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
tinynet_e,38522.1,6.633,256,106,0.03,0.69,2.04
mobilenetv3_small_050,32214.84,7.935,256,224,0.03,0.92,1.59
lcnet_035,31434.42,8.133,256,224,0.03,1.04,1.64
lcnet_050,27990.74,9.135,256,224,0.05,1.26,1.88
tf_mobilenetv3_small_minimal_100,24613.65,10.389,256,224,0.06,1.41,2.04
mobilenetv3_small_075,23970.62,10.668,256,224,0.05,1.3,2.04
tinynet_d,22226.54,11.506,256,152,0.05,1.42,2.34
mobilenetv3_small_100,20961.66,12.202,256,224,0.06,1.42,2.54
tf_mobilenetv3_small_075,20346.43,12.57,256,224,0.05,1.3,2.04
tf_mobilenetv3_small_100,18514.72,13.814,256,224,0.06,1.42,2.54
lcnet_075,18250.57,14.016,256,224,0.1,1.99,2.36
levit_128s,17514.74,14.605,256,224,0.31,1.88,7.78
mnasnet_small,16174.2,15.817,256,224,0.07,2.16,2.03
mobilenetv2_035,16065.18,15.924,256,224,0.07,2.86,1.68
regnetx_002,15056.58,16.991,256,224,0.2,2.16,2.68
ghostnet_050,14915.33,17.152,256,224,0.05,1.77,2.59
lcnet_100,14745.93,17.35,256,224,0.16,2.52,2.95
regnety_002,13600.49,18.812,256,224,0.2,2.17,3.16
mobilenetv2_050,12921.59,19.8,256,224,0.1,3.64,1.97
mnasnet_050,12170.95,21.022,256,224,0.11,3.07,2.22
levit_128,12112.09,21.125,256,224,0.41,2.71,9.21
semnasnet_050,11653.92,21.956,256,224,0.11,3.44,2.08
tinynet_c,11441.66,22.362,256,184,0.11,2.87,2.46
levit_192,10512.15,24.341,256,224,0.66,3.2,10.95
gernet_s,10252.23,24.96,256,224,0.75,2.65,8.17
mixer_s32_224,9991.39,25.611,256,224,1.0,2.28,19.1
mobilenetv3_large_075,9848.53,25.983,256,224,0.16,4.0,3.99
ese_vovnet19b_slim_dw,9567.57,26.746,256,224,0.4,5.28,1.9
lcnet_150,9561.66,26.763,256,224,0.34,3.79,4.5
vit_small_patch32_224,9406.05,27.206,256,224,1.15,2.5,22.88
regnetx_004,9291.08,27.542,256,224,0.4,3.14,5.16
tf_mobilenetv3_large_minimal_100,9242.84,27.684,256,224,0.22,4.4,3.92
tf_mobilenetv3_large_075,8812.22,29.037,256,224,0.16,4.0,3.99
mobilenetv3_rw,8698.97,29.417,256,224,0.23,4.41,5.48
vit_tiny_r_s16_p8_224,8636.97,29.629,256,224,0.44,2.06,6.34
mobilenetv3_large_100,8617.52,29.696,256,224,0.23,4.41,5.48
mobilenetv3_large_100_miil,8613.51,29.709,256,224,0.23,4.41,5.48
ssl_resnet18,8520.11,30.036,256,224,1.82,2.48,11.69
gluon_resnet18_v1b,8514.08,30.057,256,224,1.82,2.48,11.69
resnet18,8481.72,30.171,256,224,1.82,2.48,11.69
swsl_resnet18,8383.36,30.526,256,224,1.82,2.48,11.69
ghostnet_100,8302.41,30.823,256,224,0.15,3.55,5.18
mobilenetv2_075,8284.54,30.89,256,224,0.22,5.86,2.64
mnasnet_075,8193.74,31.233,256,224,0.23,4.77,3.17
seresnet18,7935.21,32.25,256,224,1.82,2.49,11.78
levit_256,7830.25,32.682,256,224,1.13,4.23,18.89
tf_mobilenetv3_large_100,7782.64,32.881,256,224,0.23,4.41,5.48
legacy_seresnet18,7750.12,33.02,256,224,1.82,2.49,11.78
regnetx_006,7679.18,33.326,256,224,0.61,3.98,6.2
semnasnet_075,7673.81,33.35,256,224,0.23,5.54,2.91
mobilenetv2_100,7580.19,33.761,256,224,0.31,6.68,3.5
regnety_004,7520.0,34.031,256,224,0.41,3.89,4.34
tinynet_b,7462.13,34.294,256,188,0.21,4.44,3.73
hardcorenas_a,7310.63,35.006,256,224,0.23,4.38,5.26
hardcorenas_b,7243.65,35.33,256,224,0.26,5.09,5.18
mnasnet_100,7211.43,35.488,256,224,0.33,5.46,4.38
mnasnet_b1,7197.57,35.556,256,224,0.33,5.46,4.38
resnet18d,7139.78,35.845,256,224,2.06,3.29,11.71
mnasnet_a1,6803.23,37.618,256,224,0.32,6.23,3.89
ghostnet_130,6799.96,37.636,256,224,0.24,4.6,7.36
semnasnet_100,6798.37,37.645,256,224,0.32,6.23,3.89
hardcorenas_c,6791.21,37.684,256,224,0.28,5.01,5.52
spnasnet_100,6742.99,37.955,256,224,0.35,6.03,4.42
regnety_006,6741.6,37.962,256,224,0.61,4.33,6.06
ese_vovnet19b_slim,6727.44,38.04,256,224,1.69,3.52,3.17
hardcorenas_d,6616.74,38.678,256,224,0.3,4.93,7.5
tf_efficientnetv2_b0,6404.53,39.959,256,224,0.73,4.77,7.14
regnetx_008,6126.62,41.774,256,224,0.81,5.15,7.26
efficientnet_lite0,5820.53,43.971,256,224,0.4,6.74,4.65
dla46_c,5815.5,44.006,256,224,0.58,4.5,1.3
resnetblur18,5731.2,44.657,256,224,2.34,3.39,11.69
mobilenetv2_110d,5728.31,44.679,256,224,0.45,8.71,4.52
tinynet_a,5715.04,44.781,256,192,0.35,5.41,6.19
rexnet_100,5705.81,44.855,256,224,0.41,7.44,4.8
rexnetr_100,5702.38,44.882,256,224,0.43,7.72,4.88
hardcorenas_f,5633.4,45.432,256,224,0.35,5.57,8.2
regnety_008,5562.41,46.011,256,224,0.81,5.25,6.26
hardcorenas_e,5407.35,47.331,256,224,0.35,5.65,8.07
fbnetc_100,5335.41,47.97,256,224,0.4,6.51,5.57
skresnet18,5314.32,48.161,256,224,1.82,3.24,11.96
tf_efficientnet_lite0,5277.93,48.492,256,224,0.4,6.74,4.65
efficientnet_b0,5118.94,50.0,256,224,0.4,6.75,5.29
mobilenetv2_140,5111.46,50.073,256,224,0.6,9.57,6.11
ese_vovnet19b_dw,5070.62,50.475,256,224,1.34,8.25,6.54
mnasnet_140,5006.18,51.125,256,224,0.6,7.71,7.12
efficientnet_b1_pruned,5001.01,51.178,256,240,0.4,6.21,6.33
resnet34,4971.16,51.486,256,224,3.67,3.74,21.8
gluon_resnet34_v1b,4968.4,51.515,256,224,3.67,3.74,21.8
tv_resnet34,4947.3,51.734,256,224,3.67,3.74,21.8
visformer_tiny,4922.23,51.997,256,224,1.27,5.72,10.32
hrnet_w18_small,4823.01,53.067,256,224,1.61,5.72,13.19
semnasnet_140,4792.63,53.404,256,224,0.6,8.87,6.11
levit_384,4732.88,54.078,256,224,2.36,6.26,39.13
tf_efficientnet_b0_ns,4689.2,54.583,256,224,0.4,6.75,5.29
