pytorch-image-models/results/model_benchmark_amp_nchw_rtx3090.csv

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tf_mobilenetv3_small_minimal_100,23813.47,10.741,256,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,20226.39,12.646,256,224,0.05,1.3,2.04
tf_mobilenetv3_small_100,18228.81,14.034,256,224,0.06,1.42,2.54
levit_128s,17210.0,14.865,256,224,0.31,1.88,7.78
regnetx_002,14906.56,17.164,256,224,0.2,2.16,2.68
regnety_002,13464.5,19.003,256,224,0.2,2.17,3.16
levit_128,11979.62,21.36,256,224,0.41,2.71,9.21
levit_192,10405.48,24.593,256,224,0.66,3.2,10.95
gernet_s,10172.35,25.156,256,224,0.75,2.65,8.17
vit_small_patch32_224,9285.97,27.555,256,224,1.15,2.5,22.88
regnetx_004,9188.53,27.851,256,224,0.4,3.14,5.16
tf_mobilenetv3_large_minimal_100,9164.35,27.924,256,224,0.22,4.4,3.92
tf_mobilenetv3_large_075,8667.81,29.525,256,224,0.16,4.0,3.99
mobilenetv3_rw,8631.08,29.65,256,224,0.23,4.41,5.48
vit_tiny_r_s16_p8_224,8546.38,29.942,256,224,0.44,2.06,6.34
mobilenetv3_large_100_miil,8526.13,30.015,256,224,0.23,4.41,5.48
mobilenetv3_large_100,8496.93,30.118,256,224,0.23,4.41,5.48
gluon_resnet18_v1b,8461.63,30.244,256,224,1.82,2.48,11.69
ssl_resnet18,8460.21,30.249,256,224,1.82,2.48,11.69
resnet18,8386.36,30.514,256,224,1.82,2.48,11.69
swsl_resnet18,8382.52,30.528,256,224,1.82,2.48,11.69
ghostnet_100,8276.88,30.92,256,224,0.15,3.55,5.18
levit_256,7773.58,32.922,256,224,1.13,4.23,18.89
legacy_seresnet18,7701.78,33.229,256,224,1.82,2.49,11.78
tf_mobilenetv3_large_100,7680.05,33.323,256,224,0.23,4.41,5.48
regnetx_006,7603.45,33.658,256,224,0.61,3.98,6.2
mobilenetv2_100,7541.65,33.934,256,224,0.31,6.68,3.5
regnety_004,7368.29,34.733,256,224,0.41,3.89,4.34
hardcorenas_a,7264.93,35.227,256,224,0.23,4.38,5.26
hardcorenas_b,7208.11,35.505,256,224,0.26,5.09,5.18
mnasnet_100,7142.85,35.829,256,224,0.33,5.46,4.38
resnet18d,7065.39,36.221,256,224,2.06,3.29,11.71
semnasnet_100,6753.19,37.897,256,224,0.32,6.23,3.89
hardcorenas_c,6746.84,37.933,256,224,0.28,5.01,5.52
spnasnet_100,6739.75,37.973,256,224,0.35,6.03,4.42
regnety_006,6693.6,38.235,256,224,0.61,4.33,6.06
hardcorenas_d,6572.55,38.939,256,224,0.3,4.93,7.5
tf_efficientnetv2_b0,6314.13,40.533,256,224,0.73,4.77,7.14
regnetx_008,6079.04,42.101,256,224,0.81,5.15,7.26
efficientnet_lite0,5804.98,44.09,256,224,0.4,6.74,4.65
dla46_c,5780.94,44.273,256,224,0.58,4.5,1.3
mobilenetv2_110d,5723.57,44.717,256,224,0.45,8.71,4.52
rexnet_100,5717.93,44.761,256,224,0.41,7.44,4.8
hardcorenas_f,5617.23,45.564,256,224,0.35,5.57,8.2
regnety_008,5508.59,46.462,256,224,0.81,5.25,6.26
hardcorenas_e,5410.0,47.31,256,224,0.35,5.65,8.07
fbnetc_100,5329.99,48.02,256,224,0.4,6.51,5.57
skresnet18,5316.12,48.145,256,224,1.82,3.24,11.96
tf_efficientnet_lite0,5240.32,48.842,256,224,0.4,6.74,4.65
mobilenetv2_140,5070.12,50.481,256,224,0.6,9.57,6.11
efficientnet_b0,5059.78,50.585,256,224,0.4,6.75,5.29
ese_vovnet19b_dw,5050.16,50.68,256,224,1.34,8.25,6.54
gluon_resnet34_v1b,4958.52,51.618,256,224,3.67,3.74,21.8
efficientnet_b1_pruned,4954.57,51.658,256,240,0.4,6.21,6.33
tv_resnet34,4937.29,51.84,256,224,3.67,3.74,21.8
resnet34,4928.32,51.933,256,224,3.67,3.74,21.8
hrnet_w18_small,4869.58,52.561,256,224,1.61,5.72,13.19
levit_384,4654.29,54.993,256,224,2.36,6.26,39.13
tf_efficientnet_b0_ap,4650.22,55.039,256,224,0.4,6.75,5.29
tf_efficientnet_b0_ns,4646.91,55.076,256,224,0.4,6.75,5.29
tf_efficientnet_b0,4644.25,55.108,256,224,0.4,6.75,5.29
dla46x_c,4605.94,55.57,256,224,0.54,5.66,1.07
selecsls42b,4570.17,56.005,256,224,2.98,4.62,32.46
deit_tiny_patch16_224,4543.82,56.329,256,224,1.26,5.97,5.72
vit_tiny_patch16_224,4538.07,56.399,256,224,1.26,5.97,5.72
gernet_m,4516.03,56.676,256,224,3.02,5.24,21.14
deit_tiny_distilled_patch16_224,4481.69,57.11,256,224,1.27,6.01,5.91
legacy_seresnet34,4474.42,57.204,256,224,3.67,3.74,21.96
