pytorch-image-models/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv

model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,8788.08,57.613,512,106,2.04
mobilenetv3_small_050,6451.43,78.69,512,224,1.59
tf_mobilenetv3_small_minimal_100,6231.46,81.639,512,224,2.04
levit_128s,5345.65,94.962,512,224,7.78
lcnet_035,5326.51,95.668,512,224,1.64
mobilenetv3_small_075,5149.15,98.754,512,224,2.04
lcnet_050,4879.43,104.466,512,224,1.88
tf_mobilenetv3_small_075,4839.2,105.1,512,224,2.04
mobilenetv3_small_100,4741.69,107.315,512,224,2.54
tf_mobilenetv3_small_100,4474.54,113.738,512,224,2.54
tinynet_d,4465.05,113.942,512,152,2.34
mixer_s32_224,3957.52,128.859,512,224,19.1
levit_128,3868.72,131.359,512,224,9.21
lcnet_075,3674.09,138.887,512,224,2.36
vit_small_patch32_224,3657.34,139.252,512,224,22.88
vit_tiny_r_s16_p8_224,3407.13,149.506,512,224,6.34
regnetx_002,3372.01,151.204,512,224,2.68
levit_192,3357.19,151.505,512,224,10.95
mnasnet_small,3158.42,161.274,512,224,2.03
regnety_002,3119.2,163.263,512,224,3.16
lcnet_100,3075.72,165.994,512,224,2.95
mobilenetv2_035,3007.95,169.496,512,224,1.68
gernet_s,2901.28,175.82,512,224,8.17
gluon_resnet18_v1b,2671.91,191.302,512,224,11.69
swsl_resnet18,2669.15,191.488,512,224,11.69
ssl_resnet18,2668.71,191.54,512,224,11.69
resnet18,2662.83,191.947,512,224,11.69
mobilenetv2_050,2596.25,196.482,512,224,1.97
levit_256,2559.67,199.033,512,224,18.89
regnetx_004,2499.65,203.84,512,224,5.16
mnasnet_050,2494.39,204.524,512,224,2.22
semnasnet_050,2494.01,204.433,512,224,2.08
seresnet18,2463.7,207.356,512,224,11.78
ese_vovnet19b_slim_dw,2437.98,209.545,512,224,1.9
legacy_seresnet18,2413.99,211.632,512,224,11.78
tinynet_c,2389.53,213.326,512,184,2.46
tf_mobilenetv3_large_minimal_100,2278.25,224.06,512,224,3.92
lcnet_150,2248.73,227.214,512,224,4.5
mobilenetv3_large_075,2139.42,238.494,512,224,3.99
ghostnet_050,2137.33,238.296,512,224,2.59
resnet18d,2046.03,249.892,512,224,11.71
tf_mobilenetv3_large_075,2027.78,251.65,512,224,3.99
regnetx_006,2023.49,252.29,512,224,6.2
ese_vovnet19b_slim,1970.7,259.464,512,224,3.17
mobilenetv3_rw,1940.58,263.024,512,224,5.48
mobilenetv3_large_100,1936.66,263.562,512,224,5.48
mobilenetv3_large_100_miil,1936.5,263.563,512,224,5.48
mnasnet_075,1879.23,271.718,512,224,3.17
mobilenetv2_075,1868.15,273.318,512,224,2.64
tf_efficientnetv2_b0,1853.32,275.137,512,224,7.14
tf_mobilenetv3_large_100,1838.66,277.647,512,224,5.48
regnety_004,1819.61,280.334,512,224,4.34
resnetblur18,1808.21,282.828,512,224,11.69
semnasnet_075,1791.94,284.855,512,224,2.91
regnety_006,1780.58,286.558,512,224,6.06
mobilenetv2_100,1744.9,292.687,512,224,3.5
skresnet18,1742.33,293.29,512,224,11.96
mnasnet_b1,1686.64,302.825,512,224,4.38
mnasnet_100,1686.2,302.919,512,224,4.38
deit_tiny_patch16_224,1678.5,304.281,512,224,5.72
vit_tiny_patch16_224,1673.2,305.238,512,224,5.72
tinynet_b,1669.81,305.621,512,188,3.73
hardcorenas_a,1656.9,308.354,512,224,5.26
deit_tiny_distilled_patch16_224,1654.85,308.608,512,224,5.91
hardcorenas_b,1648.45,309.73,512,224,5.18
regnetx_008,1647.09,310.092,512,224,7.26
mnasnet_a1,1641.47,311.08,512,224,3.89
semnasnet_100,1640.14,311.319,512,224,3.89
levit_384,1616.42,315.722,512,224,39.13
gluon_resnet34_v1b,1598.5,319.781,512,224,21.8
resnet34,1593.87,320.693,512,224,21.8
tv_resnet34,1592.81,320.898,512,224,21.8
mixer_b32_224,1579.25,323.449,512,224,60.29
hardcorenas_c,1569.06,325.387,512,224,5.52
visformer_tiny,1563.94,326.764,512,224,10.32
spnasnet_100,1551.19,329.16,512,224,4.42
pit_ti_distilled_224,1547.24,330.092,512,224,5.1
pit_ti_224,1546.92,330.186,512,224,4.85
hardcorenas_d,1543.77,330.549,512,224,7.5
ghostnet_100,1541.6,330.868,512,224,5.18
vit_base_patch32_224,1529.64,333.95,512,224,88.22
vit_base_patch32_224_sam,1527.96,334.33,512,224,88.22
regnety_008,1525.57,334.693,512,224,6.26
resmlp_12_224,1513.1,337.634,512,224,15.35
resmlp_12_distilled_224,1513.05,337.643,512,224,15.35
seresnet34,1461.69,349.453,512,224,21.96