tf_efficientnet_b0_ap,4677.78,54.715,256,224,0.4,6.75,5.29
tf_efficientnet_b0,4677.33,54.72,256,224,0.4,6.75,5.29
seresnet34,4638.93,55.174,256,224,3.67,3.74,21.96
selecsls42b,4636.17,55.206,256,224,2.98,4.62,32.46
dla46x_c,4631.52,55.26,256,224,0.54,5.66,1.07
selecsls42,4604.3,55.589,256,224,2.94,4.62,30.35
deit_tiny_patch16_224,4580.12,55.882,256,224,1.26,5.97,5.72
vit_tiny_patch16_224,4575.68,55.937,256,224,1.26,5.97,5.72
gernet_m,4537.32,56.41,256,224,3.02,5.24,21.14
deit_tiny_distilled_patch16_224,4513.87,56.702,256,224,1.27,6.01,5.91
nf_regnet_b0,4512.73,56.717,256,256,0.64,5.58,8.76
legacy_seresnet34,4498.05,56.902,256,224,3.67,3.74,21.96
resnet34d,4471.13,57.245,256,224,3.91,4.54,21.82
rexnetr_130,4425.1,57.84,256,224,0.68,9.81,7.61
pit_ti_distilled_224,4357.18,58.742,256,224,0.71,6.23,5.1
pit_ti_224,4345.5,58.9,256,224,0.7,6.19,4.85
mixnet_s,4322.59,59.212,256,224,0.25,6.25,4.13
dla60x_c,4316.36,59.296,256,224,0.59,6.01,1.32
tf_efficientnetv2_b1,4297.02,59.563,256,240,1.21,7.34,8.14
rexnet_130,4232.23,60.476,256,224,0.68,9.71,7.56
xcit_nano_12_p16_224_dist,4222.67,60.614,256,224,0.56,4.17,3.05
xcit_nano_12_p16_224,4207.85,60.827,256,224,0.56,4.17,3.05
resnet26,4180.52,61.224,256,224,2.36,7.35,16.0
resmlp_12_distilled_224,4174.74,61.31,256,224,3.01,5.5,15.35
resmlp_12_224,4169.39,61.389,256,224,3.01,5.5,15.35
mobilenetv2_120d,4149.08,61.689,256,224,0.69,11.97,5.83
vit_base_patch32_224_sam,4128.66,61.994,256,224,4.41,5.01,88.22
vit_base_patch32_224,4107.27,62.317,256,224,4.41,5.01,88.22
tf_mixnet_s,4070.89,62.873,256,224,0.25,6.25,4.13
repvgg_b0,4034.35,63.443,256,224,3.41,6.15,15.82
mixer_b32_224,3992.12,64.115,256,224,3.24,6.29,60.29
selecsls60,3976.19,64.371,256,224,3.59,5.52,30.67
selecsls60b,3972.94,64.425,256,224,3.63,5.52,32.77
rexnetr_150,3836.3,66.719,256,224,0.89,11.13,9.78
efficientnet_lite1,3836.28,66.719,256,240,0.62,10.14,5.42
resnet26d,3798.91,67.377,256,224,2.6,8.15,16.01
dla34,3769.64,67.899,256,224,3.07,5.02,15.74
rexnet_150,3681.94,69.516,256,224,0.9,11.21,9.73
ecaresnet50d_pruned,3648.06,70.162,256,224,2.53,6.43,19.94
nf_resnet26,3644.75,70.227,256,224,2.41,7.35,16.0
tf_efficientnet_lite1,3554.59,72.006,256,240,0.62,10.14,5.42
pit_xs_224,3526.31,72.586,256,224,1.4,7.71,10.62
regnetx_016,3513.85,72.844,256,224,1.62,7.93,9.19
pit_xs_distilled_224,3500.42,73.123,256,224,1.41,7.76,11.0
fbnetv3_d,3391.58,75.47,256,256,0.68,11.1,10.31
efficientnet_es_pruned,3370.79,75.934,256,224,1.81,8.73,5.44
fbnetv3_b,3370.57,75.939,256,256,0.55,9.1,8.6
efficientnet_es,3367.33,76.013,256,224,1.81,8.73,5.44
efficientnet_b2_pruned,3361.3,76.15,256,260,0.73,9.13,8.31
efficientnet_cc_b0_8e,3277.21,78.103,256,224,0.42,9.42,24.01
mixer_s16_224,3266.14,78.369,256,224,3.79,5.97,18.53
efficientnet_cc_b0_4e,3265.3,78.389,256,224,0.41,9.42,13.31
tf_efficientnet_es,3259.95,78.516,256,224,1.81,8.73,5.44
tf_efficientnetv2_b2,3255.37,78.626,256,260,1.72,9.84,10.1
resnest14d,3217.37,79.556,256,224,2.76,7.33,10.61
nf_seresnet26,3202.97,79.914,256,224,2.41,7.36,17.4
nf_ecaresnet26,3189.01,80.265,256,224,2.41,7.36,16.0
gernet_l,3181.93,80.443,256,256,4.57,8.0,31.08
regnety_016,3102.97,82.489,256,224,1.63,8.04,11.2
tf_efficientnet_cc_b0_8e,3093.44,82.743,256,224,0.42,9.42,24.01
tf_efficientnet_cc_b0_4e,3085.55,82.954,256,224,0.41,9.42,13.31
mixnet_m,3056.44,83.746,256,224,0.36,8.19,5.01
skresnet34,3030.56,84.459,256,224,3.67,5.13,22.28
resnext26ts,3023.16,84.668,256,256,2.43,10.52,10.3
repvgg_a2,3004.59,85.192,256,224,5.7,6.26,28.21
vit_tiny_r_s16_p8_384,3002.92,85.238,256,384,1.34,6.49,6.36
legacy_seresnext26_32x4d,3001.06,85.291,256,224,2.49,9.39,16.79
vit_small_patch32_384,2997.9,85.382,256,384,3.45,8.25,22.92
xcit_tiny_12_p16_224_dist,2978.68,85.929,256,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,2968.51,86.225,256,224,1.24,6.29,6.72
resnet26t,2964.54,86.343,256,256,3.35,10.52,16.01
gmixer_12_224,2952.25,86.702,256,224,2.67,7.26,12.7
seresnext26ts,2943.83,86.951,256,256,2.43,10.52,10.39
eca_resnext26ts,2943.35,86.964,256,256,2.43,10.52,10.3
efficientnet_lite2,2941.13,87.03,256,260,0.89,12.9,6.09
tf_efficientnet_b1_ap,2928.7,87.399,256,240,0.71,10.88,7.79
tf_efficientnet_b1,2924.32,87.53,256,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,2924.08,87.537,256,240,0.71,10.88,7.79
tf_mixnet_m,2922.35,87.587,256,224,0.36,8.19,5.01
gcresnext26ts,2878.37,88.928,256,256,2.43,10.53,10.48
efficientnet_b1,2842.35,90.055,256,256,0.77,12.22,7.79
ecaresnet101d_pruned,2827.84,90.516,256,224,3.48,7.69,24.88
seresnext26tn_32x4d,2809.03,91.123,256,224,2.7,10.09,16.81
ecaresnext50t_32x4d,2808.18,91.151,256,224,2.7,10.09,15.41
seresnext26t_32x4d,2807.76,91.164,256,224,2.7,10.09,16.81
ecaresnext26t_32x4d,2799.26,91.441,256,224,2.7,10.09,15.41
seresnext26d_32x4d,2790.46,91.729,256,224,2.73,10.19,16.81
ecaresnetlight,2759.56,92.757,256,224,4.11,8.42,30.16
rexnetr_200,2747.9,93.151,256,224,1.59,15.11,16.52
nf_regnet_b2,2743.38,93.303,256,272,1.22,9.27,14.31
tf_efficientnet_lite2,2742.42,93.334,256,260,0.89,12.9,6.09
