pytorch-image-models/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv

model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,11915.85,41.681,512,106,2.04
mobilenetv3_small_050,11290.99,44.293,512,224,1.59
lcnet_035,10015.98,50.125,512,224,1.64
lcnet_050,9286.37,54.37,512,224,1.88
tf_mobilenetv3_small_minimal_100,9042.22,55.986,512,224,2.04
mobilenetv3_small_075,8679.98,58.254,512,224,2.04
mobilenetv3_small_100,8035.08,62.981,512,224,2.54
tinynet_d,7990.69,63.223,512,152,2.34
tf_mobilenetv3_small_075,7930.1,63.8,512,224,2.04
tf_mobilenetv3_small_100,7330.24,69.047,512,224,2.54
lcnet_075,6950.91,73.156,512,224,2.36
levit_128s,6539.16,77.346,512,224,7.78
resnet10t,6318.63,80.774,512,176,5.44
mnasnet_small,5607.09,90.422,512,224,2.03
lcnet_100,5354.67,95.126,512,224,2.95
mixer_s32_224,4943.04,103.013,512,224,19.1
mobilenetv2_035,4789.43,106.101,512,224,1.68
mnasnet_050,4680.08,108.62,512,224,2.22
levit_128,4558.28,111.213,512,224,9.21
cs3darknet_focus_s,4469.48,114.041,512,256,3.27
vit_small_patch32_224,4445.76,114.324,512,224,22.88
tinynet_c,4167.16,121.826,512,184,2.46
gernet_s,4165.03,122.198,512,224,8.17
cs3darknet_s,4110.51,124.007,512,256,3.28
regnetx_002,4105.04,124.027,512,224,2.68
mobilenetv2_050,4051.14,125.606,512,224,1.97
vit_tiny_r_s16_p8_224,4025.23,126.328,512,224,6.34
semnasnet_050,3904.91,130.185,512,224,2.08
regnety_002,3777.81,134.562,512,224,3.16
levit_192,3727.29,136.213,512,224,10.95
ghostnet_050,3670.99,138.144,512,224,2.59
ese_vovnet19b_slim_dw,3629.92,140.575,512,224,1.9
lcnet_150,3576.28,142.665,512,224,4.5
gluon_resnet18_v1b,3482.17,146.691,512,224,11.69
resnet18,3481.78,146.713,512,224,11.69
swsl_resnet18,3480.5,146.765,512,224,11.69
ssl_resnet18,3477.04,146.904,512,224,11.69
resnet14t,3472.37,147.102,512,176,10.08
tf_efficientnetv2_b0,3428.08,148.143,512,192,7.14
tf_mobilenetv3_large_minimal_100,3366.45,151.356,512,224,3.92
mnasnet_075,3238.88,157.273,512,224,3.17
tf_mobilenetv3_large_075,3189.08,159.67,512,224,3.99
seresnet18,3138.91,162.608,512,224,11.78
mobilenetv3_large_075,3095.0,164.56,512,224,3.99
legacy_seresnet18,3076.04,165.928,512,224,11.78
hardcorenas_a,2971.63,171.576,512,224,5.26
levit_256,2956.43,172.043,512,224,18.89
mnasnet_b1,2930.02,173.933,512,224,4.38
mnasnet_100,2929.31,173.976,512,224,4.38
tf_mobilenetv3_large_100,2907.93,175.204,512,224,5.48
resnet18d,2875.3,177.69,512,224,11.71
tinynet_b,2851.82,178.435,512,188,3.73
hardcorenas_b,2772.42,183.73,512,224,5.18
hardcorenas_c,2763.94,184.272,512,224,5.52
mobilenetv3_rw,2754.46,184.981,512,224,5.48
nf_regnet_b0,2740.89,185.595,512,192,8.76
mobilenetv3_large_100_miil,2733.62,186.4,512,224,5.48
mobilenetv3_large_100,2732.43,186.472,512,224,5.48
ese_vovnet19b_slim,2684.58,190.344,512,224,3.17
spnasnet_100,2610.47,195.171,512,224,4.42
mobilenetv2_075,2609.91,195.379,512,224,2.64
semnasnet_075,2603.1,195.762,512,224,2.91
hardcorenas_d,2566.48,198.271,512,224,7.5
tf_efficientnetv2_b1,2548.95,199.349,512,192,8.14
levit_256d,2522.09,201.424,512,224,26.21
fbnetc_100,2397.58,212.548,512,224,5.57
tinynet_a,2334.41,218.035,512,192,6.19
mobilenetv2_100,2313.1,220.563,512,224,3.5
vit_tiny_patch16_224,2299.56,221.804,512,224,5.72
mnasnet_a1,2291.94,222.453,512,224,3.89
deit_tiny_patch16_224,2290.33,222.697,512,224,5.72
semnasnet_100,2279.15,223.737,512,224,3.89
edgenext_xx_small,2271.04,224.572,512,256,1.33
dla46_c,2266.89,225.115,512,224,1.3
hardcorenas_f,2252.64,226.141,512,224,8.2
deit_tiny_distilled_patch16_224,2248.67,226.799,512,224,5.91
hardcorenas_e,2245.94,226.861,512,224,8.07
xcit_nano_12_p16_224_dist,2177.52,233.052,512,224,3.05
xcit_nano_12_p16_224,2170.17,234.054,512,224,3.05
tf_efficientnet_lite0,2134.89,239.057,512,224,4.65
ghostnet_100,2129.82,239.0,512,224,5.18
hrnet_w18_small,2121.96,239.906,512,224,13.19
regnety_004,2085.76,244.311,512,224,4.34
efficientnet_lite0,2079.28,245.485,512,224,4.65
cs3darknet_focus_m,2062.98,247.547,512,256,9.3
pit_ti_distilled_224,2061.94,247.414,512,224,5.1
mnasnet_140,2060.59,247.645,512,224,7.12
pit_ti_224,2057.02,247.989,512,224,4.85
gluon_resnet34_v1b,2039.68,250.446,512,224,21.8
tv_resnet34,2038.39,250.573,512,224,21.8
resnet34,2036.51,250.813,512,224,21.8
ese_vovnet19b_dw,1999.58,255.562,512,224,6.54
resnet26,1962.0,260.488,512,224,16.0
tf_efficientnetv2_b2,1951.52,260.748,512,208,10.1
skresnet18,1943.81,262.753,512,224,11.96
cs3darknet_m,1940.79,263.122,512,256,9.31
regnetz_005,1916.17,265.765,512,224,7.12
resnetblur18,1897.99,269.406,512,224,11.69
rexnetr_100,1893.12,201.724,384,224,4.88
nf_resnet26,1869.64,273.344,512,224,16.0
mobilenetv2_110d,1868.27,204.505,384,224,4.52
visformer_tiny,1861.63,274.356,512,224,10.32
mixer_b32_224,1856.75,274.965,512,224,60.29
seresnet34,1837.21,277.783,512,224,21.96
fbnetv3_b,1825.5,278.744,512,224,8.6
