From d7b55a9429f3d56a991e604cbc2e9fdf1901612f Mon Sep 17 00:00:00 2001
From: Ross Wightman <rwightman@gmail.com>
Date: Fri, 22 Jul 2022 12:12:37 -0700
Subject: [PATCH] Add gmacs and macts columns to inference benchmark (missed
 profile in initial run)

---
 ...ark-infer-amp-nchw-pt112-cu113-rtx3090.csv | 1676 ++++++++---------
 ...ark-infer-amp-nhwc-pt112-cu113-rtx3090.csv | 1670 ++++++++--------
 2 files changed, 1673 insertions(+), 1673 deletions(-)

diff --git a/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
index 2717e61e..2da5d142 100644
--- a/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
@@ -1,838 +1,838 @@
-model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
-tinynet_e,49285.12,20.767,1024,106,2.04
-mobilenetv3_small_050,43905.96,23.312,1024,224,1.59
-lcnet_035,40961.84,24.988,1024,224,1.64
-lcnet_050,36451.18,28.081,1024,224,1.88
-mobilenetv3_small_075,32291.57,31.7,1024,224,2.04
-mobilenetv3_small_100,28935.54,35.379,1024,224,2.54
-tf_mobilenetv3_small_minimal_100,27926.5,36.657,1024,224,2.04
-tinynet_d,27303.88,37.493,1024,152,2.34
-tf_mobilenetv3_small_075,26850.04,38.127,1024,224,2.04
-tf_mobilenetv3_small_100,24320.21,42.094,1024,224,2.54
-lcnet_075,22627.19,45.245,1024,224,2.36
-mnasnet_small,20150.91,50.806,1024,224,2.03
-levit_128s,19458.78,52.613,1024,224,7.78
-lcnet_100,18910.66,54.139,1024,224,2.95
-mobilenetv2_035,18047.72,56.728,1024,224,1.68
-regnetx_002,17921.55,57.126,1024,224,2.68
-regnety_002,16656.92,61.462,1024,224,3.16
-ghostnet_050,16494.57,62.071,1024,224,2.59
-mnasnet_050,15574.97,65.736,1024,224,2.22
-mobilenetv2_050,14533.98,70.445,1024,224,1.97
-tinynet_c,14397.76,71.111,1024,184,2.46
-semnasnet_050,14065.61,72.79,1024,224,2.08
-levit_128,13348.5,76.702,1024,224,9.21
-vit_small_patch32_224,12899.41,79.373,1024,224,22.88
-mixer_s32_224,12823.61,79.842,1024,224,19.1
-lcnet_150,12599.24,81.264,1024,224,4.5
-regnetx_004,12314.46,83.141,1024,224,5.16
-cs3darknet_focus_s,11852.98,86.381,1024,256,3.27
-mobilenetv3_large_075,11687.27,87.605,1024,224,3.99
-resnet10t,11549.51,88.651,1024,224,5.44
-cs3darknet_s,11540.93,88.716,1024,256,3.28
-vit_tiny_r_s16_p8_224,10917.33,93.785,1024,224,6.34
-ese_vovnet19b_slim_dw,10530.7,97.229,1024,224,1.9
-mobilenetv3_rw,10453.43,97.947,1024,224,5.48
-hardcorenas_a,10387.47,98.569,1024,224,5.26
-mobilenetv3_large_100_miil,10298.68,99.419,1024,224,5.48
-mobilenetv3_large_100,10295.13,99.453,1024,224,5.48
-tf_mobilenetv3_large_075,10277.2,99.627,1024,224,3.99
-gernet_s,10228.24,100.105,1024,224,8.17
-mnasnet_075,10209.23,100.29,1024,224,3.17
-levit_192,10099.95,101.375,1024,224,10.95
-tf_mobilenetv3_large_minimal_100,10021.88,102.166,1024,224,3.92
-hardcorenas_b,9469.88,108.121,1024,224,5.18
-regnetx_006,9309.45,109.982,1024,224,6.2
-tinynet_b,9298.6,110.113,1024,188,3.73
-regnety_004,9296.36,110.137,1024,224,4.34
-ghostnet_100,9264.87,110.513,1024,224,5.18
-hardcorenas_c,9196.31,111.338,1024,224,5.52
-resnet18,9171.4,111.64,1024,224,11.69
-tf_mobilenetv3_large_100,9170.64,111.649,1024,224,5.48
-mobilenetv2_075,9151.72,111.88,1024,224,2.64
-swsl_resnet18,9145.07,111.962,1024,224,11.69
-mnasnet_100,9128.95,112.159,1024,224,4.38
-mnasnet_b1,9096.68,112.558,1024,224,4.38
-gluon_resnet18_v1b,9092.93,112.604,1024,224,11.69
-ssl_resnet18,9043.33,113.221,1024,224,11.69
-semnasnet_075,8958.16,114.297,1024,224,2.91
-hardcorenas_d,8756.1,116.935,1024,224,7.5
-seresnet18,8678.54,117.981,1024,224,11.78
-regnety_006,8404.01,121.832,1024,224,6.06
-mobilenetv2_100,8360.81,122.466,1024,224,3.5
-legacy_seresnet18,8318.12,123.094,1024,224,11.78
-spnasnet_100,8246.33,124.165,1024,224,4.42
-semnasnet_100,8027.18,127.555,1024,224,3.89
-mnasnet_a1,8013.14,127.779,1024,224,3.89
-levit_256,7862.24,130.228,1024,224,18.89
-resnet18d,7721.04,132.614,1024,224,11.71
-hardcorenas_f,7642.68,133.973,1024,224,8.2
-hardcorenas_e,7588.05,134.938,1024,224,8.07
-ese_vovnet19b_slim,7530.8,135.964,1024,224,3.17
-efficientnet_lite0,7530.79,135.964,1024,224,4.65
-ghostnet_130,7411.84,138.146,1024,224,7.36
-regnetx_008,7376.89,138.798,1024,224,7.26
-tinynet_a,7260.16,141.032,1024,192,6.19
-tf_efficientnetv2_b0,7117.22,143.865,1024,224,7.14
-fbnetc_100,7115.49,143.899,1024,224,5.57
-regnety_008,7108.36,144.037,1024,224,6.26
-xcit_nano_12_p16_224_dist,7019.86,145.861,1024,224,3.05
-xcit_nano_12_p16_224,7000.29,146.268,1024,224,3.05
-edgenext_xx_small,6963.01,147.05,1024,256,1.33
-levit_256d,6856.41,149.338,1024,224,26.21
-deit_tiny_patch16_224,6794.46,150.698,1024,224,5.72
-vit_tiny_patch16_224,6769.81,151.248,1024,224,5.72
-tf_efficientnet_lite0,6667.82,153.562,1024,224,4.65
-deit_tiny_distilled_patch16_224,6647.4,154.032,1024,224,5.91
-efficientnet_b0,6576.16,155.702,1024,224,5.29
-dla46_c,6538.59,156.596,1024,224,1.3
-rexnetr_100,6369.79,160.748,1024,224,4.88
-mnasnet_140,6297.39,162.595,1024,224,7.12
-rexnet_100,6295.89,162.634,1024,224,4.8
-efficientnet_b1_pruned,6269.62,163.315,1024,240,6.33
-mobilenetv2_110d,6263.44,163.477,1024,224,4.52
-regnetz_005,6057.27,169.042,1024,224,7.12
-resnetblur18,6056.25,169.07,1024,224,11.69
-pit_ti_distilled_224,6026.49,169.903,1024,224,5.1
-pit_ti_224,5988.08,170.993,1024,224,4.85
-nf_regnet_b0,5936.35,172.485,1024,256,8.76
-mobilevitv2_050,5906.65,173.353,1024,256,1.37
-tf_efficientnet_b0_ap,5894.61,173.707,1024,224,5.29
-tf_efficientnet_b0,5892.32,173.774,1024,224,5.29
-tf_efficientnet_b0_ns,5891.52,173.799,1024,224,5.29
-visformer_tiny,5845.93,175.153,1024,224,10.32
-resnet14t,5834.5,175.495,1024,224,10.08
-dla46x_c,5690.98,179.922,1024,224,1.07
-skresnet18,5640.2,181.543,1024,224,11.96
-semnasnet_140,5544.22,184.685,1024,224,6.11
-hrnet_w18_small,5451.81,187.816,1024,224,13.19
-mobilenetv2_140,5399.1,189.649,1024,224,6.11
-resnet34,5356.43,191.161,1024,224,21.8
-dla60x_c,5292.02,193.487,1024,224,1.32
-mobilevit_xxs,5275.05,194.109,1024,256,1.27
-ese_vovnet19b_dw,5260.83,194.634,1024,224,6.54
-gluon_resnet34_v1b,5203.76,196.769,1024,224,21.8
-tv_resnet34,5193.55,197.156,1024,224,21.8
-efficientnet_lite1,5144.81,199.024,1024,240,5.42
-mixnet_s,5054.78,202.566,1024,224,4.13
-seresnet34,5051.53,202.699,1024,224,21.96
-gernet_m,5028.39,203.632,1024,224,21.14
-fbnetv3_b,4982.49,205.508,1024,256,8.6
-selecsls42,4945.53,207.043,1024,224,30.35
-selecsls42b,4942.3,207.179,1024,224,32.46
-vit_base_patch32_224_sam,4921.3,208.063,1024,224,88.22
-vit_base_patch32_224,4918.17,208.197,1024,224,88.22
-resnet34d,4834.03,211.82,1024,224,21.82
-rexnetr_130,4789.2,213.803,1024,224,7.61
-pit_xs_224,4766.56,214.816,1024,224,10.62
-tf_efficientnetv2_b1,4738.51,216.09,1024,240,8.14
-legacy_seresnet34,4737.15,216.152,1024,224,21.96
-pit_xs_distilled_224,4722.37,216.826,1024,224,11.0
-mixer_b32_224,4707.3,217.523,1024,224,60.29
-tf_mixnet_s,4706.57,217.551,1024,224,4.13
-tf_efficientnet_lite1,4662.36,219.62,1024,240,5.42
-xcit_tiny_12_p16_224_dist,4593.26,222.924,1024,224,6.72
-xcit_tiny_12_p16_224,4592.09,222.979,1024,224,6.72
-rexnet_130,4578.43,223.646,1024,224,7.56
-levit_384,4538.82,225.597,1024,224,39.13
-mobilenetv2_120d,4530.56,226.009,1024,224,5.83
-edgenext_x_small,4436.58,230.795,1024,256,2.34
-cs3darknet_focus_m,4399.27,232.755,1024,288,9.3
-efficientnet_b0_g16_evos,4394.3,233.017,1024,224,8.11
-efficientnet_es,4389.85,233.253,1024,224,5.44
-efficientnet_es_pruned,4389.6,233.266,1024,224,5.44
-resnet26,4383.27,233.604,1024,224,16.0
-cs3darknet_m,4330.89,236.429,1024,288,9.31
-fbnetv3_d,4328.59,236.555,1024,256,10.31
-repvgg_b0,4286.85,238.858,1024,224,15.82
-selecsls60,4286.11,238.899,1024,224,30.67
-darknet17,4270.14,179.843,768,256,14.3
-selecsls60b,4265.59,240.05,1024,224,32.77
-efficientnet_b2_pruned,4264.69,240.099,1024,260,8.31
-tf_efficientnet_es,4239.07,241.551,1024,224,5.44
-regnetx_016,4196.72,243.986,1024,224,9.19
-rexnetr_150,4170.12,245.545,1024,224,9.78
-crossvit_tiny_240,4122.19,248.4,1024,240,7.01
-dla34,4120.09,248.525,1024,224,15.74
-mixer_s16_224,4085.83,250.611,1024,224,18.53
-vit_small_patch32_384,4015.79,254.982,1024,384,22.92
-rexnet_150,3990.72,256.583,1024,224,9.73
-resnet26d,3989.2,256.681,1024,224,16.01
-ecaresnet50d_pruned,3983.23,257.066,1024,224,19.94
-efficientnet_lite2,3977.91,257.41,1024,260,6.09
-gmlp_ti16_224,3944.3,259.603,1024,224,5.87
-mobilevitv2_075,3905.27,262.199,1024,256,2.87
-crossvit_9_240,3875.46,264.215,1024,240,8.55
-darknet21,3872.25,198.322,768,256,20.86
-nf_resnet26,3857.21,265.465,1024,224,16.0
-convnext_nano_ols,3756.44,272.585,1024,224,15.6
-convnext_nano_hnf,3749.56,273.084,1024,224,15.59