resnet34d,4448.37,57.538,256,224,3.91,4.54,21.82
pit_ti_distilled_224,4332.05,59.084,256,224,0.71,6.23,5.1
pit_ti_224,4322.46,59.215,256,224,0.7,6.19,4.85
dla60x_c,4302.12,59.495,256,224,0.59,6.01,1.32
mixnet_s,4297.51,59.559,256,224,0.25,6.25,4.13
rexnet_130,4236.61,60.415,256,224,0.68,9.71,7.56
tf_efficientnetv2_b1,4231.93,60.481,256,240,1.21,7.34,8.14
xcit_nano_12_p16_224_dist,4191.2,61.067,256,224,0.56,4.17,3.05
xcit_nano_12_p16_224,4188.12,61.112,256,224,0.56,4.17,3.05
resmlp_12_distilled_224,4137.96,61.855,256,224,3.01,5.5,15.35
resmlp_12_224,4137.2,61.867,256,224,3.01,5.5,15.35
resnet26,4135.23,61.895,256,224,2.36,7.35,16.0
vit_base_patch32_sam_224,4111.04,62.261,256,224,4.41,5.01,88.22
mobilenetv2_120d,4108.55,62.299,256,224,0.69,11.97,5.83
vit_base_patch32_224,4102.94,62.384,256,224,4.41,5.01,88.22
tf_mixnet_s,4033.2,63.462,256,224,0.25,6.25,4.13
repvgg_b0,4020.07,63.669,256,224,3.41,6.15,15.82
selecsls60b,3957.1,64.683,256,224,3.63,5.52,32.77
selecsls60,3955.58,64.708,256,224,3.59,5.52,30.67
resnet26d,3771.71,67.862,256,224,2.6,8.15,16.01
dla34,3751.8,68.222,256,224,3.07,5.02,15.74
rexnet_150,3693.73,69.295,256,224,0.9,11.21,9.73
ecaresnet50d_pruned,3635.83,70.4,256,224,2.53,6.43,19.94
tf_efficientnet_lite1,3541.96,72.266,256,240,0.62,10.14,5.42
pit_xs_224,3506.77,72.991,256,224,1.4,7.71,10.62
regnetx_016,3495.21,73.233,256,224,1.62,7.93,9.19
pit_xs_distilled_224,3481.48,73.522,256,224,1.41,7.76,11.0
efficientnet_es_pruned,3365.67,76.052,256,224,1.81,8.73,5.44
efficientnet_es,3358.26,76.219,256,224,1.81,8.73,5.44
efficientnet_b2_pruned,3344.4,76.535,256,260,0.73,9.13,8.31
tf_efficientnet_es,3248.35,78.797,256,224,1.81,8.73,5.44
tf_efficientnetv2_b2,3221.93,79.444,256,260,1.72,9.84,10.1
resnest14d,3200.62,79.966,256,224,2.76,7.33,10.61
gernet_l,3173.09,80.669,256,256,4.57,8.0,31.08
regnety_016,3082.19,83.046,256,224,1.63,8.04,11.2
tf_efficientnet_cc_b0_8e,3079.83,83.109,256,224,0.42,9.42,24.01
tf_efficientnet_cc_b0_4e,3072.34,83.31,256,224,0.41,9.42,13.31
mixnet_m,3041.78,84.15,256,224,0.36,8.19,5.01
skresnet34,3025.8,84.595,256,224,3.67,5.13,22.28
resnext26ts,2999.56,85.335,256,256,2.43,10.52,10.3
repvgg_a2,2997.36,85.397,256,224,5.7,6.26,28.21
legacy_seresnext26_32x4d,2982.2,85.832,256,224,2.49,9.39,16.79
vit_tiny_r_s16_p8_384,2981.27,85.856,256,384,1.34,6.49,6.36
vit_small_patch32_384,2975.01,86.035,256,384,3.45,8.25,22.92
xcit_tiny_12_p16_224_dist,2962.26,86.406,256,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,2958.87,86.506,256,224,1.24,6.29,6.72
resnet26t,2949.15,86.793,256,256,3.35,10.52,16.01
seresnext26ts,2930.19,87.355,256,256,2.43,10.52,10.39
eca_resnext26ts,2927.39,87.439,256,256,2.43,10.52,10.3
tf_mixnet_m,2918.13,87.716,256,224,0.36,8.19,5.01
tf_efficientnet_b1_ap,2909.55,87.973,256,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,2907.96,88.021,256,240,0.71,10.88,7.79
tf_efficientnet_b1,2906.46,88.066,256,240,0.71,10.88,7.79
gcresnext26ts,2860.35,89.489,256,256,2.43,10.53,10.48
ecaresnet101d_pruned,2832.39,90.373,256,224,3.48,7.69,24.88
efficientnet_b1,2816.51,90.881,256,256,0.77,12.22,7.79
seresnext26t_32x4d,2803.22,91.313,256,224,2.7,10.09,16.81
seresnext26d_32x4d,2791.34,91.701,256,224,2.73,10.19,16.81
ecaresnetlight,2748.62,93.127,256,224,4.11,8.42,30.16
tf_efficientnet_lite2,2734.03,93.624,256,260,0.89,12.9,6.09
nf_regnet_b1,2722.26,94.028,256,288,1.02,9.2,10.22
crossvit_tiny_240,2719.71,94.117,256,240,1.57,9.08,7.01
rexnet_200,2697.36,94.896,256,224,1.56,14.91,16.37
resnetv2_50,2678.82,95.552,256,224,4.11,11.11,25.55
crossvit_9_240,2675.71,95.665,256,240,1.85,9.52,8.55
eca_botnext26ts_256,2660.24,96.221,256,256,2.46,11.6,10.59
tresnet_m,2657.69,96.314,256,224,5.74,7.31,31.39
botnet26t_256,2648.39,96.646,256,256,3.32,11.98,12.49
halonet26t,2611.82,98.005,256,256,3.19,11.69,12.48
vgg11,2609.78,98.082,256,224,7.61,7.44,132.86