mobilevitv2_050,1824.87,279.552,512,256,1.37
gernet_m,1822.12,280.293,512,224,21.14
resnet34d,1813.16,281.758,512,224,21.82
levit_384,1801.0,283.153,512,224,39.13
legacy_seresnet34,1781.32,286.529,512,224,21.96
regnetx_004,1780.61,286.47,512,224,5.16
tf_efficientnet_b0_ns,1779.24,214.77,384,224,5.29
tf_efficientnet_b0,1779.02,214.765,384,224,5.29
tf_efficientnet_b0_ap,1777.73,214.898,384,224,5.29
efficientnet_b0,1751.72,291.183,512,224,5.29
selecsls42,1718.76,297.231,512,224,30.35
selecsls42b,1710.18,298.726,512,224,32.46
vit_base_patch32_224,1708.63,298.818,512,224,88.22
vit_base_patch32_224_sam,1707.5,298.997,512,224,88.22
efficientnet_es_pruned,1687.32,302.688,512,224,5.44
resnetrs50,1686.45,302.42,512,160,35.69
efficientnet_es,1686.11,302.906,512,224,5.44
mixer_s16_224,1660.76,307.737,512,224,18.53
darknet17,1654.01,309.253,512,256,14.3
mobilenetv2_140,1637.57,233.691,384,224,6.11
fbnetv3_d,1634.54,233.136,384,224,10.31
tf_efficientnet_es,1623.9,314.542,512,224,5.44
resnet26d,1623.31,314.899,512,224,16.01
mobilevit_xxs,1602.81,238.427,384,256,1.27
resmlp_12_distilled_224,1577.54,323.769,512,224,15.35
resmlp_12_224,1577.31,323.803,512,224,15.35
pit_xs_224,1555.66,328.198,512,224,10.62
pit_xs_distilled_224,1555.48,328.255,512,224,11.0
semnasnet_140,1546.19,330.184,512,224,6.11
ghostnet_130,1542.47,330.535,512,224,7.36
repvgg_b0,1538.07,331.828,512,224,15.82
efficientnet_lite1,1530.99,166.26,256,240,5.42
dla34,1524.02,335.337,512,224,15.74
edgenext_x_small,1512.48,337.399,512,256,2.34
darknet21,1486.14,344.159,512,256,20.86
selecsls60,1482.76,344.397,512,224,30.67
selecsls60b,1478.62,345.378,512,224,32.77
nf_seresnet26,1473.71,346.754,512,224,17.4
vit_small_patch32_384,1455.89,350.818,512,384,22.92
gmixer_12_224,1448.32,352.721,512,224,12.7
efficientnet_b1_pruned,1446.82,352.35,512,240,6.33
tf_efficientnet_lite1,1443.47,176.394,256,240,5.42
nf_ecaresnet26,1440.41,354.896,512,224,16.0
xcit_tiny_12_p16_224_dist,1426.36,357.157,512,224,6.72
xcit_tiny_12_p16_224,1426.18,357.168,512,224,6.72
sedarknet21,1401.98,364.696,512,256,20.95
rexnetr_130,1388.84,183.199,256,224,7.61
dla46x_c,1388.59,367.953,512,224,1.07
gmlp_ti16_224,1381.11,276.449,384,224,5.87
mixnet_s,1365.54,373.667,512,224,4.13
rexnet_100,1364.31,280.319,384,224,4.8
regnety_006,1361.43,374.963,512,224,6.06
mobilenetv2_120d,1352.9,188.013,256,224,5.83
legacy_seresnext26_32x4d,1349.26,378.798,512,224,16.79
crossvit_tiny_240,1348.01,378.219,512,240,7.01
vit_tiny_r_s16_p8_384,1345.31,284.562,384,384,6.36
poolformer_s12,1342.54,380.659,512,224,11.92
dla60x_c,1341.77,380.621,512,224,1.32
efficientnet_b1,1325.85,191.544,256,224,7.79
resnetv2_50,1288.61,396.553,512,224,25.55
regnetx_006,1286.44,397.176,512,224,6.2
crossvit_9_240,1258.73,303.637,384,240,8.55
convnext_nano_ols,1252.33,408.151,512,224,15.6
convnext_nano,1249.89,408.864,512,224,15.59
convnext_nano_hnf,1249.05,409.138,512,224,15.59
resnet26t,1237.34,413.275,512,256,16.01
tf_mixnet_s,1236.15,412.905,512,224,4.13
nf_regnet_b2,1229.56,414.759,512,240,14.31
rexnetr_150,1224.57,207.878,256,224,9.78
gluon_resnet50_v1b,1219.23,419.12,512,224,25.56
tv_resnet50,1218.99,419.17,512,224,25.56
crossvit_9_dagger_240,1218.38,313.701,384,240,8.78
resnet50,1218.01,419.528,512,224,25.56
swsl_resnet50,1217.39,419.737,512,224,25.56
ssl_resnet50,1217.38,419.757,512,224,25.56
cs3darknet_focus_l,1216.61,314.788,384,256,21.15
repvgg_a2,1214.87,420.579,512,224,28.21
cs3darknet_l,1203.14,318.267,384,256,21.16
gernet_l,1201.09,425.379,512,256,31.08
efficientnet_lite2,1191.67,213.855,256,260,6.09
nf_regnet_b1,1181.15,431.966,512,256,10.22
seresnext26d_32x4d,1178.86,325.051,384,224,16.81
botnet26t_256,1178.34,325.281,384,256,12.49
seresnext26tn_32x4d,1177.85,325.355,384,224,16.81
seresnext26t_32x4d,1176.65,325.669,384,224,16.81
mobilevitv2_075,1174.29,217.001,256,256,2.87
ecaresnext50t_32x4d,1159.52,330.605,384,224,15.41
ecaresnext26t_32x4d,1158.26,330.961,384,224,15.41
gluon_resnet50_v1c,1147.86,333.697,384,224,25.58
halonet26t,1136.15,337.402,384,256,12.48
resnetv2_50d,1134.86,450.316,512,224,25.57
resnetv2_50t,1132.89,451.133,512,224,25.57
edgenext_small,1127.71,452.849,512,256,5.59
tf_efficientnet_lite2,1121.02,227.403,256,260,6.09
convit_tiny,1118.98,456.53,512,224,5.71
skresnet34,1113.08,458.799,512,224,22.28
tf_efficientnet_b1,1099.77,231.299,256,240,7.79
tf_efficientnet_b1_ap,1099.37,231.402,256,240,7.79
efficientnetv2_rw_t,1098.86,230.78,256,224,13.65
tf_efficientnet_b1_ns,1098.29,231.567,256,240,7.79
ecaresnetlight,1091.16,468.275,512,224,30.16
gluon_resnet50_v1d,1084.38,353.226,384,224,25.58
dpn68b,1083.77,353.123,384,224,12.61
cs3sedarknet_l,1083.42,353.12,384,256,21.91
resnet50d,1078.0,355.348,384,224,25.58
resnet50t,1076.81,355.721,384,224,25.57
resnet32ts,1075.86,237.337,256,256,17.96
resnet33ts,1061.36,240.599,256,256,19.68
