Add train benchmark results, adjust name scheme for inference and train benchmark files.

pull/1112/head
Ross Wightman 2 years ago
parent a517bf6a7a
commit 1331c145a3

@ -0,0 +1,703 @@
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
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 tinynet_e 8788.08 57.613 512 106 2.04
3 mobilenetv3_small_050 6451.43 78.69 512 224 1.59
4 tf_mobilenetv3_small_minimal_100 6231.46 81.639 512 224 2.04
5 levit_128s 5345.65 94.962 512 224 7.78
6 lcnet_035 5326.51 95.668 512 224 1.64
7 mobilenetv3_small_075 5149.15 98.754 512 224 2.04
8 lcnet_050 4879.43 104.466 512 224 1.88
9 tf_mobilenetv3_small_075 4839.2 105.1 512 224 2.04
10 mobilenetv3_small_100 4741.69 107.315 512 224 2.54
11 tf_mobilenetv3_small_100 4474.54 113.738 512 224 2.54
12 tinynet_d 4465.05 113.942 512 152 2.34
13 mixer_s32_224 3957.52 128.859 512 224 19.1
14 levit_128 3868.72 131.359 512 224 9.21
15 lcnet_075 3674.09 138.887 512 224 2.36
16 vit_small_patch32_224 3657.34 139.252 512 224 22.88
17 vit_tiny_r_s16_p8_224 3407.13 149.506 512 224 6.34
18 regnetx_002 3372.01 151.204 512 224 2.68
19 levit_192 3357.19 151.505 512 224 10.95
20 mnasnet_small 3158.42 161.274 512 224 2.03
21 regnety_002 3119.2 163.263 512 224 3.16
22 lcnet_100 3075.72 165.994 512 224 2.95
23 mobilenetv2_035 3007.95 169.496 512 224 1.68
24 gernet_s 2901.28 175.82 512 224 8.17
25 gluon_resnet18_v1b 2671.91 191.302 512 224 11.69
26 swsl_resnet18 2669.15 191.488 512 224 11.69
27 ssl_resnet18 2668.71 191.54 512 224 11.69
28 resnet18 2662.83 191.947 512 224 11.69
29 mobilenetv2_050 2596.25 196.482 512 224 1.97
30 levit_256 2559.67 199.033 512 224 18.89
31 regnetx_004 2499.65 203.84 512 224 5.16
32 mnasnet_050 2494.39 204.524 512 224 2.22
33 semnasnet_050 2494.01 204.433 512 224 2.08
34 seresnet18 2463.7 207.356 512 224 11.78
35 ese_vovnet19b_slim_dw 2437.98 209.545 512 224 1.9
36 legacy_seresnet18 2413.99 211.632 512 224 11.78
37 tinynet_c 2389.53 213.326 512 184 2.46
38 tf_mobilenetv3_large_minimal_100 2278.25 224.06 512 224 3.92
39 lcnet_150 2248.73 227.214 512 224 4.5
40 mobilenetv3_large_075 2139.42 238.494 512 224 3.99
41 ghostnet_050 2137.33 238.296 512 224 2.59
42 resnet18d 2046.03 249.892 512 224 11.71
43 tf_mobilenetv3_large_075 2027.78 251.65 512 224 3.99
44 regnetx_006 2023.49 252.29 512 224 6.2
45 ese_vovnet19b_slim 1970.7 259.464 512 224 3.17
46 mobilenetv3_rw 1940.58 263.024 512 224 5.48
47 mobilenetv3_large_100 1936.66 263.562 512 224 5.48
48 mobilenetv3_large_100_miil 1936.5 263.563 512 224 5.48
49 mnasnet_075 1879.23 271.718 512 224 3.17
50 mobilenetv2_075 1868.15 273.318 512 224 2.64
51 tf_efficientnetv2_b0 1853.32 275.137 512 224 7.14
52 tf_mobilenetv3_large_100 1838.66 277.647 512 224 5.48
53 regnety_004 1819.61 280.334 512 224 4.34
54 resnetblur18 1808.21 282.828 512 224 11.69
55 semnasnet_075 1791.94 284.855 512 224 2.91
56 regnety_006 1780.58 286.558 512 224 6.06
57 mobilenetv2_100 1744.9 292.687 512 224 3.5
58 skresnet18 1742.33 293.29 512 224 11.96
59 mnasnet_b1 1686.64 302.825 512 224 4.38
60 mnasnet_100 1686.2 302.919 512 224 4.38
61 deit_tiny_patch16_224 1678.5 304.281 512 224 5.72
62 vit_tiny_patch16_224 1673.2 305.238 512 224 5.72
63 tinynet_b 1669.81 305.621 512 188 3.73
64 hardcorenas_a 1656.9 308.354 512 224 5.26
65 deit_tiny_distilled_patch16_224 1654.85 308.608 512 224 5.91
66 hardcorenas_b 1648.45 309.73 512 224 5.18
67 regnetx_008 1647.09 310.092 512 224 7.26
68 mnasnet_a1 1641.47 311.08 512 224 3.89
69 semnasnet_100 1640.14 311.319 512 224 3.89
70 levit_384 1616.42 315.722 512 224 39.13
71 gluon_resnet34_v1b 1598.5 319.781 512 224 21.8
72 resnet34 1593.87 320.693 512 224 21.8
73 tv_resnet34 1592.81 320.898 512 224 21.8
74 mixer_b32_224 1579.25 323.449 512 224 60.29
75 hardcorenas_c 1569.06 325.387 512 224 5.52
76 visformer_tiny 1563.94 326.764 512 224 10.32
77 spnasnet_100 1551.19 329.16 512 224 4.42
78 pit_ti_distilled_224 1547.24 330.092 512 224 5.1
79 pit_ti_224 1546.92 330.186 512 224 4.85
80 hardcorenas_d 1543.77 330.549 512 224 7.5
81 ghostnet_100 1541.6 330.868 512 224 5.18
82 vit_base_patch32_224 1529.64 333.95 512 224 88.22
83 vit_base_patch32_224_sam 1527.96 334.33 512 224 88.22
84 regnety_008 1525.57 334.693 512 224 6.26
85 resmlp_12_224 1513.1 337.634 512 224 15.35
86 resmlp_12_distilled_224 1513.05 337.643 512 224 15.35
87 seresnet34 1461.69 349.453 512 224 21.96
88 nf_regnet_b0 1450.04 351.967 512 256 8.76
89 legacy_seresnet34 1428.59 357.543 512 224 21.96
90 gernet_m 1427.9 357.926 512 224 21.14
91 ese_vovnet19b_dw 1411.33 362.322 512 224 6.54
92 nf_resnet26 1408.11 363.145 512 224 16.0
93 dla46_c 1390.48 367.526 512 224 1.3
94 tinynet_a 1383.86 368.826 512 192 6.19
95 efficientnet_lite0 1368.92 373.303 512 224 4.65
96 mobilenetv2_110d 1368.66 279.598 384 224 4.52
97 rexnetr_100 1367.14 279.805 384 224 4.88
98 rexnet_100 1361.11 281.051 384 224 4.8
99 resnet34d 1349.98 378.71 512 224 21.82
100 xcit_nano_12_p16_224_dist 1340.16 380.375 512 224 3.05
101 xcit_nano_12_p16_224 1338.66 380.8 512 224 3.05
102 hardcorenas_f 1338.06 381.608 512 224 8.2
103 selecsls42 1328.24 384.874 512 224 30.35
104 ghostnet_130 1326.71 384.661 512 224 7.36
105 selecsls42b 1324.18 386.065 512 224 32.46
106 mixer_s16_224 1308.0 390.939 512 224 18.53
107 resnet26 1305.0 391.896 512 224 16.0
108 tf_efficientnet_lite0 1300.06 393.134 512 224 4.65
109 hardcorenas_e 1287.59 396.566 512 224 8.07
110 hrnet_w18_small 1275.09 400.255 512 224 13.19
111 pit_xs_distilled_224 1245.81 410.186 512 224 11.0
112 pit_xs_224 1244.79 410.521 512 224 10.62
113 mnasnet_140 1243.07 411.14 512 224 7.12
114 fbnetc_100 1241.42 411.527 512 224 5.57
115 mobilenetv2_140 1236.2 309.893 384 224 6.11
116 vit_small_patch32_384 1210.76 422.138 512 384 22.92
117 efficientnet_b0 1207.97 316.872 384 224 5.29
118 semnasnet_140 1199.21 426.076 512 224 6.11
119 nf_seresnet26 1183.4 432.047 512 224 17.4
120 tf_efficientnetv2_b1 1182.26 323.455 384 240 8.14
121 vit_tiny_r_s16_p8_384 1176.2 325.707 384 384 6.36
122 repvgg_b0 1166.7 437.858 512 224 15.82
123 gmixer_12_224 1164.26 439.045 512 224 12.7
124 tf_efficientnet_b0_ns 1155.19 331.423 384 224 5.29
125 tf_efficientnet_b0 1155.11 331.42 384 224 5.29
126 tf_efficientnet_b0_ap 1154.21 331.702 384 224 5.29
127 efficientnet_b1_pruned 1141.45 447.176 512 240 6.33
128 selecsls60 1132.77 451.165 512 224 30.67
129 selecsls60b 1130.1 452.225 512 224 32.77
130 resnet26d 1110.35 460.655 512 224 16.01
131 nf_ecaresnet26 1108.5 461.384 512 224 16.0
132 rexnetr_130 1084.92 234.909 256 224 7.61
133 mixnet_s 1079.62 473.081 512 224 4.13
134 dla34 1055.21 484.649 512 224 15.74
135 dla46x_c 1044.64 489.413 512 224 1.07
136 rexnet_130 1038.12 245.54 256 224 7.56
137 regnetx_016 1027.51 497.437 512 224 9.19
138 mobilenetv2_120d 1026.61 248.294 256 224 5.83
139 ecaresnet50d_pruned 1019.51 501.3 512 224 19.94
140 tf_mixnet_s 1018.74 501.408 512 224 4.13
141 skresnet34 1008.77 506.519 512 224 22.28
142 dla60x_c 999.33 511.452 512 224 1.32
143 gernet_l 994.19 514.18 512 256 31.08
144 xcit_tiny_12_p16_224 974.89 523.578 512 224 6.72
145 xcit_tiny_12_p16_224_dist 974.56 523.762 512 224 6.72
146 rexnetr_150 962.03 265.059 256 224 9.78
147 crossvit_tiny_240 946.09 404.397 384 240 7.01
148 crossvit_9_240 942.0 406.34 384 240 8.55
149 rexnet_150 920.27 277.114 256 224 9.73
150 repvgg_a2 916.8 557.644 512 224 28.21
151 legacy_seresnext26_32x4d 911.29 561.256 512 224 16.79
152 efficientnet_lite1 907.6 281.167 256 240 5.42
153 crossvit_9_dagger_240 907.56 421.794 384 240 8.78
154 regnety_016 905.38 563.868 512 224 11.2
155 convit_tiny 905.04 423.366 384 224 5.71
156 gmlp_ti16_224 895.37 427.435 384 224 5.87
157 efficientnet_es_pruned 894.51 571.683 512 224 5.44
158 efficientnet_es 894.06 571.94 512 224 5.44
159 resnest14d 890.17 574.739 512 224 10.61
160 deit_small_patch16_224 879.08 436.051 384 224 22.05
161 vit_small_patch16_224 877.74 436.745 384 224 22.05
162 tf_efficientnet_es 877.36 582.875 512 224 5.44
163 resnetv2_50 874.29 584.904 512 224 25.55
164 resnext26ts 872.05 439.874 384 256 10.3
165 tf_efficientnet_lite1 870.75 293.088 256 240 5.42
166 resnet26t 867.6 589.639 512 256 16.01
167 tf_efficientnetv2_b2 866.58 294.02 256 260 10.1
168 deit_small_distilled_patch16_224 865.21 443.046 384 224 22.44
169 nf_regnet_b1 863.6 591.527 512 288 10.22
170 nf_regnet_b2 857.0 595.977 512 272 14.31
171 eca_resnext26ts 843.14 303.098 256 256 10.3
172 seresnext26ts 838.62 304.653 256 256 10.39
173 resnet50 826.48 463.878 384 224 25.56
174 ssl_resnet50 826.14 464.04 384 224 25.56
175 botnet26t_256 825.99 464.363 384 256 12.49
176 tv_resnet50 825.99 464.131 384 224 25.56
177 swsl_resnet50 825.61 464.367 384 224 25.56
178 gluon_resnet50_v1b 825.26 464.548 384 224 25.56
179 gcresnext26ts 820.94 311.077 256 256 10.48
180 seresnext26t_32x4d 819.08 468.216 384 224 16.81
181 seresnext26tn_32x4d 818.65 468.46 384 224 16.81
182 seresnext26d_32x4d 816.35 469.756 384 224 16.81
183 pit_s_224 814.17 313.637 256 224 23.46
184 pit_s_distilled_224 813.41 313.92 256 224 24.04
185 vgg11 798.47 641.065 512 224 132.86
186 halonet26t 796.75 481.425 384 256 12.48
187 eca_botnext26ts_256 794.14 321.819 256 256 10.59
188 resnetv2_50t 783.96 652.33 512 224 25.57
189 vit_small_resnet26d_224 783.75 488.981 384 224 63.61
190 ecaresnext26t_32x4d 782.53 490.179 384 224 15.41
191 ecaresnext50t_32x4d 782.45 490.233 384 224 15.41
192 resnetv2_50d 781.21 654.649 512 224 25.57
193 tresnet_m 773.27 659.381 512 224 31.39
194 fbnetv3_d 771.82 329.985 256 256 10.31
195 eca_halonext26ts 770.01 331.906 256 256 10.76
196 cspresnet50 766.64 500.094 384 256 21.62
197 fbnetv3_b 765.95 499.824 384 256 8.6
198 ecaresnet101d_pruned 765.08 667.536 512 224 24.88
199 vovnet39a 764.37 669.255 512 224 22.6
200 gluon_resnet50_v1c 761.03 503.811 384 224 25.58
201 cspresnext50 757.53 506.115 384 224 20.57
202 efficientnet_cc_b0_4e 755.85 506.911 384 224 13.31
203 ecaresnetlight 754.13 678.075 512 224 30.16
204 efficientnet_cc_b0_8e 750.91 510.273 384 224 24.01
205 mixnet_m 749.54 510.912 384 224 5.01
206 efficientnet_b2_pruned 748.23 340.751 256 260 8.31
207 resnet50t 745.06 514.605 384 224 25.57
208 resmlp_24_distilled_224 744.01 342.726 256 224 30.02
209 gluon_resnet50_v1d 743.98 515.37 384 224 25.58
210 resnet50d 743.76 515.521 384 224 25.58
211 resmlp_24_224 743.43 342.965 256 224 30.02
212 legacy_seresnet50 739.53 518.192 384 224 28.09
213 resnet32ts 736.71 346.942 256 256 17.96
214 ese_vovnet39b 733.2 523.109 384 224 24.57
215 tf_efficientnet_cc_b0_4e 732.92 522.856 384 224 13.31
216 tf_efficientnet_cc_b0_8e 731.1 524.143 384 224 24.01
217 dpn68b 728.18 526.241 384 224 12.61
218 resnet33ts 727.42 351.376 256 256 19.68
219 selecsls84 719.68 710.264 512 224 50.95
220 nf_seresnet50 718.4 533.452 384 224 28.09
221 rexnetr_200 715.44 267.313 192 224 16.52
222 visformer_small 713.57 537.5 384 224 40.22
223 res2net50_48w_2s 712.35 538.286 384 224 25.29
224 tf_mixnet_m 711.23 538.464 384 224 5.01
225 dpn68 711.07 539.016 384 224 12.61
226 seresnet50 710.55 539.38 384 224 28.09
227 lambda_resnet26t 708.6 541.35 384 256 10.96
228 bat_resnext26ts 706.1 361.453 256 256 10.73
229 tf_efficientnet_b1 705.85 361.254 256 240 7.79
230 tf_efficientnet_b1_ns 705.53 361.468 256 240 7.79
231 tf_efficientnet_b1_ap 705.49 361.504 256 240 7.79
232 seresnet33ts 700.84 364.51 256 256 19.78
233 eca_resnet33ts 700.22 364.953 256 256 19.68
234 resnetblur50 694.99 551.777 384 224 25.56
235 cspresnet50d 694.84 551.823 384 256 21.64
236 rexnet_200 693.57 275.752 192 224 16.37
237 cspresnet50w 686.88 558.19 384 256 28.12
238 eca_vovnet39b 683.56 748.398 512 224 22.6
239 densenet121 682.9 373.209 256 224 7.98
240 dla60 682.79 561.488 384 224 22.04
241 efficientnet_b1 682.7 373.555 256 256 7.79
242 tv_densenet121 681.14 374.178 256 224 7.98
243 gcresnet33ts 680.99 374.966 256 256 19.88
244 efficientnet_lite2 680.43 375.329 256 260 6.09
245 resnest26d 672.85 570.012 384 224 17.07
246 resnetaa50d 669.52 572.758 384 224 25.58
247 vgg11_bn 669.19 382.326 256 224 132.87
248 gluon_resnet50_v1s 664.71 576.903 384 224 25.68
249 nf_ecaresnet50 663.54 577.843 384 224 25.56
250 hrnet_w18_small_v2 663.05 769.959 512 224 15.6
251 tf_efficientnet_lite2 656.12 389.28 256 260 6.09
252 vit_small_r26_s32_224 654.12 390.216 256 224 36.43
253 lambda_resnet26rpt_256 650.73 196.144 128 256 10.99
254 vit_base_resnet26d_224 650.56 589.099 384 224 101.4
255 seresnet50t 645.62 395.439 256 224 28.1
256 gluon_resnext50_32x4d 643.1 596.344 384 224 25.03
257 ssl_resnext50_32x4d 642.69 596.753 384 224 25.03
