Add update NCHW and NHWC inference benchmark numbers for current models. Flip name of 'sam' vit models in results files

pull/1105/head
Ross Wightman 3 years ago
parent 83b40c5a58
commit 499c4749d7

File diff suppressed because it is too large Load Diff

@ -0,0 +1,696 @@
model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tinynet_e,52443.33,4.87,256,106,0.03,0.69,2.04
lcnet_035,41836.65,6.108,256,224,0.03,1.04,1.64
mobilenetv3_small_050,40675.32,6.283,256,224,0.03,0.92,1.59
lcnet_050,37031.22,6.902,256,224,0.05,1.26,1.88
mobilenetv3_small_075,33134.36,7.715,256,224,0.05,1.3,2.04
mobilenetv3_small_100,30332.75,8.428,256,224,0.06,1.42,2.54
tinynet_d,29729.64,8.599,256,152,0.05,1.42,2.34
tf_mobilenetv3_small_minimal_100,28698.97,8.909,256,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,27515.61,9.292,256,224,0.05,1.3,2.04
tf_mobilenetv3_small_100,25529.73,10.016,256,224,0.06,1.42,2.54
lcnet_075,25351.21,10.087,256,224,0.1,1.99,2.36
lcnet_100,21251.26,12.035,256,224,0.16,2.52,2.95
mnasnet_small,20610.12,12.41,256,224,0.07,2.16,2.03
levit_128s,18679.12,13.694,256,224,0.31,1.88,7.78
mobilenetv2_035,18422.82,13.885,256,224,0.07,2.86,1.68
ghostnet_050,17065.19,14.99,256,224,0.05,1.77,2.59
regnetx_002,17008.51,15.04,256,224,0.2,2.16,2.68
mnasnet_050,16943.72,15.098,256,224,0.11,3.07,2.22
tinynet_c,16089.67,15.9,256,184,0.11,2.87,2.46
mobilenetv2_050,15226.35,16.802,256,224,0.1,3.64,1.97
regnety_002,15182.41,16.851,256,224,0.2,2.17,3.16
semnasnet_050,14956.97,17.104,256,224,0.11,3.44,2.08
lcnet_150,14301.96,17.889,256,224,0.34,3.79,4.5
regnetx_004,13656.57,18.735,256,224,0.4,3.14,5.16
gernet_s,13307.64,19.226,256,224,0.75,2.65,8.17
mobilenetv3_large_075,12875.59,19.872,256,224,0.16,4.0,3.99
levit_128,12869.05,19.881,256,224,0.41,2.71,9.21
mnasnet_075,11851.07,21.591,256,224,0.23,4.77,3.17
mobilenetv3_rw,11749.18,21.778,256,224,0.23,4.41,5.48
hardcorenas_a,11724.1,21.825,256,224,0.23,4.38,5.26
mobilenetv3_large_100,11546.8,22.16,256,224,0.23,4.41,5.48
mobilenetv3_large_100_miil,11527.85,22.196,256,224,0.23,4.41,5.48
levit_192,11521.32,22.208,256,224,0.66,3.2,10.95
tf_mobilenetv3_large_075,11097.44,23.056,256,224,0.16,4.0,3.99
ese_vovnet19b_slim_dw,11011.34,23.237,256,224,0.4,5.28,1.9
tf_mobilenetv3_large_minimal_100,10807.48,23.676,256,224,0.22,4.4,3.92
tinynet_b,10794.3,23.705,256,188,0.21,4.44,3.73
hardcorenas_b,10649.59,24.027,256,224,0.26,5.09,5.18
hardcorenas_c,10616.11,24.103,256,224,0.28,5.01,5.52
mnasnet_100,10429.97,24.534,256,224,0.33,5.46,4.38
mnasnet_b1,10405.42,24.591,256,224,0.33,5.46,4.38
mixer_s32_224,10314.02,24.809,256,224,1.0,2.28,19.1
ssl_resnet18,10228.31,25.016,256,224,1.82,2.48,11.69
gluon_resnet18_v1b,10218.86,25.04,256,224,1.82,2.48,11.69
swsl_resnet18,10183.71,25.126,256,224,1.82,2.48,11.69
resnet18,10180.53,25.135,256,224,1.82,2.48,11.69
tf_mobilenetv3_large_100,10049.81,25.462,256,224,0.23,4.41,5.48
ghostnet_100,9984.48,25.628,256,224,0.15,3.55,5.18
mobilenetv2_075,9980.04,25.64,256,224,0.22,5.86,2.64
semnasnet_075,9964.54,25.68,256,224,0.23,5.54,2.91
hardcorenas_d,9736.47,26.282,256,224,0.3,4.93,7.5
seresnet18,9448.37,27.084,256,224,1.82,2.49,11.78
spnasnet_100,9378.19,27.285,256,224,0.35,6.03,4.42
vit_small_patch32_224,9330.47,27.426,256,224,1.15,2.5,22.88
regnety_006,9290.2,27.545,256,224,0.61,4.33,6.06
legacy_seresnet18,9195.77,27.828,256,224,1.82,2.49,11.78
mobilenetv2_100,8931.8,28.65,256,224,0.31,6.68,3.5
regnety_004,8913.44,28.71,256,224,0.41,3.89,4.34
semnasnet_100,8878.3,28.823,256,224,0.32,6.23,3.89
mnasnet_a1,8872.5,28.841,256,224,0.32,6.23,3.89
hardcorenas_f,8746.45,29.258,256,224,0.35,5.57,8.2
tinynet_a,8705.83,29.394,256,192,0.35,5.41,6.19
efficientnet_lite0,8678.08,29.489,256,224,0.4,6.74,4.65
levit_256,8605.17,29.738,256,224,1.13,4.23,18.89
fbnetc_100,8589.17,29.794,256,224,0.4,6.51,5.57
hardcorenas_e,8587.1,29.801,256,224,0.35,5.65,8.07
resnet18d,8454.18,30.27,256,224,2.06,3.29,11.71
tf_efficientnetv2_b0,8451.14,30.28,256,224,0.73,4.77,7.14
ese_vovnet19b_slim,8409.91,30.429,256,224,1.69,3.52,3.17
regnetx_008,8190.92,31.242,256,224,0.81,5.15,7.26
vit_tiny_r_s16_p8_224,8188.54,31.252,256,224,0.44,2.06,6.34
regnetx_006,7654.81,33.432,256,224,0.61,3.98,6.2
ghostnet_130,7516.11,34.049,256,224,0.24,4.6,7.36
tf_efficientnet_lite0,7513.34,34.061,256,224,0.4,6.74,4.65
regnety_008,7334.93,34.89,256,224,0.81,5.25,6.26
mnasnet_140,7212.43,35.483,256,224,0.6,7.71,7.12
efficientnet_b0,7189.76,35.595,256,224,0.4,6.75,5.29
rexnetr_100,6816.78,37.543,256,224,0.43,7.72,4.88
mobilenetv2_110d,6785.21,37.718,256,224,0.45,8.71,4.52
tf_efficientnet_b0_ns,6397.82,40.002,256,224,0.4,6.75,5.29
tf_efficientnet_b0_ap,6366.01,40.201,256,224,0.4,6.75,5.29
tf_efficientnet_b0,6345.74,40.33,256,224,0.4,6.75,5.29
hrnet_w18_small,6240.1,41.014,256,224,1.61,5.72,13.19
semnasnet_140,6194.36,41.317,256,224,0.6,8.87,6.11
ese_vovnet19b_dw,6016.74,42.537,256,224,1.34,8.25,6.54
mobilenetv2_140,6010.52,42.581,256,224,0.6,9.57,6.11
resnet34,5949.09,43.021,256,224,3.67,3.74,21.8
gluon_resnet34_v1b,5944.0,43.057,256,224,3.67,3.74,21.8
tv_resnet34,5920.52,43.227,256,224,3.67,3.74,21.8
gernet_m,5909.18,43.311,256,224,3.02,5.24,21.14
efficientnet_lite1,5815.72,44.007,256,240,0.62,10.14,5.42
selecsls42,5752.79,44.489,256,224,2.94,4.62,30.35
selecsls42b,5752.33,44.492,256,224,2.98,4.62,32.46
fbnetv3_b,5567.33,45.971,256,256,0.55,9.1,8.6
efficientnet_b1_pruned,5558.39,46.045,256,240,0.4,6.21,6.33
resnet26,5532.69,46.26,256,224,2.36,7.35,16.0
skresnet18,5529.57,46.284,256,224,1.82,3.24,11.96
efficientnet_es_pruned,5519.91,46.366,256,224,1.81,8.73,5.44
efficientnet_es,5518.49,46.378,256,224,1.81,8.73,5.44
tf_efficientnetv2_b1,5515.51,46.402,256,240,1.21,7.34,8.14
rexnet_100,5500.83,46.527,256,224,0.41,7.44,4.8
dla46_c,5464.03,46.84,256,224,0.58,4.5,1.3
seresnet34,5439.78,47.05,256,224,3.67,3.74,21.96
resnet34d,5325.4,48.06,256,224,3.91,4.54,21.82
resnetblur18,5301.3,48.279,256,224,2.34,3.39,11.69
legacy_seresnet34,5280.08,48.473,256,224,3.67,3.74,21.96
rexnetr_130,5239.92,48.845,256,224,0.68,9.81,7.61
tf_efficientnet_es,5226.26,48.971,256,224,1.81,8.73,5.44
tf_efficientnet_lite1,5192.67,49.288,256,240,0.62,10.14,5.42
levit_384,5136.88,49.824,256,224,2.36,6.26,39.13
nf_regnet_b0,5081.73,50.365,256,256,0.64,5.58,8.76
selecsls60,5015.37,51.032,256,224,3.59,5.52,30.67
selecsls60b,5008.51,51.102,256,224,3.63,5.52,32.77
mobilenetv2_120d,5006.42,51.123,256,224,0.69,11.97,5.83
repvgg_b0,4831.81,52.969,256,224,3.41,6.15,15.82
resnet26d,4774.01,53.612,256,224,2.6,8.15,16.01
rexnetr_150,4621.39,55.383,256,224,0.89,11.13,9.78
fbnetv3_d,4543.95,56.327,256,256,0.68,11.1,10.31
nf_resnet26,4522.01,56.601,256,224,2.41,7.35,16.0
deit_tiny_patch16_224,4516.94,56.664,256,224,1.26,5.97,5.72
visformer_tiny,4514.36,56.695,256,224,1.27,5.72,10.32
vit_tiny_patch16_224,4509.39,56.76,256,224,1.26,5.97,5.72
efficientnet_lite2,4476.87,57.171,256,260,0.89,12.9,6.09
xcit_nano_12_p16_224_dist,4461.13,57.373,256,224,0.56,4.17,3.05
deit_tiny_distilled_patch16_224,4450.37,57.513,256,224,1.27,6.01,5.91
xcit_nano_12_p16_224,4443.48,57.6,256,224,0.56,4.17,3.05
pit_ti_distilled_224,4267.82,59.972,256,224,0.71,6.23,5.1
pit_ti_224,4256.93,60.125,256,224,0.7,6.19,4.85
resmlp_12_distilled_224,4163.6,61.475,256,224,3.01,5.5,15.35
resmlp_12_224,4160.41,61.521,256,224,3.01,5.5,15.35
gernet_l,4096.96,62.474,256,256,4.57,8.0,31.08
tf_efficientnetv2_b2,4081.75,62.706,256,260,1.72,9.84,10.1
legacy_seresnext26_32x4d,4060.33,63.037,256,224,2.49,9.39,16.79
tf_efficientnet_b1,4046.06,63.259,256,240,0.71,10.88,7.79
tf_efficientnet_b1_ap,4044.6,63.282,256,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,4042.64,63.313,256,240,0.71,10.88,7.79
tf_efficientnet_lite2,4027.76,63.547,256,260,0.89,12.9,6.09
resnext26ts,3956.89,64.685,256,256,2.43,10.52,10.3
dla46x_c,3913.74,65.398,256,224,0.54,5.66,1.07
efficientnet_b1,3903.13,65.577,256,256,0.77,12.22,7.79
dla34,3901.31,65.607,256,224,3.07,5.02,15.74
mixer_b32_224,3872.36,66.099,256,224,3.24,6.29,60.29
rexnet_130,3847.96,66.517,256,224,0.68,9.71,7.56
vit_base_patch32_224_sam,3843.13,66.599,256,224,4.41,5.01,88.22
nf_seresnet26,3833.86,66.763,256,224,2.41,7.36,17.4
eca_resnext26ts,3823.14,66.95,256,256,2.43,10.52,10.3
vit_base_patch32_224,3821.26,66.98,256,224,4.41,5.01,88.22
nf_ecaresnet26,3821.0,66.987,256,224,2.41,7.36,16.0
seresnext26ts,3814.04,67.108,256,256,2.43,10.52,10.39
dla60x_c,3762.66,68.025,256,224,0.59,6.01,1.32
efficientnet_b2_pruned,3734.36,68.542,256,260,0.73,9.13,8.31
regnetx_016,3682.98,69.498,256,224,1.62,7.93,9.19
resnet26t,3677.69,69.597,256,256,3.35,10.52,16.01
gcresnext26ts,3645.26,70.216,256,256,2.43,10.53,10.48
rexnet_150,3639.9,70.32,256,224,0.9,11.21,9.73
seresnext26tn_32x4d,3635.04,70.413,256,224,2.7,10.09,16.81
seresnext26t_32x4d,3629.32,70.524,256,224,2.7,10.09,16.81
ecaresnext50t_32x4d,3625.17,70.606,256,224,2.7,10.09,15.41
seresnext26d_32x4d,3620.48,70.696,256,224,2.73,10.19,16.81
ecaresnet50d_pruned,3618.55,70.735,256,224,2.53,6.43,19.94
ecaresnext26t_32x4d,3617.96,70.747,256,224,2.7,10.09,15.41
resnetv2_50,3573.69,71.622,256,224,4.11,11.11,25.55
eca_botnext26ts_256,3538.36,72.339,256,256,2.46,11.6,10.59
repvgg_a2,3525.89,72.594,256,224,5.7,6.26,28.21
pit_xs_224,3490.24,73.336,256,224,1.4,7.71,10.62
mixer_s16_224,3485.97,73.426,256,224,3.79,5.97,18.53
pit_xs_distilled_224,3470.1,73.761,256,224,1.41,7.76,11.0
eca_halonext26ts,3433.36,74.552,256,256,2.44,11.46,10.76
gluon_resnet50_v1b,3424.93,74.734,256,224,4.11,11.11,25.56
rexnetr_200,3422.25,74.791,256,224,1.59,15.11,16.52
ssl_resnet50,3418.93,74.864,256,224,4.11,11.11,25.56
resnet50,3416.87,74.911,256,224,4.11,11.11,25.56
tv_resnet50,3416.58,74.915,256,224,4.11,11.11,25.56
swsl_resnet50,3415.95,74.931,256,224,4.11,11.11,25.56
ecaresnetlight,3410.59,75.049,256,224,4.11,8.42,30.16
efficientnet_em,3345.86,76.5,256,240,3.04,14.34,6.9
dpn68b,3321.6,77.058,256,224,2.35,10.47,12.61
dpn68,3321.37,77.064,256,224,2.35,10.47,12.61
resnet32ts,3318.56,77.131,256,256,4.63,11.58,17.96
botnet26t_256,3309.73,77.335,256,256,3.32,11.98,12.49
resnet33ts,3269.93,78.278,256,256,4.76,11.66,19.68
resnetv2_50t,3252.33,78.701,256,224,4.32,11.82,25.57
halonet26t,3247.75,78.812,256,256,3.19,11.69,12.48
resnetv2_50d,3238.36,79.041,256,224,4.35,11.92,25.57
gluon_resnet50_v1c,3234.34,79.139,256,224,4.35,11.92,25.58
nf_regnet_b1,3220.71,79.473,256,288,1.02,9.2,10.22
tf_efficientnet_em,3211.19,79.71,256,240,3.04,14.34,6.9
nf_regnet_b2,3198.33,80.03,256,272,1.22,9.27,14.31
xcit_tiny_12_p16_224_dist,3183.42,80.405,256,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,3177.02,80.567,256,224,1.24,6.29,6.72
regnety_016,3168.83,80.775,256,224,1.63,8.04,11.2
gmixer_12_224,3164.43,80.888,256,224,2.67,7.26,12.7
tf_efficientnet_b2_ap,3144.11,81.41,256,260,1.02,13.83,9.11
tf_efficientnet_b2,3133.02,81.698,256,260,1.02,13.83,9.11
eca_resnet33ts,3132.75,81.706,256,256,4.76,11.66,19.68
seresnet33ts,3132.5,81.713,256,256,4.76,11.66,19.78
skresnet34,3122.38,81.975,256,224,3.67,5.13,22.28
resnet50t,3114.92,82.173,256,224,4.32,11.82,25.57
tf_efficientnet_b2_ns,3112.24,82.244,256,260,1.02,13.83,9.11
gluon_resnet50_v1d,3111.66,82.259,256,224,4.35,11.92,25.58
resnet50d,3107.36,82.374,256,224,4.35,11.92,25.58
vovnet39a,3097.06,82.648,256,224,7.09,6.73,22.6
bat_resnext26ts,3052.18,83.861,256,256,2.53,12.51,10.73
legacy_seresnet50,3043.79,84.094,256,224,3.88,10.6,28.09
cspresnext50,3003.53,85.222,256,224,3.1,12.14,20.57
gcresnet33ts,2986.89,85.696,256,256,4.76,11.68,19.88
selecsls84,2981.3,85.857,256,224,5.9,7.57,50.95
vit_small_patch32_384,2981.2,85.86,256,384,3.45,8.25,22.92
ese_vovnet39b,2975.03,86.038,256,224,7.09,6.74,24.57
efficientnet_b2a,2964.53,86.343,256,288,1.12,16.2,9.11
efficientnet_b2,2962.37,86.406,256,288,1.12,16.2,9.11
eca_vovnet39b,2962.13,86.413,256,224,7.09,6.74,22.6
res2net50_48w_2s,2946.94,86.858,256,224,4.18,11.72,25.29
seresnet50,2942.22,86.998,256,224,4.11,11.13,28.09
efficientnet_b3_pruned,2917.98,87.72,256,300,1.04,11.86,9.86
haloregnetz_b,2882.69,88.795,256,224,1.97,11.94,11.68
vit_small_resnet26d_224,2880.85,88.851,256,224,5.07,11.12,63.61
vgg11,2809.5,91.106,256,224,7.61,7.44,132.86
gluon_resnext50_32x4d,2797.04,91.514,256,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2795.88,91.552,256,224,4.26,14.4,25.03
tv_resnext50_32x4d,2795.77,91.554,256,224,4.26,14.4,25.03
mixnet_s,2795.45,91.566,256,224,0.25,6.25,4.13
ssl_resnext50_32x4d,2795.35,91.567,256,224,4.26,14.4,25.03
resnext50_32x4d,2795.04,91.578,256,224,4.26,14.4,25.03
resnetaa50d,2786.19,91.87,256,224,5.39,12.44,25.58
ecaresnet101d_pruned,2770.2,92.4,256,224,3.48,7.69,24.88
densenet121,2765.59,92.554,256,224,2.87,6.9,7.98
tv_densenet121,2754.97,92.91,256,224,2.87,6.9,7.98
gluon_resnet50_v1s,2746.47,93.198,256,224,5.47,13.52,25.68
rexnet_200,2741.96,93.353,256,224,1.56,14.91,16.37
cspresnet50,2739.95,93.42,256,256,4.54,11.5,21.62
seresnet50t,2715.96,94.246,256,224,4.32,11.83,28.1
resnetrs50,2709.47,94.471,256,224,4.48,12.14,35.69
crossvit_tiny_240,2698.8,94.845,256,240,1.57,9.08,7.01
ecaresnet50d,2695.97,94.946,256,224,4.35,11.93,25.58
tf_mixnet_s,2668.56,95.92,256,224,0.25,6.25,4.13
dla60,2658.15,96.295,256,224,4.26,10.16,22.04
crossvit_9_240,2646.19,96.732,256,240,1.85,9.52,8.55
densenet121d,2643.5,96.83,256,224,3.11,7.7,8.0
efficientnet_lite3,2630.67,97.302,256,300,1.65,21.85,8.2
convit_tiny,2612.77,97.969,256,224,1.26,7.94,5.71
hrnet_w18_small_v2,2612.23,97.989,256,224,2.62,9.65,15.6
crossvit_9_dagger_240,2607.67,98.16,256,240,1.99,9.97,8.78
regnetz_b16,2592.86,98.722,256,288,2.39,16.43,9.72
resnext50d_32x4d,2582.77,99.107,256,224,4.5,15.2,25.05
cspresnet50d,2577.78,99.299,256,256,4.86,12.55,21.64
cspresnet50w,2560.3,99.977,256,256,5.04,12.19,28.12