nf_regnet_b1,2740.87,93.389,256,288,1.02,9.2,10.22
crossvit_tiny_240,2729.62,93.771,256,240,1.57,9.08,7.01
resnetv2_50,2688.33,95.214,256,224,4.11,11.11,25.55
rexnet_200,2686.43,95.282,256,224,1.56,14.91,16.37
crossvit_9_240,2684.97,95.332,256,240,1.85,9.52,8.55
eca_botnext26ts_256,2675.06,95.687,256,256,2.46,11.6,10.59
vgg11,2663.05,96.12,256,224,7.61,7.44,132.86
botnet26t_256,2660.83,96.197,256,256,3.32,11.98,12.49
tresnet_m,2657.08,96.334,256,224,5.74,7.31,31.39
eca_halonext26ts,2619.52,97.716,256,256,2.44,11.46,10.76
halonet26t,2612.17,97.992,256,256,3.19,11.69,12.48
crossvit_9_dagger_240,2602.86,98.339,256,240,1.99,9.97,8.78
efficientnet_b3_pruned,2602.84,98.342,256,300,1.04,11.86,9.86
resnet50,2602.03,98.373,256,224,4.11,11.11,25.56
tv_resnet50,2597.64,98.539,256,224,4.11,11.11,25.56
gluon_resnet50_v1b,2593.37,98.702,256,224,4.11,11.11,25.56
ssl_resnet50,2588.68,98.881,256,224,4.11,11.11,25.56
swsl_resnet50,2588.5,98.887,256,224,4.11,11.11,25.56
convit_tiny,2557.96,100.066,256,224,1.26,7.94,5.71
vovnet39a,2552.48,100.283,256,224,7.09,6.73,22.6
resnetv2_50t,2536.73,100.905,256,224,4.32,11.82,25.57
resnetv2_50d,2523.31,101.442,256,224,4.35,11.92,25.57
resnet32ts,2520.72,101.547,256,256,4.63,11.58,17.96
resnet33ts,2487.04,102.921,256,256,4.76,11.66,19.68
bat_resnext26ts,2486.58,102.938,256,256,2.53,12.51,10.73
vit_small_resnet26d_224,2484.66,103.019,256,224,5.07,11.12,63.61
ese_vovnet39b,2483.84,103.055,256,224,7.09,6.74,24.57
cspresnet50,2476.24,103.369,256,256,4.54,11.5,21.62
eca_vovnet39b,2474.83,103.43,256,224,7.09,6.74,22.6
hrnet_w18_small_v2,2473.49,103.485,256,224,2.62,9.65,15.6
gluon_resnet50_v1c,2461.53,103.989,256,224,4.35,11.92,25.58
cspresnext50,2459.33,104.08,256,224,3.1,12.14,20.57
resnet50t,2452.68,104.364,256,224,4.32,11.82,25.57
gluon_resnet50_v1d,2447.81,104.572,256,224,4.35,11.92,25.58
resnet50d,2444.17,104.728,256,224,4.35,11.92,25.58
dpn68b,2437.01,105.034,256,224,2.35,10.47,12.61
legacy_seresnet50,2425.37,105.54,256,224,3.88,10.6,28.09
gmlp_ti16_224,2422.83,105.65,256,224,1.34,7.55,5.87
seresnet33ts,2418.32,105.847,256,256,4.76,11.66,19.78
eca_resnet33ts,2414.21,106.028,256,256,4.76,11.66,19.68
dpn68,2412.98,106.079,256,224,2.35,10.47,12.61
selecsls84,2409.11,106.251,256,224,5.9,7.57,50.95
vgg11_bn,2392.35,106.996,256,224,7.62,7.44,132.87
mixnet_l,2360.8,108.426,256,224,0.58,10.84,7.33
gcresnet33ts,2355.59,108.666,256,256,4.76,11.68,19.88
lambda_resnet26t,2353.44,108.765,256,256,3.02,11.87,10.96
pit_s_224,2338.74,109.449,256,224,2.88,11.56,23.46
dla60,2331.19,109.802,256,224,4.26,10.16,22.04
cspresnet50w,2330.53,109.833,256,256,5.04,12.19,28.12
seresnet50,2324.39,110.125,256,224,4.11,11.13,28.09
resnest26d,2321.38,110.267,256,224,3.64,9.97,17.07
pit_s_distilled_224,2320.78,110.295,256,224,2.9,11.64,24.04
cspresnet50d,2313.66,110.634,256,256,4.86,12.55,21.64
deit_small_patch16_224,2312.17,110.706,256,224,4.61,11.95,22.05
vit_small_patch16_224,2301.45,111.22,256,224,4.61,11.95,22.05
deit_small_distilled_patch16_224,2273.38,112.595,256,224,4.63,12.02,22.44
tf_efficientnet_b2_ap,2266.39,112.943,256,260,1.02,13.83,9.11
tf_efficientnet_b2,2265.35,112.996,256,260,1.02,13.83,9.11
tf_efficientnet_b2_ns,2264.55,113.035,256,260,1.02,13.83,9.11
tf_mixnet_l,2263.46,113.087,256,224,0.58,10.84,7.33
densenet121,2251.23,113.702,256,224,2.87,6.9,7.98
res2net50_48w_2s,2244.59,114.041,256,224,4.18,11.72,25.29
tv_densenet121,2243.68,114.087,256,224,2.87,6.9,7.98
resnetaa50d,2224.41,115.074,256,224,5.39,12.44,25.58
seresnet50t,2204.01,116.141,256,224,4.32,11.83,28.1
resnetblur50,2197.45,116.486,256,224,5.16,12.02,25.56
haloregnetz_b,2191.27,116.814,256,224,1.97,11.94,11.68
ecaresnet50d,2187.04,117.042,256,224,4.35,11.93,25.58
resnetrs50,2155.43,118.757,256,224,4.48,12.14,35.69
densenet121d,2152.18,118.936,256,224,3.11,7.7,8.0
gluon_resnet50_v1s,2129.0,120.233,256,224,5.47,13.52,25.68
visformer_small,2128.36,120.269,256,224,4.88,11.43,40.22
resmlp_24_224,2126.97,120.348,256,224,5.96,10.91,30.02
efficientnet_b2a,2125.57,120.427,256,288,1.12,16.2,9.11
resmlp_24_distilled_224,2124.32,120.497,256,224,5.96,10.91,30.02
efficientnet_b2,2121.96,120.632,256,288,1.12,16.2,9.11
regnetx_032,2121.9,120.635,256,224,3.2,11.37,15.3
adv_inception_v3,2116.52,120.939,256,299,5.73,8.97,23.83
gluon_inception_v3,2110.53,121.285,256,299,5.73,8.97,23.83
inception_v3,2106.47,121.518,256,299,5.73,8.97,23.83
tf_inception_v3,2102.15,121.765,256,299,5.73,8.97,23.83
vovnet57a,2101.83,121.786,256,224,8.95,7.52,36.64
resnetblur50d,2086.08,122.707,256,224,5.4,12.82,25.58
efficientnet_em,2080.04,123.062,256,240,3.04,14.34,6.9
efficientnet_cc_b1_8e,2060.35,124.238,256,240,0.75,15.44,39.72
cspresnext50_iabn,2046.67,125.068,256,256,4.02,15.86,20.57
densenetblur121d,2045.46,125.142,256,224,3.11,7.9,8.0
tf_efficientnet_em,2031.54,125.998,256,240,3.04,14.34,6.9
vit_base_resnet26d_224,2020.03,126.719,256,224,6.97,13.16,101.4
ese_vovnet57b,2017.2,126.896,256,224,8.95,7.52,38.61