nf_regnet_b0,1450.04,351.967,512,256,8.76
legacy_seresnet34,1428.59,357.543,512,224,21.96
gernet_m,1427.9,357.926,512,224,21.14
ese_vovnet19b_dw,1411.33,362.322,512,224,6.54
nf_resnet26,1408.11,363.145,512,224,16.0
dla46_c,1390.48,367.526,512,224,1.3
tinynet_a,1383.86,368.826,512,192,6.19
efficientnet_lite0,1368.92,373.303,512,224,4.65
mobilenetv2_110d,1368.66,279.598,384,224,4.52
rexnetr_100,1367.14,279.805,384,224,4.88
rexnet_100,1361.11,281.051,384,224,4.8
resnet34d,1349.98,378.71,512,224,21.82
xcit_nano_12_p16_224_dist,1340.16,380.375,512,224,3.05
xcit_nano_12_p16_224,1338.66,380.8,512,224,3.05
hardcorenas_f,1338.06,381.608,512,224,8.2
selecsls42,1328.24,384.874,512,224,30.35
ghostnet_130,1326.71,384.661,512,224,7.36
selecsls42b,1324.18,386.065,512,224,32.46
mixer_s16_224,1308.0,390.939,512,224,18.53
resnet26,1305.0,391.896,512,224,16.0
tf_efficientnet_lite0,1300.06,393.134,512,224,4.65
hardcorenas_e,1287.59,396.566,512,224,8.07
hrnet_w18_small,1275.09,400.255,512,224,13.19
pit_xs_distilled_224,1245.81,410.186,512,224,11.0
pit_xs_224,1244.79,410.521,512,224,10.62
mnasnet_140,1243.07,411.14,512,224,7.12
fbnetc_100,1241.42,411.527,512,224,5.57
mobilenetv2_140,1236.2,309.893,384,224,6.11
vit_small_patch32_384,1210.76,422.138,512,384,22.92
efficientnet_b0,1207.97,316.872,384,224,5.29
semnasnet_140,1199.21,426.076,512,224,6.11
nf_seresnet26,1183.4,432.047,512,224,17.4
tf_efficientnetv2_b1,1182.26,323.455,384,240,8.14
vit_tiny_r_s16_p8_384,1176.2,325.707,384,384,6.36
repvgg_b0,1166.7,437.858,512,224,15.82
gmixer_12_224,1164.26,439.045,512,224,12.7
tf_efficientnet_b0_ns,1155.19,331.423,384,224,5.29
tf_efficientnet_b0,1155.11,331.42,384,224,5.29
tf_efficientnet_b0_ap,1154.21,331.702,384,224,5.29
efficientnet_b1_pruned,1141.45,447.176,512,240,6.33
selecsls60,1132.77,451.165,512,224,30.67
selecsls60b,1130.1,452.225,512,224,32.77
resnet26d,1110.35,460.655,512,224,16.01
nf_ecaresnet26,1108.5,461.384,512,224,16.0
rexnetr_130,1084.92,234.909,256,224,7.61
mixnet_s,1079.62,473.081,512,224,4.13
dla34,1055.21,484.649,512,224,15.74
dla46x_c,1044.64,489.413,512,224,1.07
rexnet_130,1038.12,245.54,256,224,7.56
regnetx_016,1027.51,497.437,512,224,9.19
mobilenetv2_120d,1026.61,248.294,256,224,5.83
ecaresnet50d_pruned,1019.51,501.3,512,224,19.94
tf_mixnet_s,1018.74,501.408,512,224,4.13
skresnet34,1008.77,506.519,512,224,22.28
dla60x_c,999.33,511.452,512,224,1.32
gernet_l,994.19,514.18,512,256,31.08
xcit_tiny_12_p16_224,974.89,523.578,512,224,6.72
xcit_tiny_12_p16_224_dist,974.56,523.762,512,224,6.72
rexnetr_150,962.03,265.059,256,224,9.78
crossvit_tiny_240,946.09,404.397,384,240,7.01
crossvit_9_240,942.0,406.34,384,240,8.55
rexnet_150,920.27,277.114,256,224,9.73
repvgg_a2,916.8,557.644,512,224,28.21
legacy_seresnext26_32x4d,911.29,561.256,512,224,16.79
efficientnet_lite1,907.6,281.167,256,240,5.42
crossvit_9_dagger_240,907.56,421.794,384,240,8.78
regnety_016,905.38,563.868,512,224,11.2
convit_tiny,905.04,423.366,384,224,5.71
gmlp_ti16_224,895.37,427.435,384,224,5.87
efficientnet_es_pruned,894.51,571.683,512,224,5.44
efficientnet_es,894.06,571.94,512,224,5.44
resnest14d,890.17,574.739,512,224,10.61
deit_small_patch16_224,879.08,436.051,384,224,22.05
vit_small_patch16_224,877.74,436.745,384,224,22.05
tf_efficientnet_es,877.36,582.875,512,224,5.44
resnetv2_50,874.29,584.904,512,224,25.55
resnext26ts,872.05,439.874,384,256,10.3
tf_efficientnet_lite1,870.75,293.088,256,240,5.42
resnet26t,867.6,589.639,512,256,16.01
tf_efficientnetv2_b2,866.58,294.02,256,260,10.1
deit_small_distilled_patch16_224,865.21,443.046,384,224,22.44
nf_regnet_b1,863.6,591.527,512,288,10.22
nf_regnet_b2,857.0,595.977,512,272,14.31
eca_resnext26ts,843.14,303.098,256,256,10.3
seresnext26ts,838.62,304.653,256,256,10.39
resnet50,826.48,463.878,384,224,25.56
ssl_resnet50,826.14,464.04,384,224,25.56
botnet26t_256,825.99,464.363,384,256,12.49
tv_resnet50,825.99,464.131,384,224,25.56
swsl_resnet50,825.61,464.367,384,224,25.56