vgg11_bn,2537.64,100.869,256,224,7.62,7.44,132.87
vovnet57a,2533.31,101.041,256,224,8.95,7.52,36.64
resnetblur50,2528.53,101.233,256,224,5.16,12.02,25.56
gmlp_ti16_224,2479.86,103.22,256,224,1.34,7.55,5.87
seresnext50_32x4d,2470.29,103.618,256,224,4.26,14.42,27.56
legacy_seresnext50_32x4d,2466.47,103.78,256,224,4.26,14.42,27.56
seresnetaa50d,2460.49,104.031,256,224,5.4,12.46,28.11
gluon_seresnext50_32x4d,2457.31,104.168,256,224,4.26,14.42,27.56
fbnetv3_g,2441.71,104.833,256,288,1.77,21.09,16.62
res2net50_26w_4s,2439.77,104.916,256,224,4.28,12.61,25.7
ese_vovnet57b,2429.1,105.377,256,224,8.95,7.52,38.61
vit_tiny_r_s16_p8_384,2420.04,105.772,256,384,1.34,6.49,6.36
gcresnet50t,2406.95,106.347,256,256,5.42,14.67,25.9
adv_inception_v3,2387.53,107.209,256,299,5.73,8.97,23.83
inception_v3,2378.4,107.624,256,299,5.73,8.97,23.83
gluon_inception_v3,2378.14,107.635,256,299,5.73,8.97,23.83
dla60x,2376.48,107.71,256,224,3.54,13.8,17.35
efficientnetv2_rw_t,2371.59,107.933,256,288,3.19,16.42,13.65
tf_inception_v3,2369.67,108.018,256,299,5.73,8.97,23.83
densenetblur121d,2366.44,108.168,256,224,3.11,7.9,8.0
tf_efficientnet_lite3,2359.22,108.498,256,300,1.65,21.85,8.2
resnetblur50d,2356.51,108.624,256,224,5.4,12.82,25.58
nf_seresnet50,2321.05,110.283,256,224,4.21,11.13,28.09
lambda_resnet26rpt_256,2319.42,110.361,256,256,3.16,11.87,10.99
tf_efficientnetv2_b3,2313.61,110.636,256,300,3.04,15.74,14.36
nf_ecaresnet50,2312.19,110.706,256,224,4.21,11.13,25.56
resnest14d,2311.92,110.718,256,224,2.76,7.33,10.61
deit_small_patch16_224,2305.42,111.031,256,224,4.61,11.95,22.05
pit_s_224,2300.71,111.258,256,224,2.88,11.56,23.46
vit_small_patch16_224,2295.85,111.494,256,224,4.61,11.95,22.05
pit_s_distilled_224,2281.8,112.18,256,224,2.9,11.64,24.04
densenet169,2278.65,112.335,256,224,3.4,7.3,14.15
vit_base_resnet26d_224,2268.07,112.857,256,224,6.97,13.16,101.4
deit_small_distilled_patch16_224,2267.44,112.892,256,224,4.63,12.02,22.44
skresnet50,2244.08,114.064,256,224,4.11,12.5,25.8
darknet53,2213.23,115.656,256,256,9.31,12.39,41.61
sehalonet33ts,2208.53,115.902,256,256,3.55,14.7,13.69
res2net50_14w_8s,2201.46,116.274,256,224,4.21,13.28,25.06
gc_efficientnetv2_rw_t,2198.9,116.41,256,288,3.2,16.45,13.68
gcresnext50ts,2187.09,117.039,256,256,3.75,15.46,15.67
resnetv2_101,2146.17,119.27,256,224,7.83,16.23,44.54
resmlp_24_224,2127.24,120.334,256,224,5.96,10.91,30.02
resmlp_24_distilled_224,2125.15,120.451,256,224,5.96,10.91,30.02
skresnet50d,2105.03,121.599,256,224,4.36,13.31,25.82
gluon_resnet101_v1b,2098.13,122.001,256,224,7.83,16.23,44.55
tv_resnet101,2095.51,122.152,256,224,7.83,16.23,44.55
resnet101,2094.89,122.19,256,224,7.83,16.23,44.55
res2next50,2089.9,122.482,256,224,4.2,13.71,24.67
ecaresnet26t,2087.45,122.626,256,320,5.24,16.44,16.01
dla60_res2net,2078.29,123.165,256,224,4.15,12.34,20.85
nf_regnet_b3,2039.85,125.487,256,320,2.05,14.61,18.59
gluon_resnet101_v1c,2026.41,126.32,256,224,8.08,17.04,44.57
resnetv2_101d,2021.62,126.619,256,224,8.07,17.04,44.56
gluon_resnet101_v1d,1976.83,129.488,256,224,8.08,17.04,44.57
vgg13,1972.22,129.79,256,224,11.31,12.25,133.05
wide_resnet50_2,1932.56,132.455,256,224,11.43,14.4,68.88
sebotnet33ts_256,1892.63,135.25,256,256,3.89,17.46,13.7
repvgg_b1,1864.64,137.281,256,224,13.16,10.64,57.42
resnetaa101d,1840.38,139.09,256,224,9.12,17.56,44.57
legacy_seresnet101,1838.54,139.229,256,224,7.61,15.74,49.33
resnet51q,1828.83,139.968,256,288,8.07,20.94,35.7
gluon_resnet101_v1s,1822.02,140.491,256,224,9.19,18.64,44.67
dla102,1820.91,140.577,256,224,7.19,14.18,33.27
dla60_res2next,1817.78,140.818,256,224,3.49,13.17,17.03
coat_lite_tiny,1811.49,141.309,256,224,1.6,11.65,5.72
vit_base_resnet50d_224,1807.55,141.614,256,224,8.73,16.92,110.97
tf_efficientnet_b3,1803.3,141.948,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ap,1802.94,141.978,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ns,1802.1,142.043,256,300,1.87,23.83,12.23
cspdarknet53,1801.31,142.107,256,256,6.57,16.81,27.64
seresnet101,1796.92,142.453,256,224,7.84,16.27,49.33
efficientnet_b3,1780.99,143.727,256,320,2.01,26.52,12.23
efficientnet_b3a,1780.57,143.761,256,320,2.01,26.52,12.23
densenet201,1754.6,145.89,256,224,4.34,7.85,20.01
vgg13_bn,1750.09,146.264,256,224,11.33,12.25,133.05
ssl_resnext101_32x4d,1737.01,147.366,256,224,8.01,21.23,44.18
resnext101_32x4d,1736.55,147.407,256,224,8.01,21.23,44.18
gluon_resnext101_32x4d,1736.42,147.419,256,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1735.28,147.514,256,224,8.01,21.23,44.18
halonet50ts,1731.56,147.831,256,256,5.3,19.2,22.73
res2net50_26w_6s,1726.13,148.297,256,224,6.33,15.28,37.05
nf_resnet101,1725.55,148.347,256,224,8.01,16.23,44.55
coat_lite_mini,1724.07,148.474,256,224,2.0,12.25,11.01
regnetz_c16,1702.47,150.358,256,320,3.92,25.88,13.46
nf_resnet50,1701.7,150.426,256,288,6.88,18.37,25.56
ecaresnet101d,1699.81,150.594,256,224,8.08,17.07,44.57
xcit_tiny_24_p16_224_dist,1697.25,150.82,256,224,2.34,11.82,12.12
xcit_tiny_24_p16_224,1694.56,151.06,256,224,2.34,11.82,12.12
xcit_small_12_p16_224_dist,1690.19,151.45,256,224,4.82,12.58,26.25
xcit_small_12_p16_224,1687.09,151.729,256,224,4.82,12.58,26.25
resnest26d,1686.65,151.769,256,224,3.64,9.97,17.07
convnext_tiny,1676.02,152.729,256,224,4.47,13.44,28.59
convnext_tiny_hnf,1674.55,152.865,256,224,4.47,13.44,28.59
vit_small_r26_s32_224,1656.11,154.567,256,224,3.56,9.85,36.43
resnetblur101d,1639.84,156.101,256,224,9.12,17.94,44.57
dla102x,1638.98,156.183,256,224,5.89,19.42,26.31
resnet61q,1638.11,156.265,256,288,9.87,21.52,36.85
gmixer_24_224,1615.83,158.42,256,224,5.28,14.45,24.72
vgg16,1592.01,160.79,256,224,15.47,13.56,138.36
xcit_nano_12_p16_384_dist,1580.63,161.949,256,384,1.64,12.15,3.05
regnetx_032,1571.21,162.919,256,224,3.2,11.37,15.3
repvgg_b1g4,1566.48,163.412,256,224,8.15,10.64,39.97
regnetx_040,1550.05,165.143,256,224,3.99,12.2,22.12
twins_svt_small,1531.98,167.089,256,224,2.94,13.75,24.06
seresnext101_32x4d,1528.6,167.459,256,224,8.02,21.26,48.96
gluon_seresnext101_32x4d,1525.5,167.801,256,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1523.33,168.041,256,224,8.02,21.26,48.96
res2net101_26w_4s,1522.04,168.183,256,224,8.1,18.45,45.21
xception,1515.79,168.877,256,299,8.4,35.83,22.86
visformer_small,1505.04,170.081,256,224,4.88,11.43,40.22
botnet50ts_256,1504.07,170.19,256,256,5.54,22.23,22.74
resnest50d_1s4x24d,1495.52,171.166,256,224,4.43,13.57,25.68
resnetv2_50x1_bit_distilled,1491.91,171.579,256,224,4.23,11.11,25.55
resnetv2_152,1488.31,171.994,256,224,11.55,22.56,60.19
efficientnet_el,1485.73,172.293,256,300,8.0,30.7,10.59
efficientnet_el_pruned,1484.88,172.392,256,300,8.0,30.7,10.59
gluon_resnet152_v1b,1466.32,174.574,256,224,11.56,22.56,60.19
crossvit_small_240,1465.43,174.68,256,240,5.63,18.17,26.86
tv_resnet152,1464.76,174.758,256,224,11.56,22.56,60.19
resnet152,1463.7,174.886,256,224,11.56,22.56,60.19
res2net50_26w_8s,1440.77,177.671,256,224,8.37,17.95,48.4
tf_efficientnet_el,1439.79,177.79,256,300,8.0,30.7,10.59
halo2botnet50ts_256,1435.45,178.33,256,256,5.02,21.78,22.64
hrnet_w32,1431.59,178.81,256,224,8.97,22.02,41.23
gluon_resnet152_v1c,1431.14,178.867,256,224,11.8,23.36,60.21
nf_seresnet101,1430.41,178.958,256,224,8.02,16.27,49.33
vgg16_bn,1430.18,178.985,256,224,15.5,13.56,138.37
resnetv2_152d,1427.39,179.335,256,224,11.8,23.36,60.2
resmlp_36_224,1426.81,179.41,256,224,8.91,16.33,44.69
resmlp_36_distilled_224,1426.22,179.484,256,224,8.91,16.33,44.69
nf_ecaresnet101,1423.4,179.839,256,224,8.01,16.27,44.55
mixnet_m,1415.37,180.859,256,224,0.36,8.19,5.01
gluon_resnet152_v1d,1405.52,182.126,256,224,11.8,23.36,60.21
ese_vovnet99b,1395.24,183.468,256,224,16.51,11.27,63.2
gmlp_s16_224,1389.58,184.216,256,224,4.42,15.1,19.42
tf_mixnet_m,1379.18,185.603,256,224,0.36,8.19,5.01
regnety_040,1367.09,187.246,256,224,4.0,12.29,20.65
vit_large_patch32_224,1365.88,187.414,256,224,15.39,13.3,306.54
hrnet_w18,1363.25,187.774,256,224,4.32,16.31,21.3
vit_base_r26_s32_224,1359.83,188.244,256,224,6.81,12.36,101.38
crossvit_15_240,1344.51,190.391,256,240,5.81,19.77,27.53
resnetv2_50d_evob,1343.28,190.567,256,224,4.33,11.92,25.59
ecaresnet50t,1341.42,190.83,256,320,8.82,24.13,25.57
mixer_b16_224,1341.1,190.877,256,224,12.62,14.53,59.88
mixer_b16_224_miil,1340.95,190.898,256,224,12.62,14.53,59.88
vgg19,1334.38,191.835,256,224,19.63,14.86,143.67
regnety_032,1331.17,192.299,256,288,5.29,18.61,19.44
cait_xxs24_224,1325.98,193.051,256,224,2.53,20.29,11.96
gluon_resnet152_v1s,1323.82,193.367,256,224,12.92,24.96,60.32
mixer_l32_224,1320.53,193.849,256,224,11.27,19.86,206.94
skresnext50_32x4d,1317.3,194.322,256,224,4.5,17.18,27.48
xception41,1314.21,194.782,256,299,9.28,39.86,26.97
crossvit_15_dagger_240,1313.12,194.944,256,240,6.13,20.43,28.21
densenet161,1297.86,197.236,256,224,7.79,11.06,28.68
dpn92,1283.16,199.496,256,224,6.54,18.21,37.67
efficientnet_lite4,1279.6,200.05,256,380,4.04,45.66,13.01
tresnet_m,1272.03,201.24,256,224,5.74,7.31,31.39
legacy_seresnet152,1268.99,201.723,256,224,11.33,22.08,66.82
dla169,1257.87,203.505,256,224,11.6,20.2,53.39
seresnet152,1252.8,204.325,256,224,11.57,22.61,66.82
swin_tiny_patch4_window7_224,1250.47,204.71,256,224,4.51,17.06,28.29
vit_base_patch32_384,1245.01,205.608,256,384,13.06,16.5,88.3
repvgg_b2,1240.95,206.281,256,224,20.45,12.9,89.02
twins_pcpvt_small,1237.75,206.812,256,224,3.83,18.08,24.11
inception_v4,1232.0,207.78,256,299,12.28,15.09,42.68
regnetx_080,1230.26,208.073,256,224,8.02,14.06,39.57
convit_small,1215.14,210.662,256,224,5.76,17.87,27.78
vgg19_bn,1208.18,211.876,256,224,19.66,14.86,143.68
xcit_nano_12_p8_224_dist,1199.12,213.478,256,224,2.16,15.71,3.05
xcit_nano_12_p8_224,1193.48,214.486,256,224,2.16,15.71,3.05
hrnet_w30,1182.47,216.483,256,224,8.15,21.21,37.71
tf_efficientnet_lite4,1173.72,218.096,256,380,4.04,45.66,13.01
resnetv2_50d_gn,1171.09,218.587,256,224,4.38,11.92,25.57
vit_tiny_patch16_384,1165.29,219.677,256,384,4.7,25.39,5.79
dla102x2,1162.53,220.196,256,224,9.34,29.91,41.28
regnetx_064,1154.46,221.737,256,224,6.49,16.37,26.21
vit_small_resnet50d_s16_224,1148.12,222.96,256,224,13.48,24.82,57.53
resnest50d,1142.3,224.096,256,224,5.4,14.36,27.48
xcit_tiny_12_p16_384_dist,1120.72,228.412,256,384,3.64,18.26,6.72
nf_regnet_b4,1118.05,228.958,256,384,4.7,28.61,30.21
mixnet_l,1111.69,230.267,256,224,0.58,10.84,7.33
efficientnetv2_s,1109.52,230.718,256,384,8.44,35.77,21.46
resnet50_gn,1084.83,235.97,256,224,4.14,11.11,25.56
tf_efficientnetv2_s,1082.56,236.462,256,384,8.44,35.77,21.46
tf_efficientnetv2_s_in21ft1k,1080.83,236.841,256,384,8.44,35.77,21.46
tf_mixnet_l,1080.28,236.961,256,224,0.58,10.84,7.33
wide_resnet101_2,1080.17,236.987,256,224,22.8,21.23,126.89
gluon_resnext101_64x4d,1075.35,238.048,256,224,15.52,31.21,83.46
dpn98,1075.31,238.059,256,224,11.73,25.2,61.57
eca_nfnet_l0,1073.57,238.443,256,288,7.12,17.29,24.14
resnext101_64x4d,1073.4,238.483,256,224,15.52,31.21,83.46
regnetz_d8,1072.66,238.647,256,320,6.19,37.08,23.37
convnext_small,1068.35,239.61,256,224,8.7,21.56,50.22
nfnet_l0,1067.0,239.911,256,288,7.13,17.29,35.07
resnet200,1062.15,241.009,256,224,15.07,32.19,64.67
resnetrs101,1051.01,243.563,256,288,13.56,28.53,63.62
inception_resnet_v2,1033.59,247.668,256,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,1033.26,247.747,256,299,13.18,25.06,55.84
efficientnetv2_rw_s,1032.33,247.972,256,384,8.72,38.03,23.94
nest_tiny,1020.47,250.854,256,224,5.83,25.48,17.06
coat_lite_small,1020.33,250.888,256,224,3.96,22.09,19.84
jx_nest_tiny,1008.4,253.854,256,224,5.83,25.48,17.06
vit_base_patch16_224_miil,996.21,256.96,256,224,17.58,23.9,86.54
crossvit_18_240,991.56,258.167,256,240,9.05,26.26,43.27
gluon_seresnext101_64x4d,990.21,258.518,256,224,15.53,31.25,88.23
swsl_resnext101_32x8d,977.82,261.793,256,224,16.48,31.21,88.79
ssl_resnext101_32x8d,977.78,261.803,256,224,16.48,31.21,88.79
resnext101_32x8d,976.71,262.092,256,224,16.48,31.21,88.79
resnet101d,976.38,262.181,256,320,16.48,34.77,44.57
ig_resnext101_32x8d,976.0,262.282,256,224,16.48,31.21,88.79
crossvit_18_dagger_240,971.37,263.533,256,240,9.5,27.03,44.27
regnetz_d32,970.52,263.764,256,320,9.33,37.08,27.58
vit_base_patch16_224_sam,969.72,263.98,256,224,17.58,23.9,86.57
deit_base_patch16_224,967.9,264.478,256,224,17.58,23.9,86.57
vit_base_patch16_224,966.99,264.723,256,224,17.58,23.9,86.57
deit_base_distilled_patch16_224,962.72,265.901,256,224,17.68,24.05,87.34
repvgg_b3,962.17,266.052,256,224,29.16,15.1,123.09
resnest50d_4s2x40d,957.24,267.424,256,224,4.4,17.94,30.42
gluon_xception65,952.59,268.729,256,299,13.96,52.48,39.92
efficientnet_b4,950.53,269.31,256,384,4.51,50.04,19.34
xception65,944.4,271.059,256,299,13.96,52.48,39.92
ese_vovnet39b_evos,937.23,273.135,256,224,7.07,6.74,24.58
hrnet_w40,919.71,278.336,256,224,12.75,25.29,57.56
seresnext101_32x8d,905.52,282.696,256,224,16.48,31.25,93.57
twins_pcpvt_base,904.7,282.951,256,224,6.68,25.25,43.83
tf_efficientnet_b4,899.69,284.527,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,899.17,284.692,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,898.81,284.808,256,380,4.49,49.49,19.34
xcit_small_24_p16_224_dist,897.88,285.104,256,224,9.1,23.64,47.67
xcit_small_24_p16_224,897.08,285.357,256,224,9.1,23.64,47.67
beit_base_patch16_224,894.85,286.068,256,224,17.58,23.9,86.53
cait_xxs36_224,891.78,287.055,256,224,3.77,30.34,17.3
twins_svt_base,885.5,289.087,256,224,8.59,26.33,56.07
regnety_080,865.03,295.931,256,224,8.0,17.97,39.18
hrnet_w48,862.23,296.892,256,224,17.34,28.56,77.47
xcit_tiny_12_p8_224_dist,851.38,300.676,256,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,850.38,301.029,256,224,4.81,23.6,6.71
pit_b_224,831.73,307.778,256,224,12.42,32.94,73.76
pit_b_distilled_224,829.76,308.512,256,224,12.5,33.07,74.79