ssl_resnext50_32x4d,2016.48,126.942,256,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2014.9,127.042,256,224,4.26,14.4,25.03
seresnetaa50d,2014.43,127.071,256,224,5.4,12.46,28.11
gluon_resnext50_32x4d,2013.28,127.144,256,224,4.26,14.4,25.03
tv_resnext50_32x4d,2010.77,127.303,256,224,4.26,14.4,25.03
resnext50_32x4d,2010.4,127.325,256,224,4.26,14.4,25.03
tf_efficientnet_cc_b1_8e,1970.45,129.905,256,240,0.75,15.44,39.72
cspdarknet53_iabn,1958.85,130.675,256,256,6.53,16.81,27.64
dla60x,1947.14,131.46,256,224,3.54,13.8,17.35
regnetx_040,1940.97,131.881,256,224,3.99,12.2,22.12
skresnet50,1940.94,131.882,256,224,4.11,12.5,25.8
nf_seresnet50,1937.18,132.139,256,224,4.21,11.13,28.09
nf_ecaresnet50,1931.32,132.54,256,224,4.21,11.13,25.56
res2net50_26w_4s,1927.67,132.79,256,224,4.28,12.61,25.7
tf_efficientnetv2_b3,1921.68,133.203,256,300,3.04,15.74,14.36
resnext50d_32x4d,1917.13,133.521,256,224,4.5,15.2,25.05
regnety_040,1911.7,133.9,256,224,4.0,12.29,20.65
gcresnet50t,1897.82,134.88,256,256,5.42,14.67,25.9
efficientnetv2_rw_t,1893.97,135.153,256,288,3.19,16.42,13.65
sehalonet33ts,1881.49,136.051,256,256,3.55,14.7,13.69
lambda_resnet26rpt_256,1854.82,138.007,256,256,3.16,11.87,10.99
skresnet50d,1849.16,138.429,256,224,4.36,13.31,25.82
gcresnext50ts,1842.39,138.938,256,256,3.75,15.46,15.67
seresnext50_32x4d,1842.11,138.958,256,224,4.26,14.42,27.56
gluon_seresnext50_32x4d,1836.43,139.388,256,224,4.26,14.42,27.56
dla60_res2net,1834.89,139.503,256,224,4.15,12.34,20.85
legacy_seresnext50_32x4d,1833.54,139.608,256,224,4.26,14.42,27.56
resnest50d_1s4x24d,1830.82,139.816,256,224,4.43,13.57,25.68
repvgg_b1g4,1821.65,140.52,256,224,8.15,10.64,39.97
darknet53,1820.66,140.594,256,256,9.31,12.39,41.61
densenet169,1814.76,141.051,256,224,3.4,7.3,14.15
gc_efficientnetv2_rw_t,1812.58,141.223,256,288,3.2,16.45,13.68
res2net50_14w_8s,1809.09,141.495,256,224,4.21,13.28,25.06
coat_lite_tiny,1803.47,141.935,256,224,1.6,11.65,5.72
res2next50,1798.23,142.351,256,224,4.2,13.71,24.67
cspdarknet53,1759.27,145.502,256,256,6.57,16.81,27.64
ecaresnet26t,1753.56,145.977,256,320,5.24,16.44,16.01
dla60_res2next,1751.16,146.174,256,224,3.49,13.17,17.03
efficientnet_lite3,1747.68,146.468,256,300,1.65,21.85,8.2
nf_regnet_b3,1737.85,147.296,256,320,2.05,14.61,18.59
vgg13,1734.82,147.554,256,224,11.31,12.25,133.05
regnetz_b16,1724.03,148.477,256,288,2.39,16.43,9.72
coat_lite_mini,1717.28,149.059,256,224,2.0,12.25,11.01
mixnet_xl,1685.34,151.886,256,224,0.93,14.57,11.9
vit_small_r26_s32_224,1673.77,152.936,256,224,3.56,9.85,36.43
sebotnet33ts_256,1634.05,156.655,256,256,3.89,17.46,13.7
resnetv2_101,1630.31,157.012,256,224,7.83,16.23,44.54
tf_efficientnet_lite3,1628.65,157.171,256,300,1.65,21.85,8.2
convnext_tiny,1599.8,160.006,256,224,4.47,13.44,28.59
tv_resnet101,1599.73,160.015,256,224,7.83,16.23,44.55
gluon_resnet101_v1b,1599.19,160.07,256,224,7.83,16.23,44.55
convnext_tiny_hnf,1598.61,160.125,256,224,4.47,13.44,28.59
resnet101,1594.14,160.576,256,224,7.83,16.23,44.55
xcit_tiny_24_p16_224_dist,1587.39,161.257,256,224,2.34,11.82,12.12
xcit_tiny_24_p16_224,1582.27,161.779,256,224,2.34,11.82,12.12
repvgg_b1,1574.77,162.553,256,224,13.16,10.64,57.42
resnetv2_101d,1569.58,163.088,256,224,8.07,17.04,44.56
xcit_small_12_p16_224_dist,1568.96,163.153,256,224,4.82,12.58,26.25
xcit_small_12_p16_224,1566.49,163.411,256,224,4.82,12.58,26.25
vit_base_resnet50d_224,1557.57,164.346,256,224,8.73,16.92,110.97
resnest50d,1550.54,165.09,256,224,5.4,14.36,27.48
gluon_resnet101_v1c,1550.28,165.12,256,224,8.08,17.04,44.57
lambda_resnet50ts,1550.05,165.145,256,256,5.07,17.48,21.54
vgg13_bn,1545.09,165.675,256,224,11.33,12.25,133.05
gluon_resnet101_v1d,1542.32,165.972,256,224,8.08,17.04,44.57
dla102,1542.08,165.995,256,224,7.19,14.18,33.27
twins_svt_small,1526.51,167.691,256,224,2.94,13.75,24.06
wide_resnet50_2,1515.12,168.952,256,224,11.43,14.4,68.88
gmixer_24_224,1503.65,170.24,256,224,5.28,14.45,24.72
resnetv2_50x1_bit_distilled,1496.53,171.051,256,224,4.23,11.11,25.55
regnetx_080,1491.93,171.578,256,224,8.02,14.06,39.57
xcit_nano_12_p16_384_dist,1489.5,171.858,256,384,1.64,12.15,3.05
crossvit_small_240,1472.6,173.826,256,240,5.63,18.17,26.86
res2net50_26w_6s,1468.77,174.282,256,224,6.33,15.28,37.05
legacy_seresnet101,1466.72,174.527,256,224,7.61,15.74,49.33
halonet50ts,1459.14,175.434,256,256,5.3,19.2,22.73
resnetaa101d,1449.52,176.598,256,224,9.12,17.56,44.57
fbnetv3_g,1435.53,178.32,256,288,1.77,21.09,16.62
seresnet101,1425.31,179.597,256,224,7.84,16.27,49.33
resmlp_36_224,1423.79,179.791,256,224,8.91,16.33,44.69
resmlp_36_distilled_224,1422.98,179.892,256,224,8.91,16.33,44.69
regnetx_064,1422.54,179.948,256,224,6.49,16.37,26.21
resnetv2_50d_gn,1422.29,179.98,256,224,4.38,11.92,25.57
densenet201,1416.58,180.704,256,224,4.34,7.85,20.01
vit_large_patch32_224,1414.43,180.979,256,224,15.39,13.3,306.54
gluon_resnet101_v1s,1407.4,181.883,256,224,9.19,18.64,44.67
vgg16,1399.33,182.931,256,224,15.47,13.56,138.36
lamhalobotnet50ts_256,1392.5,183.829,256,256,5.02,18.44,22.57
resnetblur101d,1390.53,184.088,256,224,9.12,17.94,44.57
