pytorch-image-models/results/model_benchmark_amp_nhwc_rtx3090.csv

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