gluon_resnet50_v1b,825.26,464.548,384,224,25.56
gcresnext26ts,820.94,311.077,256,256,10.48
seresnext26t_32x4d,819.08,468.216,384,224,16.81
seresnext26tn_32x4d,818.65,468.46,384,224,16.81
seresnext26d_32x4d,816.35,469.756,384,224,16.81
pit_s_224,814.17,313.637,256,224,23.46
pit_s_distilled_224,813.41,313.92,256,224,24.04
vgg11,798.47,641.065,512,224,132.86
halonet26t,796.75,481.425,384,256,12.48
eca_botnext26ts_256,794.14,321.819,256,256,10.59
resnetv2_50t,783.96,652.33,512,224,25.57
vit_small_resnet26d_224,783.75,488.981,384,224,63.61
ecaresnext26t_32x4d,782.53,490.179,384,224,15.41
ecaresnext50t_32x4d,782.45,490.233,384,224,15.41
resnetv2_50d,781.21,654.649,512,224,25.57
tresnet_m,773.27,659.381,512,224,31.39
fbnetv3_d,771.82,329.985,256,256,10.31
eca_halonext26ts,770.01,331.906,256,256,10.76
cspresnet50,766.64,500.094,384,256,21.62
fbnetv3_b,765.95,499.824,384,256,8.6
ecaresnet101d_pruned,765.08,667.536,512,224,24.88
vovnet39a,764.37,669.255,512,224,22.6
gluon_resnet50_v1c,761.03,503.811,384,224,25.58
cspresnext50,757.53,506.115,384,224,20.57
efficientnet_cc_b0_4e,755.85,506.911,384,224,13.31
ecaresnetlight,754.13,678.075,512,224,30.16
efficientnet_cc_b0_8e,750.91,510.273,384,224,24.01
mixnet_m,749.54,510.912,384,224,5.01
efficientnet_b2_pruned,748.23,340.751,256,260,8.31
resnet50t,745.06,514.605,384,224,25.57
resmlp_24_distilled_224,744.01,342.726,256,224,30.02
gluon_resnet50_v1d,743.98,515.37,384,224,25.58
resnet50d,743.76,515.521,384,224,25.58
resmlp_24_224,743.43,342.965,256,224,30.02
legacy_seresnet50,739.53,518.192,384,224,28.09
resnet32ts,736.71,346.942,256,256,17.96
ese_vovnet39b,733.2,523.109,384,224,24.57
tf_efficientnet_cc_b0_4e,732.92,522.856,384,224,13.31
tf_efficientnet_cc_b0_8e,731.1,524.143,384,224,24.01
dpn68b,728.18,526.241,384,224,12.61
resnet33ts,727.42,351.376,256,256,19.68
selecsls84,719.68,710.264,512,224,50.95
nf_seresnet50,718.4,533.452,384,224,28.09
rexnetr_200,715.44,267.313,192,224,16.52
visformer_small,713.57,537.5,384,224,40.22
res2net50_48w_2s,712.35,538.286,384,224,25.29
tf_mixnet_m,711.23,538.464,384,224,5.01
dpn68,711.07,539.016,384,224,12.61
seresnet50,710.55,539.38,384,224,28.09
lambda_resnet26t,708.6,541.35,384,256,10.96
bat_resnext26ts,706.1,361.453,256,256,10.73
tf_efficientnet_b1,705.85,361.254,256,240,7.79
tf_efficientnet_b1_ns,705.53,361.468,256,240,7.79
tf_efficientnet_b1_ap,705.49,361.504,256,240,7.79
seresnet33ts,700.84,364.51,256,256,19.78
eca_resnet33ts,700.22,364.953,256,256,19.68
resnetblur50,694.99,551.777,384,224,25.56
cspresnet50d,694.84,551.823,384,256,21.64
rexnet_200,693.57,275.752,192,224,16.37
cspresnet50w,686.88,558.19,384,256,28.12
eca_vovnet39b,683.56,748.398,512,224,22.6
densenet121,682.9,373.209,256,224,7.98
dla60,682.79,561.488,384,224,22.04
efficientnet_b1,682.7,373.555,256,256,7.79
tv_densenet121,681.14,374.178,256,224,7.98
gcresnet33ts,680.99,374.966,256,256,19.88
efficientnet_lite2,680.43,375.329,256,260,6.09
resnest26d,672.85,570.012,384,224,17.07
resnetaa50d,669.52,572.758,384,224,25.58
vgg11_bn,669.19,382.326,256,224,132.87
gluon_resnet50_v1s,664.71,576.903,384,224,25.68
nf_ecaresnet50,663.54,577.843,384,224,25.56
hrnet_w18_small_v2,663.05,769.959,512,224,15.6
tf_efficientnet_lite2,656.12,389.28,256,260,6.09
vit_small_r26_s32_224,654.12,390.216,256,224,36.43
lambda_resnet26rpt_256,650.73,196.144,128,256,10.99
vit_base_resnet26d_224,650.56,589.099,384,224,101.4
seresnet50t,645.62,395.439,256,224,28.1
gluon_resnext50_32x4d,643.1,596.344,384,224,25.03
ssl_resnext50_32x4d,642.69,596.753,384,224,25.03
resnext50_32x4d,642.56,596.871,384,224,25.03
tv_resnext50_32x4d,642.26,597.116,384,224,25.03
swsl_resnext50_32x4d,642.22,597.166,384,224,25.03
haloregnetz_b,639.45,398.971,256,224,11.68
resnetrs50,639.32,599.548,384,224,35.69
densenet121d,637.87,399.654,256,224,8.0
regnetx_032,635.48,603.11,384,224,15.3
resnetblur50d,634.6,402.62,256,224,25.58
res2net50_26w_4s,625.68,407.946,256,224,25.7
skresnet50,620.44,411.364,256,224,25.8
