convit_small,81.420,18.580,95.740,4.260,27.78,224,0.875,bicubic
jx_nest_tiny,81.420,18.580,95.618,4.382,17.06,224,0.875,bicubic
poolformer_s36,81.418,18.582,95.450,4.550,30.86,224,0.900,bicubic
vit_small_patch16_224,81.396,18.604,96.132,3.868,22.05,224,0.900,bicubic
tf_efficientnet_b1_ns,81.388,18.612,95.736,4.264,7.79,240,0.882,bicubic
swin_tiny_patch4_window7_224,81.374,18.626,95.544,4.456,28.29,224,0.900,bicubic
convmixer_1536_20,81.366,18.634,95.614,4.386,51.63,224,0.960,bicubic
gernet_l,81.346,18.654,95.532,4.468,31.08,256,0.875,bilinear
legacy_senet154,81.310,18.690,95.490,4.510,115.09,224,0.875,bilinear
efficientnet_el,81.306,18.694,95.526,4.474,10.59,300,0.904,bicubic
coat_mini,81.264,18.736,95.394,4.606,10.34,224,0.900,bicubic
seresnext50_32x4d,81.258,18.742,95.628,4.372,27.56,224,0.875,bicubic
gernet_l,81.344,18.656,95.532,4.468,31.08,256,0.875,bilinear
efficientnet_el,81.310,18.690,95.530,4.470,10.59,300,0.904,bicubic
legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
coat_mini,81.266,18.734,95.394,4.606,10.34,224,0.900,bicubic
seresnext50_32x4d,81.258,18.742,95.630,4.370,27.56,224,0.875,bicubic
gluon_senet154,81.232,18.768,95.348,4.652,115.09,224,0.875,bicubic
xcit_tiny_12_p8_224_dist,81.208,18.792,95.602,4.398,6.71,224,1.000,bicubic
deit_small_distilled_patch16_224,81.204,18.796,95.378,4.622,22.44,224,0.900,bicubic
swsl_resnet50,81.170,18.830,95.978,4.022,25.56,224,0.875,bilinear
deit_small_distilled_patch16_224,81.208,18.792,95.374,4.626,22.44,224,0.900,bicubic
xcit_tiny_12_p8_224_dist,81.208,18.792,95.600,4.400,6.71,224,1.000,bicubic
swsl_resnet50,81.174,18.826,95.978,4.022,25.56,224,0.875,bilinear
sebotnet33ts_256,81.156,18.844,95.170,4.830,13.70,256,0.940,bicubic
resmlp_36_distilled_224,81.154,18.846,95.488,4.512,44.69,224,0.875,bicubic
sebotnet33ts_256,81.154,18.846,95.168,4.832,13.70,256,0.940,bicubic
lambda_resnet50ts,81.150,18.850,95.104,4.896,21.54,256,0.950,bicubic
lambda_resnet50ts,81.146,18.854,95.102,4.898,21.54,256,0.950,bicubic
resnest50d_4s2x40d,81.110,18.890,95.564,4.436,30.42,224,0.875,bicubic
resnext50_32x4d,81.104,18.896,95.326,4.674,25.03,224,0.950,bicubic
pit_s_224,81.098,18.902,95.330,4.670,23.46,224,0.900,bicubic
twins_pcpvt_small,81.088,18.912,95.640,4.360,24.11,224,0.900,bicubic
haloregnetz_b,81.052,18.948,95.194,4.806,11.68,224,0.940,bicubic
resnext50_32x4d,81.108,18.892,95.326,4.674,25.03,224,0.950,bicubic
pit_s_224,81.100,18.900,95.330,4.670,23.46,224,0.900,bicubic
twins_pcpvt_small,81.090,18.910,95.640,4.360,24.11,224,0.900,bicubic
haloregnetz_b,81.050,18.950,95.196,4.804,11.68,224,0.940,bicubic
resmlp_big_24_224,81.032,18.968,95.020,4.980,129.14,224,0.875,bicubic
crossvit_small_240,81.022,18.978,95.458,4.542,26.86,240,0.875,bicubic
gluon_resnet152_v1s,81.022,18.978,95.414,4.586,60.32,224,0.875,bicubic
resnest50d_1s4x24d,80.986,19.014,95.320,4.680,25.68,224,0.875,bicubic
resnest50d,80.978,19.022,95.378,4.622,27.48,224,0.875,bilinear
sehalonet33ts,80.966,19.034,95.272,4.728,13.69,256,0.940,bicubic
cait_xxs24_384,80.964,19.036,95.646,4.354,12.03,384,1.000,bicubic
xcit_tiny_12_p16_384_dist,80.944,19.056,95.410,4.590,6.72,384,1.000,bicubic
gcresnet50t,80.938,19.062,95.452,4.548,25.90,256,0.900,bicubic
ssl_resnext101_32x4d,80.926,19.074,95.724,4.276,44.18,224,0.875,bilinear
gluon_seresnext101_32x4d,80.906,19.094,95.296,4.704,48.96,224,0.875,bicubic
crossvit_small_240,81.018,18.982,95.456,4.544,26.86,240,0.875,bicubic
gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic
resnest50d_1s4x24d,80.990,19.010,95.324,4.676,25.68,224,0.875,bicubic
resnest50d,80.982,19.018,95.380,4.620,27.48,224,0.875,bilinear
cait_xxs24_384,80.966,19.034,95.646,4.354,12.03,384,1.000,bicubic
sehalonet33ts,80.964,19.036,95.272,4.728,13.69,256,0.940,bicubic
xcit_tiny_12_p16_384_dist,80.944,19.056,95.412,4.588,6.72,384,1.000,bicubic
gcresnet50t,80.942,19.058,95.454,4.546,25.90,256,0.900,bicubic
ssl_resnext101_32x4d,80.924,19.076,95.726,4.274,44.18,224,0.875,bilinear
gluon_seresnext101_32x4d,80.906,19.094,95.294,4.706,48.96,224,0.875,bicubic
gluon_seresnext101_64x4d,80.878,19.122,95.298,4.702,88.23,224,0.875,bicubic
efficientnet_b3_pruned,80.856,19.144,95.244,4.756,9.86,300,0.904,bicubic
ecaresnet101d_pruned,80.816,19.184,95.634,4.366,24.88,224,0.875,bicubic
regnety_320,80.808,19.192,95.244,4.756,145.05,224,0.875,bicubic
efficientnet_b3_pruned,80.858,19.142,95.244,4.756,9.86,300,0.904,bicubic
ecaresnet101d_pruned,80.814,19.186,95.630,4.370,24.88,224,0.875,bicubic
regnety_320,80.810,19.190,95.244,4.756,145.05,224,0.875,bicubic
resmlp_24_distilled_224,80.764,19.236,95.224,4.776,30.02,224,0.875,bicubic
gernet_m,80.746,19.254,95.184,4.816,21.14,224,0.875,bilinear
gernet_m,80.744,19.256,95.184,4.816,21.14,224,0.875,bilinear
vit_base_patch32_224,80.722,19.278,95.566,4.434,88.22,224,0.900,bicubic
regnetz_b16,80.716,19.284,95.478,4.522,9.72,288,0.940,bicubic
regnetz_b16,80.714,19.286,95.478,4.522,9.72,288,0.940,bicubic
nf_resnet50,80.654,19.346,95.334,4.666,25.56,288,0.940,bicubic
efficientnet_b2,80.612,19.388,95.314,4.686,9.11,288,1.000,bicubic
efficientnet_b2,80.614,19.386,95.316,4.684,9.11,288,1.000,bicubic
gluon_resnext101_64x4d,80.604,19.396,94.992,5.008,83.46,224,0.875,bicubic
ecaresnet50d,80.602,19.398,95.320,4.680,25.58,224,0.875,bicubic
ecaresnet50d,80.600,19.400,95.320,4.680,25.58,224,0.875,bicubic
gcresnext50ts,80.578,19.422,95.170,4.830,15.67,256,0.900,bicubic
resnet50d,80.526,19.474,95.162,4.838,25.58,224,0.875,bicubic
resnet50d,80.522,19.478,95.162,4.838,25.58,224,0.875,bicubic
repvgg_b3,80.496,19.504,95.264,4.736,123.09,224,0.875,bilinear
vit_small_patch32_384,80.484,19.516,95.598,4.402,22.92,384,1.000,bicubic
gluon_resnet152_v1d,80.476,19.524,95.208,4.792,60.21,224,0.875,bicubic
mixnet_xl,80.476,19.524,94.934,5.066,11.90,224,0.875,bicubic
ecaresnetlight,80.462,19.538,95.252,4.748,30.16,224,0.875,bicubic
vit_small_patch32_384,80.484,19.516,95.600,4.400,22.92,384,1.000,bicubic
gluon_resnet152_v1d,80.476,19.524,95.204,4.796,60.21,224,0.875,bicubic
mixnet_xl,80.474,19.526,94.934,5.066,11.90,224,0.875,bicubic
inception_resnet_v2,80.460,19.540,95.308,4.692,55.84,299,0.897,bicubic
xcit_tiny_24_p16_224_dist,80.448,19.552,95.216,4.784,12.12,224,1.000,bicubic
ecaresnetlight,80.452,19.548,95.250,4.750,30.16,224,0.875,bicubic
xcit_tiny_24_p16_224_dist,80.446,19.554,95.216,4.784,12.12,224,1.000,bicubic
resnetv2_50,80.420,19.580,95.074,4.926,25.55,224,0.950,bicubic
gluon_resnet101_v1d,80.416,19.584,95.016,4.984,44.57,224,0.875,bicubic
resnet50,80.372,19.628,94.610,5.390,25.56,224,0.950,bicubic
regnety_120,80.370,19.630,95.124,4.876,51.82,224,0.875,bicubic
seresnet33ts,80.356,19.644,95.108,4.892,19.78,256,0.900,bicubic
gluon_resnet101_v1d,80.420,19.580,95.016,4.984,44.57,224,0.875,bicubic
resnet50,80.376,19.624,94.616,5.384,25.56,224,0.950,bicubic
regnety_120,80.376,19.624,95.126,4.874,51.82,224,0.875,bicubic
seresnet33ts,80.350,19.650,95.106,4.894,19.78,256,0.900,bicubic
gluon_resnext101_32x4d,80.344,19.656,94.926,5.074,44.18,224,0.875,bicubic
resnetv2_50x1_bitm,80.342,19.658,95.680,4.320,25.55,448,1.000,bilinear
gluon_resnext101_32x4d,80.340,19.660,94.926,5.074,44.18,224,0.875,bicubic
ssl_resnext50_32x4d,80.316,19.684,95.410,4.590,25.03,224,0.875,bilinear
poolformer_s24,80.314,19.686,95.046,4.954,21.39,224,0.900,bicubic
rexnet_150,80.310,19.690,95.166,4.834,9.73,224,0.875,bicubic
efficientnet_el_pruned,80.302,19.698,95.218,4.782,10.59,300,0.904,bicubic
gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic
tf_efficientnet_b2_ap,80.302,19.698,95.028,4.972,9.11,260,0.890,bicubic
efficientnet_el_pruned,80.302,19.698,95.216,4.784,10.59,300,0.904,bicubic
gluon_resnet101_v1s,80.298,19.702,95.164,4.836,44.67,224,0.875,bicubic
seresnet50,80.264,19.736,95.072,4.928,28.09,224,0.875,bicubic
tf_efficientnet_el,80.250,19.750,95.130,4.870,10.59,300,0.904,bicubic
vit_base_patch16_224_sam,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic
tf_efficientnet_el,80.250,19.750,95.122,4.878,10.59,300,0.904,bicubic
vit_base_patch16_224_sam,80.242,19.758,94.754,5.246,86.57,224,0.900,bicubic
regnetx_320,80.240,19.760,95.022,4.978,107.81,224,0.875,bicubic
legacy_seresnext101_32x4d,80.228,19.772,95.014,4.986,48.96,224,0.875,bilinear
legacy_seresnext101_32x4d,80.224,19.776,95.010,4.990,48.96,224,0.875,bilinear
repvgg_b3g4,80.212,19.788,95.106,4.894,83.83,224,0.875,bilinear
tf_efficientnetv2_b2,80.206,19.794,95.042,4.958,10.10,260,0.890,bicubic
dpn107,80.172,19.828,94.906,5.094,86.92,224,0.875,bicubic
inception_v4,80.170,19.830,94.970,5.030,42.68,299,0.875,bicubic
convmixer_768_32,80.164,19.836,95.072,4.928,21.11,224,0.960,bicubic
inception_v4,80.162,19.838,94.966,5.034,42.68,299,0.875,bicubic
skresnext50_32x4d,80.152,19.848,94.644,5.356,27.48,224,0.875,bicubic
eca_resnet33ts,80.084,19.916,94.970,5.030,19.68,256,0.900,bicubic
gcresnet33ts,80.084,19.916,95.000,5.000,19.88,256,0.900,bicubic
eca_resnet33ts,80.080,19.920,94.970,5.030,19.68,256,0.900,bicubic
gcresnet33ts,80.080,19.920,95.000,5.000,19.88,256,0.900,bicubic
tf_efficientnet_b2,80.080,19.920,94.908,5.092,9.11,260,0.890,bicubic
cspdarknet53,80.062,19.938,95.084,4.916,27.64,256,0.887,bilinear
resnet50_gn,80.052,19.948,94.946,5.054,25.56,224,0.940,bicubic
resnet50_gn,80.054,19.946,94.948,5.052,25.56,224,0.940,bicubic
cspresnext50,80.050,19.950,94.946,5.054,20.57,224,0.875,bilinear
dpn92,80.016,19.984,94.828,5.172,37.67,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.980,20.020,94.938,5.062,55.84,299,0.897,bicubic
dpn92,80.016,19.984,94.824,5.176,37.67,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.978,20.022,94.938,5.062,55.84,299,0.897,bicubic
efficientnet_b2_pruned,79.916,20.084,94.854,5.146,8.31,260,0.890,bicubic
gluon_seresnext50_32x4d,79.916,20.084,94.834,5.166,27.56,224,0.875,bicubic
gluon_resnet152_v1c,79.912,20.088,94.848,5.152,60.21,224,0.875,bicubic
resnetrs50,79.890,20.110,94.966,5.034,35.69,224,0.910,bicubic
regnety_080,79.880,20.120,94.830,5.170,39.18,224,0.875,bicubic
xception71,79.872,20.128,94.922,5.078,42.34,299,0.903,bicubic
deit_small_patch16_224,79.866,20.134,95.046,4.954,22.05,224,0.900,bicubic
ecaresnet26t,79.848,20.152,95.084,4.916,16.01,320,0.950,bicubic
regnetx_160,79.848,20.152,94.830,5.170,54.28,224,0.875,bicubic
gluon_seresnext50_32x4d,79.914,20.086,94.832,5.168,27.56,224,0.875,bicubic
gluon_resnet152_v1c,79.908,20.092,94.848,5.152,60.21,224,0.875,bicubic
resnetrs50,79.886,20.114,94.966,5.034,35.69,224,0.910,bicubic
xception71,79.876,20.124,94.922,5.078,42.34,299,0.903,bicubic
deit_small_patch16_224,79.860,20.140,95.046,4.954,22.05,224,0.900,bicubic
regnetx_160,79.850,20.150,94.830,5.170,54.28,224,0.875,bicubic
ecaresnet26t,79.848,20.152,95.086,4.914,16.01,320,0.950,bicubic
levit_192,79.832,20.168,94.786,5.214,10.95,224,0.900,bicubic
dpn131,79.824,20.176,94.708,5.292,79.25,224,0.875,bicubic
tf_efficientnet_lite3,79.818,20.182,94.914,5.086,8.20,300,0.904,bilinear
tf_efficientnet_lite3,79.820,20.180,94.912,5.088,8.20,300,0.904,bilinear
resmlp_36_224,79.768,20.232,94.886,5.114,44.69,224,0.875,bicubic
cait_xxs36_224,79.750,20.250,94.870,5.130,17.30,224,1.000,bicubic
regnety_064,79.720,20.280,94.764,5.236,30.58,224,0.875,bicubic
cait_xxs36_224,79.748,20.252,94.866,5.134,17.30,224,1.000,bicubic
gluon_xception65,79.716,20.284,94.860,5.140,39.92,299,0.903,bicubic
ecaresnet50d_pruned,79.710,20.290,94.880,5.120,19.94,224,0.875,bicubic
xcit_tiny_12_p8_224,79.694,20.306,95.054,4.946,6.71,224,1.000,bicubic
fbnetv3_d,79.682,20.318,94.950,5.050,10.31,256,0.950,bilinear
gluon_resnet152_v1b,79.676,20.324,94.738,5.262,60.19,224,0.875,bicubic
ecaresnet50d_pruned,79.708,20.292,94.880,5.120,19.94,224,0.875,bicubic
xcit_tiny_12_p8_224,79.690,20.310,95.054,4.946,6.71,224,1.000,bicubic
fbnetv3_d,79.682,20.318,94.948,5.052,10.31,256,0.950,bilinear
gluon_resnet152_v1b,79.680,20.320,94.738,5.262,60.19,224,0.875,bicubic
resnext50d_32x4d,79.670,20.330,94.864,5.136,25.05,224,0.875,bicubic
dpn98,79.644,20.356,94.598,5.402,61.57,224,0.875,bicubic
gmlp_s16_224,79.642,20.358,94.624,5.376,19.42,224,0.875,bicubic