eca_halonext26ts,2603.27,98.327,256,256,2.44,11.46,10.76
gluon_resnet50_v1b,2595.8,98.61,256,224,4.11,11.11,25.56
ssl_resnet50,2595.55,98.619,256,224,4.11,11.11,25.56
efficientnet_b3_pruned,2594.03,98.677,256,300,1.04,11.86,9.86
tv_resnet50,2591.78,98.763,256,224,4.11,11.11,25.56
crossvit_9_dagger_240,2589.88,98.836,256,240,1.99,9.97,8.78
resnet50,2584.36,99.039,256,224,4.11,11.11,25.56
swsl_resnet50,2581.65,99.146,256,224,4.11,11.11,25.56
convit_tiny,2544.18,100.61,256,224,1.26,7.94,5.71
hrnet_w18_small_v2,2509.11,102.017,256,224,2.62,9.65,15.6
resnet32ts,2503.04,102.263,256,256,4.63,11.58,17.96
bat_resnext26ts,2479.68,103.219,256,256,2.53,12.51,10.73
resnet33ts,2467.72,103.728,256,256,4.76,11.66,19.68
gluon_resnet50_v1c,2464.02,103.884,256,224,4.35,11.92,25.58
ese_vovnet39b,2457.44,104.162,256,224,7.09,6.74,24.57
cspresnet50,2453.31,104.338,256,256,4.54,11.5,21.62
cspresnext50,2451.69,104.407,256,224,3.1,12.14,20.57
gluon_resnet50_v1d,2445.69,104.663,256,224,4.35,11.92,25.58
resnet50d,2441.21,104.85,256,224,4.35,11.92,25.58
dpn68b,2432.24,105.242,256,224,2.35,10.47,12.61
legacy_seresnet50,2426.52,105.49,256,224,3.88,10.6,28.09
dpn68,2406.35,106.374,256,224,2.35,10.47,12.61
eca_resnet33ts,2405.01,106.434,256,256,4.76,11.66,19.68
seresnet33ts,2402.61,106.54,256,256,4.76,11.66,19.78
vgg11_bn,2383.08,107.413,256,224,7.62,7.44,132.87
mixnet_l,2358.59,108.528,256,224,0.58,10.84,7.33
lambda_resnet26t,2358.23,108.545,256,256,3.02,11.87,10.96
gcresnet33ts,2347.52,109.04,256,256,4.76,11.68,19.88
pit_s_224,2332.08,109.763,256,224,2.88,11.56,23.46
dla60,2324.78,110.106,256,224,4.26,10.16,22.04
seresnet50,2316.85,110.484,256,224,4.11,11.13,28.09
resnest26d,2313.67,110.634,256,224,3.64,9.97,17.07
pit_s_distilled_224,2311.97,110.718,256,224,2.9,11.64,24.04
deit_small_patch16_224,2297.25,111.426,256,224,4.61,11.95,22.05
vit_small_patch16_224,2293.15,111.622,256,224,4.61,11.95,22.05
deit_small_distilled_patch16_224,2268.28,112.85,256,224,4.63,12.02,22.44
tf_mixnet_l,2264.19,113.053,256,224,0.58,10.84,7.33
tf_efficientnet_b2_ns,2256.47,113.438,256,260,1.02,13.83,9.11
tf_efficientnet_b2_ap,2256.28,113.446,256,260,1.02,13.83,9.11
tf_efficientnet_b2,2253.15,113.605,256,260,1.02,13.83,9.11
tv_densenet121,2246.15,113.963,256,224,2.87,6.9,7.98
densenet121,2241.22,114.212,256,224,2.87,6.9,7.98
res2net50_48w_2s,2234.19,114.57,256,224,4.18,11.72,25.29
ecaresnet50d,2188.72,116.953,256,224,4.35,11.93,25.58
resnetblur50,2181.37,117.342,256,224,5.16,12.02,25.56
haloregnetz_b,2181.01,117.365,256,224,1.97,11.94,11.68
resnetrs50,2148.74,119.126,256,224,4.48,12.14,35.69
gluon_resnet50_v1s,2124.85,120.469,256,224,5.47,13.52,25.68
visformer_small,2123.42,120.549,256,224,4.88,11.43,40.22
gluon_inception_v3,2118.5,120.829,256,299,5.73,8.97,23.83
regnetx_032,2117.36,120.894,256,224,3.2,11.37,15.3
resmlp_24_distilled_224,2109.62,121.337,256,224,5.96,10.91,30.02
efficientnet_b2,2109.39,121.351,256,288,1.12,16.2,9.11
inception_v3,2109.39,121.351,256,299,5.73,8.97,23.83
resmlp_24_224,2108.77,121.386,256,224,5.96,10.91,30.02
tf_inception_v3,2108.49,121.403,256,299,5.73,8.97,23.83
adv_inception_v3,2107.2,121.474,256,299,5.73,8.97,23.83
efficientnet_em,2078.91,123.131,256,240,3.04,14.34,6.9
densenetblur121d,2047.01,125.05,256,224,3.11,7.9,8.0
tf_efficientnet_em,2016.96,126.911,256,240,3.04,14.34,6.9
ssl_resnext50_32x4d,2014.12,127.092,256,224,4.26,14.4,25.03
tv_resnext50_32x4d,2011.71,127.243,256,224,4.26,14.4,25.03
gluon_resnext50_32x4d,2008.79,127.428,256,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2003.89,127.736,256,224,4.26,14.4,25.03
resnext50_32x4d,2003.33,127.776,256,224,4.26,14.4,25.03
tf_efficientnet_cc_b1_8e,1964.78,130.28,256,240,0.75,15.44,39.72
dla60x,1943.55,131.706,256,224,3.54,13.8,17.35
regnetx_040,1936.18,132.208,256,224,3.99,12.2,22.12
resnext50d_32x4d,1913.78,133.755,256,224,4.5,15.2,25.05