ese_vovnet57b,618.38,620.149,384,224,38.61
densenetblur121d,611.64,416.815,256,224,8.0
ecaresnet50d,601.62,424.614,256,224,25.58
adv_inception_v3,592.83,646.406,384,299,23.83
resnext50d_32x4d,590.58,432.684,256,224,25.05
gluon_inception_v3,589.45,650.157,384,299,23.83
inception_v3,588.55,651.172,384,299,23.83
tf_inception_v3,588.36,651.336,384,299,23.83
seresnetaa50d,587.38,434.758,256,224,28.11
sehalonet33ts,585.23,436.688,256,256,13.69
coat_lite_tiny,580.33,660.876,384,224,5.72
gmixer_24_224,577.9,441.611,256,224,24.72
gcresnet50t,577.25,442.093,256,256,25.9
efficientnet_b3_pruned,576.96,442.1,256,300,9.86
mixnet_l,576.91,442.34,256,224,7.33
resnetv2_50x1_bit_distilled,575.09,333.113,192,224,25.55
skresnet50d,572.85,445.576,256,224,25.82
vovnet57a,569.57,898.133,512,224,36.64
res2next50,568.73,448.924,256,224,24.67
seresnext50_32x4d,567.85,449.777,256,224,27.56
gluon_seresnext50_32x4d,567.27,450.224,256,224,27.56
cspresnext50_iabn,565.5,676.906,384,256,20.57
legacy_seresnext50_32x4d,565.44,451.632,256,224,27.56
resnest50d_1s4x24d,561.18,454.967,256,224,25.68
res2net50_14w_8s,560.86,454.355,256,224,25.06
repvgg_b1g4,560.47,912.475,512,224,39.97
densenet169,558.29,456.216,256,224,14.15
convnext_tiny,558.25,457.708,256,224,28.59
convnext_tiny_hnf,555.94,459.59,256,224,28.59
coat_lite_mini,554.95,691.16,384,224,11.01
regnety_040,554.71,690.835,384,224,20.65
dla60_res2net,550.65,463.555,256,224,20.85
darknet53,549.0,465.546,256,256,41.61
vgg13,548.68,699.681,384,224,133.05
tf_mixnet_l,547.03,466.516,256,224,7.33
dla60x,544.8,469.001,256,224,17.35
efficientnet_em,542.04,707.524,384,240,6.9
regnetx_040,541.76,707.76,384,224,22.12
nf_resnet101,541.63,707.493,384,224,44.55
tf_efficientnet_em,539.79,473.368,256,240,6.9
nf_regnet_b3,535.57,476.345,256,320,18.59
resnetv2_101,535.41,476.74,256,224,44.54
resnetv2_50d_gn,535.21,357.946,192,224,25.57
tf_efficientnet_b2_ns,534.14,358.079,192,260,9.11
tf_efficientnet_b2,533.77,358.295,192,260,9.11
tf_efficientnet_b2_ap,533.7,358.382,192,260,9.11
gcresnext50ts,533.26,358.674,192,256,15.67
tf_efficientnetv2_b3,532.84,358.667,192,300,14.36
nf_resnet50,527.83,726.718,384,288,25.56
sebotnet33ts_256,526.55,242.351,128,256,13.7
xcit_small_12_p16_224,524.79,486.162,256,224,26.25
xcit_small_12_p16_224_dist,524.65,486.278,256,224,26.25
resnet50_gn,521.4,367.482,192,224,25.56
efficientnetv2_rw_t,520.2,367.035,192,288,13.65
resnet101,518.79,491.983,256,224,44.55
tv_resnet101,518.57,492.187,256,224,44.55
gluon_resnet101_v1b,518.13,492.648,256,224,44.55
crossvit_small_240,516.01,370.633,192,240,26.86
twins_svt_small,514.62,496.02,256,224,24.06
vit_base_r26_s32_224,510.65,374.824,192,224,101.38
xcit_tiny_24_p16_224_dist,510.27,498.69,256,224,12.12
xcit_tiny_24_p16_224,510.13,498.896,256,224,12.12
gmlp_s16_224,504.22,379.373,192,224,19.42
resnetv2_101d,500.13,510.457,256,224,44.56
mixer_b16_224,499.95,511.32,256,224,59.88
mixer_b16_224_miil,499.11,512.204,256,224,59.88
vit_base_resnet50d_224,497.25,513.299,256,224,110.97
dla60_res2next,494.84,516.012,256,224,17.03
gluon_resnet101_v1c,492.43,518.398,256,224,44.57
vit_base_patch32_384,491.61,519.97,256,384,88.3
repvgg_b1,491.0,1041.743,512,224,57.42
resmlp_36_224,490.1,389.77,192,224,44.69
resmlp_36_distilled_224,490.1,389.707,192,224,44.69
efficientnet_b2,489.47,390.855,192,288,9.11
efficientnet_b2a,489.25,391.025,192,288,9.11
vit_large_patch32_224,487.93,523.265,256,224,306.54
gluon_resnet101_v1d,484.72,526.651,256,224,44.57
gc_efficientnetv2_rw_t,482.91,395.05,192,288,13.68
wide_resnet50_2,482.59,529.718,256,224,68.88
mixer_l32_224,479.14,399.369,192,224,206.94
cait_xxs24_224,478.85,532.347,256,224,11.96
cspdarknet53,478.49,534.051,256,256,27.64
efficientnet_cc_b1_8e,478.04,534.008,256,240,39.72
crossvit_15_240,474.46,403.054,192,240,27.53
resnest50d,473.17,539.784,256,224,27.48
res2net50_26w_6s,470.73,542.208,256,224,37.05
ecaresnet26t,470.49,543.574,256,320,16.01
dla102,468.81,544.602,256,224,33.27