nfnet_f0s,822.42,311.265,256,256,12.62,18.05,71.49
nfnet_f0,820.01,312.18,256,256,12.62,18.05,71.49
swin_small_patch4_window7_224,808.39,316.666,256,224,8.77,27.47,49.61
repvgg_b2g4,805.1,317.961,256,224,12.63,12.9,61.76
resnetv2_50d_evos,799.75,320.087,256,224,4.33,11.92,25.59
convnext_base,795.35,321.858,256,224,15.38,28.75,88.59
convnext_base_in22ft1k,795.35,321.856,256,224,15.38,28.75,88.59
dpn131,790.54,323.815,256,224,16.09,32.97,79.25
regnetx_120,762.35,335.792,256,224,12.13,21.37,46.11
regnety_064,760.83,336.463,256,224,6.39,16.41,30.58
hrnet_w44,758.65,337.428,256,224,14.94,26.92,67.06
densenet264,753.54,339.715,256,224,12.95,12.8,72.69
mixnet_xl,746.77,342.795,256,224,0.93,14.57,11.9
cait_s24_224,746.74,342.81,256,224,9.35,40.58,46.92
regnety_120,732.77,349.348,256,224,12.14,21.38,51.82
dm_nfnet_f0,732.71,349.374,256,256,12.62,18.05,71.49
xception71,724.87,353.154,256,299,18.09,69.92,42.34
coat_tiny,707.44,361.857,256,224,4.35,27.2,5.5
resnet152d,694.55,368.574,256,320,24.08,47.67,60.21
dpn107,691.54,370.175,256,224,18.38,33.46,86.92
hrnet_w64,684.53,373.966,256,224,28.97,35.09,128.06
nest_small,681.18,375.805,256,224,10.35,40.04,38.35
vit_large_r50_s32_224,676.89,378.187,256,224,19.58,24.41,328.99
jx_nest_small,675.63,378.895,256,224,10.35,40.04,38.35
twins_svt_large,674.75,379.385,256,224,15.15,35.1,99.27
seresnet200d,673.13,380.295,256,256,20.01,43.15,71.86
ecaresnet200d,672.08,380.893,256,256,20.0,43.15,64.69
repvgg_b3g4,671.77,381.071,256,224,17.89,15.1,83.83
cspresnext50_iabn,667.96,383.242,256,256,4.02,15.86,20.57
gmlp_b16_224,667.23,383.66,256,224,15.78,30.21,73.08
crossvit_base_240,662.98,386.123,256,240,21.22,36.33,105.03
xcit_medium_24_p16_224_dist,661.18,387.174,256,224,16.13,31.71,84.4
xcit_medium_24_p16_224,660.34,387.669,256,224,16.13,31.71,84.4
tresnet_l,657.41,389.391,256,224,10.88,11.9,55.99
twins_pcpvt_large,657.27,389.474,256,224,9.84,35.82,60.99
gluon_senet154,656.15,390.143,256,224,20.77,38.69,115.09
senet154,655.06,390.791,256,224,20.77,38.69,115.09
legacy_senet154,654.75,390.977,256,224,20.77,38.69,115.09
convit_base,638.4,400.989,256,224,17.52,31.77,86.54
swin_base_patch4_window7_224,617.48,414.571,256,224,15.47,36.63,87.77
ese_vovnet99b_iabn,611.75,418.46,256,224,16.49,11.27,63.2
regnetx_160,608.26,420.859,256,224,15.99,25.52,54.28
cspdarknet53_iabn,603.85,423.936,256,256,6.53,16.81,27.64
resnetrs152,602.36,424.984,256,320,24.34,48.14,86.62
seresnet152d,600.43,426.343,256,320,24.09,47.72,66.84
xcit_tiny_24_p16_384_dist,596.99,428.807,256,384,6.87,34.29,12.12
xcit_small_12_p16_384_dist,594.31,430.737,256,384,14.14,36.51,26.25
coat_mini,592.69,431.92,256,224,6.82,33.68,10.34
vit_small_patch16_384,592.64,431.956,256,384,15.52,50.78,22.2
regnetz_e8,575.64,444.705,256,320,15.46,63.94,57.7
convmixer_768_32,563.29,454.463,256,224,19.55,25.95,21.11
resnest101e,556.07,460.362,256,256,13.38,28.66,48.28
efficientnetv2_m,555.39,460.921,256,416,18.6,67.5,54.14
vit_base_r50_s16_224,554.34,461.796,256,224,21.66,35.29,98.66
vit_small_r26_s32_384,549.37,465.972,256,384,10.43,29.85,36.47
nf_regnet_b5,533.77,479.592,256,456,11.7,61.95,49.74
seresnet269d,524.13,488.41,256,256,26.59,53.6,113.67
nest_base,514.16,497.89,256,224,17.96,53.39,67.72
jx_nest_base,510.9,501.061,256,224,17.96,53.39,67.72
resnet200d,509.84,502.105,256,320,31.25,67.33,64.69
tnt_s_patch16_224,490.75,521.641,256,224,5.24,24.37,23.76
mixnet_xxl,486.35,526.355,256,224,2.04,23.43,23.96
tresnet_xl,476.44,537.307,256,224,15.17,15.34,78.44
convnext_large,476.21,537.564,256,224,34.4,43.13,197.77
eca_nfnet_l1,475.22,538.689,256,320,14.92,34.42,41.41
convnext_large_in22ft1k,475.1,538.817,256,224,34.4,43.13,197.77
efficientnetv2_rw_m,464.7,550.875,256,416,21.49,79.62,53.24
efficientnet_b5,456.59,560.666,256,456,10.46,98.86,30.39
xcit_small_12_p8_224,453.25,564.8,256,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,452.33,565.946,256,224,18.69,47.21,26.21
xcit_tiny_24_p8_224,450.37,568.411,256,224,9.21,45.39,12.11
mixer_l16_224,449.08,570.035,256,224,44.6,41.69,208.2
xcit_tiny_24_p8_224_dist,448.81,570.379,256,224,9.21,45.39,12.11
halonet_h1,448.78,570.426,256,256,3.0,51.17,8.1
vit_large_patch32_384,441.35,580.019,256,384,45.31,43.86,306.63
resnetrs200,436.51,586.457,256,320,31.51,67.81,93.21
tf_efficientnet_b5,434.35,589.365,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,433.75,590.18,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ns,433.48,590.557,256,456,10.46,98.86,30.39
tf_efficientnetv2_m_in21ft1k,410.56,623.518,256,480,24.76,89.84,54.14
tf_efficientnetv2_m,410.47,623.661,256,480,24.76,89.84,54.14
xcit_nano_12_p8_384_dist,410.15,624.154,256,384,6.34,46.08,3.05
regnety_320,406.99,628.99,256,224,32.34,30.26,145.05
regnety_160,405.46,631.367,256,288,26.37,38.07,83.59
xcit_large_24_p16_224_dist,400.4,639.34,256,224,35.86,47.27,189.1
xcit_large_24_p16_224,400.19,639.684,256,224,35.86,47.27,189.1
regnetz_d8_evob,388.06,659.67,256,320,6.12,37.08,23.41
tnt_b_patch16_224,385.58,663.922,256,224,14.09,39.01,65.41
swin_large_patch4_window7_224,383.73,667.122,256,224,34.53,54.94,196.53
resnetv2_50x1_bitm,374.41,683.729,256,448,16.62,44.46,25.55
ssl_resnext101_32x16d,338.57,756.102,256,224,36.27,51.18,194.03
swsl_resnext101_32x16d,338.32,756.674,256,224,36.27,51.18,194.03
ig_resnext101_32x16d,338.18,756.969,256,224,36.27,51.18,194.03
vit_large_patch16_224,326.85,783.223,256,224,61.6,63.52,304.33
convnext_xlarge_in22ft1k,321.97,795.088,256,224,60.97,57.5,350.2
tresnet_m_448,321.59,796.023,256,448,22.94,29.21,31.39
xcit_small_24_p16_384_dist,315.9,810.38,256,384,26.72,68.58,47.67
crossvit_15_dagger_408,307.27,833.13,256,408,21.45,95.05,28.5
nasnetalarge,305.09,839.069,256,331,23.89,90.56,88.75
beit_large_patch16_224,301.03,850.396,256,224,61.6,63.52,304.43
pnasnet5large,294.97,867.879,256,331,25.04,92.89,86.06
xcit_tiny_12_p8_384_dist,290.12,882.382,256,384,14.13,69.14,6.71
ecaresnet269d,282.41,906.484,256,352,50.25,101.25,102.09
nfnet_f1s,278.33,919.751,256,320,35.97,46.77,132.63
nfnet_f1,277.93,921.079,256,320,35.97,46.77,132.63
resnetrs270,274.74,931.762,256,352,51.13,105.48,129.86
convnext_base_384_in22ft1k,274.29,933.296,256,384,45.2,84.49,88.59
resnetv2_152x2_bit_teacher,268.11,954.835,256,224,46.95,45.11,236.34
efficientnet_b6,261.2,490.039,128,528,19.4,167.39,43.04
regnetx_320,257.17,995.447,256,224,31.81,36.3,107.81
vit_base_patch16_384,256.27,998.923,256,384,55.54,101.56,86.86
deit_base_patch16_384,256.23,999.078,256,384,55.54,101.56,86.86
deit_base_distilled_patch16_384,253.03,1011.71,256,384,55.65,101.82,87.63
dm_nfnet_f1,251.34,1018.532,256,320,35.97,46.77,132.63
tf_efficientnet_b6_ns,249.3,513.425,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ap,249.28,513.468,128,528,19.4,167.39,43.04
tf_efficientnet_b6,249.27,513.475,128,528,19.4,167.39,43.04
cait_xxs24_384,240.96,1062.389,256,384,9.63,122.66,12.03
resnetv2_101x1_bitm,237.63,1077.288,256,448,31.65,64.93,44.54
xcit_small_24_p8_224,236.59,1082.038,256,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,236.51,1082.395,256,224,35.81,90.78,47.63
efficientnetv2_l,230.67,1109.79,256,480,56.4,157.99,118.52
xcit_medium_24_p16_384_dist,229.71,1114.433,256,384,47.39,91.64,84.4
crossvit_18_dagger_408,228.55,560.041,128,408,32.47,124.87,44.61
tf_efficientnetv2_l,228.05,1122.527,256,480,56.4,157.99,118.52
eca_nfnet_l2,227.63,1124.623,256,384,30.05,68.28,56.72
tf_efficientnetv2_l_in21ft1k,227.22,1126.624,256,480,56.4,157.99,118.52
vit_large_r50_s32_384,223.83,1143.726,256,384,57.43,76.52,329.09
beit_base_patch16_384,221.26,1157.006,256,384,55.54,101.56,86.74
regnetz_d8_evos,211.13,1212.504,256,320,7.03,38.92,23.46
resmlp_big_24_224,198.32,1290.833,256,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,197.59,1295.599,256,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,197.33,1297.278,256,224,100.23,87.31,129.14
resnest200e,191.82,1334.548,256,320,35.69,82.78,70.2
resnetrs350,182.63,1401.718,256,384,77.59,154.74,163.96
swin_base_patch4_window12_384,171.61,745.879,128,384,47.19,134.78,87.9
cait_xs24_384,171.6,1491.866,256,384,19.28,183.98,26.67
xcit_medium_24_p8_224,171.09,1496.317,256,224,63.53,121.23,84.32
xcit_medium_24_p8_224_dist,171.08,1496.368,256,224,63.53,121.23,84.32
vit_base_patch8_224,170.14,1504.628,256,224,78.22,161.69,86.58
tresnet_l_448,163.98,1561.153,256,448,43.5,47.56,55.99
convnext_large_384_in22ft1k,162.15,1578.727,256,384,101.09,126.74,197.77
cait_xxs36_384,161.38,1586.306,256,384,14.35,183.7,17.37
vit_base_r50_s16_384,161.14,1588.636,256,384,67.43,135.03,98.95
vit_base_resnet50_384,161.06,1589.462,256,384,67.43,135.03,98.95
nfnet_f2s,156.52,1635.579,256,352,63.22,79.06,193.78
efficientnet_b7,156.11,409.945,64,600,38.33,289.94,66.35
nfnet_f2,155.79,1643.217,256,352,63.22,79.06,193.78
xcit_tiny_24_p8_384_dist,152.9,1674.228,256,384,27.05,132.95,12.11
densenet264d_iabn,151.23,1692.723,256,224,13.47,14.0,72.74
xcit_small_12_p8_384_dist,150.53,1700.627,256,384,54.92,138.29,26.21
tf_efficientnet_b7_ns,150.44,425.41,64,600,38.33,289.94,66.35
tf_efficientnet_b7_ap,150.35,425.668,64,600,38.33,289.94,66.35
tf_efficientnet_b7,150.33,425.703,64,600,38.33,289.94,66.35
efficientnetv2_xl,146.15,1751.589,256,512,93.85,247.32,208.12
tf_efficientnetv2_xl_in21ft1k,144.77,1768.278,256,512,93.85,247.32,208.12
dm_nfnet_f2,141.71,1806.539,256,352,63.22,79.06,193.78
xcit_large_24_p16_384_dist,138.32,1850.744,256,384,105.35,137.17,189.1
cait_s24_384,132.94,1925.665,256,384,32.17,245.31,47.06
resnetrs420,132.69,1929.303,256,416,108.45,213.79,191.89
vit_huge_patch14_224,131.53,1946.246,256,224,167.4,139.41,632.05
eca_nfnet_l3,127.14,2013.536,256,448,52.55,118.4,72.04
tresnet_xl_448,120.79,2119.391,256,448,60.65,61.31,78.44
efficientnet_cc_b0_8e,117.25,8.519,1,224,0.42,9.42,24.01
efficientnet_cc_b0_4e,114.89,8.693,1,224,0.41,9.42,13.31
convnext_xlarge_384_in22ft1k,110.42,1159.152,128,384,179.18,168.99,350.2
tf_efficientnet_cc_b0_8e,109.13,9.153,1,224,0.42,9.42,24.01
swin_large_patch4_window12_384,108.07,1184.415,128,384,104.08,202.16,196.74
tf_efficientnet_cc_b0_4e,106.38,9.39,1,224,0.41,9.42,13.31
xcit_large_24_p8_224,103.21,2480.29,256,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,103.09,2483.315,256,224,141.23,181.56,188.93
efficientnet_b8,95.86,667.618,64,672,63.48,442.89,87.41
resnetv2_152x2_bit_teacher_384,93.91,2726.129,256,384,136.16,132.56,236.34
tf_efficientnet_b8,93.03,687.97,64,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,92.99,688.234,64,672,63.48,442.89,87.41
resnetv2_50x3_bitm,90.18,1419.305,128,448,145.7,133.37,217.32
resnest269e,90.1,2841.126,256,416,77.69,171.98,110.93
cait_s36_384,88.82,2882.347,256,384,47.99,367.4,68.37
vit_large_patch16_384,88.44,2894.698,256,384,191.21,270.24,304.72
vit_giant_patch14_224,87.02,2941.98,256,224,267.18,192.64,1012.61
nfnet_f3s,85.07,3009.339,256,416,115.58,141.78,254.92
nfnet_f3,84.65,3024.233,256,416,115.58,141.78,254.92
efficientnet_cc_b1_8e,83.46,11.971,1,240,0.75,15.44,39.72
convmixer_1024_20_ks9_p14,81.44,3143.542,256,224,5.55,5.51,24.38
xcit_small_24_p8_384_dist,78.98,3241.259,256,384,105.24,265.91,47.63
beit_large_patch16_384,77.03,3323.174,256,384,191.21,270.24,305.0
dm_nfnet_f3,76.93,3327.777,256,416,115.58,141.78,254.92
tf_efficientnet_cc_b1_8e,76.09,13.131,1,240,0.75,15.44,39.72
resnetv2_152x2_bitm,68.83,1859.681,128,448,184.99,180.43,236.34
xcit_medium_24_p8_384_dist,58.64,4365.679,256,384,186.67,354.73,84.32
resnetv2_101x3_bitm,55.09,2323.244,128,448,280.33,194.78,387.93
vit_gigantic_patch14_224,52.92,4837.231,256,224,483.95,275.37,1844.44
nfnet_f4s,45.21,5662.39,256,512,216.26,262.26,316.07
nfnet_f4,45.13,5672.08,256,512,216.26,262.26,316.07
dm_nfnet_f4,41.12,6225.397,256,512,216.26,262.26,316.07
xcit_large_24_p8_384_dist,35.18,3638.243,128,384,415.0,531.82,188.93
nfnet_f5s,33.4,7663.628,256,544,290.97,349.71,377.21
nfnet_f5,33.22,7705.647,256,544,290.97,349.71,377.21
beit_large_patch16_512,31.23,2049.459,64,512,362.24,656.39,305.67
cait_m36_384,30.6,8365.416,256,384,173.11,734.81,271.22
dm_nfnet_f5,30.51,8392.012,256,544,290.97,349.71,377.21
nfnet_f6s,24.87,10292.837,256,576,378.69,452.2,438.36
nfnet_f6,24.74,10346.138,256,576,378.69,452.2,438.36
dm_nfnet_f6,23.05,11108.286,256,576,378.69,452.2,438.36
nfnet_f7s,19.54,13099.713,256,608,480.39,570.85,499.5
nfnet_f7,19.47,13146.917,256,608,480.39,570.85,499.5
resnetv2_152x4_bitm,17.96,3562.952,64,480,844.84,414.26,936.53
cait_m48_448,13.23,9672.182,128,448,329.41,1708.23,356.46
convmixer_1536_20,13.15,19467.539,256,224,48.68,33.03,51.63
1 model infer_samples_per_sec infer_step_time infer_batch_size infer_img_size infer_gmacs infer_macts param_count
2 tinynet_e 52443.33 4.87 256 106 0.03 0.69 2.04
3 lcnet_035 41836.65 6.108 256 224 0.03 1.04 1.64
4 mobilenetv3_small_050 40675.32 6.283 256 224 0.03 0.92 1.59
5 lcnet_050 37031.22 6.902 256 224 0.05 1.26 1.88
6 mobilenetv3_small_075 33134.36 7.715 256 224 0.05 1.3 2.04
7 mobilenetv3_small_100 30332.75 8.428 256 224 0.06 1.42 2.54
8 tinynet_d 29729.64 8.599 256 152 0.05 1.42 2.34
9 tf_mobilenetv3_small_minimal_100 28698.97 8.909 256 224 0.06 1.41 2.04
10 tf_mobilenetv3_small_075 27515.61 9.292 256 224 0.05 1.3 2.04
11 tf_mobilenetv3_small_100 25529.73 10.016 256 224 0.06 1.42 2.54
12 lcnet_075 25351.21 10.087 256 224 0.1 1.99 2.36
13 lcnet_100 21251.26 12.035 256 224 0.16 2.52 2.95
14 mnasnet_small 20610.12 12.41 256 224 0.07 2.16 2.03
15 levit_128s 18679.12 13.694 256 224 0.31 1.88 7.78
16 mobilenetv2_035 18422.82 13.885 256 224 0.07 2.86 1.68
17 ghostnet_050 17065.19 14.99 256 224 0.05 1.77 2.59
18 regnetx_002 17008.51 15.04 256 224 0.2 2.16 2.68
19 mnasnet_050 16943.72 15.098 256 224 0.11 3.07 2.22