dpn98,79.646,20.354,94.596,5.404,61.57,224,0.875,bicubic
gmlp_s16_224,79.640,20.360,94.624,5.376,19.42,224,0.875,bicubic
regnetx_120,79.592,20.408,94.734,5.266,46.11,224,0.875,bicubic
cspresnet50,79.580,20.420,94.704,5.296,21.62,256,0.887,bilinear
xception65,79.548,20.452,94.656,5.344,39.92,299,0.903,bicubic
gluon_resnet101_v1c,79.532,20.468,94.580,5.420,44.57,224,0.875,bicubic
rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
eca_halonext26ts,79.488,20.512,94.596,5.404,10.76,256,0.940,bicubic
hrnet_w64,79.468,20.532,94.654,5.346,128.06,224,0.875,bilinear
tf_efficientnetv2_b1,79.462,20.538,94.726,5.274,8.14,240,0.882,bicubic
dla102x2,79.450,20.550,94.634,5.366,41.28,224,0.875,bilinear
xcit_tiny_24_p16_224,79.448,20.552,94.886,5.114,12.12,224,1.000,bicubic
cspresnet50,79.582,20.418,94.704,5.296,21.62,256,0.887,bilinear
gluon_resnet101_v1c,79.534,20.466,94.580,5.420,44.57,224,0.875,bicubic
rexnet_130,79.500,20.500,94.684,5.316,7.56,224,0.875,bicubic
eca_halonext26ts,79.490,20.510,94.598,5.402,10.76,256,0.940,bicubic
hrnet_w64,79.472,20.528,94.652,5.348,128.06,224,0.875,bilinear
tf_efficientnetv2_b1,79.464,20.536,94.724,5.276,8.14,240,0.882,bicubic
dla102x2,79.446,20.554,94.632,5.368,41.28,224,0.875,bilinear
xcit_tiny_24_p16_224,79.444,20.556,94.884,5.116,12.12,224,1.000,bicubic
resmlp_24_224,79.382,20.618,94.546,5.454,30.02,224,0.875,bicubic
repvgg_b2g4,79.370,20.630,94.686,5.314,61.76,224,0.875,bilinear
gluon_resnext50_32x4d,79.368,20.632,94.426,5.574,25.03,224,0.875,bicubic
repvgg_b2g4,79.370,20.630,94.688,5.312,61.76,224,0.875,bilinear
gluon_resnext50_32x4d,79.364,20.636,94.426,5.574,25.03,224,0.875,bicubic
resnext101_32x8d,79.316,20.684,94.518,5.482,88.79,224,0.875,bilinear
ese_vovnet39b,79.310,20.690,94.716,5.284,24.57,224,0.875,bicubic
resnetblur50,79.308,20.692,94.634,5.366,25.56,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,79.306,20.694,94.370,5.630,39.72,240,0.882,bicubic
gluon_resnet101_v1b,79.304,20.696,94.522,5.478,44.55,224,0.875,bicubic
pit_xs_distilled_224,79.304,20.696,94.366,5.634,11.00,224,0.900,bicubic
hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
nf_regnet_b1,79.288,20.712,94.750,5.250,10.22,288,0.900,bicubic
tf_efficientnet_b1_ap,79.278,20.722,94.306,5.694,7.79,240,0.882,bicubic
eca_botnext26ts_256,79.272,20.728,94.616,5.384,10.59,256,0.950,bicubic
ese_vovnet39b,79.312,20.688,94.714,5.286,24.57,224,0.875,bicubic
pit_xs_distilled_224,79.306,20.694,94.364,5.636,11.00,224,0.900,bicubic
tf_efficientnet_cc_b1_8e,79.306,20.694,94.372,5.628,39.72,240,0.882,bicubic
resnetblur50,79.304,20.696,94.634,5.366,25.56,224,0.875,bicubic
gluon_resnet101_v1b,79.302,20.698,94.520,5.480,44.55,224,0.875,bicubic
hrnet_w48,79.302,20.698,94.512,5.488,77.47,224,0.875,bilinear
nf_regnet_b1,79.288,20.712,94.748,5.252,10.22,288,0.900,bicubic
tf_efficientnet_b1_ap,79.280,20.720,94.304,5.696,7.79,240,0.882,bicubic
eca_botnext26ts_256,79.274,20.726,94.616,5.384,10.59,256,0.950,bicubic
botnet26t_256,79.252,20.748,94.528,5.472,12.49,256,0.950,bicubic
efficientnet_em,79.250,20.750,94.796,5.204,6.90,240,0.882,bicubic
ssl_resnet50,79.220,20.780,94.832,5.168,25.56,224,0.875,bilinear
regnety_040,79.216,20.784,94.656,5.344,20.65,224,0.875,bicubic
dpn68b,79.214,20.786,94.414,5.586,12.61,224,0.875,bicubic
resnet33ts,79.212,20.788,94.572,5.428,19.68,256,0.900,bicubic
regnetx_080,79.200,20.800,94.552,5.448,39.57,224,0.875,bicubic
res2net101_26w_4s,79.198,20.802,94.438,5.562,45.21,224,0.875,bilinear
fbnetv3_b,79.150,20.850,94.746,5.254,8.60,256,0.950,bilinear
halonet26t,79.116,20.884,94.312,5.688,12.48,256,0.950,bicubic
lambda_resnet26t,79.096,20.904,94.588,5.412,10.96,256,0.940,bicubic
coat_lite_mini,79.092,20.908,94.606,5.394,11.01,224,0.900,bicubic
gluon_resnet50_v1d,79.076,20.924,94.470,5.530,25.58,224,0.875,bicubic
legacy_seresnext50_32x4d,79.070,20.930,94.432,5.568,27.56,224,0.875,bilinear
efficientnet_em,79.250,20.750,94.794,5.206,6.90,240,0.882,bicubic
ssl_resnet50,79.226,20.774,94.836,5.164,25.56,224,0.875,bilinear
dpn68b,79.220,20.780,94.418,5.582,12.61,224,0.875,bicubic
resnet33ts,79.210,20.790,94.572,5.428,19.68,256,0.900,bicubic
regnetx_080,79.202,20.798,94.554,5.446,39.57,224,0.875,bicubic
res2net101_26w_4s,79.196,20.804,94.436,5.564,45.21,224,0.875,bilinear
fbnetv3_b,79.148,20.852,94.746,5.254,8.60,256,0.950,bilinear
halonet26t,79.116,20.884,94.310,5.690,12.48,256,0.950,bicubic
lambda_resnet26t,79.098,20.902,94.588,5.412,10.96,256,0.940,bicubic
coat_lite_mini,79.096,20.904,94.604,5.396,11.01,224,0.900,bicubic
gluon_resnet50_v1d,79.076,20.924,94.472,5.528,25.58,224,0.875,bicubic
legacy_seresnext50_32x4d,79.068,20.932,94.434,5.566,27.56,224,0.875,bilinear
regnetx_064,79.066,20.934,94.458,5.542,26.21,224,0.875,bicubic
xception,79.048,20.952,94.392,5.608,22.86,299,0.897,bicubic
resnet32ts,79.014,20.986,94.356,5.644,17.96,256,0.900,bicubic
res2net50_26w_8s,78.976,21.024,94.294,5.706,48.40,224,0.875,bilinear
xception,79.050,20.950,94.392,5.608,22.86,299,0.897,bicubic
resnet32ts,79.012,20.988,94.358,5.642,17.96,256,0.900,bicubic
res2net50_26w_8s,78.980,21.020,94.294,5.706,48.40,224,0.875,bilinear
mixnet_l,78.976,21.024,94.178,5.822,7.33,224,0.875,bicubic
lambda_resnet26rpt_256,78.968,21.032,94.428,5.572,10.99,256,0.940,bicubic
hrnet_w40,78.916,21.084,94.474,5.526,57.56,224,0.875,bilinear
hrnet_w44,78.900,21.100,94.372,5.628,67.06,224,0.875,bilinear
wide_resnet101_2,78.852,21.148,94.288,5.712,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.820,21.180,94.196,5.804,7.79,240,0.882,bicubic
gluon_inception_v3,78.806,21.194,94.372,5.628,23.83,299,0.875,bicubic
hrnet_w44,78.900,21.100,94.374,5.626,67.06,224,0.875,bilinear
wide_resnet101_2,78.854,21.146,94.290,5.710,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.828,21.172,94.198,5.802,7.79,240,0.882,bicubic
gluon_inception_v3,78.804,21.196,94.370,5.630,23.83,299,0.875,bicubic
efficientnet_b1,78.796,21.204,94.342,5.658,7.79,256,1.000,bicubic
repvgg_b2,78.792,21.208,94.418,5.582,89.02,224,0.875,bilinear
efficientnet_b1,78.790,21.210,94.342,5.658,7.79,256,1.000,bicubic
tf_mixnet_l,78.774,21.226,93.996,6.004,7.33,224,0.875,bicubic
gluon_resnet50_v1s,78.708,21.292,94.240,5.760,25.68,224,0.875,bicubic
dla169,78.694,21.306,94.336,5.664,53.39,224,0.875,bilinear
tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
legacy_seresnet152,78.656,21.344,94.368,5.632,66.82,224,0.875,bilinear
xcit_tiny_12_p16_224_dist,78.574,21.426,94.198,5.802,6.72,224,1.000,bicubic
gluon_resnet50_v1s,78.712,21.288,94.240,5.760,25.68,224,0.875,bicubic
dla169,78.692,21.308,94.340,5.660,53.39,224,0.875,bilinear
tf_efficientnet_b0_ns,78.658,21.342,94.378,5.622,5.29,224,0.875,bicubic
legacy_seresnet152,78.652,21.348,94.370,5.630,66.82,224,0.875,bilinear
xcit_tiny_12_p16_224_dist,78.576,21.424,94.196,5.804,6.72,224,1.000,bicubic
res2net50_26w_6s,78.566,21.434,94.134,5.866,37.05,224,0.875,bilinear
dla102x,78.514,21.486,94.224,5.776,26.31,224,0.875,bilinear
xception41,78.508,21.492,94.280,5.720,26.97,299,0.903,bicubic
levit_128,78.486,21.514,94.006,5.994,9.21,224,0.900,bicubic
resnest26d,78.484,21.516,94.294,5.706,17.07,224,0.875,bilinear
dla102x,78.516,21.484,94.226,5.774,26.31,224,0.875,bilinear
xception41,78.510,21.490,94.278,5.722,26.97,299,0.903,bicubic
levit_128,78.492,21.508,94.006,5.994,9.21,224,0.900,bicubic
regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
resnest26d,78.476,21.524,94.292,5.708,17.07,224,0.875,bilinear
dla60_res2net,78.462,21.538,94.206,5.794,20.85,224,0.875,bilinear
hrnet_w32,78.446,21.554,94.188,5.812,41.23,224,0.875,bilinear
dla60_res2next,78.442,21.558,94.150,5.850,17.03,224,0.875,bilinear
vit_tiny_patch16_384,78.432,21.568,94.542,5.458,5.79,384,1.000,bicubic
coat_tiny,78.428,21.572,94.038,5.962,5.50,224,0.900,bicubic
selecsls60b,78.412,21.588,94.170,5.830,32.77,224,0.875,bicubic
legacy_seresnet101,78.388,21.612,94.266,5.734,49.33,224,0.875,bilinear
hrnet_w32,78.448,21.552,94.194,5.806,41.23,224,0.875,bilinear
dla60_res2next,78.440,21.560,94.150,5.850,17.03,224,0.875,bilinear
vit_tiny_patch16_384,78.434,21.566,94.542,5.458,5.79,384,1.000,bicubic
coat_tiny,78.430,21.570,94.040,5.960,5.50,224,0.900,bicubic
selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
legacy_seresnet101,78.388,21.612,94.264,5.736,49.33,224,0.875,bilinear
cait_xxs24_224,78.384,21.616,94.310,5.690,11.96,224,1.000,bicubic
repvgg_b1,78.368,21.632,94.096,5.904,57.42,224,0.875,bilinear
tf_efficientnetv2_b0,78.360,21.640,94.024,5.976,7.14,224,0.875,bicubic
tv_resnet152,78.320,21.680,94.036,5.964,60.19,224,0.875,bilinear
tf_efficientnetv2_b0,78.360,21.640,94.020,5.980,7.14,224,0.875,bicubic
tv_resnet152,78.316,21.684,94.034,5.966,60.19,224,0.875,bilinear
mobilevit_s,78.312,21.688,94.152,5.848,5.58,256,0.900,bicubic
res2next50,78.252,21.748,93.886,6.114,24.67,224,0.875,bilinear
bat_resnext26ts,78.250,21.750,94.098,5.902,10.73,256,0.900,bicubic
res2next50,78.250,21.750,93.886,6.114,24.67,224,0.875,bilinear
dla60x,78.246,21.754,94.020,5.980,17.35,224,0.875,bilinear
efficientnet_b1_pruned,78.240,21.760,93.832,6.168,6.33,240,0.882,bicubic
dla60x,78.244,21.756,94.018,5.982,17.35,224,0.875,bilinear
efficientnet_b1_pruned,78.240,21.760,93.834,6.166,6.33,240,0.882,bicubic
hrnet_w30,78.198,21.802,94.224,5.776,37.71,224,0.875,bilinear
pit_xs_224,78.188,21.812,94.166,5.834,10.62,224,0.900,bicubic
pit_xs_224,78.186,21.814,94.164,5.836,10.62,224,0.900,bicubic
regnetx_032,78.172,21.828,94.088,5.912,15.30,224,0.875,bicubic
res2net50_14w_8s,78.144,21.856,93.850,6.150,25.06,224,0.875,bilinear
tf_efficientnet_em,78.132,21.868,94.046,5.954,6.90,240,0.882,bicubic
hardcorenas_f,78.098,21.902,93.804,6.196,8.20,224,0.875,bilinear
efficientnet_es,78.060,21.940,93.938,6.062,5.44,224,0.875,bicubic
gmixer_24_224,78.038,21.962,93.670,6.330,24.72,224,0.875,bicubic
dla102,78.028,21.972,93.950,6.050,33.27,224,0.875,bilinear
gluon_resnet50_v1c,78.010,21.990,93.988,6.012,25.58,224,0.875,bicubic
seresnext26t_32x4d,77.976,22.024,93.744,6.256,16.81,224,0.875,bicubic
selecsls60,77.974,22.026,93.832,6.168,30.67,224,0.875,bicubic
res2net50_26w_4s,77.956,22.044,93.852,6.148,25.70,224,0.875,bilinear
res2net50_14w_8s,78.144,21.856,93.848,6.152,25.06,224,0.875,bilinear
tf_efficientnet_em,78.132,21.868,94.044,5.956,6.90,240,0.882,bicubic
hardcorenas_f,78.098,21.902,93.802,6.198,8.20,224,0.875,bilinear
efficientnet_es,78.056,21.944,93.936,6.064,5.44,224,0.875,bicubic
gmixer_24_224,78.036,21.964,93.670,6.330,24.72,224,0.875,bicubic
dla102,78.030,21.970,93.948,6.052,33.27,224,0.875,bilinear
gluon_resnet50_v1c,78.012,21.988,93.990,6.010,25.58,224,0.875,bicubic
seresnext26t_32x4d,77.976,22.024,93.746,6.254,16.81,224,0.875,bicubic
selecsls60,77.976,22.024,93.830,6.170,30.67,224,0.875,bicubic
res2net50_26w_4s,77.960,22.040,93.852,6.148,25.70,224,0.875,bilinear
resmlp_12_distilled_224,77.942,22.058,93.558,6.442,15.35,224,0.875,bicubic
mobilenetv3_large_100_miil,77.918,22.082,92.906,7.094,5.48,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.908,22.092,93.656,6.344,24.01,224,0.875,bicubic
resnet26t,77.864,22.136,93.846,6.154,16.01,256,0.940,bicubic
mobilenetv3_large_100_miil,77.916,22.084,92.906,7.094,5.48,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.906,22.094,93.656,6.344,24.01,224,0.875,bicubic
resnet26t,77.862,22.138,93.844,6.156,16.01,256,0.940,bicubic
regnety_016,77.860,22.140,93.722,6.278,11.20,224,0.875,bicubic
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
tf_inception_v3,77.854,22.146,93.638,6.362,23.83,299,0.875,bicubic
tf_inception_v3,77.856,22.144,93.640,6.360,23.83,299,0.875,bicubic
seresnext26ts,77.852,22.148,93.790,6.210,10.39,256,0.900,bicubic
gcresnext26ts,77.820,22.180,93.832,6.168,10.48,256,0.900,bicubic
gcresnext26ts,77.820,22.180,93.830,6.170,10.48,256,0.900,bicubic
xcit_nano_12_p8_384_dist,77.818,22.182,94.044,5.956,3.05,384,1.000,bicubic
hardcorenas_e,77.792,22.208,93.698,6.302,8.07,224,0.875,bilinear
efficientnet_b0,77.694,22.306,93.534,6.466,5.29,224,0.875,bicubic
tinynet_a,77.652,22.348,93.538,6.462,6.19,192,0.875,bicubic