vit_small_patch16_224,1057.92,362.157,384,224,22.05
resnetaa50,1057.73,362.204,384,224,25.56
vit_small_resnet26d_224,1057.57,362.04,384,224,63.61
deit_small_patch16_224,1050.7,364.638,384,224,22.05
cspresnet50,1042.19,367.617,384,256,21.62
tf_efficientnetv2_b3,1041.71,243.94,256,240,14.36
regnetx_008,1034.73,493.971,512,224,7.26
ecaresnet26t,1033.34,371.048,384,256,16.01
deit_small_distilled_patch16_224,1028.8,372.398,384,224,22.44
vit_relpos_base_patch32_plus_rpn_256,1021.86,499.989,512,256,119.42
dla60,1020.05,375.488,384,224,22.04
res2net50_48w_2s,1018.83,376.079,384,224,25.29
gc_efficientnetv2_rw_t,1014.65,249.524,256,224,13.68
vit_relpos_small_patch16_rpn_224,1013.69,377.786,384,224,21.97
edgenext_small_rw,1011.18,505.339,512,256,7.83
pit_s_224,1010.83,378.943,384,224,23.46
seresnet33ts,1007.26,253.362,256,256,19.78
efficientnet_em,1007.19,253.179,256,240,6.9
vovnet39a,1006.62,507.995,512,224,22.6
legacy_seresnet50,1003.5,381.52,384,224,28.09
gluon_resnext50_32x4d,1001.3,382.689,384,224,25.03
tv_resnext50_32x4d,1001.18,382.711,384,224,25.03
resnext50_32x4d,1001.03,382.776,384,224,25.03
ssl_resnext50_32x4d,1000.68,382.908,384,224,25.03
eca_resnet33ts,999.77,255.368,256,256,19.68
swsl_resnext50_32x4d,997.37,384.186,384,224,25.03
regnety_008,993.3,514.408,512,224,6.26
dpn68,992.27,385.859,384,224,12.61
deit3_small_patch16_224,987.86,387.777,384,224,22.06
deit3_small_patch16_224_in21ft1k,987.15,388.058,384,224,22.06
gcresnet33ts,985.12,258.855,256,256,19.88
efficientnet_b2a,980.29,259.63,256,256,9.11
tf_efficientnet_em,980.0,260.253,256,240,6.9
efficientnet_b2,978.68,260.092,256,256,9.11
seresnet50,971.79,394.011,384,224,28.09
gluon_resnet50_v1s,970.71,394.714,384,224,25.68
vit_srelpos_small_patch16_224,969.18,395.281,384,224,21.97
vit_relpos_small_patch16_224,965.13,396.742,384,224,21.98
ecaresnet50d_pruned,964.18,530.07,512,224,19.94
cspresnet50d,956.82,266.672,256,256,21.64
vgg11,954.03,536.508,512,224,132.86
cspresnet50w,952.27,267.927,256,256,28.12
ese_vovnet39b,951.93,537.173,512,224,24.57
vit_base_patch32_plus_256,951.5,537.138,512,256,119.48
resnetaa50d,950.79,403.026,384,224,25.58
eca_vovnet39b,948.4,539.184,512,224,22.6
lambda_resnet26rpt_256,942.15,203.17,192,256,10.99
pit_s_distilled_224,934.29,273.079,256,224,24.04
mobilevit_xs,924.5,275.792,256,256,2.32
tv_densenet121,917.93,277.067,256,224,7.98
densenet121,913.65,278.353,256,224,7.98
resnetblur50,911.91,420.254,384,224,25.56
hrnet_w18_small_v2,910.26,559.998,512,224,15.6
coat_lite_tiny,909.29,421.406,384,224,5.72
mobilevitv2_100,907.45,281.094,256,256,4.9
nf_resnet50,900.11,425.722,384,256,25.56
resnext50d_32x4d,894.57,285.293,256,224,25.05
nf_seresnet50,892.73,428.967,384,224,28.09
rexnetr_200,890.57,214.407,192,224,16.52
efficientnet_cc_b0_4e,890.34,430.073,384,224,13.31
efficientnet_cc_b0_8e,889.37,430.553,384,224,24.01
dla60x,886.5,287.775,256,224,17.35
twins_svt_small,885.48,432.048,384,224,24.06
seresnet50t,879.71,435.29,384,224,28.1
mixnet_m,878.04,581.529,512,224,5.01
nf_ecaresnet50,875.38,437.674,384,224,25.56
efficientnet_b2_pruned,873.9,291.355,256,260,8.31
densenet121d,873.44,291.238,256,224,8.0
cspresnext50,868.23,294.006,256,256,20.57
rexnet_150,866.26,294.391,256,224,9.73
ecaresnet50d,862.65,444.205,384,224,25.58
fbnetv3_g,862.32,220.642,192,240,16.62
regnetz_b16,862.05,295.457,256,224,9.72
tf_efficientnet_cc_b0_4e,861.1,444.691,384,224,13.31
tf_efficientnet_cc_b0_8e,857.16,446.822,384,224,24.01
gcresnet50t,854.99,447.633,384,256,25.9
res2net50_26w_4s,851.03,449.921,384,224,25.7
coat_lite_mini,849.82,450.985,384,224,11.01
tf_efficientnet_b2_ap,849.52,224.466,192,260,9.11
tf_efficientnet_b2,848.58,224.736,192,260,9.11
tf_efficientnet_b2_ns,847.86,224.983,192,260,9.11
vit_base_resnet26d_224,844.62,453.315,384,224,101.4
vgg11_bn,832.74,460.889,384,224,132.87
vovnet57a,832.06,614.449,512,224,36.64
selecsls84,830.17,615.492,512,224,50.95
resnetblur50d,826.31,308.964,256,224,25.58
convnext_tiny_hnfd,820.9,310.941,256,224,28.59
convnext_tiny_hnf,819.46,311.471,256,224,28.59
convnext_tiny,819.24,311.536,256,224,28.59
convnext_tiny_in22ft1k,818.81,311.724,256,224,28.59
rexnet_130,816.78,312.226,256,224,7.56
seresnext50_32x4d,814.69,313.102,256,224,27.56
legacy_seresnext50_32x4d,813.61,313.477,256,224,27.56
gluon_seresnext50_32x4d,813.13,313.678,256,224,27.56
skresnet50,808.8,473.357,384,224,25.8
visformer_small,806.27,475.588,384,224,40.22
res2net50_14w_8s,794.56,319.93,256,224,25.06
densenetblur121d,789.33,322.521,256,224,8.0
seresnetaa50d,785.32,324.779,256,224,28.11
gluon_inception_v3,782.59,489.263,384,299,23.83
inception_v3,782.35,489.427,384,299,23.83
adv_inception_v3,778.18,491.976,384,299,23.83
resmlp_24_distilled_224,777.24,327.895,256,224,30.02
resmlp_24_224,776.95,327.972,256,224,30.02
tf_inception_v3,775.41,493.776,384,299,23.83