nf_resnet50,1387.13,184.542,256,288,6.88,18.37,25.56
nf_resnet101,1387.03,184.555,256,224,8.01,16.23,44.55
ecaresnet101d,1375.85,186.054,256,224,8.08,17.07,44.57
vit_base_r26_s32_224,1374.54,186.232,256,224,6.81,12.36,101.38
regnety_032,1353.73,189.095,256,288,5.29,18.61,19.44
crossvit_15_240,1351.08,189.465,256,240,5.81,19.77,27.53
tresnet_l,1350.23,189.586,256,224,10.88,11.9,55.99
gmlp_s16_224,1343.26,190.569,256,224,4.42,15.1,19.42
tf_efficientnet_b3,1341.98,190.75,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ns,1340.42,190.973,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ap,1339.36,191.124,256,300,1.87,23.83,12.23
resnet51q,1338.83,191.2,256,288,8.07,20.94,35.7
hrnet_w18,1335.83,191.629,256,224,4.32,16.31,21.3
vit_base_patch32_384,1328.33,192.713,256,384,13.06,16.5,88.3
resnet50_gn,1327.88,192.777,256,224,4.14,11.11,25.56
mixer_l32_224,1318.62,194.131,256,224,11.27,19.86,206.94
xception,1316.52,194.441,256,299,8.4,35.83,22.86
crossvit_15_dagger_240,1308.42,195.641,256,240,6.13,20.43,28.21
dla102x,1302.91,196.468,256,224,5.89,19.42,26.31
efficientnet_b3a,1302.53,196.528,256,320,2.01,26.52,12.23
efficientnet_b3,1301.42,196.696,256,320,2.01,26.52,12.23
botnet50ts_256,1288.18,198.716,256,256,5.54,22.23,22.74
cait_xxs24_224,1287.06,198.889,256,224,2.53,20.29,11.96
mixer_b16_224_miil,1283.42,199.455,256,224,12.62,14.53,59.88
mixer_b16_224,1283.22,199.487,256,224,12.62,14.53,59.88
skresnext50_32x4d,1276.26,200.574,256,224,4.5,17.18,27.48
regnety_064,1272.95,201.095,256,224,6.39,16.41,30.58
swsl_resnext101_32x4d,1266.33,202.147,256,224,8.01,21.23,44.18
ssl_resnext101_32x4d,1265.67,202.252,256,224,8.01,21.23,44.18
gluon_resnext101_32x4d,1265.25,202.319,256,224,8.01,21.23,44.18
resnext101_32x4d,1264.74,202.401,256,224,8.01,21.23,44.18
vgg16_bn,1261.15,202.977,256,224,15.5,13.56,138.37
repvgg_b2g4,1251.52,204.539,256,224,12.63,12.9,61.76
halo2botnet50ts_256,1248.54,205.028,256,256,5.02,21.78,22.64
swin_tiny_patch4_window7_224,1248.01,205.115,256,224,4.51,17.06,28.29
twins_pcpvt_small,1232.89,207.63,256,224,3.83,18.08,24.11
regnety_080,1232.57,207.684,256,224,8.0,17.97,39.18
resnest50d_4s2x40d,1216.47,210.433,256,224,4.4,17.94,30.42
resnet61q,1209.86,211.583,256,288,9.87,21.52,36.85
nf_seresnet101,1194.71,214.265,256,224,8.02,16.27,49.33
ese_vovnet99b_iabn,1193.74,214.438,256,224,16.49,11.27,63.2
nf_ecaresnet101,1193.13,214.55,256,224,8.01,16.27,44.55
res2net50_26w_8s,1192.34,214.692,256,224,8.37,17.95,48.4
eca_nfnet_l0,1189.26,215.246,256,288,7.12,17.29,24.14
res2net101_26w_4s,1189.12,215.272,256,224,8.1,18.45,45.21
nfnet_l0,1185.85,215.867,256,288,7.13,17.29,35.07
dpn92,1179.85,216.965,256,224,6.54,18.21,37.67
vit_tiny_patch16_384,1177.29,217.437,256,384,4.7,25.39,5.79
convit_small,1173.71,218.096,256,224,5.76,17.87,27.78
ese_vovnet99b,1158.79,220.908,256,224,16.51,11.27,63.2
vgg19,1152.83,222.048,256,224,19.63,14.86,143.67
seresnext101_32x4d,1152.16,222.18,256,224,8.02,21.26,48.96
resnetv2_50d_evob,1150.91,222.42,256,224,4.33,11.92,25.59
gluon_seresnext101_32x4d,1150.75,222.451,256,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1150.68,222.464,256,224,8.02,21.26,48.96
ese_vovnet39b_evos,1144.38,223.689,256,224,7.07,6.74,24.58
hrnet_w32,1140.5,224.45,256,224,8.97,22.02,41.23
resnetv2_152,1132.73,225.989,256,224,11.55,22.56,60.19
xcit_nano_12_p8_224_dist,1129.67,226.602,256,224,2.16,15.71,3.05
xcit_nano_12_p8_224,1124.18,227.71,256,224,2.16,15.71,3.05
hrnet_w30,1121.05,228.345,256,224,8.15,21.21,37.71
tv_resnet152,1117.27,229.117,256,224,11.56,22.56,60.19
resnet152,1114.93,229.598,256,224,11.56,22.56,60.19
gluon_resnet152_v1b,1112.41,230.118,256,224,11.56,22.56,60.19
ecaresnet50t,1109.44,230.735,256,320,8.82,24.13,25.57
regnetz_c16,1104.72,231.72,256,320,3.92,25.88,13.46
resnetv2_152d,1101.83,232.328,256,224,11.8,23.36,60.2
gluon_resnet152_v1c,1092.12,234.395,256,224,11.8,23.36,60.21
repvgg_b2,1089.82,234.89,256,224,20.45,12.9,89.02
gluon_resnet152_v1d,1082.98,236.373,256,224,11.8,23.36,60.21
vgg19_bn,1079.7,237.091,256,224,19.66,14.86,143.68
densenet161,1075.45,238.026,256,224,7.79,11.06,28.68
xception41,1067.64,239.769,256,299,9.28,39.86,26.97
mixnet_xxl,1054.35,242.792,256,224,2.04,23.43,23.96
inception_v4,1054.27,242.81,256,299,12.28,15.09,42.68
vit_small_resnet50d_s16_224,1053.44,243.001,256,224,13.48,24.82,57.53
convmixer_1024_20_ks9_p14,1045.16,244.926,256,224,5.55,5.51,24.38
dla169,1043.58,245.295,256,224,11.6,20.2,53.39
nfnet_f0s,1043.56,245.302,256,256,12.62,18.05,71.49
xcit_tiny_12_p16_384_dist,1043.38,245.342,256,384,3.64,18.26,6.72
convnext_small,1038.48,246.501,256,224,8.7,21.56,50.22
nfnet_f0,1038.01,246.613,256,256,12.62,18.05,71.49
regnetx_120,1028.4,248.918,256,224,12.13,21.37,46.11
nest_tiny,1021.17,250.679,256,224,5.83,25.48,17.06
gluon_resnet152_v1s,1020.83,250.763,256,224,12.92,24.96,60.32
coat_lite_small,1016.77,251.763,256,224,3.96,22.09,19.84
legacy_seresnet152,1013.05,252.688,256,224,11.33,22.08,66.82
repvgg_b3g4,1008.62,253.799,256,224,17.89,15.1,83.83