-sedarknet21,3744.18,205.107,768,256,20.95
-efficientnet_b1,3742.67,273.59,1024,256,7.79
-crossvit_9_dagger_240,3734.14,274.215,1024,240,8.78
-tf_efficientnet_b1,3731.51,274.409,1024,240,7.79
-tf_efficientnet_b1_ns,3731.48,274.411,1024,240,7.79
-tf_efficientnet_b1_ap,3726.19,274.8,1024,240,7.79
-resnest14d,3644.88,280.93,1024,224,10.61
-regnety_016,3624.55,282.503,1024,224,11.2
-tf_efficientnet_lite2,3624.06,282.543,1024,260,6.09
-vit_tiny_r_s16_p8_384,3594.94,213.622,768,384,6.36
-tf_efficientnetv2_b2,3593.98,284.91,1024,260,10.1
-poolformer_s12,3483.41,293.951,1024,224,11.92
-resmlp_12_224,3460.87,295.868,1024,224,15.35
-resmlp_12_distilled_224,3458.54,296.067,1024,224,15.35
-mixnet_m,3455.23,296.35,1024,224,5.01
-gmixer_12_224,3401.29,301.051,1024,224,12.7
-resnext26ts,3375.26,303.371,1024,256,10.3
-nf_ecaresnet26,3365.9,304.215,1024,224,16.0
-nf_seresnet26,3360.23,304.729,1024,224,17.4
-gernet_l,3328.59,307.626,1024,256,31.08
-repvgg_a2,3325.03,307.955,1024,224,28.21
-tf_mixnet_m,3322.0,308.236,1024,224,5.01
-efficientnet_b3_pruned,3297.4,310.535,1024,300,9.86
-nf_regnet_b1,3293.07,310.944,1024,288,10.22
-seresnext26ts,3291.26,311.115,1024,256,10.39
-eca_resnext26ts,3290.56,311.182,1024,256,10.3
-legacy_seresnext26_32x4d,3269.09,313.225,1024,224,16.79
-skresnet34,3229.96,317.02,1024,224,22.28
-gcresnext26ts,3229.79,317.037,1024,256,10.48
-nf_regnet_b2,3193.49,320.64,1024,272,14.31
-convit_tiny,3179.42,322.058,1024,224,5.71
-resnet26t,3149.41,325.128,1024,256,16.01
-rexnetr_200,3135.78,244.904,768,224,16.52
-ecaresnet101d_pruned,3129.51,327.195,1024,224,24.88
-seresnext26tn_32x4d,3050.2,335.704,1024,224,16.81
-seresnext26t_32x4d,3050.01,335.724,1024,224,16.81
-ecaresnext50t_32x4d,3049.83,335.744,1024,224,15.41
-ecaresnext26t_32x4d,3048.36,335.905,1024,224,15.41
-seresnext26d_32x4d,3037.9,337.063,1024,224,16.81
-deit_small_patch16_224,3002.36,341.052,1024,224,22.05
-rexnet_200,3001.86,255.828,768,224,16.37
-vit_small_patch16_224,3000.37,341.279,1024,224,22.05
-mobilevit_xs,2981.72,257.559,768,256,2.32
-deit_small_distilled_patch16_224,2950.87,347.001,1024,224,22.44
-pit_s_224,2945.22,347.668,1024,224,23.46
-ecaresnetlight,2941.7,348.085,1024,224,30.16
-coat_lite_tiny,2932.4,349.189,1024,224,5.72
-eca_botnext26ts_256,2930.99,349.358,1024,256,10.59
-pit_s_distilled_224,2918.75,350.821,1024,224,24.04
-tf_efficientnet_b2_ns,2903.13,352.71,1024,260,9.11
-tf_efficientnet_b2,2902.67,352.766,1024,260,9.11
-tf_efficientnet_b2_ap,2901.98,352.851,1024,260,9.11
-eca_halonext26ts,2883.09,355.163,1024,256,10.76
-tresnet_m,2870.7,356.694,1024,224,31.39
-botnet26t_256,2862.72,357.688,1024,256,12.49
-regnetx_032,2852.1,359.019,1024,224,15.3
-hrnet_w18_small_v2,2845.04,359.912,1024,224,15.6
-deit3_small_patch16_224_in21ft1k,2837.48,360.868,1024,224,22.06
-halonet26t,2832.73,361.477,1024,256,12.48
-resnetv2_50,2829.74,361.858,1024,224,25.55
-deit3_small_patch16_224,2828.59,362.004,1024,224,22.06
-vgg11,2795.7,183.125,512,224,132.86
-haloregnetz_b,2794.73,366.391,1024,224,11.68
-bat_resnext26ts,2793.93,366.495,1024,256,10.73
-vit_relpos_base_patch32_plus_rpn_256,2775.87,368.882,1024,256,119.42
-vit_base_patch32_plus_256,2773.66,369.174,1024,256,119.48
-dpn68b,2762.53,370.662,1024,224,12.61
-vit_small_resnet26d_224,2758.05,371.264,1024,224,63.61
-efficientnet_b2,2753.12,371.929,1024,288,9.11
-coat_lite_mini,2752.31,372.037,1024,224,11.01
-efficientnet_b2a,2752.1,372.068,1024,288,9.11
-efficientnet_b0_gn,2748.63,372.536,1024,224,5.29
-resnet50,2733.34,374.621,1024,224,25.56
-ssl_resnet50,2732.73,374.705,1024,224,25.56
-tv_resnet50,2732.0,374.804,1024,224,25.56
-gluon_resnet50_v1b,2731.92,374.815,1024,224,25.56
-swsl_resnet50,2730.89,374.957,1024,224,25.56
-cspresnet50,2720.51,376.385,1024,256,21.62
-resnet32ts,2719.03,376.593,1024,256,17.96
-dpn68,2711.28,377.669,1024,224,12.61
-mobilevitv2_100,2710.59,283.322,768,256,4.9
-vovnet39a,2706.48,378.339,1024,224,22.6
-resnetv2_50t,2687.6,380.997,1024,224,25.57
-resnet33ts,2683.32,381.605,1024,256,19.68
-resnetv2_50d,2678.25,382.327,1024,224,25.57
-efficientnet_em,2663.14,384.496,1024,240,6.9
-mixnet_l,2651.17,289.672,768,224,7.33
-visformer_small,2638.82,388.04,1024,224,40.22
-ese_vovnet39b,2631.4,389.135,1024,224,24.57
-resnest26d,2624.21,390.2,1024,224,17.07
-vit_relpos_small_patch16_224,2615.53,391.496,1024,224,21.98
-seresnet33ts,2613.57,391.79,1024,256,19.78
-eca_resnet33ts,2609.68,392.373,1024,256,19.68
-vit_srelpos_small_patch16_224,2607.7,392.67,1024,224,21.97
-eca_vovnet39b,2607.14,392.755,1024,224,22.6
-gluon_resnet50_v1c,2599.91,393.848,1024,224,25.58
-tf_efficientnet_em,2599.16,393.961,1024,240,6.9
-cspresnet50w,2589.44,395.44,1024,256,28.12
-resnet50d,2584.02,396.27,1024,224,25.58
-legacy_seresnet50,2582.34,396.527,1024,224,28.09
-resnet50t,2580.37,396.829,1024,224,25.57
-twins_svt_small,2576.63,397.407,1024,224,24.06
-gluon_resnet50_v1d,2570.89,398.293,1024,224,25.58
-gcresnet33ts,2569.2,398.556,1024,256,19.88
-cspresnet50d,2560.0,399.988,1024,256,21.64
-lambda_resnet26t,2551.69,401.29,1024,256,10.96
-tf_mixnet_l,2550.79,301.072,768,224,7.33
-selecsls84,2543.3,402.613,1024,224,50.95
-vgg11_bn,2541.42,201.45,512,224,132.87
-dla60,2525.2,405.498,1024,224,22.04
-cs3darknet_focus_l,2520.03,406.331,1024,288,21.15
-res2net50_48w_2s,2502.4,409.196,1024,224,25.29
-cs3darknet_l,2485.99,411.896,1024,288,21.16
-densenet121,2467.71,414.945,1024,224,7.98
-xcit_nano_12_p16_384_dist,2466.74,415.111,1024,384,3.05
-xcit_tiny_24_p16_224_dist,2463.21,415.705,1024,224,12.12
-tv_densenet121,2461.4,416.011,1024,224,7.98
-xcit_tiny_24_p16_224,2457.2,416.72,1024,224,12.12
-seresnet50,2438.84,419.859,1024,224,28.09
-convnext_tiny_hnfd,2399.93,426.664,1024,224,28.59
-convnext_tiny_hnf,2395.62,427.433,1024,224,28.59
-efficientnet_lite3,2383.15,214.83,512,300,8.2
-efficientnet_b0_g8_gn,2375.8,431.002,1024,224,6.56
-convnext_tiny_in22ft1k,2362.17,433.485,1024,224,28.59
-densenet121d,2362.07,433.503,1024,224,8.0
-convnext_tiny,2359.72,433.936,1024,224,28.59
-cs3sedarknet_l,2353.08,435.161,1024,288,21.91
-resnetaa50d,2350.26,435.685,1024,224,25.58
-efficientnet_cc_b0_4e,2334.0,438.721,1024,224,13.31
-seresnet50t,2333.68,438.78,1024,224,28.1
-ecaresnet50d,2316.33,442.066,1024,224,25.58
-resnetblur50,2298.66,445.465,1024,224,25.56
-mobilevit_s,2279.76,336.866,768,256,5.58
-resnetrs50,2276.18,449.864,1024,224,35.69
-vit_base_resnet26d_224,2262.15,452.654,1024,224,101.4
-gluon_resnet50_v1s,2257.16,453.655,1024,224,25.68
-vovnet57a,2253.6,454.372,1024,224,36.64
-adv_inception_v3,2250.27,455.041,1024,299,23.83
-gluon_inception_v3,2249.35,455.229,1024,299,23.83
-tf_inception_v3,2245.22,456.064,1024,299,23.83
-tf_efficientnet_cc_b0_4e,2243.01,456.518,1024,224,13.31
-inception_v3,2240.78,456.965,1024,299,23.83
-tf_efficientnet_cc_b0_8e,2240.71,456.986,1024,224,24.01
-densenetblur121d,2235.56,458.037,1024,224,8.0
-resnest50d_1s4x24d,2213.57,462.589,1024,224,25.68
-res2net50_26w_4s,2209.54,463.432,1024,224,25.7
-ssl_resnext50_32x4d,2205.13,464.359,1024,224,25.03
-swsl_resnext50_32x4d,2204.8,464.429,1024,224,25.03
-gluon_resnext50_32x4d,2203.2,464.765,1024,224,25.03
-resnext50_32x4d,2199.44,465.561,1024,224,25.03
-tv_resnext50_32x4d,2198.23,465.818,1024,224,25.03
-regnetx_040,2190.95,467.362,1024,224,22.12
-cspresnext50,2182.4,469.194,1024,256,20.57
-resnetblur50d,2182.09,469.263,1024,224,25.58
-regnetz_b16,2180.8,469.54,1024,288,9.72
-ese_vovnet57b,2171.57,471.535,1024,224,38.61
-tf_efficientnet_lite3,2166.77,236.285,512,300,8.2
-mobilevitv2_125,2151.63,356.926,768,256,7.48
-efficientnet_cc_b0_8e,2149.58,476.36,1024,224,24.01
-semobilevit_s,2143.19,358.331,768,256,5.74
-twins_pcpvt_small,2142.01,478.043,1024,224,24.11
-nf_regnet_b3,2133.81,479.88,1024,320,18.59
-tf_efficientnetv2_b3,2121.62,482.639,1024,300,14.36
-seresnetaa50d,2118.99,483.236,1024,224,28.11
-efficientnetv2_rw_t,2117.33,483.616,1024,288,13.65
-gcresnext50ts,2113.73,484.438,1024,256,15.67
-edgenext_small,2107.47,485.876,1024,320,5.59
-resnext50d_32x4d,2094.1,488.98,1024,224,25.05
-dla60x,2080.97,492.062,1024,224,17.35
-res2net50_14w_8s,2066.79,495.441,1024,224,25.06
-gc_efficientnetv2_rw_t,2061.37,496.743,1024,288,13.68
-sehalonet33ts,2057.14,373.322,768,256,13.69
-gcresnet50t,2055.89,498.068,1024,256,25.9
-skresnet50,2048.81,499.79,1024,224,25.8
-fbnetv3_g,2047.87,500.019,1024,288,16.62
-nf_ecaresnet50,2039.26,502.129,1024,224,25.56
-nf_seresnet50,2037.45,502.576,1024,224,28.09
-cs3darknet_focus_x,2026.01,505.415,1024,256,35.02