legacy_seresnet50,77.632,22.368,93.752,6.248,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.618,22.382,93.696,6.304,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic
hardcorenas_e,77.794,22.206,93.696,6.304,8.07,224,0.875,bilinear
efficientnet_b0,77.690,22.310,93.530,6.470,5.29,224,0.875,bicubic
tinynet_a,77.650,22.350,93.536,6.464,6.19,192,0.875,bicubic
legacy_seresnet50,77.630,22.370,93.750,6.250,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.616,22.384,93.700,6.300,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.604,22.396,93.608,6.392,16.81,224,0.875,bicubic
repvgg_b1g4,77.586,22.414,93.830,6.170,39.97,224,0.875,bilinear
adv_inception_v3,77.582,22.418,93.738,6.262,23.83,299,0.875,bicubic
adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
gluon_resnet50_v1b,77.580,22.420,93.722,6.278,25.56,224,0.875,bicubic
res2net50_48w_2s,77.522,22.478,93.552,6.448,25.29,224,0.875,bilinear
coat_lite_tiny,77.510,22.490,93.912,6.088,5.72,224,0.900,bicubic
res2net50_48w_2s,77.520,22.480,93.552,6.448,25.29,224,0.875,bilinear
coat_lite_tiny,77.514,22.486,93.916,6.084,5.72,224,0.900,bicubic
tf_efficientnet_lite2,77.468,22.532,93.756,6.244,6.09,260,0.890,bicubic
eca_resnext26ts,77.452,22.548,93.566,6.434,10.30,256,0.900,bicubic
inception_v3,77.438,22.562,93.476,6.524,23.83,299,0.875,bicubic
hardcorenas_d,77.432,22.568,93.484,6.516,7.50,224,0.875,bilinear
eca_resnext26ts,77.454,22.546,93.566,6.434,10.30,256,0.900,bicubic
inception_v3,77.438,22.562,93.474,6.526,23.83,299,0.875,bicubic
hardcorenas_d,77.430,22.570,93.482,6.518,7.50,224,0.875,bilinear
tv_resnet101,77.378,22.622,93.542,6.458,44.55,224,0.875,bilinear
densenet161,77.352,22.648,93.638,6.362,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.304,22.696,93.334,6.666,13.31,224,0.875,bicubic
mobilenetv2_120d,77.296,22.704,93.496,6.504,5.83,224,0.875,bicubic
densenet161,77.354,22.646,93.636,6.364,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.302,22.698,93.334,6.666,13.31,224,0.875,bicubic
mobilenetv2_120d,77.294,22.706,93.496,6.504,5.83,224,0.875,bicubic
densenet201,77.290,22.710,93.478,6.522,20.01,224,0.875,bicubic
mixnet_m,77.264,22.736,93.424,6.576,5.01,224,0.875,bicubic
selecsls42b,77.174,22.826,93.394,6.606,32.46,224,0.875,bicubic
xcit_tiny_12_p16_224,77.126,22.874,93.714,6.286,6.72,224,1.000,bicubic
poolformer_s12,77.236,22.764,93.504,6.496,11.92,224,0.900,bicubic
selecsls42b,77.174,22.826,93.392,6.608,32.46,224,0.875,bicubic
xcit_tiny_12_p16_224,77.126,22.874,93.716,6.284,6.72,224,1.000,bicubic
resnet34d,77.114,22.886,93.380,6.620,21.82,224,0.875,bicubic
legacy_seresnext26_32x4d,77.102,22.898,93.316,6.684,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.090,22.910,93.258,6.742,5.29,224,0.875,bicubic
hardcorenas_c,77.048,22.952,93.156,6.844,5.52,224,0.875,bilinear
dla60,77.036,22.964,93.318,6.682,22.04,224,0.875,bilinear
crossvit_9_dagger_240,76.978,23.022,93.612,6.388,8.78,240,0.875,bicubic
legacy_seresnext26_32x4d,77.106,22.894,93.318,6.682,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.094,22.906,93.256,6.744,5.29,224,0.875,bicubic
hardcorenas_c,77.050,22.950,93.158,6.842,5.52,224,0.875,bilinear
dla60,77.030,22.970,93.320,6.680,22.04,224,0.875,bilinear
crossvit_9_dagger_240,76.982,23.018,93.610,6.390,8.78,240,0.875,bicubic
regnetx_016,76.950,23.050,93.422,6.578,9.19,224,0.875,bicubic
convmixer_1024_20_ks9_p14,76.942,23.058,93.356,6.644,24.38,224,0.960,bicubic
tf_mixnet_m,76.942,23.058,93.152,6.848,5.01,224,0.875,bicubic
gernet_s,76.912,23.088,93.134,6.866,8.17,224,0.875,bilinear
tf_mixnet_m,76.942,23.058,93.154,6.846,5.01,224,0.875,bicubic
gernet_s,76.908,23.092,93.132,6.868,8.17,224,0.875,bilinear
skresnet34,76.904,23.096,93.320,6.680,22.28,224,0.875,bicubic
tf_efficientnet_b0,76.846,23.154,93.226,6.774,5.29,224,0.875,bicubic
ese_vovnet19b_dw,76.800,23.200,93.272,6.728,6.54,224,0.875,bicubic
tf_efficientnet_b0,76.844,23.156,93.228,6.772,5.29,224,0.875,bicubic
ese_vovnet19b_dw,76.802,23.198,93.272,6.728,6.54,224,0.875,bicubic
resnext26ts,76.780,23.220,93.128,6.872,10.30,256,0.900,bicubic
hrnet_w18,76.752,23.248,93.442,6.558,21.30,224,0.875,bilinear
resnet26d,76.700,23.300,93.146,6.854,16.01,224,0.875,bicubic
hrnet_w18,76.754,23.246,93.440,6.560,21.30,224,0.875,bilinear
resnet26d,76.704,23.296,93.150,6.850,16.01,224,0.875,bicubic
resmlp_12_224,76.656,23.344,93.180,6.820,15.35,224,0.875,bicubic
tf_efficientnet_lite1,76.636,23.364,93.222,6.778,5.42,240,0.882,bicubic
mixer_b16_224,76.610,23.390,92.230,7.770,59.88,224,0.875,bicubic
tf_efficientnet_es,76.598,23.402,93.204,6.796,5.44,224,0.875,bicubic
densenetblur121d,76.582,23.418,93.188,6.812,8.00,224,0.875,bicubic
hardcorenas_b,76.532,23.468,92.754,7.246,5.18,224,0.875,bilinear
levit_128s,76.520,23.480,92.866,7.134,7.78,224,0.900,bicubic
mobilenetv2_140,76.508,23.492,92.998,7.002,6.11,224,0.875,bicubic
repvgg_a2,76.460,23.540,93.006,6.994,28.21,224,0.875,bilinear
xcit_nano_12_p8_224_dist,76.320,23.680,93.086,6.914,3.05,224,1.000,bicubic
regnety_008,76.312,23.688,93.070,6.930,6.26,224,0.875,bicubic
tf_efficientnet_lite1,76.640,23.360,93.220,6.780,5.42,240,0.882,bicubic
mixer_b16_224,76.612,23.388,92.228,7.772,59.88,224,0.875,bicubic
tf_efficientnet_es,76.596,23.404,93.204,6.796,5.44,224,0.875,bicubic
densenetblur121d,76.584,23.416,93.192,6.808,8.00,224,0.875,bicubic
hardcorenas_b,76.536,23.464,92.754,7.246,5.18,224,0.875,bilinear
mobilenetv2_140,76.522,23.478,92.996,7.004,6.11,224,0.875,bicubic
levit_128s,76.520,23.480,92.872,7.128,7.78,224,0.900,bicubic
repvgg_a2,76.458,23.542,93.010,6.990,28.21,224,0.875,bilinear
xcit_nano_12_p8_224_dist,76.320,23.680,93.088,6.912,3.05,224,1.000,bicubic
regnety_008,76.310,23.690,93.070,6.930,6.26,224,0.875,bicubic
dpn68,76.306,23.694,92.974,7.026,12.61,224,0.875,bicubic
tv_resnet50,76.138,23.862,92.862,7.138,25.56,224,0.875,bilinear
vit_small_patch32_224,75.998,24.002,93.272,6.728,22.88,224,0.900,bicubic
tv_resnet50,76.134,23.866,92.868,7.132,25.56,224,0.875,bilinear
mixnet_s,75.992,24.008,92.798,7.202,4.13,224,0.875,bicubic
vit_tiny_r_s16_p8_384,75.956,24.044,93.262,6.738,6.36,384,1.000,bicubic
hardcorenas_a,75.922,24.078,92.516,7.484,5.26,224,0.875,bilinear
densenet169,75.900,24.100,93.030,6.970,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.762,24.238,92.540,7.460,5.48,224,0.875,bicubic
vit_small_patch32_224,75.986,24.014,93.270,6.730,22.88,224,0.900,bicubic
vit_tiny_r_s16_p8_384,75.954,24.046,93.264,6.736,6.36,384,1.000,bicubic
hardcorenas_a,75.920,24.080,92.520,7.480,5.26,224,0.875,bilinear
densenet169,75.898,24.102,93.030,6.970,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.766,24.234,92.544,7.456,5.48,224,0.875,bicubic
tf_mixnet_s,75.650,24.350,92.628,7.372,4.13,224,0.875,bicubic
mobilenetv3_rw,75.630,24.370,92.708,7.292,5.48,224,0.875,bicubic
densenet121,75.582,24.418,92.652,7.348,7.98,224,0.875,bicubic
mobilenetv3_rw,75.632,24.368,92.708,7.292,5.48,224,0.875,bicubic
densenet121,75.584,24.416,92.652,7.348,7.98,224,0.875,bicubic
tf_mobilenetv3_large_100,75.518,24.482,92.604,7.396,5.48,224,0.875,bilinear
resnest14d,75.506,24.494,92.520,7.480,10.61,224,0.875,bilinear
resnest14d,75.504,24.496,92.520,7.480,10.61,224,0.875,bilinear
efficientnet_lite0,75.476,24.524,92.512,7.488,4.65,224,0.875,bicubic
vit_tiny_patch16_224,75.456,24.544,92.846,7.154,5.72,224,0.900,bicubic
vit_tiny_patch16_224,75.462,24.538,92.844,7.156,5.72,224,0.900,bicubic
xcit_nano_12_p16_384_dist,75.456,24.544,92.690,7.310,3.05,384,1.000,bicubic
semnasnet_100,75.450,24.550,92.600,7.400,3.89,224,0.875,bicubic
xcit_nano_12_p16_384_dist,75.450,24.550,92.692,7.308,3.05,384,1.000,bicubic
resnet26,75.302,24.698,92.576,7.424,16.00,224,0.875,bicubic
regnety_006,75.246,24.754,92.534,7.466,6.06,224,0.875,bicubic
repvgg_b0,75.156,24.844,92.418,7.582,15.82,224,0.875,bilinear
fbnetc_100,75.126,24.874,92.382,7.618,5.57,224,0.875,bilinear
resnet26,75.300,24.700,92.578,7.422,16.00,224,0.875,bicubic
regnety_006,75.250,24.750,92.534,7.466,6.06,224,0.875,bicubic
repvgg_b0,75.160,24.840,92.418,7.582,15.82,224,0.875,bilinear
fbnetc_100,75.130,24.870,92.386,7.614,5.57,224,0.875,bilinear
hrnet_w18_small_v2,75.118,24.882,92.416,7.584,15.60,224,0.875,bilinear
resnet34,75.114,24.886,92.284,7.716,21.80,224,0.875,bilinear
mobilenetv2_110d,75.040,24.960,92.184,7.816,4.52,224,0.875,bicubic
regnetx_008,75.036,24.964,92.340,7.660,7.26,224,0.875,bicubic
efficientnet_es_pruned,74.998,25.002,92.438,7.562,5.44,224,0.875,bicubic
tinynet_b,74.980,25.020,92.186,7.814,3.73,188,0.875,bicubic
tf_efficientnet_lite0,74.832,25.168,92.176,7.824,4.65,224,0.875,bicubic
legacy_seresnet34,74.810,25.190,92.126,7.874,21.96,224,0.875,bilinear
tv_densenet121,74.744,25.256,92.150,7.850,7.98,224,0.875,bicubic
mnasnet_100,74.654,25.346,92.110,7.890,4.38,224,0.875,bicubic
mobilenetv2_110d,75.038,24.962,92.184,7.816,4.52,224,0.875,bicubic
regnetx_008,75.034,24.966,92.340,7.660,7.26,224,0.875,bicubic
efficientnet_es_pruned,74.996,25.004,92.440,7.560,5.44,224,0.875,bicubic
tinynet_b,74.976,25.024,92.184,7.816,3.73,188,0.875,bicubic
tf_efficientnet_lite0,74.832,25.168,92.174,7.826,4.65,224,0.875,bicubic
legacy_seresnet34,74.808,25.192,92.126,7.874,21.96,224,0.875,bilinear
tv_densenet121,74.744,25.256,92.152,7.848,7.98,224,0.875,bicubic
mnasnet_100,74.658,25.342,92.112,7.888,4.38,224,0.875,bicubic
mobilevit_xs,74.644,25.356,92.356,7.644,2.32,256,0.900,bicubic
dla34,74.620,25.380,92.072,7.928,15.74,224,0.875,bilinear
gluon_resnet34_v1b,74.592,25.408,91.988,8.012,21.80,224,0.875,bicubic
pit_ti_distilled_224,74.532,25.468,92.098,7.902,5.10,224,0.900,bicubic
deit_tiny_distilled_patch16_224,74.512,25.488,91.888,8.112,5.91,224,0.900,bicubic
gluon_resnet34_v1b,74.588,25.412,91.988,8.012,21.80,224,0.875,bicubic
pit_ti_distilled_224,74.532,25.468,92.096,7.904,5.10,224,0.900,bicubic
deit_tiny_distilled_patch16_224,74.512,25.488,91.886,8.114,5.91,224,0.900,bicubic
vgg19_bn,74.214,25.786,91.848,8.152,143.68,224,0.875,bilinear
spnasnet_100,74.086,25.914,91.818,8.182,4.42,224,0.875,bilinear
spnasnet_100,74.084,25.916,91.820,8.180,4.42,224,0.875,bilinear
regnety_004,74.024,25.976,91.754,8.246,4.34,224,0.875,bicubic
ghostnet_100,73.978,26.022,91.458,8.542,5.18,224,0.875,bilinear
crossvit_9_240,73.970,26.030,91.964,8.036,8.55,240,0.875,bicubic
xcit_nano_12_p8_224,73.918,26.082,92.170,7.830,3.05,224,1.000,bicubic
regnetx_006,73.852,26.148,91.674,8.326,6.20,224,0.875,bicubic
vit_base_patch32_224_sam,73.692,26.308,91.012,8.988,88.22,224,0.900,bicubic
tf_mobilenetv3_large_075,73.440,26.560,91.348,8.652,3.99,224,0.875,bilinear
ghostnet_100,73.974,26.026,91.460,8.540,5.18,224,0.875,bilinear
crossvit_9_240,73.960,26.040,91.968,8.032,8.55,240,0.875,bicubic
xcit_nano_12_p8_224,73.910,26.090,92.168,7.832,3.05,224,1.000,bicubic
regnetx_006,73.860,26.140,91.672,8.328,6.20,224,0.875,bicubic
vit_base_patch32_224_sam,73.694,26.306,91.010,8.990,88.22,224,0.900,bicubic
tf_mobilenetv3_large_075,73.436,26.564,91.344,8.656,3.99,224,0.875,bilinear
vgg16_bn,73.350,26.650,91.504,8.496,138.37,224,0.875,bilinear
crossvit_tiny_240,73.336,26.664,91.916,8.084,7.01,240,0.875,bicubic
tv_resnet34,73.308,26.692,91.424,8.576,21.80,224,0.875,bilinear
swsl_resnet18,73.274,26.726,91.738,8.262,11.69,224,0.875,bilinear
convit_tiny,73.120,26.880,91.720,8.280,5.71,224,0.875,bicubic
crossvit_tiny_240,73.332,26.668,91.914,8.086,7.01,240,0.875,bicubic
tv_resnet34,73.306,26.694,91.424,8.576,21.80,224,0.875,bilinear
swsl_resnet18,73.276,26.724,91.736,8.264,11.69,224,0.875,bilinear
convit_tiny,73.114,26.886,91.714,8.286,5.71,224,0.875,bicubic
skresnet18,73.036,26.964,91.168,8.832,11.96,224,0.875,bicubic
semnasnet_075,72.974,27.026,91.136,8.864,2.91,224,0.875,bicubic
mobilenetv2_100,72.966,27.034,91.018,8.982,3.50,224,0.875,bicubic
pit_ti_224,72.910,27.090,91.406,8.594,4.85,224,0.900,bicubic
ssl_resnet18,72.606,27.394,91.424,8.576,11.69,224,0.875,bilinear
regnetx_004,72.390,27.610,90.830,9.170,5.16,224,0.875,bicubic
semnasnet_075,72.972,27.028,91.136,8.864,2.91,224,0.875,bicubic
mobilenetv2_100,72.970,27.030,91.020,8.980,3.50,224,0.875,bicubic
pit_ti_224,72.912,27.088,91.406,8.594,4.85,224,0.900,bicubic