20 tinynet_c 16089.67 15.9 256 184 0.11 2.87 2.46
21 mobilenetv2_050 15226.35 16.802 256 224 0.1 3.64 1.97
22 regnety_002 15182.41 16.851 256 224 0.2 2.17 3.16
23 semnasnet_050 14956.97 17.104 256 224 0.11 3.44 2.08
24 lcnet_150 14301.96 17.889 256 224 0.34 3.79 4.5
25 regnetx_004 13656.57 18.735 256 224 0.4 3.14 5.16
26 gernet_s 13307.64 19.226 256 224 0.75 2.65 8.17
27 mobilenetv3_large_075 12875.59 19.872 256 224 0.16 4.0 3.99
28 levit_128 12869.05 19.881 256 224 0.41 2.71 9.21
29 mnasnet_075 11851.07 21.591 256 224 0.23 4.77 3.17
30 mobilenetv3_rw 11749.18 21.778 256 224 0.23 4.41 5.48
31 hardcorenas_a 11724.1 21.825 256 224 0.23 4.38 5.26
32 mobilenetv3_large_100 11546.8 22.16 256 224 0.23 4.41 5.48
33 mobilenetv3_large_100_miil 11527.85 22.196 256 224 0.23 4.41 5.48
34 levit_192 11521.32 22.208 256 224 0.66 3.2 10.95
35 tf_mobilenetv3_large_075 11097.44 23.056 256 224 0.16 4.0 3.99
36 ese_vovnet19b_slim_dw 11011.34 23.237 256 224 0.4 5.28 1.9
37 tf_mobilenetv3_large_minimal_100 10807.48 23.676 256 224 0.22 4.4 3.92
38 tinynet_b 10794.3 23.705 256 188 0.21 4.44 3.73
39 hardcorenas_b 10649.59 24.027 256 224 0.26 5.09 5.18
40 hardcorenas_c 10616.11 24.103 256 224 0.28 5.01 5.52
41 mnasnet_100 10429.97 24.534 256 224 0.33 5.46 4.38
42 mnasnet_b1 10405.42 24.591 256 224 0.33 5.46 4.38
43 mixer_s32_224 10314.02 24.809 256 224 1.0 2.28 19.1
44 ssl_resnet18 10228.31 25.016 256 224 1.82 2.48 11.69
45 gluon_resnet18_v1b 10218.86 25.04 256 224 1.82 2.48 11.69
46 swsl_resnet18 10183.71 25.126 256 224 1.82 2.48 11.69
47 resnet18 10180.53 25.135 256 224 1.82 2.48 11.69
48 tf_mobilenetv3_large_100 10049.81 25.462 256 224 0.23 4.41 5.48
49 ghostnet_100 9984.48 25.628 256 224 0.15 3.55 5.18
50 mobilenetv2_075 9980.04 25.64 256 224 0.22 5.86 2.64
51 semnasnet_075 9964.54 25.68 256 224 0.23 5.54 2.91
52 hardcorenas_d 9736.47 26.282 256 224 0.3 4.93 7.5
53 seresnet18 9448.37 27.084 256 224 1.82 2.49 11.78
54 spnasnet_100 9378.19 27.285 256 224 0.35 6.03 4.42
55 vit_small_patch32_224 9330.47 27.426 256 224 1.15 2.5 22.88
56 regnety_006 9290.2 27.545 256 224 0.61 4.33 6.06
57 legacy_seresnet18 9195.77 27.828 256 224 1.82 2.49 11.78
58 mobilenetv2_100 8931.8 28.65 256 224 0.31 6.68 3.5
59 regnety_004 8913.44 28.71 256 224 0.41 3.89 4.34
60 semnasnet_100 8878.3 28.823 256 224 0.32 6.23 3.89
61 mnasnet_a1 8872.5 28.841 256 224 0.32 6.23 3.89
62 hardcorenas_f 8746.45 29.258 256 224 0.35 5.57 8.2
63 tinynet_a 8705.83 29.394 256 192 0.35 5.41 6.19
64 efficientnet_lite0 8678.08 29.489 256 224 0.4 6.74 4.65
65 levit_256 8605.17 29.738 256 224 1.13 4.23 18.89
66 fbnetc_100 8589.17 29.794 256 224 0.4 6.51 5.57
67 hardcorenas_e 8587.1 29.801 256 224 0.35 5.65 8.07
68 resnet18d 8454.18 30.27 256 224 2.06 3.29 11.71
69 tf_efficientnetv2_b0 8451.14 30.28 256 224 0.73 4.77 7.14
70 ese_vovnet19b_slim 8409.91 30.429 256 224 1.69 3.52 3.17
71 regnetx_008 8190.92 31.242 256 224 0.81 5.15 7.26
72 vit_tiny_r_s16_p8_224 8188.54 31.252 256 224 0.44 2.06 6.34
73 regnetx_006 7654.81 33.432 256 224 0.61 3.98 6.2
74 ghostnet_130 7516.11 34.049 256 224 0.24 4.6 7.36
75 tf_efficientnet_lite0 7513.34 34.061 256 224 0.4 6.74 4.65
76 regnety_008 7334.93 34.89 256 224 0.81 5.25 6.26
77 mnasnet_140 7212.43 35.483 256 224 0.6 7.71 7.12
78 efficientnet_b0 7189.76 35.595 256 224 0.4 6.75 5.29
79 rexnetr_100 6816.78 37.543 256 224 0.43 7.72 4.88
80 mobilenetv2_110d 6785.21 37.718 256 224 0.45 8.71 4.52
81 tf_efficientnet_b0_ns 6397.82 40.002 256 224 0.4 6.75 5.29
82 tf_efficientnet_b0_ap 6366.01 40.201 256 224 0.4 6.75 5.29
83 tf_efficientnet_b0 6345.74 40.33 256 224 0.4 6.75 5.29
84 hrnet_w18_small 6240.1 41.014 256 224 1.61 5.72 13.19
85 semnasnet_140 6194.36 41.317 256 224 0.6 8.87 6.11
86 ese_vovnet19b_dw 6016.74 42.537 256 224 1.34 8.25 6.54
87 mobilenetv2_140 6010.52 42.581 256 224 0.6 9.57 6.11
88 resnet34 5949.09 43.021 256 224 3.67 3.74 21.8
89 gluon_resnet34_v1b 5944.0 43.057 256 224 3.67 3.74 21.8
90 tv_resnet34 5920.52 43.227 256 224 3.67 3.74 21.8
91 gernet_m 5909.18 43.311 256 224 3.02 5.24 21.14
92 efficientnet_lite1 5815.72 44.007 256 240 0.62 10.14 5.42
93 selecsls42 5752.79 44.489 256 224 2.94 4.62 30.35
94 selecsls42b 5752.33 44.492 256 224 2.98 4.62 32.46
95 fbnetv3_b 5567.33 45.971 256 256 0.55 9.1 8.6
96 efficientnet_b1_pruned 5558.39 46.045 256 240 0.4 6.21 6.33
97 resnet26 5532.69 46.26 256 224 2.36 7.35 16.0
98 skresnet18 5529.57 46.284 256 224 1.82 3.24 11.96
99 efficientnet_es_pruned 5519.91 46.366 256 224 1.81 8.73 5.44
100 efficientnet_es 5518.49 46.378 256 224 1.81 8.73 5.44
101 tf_efficientnetv2_b1 5515.51 46.402 256 240 1.21 7.34 8.14
102 rexnet_100 5500.83 46.527 256 224 0.41 7.44 4.8
103 dla46_c 5464.03 46.84 256 224 0.58 4.5 1.3
104 seresnet34 5439.78 47.05 256 224 3.67 3.74 21.96
105 resnet34d 5325.4 48.06 256 224 3.91 4.54 21.82
106 resnetblur18 5301.3 48.279 256 224 2.34 3.39 11.69
107 legacy_seresnet34 5280.08 48.473 256 224 3.67 3.74 21.96
108 rexnetr_130 5239.92 48.845 256 224 0.68 9.81 7.61
109 tf_efficientnet_es 5226.26 48.971 256 224 1.81 8.73 5.44
110 tf_efficientnet_lite1 5192.67 49.288 256 240 0.62 10.14 5.42
111 levit_384 5136.88 49.824 256 224 2.36 6.26 39.13
112 nf_regnet_b0 5081.73 50.365 256 256 0.64 5.58 8.76
113 selecsls60 5015.37 51.032 256 224 3.59 5.52 30.67
114 selecsls60b 5008.51 51.102 256 224 3.63 5.52 32.77
115 mobilenetv2_120d 5006.42 51.123 256 224 0.69 11.97 5.83
116 repvgg_b0 4831.81 52.969 256 224 3.41 6.15 15.82
117 resnet26d 4774.01 53.612 256 224 2.6 8.15 16.01
118 rexnetr_150 4621.39 55.383 256 224 0.89 11.13 9.78
119 fbnetv3_d 4543.95 56.327 256 256 0.68 11.1 10.31
120 nf_resnet26 4522.01 56.601 256 224 2.41 7.35 16.0
121 deit_tiny_patch16_224 4516.94 56.664 256 224 1.26 5.97 5.72
122 visformer_tiny 4514.36 56.695 256 224 1.27 5.72 10.32
123 vit_tiny_patch16_224 4509.39 56.76 256 224 1.26 5.97 5.72
124 efficientnet_lite2 4476.87 57.171 256 260 0.89 12.9 6.09
125 xcit_nano_12_p16_224_dist 4461.13 57.373 256 224 0.56 4.17 3.05
126 deit_tiny_distilled_patch16_224 4450.37 57.513 256 224 1.27 6.01 5.91
127 xcit_nano_12_p16_224 4443.48 57.6 256 224 0.56 4.17 3.05
128 pit_ti_distilled_224 4267.82 59.972 256 224 0.71 6.23 5.1
129 pit_ti_224 4256.93 60.125 256 224 0.7 6.19 4.85
130 resmlp_12_distilled_224 4163.6 61.475 256 224 3.01 5.5 15.35
131 resmlp_12_224 4160.41 61.521 256 224 3.01 5.5 15.35
132 gernet_l 4096.96 62.474 256 256 4.57 8.0 31.08
133 tf_efficientnetv2_b2 4081.75 62.706 256 260 1.72 9.84 10.1
134 legacy_seresnext26_32x4d 4060.33 63.037 256 224 2.49 9.39 16.79
135 tf_efficientnet_b1 4046.06 63.259 256 240 0.71 10.88 7.79
136 tf_efficientnet_b1_ap 4044.6 63.282 256 240 0.71 10.88 7.79
137 tf_efficientnet_b1_ns 4042.64 63.313 256 240 0.71 10.88 7.79
138 tf_efficientnet_lite2 4027.76 63.547 256 260 0.89 12.9 6.09
139 resnext26ts 3956.89 64.685 256 256 2.43 10.52 10.3
140 dla46x_c 3913.74 65.398 256 224 0.54 5.66 1.07
141 efficientnet_b1 3903.13 65.577 256 256 0.77 12.22 7.79
142 dla34 3901.31 65.607 256 224 3.07 5.02 15.74
143 mixer_b32_224 3872.36 66.099 256 224 3.24 6.29 60.29
144 rexnet_130 3847.96 66.517 256 224 0.68 9.71 7.56
145 vit_base_patch32_224_sam 3843.13 66.599 256 224 4.41 5.01 88.22
146 nf_seresnet26 3833.86 66.763 256 224 2.41 7.36 17.4
147 eca_resnext26ts 3823.14 66.95 256 256 2.43 10.52 10.3
148 vit_base_patch32_224 3821.26 66.98 256 224 4.41 5.01 88.22
149 nf_ecaresnet26 3821.0 66.987 256 224 2.41 7.36 16.0
150 seresnext26ts 3814.04 67.108 256 256 2.43 10.52 10.39
151 dla60x_c 3762.66 68.025 256 224 0.59 6.01 1.32
152 efficientnet_b2_pruned 3734.36 68.542 256 260 0.73 9.13 8.31
153 regnetx_016 3682.98 69.498 256 224 1.62 7.93 9.19
154 resnet26t 3677.69 69.597 256 256 3.35 10.52 16.01
155 gcresnext26ts 3645.26 70.216 256 256 2.43 10.53 10.48
156 rexnet_150 3639.9 70.32 256 224 0.9 11.21 9.73
157 seresnext26tn_32x4d 3635.04 70.413 256 224 2.7 10.09 16.81
158 seresnext26t_32x4d 3629.32 70.524 256 224 2.7 10.09 16.81
159 ecaresnext50t_32x4d 3625.17 70.606 256 224 2.7 10.09 15.41
160 seresnext26d_32x4d 3620.48 70.696 256 224 2.73 10.19 16.81
161 ecaresnet50d_pruned 3618.55 70.735 256 224 2.53 6.43 19.94
162 ecaresnext26t_32x4d 3617.96 70.747 256 224 2.7 10.09 15.41
163 resnetv2_50 3573.69 71.622 256 224 4.11 11.11 25.55
164 eca_botnext26ts_256 3538.36 72.339 256 256 2.46 11.6 10.59
165 repvgg_a2 3525.89 72.594 256 224 5.7 6.26 28.21
166 pit_xs_224 3490.24 73.336 256 224 1.4 7.71 10.62
167 mixer_s16_224 3485.97 73.426 256 224 3.79 5.97 18.53
168 pit_xs_distilled_224 3470.1 73.761 256 224 1.41 7.76 11.0
169 eca_halonext26ts 3433.36 74.552 256 256 2.44 11.46 10.76
170 gluon_resnet50_v1b 3424.93 74.734 256 224 4.11 11.11 25.56
171 rexnetr_200 3422.25 74.791 256 224 1.59 15.11 16.52
172 ssl_resnet50 3418.93 74.864 256 224 4.11 11.11 25.56
173 resnet50 3416.87 74.911 256 224 4.11 11.11 25.56
174 tv_resnet50 3416.58 74.915 256 224 4.11 11.11 25.56
175 swsl_resnet50 3415.95 74.931 256 224 4.11 11.11 25.56
176 ecaresnetlight 3410.59 75.049 256 224 4.11 8.42 30.16
177 efficientnet_em 3345.86 76.5 256 240 3.04 14.34 6.9
178 dpn68b 3321.6 77.058 256 224 2.35 10.47 12.61
179 dpn68 3321.37 77.064 256 224 2.35 10.47 12.61
180 resnet32ts 3318.56 77.131 256 256 4.63 11.58 17.96
181 botnet26t_256 3309.73 77.335 256 256 3.32 11.98 12.49
182 resnet33ts 3269.93 78.278 256 256 4.76 11.66 19.68
183 resnetv2_50t 3252.33 78.701 256 224 4.32 11.82 25.57
184 halonet26t 3247.75 78.812 256 256 3.19 11.69 12.48
185 resnetv2_50d 3238.36 79.041 256 224 4.35 11.92 25.57
186 gluon_resnet50_v1c 3234.34 79.139 256 224 4.35 11.92 25.58
187 nf_regnet_b1 3220.71 79.473 256 288 1.02 9.2 10.22
188 tf_efficientnet_em 3211.19 79.71 256 240 3.04 14.34 6.9
189 nf_regnet_b2 3198.33 80.03 256 272 1.22 9.27 14.31
190 xcit_tiny_12_p16_224_dist 3183.42 80.405 256 224 1.24 6.29 6.72
191 xcit_tiny_12_p16_224 3177.02 80.567 256 224 1.24 6.29 6.72
192 regnety_016 3168.83 80.775 256 224 1.63 8.04 11.2
193 gmixer_12_224 3164.43 80.888 256 224 2.67 7.26 12.7
194 tf_efficientnet_b2_ap 3144.11 81.41 256 260 1.02 13.83 9.11
195 tf_efficientnet_b2 3133.02 81.698 256 260 1.02 13.83 9.11
196 eca_resnet33ts 3132.75 81.706 256 256 4.76 11.66 19.68
197 seresnet33ts 3132.5 81.713 256 256 4.76 11.66 19.78
198 skresnet34 3122.38 81.975 256 224 3.67 5.13 22.28
199 resnet50t 3114.92 82.173 256 224 4.32 11.82 25.57
200 tf_efficientnet_b2_ns 3112.24 82.244 256 260 1.02 13.83 9.11
201 gluon_resnet50_v1d 3111.66 82.259 256 224 4.35 11.92 25.58
202 resnet50d 3107.36 82.374 256 224 4.35 11.92 25.58
203 vovnet39a 3097.06 82.648 256 224 7.09 6.73 22.6
204 bat_resnext26ts 3052.18 83.861 256 256 2.53 12.51 10.73
205 legacy_seresnet50 3043.79 84.094 256 224 3.88 10.6 28.09
206 cspresnext50 3003.53 85.222 256 224 3.1 12.14 20.57
207 gcresnet33ts 2986.89 85.696 256 256 4.76 11.68 19.88
208 selecsls84 2981.3 85.857 256 224 5.9 7.57 50.95
209 vit_small_patch32_384 2981.2 85.86 256 384 3.45 8.25 22.92
210 ese_vovnet39b 2975.03 86.038 256 224 7.09 6.74 24.57
211 efficientnet_b2a 2964.53 86.343 256 288 1.12 16.2 9.11
212 efficientnet_b2 2962.37 86.406 256 288 1.12 16.2 9.11
213 eca_vovnet39b 2962.13 86.413 256 224 7.09 6.74 22.6
214 res2net50_48w_2s 2946.94 86.858 256 224 4.18 11.72 25.29
215 seresnet50 2942.22 86.998 256 224 4.11 11.13 28.09
216 efficientnet_b3_pruned 2917.98 87.72 256 300 1.04 11.86 9.86
217 haloregnetz_b 2882.69 88.795 256 224 1.97 11.94 11.68
218 vit_small_resnet26d_224 2880.85 88.851 256 224 5.07 11.12 63.61
219 vgg11 2809.5 91.106 256 224 7.61 7.44 132.86
220 gluon_resnext50_32x4d 2797.04 91.514 256 224 4.26 14.4 25.03
221 swsl_resnext50_32x4d 2795.88 91.552 256 224 4.26 14.4 25.03
222 tv_resnext50_32x4d 2795.77 91.554 256 224 4.26 14.4 25.03
223 mixnet_s 2795.45 91.566 256 224 0.25 6.25 4.13
224 ssl_resnext50_32x4d 2795.35 91.567 256 224 4.26 14.4 25.03
225 resnext50_32x4d 2795.04 91.578 256 224 4.26 14.4 25.03
226 resnetaa50d 2786.19 91.87 256 224 5.39 12.44 25.58
227 ecaresnet101d_pruned 2770.2 92.4 256 224 3.48 7.69 24.88
228 densenet121 2765.59 92.554 256 224 2.87 6.9 7.98
229 tv_densenet121 2754.97 92.91 256 224 2.87 6.9 7.98
230 gluon_resnet50_v1s 2746.47 93.198 256 224 5.47 13.52 25.68
231 rexnet_200 2741.96 93.353 256 224 1.56 14.91 16.37
232 cspresnet50 2739.95 93.42 256 256 4.54 11.5 21.62
233 seresnet50t 2715.96 94.246 256 224 4.32 11.83 28.1
234 resnetrs50 2709.47 94.471 256 224 4.48 12.14 35.69
235 crossvit_tiny_240 2698.8 94.845 256 240 1.57 9.08 7.01
236 ecaresnet50d 2695.97 94.946 256 224 4.35 11.93 25.58
237 tf_mixnet_s 2668.56 95.92 256 224 0.25 6.25 4.13
238 dla60 2658.15 96.295 256 224 4.26 10.16 22.04
239 crossvit_9_240 2646.19 96.732 256 240 1.85 9.52 8.55
240 densenet121d 2643.5 96.83 256 224 3.11 7.7 8.0
241 efficientnet_lite3 2630.67 97.302 256 300 1.65 21.85 8.2
242 convit_tiny 2612.77 97.969 256 224 1.26 7.94 5.71
243 hrnet_w18_small_v2 2612.23 97.989 256 224 2.62 9.65 15.6
244 crossvit_9_dagger_240 2607.67 98.16 256 240 1.99 9.97 8.78
245 regnetz_b16 2592.86 98.722 256 288 2.39 16.43 9.72
246 resnext50d_32x4d 2582.77 99.107 256 224 4.5 15.2 25.05
247 cspresnet50d 2577.78 99.299 256 256 4.86 12.55 21.64
248 cspresnet50w 2560.3 99.977 256 256 5.04 12.19 28.12
249 vgg11_bn 2537.64 100.869 256 224 7.62 7.44 132.87
250 vovnet57a 2533.31 101.041 256 224 8.95 7.52 36.64
251 resnetblur50 2528.53 101.233 256 224 5.16 12.02 25.56
252 gmlp_ti16_224 2479.86 103.22 256 224 1.34 7.55 5.87
253 seresnext50_32x4d 2470.29 103.618 256 224 4.26 14.42 27.56
254 legacy_seresnext50_32x4d 2466.47 103.78 256 224 4.26 14.42 27.56
255 seresnetaa50d 2460.49 104.031 256 224 5.4 12.46 28.11
256 gluon_seresnext50_32x4d 2457.31 104.168 256 224 4.26 14.42 27.56
257 fbnetv3_g 2441.71 104.833 256 288 1.77 21.09 16.62