regnetz_b16,467.13,409.622,192,288,9.72
xcit_nano_12_p16_384_dist,466.59,547.027,256,384,3.05
tf_efficientnet_cc_b1_8e,466.17,547.634,256,240,39.72
cspdarknet53_iabn,464.37,824.482,384,256,27.64
crossvit_15_dagger_240,458.06,417.527,192,240,28.21
regnetx_080,454.82,843.271,384,224,39.57
vgg13_bn,453.43,564.307,256,224,133.05
halonet50ts,453.0,422.945,192,256,22.73
lambda_resnet50ts,451.97,423.868,192,256,21.54
legacy_seresnet101,451.72,564.699,256,224,49.33
resnetaa101d,451.69,565.275,256,224,44.57
gluon_resnet101_v1s,450.48,566.841,256,224,44.67
vgg16,449.51,854.057,384,224,138.36
densenet201,445.52,428.155,192,224,20.01
swin_tiny_patch4_window7_224,443.41,576.481,256,224,28.29
seresnet101,441.23,578.213,256,224,49.33
nf_seresnet101,438.29,581.969,256,224,49.33
resnetblur101d,436.36,585.216,256,224,44.57
mixnet_xl,424.84,450.181,192,224,11.9
twins_pcpvt_small,421.68,605.595,256,224,24.11
nfnet_l0,417.1,612.673,256,288,35.07
botnet50ts_256,413.47,308.688,128,256,22.74
skresnext50_32x4d,412.36,619.54,256,224,27.48
gluon_resnext101_32x4d,412.2,619.638,256,224,44.18
swsl_resnext101_32x4d,412.03,619.892,256,224,44.18
resnext101_32x4d,411.85,620.12,256,224,44.18
ssl_resnext101_32x4d,411.66,620.437,256,224,44.18
vit_tiny_patch16_384,409.64,311.71,128,384,5.79
convit_small,402.9,475.62,192,224,27.78
halo2botnet50ts_256,398.01,320.711,128,256,22.64
res2net101_26w_4s,397.75,480.37,192,224,45.21
efficientnet_lite3,397.55,320.952,128,300,8.2
tresnet_l,396.67,1287.459,512,224,55.99
eca_nfnet_l0,396.55,644.544,256,288,24.14
resnet51q,393.31,487.375,192,288,35.7
nf_ecaresnet101,390.17,654.38,256,224,44.55
dla102x,386.87,494.82,192,224,26.31
res2net50_26w_8s,386.73,494.414,192,224,48.4
lamhalobotnet50ts_256,386.04,330.65,128,256,22.57
regnetx_064,385.03,664.106,256,224,26.21
regnety_032,384.2,665.001,256,288,19.44
tf_efficientnet_lite3,383.37,332.84,128,300,8.2
vgg19,381.34,1006.734,384,224,143.67
xception,378.7,337.254,128,299,22.86
vgg16_bn,376.28,680.016,256,224,138.37
ecaresnet101d,375.12,680.773,256,224,44.57
resnetv2_152,373.91,682.585,256,224,60.19
resnest50d_4s2x40d,372.15,686.672,256,224,30.42
regnety_064,370.51,689.324,256,224,30.58
repvgg_b2g4,370.32,1381.565,512,224,61.76
gluon_resnet152_v1b,366.03,522.463,192,224,60.19
tv_resnet152,365.47,523.229,192,224,60.19
resnet152,365.43,523.289,192,224,60.19
convnext_small,365.2,524.035,192,224,50.22
ese_vovnet99b,363.8,702.311,256,224,63.2
xcit_nano_12_p8_224,362.09,705.393,256,224,3.05
xcit_nano_12_p8_224_dist,361.89,705.792,256,224,3.05
gluon_seresnext101_32x4d,361.32,529.345,192,224,48.96
seresnext101_32x4d,361.3,529.348,192,224,48.96
legacy_seresnext101_32x4d,359.71,531.693,192,224,48.96
nfnet_f0,359.11,711.802,256,256,71.49
vit_base_patch16_224_miil,357.29,357.529,128,224,86.54
nest_tiny,356.86,357.893,128,224,17.06
nfnet_f0s,355.27,719.527,256,256,71.49
resnet61q,355.26,359.368,128,288,36.85
resnetv2_152d,355.12,538.597,192,224,60.2
jx_nest_tiny,353.84,360.954,128,224,17.06
vit_small_resnet50d_s16_224,353.26,542.366,192,224,57.53
hrnet_w18,352.9,721.041,256,224,21.3
deit_base_patch16_224,352.4,362.443,128,224,86.57
gluon_resnet152_v1c,352.05,543.263,192,224,60.21
vit_base_patch16_224_sam,351.83,363.047,128,224,86.57
vit_base_patch16_224,351.68,363.189,128,224,86.57
ese_vovnet99b_iabn,349.3,1096.435,384,224,63.2
gluon_resnet152_v1d,348.27,549.187,192,224,60.21
deit_base_distilled_patch16_224,347.05,368.041,128,224,87.34
crossvit_18_240,345.05,369.11,128,240,43.27
xcit_tiny_12_p16_384_dist,335.91,569.966,192,384,6.72
fbnetv3_g,335.24,379.926,128,288,16.62
regnety_080,335.22,762.533,256,224,39.18
crossvit_18_dagger_240,333.95,381.492,128,240,44.27
repvgg_b2,331.54,1543.333,512,224,89.02
gluon_resnet152_v1s,330.47,578.863,192,224,60.32
densenet161,327.93,388.08,128,224,28.68
dla169,324.94,588.567,192,224,53.39
beit_base_patch16_224,323.79,394.303,128,224,86.53
coat_lite_small,323.43,592.328,192,224,19.84
vgg19_bn,322.88,792.477,256,224,143.68