-dla60_res2net,2015.55,508.035,1024,224,20.85
-lambda_resnet26rpt_256,2015.24,190.536,384,256,10.99
-seresnext50_32x4d,2010.4,509.339,1024,224,27.56
-legacy_seresnext50_32x4d,2003.57,511.076,1024,224,27.56
-repvgg_b1g4,2003.2,511.169,1024,224,39.97
-gluon_seresnext50_32x4d,2002.45,511.358,1024,224,27.56
-densenet169,1987.41,515.228,1024,224,14.15
-res2next50,1967.78,520.369,1024,224,24.67
-vit_relpos_small_patch16_rpn_224,1966.99,520.579,1024,224,21.97
-skresnet50d,1957.14,523.201,1024,224,25.82
-xcit_small_12_p16_224_dist,1952.72,524.382,1024,224,26.25
-crossvit_small_240,1952.54,524.431,1024,240,26.86
-xcit_small_12_p16_224,1952.1,524.55,1024,224,26.25
-cs3sedarknet_xdw,1919.73,533.397,1024,256,21.6
-swin_tiny_patch4_window7_224,1915.52,534.569,1024,224,28.29
-vit_relpos_medium_patch16_cls_224,1909.56,536.236,1024,224,38.76
-mixnet_xl,1903.31,268.993,512,224,11.9
-dla60_res2next,1893.19,540.873,1024,224,17.03
-xcit_nano_12_p8_224_dist,1887.0,542.649,1024,224,3.05
-xcit_nano_12_p8_224,1883.21,543.74,1024,224,3.05
-cspdarknet53,1881.33,408.211,768,256,27.64
-gmlp_s16_224,1873.82,546.464,1024,224,19.42
-edgenext_small_rw,1831.96,558.95,1024,320,7.83
-ecaresnet26t,1828.87,559.898,1024,320,16.01
-vit_small_r26_s32_224,1825.94,560.792,1024,224,36.43
-vgg13,1819.73,281.346,512,224,133.05
-poolformer_s24,1804.4,567.487,1024,224,21.39
-crossvit_15_240,1799.06,569.173,1024,240,27.53
-vit_relpos_medium_patch16_224,1794.09,570.75,1024,224,38.75
-vit_srelpos_medium_patch16_224,1787.05,573.0,1024,224,38.74
-mobilevitv2_150,1774.77,288.477,512,256,10.59
-mobilevitv2_150_in22ft1k,1773.43,288.695,512,256,10.59
-sebotnet33ts_256,1762.47,217.864,384,256,13.7
-resmlp_24_224,1761.92,581.171,1024,224,30.02
-efficientnet_b3,1761.71,290.615,512,320,12.23
-efficientnet_b3a,1761.71,290.614,512,320,12.23
-resmlp_24_distilled_224,1760.69,581.576,1024,224,30.02
-regnetx_064,1757.88,436.877,768,224,26.21
-resnest50d,1750.78,584.87,1024,224,27.48
-gmixer_24_224,1741.35,588.036,1024,224,24.72
-swin_s3_tiny_224,1737.42,589.369,1024,224,28.33
-crossvit_15_dagger_240,1736.98,589.517,1024,240,28.21
-vit_base_resnet50d_224,1722.65,594.42,1024,224,110.97
-resnetv2_101,1717.18,596.314,1024,224,44.54
-tf_efficientnet_b3_ap,1706.97,299.935,512,300,12.23
-tf_efficientnet_b3,1705.74,300.151,512,300,12.23
-tf_efficientnet_b3_ns,1705.51,300.191,512,300,12.23
-lambda_resnet50ts,1694.68,604.231,1024,256,21.54
-dla102,1693.75,604.56,1024,224,33.27
-darknetaa53,1689.16,454.651,768,288,36.02
-gluon_resnet101_v1b,1679.75,609.599,1024,224,44.55
-tv_resnet101,1679.18,609.808,1024,224,44.55
-resnet101,1676.67,610.719,1024,224,44.55
-repvgg_b1,1663.53,615.546,1024,224,57.42
-resnetv2_101d,1653.14,619.414,1024,224,44.56
-gluon_resnet101_v1c,1649.02,620.96,1024,224,44.57
-vgg13_bn,1642.15,311.774,512,224,133.05
-cait_xxs24_224,1641.65,623.749,1024,224,11.96
-res2net50_26w_6s,1639.34,624.627,1024,224,37.05
-hrnet_w18,1631.65,627.569,1024,224,21.3
-vit_large_patch32_224,1623.29,630.805,1024,224,306.54
-wide_resnet50_2,1618.04,632.851,1024,224,68.88
-gluon_resnet101_v1d,1616.88,633.307,1024,224,44.57
-xcit_tiny_12_p16_384_dist,1614.06,634.414,1024,384,6.72
-regnetv_040,1604.78,478.557,768,288,20.64
-halonet50ts,1600.56,639.764,1024,256,22.73
-regnety_040,1597.66,480.688,768,288,20.65
-darknet53,1585.01,484.528,768,288,41.61
-efficientnet_cc_b1_8e,1576.34,649.593,1024,240,39.72
-coat_lite_small,1576.03,649.72,1024,224,19.84
-regnety_032,1576.03,649.722,1024,288,19.44
-resnetv2_50x1_bit_distilled,1575.9,649.775,1024,224,25.55
-swinv2_cr_tiny_224,1574.62,650.304,1024,224,28.33
-legacy_seresnet101,1569.43,652.454,1024,224,49.33
-vit_base_patch32_384,1551.76,659.885,1024,384,88.3
-ese_vovnet39b_evos,1551.37,660.05,1024,224,24.58
-swinv2_cr_tiny_ns_224,1546.02,662.33,1024,224,28.33
-vit_tiny_patch16_384,1542.96,663.648,1024,384,5.79
-lamhalobotnet50ts_256,1533.2,667.873,1024,256,22.57
-tf_efficientnet_cc_b1_8e,1527.24,670.479,1024,240,39.72
-resnetaa101d,1521.49,673.009,1024,224,44.57
-densenet201,1515.85,675.514,1024,224,20.01
-resnetaa50,1510.7,677.817,1024,288,25.56
-mixer_l32_224,1508.54,678.791,1024,224,206.94
-seresnet101,1502.48,681.526,1024,224,49.33
-vit_base_r26_s32_224,1492.4,686.129,1024,224,101.38
-gluon_resnet101_v1s,1485.37,689.375,1024,224,44.67
-twins_pcpvt_base,1484.93,689.584,1024,224,43.83
-mobilevitv2_175,1472.18,347.77,512,256,14.25
-mobilevitv2_175_in22ft1k,1472.06,347.8,512,256,14.25
-nf_resnet101,1469.16,696.987,1024,224,44.55
-resnest50d_4s2x40d,1467.36,697.84,1024,224,30.42
-vgg16,1464.57,349.576,512,224,138.36
-resnetv2_50d_frn,1463.93,699.474,1024,224,25.59
-resnetblur101d,1458.09,702.276,1024,224,44.57
-ecaresnet101d,1457.01,702.796,1024,224,44.57
-sequencer2d_s,1455.29,703.627,1024,224,27.65
-nf_resnet50,1445.9,708.195,1024,288,25.56
-convnext_small,1445.85,708.22,1024,224,50.22
-convnext_small_in22ft1k,1443.98,709.135,1024,224,50.22
-regnetz_c16,1437.42,356.181,512,320,13.46
-tresnet_l,1432.52,714.812,1024,224,55.99
-cs3darknet_x,1429.24,716.453,1024,288,35.05
-dla102x,1397.97,732.475,1024,224,26.31
-ssl_resnext101_32x4d,1392.96,735.11,1024,224,44.18
-swsl_resnext101_32x4d,1392.73,735.231,1024,224,44.18
-resnext101_32x4d,1390.48,736.423,1024,224,44.18
-botnet50ts_256,1389.99,276.247,384,256,22.74
-skresnext50_32x4d,1389.9,736.732,1024,224,27.48
-gluon_resnext101_32x4d,1389.41,736.987,1024,224,44.18
-nest_tiny,1388.05,553.283,768,224,17.06
-resnet50_gn,1386.72,738.422,1024,224,25.56
-resnetv2_50d_evob,1383.3,740.244,1024,224,25.59
-res2net50_26w_8s,1373.33,745.622,1024,224,48.4
-halo2botnet50ts_256,1372.33,559.619,768,256,22.64
-regnetx_080,1370.56,747.125,1024,224,39.57
-jx_nest_tiny,1362.62,563.605,768,224,17.06
-convit_small,1355.18,755.603,1024,224,27.78
-res2net101_26w_4s,1353.43,756.586,1024,224,45.21
-xception,1340.72,572.814,768,299,22.86
-mixer_b16_224_miil,1340.03,764.147,1024,224,59.88
-repvgg_b2g4,1335.06,766.992,1024,224,61.76
-vgg16_bn,1335.02,383.503,512,224,138.37
-mixer_b16_224,1328.05,771.041,1024,224,59.88
-twins_svt_base,1307.2,783.34,1024,224,56.07
-dpn92,1299.67,787.878,1024,224,37.67
-ese_vovnet99b_iabn,1282.63,798.345,1024,224,63.2
-crossvit_18_240,1272.74,804.553,1024,240,43.27
-regnety_040s_gn,1271.39,805.405,1024,224,20.65
-eca_nfnet_l0,1271.38,805.411,1024,288,24.14
-nfnet_l0,1269.37,806.681,1024,288,35.07
-seresnext101_32x4d,1268.1,807.494,1024,224,48.96
-legacy_seresnext101_32x4d,1267.59,807.817,1024,224,48.96
-gluon_seresnext101_32x4d,1265.67,809.045,1024,224,48.96
-nf_ecaresnet101,1264.2,809.986,1024,224,44.55
-vit_relpos_medium_patch16_rpn_224,1263.66,810.331,1024,224,38.73
-nf_seresnet101,1261.42,811.77,1024,224,49.33
-mobilevitv2_200,1256.15,305.684,384,256,18.45
-mobilevitv2_200_in22ft1k,1255.83,305.762,384,256,18.45
-xception41p,1254.65,408.071,512,299,26.91
-resnet51q,1254.6,816.185,1024,288,35.7
-efficientnet_el,1254.42,408.143,512,300,10.59
-efficientnet_el_pruned,1254.28,408.188,512,300,10.59
-ese_vovnet99b,1240.88,825.205,1024,224,63.2
-xcit_tiny_12_p8_224_dist,1237.16,827.688,1024,224,6.71
-xcit_tiny_12_p8_224,1235.05,829.105,1024,224,6.71
-crossvit_18_dagger_240,1235.02,829.126,1024,240,44.27
-vgg19,1227.1,417.229,512,224,143.67
-tf_efficientnet_el,1226.94,417.286,512,300,10.59
-poolformer_s36,1217.09,841.334,1024,224,30.86
-hrnet_w32,1204.83,849.897,1024,224,41.23
-hrnet_w30,1202.88,851.275,1024,224,37.71
-resnetv2_152,1196.21,856.023,1024,224,60.19
-nfnet_f0,1193.84,857.722,1024,256,71.49
-swin_small_patch4_window7_224,1179.92,867.841,1024,224,49.61
-resmlp_36_224,1179.88,867.87,1024,224,44.69
-vit_small_resnet50d_s16_224,1179.15,868.406,1024,224,57.53
-resmlp_36_distilled_224,1179.01,868.509,1024,224,44.69
-efficientnet_lite4,1178.02,325.958,384,380,13.01
-tv_resnet152,1172.68,873.198,1024,224,60.19
-gluon_resnet152_v1b,1172.67,873.208,1024,224,60.19
-resnet152,1170.69,874.682,1024,224,60.19
-mixnet_xxl,1163.99,329.888,384,224,23.96
-resnetv2_152d,1163.57,880.032,1024,224,60.2
-ecaresnet50t,1162.34,880.97,1024,320,25.57
-resnet61q,1160.54,882.331,1024,288,36.85
-vit_base_patch16_224_miil,1154.75,886.763,1024,224,86.54
-repvgg_b2,1154.25,887.146,1024,224,89.02
-inception_v4,1153.57,887.661,1024,299,42.68
-swinv2_tiny_window8_256,1152.79,888.266,1024,256,28.35
-densenet161,1147.8,892.122,1024,224,28.68
-gluon_resnet152_v1c,1146.71,892.979,1024,224,60.21
-gluon_resnet152_v1d,1141.31,897.204,1024,224,60.21
-sequencer2d_m,1138.06,899.765,1024,224,38.31
-vit_base_patch16_224_sam,1132.42,904.242,1024,224,86.57