ese_vovnet57b,774.18,495.058,384,224,38.61
tf_mixnet_m,773.08,495.127,384,224,5.01
resnetv2_101,772.45,329.834,256,224,44.54
dla60_res2net,767.35,332.099,256,224,20.85
nf_regnet_b3,766.23,499.321,384,288,18.59
sehalonet33ts,763.66,334.4,256,256,13.69
ecaresnet101d_pruned,754.9,676.449,512,224,24.88
darknet53,753.16,339.081,256,256,41.61
densenet169,752.52,337.551,256,224,14.15
resnet101,747.89,340.74,256,224,44.55
gluon_resnet101_v1b,747.04,341.055,256,224,44.55
tv_resnet101,746.84,341.219,256,224,44.55
skresnet50d,739.17,344.891,256,224,25.82
twins_pcpvt_small,738.11,345.194,256,224,24.11
vit_small_r26_s32_224,733.9,347.477,256,224,36.43
mobilevit_s,733.0,260.821,192,256,5.58
darknetaa53,732.7,348.577,256,256,36.02
xcit_tiny_24_p16_224_dist,727.98,348.335,256,224,12.12
xcit_tiny_24_p16_224,727.1,348.63,256,224,12.12
efficientnet_b0_gn,724.56,352.174,256,224,5.29
efficientnet_b3_pruned,722.23,352.701,256,300,9.86
gluon_resnet101_v1c,717.66,355.143,256,224,44.57
resnext26ts,717.15,534.946,384,256,10.3
resnetv2_101d,715.45,356.238,256,224,44.56
gmixer_24_224,714.67,356.582,256,224,24.72
resnetrs101,714.37,356.071,256,192,63.62
nf_resnet101,712.1,537.603,384,224,44.55
efficientnet_lite3,702.44,181.104,128,300,8.2
mixnet_l,702.18,545.327,384,224,7.33
eca_resnext26ts,694.05,368.289,256,256,10.3
semobilevit_s,692.92,368.16,256,256,5.74
seresnext26ts,691.18,369.699,256,256,10.39
poolformer_s24,689.84,369.792,256,224,21.39
gluon_resnet101_v1d,688.26,370.323,256,224,44.57
dla102,688.03,370.524,256,224,33.27
vit_relpos_medium_patch16_rpn_224,687.13,371.514,256,224,38.73
sebotnet33ts_256,686.07,279.058,192,256,13.7
gcresnext26ts,683.09,373.929,256,256,10.48
regnetx_016,682.73,749.012,512,224,9.19
haloregnetz_b,680.78,374.495,256,224,11.68
cspdarknet53,679.01,375.961,256,256,27.64
vgg13,677.45,566.653,384,224,133.05
xcit_nano_12_p16_384_dist,671.72,379.231,256,384,3.05
wide_resnet50_2,668.78,573.358,384,224,68.88
tf_efficientnet_lite3,665.78,191.165,128,300,8.2
vit_relpos_medium_patch16_cls_224,661.77,385.665,256,224,38.76
vit_srelpos_medium_patch16_224,659.88,386.996,256,224,38.74
rexnet_200,659.06,290.146,192,224,16.37
vit_base_resnet50d_224,658.84,386.945,256,224,110.97
ecaresnet50t,657.78,388.237,256,256,25.57
gmlp_s16_224,657.63,290.408,192,224,19.42
vit_relpos_medium_patch16_224,657.05,388.484,256,224,38.75
tf_efficientnet_cc_b1_8e,654.82,389.25,256,240,39.72
regnety_016,650.07,785.757,512,224,11.2
swin_tiny_patch4_window7_224,648.69,393.641,256,224,28.29
xcit_small_12_p16_224,640.82,397.688,256,224,26.25
gluon_resnet101_v1s,640.79,397.908,256,224,44.67
xcit_small_12_p16_224_dist,639.99,398.193,256,224,26.25
crossvit_small_240,638.8,399.076,256,240,26.86
efficientnet_cc_b1_8e,637.42,399.94,256,240,39.72
resnetaa101d,634.86,401.619,256,224,44.57
cs3sedarknet_xdw,630.82,302.41,192,256,21.6
repvgg_b1,623.55,820.034,512,224,57.42
mobilevitv2_125,620.51,308.406,192,256,7.48
bat_resnext26ts,613.61,415.954,256,256,10.73
gluon_resnext101_32x4d,609.67,418.333,256,224,44.18
swsl_resnext101_32x4d,609.02,418.731,256,224,44.18
resnext101_32x4d,609.01,418.74,256,224,44.18
tf_mixnet_l,606.88,420.297,256,224,7.33
ssl_resnext101_32x4d,606.28,420.718,256,224,44.18
legacy_seresnet101,601.55,423.316,256,224,49.33
cs3darknet_focus_x,600.02,425.715,256,256,35.02
dla102x,598.42,319.231,192,224,26.31
halonet50ts,597.8,320.205,192,256,22.73
xcit_nano_12_p8_224,595.07,428.358,256,224,3.05
xcit_nano_12_p8_224_dist,593.27,429.695,256,224,3.05
cait_xxs24_224,593.22,428.92,256,224,11.96
seresnet101,590.42,431.41,256,224,49.33
swin_s3_tiny_224,588.57,433.98,256,224,28.33
resnetv2_50x1_bit_distilled,585.83,326.889,192,224,25.55
efficientnet_b0_g8_gn,582.67,438.264,256,224,6.56
crossvit_15_240,580.46,328.975,192,240,27.53
resnetblur101d,576.87,442.155,256,224,44.57
res2net50_26w_6s,573.8,444.339,256,224,37.05
vgg13_bn,573.47,446.125,256,224,133.05
efficientnet_b3a,572.29,221.925,128,288,12.23
efficientnet_b3,572.18,221.941,128,288,12.23
cs3darknet_x,571.12,447.259,256,256,35.05
densenet201,562.52,338.221,192,224,20.01
crossvit_15_dagger_240,562.49,339.489,192,240,28.21
efficientnetv2_s,559.15,226.702,128,288,21.46
eca_botnext26ts_256,558.6,457.666,256,256,10.59
mixer_b16_224,556.6,459.152,256,224,59.88
mixer_b16_224_miil,556.5,459.202,256,224,59.88
eca_halonext26ts,547.96,466.574,256,256,10.76
ecaresnet101d,546.58,466.555,256,224,44.57
vgg16,546.06,702.994,384,224,138.36
mixer_l32_224,543.38,351.819,192,224,206.94
vit_base_patch32_384,543.37,470.294,256,384,88.3
nf_seresnet101,540.53,471.014,256,224,49.33
resnetv2_152,536.63,474.697,256,224,60.19
botnet50ts_256,534.71,238.412,128,256,22.74
mobilevitv2_150,533.38,238.97,128,256,10.59
vit_base_r26_s32_224,533.28,358.697,192,224,101.38
mobilevitv2_150_in22ft1k,532.99,239.183,128,256,10.59