ssl_resnet18,72.608,27.392,91.424,8.576,11.69,224,0.875,bilinear
regnetx_004,72.392,27.608,90.832,9.168,5.16,224,0.875,bicubic
vgg19,72.366,27.634,90.870,9.130,143.67,224,0.875,bilinear
hrnet_w18_small,72.340,27.660,90.678,9.322,13.19,224,0.875,bilinear
xcit_nano_12_p16_224_dist,72.302,27.698,90.862,9.138,3.05,224,1.000,bicubic
hrnet_w18_small,72.338,27.662,90.680,9.320,13.19,224,0.875,bilinear
xcit_nano_12_p16_224_dist,72.302,27.698,90.858,9.142,3.05,224,1.000,bicubic
resnet18d,72.250,27.750,90.688,9.312,11.71,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.250,27.750,90.630,9.370,3.92,224,0.875,bilinear
deit_tiny_patch16_224,72.166,27.834,91.120,8.880,5.72,224,0.900,bicubic
lcnet_100,72.108,27.892,90.378,9.622,2.95,224,0.875,bicubic
mixer_l16_224,72.048,27.952,87.664,12.336,208.20,224,0.875,bicubic
vit_tiny_r_s16_p8_224,71.788,28.212,90.822,9.178,6.34,224,0.900,bicubic
deit_tiny_patch16_224,72.172,27.828,91.114,8.886,5.72,224,0.900,bicubic
lcnet_100,72.104,27.896,90.376,9.624,2.95,224,0.875,bicubic
mixer_l16_224,72.054,27.946,87.662,12.338,208.20,224,0.875,bicubic
vit_tiny_r_s16_p8_224,71.792,28.208,90.822,9.178,6.34,224,0.900,bicubic
legacy_seresnet18,71.742,28.258,90.332,9.668,11.78,224,0.875,bicubic
vgg13_bn,71.594,28.406,90.376,9.624,133.05,224,0.875,bilinear
vgg16,71.590,28.410,90.382,9.618,138.36,224,0.875,bilinear
tinynet_c,71.228,28.772,89.750,10.250,2.46,184,0.875,bicubic
gluon_resnet18_v1b,70.838,29.162,89.762,10.238,11.69,224,0.875,bicubic
gluon_resnet18_v1b,70.834,29.166,89.762,10.238,11.69,224,0.875,bicubic
vgg11_bn,70.360,29.640,89.802,10.198,132.87,224,0.875,bilinear
regnety_002,70.254,29.746,89.540,10.460,3.16,224,0.875,bicubic
xcit_nano_12_p16_224,69.964,30.036,89.760,10.240,3.05,224,1.000,bicubic
regnety_002,70.254,29.746,89.532,10.468,3.16,224,0.875,bicubic
xcit_nano_12_p16_224,69.954,30.046,89.754,10.246,3.05,224,1.000,bicubic
vgg13,69.926,30.074,89.246,10.754,133.05,224,0.875,bilinear
resnet18,69.744,30.256,89.082,10.918,11.69,224,0.875,bilinear
vgg11,69.028,30.972,88.626,11.374,132.86,224,0.875,bilinear
lcnet_075,68.818,31.182,88.374,11.626,2.36,224,0.875,bicubic
regnetx_002,68.750,31.250,88.556,11.444,2.68,224,0.875,bicubic
mobilevit_xxs,68.920,31.080,88.944,11.056,1.27,256,0.900,bicubic
lcnet_075,68.816,31.184,88.370,11.630,2.36,224,0.875,bicubic
regnetx_002,68.756,31.244,88.556,11.444,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,67.924,32.076,87.664,12.336,2.54,224,0.875,bilinear
dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
mobilenetv3_small_100,67.656,32.344,87.634,12.366,2.54,224,0.875,bicubic
tinynet_d,66.958,33.042,87.064,12.936,2.34,152,0.875,bicubic
mnasnet_small,66.206,33.794,86.508,13.492,2.03,224,0.875,bicubic
dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
mobilenetv2_050,65.942,34.058,86.082,13.918,1.97,224,0.875,bicubic
tf_mobilenetv3_small_075,65.714,34.286,86.134,13.866,2.04,224,0.875,bilinear
mnasnet_small,65.596,34.404,86.188,13.812,2.03,224,0.875,bicubic
mobilenetv3_small_075,65.242,34.758,85.438,14.562,2.04,224,0.875,bicubic
dla46_c,64.866,35.134,86.294,13.706,1.30,224,0.875,bilinear
lcnet_050,63.100,36.900,84.382,15.618,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,62.908,37.092,84.234,15.766,2.04,224,0.875,bilinear
tinynet_e,59.856,40.144,81.766,18.234,2.04,106,0.875,bicubic
tinynet_e,59.856,40.144,81.764,18.236,2.04,106,0.875,bicubic
mobilenetv3_small_050,57.890,42.110,80.194,19.806,1.59,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 beit_large_patch16_512 88.602 88.600 11.398 11.400 98.656 1.344 305.67 512 1.000 bicubic
3 beit_large_patch16_384 88.404 11.596 98.608 1.392 305.00 384 1.000 bicubic
4 tf_efficientnet_l2_ns 88.348 11.652 98.648 1.352 480.31 800 0.960 bicubic
5 tf_efficientnet_l2_ns_475 88.232 11.768 98.546 1.454 480.31 475 0.936 bicubic
6 convnext_xlarge_384_in22ft1k 87.544 87.546 12.456 12.454 98.490 98.486 1.510 1.514 350.20 384 1.000 bicubic
7 beit_large_patch16_224 87.478 87.474 12.522 12.526 98.306 98.304 1.694 1.696 304.43 224 0.900 bicubic
8 convnext_large_384_in22ft1k 87.398 87.396 12.602 12.604 98.366 98.368 1.634 1.632 197.77 384 1.000 bicubic
9 swin_large_patch4_window12_384 87.148 87.150 12.852 12.850 98.240 1.760 196.74 384 1.000 bicubic
10 vit_large_patch16_384 87.080 12.920 98.302 98.300 1.698 1.700 304.72 384 1.000 bicubic
11 convnext_xlarge_in22ft1k volo_d5_512 87.008 87.042 12.992 12.958 98.208 97.968 1.792 2.032 350.20 296.09 224 512 0.875 1.150 bicubic
12 tf_efficientnet_b7_ns convnext_xlarge_in22ft1k 86.840 87.002 13.160 12.998 98.094 98.212 1.906 1.788 66.35 350.20 600 224 0.949 0.875 bicubic
13 volo_d5_448 86.952 13.048 97.940 2.060 295.91 448 1.150 bicubic
14 tf_efficientnet_b7_ns 86.838 13.162 98.096 1.904 66.35 600 0.949 bicubic
15 beit_base_patch16_384 86.798 13.202 98.136 1.864 86.74 384 1.000 bicubic
16 convnext_large_in22ft1k volo_d4_448 86.626 86.790 13.374 13.210 98.032 97.882 1.968 2.118 197.77 193.41 224 448 0.875 1.150 bicubic
17 convnext_base_384_in22ft1k convnext_large_in22ft1k 86.566 86.636 13.434 13.364 98.198 98.028 1.802 1.972 88.59 197.77 384 224 1.000 0.875 bicubic
18 cait_m48_448 convnext_base_384_in22ft1k 86.484 86.544 13.516 13.456 97.752 98.190 2.248 1.810 356.46 88.59 448 384 1.000 bicubic
19 tf_efficientnet_b6_ns volo_d3_448 86.450 86.496 13.550 13.504 97.882 97.710 2.118 2.290 43.04 86.63 528 448 0.942 1.000 bicubic
20 cait_m48_448 86.486 13.514 97.752 2.248 356.46 448 1.000 bicubic
21 tf_efficientnet_b6_ns 86.454 13.546 97.882 2.118 43.04 528 0.942 bicubic
22 swin_base_patch4_window12_384 86.432 13.568 98.056 1.944 87.90 384 1.000 bicubic
23 tf_efficientnetv2_xl_in21ft1k 86.418 13.582 97.866 2.134 208.12 512 1.000 bicubic
24 swin_large_patch4_window7_224 86.318 86.314 13.682 13.686 97.892 2.108 196.53 224 0.900 bicubic
25 tf_efficientnetv2_l_in21ft1k 86.304 13.696 97.978 2.022 118.52 480 1.000 bicubic
26 vit_large_r50_s32_384 86.182 13.818 97.918 97.920 2.082 2.080 329.09 384 1.000 bicubic
27 dm_nfnet_f6 86.144 86.142 13.856 13.858 97.730 2.270 438.36 576 0.956 bicubic
28 tf_efficientnet_b5_ns 86.090 13.910 97.750 2.250 30.39 456 0.934 bicubic
29 volo_d5_224 86.072 13.928 97.578 2.422 295.46 224 0.960 bicubic
30 cait_m36_384 86.052 13.948 97.730 2.270 271.22 384 1.000 bicubic
31 vit_base_patch16_384 volo_d2_384 86.006 86.040 13.994 13.960 98.002 97.572 1.998 2.428 86.86 58.87 384 1.000 bicubic
32 xcit_large_24_p8_384_dist vit_base_patch16_384 86.000 86.010 14.000 13.990 97.684 98.002 2.316 1.998 188.93 86.86 384 1.000 bicubic
33 vit_large_patch16_224 xcit_large_24_p8_384_dist 85.844 85.998 14.156 14.002 97.824 97.684 2.176 2.316 304.33 188.93 224 384 0.900 1.000 bicubic
34 dm_nfnet_f5 volo_d4_224 85.814 85.874 14.186 14.126 97.486 97.468 2.514 2.532 377.21 192.96 544 224 0.954 0.960 bicubic
35 vit_large_patch16_224 85.838 14.162 97.820 2.180 304.33 224 0.900 bicubic
36 convnext_base_in22ft1k 85.824 14.176 97.866 2.134 88.59 224 0.875 bicubic
37 dm_nfnet_f5 85.816 14.184 97.486 2.514 377.21 544 0.954 bicubic
38 xcit_medium_24_p8_384_dist 85.814 14.186 97.592 2.408 84.32 384 1.000 bicubic
39 convnext_base_in22ft1k vit_base_patch8_224 85.796 85.794 14.204 14.206 97.866 97.794 2.134 2.206 88.59 86.58 224 0.875 0.900 bicubic
40 vit_base_patch8_224 xcit_large_24_p16_384_dist 85.792 85.754 14.208 14.246 97.792 97.538 2.208 2.462 86.58 189.10 224 384 0.900 1.000 bicubic
xcit_large_24_p16_384_dist 85.756 14.244 97.538 2.462 189.10 384 1.000 bicubic
41 dm_nfnet_f4 85.714 14.286 97.522 2.478 316.07 512 0.951 bicubic
42 tf_efficientnetv2_m_in21ft1k 85.592 85.590 14.408 14.410 97.746 97.744 2.254 2.256 54.14 480 1.000 bicubic
43 xcit_small_24_p8_384_dist 85.552 85.556 14.448 14.444 97.572 2.428 47.63 384 1.000 bicubic
44 dm_nfnet_f3 85.524 85.522 14.476 14.478 97.462 2.538 254.92 416 0.940 bicubic
45 tf_efficientnetv2_l 85.490 14.510 97.372 2.628 118.52 480 1.000 bicubic
46 cait_s36_384 85.462 14.538 97.480 2.520 68.37 384 1.000 bicubic
47 ig_resnext101_32x48d 85.436 14.564 97.576 2.424 828.41 224 0.875 bilinear
48 xcit_medium_24_p16_384_dist 85.422 14.578 97.406 2.594 84.40 384 1.000 bicubic
49 deit_base_distilled_patch16_384 85.422 14.578 97.332 2.668 87.63 384 1.000 bicubic
50 xcit_medium_24_p16_384_dist volo_d3_224 85.420 85.412 14.580 14.588 97.406 97.280 2.594 2.720 84.40 86.33 384 224 1.000 0.960 bicubic
51 xcit_large_24_p8_224_dist 85.398 14.602 97.410 2.590 188.93 224 1.000 bicubic
52 tf_efficientnet_b8_ap 85.370 85.372 14.630 14.628 97.292 2.708 87.41 672 0.954 bicubic
53 tf_efficientnet_b8 85.366 85.368 14.634 14.632 97.392 97.390 2.608 2.610 87.41 672 0.954 bicubic
54 swin_base_patch4_window7_224 85.250 85.248 14.750 14.752 97.560 97.562 2.440 2.438 87.77 224 0.900 bicubic
55 beit_base_patch16_224 volo_d1_384 85.228 85.248 14.772 14.752 97.656 97.214 2.344 2.786 86.53 26.78 224 384 0.900 1.000 bicubic
56 beit_base_patch16_224 85.228 14.772 97.658 2.342 86.53 224 0.900 bicubic
57 volo_d2_224 85.194 14.806 97.188 2.812 58.68 224 0.960 bicubic
58 tf_efficientnet_b4_ns 85.162 14.838 97.470 2.530 19.34 380 0.922 bicubic
59 tf_efficientnet_b7_ap 85.120 14.880 97.252 2.748 66.35 600 0.949 bicubic
60 ig_resnext101_32x32d 85.102 85.100 14.898 14.900 97.434 2.566 468.53 224 0.875 bilinear
61 xcit_small_24_p16_384_dist 85.094 14.906 97.310 2.690 47.67 384 1.000 bicubic
62 xcit_small_12_p8_384_dist 85.082 85.080 14.918 14.920 97.280 2.720 26.21 384 1.000 bicubic
63 xcit_medium_24_p8_224_dist 85.068 85.072 14.932 14.928 97.278 97.280 2.722 2.720 84.32 224 1.000 bicubic
64 dm_nfnet_f2 85.064 85.062 14.936 14.938 97.240 2.760 193.78 352 0.920 bicubic
65 cait_s24_384 85.048 85.046 14.952 14.954 97.348 97.346 2.652 2.654 47.06 384 1.000 bicubic
66 tf_efficientnetv2_m 85.036 85.038 14.964 14.962 97.278 2.722 54.14 480 1.000 bicubic
67 regnetz_e8 85.030 14.970 97.264 2.736 57.70 320 1.000 bicubic
68 resnetrs420 85.010 14.990 97.124 2.876 191.89 416 1.000 bicubic
69 ecaresnet269d 84.976 15.024 97.226 2.774 102.09 352 1.000 bicubic
70 vit_base_r50_s16_384 84.972 84.970 15.028 15.030 97.290 2.710 98.95 384 1.000 bicubic
71 tf_efficientnet_b7 84.934 84.936 15.066 15.064 97.206 97.204 2.794 2.796 66.35 600 0.949 bicubic
72 xcit_large_24_p16_224_dist 84.918 84.922 15.082 15.078 97.132 2.868 189.10 224 1.000 bicubic
73 resnetv2_152x4_bitm 84.916 15.084 97.442 2.558 936.53 480 1.000 bilinear
74 xcit_small_24_p8_224_dist 84.874 84.876 15.126 15.124 97.188 2.812 47.63 224 1.000 bicubic
75 efficientnetv2_rw_m 84.810 84.812 15.190 15.188 97.146 2.854 53.24 416 1.000 bicubic
76 tf_efficientnet_b6_ap 84.788 84.786 15.212 15.214 97.138 2.862 43.04 528 0.942 bicubic
77 resnetrs350 84.720 84.718 15.280 15.282 96.988 3.012 163.96 384 1.000 bicubic
78 xcit_small_12_p16_384_dist 84.706 84.710 15.294 15.290 97.118 2.882 26.25 384 1.000 bicubic
79 eca_nfnet_l2 84.696 15.304 97.264 2.736 56.72 384 1.000 bicubic
80 dm_nfnet_f1 84.624 15.376 97.098 97.100 2.902 2.900 132.63 320 0.910 bicubic
81 vit_base_patch16_224 84.526 84.528 15.474 15.472 97.298 97.294 2.702 2.706 86.57 224 0.900 bicubic
82 resnest269e 84.516 84.520 15.484 15.480 96.986 3.014 110.93 416 0.928 bicubic
83 resnetv2_152x2_bitm 84.508 84.506 15.492 15.494 97.434 2.566 236.34 448 1.000 bilinear
84 regnetz_040h 84.496 15.504 97.006 2.994 28.94 320 1.000 bicubic
85 resnetv2_101x3_bitm 84.442 15.558 97.382 2.618 387.93 448 1.000 bilinear
86 resnetrs270 resnetrs200 84.434 84.438 15.566 15.562 96.972 97.080 3.028 2.920 129.86 93.21 352 320 1.000 bicubic
87 vit_large_r50_s32_224 resnetrs270 84.430 84.436 15.570 15.564 97.166 96.970 2.834 3.030 328.99 129.86 224 352 0.900 1.000 bicubic
88 vit_large_r50_s32_224 84.424 15.576 97.166 2.834 328.99 224 0.900 bicubic
89 resmlp_big_24_224_in22ft1k 84.394 15.606 97.120 2.880 129.14 224 0.875 bicubic
90 xcit_large_24_p8_224 84.392 84.394 15.608 15.606 96.658 96.656 3.342 3.344 188.93 224 1.000 bicubic
91 seresnet152d 84.358 84.360 15.642 15.640 97.042 97.040 2.958 2.960 66.84 320 1.000 bicubic
92 tf_efficientnetv2_s_in21ft1k 84.298 15.702 97.254 2.746 21.46 384 1.000 bicubic
