From eac2df3d2c5bba0227ad6e9f9704f12eb5c1e405 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Mon, 4 Apr 2022 09:02:54 -0700 Subject: [PATCH] Update PyTorch 1.10 benchmark numbers for latest code --- ...ark-infer-amp-nchw-pt110-cu113-rtx3090.csv | 1458 +++++++++-------- ...ark-infer-amp-nhwc-pt110-cu113-rtx3090.csv | 1443 ++++++++-------- ...ark-train-amp-nchw-pt110-cu113-rtx3090.csv | 1457 ++++++++-------- ...ark-train-amp-nhwc-pt110-cu113-rtx3090.csv | 1449 ++++++++-------- 4 files changed, 3007 insertions(+), 2800 deletions(-) diff --git a/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv index 12f3505b..d006a42b 100644 --- a/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv +++ b/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv @@ -1,704 +1,754 @@ -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 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-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 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+nf_regnet_b0,5101.72,200.704,1024,256,0.64,5.58,8.76 +visformer_tiny,5101.23,200.723,1024,224,1.27,5.72,10.32 +levit_384,5073.3,201.829,1024,224,2.36,6.26,39.13 +semnasnet_140,4966.63,206.164,1024,224,0.6,8.87,6.11 +seresnet34,4945.0,207.065,1024,224,3.67,3.74,21.96 +tf_efficientnet_b0_ap,4905.52,208.732,1024,224,0.4,6.75,5.29 +gernet_m,4904.45,208.778,1024,224,3.02,5.24,21.14 +tf_efficientnet_b0_ns,4901.28,208.912,1024,224,0.4,6.75,5.29 +tf_efficientnet_b0,4899.3,208.998,1024,224,0.4,6.75,5.29 +deit_tiny_patch16_224,4843.68,211.396,1024,224,1.26,5.97,5.72 +vit_tiny_patch16_224,4826.03,212.17,1024,224,1.26,5.97,5.72 +legacy_seresnet34,4801.6,213.249,1024,224,3.67,3.74,21.96 +selecsls42,4799.44,213.344,1024,224,2.94,4.62,30.35 +selecsls42b,4785.96,213.947,1024,224,2.98,4.62,32.46 +deit_tiny_distilled_patch16_224,4763.87,214.938,1024,224,1.27,6.01,5.91 +dla46x_c,4729.04,216.521,1024,224,0.54,5.66,1.07 +resnet34d,4728.13,216.564,1024,224,3.91,4.54,21.82 +rexnetr_130,4595.96,222.792,1024,224,0.68,9.81,7.61 +mixnet_s,4558.15,224.639,1024,224,0.25,6.25,4.13 +pit_ti_distilled_224,4547.26,225.178,1024,224,0.71,6.23,5.1 +pit_ti_224,4535.39,225.767,1024,224,0.7,6.19,4.85 +tf_efficientnetv2_b1,4510.37,227.021,1024,240,1.21,7.34,8.14 +xcit_nano_12_p16_224_dist,4493.11,227.892,1024,224,0.56,4.17,3.05 +xcit_nano_12_p16_224,4491.7,227.964,1024,224,0.56,4.17,3.05 +dla60x_c,4470.1,229.064,1024,224,0.59,6.01,1.32 +resmlp_12_distilled_224,4434.35,230.91,1024,224,3.01,5.5,15.35 +resmlp_12_224,4433.54,230.952,1024,224,3.01,5.5,15.35 +rexnet_130,4425.14,231.393,1024,224,0.68,9.71,7.56 +vit_base_patch32_224_sam,4321.54,236.941,1024,224,4.41,5.01,88.22 +vit_base_patch32_224,4307.66,237.703,1024,224,4.41,5.01,88.22 +resnet26,4298.32,238.219,1024,224,2.36,7.35,16.0 +mobilenetv2_120d,4284.71,238.978,1024,224,0.69,11.97,5.83 +tf_mixnet_s,4275.28,239.504,1024,224,0.25,6.25,4.13 +repvgg_b0,4225.0,242.355,1024,224,3.41,6.15,15.82 +mixer_b32_224,4147.03,246.913,1024,224,3.24,6.29,60.29 +selecsls60,4126.77,248.123,1024,224,3.59,5.52,30.67 +selecsls60b,4115.88,248.778,1024,224,3.63,5.52,32.77 +efficientnet_b0_g16_evos,3990.44,256.6,1024,224,1.01,7.42,8.11 +rexnetr_150,3952.56,259.06,1024,224,0.89,11.13,9.78 +efficientnet_lite1,3940.91,259.824,1024,240,0.62,10.14,5.42 +resnet26d,3924.1,260.939,1024,224,2.6,8.15,16.01 +dla34,3875.11,264.237,1024,224,3.07,5.02,15.74 +ecaresnet50d_pruned,3865.04,264.927,1024,224,2.53,6.43,19.94 +rexnet_150,3831.29,267.26,1024,224,0.9,11.21,9.73 +nf_resnet26,3793.55,269.919,1024,224,2.41,7.35,16.0 +mobilevit_xxs,3770.57,271.565,1024,256,0.42,8.34,1.27 +pit_xs_224,3681.14,278.161,1024,224,1.4,7.71,10.62 +tf_efficientnet_lite1,3664.91,279.395,1024,240,0.62,10.14,5.42 +pit_xs_distilled_224,3647.86,280.699,1024,224,1.41,7.76,11.0 +regnetx_016,3647.8,280.704,1024,224,1.62,7.93,9.19 +fbnetv3_d,3569.84,286.833,1024,256,0.68,11.1,10.31 +fbnetv3_b,3536.82,289.512,1024,256,0.55,9.1,8.6 +efficientnet_b2_pruned,3476.28,294.556,1024,260,0.73,9.13,8.31 +efficientnet_es_pruned,3448.68,296.913,1024,224,1.81,8.73,5.44 +efficientnet_es,3446.7,297.082,1024,224,1.81,8.73,5.44 +tf_efficientnetv2_b2,3438.51,297.791,1024,260,1.72,9.84,10.1 +efficientnet_cc_b0_4e,3425.03,298.962,1024,224,0.41,9.42,13.31 +efficientnet_cc_b0_8e,3412.18,300.089,1024,224,0.42,9.42,24.01 +poolformer_s12,3407.92,300.463,1024,224,1.82,5.53,11.92 +mixer_s16_224,3404.99,300.723,1024,224,3.79,5.97,18.53 +regnety_016,3352.08,305.469,1024,224,1.63,8.04,11.2 +tf_efficientnet_es,3332.57,307.258,1024,224,1.81,8.73,5.44 +nf_seresnet26,3311.28,309.234,1024,224,2.41,7.36,17.4 +repvgg_a2,3302.08,310.095,1024,224,5.7,6.26,28.21 +nf_ecaresnet26,3298.62,310.42,1024,224,2.41,7.36,16.0 +gernet_l,3272.91,312.859,1024,256,4.57,8.0,31.08 +vit_small_patch32_384,3271.28,313.014,1024,384,3.45,8.25,22.92 +tf_efficientnet_cc_b0_4e,3244.05,315.642,1024,224,0.41,9.42,13.31 +tf_efficientnet_cc_b0_8e,3240.14,316.023,1024,224,0.42,9.42,24.01 +mixnet_m,3205.49,319.438,1024,224,0.36,8.19,5.01 +resnest14d,3201.02,319.884,1024,224,2.76,7.33,10.61 +skresnet34,3189.73,321.016,1024,224,3.67,5.13,22.28 +xcit_tiny_12_p16_224_dist,3156.96,324.349,1024,224,1.24,6.29,6.72 +xcit_tiny_12_p16_224,3156.35,324.412,1024,224,1.24,6.29,6.72 +resnext26ts,3110.32,329.214,1024,256,2.43,10.52,10.3 +gmixer_12_224,3103.83,329.902,1024,224,2.67,7.26,12.7 +legacy_seresnext26_32x4d,3102.65,330.028,1024,224,2.49,9.39,16.79 +tf_mixnet_m,3073.07,333.204,1024,224,0.36,8.19,5.01 +resnet26t,3052.48,335.451,1024,256,3.35,10.52,16.01 +vit_tiny_r_s16_p8_384,3050.47,167.831,512,384,1.34,6.49,6.36 +tf_efficientnet_b1_ns,3049.35,335.796,1024,240,0.71,10.88,7.79 +tf_efficientnet_b1_ap,3043.26,336.469,1024,240,0.71,10.88,7.79 +tf_efficientnet_b1,3043.05,336.492,1024,240,0.71,10.88,7.79 +seresnext26ts,3036.78,337.182,1024,256,2.43,10.52,10.39 +eca_resnext26ts,3034.01,337.495,1024,256,2.43,10.52,10.3 +efficientnet_lite2,3032.0,337.716,1024,260,0.89,12.9,6.09 +nf_regnet_b1,3025.41,338.455,1024,288,1.02,9.2,10.22 +gcresnext26ts,2985.04,343.027,1024,256,2.43,10.53,10.48 +ecaresnet101d_pruned,2955.16,346.499,1024,224,3.48,7.69,24.88 +efficientnet_b1,2953.49,346.695,1024,256,0.77,12.22,7.79 +nf_regnet_b2,2921.49,350.493,1024,272,1.22,9.27,14.31 +seresnext26t_32x4d,2908.45,352.064,1024,224,2.7,10.09,16.81 +seresnext26tn_32x4d,2907.22,352.213,1024,224,2.7,10.09,16.81 +ecaresnext50t_32x4d,2903.25,352.694,1024,224,2.7,10.09,15.41 +ecaresnext26t_32x4d,2897.07,353.448,1024,224,2.7,10.09,15.41 +seresnext26d_32x4d,2889.43,354.382,1024,224,2.73,10.19,16.81 +ecaresnetlight,2885.43,354.874,1024,224,4.11,8.42,30.16 +convnext_nano_hnf,2883.27,355.139,1024,224,2.45,8.37,15.59 +crossvit_tiny_240,2879.48,355.606,1024,240,1.57,9.08,7.01 +tf_efficientnet_lite2,2824.56,362.522,1024,260,0.89,12.9,6.09 +crossvit_9_240,2817.15,363.474,1024,240,1.85,9.52,8.55 +rexnetr_200,2812.94,182.004,512,224,1.59,15.11,16.52 +resnetv2_50,2787.72,367.312,1024,224,4.11,11.11,25.55 +tresnet_m,2773.53,369.19,1024,224,5.74,7.31,31.39 +rexnet_200,2765.2,185.146,512,224,1.56,14.91,16.37 +eca_botnext26ts_256,2754.13,371.793,1024,256,2.46,11.6,10.59 +efficientnet_b3_pruned,2735.66,374.303,1024,300,1.04,11.86,9.86 +botnet26t_256,2735.31,374.35,1024,256,3.32,11.98,12.49 +crossvit_9_dagger_240,2731.57,374.862,1024,240,1.99,9.97,8.78 +eca_halonext26ts,2696.48,379.742,1024,256,2.44,11.46,10.76 +resnet50,2695.53,379.874,1024,224,4.11,11.11,25.56 +tv_resnet50,2695.5,379.879,1024,224,4.11,11.11,25.56 +halonet26t,2694.88,379.966,1024,256,3.19,11.69,12.48 +swsl_resnet50,2694.7,379.993,1024,224,4.11,11.11,25.56 +gluon_resnet50_v1b,2693.21,380.199,1024,224,4.11,11.11,25.56 +ssl_resnet50,2691.71,380.414,1024,224,4.11,11.11,25.56 +convit_tiny,2683.21,381.617,1024,224,1.26,7.94,5.71 +hrnet_w18_small_v2,2645.65,387.038,1024,224,2.62,9.65,15.6 +resnetv2_50d,2626.53,389.852,1024,224,4.35,11.92,25.57 +resnetv2_50t,2624.52,390.152,1024,224,4.32,11.82,25.57 +vovnet39a,2619.13,390.954,1024,224,7.09,6.73,22.6 +vit_small_resnet26d_224,2608.49,392.55,1024,224,5.07,11.12,63.61 +vit_base2_patch32_256,2600.96,393.689,1024,256,7.79,7.76,119.46 +resnet32ts,2596.05,394.433,1024,256,4.63,11.58,17.96 +bat_resnext26ts,2595.92,394.45,1024,256,2.53,12.51,10.73 +cspresnet50,2575.36,397.599,1024,256,4.54,11.5,21.62 +resnet33ts,2567.21,398.865,1024,256,4.76,11.66,19.68 +dpn68b,2553.11,401.065,1024,224,2.35,10.47,12.61 +gluon_resnet50_v1c,2551.88,401.26,1024,224,4.35,11.92,25.58 +ese_vovnet39b,2548.89,401.728,1024,224,7.09,6.74,24.57 +eca_vovnet39b,2541.8,402.85,1024,224,7.09,6.74,22.6 +cspresnext50,2540.21,403.103,1024,224,3.1,12.14,20.57 +gmlp_ti16_224,2538.75,403.335,1024,224,1.34,7.55,5.87 +resnet50t,2537.39,403.552,1024,224,4.32,11.82,25.57 +legacy_seresnet50,2533.72,404.136,1024,224,3.88,10.6,28.09 +gluon_resnet50_v1d,2530.95,404.578,1024,224,4.35,11.92,25.58 +resnet50d,2529.63,404.786,1024,224,4.35,11.92,25.58 +dpn68,2517.34,406.764,1024,224,2.35,10.47,12.61 +vgg11_bn,2508.2,204.119,512,224,7.62,7.44,132.87 +selecsls84,2496.95,410.085,1024,224,5.9,7.57,50.95 +seresnet33ts,2496.28,410.197,1024,256,4.76,11.66,19.78 +eca_resnet33ts,2490.37,411.17,1024,256,4.76,11.66,19.68 +efficientnet_b0_gn,2478.81,413.089,1024,224,0.42,6.75,5.29 +gcresnet33ts,2444.46,418.89,1024,256,4.76,11.68,19.88 +deit_small_patch16_224,2440.46,419.58,1024,224,4.61,11.95,22.05 +vit_small_patch16_224,2439.92,419.672,1024,224,4.61,11.95,22.05 +pit_s_224,2435.64,420.407,1024,224,2.88,11.56,23.46 +mixnet_l,2434.72,210.28,512,224,0.58,10.84,7.33 +lambda_resnet26t,2428.26,421.688,1024,256,3.02,11.87,10.96 +cspresnet50w,2424.86,422.28,1024,256,5.04,12.19,28.12 +pit_s_distilled_224,2412.77,424.396,1024,224,2.9,11.64,24.04 +cspresnet50d,2411.73,424.578,1024,256,4.86,12.55,21.64 +seresnet50,2411.59,424.604,1024,224,4.11,11.13,28.09 +deit_small_distilled_patch16_224,2408.06,425.226,1024,224,4.63,12.02,22.44 +mobilevit_xs,2390.72,214.149,512,256,1.05,16.33,2.32 +dla60,2381.05,430.049,1024,224,4.26,10.16,22.04 +tf_efficientnet_b2,2362.66,433.397,1024,260,1.02,13.83,9.11 +tf_efficientnet_b2_ns,2360.61,433.773,1024,260,1.02,13.83,9.11 +tf_efficientnet_b2_ap,2357.47,434.351,1024,260,1.02,13.83,9.11 +densenet121,2354.51,434.897,1024,224,2.87,6.9,7.98 +tv_densenet121,2349.07,435.903,1024,224,2.87,6.9,7.98 +tf_mixnet_l,2339.37,218.851,512,224,0.58,10.84,7.33 +resnest26d,2327.85,439.878,1024,224,3.64,9.97,17.07 +resnetaa50d,2303.21,444.583,1024,224,5.39,12.44,25.58 +seresnet50t,2290.22,447.107,1024,224,4.32,11.83,28.1 +res2net50_48w_2s,2276.16,449.868,1024,224,4.18,11.72,25.29 +resnetblur50,2275.68,449.961,1024,224,5.16,12.02,25.56 +ecaresnet50d,2271.69,450.753,1024,224,4.35,11.93,25.58 +haloregnetz_b,2267.5,451.584,1024,224,1.97,11.94,11.68 +resmlp_24_224,2261.81,452.72,1024,224,5.96,10.91,30.02 +resmlp_24_distilled_224,2260.86,452.909,1024,224,5.96,10.91,30.02 +densenet121d,2250.37,455.023,1024,224,3.11,7.7,8.0 +resnetrs50,2250.35,455.026,1024,224,4.48,12.14,35.69 +efficientnet_b0_g8_gn,2225.86,460.033,1024,224,0.66,6.75,6.56 +regnetx_032,2206.94,463.978,1024,224,3.2,11.37,15.3 +efficientnet_b2,2203.49,464.703,1024,288,1.12,16.2,9.11 +efficientnet_b2a,2199.86,465.471,1024,288,1.12,16.2,9.11 +gluon_resnet50_v1s,2199.02,465.65,1024,224,5.47,13.52,25.68 +visformer_small,2180.09,469.693,1024,224,4.88,11.43,40.22 +adv_inception_v3,2153.56,475.475,1024,299,5.73,8.97,23.83 +tf_inception_v3,2151.76,475.872,1024,299,5.73,8.97,23.83 +inception_v3,2150.38,476.182,1024,299,5.73,8.97,23.83 +resnetblur50d,2147.4,476.842,1024,224,5.4,12.82,25.58 +gluon_inception_v3,2143.59,477.682,1024,299,5.73,8.97,23.83 +vovnet57a,2143.19,477.778,1024,224,8.95,7.52,36.64 +efficientnet_cc_b1_8e,2141.85,478.078,1024,240,0.75,15.44,39.72 +densenetblur121d,2137.06,479.149,1024,224,3.11,7.9,8.0 +cspresnext50_iabn,2134.77,479.664,1024,256,4.02,15.86,20.57 +efficientnet_em,2126.8,481.463,1024,240,3.04,14.34,6.9 +vit_base_resnet26d_224,2112.13,484.804,1024,224,6.97,13.16,101.4 +cspdarknet53_iabn,2094.24,488.947,1024,256,6.53,16.81,27.64 +seresnetaa50d,2085.24,491.057,1024,224,5.4,12.46,28.11 +ese_vovnet57b,2083.49,491.467,1024,224,8.95,7.52,38.61 +ssl_resnext50_32x4d,2081.05,492.045,1024,224,4.26,14.4,25.03 +swsl_resnext50_32x4d,2080.34,492.214,1024,224,4.26,14.4,25.03 +gluon_resnext50_32x4d,2080.29,492.225,1024,224,4.26,14.4,25.03 +tv_resnext50_32x4d,2079.74,492.355,1024,224,4.26,14.4,25.03 +resnext50_32x4d,2076.82,493.048,1024,224,4.26,14.4,25.03 +tf_efficientnet_em,2070.88,494.462,1024,240,3.04,14.34,6.9 +tf_efficientnet_cc_b1_8e,2062.84,496.39,1024,240,0.75,15.44,39.72 +res2net50_26w_4s,2042.43,501.35,1024,224,4.28,12.61,25.7 +tf_efficientnetv2_b3,2017.91,507.444,1024,300,3.04,15.74,14.36 +skresnet50,2017.85,507.457,1024,224,4.11,12.5,25.8 +nf_seresnet50,2013.68,508.507,1024,224,4.21,11.13,28.09 +regnetx_040,2006.2,510.404,1024,224,3.99,12.2,22.12 +nf_ecaresnet50,2003.47,511.102,1024,224,4.21,11.13,25.56 +efficientnetv2_rw_t,2000.48,511.861,1024,288,3.19,16.42,13.65 +gcresnet50t,1986.86,515.369,1024,256,5.42,14.67,25.9 +dla60x,1985.6,515.699,1024,224,3.54,13.8,17.35 +resnext50d_32x4d,1981.96,516.647,1024,224,4.5,15.2,25.05 +gc_efficientnetv2_rw_t,1932.03,529.997,1024,288,3.2,16.45,13.68 +convnext_tiny_hnf,1928.02,531.1,1024,224,4.47,13.44,28.59 +res2net50_14w_8s,1927.65,531.204,1024,224,4.21,13.28,25.06 +sehalonet33ts,1927.17,265.662,512,256,3.55,14.7,13.69 +skresnet50d,1925.97,531.666,1024,224,4.36,13.31,25.82 +densenet169,1921.61,532.872,1024,224,3.4,7.3,14.15 +gcresnext50ts,1919.22,533.536,1024,256,3.75,15.46,15.67 +dla60_res2net,1910.95,535.844,1024,224,4.15,12.34,20.85 +seresnext50_32x4d,1907.77,536.737,1024,224,4.26,14.42,27.56 +res2next50,1905.88,537.271,1024,224,4.2,13.71,24.67 +gluon_seresnext50_32x4d,1905.67,537.33,1024,224,4.26,14.42,27.56 +legacy_seresnext50_32x4d,1903.73,537.877,1024,224,4.26,14.42,27.56 +lambda_resnet26rpt_256,1903.17,269.013,512,256,3.16,11.87,10.99 +mobilevit_s,1899.79,269.492,512,256,2.03,19.94,5.58 +repvgg_b1g4,1890.54,541.63,1024,224,8.15,10.64,39.97 +resnest50d_1s4x24d,1888.24,542.29,1024,224,4.43,13.57,25.68 +darknet53,1853.82,276.175,512,256,9.31,12.39,41.61 +coat_lite_tiny,1848.83,553.849,1024,224,1.6,11.65,5.72 +nf_regnet_b3,1839.82,556.565,1024,320,2.05,14.61,18.59 +dla60_res2next,1833.06,558.612,1024,224,3.49,13.17,17.03 +cspdarknet53,1812.82,282.421,512,256,6.57,16.81,27.64 +semobilevit_s,1803.13,283.938,512,256,2.03,19.95,5.74 +efficientnet_lite3,1799.71,284.476,512,300,1.65,21.85,8.2 +regnetz_b16,1794.65,570.57,1024,288,2.39,16.43,9.72 +ecaresnet26t,1785.57,573.473,1024,320,5.24,16.44,16.01 +coat_lite_mini,1766.02,579.817,1024,224,2.0,12.25,11.01 +poolformer_s24,1765.88,579.868,1024,224,3.41,10.68,21.39 +mixnet_xl,1734.71,295.138,512,224,0.93,14.57,11.9 +vit_small_r26_s32_224,1732.3,591.11,1024,224,3.56,9.85,36.43 +resnetv2_101,1697.95,603.065,1024,224,7.83,16.23,44.54 +xcit_tiny_24_p16_224_dist,1687.36,606.851,1024,224,2.34,11.82,12.12 +xcit_tiny_24_p16_224,1682.06,608.762,1024,224,2.34,11.82,12.12 +tf_efficientnet_lite3,1679.33,304.873,512,300,1.65,21.85,8.2 +repvgg_b1,1666.24,614.545,1024,224,13.16,10.64,57.42 +sebotnet33ts_256,1660.84,231.195,384,256,3.89,17.46,13.7 +tv_resnet101,1659.62,616.997,1024,224,7.83,16.23,44.55 +gluon_resnet101_v1b,1659.37,617.087,1024,224,7.83,16.23,44.55 +convnext_tiny,1658.71,617.331,1024,224,4.47,13.44,28.59 +resnet101,1655.84,618.405,1024,224,7.83,16.23,44.55 +xcit_small_12_p16_224_dist,1652.32,619.718,1024,224,4.82,12.58,26.25 +xcit_small_12_p16_224,1648.97,620.98,1024,224,4.82,12.58,26.25 +resnetv2_101d,1631.54,627.614,1024,224,8.07,17.04,44.56 +vit_base_resnet50d_224,1631.31,627.703,1024,224,8.73,16.92,110.97 +lambda_resnet50ts,1601.2,639.507,1024,256,5.07,17.48,21.54 +gluon_resnet101_v1c,1600.5,639.785,1024,224,8.08,17.04,44.57 +gluon_resnet101_v1d,1596.44,641.412,1024,224,8.08,17.04,44.57 +dla102,1582.26,647.16,1024,224,7.19,14.18,33.27 +gmixer_24_224,1582.16,647.204,1024,224,5.28,14.45,24.72 +wide_resnet50_2,1579.37,648.345,1024,224,11.43,14.4,68.88 +twins_svt_small,1577.35,649.176,1024,224,2.94,13.75,24.06 +resnest50d,1570.05,652.193,1024,224,5.4,14.36,27.48 +res2net50_26w_6s,1562.92,655.169,1024,224,6.33,15.28,37.05 +regnetx_080,1553.61,659.095,1024,224,8.02,14.06,39.57 +crossvit_small_240,1546.63,662.07,1024,240,5.63,18.17,26.86 +xcit_nano_12_p16_384_dist,1543.06,663.599,1024,384,1.64,12.15,3.05 +resnetv2_50x1_bit_distilled,1541.41,664.315,1024,224,4.23,11.11,25.55 +legacy_seresnet101,1534.0,667.522,1024,224,7.61,15.74,49.33 +resmlp_36_224,1516.69,675.14,1024,224,8.91,16.33,44.69 +resmlp_36_distilled_224,1515.97,675.455,1024,224,8.91,16.33,44.69 +halonet50ts,1506.38,679.762,1024,256,5.3,19.2,22.73 +resnetaa101d,1500.11,682.602,1024,224,9.12,17.56,44.57 +vgg13_bn,1493.45,342.818,512,224,11.33,12.25,133.05 +densenet201,1492.3,686.177,1024,224,4.34,7.85,20.01 +seresnet101,1488.58,687.891,1024,224,7.84,16.27,49.33 +vit_large_patch32_224,1480.53,691.629,1024,224,15.39,13.3,306.54 +fbnetv3_g,1476.24,693.641,1024,288,1.77,21.09,16.62 +ese_vovnet39b_evos,1470.17,696.502,1024,224,7.07,6.74,24.58 +convnext_tiny_hnfd,1463.28,699.785,1024,224,4.78,14.64,28.63 +gluon_resnet101_v1s,1458.5,702.078,1024,224,9.19,18.64,44.67 +regnetx_064,1451.61,352.7,512,224,6.49,16.37,26.21 +nf_resnet101,1444.19,709.036,1024,224,8.01,16.23,44.55 +lamhalobotnet50ts_256,1432.71,714.715,1024,256,5.02,18.44,22.57 +resnetblur101d,1431.35,715.392,1024,224,9.12,17.94,44.57 +ecaresnet101d,1429.1,716.517,1024,224,8.08,17.07,44.57 +nf_resnet50,1421.81,720.193,1024,288,6.88,18.37,25.56 +hrnet_w18,1420.84,720.684,1024,224,4.32,16.31,21.3 +vit_base_r26_s32_224,1419.32,721.457,1024,224,6.81,12.36,101.38 +crossvit_15_240,1416.83,722.727,1024,240,5.81,19.77,27.53 +tresnet_l,1403.47,729.603,1024,224,10.88,11.9,55.99 +gmlp_s16_224,1393.69,734.725,1024,224,4.42,15.1,19.42 +resnetv2_50d_frn,1389.08,737.162,1024,224,4.33,11.92,25.59 +regnety_032,1387.11,738.212,1024,288,5.29,18.61,19.44 +tf_efficientnet_b3_ap,1384.27,369.858,512,300,1.87,23.83,12.23 +tf_efficientnet_b3,1382.58,370.309,512,300,1.87,23.83,12.23 +tf_efficientnet_b3_ns,1381.54,370.587,512,300,1.87,23.83,12.23 +mixer_l32_224,1377.05,743.605,1024,224,11.27,19.86,206.94 +vit_base_patch32_384,1375.53,744.425,1024,384,13.06,16.5,88.3 +crossvit_15_dagger_240,1372.46,746.094,1024,240,6.13,20.43,28.21 +resnet51q,1370.65,747.074,1024,288,8.07,20.94,35.7 +resnet50_gn,1358.57,753.722,1024,224,4.14,11.11,25.56 +cait_xxs24_224,1351.39,757.722,1024,224,2.53,20.29,11.96 +efficientnet_b3,1344.22,380.877,512,320,2.01,26.52,12.23 +efficientnet_b3a,1343.43,381.1,512,320,2.01,26.52,12.23 +xception,1343.1,381.193,512,299,8.4,35.83,22.86 +dla102x,1336.12,766.382,1024,224,5.89,19.42,26.31 +mixer_b16_224,1331.47,769.062,1024,224,12.62,14.53,59.88 +mixer_b16_224_miil,1329.31,770.309,1024,224,12.62,14.53,59.88 +skresnext50_32x4d,1318.82,776.433,1024,224,4.5,17.18,27.48 +botnet50ts_256,1318.29,388.369,512,256,5.54,22.23,22.74 +swsl_resnext101_32x4d,1313.68,779.478,1024,224,8.01,21.23,44.18 +gluon_resnext101_32x4d,1313.37,779.659,1024,224,8.01,21.23,44.18 +resnext101_32x4d,1312.5,780.172,1024,224,8.01,21.23,44.18 +ssl_resnext101_32x4d,1311.93,780.515,1024,224,8.01,21.23,44.18 +resnetv2_50d_evob,1302.41,786.222,1024,224,4.33,11.92,25.59 +repvgg_b2g4,1294.35,791.118,1024,224,12.63,12.9,61.76 +swin_tiny_patch4_window7_224,1284.93,796.915,1024,224,4.51,17.06,28.29 +res2net50_26w_8s,1282.33,798.529,1024,224,8.37,17.95,48.4 +res2net101_26w_4s,1280.42,799.726,1024,224,8.1,18.45,45.21 +halo2botnet50ts_256,1278.73,400.387,512,256,5.02,21.78,22.64 +twins_pcpvt_small,1266.87,808.275,1024,224,3.83,18.08,24.11 +resnest50d_4s2x40d,1247.1,821.089,1024,224,4.4,17.94,30.42 +nf_seresnet101,1245.83,821.925,1024,224,8.02,16.27,49.33 +resnet61q,1239.28,826.269,1024,288,9.87,21.52,36.85 +vgg16_bn,1239.15,413.174,512,224,15.5,13.56,138.37 +nf_ecaresnet101,1239.13,826.374,1024,224,8.01,16.27,44.55 +eca_nfnet_l0,1229.58,832.793,1024,288,7.12,17.29,24.14 +hrnet_w32,1229.04,833.146,1024,224,8.97,22.02,41.23 +xception41p,1223.32,418.518,512,299,9.25,39.86,26.91 +nfnet_l0,1223.17,837.152,1024,288,7.13,17.29,35.07 +ese_vovnet99b_iabn,1219.1,839.947,1024,224,16.49,11.27,63.2 +convit_small,1215.88,842.173,1024,224,5.76,17.87,27.78 +hrnet_w30,1211.94,844.908,1024,224,8.15,21.21,37.71 +regnety_040,1211.74,422.521,512,288,6.61,20.3,20.65 +regnetv_040,1210.32,423.017,512,288,6.6,20.3,20.64 +vit_tiny_patch16_384,1209.55,846.58,1024,384,4.7,25.39,5.79 +dpn92,1207.37,848.107,1024,224,6.54,18.21,37.67 +seresnext101_32x4d,1202.94,851.233,1024,224,8.02,21.26,48.96 +gluon_seresnext101_32x4d,1201.66,852.139,1024,224,8.02,21.26,48.96 +legacy_seresnext101_32x4d,1201.03,852.591,1024,224,8.02,21.26,48.96 +swin_s3_tiny_224,1197.86,854.845,1024,224,4.64,19.13,28.33 +poolformer_s36,1192.85,858.435,1024,224,5.0,15.82,30.86 +ese_vovnet99b,1182.33,866.068,1024,224,16.51,11.27,63.2 +resnetv2_152,1176.91,870.059,1024,224,11.55,22.56,60.19 +xcit_nano_12_p8_224_dist,1168.85,876.058,1024,224,2.16,15.71,3.05 +xcit_nano_12_p8_224,1164.34,879.454,1024,224,2.16,15.71,3.05 +gluon_resnet152_v1b,1158.23,884.096,1024,224,11.56,22.56,60.19 +tv_resnet152,1157.57,884.6,1024,224,11.56,22.56,60.19 +resnet152,1156.18,885.659,1024,224,11.56,22.56,60.19 +resnetv2_152d,1145.88,893.624,1024,224,11.8,23.36,60.2 +regnetz_c16,1139.93,449.135,512,320,3.92,25.88,13.46 +ecaresnet50t,1137.76,900.002,1024,320,8.82,24.13,25.57 +repvgg_b2,1135.04,902.153,1024,224,20.45,12.9,89.02 +gluon_resnet152_v1c,1127.87,907.895,1024,224,11.8,23.36,60.21 +gluon_resnet152_v1d,1126.2,909.24,1024,224,11.8,23.36,60.21 +inception_v4,1102.19,929.046,1024,299,12.28,15.09,42.68 +regnety_040s_gn,1097.43,933.073,1024,224,4.03,12.29,20.65 +swin_v2_cr_tiny_224,1095.67,934.572,1024,224,4.66,30.64,28.33 +convnext_small,1094.72,935.388,1024,224,8.7,21.56,50.22 +xception41,1088.12,470.521,512,299,9.28,39.86,26.97 +convmixer_1024_20_ks9_p14,1086.94,942.076,1024,224,5.55,5.51,24.38 +vit_small_resnet50d_s16_224,1086.45,942.502,1024,224,13.48,24.82,57.53 +xcit_tiny_12_p16_384_dist,1082.39,946.043,1024,384,3.64,18.26,6.72 +densenet161,1080.13,948.016,1024,224,7.79,11.06,28.68 +mixnet_xxl,1077.24,356.453,384,224,2.04,23.43,23.96 +dla169,1074.25,953.209,1024,224,11.6,20.2,53.39 +nfnet_f0,1065.5,961.034,1024,256,12.62,18.05,71.49 +legacy_seresnet152,1057.8,968.029,1024,224,11.33,22.08,66.82 +gluon_resnet152_v1s,1056.41,969.306,1024,224,12.92,24.96,60.32 +vgg19_bn,1055.4,485.111,512,224,19.66,14.86,143.68 +regnetx_120,1050.75,487.26,512,224,12.13,21.37,46.11 +nest_tiny,1050.35,487.443,512,224,5.83,25.48,17.06 +coat_lite_small,1048.4,976.705,1024,224,3.96,22.09,19.84 +vit_base_patch16_224_miil,1045.49,979.427,1024,224,17.58,23.9,86.54 +crossvit_18_240,1039.49,985.088,1024,240,9.05,26.26,43.27 +swin_v2_cr_tiny_ns_224,1039.03,985.521,1024,224,4.66,30.64,28.33 +tresnet_xl,1037.95,986.545,1024,224,15.17,15.34,78.44 +jx_nest_tiny,1035.86,494.265,512,224,5.83,25.48,17.06 +seresnet152,1034.7,989.644,1024,224,11.57,22.61,66.82 +deit_base_patch16_224,1019.44,1004.455,1024,224,17.58,23.9,86.57 +vit_base_patch16_224_sam,1015.42,1008.432,1024,224,17.58,23.9,86.57 +vit_base_patch16_224,1014.98,1008.871,1024,224,17.58,23.9,86.57 +crossvit_18_dagger_240,1009.97,1013.877,1024,240,9.5,27.03,44.27 +deit_base_distilled_patch16_224,1007.07,1016.791,1024,224,17.68,24.05,87.34 +regnety_120,1005.22,509.326,512,224,12.14,21.38,51.82 +repvgg_b3g4,1002.6,1021.328,1024,224,17.89,15.1,83.83 +volo_d1_224,967.03,1058.901,1024,224,6.94,24.43,26.63 +efficientnet_el_pruned,948.42,539.83,512,300,8.0,30.7,10.59 +efficientnet_el,942.13,543.435,512,300,8.0,30.7,10.59 +dm_nfnet_f0,931.91,1098.8,1024,256,12.62,18.05,71.49 +twins_pcpvt_base,930.89,1100.003,1024,224,6.68,25.25,43.83 +beit_base_patch16_224,930.84,1100.061,1024,224,17.58,23.9,86.53 +tf_efficientnet_el,925.74,553.06,512,300,8.0,30.7,10.59 +wide_resnet101_2,916.19,1117.657,1024,224,22.8,21.23,126.89 +twins_svt_base,914.55,1119.66,1024,224,8.59,26.33,56.07 +dla102x2,911.45,561.725,512,224,9.34,29.91,41.28 +cait_xxs36_224,908.72,1126.845,1024,224,3.77,30.34,17.3 +efficientnetv2_s,907.0,1128.974,1024,384,8.44,35.77,21.46 +resnetv2_50d_gn,896.28,1142.488,1024,288,7.24,19.7,25.57 +xception65p,889.27,575.737,512,299,13.91,52.48,39.82 +repvgg_b3,888.16,1152.929,1024,224,29.16,15.1,123.09 +tf_efficientnetv2_s_in21ft1k,886.83,1154.656,1024,384,8.44,35.77,21.46 +tf_efficientnetv2_s,886.38,1155.25,1024,384,8.44,35.77,21.46 +xcit_small_24_p16_224_dist,880.14,1163.431,1024,224,9.1,23.64,47.67 +xcit_small_24_p16_224,879.96,1163.673,1024,224,9.1,23.64,47.67 +resnetrs101,879.92,1163.729,1024,288,13.56,28.53,63.62 +efficientnetv2_rw_s,866.42,1181.861,1024,384,8.72,38.03,23.94 +dpn98,864.11,1185.015,1024,224,11.73,25.2,61.57 +pit_b_224,862.79,593.411,512,224,12.42,32.94,73.76 +ens_adv_inception_resnet_v2,856.99,1194.864,1024,299,13.18,25.06,55.84 +inception_resnet_v2,856.96,1194.905,1024,299,13.18,25.06,55.84 +pit_b_distilled_224,854.69,599.032,512,224,12.5,33.07,74.79 +nf_regnet_b4,850.27,1204.313,1024,384,4.7,28.61,30.21 +regnetx_160,849.7,602.551,512,224,15.99,25.52,54.28 +regnetz_d8,849.19,1205.844,1024,320,6.19,37.08,23.37 +swin_small_patch4_window7_224,843.01,1214.681,1024,224,8.77,27.47,49.61 +gluon_resnext101_64x4d,836.35,1224.352,1024,224,15.52,31.21,83.46 +resnet200,830.77,1232.576,1024,224,15.07,32.19,64.67 +regnetz_040,828.17,463.661,384,320,6.35,37.78,27.12 +regnetz_040h,823.76,466.142,384,320,6.43,37.94,28.94 +efficientnet_lite4,822.06,467.103,384,380,4.04,45.66,13.01 +hrnet_w40,819.73,1249.18,1024,224,12.75,25.29,57.56 +convnext_base,817.5,1252.582,1024,224,15.38,28.75,88.59 +xcit_tiny_12_p8_224,817.02,1253.32,1024,224,4.81,23.6,6.71 +convnext_base_in22ft1k,816.83,1253.608,1024,224,15.38,28.75,88.59 +xcit_tiny_12_p8_224_dist,816.44,1254.214,1024,224,4.81,23.6,6.71 +convnext_small_in22ft1k,815.72,1255.315,1024,224,15.38,28.75,88.59 +convnext_tiny_in22ft1k,814.36,1257.407,1024,224,15.38,28.75,88.59 +regnetz_b16_evos,811.63,630.813,512,288,2.36,16.43,9.74 +swsl_resnext101_32x8d,805.58,1271.112,1024,224,16.48,31.21,88.79 +regnety_064,804.87,636.11,512,288,10.56,27.11,30.58 +ssl_resnext101_32x8d,804.25,1273.227,1024,224,16.48,31.21,88.79 +ig_resnext101_32x8d,804.24,1273.235,1024,224,16.48,31.21,88.79 +resnext101_32x8d,804.11,1273.443,1024,224,16.48,31.21,88.79 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+swin_v2_cr_base_384,136.57,1405.886,192,384,50.61,374.82,87.88 +cait_s24_384,132.93,3851.731,512,384,32.17,245.31,47.06 +xcit_large_24_p16_384_dist,132.54,3862.869,512,384,105.35,137.17,189.1 +efficientnetv2_xl,127.7,3007.081,384,512,93.85,247.32,208.12 +tf_efficientnetv2_xl_in21ft1k,126.72,3030.326,384,512,93.85,247.32,208.12 +resnest269e,122.23,3141.713,384,416,77.69,171.98,110.93 +convnext_xlarge_384_in22ft1k,113.66,1689.239,192,384,179.18,168.99,350.2 +efficientnet_b7,111.61,860.145,96,600,38.33,289.94,66.35 +swin_large_patch4_window12_384,111.13,1151.803,128,384,104.08,202.16,196.74 +resnetrs420,109.22,4687.594,512,416,108.45,213.79,191.89 +nfnet_f3,108.69,4710.42,512,416,115.58,141.78,254.92 +tf_efficientnet_b7_ns,108.52,884.628,96,600,38.33,289.94,66.35 +tf_efficientnet_b7,108.51,884.669,96,600,38.33,289.94,66.35 +tf_efficientnet_b7_ap,108.41,885.546,96,600,38.33,289.94,66.35 +convmixer_1536_20,105.15,9738.155,1024,224,48.68,33.03,51.63 +xcit_large_24_p8_224,98.65,5189.87,512,224,141.23,181.56,188.93 +xcit_large_24_p8_224_dist,98.5,5198.076,512,224,141.23,181.56,188.93 +dm_nfnet_f3,97.31,5261.505,512,416,115.58,141.78,254.92 +resnetv2_152x2_bit_teacher_384,96.06,2664.909,256,384,136.16,132.56,236.34 +resnetv2_50x3_bitm,93.55,1368.206,128,448,145.7,133.37,217.32 +vit_large_patch16_384,91.35,2802.38,256,384,191.21,270.24,304.72 +vit_giant_patch14_224,90.49,5658.11,512,224,267.18,192.64,1012.61 +cait_s36_384,89.11,5745.925,512,384,47.99,367.4,68.37 +ig_resnext101_32x48d,87.36,2197.696,192,224,153.57,131.06,828.41 +swin_v2_cr_large_384,86.85,1473.707,128,384,109.02,466.67,196.68 +beit_large_patch16_384,79.29,3228.802,256,384,191.21,270.24,305.0 +xcit_small_24_p8_384_dist,74.05,6914.533,512,384,105.24,265.91,47.63 +resnetv2_152x2_bitm,70.66,2717.055,192,448,184.99,180.43,236.34 +efficientnet_b8,69.61,1379.103,96,672,63.48,442.89,87.41 +tf_efficientnet_b8,68.01,1411.465,96,672,63.48,442.89,87.41 +tf_efficientnet_b8_ap,68.0,1411.838,96,672,63.48,442.89,87.41 +volo_d3_448,66.4,2891.706,192,448,96.33,446.83,86.63 +nfnet_f4,59.8,6420.863,384,512,216.26,262.26,316.07 +dm_nfnet_f4,58.08,4407.375,256,512,216.26,262.26,316.07 +resnetv2_101x3_bitm,57.61,2221.888,128,448,280.33,194.78,387.93 +vit_gigantic_patch14_224,55.06,6974.141,384,224,483.95,275.37,1844.44 +xcit_medium_24_p8_384_dist,55.01,4653.657,256,384,186.67,354.73,84.32 +volo_d4_448,49.32,2595.126,128,448,197.13,527.35,193.41 +swin_v2_cr_giant_224,47.35,2703.11,128,224,483.88,342.95,2598.76 +nfnet_f5,43.8,5844.773,256,544,290.97,349.71,377.21 +swin_v2_cr_huge_384,40.54,1578.782,64,384,352.16,696.31,657.94 +tf_efficientnet_l2_ns_475,39.18,1633.537,64,475,172.11,609.89,480.31 +dm_nfnet_f5,39.13,6543.097,256,544,290.97,349.71,377.21 +nfnet_f6,34.31,7461.788,256,576,378.69,452.2,438.36 +volo_d5_448,34.12,3751.116,128,448,315.06,737.92,295.91 +xcit_large_24_p8_384_dist,33.15,5792.568,192,384,415.0,531.82,188.93 +beit_large_patch16_512,32.17,2983.777,96,512,362.24,656.39,305.67 +dm_nfnet_f6,30.6,8365.588,256,576,378.69,452.2,438.36 +cait_m36_384,30.38,8425.311,256,384,173.11,734.81,271.22 +nfnet_f7,26.68,9596.214,256,608,480.39,570.85,499.5 +volo_d5_512,23.97,4004.478,96,512,425.09,1105.37,296.09 +resnetv2_152x4_bitm,18.45,3469.53,64,480,844.84,414.26,936.53 +efficientnet_l2,14.11,1701.114,24,800,479.12,1707.39,480.31 +tf_efficientnet_l2_ns,13.9,1726.621,24,800,479.12,1707.39,480.31 +cait_m48_448,13.15,9732.974,128,448,329.41,1708.23,356.46 +swin_v2_cr_giant_384,13.09,1833.537,24,384,1451.0,1686.82,2598.76 diff --git a/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv index ff620b78..0eb5b865 100644 --- a/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv +++ b/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv @@ -1,696 +1,747 @@ -model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count -tinynet_e,52443.33,4.87,256,106,0.03,0.69,2.04 -lcnet_035,41836.65,6.108,256,224,0.03,1.04,1.64 -mobilenetv3_small_050,40675.32,6.283,256,224,0.03,0.92,1.59 -lcnet_050,37031.22,6.902,256,224,0.05,1.26,1.88 -mobilenetv3_small_075,33134.36,7.715,256,224,0.05,1.3,2.04 -mobilenetv3_small_100,30332.75,8.428,256,224,0.06,1.42,2.54 -tinynet_d,29729.64,8.599,256,152,0.05,1.42,2.34 -tf_mobilenetv3_small_minimal_100,28698.97,8.909,256,224,0.06,1.41,2.04 -tf_mobilenetv3_small_075,27515.61,9.292,256,224,0.05,1.3,2.04 -tf_mobilenetv3_small_100,25529.73,10.016,256,224,0.06,1.42,2.54 -lcnet_075,25351.21,10.087,256,224,0.1,1.99,2.36 -lcnet_100,21251.26,12.035,256,224,0.16,2.52,2.95 -mnasnet_small,20610.12,12.41,256,224,0.07,2.16,2.03 -levit_128s,18679.12,13.694,256,224,0.31,1.88,7.78 -mobilenetv2_035,18422.82,13.885,256,224,0.07,2.86,1.68 -ghostnet_050,17065.19,14.99,256,224,0.05,1.77,2.59 -regnetx_002,17008.51,15.04,256,224,0.2,2.16,2.68 -mnasnet_050,16943.72,15.098,256,224,0.11,3.07,2.22 -tinynet_c,16089.67,15.9,256,184,0.11,2.87,2.46 -mobilenetv2_050,15226.35,16.802,256,224,0.1,3.64,1.97 -regnety_002,15182.41,16.851,256,224,0.2,2.17,3.16 -semnasnet_050,14956.97,17.104,256,224,0.11,3.44,2.08 -lcnet_150,14301.96,17.889,256,224,0.34,3.79,4.5 -regnetx_004,13656.57,18.735,256,224,0.4,3.14,5.16 -gernet_s,13307.64,19.226,256,224,0.75,2.65,8.17 -mobilenetv3_large_075,12875.59,19.872,256,224,0.16,4.0,3.99 -levit_128,12869.05,19.881,256,224,0.41,2.71,9.21 -mnasnet_075,11851.07,21.591,256,224,0.23,4.77,3.17 -mobilenetv3_rw,11749.18,21.778,256,224,0.23,4.41,5.48 -hardcorenas_a,11724.1,21.825,256,224,0.23,4.38,5.26 -mobilenetv3_large_100,11546.8,22.16,256,224,0.23,4.41,5.48 -mobilenetv3_large_100_miil,11527.85,22.196,256,224,0.23,4.41,5.48 -levit_192,11521.32,22.208,256,224,0.66,3.2,10.95 -tf_mobilenetv3_large_075,11097.44,23.056,256,224,0.16,4.0,3.99 -ese_vovnet19b_slim_dw,11011.34,23.237,256,224,0.4,5.28,1.9 -tf_mobilenetv3_large_minimal_100,10807.48,23.676,256,224,0.22,4.4,3.92 -tinynet_b,10794.3,23.705,256,188,0.21,4.44,3.73 -hardcorenas_b,10649.59,24.027,256,224,0.26,5.09,5.18 -hardcorenas_c,10616.11,24.103,256,224,0.28,5.01,5.52 -mnasnet_100,10429.97,24.534,256,224,0.33,5.46,4.38 -mnasnet_b1,10405.42,24.591,256,224,0.33,5.46,4.38 -mixer_s32_224,10314.02,24.809,256,224,1.0,2.28,19.1 -ssl_resnet18,10228.31,25.016,256,224,1.82,2.48,11.69 -gluon_resnet18_v1b,10218.86,25.04,256,224,1.82,2.48,11.69 -swsl_resnet18,10183.71,25.126,256,224,1.82,2.48,11.69 -resnet18,10180.53,25.135,256,224,1.82,2.48,11.69 -tf_mobilenetv3_large_100,10049.81,25.462,256,224,0.23,4.41,5.48 -ghostnet_100,9984.48,25.628,256,224,0.15,3.55,5.18 -mobilenetv2_075,9980.04,25.64,256,224,0.22,5.86,2.64 -semnasnet_075,9964.54,25.68,256,224,0.23,5.54,2.91 -hardcorenas_d,9736.47,26.282,256,224,0.3,4.93,7.5 -seresnet18,9448.37,27.084,256,224,1.82,2.49,11.78 -spnasnet_100,9378.19,27.285,256,224,0.35,6.03,4.42 -vit_small_patch32_224,9330.47,27.426,256,224,1.15,2.5,22.88 -regnety_006,9290.2,27.545,256,224,0.61,4.33,6.06 -legacy_seresnet18,9195.77,27.828,256,224,1.82,2.49,11.78 -mobilenetv2_100,8931.8,28.65,256,224,0.31,6.68,3.5 -regnety_004,8913.44,28.71,256,224,0.41,3.89,4.34 -semnasnet_100,8878.3,28.823,256,224,0.32,6.23,3.89 -mnasnet_a1,8872.5,28.841,256,224,0.32,6.23,3.89 -hardcorenas_f,8746.45,29.258,256,224,0.35,5.57,8.2 -tinynet_a,8705.83,29.394,256,192,0.35,5.41,6.19 -efficientnet_lite0,8678.08,29.489,256,224,0.4,6.74,4.65 -levit_256,8605.17,29.738,256,224,1.13,4.23,18.89 -fbnetc_100,8589.17,29.794,256,224,0.4,6.51,5.57 -hardcorenas_e,8587.1,29.801,256,224,0.35,5.65,8.07 -resnet18d,8454.18,30.27,256,224,2.06,3.29,11.71 -tf_efficientnetv2_b0,8451.14,30.28,256,224,0.73,4.77,7.14 -ese_vovnet19b_slim,8409.91,30.429,256,224,1.69,3.52,3.17 -regnetx_008,8190.92,31.242,256,224,0.81,5.15,7.26 -vit_tiny_r_s16_p8_224,8188.54,31.252,256,224,0.44,2.06,6.34 -regnetx_006,7654.81,33.432,256,224,0.61,3.98,6.2 -ghostnet_130,7516.11,34.049,256,224,0.24,4.6,7.36 -tf_efficientnet_lite0,7513.34,34.061,256,224,0.4,6.74,4.65 -regnety_008,7334.93,34.89,256,224,0.81,5.25,6.26 -mnasnet_140,7212.43,35.483,256,224,0.6,7.71,7.12 -efficientnet_b0,7189.76,35.595,256,224,0.4,6.75,5.29 -rexnetr_100,6816.78,37.543,256,224,0.43,7.72,4.88 -mobilenetv2_110d,6785.21,37.718,256,224,0.45,8.71,4.52 -tf_efficientnet_b0_ns,6397.82,40.002,256,224,0.4,6.75,5.29 -tf_efficientnet_b0_ap,6366.01,40.201,256,224,0.4,6.75,5.29 -tf_efficientnet_b0,6345.74,40.33,256,224,0.4,6.75,5.29 -hrnet_w18_small,6240.1,41.014,256,224,1.61,5.72,13.19 -semnasnet_140,6194.36,41.317,256,224,0.6,8.87,6.11 -ese_vovnet19b_dw,6016.74,42.537,256,224,1.34,8.25,6.54 -mobilenetv2_140,6010.52,42.581,256,224,0.6,9.57,6.11 -resnet34,5949.09,43.021,256,224,3.67,3.74,21.8 -gluon_resnet34_v1b,5944.0,43.057,256,224,3.67,3.74,21.8 -tv_resnet34,5920.52,43.227,256,224,3.67,3.74,21.8 -gernet_m,5909.18,43.311,256,224,3.02,5.24,21.14 -efficientnet_lite1,5815.72,44.007,256,240,0.62,10.14,5.42 -selecsls42,5752.79,44.489,256,224,2.94,4.62,30.35 -selecsls42b,5752.33,44.492,256,224,2.98,4.62,32.46 -fbnetv3_b,5567.33,45.971,256,256,0.55,9.1,8.6 -efficientnet_b1_pruned,5558.39,46.045,256,240,0.4,6.21,6.33 -resnet26,5532.69,46.26,256,224,2.36,7.35,16.0 -skresnet18,5529.57,46.284,256,224,1.82,3.24,11.96 -efficientnet_es_pruned,5519.91,46.366,256,224,1.81,8.73,5.44 -efficientnet_es,5518.49,46.378,256,224,1.81,8.73,5.44 -tf_efficientnetv2_b1,5515.51,46.402,256,240,1.21,7.34,8.14 -rexnet_100,5500.83,46.527,256,224,0.41,7.44,4.8 -dla46_c,5464.03,46.84,256,224,0.58,4.5,1.3 -seresnet34,5439.78,47.05,256,224,3.67,3.74,21.96 -resnet34d,5325.4,48.06,256,224,3.91,4.54,21.82 -resnetblur18,5301.3,48.279,256,224,2.34,3.39,11.69 -legacy_seresnet34,5280.08,48.473,256,224,3.67,3.74,21.96 -rexnetr_130,5239.92,48.845,256,224,0.68,9.81,7.61 -tf_efficientnet_es,5226.26,48.971,256,224,1.81,8.73,5.44 -tf_efficientnet_lite1,5192.67,49.288,256,240,0.62,10.14,5.42 -levit_384,5136.88,49.824,256,224,2.36,6.26,39.13 -nf_regnet_b0,5081.73,50.365,256,256,0.64,5.58,8.76 -selecsls60,5015.37,51.032,256,224,3.59,5.52,30.67 -selecsls60b,5008.51,51.102,256,224,3.63,5.52,32.77 -mobilenetv2_120d,5006.42,51.123,256,224,0.69,11.97,5.83 -repvgg_b0,4831.81,52.969,256,224,3.41,6.15,15.82 -resnet26d,4774.01,53.612,256,224,2.6,8.15,16.01 -rexnetr_150,4621.39,55.383,256,224,0.89,11.13,9.78 -fbnetv3_d,4543.95,56.327,256,256,0.68,11.1,10.31 -nf_resnet26,4522.01,56.601,256,224,2.41,7.35,16.0 -deit_tiny_patch16_224,4516.94,56.664,256,224,1.26,5.97,5.72 -visformer_tiny,4514.36,56.695,256,224,1.27,5.72,10.32 -vit_tiny_patch16_224,4509.39,56.76,256,224,1.26,5.97,5.72 -efficientnet_lite2,4476.87,57.171,256,260,0.89,12.9,6.09 -xcit_nano_12_p16_224_dist,4461.13,57.373,256,224,0.56,4.17,3.05 -deit_tiny_distilled_patch16_224,4450.37,57.513,256,224,1.27,6.01,5.91 -xcit_nano_12_p16_224,4443.48,57.6,256,224,0.56,4.17,3.05 -pit_ti_distilled_224,4267.82,59.972,256,224,0.71,6.23,5.1 -pit_ti_224,4256.93,60.125,256,224,0.7,6.19,4.85 -resmlp_12_distilled_224,4163.6,61.475,256,224,3.01,5.5,15.35 -resmlp_12_224,4160.41,61.521,256,224,3.01,5.5,15.35 -gernet_l,4096.96,62.474,256,256,4.57,8.0,31.08 -tf_efficientnetv2_b2,4081.75,62.706,256,260,1.72,9.84,10.1 -legacy_seresnext26_32x4d,4060.33,63.037,256,224,2.49,9.39,16.79 -tf_efficientnet_b1,4046.06,63.259,256,240,0.71,10.88,7.79 -tf_efficientnet_b1_ap,4044.6,63.282,256,240,0.71,10.88,7.79 -tf_efficientnet_b1_ns,4042.64,63.313,256,240,0.71,10.88,7.79 -tf_efficientnet_lite2,4027.76,63.547,256,260,0.89,12.9,6.09 -resnext26ts,3956.89,64.685,256,256,2.43,10.52,10.3 -dla46x_c,3913.74,65.398,256,224,0.54,5.66,1.07 -efficientnet_b1,3903.13,65.577,256,256,0.77,12.22,7.79 -dla34,3901.31,65.607,256,224,3.07,5.02,15.74 -mixer_b32_224,3872.36,66.099,256,224,3.24,6.29,60.29 -rexnet_130,3847.96,66.517,256,224,0.68,9.71,7.56 -vit_base_patch32_224_sam,3843.13,66.599,256,224,4.41,5.01,88.22 -nf_seresnet26,3833.86,66.763,256,224,2.41,7.36,17.4 -eca_resnext26ts,3823.14,66.95,256,256,2.43,10.52,10.3 -vit_base_patch32_224,3821.26,66.98,256,224,4.41,5.01,88.22 -nf_ecaresnet26,3821.0,66.987,256,224,2.41,7.36,16.0 -seresnext26ts,3814.04,67.108,256,256,2.43,10.52,10.39 -dla60x_c,3762.66,68.025,256,224,0.59,6.01,1.32 -efficientnet_b2_pruned,3734.36,68.542,256,260,0.73,9.13,8.31 -regnetx_016,3682.98,69.498,256,224,1.62,7.93,9.19 -resnet26t,3677.69,69.597,256,256,3.35,10.52,16.01 -gcresnext26ts,3645.26,70.216,256,256,2.43,10.53,10.48 -rexnet_150,3639.9,70.32,256,224,0.9,11.21,9.73 -seresnext26tn_32x4d,3635.04,70.413,256,224,2.7,10.09,16.81 -seresnext26t_32x4d,3629.32,70.524,256,224,2.7,10.09,16.81 -ecaresnext50t_32x4d,3625.17,70.606,256,224,2.7,10.09,15.41 -seresnext26d_32x4d,3620.48,70.696,256,224,2.73,10.19,16.81 -ecaresnet50d_pruned,3618.55,70.735,256,224,2.53,6.43,19.94 -ecaresnext26t_32x4d,3617.96,70.747,256,224,2.7,10.09,15.41 -resnetv2_50,3573.69,71.622,256,224,4.11,11.11,25.55 -eca_botnext26ts_256,3538.36,72.339,256,256,2.46,11.6,10.59 -repvgg_a2,3525.89,72.594,256,224,5.7,6.26,28.21 -pit_xs_224,3490.24,73.336,256,224,1.4,7.71,10.62 -mixer_s16_224,3485.97,73.426,256,224,3.79,5.97,18.53 -pit_xs_distilled_224,3470.1,73.761,256,224,1.41,7.76,11.0 -eca_halonext26ts,3433.36,74.552,256,256,2.44,11.46,10.76 -gluon_resnet50_v1b,3424.93,74.734,256,224,4.11,11.11,25.56 -rexnetr_200,3422.25,74.791,256,224,1.59,15.11,16.52 -ssl_resnet50,3418.93,74.864,256,224,4.11,11.11,25.56 -resnet50,3416.87,74.911,256,224,4.11,11.11,25.56 -tv_resnet50,3416.58,74.915,256,224,4.11,11.11,25.56 -swsl_resnet50,3415.95,74.931,256,224,4.11,11.11,25.56 -ecaresnetlight,3410.59,75.049,256,224,4.11,8.42,30.16 -efficientnet_em,3345.86,76.5,256,240,3.04,14.34,6.9 -dpn68b,3321.6,77.058,256,224,2.35,10.47,12.61 -dpn68,3321.37,77.064,256,224,2.35,10.47,12.61 -resnet32ts,3318.56,77.131,256,256,4.63,11.58,17.96 -botnet26t_256,3309.73,77.335,256,256,3.32,11.98,12.49 -resnet33ts,3269.93,78.278,256,256,4.76,11.66,19.68 -resnetv2_50t,3252.33,78.701,256,224,4.32,11.82,25.57 -halonet26t,3247.75,78.812,256,256,3.19,11.69,12.48 -resnetv2_50d,3238.36,79.041,256,224,4.35,11.92,25.57 -gluon_resnet50_v1c,3234.34,79.139,256,224,4.35,11.92,25.58 -nf_regnet_b1,3220.71,79.473,256,288,1.02,9.2,10.22 -tf_efficientnet_em,3211.19,79.71,256,240,3.04,14.34,6.9 -nf_regnet_b2,3198.33,80.03,256,272,1.22,9.27,14.31 -xcit_tiny_12_p16_224_dist,3183.42,80.405,256,224,1.24,6.29,6.72 -xcit_tiny_12_p16_224,3177.02,80.567,256,224,1.24,6.29,6.72 -regnety_016,3168.83,80.775,256,224,1.63,8.04,11.2 -gmixer_12_224,3164.43,80.888,256,224,2.67,7.26,12.7 -tf_efficientnet_b2_ap,3144.11,81.41,256,260,1.02,13.83,9.11 -tf_efficientnet_b2,3133.02,81.698,256,260,1.02,13.83,9.11 -eca_resnet33ts,3132.75,81.706,256,256,4.76,11.66,19.68 -seresnet33ts,3132.5,81.713,256,256,4.76,11.66,19.78 -skresnet34,3122.38,81.975,256,224,3.67,5.13,22.28 -resnet50t,3114.92,82.173,256,224,4.32,11.82,25.57 -tf_efficientnet_b2_ns,3112.24,82.244,256,260,1.02,13.83,9.11 -gluon_resnet50_v1d,3111.66,82.259,256,224,4.35,11.92,25.58 -resnet50d,3107.36,82.374,256,224,4.35,11.92,25.58 -vovnet39a,3097.06,82.648,256,224,7.09,6.73,22.6 -bat_resnext26ts,3052.18,83.861,256,256,2.53,12.51,10.73 -legacy_seresnet50,3043.79,84.094,256,224,3.88,10.6,28.09 -cspresnext50,3003.53,85.222,256,224,3.1,12.14,20.57 -gcresnet33ts,2986.89,85.696,256,256,4.76,11.68,19.88 -selecsls84,2981.3,85.857,256,224,5.9,7.57,50.95 -vit_small_patch32_384,2981.2,85.86,256,384,3.45,8.25,22.92 -ese_vovnet39b,2975.03,86.038,256,224,7.09,6.74,24.57 -efficientnet_b2a,2964.53,86.343,256,288,1.12,16.2,9.11 -efficientnet_b2,2962.37,86.406,256,288,1.12,16.2,9.11 -eca_vovnet39b,2962.13,86.413,256,224,7.09,6.74,22.6 -res2net50_48w_2s,2946.94,86.858,256,224,4.18,11.72,25.29 -seresnet50,2942.22,86.998,256,224,4.11,11.13,28.09 -efficientnet_b3_pruned,2917.98,87.72,256,300,1.04,11.86,9.86 -haloregnetz_b,2882.69,88.795,256,224,1.97,11.94,11.68 -vit_small_resnet26d_224,2880.85,88.851,256,224,5.07,11.12,63.61 -vgg11,2809.5,91.106,256,224,7.61,7.44,132.86 -gluon_resnext50_32x4d,2797.04,91.514,256,224,4.26,14.4,25.03 -swsl_resnext50_32x4d,2795.88,91.552,256,224,4.26,14.4,25.03 -tv_resnext50_32x4d,2795.77,91.554,256,224,4.26,14.4,25.03 -mixnet_s,2795.45,91.566,256,224,0.25,6.25,4.13 -ssl_resnext50_32x4d,2795.35,91.567,256,224,4.26,14.4,25.03 -resnext50_32x4d,2795.04,91.578,256,224,4.26,14.4,25.03 -resnetaa50d,2786.19,91.87,256,224,5.39,12.44,25.58 -ecaresnet101d_pruned,2770.2,92.4,256,224,3.48,7.69,24.88 -densenet121,2765.59,92.554,256,224,2.87,6.9,7.98 -tv_densenet121,2754.97,92.91,256,224,2.87,6.9,7.98 -gluon_resnet50_v1s,2746.47,93.198,256,224,5.47,13.52,25.68 -rexnet_200,2741.96,93.353,256,224,1.56,14.91,16.37 -cspresnet50,2739.95,93.42,256,256,4.54,11.5,21.62 -seresnet50t,2715.96,94.246,256,224,4.32,11.83,28.1 -resnetrs50,2709.47,94.471,256,224,4.48,12.14,35.69 -crossvit_tiny_240,2698.8,94.845,256,240,1.57,9.08,7.01 -ecaresnet50d,2695.97,94.946,256,224,4.35,11.93,25.58 -tf_mixnet_s,2668.56,95.92,256,224,0.25,6.25,4.13 -dla60,2658.15,96.295,256,224,4.26,10.16,22.04 -crossvit_9_240,2646.19,96.732,256,240,1.85,9.52,8.55 -densenet121d,2643.5,96.83,256,224,3.11,7.7,8.0 -efficientnet_lite3,2630.67,97.302,256,300,1.65,21.85,8.2 -convit_tiny,2612.77,97.969,256,224,1.26,7.94,5.71 -hrnet_w18_small_v2,2612.23,97.989,256,224,2.62,9.65,15.6 -crossvit_9_dagger_240,2607.67,98.16,256,240,1.99,9.97,8.78 -regnetz_b16,2592.86,98.722,256,288,2.39,16.43,9.72 -resnext50d_32x4d,2582.77,99.107,256,224,4.5,15.2,25.05 -cspresnet50d,2577.78,99.299,256,256,4.86,12.55,21.64 -cspresnet50w,2560.3,99.977,256,256,5.04,12.19,28.12 -vgg11_bn,2537.64,100.869,256,224,7.62,7.44,132.87 -vovnet57a,2533.31,101.041,256,224,8.95,7.52,36.64 -resnetblur50,2528.53,101.233,256,224,5.16,12.02,25.56 -gmlp_ti16_224,2479.86,103.22,256,224,1.34,7.55,5.87 -seresnext50_32x4d,2470.29,103.618,256,224,4.26,14.42,27.56 -legacy_seresnext50_32x4d,2466.47,103.78,256,224,4.26,14.42,27.56 -seresnetaa50d,2460.49,104.031,256,224,5.4,12.46,28.11 -gluon_seresnext50_32x4d,2457.31,104.168,256,224,4.26,14.42,27.56 -fbnetv3_g,2441.71,104.833,256,288,1.77,21.09,16.62 -res2net50_26w_4s,2439.77,104.916,256,224,4.28,12.61,25.7 -ese_vovnet57b,2429.1,105.377,256,224,8.95,7.52,38.61 -vit_tiny_r_s16_p8_384,2420.04,105.772,256,384,1.34,6.49,6.36 -gcresnet50t,2406.95,106.347,256,256,5.42,14.67,25.9 -adv_inception_v3,2387.53,107.209,256,299,5.73,8.97,23.83 -inception_v3,2378.4,107.624,256,299,5.73,8.97,23.83 -gluon_inception_v3,2378.14,107.635,256,299,5.73,8.97,23.83 -dla60x,2376.48,107.71,256,224,3.54,13.8,17.35 -efficientnetv2_rw_t,2371.59,107.933,256,288,3.19,16.42,13.65 -tf_inception_v3,2369.67,108.018,256,299,5.73,8.97,23.83 -densenetblur121d,2366.44,108.168,256,224,3.11,7.9,8.0 -tf_efficientnet_lite3,2359.22,108.498,256,300,1.65,21.85,8.2 -resnetblur50d,2356.51,108.624,256,224,5.4,12.82,25.58 -nf_seresnet50,2321.05,110.283,256,224,4.21,11.13,28.09 -lambda_resnet26rpt_256,2319.42,110.361,256,256,3.16,11.87,10.99 -tf_efficientnetv2_b3,2313.61,110.636,256,300,3.04,15.74,14.36 -nf_ecaresnet50,2312.19,110.706,256,224,4.21,11.13,25.56 -resnest14d,2311.92,110.718,256,224,2.76,7.33,10.61 -deit_small_patch16_224,2305.42,111.031,256,224,4.61,11.95,22.05 -pit_s_224,2300.71,111.258,256,224,2.88,11.56,23.46 -vit_small_patch16_224,2295.85,111.494,256,224,4.61,11.95,22.05 -pit_s_distilled_224,2281.8,112.18,256,224,2.9,11.64,24.04 -densenet169,2278.65,112.335,256,224,3.4,7.3,14.15 -vit_base_resnet26d_224,2268.07,112.857,256,224,6.97,13.16,101.4 -deit_small_distilled_patch16_224,2267.44,112.892,256,224,4.63,12.02,22.44 -skresnet50,2244.08,114.064,256,224,4.11,12.5,25.8 -darknet53,2213.23,115.656,256,256,9.31,12.39,41.61 -sehalonet33ts,2208.53,115.902,256,256,3.55,14.7,13.69 -res2net50_14w_8s,2201.46,116.274,256,224,4.21,13.28,25.06 -gc_efficientnetv2_rw_t,2198.9,116.41,256,288,3.2,16.45,13.68 -gcresnext50ts,2187.09,117.039,256,256,3.75,15.46,15.67 -resnetv2_101,2146.17,119.27,256,224,7.83,16.23,44.54 -resmlp_24_224,2127.24,120.334,256,224,5.96,10.91,30.02 -resmlp_24_distilled_224,2125.15,120.451,256,224,5.96,10.91,30.02 -skresnet50d,2105.03,121.599,256,224,4.36,13.31,25.82 -gluon_resnet101_v1b,2098.13,122.001,256,224,7.83,16.23,44.55 -tv_resnet101,2095.51,122.152,256,224,7.83,16.23,44.55 -resnet101,2094.89,122.19,256,224,7.83,16.23,44.55 -res2next50,2089.9,122.482,256,224,4.2,13.71,24.67 -ecaresnet26t,2087.45,122.626,256,320,5.24,16.44,16.01 -dla60_res2net,2078.29,123.165,256,224,4.15,12.34,20.85 -nf_regnet_b3,2039.85,125.487,256,320,2.05,14.61,18.59 -gluon_resnet101_v1c,2026.41,126.32,256,224,8.08,17.04,44.57 -resnetv2_101d,2021.62,126.619,256,224,8.07,17.04,44.56 -gluon_resnet101_v1d,1976.83,129.488,256,224,8.08,17.04,44.57 -vgg13,1972.22,129.79,256,224,11.31,12.25,133.05 -wide_resnet50_2,1932.56,132.455,256,224,11.43,14.4,68.88 -sebotnet33ts_256,1892.63,135.25,256,256,3.89,17.46,13.7 -repvgg_b1,1864.64,137.281,256,224,13.16,10.64,57.42 -resnetaa101d,1840.38,139.09,256,224,9.12,17.56,44.57 -legacy_seresnet101,1838.54,139.229,256,224,7.61,15.74,49.33 -resnet51q,1828.83,139.968,256,288,8.07,20.94,35.7 -gluon_resnet101_v1s,1822.02,140.491,256,224,9.19,18.64,44.67 -dla102,1820.91,140.577,256,224,7.19,14.18,33.27 -dla60_res2next,1817.78,140.818,256,224,3.49,13.17,17.03 -coat_lite_tiny,1811.49,141.309,256,224,1.6,11.65,5.72 -vit_base_resnet50d_224,1807.55,141.614,256,224,8.73,16.92,110.97 -tf_efficientnet_b3,1803.3,141.948,256,300,1.87,23.83,12.23 -tf_efficientnet_b3_ap,1802.94,141.978,256,300,1.87,23.83,12.23 -tf_efficientnet_b3_ns,1802.1,142.043,256,300,1.87,23.83,12.23 -cspdarknet53,1801.31,142.107,256,256,6.57,16.81,27.64 -seresnet101,1796.92,142.453,256,224,7.84,16.27,49.33 -efficientnet_b3,1780.99,143.727,256,320,2.01,26.52,12.23 -efficientnet_b3a,1780.57,143.761,256,320,2.01,26.52,12.23 -densenet201,1754.6,145.89,256,224,4.34,7.85,20.01 -vgg13_bn,1750.09,146.264,256,224,11.33,12.25,133.05 -ssl_resnext101_32x4d,1737.01,147.366,256,224,8.01,21.23,44.18 -resnext101_32x4d,1736.55,147.407,256,224,8.01,21.23,44.18 -gluon_resnext101_32x4d,1736.42,147.419,256,224,8.01,21.23,44.18 -swsl_resnext101_32x4d,1735.28,147.514,256,224,8.01,21.23,44.18 -halonet50ts,1731.56,147.831,256,256,5.3,19.2,22.73 -res2net50_26w_6s,1726.13,148.297,256,224,6.33,15.28,37.05 -nf_resnet101,1725.55,148.347,256,224,8.01,16.23,44.55 -coat_lite_mini,1724.07,148.474,256,224,2.0,12.25,11.01 -regnetz_c16,1702.47,150.358,256,320,3.92,25.88,13.46 -nf_resnet50,1701.7,150.426,256,288,6.88,18.37,25.56 -ecaresnet101d,1699.81,150.594,256,224,8.08,17.07,44.57 -xcit_tiny_24_p16_224_dist,1697.25,150.82,256,224,2.34,11.82,12.12 -xcit_tiny_24_p16_224,1694.56,151.06,256,224,2.34,11.82,12.12 -xcit_small_12_p16_224_dist,1690.19,151.45,256,224,4.82,12.58,26.25 -xcit_small_12_p16_224,1687.09,151.729,256,224,4.82,12.58,26.25 -resnest26d,1686.65,151.769,256,224,3.64,9.97,17.07 -convnext_tiny,1676.02,152.729,256,224,4.47,13.44,28.59 -convnext_tiny_hnf,1674.55,152.865,256,224,4.47,13.44,28.59 -vit_small_r26_s32_224,1656.11,154.567,256,224,3.56,9.85,36.43 -resnetblur101d,1639.84,156.101,256,224,9.12,17.94,44.57 -dla102x,1638.98,156.183,256,224,5.89,19.42,26.31 -resnet61q,1638.11,156.265,256,288,9.87,21.52,36.85 -gmixer_24_224,1615.83,158.42,256,224,5.28,14.45,24.72 -vgg16,1592.01,160.79,256,224,15.47,13.56,138.36 -xcit_nano_12_p16_384_dist,1580.63,161.949,256,384,1.64,12.15,3.05 -regnetx_032,1571.21,162.919,256,224,3.2,11.37,15.3 -repvgg_b1g4,1566.48,163.412,256,224,8.15,10.64,39.97 -regnetx_040,1550.05,165.143,256,224,3.99,12.2,22.12 -twins_svt_small,1531.98,167.089,256,224,2.94,13.75,24.06 -seresnext101_32x4d,1528.6,167.459,256,224,8.02,21.26,48.96 -gluon_seresnext101_32x4d,1525.5,167.801,256,224,8.02,21.26,48.96 -legacy_seresnext101_32x4d,1523.33,168.041,256,224,8.02,21.26,48.96 -res2net101_26w_4s,1522.04,168.183,256,224,8.1,18.45,45.21 -xception,1515.79,168.877,256,299,8.4,35.83,22.86 -visformer_small,1505.04,170.081,256,224,4.88,11.43,40.22 -botnet50ts_256,1504.07,170.19,256,256,5.54,22.23,22.74 -resnest50d_1s4x24d,1495.52,171.166,256,224,4.43,13.57,25.68 -resnetv2_50x1_bit_distilled,1491.91,171.579,256,224,4.23,11.11,25.55 -resnetv2_152,1488.31,171.994,256,224,11.55,22.56,60.19 -efficientnet_el,1485.73,172.293,256,300,8.0,30.7,10.59 -efficientnet_el_pruned,1484.88,172.392,256,300,8.0,30.7,10.59 -gluon_resnet152_v1b,1466.32,174.574,256,224,11.56,22.56,60.19 -crossvit_small_240,1465.43,174.68,256,240,5.63,18.17,26.86 -tv_resnet152,1464.76,174.758,256,224,11.56,22.56,60.19 -resnet152,1463.7,174.886,256,224,11.56,22.56,60.19 -res2net50_26w_8s,1440.77,177.671,256,224,8.37,17.95,48.4 -tf_efficientnet_el,1439.79,177.79,256,300,8.0,30.7,10.59 -halo2botnet50ts_256,1435.45,178.33,256,256,5.02,21.78,22.64 -hrnet_w32,1431.59,178.81,256,224,8.97,22.02,41.23 -gluon_resnet152_v1c,1431.14,178.867,256,224,11.8,23.36,60.21 -nf_seresnet101,1430.41,178.958,256,224,8.02,16.27,49.33 -vgg16_bn,1430.18,178.985,256,224,15.5,13.56,138.37 -resnetv2_152d,1427.39,179.335,256,224,11.8,23.36,60.2 -resmlp_36_224,1426.81,179.41,256,224,8.91,16.33,44.69 -resmlp_36_distilled_224,1426.22,179.484,256,224,8.91,16.33,44.69 -nf_ecaresnet101,1423.4,179.839,256,224,8.01,16.27,44.55 -mixnet_m,1415.37,180.859,256,224,0.36,8.19,5.01 -gluon_resnet152_v1d,1405.52,182.126,256,224,11.8,23.36,60.21 -ese_vovnet99b,1395.24,183.468,256,224,16.51,11.27,63.2 -gmlp_s16_224,1389.58,184.216,256,224,4.42,15.1,19.42 -tf_mixnet_m,1379.18,185.603,256,224,0.36,8.19,5.01 -regnety_040,1367.09,187.246,256,224,4.0,12.29,20.65 -vit_large_patch32_224,1365.88,187.414,256,224,15.39,13.3,306.54 -hrnet_w18,1363.25,187.774,256,224,4.32,16.31,21.3 -vit_base_r26_s32_224,1359.83,188.244,256,224,6.81,12.36,101.38 -crossvit_15_240,1344.51,190.391,256,240,5.81,19.77,27.53 -resnetv2_50d_evob,1343.28,190.567,256,224,4.33,11.92,25.59 -ecaresnet50t,1341.42,190.83,256,320,8.82,24.13,25.57 -mixer_b16_224,1341.1,190.877,256,224,12.62,14.53,59.88 -mixer_b16_224_miil,1340.95,190.898,256,224,12.62,14.53,59.88 -vgg19,1334.38,191.835,256,224,19.63,14.86,143.67 -regnety_032,1331.17,192.299,256,288,5.29,18.61,19.44 -cait_xxs24_224,1325.98,193.051,256,224,2.53,20.29,11.96 -gluon_resnet152_v1s,1323.82,193.367,256,224,12.92,24.96,60.32 -mixer_l32_224,1320.53,193.849,256,224,11.27,19.86,206.94 -skresnext50_32x4d,1317.3,194.322,256,224,4.5,17.18,27.48 -xception41,1314.21,194.782,256,299,9.28,39.86,26.97 -crossvit_15_dagger_240,1313.12,194.944,256,240,6.13,20.43,28.21 -densenet161,1297.86,197.236,256,224,7.79,11.06,28.68 -dpn92,1283.16,199.496,256,224,6.54,18.21,37.67 -efficientnet_lite4,1279.6,200.05,256,380,4.04,45.66,13.01 -tresnet_m,1272.03,201.24,256,224,5.74,7.31,31.39 -legacy_seresnet152,1268.99,201.723,256,224,11.33,22.08,66.82 -dla169,1257.87,203.505,256,224,11.6,20.2,53.39 -seresnet152,1252.8,204.325,256,224,11.57,22.61,66.82 -swin_tiny_patch4_window7_224,1250.47,204.71,256,224,4.51,17.06,28.29 -vit_base_patch32_384,1245.01,205.608,256,384,13.06,16.5,88.3 -repvgg_b2,1240.95,206.281,256,224,20.45,12.9,89.02 -twins_pcpvt_small,1237.75,206.812,256,224,3.83,18.08,24.11 -inception_v4,1232.0,207.78,256,299,12.28,15.09,42.68 -regnetx_080,1230.26,208.073,256,224,8.02,14.06,39.57 -convit_small,1215.14,210.662,256,224,5.76,17.87,27.78 -vgg19_bn,1208.18,211.876,256,224,19.66,14.86,143.68 -xcit_nano_12_p8_224_dist,1199.12,213.478,256,224,2.16,15.71,3.05 -xcit_nano_12_p8_224,1193.48,214.486,256,224,2.16,15.71,3.05 -hrnet_w30,1182.47,216.483,256,224,8.15,21.21,37.71 -tf_efficientnet_lite4,1173.72,218.096,256,380,4.04,45.66,13.01 -resnetv2_50d_gn,1171.09,218.587,256,224,4.38,11.92,25.57 -vit_tiny_patch16_384,1165.29,219.677,256,384,4.7,25.39,5.79 -dla102x2,1162.53,220.196,256,224,9.34,29.91,41.28 -regnetx_064,1154.46,221.737,256,224,6.49,16.37,26.21 -vit_small_resnet50d_s16_224,1148.12,222.96,256,224,13.48,24.82,57.53 -resnest50d,1142.3,224.096,256,224,5.4,14.36,27.48 -xcit_tiny_12_p16_384_dist,1120.72,228.412,256,384,3.64,18.26,6.72 -nf_regnet_b4,1118.05,228.958,256,384,4.7,28.61,30.21 -mixnet_l,1111.69,230.267,256,224,0.58,10.84,7.33 -efficientnetv2_s,1109.52,230.718,256,384,8.44,35.77,21.46 -resnet50_gn,1084.83,235.97,256,224,4.14,11.11,25.56 -tf_efficientnetv2_s,1082.56,236.462,256,384,8.44,35.77,21.46 -tf_efficientnetv2_s_in21ft1k,1080.83,236.841,256,384,8.44,35.77,21.46 -tf_mixnet_l,1080.28,236.961,256,224,0.58,10.84,7.33 -wide_resnet101_2,1080.17,236.987,256,224,22.8,21.23,126.89 -gluon_resnext101_64x4d,1075.35,238.048,256,224,15.52,31.21,83.46 -dpn98,1075.31,238.059,256,224,11.73,25.2,61.57 -eca_nfnet_l0,1073.57,238.443,256,288,7.12,17.29,24.14 -resnext101_64x4d,1073.4,238.483,256,224,15.52,31.21,83.46 -regnetz_d8,1072.66,238.647,256,320,6.19,37.08,23.37 -convnext_small,1068.35,239.61,256,224,8.7,21.56,50.22 -nfnet_l0,1067.0,239.911,256,288,7.13,17.29,35.07 -resnet200,1062.15,241.009,256,224,15.07,32.19,64.67 -resnetrs101,1051.01,243.563,256,288,13.56,28.53,63.62 -inception_resnet_v2,1033.59,247.668,256,299,13.18,25.06,55.84 -ens_adv_inception_resnet_v2,1033.26,247.747,256,299,13.18,25.06,55.84 -efficientnetv2_rw_s,1032.33,247.972,256,384,8.72,38.03,23.94 -nest_tiny,1020.47,250.854,256,224,5.83,25.48,17.06 -coat_lite_small,1020.33,250.888,256,224,3.96,22.09,19.84 -jx_nest_tiny,1008.4,253.854,256,224,5.83,25.48,17.06 -vit_base_patch16_224_miil,996.21,256.96,256,224,17.58,23.9,86.54 -crossvit_18_240,991.56,258.167,256,240,9.05,26.26,43.27 -gluon_seresnext101_64x4d,990.21,258.518,256,224,15.53,31.25,88.23 -swsl_resnext101_32x8d,977.82,261.793,256,224,16.48,31.21,88.79 -ssl_resnext101_32x8d,977.78,261.803,256,224,16.48,31.21,88.79 -resnext101_32x8d,976.71,262.092,256,224,16.48,31.21,88.79 -resnet101d,976.38,262.181,256,320,16.48,34.77,44.57 -ig_resnext101_32x8d,976.0,262.282,256,224,16.48,31.21,88.79 -crossvit_18_dagger_240,971.37,263.533,256,240,9.5,27.03,44.27 -regnetz_d32,970.52,263.764,256,320,9.33,37.08,27.58 -vit_base_patch16_224_sam,969.72,263.98,256,224,17.58,23.9,86.57 -deit_base_patch16_224,967.9,264.478,256,224,17.58,23.9,86.57 -vit_base_patch16_224,966.99,264.723,256,224,17.58,23.9,86.57 -deit_base_distilled_patch16_224,962.72,265.901,256,224,17.68,24.05,87.34 -repvgg_b3,962.17,266.052,256,224,29.16,15.1,123.09 -resnest50d_4s2x40d,957.24,267.424,256,224,4.4,17.94,30.42 -gluon_xception65,952.59,268.729,256,299,13.96,52.48,39.92 -efficientnet_b4,950.53,269.31,256,384,4.51,50.04,19.34 -xception65,944.4,271.059,256,299,13.96,52.48,39.92 -ese_vovnet39b_evos,937.23,273.135,256,224,7.07,6.74,24.58 -hrnet_w40,919.71,278.336,256,224,12.75,25.29,57.56 -seresnext101_32x8d,905.52,282.696,256,224,16.48,31.25,93.57 -twins_pcpvt_base,904.7,282.951,256,224,6.68,25.25,43.83 -tf_efficientnet_b4,899.69,284.527,256,380,4.49,49.49,19.34 -tf_efficientnet_b4_ap,899.17,284.692,256,380,4.49,49.49,19.34 -tf_efficientnet_b4_ns,898.81,284.808,256,380,4.49,49.49,19.34 -xcit_small_24_p16_224_dist,897.88,285.104,256,224,9.1,23.64,47.67 -xcit_small_24_p16_224,897.08,285.357,256,224,9.1,23.64,47.67 -beit_base_patch16_224,894.85,286.068,256,224,17.58,23.9,86.53 -cait_xxs36_224,891.78,287.055,256,224,3.77,30.34,17.3 -twins_svt_base,885.5,289.087,256,224,8.59,26.33,56.07 -regnety_080,865.03,295.931,256,224,8.0,17.97,39.18 -hrnet_w48,862.23,296.892,256,224,17.34,28.56,77.47 -xcit_tiny_12_p8_224_dist,851.38,300.676,256,224,4.81,23.6,6.71 -xcit_tiny_12_p8_224,850.38,301.029,256,224,4.81,23.6,6.71 -pit_b_224,831.73,307.778,256,224,12.42,32.94,73.76 -pit_b_distilled_224,829.76,308.512,256,224,12.5,33.07,74.79 -nfnet_f0s,822.42,311.265,256,256,12.62,18.05,71.49 -nfnet_f0,820.01,312.18,256,256,12.62,18.05,71.49 -swin_small_patch4_window7_224,808.39,316.666,256,224,8.77,27.47,49.61 -repvgg_b2g4,805.1,317.961,256,224,12.63,12.9,61.76 -resnetv2_50d_evos,799.75,320.087,256,224,4.33,11.92,25.59 -convnext_base,795.35,321.858,256,224,15.38,28.75,88.59 -convnext_base_in22ft1k,795.35,321.856,256,224,15.38,28.75,88.59 -dpn131,790.54,323.815,256,224,16.09,32.97,79.25 -regnetx_120,762.35,335.792,256,224,12.13,21.37,46.11 -regnety_064,760.83,336.463,256,224,6.39,16.41,30.58 -hrnet_w44,758.65,337.428,256,224,14.94,26.92,67.06 -densenet264,753.54,339.715,256,224,12.95,12.8,72.69 -mixnet_xl,746.77,342.795,256,224,0.93,14.57,11.9 -cait_s24_224,746.74,342.81,256,224,9.35,40.58,46.92 -regnety_120,732.77,349.348,256,224,12.14,21.38,51.82 -dm_nfnet_f0,732.71,349.374,256,256,12.62,18.05,71.49 -xception71,724.87,353.154,256,299,18.09,69.92,42.34 -coat_tiny,707.44,361.857,256,224,4.35,27.2,5.5 -resnet152d,694.55,368.574,256,320,24.08,47.67,60.21 -dpn107,691.54,370.175,256,224,18.38,33.46,86.92 -hrnet_w64,684.53,373.966,256,224,28.97,35.09,128.06 -nest_small,681.18,375.805,256,224,10.35,40.04,38.35 -vit_large_r50_s32_224,676.89,378.187,256,224,19.58,24.41,328.99 -jx_nest_small,675.63,378.895,256,224,10.35,40.04,38.35 -twins_svt_large,674.75,379.385,256,224,15.15,35.1,99.27 -seresnet200d,673.13,380.295,256,256,20.01,43.15,71.86 -ecaresnet200d,672.08,380.893,256,256,20.0,43.15,64.69 -repvgg_b3g4,671.77,381.071,256,224,17.89,15.1,83.83 -cspresnext50_iabn,667.96,383.242,256,256,4.02,15.86,20.57 -gmlp_b16_224,667.23,383.66,256,224,15.78,30.21,73.08 -crossvit_base_240,662.98,386.123,256,240,21.22,36.33,105.03 -xcit_medium_24_p16_224_dist,661.18,387.174,256,224,16.13,31.71,84.4 -xcit_medium_24_p16_224,660.34,387.669,256,224,16.13,31.71,84.4 -tresnet_l,657.41,389.391,256,224,10.88,11.9,55.99 -twins_pcpvt_large,657.27,389.474,256,224,9.84,35.82,60.99 -gluon_senet154,656.15,390.143,256,224,20.77,38.69,115.09 -senet154,655.06,390.791,256,224,20.77,38.69,115.09 -legacy_senet154,654.75,390.977,256,224,20.77,38.69,115.09 -convit_base,638.4,400.989,256,224,17.52,31.77,86.54 -swin_base_patch4_window7_224,617.48,414.571,256,224,15.47,36.63,87.77 -ese_vovnet99b_iabn,611.75,418.46,256,224,16.49,11.27,63.2 -regnetx_160,608.26,420.859,256,224,15.99,25.52,54.28 -cspdarknet53_iabn,603.85,423.936,256,256,6.53,16.81,27.64 -resnetrs152,602.36,424.984,256,320,24.34,48.14,86.62 -seresnet152d,600.43,426.343,256,320,24.09,47.72,66.84 -xcit_tiny_24_p16_384_dist,596.99,428.807,256,384,6.87,34.29,12.12 -xcit_small_12_p16_384_dist,594.31,430.737,256,384,14.14,36.51,26.25 -coat_mini,592.69,431.92,256,224,6.82,33.68,10.34 -vit_small_patch16_384,592.64,431.956,256,384,15.52,50.78,22.2 -regnetz_e8,575.64,444.705,256,320,15.46,63.94,57.7 -convmixer_768_32,563.29,454.463,256,224,19.55,25.95,21.11 -resnest101e,556.07,460.362,256,256,13.38,28.66,48.28 -efficientnetv2_m,555.39,460.921,256,416,18.6,67.5,54.14 -vit_base_r50_s16_224,554.34,461.796,256,224,21.66,35.29,98.66 -vit_small_r26_s32_384,549.37,465.972,256,384,10.43,29.85,36.47 -nf_regnet_b5,533.77,479.592,256,456,11.7,61.95,49.74 -seresnet269d,524.13,488.41,256,256,26.59,53.6,113.67 -nest_base,514.16,497.89,256,224,17.96,53.39,67.72 -jx_nest_base,510.9,501.061,256,224,17.96,53.39,67.72 -resnet200d,509.84,502.105,256,320,31.25,67.33,64.69 -tnt_s_patch16_224,490.75,521.641,256,224,5.24,24.37,23.76 -mixnet_xxl,486.35,526.355,256,224,2.04,23.43,23.96 -tresnet_xl,476.44,537.307,256,224,15.17,15.34,78.44 -convnext_large,476.21,537.564,256,224,34.4,43.13,197.77 -eca_nfnet_l1,475.22,538.689,256,320,14.92,34.42,41.41 -convnext_large_in22ft1k,475.1,538.817,256,224,34.4,43.13,197.77 -efficientnetv2_rw_m,464.7,550.875,256,416,21.49,79.62,53.24 -efficientnet_b5,456.59,560.666,256,456,10.46,98.86,30.39 -xcit_small_12_p8_224,453.25,564.8,256,224,18.69,47.21,26.21 -xcit_small_12_p8_224_dist,452.33,565.946,256,224,18.69,47.21,26.21 -xcit_tiny_24_p8_224,450.37,568.411,256,224,9.21,45.39,12.11 -mixer_l16_224,449.08,570.035,256,224,44.6,41.69,208.2 -xcit_tiny_24_p8_224_dist,448.81,570.379,256,224,9.21,45.39,12.11 -halonet_h1,448.78,570.426,256,256,3.0,51.17,8.1 -vit_large_patch32_384,441.35,580.019,256,384,45.31,43.86,306.63 -resnetrs200,436.51,586.457,256,320,31.51,67.81,93.21 -tf_efficientnet_b5,434.35,589.365,256,456,10.46,98.86,30.39 -tf_efficientnet_b5_ap,433.75,590.18,256,456,10.46,98.86,30.39 -tf_efficientnet_b5_ns,433.48,590.557,256,456,10.46,98.86,30.39 -tf_efficientnetv2_m_in21ft1k,410.56,623.518,256,480,24.76,89.84,54.14 -tf_efficientnetv2_m,410.47,623.661,256,480,24.76,89.84,54.14 -xcit_nano_12_p8_384_dist,410.15,624.154,256,384,6.34,46.08,3.05 -regnety_320,406.99,628.99,256,224,32.34,30.26,145.05 -regnety_160,405.46,631.367,256,288,26.37,38.07,83.59 -xcit_large_24_p16_224_dist,400.4,639.34,256,224,35.86,47.27,189.1 -xcit_large_24_p16_224,400.19,639.684,256,224,35.86,47.27,189.1 -regnetz_d8_evob,388.06,659.67,256,320,6.12,37.08,23.41 -tnt_b_patch16_224,385.58,663.922,256,224,14.09,39.01,65.41 -swin_large_patch4_window7_224,383.73,667.122,256,224,34.53,54.94,196.53 -resnetv2_50x1_bitm,374.41,683.729,256,448,16.62,44.46,25.55 -ssl_resnext101_32x16d,338.57,756.102,256,224,36.27,51.18,194.03 -swsl_resnext101_32x16d,338.32,756.674,256,224,36.27,51.18,194.03 -ig_resnext101_32x16d,338.18,756.969,256,224,36.27,51.18,194.03 -vit_large_patch16_224,326.85,783.223,256,224,61.6,63.52,304.33 -convnext_xlarge_in22ft1k,321.97,795.088,256,224,60.97,57.5,350.2 -tresnet_m_448,321.59,796.023,256,448,22.94,29.21,31.39 -xcit_small_24_p16_384_dist,315.9,810.38,256,384,26.72,68.58,47.67 -crossvit_15_dagger_408,307.27,833.13,256,408,21.45,95.05,28.5 -nasnetalarge,305.09,839.069,256,331,23.89,90.56,88.75 -beit_large_patch16_224,301.03,850.396,256,224,61.6,63.52,304.43 -pnasnet5large,294.97,867.879,256,331,25.04,92.89,86.06 -xcit_tiny_12_p8_384_dist,290.12,882.382,256,384,14.13,69.14,6.71 -ecaresnet269d,282.41,906.484,256,352,50.25,101.25,102.09 -nfnet_f1s,278.33,919.751,256,320,35.97,46.77,132.63 -nfnet_f1,277.93,921.079,256,320,35.97,46.77,132.63 -resnetrs270,274.74,931.762,256,352,51.13,105.48,129.86 -convnext_base_384_in22ft1k,274.29,933.296,256,384,45.2,84.49,88.59 -resnetv2_152x2_bit_teacher,268.11,954.835,256,224,46.95,45.11,236.34 -efficientnet_b6,261.2,490.039,128,528,19.4,167.39,43.04 -regnetx_320,257.17,995.447,256,224,31.81,36.3,107.81 -vit_base_patch16_384,256.27,998.923,256,384,55.54,101.56,86.86 -deit_base_patch16_384,256.23,999.078,256,384,55.54,101.56,86.86 -deit_base_distilled_patch16_384,253.03,1011.71,256,384,55.65,101.82,87.63 -dm_nfnet_f1,251.34,1018.532,256,320,35.97,46.77,132.63 -tf_efficientnet_b6_ns,249.3,513.425,128,528,19.4,167.39,43.04 -tf_efficientnet_b6_ap,249.28,513.468,128,528,19.4,167.39,43.04 -tf_efficientnet_b6,249.27,513.475,128,528,19.4,167.39,43.04 -cait_xxs24_384,240.96,1062.389,256,384,9.63,122.66,12.03 -resnetv2_101x1_bitm,237.63,1077.288,256,448,31.65,64.93,44.54 -xcit_small_24_p8_224,236.59,1082.038,256,224,35.81,90.78,47.63 -xcit_small_24_p8_224_dist,236.51,1082.395,256,224,35.81,90.78,47.63 -efficientnetv2_l,230.67,1109.79,256,480,56.4,157.99,118.52 -xcit_medium_24_p16_384_dist,229.71,1114.433,256,384,47.39,91.64,84.4 -crossvit_18_dagger_408,228.55,560.041,128,408,32.47,124.87,44.61 -tf_efficientnetv2_l,228.05,1122.527,256,480,56.4,157.99,118.52 -eca_nfnet_l2,227.63,1124.623,256,384,30.05,68.28,56.72 -tf_efficientnetv2_l_in21ft1k,227.22,1126.624,256,480,56.4,157.99,118.52 -vit_large_r50_s32_384,223.83,1143.726,256,384,57.43,76.52,329.09 -beit_base_patch16_384,221.26,1157.006,256,384,55.54,101.56,86.74 -regnetz_d8_evos,211.13,1212.504,256,320,7.03,38.92,23.46 -resmlp_big_24_224,198.32,1290.833,256,224,100.23,87.31,129.14 -resmlp_big_24_224_in22ft1k,197.59,1295.599,256,224,100.23,87.31,129.14 -resmlp_big_24_distilled_224,197.33,1297.278,256,224,100.23,87.31,129.14 -resnest200e,191.82,1334.548,256,320,35.69,82.78,70.2 -resnetrs350,182.63,1401.718,256,384,77.59,154.74,163.96 -swin_base_patch4_window12_384,171.61,745.879,128,384,47.19,134.78,87.9 -cait_xs24_384,171.6,1491.866,256,384,19.28,183.98,26.67 -xcit_medium_24_p8_224,171.09,1496.317,256,224,63.53,121.23,84.32 -xcit_medium_24_p8_224_dist,171.08,1496.368,256,224,63.53,121.23,84.32 -vit_base_patch8_224,170.14,1504.628,256,224,78.22,161.69,86.58 -tresnet_l_448,163.98,1561.153,256,448,43.5,47.56,55.99 -convnext_large_384_in22ft1k,162.15,1578.727,256,384,101.09,126.74,197.77 -cait_xxs36_384,161.38,1586.306,256,384,14.35,183.7,17.37 -vit_base_r50_s16_384,161.14,1588.636,256,384,67.43,135.03,98.95 -vit_base_resnet50_384,161.06,1589.462,256,384,67.43,135.03,98.95 -nfnet_f2s,156.52,1635.579,256,352,63.22,79.06,193.78 -efficientnet_b7,156.11,409.945,64,600,38.33,289.94,66.35 -nfnet_f2,155.79,1643.217,256,352,63.22,79.06,193.78 -xcit_tiny_24_p8_384_dist,152.9,1674.228,256,384,27.05,132.95,12.11 -densenet264d_iabn,151.23,1692.723,256,224,13.47,14.0,72.74 -xcit_small_12_p8_384_dist,150.53,1700.627,256,384,54.92,138.29,26.21 -tf_efficientnet_b7_ns,150.44,425.41,64,600,38.33,289.94,66.35 -tf_efficientnet_b7_ap,150.35,425.668,64,600,38.33,289.94,66.35 -tf_efficientnet_b7,150.33,425.703,64,600,38.33,289.94,66.35 -efficientnetv2_xl,146.15,1751.589,256,512,93.85,247.32,208.12 -tf_efficientnetv2_xl_in21ft1k,144.77,1768.278,256,512,93.85,247.32,208.12 -dm_nfnet_f2,141.71,1806.539,256,352,63.22,79.06,193.78 -xcit_large_24_p16_384_dist,138.32,1850.744,256,384,105.35,137.17,189.1 -cait_s24_384,132.94,1925.665,256,384,32.17,245.31,47.06 -resnetrs420,132.69,1929.303,256,416,108.45,213.79,191.89 -vit_huge_patch14_224,131.53,1946.246,256,224,167.4,139.41,632.05 -eca_nfnet_l3,127.14,2013.536,256,448,52.55,118.4,72.04 -tresnet_xl_448,120.79,2119.391,256,448,60.65,61.31,78.44 -efficientnet_cc_b0_8e,117.25,8.519,1,224,0.42,9.42,24.01 -efficientnet_cc_b0_4e,114.89,8.693,1,224,0.41,9.42,13.31 -convnext_xlarge_384_in22ft1k,110.42,1159.152,128,384,179.18,168.99,350.2 -tf_efficientnet_cc_b0_8e,109.13,9.153,1,224,0.42,9.42,24.01 -swin_large_patch4_window12_384,108.07,1184.415,128,384,104.08,202.16,196.74 -tf_efficientnet_cc_b0_4e,106.38,9.39,1,224,0.41,9.42,13.31 -xcit_large_24_p8_224,103.21,2480.29,256,224,141.23,181.56,188.93 -xcit_large_24_p8_224_dist,103.09,2483.315,256,224,141.23,181.56,188.93 -efficientnet_b8,95.86,667.618,64,672,63.48,442.89,87.41 -resnetv2_152x2_bit_teacher_384,93.91,2726.129,256,384,136.16,132.56,236.34 -tf_efficientnet_b8,93.03,687.97,64,672,63.48,442.89,87.41 -tf_efficientnet_b8_ap,92.99,688.234,64,672,63.48,442.89,87.41 -resnetv2_50x3_bitm,90.18,1419.305,128,448,145.7,133.37,217.32 -resnest269e,90.1,2841.126,256,416,77.69,171.98,110.93 -cait_s36_384,88.82,2882.347,256,384,47.99,367.4,68.37 -vit_large_patch16_384,88.44,2894.698,256,384,191.21,270.24,304.72 -vit_giant_patch14_224,87.02,2941.98,256,224,267.18,192.64,1012.61 -nfnet_f3s,85.07,3009.339,256,416,115.58,141.78,254.92 -nfnet_f3,84.65,3024.233,256,416,115.58,141.78,254.92 -efficientnet_cc_b1_8e,83.46,11.971,1,240,0.75,15.44,39.72 -convmixer_1024_20_ks9_p14,81.44,3143.542,256,224,5.55,5.51,24.38 -xcit_small_24_p8_384_dist,78.98,3241.259,256,384,105.24,265.91,47.63 -beit_large_patch16_384,77.03,3323.174,256,384,191.21,270.24,305.0 -dm_nfnet_f3,76.93,3327.777,256,416,115.58,141.78,254.92 -tf_efficientnet_cc_b1_8e,76.09,13.131,1,240,0.75,15.44,39.72 -resnetv2_152x2_bitm,68.83,1859.681,128,448,184.99,180.43,236.34 -xcit_medium_24_p8_384_dist,58.64,4365.679,256,384,186.67,354.73,84.32 -resnetv2_101x3_bitm,55.09,2323.244,128,448,280.33,194.78,387.93 -vit_gigantic_patch14_224,52.92,4837.231,256,224,483.95,275.37,1844.44 -nfnet_f4s,45.21,5662.39,256,512,216.26,262.26,316.07 -nfnet_f4,45.13,5672.08,256,512,216.26,262.26,316.07 -dm_nfnet_f4,41.12,6225.397,256,512,216.26,262.26,316.07 -xcit_large_24_p8_384_dist,35.18,3638.243,128,384,415.0,531.82,188.93 -nfnet_f5s,33.4,7663.628,256,544,290.97,349.71,377.21 -nfnet_f5,33.22,7705.647,256,544,290.97,349.71,377.21 -beit_large_patch16_512,31.23,2049.459,64,512,362.24,656.39,305.67 -cait_m36_384,30.6,8365.416,256,384,173.11,734.81,271.22 -dm_nfnet_f5,30.51,8392.012,256,544,290.97,349.71,377.21 -nfnet_f6s,24.87,10292.837,256,576,378.69,452.2,438.36 -nfnet_f6,24.74,10346.138,256,576,378.69,452.2,438.36 -dm_nfnet_f6,23.05,11108.286,256,576,378.69,452.2,438.36 -nfnet_f7s,19.54,13099.713,256,608,480.39,570.85,499.5 -nfnet_f7,19.47,13146.917,256,608,480.39,570.85,499.5 -resnetv2_152x4_bitm,17.96,3562.952,64,480,844.84,414.26,936.53 -cait_m48_448,13.23,9672.182,128,448,329.41,1708.23,356.46 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+regnetz_005,6617.28,154.735,1024,224,0.52,5.86,7.12 +gernet_m,6458.86,158.529,1024,224,3.02,5.24,21.14 +semnasnet_140,6419.24,159.509,1024,224,0.6,8.87,6.11 +tv_resnet34,6315.93,162.117,1024,224,3.67,3.74,21.8 +resnet34,6312.51,162.205,1024,224,3.67,3.74,21.8 +gluon_resnet34_v1b,6269.39,163.321,1024,224,3.67,3.74,21.8 +mobilenetv2_140,6223.46,164.527,1024,224,0.6,9.57,6.11 +ese_vovnet19b_dw,6166.26,166.054,1024,224,1.34,8.25,6.54 +efficientnet_lite1,5999.14,170.68,1024,240,0.62,10.14,5.42 +efficientnet_b1_pruned,5947.73,172.154,1024,240,0.4,6.21,6.33 +selecsls42,5907.3,173.332,1024,224,2.94,4.62,30.35 +selecsls42b,5879.07,174.165,1024,224,2.98,4.62,32.46 +tf_efficientnetv2_b1,5876.94,174.228,1024,240,1.21,7.34,8.14 +fbnetv3_b,5872.22,174.368,1024,256,0.55,9.1,8.6 +seresnet34,5869.49,174.448,1024,224,3.67,3.74,21.96 +skresnet18,5850.83,175.006,1024,224,1.82,3.24,11.96 +rexnet_100,5841.4,175.288,1024,224,0.41,7.44,4.8 +resnet26,5734.75,178.548,1024,224,2.36,7.35,16.0 +efficientnet_es_pruned,5732.72,178.611,1024,224,1.81,8.73,5.44 +efficientnet_es,5729.21,178.72,1024,224,1.81,8.73,5.44 +legacy_seresnet34,5666.19,180.71,1024,224,3.67,3.74,21.96 +resnet34d,5621.93,182.132,1024,224,3.91,4.54,21.82 +levit_384,5524.35,185.349,1024,224,2.36,6.26,39.13 +resnetblur18,5512.12,185.761,1024,224,2.34,3.39,11.69 +nf_regnet_b0,5492.16,186.436,1024,256,0.64,5.58,8.76 +rexnetr_130,5459.44,187.553,1024,224,0.68,9.81,7.61 +tf_efficientnet_es,5422.9,188.816,1024,224,1.81,8.73,5.44 +tf_efficientnet_lite1,5355.71,191.185,1024,240,0.62,10.14,5.42 +selecsls60,5268.65,194.344,1024,224,3.59,5.52,30.67 +selecsls60b,5252.65,194.936,1024,224,3.63,5.52,32.77 +mobilenetv2_120d,5162.92,198.325,1024,224,0.69,11.97,5.83 +repvgg_b0,5052.09,202.677,1024,224,3.41,6.15,15.82 +resnet26d,4922.38,208.017,1024,224,2.6,8.15,16.01 +fbnetv3_d,4802.31,213.218,1024,256,0.68,11.1,10.31 +xcit_nano_12_p16_224,4773.0,214.528,1024,224,0.56,4.17,3.05 +rexnetr_150,4769.15,214.701,1024,224,0.89,11.13,9.78 +xcit_nano_12_p16_224_dist,4764.08,214.929,1024,224,0.56,4.17,3.05 +vit_tiny_patch16_224,4754.4,215.366,1024,224,1.26,5.97,5.72 +deit_tiny_patch16_224,4742.21,215.918,1024,224,1.26,5.97,5.72 +nf_resnet26,4720.75,216.903,1024,224,2.41,7.35,16.0 +visformer_tiny,4686.07,218.507,1024,224,1.27,5.72,10.32 +deit_tiny_distilled_patch16_224,4682.4,218.676,1024,224,1.27,6.01,5.91 +efficientnet_lite2,4622.9,221.493,1024,260,0.89,12.9,6.09 +pit_ti_distilled_224,4461.94,229.484,1024,224,0.71,6.23,5.1 +pit_ti_224,4451.07,230.044,1024,224,0.7,6.19,4.85 +resmlp_12_distilled_224,4424.39,231.432,1024,224,3.01,5.5,15.35 +resmlp_12_224,4422.97,231.507,1024,224,3.01,5.5,15.35 +tf_efficientnetv2_b2,4364.43,234.612,1024,260,1.72,9.84,10.1 +efficientnet_b0_g16_evos,4258.95,240.422,1024,224,1.01,7.42,8.11 +tf_efficientnet_b1_ap,4209.48,243.247,1024,240,0.71,10.88,7.79 +tf_efficientnet_b1,4206.94,243.394,1024,240,0.71,10.88,7.79 +tf_efficientnet_b1_ns,4206.45,243.423,1024,240,0.71,10.88,7.79 +gernet_l,4203.4,243.6,1024,256,4.57,8.0,31.08 +legacy_seresnext26_32x4d,4195.67,244.05,1024,224,2.49,9.39,16.79 +tf_efficientnet_lite2,4152.0,246.616,1024,260,0.89,12.9,6.09 +resnext26ts,4093.42,250.143,1024,256,2.43,10.52,10.3 +efficientnet_b1,4070.65,251.545,1024,256,0.77,12.22,7.79 +mixer_b32_224,4051.68,252.722,1024,224,3.24,6.29,60.29 +vit_base_patch32_224_sam,4039.13,253.507,1024,224,4.41,5.01,88.22 +vit_base_patch32_224,4032.31,253.936,1024,224,4.41,5.01,88.22 +rexnet_130,3995.13,256.299,1024,224,0.68,9.71,7.56 +nf_seresnet26,3989.88,256.637,1024,224,2.41,7.36,17.4 +nf_ecaresnet26,3979.77,257.29,1024,224,2.41,7.36,16.0 +seresnext26ts,3962.63,258.399,1024,256,2.43,10.52,10.39 +eca_resnext26ts,3962.0,258.443,1024,256,2.43,10.52,10.3 +repvgg_a2,3879.7,263.924,1024,224,5.7,6.26,28.21 +resnet26t,3812.96,268.545,1024,256,3.35,10.52,16.01 +regnetx_016,3789.45,270.213,1024,224,1.62,7.93,9.19 +gcresnext26ts,3774.22,271.302,1024,256,2.43,10.53,10.48 +efficientnet_b2_pruned,3765.97,271.895,1024,260,0.73,9.13,8.31 +mobilevit_xxs,3756.03,272.615,1024,256,0.42,8.34,1.27 +seresnext26t_32x4d,3753.45,272.802,1024,224,2.7,10.09,16.81 +rexnet_150,3752.67,272.86,1024,224,0.9,11.21,9.73 +seresnext26tn_32x4d,3752.12,272.899,1024,224,2.7,10.09,16.81 +seresnext26d_32x4d,3746.32,273.322,1024,224,2.73,10.19,16.81 +ecaresnext50t_32x4d,3742.01,273.637,1024,224,2.7,10.09,15.41 +ecaresnext26t_32x4d,3741.38,273.685,1024,224,2.7,10.09,15.41 +resnetv2_50,3727.11,274.73,1024,224,4.11,11.11,25.55 +ecaresnet50d_pruned,3716.52,275.512,1024,224,2.53,6.43,19.94 +eca_botnext26ts_256,3657.01,279.998,1024,256,2.46,11.6,10.59 +pit_xs_224,3649.08,280.606,1024,224,1.4,7.71,10.62 +mixer_s16_224,3636.18,281.601,1024,224,3.79,5.97,18.53 +pit_xs_distilled_224,3615.14,283.241,1024,224,1.41,7.76,11.0 +ecaresnetlight,3578.86,286.112,1024,224,4.11,8.42,30.16 +gluon_resnet50_v1b,3553.85,288.125,1024,224,4.11,11.11,25.56 +eca_halonext26ts,3546.67,288.71,1024,256,2.44,11.46,10.76 +swsl_resnet50,3546.19,288.748,1024,224,4.11,11.11,25.56 +tv_resnet50,3545.52,288.801,1024,224,4.11,11.11,25.56 +ssl_resnet50,3545.14,288.833,1024,224,4.11,11.11,25.56 +resnet50,3544.26,288.904,1024,224,4.11,11.11,25.56 +poolformer_s12,3517.37,291.113,1024,224,1.82,5.53,11.92 +rexnetr_200,3507.94,145.944,512,224,1.59,15.11,16.52 +dla46_c,3470.52,295.04,1024,224,0.58,4.5,1.3 +efficientnet_em,3446.66,297.086,1024,240,3.04,14.34,6.9 +resnet32ts,3441.99,297.489,1024,256,4.63,11.58,17.96 +dpn68,3441.53,297.53,1024,224,2.35,10.47,12.61 +dpn68b,3424.64,298.997,1024,224,2.35,10.47,12.61 +botnet26t_256,3414.09,299.918,1024,256,3.32,11.98,12.49 +regnety_016,3396.79,301.447,1024,224,1.63,8.04,11.2 +xcit_tiny_12_p16_224_dist,3391.79,301.892,1024,224,1.24,6.29,6.72 +resnet33ts,3389.22,302.122,1024,256,4.76,11.66,19.68 +xcit_tiny_12_p16_224,3388.8,302.158,1024,224,1.24,6.29,6.72 +nf_regnet_b1,3376.64,303.248,1024,288,1.02,9.2,10.22 +resnetv2_50t,3372.1,303.654,1024,224,4.32,11.82,25.57 +resnetv2_50d,3370.23,303.824,1024,224,4.35,11.92,25.57 +gluon_resnet50_v1c,3357.28,304.996,1024,224,4.35,11.92,25.58 +nf_regnet_b2,3357.15,305.008,1024,272,1.22,9.27,14.31 +halonet26t,3341.01,306.482,1024,256,3.19,11.69,12.48 +gmixer_12_224,3331.74,307.335,1024,224,2.67,7.26,12.7 +tf_efficientnet_em,3315.19,308.867,1024,240,3.04,14.34,6.9 +skresnet34,3309.87,309.366,1024,224,3.67,5.13,22.28 +seresnet33ts,3273.95,312.759,1024,256,4.76,11.66,19.78 +tf_efficientnet_b2,3269.65,313.17,1024,260,1.02,13.83,9.11 +eca_resnet33ts,3266.95,313.43,1024,256,4.76,11.66,19.68 +tf_efficientnet_b2_ns,3265.96,313.524,1024,260,1.02,13.83,9.11 +tf_efficientnet_b2_ap,3265.24,313.594,1024,260,1.02,13.83,9.11 +vit_small_patch32_384,3261.97,313.907,1024,384,3.45,8.25,22.92 +resnet50t,3224.3,317.574,1024,224,4.32,11.82,25.57 +gluon_resnet50_v1d,3223.07,317.695,1024,224,4.35,11.92,25.58 +bat_resnext26ts,3219.21,318.076,1024,256,2.53,12.51,10.73 +resnet50d,3219.13,318.085,1024,224,4.35,11.92,25.58 +legacy_seresnet50,3183.45,321.65,1024,224,3.88,10.6,28.09 +convnext_nano_hnf,3142.93,325.795,1024,224,2.45,8.37,15.59 +gcresnet33ts,3109.78,329.272,1024,256,4.76,11.68,19.88 +vovnet39a,3106.34,329.636,1024,224,7.09,6.73,22.6 +efficientnet_b2,3086.88,331.715,1024,288,1.12,16.2,9.11 +efficientnet_b2a,3085.38,331.876,1024,288,1.12,16.2,9.11 +seresnet50,3063.5,334.246,1024,224,4.11,11.13,28.09 +efficientnet_b3_pruned,3061.51,334.462,1024,300,1.04,11.86,9.86 +vit_small_resnet26d_224,3015.3,339.587,1024,224,5.07,11.12,63.61 +ese_vovnet39b,2994.81,341.913,1024,224,7.09,6.74,24.57 +res2net50_48w_2s,2988.95,342.583,1024,224,4.18,11.72,25.29 +cspresnext50,2987.05,342.799,1024,224,3.1,12.14,20.57 +haloregnetz_b,2983.57,343.199,1024,224,1.97,11.94,11.68 +eca_vovnet39b,2981.18,343.475,1024,224,7.09,6.74,22.6 +selecsls84,2979.85,343.628,1024,224,5.9,7.57,50.95 +tv_resnext50_32x4d,2888.51,354.496,1024,224,4.26,14.4,25.03 +swsl_resnext50_32x4d,2887.95,354.564,1024,224,4.26,14.4,25.03 +gluon_resnext50_32x4d,2886.69,354.718,1024,224,4.26,14.4,25.03 +resnetaa50d,2886.21,354.778,1024,224,5.39,12.44,25.58 +resnext50_32x4d,2882.66,355.215,1024,224,4.26,14.4,25.03 +ssl_resnext50_32x4d,2874.35,356.241,1024,224,4.26,14.4,25.03 +mixnet_s,2870.58,356.71,1024,224,0.25,6.25,4.13 +tv_densenet121,2868.5,356.969,1024,224,2.87,6.9,7.98 +densenet121,2859.93,358.034,1024,224,2.87,6.9,7.98 +crossvit_tiny_240,2844.98,359.92,1024,240,1.57,9.08,7.01 +gluon_resnet50_v1s,2839.32,360.638,1024,224,5.47,13.52,25.68 +resnetrs50,2835.76,361.089,1024,224,4.48,12.14,35.69 +ecaresnet101d_pruned,2830.74,361.73,1024,224,3.48,7.69,24.88 +seresnet50t,2823.21,362.695,1024,224,4.32,11.83,28.1 +ecaresnet50d,2805.68,364.961,1024,224,4.35,11.93,25.58 +rexnet_200,2798.14,182.968,512,224,1.56,14.91,16.37 +dla34,2784.38,367.75,1024,224,3.07,5.02,15.74 +crossvit_9_240,2767.15,370.043,1024,240,1.85,9.52,8.55 +dla46x_c,2763.35,370.549,1024,224,0.54,5.66,1.07 +hrnet_w18_small_v2,2753.44,371.885,1024,224,2.62,9.65,15.6 +cspresnet50,2747.09,372.74,1024,256,4.54,11.5,21.62 +densenet121d,2731.42,374.878,1024,224,3.11,7.7,8.0 +tf_mixnet_s,2728.95,375.223,1024,224,0.25,6.25,4.13 +crossvit_9_dagger_240,2727.58,375.412,1024,240,1.99,9.97,8.78 +convit_tiny,2724.97,375.771,1024,224,1.26,7.94,5.71 +efficientnet_lite3,2724.75,187.896,512,300,1.65,21.85,8.2 +regnetz_b16,2699.0,379.388,1024,288,2.39,16.43,9.72 +dla60x_c,2695.93,379.816,1024,224,0.59,6.01,1.32 +resnext50d_32x4d,2662.94,384.525,1024,224,4.5,15.2,25.05 +resnetblur50,2614.02,391.72,1024,224,5.16,12.02,25.56 +vgg11_bn,2605.49,196.497,512,224,7.62,7.44,132.87 +gmlp_ti16_224,2595.56,394.507,1024,224,1.34,7.55,5.87 +cspresnet50d,2589.51,395.427,1024,256,4.86,12.55,21.64 +cspresnet50w,2569.03,398.577,1024,256,5.04,12.19,28.12 +legacy_seresnext50_32x4d,2559.94,399.996,1024,224,4.26,14.42,27.56 +seresnext50_32x4d,2557.01,400.454,1024,224,4.26,14.42,27.56 +seresnetaa50d,2555.76,400.65,1024,224,5.4,12.46,28.11 +gluon_seresnext50_32x4d,2554.83,400.796,1024,224,4.26,14.42,27.56 +vovnet57a,2541.91,402.835,1024,224,8.95,7.52,36.64 +res2net50_26w_4s,2528.48,404.972,1024,224,4.28,12.61,25.7 +fbnetv3_g,2526.11,405.353,1024,288,1.77,21.09,16.62 +gcresnet50t,2519.53,406.409,1024,256,5.42,14.67,25.9 +mobilevit_xs,2517.79,203.342,512,256,1.05,16.33,2.32 +efficientnetv2_rw_t,2509.76,407.994,1024,288,3.19,16.42,13.65 +tf_efficientnetv2_b3,2477.2,413.357,1024,300,3.04,15.74,14.36 +ese_vovnet57b,2451.87,417.628,1024,224,8.95,7.52,38.61 +vit_base2_patch32_256,2444.79,418.837,1024,256,7.79,7.76,119.46 +densenetblur121d,2444.27,418.923,1024,224,3.11,7.9,8.0 +tf_efficientnet_lite3,2442.3,209.627,512,300,1.65,21.85,8.2 +vit_tiny_r_s16_p8_384,2438.04,209.992,512,384,1.34,6.49,6.36 +vit_small_patch16_224,2432.98,420.87,1024,224,4.61,11.95,22.05 +resnetblur50d,2432.25,420.996,1024,224,5.4,12.82,25.58 +deit_small_patch16_224,2428.96,421.564,1024,224,4.61,11.95,22.05 +nf_seresnet50,2416.51,423.739,1024,224,4.21,11.13,28.09 +nf_ecaresnet50,2408.03,425.23,1024,224,4.21,11.13,25.56 +inception_v3,2407.94,425.243,1024,299,5.73,8.97,23.83 +tf_inception_v3,2403.0,426.12,1024,299,5.73,8.97,23.83 +pit_s_224,2400.22,426.615,1024,224,2.88,11.56,23.46 +adv_inception_v3,2396.39,427.291,1024,299,5.73,8.97,23.83 +deit_small_distilled_patch16_224,2393.24,427.856,1024,224,4.63,12.02,22.44 +gluon_inception_v3,2390.99,428.257,1024,299,5.73,8.97,23.83 +pit_s_distilled_224,2380.56,430.136,1024,224,2.9,11.64,24.04 +vit_base_resnet26d_224,2375.02,431.141,1024,224,6.97,13.16,101.4 +resnest14d,2369.9,432.072,1024,224,2.76,7.33,10.61 +lambda_resnet26rpt_256,2366.95,216.301,512,256,3.16,11.87,10.99 +densenet169,2363.13,433.308,1024,224,3.4,7.3,14.15 +skresnet50,2341.67,437.282,1024,224,4.11,12.5,25.8 +gc_efficientnetv2_rw_t,2301.92,444.832,1024,288,3.2,16.45,13.68 +res2net50_14w_8s,2274.27,450.241,1024,224,4.21,13.28,25.06 +gcresnext50ts,2273.63,450.365,1024,256,3.75,15.46,15.67 +sehalonet33ts,2269.0,225.638,512,256,3.55,14.7,13.69 +resmlp_24_224,2264.75,452.133,1024,224,5.96,10.91,30.02 +resmlp_24_distilled_224,2264.4,452.202,1024,224,5.96,10.91,30.02 +darknet53,2257.9,226.743,512,256,9.31,12.39,41.61 +resnetv2_101,2240.07,457.113,1024,224,7.83,16.23,44.54 +skresnet50d,2193.77,466.762,1024,224,4.36,13.31,25.82 +gluon_resnet101_v1b,2175.78,470.623,1024,224,7.83,16.23,44.55 +tv_resnet101,2173.0,471.223,1024,224,7.83,16.23,44.55 +resnet101,2169.86,471.907,1024,224,7.83,16.23,44.55 +res2next50,2165.07,472.951,1024,224,4.2,13.71,24.67 +nf_regnet_b3,2142.11,478.019,1024,320,2.05,14.61,18.59 +ecaresnet26t,2130.22,480.685,1024,320,5.24,16.44,16.01 +resnetv2_101d,2102.02,487.136,1024,224,8.07,17.04,44.56 +gluon_resnet101_v1c,2099.96,487.615,1024,224,8.08,17.04,44.57 +dla60,2086.09,490.853,1024,224,4.26,10.16,22.04 +gluon_resnet101_v1d,2048.54,499.853,1024,224,8.08,17.04,44.57 +vgg13,2036.07,502.915,1024,224,11.31,12.25,133.05 +convnext_tiny_hnf,2032.23,503.867,1024,224,4.47,13.44,28.59 +mobilevit_s,2031.79,251.983,512,256,2.03,19.94,5.58 +wide_resnet50_2,2003.76,511.025,1024,224,11.43,14.4,68.88 +efficientnet_b0_gn,1990.83,257.167,512,224,0.42,6.75,5.29 +repvgg_b1,1937.46,528.514,1024,224,13.16,10.64,57.42 +sebotnet33ts_256,1925.17,199.45,384,256,3.89,17.46,13.7 +legacy_seresnet101,1920.98,533.049,1024,224,7.61,15.74,49.33 +resnetaa101d,1902.88,538.118,1024,224,9.12,17.56,44.57 +semobilevit_s,1901.2,269.292,512,256,2.03,19.95,5.74 +dla60x,1896.63,539.888,1024,224,3.54,13.8,17.35 +vit_base_resnet50d_224,1891.44,541.372,1024,224,8.73,16.92,110.97 +gluon_resnet101_v1s,1885.09,543.196,1024,224,9.19,18.64,44.67 +resnet51q,1880.5,544.522,1024,288,8.07,20.94,35.7 +seresnet101,1876.16,545.782,1024,224,7.84,16.27,49.33 +tf_efficientnet_b3_ns,1869.48,273.862,512,300,1.87,23.83,12.23 +tf_efficientnet_b3,1867.21,274.194,512,300,1.87,23.83,12.23 +tf_efficientnet_b3_ap,1867.02,274.222,512,300,1.87,23.83,12.23 +coat_lite_tiny,1852.39,552.786,1024,224,1.6,11.65,5.72 +efficientnet_b3,1838.85,278.423,512,320,2.01,26.52,12.23 +efficientnet_b3a,1837.41,278.642,512,320,2.01,26.52,12.23 +poolformer_s24,1826.45,560.637,1024,224,3.41,10.68,21.39 +densenet201,1819.15,562.883,1024,224,4.34,7.85,20.01 +xcit_tiny_24_p16_224_dist,1814.23,564.411,1024,224,2.34,11.82,12.12 +nf_resnet101,1807.6,566.485,1024,224,8.01,16.23,44.55 +xcit_tiny_24_p16_224,1806.45,566.843,1024,224,2.34,11.82,12.12 +cspdarknet53,1800.59,284.34,512,256,6.57,16.81,27.64 +resnext101_32x4d,1797.78,569.576,1024,224,8.01,21.23,44.18 +ssl_resnext101_32x4d,1797.66,569.615,1024,224,8.01,21.23,44.18 +swsl_resnext101_32x4d,1795.39,570.337,1024,224,8.01,21.23,44.18 +gluon_resnext101_32x4d,1793.08,571.07,1024,224,8.01,21.23,44.18 +xcit_small_12_p16_224_dist,1789.93,572.076,1024,224,4.82,12.58,26.25 +xcit_small_12_p16_224,1789.28,572.284,1024,224,4.82,12.58,26.25 +halonet50ts,1788.45,572.549,1024,256,5.3,19.2,22.73 +res2net50_26w_6s,1775.31,576.783,1024,224,6.33,15.28,37.05 +coat_lite_mini,1771.74,577.95,1024,224,2.0,12.25,11.01 +ecaresnet101d,1771.55,578.01,1024,224,8.08,17.07,44.57 +convnext_tiny_hnfd,1758.43,582.323,1024,224,4.78,14.64,28.63 +regnetz_c16,1753.5,291.974,512,320,3.92,25.88,13.46 +nf_resnet50,1751.0,584.795,1024,288,6.88,18.37,25.56 +dla60_res2net,1735.18,590.122,1024,224,4.15,12.34,20.85 +convnext_tiny,1731.03,591.541,1024,224,4.47,13.44,28.59 +resnest26d,1730.95,591.569,1024,224,3.64,9.97,17.07 +vit_small_r26_s32_224,1710.8,598.536,1024,224,3.56,9.85,36.43 +gmixer_24_224,1701.15,601.933,1024,224,5.28,14.45,24.72 +resnetblur101d,1698.79,602.767,1024,224,9.12,17.94,44.57 +resnet61q,1686.77,607.063,1024,288,9.87,21.52,36.85 +vgg13_bn,1654.93,309.368,512,224,11.33,12.25,133.05 +vgg16,1643.23,623.151,1024,224,15.47,13.56,138.36 +xcit_nano_12_p16_384_dist,1641.55,623.788,1024,384,1.64,12.15,3.05 +efficientnet_b0_g8_gn,1622.56,315.54,512,224,0.66,6.75,6.56 +repvgg_b1g4,1617.36,633.118,1024,224,8.15,10.64,39.97 +regnetx_032,1612.7,634.945,1024,224,3.2,11.37,15.3 +resnetv2_50d_frn,1611.81,635.295,1024,224,4.33,11.92,25.59 +res2net101_26w_4s,1600.73,639.694,1024,224,8.1,18.45,45.21 +regnetx_040,1592.21,643.119,1024,224,3.99,12.2,22.12 +legacy_seresnext101_32x4d,1591.58,643.374,1024,224,8.02,21.26,48.96 +seresnext101_32x4d,1590.99,643.61,1024,224,8.02,21.26,48.96 +gluon_seresnext101_32x4d,1588.09,644.785,1024,224,8.02,21.26,48.96 +twins_svt_small,1586.89,645.273,1024,224,2.94,13.75,24.06 +ese_vovnet39b_evos,1567.33,653.327,1024,224,7.07,6.74,24.58 +xception41p,1557.52,328.715,512,299,9.25,39.86,26.91 +visformer_small,1553.17,659.284,1024,224,4.88,11.43,40.22 +hrnet_w32,1550.18,660.555,1024,224,8.97,22.02,41.23 +resnetv2_152,1549.71,660.755,1024,224,11.55,22.56,60.19 +dla60_res2next,1549.6,660.797,1024,224,3.49,13.17,17.03 +resnetv2_50d_evob,1548.76,661.162,1024,224,4.33,11.92,25.59 +resnest50d_1s4x24d,1548.3,661.358,1024,224,4.43,13.57,25.68 +xception,1544.37,331.513,512,299,8.4,35.83,22.86 +botnet50ts_256,1543.72,331.651,512,256,5.54,22.23,22.74 +dla102,1543.56,663.384,1024,224,7.19,14.18,33.27 +resnetv2_50x1_bit_distilled,1536.12,666.602,1024,224,4.23,11.11,25.55 +crossvit_small_240,1535.71,666.778,1024,240,5.63,18.17,26.86 +gluon_resnet152_v1b,1521.2,673.136,1024,224,11.56,22.56,60.19 +resmlp_36_224,1519.99,673.674,1024,224,8.91,16.33,44.69 +tv_resnet152,1519.51,673.886,1024,224,11.56,22.56,60.19 +resmlp_36_distilled_224,1519.32,673.971,1024,224,8.91,16.33,44.69 +resnet152,1516.8,675.093,1024,224,11.56,22.56,60.19 +efficientnet_el_pruned,1511.43,338.74,512,300,8.0,30.7,10.59 +efficientnet_el,1502.87,340.669,512,300,8.0,30.7,10.59 +res2net50_26w_8s,1500.5,682.425,1024,224,8.37,17.95,48.4 +nf_seresnet101,1495.3,684.796,1024,224,8.02,16.27,49.33 +nf_ecaresnet101,1488.87,687.754,1024,224,8.01,16.27,44.55 +resnetv2_152d,1485.92,689.12,1024,224,11.8,23.36,60.2 +gluon_resnet152_v1c,1482.34,690.787,1024,224,11.8,23.36,60.21 +halo2botnet50ts_256,1478.01,692.809,1024,256,5.02,21.78,22.64 +tf_efficientnet_el,1462.97,349.96,512,300,8.0,30.7,10.59 +gluon_resnet152_v1d,1456.19,703.189,1024,224,11.8,23.36,60.21 +mixnet_m,1441.42,710.398,1024,224,0.36,8.19,5.01 +gmlp_s16_224,1435.92,713.117,1024,224,4.42,15.1,19.42 +hrnet_w18,1435.25,713.441,1024,224,4.32,16.31,21.3 +vit_large_patch32_224,1434.56,713.791,1024,224,15.39,13.3,306.54 +dla102x,1422.48,719.854,1024,224,5.89,19.42,26.31 +tf_mixnet_m,1407.14,727.704,1024,224,0.36,8.19,5.01 +vit_base_r26_s32_224,1405.74,728.426,1024,224,6.81,12.36,101.38 +crossvit_15_240,1405.36,728.622,1024,240,5.81,19.77,27.53 +mixer_b16_224,1393.37,734.893,1024,224,12.62,14.53,59.88 +cait_xxs24_224,1391.6,735.832,1024,224,2.53,20.29,11.96 +mixer_b16_224_miil,1391.59,735.836,1024,224,12.62,14.53,59.88 +mixer_l32_224,1381.87,741.013,1024,224,11.27,19.86,206.94 +vgg19,1378.09,743.046,1024,224,19.63,14.86,143.67 +ecaresnet50t,1376.72,743.784,1024,320,8.82,24.13,25.57 +crossvit_15_dagger_240,1372.92,745.84,1024,240,6.13,20.43,28.21 +gluon_resnet152_v1s,1372.05,746.315,1024,224,12.92,24.96,60.32 +vgg16_bn,1370.07,373.69,512,224,15.5,13.56,138.37 +regnety_032,1366.08,749.575,1024,288,5.29,18.61,19.44 +skresnext50_32x4d,1361.83,751.915,1024,224,4.5,17.18,27.48 +ese_vovnet99b,1355.58,755.384,1024,224,16.51,11.27,63.2 +xception41,1339.87,382.115,512,299,9.28,39.86,26.97 +legacy_seresnet152,1328.26,770.919,1024,224,11.33,22.08,66.82 +dpn92,1311.48,780.784,1024,224,6.54,18.21,37.67 +seresnet152,1304.92,784.709,1024,224,11.57,22.61,66.82 +vit_base_patch32_384,1292.62,792.174,1024,384,13.06,16.5,88.3 +efficientnet_lite4,1290.99,297.435,384,380,4.04,45.66,13.01 +inception_v4,1286.59,795.889,1024,299,12.28,15.09,42.68 +swin_tiny_patch4_window7_224,1284.81,796.991,1024,224,4.51,17.06,28.29 +tresnet_m,1280.32,799.79,1024,224,5.74,7.31,31.39 +densenet161,1276.37,802.258,1024,224,7.79,11.06,28.68 +twins_pcpvt_small,1273.73,803.927,1024,224,3.83,18.08,24.11 +regnetx_080,1262.29,811.211,1024,224,8.02,14.06,39.57 +convit_small,1252.96,817.253,1024,224,5.76,17.87,27.78 +repvgg_b2,1245.13,822.392,1024,224,20.45,12.9,89.02 +xcit_nano_12_p8_224_dist,1241.05,825.093,1024,224,2.16,15.71,3.05 +xcit_nano_12_p8_224,1238.63,826.705,1024,224,2.16,15.71,3.05 +poolformer_s36,1233.24,830.321,1024,224,5.0,15.82,30.86 +hrnet_w30,1225.12,835.817,1024,224,8.15,21.21,37.71 +swin_s3_tiny_224,1200.23,853.151,1024,224,4.64,19.13,28.33 +vit_tiny_patch16_384,1196.63,855.72,1024,384,4.7,25.39,5.79 +vit_small_resnet50d_s16_224,1187.59,862.229,1024,224,13.48,24.82,57.53 +tf_efficientnet_lite4,1185.79,323.823,384,380,4.04,45.66,13.01 +resnest50d,1179.24,868.341,1024,224,5.4,14.36,27.48 +vgg19_bn,1171.24,437.132,512,224,19.66,14.86,143.68 +regnetx_064,1170.17,437.532,512,224,6.49,16.37,26.21 +nf_regnet_b4,1167.32,877.209,1024,384,4.7,28.61,30.21 +xcit_tiny_12_p16_384_dist,1163.91,879.777,1024,384,3.64,18.26,6.72 +efficientnetv2_s,1144.22,894.92,1024,384,8.44,35.77,21.46 +dla169,1134.2,902.821,1024,224,11.6,20.2,53.39 +regnetz_d8,1133.56,903.33,1024,320,6.19,37.08,23.37 +wide_resnet101_2,1128.84,907.11,1024,224,22.8,21.23,126.89 +gluon_resnext101_64x4d,1125.42,909.866,1024,224,15.52,31.21,83.46 +convnext_small,1123.49,911.428,1024,224,8.7,21.56,50.22 +xception65p,1116.94,458.382,512,299,13.91,52.48,39.82 +mixnet_l,1114.32,459.458,512,224,0.58,10.84,7.33 +resnet50_gn,1113.26,919.804,1024,224,4.14,11.11,25.56 +eca_nfnet_l0,1110.51,922.082,1024,288,7.12,17.29,24.14 +tf_efficientnetv2_s_in21ft1k,1107.38,924.691,1024,384,8.44,35.77,21.46 +nfnet_l0,1107.03,924.983,1024,288,7.13,17.29,35.07 +tf_efficientnetv2_s,1106.17,925.705,1024,384,8.44,35.77,21.46 +resnet200,1102.75,928.576,1024,224,15.07,32.19,64.67 +dpn98,1102.66,928.653,1024,224,11.73,25.2,61.57 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+volo_d5_224,183.53,5579.332,1024,224,72.4,118.11,295.46 +tf_efficientnetv2_l,183.5,2790.123,512,480,56.4,157.99,118.52 +tf_efficientnetv2_l_in21ft1k,183.34,2792.665,512,480,56.4,157.99,118.52 +swin_v2_cr_small_384,182.55,1402.341,256,384,29.73,328.89,49.7 +swin_base_patch4_window12_384,176.96,1085.005,192,384,47.19,134.78,87.9 +xcit_medium_24_p8_224_dist,176.61,5798.18,1024,224,63.53,121.23,84.32 +xcit_medium_24_p8_224,176.56,5799.802,1024,224,63.53,121.23,84.32 +cait_xs24_384,175.88,2911.134,512,384,19.28,183.98,26.67 +vit_base_patch8_224,173.92,1471.961,256,224,78.22,161.69,86.58 +convnext_large_384_in22ft1k,167.45,1528.836,256,384,101.09,126.74,197.77 +cait_xxs36_384,165.77,6177.386,1024,384,14.35,183.7,17.37 +vit_base_resnet50_384,164.81,2329.882,384,384,67.43,135.03,98.95 +vit_base_r50_s16_384,164.76,2330.691,384,384,67.43,135.03,98.95 +densenet264d_iabn,164.43,6227.497,1024,224,13.47,14.0,72.74 +nfnet_f2,161.44,6342.864,1024,352,63.22,79.06,193.78 +efficientnet_b7,159.81,600.7,96,600,38.33,289.94,66.35 +swin_v2_cr_huge_224,158.24,2426.623,384,224,115.98,130.61,657.83 +volo_d2_384,157.29,1627.556,256,384,46.17,184.51,58.87 +xcit_tiny_24_p8_384_dist,155.86,6569.908,1024,384,27.05,132.95,12.11 +xcit_small_12_p8_384_dist,155.07,3301.621,512,384,54.92,138.29,26.21 +tf_efficientnet_b7,154.05,623.167,96,600,38.33,289.94,66.35 +tf_efficientnet_b7_ap,154.01,623.324,96,600,38.33,289.94,66.35 +tf_efficientnet_b7_ns,153.96,623.512,96,600,38.33,289.94,66.35 +tresnet_l_448,152.46,6716.506,1024,448,43.5,47.56,55.99 +dm_nfnet_f2,147.56,3469.794,512,352,63.22,79.06,193.78 +xcit_large_24_p16_384_dist,142.96,3581.333,512,384,105.35,137.17,189.1 +efficientnetv2_xl,140.5,2733.05,384,512,93.85,247.32,208.12 +tf_efficientnetv2_xl_in21ft1k,139.84,2745.956,384,512,93.85,247.32,208.12 +swin_v2_cr_base_384,136.74,1404.102,192,384,50.61,374.82,87.88 +vit_huge_patch14_224,136.63,7494.593,1024,224,167.4,139.41,632.05 +cait_s24_384,136.25,3757.768,512,384,32.17,245.31,47.06 +resnetrs420,133.09,3846.971,512,416,108.45,213.79,191.89 +eca_nfnet_l3,123.63,4141.303,512,448,52.55,118.4,72.04 +convnext_xlarge_384_in22ft1k,114.1,1682.671,192,384,179.18,168.99,350.2 +tresnet_xl_448,113.35,9034.224,1024,448,60.65,61.31,78.44 +swin_large_patch4_window12_384,111.26,1150.4,128,384,104.08,202.16,196.74 +efficientnet_cc_b0_4e,107.9,9.259,1,224,0.41,9.42,13.31 +xcit_large_24_p8_224,106.51,4807.053,512,224,141.23,181.56,188.93 +xcit_large_24_p8_224_dist,106.39,4812.62,512,224,141.23,181.56,188.93 +tf_efficientnet_cc_b0_4e,105.13,9.503,1,224,0.41,9.42,13.31 +tf_efficientnet_cc_b0_8e,101.03,9.888,1,224,0.42,9.42,24.01 +efficientnet_cc_b0_8e,100.58,9.933,1,224,0.42,9.42,24.01 +efficientnet_b8,97.89,980.672,96,672,63.48,442.89,87.41 +resnetv2_152x2_bit_teacher_384,95.58,2678.506,256,384,136.16,132.56,236.34 +tf_efficientnet_b8,94.94,1011.165,96,672,63.48,442.89,87.41 +tf_efficientnet_b8_ap,94.88,1011.773,96,672,63.48,442.89,87.41 +resnest269e,92.66,4144.14,384,416,77.69,171.98,110.93 +resnetv2_50x3_bitm,91.89,1392.952,128,448,145.7,133.37,217.32 +cait_s36_384,91.13,5618.401,512,384,47.99,367.4,68.37 +vit_large_patch16_384,91.02,2812.461,256,384,191.21,270.24,304.72 +vit_giant_patch14_224,90.41,5663.146,512,224,267.18,192.64,1012.61 +swin_v2_cr_large_384,87.0,1471.203,128,384,109.02,466.67,196.68 +nfnet_f3,83.54,6128.872,512,416,115.58,141.78,254.92 +convmixer_1024_20_ks9_p14,82.81,12365.256,1024,224,5.55,5.51,24.38 +xcit_small_24_p8_384_dist,81.31,6296.644,512,384,105.24,265.91,47.63 +beit_large_patch16_384,78.92,3243.632,256,384,191.21,270.24,305.0 +dm_nfnet_f3,76.98,6650.815,512,416,115.58,141.78,254.92 +efficientnet_cc_b1_8e,74.31,13.446,1,240,0.75,15.44,39.72 +tf_efficientnet_cc_b1_8e,71.55,13.966,1,240,0.75,15.44,39.72 +resnetv2_152x2_bitm,70.29,2731.662,192,448,184.99,180.43,236.34 +volo_d3_448,69.5,2762.392,192,448,96.33,446.83,86.63 +xcit_medium_24_p8_384_dist,60.36,4241.495,256,384,186.67,354.73,84.32 +resnetv2_101x3_bitm,56.99,2245.848,128,448,280.33,194.78,387.93 +vit_gigantic_patch14_224,54.97,6985.565,384,224,483.95,275.37,1844.44 +volo_d4_448,52.04,3689.433,192,448,197.13,527.35,193.41 +swin_v2_cr_giant_224,47.35,2703.077,128,224,483.88,342.95,2598.76 +nfnet_f4,45.03,8527.847,384,512,216.26,262.26,316.07 +dm_nfnet_f4,41.28,9302.917,384,512,216.26,262.26,316.07 +swin_v2_cr_huge_384,40.59,1576.755,64,384,352.16,696.31,657.94 +xcit_large_24_p8_384_dist,36.24,5297.999,192,384,415.0,531.82,188.93 +volo_d5_448,36.04,3551.639,128,448,315.06,737.92,295.91 +nfnet_f5,33.24,11553.271,384,544,290.97,349.71,377.21 +beit_large_patch16_512,32.09,2991.564,96,512,362.24,656.39,305.67 +dm_nfnet_f5,31.46,8137.719,256,544,290.97,349.71,377.21 +cait_m36_384,30.85,8298.098,256,384,173.11,734.81,271.22 +nfnet_f6,25.52,10030.043,256,576,378.69,452.2,438.36 +volo_d5_512,25.24,5072.088,128,512,425.09,1105.37,296.09 +dm_nfnet_f6,23.36,10959.027,256,576,378.69,452.2,438.36 +nfnet_f7,20.08,9559.462,192,608,480.39,570.85,499.5 +resnetv2_152x4_bitm,18.1,3536.743,64,480,844.84,414.26,936.53 +convmixer_1536_20,13.52,75763.376,1024,224,48.68,33.03,51.63 +cait_m48_448,13.31,9617.788,128,448,329.41,1708.23,356.46 +swin_v2_cr_giant_384,13.19,2426.875,32,384,1451.0,1686.82,2598.76 diff --git a/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv b/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv index 9337f189..f13f2980 100644 --- a/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv +++ b/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv @@ -1,703 +1,756 @@ model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count -tinynet_e,8788.08,57.613,512,106,2.04 -mobilenetv3_small_050,6451.43,78.69,512,224,1.59 -tf_mobilenetv3_small_minimal_100,6231.46,81.639,512,224,2.04 -levit_128s,5345.65,94.962,512,224,7.78 -lcnet_035,5326.51,95.668,512,224,1.64 -mobilenetv3_small_075,5149.15,98.754,512,224,2.04 -lcnet_050,4879.43,104.466,512,224,1.88 -tf_mobilenetv3_small_075,4839.2,105.1,512,224,2.04 -mobilenetv3_small_100,4741.69,107.315,512,224,2.54 -tf_mobilenetv3_small_100,4474.54,113.738,512,224,2.54 -tinynet_d,4465.05,113.942,512,152,2.34 -mixer_s32_224,3957.52,128.859,512,224,19.1 -levit_128,3868.72,131.359,512,224,9.21 -lcnet_075,3674.09,138.887,512,224,2.36 -vit_small_patch32_224,3657.34,139.252,512,224,22.88 -vit_tiny_r_s16_p8_224,3407.13,149.506,512,224,6.34 -regnetx_002,3372.01,151.204,512,224,2.68 -levit_192,3357.19,151.505,512,224,10.95 -mnasnet_small,3158.42,161.274,512,224,2.03 -regnety_002,3119.2,163.263,512,224,3.16 -lcnet_100,3075.72,165.994,512,224,2.95 -mobilenetv2_035,3007.95,169.496,512,224,1.68 -gernet_s,2901.28,175.82,512,224,8.17 -gluon_resnet18_v1b,2671.91,191.302,512,224,11.69 -swsl_resnet18,2669.15,191.488,512,224,11.69 -ssl_resnet18,2668.71,191.54,512,224,11.69 -resnet18,2662.83,191.947,512,224,11.69 -mobilenetv2_050,2596.25,196.482,512,224,1.97 -levit_256,2559.67,199.033,512,224,18.89 -regnetx_004,2499.65,203.84,512,224,5.16 -mnasnet_050,2494.39,204.524,512,224,2.22 -semnasnet_050,2494.01,204.433,512,224,2.08 -seresnet18,2463.7,207.356,512,224,11.78 -ese_vovnet19b_slim_dw,2437.98,209.545,512,224,1.9 -legacy_seresnet18,2413.99,211.632,512,224,11.78 -tinynet_c,2389.53,213.326,512,184,2.46 -tf_mobilenetv3_large_minimal_100,2278.25,224.06,512,224,3.92 -lcnet_150,2248.73,227.214,512,224,4.5 -mobilenetv3_large_075,2139.42,238.494,512,224,3.99 -ghostnet_050,2137.33,238.296,512,224,2.59 -resnet18d,2046.03,249.892,512,224,11.71 -tf_mobilenetv3_large_075,2027.78,251.65,512,224,3.99 -regnetx_006,2023.49,252.29,512,224,6.2 -ese_vovnet19b_slim,1970.7,259.464,512,224,3.17 -mobilenetv3_rw,1940.58,263.024,512,224,5.48 -mobilenetv3_large_100,1936.66,263.562,512,224,5.48 -mobilenetv3_large_100_miil,1936.5,263.563,512,224,5.48 -mnasnet_075,1879.23,271.718,512,224,3.17 -mobilenetv2_075,1868.15,273.318,512,224,2.64 -tf_efficientnetv2_b0,1853.32,275.137,512,224,7.14 -tf_mobilenetv3_large_100,1838.66,277.647,512,224,5.48 -regnety_004,1819.61,280.334,512,224,4.34 -resnetblur18,1808.21,282.828,512,224,11.69 -semnasnet_075,1791.94,284.855,512,224,2.91 -regnety_006,1780.58,286.558,512,224,6.06 -mobilenetv2_100,1744.9,292.687,512,224,3.5 -skresnet18,1742.33,293.29,512,224,11.96 -mnasnet_b1,1686.64,302.825,512,224,4.38 -mnasnet_100,1686.2,302.919,512,224,4.38 -deit_tiny_patch16_224,1678.5,304.281,512,224,5.72 -vit_tiny_patch16_224,1673.2,305.238,512,224,5.72 -tinynet_b,1669.81,305.621,512,188,3.73 -hardcorenas_a,1656.9,308.354,512,224,5.26 -deit_tiny_distilled_patch16_224,1654.85,308.608,512,224,5.91 -hardcorenas_b,1648.45,309.73,512,224,5.18 -regnetx_008,1647.09,310.092,512,224,7.26 -mnasnet_a1,1641.47,311.08,512,224,3.89 -semnasnet_100,1640.14,311.319,512,224,3.89 -levit_384,1616.42,315.722,512,224,39.13 -gluon_resnet34_v1b,1598.5,319.781,512,224,21.8 -resnet34,1593.87,320.693,512,224,21.8 -tv_resnet34,1592.81,320.898,512,224,21.8 -mixer_b32_224,1579.25,323.449,512,224,60.29 -hardcorenas_c,1569.06,325.387,512,224,5.52 -visformer_tiny,1563.94,326.764,512,224,10.32 -spnasnet_100,1551.19,329.16,512,224,4.42 -pit_ti_distilled_224,1547.24,330.092,512,224,5.1 -pit_ti_224,1546.92,330.186,512,224,4.85 -hardcorenas_d,1543.77,330.549,512,224,7.5 -ghostnet_100,1541.6,330.868,512,224,5.18 -vit_base_patch32_224,1529.64,333.95,512,224,88.22 -vit_base_patch32_224_sam,1527.96,334.33,512,224,88.22 -regnety_008,1525.57,334.693,512,224,6.26 -resmlp_12_224,1513.1,337.634,512,224,15.35 -resmlp_12_distilled_224,1513.05,337.643,512,224,15.35 -seresnet34,1461.69,349.453,512,224,21.96 -nf_regnet_b0,1450.04,351.967,512,256,8.76 -legacy_seresnet34,1428.59,357.543,512,224,21.96 -gernet_m,1427.9,357.926,512,224,21.14 -ese_vovnet19b_dw,1411.33,362.322,512,224,6.54 -nf_resnet26,1408.11,363.145,512,224,16.0 -dla46_c,1390.48,367.526,512,224,1.3 -tinynet_a,1383.86,368.826,512,192,6.19 -efficientnet_lite0,1368.92,373.303,512,224,4.65 -mobilenetv2_110d,1368.66,279.598,384,224,4.52 -rexnetr_100,1367.14,279.805,384,224,4.88 -rexnet_100,1361.11,281.051,384,224,4.8 -resnet34d,1349.98,378.71,512,224,21.82 -xcit_nano_12_p16_224_dist,1340.16,380.375,512,224,3.05 -xcit_nano_12_p16_224,1338.66,380.8,512,224,3.05 -hardcorenas_f,1338.06,381.608,512,224,8.2 -selecsls42,1328.24,384.874,512,224,30.35 -ghostnet_130,1326.71,384.661,512,224,7.36 -selecsls42b,1324.18,386.065,512,224,32.46 -mixer_s16_224,1308.0,390.939,512,224,18.53 -resnet26,1305.0,391.896,512,224,16.0 -tf_efficientnet_lite0,1300.06,393.134,512,224,4.65 -hardcorenas_e,1287.59,396.566,512,224,8.07 -hrnet_w18_small,1275.09,400.255,512,224,13.19 -pit_xs_distilled_224,1245.81,410.186,512,224,11.0 -pit_xs_224,1244.79,410.521,512,224,10.62 -mnasnet_140,1243.07,411.14,512,224,7.12 -fbnetc_100,1241.42,411.527,512,224,5.57 -mobilenetv2_140,1236.2,309.893,384,224,6.11 -vit_small_patch32_384,1210.76,422.138,512,384,22.92 -efficientnet_b0,1207.97,316.872,384,224,5.29 -semnasnet_140,1199.21,426.076,512,224,6.11 -nf_seresnet26,1183.4,432.047,512,224,17.4 -tf_efficientnetv2_b1,1182.26,323.455,384,240,8.14 -vit_tiny_r_s16_p8_384,1176.2,325.707,384,384,6.36 -repvgg_b0,1166.7,437.858,512,224,15.82 -gmixer_12_224,1164.26,439.045,512,224,12.7 -tf_efficientnet_b0_ns,1155.19,331.423,384,224,5.29 -tf_efficientnet_b0,1155.11,331.42,384,224,5.29 -tf_efficientnet_b0_ap,1154.21,331.702,384,224,5.29 -efficientnet_b1_pruned,1141.45,447.176,512,240,6.33 -selecsls60,1132.77,451.165,512,224,30.67 -selecsls60b,1130.1,452.225,512,224,32.77 -resnet26d,1110.35,460.655,512,224,16.01 -nf_ecaresnet26,1108.5,461.384,512,224,16.0 -rexnetr_130,1084.92,234.909,256,224,7.61 -mixnet_s,1079.62,473.081,512,224,4.13 -dla34,1055.21,484.649,512,224,15.74 -dla46x_c,1044.64,489.413,512,224,1.07 -rexnet_130,1038.12,245.54,256,224,7.56 -regnetx_016,1027.51,497.437,512,224,9.19 -mobilenetv2_120d,1026.61,248.294,256,224,5.83 -ecaresnet50d_pruned,1019.51,501.3,512,224,19.94 -tf_mixnet_s,1018.74,501.408,512,224,4.13 -skresnet34,1008.77,506.519,512,224,22.28 -dla60x_c,999.33,511.452,512,224,1.32 -gernet_l,994.19,514.18,512,256,31.08 -xcit_tiny_12_p16_224,974.89,523.578,512,224,6.72 -xcit_tiny_12_p16_224_dist,974.56,523.762,512,224,6.72 -rexnetr_150,962.03,265.059,256,224,9.78 -crossvit_tiny_240,946.09,404.397,384,240,7.01 -crossvit_9_240,942.0,406.34,384,240,8.55 -rexnet_150,920.27,277.114,256,224,9.73 -repvgg_a2,916.8,557.644,512,224,28.21 -legacy_seresnext26_32x4d,911.29,561.256,512,224,16.79 -efficientnet_lite1,907.6,281.167,256,240,5.42 -crossvit_9_dagger_240,907.56,421.794,384,240,8.78 -regnety_016,905.38,563.868,512,224,11.2 -convit_tiny,905.04,423.366,384,224,5.71 -gmlp_ti16_224,895.37,427.435,384,224,5.87 -efficientnet_es_pruned,894.51,571.683,512,224,5.44 -efficientnet_es,894.06,571.94,512,224,5.44 -resnest14d,890.17,574.739,512,224,10.61 -deit_small_patch16_224,879.08,436.051,384,224,22.05 -vit_small_patch16_224,877.74,436.745,384,224,22.05 -tf_efficientnet_es,877.36,582.875,512,224,5.44 -resnetv2_50,874.29,584.904,512,224,25.55 -resnext26ts,872.05,439.874,384,256,10.3 -tf_efficientnet_lite1,870.75,293.088,256,240,5.42 -resnet26t,867.6,589.639,512,256,16.01 -tf_efficientnetv2_b2,866.58,294.02,256,260,10.1 -deit_small_distilled_patch16_224,865.21,443.046,384,224,22.44 -nf_regnet_b1,863.6,591.527,512,288,10.22 -nf_regnet_b2,857.0,595.977,512,272,14.31 -eca_resnext26ts,843.14,303.098,256,256,10.3 -seresnext26ts,838.62,304.653,256,256,10.39 -resnet50,826.48,463.878,384,224,25.56 -ssl_resnet50,826.14,464.04,384,224,25.56 -botnet26t_256,825.99,464.363,384,256,12.49 -tv_resnet50,825.99,464.131,384,224,25.56 -swsl_resnet50,825.61,464.367,384,224,25.56 -gluon_resnet50_v1b,825.26,464.548,384,224,25.56 -gcresnext26ts,820.94,311.077,256,256,10.48 -seresnext26t_32x4d,819.08,468.216,384,224,16.81 -seresnext26tn_32x4d,818.65,468.46,384,224,16.81 -seresnext26d_32x4d,816.35,469.756,384,224,16.81 -pit_s_224,814.17,313.637,256,224,23.46 -pit_s_distilled_224,813.41,313.92,256,224,24.04 -vgg11,798.47,641.065,512,224,132.86 -halonet26t,796.75,481.425,384,256,12.48 -eca_botnext26ts_256,794.14,321.819,256,256,10.59 -resnetv2_50t,783.96,652.33,512,224,25.57 -vit_small_resnet26d_224,783.75,488.981,384,224,63.61 -ecaresnext26t_32x4d,782.53,490.179,384,224,15.41 -ecaresnext50t_32x4d,782.45,490.233,384,224,15.41 -resnetv2_50d,781.21,654.649,512,224,25.57 -tresnet_m,773.27,659.381,512,224,31.39 -fbnetv3_d,771.82,329.985,256,256,10.31 -eca_halonext26ts,770.01,331.906,256,256,10.76 -cspresnet50,766.64,500.094,384,256,21.62 -fbnetv3_b,765.95,499.824,384,256,8.6 -ecaresnet101d_pruned,765.08,667.536,512,224,24.88 -vovnet39a,764.37,669.255,512,224,22.6 -gluon_resnet50_v1c,761.03,503.811,384,224,25.58 -cspresnext50,757.53,506.115,384,224,20.57 -efficientnet_cc_b0_4e,755.85,506.911,384,224,13.31 -ecaresnetlight,754.13,678.075,512,224,30.16 -efficientnet_cc_b0_8e,750.91,510.273,384,224,24.01 -mixnet_m,749.54,510.912,384,224,5.01 -efficientnet_b2_pruned,748.23,340.751,256,260,8.31 -resnet50t,745.06,514.605,384,224,25.57 -resmlp_24_distilled_224,744.01,342.726,256,224,30.02 -gluon_resnet50_v1d,743.98,515.37,384,224,25.58 -resnet50d,743.76,515.521,384,224,25.58 -resmlp_24_224,743.43,342.965,256,224,30.02 -legacy_seresnet50,739.53,518.192,384,224,28.09 -resnet32ts,736.71,346.942,256,256,17.96 -ese_vovnet39b,733.2,523.109,384,224,24.57 -tf_efficientnet_cc_b0_4e,732.92,522.856,384,224,13.31 -tf_efficientnet_cc_b0_8e,731.1,524.143,384,224,24.01 -dpn68b,728.18,526.241,384,224,12.61 -resnet33ts,727.42,351.376,256,256,19.68 -selecsls84,719.68,710.264,512,224,50.95 -nf_seresnet50,718.4,533.452,384,224,28.09 -rexnetr_200,715.44,267.313,192,224,16.52 -visformer_small,713.57,537.5,384,224,40.22 -res2net50_48w_2s,712.35,538.286,384,224,25.29 -tf_mixnet_m,711.23,538.464,384,224,5.01 -dpn68,711.07,539.016,384,224,12.61 -seresnet50,710.55,539.38,384,224,28.09 -lambda_resnet26t,708.6,541.35,384,256,10.96 -bat_resnext26ts,706.1,361.453,256,256,10.73 -tf_efficientnet_b1,705.85,361.254,256,240,7.79 -tf_efficientnet_b1_ns,705.53,361.468,256,240,7.79 -tf_efficientnet_b1_ap,705.49,361.504,256,240,7.79 -seresnet33ts,700.84,364.51,256,256,19.78 -eca_resnet33ts,700.22,364.953,256,256,19.68 -resnetblur50,694.99,551.777,384,224,25.56 -cspresnet50d,694.84,551.823,384,256,21.64 -rexnet_200,693.57,275.752,192,224,16.37 -cspresnet50w,686.88,558.19,384,256,28.12 -eca_vovnet39b,683.56,748.398,512,224,22.6 -densenet121,682.9,373.209,256,224,7.98 -dla60,682.79,561.488,384,224,22.04 -efficientnet_b1,682.7,373.555,256,256,7.79 -tv_densenet121,681.14,374.178,256,224,7.98 -gcresnet33ts,680.99,374.966,256,256,19.88 -efficientnet_lite2,680.43,375.329,256,260,6.09 -resnest26d,672.85,570.012,384,224,17.07 -resnetaa50d,669.52,572.758,384,224,25.58 -vgg11_bn,669.19,382.326,256,224,132.87 -gluon_resnet50_v1s,664.71,576.903,384,224,25.68 -nf_ecaresnet50,663.54,577.843,384,224,25.56 -hrnet_w18_small_v2,663.05,769.959,512,224,15.6 -tf_efficientnet_lite2,656.12,389.28,256,260,6.09 -vit_small_r26_s32_224,654.12,390.216,256,224,36.43 -lambda_resnet26rpt_256,650.73,196.144,128,256,10.99 -vit_base_resnet26d_224,650.56,589.099,384,224,101.4 -seresnet50t,645.62,395.439,256,224,28.1 -gluon_resnext50_32x4d,643.1,596.344,384,224,25.03 -ssl_resnext50_32x4d,642.69,596.753,384,224,25.03 -resnext50_32x4d,642.56,596.871,384,224,25.03 -tv_resnext50_32x4d,642.26,597.116,384,224,25.03 -swsl_resnext50_32x4d,642.22,597.166,384,224,25.03 -haloregnetz_b,639.45,398.971,256,224,11.68 -resnetrs50,639.32,599.548,384,224,35.69 -densenet121d,637.87,399.654,256,224,8.0 -regnetx_032,635.48,603.11,384,224,15.3 -resnetblur50d,634.6,402.62,256,224,25.58 -res2net50_26w_4s,625.68,407.946,256,224,25.7 -skresnet50,620.44,411.364,256,224,25.8 -ese_vovnet57b,618.38,620.149,384,224,38.61 -densenetblur121d,611.64,416.815,256,224,8.0 -ecaresnet50d,601.62,424.614,256,224,25.58 -adv_inception_v3,592.83,646.406,384,299,23.83 -resnext50d_32x4d,590.58,432.684,256,224,25.05 -gluon_inception_v3,589.45,650.157,384,299,23.83 -inception_v3,588.55,651.172,384,299,23.83 -tf_inception_v3,588.36,651.336,384,299,23.83 -seresnetaa50d,587.38,434.758,256,224,28.11 -sehalonet33ts,585.23,436.688,256,256,13.69 -coat_lite_tiny,580.33,660.876,384,224,5.72 -gmixer_24_224,577.9,441.611,256,224,24.72 -gcresnet50t,577.25,442.093,256,256,25.9 -efficientnet_b3_pruned,576.96,442.1,256,300,9.86 -mixnet_l,576.91,442.34,256,224,7.33 -resnetv2_50x1_bit_distilled,575.09,333.113,192,224,25.55 -skresnet50d,572.85,445.576,256,224,25.82 -vovnet57a,569.57,898.133,512,224,36.64 -res2next50,568.73,448.924,256,224,24.67 -seresnext50_32x4d,567.85,449.777,256,224,27.56 -gluon_seresnext50_32x4d,567.27,450.224,256,224,27.56 -cspresnext50_iabn,565.5,676.906,384,256,20.57 -legacy_seresnext50_32x4d,565.44,451.632,256,224,27.56 -resnest50d_1s4x24d,561.18,454.967,256,224,25.68 -res2net50_14w_8s,560.86,454.355,256,224,25.06 -repvgg_b1g4,560.47,912.475,512,224,39.97 -densenet169,558.29,456.216,256,224,14.15 -convnext_tiny,558.25,457.708,256,224,28.59 -convnext_tiny_hnf,555.94,459.59,256,224,28.59 -coat_lite_mini,554.95,691.16,384,224,11.01 -regnety_040,554.71,690.835,384,224,20.65 -dla60_res2net,550.65,463.555,256,224,20.85 -darknet53,549.0,465.546,256,256,41.61 -vgg13,548.68,699.681,384,224,133.05 -tf_mixnet_l,547.03,466.516,256,224,7.33 -dla60x,544.8,469.001,256,224,17.35 -efficientnet_em,542.04,707.524,384,240,6.9 -regnetx_040,541.76,707.76,384,224,22.12 -nf_resnet101,541.63,707.493,384,224,44.55 -tf_efficientnet_em,539.79,473.368,256,240,6.9 -nf_regnet_b3,535.57,476.345,256,320,18.59 -resnetv2_101,535.41,476.74,256,224,44.54 -resnetv2_50d_gn,535.21,357.946,192,224,25.57 -tf_efficientnet_b2_ns,534.14,358.079,192,260,9.11 -tf_efficientnet_b2,533.77,358.295,192,260,9.11 -tf_efficientnet_b2_ap,533.7,358.382,192,260,9.11 -gcresnext50ts,533.26,358.674,192,256,15.67 -tf_efficientnetv2_b3,532.84,358.667,192,300,14.36 -nf_resnet50,527.83,726.718,384,288,25.56 -sebotnet33ts_256,526.55,242.351,128,256,13.7 -xcit_small_12_p16_224,524.79,486.162,256,224,26.25 -xcit_small_12_p16_224_dist,524.65,486.278,256,224,26.25 -resnet50_gn,521.4,367.482,192,224,25.56 -efficientnetv2_rw_t,520.2,367.035,192,288,13.65 -resnet101,518.79,491.983,256,224,44.55 -tv_resnet101,518.57,492.187,256,224,44.55 -gluon_resnet101_v1b,518.13,492.648,256,224,44.55 -crossvit_small_240,516.01,370.633,192,240,26.86 -twins_svt_small,514.62,496.02,256,224,24.06 -vit_base_r26_s32_224,510.65,374.824,192,224,101.38 -xcit_tiny_24_p16_224_dist,510.27,498.69,256,224,12.12 -xcit_tiny_24_p16_224,510.13,498.896,256,224,12.12 -gmlp_s16_224,504.22,379.373,192,224,19.42 -resnetv2_101d,500.13,510.457,256,224,44.56 -mixer_b16_224,499.95,511.32,256,224,59.88 -mixer_b16_224_miil,499.11,512.204,256,224,59.88 -vit_base_resnet50d_224,497.25,513.299,256,224,110.97 -dla60_res2next,494.84,516.012,256,224,17.03 -gluon_resnet101_v1c,492.43,518.398,256,224,44.57 -vit_base_patch32_384,491.61,519.97,256,384,88.3 -repvgg_b1,491.0,1041.743,512,224,57.42 -resmlp_36_224,490.1,389.77,192,224,44.69 -resmlp_36_distilled_224,490.1,389.707,192,224,44.69 -efficientnet_b2,489.47,390.855,192,288,9.11 -efficientnet_b2a,489.25,391.025,192,288,9.11 -vit_large_patch32_224,487.93,523.265,256,224,306.54 -gluon_resnet101_v1d,484.72,526.651,256,224,44.57 -gc_efficientnetv2_rw_t,482.91,395.05,192,288,13.68 -wide_resnet50_2,482.59,529.718,256,224,68.88 -mixer_l32_224,479.14,399.369,192,224,206.94 -cait_xxs24_224,478.85,532.347,256,224,11.96 -cspdarknet53,478.49,534.051,256,256,27.64 -efficientnet_cc_b1_8e,478.04,534.008,256,240,39.72 -crossvit_15_240,474.46,403.054,192,240,27.53 -resnest50d,473.17,539.784,256,224,27.48 -res2net50_26w_6s,470.73,542.208,256,224,37.05 -ecaresnet26t,470.49,543.574,256,320,16.01 -dla102,468.81,544.602,256,224,33.27 -regnetz_b16,467.13,409.622,192,288,9.72 -xcit_nano_12_p16_384_dist,466.59,547.027,256,384,3.05 -tf_efficientnet_cc_b1_8e,466.17,547.634,256,240,39.72 -cspdarknet53_iabn,464.37,824.482,384,256,27.64 -crossvit_15_dagger_240,458.06,417.527,192,240,28.21 -regnetx_080,454.82,843.271,384,224,39.57 -vgg13_bn,453.43,564.307,256,224,133.05 -halonet50ts,453.0,422.945,192,256,22.73 -lambda_resnet50ts,451.97,423.868,192,256,21.54 -legacy_seresnet101,451.72,564.699,256,224,49.33 -resnetaa101d,451.69,565.275,256,224,44.57 -gluon_resnet101_v1s,450.48,566.841,256,224,44.67 -vgg16,449.51,854.057,384,224,138.36 -densenet201,445.52,428.155,192,224,20.01 -swin_tiny_patch4_window7_224,443.41,576.481,256,224,28.29 -seresnet101,441.23,578.213,256,224,49.33 -nf_seresnet101,438.29,581.969,256,224,49.33 -resnetblur101d,436.36,585.216,256,224,44.57 -mixnet_xl,424.84,450.181,192,224,11.9 -twins_pcpvt_small,421.68,605.595,256,224,24.11 -nfnet_l0,417.1,612.673,256,288,35.07 -botnet50ts_256,413.47,308.688,128,256,22.74 -skresnext50_32x4d,412.36,619.54,256,224,27.48 -gluon_resnext101_32x4d,412.2,619.638,256,224,44.18 -swsl_resnext101_32x4d,412.03,619.892,256,224,44.18 -resnext101_32x4d,411.85,620.12,256,224,44.18 -ssl_resnext101_32x4d,411.66,620.437,256,224,44.18 -vit_tiny_patch16_384,409.64,311.71,128,384,5.79 -convit_small,402.9,475.62,192,224,27.78 -halo2botnet50ts_256,398.01,320.711,128,256,22.64 -res2net101_26w_4s,397.75,480.37,192,224,45.21 -efficientnet_lite3,397.55,320.952,128,300,8.2 -tresnet_l,396.67,1287.459,512,224,55.99 -eca_nfnet_l0,396.55,644.544,256,288,24.14 -resnet51q,393.31,487.375,192,288,35.7 -nf_ecaresnet101,390.17,654.38,256,224,44.55 -dla102x,386.87,494.82,192,224,26.31 -res2net50_26w_8s,386.73,494.414,192,224,48.4 -lamhalobotnet50ts_256,386.04,330.65,128,256,22.57 -regnetx_064,385.03,664.106,256,224,26.21 -regnety_032,384.2,665.001,256,288,19.44 -tf_efficientnet_lite3,383.37,332.84,128,300,8.2 -vgg19,381.34,1006.734,384,224,143.67 -xception,378.7,337.254,128,299,22.86 -vgg16_bn,376.28,680.016,256,224,138.37 -ecaresnet101d,375.12,680.773,256,224,44.57 -resnetv2_152,373.91,682.585,256,224,60.19 -resnest50d_4s2x40d,372.15,686.672,256,224,30.42 -regnety_064,370.51,689.324,256,224,30.58 -repvgg_b2g4,370.32,1381.565,512,224,61.76 -gluon_resnet152_v1b,366.03,522.463,192,224,60.19 -tv_resnet152,365.47,523.229,192,224,60.19 -resnet152,365.43,523.289,192,224,60.19 -convnext_small,365.2,524.035,192,224,50.22 -ese_vovnet99b,363.8,702.311,256,224,63.2 -xcit_nano_12_p8_224,362.09,705.393,256,224,3.05 -xcit_nano_12_p8_224_dist,361.89,705.792,256,224,3.05 -gluon_seresnext101_32x4d,361.32,529.345,192,224,48.96 -seresnext101_32x4d,361.3,529.348,192,224,48.96 -legacy_seresnext101_32x4d,359.71,531.693,192,224,48.96 -nfnet_f0,359.11,711.802,256,256,71.49 -vit_base_patch16_224_miil,357.29,357.529,128,224,86.54 -nest_tiny,356.86,357.893,128,224,17.06 -nfnet_f0s,355.27,719.527,256,256,71.49 -resnet61q,355.26,359.368,128,288,36.85 -resnetv2_152d,355.12,538.597,192,224,60.2 -jx_nest_tiny,353.84,360.954,128,224,17.06 -vit_small_resnet50d_s16_224,353.26,542.366,192,224,57.53 -hrnet_w18,352.9,721.041,256,224,21.3 -deit_base_patch16_224,352.4,362.443,128,224,86.57 -gluon_resnet152_v1c,352.05,543.263,192,224,60.21 -vit_base_patch16_224_sam,351.83,363.047,128,224,86.57 -vit_base_patch16_224,351.68,363.189,128,224,86.57 -ese_vovnet99b_iabn,349.3,1096.435,384,224,63.2 -gluon_resnet152_v1d,348.27,549.187,192,224,60.21 -deit_base_distilled_patch16_224,347.05,368.041,128,224,87.34 -crossvit_18_240,345.05,369.11,128,240,43.27 -xcit_tiny_12_p16_384_dist,335.91,569.966,192,384,6.72 -fbnetv3_g,335.24,379.926,128,288,16.62 -regnety_080,335.22,762.533,256,224,39.18 -crossvit_18_dagger_240,333.95,381.492,128,240,44.27 -repvgg_b2,331.54,1543.333,512,224,89.02 -gluon_resnet152_v1s,330.47,578.863,192,224,60.32 -densenet161,327.93,388.08,128,224,28.68 -dla169,324.94,588.567,192,224,53.39 -beit_base_patch16_224,323.79,394.303,128,224,86.53 -coat_lite_small,323.43,592.328,192,224,19.84 -vgg19_bn,322.88,792.477,256,224,143.68 -dm_nfnet_f0,322.48,792.711,256,256,71.49 -repvgg_b3g4,313.61,1223.425,384,224,83.83 -tf_efficientnet_b3,313.56,406.655,128,300,12.23 -tf_efficientnet_b3_ns,313.33,406.959,128,300,12.23 -tf_efficientnet_b3_ap,313.29,407.029,128,300,12.23 -legacy_seresnet152,311.06,614.195,192,224,66.82 -ese_vovnet39b_evos,310.12,411.897,128,224,24.58 -dpn92,308.99,827.182,256,224,37.67 -efficientnet_b3,306.79,415.635,128,320,12.23 -efficientnet_b3a,306.46,416.067,128,320,12.23 -cait_xxs36_224,306.42,414.392,128,224,17.3 -inception_v4,305.84,625.702,192,299,42.68 -twins_pcpvt_base,304.9,627.165,192,224,43.83 -regnetx_120,304.64,839.453,256,224,46.11 -ecaresnet50t,303.47,420.896,128,320,25.57 -hrnet_w32,302.01,631.305,192,224,41.23 -seresnet152,300.58,422.864,128,224,66.82 -hrnet_w30,299.22,851.13,256,224,37.71 -convmixer_1024_20_ks9_p14,299.07,855.183,256,224,24.38 -regnetz_c16,296.99,429.626,128,320,13.46 -twins_svt_base,296.14,430.333,128,224,56.07 -tresnet_xl,289.45,1323.227,384,224,78.44 -swin_small_patch4_window7_224,288.11,442.639,128,224,49.61 -xception41,287.58,443.922,128,299,26.97 -regnety_120,286.74,668.36,192,224,51.82 -pit_b_224,286.53,334.205,96,224,73.76 -pit_b_distilled_224,285.98,334.794,96,224,74.79 -nf_regnet_b4,282.38,451.32,128,384,30.21 -wide_resnet101_2,281.79,679.914,192,224,126.89 -mixnet_xxl,275.31,463.133,128,224,23.96 -resnetv2_50d_evob,273.52,700.95,192,224,25.59 -xcit_small_24_p16_224_dist,271.4,468.703,128,224,47.67 -xcit_small_24_p16_224,271.18,469.033,128,224,47.67 -repvgg_b3,269.71,1422.719,384,224,123.09 -convnext_base,268.96,474.28,128,224,88.59 -convnext_base_in22ft1k,268.69,474.728,128,224,88.59 -resnetv2_50d_evos,264.08,483.67,128,224,25.59 -resnext101_64x4d,263.45,484.429,128,224,83.46 -gluon_resnext101_64x4d,263.28,484.77,128,224,83.46 -cait_s24_224,262.8,484.707,128,224,46.92 -dla102x2,261.95,487.178,128,224,41.28 -resnet200,261.21,487.362,128,224,64.67 -xcit_tiny_12_p8_224_dist,256.95,496.557,128,224,6.71 -xcit_tiny_12_p8_224,256.64,497.116,128,224,6.71 -regnetx_160,256.42,747.752,192,224,54.28 -inception_resnet_v2,251.21,761.158,192,299,55.84 -ens_adv_inception_resnet_v2,251.14,761.388,192,299,55.84 -resnetrs101,248.83,512.362,128,288,63.62 -efficientnet_el,248.41,514.229,128,300,10.59 -efficientnet_el_pruned,248.32,514.423,128,300,10.59 -swsl_resnext101_32x8d,247.35,516.019,128,224,88.79 -ssl_resnext101_32x8d,247.27,516.22,128,224,88.79 -ig_resnext101_32x8d,247.19,516.409,128,224,88.79 -resnext101_32x8d,247.05,516.7,128,224,88.79 -dpn98,245.05,520.932,128,224,61.57 -tf_efficientnet_el,244.21,523.119,128,300,10.59 -efficientnetv2_s,241.82,394.917,96,384,21.46 -tf_efficientnetv2_s_in21ft1k,240.69,396.775,96,384,21.46 -tf_efficientnetv2_s,239.59,398.639,96,384,21.46 -gluon_seresnext101_64x4d,239.24,533.021,128,224,88.23 -gmlp_b16_224,238.08,401.808,96,224,73.08 -resnet101d,236.98,538.626,128,320,44.57 -nest_small,234.62,407.715,96,224,38.35 -resnest101e,234.0,544.633,128,256,48.28 -jx_nest_small,233.02,410.534,96,224,38.35 -crossvit_base_240,230.08,415.793,96,240,105.03 -efficientnetv2_rw_s,228.99,277.434,64,384,23.94 -twins_svt_large,227.78,560.084,128,224,99.27 -coat_tiny,226.98,562.116,128,224,5.5 -seresnext101_32x8d,225.04,566.768,128,224,93.57 -vit_large_r50_s32_224,220.85,432.537,96,224,328.99 -swin_base_patch4_window7_224,220.19,579.694,128,224,87.77 -gluon_xception65,220.18,434.23,96,299,39.92 -xception65,219.22,436.124,96,299,39.92 -hrnet_w40,218.29,875.173,192,224,57.56 -twins_pcpvt_large,217.89,583.814,128,224,60.99 -vit_small_r26_s32_384,215.21,296.22,64,384,36.47 -convit_base,210.68,454.737,96,224,86.54 -vit_small_patch16_384,209.29,305.058,64,384,22.2 -hrnet_w44,203.55,938.867,192,224,67.06 -hrnet_w48,203.33,625.151,128,224,77.47 -tresnet_m_448,203.05,943.084,192,448,31.39 -efficientnet_lite4,198.26,321.517,64,380,13.01 -xcit_medium_24_p16_224,197.63,482.811,96,224,84.4 -xcit_medium_24_p16_224_dist,197.58,482.902,96,224,84.4 -vit_base_r50_s16_224,195.39,326.034,64,224,98.66 -densenet264,194.98,488.653,96,224,72.69 -regnetz_d8,194.31,327.837,64,320,23.37 -tf_efficientnet_lite4,192.8,330.742,64,380,13.01 -coat_mini,192.49,663.128,128,224,10.34 -eca_nfnet_l1,186.17,685.824,128,320,41.41 -regnetz_d32,182.61,348.904,64,320,27.58 -dpn131,182.53,699.301,128,224,79.25 -xcit_small_12_p16_384_dist,180.8,529.313,96,384,26.25 -nest_base,176.01,362.129,64,224,67.72 -xcit_tiny_24_p16_384_dist,175.08,545.374,96,384,12.12 -jx_nest_base,174.7,364.806,64,224,67.72 -dpn107,171.15,746.299,128,224,86.92 -resnet152d,170.12,562.135,96,320,60.21 -hrnet_w64,167.69,758.827,128,224,128.06 -efficientnet_b4,167.63,379.88,64,384,19.34 -xception71,165.9,383.797,64,299,42.34 -densenet264d_iabn,163.71,1168.658,192,224,72.74 -regnety_320,163.11,783.43,128,224,145.05 -halonet_h1,161.83,394.259,64,256,8.1 -convnext_large,159.74,599.371,96,224,197.77 -convnext_large_in22ft1k,159.74,599.406,96,224,197.77 -tnt_s_patch16_224,158.13,807.71,128,224,23.76 -tf_efficientnet_b4,157.41,404.653,64,380,19.34 -tf_efficientnet_b4_ap,157.35,404.822,64,380,19.34 -tf_efficientnet_b4_ns,157.32,404.855,64,380,19.34 -mixer_l16_224,155.84,614.71,96,224,208.2 -seresnet200d,155.16,614.74,96,256,71.86 -ecaresnet200d,149.12,640.536,96,256,64.69 -vit_large_patch32_384,146.32,435.992,64,384,306.63 -regnetx_320,143.56,890.603,128,224,107.81 -seresnet152d,141.0,450.755,64,320,66.84 -resnetrs152,139.45,455.893,64,320,86.62 -resnetv2_50x1_bitm,138.96,344.659,48,448,25.55 -gluon_senet154,138.12,691.987,96,224,115.09 -senet154,138.03,692.329,96,224,115.09 -xcit_small_12_p8_224_dist,137.35,464.322,64,224,26.21 -xcit_small_12_p8_224,137.29,464.503,64,224,26.21 -legacy_senet154,136.93,698.045,96,224,115.09 -regnety_160,133.17,719.682,96,288,83.59 -xcit_tiny_24_p8_224,132.53,721.469,96,224,12.11 -xcit_tiny_24_p8_224_dist,132.41,722.018,96,224,12.11 -swin_large_patch4_window7_224,132.32,482.098,64,224,196.53 -tnt_b_patch16_224,126.43,757.574,96,224,65.41 -resnet200d,123.09,517.162,64,320,64.69 -nfnet_f1,122.2,783.645,96,320,132.63 -xcit_nano_12_p8_384_dist,122.19,522.144,64,384,3.05 -nfnet_f1s,121.0,791.465,96,320,132.63 -xcit_large_24_p16_224_dist,119.24,533.65,64,224,189.1 -xcit_large_24_p16_224,119.19,534.033,64,224,189.1 -efficientnetv2_m,117.91,404.134,48,416,54.14 -seresnet269d,115.13,550.403,64,256,113.67 -nf_regnet_b5,109.6,581.496,64,456,49.74 -dm_nfnet_f1,109.28,583.486,64,320,132.63 -vit_large_patch16_224,106.61,448.786,48,224,304.33 -convnext_xlarge_in22ft1k,104.28,612.171,64,224,350.2 -crossvit_15_dagger_408,103.01,308.973,32,408,28.5 -efficientnetv2_rw_m,101.82,311.114,32,416,53.24 -regnetz_e8,100.87,473.939,48,320,57.7 -tresnet_l_448,99.64,1281.316,128,448,55.99 -beit_large_patch16_224,98.41,485.874,48,224,304.43 -resnetrs200,97.6,487.799,48,320,93.21 -ig_resnext101_32x16d,96.96,988.697,96,224,194.03 -swsl_resnext101_32x16d,96.88,989.444,96,224,194.03 -ssl_resnext101_32x16d,96.83,989.971,96,224,194.03 -xcit_small_24_p16_384_dist,92.8,514.221,48,384,47.67 -eca_nfnet_l2,92.75,687.481,64,384,56.72 -convnext_base_384_in22ft1k,92.09,519.541,48,384,88.59 -deit_base_patch16_384,90.25,353.802,32,384,86.86 -vit_base_patch16_384,90.2,353.987,32,384,86.86 -deit_base_distilled_patch16_384,88.49,360.855,32,384,87.63 -tf_efficientnetv2_m,88.2,359.811,32,480,54.14 -tf_efficientnetv2_m_in21ft1k,88.09,360.345,32,480,54.14 -xcit_tiny_12_p8_384_dist,87.2,548.793,48,384,6.71 -cait_xxs24_384,86.38,368.153,32,384,12.03 -resnetv2_101x1_bitm,85.15,374.386,32,448,44.54 -resnetv2_152x2_bit_teacher,85.01,374.341,32,224,236.34 -convmixer_768_32,84.46,1135.466,96,224,21.11 -resnest200e,77.86,611.828,48,320,70.2 -crossvit_18_dagger_408,77.59,307.496,24,408,44.61 -beit_base_patch16_384,76.84,311.346,24,384,86.74 -tresnet_xl_448,75.89,1261.775,96,448,78.44 -efficientnet_b5,75.33,422.385,32,456,30.39 -vit_large_r50_s32_384,73.95,430.573,32,384,329.09 -tf_efficientnet_b5_ap,73.87,430.874,32,456,30.39 -tf_efficientnet_b5_ns,73.84,431.06,32,456,30.39 -tf_efficientnet_b5,73.76,431.443,32,456,30.39 -regnetz_d8_evob,69.9,684.907,48,320,23.41 -nfnet_f2,69.7,685.799,48,352,193.78 -xcit_small_24_p8_224,69.53,457.315,32,224,47.63 -xcit_small_24_p8_224_dist,69.49,457.517,32,224,47.63 -nfnet_f2s,69.09,691.894,48,352,193.78 -xcit_medium_24_p16_384_dist,67.17,473.231,32,384,84.4 -resmlp_big_24_distilled_224,65.96,483.773,32,224,129.14 -resmlp_big_24_224,65.95,483.848,32,224,129.14 -resmlp_big_24_224_in22ft1k,65.95,483.866,32,224,129.14 -regnetz_d8_evos,64.24,496.339,32,320,23.46 -dm_nfnet_f2,62.49,765.031,48,352,193.78 -ecaresnet269d,60.75,522.332,32,352,102.09 -swin_base_patch4_window12_384,60.1,397.741,24,384,87.9 -cait_xs24_384,59.89,398.428,24,384,26.67 -pnasnet5large,59.35,535.626,32,331,86.06 -resnetrs270,58.4,542.338,32,352,129.86 -vit_base_patch8_224,58.07,274.782,16,224,86.58 -nasnetalarge,57.07,556.194,32,331,88.75 -cait_xxs36_384,56.42,422.115,24,384,17.37 -convnext_large_384_in22ft1k,54.47,585.847,32,384,197.77 -vit_base_r50_s16_384,54.27,293.3,16,384,98.95 -vit_base_resnet50_384,54.19,293.736,16,384,98.95 -xcit_medium_24_p8_224,51.72,615.776,32,224,84.32 -xcit_medium_24_p8_224_dist,51.69,616.066,32,224,84.32 -ig_resnext101_32x32d,51.67,617.889,32,224,468.53 -eca_nfnet_l3,49.71,640.359,32,448,72.04 -convmixer_1536_20,48.09,997.399,48,224,51.63 -xcit_small_12_p8_384_dist,46.72,512.057,24,384,26.21 -efficientnetv2_l,46.55,339.739,16,480,118.52 -tf_efficientnetv2_l_in21ft1k,46.43,340.391,16,480,118.52 -tf_efficientnetv2_l,46.41,340.685,16,480,118.52 -xcit_tiny_24_p8_384_dist,44.75,712.159,32,384,12.11 -cait_s24_384,44.7,355.627,16,384,47.06 -efficientnet_b6,41.67,381.28,16,528,43.04 -tf_efficientnet_b6_ap,41.13,386.3,16,528,43.04 -tf_efficientnet_b6,41.11,386.574,16,528,43.04 -tf_efficientnet_b6_ns,40.99,387.676,16,528,43.04 -xcit_large_24_p16_384_dist,40.96,582.937,24,384,189.1 -vit_huge_patch14_224,37.91,420.175,16,224,632.05 -resnetrs350,36.74,646.103,24,384,163.96 -swin_large_patch4_window12_384,36.6,435.55,16,384,196.74 -nfnet_f3,34.36,694.502,24,416,254.92 -nfnet_f3s,34.26,696.883,24,416,254.92 -convnext_xlarge_384_in22ft1k,34.01,468.853,16,384,350.2 -resnest269e,32.96,721.9,24,416,110.93 -dm_nfnet_f3,31.6,755.444,24,416,254.92 -resnetv2_50x3_bitm,31.14,513.017,16,448,217.32 -xcit_large_24_p8_224_dist,30.37,523.887,16,224,188.93 -xcit_large_24_p8_224,30.32,524.75,16,224,188.93 -cait_s36_384,29.46,404.043,12,384,68.37 -resnetv2_152x2_bit_teacher_384,29.25,408.083,12,384,236.34 -tf_efficientnetv2_xl_in21ft1k,28.52,415.17,12,512,208.12 -efficientnetv2_xl,28.5,415.628,12,512,208.12 -ig_resnext101_32x48d,27.26,585.456,16,224,828.41 -vit_large_patch16_384,26.62,299.076,8,384,304.72 -efficientnet_b7,25.52,310.186,8,600,66.35 -tf_efficientnet_b7,25.25,313.569,8,600,66.35 -tf_efficientnet_b7_ap,25.18,314.571,8,600,66.35 -tf_efficientnet_b7_ns,25.12,315.222,8,600,66.35 -resnetrs420,24.94,632.993,16,416,191.89 -xcit_small_24_p8_384_dist,23.58,505.912,12,384,47.63 -beit_large_patch16_384,22.66,351.145,8,384,305.0 -vit_giant_patch14_224,21.59,368.118,8,224,1012.61 -resnetv2_152x2_bitm,21.27,373.944,8,448,236.34 -nfnet_f4,18.45,645.682,12,512,316.07 -nfnet_f4s,18.35,649.188,12,512,316.07 -resnetv2_101x3_bitm,17.19,464.077,8,448,387.93 -xcit_medium_24_p8_384_dist,17.03,466.878,8,384,84.32 -dm_nfnet_f4,16.71,713.246,12,512,316.07 -efficientnet_b8,12.85,463.389,6,672,87.41 -tf_efficientnet_b8_ap,12.75,466.866,6,672,87.41 -tf_efficientnet_b8,12.73,467.671,6,672,87.41 -nfnet_f5,12.01,660.317,8,544,377.21 -nfnet_f5s,11.94,664.267,8,544,377.21 -cait_m36_384,11.32,526.589,6,384,271.22 -dm_nfnet_f5,10.99,722.011,8,544,377.21 -xcit_large_24_p8_384_dist,10.37,575.649,6,384,188.93 -nfnet_f6,9.06,655.713,6,576,438.36 -nfnet_f6s,9.04,657.589,6,576,438.36 -tf_efficientnet_l2_ns_475,8.8,449.624,4,475,480.31 -beit_large_patch16_512,8.36,356.829,3,512,305.67 -dm_nfnet_f6,8.32,713.582,6,576,438.36 -nfnet_f7,6.44,613.323,4,608,499.5 -nfnet_f7s,6.38,619.793,4,608,499.5 -cait_m48_448,4.6,430.517,2,448,356.46 -resnetv2_152x4_bitm,4.42,450.22,2,480,936.53 -tf_efficientnet_l2_ns,2.55,387.178,1,800,480.31 -efficientnet_l2,2.52,391.57,1,800,480.31 +tinynet_e,8879.06,56.99,512,106,2.04 +mobilenetv3_small_050,6486.16,78.215,512,224,1.59 +tf_mobilenetv3_small_minimal_100,6286.95,80.898,512,224,2.04 +lcnet_035,5388.39,94.526,512,224,1.64 +levit_128s,5340.79,94.942,512,224,7.78 +mobilenetv3_small_075,5188.12,97.983,512,224,2.04 +lcnet_050,4931.51,103.34,512,224,1.88 +tf_mobilenetv3_small_075,4918.54,103.391,512,224,2.04 +mobilenetv3_small_100,4776.47,106.481,512,224,2.54 +tf_mobilenetv3_small_100,4548.9,111.828,512,224,2.54 +tinynet_d,4535.94,112.125,512,152,2.34 +mixer_s32_224,4002.68,127.361,512,224,19.1 +levit_128,3906.35,129.937,512,224,9.21 +vit_small_patch32_224,3720.28,136.814,512,224,22.88 +lcnet_075,3708.14,137.591,512,224,2.36 +vit_tiny_r_s16_p8_224,3450.55,147.535,512,224,6.34 +regnetx_002,3409.48,149.489,512,224,2.68 +levit_192,3369.4,150.83,512,224,10.95 +mnasnet_small,3194.94,159.346,512,224,2.03 +regnety_002,3152.93,161.41,512,224,3.16 +lcnet_100,3112.12,164.023,512,224,2.95 +mobilenetv2_035,3034.35,167.951,512,224,1.68 +gernet_s,2945.06,173.156,512,224,8.17 +gluon_resnet18_v1b,2722.13,187.746,512,224,11.69 +resnet18,2720.28,187.878,512,224,11.69 +swsl_resnet18,2718.44,187.99,512,224,11.69 +ssl_resnet18,2711.89,188.46,512,224,11.69 +mobilenetv2_050,2618.63,194.751,512,224,1.97 +levit_256,2590.96,196.476,512,224,18.89 +semnasnet_050,2528.95,201.569,512,224,2.08 +regnetx_004,2522.75,201.894,512,224,5.16 +mnasnet_050,2522.58,202.188,512,224,2.22 +seresnet18,2507.84,203.663,512,224,11.78 +ese_vovnet19b_slim_dw,2471.49,206.677,512,224,1.9 +legacy_seresnet18,2441.93,209.163,512,224,11.78 +tinynet_c,2430.81,209.624,512,184,2.46 +tf_mobilenetv3_large_minimal_100,2297.77,222.108,512,224,3.92 +lcnet_150,2274.7,224.596,512,224,4.5 +levit_256d,2246.11,226.444,512,224,26.21 +ghostnet_050,2164.08,235.253,512,224,2.59 +mobilenetv3_large_075,2163.25,235.816,512,224,3.99 +resnet18d,2077.18,246.121,512,224,11.71 +tf_mobilenetv3_large_075,2064.86,247.051,512,224,3.99 +regnetx_006,2039.62,250.217,512,224,6.2 +ese_vovnet19b_slim,2002.06,255.364,512,224,3.17 +mobilenetv3_rw,1974.38,258.462,512,224,5.48 +mobilenetv3_large_100_miil,1968.34,259.245,512,224,5.48 +mobilenetv3_large_100,1965.11,259.678,512,224,5.48 +mnasnet_075,1898.08,268.968,512,224,3.17 +mobilenetv2_075,1880.91,271.408,512,224,2.64 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+tv_resnet34,1628.63,313.804,512,224,21.8 +resnet34,1618.43,315.788,512,224,21.8 +mixer_b32_224,1614.41,316.375,512,224,60.29 +hardcorenas_c,1606.09,317.82,512,224,5.52 +spnasnet_100,1581.9,322.7,512,224,4.42 +hardcorenas_d,1573.64,324.168,512,224,7.5 +pit_ti_distilled_224,1567.79,325.678,512,224,5.1 +pit_ti_224,1567.05,325.843,512,224,4.85 +vit_base_patch32_224,1566.16,326.106,512,224,88.22 +vit_base_patch32_224_sam,1565.94,326.137,512,224,88.22 +ghostnet_100,1561.28,326.61,512,224,5.18 +regnety_008,1549.78,329.38,512,224,6.26 +resmlp_12_distilled_224,1540.69,331.527,512,224,15.35 +resmlp_12_224,1540.68,331.535,512,224,15.35 +seresnet34,1491.24,342.456,512,224,21.96 +nf_regnet_b0,1463.76,348.603,512,256,8.76 +gernet_m,1452.99,351.696,512,224,21.14 +legacy_seresnet34,1444.09,353.657,512,224,21.96 +ese_vovnet19b_dw,1432.57,356.897,512,224,6.54 +nf_resnet26,1427.35,358.203,512,224,16.0 +tinynet_a,1409.24,362.071,512,192,6.19 +dla46_c,1404.15,363.911,512,224,1.3 +rexnetr_100,1384.43,276.261,384,224,4.88 +mobilenetv2_110d,1383.76,276.51,384,224,4.52 +efficientnet_lite0,1382.82,369.515,512,224,4.65 +rexnet_100,1378.22,277.499,384,224,4.8 +resnet34d,1368.6,373.438,512,224,21.82 +hardcorenas_f,1363.96,374.257,512,224,8.2 +xcit_nano_12_p16_224_dist,1357.57,375.351,512,224,3.05 +xcit_nano_12_p16_224,1356.26,375.722,512,224,3.05 +selecsls42,1352.83,377.829,512,224,30.35 +ghostnet_130,1348.59,378.322,512,224,7.36 +selecsls42b,1347.97,379.197,512,224,32.46 +mixer_s16_224,1328.86,384.74,512,224,18.53 +tf_efficientnet_lite0,1326.3,385.288,512,224,4.65 +regnetz_005,1322.96,385.624,512,224,7.12 +resnet26,1320.55,387.258,512,224,16.0 +hardcorenas_e,1317.58,387.482,512,224,8.07 +hrnet_w18_small,1302.47,391.734,512,224,13.19 +pit_xs_distilled_224,1268.5,402.739,512,224,11.0 +pit_xs_224,1268.42,402.775,512,224,10.62 +fbnetc_100,1266.68,403.231,512,224,5.57 +mnasnet_140,1263.67,404.387,512,224,7.12 +mobilenetv2_140,1253.56,305.536,384,224,6.11 +vit_small_patch32_384,1234.94,413.769,512,384,22.92 +efficientnet_b0,1229.26,311.326,384,224,5.29 +poolformer_s12,1218.66,419.43,512,224,11.92 +semnasnet_140,1213.3,421.085,512,224,6.11 +nf_seresnet26,1200.27,425.903,512,224,17.4 +vit_tiny_r_s16_p8_384,1194.12,320.732,384,384,6.36 +tf_efficientnetv2_b1,1189.33,321.432,384,240,8.14 +gmixer_12_224,1181.89,432.408,512,224,12.7 +repvgg_b0,1180.49,432.688,512,224,15.82 +tf_efficientnet_b0_ap,1177.13,325.127,384,224,5.29 +tf_efficientnet_b0,1176.58,325.256,384,224,5.29 +tf_efficientnet_b0_ns,1176.09,325.406,384,224,5.29 +efficientnet_b1_pruned,1160.78,439.616,512,240,6.33 +selecsls60,1153.95,442.796,512,224,30.67 +selecsls60b,1150.77,444.044,512,224,32.77 +resnet26d,1125.05,454.584,512,224,16.01 +nf_ecaresnet26,1118.2,457.322,512,224,16.0 +mixnet_s,1099.59,464.39,512,224,4.13 +rexnetr_130,1097.48,232.14,256,224,7.61 +dla34,1070.28,477.798,512,224,15.74 +dla46x_c,1057.9,483.219,512,224,1.07 +rexnet_130,1047.2,243.344,256,224,7.56 +regnetx_016,1042.62,490.182,512,224,9.19 +tf_mixnet_s,1040.0,491.07,512,224,4.13 +mobilenetv2_120d,1039.92,245.01,256,224,5.83 +skresnet34,1030.78,495.577,512,224,22.28 +dla60x_c,1018.3,501.873,512,224,1.32 +ecaresnet50d_pruned,1010.79,505.611,512,224,19.94 +gernet_l,1008.74,506.703,512,256,31.08 +mobilevit_xxs,994.64,384.944,384,256,1.27 +xcit_tiny_12_p16_224,994.0,513.339,512,224,6.72 +xcit_tiny_12_p16_224_dist,993.15,513.793,512,224,6.72 +efficientnet_b0_g16_evos,992.08,385.991,384,224,8.11 +rexnetr_150,974.49,261.552,256,224,9.78 +convnext_nano_hnf,957.8,400.126,384,224,15.59 +crossvit_tiny_240,953.54,401.134,384,240,7.01 +crossvit_9_240,948.17,403.562,384,240,8.55 +rexnet_150,931.33,273.747,256,224,9.73 +vit_base2_patch32_256,930.69,549.32,512,256,119.46 +repvgg_a2,930.45,549.419,512,224,28.21 +legacy_seresnext26_32x4d,924.87,552.965,512,224,16.79 +regnety_016,921.92,553.59,512,224,11.2 +efficientnet_lite1,920.32,277.193,256,240,5.42 +gmlp_ti16_224,915.04,418.12,384,224,5.87 +convit_tiny,914.83,418.772,384,224,5.71 +efficientnet_es_pruned,914.62,559.049,512,224,5.44 +crossvit_9_dagger_240,914.01,418.663,384,240,8.78 +efficientnet_es,913.84,559.524,512,224,5.44 +resnest14d,902.54,566.834,512,224,10.61 +tf_efficientnet_es,895.9,570.736,512,224,5.44 +vit_small_patch16_224,886.44,432.354,384,224,22.05 +deit_small_patch16_224,886.38,432.371,384,224,22.05 +resnetv2_50,885.9,577.167,512,224,25.55 +tf_efficientnet_lite1,884.99,288.297,256,240,5.42 +resnext26ts,882.6,434.57,384,256,10.3 +resnet26t,880.32,581.109,512,256,16.01 +nf_regnet_b1,876.86,582.443,512,288,10.22 +tf_efficientnetv2_b2,873.82,291.458,256,260,10.1 +nf_regnet_b2,872.25,585.395,512,272,14.31 +deit_small_distilled_patch16_224,870.96,440.043,384,224,22.44 +eca_resnext26ts,854.22,299.135,256,256,10.3 +seresnext26ts,848.06,301.208,256,256,10.39 +gluon_resnet50_v1b,836.3,458.36,384,224,25.56 +swsl_resnet50,836.28,458.365,384,224,25.56 +tv_resnet50,835.63,458.72,384,224,25.56 +resnet50,833.11,460.106,384,224,25.56 +botnet26t_256,831.36,461.332,384,256,12.49 +ssl_resnet50,830.95,461.318,384,224,25.56 +gcresnext26ts,830.68,307.354,256,256,10.48 +seresnext26tn_32x4d,830.61,461.636,384,224,16.81 +seresnext26t_32x4d,830.27,461.827,384,224,16.81 +seresnext26d_32x4d,828.27,462.949,384,224,16.81 +pit_s_224,823.52,309.982,256,224,23.46 +vgg11,823.03,621.921,512,224,132.86 +pit_s_distilled_224,820.99,310.896,256,224,24.04 +halonet26t,808.46,474.411,384,256,12.48 +eca_botnext26ts_256,804.84,317.488,256,256,10.59 +vit_small_resnet26d_224,799.3,479.391,384,224,63.61 +resnetv2_50t,795.78,642.594,512,224,25.57 +ecaresnext26t_32x4d,794.24,482.933,384,224,15.41 +resnetv2_50d,793.28,644.617,512,224,25.57 +ecaresnext50t_32x4d,791.08,484.877,384,224,15.41 +tresnet_m,787.35,647.607,512,224,31.39 +vovnet39a,782.12,654.018,512,224,22.6 +efficientnet_b0_gn,780.55,326.912,256,224,5.29 +fbnetv3_d,780.39,326.274,256,256,10.31 +eca_halonext26ts,780.25,327.496,256,256,10.76 +fbnetv3_b,780.18,490.58,384,256,8.6 +cspresnet50,779.41,491.838,384,256,21.62 +ecaresnet101d_pruned,774.28,659.497,512,224,24.88 +efficientnet_cc_b0_8e,770.73,497.068,384,224,24.01 +gluon_resnet50_v1c,770.17,497.757,384,224,25.58 +efficientnet_cc_b0_4e,768.45,498.536,384,224,13.31 +ecaresnetlight,767.52,666.18,512,224,30.16 +cspresnext50,767.32,499.601,384,224,20.57 +mixnet_m,767.21,499.005,384,224,5.01 +efficientnet_b2_pruned,763.33,333.903,256,260,8.31 +resnet50t,754.86,507.852,384,224,25.57 +gluon_resnet50_v1d,754.57,508.055,384,224,25.58 +resnet50d,753.37,508.854,384,224,25.58 +resmlp_24_224,752.46,338.709,256,224,30.02 +resmlp_24_distilled_224,751.46,339.201,256,224,30.02 +ese_vovnet39b,748.27,512.528,384,224,24.57 +tf_efficientnet_cc_b0_8e,747.26,512.722,384,224,24.01 +tf_efficientnet_cc_b0_4e,746.74,513.086,384,224,13.31 +resnet32ts,744.48,343.29,256,256,17.96 +visformer_small,743.67,515.696,384,224,40.22 +legacy_seresnet50,743.56,515.327,384,224,28.09 +dpn68b,738.91,518.504,384,224,12.61 +selecsls84,736.93,693.544,512,224,50.95 +resnet33ts,736.41,347.04,256,256,19.68 +tf_mixnet_m,730.05,524.465,384,224,5.01 +nf_seresnet50,727.19,526.873,384,224,28.09 +rexnetr_200,725.21,263.618,192,224,16.52 +res2net50_48w_2s,723.44,529.975,384,224,25.29 +dpn68,721.43,531.156,384,224,12.61 +lambda_resnet26t,720.18,532.596,384,256,10.96 +seresnet50,719.22,532.776,384,224,28.09 +tf_efficientnet_b1_ns,717.68,355.196,256,240,7.79 +tf_efficientnet_b1,717.65,355.204,256,240,7.79 +tf_efficientnet_b1_ap,717.6,355.242,256,240,7.79 +eca_resnet33ts,713.27,358.233,256,256,19.68 +bat_resnext26ts,709.94,359.448,256,256,10.73 +seresnet33ts,708.46,360.554,256,256,19.78 +resnetblur50,706.03,543.087,384,224,25.56 +cspresnet50d,704.69,544.074,384,256,21.64 +rexnet_200,702.3,272.253,192,224,16.37 +eca_vovnet39b,698.49,732.369,512,224,22.6 +cspresnet50w,698.43,548.944,384,256,28.12 +dla60,695.38,551.258,384,224,22.04 +efficientnet_b1,694.5,367.105,256,256,7.79 +efficientnet_lite2,691.09,369.477,256,260,6.09 +tv_densenet121,688.36,370.145,256,224,7.98 +vgg11_bn,688.31,371.701,256,224,132.87 +gcresnet33ts,687.54,371.346,256,256,19.88 +densenet121,686.73,371.056,256,224,7.98 +resnest26d,682.74,561.689,384,224,17.07 +resnetaa50d,680.45,563.474,384,224,25.58 +gluon_resnet50_v1s,673.44,569.389,384,224,25.68 +hrnet_w18_small_v2,669.83,761.985,512,224,15.6 +nf_ecaresnet50,669.55,572.548,384,224,25.56 +tf_efficientnet_lite2,667.12,382.773,256,260,6.09 +vit_base_resnet26d_224,663.97,577.082,384,224,101.4 +vit_small_r26_s32_224,661.78,385.595,256,224,36.43 +lambda_resnet26rpt_256,660.67,193.152,128,256,10.99 +efficientnet_b0_g8_gn,657.99,387.987,256,224,6.56 +seresnet50t,654.75,389.823,256,224,28.1 +resnext50_32x4d,651.94,588.217,384,224,25.03 +swsl_resnext50_32x4d,651.54,588.552,384,224,25.03 +gluon_resnext50_32x4d,651.5,588.601,384,224,25.03 +ssl_resnext50_32x4d,651.06,588.971,384,224,25.03 +tv_resnext50_32x4d,651.04,589.025,384,224,25.03 +haloregnetz_b,649.9,392.411,256,224,11.68 +resnetrs50,647.82,591.571,384,224,35.69 +regnetx_032,644.99,594.128,384,224,15.3 +resnetblur50d,643.36,397.048,256,224,25.58 +densenet121d,640.21,398.026,256,224,8.0 +mobilevit_xs,636.32,300.601,192,256,2.32 +res2net50_26w_4s,636.08,401.175,256,224,25.7 +ese_vovnet57b,632.89,605.833,384,224,38.61 +convnext_tiny_hnf,631.3,404.531,256,224,28.59 +skresnet50,629.62,405.227,256,224,25.8 +densenetblur121d,620.91,410.489,256,224,8.0 +poolformer_s24,618.55,412.632,256,224,21.39 +ecaresnet50d,617.9,413.387,256,224,25.58 +gluon_inception_v3,602.04,636.443,384,299,23.83 +tf_inception_v3,601.78,636.737,384,299,23.83 +resnext50d_32x4d,599.81,425.968,256,224,25.05 +adv_inception_v3,598.91,639.776,384,299,23.83 +inception_v3,597.68,641.096,384,299,23.83 +seresnetaa50d,595.51,428.742,256,224,28.11 +sehalonet33ts,593.18,430.755,256,256,13.69 +coat_lite_tiny,588.45,651.687,384,224,5.72 +efficientnet_b3_pruned,588.04,433.698,256,300,9.86 +mixnet_l,587.47,434.23,256,224,7.33 +gmixer_24_224,586.46,435.043,256,224,24.72 +gcresnet50t,584.74,436.344,256,256,25.9 +vovnet57a,583.53,876.573,512,224,36.64 +skresnet50d,581.8,438.63,256,224,25.82 +resnetv2_50x1_bit_distilled,579.51,330.493,192,224,25.55 +res2next50,576.25,443.0,256,224,24.67 +seresnext50_32x4d,575.09,444.01,256,224,27.56 +cspresnext50_iabn,574.6,666.024,384,256,20.57 +legacy_seresnext50_32x4d,573.45,445.299,256,224,27.56 +res2net50_14w_8s,572.23,445.23,256,224,25.06 +gluon_seresnext50_32x4d,572.14,446.313,256,224,27.56 +repvgg_b1g4,571.09,895.496,512,224,39.97 +convnext_tiny,568.67,449.214,256,224,28.59 +resnest50d_1s4x24d,568.37,449.124,256,224,25.68 +vgg13,565.29,679.111,384,224,133.05 +densenet169,564.44,451.109,256,224,14.15 +coat_lite_mini,560.18,684.613,384,224,11.01 +tf_mixnet_l,559.29,456.201,256,224,7.33 +dla60_res2net,558.91,456.605,256,224,20.85 +darknet53,555.4,460.146,256,256,41.61 +dla60x,553.72,461.36,256,224,17.35 +efficientnet_em,553.62,692.657,384,240,6.9 +regnetx_040,551.95,694.615,384,224,22.12 +tf_efficientnet_em,550.96,463.679,256,240,6.9 +nf_resnet101,550.06,696.472,384,224,44.55 +nf_regnet_b3,545.32,467.686,256,320,18.59 +tf_efficientnet_b2_ns,542.89,352.148,192,260,9.11 +tf_efficientnet_b2_ap,542.72,352.279,192,260,9.11 +tf_efficientnet_b2,542.33,352.563,192,260,9.11 +resnetv2_101,541.77,470.948,256,224,44.54 +tf_efficientnetv2_b3,537.24,355.668,192,300,14.36 +gcresnext50ts,536.7,356.26,192,256,15.67 +nf_resnet50,535.99,715.561,384,288,25.56 +xcit_small_12_p16_224_dist,535.18,476.598,256,224,26.25 +xcit_small_12_p16_224,535.12,476.63,256,224,26.25 +sebotnet33ts_256,533.03,239.342,128,256,13.7 +efficientnetv2_rw_t,527.89,361.618,192,288,13.65 +resnet101,526.2,484.988,256,224,44.55 +twins_svt_small,526.18,484.993,256,224,24.06 +tv_resnet101,525.84,485.332,256,224,44.55 +resnet50_gn,525.26,364.696,192,224,25.56 +gluon_resnet101_v1b,524.51,486.543,256,224,44.55 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+eca_nfnet_l1,189.49,673.644,128,320,41.41 +dpn131,186.08,685.82,128,224,79.25 +xcit_small_12_p16_384_dist,185.19,516.612,96,384,26.25 +regnetz_d32,185.07,344.194,64,320,27.58 +poolformer_m48,184.64,517.502,96,224,73.47 +efficientnet_b3_gn,183.63,346.864,64,320,11.73 +nest_base,179.17,355.564,64,224,67.72 +jx_nest_base,178.25,357.393,64,224,67.72 +xcit_tiny_24_p16_384_dist,178.08,535.75,96,384,12.12 +swin_s3_base_224,176.4,360.127,64,224,71.13 +swin_v2_cr_base_224,175.64,361.983,64,224,87.88 +dpn107,174.69,731.058,128,224,86.92 +resnet152d,172.77,553.323,96,320,60.21 +efficientnet_b4,170.77,372.707,64,384,19.34 +hrnet_w64,170.07,747.892,128,224,128.06 +xception71,168.48,377.772,64,299,42.34 +regnety_320,166.84,765.843,128,224,145.05 +densenet264d_iabn,165.34,1156.78,192,224,72.74 +halonet_h1,164.36,387.985,64,256,8.1 +convnext_large_in22ft1k,162.57,588.815,96,224,197.77 +convnext_large,162.19,590.164,96,224,197.77 +tnt_s_patch16_224,160.48,795.734,128,224,23.76 +tf_efficientnet_b4_ap,160.07,397.797,64,380,19.34 +tf_efficientnet_b4,160.05,397.861,64,380,19.34 +tf_efficientnet_b4_ns,159.86,398.285,64,380,19.34 +mixer_l16_224,158.98,602.398,96,224,208.2 +seresnet200d,156.82,607.841,96,256,71.86 +efficientnet_b3_g8_gn,153.08,416.422,64,320,14.25 +vit_large_patch32_384,148.01,430.862,64,384,306.63 +regnetx_320,147.1,869.066,128,224,107.81 +ecaresnet200d,146.51,433.421,64,256,64.69 +seresnet152d,142.71,445.143,64,320,66.84 +senet154,141.47,675.227,96,224,115.09 +gluon_senet154,140.33,680.825,96,224,115.09 +resnetrs152,140.22,453.07,64,320,86.62 +resnetv2_50x1_bitm,140.19,341.567,48,448,25.55 +xcit_small_12_p8_224,140.1,455.06,64,224,26.21 +legacy_senet154,139.98,682.498,96,224,115.09 +xcit_small_12_p8_224_dist,139.68,456.467,64,224,26.21 +volo_d3_224,136.64,465.978,64,224,86.33 +regnety_160,136.33,702.93,96,288,83.59 +xcit_tiny_24_p8_224,135.22,706.664,96,224,12.11 +xcit_tiny_24_p8_224_dist,135.04,707.588,96,224,12.11 +swin_large_patch4_window7_224,134.46,474.195,64,224,196.53 +tnt_b_patch16_224,128.28,746.509,96,224,65.41 +seresnext101_32x8d,126.87,502.256,64,288,93.57 +resnet200d,125.03,508.876,64,320,64.69 +nfnet_f1,124.83,766.912,96,320,132.63 +xcit_nano_12_p8_384_dist,124.74,511.323,64,384,3.05 +resnext101_64x4d,122.53,781.921,96,288,83.46 +xcit_large_24_p16_224,121.81,522.038,64,224,189.1 +xcit_large_24_p16_224_dist,121.62,522.935,64,224,189.1 +regnetz_c16_evos,121.42,393.457,48,320,13.49 +efficientnetv2_m,119.95,397.043,48,416,54.14 +seresnet269d,115.73,547.311,64,256,113.67 +dm_nfnet_f1,111.52,571.621,64,320,132.63 +nf_regnet_b5,111.52,571.237,64,456,49.74 +swin_v2_cr_large_224,108.24,441.046,48,224,196.68 +vit_large_patch16_224,107.89,443.324,48,224,304.33 +convnext_xlarge_in22ft1k,105.95,602.3,64,224,350.2 +vit_base_patch16_18x2_224,104.22,457.937,48,224,256.73 +crossvit_15_dagger_408,103.66,306.843,32,408,28.5 +efficientnetv2_rw_m,103.03,307.229,32,416,53.24 +regnetz_e8,102.71,465.407,48,320,57.7 +tresnet_l_448,102.02,1251.242,128,448,55.99 +beit_large_patch16_224,100.02,477.913,48,224,304.43 +ssl_resnext101_32x16d,99.42,964.104,96,224,194.03 +ig_resnext101_32x16d,99.34,964.822,96,224,194.03 +swsl_resnext101_32x16d,99.31,965.114,96,224,194.03 +resnetrs200,98.78,481.487,48,320,93.21 +xcit_small_24_p16_384_dist,94.29,505.743,48,384,47.67 +convnext_small_384_in22ft1k,94.25,507.598,48,384,88.59 +eca_nfnet_l2,93.98,678.342,64,384,56.72 +convnext_tiny_384_in22ft1k,93.69,510.615,48,384,88.59 +convnext_base_384_in22ft1k,93.6,511.079,48,384,88.59 +vit_base_patch16_384,91.38,349.381,32,384,86.86 +deit_base_patch16_384,91.25,349.874,32,384,86.86 +swin_v2_cr_tiny_384,89.93,354.59,32,384,28.33 +deit_base_distilled_patch16_384,89.45,356.909,32,384,87.63 +tf_efficientnetv2_m,89.24,355.387,32,480,54.14 +tf_efficientnetv2_m_in21ft1k,89.11,356.006,32,480,54.14 +volo_d4_224,89.0,536.865,48,224,192.96 +xcit_tiny_12_p8_384_dist,88.71,539.341,48,384,6.71 +volo_d1_384,87.94,271.566,24,384,26.78 +convmixer_768_32,87.33,1098.007,96,224,21.11 +cait_xxs24_384,86.9,365.799,32,384,12.03 +resnetv2_152x2_bit_teacher,86.51,367.584,32,224,236.34 +resnetv2_101x1_bitm,85.93,370.849,32,448,44.54 +regnetz_d8_evos,81.9,388.68,32,320,23.46 +resnest200e,78.86,603.644,48,320,70.2 +crossvit_18_dagger_408,78.2,304.877,24,408,44.61 +beit_base_patch16_384,77.31,309.414,24,384,86.74 +tresnet_xl_448,77.31,1238.041,96,448,78.44 +efficientnet_b5,76.38,416.454,32,456,30.39 +vit_large_patch14_224,76.22,418.295,32,224,304.2 +tf_efficientnet_b5_ns,75.17,423.294,32,456,30.39 +tf_efficientnet_b5,75.06,423.89,32,456,30.39 +tf_efficientnet_b5_ap,74.91,424.757,32,456,30.39 +vit_large_r50_s32_384,74.62,426.461,32,384,329.09 +nfnet_f2,71.13,671.634,48,352,193.78 +xcit_small_24_p8_224,70.93,447.831,32,224,47.63 +xcit_small_24_p8_224_dist,70.82,448.457,32,224,47.63 +xcit_medium_24_p16_384_dist,68.86,461.356,32,384,84.4 +resmlp_big_24_distilled_224,67.63,471.604,32,224,129.14 +resmlp_big_24_224,66.97,476.343,32,224,129.14 +resmlp_big_24_224_in22ft1k,66.96,476.41,32,224,129.14 +dm_nfnet_f2,63.38,754.059,48,352,193.78 +ecaresnet269d,62.55,506.999,32,352,102.09 +swin_base_patch4_window12_384,61.26,389.996,24,384,87.9 +pnasnet5large,60.8,522.503,32,331,86.06 +cait_xs24_384,60.18,396.29,24,384,26.67 +resnetrs270,59.41,532.629,32,352,129.86 +vit_base_patch8_224,58.54,272.507,16,224,86.58 +nasnetalarge,58.23,544.595,32,331,88.75 +volo_d5_224,57.67,551.667,32,224,295.46 +cait_xxs36_384,57.1,416.606,24,384,17.37 +convnext_large_384_in22ft1k,55.31,576.804,32,384,197.77 +vit_base_resnet50_384,55.13,288.662,16,384,98.95 +vit_base_r50_s16_384,55.08,288.922,16,384,98.95 +swin_v2_cr_small_384,54.02,293.773,16,384,49.7 +xcit_medium_24_p8_224,52.96,600.968,32,224,84.32 +xcit_medium_24_p8_224_dist,52.91,601.478,32,224,84.32 +ig_resnext101_32x32d,52.61,606.726,32,224,468.53 +volo_d2_384,50.75,313.547,16,384,58.87 +eca_nfnet_l3,50.5,630.136,32,448,72.04 +convmixer_1536_20,49.92,960.799,48,224,51.63 +xcit_small_12_p8_384_dist,47.77,500.692,24,384,26.21 +tf_efficientnetv2_l_in21ft1k,47.35,333.533,16,480,118.52 +efficientnetv2_l,47.16,334.995,16,480,118.52 +tf_efficientnetv2_l,47.07,335.523,16,480,118.52 +xcit_tiny_24_p8_384_dist,45.79,695.564,32,384,12.11 +cait_s24_384,44.86,354.226,16,384,47.06 +swin_v2_cr_huge_224,44.05,360.723,16,224,657.83 +efficientnet_b6,42.26,375.764,16,528,43.04 +xcit_large_24_p16_384_dist,41.96,568.582,24,384,189.1 +tf_efficientnet_b6_ap,41.84,379.635,16,528,43.04 +tf_efficientnet_b6,41.78,380.157,16,528,43.04 +tf_efficientnet_b6_ns,41.7,380.74,16,528,43.04 +swin_v2_cr_base_384,41.43,383.765,16,384,87.88 +vit_huge_patch14_224,38.82,410.089,16,224,632.05 +swin_large_patch4_window12_384,37.36,426.362,16,384,196.74 +resnetrs350,37.22,637.051,24,384,163.96 +nfnet_f3,35.3,675.657,24,416,254.92 +convnext_xlarge_384_in22ft1k,34.59,460.906,16,384,350.2 +resnest269e,33.49,709.738,24,416,110.93 +dm_nfnet_f3,32.11,742.967,24,416,254.92 +resnetv2_50x3_bitm,31.49,507.203,16,448,217.32 +xcit_large_24_p8_224,31.1,511.188,16,224,188.93 +xcit_large_24_p8_224_dist,31.08,511.4,16,224,188.93 +resnetv2_152x2_bit_teacher_384,29.72,401.405,12,384,236.34 +cait_s36_384,29.53,402.581,12,384,68.37 +efficientnetv2_xl,28.84,410.429,12,512,208.12 +tf_efficientnetv2_xl_in21ft1k,28.76,411.641,12,512,208.12 +ig_resnext101_32x48d,27.57,578.926,16,224,828.41 +vit_large_patch16_384,26.83,296.63,8,384,304.72 +efficientnet_b7,25.65,308.317,8,600,66.35 +tf_efficientnet_b7_ns,25.54,309.843,8,600,66.35 +tf_efficientnet_b7,25.52,309.949,8,600,66.35 +tf_efficientnet_b7_ap,25.49,310.429,8,600,66.35 +resnetrs420,25.06,628.984,16,416,191.89 +swin_v2_cr_large_384,24.48,324.319,8,384,196.68 +xcit_small_24_p8_384_dist,24.12,494.319,12,384,47.63 +beit_large_patch16_384,22.92,347.104,8,384,305.0 +vit_giant_patch14_224,21.77,364.805,8,224,1012.61 +resnetv2_152x2_bitm,21.5,369.846,8,448,236.34 +volo_d3_448,21.39,278.066,6,448,86.63 +nfnet_f4,18.65,638.182,12,512,316.07 +resnetv2_101x3_bitm,17.49,455.806,8,448,387.93 +xcit_medium_24_p8_384_dist,17.39,456.608,8,384,84.32 +dm_nfnet_f4,16.87,705.913,12,512,316.07 +volo_d4_448,15.85,376.008,6,448,193.41 +tf_efficientnet_b8_ap,13.05,456.145,6,672,87.41 +tf_efficientnet_b8,13.04,456.234,6,672,87.41 +efficientnet_b8,13.01,457.314,6,672,87.41 +nfnet_f5,12.16,651.359,8,544,377.21 +cait_m36_384,11.39,523.115,6,384,271.22 +dm_nfnet_f5,11.14,711.506,8,544,377.21 +xcit_large_24_p8_384_dist,10.6,562.64,6,384,188.93 +volo_d5_448,10.46,379.155,4,448,295.91 +swin_v2_cr_huge_384,9.68,307.346,3,384,657.94 +nfnet_f6,9.19,645.361,6,576,438.36 +tf_efficientnet_l2_ns_475,9.01,438.204,4,475,480.31 +beit_large_patch16_512,8.44,353.416,3,512,305.67 +dm_nfnet_f6,8.42,705.117,6,576,438.36 +volo_d5_512,6.78,291.864,2,512,296.09 +nfnet_f7,6.51,605.721,4,608,499.5 +cait_m48_448,4.62,428.106,2,448,356.46 +resnetv2_152x4_bitm,4.47,445.366,2,480,936.53 +tf_efficientnet_l2_ns,2.56,385.525,1,800,480.31 +efficientnet_l2,2.55,385.937,1,800,480.31 diff --git a/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv b/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv index 82689dc1..e1c7a27b 100644 --- a/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv +++ b/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv @@ -1,699 +1,752 @@ model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count -mobilenetv3_small_050,10124.2,49.732,512,224,1.59 -lcnet_035,9556.39,53.122,512,224,1.64 -tinynet_e,9259.87,53.163,512,106,2.04 -lcnet_050,8204.13,61.959,512,224,1.88 -tf_mobilenetv3_small_minimal_100,8115.25,62.582,512,224,2.04 -tinynet_d,7842.33,64.591,512,152,2.34 -mobilenetv3_small_075,7645.76,66.298,512,224,2.04 -mobilenetv3_small_100,7391.62,68.594,512,224,2.54 -tf_mobilenetv3_small_075,7004.36,72.432,512,224,2.04 -tf_mobilenetv3_small_100,6775.26,74.902,512,224,2.54 -levit_128s,6249.41,81.115,512,224,7.78 -lcnet_075,5706.1,89.275,512,224,2.36 -lcnet_100,5288.36,96.356,512,224,2.95 -mnasnet_small,4565.41,111.287,512,224,2.03 -mnasnet_050,4479.4,113.569,512,224,2.22 -levit_128,4339.94,116.946,512,224,9.21 -mobilenetv2_035,4152.95,122.551,512,224,1.68 -mixer_s32_224,4131.98,123.414,512,224,19.1 -tinynet_c,4071.23,124.835,512,184,2.46 -gernet_s,4039.7,126.102,512,224,8.17 -semnasnet_050,3974.04,127.989,512,224,2.08 -levit_192,3756.95,135.269,512,224,10.95 -vit_small_patch32_224,3671.47,138.697,512,224,22.88 -lcnet_150,3645.88,139.972,512,224,4.5 -ssl_resnet18,3513.72,145.398,512,224,11.69 -gluon_resnet18_v1b,3512.34,145.445,512,224,11.69 -swsl_resnet18,3508.0,145.642,512,224,11.69 -mobilenetv2_050,3501.31,145.498,512,224,1.97 -resnet18,3496.86,146.104,512,224,11.69 -vit_tiny_r_s16_p8_224,3335.03,152.754,512,224,6.34 -mobilenetv3_large_075,3296.24,154.517,512,224,3.99 -ese_vovnet19b_slim_dw,3204.84,159.295,512,224,1.9 -tf_mobilenetv3_large_minimal_100,3175.97,160.546,512,224,3.92 -seresnet18,3165.67,161.261,512,224,11.78 -legacy_seresnet18,3081.19,165.707,512,224,11.78 -mnasnet_075,3078.06,165.602,512,224,3.17 -tf_mobilenetv3_large_075,3052.6,166.905,512,224,3.99 -ghostnet_050,2997.88,169.549,512,224,2.59 -mobilenetv3_rw,2978.91,171.068,512,224,5.48 -mobilenetv3_large_100_miil,2954.41,172.485,512,224,5.48 -mobilenetv3_large_100,2949.17,172.802,512,224,5.48 -levit_256,2853.53,178.318,512,224,18.89 -hardcorenas_a,2833.05,180.061,512,224,5.26 -mnasnet_100,2794.45,182.489,512,224,4.38 -mnasnet_b1,2793.42,182.553,512,224,4.38 -resnet18d,2767.22,184.677,512,224,11.71 -tf_mobilenetv3_large_100,2745.99,185.646,512,224,5.48 -tinynet_b,2724.35,186.966,512,188,3.73 -hardcorenas_b,2641.84,192.939,512,224,5.18 -semnasnet_075,2627.64,193.989,512,224,2.91 -hardcorenas_c,2601.15,195.937,512,224,5.52 -ese_vovnet19b_slim,2546.07,200.754,512,224,3.17 -mobilenetv2_075,2520.15,202.421,512,224,2.64 -spnasnet_100,2483.13,205.29,512,224,4.42 -tf_efficientnetv2_b0,2462.53,206.791,512,224,7.14 -hardcorenas_d,2435.65,209.09,512,224,7.5 -mnasnet_a1,2380.33,214.252,512,224,3.89 -semnasnet_100,2377.81,214.477,512,224,3.89 -mobilenetv2_100,2363.97,215.837,512,224,3.5 -regnetx_002,2307.34,221.263,512,224,2.68 -tinynet_a,2237.07,227.684,512,192,6.19 -fbnetc_100,2225.25,229.187,512,224,5.57 -ghostnet_100,2211.89,230.191,512,224,5.18 -regnety_002,2204.25,231.393,512,224,3.16 -efficientnet_lite0,2189.09,233.188,512,224,4.65 -hardcorenas_f,2163.36,235.624,512,224,8.2 -hardcorenas_e,2139.96,238.217,512,224,8.07 -tf_efficientnet_lite0,2037.27,250.609,512,224,4.65 -resnet34,2037.12,250.805,512,224,21.8 -tv_resnet34,2035.85,250.969,512,224,21.8 -gluon_resnet34_v1b,2035.71,250.984,512,224,21.8 -skresnet18,2026.36,252.064,512,224,11.96 -resnet26,1936.86,263.917,512,224,16.0 -resnetblur18,1923.61,265.837,512,224,11.69 -gernet_m,1870.52,273.071,512,224,21.14 -ese_vovnet19b_dw,1864.29,274.174,512,224,6.54 -nf_resnet26,1859.82,274.839,512,224,16.0 -mnasnet_140,1826.42,279.575,512,224,7.12 -hrnet_w18_small,1825.55,279.196,512,224,13.19 -seresnet34,1821.14,280.321,512,224,21.96 -legacy_seresnet34,1770.27,288.393,512,224,21.96 -efficientnet_b0,1763.31,216.796,384,224,5.29 -resnet34d,1762.59,289.926,512,224,21.82 -mobilenetv2_110d,1752.61,218.148,384,224,4.52 -levit_384,1748.52,291.817,512,224,39.13 -rexnetr_100,1739.4,219.681,384,224,4.88 -selecsls42,1711.06,298.631,512,224,30.35 -selecsls42b,1703.95,299.892,512,224,32.46 -vit_tiny_patch16_224,1668.2,306.156,512,224,5.72 -deit_tiny_patch16_224,1666.4,306.494,512,224,5.72 -tf_efficientnet_b0_ap,1660.27,230.299,384,224,5.29 -tf_efficientnet_b0_ns,1659.78,230.359,384,224,5.29 -tf_efficientnet_b0,1659.12,230.455,384,224,5.29 -deit_tiny_distilled_patch16_224,1644.53,310.585,512,224,5.91 -semnasnet_140,1620.0,315.219,512,224,6.11 -efficientnet_es_pruned,1595.68,320.161,512,224,5.44 -efficientnet_es,1595.53,320.205,512,224,5.44 -mixer_b32_224,1593.71,320.545,512,224,60.29 -tf_efficientnet_es,1592.03,320.904,512,224,5.44 -resnet26d,1580.82,323.426,512,224,16.01 -tf_efficientnetv2_b1,1573.77,242.663,384,240,8.14 -ghostnet_130,1567.24,325.459,512,224,7.36 -repvgg_b0,1556.65,327.916,512,224,15.82 -pit_ti_distilled_224,1537.82,332.146,512,224,5.1 -pit_ti_224,1535.4,332.663,512,224,4.85 -mobilenetv2_140,1525.48,250.968,384,224,6.11 -resmlp_12_224,1516.23,336.972,512,224,15.35 -resmlp_12_distilled_224,1515.94,336.996,512,224,15.35 -vit_base_patch32_224,1491.42,342.538,512,224,88.22 -vit_base_patch32_224_sam,1490.35,342.802,512,224,88.22 -selecsls60,1450.31,352.185,512,224,30.67 -selecsls60b,1447.33,352.935,512,224,32.77 -nf_seresnet26,1446.95,353.243,512,224,17.4 -xcit_nano_12_p16_224,1428.16,356.892,512,224,3.05 -xcit_nano_12_p16_224_dist,1427.07,357.115,512,224,3.05 -efficientnet_lite1,1402.56,181.634,256,240,5.42 -mixer_s16_224,1387.35,368.544,512,224,18.53 -efficientnet_b1_pruned,1356.21,376.138,512,240,6.33 -dla46_c,1347.45,379.298,512,224,1.3 -rexnetr_130,1335.58,190.622,256,224,7.61 -nf_ecaresnet26,1333.44,383.458,512,224,16.0 -tf_efficientnet_lite1,1330.92,191.449,256,240,5.42 -mobilenetv2_120d,1299.02,195.983,256,224,5.83 -resnetv2_50,1277.54,400.053,512,224,25.55 -rexnet_100,1259.4,303.853,384,224,4.8 -gernet_l,1250.61,408.582,512,256,31.08 -pit_xs_224,1243.31,411.016,512,224,10.62 -pit_xs_distilled_224,1243.18,411.013,512,224,11.0 -gmixer_12_224,1232.53,414.68,512,224,12.7 -resnet26t,1208.16,423.321,512,256,16.01 -vit_small_patch32_384,1207.26,423.36,512,384,22.92 -tv_resnet50,1193.37,321.016,384,224,25.56 -ssl_resnet50,1193.18,321.076,384,224,25.56 -gluon_resnet50_v1b,1192.95,321.138,384,224,25.56 -resnet50,1192.59,321.245,384,224,25.56 -swsl_resnet50,1191.64,321.479,384,224,25.56 -rexnetr_150,1171.61,217.431,256,224,9.78 -fbnetv3_b,1163.46,328.537,384,256,8.6 -regnetx_004,1151.84,443.491,512,224,5.16 -botnet26t_256,1146.74,334.32,384,256,12.49 -skresnet34,1146.67,445.45,512,224,22.28 -tf_efficientnetv2_b2,1137.18,223.699,256,260,10.1 -fbnetv3_d,1123.37,226.192,256,256,10.31 -resnetv2_50t,1114.22,458.774,512,224,25.57 -gluon_resnet50_v1c,1114.01,343.942,384,224,25.58 -repvgg_a2,1113.97,458.853,512,224,28.21 -resnetv2_50d,1111.46,459.91,512,224,25.57 -halonet26t,1094.74,350.238,384,256,12.48 -efficientnet_lite2,1085.96,234.846,256,260,6.09 -dla34,1074.06,476.134,512,224,15.74 -mixnet_s,1060.15,481.782,512,224,4.13 -resnet50d,1054.46,363.395,384,224,25.58 -gluon_resnet50_v1d,1053.62,363.691,384,224,25.58 -resnet50t,1052.26,364.133,384,224,25.57 -vit_tiny_r_s16_p8_384,1046.6,366.108,384,384,6.36 -xcit_tiny_12_p16_224_dist,1038.68,491.328,512,224,6.72 -xcit_tiny_12_p16_224,1038.06,491.593,512,224,6.72 -tf_efficientnet_lite2,1032.64,247.013,256,260,6.09 -legacy_seresnext26_32x4d,1027.19,497.849,512,224,16.79 -resnet32ts,1007.64,253.517,256,256,17.96 -tf_efficientnet_b1_ap,1002.39,253.996,256,240,7.79 -tf_efficientnet_b1,1001.08,254.315,256,240,7.79 -tf_efficientnet_b1_ns,1000.92,254.412,256,240,7.79 -res2net50_48w_2s,999.09,383.596,384,224,25.29 -vit_small_resnet26d_224,998.6,383.579,384,224,63.61 -resnet33ts,996.53,256.337,256,256,19.68 -seresnext26d_32x4d,978.97,391.64,384,224,16.81 -vovnet39a,977.19,523.377,512,224,22.6 -seresnext26tn_32x4d,976.94,392.442,384,224,16.81 -seresnext26t_32x4d,976.02,392.82,384,224,16.81 -legacy_seresnet50,965.33,396.753,384,224,28.09 -tf_efficientnet_em,961.83,265.228,256,240,6.9 -efficientnet_em,961.29,265.407,256,240,6.9 -tf_mixnet_s,959.89,532.224,512,224,4.13 -dla46x_c,958.36,533.526,512,224,1.07 -eca_resnet33ts,943.71,270.653,256,256,19.68 -seresnet33ts,943.39,270.622,256,256,19.78 -crossvit_tiny_240,940.57,406.823,384,240,7.01 -crossvit_9_240,937.22,408.452,384,240,8.55 -efficientnet_b1,935.15,272.379,256,256,7.79 -seresnet50,934.74,409.786,384,224,28.09 -regnety_004,931.71,548.466,512,224,4.34 -gluon_resnet50_v1s,928.8,412.664,384,224,25.68 -ecaresnetlight,928.23,550.753,512,224,30.16 -resnetaa50d,926.64,413.614,384,224,25.58 -dla60,926.01,413.77,384,224,22.04 -ecaresnext26t_32x4d,925.94,414.209,384,224,15.41 -ecaresnext50t_32x4d,924.8,414.714,384,224,15.41 -ese_vovnet39b,919.92,555.952,512,224,24.57 -convit_tiny,917.45,417.618,384,224,5.71 -crossvit_9_dagger_240,912.87,419.313,384,240,8.78 -gcresnet33ts,912.73,279.541,256,256,19.88 -eca_vovnet39b,910.35,561.796,512,224,22.6 -gmlp_ti16_224,908.97,421.011,384,224,5.87 -dla60x_c,908.47,562.709,512,224,1.32 -cspresnet50,908.32,421.991,384,256,21.62 -vgg11,905.72,565.146,512,224,132.86 -resnetblur50,901.02,425.435,384,224,25.56 -ecaresnet50d_pruned,892.5,572.812,512,224,19.94 -rexnetr_200,885.64,215.704,192,224,16.52 -lambda_resnet26rpt_256,881.41,217.279,192,256,10.99 -vit_small_patch16_224,879.33,435.939,384,224,22.05 -deit_small_patch16_224,876.6,437.293,384,224,22.05 -nf_seresnet50,866.69,441.953,384,224,28.09 -dpn68b,864.02,443.325,384,224,12.61 -cspresnext50,863.58,443.862,384,224,20.57 -cspresnet50w,858.14,446.674,384,256,28.12 -selecsls84,852.15,599.694,512,224,50.95 -hrnet_w18_small_v2,849.12,600.799,512,224,15.6 -cspresnet50d,847.29,452.406,384,256,21.64 -deit_small_distilled_patch16_224,846.66,301.609,256,224,22.44 -seresnet50t,844.69,453.54,384,224,28.1 -resnetrs50,843.24,454.312,384,224,35.69 -densenet121,835.01,304.929,256,224,7.98 -tv_densenet121,832.77,305.766,256,224,7.98 -rexnet_150,829.93,307.376,256,224,9.73 -gluon_resnext50_32x4d,824.86,464.778,384,224,25.03 -tv_resnext50_32x4d,824.06,465.237,384,224,25.03 -ssl_resnext50_32x4d,823.91,465.298,384,224,25.03 -swsl_resnext50_32x4d,823.16,465.728,384,224,25.03 -resnext50_32x4d,823.01,465.815,384,224,25.03 -dpn68,816.18,469.476,384,224,12.61 -res2net50_26w_4s,812.07,314.023,256,224,25.7 -efficientnet_b2_pruned,811.6,314.06,256,260,8.31 -resnetblur50d,810.86,314.915,256,224,25.58 -pit_s_224,809.09,315.601,256,224,23.46 -pit_s_distilled_224,808.91,315.694,256,224,24.04 -vovnet57a,808.86,473.9,384,224,36.64 -skresnet50,802.36,317.782,256,224,25.8 -densenet121d,795.36,320.183,256,224,8.0 -vit_base_resnet26d_224,792.88,483.157,384,224,101.4 -rexnet_130,792.23,322.087,256,224,7.56 -tf_efficientnet_b2_ns,791.33,241.259,192,260,9.11 -tf_efficientnet_b2_ap,790.24,241.588,192,260,9.11 -regnetx_006,788.72,648.389,512,224,6.2 -tf_efficientnet_b2,788.26,242.2,192,260,9.11 -vgg11_bn,788.01,487.085,384,224,132.87 -nf_ecaresnet50,787.45,486.772,384,224,25.56 -regnety_006,779.2,656.099,512,224,6.06 -gcresnet50t,776.26,328.367,256,256,25.9 -ese_vovnet57b,765.66,500.673,384,224,38.61 -ecaresnet50d,761.68,335.218,256,224,25.58 -resnext50d_32x4d,757.82,337.002,256,224,25.05 -adv_inception_v3,756.25,506.326,384,299,23.83 -tf_inception_v3,754.65,507.545,384,299,23.83 -gluon_inception_v3,754.57,507.572,384,299,23.83 -inception_v3,753.64,508.224,384,299,23.83 -seresnetaa50d,751.96,339.385,256,224,28.11 -res2net50_14w_8s,748.86,339.851,256,224,25.06 -resmlp_24_distilled_224,743.59,342.912,256,224,30.02 -resmlp_24_224,743.53,342.937,256,224,30.02 -resnetv2_101,742.52,343.363,256,224,44.54 -skresnet50d,738.05,345.557,256,224,25.82 -sehalonet33ts,731.23,349.345,256,256,13.69 -dla60_res2net,730.56,349.091,256,224,20.85 -densenetblur121d,729.66,349.185,256,224,8.0 -resnet101,719.46,354.412,256,224,44.55 -tv_resnet101,719.29,354.488,256,224,44.55 -gluon_resnet101_v1b,719.28,354.459,256,224,44.55 -efficientnet_b2a,707.95,269.81,192,288,9.11 -efficientnet_b2,707.16,270.111,192,288,9.11 -nf_resnet50,703.13,545.338,384,288,25.56 -nf_resnet101,702.76,544.906,384,224,44.55 -ecaresnet101d_pruned,698.97,730.858,512,224,24.88 -densenet169,691.74,367.774,256,224,14.15 -gluon_resnet101_v1c,690.21,369.47,256,224,44.57 -gluon_seresnext50_32x4d,689.84,370.073,256,224,27.56 -legacy_seresnext50_32x4d,688.18,370.947,256,224,27.56 -seresnext50_32x4d,688.18,370.943,256,224,27.56 -resnetv2_101d,686.94,371.274,256,224,44.56 -darknet53,683.71,373.676,256,256,41.61 -dla60x,680.87,375.081,256,224,17.35 -nf_regnet_b0,680.47,751.331,512,256,8.76 -efficientnetv2_rw_t,669.58,284.789,192,288,13.65 -gluon_resnet101_v1d,666.43,382.723,256,224,44.57 -regnety_008,657.21,778.104,512,224,6.26 -rexnet_200,656.53,291.353,192,224,16.37 -tf_efficientnetv2_b3,655.17,291.405,192,300,14.36 -vit_small_r26_s32_224,652.39,391.27,256,224,36.43 -sebotnet33ts_256,650.1,196.14,128,256,13.7 -wide_resnet50_2,646.12,593.536,384,224,68.88 -vgg13,645.37,594.836,384,224,133.05 -dla102,640.56,398.166,256,224,33.27 -vit_base_resnet50d_224,619.99,411.439,256,224,110.97 -gluon_resnet101_v1s,614.53,415.124,256,224,44.67 -resnext26ts,613.38,625.548,384,256,10.3 -resnetaa101d,612.93,416.224,256,224,44.57 -ecaresnet26t,610.98,418.477,256,320,16.01 -gmixer_24_224,610.59,417.896,256,224,24.72 -repvgg_b1,609.77,838.686,512,224,57.42 -eca_botnext26ts_256,609.21,419.672,256,256,10.59 -eca_halonext26ts,598.72,427.016,256,256,10.76 -gc_efficientnetv2_rw_t,597.14,319.011,192,288,13.68 -eca_resnext26ts,593.02,431.168,256,256,10.3 -seresnext26ts,592.35,431.553,256,256,10.39 -regnetx_008,587.44,870.811,512,224,7.26 -convnext_tiny,584.52,437.049,256,224,28.59 -coat_lite_tiny,583.0,657.845,384,224,5.72 -convnext_tiny_hnf,582.18,438.813,256,224,28.59 -gcresnext26ts,581.42,439.532,256,256,10.48 -mixnet_m,576.71,664.443,384,224,5.01 -resnetv2_50x1_bit_distilled,575.65,332.777,192,224,25.55 -cspdarknet53,570.42,447.825,256,256,27.64 -legacy_seresnet101,570.04,447.058,256,224,49.33 -halonet50ts,568.71,336.701,192,256,22.73 -res2net50_26w_6s,565.22,451.306,256,224,37.05 -resnetblur101d,562.81,453.413,256,224,44.57 -seresnet101,560.51,454.74,256,224,49.33 -coat_lite_mini,559.21,685.884,384,224,11.01 -xcit_small_12_p16_224,558.21,456.962,256,224,26.25 -xcit_small_12_p16_224_dist,557.95,457.219,256,224,26.25 -vgg13_bn,555.55,460.55,256,224,133.05 -tf_efficientnet_lite3,555.29,229.476,128,300,8.2 -efficientnet_lite3,554.26,229.924,128,300,8.2 -tf_mixnet_m,541.25,708.06,384,224,5.01 -ssl_resnext101_32x4d,539.66,472.944,256,224,44.18 -gluon_resnext101_32x4d,539.41,473.189,256,224,44.18 -xcit_tiny_24_p16_224_dist,538.89,472.126,256,224,12.12 -resnext101_32x4d,538.71,473.739,256,224,44.18 -xcit_tiny_24_p16_224,538.48,472.477,256,224,12.12 -swsl_resnext101_32x4d,538.39,474.037,256,224,44.18 -densenet201,535.33,355.953,192,224,20.01 -bat_resnext26ts,534.3,478.021,256,256,10.73 -twins_svt_small,529.33,482.243,256,224,24.06 -mixer_b16_224,521.89,489.791,256,224,59.88 -mixer_b16_224_miil,521.33,490.33,256,224,59.88 -vgg16,519.79,738.569,384,224,138.36 -nf_seresnet101,519.55,490.612,256,224,49.33 -gmlp_s16_224,514.57,371.708,192,224,19.42 -crossvit_small_240,514.25,371.914,192,240,26.86 -resnetv2_152,514.07,495.927,256,224,60.19 -res2net101_26w_4s,512.94,372.022,192,224,45.21 -resnetv2_50d_gn,512.21,374.104,192,224,25.57 -botnet50ts_256,511.02,249.57,128,256,22.74 -vit_base_r26_s32_224,509.73,375.506,192,224,101.38 -efficientnet_b3_pruned,508.52,501.852,256,300,9.86 -nf_regnet_b3,507.41,502.895,256,320,18.59 -res2next50,500.31,510.5,256,224,24.67 -xcit_nano_12_p16_384_dist,497.26,513.197,256,384,3.05 -dla102x,495.72,385.887,192,224,26.31 -resnet50_gn,494.95,387.141,192,224,25.56 -mixnet_l,494.74,516.045,256,224,7.33 -resnet152,490.44,389.409,192,224,60.19 -gluon_resnet152_v1b,490.37,389.44,192,224,60.19 -tv_resnet152,490.23,389.552,192,224,60.19 -resmlp_36_224,489.84,389.965,192,224,44.69 -resmlp_36_distilled_224,489.66,390.129,192,224,44.69 -cait_xxs24_224,487.15,523.231,256,224,11.96 -mixer_l32_224,486.19,393.553,192,224,206.94 -halo2botnet50ts_256,485.95,262.504,128,256,22.64 -xception,485.66,262.809,128,299,22.86 -visformer_tiny,484.78,1055.527,512,224,10.32 -vit_large_patch32_224,484.04,527.472,256,224,306.54 -vit_base_patch32_384,478.93,533.779,256,384,88.3 -gluon_resnet152_v1c,476.8,400.507,192,224,60.21 -resnetv2_152d,475.38,401.77,192,224,60.2 -crossvit_15_240,472.73,404.523,192,240,27.53 -res2net50_26w_8s,468.77,407.558,192,224,48.4 -tf_mixnet_l,466.85,546.936,256,224,7.33 -gluon_resnet152_v1d,465.06,410.759,192,224,60.21 -ecaresnet101d,462.22,552.191,256,224,44.57 -crossvit_15_dagger_240,459.76,415.927,192,240,28.21 -vgg16_bn,457.66,559.065,256,224,138.37 -nf_ecaresnet101,455.3,560.589,256,224,44.55 -efficientnet_el,446.2,285.844,128,300,10.59 -efficientnet_el_pruned,445.59,286.28,128,300,10.59 -swin_tiny_patch4_window7_224,445.53,573.708,256,224,28.29 -fbnetv3_g,442.28,287.506,128,288,16.62 -gluon_resnet152_v1s,441.14,433.129,192,224,60.32 -gluon_seresnext101_32x4d,437.16,437.191,192,224,48.96 -tf_efficientnet_el,436.28,292.36,128,300,10.59 -vgg19,436.15,880.196,384,224,143.67 -seresnext101_32x4d,435.91,438.42,192,224,48.96 -legacy_seresnext101_32x4d,435.08,439.246,192,224,48.96 -ese_vovnet99b,434.62,587.614,256,224,63.2 -skresnext50_32x4d,434.44,587.996,256,224,27.48 -twins_pcpvt_small,433.1,589.648,256,224,24.11 -dla60_res2next,431.53,591.928,256,224,17.03 -dla169,427.18,447.18,192,224,53.39 -hrnet_w32,426.75,445.609,192,224,41.23 -hrnet_w18,413.83,614.275,256,224,21.3 -convit_small,409.81,467.592,192,224,27.78 -vit_tiny_patch16_384,409.3,311.972,128,384,5.79 -vit_small_resnet50d_s16_224,407.06,470.553,192,224,57.53 -vgg19_bn,388.74,658.182,256,224,143.68 -ecaresnet50t,388.23,328.837,128,320,25.57 -inception_v4,387.4,493.551,192,299,42.68 -tf_efficientnet_b3_ap,384.58,331.269,128,300,12.23 -tf_efficientnet_b3_ns,384.22,331.517,128,300,12.23 -tf_efficientnet_b3,384.13,331.655,128,300,12.23 -legacy_seresnet152,382.75,498.635,192,224,66.82 -xcit_nano_12_p8_224,378.83,674.154,256,224,3.05 -xcit_nano_12_p8_224_dist,378.65,674.433,256,224,3.05 -convnext_small,375.68,509.406,192,224,50.22 -regnetx_016,374.21,1367.378,512,224,9.19 -haloregnetz_b,372.27,686.285,256,224,11.68 -densenet161,371.62,342.252,128,224,28.68 -repvgg_b2,368.23,1389.47,512,224,89.02 -seresnet152,362.95,349.646,128,224,66.82 -nest_tiny,356.9,357.853,128,224,17.06 -dla102x2,355.19,358.924,128,224,41.28 -vit_base_patch16_224_miil,354.79,360.089,128,224,86.54 -jx_nest_tiny,353.97,360.795,128,224,17.06 -gluon_resnext101_64x4d,352.72,361.493,128,224,83.46 -resnext101_64x4d,352.52,361.632,128,224,83.46 -wide_resnet101_2,350.85,545.834,192,224,126.89 -regnety_016,350.64,1458.484,512,224,11.2 -vit_base_patch16_224,349.4,365.598,128,224,86.57 -deit_base_patch16_224,349.3,365.691,128,224,86.57 -vit_base_patch16_224_sam,349.14,365.832,128,224,86.57 -resnet200,348.81,364.208,128,224,64.67 -resnest14d,348.25,1469.78,512,224,10.61 -efficientnet_b3a,345.42,368.96,128,320,12.23 -efficientnet_b3,345.06,369.413,128,320,12.23 -deit_base_distilled_patch16_224,344.74,370.536,128,224,87.34 -crossvit_18_240,343.92,370.408,128,240,43.27 -hrnet_w30,341.47,745.312,256,224,37.71 -crossvit_18_dagger_240,335.19,380.045,128,240,44.27 -ens_adv_inception_resnet_v2,334.4,571.029,192,299,55.84 -inception_resnet_v2,334.03,571.741,192,299,55.84 -efficientnet_lite4,332.63,191.154,64,380,13.01 -nf_regnet_b1,327.56,1561.741,512,288,10.22 -coat_lite_small,324.96,589.506,192,224,19.84 -dpn92,324.94,786.493,256,224,37.67 -resnet101d,323.43,394.33,128,320,44.57 -mixnet_xl,322.47,593.686,192,224,11.9 -beit_base_patch16_224,320.26,398.682,128,224,86.53 -tf_efficientnet_lite4,319.09,199.328,64,380,13.01 -gcresnext50ts,314.79,608.558,192,256,15.67 -resnetrs101,314.59,404.798,128,288,63.62 -twins_pcpvt_base,313.15,610.712,192,224,43.83 -cait_xxs36_224,311.89,407.079,128,224,17.3 -gluon_seresnext101_64x4d,306.13,416.102,128,224,88.23 -twins_svt_base,305.99,416.477,128,224,56.07 -repvgg_b3,305.95,1254.102,384,224,123.09 -regnetz_d8,301.65,210.668,64,320,23.37 -xception41,300.49,424.83,128,299,26.97 -efficientnetv2_s,292.99,325.601,96,384,21.46 -ese_vovnet39b_evos,292.82,436.279,128,224,24.58 -efficientnetv2_rw_s,289.9,218.715,64,384,23.94 -tf_efficientnetv2_s,289.31,329.828,96,384,21.46 -swin_small_patch4_window7_224,289.15,441.029,128,224,49.61 -tf_efficientnetv2_s_in21ft1k,288.88,330.272,96,384,21.46 -xcit_small_24_p16_224_dist,286.23,444.237,128,224,47.67 -xcit_small_24_p16_224,286.12,444.416,128,224,47.67 -hrnet_w40,285.91,667.227,192,224,57.56 -pit_b_224,285.13,335.829,96,224,73.76 -pit_b_distilled_224,284.45,336.631,96,224,74.79 -nf_regnet_b2,282.04,1813.867,512,272,14.31 -gluon_xception65,276.41,345.52,96,299,39.92 -dpn98,275.63,462.928,128,224,61.57 -xception65,275.32,346.928,96,299,39.92 -resnet51q,274.2,699.442,192,288,35.7 -convnext_base_in22ft1k,273.43,466.529,128,224,88.59 -convnext_base,272.92,467.434,128,224,88.59 -nf_regnet_b4,271.03,470.306,128,384,30.21 -xcit_tiny_12_p8_224,270.45,471.679,128,224,6.71 -xcit_tiny_12_p8_224_dist,270.45,471.621,128,224,6.71 -cait_s24_224,268.53,474.373,128,224,46.92 -hrnet_w48,262.05,484.085,128,224,77.47 -resnest26d,254.99,1505.218,384,224,17.07 -resnest50d_1s4x24d,252.9,1011.055,256,224,25.68 -resnetv2_50d_evob,247.25,775.496,192,224,25.59 -regnetz_c16,246.47,517.947,128,320,13.46 -gmlp_b16_224,243.4,392.966,96,224,73.08 -hrnet_w44,236.76,806.557,192,224,67.06 -twins_svt_large,235.13,542.578,128,224,99.27 -efficientnet_b4,234.85,270.618,64,384,19.34 -nest_small,234.57,407.797,96,224,38.35 -resnetv2_50d_evos,233.18,410.671,96,224,25.59 -jx_nest_small,233.1,410.378,96,224,38.35 -tf_efficientnet_b4_ap,230.34,275.916,64,380,19.34 -tresnet_m,230.07,2222.819,512,224,31.39 -tf_efficientnet_b4,229.98,276.378,64,380,19.34 -tf_efficientnet_b4_ns,229.78,276.586,64,380,19.34 -visformer_small,229.49,1672.652,384,224,40.22 -crossvit_base_240,228.79,418.11,96,240,105.03 -nfnet_l0,228.47,1119.415,256,288,35.07 -coat_tiny,228.08,559.427,128,224,5.5 -twins_pcpvt_large,223.01,570.431,128,224,60.99 -eca_nfnet_l0,221.69,1153.795,256,288,24.14 -vit_large_r50_s32_224,220.98,432.297,96,224,328.99 -swin_base_patch4_window7_224,220.89,577.812,128,224,87.77 -densenet264,217.72,437.317,96,224,72.69 -hrnet_w64,216.27,587.374,128,224,128.06 -convit_base,213.62,448.479,96,224,86.54 -xception71,212.24,299.632,64,299,42.34 -vit_small_r26_s32_384,211.98,300.724,64,384,36.47 -resnet152d,211.82,451.04,96,320,60.21 -vit_small_patch16_384,209.76,304.352,64,384,22.2 -xcit_medium_24_p16_224,207.55,459.61,96,224,84.4 -xcit_medium_24_p16_224_dist,207.03,460.529,96,224,84.4 -resnet61q,206.68,618.373,128,288,36.85 -dpn131,205.78,620.133,128,224,79.25 -mixnet_xxl,204.23,624.949,128,224,23.96 -vit_base_r50_s16_224,195.65,325.59,64,224,98.66 -coat_mini,193.15,660.874,128,224,10.34 -regnety_040,193.14,1986.785,384,224,20.65 -xcit_small_12_p16_384_dist,191.88,498.659,96,384,26.25 -xcit_tiny_24_p16_384_dist,186.09,512.939,96,384,12.12 -seresnet200d,185.21,514.398,96,256,71.86 -regnetz_b16,179.85,1066.235,192,288,9.72 -repvgg_b1g4,177.2,2888.374,512,224,39.97 -ecaresnet200d,176.34,541.265,96,256,64.69 -nest_base,176.15,361.868,64,224,67.72 -convmixer_768_32,176.07,543.988,96,224,21.11 -resnest50d,175.35,1458.742,256,224,27.48 -regnety_032,175.25,1459.459,256,288,19.44 -jx_nest_base,174.95,364.333,64,224,67.72 -regnetx_032,174.19,2203.311,384,224,15.3 -senet154,172.45,553.616,96,224,115.09 -gluon_senet154,172.38,553.858,96,224,115.09 -legacy_senet154,171.96,555.183,96,224,115.09 -seresnet152d,169.43,374.655,64,320,66.84 -resnetrs152,167.98,377.927,64,320,86.62 -dpn107,167.97,570.011,96,224,86.92 -halonet_h1,167.27,381.366,64,256,8.1 -resnest50d_4s2x40d,163.46,1564.906,256,224,30.42 -resnet200d,163.41,388.892,64,320,64.69 -mixer_l16_224,161.74,592.23,96,224,208.2 -convnext_large_in22ft1k,160.8,595.418,96,224,197.77 -convnext_large,160.72,595.739,96,224,197.77 -regnetx_040,160.66,2389.077,384,224,22.12 -tnt_s_patch16_224,157.73,809.855,128,224,23.76 -regnetx_080,148.64,1721.236,256,224,39.57 -efficientnetv2_m,147.13,323.331,48,416,54.14 -resnext101_32x8d,145.87,876.049,128,224,88.79 -ssl_resnext101_32x8d,145.3,879.52,128,224,88.79 -vit_large_patch32_384,145.15,439.536,64,384,306.63 -xcit_small_12_p8_224_dist,145.04,439.625,64,224,26.21 -xcit_small_12_p8_224,144.99,439.796,64,224,26.21 -ig_resnext101_32x8d,144.47,884.578,128,224,88.79 -swsl_resnext101_32x8d,144.29,885.69,128,224,88.79 -regnetz_e8,140.91,338.814,48,320,57.7 -xcit_tiny_24_p8_224,139.28,686.242,96,224,12.11 -xcit_tiny_24_p8_224_dist,139.16,686.889,96,224,12.11 -resnetv2_50x1_bitm,137.88,347.358,48,448,25.55 -seresnext101_32x8d,136.74,934.059,128,224,93.57 -seresnet269d,134.18,471.701,64,256,113.67 -swin_large_patch4_window7_224,132.61,480.998,64,224,196.53 -xcit_nano_12_p8_384_dist,128.43,496.705,64,384,3.05 -tnt_b_patch16_224,126.43,757.626,96,224,65.41 -xcit_large_24_p16_224,124.67,510.437,64,224,189.1 -xcit_large_24_p16_224_dist,124.62,510.639,64,224,189.1 -efficientnetv2_rw_m,123.91,255.105,32,416,53.24 -regnetx_064,123.53,2071.55,256,224,26.21 -regnety_064,121.34,2108.152,256,224,30.58 -resnetrs200,119.86,396.447,48,320,93.21 -nfnet_f0,119.25,2145.698,256,256,71.49 -nfnet_f0s,118.17,2165.276,256,256,71.49 -ese_vovnet99b_iabn,116.31,3298.583,384,224,63.2 -regnety_080,108.46,2359.307,256,224,39.18 -tf_efficientnetv2_m_in21ft1k,107.43,294.9,32,480,54.14 -vit_large_patch16_224,106.81,447.947,48,224,304.33 -tf_efficientnetv2_m,106.77,296.673,32,480,54.14 -convnext_xlarge_in22ft1k,104.57,610.376,64,224,350.2 -crossvit_15_dagger_408,103.52,307.452,32,408,28.5 -tresnet_l,102.9,4972.484,512,224,55.99 -repvgg_b2g4,101.39,5048.708,512,224,61.76 -eca_nfnet_l1,99.64,1282.96,128,320,41.41 -xcit_small_24_p16_384_dist,98.62,483.709,48,384,47.67 -beit_large_patch16_224,98.03,487.815,48,224,304.43 -cspdarknet53_iabn,97.55,3934.064,384,256,27.64 -efficientnet_b5,94.83,335.072,32,456,30.39 -convnext_base_384_in22ft1k,93.76,510.323,48,384,88.59 -tf_efficientnet_b5_ap,93.42,340.255,32,456,30.39 -tf_efficientnet_b5_ns,93.39,340.338,32,456,30.39 -tf_efficientnet_b5,93.26,340.852,32,456,30.39 -xcit_tiny_12_p8_384_dist,92.1,519.585,48,384,6.71 -tresnet_xl,89.9,4267.972,384,224,78.44 -vit_base_patch16_384,89.9,355.185,32,384,86.86 -deit_base_patch16_384,89.87,355.331,32,384,86.86 -cspresnext50_iabn,89.4,4293.09,384,256,20.57 -resnest101e,88.34,1446.581,128,256,48.28 -deit_base_distilled_patch16_384,88.07,362.54,32,384,87.63 -cait_xxs24_384,87.17,364.76,32,384,12.03 -nf_regnet_b5,85.26,748.171,64,456,49.74 -resnetv2_101x1_bitm,84.86,375.607,32,448,44.54 -resnetv2_152x2_bit_teacher,84.71,375.537,32,224,236.34 -repvgg_b3g4,83.61,4591.876,384,224,83.83 -crossvit_18_dagger_408,77.92,306.154,24,408,44.61 -regnetx_120,77.0,3323.571,256,224,46.11 -beit_base_patch16_384,76.44,313.03,24,384,86.74 -ecaresnet269d,75.74,418.332,32,352,102.09 -regnety_120,75.43,2544.024,192,224,51.82 -pnasnet5large,75.01,423.127,32,331,86.06 -vit_large_r50_s32_384,73.58,432.769,32,384,329.09 -xcit_small_24_p8_224_dist,73.31,433.498,32,224,47.63 -xcit_small_24_p8_224,73.25,433.859,32,224,47.63 -resnetrs270,73.04,432.615,32,352,129.86 -regnetz_d32,71.19,897.484,64,320,27.58 -dm_nfnet_f0,71.06,3601.578,256,256,71.49 -xcit_medium_24_p16_384_dist,70.95,448.036,32,384,84.4 -regnetz_d8_evob,68.84,695.406,48,320,23.41 -regnety_320,66.69,1917.907,128,224,145.05 -nasnetalarge,65.99,480.339,32,331,88.75 -resmlp_big_24_distilled_224,65.96,483.761,32,224,129.14 -resmlp_big_24_224,65.94,483.953,32,224,129.14 -resmlp_big_24_224_in22ft1k,65.9,484.194,32,224,129.14 -regnetx_160,65.04,2951.208,192,224,54.28 -regnetz_d8_evos,62.47,510.384,32,320,23.46 -cait_xs24_384,60.56,393.982,24,384,26.67 -swin_base_patch4_window12_384,60.23,396.845,24,384,87.9 -efficientnetv2_l,60.16,261.949,16,480,118.52 -convmixer_1024_20_ks9_p14,59.76,4282.918,256,224,24.38 -tf_efficientnetv2_l,59.73,263.768,16,480,118.52 -tf_efficientnetv2_l_in21ft1k,59.31,265.732,16,480,118.52 -vit_base_patch8_224,57.86,275.754,16,224,86.58 -cait_xxs36_384,56.92,418.29,24,384,17.37 -convnext_large_384_in22ft1k,54.87,581.624,32,384,197.77 -xcit_medium_24_p8_224,54.52,584.052,32,224,84.32 -xcit_medium_24_p8_224_dist,54.51,583.988,32,224,84.32 -vit_base_resnet50_384,54.07,294.48,16,384,98.95 -vit_base_r50_s16_384,54.05,294.543,16,384,98.95 -tresnet_m_448,52.97,3622.14,192,448,31.39 -xcit_small_12_p8_384_dist,49.7,481.259,24,384,26.21 -regnety_160,48.21,1990.283,96,288,83.59 -xcit_tiny_24_p8_384_dist,47.11,676.387,32,384,12.11 -ssl_resnext101_32x16d,46.89,2045.721,96,224,194.03 -swsl_resnext101_32x16d,46.82,2049.006,96,224,194.03 -ig_resnext101_32x16d,46.52,2062.16,96,224,194.03 -resnetrs350,46.21,512.496,24,384,163.96 -regnetx_320,45.87,2789.512,128,224,107.81 -cait_s24_384,45.29,350.995,16,384,47.06 -eca_nfnet_l2,44.43,1438.009,64,384,56.72 -xcit_large_24_p16_384_dist,43.19,552.749,24,384,189.1 -efficientnet_b6,42.65,372.523,16,528,43.04 -tf_efficientnet_b6,41.27,384.949,16,528,43.04 -tf_efficientnet_b6_ap,41.07,386.945,16,528,43.04 -tf_efficientnet_b6_ns,41.05,387.133,16,528,43.04 -nfnet_f1,39.56,2424.624,96,320,132.63 -nfnet_f1s,39.31,2439.907,96,320,132.63 -vit_huge_patch14_224,38.12,417.919,16,224,632.05 -dm_nfnet_f1,37.77,1692.371,64,320,132.63 -swin_large_patch4_window12_384,36.73,433.938,16,384,196.74 -efficientnet_b7,35.91,219.519,8,600,66.35 -efficientnetv2_xl,35.88,329.245,12,512,208.12 -tf_efficientnetv2_xl_in21ft1k,35.79,329.897,12,512,208.12 -tf_efficientnet_b7,35.55,221.854,8,600,66.35 -tf_efficientnet_b7_ns,35.4,222.801,8,600,66.35 -tf_efficientnet_b7_ap,35.26,223.637,8,600,66.35 -convnext_xlarge_384_in22ft1k,34.11,467.466,16,384,350.2 -resnetrs420,31.93,492.311,16,416,191.89 -xcit_large_24_p8_224_dist,31.85,499.415,16,224,188.93 -xcit_large_24_p8_224,31.84,499.581,16,224,188.93 -resnest200e,31.57,1515.738,48,320,70.2 -densenet264d_iabn,31.46,4064.91,128,224,72.74 -resnetv2_50x3_bitm,30.97,515.904,16,448,217.32 -cait_s36_384,29.83,399.013,12,384,68.37 -resnetv2_152x2_bit_teacher_384,29.16,409.309,12,384,236.34 -vit_large_patch16_384,26.62,299.125,8,384,304.72 -tresnet_l_448,25.11,5094.194,128,448,55.99 -xcit_small_24_p8_384_dist,25.02,476.66,12,384,47.63 -eca_nfnet_l3,23.96,1332.494,32,448,72.04 -efficientnet_cc_b0_4e,23.7,40.469,1,224,13.31 -efficientnet_cc_b0_8e,22.94,41.864,1,224,24.01 -tresnet_xl_448,22.71,4223.097,96,448,78.44 -beit_large_patch16_384,22.62,351.795,8,384,305.0 -tf_efficientnet_cc_b0_8e,22.37,43.033,1,224,24.01 -nfnet_f2,21.97,2181.861,48,352,193.78 -nfnet_f2s,21.86,2193.026,48,352,193.78 -vit_giant_patch14_224,21.57,368.599,8,224,1012.61 -dm_nfnet_f2,21.42,1490.949,32,352,193.78 -tf_efficientnet_cc_b0_4e,21.27,45.221,1,224,13.31 -resnetv2_152x2_bitm,21.19,375.422,8,448,236.34 -efficientnet_cc_b1_8e,18.42,52.102,1,240,39.72 -xcit_medium_24_p8_384_dist,17.99,441.849,8,384,84.32 -ig_resnext101_32x32d,17.78,1798.209,32,224,468.53 -tf_efficientnet_cc_b1_8e,17.44,55.209,1,240,39.72 -resnetv2_101x3_bitm,17.08,466.831,8,448,387.93 -resnest269e,12.91,1852.797,24,416,110.93 -nfnet_f3,11.98,1999.215,24,416,254.92 -nfnet_f3s,11.88,2016.77,24,416,254.92 -dm_nfnet_f3,11.64,2058.707,24,416,254.92 -cait_m36_384,11.45,520.837,6,384,271.22 -efficientnet_b8,11.27,528.827,6,672,87.41 -tf_efficientnet_b8_ap,11.23,530.563,6,672,87.41 -tf_efficientnet_b8,11.1,537.074,6,672,87.41 -xcit_large_24_p8_384_dist,10.94,545.597,6,384,188.93 -convmixer_1536_20,9.34,5136.027,48,224,51.63 -tf_efficientnet_l2_ns_475,8.79,336.325,3,475,480.31 -ig_resnext101_32x48d,8.38,1908.292,16,224,828.41 -beit_large_patch16_512,8.36,357.133,3,512,305.67 -nfnet_f4s,6.37,1879.688,12,512,316.07 -nfnet_f4,6.34,1889.493,12,512,316.07 -dm_nfnet_f4,6.16,1941.969,12,512,316.07 -cait_m48_448,4.64,426.785,2,448,356.46 -nfnet_f5,4.56,1747.564,8,544,377.21 -nfnet_f5s,4.56,1750.367,8,544,377.21 -dm_nfnet_f5,4.43,1800.804,8,544,377.21 -nfnet_f6,3.47,1722.95,6,576,438.36 -nfnet_f6s,3.47,1723.469,6,576,438.36 -dm_nfnet_f6,3.34,1791.721,6,576,438.36 -resnetv2_152x4_bitm,3.17,313.58,1,480,936.53 -nfnet_f7,2.64,1507.256,4,608,499.5 -nfnet_f7s,2.63,1515.779,4,608,499.5 -efficientnet_l2,2.07,477.813,1,800,480.31 -tf_efficientnet_l2_ns,2.03,488.22,1,800,480.31 +tinynet_e,11865.58,41.98,512,106,2.04 +mobilenetv3_small_050,9629.08,51.965,512,224,1.59 +lcnet_035,9606.99,52.813,512,224,1.64 +lcnet_050,8308.1,61.144,512,224,1.88 +tf_mobilenetv3_small_minimal_100,8177.36,62.078,512,224,2.04 +tinynet_d,7868.57,64.271,512,152,2.34 +mobilenetv3_small_075,7711.11,65.691,512,224,2.04 +mobilenetv3_small_100,7460.55,67.914,512,224,2.54 +tf_mobilenetv3_small_075,7072.94,71.668,512,224,2.04 +tf_mobilenetv3_small_100,6822.85,74.336,512,224,2.54 +levit_128s,6307.22,80.265,512,224,7.78 +lcnet_075,5771.69,88.22,512,224,2.36 +lcnet_100,5340.01,95.349,512,224,2.95 +mnasnet_small,4625.32,109.825,512,224,2.03 +mnasnet_050,4551.97,111.686,512,224,2.22 +levit_128,4410.33,114.704,512,224,9.21 +mixer_s32_224,4217.66,120.85,512,224,19.1 +mobilenetv2_035,4180.28,121.712,512,224,1.68 +gernet_s,4116.78,123.681,512,224,8.17 +tinynet_c,4103.49,123.752,512,184,2.46 +semnasnet_050,4028.68,126.209,512,224,2.08 +levit_192,3811.4,133.194,512,224,10.95 +vit_small_patch32_224,3700.17,137.556,512,224,22.88 +lcnet_150,3681.41,138.606,512,224,4.5 +gluon_resnet18_v1b,3581.02,142.641,512,224,11.69 +resnet18,3574.82,142.871,512,224,11.69 +ssl_resnet18,3574.64,142.896,512,224,11.69 +swsl_resnet18,3565.29,143.268,512,224,11.69 +mobilenetv2_050,3526.73,144.403,512,224,1.97 +vit_tiny_r_s16_p8_224,3365.24,151.299,512,224,6.34 +mobilenetv3_large_075,3334.18,152.721,512,224,3.99 +ese_vovnet19b_slim_dw,3240.01,157.539,512,224,1.9 +seresnet18,3217.3,158.65,512,224,11.78 +tf_mobilenetv3_large_minimal_100,3209.68,158.819,512,224,3.92 +legacy_seresnet18,3142.19,162.435,512,224,11.78 +mnasnet_075,3119.09,163.378,512,224,3.17 +tf_mobilenetv3_large_075,3090.56,164.803,512,224,3.99 +ghostnet_050,3063.05,165.85,512,224,2.59 +mobilenetv3_rw,3014.78,168.962,512,224,5.48 +mobilenetv3_large_100,2992.21,170.226,512,224,5.48 +mobilenetv3_large_100_miil,2990.87,170.323,512,224,5.48 +levit_256,2894.46,175.762,512,224,18.89 +hardcorenas_a,2868.48,177.792,512,224,5.26 +resnet18d,2834.12,180.284,512,224,11.71 +mnasnet_100,2827.14,180.334,512,224,4.38 +mnasnet_b1,2827.02,180.326,512,224,4.38 +tf_mobilenetv3_large_100,2779.62,183.335,512,224,5.48 +tinynet_b,2747.1,185.348,512,188,3.73 +hardcorenas_b,2668.69,190.927,512,224,5.18 +semnasnet_075,2655.76,191.892,512,224,2.91 +hardcorenas_c,2631.09,193.667,512,224,5.52 +ese_vovnet19b_slim,2599.09,196.628,512,224,3.17 +mobilenetv2_075,2533.52,201.317,512,224,2.64 +spnasnet_100,2511.06,202.936,512,224,4.42 +tf_efficientnetv2_b0,2494.41,204.074,512,224,7.14 +hardcorenas_d,2465.48,206.526,512,224,7.5 +levit_256d,2462.33,206.435,512,224,26.21 +mnasnet_a1,2405.65,211.939,512,224,3.89 +semnasnet_100,2399.02,212.51,512,224,3.89 +mobilenetv2_100,2378.23,214.513,512,224,3.5 +regnetx_002,2343.58,217.787,512,224,2.68 +tinynet_a,2256.09,225.69,512,192,6.19 +ghostnet_100,2255.1,225.72,512,224,5.18 +fbnetc_100,2254.08,226.169,512,224,5.57 +regnety_002,2253.77,226.257,512,224,3.16 +efficientnet_lite0,2211.3,230.81,512,224,4.65 +hardcorenas_f,2190.03,232.713,512,224,8.2 +hardcorenas_e,2162.31,235.693,512,224,8.07 +tv_resnet34,2075.27,246.161,512,224,21.8 +resnet34,2068.19,246.986,512,224,21.8 +gluon_resnet34_v1b,2067.71,247.057,512,224,21.8 +skresnet18,2066.34,247.158,512,224,11.96 +tf_efficientnet_lite0,2054.44,248.465,512,224,4.65 +resnetblur18,1969.59,259.6,512,224,11.69 +resnet26,1968.95,259.579,512,224,16.0 +gernet_m,1919.3,266.068,512,224,21.14 +ese_vovnet19b_dw,1895.91,269.566,512,224,6.54 +nf_resnet26,1892.25,270.084,512,224,16.0 +hrnet_w18_small,1887.88,269.862,512,224,13.19 +seresnet34,1853.44,275.372,512,224,21.96 +mnasnet_140,1845.29,276.683,512,224,7.12 +legacy_seresnet34,1806.55,282.531,512,224,21.96 +resnet34d,1806.5,282.837,512,224,21.82 +efficientnet_b0,1788.38,213.649,384,224,5.29 +levit_384,1780.35,286.471,512,224,39.13 +mobilenetv2_110d,1767.81,216.252,384,224,4.52 +rexnetr_100,1752.61,217.959,384,224,4.88 +selecsls42,1747.75,292.316,512,224,30.35 +selecsls42b,1738.89,293.814,512,224,32.46 +deit_tiny_patch16_224,1689.9,302.152,512,224,5.72 +tf_efficientnet_b0_ap,1684.9,226.862,384,224,5.29 +tf_efficientnet_b0_ns,1683.36,227.058,384,224,5.29 +tf_efficientnet_b0,1683.23,227.077,384,224,5.29 +vit_tiny_patch16_224,1683.04,303.395,512,224,5.72 +deit_tiny_distilled_patch16_224,1666.5,306.386,512,224,5.91 +semnasnet_140,1636.74,311.892,512,224,6.11 +efficientnet_es,1623.57,314.604,512,224,5.44 +efficientnet_es_pruned,1623.07,314.728,512,224,5.44 +mixer_b32_224,1621.79,314.927,512,224,60.29 +tf_efficientnet_es,1614.49,316.384,512,224,5.44 +resnet26d,1611.26,317.273,512,224,16.01 +ghostnet_130,1598.03,319.078,512,224,7.36 +tf_efficientnetv2_b1,1597.89,238.836,384,240,8.14 +repvgg_b0,1575.31,323.975,512,224,15.82 +pit_ti_224,1548.89,329.683,512,224,4.85 +pit_ti_distilled_224,1548.6,329.749,512,224,5.1 +resmlp_12_224,1545.21,330.553,512,224,15.35 +resmlp_12_distilled_224,1540.69,331.552,512,224,15.35 +mobilenetv2_140,1540.03,248.569,384,224,6.11 +vit_base_patch32_224,1513.69,337.426,512,224,88.22 +vit_base_patch32_224_sam,1513.5,337.457,512,224,88.22 +selecsls60,1477.69,345.619,512,224,30.67 +selecsls60b,1473.48,346.601,512,224,32.77 +nf_seresnet26,1470.65,347.478,512,224,17.4 +xcit_nano_12_p16_224,1446.71,352.118,512,224,3.05 +xcit_nano_12_p16_224_dist,1446.49,352.205,512,224,3.05 +mixer_s16_224,1421.1,359.737,512,224,18.53 +efficientnet_lite1,1418.43,179.546,256,240,5.42 +efficientnet_b1_pruned,1373.85,371.198,512,240,6.33 +dla46_c,1358.21,376.236,512,224,1.3 +nf_ecaresnet26,1357.53,376.618,512,224,16.0 +poolformer_s12,1347.4,379.311,512,224,11.92 +rexnetr_130,1344.64,189.254,256,224,7.61 +tf_efficientnet_lite1,1343.17,189.621,256,240,5.42 +mobilenetv2_120d,1310.43,194.218,256,224,5.83 +resnetv2_50,1297.38,393.874,512,224,25.55 +gernet_l,1283.43,398.072,512,256,31.08 +rexnet_100,1272.36,300.69,384,224,4.8 +pit_xs_distilled_224,1254.74,407.184,512,224,11.0 +pit_xs_224,1254.0,407.428,512,224,10.62 +gmixer_12_224,1249.86,408.85,512,224,12.7 +resnet26t,1229.42,415.965,512,256,16.01 +vit_small_patch32_384,1222.24,418.08,512,384,22.92 +gluon_resnet50_v1b,1211.76,316.088,384,224,25.56 +resnet50,1209.87,316.583,384,224,25.56 +swsl_resnet50,1207.82,317.131,384,224,25.56 +ssl_resnet50,1206.46,317.499,384,224,25.56 +tv_resnet50,1206.19,317.554,384,224,25.56 +fbnetv3_b,1183.98,322.691,384,256,8.6 +rexnetr_150,1180.6,215.678,256,224,9.78 +skresnet34,1172.64,435.505,512,224,22.28 +botnet26t_256,1165.39,328.958,384,256,12.49 +regnetx_004,1156.64,441.6,512,224,5.16 +tf_efficientnetv2_b2,1153.57,220.384,256,260,10.1 +mobilevit_xxs,1138.13,336.274,384,256,1.27 +repvgg_a2,1135.99,449.884,512,224,28.21 +fbnetv3_d,1135.22,223.716,256,256,10.31 +resnetv2_50t,1134.34,450.569,512,224,25.57 +resnetv2_50d,1133.08,451.042,512,224,25.57 +gluon_resnet50_v1c,1130.59,338.824,384,224,25.58 +halonet26t,1113.35,344.34,384,256,12.48 +efficientnet_lite2,1098.34,232.132,256,260,6.09 +dla34,1084.57,471.49,512,224,15.74 +mixnet_s,1077.24,474.033,512,224,4.13 +resnet50d,1072.54,357.199,384,224,25.58 +gluon_resnet50_v1d,1071.22,357.651,384,224,25.58 +resnet50t,1070.87,357.75,384,224,25.57 +xcit_tiny_12_p16_224,1059.54,481.47,512,224,6.72 +xcit_tiny_12_p16_224_dist,1056.83,482.712,512,224,6.72 +vit_tiny_r_s16_p8_384,1051.35,364.401,384,384,6.36 +convnext_nano_hnf,1047.46,365.815,384,224,15.59 +tf_efficientnet_lite2,1043.72,244.303,256,260,6.09 +legacy_seresnext26_32x4d,1042.93,490.306,512,224,16.79 +regnety_004,1025.72,498.016,512,224,4.34 +resnet32ts,1024.45,249.318,256,256,17.96 +res2net50_48w_2s,1015.98,377.161,384,224,25.29 +tf_efficientnet_b1,1013.9,251.028,256,240,7.79 +tf_efficientnet_b1_ap,1013.6,251.079,256,240,7.79 +tf_efficientnet_b1_ns,1013.45,251.129,256,240,7.79 +resnet33ts,1011.87,252.405,256,256,19.68 +vit_small_resnet26d_224,1011.11,378.737,384,224,63.61 +vovnet39a,996.22,513.329,512,224,22.6 +seresnext26d_32x4d,992.71,386.155,384,224,16.81 +seresnext26tn_32x4d,991.03,386.816,384,224,16.81 +seresnext26t_32x4d,990.93,386.864,384,224,16.81 +legacy_seresnet50,981.61,390.065,384,224,28.09 +efficientnet_em,977.99,260.806,256,240,6.9 +dla46x_c,974.57,524.617,512,224,1.07 +tf_efficientnet_em,973.77,261.927,256,240,6.9 +tf_mixnet_s,968.67,527.275,512,224,4.13 +eca_resnet33ts,964.37,264.809,256,256,19.68 +crossvit_tiny_240,956.47,399.879,384,240,7.01 +seresnet33ts,956.02,266.975,256,256,19.78 +crossvit_9_240,952.71,401.653,384,240,8.55 +efficientnet_b1,949.11,268.27,256,256,7.79 +seresnet50,945.63,404.935,384,224,28.09 +resnetaa50d,943.45,406.185,384,224,25.58 +gluon_resnet50_v1s,943.41,406.213,384,224,25.68 +ecaresnetlight,941.44,542.944,512,224,30.16 +ese_vovnet39b,941.23,543.33,512,224,24.57 +ecaresnext26t_32x4d,941.0,407.528,384,224,15.41 +dla60,940.59,407.297,384,224,22.04 +ecaresnext50t_32x4d,939.56,408.147,384,224,15.41 +eca_vovnet39b,935.89,546.442,512,224,22.6 +convit_tiny,932.74,410.683,384,224,5.71 +gcresnet33ts,930.55,274.114,256,256,19.88 +gmlp_ti16_224,928.92,411.858,384,224,5.87 +crossvit_9_dagger_240,926.84,412.865,384,240,8.78 +cspresnet50,926.15,413.781,384,256,21.62 +vgg11,923.83,554.05,512,224,132.86 +dla60x_c,916.37,557.77,512,224,1.32 +resnetblur50,915.4,418.683,384,224,25.56 +vit_base2_patch32_256,908.46,562.788,512,256,119.46 +ecaresnet50d_pruned,905.82,564.295,512,224,19.94 +rexnetr_200,893.29,213.797,192,224,16.52 +deit_small_patch16_224,893.26,429.034,384,224,22.05 +lambda_resnet26rpt_256,890.56,215.0,192,256,10.99 +vit_small_patch16_224,886.7,432.227,384,224,22.05 +cspresnext50,880.67,435.197,384,224,20.57 +nf_seresnet50,879.83,435.274,384,224,28.09 +cspresnet50w,877.16,436.915,384,256,28.12 +dpn68b,876.72,436.795,384,224,12.61 +selecsls84,869.46,587.629,512,224,50.95 +cspresnet50d,864.94,443.102,384,256,21.64 +hrnet_w18_small_v2,863.89,590.316,512,224,15.6 +deit_small_distilled_patch16_224,862.29,296.032,256,224,22.44 +resnetrs50,858.46,446.055,384,224,35.69 +densenet121,847.31,300.374,256,224,7.98 +seresnet50t,845.39,301.672,256,224,28.1 +tv_densenet121,843.62,301.628,256,224,7.98 +gluon_resnext50_32x4d,836.83,458.055,384,224,25.03 +rexnet_150,836.6,304.881,256,224,9.73 +tv_resnext50_32x4d,834.19,459.519,384,224,25.03 +swsl_resnext50_32x4d,834.14,459.541,384,224,25.03 +ssl_resnext50_32x4d,832.93,460.219,384,224,25.03 +resnext50_32x4d,832.41,460.523,384,224,25.03 +dpn68,829.49,461.803,384,224,12.61 +res2net50_26w_4s,828.02,307.899,256,224,25.7 +vovnet57a,825.25,464.451,384,224,36.64 +resnetblur50d,824.95,309.477,256,224,25.58 +pit_s_224,821.86,310.612,256,224,23.46 +efficientnet_b2_pruned,819.89,310.747,256,260,8.31 +pit_s_distilled_224,815.65,312.988,256,224,24.04 +skresnet50,813.96,313.131,256,224,25.8 +vgg11_bn,808.62,474.647,384,224,132.87 +densenet121d,807.2,315.378,256,224,8.0 +vit_base_resnet26d_224,803.08,476.892,384,224,101.4 +nf_ecaresnet50,802.77,477.356,384,224,25.56 +rexnet_130,798.18,319.593,256,224,7.56 +tf_efficientnet_b2_ap,795.21,239.963,192,260,9.11 +tf_efficientnet_b2,794.4,240.207,192,260,9.11 +regnetx_006,793.57,644.37,512,224,6.2 +tf_efficientnet_b2_ns,792.71,240.732,192,260,9.11 +gcresnet50t,789.8,322.677,256,256,25.9 +regnety_006,787.34,649.188,512,224,6.06 +ese_vovnet57b,786.57,487.301,384,224,38.61 +ecaresnet50d,779.07,327.677,256,224,25.58 +gluon_inception_v3,773.52,495.019,384,299,23.83 +inception_v3,772.81,495.53,384,299,23.83 +tf_inception_v3,770.52,496.982,384,299,23.83 +resnext50d_32x4d,766.06,333.341,256,224,25.05 +res2net50_14w_8s,764.36,332.765,256,224,25.06 +seresnetaa50d,763.26,334.261,256,224,28.11 +resnetv2_101,757.08,336.665,256,224,44.54 +mobilevit_xs,756.94,252.56,192,256,2.32 +resmlp_24_224,756.42,336.919,256,224,30.02 +resmlp_24_distilled_224,756.42,336.97,256,224,30.02 +adv_inception_v3,750.25,510.458,384,299,23.83 +skresnet50d,748.96,340.43,256,224,25.82 +dla60_res2net,743.7,342.834,256,224,20.85 +sehalonet33ts,741.65,344.36,256,256,13.69 +densenetblur121d,741.17,343.605,256,224,8.0 +resnet101,732.48,347.987,256,224,44.55 +gluon_resnet101_v1b,731.78,348.301,256,224,44.55 +efficientnet_b0_gn,728.3,350.425,256,224,5.29 +tv_resnet101,727.94,350.179,256,224,44.55 +efficientnet_b2a,716.29,266.588,192,288,9.11 +nf_resnet50,716.15,535.346,384,288,25.56 +nf_resnet101,716.05,534.647,384,224,44.55 +efficientnet_b2,714.18,267.365,192,288,9.11 +ecaresnet101d_pruned,711.06,718.295,512,224,24.88 +darknet53,702.74,363.511,256,256,41.61 +gluon_resnet101_v1c,701.82,363.226,256,224,44.57 +resnetv2_101d,700.7,363.831,256,224,44.56 +densenet169,700.47,362.977,256,224,14.15 +gluon_seresnext50_32x4d,700.46,364.36,256,224,27.56 +seresnext50_32x4d,699.23,365.027,256,224,27.56 +legacy_seresnext50_32x4d,697.76,365.743,256,224,27.56 +nf_regnet_b0,696.64,733.751,512,256,8.76 +dla60x,692.36,368.785,256,224,17.35 +poolformer_s24,685.09,372.431,256,224,21.39 +gluon_resnet101_v1d,678.31,375.898,256,224,44.57 +efficientnetv2_rw_t,675.19,282.266,192,288,13.65 +vgg13,667.6,575.009,384,224,133.05 +tf_efficientnetv2_b3,665.51,286.721,192,300,14.36 +convnext_tiny_hnf,664.96,384.0,256,224,28.59 +rexnet_200,662.14,288.822,192,224,16.37 +regnety_008,658.96,775.979,512,224,6.26 +wide_resnet50_2,657.26,583.464,384,224,68.88 +vit_small_r26_s32_224,656.89,388.437,256,224,36.43 +sebotnet33ts_256,656.8,194.107,128,256,13.7 +dla102,653.13,390.463,256,224,33.27 +vit_base_resnet50d_224,630.21,404.636,256,224,110.97 +mobilevit_s,629.43,303.928,192,256,5.58 +repvgg_b1,626.12,816.692,512,224,57.42 +gluon_resnet101_v1s,625.12,407.966,256,224,44.67 +resnetaa101d,624.52,408.356,256,224,44.57 +gmixer_24_224,623.55,409.084,256,224,24.72 +ecaresnet26t,622.79,410.514,256,320,16.01 +eca_botnext26ts_256,616.5,414.654,256,256,10.59 +resnext26ts,613.16,625.751,384,256,10.3 +eca_halonext26ts,603.84,423.35,256,256,10.76 +gc_efficientnetv2_rw_t,602.6,315.856,192,288,13.68 +eca_resnext26ts,600.19,425.981,256,256,10.3 +convnext_tiny,596.38,428.309,256,224,28.59 +seresnext26ts,596.22,428.706,256,256,10.39 +coat_lite_tiny,594.48,645.068,384,224,5.72 +regnetx_008,592.44,863.401,512,224,7.26 +semobilevit_s,588.43,325.035,192,256,5.74 +gcresnext26ts,588.04,434.525,256,256,10.48 +mixnet_m,587.11,652.551,384,224,5.01 +resnetv2_50x1_bit_distilled,582.57,328.74,192,224,25.55 +legacy_seresnet101,581.9,437.758,256,224,49.33 +cspdarknet53,581.74,439.027,256,256,27.64 +halonet50ts,578.04,331.194,192,256,22.73 +convnext_tiny_hnfd,577.71,442.141,256,224,28.63 +res2net50_26w_6s,575.17,443.355,256,224,37.05 +vgg13_bn,572.41,446.96,256,224,133.05 +resnetblur101d,571.53,446.389,256,224,44.57 +seresnet101,569.61,447.279,256,224,49.33 +xcit_small_12_p16_224,569.05,448.106,256,224,26.25 +coat_lite_mini,568.16,675.001,384,224,11.01 +xcit_small_12_p16_224_dist,566.71,449.975,256,224,26.25 +efficientnet_lite3,563.82,225.962,128,300,8.2 +tf_efficientnet_lite3,561.43,226.92,128,300,8.2 +tf_mixnet_m,548.78,698.227,384,224,5.01 +gluon_resnext101_32x4d,548.42,465.243,256,224,44.18 +swsl_resnext101_32x4d,547.31,466.21,256,224,44.18 +xcit_tiny_24_p16_224_dist,547.0,464.738,256,224,12.12 +ssl_resnext101_32x4d,546.67,466.798,256,224,44.18 +resnext101_32x4d,545.9,467.45,256,224,44.18 +xcit_tiny_24_p16_224,544.31,466.994,256,224,12.12 +densenet201,543.07,350.641,192,224,20.01 +vgg16,540.58,710.12,384,224,138.36 +twins_svt_small,538.2,474.088,256,224,24.06 +bat_resnext26ts,534.44,477.847,256,256,10.73 +mixer_b16_224_miil,533.51,479.062,256,224,59.88 +mixer_b16_224,533.49,479.056,256,224,59.88 +nf_seresnet101,527.72,482.805,256,224,49.33 +resnetv2_152,524.88,485.535,256,224,60.19 +gmlp_s16_224,524.3,364.698,192,224,19.42 +crossvit_small_240,523.32,365.287,192,240,26.86 +res2net101_26w_4s,521.59,365.626,192,224,45.21 +botnet50ts_256,517.93,246.212,128,256,22.74 +efficientnet_b3_pruned,516.58,493.917,256,300,9.86 +vit_base_r26_s32_224,515.2,371.411,192,224,101.38 +nf_regnet_b3,513.91,496.324,256,320,18.59 +res2next50,505.83,504.834,256,224,24.67 +dla102x,504.27,379.22,192,224,26.31 +xcit_nano_12_p16_384_dist,504.22,505.947,256,384,3.05 +resnet50_gn,503.53,380.489,192,224,25.56 +mixnet_l,503.2,507.181,256,224,7.33 +resnet152,499.49,382.202,192,224,60.19 +gluon_resnet152_v1b,499.26,382.341,192,224,60.19 +resmlp_36_224,498.84,382.725,192,224,44.69 +tv_resnet152,497.88,383.389,192,224,60.19 +mixer_l32_224,496.73,385.058,192,224,206.94 +resmlp_36_distilled_224,495.13,385.629,192,224,44.69 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+tf_efficientnet_b3,389.49,327.004,128,300,12.23 +legacy_seresnet152,389.45,489.771,192,224,66.82 +tf_efficientnet_b3_ap,388.84,327.542,128,300,12.23 +tf_efficientnet_b3_ns,388.78,327.565,128,300,12.23 +xcit_nano_12_p8_224_dist,387.21,659.394,256,224,3.05 +convnext_small,384.54,497.552,192,224,50.22 +xcit_nano_12_p8_224,384.13,664.719,256,224,3.05 +regnetx_016,380.23,1345.67,512,224,9.19 +swin_v2_cr_tiny_224,379.31,504.955,192,224,28.33 +repvgg_b2,378.58,1351.362,512,224,89.02 +densenet161,378.04,336.272,128,224,28.68 +haloregnetz_b,373.44,684.066,256,224,11.68 +seresnet152,368.67,343.988,128,224,66.82 +volo_d1_224,368.14,346.356,128,224,26.63 +dla102x2,362.23,351.833,128,224,41.28 +swin_v2_cr_tiny_ns_224,361.82,529.379,192,224,28.33 +vit_base_patch16_224_miil,361.72,353.077,128,224,86.54 +nest_tiny,360.72,353.977,128,224,17.06 +gluon_resnext101_64x4d,360.58,353.482,128,224,83.46 +jx_nest_tiny,360.01,354.671,128,224,17.06 +wide_resnet101_2,358.04,534.717,192,224,126.89 +deit_base_patch16_224,356.6,358.132,128,224,86.57 +vit_base_patch16_224,355.86,358.875,128,224,86.57 +vit_base_patch16_224_sam,355.66,359.078,128,224,86.57 +resnet200,355.09,357.637,128,224,64.67 +regnety_016,353.22,1447.724,512,224,11.2 +xception41p,353.13,361.611,128,299,26.91 +deit_base_distilled_patch16_224,352.06,362.734,128,224,87.34 +efficientnet_b3a,350.83,363.194,128,320,12.23 +efficientnet_b3,350.78,363.262,128,320,12.23 +resnest14d,349.46,1464.67,512,224,10.61 +crossvit_18_240,347.41,366.517,128,240,43.27 +hrnet_w30,347.21,732.586,256,224,37.71 +inception_resnet_v2,342.0,558.107,192,299,55.84 +ens_adv_inception_resnet_v2,341.96,558.12,192,299,55.84 +crossvit_18_dagger_240,338.55,376.059,128,240,44.27 +efficientnet_lite4,334.77,189.845,64,380,13.01 +dpn92,332.74,767.899,256,224,37.67 +nf_regnet_b1,332.08,1540.325,512,288,10.22 +coat_lite_small,330.21,579.992,192,224,19.84 +resnet101d,329.64,386.792,128,320,44.57 +mixnet_xl,327.95,583.611,192,224,11.9 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+xcit_small_24_p16_224_dist,289.62,438.649,128,224,47.67 +xcit_small_24_p16_224,289.57,438.594,128,224,47.67 +regnetz_005,289.37,1767.969,512,224,7.12 +pit_b_distilled_224,289.24,330.966,96,224,74.79 +nf_regnet_b2,283.49,1804.47,512,272,14.31 +dpn98,282.57,451.401,128,224,61.57 +gluon_xception65,280.65,340.128,96,299,39.92 +convnext_base,280.05,455.331,128,224,88.59 +convnext_base_in22ft1k,278.55,457.745,128,224,88.59 +convnext_small_in22ft1k,278.52,457.835,128,224,88.59 +resnet51q,278.38,688.843,192,288,35.7 +convnext_tiny_in22ft1k,278.23,458.306,128,224,88.59 +xception65,278.17,343.202,96,299,39.92 +nf_regnet_b4,276.19,461.347,128,384,30.21 +xcit_tiny_12_p8_224,275.08,463.559,128,224,6.71 +xcit_tiny_12_p8_224_dist,274.14,465.135,128,224,6.71 +xception65p,273.65,466.496,128,299,39.82 +cait_s24_224,273.57,465.435,128,224,46.92 +hrnet_w48,266.71,475.16,128,224,77.47 +vit_small_patch16_18x2_224,263.99,482.238,128,224,64.67 +vit_small_patch16_36x1_224,259.67,367.102,96,224,64.67 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