cs3sedarknet_x,531.85,479.872,256,256,35.4
nf_ecaresnet101,531.3,479.947,256,224,44.55
cs3edgenet_x,529.37,482.632,256,256,47.82
res2next50,528.59,483.023,256,224,24.67
res2net101_26w_4s,527.01,483.179,256,224,45.21
vit_large_patch32_224,524.74,486.172,256,224,306.54
resnet101d,523.85,364.964,192,256,44.57
efficientnetv2_rw_s,520.77,243.564,128,288,23.94
halo2botnet50ts_256,517.51,369.975,192,256,22.64
resmlp_36_distilled_224,513.23,371.84,192,224,44.69
vit_tiny_patch16_384,510.99,249.657,128,384,5.79
resmlp_36_224,509.53,374.55,192,224,44.69
swinv2_cr_tiny_224,506.82,503.861,256,224,28.33
mixnet_xl,505.67,504.387,256,224,11.9
resnetv2_50d_gn,505.25,379.149,192,224,25.57
swinv2_cr_tiny_ns_224,504.1,506.527,256,224,28.33
gluon_resnet152_v1b,502.02,380.204,192,224,60.19
regnetz_d8,501.8,253.463,128,256,23.37
resnet152,501.44,380.547,192,224,60.19
tv_resnet152,501.12,380.811,192,224,60.19
xception,497.64,256.367,128,299,22.86
regnety_032,496.85,771.405,384,224,19.44
tf_efficientnet_b3_ap,496.0,256.348,128,300,12.23
tf_efficientnet_b3,494.58,257.101,128,300,12.23
tf_efficientnet_b3_ns,492.45,258.213,128,300,12.23
convnext_small_in22ft1k,490.79,389.411,192,224,50.22
res2net50_26w_8s,489.22,520.921,256,224,48.4
tf_efficientnetv2_s_in21ft1k,488.77,259.622,128,300,21.46
tf_efficientnetv2_s,488.25,259.918,128,300,21.46
gluon_resnet152_v1c,488.2,390.894,192,224,60.21
convnext_small,487.15,392.394,192,224,50.22
twins_pcpvt_base,487.13,391.314,192,224,43.83
resnetv2_152d,486.82,392.059,192,224,60.2
legacy_seresnext101_32x4d,484.7,393.829,192,224,48.96
resnet50_gn,482.45,397.141,192,224,25.56
gluon_seresnext101_32x4d,480.63,397.197,192,224,48.96
hrnet_w32,480.24,528.215,256,224,41.23
sequencer2d_s,480.16,264.213,128,224,27.65
seresnext101_32x4d,479.03,398.526,192,224,48.96
nest_tiny,477.97,266.889,128,224,17.06
dla60_res2next,477.74,534.408,256,224,17.03
gluon_resnet152_v1d,476.32,400.788,192,224,60.21
regnetz_c16,475.79,402.061,192,256,13.46
hrnet_w18,473.42,535.867,256,224,21.3
jx_nest_tiny,472.84,269.807,128,224,17.06
regnetz_d32,471.85,269.596,128,256,27.58
regnetz_040,471.81,269.412,128,256,27.12
xception41p,471.79,270.424,128,299,26.91
vgg16_bn,470.3,543.999,256,224,138.37
regnetz_040h,469.27,270.846,128,256,28.94
poolformer_s36,467.39,408.832,192,224,30.86
resnet51q,463.81,551.102,256,256,35.7
efficientnet_el_pruned,461.98,275.957,128,300,10.59
efficientnet_el,461.97,275.94,128,300,10.59
coat_lite_small,461.36,414.606,192,224,19.84
nf_regnet_b4,457.97,417.049,192,320,30.21
vgg19,457.37,839.347,384,224,143.67
cs3se_edgenet_x,457.05,418.615,192,256,50.72
dla169,455.51,419.044,192,224,53.39
convit_small,454.72,421.197,192,224,27.78
gluon_resnet152_v1s,452.53,421.917,192,224,60.32
tf_efficientnet_el,449.8,283.446,128,300,10.59
gcresnext50ts,445.12,429.834,192,256,15.67
regnetx_040,442.35,866.937,384,224,22.12
vit_small_resnet50d_s16_224,437.26,437.826,192,224,57.53
volo_d1_224,437.04,437.842,192,224,26.63
mobilevitv2_175_in22ft1k,434.9,293.339,128,256,14.25
mobilevitv2_175,434.88,293.341,128,256,14.25
resnet61q,433.95,441.405,192,256,36.85
ese_vovnet99b,433.24,589.371,256,224,63.2
ese_vovnet39b_evos,430.54,296.328,128,224,24.58
twins_svt_base,425.02,449.64,192,224,56.07
resnest14d,411.87,1242.634,512,224,10.61
dla102x2,405.87,313.766,128,224,41.28
mobilevitv2_200_in22ft1k,405.83,314.414,128,256,18.45
mobilevitv2_200,405.76,314.447,128,256,18.45
inception_v4,405.43,471.399,192,299,42.68
crossvit_18_240,404.58,314.332,128,240,43.27
swin_small_patch4_window7_224,400.37,477.632,192,224,49.61
densenet161,399.17,318.189,128,224,28.68
vgg19_bn,398.5,642.012,256,224,143.68
legacy_seresnet152,398.4,478.588,192,224,66.82
vit_base_patch16_224_miil,397.86,481.79,192,224,86.54
sequencer2d_m,396.83,480.626,192,224,38.31
crossvit_18_dagger_240,396.31,320.926,128,240,44.27
resnetv2_50d_frn,394.18,323.553,128,224,25.59
vit_base_patch16_224,392.99,487.729,192,224,86.57
vit_base_patch16_224_sam,392.92,487.774,192,224,86.57
vit_base_patch16_rpn_224,391.32,489.846,192,224,86.54
xception41,391.05,326.045,128,299,26.97
deit_base_patch16_224,390.04,491.437,192,224,86.57
cait_xxs36_224,387.24,492.066,192,224,17.3
efficientnet_b0_g16_evos,386.23,993.13,384,224,8.11
deit_base_distilled_patch16_224,384.06,499.086,192,224,87.34
xcit_tiny_12_p16_384_dist,383.09,499.371,192,384,6.72
vit_relpos_base_patch16_rpn_224,382.95,500.328,192,224,86.41
seresnet152,379.38,334.127,128,224,66.82
resnetv2_50d_evos,374.27,340.812,128,224,25.59
deit3_base_patch16_224,374.05,512.341,192,224,86.59
deit3_base_patch16_224_in21ft1k,373.84,512.639,192,224,86.59
vit_relpos_base_patch16_clsgap_224,370.76,516.704,192,224,86.43
vit_relpos_base_patch16_cls_224,370.22,517.437,192,224,86.43
hrnet_w30,369.35,688.202,256,224,37.71