93 convnext_large 84.296 84.292 15.704 15.708 96.894 3.106 197.77 224 0.875 bicubic
94 swsl_resnext101_32x8d 84.290 15.710 97.180 2.820 88.79 224 0.875 bilinear
95 xcit_medium_24_p16_224_dist 84.280 84.274 15.720 15.726 96.940 3.060 84.40 224 1.000 bicubic
96 vit_base_patch16_224_miil 84.270 84.272 15.730 15.728 96.802 3.198 86.54 224 0.875 bilinear
97 tf_efficientnet_b5_ap 84.256 15.744 96.978 96.976 3.022 3.024 30.39 456 0.934 bicubic
98 xcit_small_12_p8_224_dist 84.232 84.236 15.768 15.764 96.872 96.874 3.128 3.126 26.21 224 1.000 bicubic
99 crossvit_18_dagger_408 regnetz_040 84.192 84.234 15.808 15.766 96.818 96.932 3.182 3.068 44.61 27.12 408 320 1.000 bicubic
100 ig_resnext101_32x16d seresnext101_32x8d 84.172 84.204 15.828 15.796 97.198 96.876 2.802 3.124 194.03 93.57 224 288 0.875 1.000 bilinear bicubic
101 pit_b_distilled_224 crossvit_18_dagger_408 84.142 84.194 15.858 15.806 96.856 96.818 3.144 3.182 74.79 44.61 224 408 0.900 1.000 bicubic
102 tf_efficientnet_b6 ig_resnext101_32x16d 84.108 84.170 15.892 15.830 96.886 97.198 3.114 2.802 43.04 194.03 528 224 0.942 0.875 bicubic bilinear
103 resnetrs200 volo_d1_224 84.066 84.162 15.934 15.838 96.874 96.776 3.126 3.224 93.21 26.63 320 224 1.000 0.960 bicubic
104 cait_xs24_384 pit_b_distilled_224 84.062 84.140 15.938 15.860 96.888 96.856 3.112 3.144 26.67 74.79 384 224 1.000 0.900 bicubic
105 tf_efficientnet_b6 84.110 15.890 96.888 3.112 43.04 528 0.942 bicubic
106 cait_xs24_384 84.062 15.938 96.890 3.110 26.67 384 1.000 bicubic
107 regnetz_d8_evos 84.054 15.946 96.996 3.004 23.46 320 0.950 bicubic
108 regnetz_d8 84.052 15.948 96.994 3.006 23.37 320 1.000 bicubic
109 tf_efficientnet_b3_ns 84.048 15.952 96.908 3.092 12.23 300 0.904 bicubic
110 vit_small_r26_s32_384 84.046 84.042 15.954 15.958 97.330 97.328 2.670 2.672 36.47 384 1.000 bicubic
111 regnetz_d32 84.022 15.978 96.866 3.134 27.58 320 0.950 bicubic
112 resnetv2_50x3_bitm 84.014 15.986 97.124 2.876 217.32 448 1.000 bilinear
113 eca_nfnet_l1 84.012 15.988 97.028 2.972 41.41 320 1.000 bicubic
114 resnet200d 83.962 83.964 16.038 16.036 96.824 3.176 64.69 320 1.000 bicubic
115 swin_s3_base_224 83.932 16.068 96.660 3.340 71.13 224 0.900 bicubic
116 regnety_080 83.926 16.074 96.888 3.112 39.18 288 1.000 bicubic
117 tf_efficientnetv2_s 83.886 16.114 96.696 3.304 21.46 384 1.000 bicubic
118 xcit_small_24_p16_224_dist 83.862 83.868 16.138 16.132 96.724 3.276 47.67 224 1.000 bicubic
119 resnetv2_152x2_bit_teacher_384 83.844 16.156 97.118 2.882 236.34 384 1.000 bicubic
120 xcit_small_24_p8_224 convnext_base 83.842 83.838 16.158 16.162 96.636 96.750 3.364 3.250 47.63 88.59 224 1.000 0.875 bicubic
121 crossvit_15_dagger_408 xcit_small_24_p8_224 83.832 83.838 16.168 16.162 96.784 96.636 3.216 3.364 28.50 47.63 408 224 1.000 bicubic
122 resnest200e crossvit_15_dagger_408 83.830 83.836 16.170 16.164 96.894 96.784 3.106 3.216 70.20 28.50 320 408 0.909 1.000 bicubic
123 convnext_base resnest200e 83.816 83.828 16.184 16.172 96.768 96.892 3.232 3.108 88.59 70.20 224 320 0.875 0.909 bicubic
124 tf_efficientnet_b5 83.812 16.188 96.748 3.252 30.39 456 0.934 bicubic
125 efficientnetv2_rw_s 83.810 16.190 96.722 3.278 23.94 384 1.000 bicubic
126 vit_small_patch16_384 83.806 83.804 16.194 16.196 97.100 97.102 2.900 2.898 22.20 384 1.000 bicubic
127 xcit_tiny_24_p8_384_dist swin_s3_small_224 83.748 83.768 16.252 16.232 96.710 96.452 3.290 3.548 12.11 49.74 384 224 1.000 0.900 bicubic
128 xcit_tiny_24_p8_384_dist 83.742 16.258 96.710 3.290 12.11 384 1.000 bicubic
129 xcit_medium_24_p8_224 83.736 16.264 96.394 3.606 84.32 224 1.000 bicubic
130 resnetrs152 regnety_064 83.712 83.720 16.288 16.280 96.614 96.722 3.386 3.278 86.62 30.58 320 288 1.000 bicubic
131 regnety_160 resnetrs152 83.686 83.714 16.314 16.286 96.776 96.614 3.224 3.386 83.59 86.62 288 320 1.000 bicubic
132 regnetv_064 83.714 16.286 96.746 3.254 30.58 288 1.000 bicubic
133 regnety_160 83.690 16.310 96.776 3.224 83.59 288 1.000 bicubic
134 twins_svt_large 83.680 16.320 96.594 3.406 99.27 224 0.900 bicubic
135 resnet152d 83.674 83.678 16.326 16.322 96.738 3.262 60.21 320 1.000 bicubic
136 resmlp_big_24_distilled_224 83.588 16.412 96.648 3.352 129.14 224 0.875 bicubic
137 jx_nest_base 83.554 83.556 16.446 16.444 96.364 96.362 3.636 3.638 67.72 224 0.875 bicubic
138 cait_s24_224 83.458 16.542 96.564 3.436 46.92 224 1.000 bicubic
139 efficientnet_b4 83.424 16.576 96.596 3.404 19.34 384 1.000 bicubic
140 deit_base_distilled_patch16_224 83.390 83.392 16.610 16.608 96.486 3.514 87.34 224 0.900 bicubic
141 dm_nfnet_f0 83.386 16.614 96.574 3.426 71.49 256 0.900 bicubic
142 swsl_resnext101_32x16d 83.356 83.350 16.644 16.650 96.842 96.844 3.158 3.156 194.03 224 0.875 bilinear
143 xcit_small_12_p16_224_dist 83.348 83.350 16.652 16.650 96.414 3.586 26.25 224 1.000 bicubic
144 vit_base_patch32_384 83.348 16.652 96.836 96.834 3.164 3.166 88.30 384 1.000 bicubic
145 xcit_small_12_p8_224 83.344 16.656 96.480 3.520 26.21 224 1.000 bicubic
146 tf_efficientnet_b4_ap 83.252 16.748 96.394 3.606 19.34 380 0.922 bicubic
147 swsl_resnext101_32x4d 83.236 16.764 96.764 3.236 44.18 224 0.875 bilinear
148 swin_small_patch4_window7_224 83.214 83.216 16.786 16.784 96.324 3.676 49.61 224 0.900 bicubic
149 twins_pcpvt_large regnetv_040 83.136 83.200 16.864 16.800 96.602 96.662 3.398 3.338 60.99 20.64 224 288 0.900 1.000 bicubic
150 twins_svt_base xception65 83.136 83.180 16.864 16.820 96.420 96.592 3.580 3.408 56.07 39.92 224 299 0.900 0.940 bicubic
151 convnext_small 83.126 83.150 16.874 16.850 96.424 96.432 3.576 3.568 50.22 224 0.875 bicubic
152 jx_nest_small resnext101_64x4d 83.120 83.140 16.880 16.860 96.328 96.370 3.672 3.630 38.35 83.46 224 288 0.875 1.000 bicubic
153 deit_base_patch16_384 twins_svt_base 83.106 83.138 16.894 16.862 96.370 96.420 3.630 3.580 86.86 56.07 384 224 1.000 0.900 bicubic
154 tresnet_m twins_pcpvt_large 83.072 83.134 16.928 16.866 96.118 96.604 3.882 3.396 31.39 60.99 224 0.875 0.900 bilinear bicubic
155 xception65p 83.126 16.874 96.478 3.522 39.82 299 0.940 bicubic
156 jx_nest_small 83.118 16.882 96.330 3.670 38.35 224 0.875 bicubic
157 deit_base_patch16_384 83.106 16.894 96.368 3.632 86.86 384 1.000 bicubic
158 tresnet_m 83.070 16.930 96.120 3.880 31.39 224 0.875 bilinear
159 tresnet_xl_448 83.054 16.946 96.172 3.828 78.44 448 0.875 bilinear
160 regnety_040 83.036 16.964 96.506 3.494 20.65 288 1.000 bicubic
161 tf_efficientnet_b4 83.024 16.976 96.300 3.700 19.34 380 0.922 bicubic
162 resnet101d 83.022 16.978 96.446 96.448 3.554 3.552 44.57 320 1.000 bicubic
163 xcit_large_24_p16_224 82.892 82.894 17.108 17.106 95.878 95.882 4.122 4.118 189.10 224 1.000 bicubic
164 resnest101e 82.888 82.890 17.112 17.110 96.320 96.318 3.680 3.682 48.28 256 0.875 bilinear
165 resnetv2_152x2_bit_teacher 82.872 17.128 96.570 3.430 236.34 224 0.875 bicubic
166 resnetv2_50x1_bit_distilled 82.828 82.822 17.172 17.178 96.526 96.528 3.474 3.472 25.55 224 0.875 bicubic
167 resnet152 82.824 82.820 17.176 17.180 96.134 96.130 3.866 3.870 60.19 224 0.950 bicubic
168 pnasnet5large 82.788 82.790 17.212 17.210 96.040 3.960 86.06 331 0.911 bicubic
169 nfnet_l0 82.752 17.248 96.518 3.482 35.07 288 1.000 bicubic
170 regnety_032 82.726 17.274 96.424 3.576 19.44 288 1.000 bicubic
171 twins_pcpvt_base 82.704 82.708 17.296 17.292 96.348 96.350 3.652 3.650 43.83 224 0.900 bicubic
172 ig_resnext101_32x8d 82.698 82.700 17.302 17.300 96.632 96.630 3.368 3.370 88.79 224 0.875 bilinear
173 xcit_medium_24_p16_224 82.638 17.362 95.976 95.974 4.024 4.026 84.40 224 1.000 bicubic
174 regnetz_c16_evos 82.632 17.368 96.476 3.524 13.49 320 0.950 bicubic
175 nasnetalarge 82.626 17.374 96.046 3.954 88.75 331 0.911 bicubic
176 levit_384 82.588 17.412 96.022 3.978 39.13 224 0.900 bicubic
177 xcit_small_24_p16_224 82.582 82.580 17.418 17.420 96.004 96.006 3.996 3.994 47.67 224 1.000 bicubic
178 eca_nfnet_l0 82.578 82.576 17.422 17.424 96.492 96.490 3.508 3.510 24.14 288 1.000 bicubic
179 xcit_tiny_24_p16_384_dist 82.570 82.572 17.430 17.428 96.284 96.288 3.716 3.712 12.12 384 1.000 bicubic
180 xcit_tiny_24_p8_224_dist 82.562 82.564 17.438 17.436 96.168 96.170 3.832 3.830 12.11 224 1.000 bicubic
181 resnet61q 82.526 17.474 96.134 3.866 36.85 288 1.000 bicubic
182 crossvit_18_dagger_240 82.520 17.480 96.072 96.070 3.928 3.930 44.27 240 0.875 bicubic
183 regnetz_c16 82.518 82.516 17.482 17.484 96.360 3.640 13.46 320 0.940 bicubic
184 gc_efficientnetv2_rw_t 82.466 17.534 96.296 3.704 13.68 288 1.000 bicubic
185 pit_b_224 poolformer_m48 82.444 82.462 17.556 17.538 95.712 95.958 4.288 4.042 73.76 73.47 224 0.900 0.950 bicubic
186 crossvit_18_240 pit_b_224 82.400 82.446 17.600 17.554 96.054 95.710 3.946 4.290 43.27 73.76 240 224 0.875 0.900 bicubic
187 xcit_tiny_12_p8_384_dist crossvit_18_240 82.392 82.398 17.608 17.602 96.222 96.058 3.778 3.942 6.71 43.27 384 240 1.000 0.875 bicubic
188 xcit_tiny_12_p8_384_dist 82.394 17.606 96.220 3.780 6.71 384 1.000 bicubic
189 tf_efficientnet_b2_ns 82.380 17.620 96.248 3.752 9.11 260 0.890 bicubic
190 resnet51q 82.362 17.638 96.180 3.820 35.70 288 1.000 bilinear
191 ecaresnet50t 82.348 17.652 96.138 3.862 25.57 320 0.950 bicubic
192 efficientnetv2_rw_t 82.344 17.656 96.196 3.804 13.65 288 1.000 bicubic
193 resnetv2_101x1_bitm 82.334 82.336 17.666 17.664 96.516 3.484 44.54 448 1.000 bilinear
194 crossvit_15_dagger_240 82.326 82.330 17.674 17.670 95.958 4.042 28.21 240 0.875 bicubic
195 coat_lite_small mixer_b16_224_miil 82.310 82.308 17.690 17.692 95.848 95.718 4.152 4.282 19.84 59.88 224 0.900 0.875 bicubic bilinear
196 mixer_b16_224_miil coat_lite_small 82.304 17.696 95.716 95.848 4.284 4.152 59.88 19.84 224 0.875 0.900 bilinear bicubic
197 convit_base resnetrs101 82.294 82.288 17.706 17.712 95.934 96.010 4.066 3.990 86.54 63.62 224 288 0.875 0.940 bicubic
198 resnetrs101 convit_base 82.288 82.286 17.712 17.714 96.008 95.938 3.992 4.062 63.62 86.54 288 224 0.940 0.875 bicubic
199 tresnet_l_448 82.270 82.268 17.730 17.732 95.978 95.982 4.022 4.018 55.99 448 0.875 bilinear
200 efficientnet_b3 82.242 82.240 17.758 17.760 96.114 3.886 12.23 320 1.000 bicubic
201 crossvit_base_240 convnext_tiny_hnf 82.214 82.222 17.786 17.778 95.832 95.866 4.168 4.134 105.03 28.59 240 224 0.875 0.950 bicubic
202 cait_xxs36_384 crossvit_base_240 82.192 82.216 17.808 17.784 96.146 95.834 3.854 4.166 17.37 105.03 384 240 1.000 0.875 bicubic
203 swsl_resnext50_32x4d cait_xxs36_384 82.174 82.194 17.826 17.806 96.232 96.144 3.768 3.856 25.03 17.37 224 384 0.875 1.000 bilinear bicubic
204 ecaresnet101d swsl_resnext50_32x4d 82.172 82.176 17.828 17.824 96.048 96.232 3.952 3.768 44.57 25.03 224 0.875 bicubic bilinear
205 ecaresnet101d 82.172 17.828 96.046 3.954 44.57 224 0.875 bicubic
206 swin_s3_tiny_224 82.126 17.874 95.950 4.050 28.33 224 0.900 bicubic
207 poolformer_m36 82.112 17.888 95.690 4.310 56.17 224 0.950 bicubic
208 visformer_small 82.106 17.894 95.874 4.126 40.22 224 0.900 bicubic
209 convnext_tiny 82.064 17.936 95.834 95.852 4.166 4.148 28.59 224 0.875 bicubic
210 halo2botnet50ts_256 82.062 82.060 17.938 17.940 95.642 4.358 22.64 256 0.950 bicubic
211 tresnet_xl 82.058 17.942 95.936 4.064 78.44 224 0.875 bilinear
212 fbnetv3_g 82.046 17.954 96.064 3.936 16.62 288 0.950 bilinear
213 resnetv2_101 82.042 17.958 95.862 95.864 4.138 4.136 44.54 224 0.950 bicubic
214 pit_s_distilled_224 deit_base_patch16_224 81.996 18.004 95.796 95.732 4.204 4.268 24.04 86.57 224 0.900 bicubic
215 deit_base_patch16_224 pit_s_distilled_224 81.994 18.006 95.734 95.798 4.266 4.202 86.57 24.04 224 0.900 bicubic
216 resnetv2_50d_evos 81.980 18.020 95.910 4.090 25.59 288 0.950 bicubic
217 xcit_small_12_p16_224 81.976 18.024 95.818 4.182 26.25 224 1.000 bicubic
218 tf_efficientnetv2_b3 81.968 81.966 18.032 18.034 95.780 4.220 14.36 300 0.904 bicubic
219 resnet101 xception41p 81.932 81.960 18.068 18.040 95.766 95.794 4.234 4.206 44.55 26.91 224 299 0.950 0.940 bicubic
220 xcit_tiny_24_p8_224 resnet101 81.892 81.932 18.108 18.068 95.978 95.770 4.022 4.230 12.11 44.55 224 1.000 0.950 bicubic