258 res2net50_26w_4s 2439.77 104.916 256 224 4.28 12.61 25.7
259 ese_vovnet57b 2429.1 105.377 256 224 8.95 7.52 38.61
260 vit_tiny_r_s16_p8_384 2420.04 105.772 256 384 1.34 6.49 6.36
261 gcresnet50t 2406.95 106.347 256 256 5.42 14.67 25.9
262 adv_inception_v3 2387.53 107.209 256 299 5.73 8.97 23.83
263 inception_v3 2378.4 107.624 256 299 5.73 8.97 23.83
264 gluon_inception_v3 2378.14 107.635 256 299 5.73 8.97 23.83
265 dla60x 2376.48 107.71 256 224 3.54 13.8 17.35
266 efficientnetv2_rw_t 2371.59 107.933 256 288 3.19 16.42 13.65
267 tf_inception_v3 2369.67 108.018 256 299 5.73 8.97 23.83
268 densenetblur121d 2366.44 108.168 256 224 3.11 7.9 8.0
269 tf_efficientnet_lite3 2359.22 108.498 256 300 1.65 21.85 8.2
270 resnetblur50d 2356.51 108.624 256 224 5.4 12.82 25.58
271 nf_seresnet50 2321.05 110.283 256 224 4.21 11.13 28.09
272 lambda_resnet26rpt_256 2319.42 110.361 256 256 3.16 11.87 10.99
273 tf_efficientnetv2_b3 2313.61 110.636 256 300 3.04 15.74 14.36
274 nf_ecaresnet50 2312.19 110.706 256 224 4.21 11.13 25.56
275 resnest14d 2311.92 110.718 256 224 2.76 7.33 10.61
276 deit_small_patch16_224 2305.42 111.031 256 224 4.61 11.95 22.05
277 pit_s_224 2300.71 111.258 256 224 2.88 11.56 23.46
278 vit_small_patch16_224 2295.85 111.494 256 224 4.61 11.95 22.05
279 pit_s_distilled_224 2281.8 112.18 256 224 2.9 11.64 24.04
280 densenet169 2278.65 112.335 256 224 3.4 7.3 14.15
281 vit_base_resnet26d_224 2268.07 112.857 256 224 6.97 13.16 101.4
282 deit_small_distilled_patch16_224 2267.44 112.892 256 224 4.63 12.02 22.44
283 skresnet50 2244.08 114.064 256 224 4.11 12.5 25.8
284 darknet53 2213.23 115.656 256 256 9.31 12.39 41.61
285 sehalonet33ts 2208.53 115.902 256 256 3.55 14.7 13.69
286 res2net50_14w_8s 2201.46 116.274 256 224 4.21 13.28 25.06
287 gc_efficientnetv2_rw_t 2198.9 116.41 256 288 3.2 16.45 13.68
288 gcresnext50ts 2187.09 117.039 256 256 3.75 15.46 15.67
289 resnetv2_101 2146.17 119.27 256 224 7.83 16.23 44.54
290 resmlp_24_224 2127.24 120.334 256 224 5.96 10.91 30.02
291 resmlp_24_distilled_224 2125.15 120.451 256 224 5.96 10.91 30.02
292 skresnet50d 2105.03 121.599 256 224 4.36 13.31 25.82
293 gluon_resnet101_v1b 2098.13 122.001 256 224 7.83 16.23 44.55
294 tv_resnet101 2095.51 122.152 256 224 7.83 16.23 44.55
295 resnet101 2094.89 122.19 256 224 7.83 16.23 44.55
296 res2next50 2089.9 122.482 256 224 4.2 13.71 24.67
297 ecaresnet26t 2087.45 122.626 256 320 5.24 16.44 16.01
298 dla60_res2net 2078.29 123.165 256 224 4.15 12.34 20.85
299 nf_regnet_b3 2039.85 125.487 256 320 2.05 14.61 18.59
300 gluon_resnet101_v1c 2026.41 126.32 256 224 8.08 17.04 44.57
301 resnetv2_101d 2021.62 126.619 256 224 8.07 17.04 44.56
302 gluon_resnet101_v1d 1976.83 129.488 256 224 8.08 17.04 44.57
303 vgg13 1972.22 129.79 256 224 11.31 12.25 133.05
304 wide_resnet50_2 1932.56 132.455 256 224 11.43 14.4 68.88
305 sebotnet33ts_256 1892.63 135.25 256 256 3.89 17.46 13.7
306 repvgg_b1 1864.64 137.281 256 224 13.16 10.64 57.42
307 resnetaa101d 1840.38 139.09 256 224 9.12 17.56 44.57
308 legacy_seresnet101 1838.54 139.229 256 224 7.61 15.74 49.33
309 resnet51q 1828.83 139.968 256 288 8.07 20.94 35.7
310 gluon_resnet101_v1s 1822.02 140.491 256 224 9.19 18.64 44.67
311 dla102 1820.91 140.577 256 224 7.19 14.18 33.27
312 dla60_res2next 1817.78 140.818 256 224 3.49 13.17 17.03
313 coat_lite_tiny 1811.49 141.309 256 224 1.6 11.65 5.72
314 vit_base_resnet50d_224 1807.55 141.614 256 224 8.73 16.92 110.97
315 tf_efficientnet_b3 1803.3 141.948 256 300 1.87 23.83 12.23
316 tf_efficientnet_b3_ap 1802.94 141.978 256 300 1.87 23.83 12.23
317 tf_efficientnet_b3_ns 1802.1 142.043 256 300 1.87 23.83 12.23
318 cspdarknet53 1801.31 142.107 256 256 6.57 16.81 27.64
319 seresnet101 1796.92 142.453 256 224 7.84 16.27 49.33
320 efficientnet_b3 1780.99 143.727 256 320 2.01 26.52 12.23
321 efficientnet_b3a 1780.57 143.761 256 320 2.01 26.52 12.23
322 densenet201 1754.6 145.89 256 224 4.34 7.85 20.01
323 vgg13_bn 1750.09 146.264 256 224 11.33 12.25 133.05
324 ssl_resnext101_32x4d 1737.01 147.366 256 224 8.01 21.23 44.18
325 resnext101_32x4d 1736.55 147.407 256 224 8.01 21.23 44.18
326 gluon_resnext101_32x4d 1736.42 147.419 256 224 8.01 21.23 44.18
327 swsl_resnext101_32x4d 1735.28 147.514 256 224 8.01 21.23 44.18
328 halonet50ts 1731.56 147.831 256 256 5.3 19.2 22.73
329 res2net50_26w_6s 1726.13 148.297 256 224 6.33 15.28 37.05
330 nf_resnet101 1725.55 148.347 256 224 8.01 16.23 44.55
331 coat_lite_mini 1724.07 148.474 256 224 2.0 12.25 11.01
332 regnetz_c16 1702.47 150.358 256 320 3.92 25.88 13.46
333 nf_resnet50 1701.7 150.426 256 288 6.88 18.37 25.56
334 ecaresnet101d 1699.81 150.594 256 224 8.08 17.07 44.57
335 xcit_tiny_24_p16_224_dist 1697.25 150.82 256 224 2.34 11.82 12.12
336 xcit_tiny_24_p16_224 1694.56 151.06 256 224 2.34 11.82 12.12
337 xcit_small_12_p16_224_dist 1690.19 151.45 256 224 4.82 12.58 26.25
338 xcit_small_12_p16_224 1687.09 151.729 256 224 4.82 12.58 26.25
339 resnest26d 1686.65 151.769 256 224 3.64 9.97 17.07
340 convnext_tiny 1676.02 152.729 256 224 4.47 13.44 28.59
341 convnext_tiny_hnf 1674.55 152.865 256 224 4.47 13.44 28.59
342 vit_small_r26_s32_224 1656.11 154.567 256 224 3.56 9.85 36.43
343 resnetblur101d 1639.84 156.101 256 224 9.12 17.94 44.57
344 dla102x 1638.98 156.183 256 224 5.89 19.42 26.31
345 resnet61q 1638.11 156.265 256 288 9.87 21.52 36.85
346 gmixer_24_224 1615.83 158.42 256 224 5.28 14.45 24.72
347 vgg16 1592.01 160.79 256 224 15.47 13.56 138.36
348 xcit_nano_12_p16_384_dist 1580.63 161.949 256 384 1.64 12.15 3.05
349 regnetx_032 1571.21 162.919 256 224 3.2 11.37 15.3
350 repvgg_b1g4 1566.48 163.412 256 224 8.15 10.64 39.97
351 regnetx_040 1550.05 165.143 256 224 3.99 12.2 22.12
352 twins_svt_small 1531.98 167.089 256 224 2.94 13.75 24.06
353 seresnext101_32x4d 1528.6 167.459 256 224 8.02 21.26 48.96
354 gluon_seresnext101_32x4d 1525.5 167.801 256 224 8.02 21.26 48.96
355 legacy_seresnext101_32x4d 1523.33 168.041 256 224 8.02 21.26 48.96
356 res2net101_26w_4s 1522.04 168.183 256 224 8.1 18.45 45.21
357 xception 1515.79 168.877 256 299 8.4 35.83 22.86
358 visformer_small 1505.04 170.081 256 224 4.88 11.43 40.22
359 botnet50ts_256 1504.07 170.19 256 256 5.54 22.23 22.74
360 resnest50d_1s4x24d 1495.52 171.166 256 224 4.43 13.57 25.68
361 resnetv2_50x1_bit_distilled 1491.91 171.579 256 224 4.23 11.11 25.55
362 resnetv2_152 1488.31 171.994 256 224 11.55 22.56 60.19
363 efficientnet_el 1485.73 172.293 256 300 8.0 30.7 10.59
364 efficientnet_el_pruned 1484.88 172.392 256 300 8.0 30.7 10.59
365 gluon_resnet152_v1b 1466.32 174.574 256 224 11.56 22.56 60.19
366 crossvit_small_240 1465.43 174.68 256 240 5.63 18.17 26.86
367 tv_resnet152 1464.76 174.758 256 224 11.56 22.56 60.19
368 resnet152 1463.7 174.886 256 224 11.56 22.56 60.19
369 res2net50_26w_8s 1440.77 177.671 256 224 8.37 17.95 48.4
370 tf_efficientnet_el 1439.79 177.79 256 300 8.0 30.7 10.59
371 halo2botnet50ts_256 1435.45 178.33 256 256 5.02 21.78 22.64
372 hrnet_w32 1431.59 178.81 256 224 8.97 22.02 41.23
373 gluon_resnet152_v1c 1431.14 178.867 256 224 11.8 23.36 60.21
374 nf_seresnet101 1430.41 178.958 256 224 8.02 16.27 49.33
375 vgg16_bn 1430.18 178.985 256 224 15.5 13.56 138.37
376 resnetv2_152d 1427.39 179.335 256 224 11.8 23.36 60.2
377 resmlp_36_224 1426.81 179.41 256 224 8.91 16.33 44.69
378 resmlp_36_distilled_224 1426.22 179.484 256 224 8.91 16.33 44.69
379 nf_ecaresnet101 1423.4 179.839 256 224 8.01 16.27 44.55
380 mixnet_m 1415.37 180.859 256 224 0.36 8.19 5.01
381 gluon_resnet152_v1d 1405.52 182.126 256 224 11.8 23.36 60.21
382 ese_vovnet99b 1395.24 183.468 256 224 16.51 11.27 63.2
383 gmlp_s16_224 1389.58 184.216 256 224 4.42 15.1 19.42
384 tf_mixnet_m 1379.18 185.603 256 224 0.36 8.19 5.01
385 regnety_040 1367.09 187.246 256 224 4.0 12.29 20.65
386 vit_large_patch32_224 1365.88 187.414 256 224 15.39 13.3 306.54
387 hrnet_w18 1363.25 187.774 256 224 4.32 16.31 21.3
388 vit_base_r26_s32_224 1359.83 188.244 256 224 6.81 12.36 101.38
389 crossvit_15_240 1344.51 190.391 256 240 5.81 19.77 27.53
390 resnetv2_50d_evob 1343.28 190.567 256 224 4.33 11.92 25.59
391 ecaresnet50t 1341.42 190.83 256 320 8.82 24.13 25.57
392 mixer_b16_224 1341.1 190.877 256 224 12.62 14.53 59.88
393 mixer_b16_224_miil 1340.95 190.898 256 224 12.62 14.53 59.88
394 vgg19 1334.38 191.835 256 224 19.63 14.86 143.67
395 regnety_032 1331.17 192.299 256 288 5.29 18.61 19.44
396 cait_xxs24_224 1325.98 193.051 256 224 2.53 20.29 11.96
397 gluon_resnet152_v1s 1323.82 193.367 256 224 12.92 24.96 60.32
398 mixer_l32_224 1320.53 193.849 256 224 11.27 19.86 206.94
399 skresnext50_32x4d 1317.3 194.322 256 224 4.5 17.18 27.48
400 xception41 1314.21 194.782 256 299 9.28 39.86 26.97
401 crossvit_15_dagger_240 1313.12 194.944 256 240 6.13 20.43 28.21
402 densenet161 1297.86 197.236 256 224 7.79 11.06 28.68
403 dpn92 1283.16 199.496 256 224 6.54 18.21 37.67
404 efficientnet_lite4 1279.6 200.05 256 380 4.04 45.66 13.01
405 tresnet_m 1272.03 201.24 256 224 5.74 7.31 31.39
406 legacy_seresnet152 1268.99 201.723 256 224 11.33 22.08 66.82
407 dla169 1257.87 203.505 256 224 11.6 20.2 53.39
408 seresnet152 1252.8 204.325 256 224 11.57 22.61 66.82
409 swin_tiny_patch4_window7_224 1250.47 204.71 256 224 4.51 17.06 28.29
410 vit_base_patch32_384 1245.01 205.608 256 384 13.06 16.5 88.3
411 repvgg_b2 1240.95 206.281 256 224 20.45 12.9 89.02
412 twins_pcpvt_small 1237.75 206.812 256 224 3.83 18.08 24.11
413 inception_v4 1232.0 207.78 256 299 12.28 15.09 42.68
414 regnetx_080 1230.26 208.073 256 224 8.02 14.06 39.57
415 convit_small 1215.14 210.662 256 224 5.76 17.87 27.78
416 vgg19_bn 1208.18 211.876 256 224 19.66 14.86 143.68
417 xcit_nano_12_p8_224_dist 1199.12 213.478 256 224 2.16 15.71 3.05
418 xcit_nano_12_p8_224 1193.48 214.486 256 224 2.16 15.71 3.05
419 hrnet_w30 1182.47 216.483 256 224 8.15 21.21 37.71
420 tf_efficientnet_lite4 1173.72 218.096 256 380 4.04 45.66 13.01
421 resnetv2_50d_gn 1171.09 218.587 256 224 4.38 11.92 25.57
422 vit_tiny_patch16_384 1165.29 219.677 256 384 4.7 25.39 5.79
423 dla102x2 1162.53 220.196 256 224 9.34 29.91 41.28
424 regnetx_064 1154.46 221.737 256 224 6.49 16.37 26.21
425 vit_small_resnet50d_s16_224 1148.12 222.96 256 224 13.48 24.82 57.53
426 resnest50d 1142.3 224.096 256 224 5.4 14.36 27.48
427 xcit_tiny_12_p16_384_dist 1120.72 228.412 256 384 3.64 18.26 6.72
428 nf_regnet_b4 1118.05 228.958 256 384 4.7 28.61 30.21
429 mixnet_l 1111.69 230.267 256 224 0.58 10.84 7.33
430 efficientnetv2_s 1109.52 230.718 256 384 8.44 35.77 21.46
431 resnet50_gn 1084.83 235.97 256 224 4.14 11.11 25.56
432 tf_efficientnetv2_s 1082.56 236.462 256 384 8.44 35.77 21.46
433 tf_efficientnetv2_s_in21ft1k 1080.83 236.841 256 384 8.44 35.77 21.46
434 tf_mixnet_l 1080.28 236.961 256 224 0.58 10.84 7.33
435 wide_resnet101_2 1080.17 236.987 256 224 22.8 21.23 126.89
436 gluon_resnext101_64x4d 1075.35 238.048 256 224 15.52 31.21 83.46
437 dpn98 1075.31 238.059 256 224 11.73 25.2 61.57
438 eca_nfnet_l0 1073.57 238.443 256 288 7.12 17.29 24.14
439 resnext101_64x4d 1073.4 238.483 256 224 15.52 31.21 83.46
440 regnetz_d8 1072.66 238.647 256 320 6.19 37.08 23.37
441 convnext_small 1068.35 239.61 256 224 8.7 21.56 50.22
442 nfnet_l0 1067.0 239.911 256 288 7.13 17.29 35.07
443 resnet200 1062.15 241.009 256 224 15.07 32.19 64.67
444 resnetrs101 1051.01 243.563 256 288 13.56 28.53 63.62
445 inception_resnet_v2 1033.59 247.668 256 299 13.18 25.06 55.84
446 ens_adv_inception_resnet_v2 1033.26 247.747 256 299 13.18 25.06 55.84
447 efficientnetv2_rw_s 1032.33 247.972 256 384 8.72 38.03 23.94
448 nest_tiny 1020.47 250.854 256 224 5.83 25.48 17.06
449 coat_lite_small 1020.33 250.888 256 224 3.96 22.09 19.84
450 jx_nest_tiny 1008.4 253.854 256 224 5.83 25.48 17.06
451 vit_base_patch16_224_miil 996.21 256.96 256 224 17.58 23.9 86.54
452 crossvit_18_240 991.56 258.167 256 240 9.05 26.26 43.27
453 gluon_seresnext101_64x4d 990.21 258.518 256 224 15.53 31.25 88.23
454 swsl_resnext101_32x8d 977.82 261.793 256 224 16.48 31.21 88.79
455 ssl_resnext101_32x8d 977.78 261.803 256 224 16.48 31.21 88.79
456 resnext101_32x8d 976.71 262.092 256 224 16.48 31.21 88.79
457 resnet101d 976.38 262.181 256 320 16.48 34.77 44.57
458 ig_resnext101_32x8d 976.0 262.282 256 224 16.48 31.21 88.79
459 crossvit_18_dagger_240 971.37 263.533 256 240 9.5 27.03 44.27
460 regnetz_d32 970.52 263.764 256 320 9.33 37.08 27.58
461 vit_base_patch16_224_sam 969.72 263.98 256 224 17.58 23.9 86.57
462 deit_base_patch16_224 967.9 264.478 256 224 17.58 23.9 86.57
463 vit_base_patch16_224 966.99 264.723 256 224 17.58 23.9 86.57
464 deit_base_distilled_patch16_224 962.72 265.901 256 224 17.68 24.05 87.34
465 repvgg_b3 962.17 266.052 256 224 29.16 15.1 123.09
466 resnest50d_4s2x40d 957.24 267.424 256 224 4.4 17.94 30.42
467 gluon_xception65 952.59 268.729 256 299 13.96 52.48 39.92
468 efficientnet_b4 950.53 269.31 256 384 4.51 50.04 19.34
469 xception65 944.4 271.059 256 299 13.96 52.48 39.92
470 ese_vovnet39b_evos 937.23 273.135 256 224 7.07 6.74 24.58
471 hrnet_w40 919.71 278.336 256 224 12.75 25.29 57.56
472 seresnext101_32x8d 905.52 282.696 256 224 16.48 31.25 93.57
473 twins_pcpvt_base 904.7 282.951 256 224 6.68 25.25 43.83
474 tf_efficientnet_b4 899.69 284.527 256 380 4.49 49.49 19.34
475 tf_efficientnet_b4_ap 899.17 284.692 256 380 4.49 49.49 19.34
476 tf_efficientnet_b4_ns 898.81 284.808 256 380 4.49 49.49 19.34
477 xcit_small_24_p16_224_dist 897.88 285.104 256 224 9.1 23.64 47.67
478 xcit_small_24_p16_224 897.08 285.357 256 224 9.1 23.64 47.67
479 beit_base_patch16_224 894.85 286.068 256 224 17.58 23.9 86.53
480 cait_xxs36_224 891.78 287.055 256 224 3.77 30.34 17.3
481 twins_svt_base 885.5 289.087 256 224 8.59 26.33 56.07