-deit_base_patch16_224,1132.42,904.245,1024,224,86.57
-vit_base_patch16_224,1132.21,904.413,1024,224,86.57
-dla169,1130.13,906.071,1024,224,53.39
-regnetx_120,1129.55,453.263,512,224,46.11
-volo_d1_224,1126.62,908.904,1024,224,26.63
-vgg19_bn,1122.31,456.189,512,224,143.68
-deit_base_distilled_patch16_224,1116.6,917.056,1024,224,87.34
-xception41,1110.46,461.057,512,299,26.97
-cait_xxs36_224,1104.66,926.97,1024,224,17.3
-tf_efficientnet_lite4,1091.59,351.767,384,380,13.01
-convmixer_1024_20_ks9_p14,1091.56,938.092,1024,224,24.38
-deit3_base_patch16_224,1090.26,939.213,1024,224,86.59
-deit3_base_patch16_224_in21ft1k,1088.57,940.667,1024,224,86.59
-legacy_seresnet152,1086.41,942.544,1024,224,66.82
-tnt_s_patch16_224,1079.54,948.54,1024,224,23.76
-regnety_120,1077.58,475.125,512,224,51.82
-repvgg_b3g4,1077.28,950.524,1024,224,83.83
-vit_relpos_base_patch16_clsgap_224,1077.01,950.767,1024,224,86.43
-vit_relpos_base_patch16_cls_224,1076.19,951.489,1024,224,86.43
-gluon_resnet152_v1s,1074.28,953.181,1024,224,60.32
-twins_pcpvt_large,1061.77,964.416,1024,224,60.99
-seresnet152,1047.32,977.721,1024,224,66.82
-beit_base_patch16_224,1045.12,979.774,1024,224,86.53
-xcit_small_24_p16_224_dist,1038.39,986.125,1024,224,47.67
-xcit_small_24_p16_224,1037.69,986.793,1024,224,47.67
-coat_tiny,1036.7,987.731,1024,224,5.5
-dm_nfnet_f0,1035.11,989.253,1024,256,71.49
-nf_regnet_b4,1027.0,997.065,1024,384,30.21
-vit_relpos_base_patch16_224,1017.61,1006.263,1024,224,86.43
-convnext_base_in22ft1k,1006.85,1017.02,1024,224,88.59
-convnext_base,1006.73,1017.126,1024,224,88.59
-pit_b_224,993.61,515.277,512,224,73.76
-pit_b_distilled_224,985.16,519.696,512,224,74.79
-tresnet_xl,983.38,1041.292,1024,224,78.44
-efficientnetv2_s,976.0,1049.166,1024,384,21.46
-dla102x2,973.1,526.138,512,224,41.28
-vit_small_patch16_36x1_224,972.14,1053.329,1024,224,64.67
-swinv2_cr_small_224,966.28,1059.712,1024,224,49.7
-swinv2_cr_small_ns_224,955.69,1071.465,1024,224,49.7
-tf_efficientnetv2_s_in21ft1k,955.24,1071.964,1024,384,21.46
-tf_efficientnetv2_s,955.13,1072.086,1024,384,21.46
-vit_small_patch16_18x2_224,948.32,1079.793,1024,224,64.67
-wide_resnet101_2,939.08,1090.412,1024,224,126.89
-regnetx_160,936.53,546.684,512,224,54.28
-regnety_080,933.52,548.447,512,288,39.18
-regnetz_b16_evos,933.51,822.691,768,288,9.74
-efficientnetv2_rw_s,931.24,1099.596,1024,384,23.94
-resnetv2_50d_gn,920.9,1111.946,1024,288,25.57
-twins_svt_large,918.22,1115.185,1024,224,99.27
-efficientnet_b4,917.89,418.339,384,384,19.34
-regnetz_040,913.72,420.249,384,320,27.12
-xception65p,910.71,562.184,512,299,39.82
-regnetz_040h,909.33,422.274,384,320,28.94
-dpn98,906.73,1129.316,1024,224,61.57
-repvgg_b3,901.67,1135.661,1024,224,123.09
-resnetrs101,898.53,1139.62,1024,288,63.62
-gluon_resnext101_64x4d,887.37,1153.955,1024,224,83.46
-nest_small,885.28,867.51,768,224,38.35
-poolformer_m36,879.83,1163.84,1024,224,56.17
-regnetz_d8,877.84,1166.489,1024,320,23.37
-jx_nest_small,874.11,878.596,768,224,38.35
-ssl_resnext101_32x8d,874.01,1171.597,1024,224,88.79
-swsl_resnext101_32x8d,873.31,1172.532,1024,224,88.79
-resnext101_32x8d,873.01,1172.932,1024,224,88.79
-ig_resnext101_32x8d,872.81,1173.211,1024,224,88.79
-regnetz_d32,869.58,1177.564,1024,320,27.58
-inception_resnet_v2,868.78,1178.653,1024,299,55.84
-ens_adv_inception_resnet_v2,868.32,1179.275,1024,299,55.84
-xcit_tiny_24_p16_384_dist,866.54,1181.7,1024,384,12.12
-cait_s24_224,865.33,1183.354,1024,224,46.92
-resnest101e,858.93,894.122,768,256,48.28
-tf_efficientnet_b4,858.91,447.067,384,380,19.34
-tf_efficientnet_b4_ap,858.7,447.171,384,380,19.34
-tf_efficientnet_b4_ns,858.52,447.267,384,380,19.34
-swin_s3_small_224,853.54,899.766,768,224,49.74
-regnetv_064,852.1,600.857,512,288,30.58
-regnety_064,851.33,601.396,512,288,30.58
-resnet200,847.44,1208.333,1024,224,64.67
-gluon_seresnext101_64x4d,834.87,1226.518,1024,224,88.23
-coat_mini,833.41,1228.669,1024,224,10.34
-swin_base_patch4_window7_224,832.6,1229.869,1024,224,87.77
-resnet101d,816.8,1253.661,1024,320,44.57
-gluon_xception65,816.5,627.052,512,299,39.92
-xception65,811.16,631.185,512,299,39.92
-resnetv2_50d_evos,810.51,947.543,768,288,25.59
-convnext_tiny_384_in22ft1k,807.27,634.218,512,384,28.59
-gmlp_b16_224,789.84,1296.449,1024,224,73.08
-hrnet_w40,787.85,1299.728,1024,224,57.56
-crossvit_base_240,787.17,975.639,768,240,105.03
-hrnet_w44,771.15,1327.87,1024,224,67.06
-swinv2_tiny_window16_256,763.4,670.672,512,256,28.35
-mobilevitv2_150_384_in22ft1k,757.55,337.918,256,384,10.59
-xcit_medium_24_p16_224_dist,748.7,1367.689,1024,224,84.4
-xcit_medium_24_p16_224,748.18,1368.635,1024,224,84.4
-tresnet_m_448,743.16,1377.885,1024,448,31.39
-vit_large_r50_s32_224,742.19,1379.692,1024,224,328.99
-hrnet_w48,738.63,1386.343,1024,224,77.47
-vit_base_patch16_plus_240,738.11,1387.321,1024,240,117.56
-sequencer2d_l,736.17,1390.978,1024,224,54.3
-xcit_small_12_p16_384_dist,715.91,1430.327,1024,384,26.25
-swinv2_small_window8_256,710.32,1441.594,1024,256,49.73
-swin_s3_base_224,693.67,1476.198,1024,224,71.13
-vit_small_patch16_384,692.4,1109.164,768,384,22.2
-vit_relpos_base_patch16_plus_240,691.79,1480.194,1024,240,117.38
-tnt_b_patch16_224,691.78,1480.223,1024,224,65.41
-swinv2_cr_base_224,688.11,1488.125,1024,224,87.88
-densenet264d_iabn,687.57,1489.287,1024,224,72.74
-convit_base,685.88,1492.962,1024,224,86.54
-swinv2_cr_base_ns_224,682.58,1500.17,1024,224,87.88
-vit_base_patch16_rpn_224,667.73,1533.544,1024,224,86.54
-densenet264,664.62,1540.716,1024,224,72.69
-deit3_small_patch16_384,664.03,1156.564,768,384,22.21
-poolformer_m48,663.83,1542.547,1024,224,73.47
-deit3_small_patch16_384_in21ft1k,663.62,1157.274,768,384,22.21
-efficientnet_b3_gn,662.87,386.187,256,320,11.73
-dpn131,660.11,1551.238,1024,224,79.25
-eca_nfnet_l1,655.87,1561.27,1024,320,41.41
-vit_relpos_base_patch16_rpn_224,655.49,1562.186,1024,224,86.41
-xcit_tiny_24_p8_224,650.45,1574.283,1024,224,12.11
-xcit_tiny_24_p8_224_dist,649.22,1577.262,1024,224,12.11
-xcit_nano_12_p8_384_dist,643.06,1592.369,1024,384,3.05
-nest_base,629.02,813.95,512,224,67.72
-volo_d2_224,627.91,1630.781,1024,224,58.68
-mobilevitv2_175_384_in22ft1k,627.52,407.942,256,384,14.25
-jx_nest_base,621.88,823.3,512,224,67.72
-vit_small_r26_s32_384,619.54,619.804,384,384,36.47
-senet154,618.82,1654.743,1024,224,115.09
-gluon_senet154,618.51,1655.586,1024,224,115.09
-legacy_senet154,618.16,1656.503,1024,224,115.09
-xception71,616.97,829.852,512,299,42.34
-vit_base_r50_s16_224,613.11,1670.152,1024,224,98.66
-hrnet_w64,609.7,1679.491,1024,224,128.06
-regnety_320,607.61,842.637,512,224,145.05
-dpn107,606.08,1689.539,1024,224,86.92
-regnetz_c16_evos,598.89,854.904,512,320,13.49
-ecaresnet200d,592.5,1728.248,1024,256,64.69
-seresnet200d,591.19,1732.085,1024,256,71.86
-resnet152d,576.9,1774.999,1024,320,60.21
-convnext_large,559.02,1831.761,1024,224,197.77
-convnext_large_in22ft1k,558.96,1831.941,1024,224,197.77
-regnety_160,558.21,687.896,384,288,83.59
-efficientnet_b3_g8_gn,557.9,458.854,256,320,14.25
-xcit_small_12_p8_224,546.6,1873.371,1024,224,26.21
-xcit_small_12_p8_224_dist,546.45,1873.905,1024,224,26.21
-resnext101_64x4d,541.68,1417.803,768,288,83.46
-mobilevitv2_200_384_in22ft1k,527.08,364.262,192,384,18.45
-halonet_h1,518.76,493.471,256,256,8.1
-vit_large_patch32_384,517.18,1979.967,1024,384,306.63
-seresnet152d,516.02,1984.399,1024,320,66.84
-resnetrs152,512.78,1996.941,1024,320,86.62
-swinv2_base_window8_256,507.32,1513.812,768,256,87.92
-seresnext101_32x8d,503.19,1526.235,768,288,93.57
-convnext_small_384_in22ft1k,494.64,1035.087,512,384,50.22
-seresnext101d_32x8d,494.43,1553.287,768,288,93.59
-swin_large_patch4_window7_224,478.67,1604.435,768,224,196.53
-swinv2_small_window16_256,476.38,1074.753,512,256,49.73
-regnetz_e8,474.49,1618.577,768,320,57.7
-regnetx_320,471.27,814.799,384,224,107.81
-ssl_resnext101_32x16d,471.02,1086.983,512,224,194.03
-swsl_resnext101_32x16d,470.83,1087.428,512,224,194.03
-ig_resnext101_32x16d,470.74,1087.624,512,224,194.03
-mixer_l16_224,470.73,2175.315,1024,224,208.2
-seresnextaa101d_32x8d,463.39,1657.351,768,288,93.59
-seresnet269d,463.29,2210.273,1024,256,113.67
-nf_regnet_b5,450.96,1135.344,512,456,49.74
-efficientnetv2_m,449.82,2276.453,1024,416,54.14
-volo_d3_224,439.99,2327.294,1024,224,86.33
-efficientnet_b5,425.78,601.238,256,456,30.39
-xcit_large_24_p16_224_dist,423.07,2420.403,1024,224,189.1
-xcit_large_24_p16_224,422.98,2420.908,1024,224,189.1
-xcit_tiny_12_p8_384_dist,419.35,2441.847,1024,384,6.71