258 resnext50_32x4d 642.56 596.871 384 224 25.03
259 tv_resnext50_32x4d 642.26 597.116 384 224 25.03
260 swsl_resnext50_32x4d 642.22 597.166 384 224 25.03
261 haloregnetz_b 639.45 398.971 256 224 11.68
262 resnetrs50 639.32 599.548 384 224 35.69
263 densenet121d 637.87 399.654 256 224 8.0
264 regnetx_032 635.48 603.11 384 224 15.3
265 resnetblur50d 634.6 402.62 256 224 25.58
266 res2net50_26w_4s 625.68 407.946 256 224 25.7
267 skresnet50 620.44 411.364 256 224 25.8
268 ese_vovnet57b 618.38 620.149 384 224 38.61
269 densenetblur121d 611.64 416.815 256 224 8.0
270 ecaresnet50d 601.62 424.614 256 224 25.58
271 adv_inception_v3 592.83 646.406 384 299 23.83
272 resnext50d_32x4d 590.58 432.684 256 224 25.05
273 gluon_inception_v3 589.45 650.157 384 299 23.83
274 inception_v3 588.55 651.172 384 299 23.83
275 tf_inception_v3 588.36 651.336 384 299 23.83
276 seresnetaa50d 587.38 434.758 256 224 28.11
277 sehalonet33ts 585.23 436.688 256 256 13.69
278 coat_lite_tiny 580.33 660.876 384 224 5.72
279 gmixer_24_224 577.9 441.611 256 224 24.72
280 gcresnet50t 577.25 442.093 256 256 25.9
281 efficientnet_b3_pruned 576.96 442.1 256 300 9.86
282 mixnet_l 576.91 442.34 256 224 7.33
283 resnetv2_50x1_bit_distilled 575.09 333.113 192 224 25.55
284 skresnet50d 572.85 445.576 256 224 25.82
285 vovnet57a 569.57 898.133 512 224 36.64
286 res2next50 568.73 448.924 256 224 24.67
287 seresnext50_32x4d 567.85 449.777 256 224 27.56
288 gluon_seresnext50_32x4d 567.27 450.224 256 224 27.56
289 cspresnext50_iabn 565.5 676.906 384 256 20.57
290 legacy_seresnext50_32x4d 565.44 451.632 256 224 27.56
291 resnest50d_1s4x24d 561.18 454.967 256 224 25.68
292 res2net50_14w_8s 560.86 454.355 256 224 25.06
293 repvgg_b1g4 560.47 912.475 512 224 39.97
294 densenet169 558.29 456.216 256 224 14.15
295 convnext_tiny 558.25 457.708 256 224 28.59
296 convnext_tiny_hnf 555.94 459.59 256 224 28.59
297 coat_lite_mini 554.95 691.16 384 224 11.01
298 regnety_040 554.71 690.835 384 224 20.65
299 dla60_res2net 550.65 463.555 256 224 20.85
300 darknet53 549.0 465.546 256 256 41.61
301 vgg13 548.68 699.681 384 224 133.05
302 tf_mixnet_l 547.03 466.516 256 224 7.33
303 dla60x 544.8 469.001 256 224 17.35
304 efficientnet_em 542.04 707.524 384 240 6.9
305 regnetx_040 541.76 707.76 384 224 22.12
306 nf_resnet101 541.63 707.493 384 224 44.55
307 tf_efficientnet_em 539.79 473.368 256 240 6.9
308 nf_regnet_b3 535.57 476.345 256 320 18.59
309 resnetv2_101 535.41 476.74 256 224 44.54
310 resnetv2_50d_gn 535.21 357.946 192 224 25.57
311 tf_efficientnet_b2_ns 534.14 358.079 192 260 9.11
312 tf_efficientnet_b2 533.77 358.295 192 260 9.11
313 tf_efficientnet_b2_ap 533.7 358.382 192 260 9.11
314 gcresnext50ts 533.26 358.674 192 256 15.67
315 tf_efficientnetv2_b3 532.84 358.667 192 300 14.36
316 nf_resnet50 527.83 726.718 384 288 25.56
317 sebotnet33ts_256 526.55 242.351 128 256 13.7
318 xcit_small_12_p16_224 524.79 486.162 256 224 26.25
319 xcit_small_12_p16_224_dist 524.65 486.278 256 224 26.25
320 resnet50_gn 521.4 367.482 192 224 25.56
321 efficientnetv2_rw_t 520.2 367.035 192 288 13.65
322 resnet101 518.79 491.983 256 224 44.55
323 tv_resnet101 518.57 492.187 256 224 44.55
324 gluon_resnet101_v1b 518.13 492.648 256 224 44.55
325 crossvit_small_240 516.01 370.633 192 240 26.86
326 twins_svt_small 514.62 496.02 256 224 24.06
327 vit_base_r26_s32_224 510.65 374.824 192 224 101.38
328 xcit_tiny_24_p16_224_dist 510.27 498.69 256 224 12.12
329 xcit_tiny_24_p16_224 510.13 498.896 256 224 12.12
330 gmlp_s16_224 504.22 379.373 192 224 19.42
331 resnetv2_101d 500.13 510.457 256 224 44.56
332 mixer_b16_224 499.95 511.32 256 224 59.88
333 mixer_b16_224_miil 499.11 512.204 256 224 59.88
334 vit_base_resnet50d_224 497.25 513.299 256 224 110.97
335 dla60_res2next 494.84 516.012 256 224 17.03
336 gluon_resnet101_v1c 492.43 518.398 256 224 44.57
337 vit_base_patch32_384 491.61 519.97 256 384 88.3
338 repvgg_b1 491.0 1041.743 512 224 57.42
339 resmlp_36_224 490.1 389.77 192 224 44.69
340 resmlp_36_distilled_224 490.1 389.707 192 224 44.69
341 efficientnet_b2 489.47 390.855 192 288 9.11
342 efficientnet_b2a 489.25 391.025 192 288 9.11
343 vit_large_patch32_224 487.93 523.265 256 224 306.54
344 gluon_resnet101_v1d 484.72 526.651 256 224 44.57
345 gc_efficientnetv2_rw_t 482.91 395.05 192 288 13.68
346 wide_resnet50_2 482.59 529.718 256 224 68.88
347 mixer_l32_224 479.14 399.369 192 224 206.94
348 cait_xxs24_224 478.85 532.347 256 224 11.96
349 cspdarknet53 478.49 534.051 256 256 27.64
350 efficientnet_cc_b1_8e 478.04 534.008 256 240 39.72
351 crossvit_15_240 474.46 403.054 192 240 27.53
352 resnest50d 473.17 539.784 256 224 27.48
353 res2net50_26w_6s 470.73 542.208 256 224 37.05
354 ecaresnet26t 470.49 543.574 256 320 16.01
355 dla102 468.81 544.602 256 224 33.27
356 regnetz_b16 467.13 409.622 192 288 9.72
357 xcit_nano_12_p16_384_dist 466.59 547.027 256 384 3.05
358 tf_efficientnet_cc_b1_8e 466.17 547.634 256 240 39.72
359 cspdarknet53_iabn 464.37 824.482 384 256 27.64
360 crossvit_15_dagger_240 458.06 417.527 192 240 28.21
361 regnetx_080 454.82 843.271 384 224 39.57
362 vgg13_bn 453.43 564.307 256 224 133.05
363 halonet50ts 453.0 422.945 192 256 22.73
364 lambda_resnet50ts 451.97 423.868 192 256 21.54
365 legacy_seresnet101 451.72 564.699 256 224 49.33
366 resnetaa101d 451.69 565.275 256 224 44.57
367 gluon_resnet101_v1s 450.48 566.841 256 224 44.67
368 vgg16 449.51 854.057 384 224 138.36
369 densenet201 445.52 428.155 192 224 20.01
370 swin_tiny_patch4_window7_224 443.41 576.481 256 224 28.29
371 seresnet101 441.23 578.213 256 224 49.33
372 nf_seresnet101 438.29 581.969 256 224 49.33
373 resnetblur101d 436.36 585.216 256 224 44.57
374 mixnet_xl 424.84 450.181 192 224 11.9
375 twins_pcpvt_small 421.68 605.595 256 224 24.11
376 nfnet_l0 417.1 612.673 256 288 35.07
377 botnet50ts_256 413.47 308.688 128 256 22.74
378 skresnext50_32x4d 412.36 619.54 256 224 27.48
379 gluon_resnext101_32x4d 412.2 619.638 256 224 44.18
380 swsl_resnext101_32x4d 412.03 619.892 256 224 44.18
381 resnext101_32x4d 411.85 620.12 256 224 44.18
382 ssl_resnext101_32x4d 411.66 620.437 256 224 44.18
383 vit_tiny_patch16_384 409.64 311.71 128 384 5.79
384 convit_small 402.9 475.62 192 224 27.78
385 halo2botnet50ts_256 398.01 320.711 128 256 22.64
386 res2net101_26w_4s 397.75 480.37 192 224 45.21
387 efficientnet_lite3 397.55 320.952 128 300 8.2
388 tresnet_l 396.67 1287.459 512 224 55.99
389 eca_nfnet_l0 396.55 644.544 256 288 24.14
390 resnet51q 393.31 487.375 192 288 35.7
391 nf_ecaresnet101 390.17 654.38 256 224 44.55
392 dla102x 386.87 494.82 192 224 26.31
393 res2net50_26w_8s 386.73 494.414 192 224 48.4
394 lamhalobotnet50ts_256 386.04 330.65 128 256 22.57
395 regnetx_064 385.03 664.106 256 224 26.21
396 regnety_032 384.2 665.001 256 288 19.44
397 tf_efficientnet_lite3 383.37 332.84 128 300 8.2
398 vgg19 381.34 1006.734 384 224 143.67
399 xception 378.7 337.254 128 299 22.86
400 vgg16_bn 376.28 680.016 256 224 138.37
401 ecaresnet101d 375.12 680.773 256 224 44.57
402 resnetv2_152 373.91 682.585 256 224 60.19
403 resnest50d_4s2x40d 372.15 686.672 256 224 30.42
404 regnety_064 370.51 689.324 256 224 30.58
405 repvgg_b2g4 370.32 1381.565 512 224 61.76
406 gluon_resnet152_v1b 366.03 522.463 192 224 60.19
407 tv_resnet152 365.47 523.229 192 224 60.19
408 resnet152 365.43 523.289 192 224 60.19
409 convnext_small 365.2 524.035 192 224 50.22
410 ese_vovnet99b 363.8 702.311 256 224 63.2
411 xcit_nano_12_p8_224 362.09 705.393 256 224 3.05
412 xcit_nano_12_p8_224_dist 361.89 705.792 256 224 3.05
413 gluon_seresnext101_32x4d 361.32 529.345 192 224 48.96
414 seresnext101_32x4d 361.3 529.348 192 224 48.96
415 legacy_seresnext101_32x4d 359.71 531.693 192 224 48.96
416 nfnet_f0 359.11 711.802 256 256 71.49
417 vit_base_patch16_224_miil 357.29 357.529 128 224 86.54
418 nest_tiny 356.86 357.893 128 224 17.06
419 nfnet_f0s 355.27 719.527 256 256 71.49
420 resnet61q 355.26 359.368 128 288 36.85
421 resnetv2_152d 355.12 538.597 192 224 60.2
422 jx_nest_tiny 353.84 360.954 128 224 17.06
423 vit_small_resnet50d_s16_224 353.26 542.366 192 224 57.53
424 hrnet_w18 352.9 721.041 256 224 21.3
425 deit_base_patch16_224 352.4 362.443 128 224 86.57
426 gluon_resnet152_v1c 352.05 543.263 192 224 60.21
427 vit_base_patch16_224_sam 351.83 363.047 128 224 86.57
428 vit_base_patch16_224 351.68 363.189 128 224 86.57
429 ese_vovnet99b_iabn 349.3 1096.435 384 224 63.2
430 gluon_resnet152_v1d 348.27 549.187 192 224 60.21
431 deit_base_distilled_patch16_224 347.05 368.041 128 224 87.34
432 crossvit_18_240 345.05 369.11 128 240 43.27
433 xcit_tiny_12_p16_384_dist 335.91 569.966 192 384 6.72
434 fbnetv3_g 335.24 379.926 128 288 16.62
435 regnety_080 335.22 762.533 256 224 39.18
436 crossvit_18_dagger_240 333.95 381.492 128 240 44.27
437 repvgg_b2 331.54 1543.333 512 224 89.02
438 gluon_resnet152_v1s 330.47 578.863 192 224 60.32
439 densenet161 327.93 388.08 128 224 28.68
440 dla169 324.94 588.567 192 224 53.39
441 beit_base_patch16_224 323.79 394.303 128 224 86.53
442 coat_lite_small 323.43 592.328 192 224 19.84
443 vgg19_bn 322.88 792.477 256 224 143.68
444 dm_nfnet_f0 322.48 792.711 256 256 71.49
445 repvgg_b3g4 313.61 1223.425 384 224 83.83
446 tf_efficientnet_b3 313.56 406.655 128 300 12.23
447 tf_efficientnet_b3_ns 313.33 406.959 128 300 12.23
448 tf_efficientnet_b3_ap 313.29 407.029 128 300 12.23
449 legacy_seresnet152 311.06 614.195 192 224 66.82
450 ese_vovnet39b_evos 310.12 411.897 128 224 24.58
451 dpn92 308.99 827.182 256 224 37.67
452 efficientnet_b3 306.79 415.635 128 320 12.23
453 efficientnet_b3a 306.46 416.067 128 320 12.23
454 cait_xxs36_224 306.42 414.392 128 224 17.3
455 inception_v4 305.84 625.702 192 299 42.68
456 twins_pcpvt_base 304.9 627.165 192 224 43.83
457 regnetx_120 304.64 839.453 256 224 46.11
458 ecaresnet50t 303.47 420.896 128 320 25.57
459 hrnet_w32 302.01 631.305 192 224 41.23
460 seresnet152 300.58 422.864 128 224 66.82
461 hrnet_w30 299.22 851.13 256 224 37.71
462 convmixer_1024_20_ks9_p14 299.07 855.183 256 224 24.38
463 regnetz_c16 296.99 429.626 128 320 13.46
464 twins_svt_base 296.14 430.333 128 224 56.07
465 tresnet_xl 289.45 1323.227 384 224 78.44
466 swin_small_patch4_window7_224 288.11 442.639 128 224 49.61
467 xception41 287.58 443.922 128 299 26.97
468 regnety_120 286.74 668.36 192 224 51.82
469 pit_b_224 286.53 334.205 96 224 73.76
470 pit_b_distilled_224 285.98 334.794 96 224 74.79
471 nf_regnet_b4 282.38 451.32 128 384 30.21
472 wide_resnet101_2 281.79 679.914 192 224 126.89
473 mixnet_xxl 275.31 463.133 128 224 23.96
474 resnetv2_50d_evob 273.52 700.95 192 224 25.59
475 xcit_small_24_p16_224_dist 271.4 468.703 128 224 47.67
476 xcit_small_24_p16_224 271.18 469.033 128 224 47.67
477 repvgg_b3 269.71 1422.719 384 224 123.09
478 convnext_base 268.96 474.28 128 224 88.59
479 convnext_base_in22ft1k 268.69 474.728 128 224 88.59
480 resnetv2_50d_evos 264.08 483.67 128 224 25.59
481 resnext101_64x4d 263.45 484.429 128 224 83.46
482 gluon_resnext101_64x4d 263.28 484.77 128 224 83.46
483 cait_s24_224 262.8 484.707 128 224 46.92
484 dla102x2 261.95 487.178 128 224 41.28
485 resnet200 261.21 487.362 128 224 64.67
486 xcit_tiny_12_p8_224_dist 256.95 496.557 128 224 6.71
487 xcit_tiny_12_p8_224 256.64 497.116 128 224 6.71
488 regnetx_160 256.42 747.752 192 224 54.28
489 inception_resnet_v2 251.21 761.158 192 299 55.84
490 ens_adv_inception_resnet_v2 251.14 761.388 192 299 55.84
491 resnetrs101 248.83 512.362 128 288 63.62
492 efficientnet_el 248.41 514.229 128 300 10.59
493 efficientnet_el_pruned 248.32 514.423 128 300 10.59
494 swsl_resnext101_32x8d 247.35 516.019 128 224 88.79
495 ssl_resnext101_32x8d 247.27 516.22 128 224 88.79
496 ig_resnext101_32x8d 247.19 516.409 128 224 88.79
497 resnext101_32x8d 247.05 516.7 128 224 88.79
498 dpn98 245.05 520.932 128 224 61.57
499 tf_efficientnet_el 244.21 523.119 128 300 10.59
500 efficientnetv2_s 241.82 394.917 96 384 21.46
501 tf_efficientnetv2_s_in21ft1k 240.69 396.775 96 384 21.46
502 tf_efficientnetv2_s 239.59 398.639 96 384 21.46
503 gluon_seresnext101_64x4d 239.24 533.021 128 224 88.23
504 gmlp_b16_224 238.08 401.808 96 224 73.08
505 resnet101d 236.98 538.626 128 320 44.57
506 nest_small 234.62 407.715 96 224 38.35
507 resnest101e 234.0 544.633 128 256 48.28
508 jx_nest_small 233.02 410.534 96 224 38.35
509 crossvit_base_240 230.08 415.793 96 240 105.03
510 efficientnetv2_rw_s 228.99 277.434 64 384 23.94
511 twins_svt_large 227.78 560.084 128 224 99.27
512 coat_tiny 226.98 562.116 128 224 5.5
513 seresnext101_32x8d 225.04 566.768 128 224 93.57