res2net50_26w_4s,1909.57,134.046,256,224,4.28,12.61,25.7
tf_efficientnetv2_b3,1906.95,134.234,256,300,3.04,15.74,14.36
regnety_040,1904.74,134.39,256,224,4.0,12.29,20.65
gcresnet50t,1896.24,134.993,256,256,5.42,14.67,25.9
efficientnetv2_rw_t,1892.3,135.274,256,288,3.19,16.42,13.65
sehalonet33ts,1872.56,136.7,256,256,3.55,14.7,13.69
lambda_resnet26rpt_256,1852.61,138.171,256,256,3.16,11.87,10.99
seresnext50_32x4d,1837.91,139.277,256,224,4.26,14.42,27.56
gcresnext50ts,1836.72,139.369,256,256,3.75,15.46,15.67
dla60_res2net,1835.75,139.44,256,224,4.15,12.34,20.85
gluon_seresnext50_32x4d,1834.84,139.511,256,224,4.26,14.42,27.56
legacy_seresnext50_32x4d,1831.03,139.801,256,224,4.26,14.42,27.56
resnest50d_1s4x24d,1825.82,140.197,256,224,4.43,13.57,25.68
repvgg_b1g4,1816.81,140.887,256,224,8.15,10.64,39.97
densenet169,1814.19,141.099,256,224,3.4,7.3,14.15
gc_efficientnetv2_rw_t,1807.69,141.606,256,288,3.2,16.45,13.68
coat_lite_tiny,1802.74,141.995,256,224,1.6,11.65,5.72
res2net50_14w_8s,1801.06,142.125,256,224,4.21,13.28,25.06
res2next50,1791.13,142.906,256,224,4.2,13.71,24.67
cspdarknet53,1752.54,146.063,256,256,6.57,16.81,27.64
ecaresnet26t,1748.79,146.375,256,320,5.24,16.44,16.01
dla60_res2next,1747.0,146.526,256,224,3.49,13.17,17.03
regnetz_b,1724.41,148.443,256,288,2.39,16.43,9.72
coat_lite_mini,1717.23,149.066,256,224,2.0,12.25,11.01
vgg13,1708.54,149.824,256,224,11.31,12.25,133.05
mixnet_xl,1689.17,151.542,256,224,0.93,14.57,11.9
vit_small_r26_s32_224,1664.97,153.742,256,224,3.56,9.85,36.43
resnetv2_101,1630.91,156.956,256,224,7.83,16.23,44.54
tf_efficientnet_lite3,1624.63,157.563,256,300,1.65,21.85,8.2
gluon_resnet101_v1b,1601.1,159.88,256,224,7.83,16.23,44.55
tv_resnet101,1599.29,160.06,256,224,7.83,16.23,44.55
repvgg_b1,1595.1,160.478,256,224,13.16,10.64,57.42
xcit_tiny_24_p16_224_dist,1586.68,161.331,256,224,2.34,11.82,12.12
xcit_tiny_24_p16_224,1585.43,161.458,256,224,2.34,11.82,12.12
xcit_small_12_p16_224_dist,1555.24,164.59,256,224,4.82,12.58,26.25
lambda_resnet50ts,1554.98,164.616,256,256,5.07,17.48,21.54
xcit_small_12_p16_224,1551.41,164.997,256,224,4.82,12.58,26.25
gluon_resnet101_v1c,1549.68,165.185,256,224,8.08,17.04,44.57
resnest50d,1546.83,165.485,256,224,5.4,14.36,27.48
vgg13_bn,1545.98,165.579,256,224,11.33,12.25,133.05
gluon_resnet101_v1d,1542.35,165.971,256,224,8.08,17.04,44.57
dla102,1540.91,166.124,256,224,7.19,14.18,33.27
twins_svt_small,1527.64,167.568,256,224,2.94,13.75,24.06
wide_resnet50_2,1520.69,168.321,256,224,11.43,14.4,68.88
gmixer_24_224,1499.34,170.73,256,224,5.28,14.45,24.72
resnetv2_50x1_bit_distilled,1491.85,171.586,256,224,4.23,11.11,25.55
regnetx_080,1490.15,171.784,256,224,8.02,14.06,39.57
xcit_nano_12_p16_384_dist,1485.24,172.347,256,384,1.64,12.15,3.05
crossvit_small_240,1471.27,173.987,256,240,5.63,18.17,26.86
legacy_seresnet101,1468.28,174.342,256,224,7.61,15.74,49.33
halonet50ts,1455.95,175.819,256,256,5.3,19.2,22.73
res2net50_26w_6s,1449.56,176.589,256,224,6.33,15.28,37.05
regnetx_064,1419.83,180.292,256,224,6.49,16.37,26.21
densenet201,1416.48,180.718,256,224,4.34,7.85,20.01
resmlp_36_224,1415.51,180.84,256,224,8.91,16.33,44.69
resmlp_36_distilled_224,1415.35,180.86,256,224,8.91,16.33,44.69
gluon_resnet101_v1s,1409.69,181.589,256,224,9.19,18.64,44.67
lamhalobotnet50ts_256,1390.79,184.054,256,256,5.02,18.44,22.57
nf_resnet50,1387.87,184.443,256,288,6.88,18.37,25.56
ecaresnet101d,1376.05,186.03,256,224,8.08,17.07,44.57
vgg16,1375.43,186.112,256,224,15.47,13.56,138.36
hrnet_w18,1354.53,188.983,256,224,4.32,16.31,21.3
regnety_032,1350.9,189.492,256,288,5.29,18.61,19.44
crossvit_15_240,1346.42,190.123,256,240,5.81,19.77,27.53
tresnet_l,1344.95,190.33,256,224,10.88,11.9,55.99
gmlp_s16_224,1341.95,190.757,256,224,4.42,15.1,19.42