-resnet200d,417.0,2455.593,1024,320,64.69
-efficientnetv2_rw_m,411.82,1864.879,768,416,53.24
-tf_efficientnet_b5_ns,408.16,627.186,256,456,30.39
-swinv2_cr_tiny_384,408.1,627.286,256,384,28.33
-tf_efficientnet_b5,407.78,627.773,256,456,30.39
-tf_efficientnet_b5_ap,407.68,627.936,256,456,30.39
-swinv2_cr_large_224,405.25,1895.127,768,224,196.68
-resnetv2_50x1_bitm,401.93,955.37,384,448,25.55
-nfnet_f1,399.69,2561.946,1024,320,132.63
-xcit_small_24_p16_384_dist,382.57,2676.633,1024,384,47.67
-regnetz_d8_evos,376.87,2037.797,768,320,23.46
-tresnet_l_448,371.52,2756.242,1024,448,55.99
-vit_large_patch16_224,369.7,2769.802,1024,224,304.33
-resnetrs200,368.58,2778.22,1024,320,93.21
-convnext_xlarge_in22ft1k,368.02,1391.221,512,224,350.2
-crossvit_15_dagger_408,366.37,698.731,256,408,28.5
-vit_base_patch16_18x2_224,361.96,2829.064,1024,224,256.73
-deit3_large_patch16_224,358.07,2859.733,1024,224,304.37
-deit3_large_patch16_224_in21ft1k,357.9,2861.143,1024,224,304.37
-dm_nfnet_f1,357.87,2146.026,768,320,132.63
-tf_efficientnetv2_m,350.54,2190.896,768,480,54.14
-tf_efficientnetv2_m_in21ft1k,350.14,2193.372,768,480,54.14
-swinv2_base_window16_256,345.6,1111.087,384,256,87.92
-swinv2_base_window12to16_192to256_22kft1k,345.47,1111.525,384,256,87.92
-convnext_base_384_in22ft1k,344.56,1485.926,512,384,88.59
-beit_large_patch16_224,342.32,2991.347,1024,224,304.43
-eca_nfnet_l2,322.02,2384.947,768,384,56.72
-volo_d1_384,293.04,1747.159,512,384,26.78
-convmixer_768_32,292.83,3496.872,1024,224,21.11
-resnetv2_152x2_bit_teacher,291.46,2634.992,768,224,236.34
-deit_base_patch16_384,288.65,1330.327,384,384,86.86
-vit_base_patch16_384,288.47,1331.141,384,384,86.86
-resnest200e,288.19,1776.58,512,320,70.2
-xcit_small_24_p8_224,286.12,3578.848,1024,224,47.63
-xcit_small_24_p8_224_dist,286.06,3579.677,1024,224,47.63
-deit_base_distilled_patch16_384,284.56,1349.413,384,384,87.63
-volo_d4_224,282.61,3623.333,1024,224,192.96
-deit3_base_patch16_384,277.81,1382.217,384,384,86.88
-deit3_base_patch16_384_in21ft1k,277.78,1382.367,384,384,86.88
-tresnet_xl_448,277.15,2771.052,768,448,78.44
-nasnetalarge,276.88,1386.877,384,331,88.75
-vit_large_patch14_224,271.51,3771.489,1024,224,304.2
-cait_xxs24_384,269.82,3795.14,1024,384,12.03
-crossvit_18_dagger_408,269.4,950.247,256,408,44.61
-xcit_medium_24_p16_384_dist,269.2,2852.889,768,384,84.4
-pnasnet5large,264.84,1449.925,384,331,86.06
-resnetv2_101x1_bitm,252.59,1520.226,384,448,44.54
-efficientnet_b6,252.26,507.392,128,528,43.04
-swinv2_cr_small_384,250.03,1023.876,256,384,49.7
-beit_base_patch16_384,247.68,1550.363,384,384,86.74
-vit_large_r50_s32_384,246.17,1559.866,384,384,329.09
-tf_efficientnet_b6_ns,242.42,527.986,128,528,43.04
-tf_efficientnet_b6,242.34,528.179,128,528,43.04
-tf_efficientnet_b6_ap,242.3,528.255,128,528,43.04
-ecaresnet269d,241.69,4236.816,1024,352,102.09
-resnetrs270,234.11,4373.986,1024,352,129.86
-nfnet_f2,224.73,4556.614,1024,352,193.78
-swin_base_patch4_window12_384,220.36,871.278,192,384,87.9
-xcit_tiny_24_p8_384_dist,219.9,4656.678,1024,384,12.11
-resmlp_big_24_224,218.18,4693.363,1024,224,129.14
-resmlp_big_24_224_in22ft1k,217.68,4704.164,1024,224,129.14
-resmlp_big_24_distilled_224,217.65,4704.831,1024,224,129.14
-swinv2_large_window12to16_192to256_22kft1k,211.96,1207.756,256,256,196.74
-efficientnetv2_l,206.63,2477.808,512,480,118.52
-tf_efficientnetv2_l,204.52,2503.355,512,480,118.52
-tf_efficientnetv2_l_in21ft1k,204.48,2503.917,512,480,118.52
-ig_resnext101_32x32d,202.59,1263.594,256,224,468.53
-xcit_medium_24_p8_224,202.12,5066.293,1024,224,84.32
-xcit_medium_24_p8_224_dist,201.88,5072.196,1024,224,84.32
-dm_nfnet_f2,200.18,3836.576,768,352,193.78
-convnext_large_384_in22ft1k,190.55,1343.472,256,384,197.77
-vit_base_patch8_224,188.25,1359.85,256,224,86.58
-volo_d5_224,187.56,5459.662,1024,224,295.46
-cait_xs24_384,186.33,4121.716,768,384,26.67
-xcit_small_12_p8_384_dist,183.57,2091.823,384,384,26.21
-eca_nfnet_l3,182.91,2799.141,512,448,72.04
-cait_xxs36_384,180.41,5675.791,1024,384,17.37
-swinv2_cr_base_384,178.38,1435.085,256,384,87.88
-vit_base_resnet50_384,177.85,2159.087,384,384,98.95
-vit_base_r50_s16_384,177.6,2162.196,384,384,98.95
-swinv2_cr_huge_224,175.47,2188.347,384,224,657.83
-convmixer_1536_20,167.1,6128.044,1024,224,51.63
-volo_d2_384,164.75,1553.889,256,384,58.87
-resnetrs350,156.77,4898.75,768,384,163.96
-xcit_large_24_p16_384_dist,154.33,3317.602,512,384,189.1
-vit_huge_patch14_224,146.32,6998.359,1024,224,632.05
-efficientnet_b7,145.11,661.558,96,600,66.35
-cait_s24_384,144.99,3531.336,512,384,47.06
-deit3_huge_patch14_224,142.26,7197.843,1024,224,632.13
-deit3_huge_patch14_224_in21ft1k,142.17,7202.758,1024,224,632.13
-tf_efficientnet_b7_ns,140.64,682.566,96,600,66.35
-tf_efficientnet_b7_ap,140.61,682.704,96,600,66.35
-tf_efficientnet_b7,140.6,682.756,96,600,66.35
-efficientnetv2_xl,139.56,2751.573,384,512,208.12
-tf_efficientnetv2_xl_in21ft1k,138.42,2774.117,384,512,208.12
-resnest269e,135.65,2830.833,384,416,110.93
-swin_large_patch4_window12_384,130.35,981.936,128,384,196.74
-convnext_xlarge_384_in22ft1k,125.25,1532.9,192,384,350.2
-nfnet_f3,124.74,4104.555,512,416,254.92
-ig_resnext101_32x48d,118.28,1623.193,192,224,828.41
-xcit_large_24_p8_224,115.22,4443.765,512,224,188.93
-xcit_large_24_p8_224_dist,115.18,4445.056,512,224,188.93
-resnetrs420,112.12,6849.78,768,416,191.89
-dm_nfnet_f3,110.18,4647.097,512,416,254.92
-swinv2_cr_large_384,108.04,1184.75,128,384,196.68
-resnetv2_50x3_bitm,102.09,1253.798,128,448,217.32
-resnetv2_152x2_bit_teacher_384,98.91,2588.163,256,384,236.34
-vit_large_patch16_384,97.45,2626.88,256,384,304.72
-cait_s36_384,97.05,5275.469,512,384,68.37
-xcit_small_24_p8_384_dist,96.34,3985.916,384,384,47.63
-vit_giant_patch14_224,95.73,8022.929,768,224,1012.61
-deit3_large_patch16_384,94.64,2704.996,256,384,304.76
-deit3_large_patch16_384_in21ft1k,94.52,2708.314,256,384,304.76
-swinv2_base_window12to24_192to384_22kft1k,94.37,678.174,64,384,87.92
-efficientnet_b8,91.29,1051.594,96,672,87.41
-tf_efficientnet_b8,88.95,1079.277,96,672,87.41
-tf_efficientnet_b8_ap,88.84,1080.533,96,672,87.41
-beit_large_patch16_384,84.67,3023.634,256,384,305.0
-resnetv2_152x2_bitm,73.09,2626.956,192,448,236.34
-volo_d3_448,72.41,2651.496,192,448,86.63
-nfnet_f4,69.91,5493.031,384,512,316.07
-xcit_medium_24_p8_384_dist,67.93,3768.466,256,384,84.32
-dm_nfnet_f4,62.55,4092.528,256,512,316.07
-resnetv2_101x3_bitm,61.05,2096.759,128,448,387.93
-swinv2_large_window12to24_192to384_22kft1k,59.71,803.821,48,384,196.74
-vit_gigantic_patch14_224,57.59,8890.782,512,224,1844.44
-tf_efficientnet_l2_ns_475,56.35,1135.833,64,475,480.31
-volo_d4_448,52.92,2418.622,128,448,193.41
-swinv2_cr_giant_224,50.53,2532.906,128,224,2598.76
-nfnet_f5,49.64,5157.064,256,544,377.21
-swinv2_cr_huge_384,47.06,1360.056,64,384,657.94
-dm_nfnet_f5,44.17,5795.363,256,544,377.21
-xcit_large_24_p8_384_dist,38.64,4968.379,192,384,188.93
-nfnet_f6,37.99,6738.223,256,576,438.36
-volo_d5_448,36.49,3507.831,128,448,295.91
-beit_large_patch16_512,33.88,2833.282,96,512,305.67
-dm_nfnet_f6,33.83,7567.962,256,576,438.36
-cait_m36_384,31.72,8071.786,256,384,271.22
-nfnet_f7,30.38,8426.213,256,608,499.5
-volo_d5_512,25.58,3752.221,96,512,296.09
-resnetv2_152x4_bitm,22.67,4234.474,96,480,936.53
-efficientnet_l2,20.51,1169.975,24,800,480.31
-tf_efficientnet_l2_ns,20.15,1191.261,24,800,480.31
-swinv2_cr_giant_384,14.62,2188.205,32,384,2598.76
-cait_m48_448,13.47,9503.031,128,448,356.46
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
+tinynet_e,49285.12,20.767,1024,106,0.03,0.69,2.04
+mobilenetv3_small_050,43905.96,23.312,1024,224,0.03,0.92,1.59
+lcnet_035,40961.84,24.988,1024,224,0.03,1.04,1.64
+lcnet_050,36451.18,28.081,1024,224,0.05,1.26,1.88
+mobilenetv3_small_075,32291.57,31.7,1024,224,0.05,1.3,2.04
+mobilenetv3_small_100,28935.54,35.379,1024,224,0.06,1.42,2.54
+tf_mobilenetv3_small_minimal_100,27926.5,36.657,1024,224,0.06,1.41,2.04
+tinynet_d,27303.88,37.493,1024,152,0.05,1.42,2.34
+tf_mobilenetv3_small_075,26850.04,38.127,1024,224,0.05,1.3,2.04
+tf_mobilenetv3_small_100,24320.21,42.094,1024,224,0.06,1.42,2.54
+lcnet_075,22627.19,45.245,1024,224,0.1,1.99,2.36
+mnasnet_small,20150.91,50.806,1024,224,0.07,2.16,2.03
+levit_128s,19458.78,52.613,1024,224,0.31,1.88,7.78
+lcnet_100,18910.66,54.139,1024,224,0.16,2.52,2.95
+mobilenetv2_035,18047.72,56.728,1024,224,0.07,2.86,1.68
+regnetx_002,17921.55,57.126,1024,224,0.2,2.16,2.68
+regnety_002,16656.92,61.462,1024,224,0.2,2.17,3.16