514 vit_large_r50_s32_224 220.85 432.537 96 224 328.99
515 swin_base_patch4_window7_224 220.19 579.694 128 224 87.77
516 gluon_xception65 220.18 434.23 96 299 39.92
517 xception65 219.22 436.124 96 299 39.92
518 hrnet_w40 218.29 875.173 192 224 57.56
519 twins_pcpvt_large 217.89 583.814 128 224 60.99
520 vit_small_r26_s32_384 215.21 296.22 64 384 36.47
521 convit_base 210.68 454.737 96 224 86.54
522 vit_small_patch16_384 209.29 305.058 64 384 22.2
523 hrnet_w44 203.55 938.867 192 224 67.06
524 hrnet_w48 203.33 625.151 128 224 77.47
525 tresnet_m_448 203.05 943.084 192 448 31.39
526 efficientnet_lite4 198.26 321.517 64 380 13.01
527 xcit_medium_24_p16_224 197.63 482.811 96 224 84.4
528 xcit_medium_24_p16_224_dist 197.58 482.902 96 224 84.4
529 vit_base_r50_s16_224 195.39 326.034 64 224 98.66
530 densenet264 194.98 488.653 96 224 72.69
531 regnetz_d8 194.31 327.837 64 320 23.37
532 tf_efficientnet_lite4 192.8 330.742 64 380 13.01
533 coat_mini 192.49 663.128 128 224 10.34
534 eca_nfnet_l1 186.17 685.824 128 320 41.41
535 regnetz_d32 182.61 348.904 64 320 27.58
536 dpn131 182.53 699.301 128 224 79.25
537 xcit_small_12_p16_384_dist 180.8 529.313 96 384 26.25
538 nest_base 176.01 362.129 64 224 67.72
539 xcit_tiny_24_p16_384_dist 175.08 545.374 96 384 12.12
540 jx_nest_base 174.7 364.806 64 224 67.72
541 dpn107 171.15 746.299 128 224 86.92
542 resnet152d 170.12 562.135 96 320 60.21
543 hrnet_w64 167.69 758.827 128 224 128.06
544 efficientnet_b4 167.63 379.88 64 384 19.34
545 xception71 165.9 383.797 64 299 42.34
546 densenet264d_iabn 163.71 1168.658 192 224 72.74
547 regnety_320 163.11 783.43 128 224 145.05
548 halonet_h1 161.83 394.259 64 256 8.1
549 convnext_large 159.74 599.371 96 224 197.77
550 convnext_large_in22ft1k 159.74 599.406 96 224 197.77
551 tnt_s_patch16_224 158.13 807.71 128 224 23.76
552 tf_efficientnet_b4 157.41 404.653 64 380 19.34
553 tf_efficientnet_b4_ap 157.35 404.822 64 380 19.34
554 tf_efficientnet_b4_ns 157.32 404.855 64 380 19.34
555 mixer_l16_224 155.84 614.71 96 224 208.2
556 seresnet200d 155.16 614.74 96 256 71.86
557 ecaresnet200d 149.12 640.536 96 256 64.69
558 vit_large_patch32_384 146.32 435.992 64 384 306.63
559 regnetx_320 143.56 890.603 128 224 107.81
560 seresnet152d 141.0 450.755 64 320 66.84
561 resnetrs152 139.45 455.893 64 320 86.62
562 resnetv2_50x1_bitm 138.96 344.659 48 448 25.55
563 gluon_senet154 138.12 691.987 96 224 115.09
564 senet154 138.03 692.329 96 224 115.09
565 xcit_small_12_p8_224_dist 137.35 464.322 64 224 26.21
566 xcit_small_12_p8_224 137.29 464.503 64 224 26.21
567 legacy_senet154 136.93 698.045 96 224 115.09
568 regnety_160 133.17 719.682 96 288 83.59
569 xcit_tiny_24_p8_224 132.53 721.469 96 224 12.11
570 xcit_tiny_24_p8_224_dist 132.41 722.018 96 224 12.11
571 swin_large_patch4_window7_224 132.32 482.098 64 224 196.53
572 tnt_b_patch16_224 126.43 757.574 96 224 65.41
573 resnet200d 123.09 517.162 64 320 64.69
574 nfnet_f1 122.2 783.645 96 320 132.63
575 xcit_nano_12_p8_384_dist 122.19 522.144 64 384 3.05
576 nfnet_f1s 121.0 791.465 96 320 132.63
577 xcit_large_24_p16_224_dist 119.24 533.65 64 224 189.1
578 xcit_large_24_p16_224 119.19 534.033 64 224 189.1
579 efficientnetv2_m 117.91 404.134 48 416 54.14
580 seresnet269d 115.13 550.403 64 256 113.67
581 nf_regnet_b5 109.6 581.496 64 456 49.74
582 dm_nfnet_f1 109.28 583.486 64 320 132.63
583 vit_large_patch16_224 106.61 448.786 48 224 304.33
584 convnext_xlarge_in22ft1k 104.28 612.171 64 224 350.2
585 crossvit_15_dagger_408 103.01 308.973 32 408 28.5
586 efficientnetv2_rw_m 101.82 311.114 32 416 53.24
587 regnetz_e8 100.87 473.939 48 320 57.7
588 tresnet_l_448 99.64 1281.316 128 448 55.99
589 beit_large_patch16_224 98.41 485.874 48 224 304.43
590 resnetrs200 97.6 487.799 48 320 93.21
591 ig_resnext101_32x16d 96.96 988.697 96 224 194.03
592 swsl_resnext101_32x16d 96.88 989.444 96 224 194.03
593 ssl_resnext101_32x16d 96.83 989.971 96 224 194.03
594 xcit_small_24_p16_384_dist 92.8 514.221 48 384 47.67
595 eca_nfnet_l2 92.75 687.481 64 384 56.72
596 convnext_base_384_in22ft1k 92.09 519.541 48 384 88.59
597 deit_base_patch16_384 90.25 353.802 32 384 86.86
598 vit_base_patch16_384 90.2 353.987 32 384 86.86
599 deit_base_distilled_patch16_384 88.49 360.855 32 384 87.63
600 tf_efficientnetv2_m 88.2 359.811 32 480 54.14
601 tf_efficientnetv2_m_in21ft1k 88.09 360.345 32 480 54.14
602 xcit_tiny_12_p8_384_dist 87.2 548.793 48 384 6.71
603 cait_xxs24_384 86.38 368.153 32 384 12.03
604 resnetv2_101x1_bitm 85.15 374.386 32 448 44.54
605 resnetv2_152x2_bit_teacher 85.01 374.341 32 224 236.34
606 convmixer_768_32 84.46 1135.466 96 224 21.11
607 resnest200e 77.86 611.828 48 320 70.2
608 crossvit_18_dagger_408 77.59 307.496 24 408 44.61
609 beit_base_patch16_384 76.84 311.346 24 384 86.74
610 tresnet_xl_448 75.89 1261.775 96 448 78.44
611 efficientnet_b5 75.33 422.385 32 456 30.39
612 vit_large_r50_s32_384 73.95 430.573 32 384 329.09
613 tf_efficientnet_b5_ap 73.87 430.874 32 456 30.39
614 tf_efficientnet_b5_ns 73.84 431.06 32 456 30.39
615 tf_efficientnet_b5 73.76 431.443 32 456 30.39
616 regnetz_d8_evob 69.9 684.907 48 320 23.41
617 nfnet_f2 69.7 685.799 48 352 193.78
618 xcit_small_24_p8_224 69.53 457.315 32 224 47.63
619 xcit_small_24_p8_224_dist 69.49 457.517 32 224 47.63
620 nfnet_f2s 69.09 691.894 48 352 193.78
621 xcit_medium_24_p16_384_dist 67.17 473.231 32 384 84.4
622 resmlp_big_24_distilled_224 65.96 483.773 32 224 129.14
623 resmlp_big_24_224 65.95 483.848 32 224 129.14
624 resmlp_big_24_224_in22ft1k 65.95 483.866 32 224 129.14
625 regnetz_d8_evos 64.24 496.339 32 320 23.46
626 dm_nfnet_f2 62.49 765.031 48 352 193.78
627 ecaresnet269d 60.75 522.332 32 352 102.09
628 swin_base_patch4_window12_384 60.1 397.741 24 384 87.9
629 cait_xs24_384 59.89 398.428 24 384 26.67
630 pnasnet5large 59.35 535.626 32 331 86.06
631 resnetrs270 58.4 542.338 32 352 129.86
632 vit_base_patch8_224 58.07 274.782 16 224 86.58
633 nasnetalarge 57.07 556.194 32 331 88.75
634 cait_xxs36_384 56.42 422.115 24 384 17.37
635 convnext_large_384_in22ft1k 54.47 585.847 32 384 197.77
636 vit_base_r50_s16_384 54.27 293.3 16 384 98.95
637 vit_base_resnet50_384 54.19 293.736 16 384 98.95
638 xcit_medium_24_p8_224 51.72 615.776 32 224 84.32
639 xcit_medium_24_p8_224_dist 51.69 616.066 32 224 84.32
640 ig_resnext101_32x32d 51.67 617.889 32 224 468.53
641 eca_nfnet_l3 49.71 640.359 32 448 72.04
642 convmixer_1536_20 48.09 997.399 48 224 51.63
643 xcit_small_12_p8_384_dist 46.72 512.057 24 384 26.21
644 efficientnetv2_l 46.55 339.739 16 480 118.52
645 tf_efficientnetv2_l_in21ft1k 46.43 340.391 16 480 118.52
646 tf_efficientnetv2_l 46.41 340.685 16 480 118.52
647 xcit_tiny_24_p8_384_dist 44.75 712.159 32 384 12.11
648 cait_s24_384 44.7 355.627 16 384 47.06
649 efficientnet_b6 41.67 381.28 16 528 43.04
650 tf_efficientnet_b6_ap 41.13 386.3 16 528 43.04
651 tf_efficientnet_b6 41.11 386.574 16 528 43.04
652 tf_efficientnet_b6_ns 40.99 387.676 16 528 43.04
653 xcit_large_24_p16_384_dist 40.96 582.937 24 384 189.1
654 vit_huge_patch14_224 37.91 420.175 16 224 632.05
655 resnetrs350 36.74 646.103 24 384 163.96
656 swin_large_patch4_window12_384 36.6 435.55 16 384 196.74
657 nfnet_f3 34.36 694.502 24 416 254.92
658 nfnet_f3s 34.26 696.883 24 416 254.92
659 convnext_xlarge_384_in22ft1k 34.01 468.853 16 384 350.2
660 resnest269e 32.96 721.9 24 416 110.93
661 dm_nfnet_f3 31.6 755.444 24 416 254.92
662 resnetv2_50x3_bitm 31.14 513.017 16 448 217.32
663 xcit_large_24_p8_224_dist 30.37 523.887 16 224 188.93
664 xcit_large_24_p8_224 30.32 524.75 16 224 188.93
665 cait_s36_384 29.46 404.043 12 384 68.37
666 resnetv2_152x2_bit_teacher_384 29.25 408.083 12 384 236.34
667 tf_efficientnetv2_xl_in21ft1k 28.52 415.17 12 512 208.12
668 efficientnetv2_xl 28.5 415.628 12 512 208.12
669 ig_resnext101_32x48d 27.26 585.456 16 224 828.41
670 vit_large_patch16_384 26.62 299.076 8 384 304.72
671 efficientnet_b7 25.52 310.186 8 600 66.35
672 tf_efficientnet_b7 25.25 313.569 8 600 66.35
673 tf_efficientnet_b7_ap 25.18 314.571 8 600 66.35
674 tf_efficientnet_b7_ns 25.12 315.222 8 600 66.35
675 resnetrs420 24.94 632.993 16 416 191.89
676 xcit_small_24_p8_384_dist 23.58 505.912 12 384 47.63
677 beit_large_patch16_384 22.66 351.145 8 384 305.0
678 vit_giant_patch14_224 21.59 368.118 8 224 1012.61
679 resnetv2_152x2_bitm 21.27 373.944 8 448 236.34
680 nfnet_f4 18.45 645.682 12 512 316.07
681 nfnet_f4s 18.35 649.188 12 512 316.07
682 resnetv2_101x3_bitm 17.19 464.077 8 448 387.93
683 xcit_medium_24_p8_384_dist 17.03 466.878 8 384 84.32
684 dm_nfnet_f4 16.71 713.246 12 512 316.07
685 efficientnet_b8 12.85 463.389 6 672 87.41
686 tf_efficientnet_b8_ap 12.75 466.866 6 672 87.41
687 tf_efficientnet_b8 12.73 467.671 6 672 87.41
688 nfnet_f5 12.01 660.317 8 544 377.21
689 nfnet_f5s 11.94 664.267 8 544 377.21
690 cait_m36_384 11.32 526.589 6 384 271.22
691 dm_nfnet_f5 10.99 722.011 8 544 377.21
692 xcit_large_24_p8_384_dist 10.37 575.649 6 384 188.93
693 nfnet_f6 9.06 655.713 6 576 438.36
694 nfnet_f6s 9.04 657.589 6 576 438.36
695 tf_efficientnet_l2_ns_475 8.8 449.624 4 475 480.31
696 beit_large_patch16_512 8.36 356.829 3 512 305.67
697 dm_nfnet_f6 8.32 713.582 6 576 438.36
698 nfnet_f7 6.44 613.323 4 608 499.5
699 nfnet_f7s 6.38 619.793 4 608 499.5
700 cait_m48_448 4.6 430.517 2 448 356.46
701 resnetv2_152x4_bitm 4.42 450.22 2 480 936.53
702 tf_efficientnet_l2_ns 2.55 387.178 1 800 480.31
703 efficientnet_l2 2.52 391.57 1 800 480.31

@ -0,0 +1,699 @@
model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
mobilenetv3_small_050,10124.2,49.732,512,224,1.59
lcnet_035,9556.39,53.122,512,224,1.64
tinynet_e,9259.87,53.163,512,106,2.04
lcnet_050,8204.13,61.959,512,224,1.88
tf_mobilenetv3_small_minimal_100,8115.25,62.582,512,224,2.04
tinynet_d,7842.33,64.591,512,152,2.34
mobilenetv3_small_075,7645.76,66.298,512,224,2.04
mobilenetv3_small_100,7391.62,68.594,512,224,2.54
tf_mobilenetv3_small_075,7004.36,72.432,512,224,2.04
tf_mobilenetv3_small_100,6775.26,74.902,512,224,2.54
levit_128s,6249.41,81.115,512,224,7.78
lcnet_075,5706.1,89.275,512,224,2.36
lcnet_100,5288.36,96.356,512,224,2.95
mnasnet_small,4565.41,111.287,512,224,2.03
mnasnet_050,4479.4,113.569,512,224,2.22
levit_128,4339.94,116.946,512,224,9.21
mobilenetv2_035,4152.95,122.551,512,224,1.68
mixer_s32_224,4131.98,123.414,512,224,19.1
tinynet_c,4071.23,124.835,512,184,2.46
gernet_s,4039.7,126.102,512,224,8.17
semnasnet_050,3974.04,127.989,512,224,2.08
levit_192,3756.95,135.269,512,224,10.95
vit_small_patch32_224,3671.47,138.697,512,224,22.88
lcnet_150,3645.88,139.972,512,224,4.5
ssl_resnet18,3513.72,145.398,512,224,11.69
gluon_resnet18_v1b,3512.34,145.445,512,224,11.69
swsl_resnet18,3508.0,145.642,512,224,11.69
mobilenetv2_050,3501.31,145.498,512,224,1.97
resnet18,3496.86,146.104,512,224,11.69
vit_tiny_r_s16_p8_224,3335.03,152.754,512,224,6.34
mobilenetv3_large_075,3296.24,154.517,512,224,3.99
ese_vovnet19b_slim_dw,3204.84,159.295,512,224,1.9
tf_mobilenetv3_large_minimal_100,3175.97,160.546,512,224,3.92
seresnet18,3165.67,161.261,512,224,11.78
legacy_seresnet18,3081.19,165.707,512,224,11.78
mnasnet_075,3078.06,165.602,512,224,3.17
tf_mobilenetv3_large_075,3052.6,166.905,512,224,3.99
ghostnet_050,2997.88,169.549,512,224,2.59
mobilenetv3_rw,2978.91,171.068,512,224,5.48
mobilenetv3_large_100_miil,2954.41,172.485,512,224,5.48
mobilenetv3_large_100,2949.17,172.802,512,224,5.48
levit_256,2853.53,178.318,512,224,18.89
hardcorenas_a,2833.05,180.061,512,224,5.26
mnasnet_100,2794.45,182.489,512,224,4.38
mnasnet_b1,2793.42,182.553,512,224,4.38
resnet18d,2767.22,184.677,512,224,11.71
tf_mobilenetv3_large_100,2745.99,185.646,512,224,5.48
tinynet_b,2724.35,186.966,512,188,3.73
hardcorenas_b,2641.84,192.939,512,224,5.18
semnasnet_075,2627.64,193.989,512,224,2.91
hardcorenas_c,2601.15,195.937,512,224,5.52
ese_vovnet19b_slim,2546.07,200.754,512,224,3.17
mobilenetv2_075,2520.15,202.421,512,224,2.64
spnasnet_100,2483.13,205.29,512,224,4.42
tf_efficientnetv2_b0,2462.53,206.791,512,224,7.14
hardcorenas_d,2435.65,209.09,512,224,7.5
mnasnet_a1,2380.33,214.252,512,224,3.89
semnasnet_100,2377.81,214.477,512,224,3.89
mobilenetv2_100,2363.97,215.837,512,224,3.5
regnetx_002,2307.34,221.263,512,224,2.68
tinynet_a,2237.07,227.684,512,192,6.19
fbnetc_100,2225.25,229.187,512,224,5.57
ghostnet_100,2211.89,230.191,512,224,5.18
regnety_002,2204.25,231.393,512,224,3.16
efficientnet_lite0,2189.09,233.188,512,224,4.65
hardcorenas_f,2163.36,235.624,512,224,8.2
hardcorenas_e,2139.96,238.217,512,224,8.07