vit_relpos_base_patch16_224,368.93,519.279,192,224,86.43
gluon_resnext101_64x4d,363.93,350.084,128,224,83.46
resnext101_64x4d,363.79,350.21,128,224,83.46
beit_base_patch16_224,358.77,534.02,192,224,86.53
ens_adv_inception_resnet_v2,358.6,532.08,192,299,55.84
wide_resnet101_2,358.56,533.868,192,224,126.89
inception_resnet_v2,358.54,532.143,192,299,55.84
resnet200,357.55,355.04,128,224,64.67
resnet152d,357.54,355.729,128,256,60.21
swinv2_tiny_window8_256,357.0,536.56,192,256,28.35
efficientnet_b4,354.99,268.381,96,320,19.34
dpn92,353.0,723.721,256,224,37.67
repvgg_b2,352.05,1453.222,512,224,89.02
resnest50d_1s4x24d,349.97,730.142,256,224,25.68
regnetz_b16_evos,347.19,366.83,128,224,9.74
tnt_s_patch16_224,342.71,558.25,192,224,23.76
xception65p,341.43,373.588,128,299,39.82
convnext_base_in22ft1k,339.67,374.996,128,224,88.59
convnext_base,338.68,376.119,128,224,88.59
efficientnet_lite4,338.39,187.783,64,380,13.01
twins_pcpvt_large,333.52,379.633,128,224,60.99
pit_b_224,331.08,385.636,128,224,73.76
pit_b_distilled_224,328.87,388.208,128,224,74.79
xcit_small_24_p16_224_dist,326.41,388.817,128,224,47.67
xcit_small_24_p16_224,326.38,388.806,128,224,47.67
tf_efficientnet_lite4,324.6,195.748,64,380,13.01
eca_nfnet_l0,319.84,1599.745,512,224,24.14
nfnet_l0,319.69,1600.317,512,224,35.07
gluon_seresnext101_64x4d,319.51,398.398,128,224,88.23
repvgg_b3,316.57,1211.922,384,224,123.09
skresnext50_32x4d,315.84,809.121,256,224,27.48
poolformer_m36,315.69,403.496,128,224,56.17
ssl_resnext101_32x8d,313.35,406.924,128,224,88.79
resnext101_32x8d,312.8,407.622,128,224,88.79
swsl_resnext101_32x8d,312.76,407.724,128,224,88.79
ig_resnext101_32x8d,311.13,409.865,128,224,88.79
vit_small_patch16_36x1_224,309.04,411.365,128,224,64.67
regnetx_032,308.88,1241.936,384,224,15.3
vit_small_patch16_18x2_224,306.57,414.654,128,224,64.67
xcit_tiny_12_p8_224,306.37,415.93,128,224,6.71
cait_s24_224,305.74,415.965,128,224,46.92
xcit_tiny_12_p8_224_dist,304.23,418.886,128,224,6.71
swinv2_cr_small_ns_224,300.99,422.86,128,224,49.7
twins_svt_large,300.69,423.548,128,224,99.27
swinv2_cr_small_224,299.81,424.482,128,224,49.7
coat_tiny,298.83,426.275,128,224,5.5
resnest26d,298.23,1286.829,384,224,17.07
nest_small,296.79,321.765,96,224,38.35
jx_nest_small,293.75,325.094,96,224,38.35
swin_s3_small_224,290.56,438.612,128,224,49.74
dpn98,290.11,439.591,128,224,61.57
resnetv2_50d_evob,289.65,330.197,96,224,25.59
seresnet152d,283.9,447.414,128,256,66.84
gluon_xception65,283.18,337.068,96,299,39.92
convnext_tiny_384_in22ft1k,282.39,338.982,96,384,28.59
resnetrs152,282.26,450.046,128,256,86.62
xception65,281.11,339.548,96,299,39.92
swin_base_patch4_window7_224,281.0,453.662,128,224,87.77
hrnet_w48,279.44,682.135,192,224,77.47
mixnet_xxl,278.4,457.833,128,224,23.96
seresnext101_32x8d,278.13,458.033,128,224,93.57
gmlp_b16_224,275.97,346.253,96,224,73.08
seresnext101d_32x8d,270.35,471.144,128,224,93.59
resnet200d,267.1,476.272,128,256,64.69
nfnet_f0,265.61,1926.394,512,192,71.49
regnetz_e8,256.51,247.489,64,256,57.7
xcit_tiny_24_p16_384_dist,255.73,371.975,96,384,12.12
crossvit_base_240,254.6,375.374,96,240,105.03
dm_nfnet_f0,251.38,1526.301,384,192,71.49
hrnet_w40,249.23,765.525,192,224,57.56
vit_base_patch16_plus_240,246.96,517.368,128,240,117.56
efficientnetv2_m,246.55,256.379,64,320,54.14
vit_relpos_base_patch16_plus_240,244.88,521.493,128,240,117.38
seresnextaa101d_32x8d,243.89,522.629,128,224,93.59
tf_efficientnet_b4_ap,242.14,262.218,64,380,19.34
tf_efficientnet_b4,241.83,262.52,64,380,19.34
tf_efficientnet_b4_ns,241.46,263.01,64,380,19.34
xcit_medium_24_p16_224,241.39,526.926,128,224,84.4
xcit_medium_24_p16_224_dist,241.08,527.466,128,224,84.4
xcit_small_12_p16_384_dist,240.61,397.192,96,384,26.25
vit_small_patch16_384,239.06,266.856,64,384,22.2
volo_d2_224,238.89,400.019,96,224,58.68
swinv2_tiny_window16_256,238.79,400.76,96,256,28.35
mobilevitv2_150_384_in22ft1k,238.1,267.77,64,384,10.59
vit_large_r50_s32_224,236.27,403.797,96,224,328.99
tresnet_m,233.24,2192.365,512,224,31.39
hrnet_w44,232.48,820.975,192,224,67.06
poolformer_m48,232.43,410.471,96,224,73.47
densenet264,231.27,411.12,96,224,72.69
convit_base,231.06,552.947,128,224,86.54
nf_regnet_b5,228.54,417.354,96,384,49.74
deit3_small_patch16_384,226.74,281.318,64,384,22.21
deit3_small_patch16_384_in21ft1k,226.44,281.652,64,384,22.21
vit_small_r26_s32_384,226.15,281.726,64,384,36.47
coat_mini,225.14,566.497,128,224,10.34
efficientnetv2_rw_m,224.46,281.565,64,320,53.24
swin_s3_base_224,224.0,425.728,96,224,71.13
tnt_b_patch16_224,223.52,570.669,128,224,65.41
hrnet_w64,223.29,568.417,128,224,128.06
sequencer2d_l,220.03,286.022,64,224,54.3
dpn131,216.53,588.962,128,224,79.25
vit_base_r50_s16_224,215.49,443.851,96,224,98.66
swinv2_cr_base_ns_224,214.73,444.647,96,224,87.88
xception71,214.09,296.77,64,299,42.34