tf_efficientnet_b3_ap,1337.77,191.35,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ns,1337.21,191.429,256,300,1.87,23.83,12.23
tf_efficientnet_b3,1336.96,191.464,256,300,1.87,23.83,12.23
resnet51q,1335.36,191.695,256,288,8.07,20.94,35.7
vit_base_patch32_384,1326.76,192.939,256,384,13.06,16.5,88.3
xception,1314.05,194.804,256,299,8.4,35.83,22.86
crossvit_15_dagger_240,1305.29,196.113,256,240,6.13,20.43,28.21
dla102x,1302.51,196.531,256,224,5.89,19.42,26.31
efficientnet_b3,1297.94,197.224,256,320,2.01,26.52,12.23
mixer_b16_224,1285.59,199.119,256,224,12.62,14.53,59.88
mixer_b16_224_miil,1283.81,199.396,256,224,12.62,14.53,59.88
cait_xxs24_224,1283.41,199.457,256,224,2.53,20.29,11.96
skresnext50_32x4d,1277.72,200.346,256,224,4.5,17.18,27.48
regnety_064,1270.37,201.504,256,224,6.39,16.41,30.58
ssl_resnext101_32x4d,1267.29,201.994,256,224,8.01,21.23,44.18
gluon_resnext101_32x4d,1262.61,202.744,256,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1261.41,202.934,256,224,8.01,21.23,44.18
vgg16_bn,1259.82,203.192,256,224,15.5,13.56,138.37
repvgg_b2g4,1250.78,204.659,256,224,12.63,12.9,61.76
halo2botnet50ts_256,1247.07,205.268,256,256,5.02,21.78,22.64
swin_tiny_patch4_window7_224,1247.03,205.273,256,224,4.51,17.06,28.29
twins_pcpvt_small,1237.18,206.911,256,224,3.83,18.08,24.11
regnety_080,1231.05,207.941,256,224,8.0,17.97,39.18
resnest50d_4s2x40d,1214.34,210.797,256,224,4.4,17.94,30.42
resnet61q,1207.53,211.987,256,288,9.87,21.52,36.85
eca_nfnet_l0,1191.71,214.805,256,288,7.12,17.29,24.14
nfnet_l0,1190.26,215.067,256,288,7.13,17.29,35.07
res2net101_26w_4s,1183.89,216.22,256,224,8.1,18.45,45.21
dpn92,1178.74,217.169,256,224,6.54,18.21,37.67
res2net50_26w_8s,1178.7,217.174,256,224,8.37,17.95,48.4
vit_tiny_patch16_384,1172.78,218.271,256,384,4.7,25.39,5.79
convit_small,1169.52,218.881,256,224,5.76,17.87,27.78
vgg19,1152.13,222.185,256,224,19.63,14.86,143.67
gluon_seresnext101_32x4d,1150.11,222.576,256,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1149.76,222.644,256,224,8.02,21.26,48.96
hrnet_w32,1142.24,224.109,256,224,8.97,22.02,41.23
xcit_nano_12_p8_224,1127.98,226.94,256,224,2.16,15.71,3.05
xcit_nano_12_p8_224_dist,1127.81,226.974,256,224,2.16,15.71,3.05
hrnet_w30,1123.84,227.778,256,224,8.15,21.21,37.71
tv_resnet152,1116.24,229.331,256,224,11.56,22.56,60.19
gluon_resnet152_v1b,1115.71,229.44,256,224,11.56,22.56,60.19
ecaresnet50t,1110.54,230.506,256,320,8.82,24.13,25.57
regnetz_c,1099.38,232.841,256,320,3.92,25.88,13.46
gluon_resnet152_v1c,1090.66,234.708,256,224,11.8,23.36,60.21
gluon_resnet152_v1d,1087.27,235.441,256,224,11.8,23.36,60.21
repvgg_b2,1087.24,235.444,256,224,20.45,12.9,89.02
xception41,1068.11,239.655,256,299,9.28,39.86,26.97
densenet161,1067.45,239.812,256,224,7.79,11.06,28.68
vgg19_bn,1061.8,241.089,256,224,19.66,14.86,143.68
inception_v4,1057.29,242.117,256,299,12.28,15.09,42.68
convmixer_1024_20_ks9_p14,1048.55,244.135,256,224,5.55,5.51,24.38
dla169,1043.9,245.223,256,224,11.6,20.2,53.39
xcit_tiny_12_p16_384_dist,1041.14,245.869,256,384,3.64,18.26,6.72
regnetx_120,1028.54,248.883,256,224,12.13,21.37,46.11
gluon_resnet152_v1s,1019.74,251.033,256,224,12.92,24.96,60.32
coat_lite_small,1019.01,251.211,256,224,3.96,22.09,19.84
vit_base_patch16_224_miil,1015.29,252.134,256,224,17.58,23.9,86.54
legacy_seresnet152,1014.16,252.414,256,224,11.33,22.08,66.82
repvgg_b3g4,1009.72,253.523,256,224,17.89,15.1,83.83
jx_nest_tiny,1009.0,253.705,256,224,5.83,25.48,17.06
crossvit_18_240,995.7,257.092,256,240,9.05,26.26,43.27
vit_base_patch16_224,987.74,259.165,256,224,17.58,23.9,86.57
vit_base_patch16_sam_224,983.41,260.307,256,224,17.58,23.9,86.57
tresnet_xl,983.24,260.352,256,224,15.17,15.34,78.44
deit_base_patch16_224,981.95,260.694,256,224,17.58,23.9,86.57
regnety_120,981.03,260.937,256,224,12.14,21.38,51.82
deit_base_distilled_patch16_224,972.1,263.335,256,224,17.68,24.05,87.34