tf_efficientnet_lite0,2037.27,250.609,512,224,4.65
resnet34,2037.12,250.805,512,224,21.8
tv_resnet34,2035.85,250.969,512,224,21.8
gluon_resnet34_v1b,2035.71,250.984,512,224,21.8
skresnet18,2026.36,252.064,512,224,11.96
resnet26,1936.86,263.917,512,224,16.0
resnetblur18,1923.61,265.837,512,224,11.69
gernet_m,1870.52,273.071,512,224,21.14
ese_vovnet19b_dw,1864.29,274.174,512,224,6.54
nf_resnet26,1859.82,274.839,512,224,16.0
mnasnet_140,1826.42,279.575,512,224,7.12
hrnet_w18_small,1825.55,279.196,512,224,13.19
seresnet34,1821.14,280.321,512,224,21.96
legacy_seresnet34,1770.27,288.393,512,224,21.96
efficientnet_b0,1763.31,216.796,384,224,5.29
resnet34d,1762.59,289.926,512,224,21.82
mobilenetv2_110d,1752.61,218.148,384,224,4.52
levit_384,1748.52,291.817,512,224,39.13
rexnetr_100,1739.4,219.681,384,224,4.88
selecsls42,1711.06,298.631,512,224,30.35
selecsls42b,1703.95,299.892,512,224,32.46
vit_tiny_patch16_224,1668.2,306.156,512,224,5.72
deit_tiny_patch16_224,1666.4,306.494,512,224,5.72
tf_efficientnet_b0_ap,1660.27,230.299,384,224,5.29
tf_efficientnet_b0_ns,1659.78,230.359,384,224,5.29
tf_efficientnet_b0,1659.12,230.455,384,224,5.29
deit_tiny_distilled_patch16_224,1644.53,310.585,512,224,5.91
semnasnet_140,1620.0,315.219,512,224,6.11
efficientnet_es_pruned,1595.68,320.161,512,224,5.44
efficientnet_es,1595.53,320.205,512,224,5.44
mixer_b32_224,1593.71,320.545,512,224,60.29
tf_efficientnet_es,1592.03,320.904,512,224,5.44
resnet26d,1580.82,323.426,512,224,16.01
tf_efficientnetv2_b1,1573.77,242.663,384,240,8.14
ghostnet_130,1567.24,325.459,512,224,7.36
repvgg_b0,1556.65,327.916,512,224,15.82
pit_ti_distilled_224,1537.82,332.146,512,224,5.1
pit_ti_224,1535.4,332.663,512,224,4.85
mobilenetv2_140,1525.48,250.968,384,224,6.11
resmlp_12_224,1516.23,336.972,512,224,15.35
resmlp_12_distilled_224,1515.94,336.996,512,224,15.35
vit_base_patch32_224,1491.42,342.538,512,224,88.22
vit_base_patch32_224_sam,1490.35,342.802,512,224,88.22
selecsls60,1450.31,352.185,512,224,30.67
selecsls60b,1447.33,352.935,512,224,32.77
nf_seresnet26,1446.95,353.243,512,224,17.4
xcit_nano_12_p16_224,1428.16,356.892,512,224,3.05
xcit_nano_12_p16_224_dist,1427.07,357.115,512,224,3.05
efficientnet_lite1,1402.56,181.634,256,240,5.42
mixer_s16_224,1387.35,368.544,512,224,18.53
efficientnet_b1_pruned,1356.21,376.138,512,240,6.33
dla46_c,1347.45,379.298,512,224,1.3
rexnetr_130,1335.58,190.622,256,224,7.61
nf_ecaresnet26,1333.44,383.458,512,224,16.0
tf_efficientnet_lite1,1330.92,191.449,256,240,5.42
mobilenetv2_120d,1299.02,195.983,256,224,5.83
resnetv2_50,1277.54,400.053,512,224,25.55
rexnet_100,1259.4,303.853,384,224,4.8
gernet_l,1250.61,408.582,512,256,31.08
pit_xs_224,1243.31,411.016,512,224,10.62
pit_xs_distilled_224,1243.18,411.013,512,224,11.0
gmixer_12_224,1232.53,414.68,512,224,12.7
resnet26t,1208.16,423.321,512,256,16.01
vit_small_patch32_384,1207.26,423.36,512,384,22.92
tv_resnet50,1193.37,321.016,384,224,25.56
ssl_resnet50,1193.18,321.076,384,224,25.56
gluon_resnet50_v1b,1192.95,321.138,384,224,25.56
resnet50,1192.59,321.245,384,224,25.56
swsl_resnet50,1191.64,321.479,384,224,25.56
rexnetr_150,1171.61,217.431,256,224,9.78
fbnetv3_b,1163.46,328.537,384,256,8.6
regnetx_004,1151.84,443.491,512,224,5.16
botnet26t_256,1146.74,334.32,384,256,12.49
skresnet34,1146.67,445.45,512,224,22.28
tf_efficientnetv2_b2,1137.18,223.699,256,260,10.1
fbnetv3_d,1123.37,226.192,256,256,10.31
resnetv2_50t,1114.22,458.774,512,224,25.57
gluon_resnet50_v1c,1114.01,343.942,384,224,25.58
repvgg_a2,1113.97,458.853,512,224,28.21
resnetv2_50d,1111.46,459.91,512,224,25.57
halonet26t,1094.74,350.238,384,256,12.48
efficientnet_lite2,1085.96,234.846,256,260,6.09
dla34,1074.06,476.134,512,224,15.74
mixnet_s,1060.15,481.782,512,224,4.13
resnet50d,1054.46,363.395,384,224,25.58
gluon_resnet50_v1d,1053.62,363.691,384,224,25.58
resnet50t,1052.26,364.133,384,224,25.57
vit_tiny_r_s16_p8_384,1046.6,366.108,384,384,6.36
xcit_tiny_12_p16_224_dist,1038.68,491.328,512,224,6.72
xcit_tiny_12_p16_224,1038.06,491.593,512,224,6.72
tf_efficientnet_lite2,1032.64,247.013,256,260,6.09
legacy_seresnext26_32x4d,1027.19,497.849,512,224,16.79
resnet32ts,1007.64,253.517,256,256,17.96
tf_efficientnet_b1_ap,1002.39,253.996,256,240,7.79
tf_efficientnet_b1,1001.08,254.315,256,240,7.79
tf_efficientnet_b1_ns,1000.92,254.412,256,240,7.79
res2net50_48w_2s,999.09,383.596,384,224,25.29
vit_small_resnet26d_224,998.6,383.579,384,224,63.61
resnet33ts,996.53,256.337,256,256,19.68
seresnext26d_32x4d,978.97,391.64,384,224,16.81
vovnet39a,977.19,523.377,512,224,22.6
seresnext26tn_32x4d,976.94,392.442,384,224,16.81
seresnext26t_32x4d,976.02,392.82,384,224,16.81
legacy_seresnet50,965.33,396.753,384,224,28.09
tf_efficientnet_em,961.83,265.228,256,240,6.9
efficientnet_em,961.29,265.407,256,240,6.9
tf_mixnet_s,959.89,532.224,512,224,4.13
dla46x_c,958.36,533.526,512,224,1.07
eca_resnet33ts,943.71,270.653,256,256,19.68
seresnet33ts,943.39,270.622,256,256,19.78
crossvit_tiny_240,940.57,406.823,384,240,7.01
crossvit_9_240,937.22,408.452,384,240,8.55
efficientnet_b1,935.15,272.379,256,256,7.79
seresnet50,934.74,409.786,384,224,28.09
regnety_004,931.71,548.466,512,224,4.34
gluon_resnet50_v1s,928.8,412.664,384,224,25.68
ecaresnetlight,928.23,550.753,512,224,30.16
resnetaa50d,926.64,413.614,384,224,25.58
dla60,926.01,413.77,384,224,22.04
ecaresnext26t_32x4d,925.94,414.209,384,224,15.41
ecaresnext50t_32x4d,924.8,414.714,384,224,15.41
ese_vovnet39b,919.92,555.952,512,224,24.57
convit_tiny,917.45,417.618,384,224,5.71
crossvit_9_dagger_240,912.87,419.313,384,240,8.78
gcresnet33ts,912.73,279.541,256,256,19.88
eca_vovnet39b,910.35,561.796,512,224,22.6
gmlp_ti16_224,908.97,421.011,384,224,5.87
dla60x_c,908.47,562.709,512,224,1.32
cspresnet50,908.32,421.991,384,256,21.62
vgg11,905.72,565.146,512,224,132.86
resnetblur50,901.02,425.435,384,224,25.56
ecaresnet50d_pruned,892.5,572.812,512,224,19.94
rexnetr_200,885.64,215.704,192,224,16.52
lambda_resnet26rpt_256,881.41,217.279,192,256,10.99
vit_small_patch16_224,879.33,435.939,384,224,22.05
deit_small_patch16_224,876.6,437.293,384,224,22.05
nf_seresnet50,866.69,441.953,384,224,28.09
dpn68b,864.02,443.325,384,224,12.61
cspresnext50,863.58,443.862,384,224,20.57
cspresnet50w,858.14,446.674,384,256,28.12
selecsls84,852.15,599.694,512,224,50.95
hrnet_w18_small_v2,849.12,600.799,512,224,15.6
cspresnet50d,847.29,452.406,384,256,21.64
deit_small_distilled_patch16_224,846.66,301.609,256,224,22.44
seresnet50t,844.69,453.54,384,224,28.1
resnetrs50,843.24,454.312,384,224,35.69
densenet121,835.01,304.929,256,224,7.98
tv_densenet121,832.77,305.766,256,224,7.98
rexnet_150,829.93,307.376,256,224,9.73
gluon_resnext50_32x4d,824.86,464.778,384,224,25.03
tv_resnext50_32x4d,824.06,465.237,384,224,25.03
ssl_resnext50_32x4d,823.91,465.298,384,224,25.03
swsl_resnext50_32x4d,823.16,465.728,384,224,25.03
resnext50_32x4d,823.01,465.815,384,224,25.03
dpn68,816.18,469.476,384,224,12.61
res2net50_26w_4s,812.07,314.023,256,224,25.7
efficientnet_b2_pruned,811.6,314.06,256,260,8.31
resnetblur50d,810.86,314.915,256,224,25.58
pit_s_224,809.09,315.601,256,224,23.46
pit_s_distilled_224,808.91,315.694,256,224,24.04
vovnet57a,808.86,473.9,384,224,36.64
skresnet50,802.36,317.782,256,224,25.8
densenet121d,795.36,320.183,256,224,8.0
vit_base_resnet26d_224,792.88,483.157,384,224,101.4
rexnet_130,792.23,322.087,256,224,7.56
tf_efficientnet_b2_ns,791.33,241.259,192,260,9.11
tf_efficientnet_b2_ap,790.24,241.588,192,260,9.11
regnetx_006,788.72,648.389,512,224,6.2
tf_efficientnet_b2,788.26,242.2,192,260,9.11
vgg11_bn,788.01,487.085,384,224,132.87
nf_ecaresnet50,787.45,486.772,384,224,25.56
regnety_006,779.2,656.099,512,224,6.06
gcresnet50t,776.26,328.367,256,256,25.9
ese_vovnet57b,765.66,500.673,384,224,38.61
ecaresnet50d,761.68,335.218,256,224,25.58
resnext50d_32x4d,757.82,337.002,256,224,25.05
adv_inception_v3,756.25,506.326,384,299,23.83
tf_inception_v3,754.65,507.545,384,299,23.83
gluon_inception_v3,754.57,507.572,384,299,23.83
inception_v3,753.64,508.224,384,299,23.83
seresnetaa50d,751.96,339.385,256,224,28.11
res2net50_14w_8s,748.86,339.851,256,224,25.06
resmlp_24_distilled_224,743.59,342.912,256,224,30.02
resmlp_24_224,743.53,342.937,256,224,30.02
resnetv2_101,742.52,343.363,256,224,44.54
skresnet50d,738.05,345.557,256,224,25.82
sehalonet33ts,731.23,349.345,256,256,13.69
dla60_res2net,730.56,349.091,256,224,20.85
densenetblur121d,729.66,349.185,256,224,8.0
resnet101,719.46,354.412,256,224,44.55
tv_resnet101,719.29,354.488,256,224,44.55
gluon_resnet101_v1b,719.28,354.459,256,224,44.55
efficientnet_b2a,707.95,269.81,192,288,9.11
efficientnet_b2,707.16,270.111,192,288,9.11
nf_resnet50,703.13,545.338,384,288,25.56
nf_resnet101,702.76,544.906,384,224,44.55
ecaresnet101d_pruned,698.97,730.858,512,224,24.88
densenet169,691.74,367.774,256,224,14.15
gluon_resnet101_v1c,690.21,369.47,256,224,44.57
gluon_seresnext50_32x4d,689.84,370.073,256,224,27.56
legacy_seresnext50_32x4d,688.18,370.947,256,224,27.56
seresnext50_32x4d,688.18,370.943,256,224,27.56
resnetv2_101d,686.94,371.274,256,224,44.56
darknet53,683.71,373.676,256,256,41.61
dla60x,680.87,375.081,256,224,17.35
nf_regnet_b0,680.47,751.331,512,256,8.76
efficientnetv2_rw_t,669.58,284.789,192,288,13.65
gluon_resnet101_v1d,666.43,382.723,256,224,44.57
regnety_008,657.21,778.104,512,224,6.26
rexnet_200,656.53,291.353,192,224,16.37
tf_efficientnetv2_b3,655.17,291.405,192,300,14.36
vit_small_r26_s32_224,652.39,391.27,256,224,36.43
sebotnet33ts_256,650.1,196.14,128,256,13.7
wide_resnet50_2,646.12,593.536,384,224,68.88
vgg13,645.37,594.836,384,224,133.05
dla102,640.56,398.166,256,224,33.27
vit_base_resnet50d_224,619.99,411.439,256,224,110.97
gluon_resnet101_v1s,614.53,415.124,256,224,44.67
resnext26ts,613.38,625.548,384,256,10.3
resnetaa101d,612.93,416.224,256,224,44.57
ecaresnet26t,610.98,418.477,256,320,16.01
gmixer_24_224,610.59,417.896,256,224,24.72
repvgg_b1,609.77,838.686,512,224,57.42
eca_botnext26ts_256,609.21,419.672,256,256,10.59
eca_halonext26ts,598.72,427.016,256,256,10.76
gc_efficientnetv2_rw_t,597.14,319.011,192,288,13.68
eca_resnext26ts,593.02,431.168,256,256,10.3
seresnext26ts,592.35,431.553,256,256,10.39
regnetx_008,587.44,870.811,512,224,7.26
convnext_tiny,584.52,437.049,256,224,28.59
coat_lite_tiny,583.0,657.845,384,224,5.72
convnext_tiny_hnf,582.18,438.813,256,224,28.59
gcresnext26ts,581.42,439.532,256,256,10.48
mixnet_m,576.71,664.443,384,224,5.01
resnetv2_50x1_bit_distilled,575.65,332.777,192,224,25.55
cspdarknet53,570.42,447.825,256,256,27.64
legacy_seresnet101,570.04,447.058,256,224,49.33
halonet50ts,568.71,336.701,192,256,22.73
res2net50_26w_6s,565.22,451.306,256,224,37.05
resnetblur101d,562.81,453.413,256,224,44.57
seresnet101,560.51,454.74,256,224,49.33
coat_lite_mini,559.21,685.884,384,224,11.01
xcit_small_12_p16_224,558.21,456.962,256,224,26.25
xcit_small_12_p16_224_dist,557.95,457.219,256,224,26.25
vgg13_bn,555.55,460.55,256,224,133.05
tf_efficientnet_lite3,555.29,229.476,128,300,8.2
efficientnet_lite3,554.26,229.924,128,300,8.2
tf_mixnet_m,541.25,708.06,384,224,5.01
ssl_resnext101_32x4d,539.66,472.944,256,224,44.18
gluon_resnext101_32x4d,539.41,473.189,256,224,44.18
xcit_tiny_24_p16_224_dist,538.89,472.126,256,224,12.12
resnext101_32x4d,538.71,473.739,256,224,44.18
xcit_tiny_24_p16_224,538.48,472.477,256,224,12.12
swsl_resnext101_32x4d,538.39,474.037,256,224,44.18
densenet201,535.33,355.953,192,224,20.01
bat_resnext26ts,534.3,478.021,256,256,10.73
twins_svt_small,529.33,482.243,256,224,24.06
mixer_b16_224,521.89,489.791,256,224,59.88
mixer_b16_224_miil,521.33,490.33,256,224,59.88
vgg16,519.79,738.569,384,224,138.36
nf_seresnet101,519.55,490.612,256,224,49.33
gmlp_s16_224,514.57,371.708,192,224,19.42
crossvit_small_240,514.25,371.914,192,240,26.86
resnetv2_152,514.07,495.927,256,224,60.19
res2net101_26w_4s,512.94,372.022,192,224,45.21
resnetv2_50d_gn,512.21,374.104,192,224,25.57
botnet50ts_256,511.02,249.57,128,256,22.74
vit_base_r26_s32_224,509.73,375.506,192,224,101.38
efficientnet_b3_pruned,508.52,501.852,256,300,9.86
nf_regnet_b3,507.41,502.895,256,320,18.59
res2next50,500.31,510.5,256,224,24.67
xcit_nano_12_p16_384_dist,497.26,513.197,256,384,3.05
dla102x,495.72,385.887,192,224,26.31
resnet50_gn,494.95,387.141,192,224,25.56
mixnet_l,494.74,516.045,256,224,7.33
resnet152,490.44,389.409,192,224,60.19
gluon_resnet152_v1b,490.37,389.44,192,224,60.19
tv_resnet152,490.23,389.552,192,224,60.19
resmlp_36_224,489.84,389.965,192,224,44.69
resmlp_36_distilled_224,489.66,390.129,192,224,44.69
cait_xxs24_224,487.15,523.231,256,224,11.96