+ghostnet_050,16494.57,62.071,1024,224,0.05,1.77,2.59
+mnasnet_050,15574.97,65.736,1024,224,0.11,3.07,2.22
+mobilenetv2_050,14533.98,70.445,1024,224,0.1,3.64,1.97
+tinynet_c,14397.76,71.111,1024,184,0.11,2.87,2.46
+semnasnet_050,14065.61,72.79,1024,224,0.11,3.44,2.08
+levit_128,13348.5,76.702,1024,224,0.41,2.71,9.21
+vit_small_patch32_224,12899.41,79.373,1024,224,1.15,2.5,22.88
+mixer_s32_224,12823.61,79.842,1024,224,1.0,2.28,19.1
+lcnet_150,12599.24,81.264,1024,224,0.34,3.79,4.5
+regnetx_004,12314.46,83.141,1024,224,0.4,3.14,5.16
+cs3darknet_focus_s,11852.98,86.381,1024,256,0.69,2.7,3.27
+mobilenetv3_large_075,11687.27,87.605,1024,224,0.16,4.0,3.99
+resnet10t,11549.51,88.651,1024,224,1.1,2.43,5.44
+cs3darknet_s,11540.93,88.716,1024,256,0.72,2.97,3.28
+vit_tiny_r_s16_p8_224,10917.33,93.785,1024,224,0.44,2.06,6.34
+ese_vovnet19b_slim_dw,10530.7,97.229,1024,224,0.4,5.28,1.9
+mobilenetv3_rw,10453.43,97.947,1024,224,0.23,4.41,5.48
+hardcorenas_a,10387.47,98.569,1024,224,0.23,4.38,5.26
+mobilenetv3_large_100_miil,10298.68,99.419,1024,224,0.23,4.41,5.48
+mobilenetv3_large_100,10295.13,99.453,1024,224,0.23,4.41,5.48
+tf_mobilenetv3_large_075,10277.2,99.627,1024,224,0.16,4.0,3.99
+gernet_s,10228.24,100.105,1024,224,0.75,2.65,8.17
+mnasnet_075,10209.23,100.29,1024,224,0.23,4.77,3.17
+levit_192,10099.95,101.375,1024,224,0.66,3.2,10.95
+tf_mobilenetv3_large_minimal_100,10021.88,102.166,1024,224,0.22,4.4,3.92
+hardcorenas_b,9469.88,108.121,1024,224,0.26,5.09,5.18
+regnetx_006,9309.45,109.982,1024,224,0.61,3.98,6.2
+tinynet_b,9298.6,110.113,1024,188,0.21,4.44,3.73
+regnety_004,9296.36,110.137,1024,224,0.41,3.89,4.34
+ghostnet_100,9264.87,110.513,1024,224,0.15,3.55,5.18
+hardcorenas_c,9196.31,111.338,1024,224,0.28,5.01,5.52
+resnet18,9171.4,111.64,1024,224,1.82,2.48,11.69
+tf_mobilenetv3_large_100,9170.64,111.649,1024,224,0.23,4.41,5.48
+mobilenetv2_075,9151.72,111.88,1024,224,0.22,5.86,2.64
+swsl_resnet18,9145.07,111.962,1024,224,1.82,2.48,11.69
+mnasnet_100,9128.95,112.159,1024,224,0.33,5.46,4.38
+mnasnet_b1,9096.68,112.558,1024,224,0.33,5.46,4.38
+gluon_resnet18_v1b,9092.93,112.604,1024,224,1.82,2.48,11.69
+ssl_resnet18,9043.33,113.221,1024,224,1.82,2.48,11.69
+semnasnet_075,8958.16,114.297,1024,224,0.23,5.54,2.91
+hardcorenas_d,8756.1,116.935,1024,224,0.3,4.93,7.5
+seresnet18,8678.54,117.981,1024,224,1.82,2.49,11.78
+regnety_006,8404.01,121.832,1024,224,0.61,4.33,6.06
+mobilenetv2_100,8360.81,122.466,1024,224,0.31,6.68,3.5
+legacy_seresnet18,8318.12,123.094,1024,224,1.82,2.49,11.78
+spnasnet_100,8246.33,124.165,1024,224,0.35,6.03,4.42
+semnasnet_100,8027.18,127.555,1024,224,0.32,6.23,3.89
+mnasnet_a1,8013.14,127.779,1024,224,0.32,6.23,3.89
+levit_256,7862.24,130.228,1024,224,1.13,4.23,18.89
+resnet18d,7721.04,132.614,1024,224,2.06,3.29,11.71
+hardcorenas_f,7642.68,133.973,1024,224,0.35,5.57,8.2
+hardcorenas_e,7588.05,134.938,1024,224,0.35,5.65,8.07
+ese_vovnet19b_slim,7530.8,135.964,1024,224,1.69,3.52,3.17
+efficientnet_lite0,7530.79,135.964,1024,224,0.4,6.74,4.65
+ghostnet_130,7411.84,138.146,1024,224,0.24,4.6,7.36
+regnetx_008,7376.89,138.798,1024,224,0.81,5.15,7.26
+tinynet_a,7260.16,141.032,1024,192,0.35,5.41,6.19
+tf_efficientnetv2_b0,7117.22,143.865,1024,224,0.73,4.77,7.14
+fbnetc_100,7115.49,143.899,1024,224,0.4,6.51,5.57
+regnety_008,7108.36,144.037,1024,224,0.81,5.25,6.26
+xcit_nano_12_p16_224_dist,7019.86,145.861,1024,224,0.56,4.17,3.05
+xcit_nano_12_p16_224,7000.29,146.268,1024,224,0.56,4.17,3.05
+edgenext_xx_small,6963.01,147.05,1024,256,0.33,4.21,1.33
+levit_256d,6856.41,149.338,1024,224,1.4,4.93,26.21
+deit_tiny_patch16_224,6794.46,150.698,1024,224,1.26,5.97,5.72
+vit_tiny_patch16_224,6769.81,151.248,1024,224,1.26,5.97,5.72
+tf_efficientnet_lite0,6667.82,153.562,1024,224,0.4,6.74,4.65
+deit_tiny_distilled_patch16_224,6647.4,154.032,1024,224,1.27,6.01,5.91
+efficientnet_b0,6576.16,155.702,1024,224,0.4,6.75,5.29
+dla46_c,6538.59,156.596,1024,224,0.58,4.5,1.3
+rexnetr_100,6369.79,160.748,1024,224,0.43,7.72,4.88
+mnasnet_140,6297.39,162.595,1024,224,0.6,7.71,7.12
+rexnet_100,6295.89,162.634,1024,224,0.41,7.44,4.8
+efficientnet_b1_pruned,6269.62,163.315,1024,240,0.4,6.21,6.33
+mobilenetv2_110d,6263.44,163.477,1024,224,0.45,8.71,4.52
+regnetz_005,6057.27,169.042,1024,224,0.52,5.86,7.12
+resnetblur18,6056.25,169.07,1024,224,2.34,3.39,11.69
+pit_ti_distilled_224,6026.49,169.903,1024,224,0.71,6.23,5.1
+pit_ti_224,5988.08,170.993,1024,224,0.7,6.19,4.85
+nf_regnet_b0,5936.35,172.485,1024,256,0.64,5.58,8.76
+mobilevitv2_050,5906.65,173.353,1024,256,0.48,8.04,1.37
+tf_efficientnet_b0_ap,5894.61,173.707,1024,224,0.4,6.75,5.29
+tf_efficientnet_b0,5892.32,173.774,1024,224,0.4,6.75,5.29
+tf_efficientnet_b0_ns,5891.52,173.799,1024,224,0.4,6.75,5.29
+visformer_tiny,5845.93,175.153,1024,224,1.27,5.72,10.32
+resnet14t,5834.5,175.495,1024,224,1.69,5.8,10.08
+dla46x_c,5690.98,179.922,1024,224,0.54,5.66,1.07
+skresnet18,5640.2,181.543,1024,224,1.82,3.24,11.96
+semnasnet_140,5544.22,184.685,1024,224,0.6,8.87,6.11
+hrnet_w18_small,5451.81,187.816,1024,224,1.61,5.72,13.19
+mobilenetv2_140,5399.1,189.649,1024,224,0.6,9.57,6.11
+resnet34,5356.43,191.161,1024,224,3.67,3.74,21.8
+dla60x_c,5292.02,193.487,1024,224,0.59,6.01,1.32
+mobilevit_xxs,5275.05,194.109,1024,256,0.42,8.34,1.27
+ese_vovnet19b_dw,5260.83,194.634,1024,224,1.34,8.25,6.54
+gluon_resnet34_v1b,5203.76,196.769,1024,224,3.67,3.74,21.8
+tv_resnet34,5193.55,197.156,1024,224,3.67,3.74,21.8
+efficientnet_lite1,5144.81,199.024,1024,240,0.62,10.14,5.42
+mixnet_s,5054.78,202.566,1024,224,0.25,6.25,4.13
+seresnet34,5051.53,202.699,1024,224,3.67,3.74,21.96
+gernet_m,5028.39,203.632,1024,224,3.02,5.24,21.14
+fbnetv3_b,4982.49,205.508,1024,256,0.55,9.1,8.6
+selecsls42,4945.53,207.043,1024,224,2.94,4.62,30.35
+selecsls42b,4942.3,207.179,1024,224,2.98,4.62,32.46
+vit_base_patch32_224_sam,4921.3,208.063,1024,224,4.41,5.01,88.22
+vit_base_patch32_224,4918.17,208.197,1024,224,4.41,5.01,88.22
+resnet34d,4834.03,211.82,1024,224,3.91,4.54,21.82
+rexnetr_130,4789.2,213.803,1024,224,0.68,9.81,7.61
+pit_xs_224,4766.56,214.816,1024,224,1.4,7.71,10.62
+tf_efficientnetv2_b1,4738.51,216.09,1024,240,1.21,7.34,8.14
+legacy_seresnet34,4737.15,216.152,1024,224,3.67,3.74,21.96
+pit_xs_distilled_224,4722.37,216.826,1024,224,1.41,7.76,11.0
+mixer_b32_224,4707.3,217.523,1024,224,3.24,6.29,60.29
+tf_mixnet_s,4706.57,217.551,1024,224,0.25,6.25,4.13
+tf_efficientnet_lite1,4662.36,219.62,1024,240,0.62,10.14,5.42
+xcit_tiny_12_p16_224_dist,4593.26,222.924,1024,224,1.24,6.29,6.72
+xcit_tiny_12_p16_224,4592.09,222.979,1024,224,1.24,6.29,6.72
+rexnet_130,4578.43,223.646,1024,224,0.68,9.71,7.56
+levit_384,4538.82,225.597,1024,224,2.36,6.26,39.13
+mobilenetv2_120d,4530.56,226.009,1024,224,0.69,11.97,5.83
+edgenext_x_small,4436.58,230.795,1024,256,0.68,7.5,2.34
+cs3darknet_focus_m,4399.27,232.755,1024,288,2.51,6.19,9.3
+efficientnet_b0_g16_evos,4394.3,233.017,1024,224,1.01,7.42,8.11
+efficientnet_es,4389.85,233.253,1024,224,1.81,8.73,5.44
+efficientnet_es_pruned,4389.6,233.266,1024,224,1.81,8.73,5.44
+resnet26,4383.27,233.604,1024,224,2.36,7.35,16.0
+cs3darknet_m,4330.89,236.429,1024,288,2.63,6.69,9.31
+fbnetv3_d,4328.59,236.555,1024,256,0.68,11.1,10.31
+repvgg_b0,4286.85,238.858,1024,224,3.41,6.15,15.82
+selecsls60,4286.11,238.899,1024,224,3.59,5.52,30.67
+darknet17,4270.14,179.843,768,256,3.26,7.18,14.3
+selecsls60b,4265.59,240.05,1024,224,3.63,5.52,32.77
+efficientnet_b2_pruned,4264.69,240.099,1024,260,0.73,9.13,8.31
+tf_efficientnet_es,4239.07,241.551,1024,224,1.81,8.73,5.44
+regnetx_016,4196.72,243.986,1024,224,1.62,7.93,9.19
+rexnetr_150,4170.12,245.545,1024,224,0.89,11.13,9.78
+crossvit_tiny_240,4122.19,248.4,1024,240,1.57,9.08,7.01
+dla34,4120.09,248.525,1024,224,3.07,5.02,15.74
+mixer_s16_224,4085.83,250.611,1024,224,3.79,5.97,18.53
+vit_small_patch32_384,4015.79,254.982,1024,384,3.45,8.25,22.92
+rexnet_150,3990.72,256.583,1024,224,0.9,11.21,9.73
+resnet26d,3989.2,256.681,1024,224,2.6,8.15,16.01
+ecaresnet50d_pruned,3983.23,257.066,1024,224,2.53,6.43,19.94
+efficientnet_lite2,3977.91,257.41,1024,260,0.89,12.9,6.09
+gmlp_ti16_224,3944.3,259.603,1024,224,1.34,7.55,5.87
+mobilevitv2_075,3905.27,262.199,1024,256,1.05,12.06,2.87
+crossvit_9_240,3875.46,264.215,1024,240,1.85,9.52,8.55
+darknet21,3872.25,198.322,768,256,3.93,7.47,20.86
+nf_resnet26,3857.21,265.465,1024,224,2.41,7.35,16.0
+convnext_nano_ols,3756.44,272.585,1024,224,2.5,8.37,15.6
+convnext_nano_hnf,3749.56,273.084,1024,224,2.46,8.37,15.59