jx_nest_tiny,1008.04,253.946,256,224,5.83,25.48,17.06
vit_base_patch16_224_miil,1007.66,254.043,256,224,17.58,23.9,86.54
crossvit_18_240,995.59,257.12,256,240,9.05,26.26,43.27
seresnet152,990.73,258.382,256,224,11.57,22.61,66.82
resnetv2_50d_evos,987.09,259.336,256,224,4.33,11.92,25.59
vit_base_patch16_224_sam,982.02,260.673,256,224,17.58,23.9,86.57
tresnet_xl,981.28,260.87,256,224,15.17,15.34,78.44
regnety_120,981.1,260.919,256,224,12.14,21.38,51.82
deit_base_patch16_224,980.91,260.97,256,224,17.58,23.9,86.57
vit_base_patch16_224,978.17,261.701,256,224,17.58,23.9,86.57
deit_base_distilled_patch16_224,975.08,262.528,256,224,17.68,24.05,87.34
crossvit_18_dagger_240,969.31,264.09,256,240,9.5,27.03,44.27
efficientnet_el,926.41,276.325,256,300,8.0,30.7,10.59
efficientnet_el_pruned,925.7,276.536,256,300,8.0,30.7,10.59
tf_efficientnet_el,907.79,281.986,256,300,8.0,30.7,10.59
dm_nfnet_f0,904.97,282.867,256,256,12.62,18.05,71.49
beit_base_patch16_224,904.15,283.123,256,224,17.58,23.9,86.53
twins_pcpvt_base,902.77,283.561,256,224,6.68,25.25,43.83
dla102x2,892.56,286.801,256,224,9.34,29.91,41.28
efficientnetv2_s,884.22,289.51,256,384,8.44,35.77,21.46
twins_svt_base,881.96,290.252,256,224,8.59,26.33,56.07
wide_resnet101_2,875.33,292.449,256,224,22.8,21.23,126.89
tf_efficientnetv2_s_in21ft1k,864.32,296.172,256,384,8.44,35.77,21.46
cait_xxs36_224,863.8,296.351,256,224,3.77,30.34,17.3
tf_efficientnetv2_s,863.76,296.365,256,384,8.44,35.77,21.46
resnetrs101,852.6,300.247,256,288,13.56,28.53,63.62
repvgg_b3,844.81,303.013,256,224,29.16,15.1,123.09
efficientnetv2_rw_s,841.56,304.183,256,384,8.72,38.03,23.94
dpn98,838.93,305.139,256,224,11.73,25.2,61.57
pit_b_distilled_224,837.59,305.628,256,224,12.5,33.07,74.79
pit_b_224,836.04,306.193,256,224,12.42,32.94,73.76
regnetx_160,833.81,307.013,256,224,15.99,25.52,54.28
xcit_small_24_p16_224_dist,833.22,307.225,256,224,9.1,23.64,47.67
xcit_small_24_p16_224,831.56,307.841,256,224,9.1,23.64,47.67
inception_resnet_v2,830.74,308.147,256,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,830.17,308.358,256,299,13.18,25.06,55.84
regnetz_d8,827.41,309.386,256,320,6.19,37.08,23.37
nf_regnet_b4,822.49,311.237,256,384,4.7,28.61,30.21
swin_small_patch4_window7_224,808.44,316.649,256,224,8.77,27.47,49.61
efficientnet_lite4,804.5,318.199,256,380,4.04,45.66,13.01
gluon_resnext101_64x4d,802.95,318.813,256,224,15.52,31.21,83.46
resnext101_64x4d,801.6,319.349,256,224,15.52,31.21,83.46
resnet200,795.01,321.996,256,224,15.07,32.19,64.67
xcit_tiny_12_p8_224_dist,792.9,322.851,256,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,791.66,323.355,256,224,4.81,23.6,6.71
gluon_xception65,782.06,327.33,256,299,13.96,52.48,39.92
convnext_base_in22ft1k,778.5,328.824,256,224,15.38,28.75,88.59
convnext_base,777.8,329.119,256,224,15.38,28.75,88.59
xception65,776.49,329.678,256,299,13.96,52.48,39.92
ssl_resnext101_32x8d,773.95,330.757,256,224,16.48,31.21,88.79
swsl_resnext101_32x8d,773.24,331.062,256,224,16.48,31.21,88.79
resnext101_32x8d,772.71,331.288,256,224,16.48,31.21,88.79
ig_resnext101_32x8d,772.07,331.562,256,224,16.48,31.21,88.79
resnet101d,769.32,332.747,256,320,16.48,34.77,44.57
hrnet_w40,767.4,333.582,256,224,12.75,25.29,57.56
tf_efficientnet_lite4,762.16,335.871,256,380,4.04,45.66,13.01
resnest101e,757.06,338.138,256,256,13.38,28.66,48.28
gluon_seresnext101_64x4d,754.82,339.139,256,224,15.53,31.25,88.23
seresnext101_32x8d,729.3,351.006,256,224,16.48,31.25,93.57
cait_s24_224,717.85,356.607,256,224,9.35,40.58,46.92
hrnet_w48,714.5,358.278,256,224,17.34,28.56,77.47
hrnet_w44,713.57,358.746,256,224,14.94,26.92,67.06
tresnet_m_448,711.59,359.746,256,448,22.94,29.21,31.39
regnetz_d32,706.63,362.269,256,320,9.33,37.08,27.58
coat_tiny,706.1,362.539,256,224,4.35,27.2,5.5
nest_small,681.35,375.712,256,224,10.35,40.04,38.35
vit_large_r50_s32_224,679.9,376.512,256,224,19.58,24.41,328.99
jx_nest_small,675.59,378.914,256,224,10.35,40.04,38.35
twins_svt_large,672.39,380.718,256,224,15.15,35.1,99.27
crossvit_base_240,669.47,382.378,256,240,21.22,36.33,105.03
efficientnet_b4,667.37,383.583,256,384,4.51,50.04,19.34
twins_pcpvt_large,655.12,390.752,256,224,9.84,35.82,60.99
gmlp_b16_224,643.01,398.116,256,224,15.78,30.21,73.08
densenet264d_iabn,638.28,401.062,256,224,13.47,14.0,72.74
tf_efficientnet_b4,637.3,401.68,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,636.89,401.944,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,636.28,402.323,256,380,4.49,49.49,19.34
convit_base,621.54,411.866,256,224,17.52,31.77,86.54
densenet264,620.68,412.433,256,224,12.95,12.8,72.69
dpn131,617.53,414.539,256,224,16.09,32.97,79.25
swin_base_patch4_window7_224,616.27,415.39,256,224,15.47,36.63,87.77
xcit_medium_24_p16_224_dist,612.37,418.035,256,224,16.13,31.71,84.4
xcit_medium_24_p16_224,612.25,418.117,256,224,16.13,31.71,84.4
vit_small_patch16_384,593.83,431.086,256,384,15.52,50.78,22.2
coat_mini,591.16,433.03,256,224,6.82,33.68,10.34
xception71,588.93,434.671,256,299,18.09,69.92,42.34
vit_small_r26_s32_384,574.79,445.365,256,384,10.43,29.85,36.47