mixer_l32_224,486.19,393.553,192,224,206.94
halo2botnet50ts_256,485.95,262.504,128,256,22.64
xception,485.66,262.809,128,299,22.86
visformer_tiny,484.78,1055.527,512,224,10.32
vit_large_patch32_224,484.04,527.472,256,224,306.54
vit_base_patch32_384,478.93,533.779,256,384,88.3
gluon_resnet152_v1c,476.8,400.507,192,224,60.21
resnetv2_152d,475.38,401.77,192,224,60.2
crossvit_15_240,472.73,404.523,192,240,27.53
res2net50_26w_8s,468.77,407.558,192,224,48.4
tf_mixnet_l,466.85,546.936,256,224,7.33
gluon_resnet152_v1d,465.06,410.759,192,224,60.21
ecaresnet101d,462.22,552.191,256,224,44.57
crossvit_15_dagger_240,459.76,415.927,192,240,28.21
vgg16_bn,457.66,559.065,256,224,138.37
nf_ecaresnet101,455.3,560.589,256,224,44.55
efficientnet_el,446.2,285.844,128,300,10.59
efficientnet_el_pruned,445.59,286.28,128,300,10.59
swin_tiny_patch4_window7_224,445.53,573.708,256,224,28.29
fbnetv3_g,442.28,287.506,128,288,16.62
gluon_resnet152_v1s,441.14,433.129,192,224,60.32
gluon_seresnext101_32x4d,437.16,437.191,192,224,48.96
tf_efficientnet_el,436.28,292.36,128,300,10.59
vgg19,436.15,880.196,384,224,143.67
seresnext101_32x4d,435.91,438.42,192,224,48.96
legacy_seresnext101_32x4d,435.08,439.246,192,224,48.96
ese_vovnet99b,434.62,587.614,256,224,63.2
skresnext50_32x4d,434.44,587.996,256,224,27.48
twins_pcpvt_small,433.1,589.648,256,224,24.11
dla60_res2next,431.53,591.928,256,224,17.03
dla169,427.18,447.18,192,224,53.39
hrnet_w32,426.75,445.609,192,224,41.23
hrnet_w18,413.83,614.275,256,224,21.3
convit_small,409.81,467.592,192,224,27.78
vit_tiny_patch16_384,409.3,311.972,128,384,5.79
vit_small_resnet50d_s16_224,407.06,470.553,192,224,57.53
vgg19_bn,388.74,658.182,256,224,143.68
ecaresnet50t,388.23,328.837,128,320,25.57
inception_v4,387.4,493.551,192,299,42.68
tf_efficientnet_b3_ap,384.58,331.269,128,300,12.23
tf_efficientnet_b3_ns,384.22,331.517,128,300,12.23
tf_efficientnet_b3,384.13,331.655,128,300,12.23
legacy_seresnet152,382.75,498.635,192,224,66.82
xcit_nano_12_p8_224,378.83,674.154,256,224,3.05
xcit_nano_12_p8_224_dist,378.65,674.433,256,224,3.05
convnext_small,375.68,509.406,192,224,50.22
regnetx_016,374.21,1367.378,512,224,9.19
haloregnetz_b,372.27,686.285,256,224,11.68
densenet161,371.62,342.252,128,224,28.68
repvgg_b2,368.23,1389.47,512,224,89.02
seresnet152,362.95,349.646,128,224,66.82
nest_tiny,356.9,357.853,128,224,17.06
dla102x2,355.19,358.924,128,224,41.28
vit_base_patch16_224_miil,354.79,360.089,128,224,86.54
jx_nest_tiny,353.97,360.795,128,224,17.06
gluon_resnext101_64x4d,352.72,361.493,128,224,83.46
resnext101_64x4d,352.52,361.632,128,224,83.46
wide_resnet101_2,350.85,545.834,192,224,126.89
regnety_016,350.64,1458.484,512,224,11.2
vit_base_patch16_224,349.4,365.598,128,224,86.57
deit_base_patch16_224,349.3,365.691,128,224,86.57
vit_base_patch16_224_sam,349.14,365.832,128,224,86.57
resnet200,348.81,364.208,128,224,64.67
resnest14d,348.25,1469.78,512,224,10.61
efficientnet_b3a,345.42,368.96,128,320,12.23
efficientnet_b3,345.06,369.413,128,320,12.23
deit_base_distilled_patch16_224,344.74,370.536,128,224,87.34
crossvit_18_240,343.92,370.408,128,240,43.27
hrnet_w30,341.47,745.312,256,224,37.71
crossvit_18_dagger_240,335.19,380.045,128,240,44.27
ens_adv_inception_resnet_v2,334.4,571.029,192,299,55.84
inception_resnet_v2,334.03,571.741,192,299,55.84
efficientnet_lite4,332.63,191.154,64,380,13.01
nf_regnet_b1,327.56,1561.741,512,288,10.22
coat_lite_small,324.96,589.506,192,224,19.84
dpn92,324.94,786.493,256,224,37.67
resnet101d,323.43,394.33,128,320,44.57
mixnet_xl,322.47,593.686,192,224,11.9
beit_base_patch16_224,320.26,398.682,128,224,86.53
tf_efficientnet_lite4,319.09,199.328,64,380,13.01
gcresnext50ts,314.79,608.558,192,256,15.67
resnetrs101,314.59,404.798,128,288,63.62
twins_pcpvt_base,313.15,610.712,192,224,43.83
cait_xxs36_224,311.89,407.079,128,224,17.3
gluon_seresnext101_64x4d,306.13,416.102,128,224,88.23
twins_svt_base,305.99,416.477,128,224,56.07
repvgg_b3,305.95,1254.102,384,224,123.09
regnetz_d8,301.65,210.668,64,320,23.37
xception41,300.49,424.83,128,299,26.97
efficientnetv2_s,292.99,325.601,96,384,21.46
ese_vovnet39b_evos,292.82,436.279,128,224,24.58
efficientnetv2_rw_s,289.9,218.715,64,384,23.94
tf_efficientnetv2_s,289.31,329.828,96,384,21.46
swin_small_patch4_window7_224,289.15,441.029,128,224,49.61
tf_efficientnetv2_s_in21ft1k,288.88,330.272,96,384,21.46
xcit_small_24_p16_224_dist,286.23,444.237,128,224,47.67
xcit_small_24_p16_224,286.12,444.416,128,224,47.67
hrnet_w40,285.91,667.227,192,224,57.56
pit_b_224,285.13,335.829,96,224,73.76
pit_b_distilled_224,284.45,336.631,96,224,74.79
nf_regnet_b2,282.04,1813.867,512,272,14.31
gluon_xception65,276.41,345.52,96,299,39.92
dpn98,275.63,462.928,128,224,61.57
xception65,275.32,346.928,96,299,39.92
resnet51q,274.2,699.442,192,288,35.7
convnext_base_in22ft1k,273.43,466.529,128,224,88.59
convnext_base,272.92,467.434,128,224,88.59
nf_regnet_b4,271.03,470.306,128,384,30.21
xcit_tiny_12_p8_224,270.45,471.679,128,224,6.71
xcit_tiny_12_p8_224_dist,270.45,471.621,128,224,6.71
cait_s24_224,268.53,474.373,128,224,46.92
hrnet_w48,262.05,484.085,128,224,77.47
resnest26d,254.99,1505.218,384,224,17.07
resnest50d_1s4x24d,252.9,1011.055,256,224,25.68
resnetv2_50d_evob,247.25,775.496,192,224,25.59
regnetz_c16,246.47,517.947,128,320,13.46
gmlp_b16_224,243.4,392.966,96,224,73.08
hrnet_w44,236.76,806.557,192,224,67.06
twins_svt_large,235.13,542.578,128,224,99.27
efficientnet_b4,234.85,270.618,64,384,19.34
nest_small,234.57,407.797,96,224,38.35
resnetv2_50d_evos,233.18,410.671,96,224,25.59
jx_nest_small,233.1,410.378,96,224,38.35
tf_efficientnet_b4_ap,230.34,275.916,64,380,19.34
tresnet_m,230.07,2222.819,512,224,31.39
tf_efficientnet_b4,229.98,276.378,64,380,19.34
tf_efficientnet_b4_ns,229.78,276.586,64,380,19.34
visformer_small,229.49,1672.652,384,224,40.22
crossvit_base_240,228.79,418.11,96,240,105.03
nfnet_l0,228.47,1119.415,256,288,35.07
coat_tiny,228.08,559.427,128,224,5.5
twins_pcpvt_large,223.01,570.431,128,224,60.99
eca_nfnet_l0,221.69,1153.795,256,288,24.14
vit_large_r50_s32_224,220.98,432.297,96,224,328.99
swin_base_patch4_window7_224,220.89,577.812,128,224,87.77
densenet264,217.72,437.317,96,224,72.69
hrnet_w64,216.27,587.374,128,224,128.06
convit_base,213.62,448.479,96,224,86.54
xception71,212.24,299.632,64,299,42.34
vit_small_r26_s32_384,211.98,300.724,64,384,36.47
resnet152d,211.82,451.04,96,320,60.21
vit_small_patch16_384,209.76,304.352,64,384,22.2
xcit_medium_24_p16_224,207.55,459.61,96,224,84.4
xcit_medium_24_p16_224_dist,207.03,460.529,96,224,84.4
resnet61q,206.68,618.373,128,288,36.85
dpn131,205.78,620.133,128,224,79.25
mixnet_xxl,204.23,624.949,128,224,23.96
vit_base_r50_s16_224,195.65,325.59,64,224,98.66
coat_mini,193.15,660.874,128,224,10.34
regnety_040,193.14,1986.785,384,224,20.65
xcit_small_12_p16_384_dist,191.88,498.659,96,384,26.25
xcit_tiny_24_p16_384_dist,186.09,512.939,96,384,12.12
seresnet200d,185.21,514.398,96,256,71.86
regnetz_b16,179.85,1066.235,192,288,9.72
repvgg_b1g4,177.2,2888.374,512,224,39.97
ecaresnet200d,176.34,541.265,96,256,64.69
nest_base,176.15,361.868,64,224,67.72
convmixer_768_32,176.07,543.988,96,224,21.11
resnest50d,175.35,1458.742,256,224,27.48
regnety_032,175.25,1459.459,256,288,19.44
jx_nest_base,174.95,364.333,64,224,67.72
regnetx_032,174.19,2203.311,384,224,15.3
senet154,172.45,553.616,96,224,115.09
gluon_senet154,172.38,553.858,96,224,115.09
legacy_senet154,171.96,555.183,96,224,115.09
seresnet152d,169.43,374.655,64,320,66.84
resnetrs152,167.98,377.927,64,320,86.62
dpn107,167.97,570.011,96,224,86.92
halonet_h1,167.27,381.366,64,256,8.1
resnest50d_4s2x40d,163.46,1564.906,256,224,30.42
resnet200d,163.41,388.892,64,320,64.69
mixer_l16_224,161.74,592.23,96,224,208.2
convnext_large_in22ft1k,160.8,595.418,96,224,197.77
convnext_large,160.72,595.739,96,224,197.77
regnetx_040,160.66,2389.077,384,224,22.12
tnt_s_patch16_224,157.73,809.855,128,224,23.76
regnetx_080,148.64,1721.236,256,224,39.57
efficientnetv2_m,147.13,323.331,48,416,54.14
resnext101_32x8d,145.87,876.049,128,224,88.79
ssl_resnext101_32x8d,145.3,879.52,128,224,88.79
vit_large_patch32_384,145.15,439.536,64,384,306.63
xcit_small_12_p8_224_dist,145.04,439.625,64,224,26.21
xcit_small_12_p8_224,144.99,439.796,64,224,26.21
ig_resnext101_32x8d,144.47,884.578,128,224,88.79
swsl_resnext101_32x8d,144.29,885.69,128,224,88.79
regnetz_e8,140.91,338.814,48,320,57.7
xcit_tiny_24_p8_224,139.28,686.242,96,224,12.11
xcit_tiny_24_p8_224_dist,139.16,686.889,96,224,12.11
resnetv2_50x1_bitm,137.88,347.358,48,448,25.55
seresnext101_32x8d,136.74,934.059,128,224,93.57
seresnet269d,134.18,471.701,64,256,113.67
swin_large_patch4_window7_224,132.61,480.998,64,224,196.53
xcit_nano_12_p8_384_dist,128.43,496.705,64,384,3.05
tnt_b_patch16_224,126.43,757.626,96,224,65.41
xcit_large_24_p16_224,124.67,510.437,64,224,189.1
xcit_large_24_p16_224_dist,124.62,510.639,64,224,189.1
efficientnetv2_rw_m,123.91,255.105,32,416,53.24
regnetx_064,123.53,2071.55,256,224,26.21
regnety_064,121.34,2108.152,256,224,30.58
resnetrs200,119.86,396.447,48,320,93.21
nfnet_f0,119.25,2145.698,256,256,71.49
nfnet_f0s,118.17,2165.276,256,256,71.49
ese_vovnet99b_iabn,116.31,3298.583,384,224,63.2
regnety_080,108.46,2359.307,256,224,39.18
tf_efficientnetv2_m_in21ft1k,107.43,294.9,32,480,54.14
vit_large_patch16_224,106.81,447.947,48,224,304.33
tf_efficientnetv2_m,106.77,296.673,32,480,54.14
convnext_xlarge_in22ft1k,104.57,610.376,64,224,350.2
crossvit_15_dagger_408,103.52,307.452,32,408,28.5
tresnet_l,102.9,4972.484,512,224,55.99
repvgg_b2g4,101.39,5048.708,512,224,61.76
eca_nfnet_l1,99.64,1282.96,128,320,41.41
xcit_small_24_p16_384_dist,98.62,483.709,48,384,47.67
beit_large_patch16_224,98.03,487.815,48,224,304.43
cspdarknet53_iabn,97.55,3934.064,384,256,27.64
efficientnet_b5,94.83,335.072,32,456,30.39
convnext_base_384_in22ft1k,93.76,510.323,48,384,88.59
tf_efficientnet_b5_ap,93.42,340.255,32,456,30.39
tf_efficientnet_b5_ns,93.39,340.338,32,456,30.39
tf_efficientnet_b5,93.26,340.852,32,456,30.39
xcit_tiny_12_p8_384_dist,92.1,519.585,48,384,6.71
tresnet_xl,89.9,4267.972,384,224,78.44
vit_base_patch16_384,89.9,355.185,32,384,86.86
deit_base_patch16_384,89.87,355.331,32,384,86.86
cspresnext50_iabn,89.4,4293.09,384,256,20.57
resnest101e,88.34,1446.581,128,256,48.28
deit_base_distilled_patch16_384,88.07,362.54,32,384,87.63
cait_xxs24_384,87.17,364.76,32,384,12.03
nf_regnet_b5,85.26,748.171,64,456,49.74
resnetv2_101x1_bitm,84.86,375.607,32,448,44.54
resnetv2_152x2_bit_teacher,84.71,375.537,32,224,236.34
repvgg_b3g4,83.61,4591.876,384,224,83.83
crossvit_18_dagger_408,77.92,306.154,24,408,44.61
regnetx_120,77.0,3323.571,256,224,46.11
beit_base_patch16_384,76.44,313.03,24,384,86.74
ecaresnet269d,75.74,418.332,32,352,102.09
regnety_120,75.43,2544.024,192,224,51.82
pnasnet5large,75.01,423.127,32,331,86.06
vit_large_r50_s32_384,73.58,432.769,32,384,329.09
xcit_small_24_p8_224_dist,73.31,433.498,32,224,47.63
xcit_small_24_p8_224,73.25,433.859,32,224,47.63
resnetrs270,73.04,432.615,32,352,129.86
regnetz_d32,71.19,897.484,64,320,27.58
dm_nfnet_f0,71.06,3601.578,256,256,71.49
xcit_medium_24_p16_384_dist,70.95,448.036,32,384,84.4
regnetz_d8_evob,68.84,695.406,48,320,23.41
regnety_320,66.69,1917.907,128,224,145.05
nasnetalarge,65.99,480.339,32,331,88.75
resmlp_big_24_distilled_224,65.96,483.761,32,224,129.14
resmlp_big_24_224,65.94,483.953,32,224,129.14
resmlp_big_24_224_in22ft1k,65.9,484.194,32,224,129.14
regnetx_160,65.04,2951.208,192,224,54.28
regnetz_d8_evos,62.47,510.384,32,320,23.46
cait_xs24_384,60.56,393.982,24,384,26.67
swin_base_patch4_window12_384,60.23,396.845,24,384,87.9
efficientnetv2_l,60.16,261.949,16,480,118.52
convmixer_1024_20_ks9_p14,59.76,4282.918,256,224,24.38
tf_efficientnetv2_l,59.73,263.768,16,480,118.52
tf_efficientnetv2_l_in21ft1k,59.31,265.732,16,480,118.52
vit_base_patch8_224,57.86,275.754,16,224,86.58
cait_xxs36_384,56.92,418.29,24,384,17.37
convnext_large_384_in22ft1k,54.87,581.624,32,384,197.77
xcit_medium_24_p8_224,54.52,584.052,32,224,84.32
xcit_medium_24_p8_224_dist,54.51,583.988,32,224,84.32
vit_base_resnet50_384,54.07,294.48,16,384,98.95
vit_base_r50_s16_384,54.05,294.543,16,384,98.95
tresnet_m_448,52.97,3622.14,192,448,31.39
xcit_small_12_p8_384_dist,49.7,481.259,24,384,26.21
regnety_160,48.21,1990.283,96,288,83.59
xcit_tiny_24_p8_384_dist,47.11,676.387,32,384,12.11
ssl_resnext101_32x16d,46.89,2045.721,96,224,194.03
swsl_resnext101_32x16d,46.82,2049.006,96,224,194.03
ig_resnext101_32x16d,46.52,2062.16,96,224,194.03
resnetrs350,46.21,512.496,24,384,163.96
regnetx_320,45.87,2789.512,128,224,107.81