dm_nfnet_f0,322.48,792.711,256,256,71.49
repvgg_b3g4,313.61,1223.425,384,224,83.83
tf_efficientnet_b3,313.56,406.655,128,300,12.23
tf_efficientnet_b3_ns,313.33,406.959,128,300,12.23
tf_efficientnet_b3_ap,313.29,407.029,128,300,12.23
legacy_seresnet152,311.06,614.195,192,224,66.82
ese_vovnet39b_evos,310.12,411.897,128,224,24.58
dpn92,308.99,827.182,256,224,37.67
efficientnet_b3,306.79,415.635,128,320,12.23
efficientnet_b3a,306.46,416.067,128,320,12.23
cait_xxs36_224,306.42,414.392,128,224,17.3
inception_v4,305.84,625.702,192,299,42.68
twins_pcpvt_base,304.9,627.165,192,224,43.83
regnetx_120,304.64,839.453,256,224,46.11
ecaresnet50t,303.47,420.896,128,320,25.57
hrnet_w32,302.01,631.305,192,224,41.23
seresnet152,300.58,422.864,128,224,66.82
hrnet_w30,299.22,851.13,256,224,37.71
convmixer_1024_20_ks9_p14,299.07,855.183,256,224,24.38
regnetz_c16,296.99,429.626,128,320,13.46
twins_svt_base,296.14,430.333,128,224,56.07
tresnet_xl,289.45,1323.227,384,224,78.44
swin_small_patch4_window7_224,288.11,442.639,128,224,49.61
xception41,287.58,443.922,128,299,26.97
regnety_120,286.74,668.36,192,224,51.82
pit_b_224,286.53,334.205,96,224,73.76
pit_b_distilled_224,285.98,334.794,96,224,74.79
nf_regnet_b4,282.38,451.32,128,384,30.21
wide_resnet101_2,281.79,679.914,192,224,126.89
mixnet_xxl,275.31,463.133,128,224,23.96
resnetv2_50d_evob,273.52,700.95,192,224,25.59
xcit_small_24_p16_224_dist,271.4,468.703,128,224,47.67
xcit_small_24_p16_224,271.18,469.033,128,224,47.67
repvgg_b3,269.71,1422.719,384,224,123.09
convnext_base,268.96,474.28,128,224,88.59
convnext_base_in22ft1k,268.69,474.728,128,224,88.59
resnetv2_50d_evos,264.08,483.67,128,224,25.59
resnext101_64x4d,263.45,484.429,128,224,83.46
gluon_resnext101_64x4d,263.28,484.77,128,224,83.46
cait_s24_224,262.8,484.707,128,224,46.92
dla102x2,261.95,487.178,128,224,41.28
resnet200,261.21,487.362,128,224,64.67
xcit_tiny_12_p8_224_dist,256.95,496.557,128,224,6.71
xcit_tiny_12_p8_224,256.64,497.116,128,224,6.71
regnetx_160,256.42,747.752,192,224,54.28
inception_resnet_v2,251.21,761.158,192,299,55.84
ens_adv_inception_resnet_v2,251.14,761.388,192,299,55.84
resnetrs101,248.83,512.362,128,288,63.62
efficientnet_el,248.41,514.229,128,300,10.59
efficientnet_el_pruned,248.32,514.423,128,300,10.59
swsl_resnext101_32x8d,247.35,516.019,128,224,88.79
ssl_resnext101_32x8d,247.27,516.22,128,224,88.79
ig_resnext101_32x8d,247.19,516.409,128,224,88.79
resnext101_32x8d,247.05,516.7,128,224,88.79
dpn98,245.05,520.932,128,224,61.57
tf_efficientnet_el,244.21,523.119,128,300,10.59
efficientnetv2_s,241.82,394.917,96,384,21.46
tf_efficientnetv2_s_in21ft1k,240.69,396.775,96,384,21.46
tf_efficientnetv2_s,239.59,398.639,96,384,21.46
gluon_seresnext101_64x4d,239.24,533.021,128,224,88.23
gmlp_b16_224,238.08,401.808,96,224,73.08
resnet101d,236.98,538.626,128,320,44.57
nest_small,234.62,407.715,96,224,38.35
resnest101e,234.0,544.633,128,256,48.28
jx_nest_small,233.02,410.534,96,224,38.35
crossvit_base_240,230.08,415.793,96,240,105.03
efficientnetv2_rw_s,228.99,277.434,64,384,23.94
twins_svt_large,227.78,560.084,128,224,99.27
coat_tiny,226.98,562.116,128,224,5.5
seresnext101_32x8d,225.04,566.768,128,224,93.57
vit_large_r50_s32_224,220.85,432.537,96,224,328.99
swin_base_patch4_window7_224,220.19,579.694,128,224,87.77
gluon_xception65,220.18,434.23,96,299,39.92
xception65,219.22,436.124,96,299,39.92
hrnet_w40,218.29,875.173,192,224,57.56
twins_pcpvt_large,217.89,583.814,128,224,60.99
vit_small_r26_s32_384,215.21,296.22,64,384,36.47
convit_base,210.68,454.737,96,224,86.54
vit_small_patch16_384,209.29,305.058,64,384,22.2
hrnet_w44,203.55,938.867,192,224,67.06
hrnet_w48,203.33,625.151,128,224,77.47
tresnet_m_448,203.05,943.084,192,448,31.39
efficientnet_lite4,198.26,321.517,64,380,13.01
xcit_medium_24_p16_224,197.63,482.811,96,224,84.4
xcit_medium_24_p16_224_dist,197.58,482.902,96,224,84.4
vit_base_r50_s16_224,195.39,326.034,64,224,98.66
densenet264,194.98,488.653,96,224,72.69