221 xcit_tiny_24_p8_224 81.892 18.108 95.976 4.024 12.11 224 1.000 bicubic
222 vit_small_r26_s32_224 81.856 18.144 96.020 3.980 36.43 224 0.900 bicubic
223 ssl_resnext101_32x16d 81.854 18.146 96.094 96.096 3.906 3.904 194.03 224 0.875 bilinear
224 tf_efficientnet_b3_ap 81.826 18.174 95.624 95.622 4.376 4.378 12.23 300 0.904 bicubic
225 tresnet_m_448 resnetv2_50d_gn 81.704 81.818 18.296 18.182 95.574 95.922 4.426 4.078 31.39 25.57 448 288 0.875 0.950 bilinear bicubic
226 twins_svt_small tresnet_m_448 81.684 81.704 18.316 18.296 95.672 95.572 4.328 4.428 24.06 31.39 224 448 0.900 0.875 bicubic bilinear
227 halonet50ts twins_svt_small 81.658 81.680 18.342 18.320 95.610 95.670 4.390 4.330 22.73 24.06 256 224 0.940 0.900 bicubic
228 halonet50ts 81.660 18.340 95.612 4.388 22.73 256 0.940 bicubic
229 tf_efficientnet_b3 81.636 18.364 95.718 4.282 12.23 300 0.904 bicubic
230 rexnet_200 81.628 81.630 18.372 18.370 95.668 4.332 16.37 224 0.875 bicubic
231 ssl_resnext101_32x8d 81.608 18.392 96.042 3.958 88.79 224 0.875 bilinear
232 lamhalobotnet50ts_256 81.550 81.546 18.450 18.454 95.502 4.498 22.57 256 0.950 bicubic
233 crossvit_15_240 81.544 81.542 18.456 18.458 95.688 95.690 4.312 4.310 27.53 240 0.875 bicubic
234 tf_efficientnet_lite4 81.536 18.464 95.668 4.332 13.01 380 0.920 bilinear
235 tnt_s_patch16_224 81.516 81.520 18.484 18.480 95.746 95.744 4.254 4.256 23.76 224 0.900 bicubic
vit_large_patch32_384 81.510 18.490 96.094 3.906 306.63 384 1.000 bicubic
236 levit_256 81.506 18.494 95.492 4.508 18.89 224 0.900 bicubic
237 tresnet_l vit_large_patch32_384 81.490 81.506 18.510 18.494 95.624 96.094 4.376 3.906 55.99 306.63 224 384 0.875 1.000 bilinear bicubic
238 tresnet_l 81.492 18.508 95.624 4.376 55.99 224 0.875 bilinear
239 wide_resnet50_2 81.452 18.548 95.530 4.470 68.88 224 0.875 bicubic
240 convit_small 81.424 81.420 18.576 18.580 95.742 95.740 4.258 4.260 27.78 224 0.875 bicubic
241 jx_nest_tiny 81.422 81.420 18.578 18.580 95.616 95.618 4.384 4.382 17.06 224 0.875 bicubic
242 vit_small_patch16_224 poolformer_s36 81.396 81.418 18.604 18.582 96.134 95.450 3.866 4.550 22.05 30.86 224 0.900 bicubic
243 tf_efficientnet_b1_ns vit_small_patch16_224 81.386 81.396 18.614 18.604 95.736 96.132 4.264 3.868 7.79 22.05 240 224 0.882 0.900 bicubic
244 swin_tiny_patch4_window7_224 tf_efficientnet_b1_ns 81.374 81.388 18.626 18.612 95.542 95.736 4.458 4.264 28.29 7.79 224 240 0.900 0.882 bicubic
245 swin_tiny_patch4_window7_224 81.374 18.626 95.544 4.456 28.29 224 0.900 bicubic
246 convmixer_1536_20 81.366 18.634 95.614 4.386 51.63 224 0.960 bicubic
247 gernet_l 81.346 81.344 18.654 18.656 95.532 4.468 31.08 256 0.875 bilinear
248 legacy_senet154 efficientnet_el 81.310 18.690 95.490 95.530 4.510 4.470 115.09 10.59 224 300 0.875 0.904 bilinear bicubic
249 efficientnet_el legacy_senet154 81.306 81.310 18.694 18.690 95.526 95.496 4.474 4.504 10.59 115.09 300 224 0.904 0.875 bicubic bilinear
250 coat_mini 81.264 81.266 18.736 18.734 95.394 4.606 10.34 224 0.900 bicubic
251 seresnext50_32x4d 81.258 18.742 95.628 95.630 4.372 4.370 27.56 224 0.875 bicubic
252 gluon_senet154 81.232 18.768 95.348 4.652 115.09 224 0.875 bicubic
253 xcit_tiny_12_p8_224_dist deit_small_distilled_patch16_224 81.208 18.792 95.602 95.374 4.398 4.626 6.71 22.44 224 1.000 0.900 bicubic
254 deit_small_distilled_patch16_224 xcit_tiny_12_p8_224_dist 81.204 81.208 18.796 18.792 95.378 95.600 4.622 4.400 22.44 6.71 224 0.900 1.000 bicubic
255 swsl_resnet50 81.170 81.174 18.830 18.826 95.978 4.022 25.56 224 0.875 bilinear
256 sebotnet33ts_256 81.156 18.844 95.170 4.830 13.70 256 0.940 bicubic
257 resmlp_36_distilled_224 81.154 18.846 95.488 4.512 44.69 224 0.875 bicubic
258 sebotnet33ts_256 lambda_resnet50ts 81.154 81.146 18.846 18.854 95.168 95.102 4.832 4.898 13.70 21.54 256 0.940 0.950 bicubic
lambda_resnet50ts 81.150 18.850 95.104 4.896 21.54 256 0.950 bicubic
259 resnest50d_4s2x40d 81.110 18.890 95.564 4.436 30.42 224 0.875 bicubic
260 resnext50_32x4d 81.104 81.108 18.896 18.892 95.326 4.674 25.03 224 0.950 bicubic
261 pit_s_224 81.098 81.100 18.902 18.900 95.330 4.670 23.46 224 0.900 bicubic
262 twins_pcpvt_small 81.088 81.090 18.912 18.910 95.640 4.360 24.11 224 0.900 bicubic
263 haloregnetz_b 81.052 81.050 18.948 18.950 95.194 95.196 4.806 4.804 11.68 224 0.940 bicubic
264 resmlp_big_24_224 81.032 18.968 95.020 4.980 129.14 224 0.875 bicubic
265 crossvit_small_240 81.022 81.018 18.978 18.982 95.458 95.456 4.542 4.544 26.86 240 0.875 bicubic
266 gluon_resnet152_v1s 81.022 81.016 18.978 18.984 95.414 95.412 4.586 4.588 60.32 224 0.875 bicubic
267 resnest50d_1s4x24d 80.986 80.990 19.014 19.010 95.320 95.324 4.680 4.676 25.68 224 0.875 bicubic
268 resnest50d 80.978 80.982 19.022 19.018 95.378 95.380 4.622 4.620 27.48 224 0.875 bilinear
269 sehalonet33ts cait_xxs24_384 80.966 19.034 95.272 95.646 4.728 4.354 13.69 12.03 256 384 0.940 1.000 bicubic
270 cait_xxs24_384 sehalonet33ts 80.964 19.036 95.646 95.272 4.354 4.728 12.03 13.69 384 256 1.000 0.940 bicubic
271 xcit_tiny_12_p16_384_dist 80.944 19.056 95.410 95.412 4.590 4.588 6.72 384 1.000 bicubic
272 gcresnet50t 80.938 80.942 19.062 19.058 95.452 95.454 4.548 4.546 25.90 256 0.900 bicubic
273 ssl_resnext101_32x4d 80.926 80.924 19.074 19.076 95.724 95.726 4.276 4.274 44.18 224 0.875 bilinear
274 gluon_seresnext101_32x4d 80.906 19.094 95.296 95.294 4.704 4.706 48.96 224 0.875 bicubic
275 gluon_seresnext101_64x4d 80.878 19.122 95.298 4.702 88.23 224 0.875 bicubic
276 efficientnet_b3_pruned 80.856 80.858 19.144 19.142 95.244 4.756 9.86 300 0.904 bicubic
277 ecaresnet101d_pruned 80.816 80.814 19.184 19.186 95.634 95.630 4.366 4.370 24.88 224 0.875 bicubic
278 regnety_320 80.808 80.810 19.192 19.190 95.244 4.756 145.05 224 0.875 bicubic
279 resmlp_24_distilled_224 80.764 19.236 95.224 4.776 30.02 224 0.875 bicubic
280 gernet_m 80.746 80.744 19.254 19.256 95.184 4.816 21.14 224 0.875 bilinear
281 vit_base_patch32_224 80.722 19.278 95.566 4.434 88.22 224 0.900 bicubic
282 regnetz_b16 80.716 80.714 19.284 19.286 95.478 4.522 9.72 288 0.940 bicubic
283 nf_resnet50 80.654 19.346 95.334 4.666 25.56 288 0.940 bicubic
284 efficientnet_b2 80.612 80.614 19.388 19.386 95.314 95.316 4.686 4.684 9.11 288 1.000 bicubic
285 gluon_resnext101_64x4d 80.604 19.396 94.992 5.008 83.46 224 0.875 bicubic
286 ecaresnet50d 80.602 80.600 19.398 19.400 95.320 4.680 25.58 224 0.875 bicubic
287 gcresnext50ts 80.578 19.422 95.170 4.830 15.67 256 0.900 bicubic
288 resnet50d 80.526 80.522 19.474 19.478 95.162 4.838 25.58 224 0.875 bicubic
289 repvgg_b3 80.496 19.504 95.264 4.736 123.09 224 0.875 bilinear
290 vit_small_patch32_384 80.484 19.516 95.598 95.600 4.402 4.400 22.92 384 1.000 bicubic
291 gluon_resnet152_v1d 80.476 19.524 95.208 95.204 4.792 4.796 60.21 224 0.875 bicubic
292 mixnet_xl 80.476 80.474 19.524 19.526 94.934 5.066 11.90 224 0.875 bicubic
ecaresnetlight 80.462 19.538 95.252 4.748 30.16 224 0.875 bicubic
293 inception_resnet_v2 80.460 19.540 95.308 4.692 55.84 299 0.897 bicubic
294 xcit_tiny_24_p16_224_dist ecaresnetlight 80.448 80.452 19.552 19.548 95.216 95.250 4.784 4.750 12.12 30.16 224 1.000 0.875 bicubic
295 xcit_tiny_24_p16_224_dist 80.446 19.554 95.216 4.784 12.12 224 1.000 bicubic
296 resnetv2_50 80.420 19.580 95.074 4.926 25.55 224 0.950 bicubic
297 gluon_resnet101_v1d 80.416 80.420 19.584 19.580 95.016 4.984 44.57 224 0.875 bicubic
298 resnet50 80.372 80.376 19.628 19.624 94.610 94.616 5.390 5.384 25.56 224 0.950 bicubic
299 regnety_120 80.370 80.376 19.630 19.624 95.124 95.126 4.876 4.874 51.82 224 0.875 bicubic
300 seresnet33ts 80.356 80.350 19.644 19.650 95.108 95.106 4.892 4.894 19.78 256 0.900 bicubic
301 gluon_resnext101_32x4d 80.344 19.656 94.926 5.074 44.18 224 0.875 bicubic
302 resnetv2_50x1_bitm 80.342 19.658 95.680 4.320 25.55 448 1.000 bilinear
gluon_resnext101_32x4d 80.340 19.660 94.926 5.074 44.18 224 0.875 bicubic
303 ssl_resnext50_32x4d 80.316 19.684 95.410 4.590 25.03 224 0.875 bilinear
304 poolformer_s24 80.314 19.686 95.046 4.954 21.39 224 0.900 bicubic
305 rexnet_150 80.310 19.690 95.166 4.834 9.73 224 0.875 bicubic
efficientnet_el_pruned 80.302 19.698 95.218 4.782 10.59 300 0.904 bicubic
gluon_resnet101_v1s 80.302 19.698 95.160 4.840 44.67 224 0.875 bicubic
306 tf_efficientnet_b2_ap 80.302 19.698 95.028 4.972 9.11 260 0.890 bicubic
307 efficientnet_el_pruned 80.302 19.698 95.216 4.784 10.59 300 0.904 bicubic
308 gluon_resnet101_v1s 80.298 19.702 95.164 4.836 44.67 224 0.875 bicubic
309 seresnet50 80.264 19.736 95.072 4.928 28.09 224 0.875 bicubic
310 tf_efficientnet_el 80.250 19.750 95.130 95.122 4.870 4.878 10.59 300 0.904 bicubic
311 vit_base_patch16_224_sam 80.242 19.758 94.756 94.754 5.244 5.246 86.57 224 0.900 bicubic
312 regnetx_320 80.240 19.760 95.022 4.978 107.81 224 0.875 bicubic
313 legacy_seresnext101_32x4d 80.228 80.224 19.772 19.776 95.014 95.010 4.986 4.990 48.96 224 0.875 bilinear
314 repvgg_b3g4 80.212 19.788 95.106 4.894 83.83 224 0.875 bilinear
315 tf_efficientnetv2_b2 80.206 19.794 95.042 4.958 10.10 260 0.890 bicubic
316 dpn107 80.172 19.828 94.906 5.094 86.92 224 0.875 bicubic
inception_v4 80.170 19.830 94.970 5.030 42.68 299 0.875 bicubic
317 convmixer_768_32 80.164 19.836 95.072 4.928 21.11 224 0.960 bicubic
318 inception_v4 80.162 19.838 94.966 5.034 42.68 299 0.875 bicubic
319 skresnext50_32x4d 80.152 19.848 94.644 5.356 27.48 224 0.875 bicubic
320 eca_resnet33ts 80.084 80.080 19.916 19.920 94.970 5.030 19.68 256 0.900 bicubic
321 gcresnet33ts 80.084 80.080 19.916 19.920 95.000 5.000 19.88 256 0.900 bicubic
322 tf_efficientnet_b2 80.080 19.920 94.908 5.092 9.11 260 0.890 bicubic
323 cspdarknet53 80.062 19.938 95.084 4.916 27.64 256 0.887 bilinear
324 resnet50_gn 80.052 80.054 19.948 19.946 94.946 94.948 5.054 5.052 25.56 224 0.940 bicubic
325 cspresnext50 80.050 19.950 94.946 5.054 20.57 224 0.875 bilinear
326 dpn92 80.016 19.984 94.828 94.824 5.172 5.176 37.67 224 0.875 bicubic
327 ens_adv_inception_resnet_v2 79.980 79.978 20.020 20.022 94.938 5.062 55.84 299 0.897 bicubic
328 efficientnet_b2_pruned 79.916 20.084 94.854 5.146 8.31 260 0.890 bicubic
329 gluon_seresnext50_32x4d 79.916 79.914 20.084 20.086 94.834 94.832 5.166 5.168 27.56 224 0.875 bicubic
330 gluon_resnet152_v1c 79.912 79.908 20.088 20.092 94.848 5.152 60.21 224 0.875 bicubic
331 resnetrs50 79.890 79.886 20.110 20.114 94.966 5.034 35.69 224 0.910 bicubic
332 regnety_080 xception71 79.880 79.876 20.120 20.124 94.830 94.922 5.170 5.078 39.18 42.34 224 299 0.875 0.903 bicubic
333 xception71 deit_small_patch16_224 79.872 79.860 20.128 20.140 94.922 95.046 5.078 4.954 42.34 22.05 299 224 0.903 0.900 bicubic
334 deit_small_patch16_224 regnetx_160 79.866 79.850 20.134 20.150 95.046 94.830 4.954 5.170 22.05 54.28 224 0.900 0.875 bicubic
335 ecaresnet26t 79.848 20.152 95.084 95.086 4.916 4.914 16.01 320 0.950 bicubic
regnetx_160 79.848 20.152 94.830 5.170 54.28 224 0.875 bicubic
336 levit_192 79.832 20.168 94.786 5.214 10.95 224 0.900 bicubic
337 dpn131 79.824 20.176 94.708 5.292 79.25 224 0.875 bicubic
338 tf_efficientnet_lite3 79.818 79.820 20.182 20.180 94.914 94.912 5.086 5.088 8.20 300 0.904 bilinear
339 resmlp_36_224 79.768 20.232 94.886 5.114 44.69 224 0.875 bicubic
340 cait_xxs36_224 79.750 79.748 20.250 20.252 94.870 94.866 5.130 5.134 17.30 224 1.000 bicubic
regnety_064 79.720 20.280 94.764 5.236 30.58 224 0.875 bicubic
341 gluon_xception65 79.716 20.284 94.860 5.140 39.92 299 0.903 bicubic
342 ecaresnet50d_pruned 79.710 79.708 20.290 20.292 94.880 5.120 19.94 224 0.875 bicubic
343 xcit_tiny_12_p8_224 79.694 79.690 20.306 20.310 95.054 4.946 6.71 224 1.000 bicubic
344 fbnetv3_d 79.682 20.318 94.950 94.948 5.050 5.052 10.31 256 0.950 bilinear
345 gluon_resnet152_v1b 79.676 79.680 20.324 20.320 94.738 5.262 60.19 224 0.875 bicubic
346 resnext50d_32x4d 79.670 20.330 94.864 5.136 25.05 224 0.875 bicubic
347 dpn98 79.644 79.646 20.356 20.354 94.598 94.596 5.402 5.404 61.57 224 0.875 bicubic
348 gmlp_s16_224 79.642 79.640 20.358 20.360 94.624 5.376 19.42 224 0.875 bicubic