crossvit_18_dagger_240,968.8,264.234,256,240,9.5,27.03,44.27
efficientnet_el_pruned,927.76,275.921,256,300,8.0,30.7,10.59
efficientnet_el,927.59,275.971,256,300,8.0,30.7,10.59
tf_efficientnet_el,908.45,281.783,256,300,8.0,30.7,10.59
beit_base_patch16_224,907.03,282.225,256,224,17.58,23.9,86.53
dm_nfnet_f0,906.74,282.318,256,256,12.62,18.05,71.49
beit_base_patch16_224_in22k,904.43,283.033,256,224,17.6,23.92,102.56
twins_pcpvt_base,903.59,283.303,256,224,6.68,25.25,43.83
dla102x2,892.39,286.858,256,224,9.34,29.91,41.28
twins_svt_base,884.1,289.548,256,224,8.59,26.33,56.07
wide_resnet101_2,879.83,290.95,256,224,22.8,21.23,126.89
tf_efficientnetv2_s_in21ft1k,867.65,295.037,256,384,8.44,35.77,21.46
tf_efficientnetv2_s,866.61,295.392,256,384,8.44,35.77,21.46
cait_xxs36_224,864.05,296.268,256,224,3.77,30.34,17.3
resnetrs101,850.72,300.905,256,288,13.56,28.53,63.62
repvgg_b3,845.91,302.619,256,224,29.16,15.1,123.09
efficientnetv2_rw_s,844.69,303.059,256,384,8.72,38.03,23.94
dpn98,840.2,304.675,256,224,11.73,25.2,61.57
pit_b_distilled_224,838.63,305.249,256,224,12.5,33.07,74.79
pit_b_224,837.02,305.836,256,224,12.42,32.94,73.76
ens_adv_inception_resnet_v2,834.35,306.814,256,299,13.18,25.06,55.84
regnetx_160,833.02,307.301,256,224,15.99,25.52,54.28
inception_resnet_v2,832.69,307.427,256,299,13.18,25.06,55.84
xcit_small_24_p16_224_dist,830.32,308.297,256,224,9.1,23.64,47.67
xcit_small_24_p16_224,828.74,308.886,256,224,9.1,23.64,47.67
swin_small_patch4_window7_224,809.9,316.074,256,224,8.77,27.47,49.61
gluon_resnext101_64x4d,803.65,318.536,256,224,15.52,31.21,83.46
xcit_tiny_12_p8_224_dist,791.87,323.27,256,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,791.64,323.364,256,224,4.81,23.6,6.71
gluon_xception65,784.11,326.474,256,299,13.96,52.48,39.92
xception65,777.91,329.074,256,299,13.96,52.48,39.92
resnet101d,776.37,329.723,256,320,16.48,34.77,44.57
ig_resnext101_32x8d,775.21,330.222,256,224,16.48,31.21,88.79
swsl_resnext101_32x8d,773.83,330.808,256,224,16.48,31.21,88.79
resnext101_32x8d,773.08,331.13,256,224,16.48,31.21,88.79
ssl_resnext101_32x8d,769.28,332.765,256,224,16.48,31.21,88.79
tf_efficientnet_lite4,764.13,335.01,256,380,4.04,45.66,13.01
hrnet_w40,760.18,336.752,256,224,12.75,25.29,57.56
gluon_seresnext101_64x4d,756.43,338.418,256,224,15.53,31.25,88.23
resnest101e,755.07,339.024,256,256,13.38,28.66,48.28
hrnet_w48,716.4,357.329,256,224,17.34,28.56,77.47
cait_s24_224,714.86,358.098,256,224,9.35,40.58,46.92
tresnet_m_448,713.55,358.758,256,448,22.94,29.21,31.39
coat_tiny,707.04,362.062,256,224,4.35,27.2,5.5
regnetz_d,704.94,363.138,256,320,9.33,37.08,27.58
hrnet_w44,702.53,364.385,256,224,14.94,26.92,67.06
vit_large_r50_s32_224,680.11,376.394,256,224,19.58,24.41,328.99
jx_nest_small,676.97,378.142,256,224,10.35,40.04,38.35
twins_svt_large,673.22,380.252,256,224,15.15,35.1,99.27
crossvit_base_240,671.16,381.416,256,240,21.22,36.33,105.03
efficientnet_b4,667.18,383.692,256,384,4.51,50.04,19.34
twins_pcpvt_large,657.69,389.226,256,224,9.84,35.82,60.99
tf_efficientnet_b4,637.24,401.719,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,636.68,402.068,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,636.62,402.109,256,380,4.49,49.49,19.34
convit_base,621.76,411.725,256,224,17.52,31.77,86.54
dpn131,619.15,413.454,256,224,16.09,32.97,79.25
swin_base_patch4_window7_224,617.4,414.625,256,224,15.47,36.63,87.77
swin_base_patch4_window7_224_in22k,616.51,415.228,256,224,15.49,36.65,109.13
xcit_medium_24_p16_224_dist,613.3,417.401,256,224,16.13,31.71,84.4
xcit_medium_24_p16_224,612.89,417.675,256,224,16.13,31.71,84.4
vit_small_patch16_384,594.17,430.838,256,384,15.52,50.78,22.2
coat_mini,592.46,432.084,256,224,6.82,33.68,10.34
xception71,590.14,433.78,256,299,18.09,69.92,42.34
vit_small_r26_s32_384,574.75,445.396,256,384,10.43,29.85,36.47