hrnet_w64,567.27,451.268,256,224,28.97,35.09,128.06
dpn107,564.61,453.398,256,224,18.38,33.46,86.92
eca_nfnet_l1,558.87,458.051,256,320,14.92,34.42,41.41
senet154,557.21,459.42,256,224,20.77,38.69,115.09
vit_base_r50_s16_224,556.92,459.655,256,224,21.66,35.29,98.66
gluon_senet154,556.63,459.899,256,224,20.77,38.69,115.09
legacy_senet154,554.67,461.525,256,224,20.77,38.69,115.09
xcit_tiny_24_p16_384_dist,554.63,461.554,256,384,6.87,34.29,12.12
xcit_small_12_p16_384_dist,546.42,468.488,256,384,14.14,36.51,26.25
resnet152d,540.83,473.331,256,320,24.08,47.67,60.21
seresnet200d,537.6,476.175,256,256,20.01,43.15,71.86
ecaresnet200d,537.5,476.265,256,256,20.0,43.15,64.69
regnety_320,520.96,491.382,256,224,32.34,30.26,145.05
nest_base,514.48,497.58,256,224,17.96,53.39,67.72
regnety_160,513.33,498.688,256,288,26.37,38.07,83.59
jx_nest_base,510.61,501.344,256,224,17.96,53.39,67.72
tnt_s_patch16_224,491.14,521.218,256,224,5.24,24.37,23.76
seresnet152d,484.32,528.565,256,320,24.09,47.72,66.84
resnetrs152,479.63,533.736,256,320,24.34,48.14,86.62
convnext_large,469.79,544.914,256,224,34.4,43.13,197.77
convnext_large_in22ft1k,468.89,545.96,256,224,34.4,43.13,197.77
regnetx_320,458.91,557.836,256,224,31.81,36.3,107.81
halonet_h1,456.22,561.121,256,256,3.0,51.17,8.1
vit_large_patch32_384,455.24,562.325,256,384,45.31,43.86,306.63
efficientnetv2_m,448.05,571.353,256,416,18.6,67.5,54.14
regnetz_e8,441.39,579.972,256,320,15.46,63.94,57.7
mixer_l16_224,428.45,597.494,256,224,44.6,41.69,208.2
seresnet269d,419.5,610.23,256,256,26.59,53.6,113.67
nf_regnet_b5,418.97,611.004,256,456,11.7,61.95,49.74
xcit_tiny_24_p8_224,417.22,613.573,256,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,416.09,615.239,256,224,9.21,45.39,12.11
xcit_small_12_p8_224,415.7,615.812,256,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,414.47,617.648,256,224,18.69,47.21,26.21
efficientnetv2_rw_m,401.01,638.372,256,416,21.49,79.62,53.24
resnet200d,390.11,656.216,256,320,31.25,67.33,64.69
resnetv2_50x1_bitm,388.79,658.439,256,448,16.62,44.46,25.55
tnt_b_patch16_224,387.0,661.483,256,224,14.09,39.01,65.41
xcit_nano_12_p8_384_dist,385.68,663.749,256,384,6.34,46.08,3.05
swin_large_patch4_window7_224,383.12,668.188,256,224,34.53,54.94,196.53
nfnet_f1s,376.13,680.6,256,320,35.97,46.77,132.63
nfnet_f1,374.75,683.103,256,320,35.97,46.77,132.63
xcit_large_24_p16_224,373.32,685.729,256,224,35.86,47.27,189.1
xcit_large_24_p16_224_dist,372.9,686.493,256,224,35.86,47.27,189.1
ssl_resnext101_32x16d,364.85,701.653,256,224,36.27,51.18,194.03
ig_resnext101_32x16d,364.28,702.733,256,224,36.27,51.18,194.03
swsl_resnext101_32x16d,364.28,702.739,256,224,36.27,51.18,194.03
tresnet_l_448,351.48,728.329,256,448,43.5,47.56,55.99
resnetrs200,347.71,736.231,256,320,31.51,67.81,93.21
tf_efficientnetv2_m,339.44,754.17,256,480,24.76,89.84,54.14
tf_efficientnetv2_m_in21ft1k,338.69,755.846,256,480,24.76,89.84,54.14
regnetz_d8_evob,337.57,758.355,256,320,6.12,37.08,23.41
efficientnet_b5,330.43,774.739,256,456,10.46,98.86,30.39
vit_large_patch16_224,328.99,778.119,256,224,61.6,63.52,304.33
dm_nfnet_f1,328.44,779.437,256,320,35.97,46.77,132.63
convnext_xlarge_in22ft1k,319.16,802.079,256,224,60.97,57.5,350.2
tf_efficientnet_b5,318.33,804.192,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,317.92,805.231,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ns,317.77,805.609,256,456,10.46,98.86,30.39
crossvit_15_dagger_408,307.3,833.049,256,408,21.45,95.05,28.5
beit_large_patch16_224,302.42,846.497,256,224,61.6,63.52,304.43
xcit_small_24_p16_384_dist,290.22,882.071,256,384,26.72,68.58,47.67
convmixer_768_32,283.01,904.552,256,224,19.55,25.95,21.11
eca_nfnet_l2,276.43,926.087,256,384,30.05,68.28,56.72
regnetz_d8_evos,272.53,939.333,256,320,7.03,38.92,23.46
resnetv2_152x2_bit_teacher,270.79,945.382,256,224,46.95,45.11,236.34
xcit_tiny_12_p8_384_dist,269.38,950.319,256,384,14.13,69.14,6.71
convnext_base_384_in22ft1k,268.35,953.955,256,384,45.2,84.49,88.59
tresnet_xl_448,264.06,969.471,256,448,60.65,61.31,78.44
deit_base_patch16_384,258.82,989.071,256,384,55.54,101.56,86.86
vit_base_patch16_384,258.72,989.47,256,384,55.54,101.56,86.86
resnest200e,257.74,993.222,256,320,35.69,82.78,70.2
deit_base_distilled_patch16_384,255.57,1001.681,256,384,55.65,101.82,87.63
resnetv2_101x1_bitm,242.52,1055.587,256,448,31.65,64.93,44.54
cait_xxs24_384,236.82,1080.978,256,384,9.63,122.66,12.03
crossvit_18_dagger_408,228.68,559.729,128,408,32.47,124.87,44.61
ecaresnet269d,228.16,1122.012,256,352,50.25,101.25,102.09
vit_large_r50_s32_384,228.16,1121.984,256,384,57.43,76.52,329.09
nasnetalarge,224.77,1138.915,256,331,23.89,90.56,88.75
pnasnet5large,224.27,1141.456,256,331,25.04,92.89,86.06
beit_base_patch16_384,222.85,1148.718,256,384,55.54,101.56,86.74
resnetrs270,221.37,1156.398,256,352,51.13,105.48,129.86
xcit_small_24_p8_224,217.0,1179.688,256,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,216.72,1181.234,256,224,35.81,90.78,47.63
nfnet_f2s,212.63,1203.934,256,352,63.22,79.06,193.78