cait_s24_384,45.29,350.995,16,384,47.06
eca_nfnet_l2,44.43,1438.009,64,384,56.72
xcit_large_24_p16_384_dist,43.19,552.749,24,384,189.1
efficientnet_b6,42.65,372.523,16,528,43.04
tf_efficientnet_b6,41.27,384.949,16,528,43.04
tf_efficientnet_b6_ap,41.07,386.945,16,528,43.04
tf_efficientnet_b6_ns,41.05,387.133,16,528,43.04
nfnet_f1,39.56,2424.624,96,320,132.63
nfnet_f1s,39.31,2439.907,96,320,132.63
vit_huge_patch14_224,38.12,417.919,16,224,632.05
dm_nfnet_f1,37.77,1692.371,64,320,132.63
swin_large_patch4_window12_384,36.73,433.938,16,384,196.74
efficientnet_b7,35.91,219.519,8,600,66.35
efficientnetv2_xl,35.88,329.245,12,512,208.12
tf_efficientnetv2_xl_in21ft1k,35.79,329.897,12,512,208.12
tf_efficientnet_b7,35.55,221.854,8,600,66.35
tf_efficientnet_b7_ns,35.4,222.801,8,600,66.35
tf_efficientnet_b7_ap,35.26,223.637,8,600,66.35
convnext_xlarge_384_in22ft1k,34.11,467.466,16,384,350.2
resnetrs420,31.93,492.311,16,416,191.89
xcit_large_24_p8_224_dist,31.85,499.415,16,224,188.93
xcit_large_24_p8_224,31.84,499.581,16,224,188.93
resnest200e,31.57,1515.738,48,320,70.2
densenet264d_iabn,31.46,4064.91,128,224,72.74
resnetv2_50x3_bitm,30.97,515.904,16,448,217.32
cait_s36_384,29.83,399.013,12,384,68.37
resnetv2_152x2_bit_teacher_384,29.16,409.309,12,384,236.34
vit_large_patch16_384,26.62,299.125,8,384,304.72
tresnet_l_448,25.11,5094.194,128,448,55.99
xcit_small_24_p8_384_dist,25.02,476.66,12,384,47.63
eca_nfnet_l3,23.96,1332.494,32,448,72.04
efficientnet_cc_b0_4e,23.7,40.469,1,224,13.31
efficientnet_cc_b0_8e,22.94,41.864,1,224,24.01
tresnet_xl_448,22.71,4223.097,96,448,78.44
beit_large_patch16_384,22.62,351.795,8,384,305.0
tf_efficientnet_cc_b0_8e,22.37,43.033,1,224,24.01
nfnet_f2,21.97,2181.861,48,352,193.78
nfnet_f2s,21.86,2193.026,48,352,193.78
vit_giant_patch14_224,21.57,368.599,8,224,1012.61
dm_nfnet_f2,21.42,1490.949,32,352,193.78
tf_efficientnet_cc_b0_4e,21.27,45.221,1,224,13.31
resnetv2_152x2_bitm,21.19,375.422,8,448,236.34
efficientnet_cc_b1_8e,18.42,52.102,1,240,39.72
xcit_medium_24_p8_384_dist,17.99,441.849,8,384,84.32
ig_resnext101_32x32d,17.78,1798.209,32,224,468.53
tf_efficientnet_cc_b1_8e,17.44,55.209,1,240,39.72
resnetv2_101x3_bitm,17.08,466.831,8,448,387.93
resnest269e,12.91,1852.797,24,416,110.93
nfnet_f3,11.98,1999.215,24,416,254.92
nfnet_f3s,11.88,2016.77,24,416,254.92
dm_nfnet_f3,11.64,2058.707,24,416,254.92
cait_m36_384,11.45,520.837,6,384,271.22
efficientnet_b8,11.27,528.827,6,672,87.41
tf_efficientnet_b8_ap,11.23,530.563,6,672,87.41
tf_efficientnet_b8,11.1,537.074,6,672,87.41
xcit_large_24_p8_384_dist,10.94,545.597,6,384,188.93
convmixer_1536_20,9.34,5136.027,48,224,51.63
tf_efficientnet_l2_ns_475,8.79,336.325,3,475,480.31
ig_resnext101_32x48d,8.38,1908.292,16,224,828.41
beit_large_patch16_512,8.36,357.133,3,512,305.67
nfnet_f4s,6.37,1879.688,12,512,316.07
nfnet_f4,6.34,1889.493,12,512,316.07
dm_nfnet_f4,6.16,1941.969,12,512,316.07
cait_m48_448,4.64,426.785,2,448,356.46
nfnet_f5,4.56,1747.564,8,544,377.21
nfnet_f5s,4.56,1750.367,8,544,377.21
dm_nfnet_f5,4.43,1800.804,8,544,377.21
nfnet_f6,3.47,1722.95,6,576,438.36
nfnet_f6s,3.47,1723.469,6,576,438.36
dm_nfnet_f6,3.34,1791.721,6,576,438.36
resnetv2_152x4_bitm,3.17,313.58,1,480,936.53
nfnet_f7,2.64,1507.256,4,608,499.5
nfnet_f7s,2.63,1515.779,4,608,499.5
efficientnet_l2,2.07,477.813,1,800,480.31
tf_efficientnet_l2_ns,2.03,488.22,1,800,480.31
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 mobilenetv3_small_050 10124.2 49.732 512 224 1.59
3 lcnet_035 9556.39 53.122 512 224 1.64
4 tinynet_e 9259.87 53.163 512 106 2.04
5 lcnet_050 8204.13 61.959 512 224 1.88
6 tf_mobilenetv3_small_minimal_100 8115.25 62.582 512 224 2.04
7 tinynet_d 7842.33 64.591 512 152 2.34
8 mobilenetv3_small_075 7645.76 66.298 512 224 2.04
9 mobilenetv3_small_100 7391.62 68.594 512 224 2.54
10 tf_mobilenetv3_small_075 7004.36 72.432 512 224 2.04
11 tf_mobilenetv3_small_100 6775.26 74.902 512 224 2.54
12 levit_128s 6249.41 81.115 512 224 7.78
13 lcnet_075 5706.1 89.275 512 224 2.36
14 lcnet_100 5288.36 96.356 512 224 2.95
15 mnasnet_small 4565.41 111.287 512 224 2.03
16 mnasnet_050 4479.4 113.569 512 224 2.22
17 levit_128 4339.94 116.946 512 224 9.21
18 mobilenetv2_035 4152.95 122.551 512 224 1.68
19 mixer_s32_224 4131.98 123.414 512 224 19.1
20 tinynet_c 4071.23 124.835 512 184 2.46
21 gernet_s 4039.7 126.102 512 224 8.17
22 semnasnet_050 3974.04 127.989 512 224 2.08
23 levit_192 3756.95 135.269 512 224 10.95
24 vit_small_patch32_224 3671.47 138.697 512 224 22.88
25 lcnet_150 3645.88 139.972 512 224 4.5
26 ssl_resnet18 3513.72 145.398 512 224 11.69
27 gluon_resnet18_v1b 3512.34 145.445 512 224 11.69
28 swsl_resnet18 3508.0 145.642 512 224 11.69
29 mobilenetv2_050 3501.31 145.498 512 224 1.97
30 resnet18 3496.86 146.104 512 224 11.69
31 vit_tiny_r_s16_p8_224 3335.03 152.754 512 224 6.34
32 mobilenetv3_large_075 3296.24 154.517 512 224 3.99
33 ese_vovnet19b_slim_dw 3204.84 159.295 512 224 1.9
34 tf_mobilenetv3_large_minimal_100 3175.97 160.546 512 224 3.92
35 seresnet18 3165.67 161.261 512 224 11.78
36 legacy_seresnet18 3081.19 165.707 512 224 11.78
37 mnasnet_075 3078.06 165.602 512 224 3.17
38 tf_mobilenetv3_large_075 3052.6 166.905 512 224 3.99
39 ghostnet_050 2997.88 169.549 512 224 2.59
40 mobilenetv3_rw 2978.91 171.068 512 224 5.48
41 mobilenetv3_large_100_miil 2954.41 172.485 512 224 5.48
42 mobilenetv3_large_100 2949.17 172.802 512 224 5.48
43 levit_256 2853.53 178.318 512 224 18.89
44 hardcorenas_a 2833.05 180.061 512 224 5.26
45 mnasnet_100 2794.45 182.489 512 224 4.38
46 mnasnet_b1 2793.42 182.553 512 224 4.38
47 resnet18d 2767.22 184.677 512 224 11.71
48 tf_mobilenetv3_large_100 2745.99 185.646 512 224 5.48
49 tinynet_b 2724.35 186.966 512 188 3.73
50 hardcorenas_b 2641.84 192.939 512 224 5.18
51 semnasnet_075 2627.64 193.989 512 224 2.91
52 hardcorenas_c 2601.15 195.937 512 224 5.52
53 ese_vovnet19b_slim 2546.07 200.754 512 224 3.17
54 mobilenetv2_075 2520.15 202.421 512 224 2.64
55 spnasnet_100 2483.13 205.29 512 224 4.42
56 tf_efficientnetv2_b0 2462.53 206.791 512 224 7.14
57 hardcorenas_d 2435.65 209.09 512 224 7.5
58 mnasnet_a1 2380.33 214.252 512 224 3.89
59 semnasnet_100 2377.81 214.477 512 224 3.89
60 mobilenetv2_100 2363.97 215.837 512 224 3.5
61 regnetx_002 2307.34 221.263 512 224 2.68
62 tinynet_a 2237.07 227.684 512 192 6.19
63 fbnetc_100 2225.25 229.187 512 224 5.57
64 ghostnet_100 2211.89 230.191 512 224 5.18
65 regnety_002 2204.25 231.393 512 224 3.16
66 efficientnet_lite0 2189.09 233.188 512 224 4.65
67 hardcorenas_f 2163.36 235.624 512 224 8.2
68 hardcorenas_e 2139.96 238.217 512 224 8.07
69 tf_efficientnet_lite0 2037.27 250.609 512 224 4.65
70 resnet34 2037.12 250.805 512 224 21.8
71 tv_resnet34 2035.85 250.969 512 224 21.8
72 gluon_resnet34_v1b 2035.71 250.984 512 224 21.8
73 skresnet18 2026.36 252.064 512 224 11.96
74 resnet26 1936.86 263.917 512 224 16.0
75 resnetblur18 1923.61 265.837 512 224 11.69
76 gernet_m 1870.52 273.071 512 224 21.14
77 ese_vovnet19b_dw 1864.29 274.174 512 224 6.54
78 nf_resnet26 1859.82 274.839 512 224 16.0
79 mnasnet_140 1826.42 279.575 512 224 7.12
80 hrnet_w18_small 1825.55 279.196 512 224 13.19
81 seresnet34 1821.14 280.321 512 224 21.96
82 legacy_seresnet34 1770.27 288.393 512 224 21.96
83 efficientnet_b0 1763.31 216.796 384 224 5.29
84 resnet34d 1762.59 289.926 512 224 21.82
85 mobilenetv2_110d 1752.61 218.148 384 224 4.52
86 levit_384 1748.52 291.817 512 224 39.13
87 rexnetr_100 1739.4 219.681 384 224 4.88
88 selecsls42 1711.06 298.631 512 224 30.35
89 selecsls42b 1703.95 299.892 512 224 32.46
90 vit_tiny_patch16_224 1668.2 306.156 512 224 5.72
91 deit_tiny_patch16_224 1666.4 306.494 512 224 5.72
92 tf_efficientnet_b0_ap 1660.27 230.299 384 224 5.29
93 tf_efficientnet_b0_ns 1659.78 230.359 384 224 5.29
94 tf_efficientnet_b0 1659.12 230.455 384 224 5.29
95 deit_tiny_distilled_patch16_224 1644.53 310.585 512 224 5.91
96 semnasnet_140 1620.0 315.219 512 224 6.11
97 efficientnet_es_pruned 1595.68 320.161 512 224 5.44
98 efficientnet_es 1595.53 320.205 512 224 5.44
99 mixer_b32_224 1593.71 320.545 512 224 60.29
100 tf_efficientnet_es 1592.03 320.904 512 224 5.44
101 resnet26d 1580.82 323.426 512 224 16.01
102 tf_efficientnetv2_b1 1573.77 242.663 384 240 8.14
103 ghostnet_130 1567.24 325.459 512 224 7.36
104 repvgg_b0 1556.65 327.916 512 224 15.82
105 pit_ti_distilled_224 1537.82 332.146 512 224 5.1
106 pit_ti_224 1535.4 332.663 512 224 4.85
107 mobilenetv2_140 1525.48 250.968 384 224 6.11
108 resmlp_12_224 1516.23 336.972 512 224 15.35
109 resmlp_12_distilled_224 1515.94 336.996 512 224 15.35
110 vit_base_patch32_224 1491.42 342.538 512 224 88.22
111 vit_base_patch32_224_sam 1490.35 342.802 512 224 88.22
112 selecsls60 1450.31 352.185 512 224 30.67
113 selecsls60b 1447.33 352.935 512 224 32.77
114 nf_seresnet26 1446.95 353.243 512 224 17.4
115 xcit_nano_12_p16_224 1428.16 356.892 512 224 3.05
116 xcit_nano_12_p16_224_dist 1427.07 357.115 512 224 3.05
117 efficientnet_lite1 1402.56 181.634 256 240 5.42
118 mixer_s16_224 1387.35 368.544 512 224 18.53
119 efficientnet_b1_pruned 1356.21 376.138 512 240 6.33
120 dla46_c 1347.45 379.298 512 224 1.3
121 rexnetr_130 1335.58 190.622 256 224 7.61
122 nf_ecaresnet26 1333.44 383.458 512 224 16.0
123 tf_efficientnet_lite1 1330.92 191.449 256 240 5.42
124 mobilenetv2_120d 1299.02 195.983 256 224 5.83
125 resnetv2_50 1277.54 400.053 512 224 25.55
126 rexnet_100 1259.4 303.853 384 224 4.8
127 gernet_l 1250.61 408.582 512 256 31.08
128 pit_xs_224 1243.31 411.016 512 224 10.62
129 pit_xs_distilled_224 1243.18 411.013 512 224 11.0
130 gmixer_12_224 1232.53 414.68 512 224 12.7
131 resnet26t 1208.16 423.321 512 256 16.01
132 vit_small_patch32_384 1207.26 423.36 512 384 22.92
133 tv_resnet50 1193.37 321.016 384 224 25.56
134 ssl_resnet50 1193.18 321.076 384 224 25.56
135 gluon_resnet50_v1b 1192.95 321.138 384 224 25.56
136 resnet50 1192.59 321.245 384 224 25.56
137 swsl_resnet50 1191.64 321.479 384 224 25.56
138 rexnetr_150 1171.61 217.431 256 224 9.78
139 fbnetv3_b 1163.46 328.537 384 256 8.6
140 regnetx_004 1151.84 443.491 512 224 5.16
141 botnet26t_256 1146.74 334.32 384 256 12.49
142 skresnet34 1146.67 445.45 512 224 22.28
143 tf_efficientnetv2_b2 1137.18 223.699 256 260 10.1
144 fbnetv3_d 1123.37 226.192 256 256 10.31
145 resnetv2_50t 1114.22 458.774 512 224 25.57
146 gluon_resnet50_v1c 1114.01 343.942 384 224 25.58
147 repvgg_a2 1113.97 458.853 512 224 28.21
148 resnetv2_50d 1111.46 459.91 512 224 25.57
149 halonet26t 1094.74 350.238 384 256 12.48
150 efficientnet_lite2 1085.96 234.846 256 260 6.09
151 dla34 1074.06 476.134 512 224 15.74
152 mixnet_s 1060.15 481.782 512 224 4.13
153 resnet50d 1054.46 363.395 384 224 25.58
154 gluon_resnet50_v1d 1053.62 363.691 384 224 25.58
155 resnet50t 1052.26 364.133 384 224 25.57
156 vit_tiny_r_s16_p8_384 1046.6 366.108 384 384 6.36
157 xcit_tiny_12_p16_224_dist 1038.68 491.328 512 224 6.72
158 xcit_tiny_12_p16_224 1038.06 491.593 512 224 6.72
159 tf_efficientnet_lite2 1032.64 247.013 256 260 6.09
160 legacy_seresnext26_32x4d 1027.19 497.849 512 224 16.79
161 resnet32ts 1007.64 253.517 256 256 17.96
162 tf_efficientnet_b1_ap 1002.39 253.996 256 240 7.79
163 tf_efficientnet_b1 1001.08 254.315 256 240 7.79
164 tf_efficientnet_b1_ns 1000.92 254.412 256 240 7.79
165 res2net50_48w_2s 999.09 383.596 384 224 25.29
166 vit_small_resnet26d_224 998.6 383.579 384 224 63.61
167 resnet33ts 996.53 256.337 256 256 19.68
168 seresnext26d_32x4d 978.97 391.64 384 224 16.81
169 vovnet39a 977.19 523.377 512 224 22.6
170 seresnext26tn_32x4d 976.94 392.442 384 224 16.81
171 seresnext26t_32x4d 976.02 392.82 384 224 16.81
172 legacy_seresnet50 965.33 396.753 384 224 28.09
173 tf_efficientnet_em 961.83 265.228 256 240 6.9
174 efficientnet_em 961.29 265.407 256 240 6.9
175 tf_mixnet_s 959.89 532.224 512 224 4.13
176 dla46x_c 958.36 533.526 512 224 1.07
177 eca_resnet33ts 943.71 270.653 256 256 19.68
178 seresnet33ts 943.39 270.622 256 256 19.78
179 crossvit_tiny_240 940.57 406.823 384 240 7.01
180 crossvit_9_240 937.22 408.452 384 240 8.55
181 efficientnet_b1 935.15 272.379 256 256 7.79
182 seresnet50 934.74 409.786 384 224 28.09
183 regnety_004 931.71 548.466 512 224 4.34
184 gluon_resnet50_v1s 928.8 412.664 384 224 25.68
185 ecaresnetlight 928.23 550.753 512 224 30.16
186 resnetaa50d 926.64 413.614 384 224 25.58
187 dla60 926.01 413.77 384 224 22.04
188 ecaresnext26t_32x4d 925.94 414.209 384 224 15.41
189 ecaresnext50t_32x4d 924.8 414.714 384 224 15.41
190 ese_vovnet39b 919.92 555.952 512 224 24.57
191 convit_tiny 917.45 417.618 384 224 5.71