regnetz_d8,194.31,327.837,64,320,23.37
tf_efficientnet_lite4,192.8,330.742,64,380,13.01
coat_mini,192.49,663.128,128,224,10.34
eca_nfnet_l1,186.17,685.824,128,320,41.41
regnetz_d32,182.61,348.904,64,320,27.58
dpn131,182.53,699.301,128,224,79.25
xcit_small_12_p16_384_dist,180.8,529.313,96,384,26.25
nest_base,176.01,362.129,64,224,67.72
xcit_tiny_24_p16_384_dist,175.08,545.374,96,384,12.12
jx_nest_base,174.7,364.806,64,224,67.72
dpn107,171.15,746.299,128,224,86.92
resnet152d,170.12,562.135,96,320,60.21
hrnet_w64,167.69,758.827,128,224,128.06
efficientnet_b4,167.63,379.88,64,384,19.34
xception71,165.9,383.797,64,299,42.34
densenet264d_iabn,163.71,1168.658,192,224,72.74
regnety_320,163.11,783.43,128,224,145.05
halonet_h1,161.83,394.259,64,256,8.1
convnext_large,159.74,599.371,96,224,197.77
convnext_large_in22ft1k,159.74,599.406,96,224,197.77
tnt_s_patch16_224,158.13,807.71,128,224,23.76
tf_efficientnet_b4,157.41,404.653,64,380,19.34
tf_efficientnet_b4_ap,157.35,404.822,64,380,19.34
tf_efficientnet_b4_ns,157.32,404.855,64,380,19.34
mixer_l16_224,155.84,614.71,96,224,208.2
seresnet200d,155.16,614.74,96,256,71.86
ecaresnet200d,149.12,640.536,96,256,64.69
vit_large_patch32_384,146.32,435.992,64,384,306.63
regnetx_320,143.56,890.603,128,224,107.81
seresnet152d,141.0,450.755,64,320,66.84
resnetrs152,139.45,455.893,64,320,86.62
resnetv2_50x1_bitm,138.96,344.659,48,448,25.55
gluon_senet154,138.12,691.987,96,224,115.09
senet154,138.03,692.329,96,224,115.09
xcit_small_12_p8_224_dist,137.35,464.322,64,224,26.21
xcit_small_12_p8_224,137.29,464.503,64,224,26.21
legacy_senet154,136.93,698.045,96,224,115.09
regnety_160,133.17,719.682,96,288,83.59
xcit_tiny_24_p8_224,132.53,721.469,96,224,12.11
xcit_tiny_24_p8_224_dist,132.41,722.018,96,224,12.11
swin_large_patch4_window7_224,132.32,482.098,64,224,196.53
tnt_b_patch16_224,126.43,757.574,96,224,65.41
resnet200d,123.09,517.162,64,320,64.69
nfnet_f1,122.2,783.645,96,320,132.63
xcit_nano_12_p8_384_dist,122.19,522.144,64,384,3.05
nfnet_f1s,121.0,791.465,96,320,132.63
xcit_large_24_p16_224_dist,119.24,533.65,64,224,189.1
xcit_large_24_p16_224,119.19,534.033,64,224,189.1
efficientnetv2_m,117.91,404.134,48,416,54.14
seresnet269d,115.13,550.403,64,256,113.67
nf_regnet_b5,109.6,581.496,64,456,49.74
dm_nfnet_f1,109.28,583.486,64,320,132.63
vit_large_patch16_224,106.61,448.786,48,224,304.33
convnext_xlarge_in22ft1k,104.28,612.171,64,224,350.2
crossvit_15_dagger_408,103.01,308.973,32,408,28.5
efficientnetv2_rw_m,101.82,311.114,32,416,53.24
regnetz_e8,100.87,473.939,48,320,57.7
tresnet_l_448,99.64,1281.316,128,448,55.99
beit_large_patch16_224,98.41,485.874,48,224,304.43
resnetrs200,97.6,487.799,48,320,93.21
ig_resnext101_32x16d,96.96,988.697,96,224,194.03
swsl_resnext101_32x16d,96.88,989.444,96,224,194.03
ssl_resnext101_32x16d,96.83,989.971,96,224,194.03
xcit_small_24_p16_384_dist,92.8,514.221,48,384,47.67
eca_nfnet_l2,92.75,687.481,64,384,56.72
convnext_base_384_in22ft1k,92.09,519.541,48,384,88.59
deit_base_patch16_384,90.25,353.802,32,384,86.86
vit_base_patch16_384,90.2,353.987,32,384,86.86
deit_base_distilled_patch16_384,88.49,360.855,32,384,87.63
tf_efficientnetv2_m,88.2,359.811,32,480,54.14
tf_efficientnetv2_m_in21ft1k,88.09,360.345,32,480,54.14
xcit_tiny_12_p8_384_dist,87.2,548.793,48,384,6.71
cait_xxs24_384,86.38,368.153,32,384,12.03
resnetv2_101x1_bitm,85.15,374.386,32,448,44.54
resnetv2_152x2_bit_teacher,85.01,374.341,32,224,236.34
convmixer_768_32,84.46,1135.466,96,224,21.11
resnest200e,77.86,611.828,48,320,70.2
crossvit_18_dagger_408,77.59,307.496,24,408,44.61
beit_base_patch16_384,76.84,311.346,24,384,86.74
tresnet_xl_448,75.89,1261.775,96,448,78.44
efficientnet_b5,75.33,422.385,32,456,30.39
vit_large_r50_s32_384,73.95,430.573,32,384,329.09
tf_efficientnet_b5_ap,73.87,430.874,32,456,30.39
tf_efficientnet_b5_ns,73.84,431.06,32,456,30.39
tf_efficientnet_b5,73.76,431.443,32,456,30.39
regnetz_d8_evob,69.9,684.907,48,320,23.41