+sedarknet21,3744.18,205.107,768,256,3.93,7.47,20.95
+efficientnet_b1,3742.67,273.59,1024,256,0.77,12.22,7.79
+crossvit_9_dagger_240,3734.14,274.215,1024,240,1.99,9.97,8.78
+tf_efficientnet_b1,3731.51,274.409,1024,240,0.71,10.88,7.79
+tf_efficientnet_b1_ns,3731.48,274.411,1024,240,0.71,10.88,7.79
+tf_efficientnet_b1_ap,3726.19,274.8,1024,240,0.71,10.88,7.79
+resnest14d,3644.88,280.93,1024,224,2.76,7.33,10.61
+regnety_016,3624.55,282.503,1024,224,1.63,8.04,11.2
+tf_efficientnet_lite2,3624.06,282.543,1024,260,0.89,12.9,6.09
+vit_tiny_r_s16_p8_384,3594.94,213.622,768,384,1.34,6.49,6.36
+tf_efficientnetv2_b2,3593.98,284.91,1024,260,1.72,9.84,10.1
+poolformer_s12,3483.41,293.951,1024,224,1.82,5.53,11.92
+resmlp_12_224,3460.87,295.868,1024,224,3.01,5.5,15.35
+resmlp_12_distilled_224,3458.54,296.067,1024,224,3.01,5.5,15.35
+mixnet_m,3455.23,296.35,1024,224,0.36,8.19,5.01
+gmixer_12_224,3401.29,301.051,1024,224,2.67,7.26,12.7
+resnext26ts,3375.26,303.371,1024,256,2.43,10.52,10.3
+nf_ecaresnet26,3365.9,304.215,1024,224,2.41,7.36,16.0
+nf_seresnet26,3360.23,304.729,1024,224,2.41,7.36,17.4
+gernet_l,3328.59,307.626,1024,256,4.57,8.0,31.08
+repvgg_a2,3325.03,307.955,1024,224,5.7,6.26,28.21
+tf_mixnet_m,3322.0,308.236,1024,224,0.36,8.19,5.01
+efficientnet_b3_pruned,3297.4,310.535,1024,300,1.04,11.86,9.86
+nf_regnet_b1,3293.07,310.944,1024,288,1.02,9.2,10.22
+seresnext26ts,3291.26,311.115,1024,256,2.43,10.52,10.39
+eca_resnext26ts,3290.56,311.182,1024,256,2.43,10.52,10.3
+legacy_seresnext26_32x4d,3269.09,313.225,1024,224,2.49,9.39,16.79
+skresnet34,3229.96,317.02,1024,224,3.67,5.13,22.28
+gcresnext26ts,3229.79,317.037,1024,256,2.43,10.53,10.48
+nf_regnet_b2,3193.49,320.64,1024,272,1.22,9.27,14.31
+convit_tiny,3179.42,322.058,1024,224,1.26,7.94,5.71
+resnet26t,3149.41,325.128,1024,256,3.35,10.52,16.01
+rexnetr_200,3135.78,244.904,768,224,1.59,15.11,16.52
+ecaresnet101d_pruned,3129.51,327.195,1024,224,3.48,7.69,24.88
+seresnext26tn_32x4d,3050.2,335.704,1024,224,2.7,10.09,16.81
+seresnext26t_32x4d,3050.01,335.724,1024,224,2.7,10.09,16.81
+ecaresnext50t_32x4d,3049.83,335.744,1024,224,2.7,10.09,15.41
+ecaresnext26t_32x4d,3048.36,335.905,1024,224,2.7,10.09,15.41
+seresnext26d_32x4d,3037.9,337.063,1024,224,2.73,10.19,16.81
+deit_small_patch16_224,3002.36,341.052,1024,224,4.61,11.95,22.05
+rexnet_200,3001.86,255.828,768,224,1.56,14.91,16.37
+vit_small_patch16_224,3000.37,341.279,1024,224,4.61,11.95,22.05
+mobilevit_xs,2981.72,257.559,768,256,1.05,16.33,2.32
+deit_small_distilled_patch16_224,2950.87,347.001,1024,224,4.63,12.02,22.44
+pit_s_224,2945.22,347.668,1024,224,2.88,11.56,23.46
+ecaresnetlight,2941.7,348.085,1024,224,4.11,8.42,30.16
+coat_lite_tiny,2932.4,349.189,1024,224,1.6,11.65,5.72
+eca_botnext26ts_256,2930.99,349.358,1024,256,2.46,11.6,10.59
+pit_s_distilled_224,2918.75,350.821,1024,224,2.9,11.64,24.04
+tf_efficientnet_b2_ns,2903.13,352.71,1024,260,1.02,13.83,9.11
+tf_efficientnet_b2,2902.67,352.766,1024,260,1.02,13.83,9.11
+tf_efficientnet_b2_ap,2901.98,352.851,1024,260,1.02,13.83,9.11
+eca_halonext26ts,2883.09,355.163,1024,256,2.44,11.46,10.76
+tresnet_m,2870.7,356.694,1024,224,5.74,7.31,31.39
+botnet26t_256,2862.72,357.688,1024,256,3.32,11.98,12.49
+regnetx_032,2852.1,359.019,1024,224,3.2,11.37,15.3
+hrnet_w18_small_v2,2845.04,359.912,1024,224,2.62,9.65,15.6
+deit3_small_patch16_224_in21ft1k,2837.48,360.868,1024,224,4.61,11.95,22.06
+halonet26t,2832.73,361.477,1024,256,3.19,11.69,12.48
+resnetv2_50,2829.74,361.858,1024,224,4.11,11.11,25.55
+deit3_small_patch16_224,2828.59,362.004,1024,224,4.61,11.95,22.06
+vgg11,2795.7,183.125,512,224,7.61,7.44,132.86
+haloregnetz_b,2794.73,366.391,1024,224,1.97,11.94,11.68
+bat_resnext26ts,2793.93,366.495,1024,256,2.53,12.51,10.73
+vit_relpos_base_patch32_plus_rpn_256,2775.87,368.882,1024,256,7.68,8.01,119.42
+vit_base_patch32_plus_256,2773.66,369.174,1024,256,7.79,7.76,119.48
+dpn68b,2762.53,370.662,1024,224,2.35,10.47,12.61
+vit_small_resnet26d_224,2758.05,371.264,1024,224,5.07,11.12,63.61
+efficientnet_b2,2753.12,371.929,1024,288,1.12,16.2,9.11
+coat_lite_mini,2752.31,372.037,1024,224,2.0,12.25,11.01
+efficientnet_b2a,2752.1,372.068,1024,288,1.12,16.2,9.11
+efficientnet_b0_gn,2748.63,372.536,1024,224,0.42,6.75,5.29
+resnet50,2733.34,374.621,1024,224,4.11,11.11,25.56
+ssl_resnet50,2732.73,374.705,1024,224,4.11,11.11,25.56
+tv_resnet50,2732.0,374.804,1024,224,4.11,11.11,25.56
+gluon_resnet50_v1b,2731.92,374.815,1024,224,4.11,11.11,25.56
+swsl_resnet50,2730.89,374.957,1024,224,4.11,11.11,25.56
+cspresnet50,2720.51,376.385,1024,256,4.54,11.5,21.62
+resnet32ts,2719.03,376.593,1024,256,4.63,11.58,17.96
+dpn68,2711.28,377.669,1024,224,2.35,10.47,12.61
+mobilevitv2_100,2710.59,283.322,768,256,1.84,16.08,4.9
+vovnet39a,2706.48,378.339,1024,224,7.09,6.73,22.6
+resnetv2_50t,2687.6,380.997,1024,224,4.32,11.82,25.57
+resnet33ts,2683.32,381.605,1024,256,4.76,11.66,19.68
+resnetv2_50d,2678.25,382.327,1024,224,4.35,11.92,25.57
+efficientnet_em,2663.14,384.496,1024,240,3.04,14.34,6.9
+mixnet_l,2651.17,289.672,768,224,0.58,10.84,7.33
+visformer_small,2638.82,388.04,1024,224,4.88,11.43,40.22
+ese_vovnet39b,2631.4,389.135,1024,224,7.09,6.74,24.57
+resnest26d,2624.21,390.2,1024,224,3.64,9.97,17.07
+vit_relpos_small_patch16_224,2615.53,391.496,1024,224,4.59,13.05,21.98
+seresnet33ts,2613.57,391.79,1024,256,4.76,11.66,19.78
+eca_resnet33ts,2609.68,392.373,1024,256,4.76,11.66,19.68
+vit_srelpos_small_patch16_224,2607.7,392.67,1024,224,4.59,12.16,21.97
+eca_vovnet39b,2607.14,392.755,1024,224,7.09,6.74,22.6
+gluon_resnet50_v1c,2599.91,393.848,1024,224,4.35,11.92,25.58
+tf_efficientnet_em,2599.16,393.961,1024,240,3.04,14.34,6.9
+cspresnet50w,2589.44,395.44,1024,256,5.04,12.19,28.12
+resnet50d,2584.02,396.27,1024,224,4.35,11.92,25.58
+legacy_seresnet50,2582.34,396.527,1024,224,3.88,10.6,28.09
+resnet50t,2580.37,396.829,1024,224,4.32,11.82,25.57
+twins_svt_small,2576.63,397.407,1024,224,2.94,13.75,24.06
+gluon_resnet50_v1d,2570.89,398.293,1024,224,4.35,11.92,25.58
+gcresnet33ts,2569.2,398.556,1024,256,4.76,11.68,19.88
+cspresnet50d,2560.0,399.988,1024,256,4.86,12.55,21.64
+lambda_resnet26t,2551.69,401.29,1024,256,3.02,11.87,10.96
+tf_mixnet_l,2550.79,301.072,768,224,0.58,10.84,7.33
+selecsls84,2543.3,402.613,1024,224,5.9,7.57,50.95
+vgg11_bn,2541.42,201.45,512,224,7.62,7.44,132.87
+dla60,2525.2,405.498,1024,224,4.26,10.16,22.04
+cs3darknet_focus_l,2520.03,406.331,1024,288,5.9,10.16,21.15
+res2net50_48w_2s,2502.4,409.196,1024,224,4.18,11.72,25.29
+cs3darknet_l,2485.99,411.896,1024,288,6.16,10.83,21.16
+densenet121,2467.71,414.945,1024,224,2.87,6.9,7.98
+xcit_nano_12_p16_384_dist,2466.74,415.111,1024,384,1.64,12.15,3.05
+xcit_tiny_24_p16_224_dist,2463.21,415.705,1024,224,2.34,11.82,12.12
+tv_densenet121,2461.4,416.011,1024,224,2.87,6.9,7.98
+xcit_tiny_24_p16_224,2457.2,416.72,1024,224,2.34,11.82,12.12
+seresnet50,2438.84,419.859,1024,224,4.11,11.13,28.09
+convnext_tiny_hnfd,2399.93,426.664,1024,224,4.47,13.44,28.59
+convnext_tiny_hnf,2395.62,427.433,1024,224,4.47,13.44,28.59
+efficientnet_lite3,2383.15,214.83,512,300,1.65,21.85,8.2
+efficientnet_b0_g8_gn,2375.8,431.002,1024,224,0.66,6.75,6.56
+convnext_tiny_in22ft1k,2362.17,433.485,1024,224,4.47,13.44,28.59
+densenet121d,2362.07,433.503,1024,224,3.11,7.7,8.0
+convnext_tiny,2359.72,433.936,1024,224,4.47,13.44,28.59
+cs3sedarknet_l,2353.08,435.161,1024,288,6.16,10.83,21.91
+resnetaa50d,2350.26,435.685,1024,224,5.39,12.44,25.58
+efficientnet_cc_b0_4e,2334.0,438.721,1024,224,0.41,9.42,13.31
+seresnet50t,2333.68,438.78,1024,224,4.32,11.83,28.1
+ecaresnet50d,2316.33,442.066,1024,224,4.35,11.93,25.58
+resnetblur50,2298.66,445.465,1024,224,5.16,12.02,25.56
+mobilevit_s,2279.76,336.866,768,256,2.03,19.94,5.58
+resnetrs50,2276.18,449.864,1024,224,4.48,12.14,35.69
+vit_base_resnet26d_224,2262.15,452.654,1024,224,6.97,13.16,101.4
+gluon_resnet50_v1s,2257.16,453.655,1024,224,5.47,13.52,25.68
+vovnet57a,2253.6,454.372,1024,224,8.95,7.52,36.64
+adv_inception_v3,2250.27,455.041,1024,299,5.73,8.97,23.83
+gluon_inception_v3,2249.35,455.229,1024,299,5.73,8.97,23.83
+tf_inception_v3,2245.22,456.064,1024,299,5.73,8.97,23.83
+tf_efficientnet_cc_b0_4e,2243.01,456.518,1024,224,0.41,9.42,13.31
+inception_v3,2240.78,456.965,1024,299,5.73,8.97,23.83
+tf_efficientnet_cc_b0_8e,2240.71,456.986,1024,224,0.42,9.42,24.01
+densenetblur121d,2235.56,458.037,1024,224,3.11,7.9,8.0
+resnest50d_1s4x24d,2213.57,462.589,1024,224,4.43,13.57,25.68
+res2net50_26w_4s,2209.54,463.432,1024,224,4.28,12.61,25.7