192 crossvit_9_dagger_240 912.87 419.313 384 240 8.78
193 gcresnet33ts 912.73 279.541 256 256 19.88
194 eca_vovnet39b 910.35 561.796 512 224 22.6
195 gmlp_ti16_224 908.97 421.011 384 224 5.87
196 dla60x_c 908.47 562.709 512 224 1.32
197 cspresnet50 908.32 421.991 384 256 21.62
198 vgg11 905.72 565.146 512 224 132.86
199 resnetblur50 901.02 425.435 384 224 25.56
200 ecaresnet50d_pruned 892.5 572.812 512 224 19.94
201 rexnetr_200 885.64 215.704 192 224 16.52
202 lambda_resnet26rpt_256 881.41 217.279 192 256 10.99
203 vit_small_patch16_224 879.33 435.939 384 224 22.05
204 deit_small_patch16_224 876.6 437.293 384 224 22.05
205 nf_seresnet50 866.69 441.953 384 224 28.09
206 dpn68b 864.02 443.325 384 224 12.61
207 cspresnext50 863.58 443.862 384 224 20.57
208 cspresnet50w 858.14 446.674 384 256 28.12
209 selecsls84 852.15 599.694 512 224 50.95
210 hrnet_w18_small_v2 849.12 600.799 512 224 15.6
211 cspresnet50d 847.29 452.406 384 256 21.64
212 deit_small_distilled_patch16_224 846.66 301.609 256 224 22.44
213 seresnet50t 844.69 453.54 384 224 28.1
214 resnetrs50 843.24 454.312 384 224 35.69
215 densenet121 835.01 304.929 256 224 7.98
216 tv_densenet121 832.77 305.766 256 224 7.98
217 rexnet_150 829.93 307.376 256 224 9.73
218 gluon_resnext50_32x4d 824.86 464.778 384 224 25.03
219 tv_resnext50_32x4d 824.06 465.237 384 224 25.03
220 ssl_resnext50_32x4d 823.91 465.298 384 224 25.03
221 swsl_resnext50_32x4d 823.16 465.728 384 224 25.03
222 resnext50_32x4d 823.01 465.815 384 224 25.03
223 dpn68 816.18 469.476 384 224 12.61
224 res2net50_26w_4s 812.07 314.023 256 224 25.7
225 efficientnet_b2_pruned 811.6 314.06 256 260 8.31
226 resnetblur50d 810.86 314.915 256 224 25.58
227 pit_s_224 809.09 315.601 256 224 23.46
228 pit_s_distilled_224 808.91 315.694 256 224 24.04
229 vovnet57a 808.86 473.9 384 224 36.64
230 skresnet50 802.36 317.782 256 224 25.8
231 densenet121d 795.36 320.183 256 224 8.0
232 vit_base_resnet26d_224 792.88 483.157 384 224 101.4
233 rexnet_130 792.23 322.087 256 224 7.56
234 tf_efficientnet_b2_ns 791.33 241.259 192 260 9.11
235 tf_efficientnet_b2_ap 790.24 241.588 192 260 9.11
236 regnetx_006 788.72 648.389 512 224 6.2
237 tf_efficientnet_b2 788.26 242.2 192 260 9.11
238 vgg11_bn 788.01 487.085 384 224 132.87
239 nf_ecaresnet50 787.45 486.772 384 224 25.56
240 regnety_006 779.2 656.099 512 224 6.06
241 gcresnet50t 776.26 328.367 256 256 25.9
242 ese_vovnet57b 765.66 500.673 384 224 38.61
243 ecaresnet50d 761.68 335.218 256 224 25.58
244 resnext50d_32x4d 757.82 337.002 256 224 25.05
245 adv_inception_v3 756.25 506.326 384 299 23.83
246 tf_inception_v3 754.65 507.545 384 299 23.83
247 gluon_inception_v3 754.57 507.572 384 299 23.83
248 inception_v3 753.64 508.224 384 299 23.83
249 seresnetaa50d 751.96 339.385 256 224 28.11
250 res2net50_14w_8s 748.86 339.851 256 224 25.06
251 resmlp_24_distilled_224 743.59 342.912 256 224 30.02
252 resmlp_24_224 743.53 342.937 256 224 30.02
253 resnetv2_101 742.52 343.363 256 224 44.54
254 skresnet50d 738.05 345.557 256 224 25.82
255 sehalonet33ts 731.23 349.345 256 256 13.69
256 dla60_res2net 730.56 349.091 256 224 20.85
257 densenetblur121d 729.66 349.185 256 224 8.0
258 resnet101 719.46 354.412 256 224 44.55
259 tv_resnet101 719.29 354.488 256 224 44.55
260 gluon_resnet101_v1b 719.28 354.459 256 224 44.55
261 efficientnet_b2a 707.95 269.81 192 288 9.11
262 efficientnet_b2 707.16 270.111 192 288 9.11
263 nf_resnet50 703.13 545.338 384 288 25.56
264 nf_resnet101 702.76 544.906 384 224 44.55
265 ecaresnet101d_pruned 698.97 730.858 512 224 24.88
266 densenet169 691.74 367.774 256 224 14.15
267 gluon_resnet101_v1c 690.21 369.47 256 224 44.57
268 gluon_seresnext50_32x4d 689.84 370.073 256 224 27.56
269 legacy_seresnext50_32x4d 688.18 370.947 256 224 27.56
270 seresnext50_32x4d 688.18 370.943 256 224 27.56
271 resnetv2_101d 686.94 371.274 256 224 44.56
272 darknet53 683.71 373.676 256 256 41.61
273 dla60x 680.87 375.081 256 224 17.35
274 nf_regnet_b0 680.47 751.331 512 256 8.76
275 efficientnetv2_rw_t 669.58 284.789 192 288 13.65
276 gluon_resnet101_v1d 666.43 382.723 256 224 44.57
277 regnety_008 657.21 778.104 512 224 6.26
278 rexnet_200 656.53 291.353 192 224 16.37
279 tf_efficientnetv2_b3 655.17 291.405 192 300 14.36
280 vit_small_r26_s32_224 652.39 391.27 256 224 36.43
281 sebotnet33ts_256 650.1 196.14 128 256 13.7
282 wide_resnet50_2 646.12 593.536 384 224 68.88
283 vgg13 645.37 594.836 384 224 133.05
284 dla102 640.56 398.166 256 224 33.27
285 vit_base_resnet50d_224 619.99 411.439 256 224 110.97
286 gluon_resnet101_v1s 614.53 415.124 256 224 44.67
287 resnext26ts 613.38 625.548 384 256 10.3
288 resnetaa101d 612.93 416.224 256 224 44.57
289 ecaresnet26t 610.98 418.477 256 320 16.01
290 gmixer_24_224 610.59 417.896 256 224 24.72
291 repvgg_b1 609.77 838.686 512 224 57.42
292 eca_botnext26ts_256 609.21 419.672 256 256 10.59
293 eca_halonext26ts 598.72 427.016 256 256 10.76
294 gc_efficientnetv2_rw_t 597.14 319.011 192 288 13.68
295 eca_resnext26ts 593.02 431.168 256 256 10.3
296 seresnext26ts 592.35 431.553 256 256 10.39
297 regnetx_008 587.44 870.811 512 224 7.26
298 convnext_tiny 584.52 437.049 256 224 28.59
299 coat_lite_tiny 583.0 657.845 384 224 5.72
300 convnext_tiny_hnf 582.18 438.813 256 224 28.59
301 gcresnext26ts 581.42 439.532 256 256 10.48
302 mixnet_m 576.71 664.443 384 224 5.01
303 resnetv2_50x1_bit_distilled 575.65 332.777 192 224 25.55
304 cspdarknet53 570.42 447.825 256 256 27.64
305 legacy_seresnet101 570.04 447.058 256 224 49.33
306 halonet50ts 568.71 336.701 192 256 22.73
307 res2net50_26w_6s 565.22 451.306 256 224 37.05
308 resnetblur101d 562.81 453.413 256 224 44.57
309 seresnet101 560.51 454.74 256 224 49.33
310 coat_lite_mini 559.21 685.884 384 224 11.01
311 xcit_small_12_p16_224 558.21 456.962 256 224 26.25
312 xcit_small_12_p16_224_dist 557.95 457.219 256 224 26.25
313 vgg13_bn 555.55 460.55 256 224 133.05
314 tf_efficientnet_lite3 555.29 229.476 128 300 8.2
315 efficientnet_lite3 554.26 229.924 128 300 8.2
316 tf_mixnet_m 541.25 708.06 384 224 5.01
317 ssl_resnext101_32x4d 539.66 472.944 256 224 44.18
318 gluon_resnext101_32x4d 539.41 473.189 256 224 44.18
319 xcit_tiny_24_p16_224_dist 538.89 472.126 256 224 12.12
320 resnext101_32x4d 538.71 473.739 256 224 44.18
321 xcit_tiny_24_p16_224 538.48 472.477 256 224 12.12
322 swsl_resnext101_32x4d 538.39 474.037 256 224 44.18
323 densenet201 535.33 355.953 192 224 20.01
324 bat_resnext26ts 534.3 478.021 256 256 10.73
325 twins_svt_small 529.33 482.243 256 224 24.06
326 mixer_b16_224 521.89 489.791 256 224 59.88
327 mixer_b16_224_miil 521.33 490.33 256 224 59.88
328 vgg16 519.79 738.569 384 224 138.36
329 nf_seresnet101 519.55 490.612 256 224 49.33
330 gmlp_s16_224 514.57 371.708 192 224 19.42
331 crossvit_small_240 514.25 371.914 192 240 26.86
332 resnetv2_152 514.07 495.927 256 224 60.19
333 res2net101_26w_4s 512.94 372.022 192 224 45.21
334 resnetv2_50d_gn 512.21 374.104 192 224 25.57
335 botnet50ts_256 511.02 249.57 128 256 22.74
336 vit_base_r26_s32_224 509.73 375.506 192 224 101.38
337 efficientnet_b3_pruned 508.52 501.852 256 300 9.86
338 nf_regnet_b3 507.41 502.895 256 320 18.59
339 res2next50 500.31 510.5 256 224 24.67
340 xcit_nano_12_p16_384_dist 497.26 513.197 256 384 3.05
341 dla102x 495.72 385.887 192 224 26.31
342 resnet50_gn 494.95 387.141 192 224 25.56
343 mixnet_l 494.74 516.045 256 224 7.33
344 resnet152 490.44 389.409 192 224 60.19
345 gluon_resnet152_v1b 490.37 389.44 192 224 60.19
346 tv_resnet152 490.23 389.552 192 224 60.19
347 resmlp_36_224 489.84 389.965 192 224 44.69
348 resmlp_36_distilled_224 489.66 390.129 192 224 44.69
349 cait_xxs24_224 487.15 523.231 256 224 11.96
350 mixer_l32_224 486.19 393.553 192 224 206.94
351 halo2botnet50ts_256 485.95 262.504 128 256 22.64
352 xception 485.66 262.809 128 299 22.86
353 visformer_tiny 484.78 1055.527 512 224 10.32
354 vit_large_patch32_224 484.04 527.472 256 224 306.54
355 vit_base_patch32_384 478.93 533.779 256 384 88.3
356 gluon_resnet152_v1c 476.8 400.507 192 224 60.21
357 resnetv2_152d 475.38 401.77 192 224 60.2
358 crossvit_15_240 472.73 404.523 192 240 27.53
359 res2net50_26w_8s 468.77 407.558 192 224 48.4
360 tf_mixnet_l 466.85 546.936 256 224 7.33
361 gluon_resnet152_v1d 465.06 410.759 192 224 60.21
362 ecaresnet101d 462.22 552.191 256 224 44.57
363 crossvit_15_dagger_240 459.76 415.927 192 240 28.21
364 vgg16_bn 457.66 559.065 256 224 138.37
365 nf_ecaresnet101 455.3 560.589 256 224 44.55
366 efficientnet_el 446.2 285.844 128 300 10.59
367 efficientnet_el_pruned 445.59 286.28 128 300 10.59
368 swin_tiny_patch4_window7_224 445.53 573.708 256 224 28.29
369 fbnetv3_g 442.28 287.506 128 288 16.62
370 gluon_resnet152_v1s 441.14 433.129 192 224 60.32
371 gluon_seresnext101_32x4d 437.16 437.191 192 224 48.96
372 tf_efficientnet_el 436.28 292.36 128 300 10.59
373 vgg19 436.15 880.196 384 224 143.67
374 seresnext101_32x4d 435.91 438.42 192 224 48.96
375 legacy_seresnext101_32x4d 435.08 439.246 192 224 48.96
376 ese_vovnet99b 434.62 587.614 256 224 63.2
377 skresnext50_32x4d 434.44 587.996 256 224 27.48
378 twins_pcpvt_small 433.1 589.648 256 224 24.11
379 dla60_res2next 431.53 591.928 256 224 17.03
380 dla169 427.18 447.18 192 224 53.39
381 hrnet_w32 426.75 445.609 192 224 41.23
382 hrnet_w18 413.83 614.275 256 224 21.3
383 convit_small 409.81 467.592 192 224 27.78
384 vit_tiny_patch16_384 409.3 311.972 128 384 5.79
385 vit_small_resnet50d_s16_224 407.06 470.553 192 224 57.53
386 vgg19_bn 388.74 658.182 256 224 143.68
387 ecaresnet50t 388.23 328.837 128 320 25.57
388 inception_v4 387.4 493.551 192 299 42.68
389 tf_efficientnet_b3_ap 384.58 331.269 128 300 12.23
390 tf_efficientnet_b3_ns 384.22 331.517 128 300 12.23
391 tf_efficientnet_b3 384.13 331.655 128 300 12.23
392 legacy_seresnet152 382.75 498.635 192 224 66.82
393 xcit_nano_12_p8_224 378.83 674.154 256 224 3.05
394 xcit_nano_12_p8_224_dist 378.65 674.433 256 224 3.05
395 convnext_small 375.68 509.406 192 224 50.22
396 regnetx_016 374.21 1367.378 512 224 9.19
397 haloregnetz_b 372.27 686.285 256 224 11.68
398 densenet161 371.62 342.252 128 224 28.68
399 repvgg_b2 368.23 1389.47 512 224 89.02
400 seresnet152 362.95 349.646 128 224 66.82
401 nest_tiny 356.9 357.853 128 224 17.06
402 dla102x2 355.19 358.924 128 224 41.28
403 vit_base_patch16_224_miil 354.79 360.089 128 224 86.54
404 jx_nest_tiny 353.97 360.795 128 224 17.06
405 gluon_resnext101_64x4d 352.72 361.493 128 224 83.46
406 resnext101_64x4d 352.52 361.632 128 224 83.46
407 wide_resnet101_2 350.85 545.834 192 224 126.89
408 regnety_016 350.64 1458.484 512 224 11.2
409 vit_base_patch16_224 349.4 365.598 128 224 86.57
410 deit_base_patch16_224 349.3 365.691 128 224 86.57
411 vit_base_patch16_224_sam 349.14 365.832 128 224 86.57
412 resnet200 348.81 364.208 128 224 64.67
413 resnest14d 348.25 1469.78 512 224 10.61
414 efficientnet_b3a 345.42 368.96 128 320 12.23
415 efficientnet_b3 345.06 369.413 128 320 12.23
416 deit_base_distilled_patch16_224 344.74 370.536 128 224 87.34
417 crossvit_18_240 343.92 370.408 128 240 43.27
418 hrnet_w30 341.47 745.312 256 224 37.71
419 crossvit_18_dagger_240 335.19 380.045 128 240 44.27
420 ens_adv_inception_resnet_v2 334.4 571.029 192 299 55.84
421 inception_resnet_v2 334.03 571.741 192 299 55.84
422 efficientnet_lite4 332.63 191.154 64 380 13.01
423 nf_regnet_b1 327.56 1561.741 512 288 10.22
424 coat_lite_small 324.96 589.506 192 224 19.84
425 dpn92 324.94 786.493 256 224 37.67
426 resnet101d 323.43 394.33 128 320 44.57
427 mixnet_xl 322.47 593.686 192 224 11.9
428 beit_base_patch16_224 320.26 398.682 128 224 86.53
429 tf_efficientnet_lite4 319.09 199.328 64 380 13.01
430 gcresnext50ts 314.79 608.558 192 256 15.67
431 resnetrs101 314.59 404.798 128 288 63.62
432 twins_pcpvt_base 313.15 610.712 192 224 43.83
433 cait_xxs36_224 311.89 407.079 128 224 17.3
434 gluon_seresnext101_64x4d 306.13 416.102 128 224 88.23
435 twins_svt_base 305.99 416.477 128 224 56.07
436 repvgg_b3 305.95 1254.102 384 224 123.09
437 regnetz_d8 301.65 210.668 64 320 23.37
438 xception41 300.49 424.83 128 299 26.97
439 efficientnetv2_s 292.99 325.601 96 384 21.46
440 ese_vovnet39b_evos 292.82 436.279 128 224 24.58
441 efficientnetv2_rw_s 289.9 218.715 64 384 23.94
442 tf_efficientnetv2_s 289.31 329.828 96 384 21.46
443 swin_small_patch4_window7_224 289.15 441.029 128 224 49.61
444 tf_efficientnetv2_s_in21ft1k 288.88 330.272 96 384 21.46
445 xcit_small_24_p16_224_dist 286.23 444.237 128 224 47.67
446 xcit_small_24_p16_224 286.12 444.416 128 224 47.67