hrnet_w64,570.22,448.937,256,224,28.97,35.09,128.06
dpn107,566.19,452.128,256,224,18.38,33.46,86.92
eca_nfnet_l1,559.71,457.367,256,320,14.92,34.42,41.41
gluon_senet154,559.51,457.529,256,224,20.77,38.69,115.09
legacy_senet154,558.72,458.178,256,224,20.77,38.69,115.09
xcit_tiny_24_p16_384_dist,556.09,460.342,256,384,6.87,34.29,12.12
xcit_small_12_p16_384_dist,546.87,468.099,256,384,14.14,36.51,26.25
resnet152d,546.29,468.597,256,320,24.08,47.67,60.21
regnety_320,522.26,490.163,256,224,32.34,30.26,145.05
jx_nest_base,511.39,500.584,256,224,17.96,53.39,67.72
regnety_160,509.43,502.501,256,288,26.37,38.07,83.59
tnt_s_patch16_224,497.77,514.282,256,224,5.24,24.37,23.76
seresnet152d,489.63,522.829,256,320,24.09,47.72,66.84
resnetrs152,483.98,528.928,256,320,24.34,48.14,86.62
regnetx_320,460.34,556.1,256,224,31.81,36.3,107.81
vit_large_patch32_384,457.67,559.348,256,384,45.31,43.86,306.63
mixer_l16_224,429.82,595.582,256,224,44.6,41.69,208.2
xcit_tiny_24_p8_224,417.75,612.797,256,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,417.56,613.068,256,224,9.21,45.39,12.11
xcit_small_12_p8_224,416.17,615.111,256,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,415.93,615.473,256,224,18.69,47.21,26.21
efficientnetv2_rw_m,404.25,633.263,256,416,21.49,79.62,53.24
resnet200d,391.43,653.991,256,320,31.25,67.33,64.69
resnetv2_50x1_bitm,388.67,658.636,256,448,16.62,44.46,25.55
xcit_nano_12_p8_384_dist,387.79,660.138,256,384,6.34,46.08,3.05
swin_large_patch4_window7_224,385.11,664.722,256,224,34.53,54.94,196.53
swin_large_patch4_window7_224_in22k,384.77,665.318,256,224,34.56,54.96,228.57
xcit_large_24_p16_224,374.96,682.722,256,224,35.86,47.27,189.1
xcit_large_24_p16_224_dist,374.65,683.281,256,224,35.86,47.27,189.1
ssl_resnext101_32x16d,366.28,698.897,256,224,36.27,51.18,194.03
ig_resnext101_32x16d,365.74,699.945,256,224,36.27,51.18,194.03
swsl_resnext101_32x16d,365.46,700.478,256,224,36.27,51.18,194.03
tresnet_l_448,350.13,731.146,256,448,43.5,47.56,55.99
resnetrs200,346.06,739.735,256,320,31.51,67.81,93.21
tf_efficientnetv2_m,339.58,753.868,256,480,24.76,89.84,54.14
tf_efficientnetv2_m_in21ft1k,339.57,753.879,256,480,24.76,89.84,54.14
vit_large_patch16_224,332.37,770.202,256,224,61.6,63.52,304.33
dm_nfnet_f1,329.67,776.526,256,320,35.97,46.77,132.63
tf_efficientnet_b5,319.74,800.623,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,319.51,801.207,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ns,319.48,801.287,256,456,10.46,98.86,30.39
crossvit_15_dagger_408,308.22,830.557,256,408,21.45,95.05,28.5
beit_large_patch16_224,304.41,840.964,256,224,61.6,63.52,304.43
beit_large_patch16_224_in22k,303.89,842.402,256,224,61.62,63.54,325.79
xcit_small_24_p16_384_dist,291.33,878.717,256,384,26.72,68.58,47.67
convmixer_768_32,284.41,900.105,256,224,19.55,25.95,21.11
eca_nfnet_l2,277.7,921.837,256,384,30.05,68.28,56.72
resnetv2_152x2_bit_teacher,272.08,940.888,256,224,46.95,45.11,236.34
xcit_tiny_12_p8_384_dist,271.29,943.618,256,384,14.13,69.14,6.71
tresnet_xl_448,265.72,963.421,256,448,60.65,61.31,78.44
vit_base_patch16_384,260.82,981.51,256,384,55.54,101.56,86.86
deit_base_patch16_384,260.27,983.563,256,384,55.54,101.56,86.86
resnest200e,257.06,995.856,256,320,35.69,82.78,70.2
deit_base_distilled_patch16_384,256.78,996.936,256,384,55.65,101.82,87.63
resnetv2_101x1_bitm,243.19,1052.661,256,448,31.65,64.93,44.54
cait_xxs24_384,238.44,1073.626,256,384,9.63,122.66,12.03
ecaresnet269d,229.27,1116.568,256,352,50.25,101.25,102.09
crossvit_18_dagger_408,229.17,558.535,128,408,32.47,124.87,44.61
vit_large_r50_s32_384,229.1,1117.419,256,384,57.43,76.52,329.09
nasnetalarge,226.47,1130.365,256,331,23.89,90.56,88.75
pnasnet5large,225.65,1134.478,256,331,25.04,92.89,86.06
beit_base_patch16_384,223.91,1143.322,256,384,55.54,101.56,86.74
resnetrs270,222.05,1152.857,256,352,51.13,105.48,129.86