swinv2_cr_base_224,213.21,447.81,96,224,87.88
swinv2_small_window8_256,213.06,448.048,96,256,49.73
nest_base,210.25,302.717,64,224,67.72
jx_nest_base,209.06,304.441,64,224,67.72
seresnet200d,203.53,467.209,96,256,71.86
resnetrs200,201.84,471.293,96,256,93.21
resnest50d,201.6,1268.493,256,224,27.48
ecaresnet200d,201.55,472.938,96,256,64.69
xcit_nano_12_p8_384_dist,201.45,315.854,64,384,3.05
efficientnet_b3_gn,197.65,322.123,64,288,11.73
xcit_tiny_24_p8_224_dist,195.37,488.075,96,224,12.11
xcit_tiny_24_p8_224,195.11,488.622,96,224,12.11
dpn107,194.08,492.913,96,224,86.92
regnetz_c16_evos,193.89,328.188,64,256,13.49
regnety_040,190.14,2017.916,384,224,20.65
mobilevitv2_175_384_in22ft1k,189.6,336.534,64,384,14.25
regnetv_040,188.29,1358.084,256,224,20.64
convnext_large,187.93,509.087,96,224,197.77
convnext_large_in22ft1k,187.83,509.365,96,224,197.77
convmixer_768_32,187.17,511.603,96,224,21.11
regnetx_080,181.41,1409.979,256,224,39.57
resnest50d_4s2x40d,180.44,1417.38,256,224,30.42
xcit_small_12_p8_224,179.5,354.768,64,224,26.21
xcit_small_12_p8_224_dist,179.34,355.047,64,224,26.21
halonet_h1,176.7,360.706,64,256,8.1
tf_efficientnetv2_m_in21ft1k,175.14,270.794,48,384,54.14
mobilevitv2_200_384_in22ft1k,175.13,273.08,48,384,18.45
tf_efficientnetv2_m,173.37,273.617,48,384,54.14
mixer_l16_224,171.41,558.471,96,224,208.2
efficientnet_b3_g8_gn,168.79,377.376,64,288,14.25
repvgg_b1g4,167.59,3053.943,512,224,39.97
vit_large_patch32_384,167.04,573.058,96,384,306.63
convnext_small_384_in22ft1k,165.65,384.557,64,384,50.22
volo_d3_224,162.19,392.021,64,224,86.33
regnetz_d8_evos,155.31,307.002,48,256,23.46
swin_large_patch4_window7_224,153.79,414.289,64,224,196.53
swinv2_base_window8_256,151.21,420.663,64,256,87.92
convmixer_1024_20_ks9_p14,149.3,1713.726,256,224,24.38
resnetv2_50x1_bitm,147.75,215.764,32,448,25.55
seresnet269d,145.59,433.61,64,256,113.67
resnetrs270,144.14,437.83,64,256,129.86
swinv2_small_window16_256,143.52,443.487,64,256,49.73
regnety_040s_gn,142.58,896.132,128,224,20.65
repvgg_b2g4,133.72,3827.892,512,224,61.76
eca_nfnet_l1,133.59,1435.413,192,256,41.41
xcit_large_24_p16_224,132.6,479.222,64,224,189.1
swinv2_cr_tiny_384,131.94,483.86,64,384,28.33
xcit_large_24_p16_224_dist,131.66,482.65,64,224,189.1
xcit_tiny_12_p8_384_dist,131.64,362.75,48,384,6.71
regnetx_064,129.82,1970.916,256,224,26.21
swinv2_cr_large_224,124.15,513.018,64,224,196.68
xcit_small_24_p16_384_dist,120.64,394.328,48,384,47.67
regnety_064,119.44,2141.523,256,224,30.58
regnety_080,117.88,2170.37,256,224,39.18
crossvit_15_dagger_408,117.86,269.618,32,408,28.5
vit_large_patch16_224,117.2,544.512,64,224,304.33
regnetv_064,117.03,1638.944,192,224,30.58
ese_vovnet99b_iabn,117.02,3278.167,384,224,63.2
convnext_xlarge_in22ft1k,116.37,548.167,64,224,350.2
vit_base_patch16_18x2_224,116.0,548.972,64,224,256.73
convnext_base_384_in22ft1k,115.58,413.454,48,384,88.59
efficientnet_b5,113.63,279.129,32,456,30.39
deit3_large_patch16_224_in21ft1k,112.51,567.041,64,224,304.37
deit3_large_patch16_224,112.48,567.139,64,224,304.37
tf_efficientnet_b5,111.42,284.665,32,456,30.39
tf_efficientnet_b5_ap,111.14,285.451,32,456,30.39
tf_efficientnet_b5_ns,111.14,285.33,32,456,30.39
legacy_senet154,110.98,861.567,96,224,115.09
senet154,110.82,862.828,96,224,115.09
gluon_senet154,110.77,863.12,96,224,115.09
beit_large_patch16_224,109.02,584.818,64,224,304.43
repvgg_b3g4,108.77,3529.239,384,224,83.83
regnetx_160,107.6,1783.261,192,224,54.28
nfnet_f1,107.01,1791.907,192,224,132.63
volo_d1_384,105.69,301.347,32,384,26.78
swinv2_base_window16_256,103.88,459.56,48,256,87.92
swinv2_base_window12to16_192to256_22kft1k,103.79,460.002,48,256,87.92
tresnet_l,102.82,4975.916,512,224,55.99
dm_nfnet_f1,101.59,1257.525,128,224,132.63
volo_d4_224,101.08,472.359,48,224,192.96
cait_xxs24_384,99.39,480.268,48,384,12.03
ecaresnet269d,99.06,479.988,48,320,102.09
efficientnetv2_l,98.76,319.521,32,384,118.52
tf_efficientnetv2_l_in21ft1k,98.35,320.759,32,384,118.52
tf_efficientnetv2_l,97.56,323.47,32,384,118.52
deit_base_patch16_384,97.3,328.042,32,384,86.86
vit_base_patch16_384,97.1,328.712,32,384,86.86
resnest101e,96.09,1329.413,128,256,48.28
deit_base_distilled_patch16_384,94.63,337.315,32,384,87.63
regnetx_120,94.03,2721.558,256,224,46.11
deit3_base_patch16_384,93.5,341.294,32,384,86.88
deit3_base_patch16_384_in21ft1k,93.49,341.309,32,384,86.88
xcit_small_24_p8_224_dist,92.61,514.968,48,224,47.63
xcit_small_24_p8_224,92.51,515.466,48,224,47.63
regnety_120,92.07,2083.952,192,224,51.82
tresnet_xl,91.15,4209.119,384,224,78.44
crossvit_18_dagger_408,89.17,356.787,32,408,44.61
resnetv2_152x2_bit_teacher,89.16,356.538,32,224,236.34
vit_large_patch14_224,85.06,562.673,48,224,304.2
resnetv2_101x1_bitm,84.72,187.286,16,448,44.54
resnetrs350,84.14,372.211,32,288,163.96
beit_base_patch16_384,83.87,380.424,32,384,86.74