482 regnety_080 865.03 295.931 256 224 8.0 17.97 39.18
483 hrnet_w48 862.23 296.892 256 224 17.34 28.56 77.47
484 xcit_tiny_12_p8_224_dist 851.38 300.676 256 224 4.81 23.6 6.71
485 xcit_tiny_12_p8_224 850.38 301.029 256 224 4.81 23.6 6.71
486 pit_b_224 831.73 307.778 256 224 12.42 32.94 73.76
487 pit_b_distilled_224 829.76 308.512 256 224 12.5 33.07 74.79
488 nfnet_f0s 822.42 311.265 256 256 12.62 18.05 71.49
489 nfnet_f0 820.01 312.18 256 256 12.62 18.05 71.49
490 swin_small_patch4_window7_224 808.39 316.666 256 224 8.77 27.47 49.61
491 repvgg_b2g4 805.1 317.961 256 224 12.63 12.9 61.76
492 resnetv2_50d_evos 799.75 320.087 256 224 4.33 11.92 25.59
493 convnext_base 795.35 321.858 256 224 15.38 28.75 88.59
494 convnext_base_in22ft1k 795.35 321.856 256 224 15.38 28.75 88.59
495 dpn131 790.54 323.815 256 224 16.09 32.97 79.25
496 regnetx_120 762.35 335.792 256 224 12.13 21.37 46.11
497 regnety_064 760.83 336.463 256 224 6.39 16.41 30.58
498 hrnet_w44 758.65 337.428 256 224 14.94 26.92 67.06
499 densenet264 753.54 339.715 256 224 12.95 12.8 72.69
500 mixnet_xl 746.77 342.795 256 224 0.93 14.57 11.9
501 cait_s24_224 746.74 342.81 256 224 9.35 40.58 46.92
502 regnety_120 732.77 349.348 256 224 12.14 21.38 51.82
503 dm_nfnet_f0 732.71 349.374 256 256 12.62 18.05 71.49
504 xception71 724.87 353.154 256 299 18.09 69.92 42.34
505 coat_tiny 707.44 361.857 256 224 4.35 27.2 5.5
506 resnet152d 694.55 368.574 256 320 24.08 47.67 60.21
507 dpn107 691.54 370.175 256 224 18.38 33.46 86.92
508 hrnet_w64 684.53 373.966 256 224 28.97 35.09 128.06
509 nest_small 681.18 375.805 256 224 10.35 40.04 38.35
510 vit_large_r50_s32_224 676.89 378.187 256 224 19.58 24.41 328.99
511 jx_nest_small 675.63 378.895 256 224 10.35 40.04 38.35
512 twins_svt_large 674.75 379.385 256 224 15.15 35.1 99.27
513 seresnet200d 673.13 380.295 256 256 20.01 43.15 71.86
514 ecaresnet200d 672.08 380.893 256 256 20.0 43.15 64.69
515 repvgg_b3g4 671.77 381.071 256 224 17.89 15.1 83.83
516 cspresnext50_iabn 667.96 383.242 256 256 4.02 15.86 20.57
517 gmlp_b16_224 667.23 383.66 256 224 15.78 30.21 73.08
518 crossvit_base_240 662.98 386.123 256 240 21.22 36.33 105.03
519 xcit_medium_24_p16_224_dist 661.18 387.174 256 224 16.13 31.71 84.4
520 xcit_medium_24_p16_224 660.34 387.669 256 224 16.13 31.71 84.4
521 tresnet_l 657.41 389.391 256 224 10.88 11.9 55.99
522 twins_pcpvt_large 657.27 389.474 256 224 9.84 35.82 60.99
523 gluon_senet154 656.15 390.143 256 224 20.77 38.69 115.09
524 senet154 655.06 390.791 256 224 20.77 38.69 115.09
525 legacy_senet154 654.75 390.977 256 224 20.77 38.69 115.09
526 convit_base 638.4 400.989 256 224 17.52 31.77 86.54
527 swin_base_patch4_window7_224 617.48 414.571 256 224 15.47 36.63 87.77
528 ese_vovnet99b_iabn 611.75 418.46 256 224 16.49 11.27 63.2
529 regnetx_160 608.26 420.859 256 224 15.99 25.52 54.28
530 cspdarknet53_iabn 603.85 423.936 256 256 6.53 16.81 27.64
531 resnetrs152 602.36 424.984 256 320 24.34 48.14 86.62
532 seresnet152d 600.43 426.343 256 320 24.09 47.72 66.84
533 xcit_tiny_24_p16_384_dist 596.99 428.807 256 384 6.87 34.29 12.12
534 xcit_small_12_p16_384_dist 594.31 430.737 256 384 14.14 36.51 26.25
535 coat_mini 592.69 431.92 256 224 6.82 33.68 10.34
536 vit_small_patch16_384 592.64 431.956 256 384 15.52 50.78 22.2
537 regnetz_e8 575.64 444.705 256 320 15.46 63.94 57.7
538 convmixer_768_32 563.29 454.463 256 224 19.55 25.95 21.11
539 resnest101e 556.07 460.362 256 256 13.38 28.66 48.28
540 efficientnetv2_m 555.39 460.921 256 416 18.6 67.5 54.14
541 vit_base_r50_s16_224 554.34 461.796 256 224 21.66 35.29 98.66
542 vit_small_r26_s32_384 549.37 465.972 256 384 10.43 29.85 36.47
543 nf_regnet_b5 533.77 479.592 256 456 11.7 61.95 49.74
544 seresnet269d 524.13 488.41 256 256 26.59 53.6 113.67
545 nest_base 514.16 497.89 256 224 17.96 53.39 67.72
546 jx_nest_base 510.9 501.061 256 224 17.96 53.39 67.72
547 resnet200d 509.84 502.105 256 320 31.25 67.33 64.69
548 tnt_s_patch16_224 490.75 521.641 256 224 5.24 24.37 23.76
549 mixnet_xxl 486.35 526.355 256 224 2.04 23.43 23.96
550 tresnet_xl 476.44 537.307 256 224 15.17 15.34 78.44
551 convnext_large 476.21 537.564 256 224 34.4 43.13 197.77
552 eca_nfnet_l1 475.22 538.689 256 320 14.92 34.42 41.41
553 convnext_large_in22ft1k 475.1 538.817 256 224 34.4 43.13 197.77
554 efficientnetv2_rw_m 464.7 550.875 256 416 21.49 79.62 53.24
555 efficientnet_b5 456.59 560.666 256 456 10.46 98.86 30.39
556 xcit_small_12_p8_224 453.25 564.8 256 224 18.69 47.21 26.21
557 xcit_small_12_p8_224_dist 452.33 565.946 256 224 18.69 47.21 26.21
558 xcit_tiny_24_p8_224 450.37 568.411 256 224 9.21 45.39 12.11
559 mixer_l16_224 449.08 570.035 256 224 44.6 41.69 208.2
560 xcit_tiny_24_p8_224_dist 448.81 570.379 256 224 9.21 45.39 12.11
561 halonet_h1 448.78 570.426 256 256 3.0 51.17 8.1
562 vit_large_patch32_384 441.35 580.019 256 384 45.31 43.86 306.63
563 resnetrs200 436.51 586.457 256 320 31.51 67.81 93.21
564 tf_efficientnet_b5 434.35 589.365 256 456 10.46 98.86 30.39
565 tf_efficientnet_b5_ap 433.75 590.18 256 456 10.46 98.86 30.39
566 tf_efficientnet_b5_ns 433.48 590.557 256 456 10.46 98.86 30.39
567 tf_efficientnetv2_m_in21ft1k 410.56 623.518 256 480 24.76 89.84 54.14
568 tf_efficientnetv2_m 410.47 623.661 256 480 24.76 89.84 54.14
569 xcit_nano_12_p8_384_dist 410.15 624.154 256 384 6.34 46.08 3.05
570 regnety_320 406.99 628.99 256 224 32.34 30.26 145.05
571 regnety_160 405.46 631.367 256 288 26.37 38.07 83.59
572 xcit_large_24_p16_224_dist 400.4 639.34 256 224 35.86 47.27 189.1
573 xcit_large_24_p16_224 400.19 639.684 256 224 35.86 47.27 189.1
574 regnetz_d8_evob 388.06 659.67 256 320 6.12 37.08 23.41
575 tnt_b_patch16_224 385.58 663.922 256 224 14.09 39.01 65.41
576 swin_large_patch4_window7_224 383.73 667.122 256 224 34.53 54.94 196.53
577 resnetv2_50x1_bitm 374.41 683.729 256 448 16.62 44.46 25.55
578 ssl_resnext101_32x16d 338.57 756.102 256 224 36.27 51.18 194.03
579 swsl_resnext101_32x16d 338.32 756.674 256 224 36.27 51.18 194.03
580 ig_resnext101_32x16d 338.18 756.969 256 224 36.27 51.18 194.03
581 vit_large_patch16_224 326.85 783.223 256 224 61.6 63.52 304.33
582 convnext_xlarge_in22ft1k 321.97 795.088 256 224 60.97 57.5 350.2
583 tresnet_m_448 321.59 796.023 256 448 22.94 29.21 31.39
584 xcit_small_24_p16_384_dist 315.9 810.38 256 384 26.72 68.58 47.67
585 crossvit_15_dagger_408 307.27 833.13 256 408 21.45 95.05 28.5
586 nasnetalarge 305.09 839.069 256 331 23.89 90.56 88.75
587 beit_large_patch16_224 301.03 850.396 256 224 61.6 63.52 304.43
588 pnasnet5large 294.97 867.879 256 331 25.04 92.89 86.06
589 xcit_tiny_12_p8_384_dist 290.12 882.382 256 384 14.13 69.14 6.71
590 ecaresnet269d 282.41 906.484 256 352 50.25 101.25 102.09
591 nfnet_f1s 278.33 919.751 256 320 35.97 46.77 132.63
592 nfnet_f1 277.93 921.079 256 320 35.97 46.77 132.63
593 resnetrs270 274.74 931.762 256 352 51.13 105.48 129.86
594 convnext_base_384_in22ft1k 274.29 933.296 256 384 45.2 84.49 88.59
595 resnetv2_152x2_bit_teacher 268.11 954.835 256 224 46.95 45.11 236.34
596 efficientnet_b6 261.2 490.039 128 528 19.4 167.39 43.04
597 regnetx_320 257.17 995.447 256 224 31.81 36.3 107.81
598 vit_base_patch16_384 256.27 998.923 256 384 55.54 101.56 86.86
599 deit_base_patch16_384 256.23 999.078 256 384 55.54 101.56 86.86
600 deit_base_distilled_patch16_384 253.03 1011.71 256 384 55.65 101.82 87.63
601 dm_nfnet_f1 251.34 1018.532 256 320 35.97 46.77 132.63
602 tf_efficientnet_b6_ns 249.3 513.425 128 528 19.4 167.39 43.04
603 tf_efficientnet_b6_ap 249.28 513.468 128 528 19.4 167.39 43.04
604 tf_efficientnet_b6 249.27 513.475 128 528 19.4 167.39 43.04
605 cait_xxs24_384 240.96 1062.389 256 384 9.63 122.66 12.03
606 resnetv2_101x1_bitm 237.63 1077.288 256 448 31.65 64.93 44.54
607 xcit_small_24_p8_224 236.59 1082.038 256 224 35.81 90.78 47.63
608 xcit_small_24_p8_224_dist 236.51 1082.395 256 224 35.81 90.78 47.63
609 efficientnetv2_l 230.67 1109.79 256 480 56.4 157.99 118.52
610 xcit_medium_24_p16_384_dist 229.71 1114.433 256 384 47.39 91.64 84.4
611 crossvit_18_dagger_408 228.55 560.041 128 408 32.47 124.87 44.61
612 tf_efficientnetv2_l 228.05 1122.527 256 480 56.4 157.99 118.52
613 eca_nfnet_l2 227.63 1124.623 256 384 30.05 68.28 56.72
614 tf_efficientnetv2_l_in21ft1k 227.22 1126.624 256 480 56.4 157.99 118.52
615 vit_large_r50_s32_384 223.83 1143.726 256 384 57.43 76.52 329.09
616 beit_base_patch16_384 221.26 1157.006 256 384 55.54 101.56 86.74
617 regnetz_d8_evos 211.13 1212.504 256 320 7.03 38.92 23.46
618 resmlp_big_24_224 198.32 1290.833 256 224 100.23 87.31 129.14
619 resmlp_big_24_224_in22ft1k 197.59 1295.599 256 224 100.23 87.31 129.14
620 resmlp_big_24_distilled_224 197.33 1297.278 256 224 100.23 87.31 129.14
621 resnest200e 191.82 1334.548 256 320 35.69 82.78 70.2
622 resnetrs350 182.63 1401.718 256 384 77.59 154.74 163.96
623 swin_base_patch4_window12_384 171.61 745.879 128 384 47.19 134.78 87.9
624 cait_xs24_384 171.6 1491.866 256 384 19.28 183.98 26.67
625 xcit_medium_24_p8_224 171.09 1496.317 256 224 63.53 121.23 84.32
626 xcit_medium_24_p8_224_dist 171.08 1496.368 256 224 63.53 121.23 84.32
627 vit_base_patch8_224 170.14 1504.628 256 224 78.22 161.69 86.58
628 tresnet_l_448 163.98 1561.153 256 448 43.5 47.56 55.99
629 convnext_large_384_in22ft1k 162.15 1578.727 256 384 101.09 126.74 197.77
630 cait_xxs36_384 161.38 1586.306 256 384 14.35 183.7 17.37
631 vit_base_r50_s16_384 161.14 1588.636 256 384 67.43 135.03 98.95
632 vit_base_resnet50_384 161.06 1589.462 256 384 67.43 135.03 98.95
633 nfnet_f2s 156.52 1635.579 256 352 63.22 79.06 193.78
634 efficientnet_b7 156.11 409.945 64 600 38.33 289.94 66.35
635 nfnet_f2 155.79 1643.217 256 352 63.22 79.06 193.78
636 xcit_tiny_24_p8_384_dist 152.9 1674.228 256 384 27.05 132.95 12.11
637 densenet264d_iabn 151.23 1692.723 256 224 13.47 14.0 72.74
638 xcit_small_12_p8_384_dist 150.53 1700.627 256 384 54.92 138.29 26.21
639 tf_efficientnet_b7_ns 150.44 425.41 64 600 38.33 289.94 66.35
640 tf_efficientnet_b7_ap 150.35 425.668 64 600 38.33 289.94 66.35
641 tf_efficientnet_b7 150.33 425.703 64 600 38.33 289.94 66.35
642 efficientnetv2_xl 146.15 1751.589 256 512 93.85 247.32 208.12
643 tf_efficientnetv2_xl_in21ft1k 144.77 1768.278 256 512 93.85 247.32 208.12
644 dm_nfnet_f2 141.71 1806.539 256 352 63.22 79.06 193.78
645 xcit_large_24_p16_384_dist 138.32 1850.744 256 384 105.35 137.17 189.1
646 cait_s24_384 132.94 1925.665 256 384 32.17 245.31 47.06
647 resnetrs420 132.69 1929.303 256 416 108.45 213.79 191.89
648 vit_huge_patch14_224 131.53 1946.246 256 224 167.4 139.41 632.05
649 eca_nfnet_l3 127.14 2013.536 256 448 52.55 118.4 72.04
650 tresnet_xl_448 120.79 2119.391 256 448 60.65 61.31 78.44
651 efficientnet_cc_b0_8e 117.25 8.519 1 224 0.42 9.42 24.01
652 efficientnet_cc_b0_4e 114.89 8.693 1 224 0.41 9.42 13.31
653 convnext_xlarge_384_in22ft1k 110.42 1159.152 128 384 179.18 168.99 350.2
654 tf_efficientnet_cc_b0_8e 109.13 9.153 1 224 0.42 9.42 24.01
655 swin_large_patch4_window12_384 108.07 1184.415 128 384 104.08 202.16 196.74
656 tf_efficientnet_cc_b0_4e 106.38 9.39 1 224 0.41 9.42 13.31
657 xcit_large_24_p8_224 103.21 2480.29 256 224 141.23 181.56 188.93
658 xcit_large_24_p8_224_dist 103.09 2483.315 256 224 141.23 181.56 188.93
659 efficientnet_b8 95.86 667.618 64 672 63.48 442.89 87.41
660 resnetv2_152x2_bit_teacher_384 93.91 2726.129 256 384 136.16 132.56 236.34
661 tf_efficientnet_b8 93.03 687.97 64 672 63.48 442.89 87.41
662 tf_efficientnet_b8_ap 92.99 688.234 64 672 63.48 442.89 87.41
663 resnetv2_50x3_bitm 90.18 1419.305 128 448 145.7 133.37 217.32
664 resnest269e 90.1 2841.126 256 416 77.69 171.98 110.93
665 cait_s36_384 88.82 2882.347 256 384 47.99 367.4 68.37
666 vit_large_patch16_384 88.44 2894.698 256 384 191.21 270.24 304.72
667 vit_giant_patch14_224 87.02 2941.98 256 224 267.18 192.64 1012.61
668 nfnet_f3s 85.07 3009.339 256 416 115.58 141.78 254.92
669 nfnet_f3 84.65 3024.233 256 416 115.58 141.78 254.92
670 efficientnet_cc_b1_8e 83.46 11.971 1 240 0.75 15.44 39.72
671 convmixer_1024_20_ks9_p14 81.44 3143.542 256 224 5.55 5.51 24.38
672 xcit_small_24_p8_384_dist 78.98 3241.259 256 384 105.24 265.91 47.63
673 beit_large_patch16_384 77.03 3323.174 256 384 191.21 270.24 305.0
674 dm_nfnet_f3 76.93 3327.777 256 416 115.58 141.78 254.92
675 tf_efficientnet_cc_b1_8e 76.09 13.131 1 240 0.75 15.44 39.72
676 resnetv2_152x2_bitm 68.83 1859.681 128 448 184.99 180.43 236.34
677 xcit_medium_24_p8_384_dist 58.64 4365.679 256 384 186.67 354.73 84.32
678 resnetv2_101x3_bitm 55.09 2323.244 128 448 280.33 194.78 387.93
679 vit_gigantic_patch14_224 52.92 4837.231 256 224 483.95 275.37 1844.44
680 nfnet_f4s 45.21 5662.39 256 512 216.26 262.26 316.07
681 nfnet_f4 45.13 5672.08 256 512 216.26 262.26 316.07
682 dm_nfnet_f4 41.12 6225.397 256 512 216.26 262.26 316.07
683 xcit_large_24_p8_384_dist 35.18 3638.243 128 384 415.0 531.82 188.93
684 nfnet_f5s 33.4 7663.628 256 544 290.97 349.71 377.21
685 nfnet_f5 33.22 7705.647 256 544 290.97 349.71 377.21
686 beit_large_patch16_512 31.23 2049.459 64 512 362.24 656.39 305.67
687 cait_m36_384 30.6 8365.416 256 384 173.11 734.81 271.22
688 dm_nfnet_f5 30.51 8392.012 256 544 290.97 349.71 377.21
689 nfnet_f6s 24.87 10292.837 256 576 378.69 452.2 438.36
690 nfnet_f6 24.74 10346.138 256 576 378.69 452.2 438.36
691 dm_nfnet_f6 23.05 11108.286 256 576 378.69 452.2 438.36
692 nfnet_f7s 19.54 13099.713 256 608 480.39 570.85 499.5
693 nfnet_f7 19.47 13146.917 256 608 480.39 570.85 499.5
694 resnetv2_152x4_bitm 17.96 3562.952 64 480 844.84 414.26 936.53
695 cait_m48_448 13.23 9672.182 128 448 329.41 1708.23 356.46
696 convmixer_1536_20 13.15 19467.539 256 224 48.68 33.03 51.63