xcit_small_24_p8_224,218.32,1172.571,256,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,218.2,1173.193,256,224,35.81,90.78,47.63
xcit_medium_24_p16_384_dist,212.67,1203.725,256,384,47.39,91.64,84.4
resmlp_big_24_224,199.99,1280.033,256,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,199.55,1282.862,256,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,199.5,1283.208,256,224,100.23,87.31,129.14
tf_efficientnetv2_l,196.16,1305.054,256,480,56.4,157.99,118.52
tf_efficientnetv2_l_in21ft1k,195.97,1306.333,256,480,56.4,157.99,118.52
dm_nfnet_f2,187.32,1366.603,256,352,63.22,79.06,193.78
tf_efficientnet_b6_ns,184.64,693.239,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ap,184.63,693.254,128,528,19.4,167.39,43.04
tf_efficientnet_b6,184.56,693.543,128,528,19.4,167.39,43.04
swin_base_patch4_window12_384,172.29,742.9,128,384,47.19,134.78,87.9
swin_base_patch4_window12_384_in22k,172.09,743.782,128,384,47.21,134.8,109.27
cait_xs24_384,168.76,1516.911,256,384,19.28,183.98,26.67
vit_base_r50_s16_384,164.61,1555.149,256,384,67.43,135.03,98.95
convmixer_1536_20,163.58,1564.936,256,224,48.68,33.03,51.63
cait_xxs36_384,159.38,1606.206,256,384,14.35,183.7,17.37
xcit_medium_24_p8_224,158.47,1615.434,256,224,63.53,121.23,84.32
xcit_medium_24_p8_224_dist,158.47,1615.404,256,224,63.53,121.23,84.32
resnetrs350,147.45,1736.143,256,384,77.59,154.74,163.96
ig_resnext101_32x32d,144.94,1766.221,256,224,87.29,91.12,468.53
xcit_tiny_24_p8_384_dist,140.02,1828.249,256,384,27.05,132.95,12.11
xcit_small_12_p8_384_dist,138.32,1850.769,256,384,54.92,138.29,26.21
cait_s24_384,130.37,1963.692,256,384,32.17,245.31,47.06
xcit_large_24_p16_384_dist,128.67,1989.551,256,384,105.35,137.17,189.1
tf_efficientnetv2_xl_in21ft1k,125.28,2043.358,256,512,93.85,247.32,208.12
resnest269e,119.95,2134.143,256,416,77.69,171.98,110.93
swin_large_patch4_window12_384,108.71,1177.454,128,384,104.08,202.16,196.74
swin_large_patch4_window12_384_in22k,108.63,1178.305,128,384,104.11,202.18,228.77
resnetrs420,107.0,2392.495,256,416,108.45,213.79,191.89
tf_efficientnet_b7_ns,106.07,603.375,64,600,38.33,289.94,66.35
tf_efficientnet_b7_ap,105.98,603.889,64,600,38.33,289.94,66.35
tf_efficientnet_b7,105.95,604.03,64,600,38.33,289.94,66.35
dm_nfnet_f3,102.63,2494.386,256,416,115.58,141.78,254.92
xcit_large_24_p8_224,95.99,2666.968,256,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,95.77,2673.153,256,224,141.23,181.56,188.93
resnetv2_152x2_bit_teacher_384,94.95,2696.08,256,384,136.16,132.56,236.34
resnetv2_50x3_bitm,93.71,1365.901,128,448,145.7,133.37,217.32
vit_large_patch16_384,89.71,2853.476,256,384,191.21,270.24,304.72
cait_s36_384,87.22,2935.166,256,384,47.99,367.4,68.37
ig_resnext101_32x48d,85.91,1489.933,128,224,153.57,131.06,828.41
beit_large_patch16_384,77.75,3292.734,256,384,191.21,270.24,305.0
xcit_small_24_p8_384_dist,72.45,3533.673,256,384,105.24,265.91,47.63
resnetv2_152x2_bitm,69.73,1835.714,128,448,184.99,180.43,236.34
tf_efficientnet_b8,66.92,956.333,64,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,66.91,956.434,64,672,63.48,442.89,87.41
dm_nfnet_f4,57.01,4490.519,256,512,216.26,262.26,316.07
resnetv2_101x3_bitm,56.17,2278.772,128,448,280.33,194.78,387.93
xcit_medium_24_p8_384_dist,53.81,4757.31,256,384,186.67,354.73,84.32
dm_nfnet_f5,41.46,6174.452,256,544,290.97,349.71,377.21
tf_efficientnet_l2_ns_475,38.52,1661.585,64,475,172.11,609.89,480.31
xcit_large_24_p8_384_dist,32.44,7891.525,256,384,415.0,531.82,188.93
beit_large_patch16_512,31.38,2039.285,64,512,362.24,656.39,305.67
cait_m36_384,30.16,8488.214,256,384,173.11,734.81,271.22
dm_nfnet_f6,30.03,8525.766,256,576,378.69,452.2,438.36
resnetv2_152x4_bitm,18.21,3515.177,64,480,844.84,414.26,936.53
tf_efficientnet_l2_ns,13.56,1770.059,24,800,479.12,1707.39,480.31
cait_m48_448,13.08,9784.533,128,448,329.41,1708.23,356.46