nfnet_f2,211.38,1211.098,256,352,63.22,79.06,193.78
xcit_medium_24_p16_384_dist,210.86,1214.056,256,384,47.39,91.64,84.4
resmlp_big_24_224,198.74,1288.096,256,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,197.93,1293.386,256,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,197.54,1295.901,256,224,100.23,87.31,129.14
efficientnetv2_l,196.77,1301.027,256,480,56.4,157.99,118.52
tf_efficientnetv2_l,194.85,1313.812,256,480,56.4,157.99,118.52
tf_efficientnetv2_l_in21ft1k,194.51,1316.142,256,480,56.4,157.99,118.52
efficientnet_b6,189.94,673.894,128,528,19.4,167.39,43.04
dm_nfnet_f2,186.3,1374.105,256,352,63.22,79.06,193.78
tf_efficientnet_b6_ns,183.84,696.254,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ap,183.67,696.899,128,528,19.4,167.39,43.04
tf_efficientnet_b6,183.44,697.757,128,528,19.4,167.39,43.04
swin_base_patch4_window12_384,171.35,746.981,128,384,47.19,134.78,87.9
vit_base_patch8_224,170.3,1503.253,256,224,78.22,161.69,86.58
cait_xs24_384,168.32,1520.881,256,384,19.28,183.98,26.67
vit_base_r50_s16_384,163.47,1566.011,256,384,67.43,135.03,98.95
vit_base_resnet50_384,163.26,1568.003,256,384,67.43,135.03,98.95
convmixer_1536_20,162.04,1579.822,256,224,48.68,33.03,51.63
convnext_large_384_in22ft1k,160.02,1599.775,256,384,101.09,126.74,197.77
cait_xxs36_384,158.26,1617.553,256,384,14.35,183.7,17.37
xcit_medium_24_p8_224,157.17,1628.769,256,224,63.53,121.23,84.32
xcit_medium_24_p8_224_dist,157.13,1629.205,256,224,63.53,121.23,84.32
eca_nfnet_l3,156.17,1639.21,256,448,52.55,118.4,72.04
resnetrs350,147.0,1741.501,256,384,77.59,154.74,163.96
ig_resnext101_32x32d,144.49,1771.686,256,224,87.29,91.12,468.53
xcit_tiny_24_p8_384_dist,141.04,1815.079,256,384,27.05,132.95,12.11
xcit_small_12_p8_384_dist,137.26,1865.112,256,384,54.92,138.29,26.21
vit_huge_patch14_224,131.97,1939.888,256,224,167.4,139.41,632.05
cait_s24_384,129.91,1970.595,256,384,32.17,245.31,47.06
xcit_large_24_p16_384_dist,127.3,2011.004,256,384,105.35,137.17,189.1
efficientnetv2_xl,125.14,2045.696,256,512,93.85,247.32,208.12
tf_efficientnetv2_xl_in21ft1k,124.18,2061.565,256,512,93.85,247.32,208.12
resnest269e,119.71,2138.483,256,416,77.69,171.98,110.93
nfnet_f3s,116.49,2197.633,256,416,115.58,141.78,254.92
nfnet_f3,115.68,2213.012,256,416,115.58,141.78,254.92
convnext_xlarge_384_in22ft1k,109.41,1169.883,128,384,179.18,168.99,350.2
efficientnet_b7,108.34,590.697,64,600,38.33,289.94,66.35
swin_large_patch4_window12_384,107.91,1186.161,128,384,104.08,202.16,196.74
resnetrs420,106.92,2394.315,256,416,108.45,213.79,191.89
tf_efficientnet_b7_ap,105.47,606.819,64,600,38.33,289.94,66.35
tf_efficientnet_b7_ns,105.47,606.797,64,600,38.33,289.94,66.35
tf_efficientnet_b7,105.43,607.002,64,600,38.33,289.94,66.35
dm_nfnet_f3,102.2,2504.865,256,416,115.58,141.78,254.92
xcit_large_24_p8_224_dist,94.99,2695.138,256,224,141.23,181.56,188.93
xcit_large_24_p8_224,94.97,2695.444,256,224,141.23,181.56,188.93
resnetv2_152x2_bit_teacher_384,94.51,2708.696,256,384,136.16,132.56,236.34
resnetv2_50x3_bitm,93.18,1373.716,128,448,145.7,133.37,217.32
vit_large_patch16_384,88.86,2880.826,256,384,191.21,270.24,304.72
vit_giant_patch14_224,87.24,2934.557,256,224,267.18,192.64,1012.61
cait_s36_384,87.06,2940.456,256,384,47.99,367.4,68.37
ig_resnext101_32x48d,85.45,1497.919,128,224,153.57,131.06,828.41
beit_large_patch16_384,77.25,3314.013,256,384,191.21,270.24,305.0
xcit_small_24_p8_384_dist,72.02,3554.648,256,384,105.24,265.91,47.63
resnetv2_152x2_bitm,69.3,1847.055,128,448,184.99,180.43,236.34
efficientnet_b8,67.89,942.729,64,672,63.48,442.89,87.41
tf_efficientnet_b8,66.48,962.617,64,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,66.47,962.833,64,672,63.48,442.89,87.41
nfnet_f4s,65.05,3935.454,256,512,216.26,262.26,316.07
nfnet_f4,64.4,3975.384,256,512,216.26,262.26,316.07
resnetv2_101x3_bitm,57.01,2245.355,128,448,280.33,194.78,387.93
dm_nfnet_f4,56.77,4509.206,256,512,216.26,262.26,316.07
xcit_medium_24_p8_384_dist,53.32,4800.797,256,384,186.67,354.73,84.32
vit_gigantic_patch14_224,53.03,4827.242,256,224,483.95,275.37,1844.44
nfnet_f5s,47.06,5439.402,256,544,290.97,349.71,377.21
nfnet_f5,46.62,5491.767,256,544,290.97,349.71,377.21
dm_nfnet_f5,41.31,6196.83,256,544,290.97,349.71,377.21
tf_efficientnet_l2_ns_475,38.18,1676.113,64,475,172.11,609.89,480.31
nfnet_f6s,33.85,7563.356,256,576,378.69,452.2,438.36
nfnet_f6,33.53,7634.937,256,576,378.69,452.2,438.36
xcit_large_24_p8_384_dist,32.23,7943.828,256,384,415.0,531.82,188.93
beit_large_patch16_512,31.3,2044.665,64,512,362.24,656.39,305.67
cait_m36_384,30.09,8507.481,256,384,173.11,734.81,271.22
dm_nfnet_f6,30.02,8526.734,256,576,378.69,452.2,438.36
nfnet_f7s,26.4,9698.058,256,608,480.39,570.85,499.5
nfnet_f7,26.15,9791.252,256,608,480.39,570.85,499.5
resnetv2_152x4_bitm,18.07,3541.734,64,480,844.84,414.26,936.53
efficientnet_l2,13.68,2266.184,31,800,479.12,1707.39,480.31
tf_efficientnet_l2_ns,13.51,2295.302,31,800,479.12,1707.39,480.31
cait_m48_448,13.05,9810.688,128,448,329.41,1708.23,356.46