@ -452,10 +452,10 @@ visformer_small,in1k
vit_base_patch16_224,in21k
vit_base_patch16_224_miil,in21k
vit_base_patch16_384,in21k
vit_base_patch16_sam_224,in1k
vit_base_patch16_224_sam,in1k
vit_base_patch32_224,in21k
vit_base_patch32_384,in21k
vit_base_patch32_sam_224,in1k
vit_base_patch32_224_sam,in1k
vit_base_r50_s16_384,in21k
vit_large_patch16_224,in21k
vit_large_patch16_384,in21k

1 model pretrain
452 vit_base_patch16_224 in21k
453 vit_base_patch16_224_miil in21k
454 vit_base_patch16_384 in21k
455 vit_base_patch16_sam_224 vit_base_patch16_224_sam in1k
456 vit_base_patch32_224 in21k
457 vit_base_patch32_384 in21k
458 vit_base_patch32_sam_224 vit_base_patch32_224_sam in1k
459 vit_base_r50_s16_384 in21k
460 vit_large_patch16_224 in21k
461 vit_large_patch16_384 in21k

@ -309,7 +309,7 @@ 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_sam_224,94.140,5.860,98.670,1.330,86.57,224,0.900,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
dpn98,94.110,5.890,98.580,1.420,61.57,224,0.875,bicubic
@ -513,7 +513,7 @@ semnasnet_075,90.080,9.920,97.430,2.570,2.91,224,0.875,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_sam_224,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic
vit_base_patch32_224_sam,89.750,10.250,97.000,3.000,88.22,224,0.900,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

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
309 gmlp_s16_224 94.150 5.850 98.500 1.500 19.42 224 0.875 bicubic
310 efficientnet_b2_pruned 94.140 5.860 98.530 1.470 8.31 260 0.890 bicubic
311 regnety_064 94.140 5.860 98.730 1.270 30.58 224 0.875 bicubic
312 vit_base_patch16_sam_224 vit_base_patch16_224_sam 94.140 5.860 98.670 1.330 86.57 224 0.900 bicubic
313 regnetx_160 94.120 5.880 98.740 1.260 54.28 224 0.875 bicubic
314 nf_regnet_b1 94.120 5.880 98.630 1.370 10.22 288 0.900 bicubic
315 dpn98 94.110 5.890 98.580 1.420 61.57 224 0.875 bicubic
513 ghostnet_100 90.030 9.970 97.370 2.630 5.18 224 0.875 bilinear
514 pit_ti_224 89.950 10.050 97.450 2.550 4.85 224 0.900 bicubic
515 tv_resnet34 89.930 10.070 97.340 2.660 21.80 224 0.875 bilinear
516 vit_base_patch32_sam_224 vit_base_patch32_224_sam 89.750 10.250 97.000 3.000 88.22 224 0.900 bicubic
517 tf_mobilenetv3_large_075 89.680 10.320 97.210 2.790 3.99 224 0.875 bilinear
518 xcit_nano_12_p16_224_dist 89.680 10.320 97.090 2.910 3.05 224 1.000 bicubic
519 deit_tiny_patch16_224 89.670 10.330 97.440 2.560 5.72 224 0.900 bicubic

@ -373,7 +373,7 @@ crossvit_tiny_240,9.107,90.893,34.587,65.413,7.01,240,0.875,bicubic,-81.143,-63.
resnest26d,9.080,90.920,37.840,62.160,17.07,224,0.875,bilinear,-84.240,-60.190,+10
vit_tiny_patch16_224,9.067,90.933,34.600,65.400,5.72,224,0.900,bicubic,-82.693,-63.440,+98
regnety_040,9.013,90.987,37.040,62.960,20.65,224,0.875,bicubic,-84.847,-61.610,-40
vit_base_patch16_sam_224,8.987,91.013,36.160,63.840,86.57,224,0.900,bicubic,-85.153,-62.510,-64
vit_base_patch16_224_sam,8.987,91.013,36.160,63.840,86.57,224,0.900,bicubic,-85.153,-62.510,-64
gluon_resnext50_32x4d,8.973,91.027,36.307,63.693,25.03,224,0.875,bicubic,-84.837,-62.103,-36
rexnet_100,8.907,91.093,36.373,63.627,4.80,224,0.875,bicubic,-84.123,-62.017,+21
seresnext26t_32x4d,8.893,91.107,36.920,63.080,16.81,224,0.875,bicubic,-83.927,-61.450,+34
@ -476,7 +476,7 @@ resnext26ts,4.680,95.320,29.013,70.987,10.30,256,0.900,bicubic,-87.190,-68.907,-
selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.553,-30
tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.683,-49
mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-37
vit_base_patch32_sam_224,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.417,-72.613,+37
vit_base_patch32_224_sam,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.417,-72.613,+37
efficientnet_es_pruned,4.213,95.787,26.533,73.467,5.44,224,0.875,bicubic,-86.967,-71.217,+5
tinynet_b,4.187,95.813,26.707,73.293,3.73,188,0.875,bicubic,-86.743,-70.963,+13
fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.577,-71.277,+18

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
373 resnest26d 9.080 90.920 37.840 62.160 17.07 224 0.875 bilinear -84.240 -60.190 +10
374 vit_tiny_patch16_224 9.067 90.933 34.600 65.400 5.72 224 0.900 bicubic -82.693 -63.440 +98
375 regnety_040 9.013 90.987 37.040 62.960 20.65 224 0.875 bicubic -84.847 -61.610 -40
376 vit_base_patch16_sam_224 vit_base_patch16_224_sam 8.987 91.013 36.160 63.840 86.57 224 0.900 bicubic -85.153 -62.510 -64
377 gluon_resnext50_32x4d 8.973 91.027 36.307 63.693 25.03 224 0.875 bicubic -84.837 -62.103 -36
378 rexnet_100 8.907 91.093 36.373 63.627 4.80 224 0.875 bicubic -84.123 -62.017 +21
379 seresnext26t_32x4d 8.893 91.107 36.920 63.080 16.81 224 0.875 bicubic -83.927 -61.450 +34
476 selecsls42b 4.667 95.333 28.587 71.413 32.46 224 0.875 bicubic -87.613 -69.553 -30
477 tf_efficientnet_lite1 4.613 95.387 28.387 71.613 5.42 240 0.882 bicubic -88.007 -69.683 -49
478 mobilenetv2_120d 4.533 95.467 29.280 70.720 5.83 224 0.875 bicubic -87.867 -68.770 -37
479 vit_base_patch32_sam_224 vit_base_patch32_224_sam 4.333 95.667 24.387 75.613 88.22 224 0.900 bicubic -85.417 -72.613 +37
480 efficientnet_es_pruned 4.213 95.787 26.533 73.467 5.44 224 0.875 bicubic -86.967 -71.217 +5
481 tinynet_b 4.187 95.813 26.707 73.293 3.73 188 0.875 bicubic -86.743 -70.963 +13
482 fbnetc_100 4.133 95.867 25.933 74.067 5.57 224 0.875 bilinear -86.577 -71.277 +18

@ -304,7 +304,7 @@ dpn98,93.920,6.080,98.920,1.080,61.57,224,0.875,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_sam_224,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
vit_base_patch16_224_sam,93.890,6.110,98.890,1.110,86.57,224,0.900,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
@ -518,7 +518,7 @@ 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
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
vit_base_patch32_sam_224,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic
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

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
304 gluon_resnet152_v1c 93.890 6.110 98.800 1.200 60.21 224 0.875 bicubic
305 regnetx_160 93.890 6.110 99.090 0.910 54.28 224 0.875 bicubic
306 regnety_080 93.890 6.110 99.000 1.000 39.18 224 0.875 bicubic
307 vit_base_patch16_sam_224 vit_base_patch16_224_sam 93.890 6.110 98.890 1.110 86.57 224 0.900 bicubic
308 nf_regnet_b1 93.880 6.120 98.740 1.260 10.22 288 0.900 bicubic
309 xception71 93.880 6.120 98.950 1.050 42.34 299 0.903 bicubic
310 cspresnet50 93.860 6.140 98.860 1.140 21.62 256 0.887 bilinear
518 xcit_nano_12_p16_224_dist 90.170 9.830 97.760 2.240 3.05 224 1.000 bicubic
519 resnet18d 89.990 10.010 97.830 2.170 11.71 224 0.875 bicubic
520 hrnet_w18_small 89.880 10.120 97.900 2.100 13.19 224 0.875 bilinear
521 vit_base_patch32_sam_224 vit_base_patch32_224_sam 89.860 10.140 97.600 2.400 88.22 224 0.900 bicubic
522 mobilenetv2_100 89.830 10.170 97.830 2.170 3.50 224 0.875 bicubic
523 vgg19 89.680 10.320 97.550 2.450 143.67 224 0.875 bilinear
524 deit_tiny_patch16_224 89.620 10.380 97.960 2.040 5.72 224 0.900 bicubic