nfnet_f2,69.7,685.799,48,352,193.78
xcit_small_24_p8_224,69.53,457.315,32,224,47.63
xcit_small_24_p8_224_dist,69.49,457.517,32,224,47.63
nfnet_f2s,69.09,691.894,48,352,193.78
xcit_medium_24_p16_384_dist,67.17,473.231,32,384,84.4
resmlp_big_24_distilled_224,65.96,483.773,32,224,129.14
resmlp_big_24_224,65.95,483.848,32,224,129.14
resmlp_big_24_224_in22ft1k,65.95,483.866,32,224,129.14
regnetz_d8_evos,64.24,496.339,32,320,23.46
dm_nfnet_f2,62.49,765.031,48,352,193.78
ecaresnet269d,60.75,522.332,32,352,102.09
swin_base_patch4_window12_384,60.1,397.741,24,384,87.9
cait_xs24_384,59.89,398.428,24,384,26.67
pnasnet5large,59.35,535.626,32,331,86.06
resnetrs270,58.4,542.338,32,352,129.86
vit_base_patch8_224,58.07,274.782,16,224,86.58
nasnetalarge,57.07,556.194,32,331,88.75
cait_xxs36_384,56.42,422.115,24,384,17.37
convnext_large_384_in22ft1k,54.47,585.847,32,384,197.77
vit_base_r50_s16_384,54.27,293.3,16,384,98.95
vit_base_resnet50_384,54.19,293.736,16,384,98.95
xcit_medium_24_p8_224,51.72,615.776,32,224,84.32
xcit_medium_24_p8_224_dist,51.69,616.066,32,224,84.32
ig_resnext101_32x32d,51.67,617.889,32,224,468.53
eca_nfnet_l3,49.71,640.359,32,448,72.04
convmixer_1536_20,48.09,997.399,48,224,51.63
xcit_small_12_p8_384_dist,46.72,512.057,24,384,26.21
efficientnetv2_l,46.55,339.739,16,480,118.52
tf_efficientnetv2_l_in21ft1k,46.43,340.391,16,480,118.52
tf_efficientnetv2_l,46.41,340.685,16,480,118.52
xcit_tiny_24_p8_384_dist,44.75,712.159,32,384,12.11
cait_s24_384,44.7,355.627,16,384,47.06
efficientnet_b6,41.67,381.28,16,528,43.04
tf_efficientnet_b6_ap,41.13,386.3,16,528,43.04
tf_efficientnet_b6,41.11,386.574,16,528,43.04
tf_efficientnet_b6_ns,40.99,387.676,16,528,43.04
xcit_large_24_p16_384_dist,40.96,582.937,24,384,189.1
vit_huge_patch14_224,37.91,420.175,16,224,632.05
resnetrs350,36.74,646.103,24,384,163.96
swin_large_patch4_window12_384,36.6,435.55,16,384,196.74
nfnet_f3,34.36,694.502,24,416,254.92
nfnet_f3s,34.26,696.883,24,416,254.92
convnext_xlarge_384_in22ft1k,34.01,468.853,16,384,350.2
resnest269e,32.96,721.9,24,416,110.93
dm_nfnet_f3,31.6,755.444,24,416,254.92
resnetv2_50x3_bitm,31.14,513.017,16,448,217.32
xcit_large_24_p8_224_dist,30.37,523.887,16,224,188.93
xcit_large_24_p8_224,30.32,524.75,16,224,188.93
cait_s36_384,29.46,404.043,12,384,68.37
resnetv2_152x2_bit_teacher_384,29.25,408.083,12,384,236.34
tf_efficientnetv2_xl_in21ft1k,28.52,415.17,12,512,208.12
efficientnetv2_xl,28.5,415.628,12,512,208.12
ig_resnext101_32x48d,27.26,585.456,16,224,828.41
vit_large_patch16_384,26.62,299.076,8,384,304.72
efficientnet_b7,25.52,310.186,8,600,66.35
tf_efficientnet_b7,25.25,313.569,8,600,66.35
tf_efficientnet_b7_ap,25.18,314.571,8,600,66.35
tf_efficientnet_b7_ns,25.12,315.222,8,600,66.35
resnetrs420,24.94,632.993,16,416,191.89
xcit_small_24_p8_384_dist,23.58,505.912,12,384,47.63
beit_large_patch16_384,22.66,351.145,8,384,305.0
vit_giant_patch14_224,21.59,368.118,8,224,1012.61
resnetv2_152x2_bitm,21.27,373.944,8,448,236.34
nfnet_f4,18.45,645.682,12,512,316.07
nfnet_f4s,18.35,649.188,12,512,316.07
resnetv2_101x3_bitm,17.19,464.077,8,448,387.93
xcit_medium_24_p8_384_dist,17.03,466.878,8,384,84.32
dm_nfnet_f4,16.71,713.246,12,512,316.07
efficientnet_b8,12.85,463.389,6,672,87.41
tf_efficientnet_b8_ap,12.75,466.866,6,672,87.41
tf_efficientnet_b8,12.73,467.671,6,672,87.41
nfnet_f5,12.01,660.317,8,544,377.21
nfnet_f5s,11.94,664.267,8,544,377.21
cait_m36_384,11.32,526.589,6,384,271.22
dm_nfnet_f5,10.99,722.011,8,544,377.21
xcit_large_24_p8_384_dist,10.37,575.649,6,384,188.93
nfnet_f6,9.06,655.713,6,576,438.36
nfnet_f6s,9.04,657.589,6,576,438.36
tf_efficientnet_l2_ns_475,8.8,449.624,4,475,480.31
beit_large_patch16_512,8.36,356.829,3,512,305.67
dm_nfnet_f6,8.32,713.582,6,576,438.36
nfnet_f7,6.44,613.323,4,608,499.5
nfnet_f7s,6.38,619.793,4,608,499.5
cait_m48_448,4.6,430.517,2,448,356.46
resnetv2_152x4_bitm,4.42,450.22,2,480,936.53
tf_efficientnet_l2_ns,2.55,387.178,1,800,480.31
efficientnet_l2,2.52,391.57,1,800,480.31