regnety_160,83.24,2305.144,192,224,83.59
pnasnet5large,83.16,380.801,32,331,86.06
xcit_medium_24_p16_384_dist,82.74,383.266,32,384,84.4
vit_large_r50_s32_384,77.34,411.186,32,384,329.09
nasnetalarge,77.32,408.633,32,331,88.75
swinv2_cr_small_384,76.42,416.277,32,384,49.7
swin_base_patch4_window12_384,74.73,426.327,32,384,87.9
resmlp_big_24_distilled_224,70.88,449.95,32,224,129.14
resmlp_big_24_224_in22ft1k,70.88,449.933,32,224,129.14
resmlp_big_24_224,70.41,452.99,32,224,129.14
regnety_320,66.33,1928.357,128,224,145.05
xcit_tiny_24_p8_384_dist,66.29,479.361,32,384,12.11
cait_xs24_384,66.24,480.525,32,384,26.67
ig_resnext101_32x16d,65.9,1455.165,96,224,194.03
ssl_resnext101_32x16d,65.74,1458.688,96,224,194.03
swsl_resnext101_32x16d,65.74,1458.738,96,224,194.03
volo_d5_224,64.41,493.535,32,224,295.46
cait_xxs36_384,64.34,493.602,32,384,17.37
efficientnet_b6,64.08,246.77,16,528,43.04
xcit_medium_24_p8_224,63.96,496.86,32,224,84.32
xcit_medium_24_p8_224_dist,63.93,497.194,32,224,84.32
convnext_large_384_in22ft1k,63.85,499.388,32,384,197.77
vit_base_patch8_224,63.45,377.425,24,224,86.58
tf_efficientnet_b6_ns,63.1,250.577,16,528,43.04
tf_efficientnet_b6,62.84,251.669,16,528,43.04
tf_efficientnet_b6_ap,62.76,252.073,16,528,43.04
efficientnetv2_xl,62.18,251.438,16,384,208.12
tf_efficientnetv2_xl_in21ft1k,62.14,251.721,16,384,208.12
xcit_small_12_p8_384_dist,61.84,386.224,24,384,26.21
vit_base_r50_s16_384,61.01,391.67,24,384,98.95
vit_base_resnet50_384,60.98,391.903,24,384,98.95
swinv2_large_window12to16_192to256_22kft1k,60.98,391.098,24,256,196.74
eca_nfnet_l2,58.72,1632.112,96,320,56.72
volo_d2_384,58.5,271.766,16,384,58.87
resnetrs420,56.49,415.629,24,320,191.89
swinv2_cr_base_384,55.08,433.269,24,384,87.88
nfnet_f2,54.73,1750.573,96,256,193.78
tresnet_m_448,53.52,3584.333,192,448,31.39
dm_nfnet_f2,51.26,1245.084,64,256,193.78
cait_s24_384,50.14,476.064,24,384,47.06
swinv2_cr_huge_224,49.63,481.092,24,224,657.83
regnetx_320,48.06,2662.024,128,224,107.81
xcit_large_24_p16_384_dist,48.02,496.416,24,384,189.1
swin_large_patch4_window12_384,41.75,381.31,16,384,196.74
convnext_xlarge_384_in22ft1k,40.45,591.485,24,384,350.2
deit3_huge_patch14_224_in21ft1k,38.41,414.036,16,224,632.13
deit3_huge_patch14_224,38.4,414.103,16,224,632.13
efficientnet_b7,37.97,207.232,8,600,66.35
tf_efficientnet_b7_ap,37.27,210.986,8,600,66.35
tf_efficientnet_b7_ns,37.25,211.249,8,600,66.35
tf_efficientnet_b7,37.22,211.329,8,600,66.35
eca_nfnet_l3,35.61,1344.526,48,352,72.04
xcit_large_24_p8_224_dist,35.32,449.68,16,224,188.93
xcit_large_24_p8_224,35.06,452.952,16,224,188.93
resnetv2_50x3_bitm,34.68,460.605,16,448,217.32
swinv2_cr_large_384,32.56,488.949,16,384,196.68
cait_s36_384,32.3,491.641,16,384,68.37
densenet264d_iabn,32.11,3982.48,128,224,72.74
resnetv2_152x2_bit_teacher_384,31.17,382.508,12,384,236.34
xcit_small_24_p8_384_dist,31.12,510.761,16,384,47.63
resnest200e,30.3,1579.149,48,320,70.2
vit_large_patch16_384,29.14,410.147,12,384,304.72
deit3_large_patch16_384,28.26,422.768,12,384,304.76
deit3_large_patch16_384_in21ft1k,28.25,422.94,12,384,304.76
swinv2_base_window12to24_192to384_22kft1k,28.19,423.281,12,384,87.92
nfnet_f3,26.1,1834.868,48,320,254.92
beit_large_patch16_384,25.3,472.219,12,384,305.0
tresnet_l_448,25.28,5060.321,128,448,55.99
volo_d3_448,24.7,321.403,8,448,86.63
dm_nfnet_f3,24.56,1297.967,32,320,254.92
tresnet_xl_448,23.27,4122.323,96,448,78.44
efficientnet_b8,22.93,257.589,6,672,87.41
tf_efficientnet_b8,22.71,260.18,6,672,87.41
tf_efficientnet_b8_ap,22.69,260.555,6,672,87.41
resnetv2_152x2_bitm,22.58,351.774,8,448,236.34
vit_giant_patch14_224,22.32,355.766,8,224,1012.61
ig_resnext101_32x32d,21.03,1519.993,32,224,468.53
xcit_medium_24_p8_384_dist,21.03,376.997,8,384,84.32
convmixer_1536_20,20.83,2303.059,48,224,51.63
resnetv2_101x3_bitm,18.05,441.706,8,448,387.93
volo_d4_448,17.57,338.789,6,448,193.41
swinv2_large_window12to24_192to384_22kft1k,16.62,358.548,6,384,196.74
resnest269e,16.0,1493.085,24,416,110.93
nfnet_f4,14.17,1687.74,24,384,316.07
swinv2_cr_huge_384,13.13,454.627,6,384,657.94
dm_nfnet_f4,12.96,1229.019,16,384,316.07
xcit_large_24_p8_384_dist,12.19,488.758,6,384,188.93
cait_m36_384,11.91,500.148,6,384,271.22
volo_d5_448,11.43,346.654,4,448,295.91
ig_resnext101_32x48d,11.2,1427.437,16,224,828.41
tf_efficientnet_l2_ns_475,10.96,267.912,3,475,480.31
dm_nfnet_f5,9.76,1222.345,12,416,377.21
beit_large_patch16_512,9.42,422.548,4,512,305.67
volo_d5_512,8.0,371.847,3,512,296.09
nfnet_f5,8.0,1992.337,16,416,377.21
dm_nfnet_f6,7.45,1065.231,8,448,438.36
nfnet_f6,5.82,2052.248,12,448,438.36
nfnet_f7,5.73,1387.07,8,480,499.5
resnetv2_152x4_bitm,4.89,406.668,2,480,936.53
cait_m48_448,4.76,414.936,2,448,356.46
efficientnet_l2,3.95,247.515,1,800,480.31
tf_efficientnet_l2_ns,3.93,248.975,1,800,480.31