447 hrnet_w40 285.91 667.227 192 224 57.56
448 pit_b_224 285.13 335.829 96 224 73.76
449 pit_b_distilled_224 284.45 336.631 96 224 74.79
450 nf_regnet_b2 282.04 1813.867 512 272 14.31
451 gluon_xception65 276.41 345.52 96 299 39.92
452 dpn98 275.63 462.928 128 224 61.57
453 xception65 275.32 346.928 96 299 39.92
454 resnet51q 274.2 699.442 192 288 35.7
455 convnext_base_in22ft1k 273.43 466.529 128 224 88.59
456 convnext_base 272.92 467.434 128 224 88.59
457 nf_regnet_b4 271.03 470.306 128 384 30.21
458 xcit_tiny_12_p8_224 270.45 471.679 128 224 6.71
459 xcit_tiny_12_p8_224_dist 270.45 471.621 128 224 6.71
460 cait_s24_224 268.53 474.373 128 224 46.92
461 hrnet_w48 262.05 484.085 128 224 77.47
462 resnest26d 254.99 1505.218 384 224 17.07
463 resnest50d_1s4x24d 252.9 1011.055 256 224 25.68
464 resnetv2_50d_evob 247.25 775.496 192 224 25.59
465 regnetz_c16 246.47 517.947 128 320 13.46
466 gmlp_b16_224 243.4 392.966 96 224 73.08
467 hrnet_w44 236.76 806.557 192 224 67.06
468 twins_svt_large 235.13 542.578 128 224 99.27
469 efficientnet_b4 234.85 270.618 64 384 19.34
470 nest_small 234.57 407.797 96 224 38.35
471 resnetv2_50d_evos 233.18 410.671 96 224 25.59
472 jx_nest_small 233.1 410.378 96 224 38.35
473 tf_efficientnet_b4_ap 230.34 275.916 64 380 19.34
474 tresnet_m 230.07 2222.819 512 224 31.39
475 tf_efficientnet_b4 229.98 276.378 64 380 19.34
476 tf_efficientnet_b4_ns 229.78 276.586 64 380 19.34
477 visformer_small 229.49 1672.652 384 224 40.22
478 crossvit_base_240 228.79 418.11 96 240 105.03
479 nfnet_l0 228.47 1119.415 256 288 35.07
480 coat_tiny 228.08 559.427 128 224 5.5
481 twins_pcpvt_large 223.01 570.431 128 224 60.99
482 eca_nfnet_l0 221.69 1153.795 256 288 24.14
483 vit_large_r50_s32_224 220.98 432.297 96 224 328.99
484 swin_base_patch4_window7_224 220.89 577.812 128 224 87.77
485 densenet264 217.72 437.317 96 224 72.69
486 hrnet_w64 216.27 587.374 128 224 128.06
487 convit_base 213.62 448.479 96 224 86.54
488 xception71 212.24 299.632 64 299 42.34
489 vit_small_r26_s32_384 211.98 300.724 64 384 36.47
490 resnet152d 211.82 451.04 96 320 60.21
491 vit_small_patch16_384 209.76 304.352 64 384 22.2
492 xcit_medium_24_p16_224 207.55 459.61 96 224 84.4
493 xcit_medium_24_p16_224_dist 207.03 460.529 96 224 84.4
494 resnet61q 206.68 618.373 128 288 36.85
495 dpn131 205.78 620.133 128 224 79.25
496 mixnet_xxl 204.23 624.949 128 224 23.96
497 vit_base_r50_s16_224 195.65 325.59 64 224 98.66
498 coat_mini 193.15 660.874 128 224 10.34
499 regnety_040 193.14 1986.785 384 224 20.65
500 xcit_small_12_p16_384_dist 191.88 498.659 96 384 26.25
501 xcit_tiny_24_p16_384_dist 186.09 512.939 96 384 12.12
502 seresnet200d 185.21 514.398 96 256 71.86
503 regnetz_b16 179.85 1066.235 192 288 9.72
504 repvgg_b1g4 177.2 2888.374 512 224 39.97
505 ecaresnet200d 176.34 541.265 96 256 64.69
506 nest_base 176.15 361.868 64 224 67.72
507 convmixer_768_32 176.07 543.988 96 224 21.11
508 resnest50d 175.35 1458.742 256 224 27.48
509 regnety_032 175.25 1459.459 256 288 19.44
510 jx_nest_base 174.95 364.333 64 224 67.72
511 regnetx_032 174.19 2203.311 384 224 15.3
512 senet154 172.45 553.616 96 224 115.09
513 gluon_senet154 172.38 553.858 96 224 115.09
514 legacy_senet154 171.96 555.183 96 224 115.09
515 seresnet152d 169.43 374.655 64 320 66.84
516 resnetrs152 167.98 377.927 64 320 86.62
517 dpn107 167.97 570.011 96 224 86.92
518 halonet_h1 167.27 381.366 64 256 8.1
519 resnest50d_4s2x40d 163.46 1564.906 256 224 30.42
520 resnet200d 163.41 388.892 64 320 64.69
521 mixer_l16_224 161.74 592.23 96 224 208.2
522 convnext_large_in22ft1k 160.8 595.418 96 224 197.77
523 convnext_large 160.72 595.739 96 224 197.77
524 regnetx_040 160.66 2389.077 384 224 22.12
525 tnt_s_patch16_224 157.73 809.855 128 224 23.76
526 regnetx_080 148.64 1721.236 256 224 39.57
527 efficientnetv2_m 147.13 323.331 48 416 54.14
528 resnext101_32x8d 145.87 876.049 128 224 88.79
529 ssl_resnext101_32x8d 145.3 879.52 128 224 88.79
530 vit_large_patch32_384 145.15 439.536 64 384 306.63
531 xcit_small_12_p8_224_dist 145.04 439.625 64 224 26.21
532 xcit_small_12_p8_224 144.99 439.796 64 224 26.21
533 ig_resnext101_32x8d 144.47 884.578 128 224 88.79
534 swsl_resnext101_32x8d 144.29 885.69 128 224 88.79
535 regnetz_e8 140.91 338.814 48 320 57.7
536 xcit_tiny_24_p8_224 139.28 686.242 96 224 12.11
537 xcit_tiny_24_p8_224_dist 139.16 686.889 96 224 12.11
538 resnetv2_50x1_bitm 137.88 347.358 48 448 25.55
539 seresnext101_32x8d 136.74 934.059 128 224 93.57
540 seresnet269d 134.18 471.701 64 256 113.67
541 swin_large_patch4_window7_224 132.61 480.998 64 224 196.53
542 xcit_nano_12_p8_384_dist 128.43 496.705 64 384 3.05
543 tnt_b_patch16_224 126.43 757.626 96 224 65.41
544 xcit_large_24_p16_224 124.67 510.437 64 224 189.1
545 xcit_large_24_p16_224_dist 124.62 510.639 64 224 189.1
546 efficientnetv2_rw_m 123.91 255.105 32 416 53.24
547 regnetx_064 123.53 2071.55 256 224 26.21
548 regnety_064 121.34 2108.152 256 224 30.58
549 resnetrs200 119.86 396.447 48 320 93.21
550 nfnet_f0 119.25 2145.698 256 256 71.49
551 nfnet_f0s 118.17 2165.276 256 256 71.49
552 ese_vovnet99b_iabn 116.31 3298.583 384 224 63.2
553 regnety_080 108.46 2359.307 256 224 39.18
554 tf_efficientnetv2_m_in21ft1k 107.43 294.9 32 480 54.14
555 vit_large_patch16_224 106.81 447.947 48 224 304.33
556 tf_efficientnetv2_m 106.77 296.673 32 480 54.14
557 convnext_xlarge_in22ft1k 104.57 610.376 64 224 350.2
558 crossvit_15_dagger_408 103.52 307.452 32 408 28.5
559 tresnet_l 102.9 4972.484 512 224 55.99
560 repvgg_b2g4 101.39 5048.708 512 224 61.76
561 eca_nfnet_l1 99.64 1282.96 128 320 41.41
562 xcit_small_24_p16_384_dist 98.62 483.709 48 384 47.67
563 beit_large_patch16_224 98.03 487.815 48 224 304.43
564 cspdarknet53_iabn 97.55 3934.064 384 256 27.64
565 efficientnet_b5 94.83 335.072 32 456 30.39
566 convnext_base_384_in22ft1k 93.76 510.323 48 384 88.59
567 tf_efficientnet_b5_ap 93.42 340.255 32 456 30.39
568 tf_efficientnet_b5_ns 93.39 340.338 32 456 30.39
569 tf_efficientnet_b5 93.26 340.852 32 456 30.39
570 xcit_tiny_12_p8_384_dist 92.1 519.585 48 384 6.71
571 tresnet_xl 89.9 4267.972 384 224 78.44
572 vit_base_patch16_384 89.9 355.185 32 384 86.86
573 deit_base_patch16_384 89.87 355.331 32 384 86.86
574 cspresnext50_iabn 89.4 4293.09 384 256 20.57
575 resnest101e 88.34 1446.581 128 256 48.28
576 deit_base_distilled_patch16_384 88.07 362.54 32 384 87.63
577 cait_xxs24_384 87.17 364.76 32 384 12.03
578 nf_regnet_b5 85.26 748.171 64 456 49.74
579 resnetv2_101x1_bitm 84.86 375.607 32 448 44.54
580 resnetv2_152x2_bit_teacher 84.71 375.537 32 224 236.34
581 repvgg_b3g4 83.61 4591.876 384 224 83.83
582 crossvit_18_dagger_408 77.92 306.154 24 408 44.61
583 regnetx_120 77.0 3323.571 256 224 46.11
584 beit_base_patch16_384 76.44 313.03 24 384 86.74
585 ecaresnet269d 75.74 418.332 32 352 102.09
586 regnety_120 75.43 2544.024 192 224 51.82
587 pnasnet5large 75.01 423.127 32 331 86.06
588 vit_large_r50_s32_384 73.58 432.769 32 384 329.09
589 xcit_small_24_p8_224_dist 73.31 433.498 32 224 47.63
590 xcit_small_24_p8_224 73.25 433.859 32 224 47.63
591 resnetrs270 73.04 432.615 32 352 129.86
592 regnetz_d32 71.19 897.484 64 320 27.58
593 dm_nfnet_f0 71.06 3601.578 256 256 71.49
594 xcit_medium_24_p16_384_dist 70.95 448.036 32 384 84.4
595 regnetz_d8_evob 68.84 695.406 48 320 23.41
596 regnety_320 66.69 1917.907 128 224 145.05
597 nasnetalarge 65.99 480.339 32 331 88.75
598 resmlp_big_24_distilled_224 65.96 483.761 32 224 129.14
599 resmlp_big_24_224 65.94 483.953 32 224 129.14
600 resmlp_big_24_224_in22ft1k 65.9 484.194 32 224 129.14
601 regnetx_160 65.04 2951.208 192 224 54.28
602 regnetz_d8_evos 62.47 510.384 32 320 23.46
603 cait_xs24_384 60.56 393.982 24 384 26.67
604 swin_base_patch4_window12_384 60.23 396.845 24 384 87.9
605 efficientnetv2_l 60.16 261.949 16 480 118.52
606 convmixer_1024_20_ks9_p14 59.76 4282.918 256 224 24.38
607 tf_efficientnetv2_l 59.73 263.768 16 480 118.52
608 tf_efficientnetv2_l_in21ft1k 59.31 265.732 16 480 118.52
609 vit_base_patch8_224 57.86 275.754 16 224 86.58
610 cait_xxs36_384 56.92 418.29 24 384 17.37
611 convnext_large_384_in22ft1k 54.87 581.624 32 384 197.77
612 xcit_medium_24_p8_224 54.52 584.052 32 224 84.32
613 xcit_medium_24_p8_224_dist 54.51 583.988 32 224 84.32
614 vit_base_resnet50_384 54.07 294.48 16 384 98.95
615 vit_base_r50_s16_384 54.05 294.543 16 384 98.95
616 tresnet_m_448 52.97 3622.14 192 448 31.39
617 xcit_small_12_p8_384_dist 49.7 481.259 24 384 26.21
618 regnety_160 48.21 1990.283 96 288 83.59
619 xcit_tiny_24_p8_384_dist 47.11 676.387 32 384 12.11
620 ssl_resnext101_32x16d 46.89 2045.721 96 224 194.03
621 swsl_resnext101_32x16d 46.82 2049.006 96 224 194.03
622 ig_resnext101_32x16d 46.52 2062.16 96 224 194.03
623 resnetrs350 46.21 512.496 24 384 163.96
624 regnetx_320 45.87 2789.512 128 224 107.81
625 cait_s24_384 45.29 350.995 16 384 47.06
626 eca_nfnet_l2 44.43 1438.009 64 384 56.72
627 xcit_large_24_p16_384_dist 43.19 552.749 24 384 189.1
628 efficientnet_b6 42.65 372.523 16 528 43.04
629 tf_efficientnet_b6 41.27 384.949 16 528 43.04
630 tf_efficientnet_b6_ap 41.07 386.945 16 528 43.04
631 tf_efficientnet_b6_ns 41.05 387.133 16 528 43.04
632 nfnet_f1 39.56 2424.624 96 320 132.63
633 nfnet_f1s 39.31 2439.907 96 320 132.63
634 vit_huge_patch14_224 38.12 417.919 16 224 632.05
635 dm_nfnet_f1 37.77 1692.371 64 320 132.63
636 swin_large_patch4_window12_384 36.73 433.938 16 384 196.74
637 efficientnet_b7 35.91 219.519 8 600 66.35
638 efficientnetv2_xl 35.88 329.245 12 512 208.12
639 tf_efficientnetv2_xl_in21ft1k 35.79 329.897 12 512 208.12
640 tf_efficientnet_b7 35.55 221.854 8 600 66.35
641 tf_efficientnet_b7_ns 35.4 222.801 8 600 66.35
642 tf_efficientnet_b7_ap 35.26 223.637 8 600 66.35
643 convnext_xlarge_384_in22ft1k 34.11 467.466 16 384 350.2
644 resnetrs420 31.93 492.311 16 416 191.89
645 xcit_large_24_p8_224_dist 31.85 499.415 16 224 188.93
646 xcit_large_24_p8_224 31.84 499.581 16 224 188.93
647 resnest200e 31.57 1515.738 48 320 70.2
648 densenet264d_iabn 31.46 4064.91 128 224 72.74
649 resnetv2_50x3_bitm 30.97 515.904 16 448 217.32
650 cait_s36_384 29.83 399.013 12 384 68.37
651 resnetv2_152x2_bit_teacher_384 29.16 409.309 12 384 236.34
652 vit_large_patch16_384 26.62 299.125 8 384 304.72
653 tresnet_l_448 25.11 5094.194 128 448 55.99
654 xcit_small_24_p8_384_dist 25.02 476.66 12 384 47.63
655 eca_nfnet_l3 23.96 1332.494 32 448 72.04
656 efficientnet_cc_b0_4e 23.7 40.469 1 224 13.31
657 efficientnet_cc_b0_8e 22.94 41.864 1 224 24.01
658 tresnet_xl_448 22.71 4223.097 96 448 78.44
659 beit_large_patch16_384 22.62 351.795 8 384 305.0
660 tf_efficientnet_cc_b0_8e 22.37 43.033 1 224 24.01
661 nfnet_f2 21.97 2181.861 48 352 193.78
662 nfnet_f2s 21.86 2193.026 48 352 193.78
663 vit_giant_patch14_224 21.57 368.599 8 224 1012.61
664 dm_nfnet_f2 21.42 1490.949 32 352 193.78
665 tf_efficientnet_cc_b0_4e 21.27 45.221 1 224 13.31
666 resnetv2_152x2_bitm 21.19 375.422 8 448 236.34
667 efficientnet_cc_b1_8e 18.42 52.102 1 240 39.72
668 xcit_medium_24_p8_384_dist 17.99 441.849 8 384 84.32
669 ig_resnext101_32x32d 17.78 1798.209 32 224 468.53
670 tf_efficientnet_cc_b1_8e 17.44 55.209 1 240 39.72
671 resnetv2_101x3_bitm 17.08 466.831 8 448 387.93
672 resnest269e 12.91 1852.797 24 416 110.93
673 nfnet_f3 11.98 1999.215 24 416 254.92
674 nfnet_f3s 11.88 2016.77 24 416 254.92
675 dm_nfnet_f3 11.64 2058.707 24 416 254.92
676 cait_m36_384 11.45 520.837 6 384 271.22
677 efficientnet_b8 11.27 528.827 6 672 87.41
678 tf_efficientnet_b8_ap 11.23 530.563 6 672 87.41
679 tf_efficientnet_b8 11.1 537.074 6 672 87.41
680 xcit_large_24_p8_384_dist 10.94 545.597 6 384 188.93
681 convmixer_1536_20 9.34 5136.027 48 224 51.63
682 tf_efficientnet_l2_ns_475 8.79 336.325 3 475 480.31
683 ig_resnext101_32x48d 8.38 1908.292 16 224 828.41
684 beit_large_patch16_512 8.36 357.133 3 512 305.67
685 nfnet_f4s 6.37 1879.688 12 512 316.07
686 nfnet_f4 6.34 1889.493 12 512 316.07
687 dm_nfnet_f4 6.16 1941.969 12 512 316.07
688 cait_m48_448 4.64 426.785 2 448 356.46
689 nfnet_f5 4.56 1747.564 8 544 377.21
690 nfnet_f5s 4.56 1750.367 8 544 377.21
691 dm_nfnet_f5 4.43 1800.804 8 544 377.21
692 nfnet_f6 3.47 1722.95 6 576 438.36
693 nfnet_f6s 3.47 1723.469 6 576 438.36
694 dm_nfnet_f6 3.34 1791.721 6 576 438.36
695 resnetv2_152x4_bitm 3.17 313.58 1 480 936.53
696 nfnet_f7 2.64 1507.256 4 608 499.5
697 nfnet_f7s 2.63 1515.779 4 608 499.5
698 efficientnet_l2 2.07 477.813 1 800 480.31
699 tf_efficientnet_l2_ns 2.03 488.22 1 800 480.31
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