@ -341,7 +341,7 @@ xception65,40.270,59.730,55.277,44.723,39.92,299,0.903,bicubic,-53.490,-43.583,-
densenet201,40.267,59.733,56.700,43.300,20.01,224,0.875,bicubic,-52.423,-41.950,+84
resnext50d_32x4d,40.163,59.837,55.487,44.513,25.05,224,0.875,bicubic,-53.647,-43.253,-23
eca_resnet33ts,40.130,59.870,56.997,43.003,19.68,256,0.900,bicubic,-53.730,-41.893,-32
vit_base_patch16_sam_224,40.103,59.897,55.430,44.570,86.57,224,0.900,bicubic,-53.787,-43.460,-37
vit_base_patch16_224_sam,40.103,59.897,55.430,44.570,86.57,224,0.900,bicubic,-53.787,-43.460,-37
hrnet_w48,40.097,59.903,56.640,43.360,77.47,224,0.875,bilinear,-53.933,-42.400,-53
legacy_seresnet152,40.050,59.950,55.813,44.187,66.82,224,0.875,bilinear,-53.390,-43.037,+21
hrnet_w30,40.030,59.970,57.117,42.883,37.71,224,0.875,bilinear,-53.360,-41.713,+29
@ -452,7 +452,7 @@ eca_botnext26ts_256,36.670,63.330,52.477,47.523,10.59,256,0.950,bicubic,-56.690,
hardcorenas_a,36.643,63.357,54.910,45.090,5.26,224,0.875,bilinear,-54.977,-43.260,+25
levit_128s,36.623,63.377,53.137,46.863,7.78,224,0.900,bicubic,-54.877,-45.263,+27
efficientnet_b0,36.603,63.397,53.487,46.513,5.29,224,0.875,bicubic,-55.877,-45.193,-14
vit_base_patch32_sam_224,36.547,63.453,53.043,46.957,88.22,224,0.900,bicubic,-53.313,-44.557,+66
vit_base_patch32_224_sam,36.547,63.453,53.043,46.957,88.22,224,0.900,bicubic,-53.313,-44.557,+66
xcit_nano_12_p8_224_dist,36.540,63.460,52.883,47.117,3.05,224,1.000,bicubic,-55.880,-45.647,-10
tf_efficientnet_em,36.370,63.630,52.843,47.157,6.90,240,0.882,bicubic,-56.810,-45.827,-66
skresnet18,36.320,63.680,54.193,45.807,11.96,224,0.875,bicubic,-53.850,-43.587,+59

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
341 densenet201 40.267 59.733 56.700 43.300 20.01 224 0.875 bicubic -52.423 -41.950 +84
342 resnext50d_32x4d 40.163 59.837 55.487 44.513 25.05 224 0.875 bicubic -53.647 -43.253 -23
343 eca_resnet33ts 40.130 59.870 56.997 43.003 19.68 256 0.900 bicubic -53.730 -41.893 -32
344 vit_base_patch16_sam_224 vit_base_patch16_224_sam 40.103 59.897 55.430 44.570 86.57 224 0.900 bicubic -53.787 -43.460 -37
345 hrnet_w48 40.097 59.903 56.640 43.360 77.47 224 0.875 bilinear -53.933 -42.400 -53
346 legacy_seresnet152 40.050 59.950 55.813 44.187 66.82 224 0.875 bilinear -53.390 -43.037 +21
347 hrnet_w30 40.030 59.970 57.117 42.883 37.71 224 0.875 bilinear -53.360 -41.713 +29
452 hardcorenas_a 36.643 63.357 54.910 45.090 5.26 224 0.875 bilinear -54.977 -43.260 +25
453 levit_128s 36.623 63.377 53.137 46.863 7.78 224 0.900 bicubic -54.877 -45.263 +27
454 efficientnet_b0 36.603 63.397 53.487 46.513 5.29 224 0.875 bicubic -55.877 -45.193 -14
455 vit_base_patch32_sam_224 vit_base_patch32_224_sam 36.547 63.453 53.043 46.957 88.22 224 0.900 bicubic -53.313 -44.557 +66
456 xcit_nano_12_p8_224_dist 36.540 63.460 52.883 47.117 3.05 224 1.000 bicubic -55.880 -45.647 -10
457 tf_efficientnet_em 36.370 63.630 52.843 47.157 6.90 240 0.882 bicubic -56.810 -45.827 -66
458 skresnet18 36.320 63.680 54.193 45.807 11.96 224 0.875 bicubic -53.850 -43.587 +59

@ -275,7 +275,7 @@ vit_large_patch32_384,85.911,14.089,97.368,2.632,306.63,384,1.000,bicubic,+4.401
tf_efficientnetv2_b2,85.900,14.100,96.889,3.111,10.10,260,0.890,bicubic,+5.694,+1.847,+5
tf_efficientnet_b2,85.898,14.102,96.862,3.139,9.11,260,0.890,bicubic,+5.818,+1.954,+11
resnet50_gn,85.883,14.117,96.849,3.151,25.56,224,0.940,bicubic,+5.831,+1.903,+12
vit_base_patch16_sam_224,85.877,14.123,96.697,3.303,86.57,224,0.900,bicubic,+5.635,+1.941,-2
vit_base_patch16_224_sam,85.877,14.123,96.697,3.303,86.57,224,0.900,bicubic,+5.635,+1.941,-2
seresnet50,85.853,14.147,97.009,2.991,28.09,224,0.875,bicubic,+5.589,+1.937,-5
repvgg_b2g4,85.849,14.151,96.812,3.188,61.76,224,0.875,bilinear,+6.479,+2.126,+47
gluon_resnet101_v1d,85.847,14.153,96.663,3.337,44.57,224,0.875,bicubic,+5.431,+1.647,-18
@ -516,7 +516,7 @@ tv_resnet34,80.389,19.611,94.438,5.562,21.80,224,0.875,bilinear,+7.081,+3.014,-3
resnet18d,80.385,19.615,94.246,5.754,11.71,224,0.875,bicubic,+8.135,+3.558,+8
mobilenetv2_100,80.255,19.745,94.197,5.803,3.50,224,0.875,bicubic,+7.289,+3.179,0
xcit_nano_12_p16_224_dist,80.216,19.784,94.357,5.643,3.05,224,1.000,bicubic,+7.914,+3.495,+5
vit_base_patch32_sam_224,80.210,19.790,93.823,6.177,88.22,224,0.900,bicubic,+6.518,+2.811,-11
vit_base_patch32_224_sam,80.210,19.790,93.823,6.177,88.22,224,0.900,bicubic,+6.518,+2.811,-11
ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.495,+3.166,-1
tf_mobilenetv3_large_075,80.088,19.912,94.182,5.818,3.99,224,0.875,bilinear,+6.648,+2.834,-12
deit_tiny_patch16_224,80.011,19.988,94.449,5.551,5.72,224,0.900,bicubic,+7.846,+3.329,+4

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
275 tf_efficientnetv2_b2 85.900 14.100 96.889 3.111 10.10 260 0.890 bicubic +5.694 +1.847 +5
276 tf_efficientnet_b2 85.898 14.102 96.862 3.139 9.11 260 0.890 bicubic +5.818 +1.954 +11
277 resnet50_gn 85.883 14.117 96.849 3.151 25.56 224 0.940 bicubic +5.831 +1.903 +12
278 vit_base_patch16_sam_224 vit_base_patch16_224_sam 85.877 14.123 96.697 3.303 86.57 224 0.900 bicubic +5.635 +1.941 -2
279 seresnet50 85.853 14.147 97.009 2.991 28.09 224 0.875 bicubic +5.589 +1.937 -5
280 repvgg_b2g4 85.849 14.151 96.812 3.188 61.76 224 0.875 bilinear +6.479 +2.126 +47
281 gluon_resnet101_v1d 85.847 14.153 96.663 3.337 44.57 224 0.875 bicubic +5.431 +1.647 -18
516 resnet18d 80.385 19.615 94.246 5.754 11.71 224 0.875 bicubic +8.135 +3.558 +8
517 mobilenetv2_100 80.255 19.745 94.197 5.803 3.50 224 0.875 bicubic +7.289 +3.179 0
518 xcit_nano_12_p16_224_dist 80.216 19.784 94.357 5.643 3.05 224 1.000 bicubic +7.914 +3.495 +5
519 vit_base_patch32_sam_224 vit_base_patch32_224_sam 80.210 19.790 93.823 6.177 88.22 224 0.900 bicubic +6.518 +2.811 -11
520 ssl_resnet18 80.101 19.899 94.590 5.410 11.69 224 0.875 bilinear +7.495 +3.166 -1
521 tf_mobilenetv3_large_075 80.088 19.912 94.182 5.818 3.99 224 0.875 bilinear +6.648 +2.834 -12
522 deit_tiny_patch16_224 80.011 19.988 94.449 5.551 5.72 224 0.900 bicubic +7.846 +3.329 +4

@ -273,7 +273,7 @@ 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
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_sam_224,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic
vit_base_patch16_224_sam,80.242,19.758,94.756,5.244,86.57,224,0.900,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
repvgg_b3g4,80.212,19.788,95.106,4.894,83.83,224,0.875,bilinear
@ -505,7 +505,7 @@ 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_sam_224,73.692,26.308,91.012,8.988,88.22,224,0.900,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
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

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
273 tf_efficientnet_b2_ap 80.302 19.698 95.028 4.972 9.11 260 0.890 bicubic
274 seresnet50 80.264 19.736 95.072 4.928 28.09 224 0.875 bicubic
275 tf_efficientnet_el 80.250 19.750 95.130 4.870 10.59 300 0.904 bicubic
276 vit_base_patch16_sam_224 vit_base_patch16_224_sam 80.242 19.758 94.756 5.244 86.57 224 0.900 bicubic
277 regnetx_320 80.240 19.760 95.022 4.978 107.81 224 0.875 bicubic
278 legacy_seresnext101_32x4d 80.228 19.772 95.014 4.986 48.96 224 0.875 bilinear
279 repvgg_b3g4 80.212 19.788 95.106 4.894 83.83 224 0.875 bilinear
505 crossvit_9_240 73.970 26.030 91.964 8.036 8.55 240 0.875 bicubic
506 xcit_nano_12_p8_224 73.918 26.082 92.170 7.830 3.05 224 1.000 bicubic
507 regnetx_006 73.852 26.148 91.674 8.326 6.20 224 0.875 bicubic
508 vit_base_patch32_sam_224 vit_base_patch32_224_sam 73.692 26.308 91.012 8.988 88.22 224 0.900 bicubic
509 tf_mobilenetv3_large_075 73.440 26.560 91.348 8.652 3.99 224 0.875 bilinear
510 vgg16_bn 73.350 26.650 91.504 8.496 138.37 224 0.875 bilinear
511 crossvit_tiny_240 73.336 26.664 91.916 8.084 7.01 240 0.875 bicubic

@ -314,7 +314,7 @@ fbnetv3_d,68.340,31.660,88.450,11.550,10.31,256,0.950,bilinear,-11.342,-6.500,-2
resmlp_big_24_224,68.320,31.680,87.530,12.470,129.14,224,0.875,bicubic,-12.712,-7.490,-85
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.754,-21
gluon_resnext50_32x4d,68.300,31.700,87.290,12.710,25.03,224,0.875,bicubic,-11.068,-7.136,+12
vit_base_patch16_sam_224,68.260,31.740,87.720,12.280,86.57,224,0.900,bicubic,-11.982,-7.036,-41
vit_base_patch16_224_sam,68.260,31.740,87.720,12.280,86.57,224,0.900,bicubic,-11.982,-7.036,-41
ecaresnet26t,68.230,31.770,88.800,11.200,16.01,320,0.950,bicubic,-11.618,-6.284,-18
tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.588,-7.174,-15
ese_vovnet39b,68.200,31.800,88.260,11.740,24.57,224,0.875,bicubic,-11.110,-6.456,+10
@ -518,7 +518,7 @@ tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13
xcit_nano_12_p16_224_dist,60.240,39.760,82.500,17.500,3.05,224,1.000,bicubic,-12.062,-8.362,+5
mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.776,-8.778,-2
resnet18d,60.180,39.820,82.310,17.690,11.71,224,0.875,bicubic,-12.070,-8.378,+4
vit_base_patch32_sam_224,60.010,39.990,81.230,18.770,88.22,224,0.900,bicubic,-13.682,-9.782,-13
vit_base_patch32_224_sam,60.010,39.990,81.230,18.770,88.22,224,0.900,bicubic,-13.682,-9.782,-13
deit_tiny_patch16_224,59.830,40.170,82.660,17.340,5.72,224,0.900,bicubic,-12.336,-8.460,+4
legacy_seresnet18,59.810,40.190,81.690,18.310,11.78,224,0.875,bicubic,-11.932,-8.642,+7
vgg19,59.710,40.290,81.450,18.550,143.67,224,0.875,bilinear,-12.656,-9.420,-3

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
314 resmlp_big_24_224 68.320 31.680 87.530 12.470 129.14 224 0.875 bicubic -12.712 -7.490 -85
315 efficientnet_b2_pruned 68.320 31.680 88.100 11.900 8.31 260 0.890 bicubic -11.596 -6.754 -21
316 gluon_resnext50_32x4d 68.300 31.700 87.290 12.710 25.03 224 0.875 bicubic -11.068 -7.136 +12
317 vit_base_patch16_sam_224 vit_base_patch16_224_sam 68.260 31.740 87.720 12.280 86.57 224 0.900 bicubic -11.982 -7.036 -41
318 ecaresnet26t 68.230 31.770 88.800 11.200 16.01 320 0.950 bicubic -11.618 -6.284 -18
319 tf_efficientnet_lite3 68.230 31.770 87.740 12.260 8.20 300 0.904 bilinear -11.588 -7.174 -15
320 ese_vovnet39b 68.200 31.800 88.260 11.740 24.57 224 0.875 bicubic -11.110 -6.456 +10
518 xcit_nano_12_p16_224_dist 60.240 39.760 82.500 17.500 3.05 224 1.000 bicubic -12.062 -8.362 +5
519 mobilenetv2_100 60.190 39.810 82.240 17.760 3.50 224 0.875 bicubic -12.776 -8.778 -2
520 resnet18d 60.180 39.820 82.310 17.690 11.71 224 0.875 bicubic -12.070 -8.378 +4
521 vit_base_patch32_sam_224 vit_base_patch32_224_sam 60.010 39.990 81.230 18.770 88.22 224 0.900 bicubic -13.682 -9.782 -13
522 deit_tiny_patch16_224 59.830 40.170 82.660 17.340 5.72 224 0.900 bicubic -12.336 -8.460 +4
523 legacy_seresnet18 59.810 40.190 81.690 18.310 11.78 224 0.875 bicubic -11.932 -8.642 +7
524 vgg19 59.710 40.290 81.450 18.550 143.67 224 0.875 bilinear -12.656 -9.420 -3

@ -349,7 +349,7 @@ regnetx_160,27.823,72.177,45.625,54.375,54.28,224,0.875,bicubic,-52.025,-49.205,
tf_inception_v3,27.778,72.222,45.719,54.281,23.83,299,0.875,bicubic,-50.076,-47.919,+63
res2net101_26w_4s,27.772,72.228,45.169,54.831,45.21,224,0.875,bilinear,-51.426,-49.269,-4
tf_efficientnetv2_b1,27.756,72.243,46.578,53.422,8.14,240,0.882,bicubic,-51.706,-48.148,-28
vit_base_patch16_sam_224,27.711,72.289,45.106,54.894,86.57,224,0.900,bicubic,-52.531,-49.650,-76
vit_base_patch16_224_sam,27.711,72.289,45.106,54.894,86.57,224,0.900,bicubic,-52.531,-49.650,-76
fbnetv3_b,27.668,72.332,46.983,53.017,8.60,256,0.950,bilinear,-51.482,-47.763,-6
repvgg_b1,27.652,72.348,46.521,53.479,57.42,224,0.875,bilinear,-50.716,-47.575,+32
hrnet_w44,27.615,72.385,45.837,54.163,67.06,224,0.875,bilinear,-51.285,-48.535,+5
@ -480,7 +480,7 @@ tf_efficientnet_em,23.359,76.641,40.402,59.598,6.90,240,0.882,bicubic,-54.773,-5
repvgg_b0,23.317,76.683,41.178,58.822,15.82,224,0.875,bilinear,-51.839,-51.240,+5
xcit_nano_12_p16_224_dist,23.255,76.746,41.370,58.630,3.05,224,1.000,bicubic,-49.048,-49.492,+42
mobilenetv2_110d,23.074,76.926,40.726,59.274,4.52,224,0.875,bicubic,-51.966,-51.458,+7
vit_base_patch32_sam_224,23.048,76.952,39.572,60.428,88.22,224,0.900,bicubic,-50.644,-51.440,+25
vit_base_patch32_224_sam,23.048,76.952,39.572,60.428,88.22,224,0.900,bicubic,-50.644,-51.440,+25
tinynet_b,23.015,76.985,40.971,59.029,3.73,188,0.875,bicubic,-51.965,-51.215,+8
deit_tiny_distilled_patch16_224,22.726,77.274,40.771,59.229,5.91,224,0.900,bicubic,-51.786,-51.117,+15
mobilenetv3_large_100,22.655,77.345,40.777,59.223,5.48,224,0.875,bicubic,-53.107,-51.763,-13

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
349 tf_inception_v3 27.778 72.222 45.719 54.281 23.83 299 0.875 bicubic -50.076 -47.919 +63
350 res2net101_26w_4s 27.772 72.228 45.169 54.831 45.21 224 0.875 bilinear -51.426 -49.269 -4
351 tf_efficientnetv2_b1 27.756 72.243 46.578 53.422 8.14 240 0.882 bicubic -51.706 -48.148 -28
352 vit_base_patch16_sam_224 vit_base_patch16_224_sam 27.711 72.289 45.106 54.894 86.57 224 0.900 bicubic -52.531 -49.650 -76
353 fbnetv3_b 27.668 72.332 46.983 53.017 8.60 256 0.950 bilinear -51.482 -47.763 -6
354 repvgg_b1 27.652 72.348 46.521 53.479 57.42 224 0.875 bilinear -50.716 -47.575 +32
355 hrnet_w44 27.615 72.385 45.837 54.163 67.06 224 0.875 bilinear -51.285 -48.535 +5
480 repvgg_b0 23.317 76.683 41.178 58.822 15.82 224 0.875 bilinear -51.839 -51.240 +5
481 xcit_nano_12_p16_224_dist 23.255 76.746 41.370 58.630 3.05 224 1.000 bicubic -49.048 -49.492 +42
482 mobilenetv2_110d 23.074 76.926 40.726 59.274 4.52 224 0.875 bicubic -51.966 -51.458 +7
483 vit_base_patch32_sam_224 vit_base_patch32_224_sam 23.048 76.952 39.572 60.428 88.22 224 0.900 bicubic -50.644 -51.440 +25
484 tinynet_b 23.015 76.985 40.971 59.029 3.73 188 0.875 bicubic -51.965 -51.215 +8
485 deit_tiny_distilled_patch16_224 22.726 77.274 40.771 59.229 5.91 224 0.900 bicubic -51.786 -51.117 +15
486 mobilenetv3_large_100 22.655 77.345 40.777 59.223 5.48 224 0.875 bicubic -53.107 -51.763 -13
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