349 regnetx_120 79.592 20.408 94.734 5.266 46.11 224 0.875 bicubic
350 cspresnet50 79.580 79.582 20.420 20.418 94.704 5.296 21.62 256 0.887 bilinear
351 xception65 gluon_resnet101_v1c 79.548 79.534 20.452 20.466 94.656 94.580 5.344 5.420 39.92 44.57 299 224 0.903 0.875 bicubic
352 gluon_resnet101_v1c rexnet_130 79.532 79.500 20.468 20.500 94.580 94.684 5.420 5.316 44.57 7.56 224 0.875 bicubic
353 rexnet_130 eca_halonext26ts 79.500 79.490 20.500 20.510 94.682 94.598 5.318 5.402 7.56 10.76 224 256 0.875 0.940 bicubic
354 eca_halonext26ts hrnet_w64 79.488 79.472 20.512 20.528 94.596 94.652 5.404 5.348 10.76 128.06 256 224 0.940 0.875 bicubic bilinear
355 hrnet_w64 tf_efficientnetv2_b1 79.468 79.464 20.532 20.536 94.654 94.724 5.346 5.276 128.06 8.14 224 240 0.875 0.882 bilinear bicubic
356 tf_efficientnetv2_b1 dla102x2 79.462 79.446 20.538 20.554 94.726 94.632 5.274 5.368 8.14 41.28 240 224 0.882 0.875 bicubic bilinear
357 dla102x2 xcit_tiny_24_p16_224 79.450 79.444 20.550 20.556 94.634 94.884 5.366 5.116 41.28 12.12 224 0.875 1.000 bilinear bicubic
xcit_tiny_24_p16_224 79.448 20.552 94.886 5.114 12.12 224 1.000 bicubic
358 resmlp_24_224 79.382 20.618 94.546 5.454 30.02 224 0.875 bicubic
359 repvgg_b2g4 79.370 20.630 94.686 94.688 5.314 5.312 61.76 224 0.875 bilinear
360 gluon_resnext50_32x4d 79.368 79.364 20.632 20.636 94.426 5.574 25.03 224 0.875 bicubic
361 resnext101_32x8d 79.316 20.684 94.518 5.482 88.79 224 0.875 bilinear
362 ese_vovnet39b 79.310 79.312 20.690 20.688 94.716 94.714 5.284 5.286 24.57 224 0.875 bicubic
363 resnetblur50 pit_xs_distilled_224 79.308 79.306 20.692 20.694 94.634 94.364 5.366 5.636 25.56 11.00 224 0.875 0.900 bicubic
364 tf_efficientnet_cc_b1_8e 79.306 20.694 94.370 94.372 5.630 5.628 39.72 240 0.882 bicubic
365 gluon_resnet101_v1b resnetblur50 79.304 20.696 94.522 94.634 5.478 5.366 44.55 25.56 224 0.875 bicubic
366 pit_xs_distilled_224 gluon_resnet101_v1b 79.304 79.302 20.696 20.698 94.366 94.520 5.634 5.480 11.00 44.55 224 0.900 0.875 bicubic
367 hrnet_w48 79.300 79.302 20.700 20.698 94.512 5.488 77.47 224 0.875 bilinear
368 nf_regnet_b1 79.288 20.712 94.750 94.748 5.250 5.252 10.22 288 0.900 bicubic
369 tf_efficientnet_b1_ap 79.278 79.280 20.722 20.720 94.306 94.304 5.694 5.696 7.79 240 0.882 bicubic
370 eca_botnext26ts_256 79.272 79.274 20.728 20.726 94.616 5.384 10.59 256 0.950 bicubic
371 botnet26t_256 79.252 20.748 94.528 5.472 12.49 256 0.950 bicubic
372 efficientnet_em 79.250 20.750 94.796 94.794 5.204 5.206 6.90 240 0.882 bicubic
373 ssl_resnet50 79.220 79.226 20.780 20.774 94.832 94.836 5.168 5.164 25.56 224 0.875 bilinear
374 regnety_040 dpn68b 79.216 79.220 20.784 20.780 94.656 94.418 5.344 5.582 20.65 12.61 224 0.875 bicubic
375 dpn68b resnet33ts 79.214 79.210 20.786 20.790 94.414 94.572 5.586 5.428 12.61 19.68 224 256 0.875 0.900 bicubic
376 resnet33ts regnetx_080 79.212 79.202 20.788 20.798 94.572 94.554 5.428 5.446 19.68 39.57 256 224 0.900 0.875 bicubic
377 regnetx_080 res2net101_26w_4s 79.200 79.196 20.800 20.804 94.552 94.436 5.448 5.564 39.57 45.21 224 0.875 bicubic bilinear
378 res2net101_26w_4s fbnetv3_b 79.198 79.148 20.802 20.852 94.438 94.746 5.562 5.254 45.21 8.60 224 256 0.875 0.950 bilinear
379 fbnetv3_b halonet26t 79.150 79.116 20.850 20.884 94.746 94.310 5.254 5.690 8.60 12.48 256 0.950 bilinear bicubic
380 halonet26t lambda_resnet26t 79.116 79.098 20.884 20.902 94.312 94.588 5.688 5.412 12.48 10.96 256 0.950 0.940 bicubic
381 lambda_resnet26t coat_lite_mini 79.096 20.904 94.588 94.604 5.412 5.396 10.96 11.01 256 224 0.940 0.900 bicubic
382 coat_lite_mini gluon_resnet50_v1d 79.092 79.076 20.908 20.924 94.606 94.472 5.394 5.528 11.01 25.58 224 0.900 0.875 bicubic
383 gluon_resnet50_v1d legacy_seresnext50_32x4d 79.076 79.068 20.924 20.932 94.470 94.434 5.530 5.566 25.58 27.56 224 0.875 bicubic bilinear
legacy_seresnext50_32x4d 79.070 20.930 94.432 5.568 27.56 224 0.875 bilinear
384 regnetx_064 79.066 20.934 94.458 5.542 26.21 224 0.875 bicubic
385 xception 79.048 79.050 20.952 20.950 94.392 5.608 22.86 299 0.897 bicubic
386 resnet32ts 79.014 79.012 20.986 20.988 94.356 94.358 5.644 5.642 17.96 256 0.900 bicubic
387 res2net50_26w_8s 78.976 78.980 21.024 21.020 94.294 5.706 48.40 224 0.875 bilinear
388 mixnet_l 78.976 21.024 94.178 5.822 7.33 224 0.875 bicubic
389 lambda_resnet26rpt_256 78.968 21.032 94.428 5.572 10.99 256 0.940 bicubic
390 hrnet_w40 78.916 21.084 94.474 5.526 57.56 224 0.875 bilinear
391 hrnet_w44 78.900 21.100 94.372 94.374 5.628 5.626 67.06 224 0.875 bilinear
392 wide_resnet101_2 78.852 78.854 21.148 21.146 94.288 94.290 5.712 5.710 126.89 224 0.875 bilinear
393 tf_efficientnet_b1 78.820 78.828 21.180 21.172 94.196 94.198 5.804 5.802 7.79 240 0.882 bicubic
394 gluon_inception_v3 78.806 78.804 21.194 21.196 94.372 94.370 5.628 5.630 23.83 299 0.875 bicubic
395 efficientnet_b1 78.796 21.204 94.342 5.658 7.79 256 1.000 bicubic
396 repvgg_b2 78.792 21.208 94.418 5.582 89.02 224 0.875 bilinear
efficientnet_b1 78.790 21.210 94.342 5.658 7.79 256 1.000 bicubic
397 tf_mixnet_l 78.774 21.226 93.996 6.004 7.33 224 0.875 bicubic
398 gluon_resnet50_v1s 78.708 78.712 21.292 21.288 94.240 5.760 25.68 224 0.875 bicubic
399 dla169 78.694 78.692 21.306 21.308 94.336 94.340 5.664 5.660 53.39 224 0.875 bilinear
400 tf_efficientnet_b0_ns 78.658 21.342 94.376 94.378 5.624 5.622 5.29 224 0.875 bicubic
401 legacy_seresnet152 78.656 78.652 21.344 21.348 94.368 94.370 5.632 5.630 66.82 224 0.875 bilinear
402 xcit_tiny_12_p16_224_dist 78.574 78.576 21.426 21.424 94.198 94.196 5.802 5.804 6.72 224 1.000 bicubic
403 res2net50_26w_6s 78.566 21.434 94.134 5.866 37.05 224 0.875 bilinear
404 dla102x 78.514 78.516 21.486 21.484 94.224 94.226 5.776 5.774 26.31 224 0.875 bilinear
405 xception41 78.508 78.510 21.492 21.490 94.280 94.278 5.720 5.722 26.97 299 0.903 bicubic
406 levit_128 78.486 78.492 21.514 21.508 94.006 5.994 9.21 224 0.900 bicubic
resnest26d 78.484 21.516 94.294 5.706 17.07 224 0.875 bilinear
407 regnetx_040 78.482 21.518 94.244 5.756 22.12 224 0.875 bicubic
408 resnest26d 78.476 21.524 94.292 5.708 17.07 224 0.875 bilinear
409 dla60_res2net 78.462 21.538 94.206 5.794 20.85 224 0.875 bilinear
410 hrnet_w32 78.446 78.448 21.554 21.552 94.188 94.194 5.812 5.806 41.23 224 0.875 bilinear
411 dla60_res2next 78.442 78.440 21.558 21.560 94.150 5.850 17.03 224 0.875 bilinear
412 vit_tiny_patch16_384 78.432 78.434 21.568 21.566 94.542 5.458 5.79 384 1.000 bicubic
413 coat_tiny 78.428 78.430 21.572 21.570 94.038 94.040 5.962 5.960 5.50 224 0.900 bicubic
414 selecsls60b 78.412 21.588 94.170 94.174 5.830 5.826 32.77 224 0.875 bicubic
415 legacy_seresnet101 78.388 21.612 94.266 94.264 5.734 5.736 49.33 224 0.875 bilinear
416 cait_xxs24_224 78.384 21.616 94.310 5.690 11.96 224 1.000 bicubic
417 repvgg_b1 78.368 21.632 94.096 5.904 57.42 224 0.875 bilinear
418 tf_efficientnetv2_b0 78.360 21.640 94.024 94.020 5.976 5.980 7.14 224 0.875 bicubic
419 tv_resnet152 78.320 78.316 21.680 21.684 94.036 94.034 5.964 5.966 60.19 224 0.875 bilinear
420 mobilevit_s 78.312 21.688 94.152 5.848 5.58 256 0.900 bicubic
421 res2next50 78.252 21.748 93.886 6.114 24.67 224 0.875 bilinear
422 bat_resnext26ts 78.250 21.750 94.098 5.902 10.73 256 0.900 bicubic
423 res2next50 dla60x 78.250 78.244 21.750 21.756 93.886 94.018 6.114 5.982 24.67 17.35 224 0.875 bilinear
424 dla60x efficientnet_b1_pruned 78.246 78.240 21.754 21.760 94.020 93.834 5.980 6.166 17.35 6.33 224 240 0.875 0.882 bilinear bicubic
efficientnet_b1_pruned 78.240 21.760 93.832 6.168 6.33 240 0.882 bicubic
425 hrnet_w30 78.198 21.802 94.224 5.776 37.71 224 0.875 bilinear
426 pit_xs_224 78.188 78.186 21.812 21.814 94.166 94.164 5.834 5.836 10.62 224 0.900 bicubic
427 regnetx_032 78.172 21.828 94.088 5.912 15.30 224 0.875 bicubic
428 res2net50_14w_8s 78.144 21.856 93.850 93.848 6.150 6.152 25.06 224 0.875 bilinear
429 tf_efficientnet_em 78.132 21.868 94.046 94.044 5.954 5.956 6.90 240 0.882 bicubic
430 hardcorenas_f 78.098 21.902 93.804 93.802 6.196 6.198 8.20 224 0.875 bilinear
431 efficientnet_es 78.060 78.056 21.940 21.944 93.938 93.936 6.062 6.064 5.44 224 0.875 bicubic
432 gmixer_24_224 78.038 78.036 21.962 21.964 93.670 6.330 24.72 224 0.875 bicubic
433 dla102 78.028 78.030 21.972 21.970 93.950 93.948 6.050 6.052 33.27 224 0.875 bilinear
434 gluon_resnet50_v1c 78.010 78.012 21.990 21.988 93.988 93.990 6.012 6.010 25.58 224 0.875 bicubic
435 seresnext26t_32x4d 77.976 22.024 93.744 93.746 6.256 6.254 16.81 224 0.875 bicubic
436 selecsls60 77.974 77.976 22.026 22.024 93.832 93.830 6.168 6.170 30.67 224 0.875 bicubic
437 res2net50_26w_4s 77.956 77.960 22.044 22.040 93.852 6.148 25.70 224 0.875 bilinear
438 resmlp_12_distilled_224 77.942 22.058 93.558 6.442 15.35 224 0.875 bicubic
439 mobilenetv3_large_100_miil 77.918 77.916 22.082 22.084 92.906 7.094 5.48 224 0.875 bilinear
440 tf_efficientnet_cc_b0_8e 77.908 77.906 22.092 22.094 93.656 6.344 24.01 224 0.875 bicubic
441 resnet26t 77.864 77.862 22.136 22.138 93.846 93.844 6.154 6.156 16.01 256 0.940 bicubic
442 regnety_016 77.860 22.140 93.722 6.278 11.20 224 0.875 bicubic
443 rexnet_100 77.858 22.142 93.870 6.130 4.80 224 0.875 bicubic
444 tf_inception_v3 77.854 77.856 22.146 22.144 93.638 93.640 6.362 6.360 23.83 299 0.875 bicubic
445 seresnext26ts 77.852 22.148 93.790 6.210 10.39 256 0.900 bicubic
446 gcresnext26ts 77.820 22.180 93.832 93.830 6.168 6.170 10.48 256 0.900 bicubic
447 xcit_nano_12_p8_384_dist 77.818 22.182 94.044 5.956 3.05 384 1.000 bicubic
448 hardcorenas_e 77.792 77.794 22.208 22.206 93.698 93.696 6.302 6.304 8.07 224 0.875 bilinear
449 efficientnet_b0 77.694 77.690 22.306 22.310 93.534 93.530 6.466 6.470 5.29 224 0.875 bicubic
450 tinynet_a 77.652 77.650 22.348 22.350 93.538 93.536 6.462 6.464 6.19 192 0.875 bicubic
451 legacy_seresnet50 77.632 77.630 22.368 22.370 93.752 93.750 6.248 6.250 28.09 224 0.875 bilinear
452 tv_resnext50_32x4d 77.618 77.616 22.382 22.384 93.696 93.700 6.304 6.300 25.03 224 0.875 bilinear
453 seresnext26d_32x4d 77.602 77.604 22.398 22.396 93.608 6.392 16.81 224 0.875 bicubic
454 repvgg_b1g4 77.586 22.414 93.830 6.170 39.97 224 0.875 bilinear
455 adv_inception_v3 77.582 22.418 93.738 93.736 6.262 6.264 23.83 299 0.875 bicubic
456 gluon_resnet50_v1b 77.580 22.420 93.722 6.278 25.56 224 0.875 bicubic
457 res2net50_48w_2s 77.522 77.520 22.478 22.480 93.552 6.448 25.29 224 0.875 bilinear
458 coat_lite_tiny 77.510 77.514 22.490 22.486 93.912 93.916 6.088 6.084 5.72 224 0.900 bicubic
459 tf_efficientnet_lite2 77.468 22.532 93.756 6.244 6.09 260 0.890 bicubic
460 eca_resnext26ts 77.452 77.454 22.548 22.546 93.566 6.434 10.30 256 0.900 bicubic
461 inception_v3 77.438 22.562 93.476 93.474 6.524 6.526 23.83 299 0.875 bicubic
462 hardcorenas_d 77.432 77.430 22.568 22.570 93.484 93.482 6.516 6.518 7.50 224 0.875 bilinear
463 tv_resnet101 77.378 22.622 93.542 6.458 44.55 224 0.875 bilinear
464 densenet161 77.352 77.354 22.648 22.646 93.638 93.636 6.362 6.364 28.68 224 0.875 bicubic
465 tf_efficientnet_cc_b0_4e 77.304 77.302 22.696 22.698 93.334 6.666 13.31 224 0.875 bicubic
466 mobilenetv2_120d 77.296 77.294 22.704 22.706 93.496 6.504 5.83 224 0.875 bicubic
467 densenet201 77.290 22.710 93.478 6.522 20.01 224 0.875 bicubic
468 mixnet_m 77.264 22.736 93.424 6.576 5.01 224 0.875 bicubic
469 selecsls42b poolformer_s12 77.174 77.236 22.826 22.764 93.394 93.504 6.606 6.496 32.46 11.92 224 0.875 0.900 bicubic
470 xcit_tiny_12_p16_224 selecsls42b 77.126 77.174 22.874 22.826 93.714 93.392 6.286 6.608 6.72 32.46 224 1.000 0.875 bicubic
471 xcit_tiny_12_p16_224 77.126 22.874 93.716 6.284 6.72 224 1.000 bicubic
472 resnet34d 77.114 22.886 93.380 6.620 21.82 224 0.875 bicubic
473 legacy_seresnext26_32x4d 77.102 77.106 22.898 22.894 93.316 93.318 6.684 6.682 16.79 224 0.875 bicubic
474 tf_efficientnet_b0_ap 77.090 77.094 22.910 22.906 93.258 93.256 6.742 6.744 5.29 224 0.875 bicubic
475 hardcorenas_c 77.048 77.050 22.952 22.950 93.156 93.158 6.844 6.842 5.52 224 0.875 bilinear
476 dla60 77.036 77.030 22.964 22.970 93.318 93.320 6.682 6.680 22.04 224 0.875 bilinear
477 crossvit_9_dagger_240 76.978 76.982 23.022 23.018 93.612 93.610 6.388 6.390 8.78 240 0.875 bicubic
478 regnetx_016 76.950 23.050 93.422 6.578 9.19 224 0.875 bicubic
479 convmixer_1024_20_ks9_p14 76.942 23.058 93.356 6.644 24.38 224 0.960 bicubic
480 tf_mixnet_m 76.942 23.058 93.152 93.154 6.848 6.846 5.01 224 0.875 bicubic
481 gernet_s 76.912 76.908 23.088 23.092 93.134 93.132 6.866 6.868 8.17 224 0.875 bilinear
482 skresnet34 76.904 23.096 93.320 6.680 22.28 224 0.875 bicubic
483 tf_efficientnet_b0 76.846 76.844 23.154 23.156 93.226 93.228 6.774 6.772 5.29 224 0.875 bicubic
484 ese_vovnet19b_dw 76.800 76.802 23.200 23.198 93.272 6.728 6.54 224 0.875 bicubic
485 resnext26ts 76.780 23.220 93.128 6.872 10.30 256 0.900 bicubic
486 hrnet_w18 76.752 76.754 23.248 23.246 93.442 93.440 6.558 6.560 21.30 224 0.875 bilinear
487 resnet26d 76.700 76.704 23.300 23.296 93.146 93.150 6.854 6.850 16.01 224 0.875 bicubic
488 resmlp_12_224 76.656 23.344 93.180 6.820 15.35 224 0.875 bicubic
489 tf_efficientnet_lite1 76.636 76.640 23.364 23.360 93.222 93.220 6.778 6.780 5.42 240 0.882 bicubic
490 mixer_b16_224 76.610 76.612 23.390 23.388 92.230 92.228 7.770 7.772 59.88 224 0.875 bicubic
491 tf_efficientnet_es 76.598 76.596 23.402 23.404 93.204 6.796 5.44 224 0.875 bicubic
492 densenetblur121d 76.582 76.584 23.418 23.416 93.188 93.192 6.812 6.808 8.00 224 0.875 bicubic
493 hardcorenas_b 76.532 76.536 23.468 23.464 92.754 7.246 5.18 224 0.875 bilinear
494 levit_128s mobilenetv2_140 76.520 76.522 23.480 23.478 92.866 92.996 7.134 7.004 7.78 6.11 224 0.900 0.875 bicubic
495 mobilenetv2_140 levit_128s 76.508 76.520 23.492 23.480 92.998 92.872 7.002 7.128 6.11 7.78 224 0.875 0.900 bicubic
496 repvgg_a2 76.460 76.458 23.540 23.542 93.006 93.010 6.994 6.990 28.21 224 0.875 bilinear
497 xcit_nano_12_p8_224_dist 76.320 23.680 93.086 93.088 6.914 6.912 3.05 224 1.000 bicubic
498 regnety_008 76.312 76.310 23.688 23.690 93.070 6.930 6.26 224 0.875 bicubic
499 dpn68 76.306 23.694 92.974 7.026 12.61 224 0.875 bicubic
500 tv_resnet50 76.138 76.134 23.862 23.866 92.862 92.868 7.138 7.132 25.56 224 0.875 bilinear
vit_small_patch32_224 75.998 24.002 93.272 6.728 22.88 224 0.900 bicubic
501 mixnet_s 75.992 24.008 92.798 7.202 4.13 224 0.875 bicubic
502 vit_tiny_r_s16_p8_384 vit_small_patch32_224 75.956 75.986 24.044 24.014 93.262 93.270 6.738 6.730 6.36 22.88 384 224 1.000 0.900 bicubic
503 hardcorenas_a vit_tiny_r_s16_p8_384 75.922 75.954 24.078 24.046 92.516 93.264 7.484 6.736 5.26 6.36 224 384 0.875 1.000 bilinear bicubic
504 densenet169 hardcorenas_a 75.900 75.920 24.100 24.080 93.030 92.520 6.970 7.480 14.15 5.26 224 0.875 bicubic bilinear
505 mobilenetv3_large_100 densenet169 75.762 75.898 24.238 24.102 92.540 93.030 7.460 6.970 5.48 14.15 224 0.875 bicubic
506 mobilenetv3_large_100 75.766 24.234 92.544 7.456 5.48 224 0.875 bicubic
507 tf_mixnet_s 75.650 24.350 92.628 7.372 4.13 224 0.875 bicubic
508 mobilenetv3_rw 75.630 75.632 24.370 24.368 92.708 7.292 5.48 224 0.875 bicubic
509 densenet121 75.582 75.584 24.418 24.416 92.652 7.348 7.98 224 0.875 bicubic
510 tf_mobilenetv3_large_100 75.518 24.482 92.604 7.396 5.48 224 0.875 bilinear
511 resnest14d 75.506 75.504 24.494 24.496 92.520 7.480 10.61 224 0.875 bilinear
512 efficientnet_lite0 75.476 24.524 92.512 7.488 4.65 224 0.875 bicubic
513 vit_tiny_patch16_224 75.456 75.462 24.544 24.538 92.846 92.844 7.154 7.156 5.72 224 0.900 bicubic
514 xcit_nano_12_p16_384_dist 75.456 24.544 92.690 7.310 3.05 384 1.000 bicubic
515 semnasnet_100 75.450 24.550 92.600 7.400 3.89 224 0.875 bicubic
516 xcit_nano_12_p16_384_dist resnet26 75.450 75.300 24.550 24.700 92.692 92.578 7.308 7.422 3.05 16.00 384 224 1.000 0.875 bicubic
517 resnet26 regnety_006 75.302 75.250 24.698 24.750 92.576 92.534 7.424 7.466 16.00 6.06 224 0.875 bicubic
518 regnety_006 repvgg_b0 75.246 75.160 24.754 24.840 92.534 92.418 7.466 7.582 6.06 15.82 224 0.875 bicubic bilinear
519 repvgg_b0 fbnetc_100 75.156 75.130 24.844 24.870 92.418 92.386 7.582 7.614 15.82 5.57 224 0.875 bilinear
fbnetc_100 75.126 24.874 92.382 7.618 5.57 224 0.875 bilinear
520 hrnet_w18_small_v2 75.118 24.882 92.416 7.584 15.60 224 0.875 bilinear
521 resnet34 75.114 24.886 92.284 7.716 21.80 224 0.875 bilinear
522 mobilenetv2_110d 75.040 75.038 24.960 24.962 92.184 7.816 4.52 224 0.875 bicubic
523 regnetx_008 75.036 75.034 24.964 24.966 92.340 7.660 7.26 224 0.875 bicubic
524 efficientnet_es_pruned 74.998 74.996 25.002 25.004 92.438 92.440 7.562 7.560 5.44 224 0.875 bicubic
525 tinynet_b 74.980 74.976 25.020 25.024 92.186 92.184 7.814 7.816 3.73 188 0.875 bicubic
526 tf_efficientnet_lite0 74.832 25.168 92.176 92.174 7.824 7.826 4.65 224 0.875 bicubic
527 legacy_seresnet34 74.810 74.808 25.190 25.192 92.126 7.874 21.96 224 0.875 bilinear
528 tv_densenet121 74.744 25.256 92.150 92.152 7.850 7.848 7.98 224 0.875 bicubic
529 mnasnet_100 74.654 74.658 25.346 25.342 92.110 92.112 7.890 7.888 4.38 224 0.875 bicubic
530 mobilevit_xs 74.644 25.356 92.356 7.644 2.32 256 0.900 bicubic
531 dla34 74.620 25.380 92.072 7.928 15.74 224 0.875 bilinear
532 gluon_resnet34_v1b 74.592 74.588 25.408 25.412 91.988 8.012 21.80 224 0.875 bicubic
533 pit_ti_distilled_224 74.532 25.468 92.098 92.096 7.902 7.904 5.10 224 0.900 bicubic
534 deit_tiny_distilled_patch16_224 74.512 25.488 91.888 91.886 8.112 8.114 5.91 224 0.900 bicubic
535 vgg19_bn 74.214 25.786 91.848 8.152 143.68 224 0.875 bilinear
536 spnasnet_100 74.086 74.084 25.914 25.916 91.818 91.820 8.182 8.180 4.42 224 0.875 bilinear
537 regnety_004 74.024 25.976 91.754 8.246 4.34 224 0.875 bicubic
538 ghostnet_100 73.978 73.974 26.022 26.026 91.458 91.460 8.542 8.540 5.18 224 0.875 bilinear
539 crossvit_9_240 73.970 73.960 26.030 26.040 91.964 91.968 8.036 8.032 8.55 240 0.875 bicubic
540 xcit_nano_12_p8_224 73.918 73.910 26.082 26.090 92.170 92.168 7.830 7.832 3.05 224 1.000 bicubic
541 regnetx_006 73.852 73.860 26.148 26.140 91.674 91.672 8.326 8.328 6.20 224 0.875 bicubic
542 vit_base_patch32_224_sam 73.692 73.694 26.308 26.306 91.012 91.010 8.988 8.990 88.22 224 0.900 bicubic
543 tf_mobilenetv3_large_075 73.440 73.436 26.560 26.564 91.348 91.344 8.652 8.656 3.99 224 0.875 bilinear
544 vgg16_bn 73.350 26.650 91.504 8.496 138.37 224 0.875 bilinear
545 crossvit_tiny_240 73.336 73.332 26.664 26.668 91.916 91.914 8.084 8.086 7.01 240 0.875 bicubic
546 tv_resnet34 73.308 73.306 26.692 26.694 91.424 8.576 21.80 224 0.875 bilinear
547 swsl_resnet18 73.274 73.276 26.726 26.724 91.738 91.736 8.262 8.264 11.69 224 0.875 bilinear
548 convit_tiny 73.120 73.114 26.880 26.886 91.720 91.714 8.280 8.286 5.71 224 0.875 bicubic
549 skresnet18 73.036 26.964 91.168 8.832 11.96 224 0.875 bicubic
550 semnasnet_075 72.974 72.972 27.026 27.028 91.136 8.864 2.91 224 0.875 bicubic
551 mobilenetv2_100 72.966 72.970 27.034 27.030 91.018 91.020 8.982 8.980 3.50 224 0.875 bicubic
552 pit_ti_224 72.910 72.912 27.090 27.088 91.406 8.594 4.85 224 0.900 bicubic
553 ssl_resnet18 72.606 72.608 27.394 27.392 91.424 8.576 11.69 224 0.875 bilinear
554 regnetx_004 72.390 72.392 27.610 27.608 90.830 90.832 9.170 9.168 5.16 224 0.875 bicubic
555 vgg19 72.366 27.634 90.870 9.130 143.67 224 0.875 bilinear
556 hrnet_w18_small 72.340 72.338 27.660 27.662 90.678 90.680 9.322 9.320 13.19 224 0.875 bilinear
557 xcit_nano_12_p16_224_dist 72.302 27.698 90.862 90.858 9.138 9.142 3.05 224 1.000 bicubic
558 resnet18d 72.250 27.750 90.688 9.312 11.71 224 0.875 bicubic
559 tf_mobilenetv3_large_minimal_100 72.250 27.750 90.630 9.370 3.92 224 0.875 bilinear
560 deit_tiny_patch16_224 72.166 72.172 27.834 27.828 91.120 91.114 8.880 8.886 5.72 224 0.900 bicubic
561 lcnet_100 72.108 72.104 27.892 27.896 90.378 90.376 9.622 9.624 2.95 224 0.875 bicubic
562 mixer_l16_224 72.048 72.054 27.952 27.946 87.664 87.662 12.336 12.338 208.20 224 0.875 bicubic
563 vit_tiny_r_s16_p8_224 71.788 71.792 28.212 28.208 90.822 9.178 6.34 224 0.900 bicubic
564 legacy_seresnet18 71.742 28.258 90.332 9.668 11.78 224 0.875 bicubic
565 vgg13_bn 71.594 28.406 90.376 9.624 133.05 224 0.875 bilinear
566 vgg16 71.590 28.410 90.382 9.618 138.36 224 0.875 bilinear
567 tinynet_c 71.228 28.772 89.750 10.250 2.46 184 0.875 bicubic
568 gluon_resnet18_v1b 70.838 70.834 29.162 29.166 89.762 10.238 11.69 224 0.875 bicubic
569 vgg11_bn 70.360 29.640 89.802 10.198 132.87 224 0.875 bilinear
570 regnety_002 70.254 29.746 89.540 89.532 10.460 10.468 3.16 224 0.875 bicubic
571 xcit_nano_12_p16_224 69.964 69.954 30.036 30.046 89.760 89.754 10.240 10.246 3.05 224 1.000 bicubic
572 vgg13 69.926 30.074 89.246 10.754 133.05 224 0.875 bilinear
573 resnet18 69.744 30.256 89.082 10.918 11.69 224 0.875 bilinear
574 vgg11 69.028 30.972 88.626 11.374 132.86 224 0.875 bilinear
575 lcnet_075 mobilevit_xxs 68.818 68.920 31.182 31.080 88.374 88.944 11.626 11.056 2.36 1.27 224 256 0.875 0.900 bicubic
576 regnetx_002 lcnet_075 68.750 68.816 31.250 31.184 88.556 88.370 11.444 11.630 2.68 2.36 224 0.875 bicubic
577 regnetx_002 68.756 31.244 88.556 11.444 2.68 224 0.875 bicubic
578 tf_mobilenetv3_small_100 67.924 32.076 87.664 12.336 2.54 224 0.875 bilinear
579 dla60x_c 67.892 32.108 88.426 11.574 1.32 224 0.875 bilinear
580 mobilenetv3_small_100 67.656 32.344 87.634 12.366 2.54 224 0.875 bicubic
581 tinynet_d 66.958 33.042 87.064 12.936 2.34 152 0.875 bicubic
582 mnasnet_small 66.206 33.794 86.508 13.492 2.03 224 0.875 bicubic
583 dla46x_c 65.970 34.030 86.980 13.020 1.07 224 0.875 bilinear
584 mobilenetv2_050 65.942 34.058 86.082 13.918 1.97 224 0.875 bicubic
585 tf_mobilenetv3_small_075 65.714 34.286 86.134 13.866 2.04 224 0.875 bilinear
586 mnasnet_small mobilenetv3_small_075 65.596 65.242 34.404 34.758 86.188 85.438 13.812 14.562 2.03 2.04 224 0.875 bicubic
587 dla46_c 64.866 35.134 86.294 13.706 1.30 224 0.875 bilinear
588 lcnet_050 63.100 36.900 84.382 15.618 1.88 224 0.875 bicubic
589 tf_mobilenetv3_small_minimal_100 62.908 37.092 84.234 15.766 2.04 224 0.875 bilinear
590 tinynet_e 59.856 40.144 81.766 81.764 18.234 18.236 2.04 106 0.875 bicubic
591 mobilenetv3_small_050 57.890 42.110 80.194 19.806 1.59 224 0.875 bicubic

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

@ -172,11 +172,6 @@ def load_custom_pretrained(
pretrained_cfg (dict): Default pretrained model cfg
load_fn: An external stand alone fn that loads weights into provided model, otherwise a fn named
'laod_pretrained' on the model will be called if it exists
progress (bool, optional): whether or not to display a progress bar to stderr. Default: False
check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
digits of the SHA256 hash of the contents of the file. The hash is used to
ensure unique names and to verify the contents of the file. Default: False
"""
pretrained_cfg = pretrained_cfg or getattr(model, 'pretrained_cfg', None) or {}
load_from, pretrained_loc = _resolve_pretrained_source(pretrained_cfg)

@ -46,7 +46,6 @@ def _cfg(url='', **kwargs):
default_cfgs = {
# patch models (my experiments)
'swin_base_patch4_window12_384': _cfg(
url='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22kto1k.pth',
input_size=(3, 384, 384), crop_pct=1.0),

@ -64,17 +64,18 @@ def _cfg(url='', **kwargs):
default_cfgs = {
# patch models (my experiments)
'swin_v2_cr_tiny_384': _cfg(
url="", input_size=(3, 384, 384), crop_pct=1.0),
'swin_v2_cr_tiny_224': _cfg(
url="", input_size=(3, 224, 224), crop_pct=0.9),
'swin_v2_cr_tiny_ns_224': _cfg(
url="", input_size=(3, 224, 224), crop_pct=0.9),
url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_tiny_ns_224-ba8166c6.pth",
input_size=(3, 224, 224), crop_pct=0.9),
'swin_v2_cr_small_384': _cfg(
url="", input_size=(3, 384, 384), crop_pct=1.0),
'swin_v2_cr_small_224': _cfg(
url="", input_size=(3, 224, 224), crop_pct=0.9),
url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_small_224-0813c165.pth",
input_size=(3, 224, 224), crop_pct=0.9),
'swin_v2_cr_base_384': _cfg(
url="", input_size=(3, 384, 384), crop_pct=1.0),
'swin_v2_cr_base_224': _cfg(

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