+ssl_resnext50_32x4d,2205.13,464.359,1024,224,4.26,14.4,25.03
+swsl_resnext50_32x4d,2204.8,464.429,1024,224,4.26,14.4,25.03
+gluon_resnext50_32x4d,2203.2,464.765,1024,224,4.26,14.4,25.03
+resnext50_32x4d,2199.44,465.561,1024,224,4.26,14.4,25.03
+tv_resnext50_32x4d,2198.23,465.818,1024,224,4.26,14.4,25.03
+regnetx_040,2190.95,467.362,1024,224,3.99,12.2,22.12
+cspresnext50,2182.4,469.194,1024,256,4.05,15.86,20.57
+resnetblur50d,2182.09,469.263,1024,224,5.4,12.82,25.58
+regnetz_b16,2180.8,469.54,1024,288,2.39,16.43,9.72
+ese_vovnet57b,2171.57,471.535,1024,224,8.95,7.52,38.61
+tf_efficientnet_lite3,2166.77,236.285,512,300,1.65,21.85,8.2
+mobilevitv2_125,2151.63,356.926,768,256,2.86,20.1,7.48
+efficientnet_cc_b0_8e,2149.58,476.36,1024,224,0.42,9.42,24.01
+semobilevit_s,2143.19,358.331,768,256,2.03,19.95,5.74
+twins_pcpvt_small,2142.01,478.043,1024,224,3.83,18.08,24.11
+nf_regnet_b3,2133.81,479.88,1024,320,2.05,14.61,18.59
+tf_efficientnetv2_b3,2121.62,482.639,1024,300,3.04,15.74,14.36
+seresnetaa50d,2118.99,483.236,1024,224,5.4,12.46,28.11
+efficientnetv2_rw_t,2117.33,483.616,1024,288,3.19,16.42,13.65
+gcresnext50ts,2113.73,484.438,1024,256,3.75,15.46,15.67
+edgenext_small,2107.47,485.876,1024,320,1.97,14.16,5.59
+resnext50d_32x4d,2094.1,488.98,1024,224,4.5,15.2,25.05
+dla60x,2080.97,492.062,1024,224,3.54,13.8,17.35
+res2net50_14w_8s,2066.79,495.441,1024,224,4.21,13.28,25.06
+gc_efficientnetv2_rw_t,2061.37,496.743,1024,288,3.2,16.45,13.68
+sehalonet33ts,2057.14,373.322,768,256,3.55,14.7,13.69
+gcresnet50t,2055.89,498.068,1024,256,5.42,14.67,25.9
+skresnet50,2048.81,499.79,1024,224,4.11,12.5,25.8
+fbnetv3_g,2047.87,500.019,1024,288,1.77,21.09,16.62
+nf_ecaresnet50,2039.26,502.129,1024,224,4.21,11.13,25.56
+nf_seresnet50,2037.45,502.576,1024,224,4.21,11.13,28.09
+cs3darknet_focus_x,2026.01,505.415,1024,256,8.03,10.69,35.02
+dla60_res2net,2015.55,508.035,1024,224,4.15,12.34,20.85
+lambda_resnet26rpt_256,2015.24,190.536,384,256,3.16,11.87,10.99
+seresnext50_32x4d,2010.4,509.339,1024,224,4.26,14.42,27.56
+legacy_seresnext50_32x4d,2003.57,511.076,1024,224,4.26,14.42,27.56
+repvgg_b1g4,2003.2,511.169,1024,224,8.15,10.64,39.97
+gluon_seresnext50_32x4d,2002.45,511.358,1024,224,4.26,14.42,27.56
+densenet169,1987.41,515.228,1024,224,3.4,7.3,14.15
+res2next50,1967.78,520.369,1024,224,4.2,13.71,24.67
+vit_relpos_small_patch16_rpn_224,1966.99,520.579,1024,224,4.59,13.05,21.97
+skresnet50d,1957.14,523.201,1024,224,4.36,13.31,25.82
+xcit_small_12_p16_224_dist,1952.72,524.382,1024,224,4.82,12.58,26.25
+crossvit_small_240,1952.54,524.431,1024,240,5.63,18.17,26.86
+xcit_small_12_p16_224,1952.1,524.55,1024,224,4.82,12.58,26.25
+cs3sedarknet_xdw,1919.73,533.397,1024,256,5.97,17.18,21.6
+swin_tiny_patch4_window7_224,1915.52,534.569,1024,224,4.51,17.06,28.29
+vit_relpos_medium_patch16_cls_224,1909.56,536.236,1024,224,8.03,18.24,38.76
+mixnet_xl,1903.31,268.993,512,224,0.93,14.57,11.9
+dla60_res2next,1893.19,540.873,1024,224,3.49,13.17,17.03
+xcit_nano_12_p8_224_dist,1887.0,542.649,1024,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,1883.21,543.74,1024,224,2.16,15.71,3.05
+cspdarknet53,1881.33,408.211,768,256,6.57,16.81,27.64
+gmlp_s16_224,1873.82,546.464,1024,224,4.42,15.1,19.42
+edgenext_small_rw,1831.96,558.95,1024,320,2.46,14.85,7.83
+ecaresnet26t,1828.87,559.898,1024,320,5.24,16.44,16.01
+vit_small_r26_s32_224,1825.94,560.792,1024,224,3.56,9.85,36.43
+vgg13,1819.73,281.346,512,224,11.31,12.25,133.05
+poolformer_s24,1804.4,567.487,1024,224,3.41,10.68,21.39
+crossvit_15_240,1799.06,569.173,1024,240,5.81,19.77,27.53
+vit_relpos_medium_patch16_224,1794.09,570.75,1024,224,7.97,17.02,38.75
+vit_srelpos_medium_patch16_224,1787.05,573.0,1024,224,7.96,16.21,38.74
+mobilevitv2_150,1774.77,288.477,512,256,4.09,24.11,10.59
+mobilevitv2_150_in22ft1k,1773.43,288.695,512,256,4.09,24.11,10.59
+sebotnet33ts_256,1762.47,217.864,384,256,3.89,17.46,13.7
+resmlp_24_224,1761.92,581.171,1024,224,5.96,10.91,30.02
+efficientnet_b3,1761.71,290.615,512,320,2.01,26.52,12.23
+efficientnet_b3a,1761.71,290.614,512,320,2.01,26.52,12.23
+resmlp_24_distilled_224,1760.69,581.576,1024,224,5.96,10.91,30.02
+regnetx_064,1757.88,436.877,768,224,6.49,16.37,26.21
+resnest50d,1750.78,584.87,1024,224,5.4,14.36,27.48
+gmixer_24_224,1741.35,588.036,1024,224,5.28,14.45,24.72
+swin_s3_tiny_224,1737.42,589.369,1024,224,4.64,19.13,28.33
+crossvit_15_dagger_240,1736.98,589.517,1024,240,6.13,20.43,28.21
+vit_base_resnet50d_224,1722.65,594.42,1024,224,8.73,16.92,110.97
+resnetv2_101,1717.18,596.314,1024,224,7.83,16.23,44.54
+tf_efficientnet_b3_ap,1706.97,299.935,512,300,1.87,23.83,12.23
+tf_efficientnet_b3,1705.74,300.151,512,300,1.87,23.83,12.23
+tf_efficientnet_b3_ns,1705.51,300.191,512,300,1.87,23.83,12.23
+lambda_resnet50ts,1694.68,604.231,1024,256,5.07,17.48,21.54
+dla102,1693.75,604.56,1024,224,7.19,14.18,33.27
+darknetaa53,1689.16,454.651,768,288,10.08,15.68,36.02
+gluon_resnet101_v1b,1679.75,609.599,1024,224,7.83,16.23,44.55
+tv_resnet101,1679.18,609.808,1024,224,7.83,16.23,44.55
+resnet101,1676.67,610.719,1024,224,7.83,16.23,44.55
+repvgg_b1,1663.53,615.546,1024,224,13.16,10.64,57.42
+resnetv2_101d,1653.14,619.414,1024,224,8.07,17.04,44.56
+gluon_resnet101_v1c,1649.02,620.96,1024,224,8.08,17.04,44.57
+vgg13_bn,1642.15,311.774,512,224,11.33,12.25,133.05
+cait_xxs24_224,1641.65,623.749,1024,224,2.53,20.29,11.96
+res2net50_26w_6s,1639.34,624.627,1024,224,6.33,15.28,37.05
+hrnet_w18,1631.65,627.569,1024,224,4.32,16.31,21.3
+vit_large_patch32_224,1623.29,630.805,1024,224,15.39,13.3,306.54
+wide_resnet50_2,1618.04,632.851,1024,224,11.43,14.4,68.88
+gluon_resnet101_v1d,1616.88,633.307,1024,224,8.08,17.04,44.57
+xcit_tiny_12_p16_384_dist,1614.06,634.414,1024,384,3.64,18.26,6.72
+regnetv_040,1604.78,478.557,768,288,6.6,20.3,20.64
+halonet50ts,1600.56,639.764,1024,256,5.3,19.2,22.73
+regnety_040,1597.66,480.688,768,288,6.61,20.3,20.65
+darknet53,1585.01,484.528,768,288,11.78,15.68,41.61
+efficientnet_cc_b1_8e,1576.34,649.593,1024,240,0.75,15.44,39.72
+coat_lite_small,1576.03,649.72,1024,224,3.96,22.09,19.84
+regnety_032,1576.03,649.722,1024,288,5.29,18.61,19.44
+resnetv2_50x1_bit_distilled,1575.9,649.775,1024,224,4.23,11.11,25.55
+swinv2_cr_tiny_224,1574.62,650.304,1024,224,4.66,28.45,28.33
+legacy_seresnet101,1569.43,652.454,1024,224,7.61,15.74,49.33
+vit_base_patch32_384,1551.76,659.885,1024,384,13.06,16.5,88.3
+ese_vovnet39b_evos,1551.37,660.05,1024,224,7.07,6.74,24.58
+swinv2_cr_tiny_ns_224,1546.02,662.33,1024,224,4.66,28.45,28.33
+vit_tiny_patch16_384,1542.96,663.648,1024,384,4.7,25.39,5.79
+lamhalobotnet50ts_256,1533.2,667.873,1024,256,5.02,18.44,22.57
+tf_efficientnet_cc_b1_8e,1527.24,670.479,1024,240,0.75,15.44,39.72
+resnetaa101d,1521.49,673.009,1024,224,9.12,17.56,44.57
+densenet201,1515.85,675.514,1024,224,4.34,7.85,20.01
+resnetaa50,1510.7,677.817,1024,288,8.52,19.24,25.56
+mixer_l32_224,1508.54,678.791,1024,224,11.27,19.86,206.94
+seresnet101,1502.48,681.526,1024,224,7.84,16.27,49.33
+vit_base_r26_s32_224,1492.4,686.129,1024,224,6.81,12.36,101.38
+gluon_resnet101_v1s,1485.37,689.375,1024,224,9.19,18.64,44.67
+twins_pcpvt_base,1484.93,689.584,1024,224,6.68,25.25,43.83
+mobilevitv2_175,1472.18,347.77,512,256,5.54,28.13,14.25
+mobilevitv2_175_in22ft1k,1472.06,347.8,512,256,5.54,28.13,14.25
+nf_resnet101,1469.16,696.987,1024,224,8.01,16.23,44.55
+resnest50d_4s2x40d,1467.36,697.84,1024,224,4.4,17.94,30.42
+vgg16,1464.57,349.576,512,224,15.47,13.56,138.36
+resnetv2_50d_frn,1463.93,699.474,1024,224,4.33,11.92,25.59
+resnetblur101d,1458.09,702.276,1024,224,9.12,17.94,44.57
+ecaresnet101d,1457.01,702.796,1024,224,8.08,17.07,44.57
+sequencer2d_s,1455.29,703.627,1024,224,4.96,11.31,27.65
+nf_resnet50,1445.9,708.195,1024,288,6.88,18.37,25.56
+convnext_small,1445.85,708.22,1024,224,8.71,21.56,50.22
+convnext_small_in22ft1k,1443.98,709.135,1024,224,8.71,21.56,50.22
+regnetz_c16,1437.42,356.181,512,320,3.92,25.88,13.46
+tresnet_l,1432.52,714.812,1024,224,10.88,11.9,55.99
+cs3darknet_x,1429.24,716.453,1024,288,10.6,14.36,35.05
+dla102x,1397.97,732.475,1024,224,5.89,19.42,26.31
+ssl_resnext101_32x4d,1392.96,735.11,1024,224,8.01,21.23,44.18
+swsl_resnext101_32x4d,1392.73,735.231,1024,224,8.01,21.23,44.18
+resnext101_32x4d,1390.48,736.423,1024,224,8.01,21.23,44.18
+botnet50ts_256,1389.99,276.247,384,256,5.54,22.23,22.74
+skresnext50_32x4d,1389.9,736.732,1024,224,4.5,17.18,27.48
+gluon_resnext101_32x4d,1389.41,736.987,1024,224,8.01,21.23,44.18
+nest_tiny,1388.05,553.283,768,224,5.83,25.48,17.06
+resnet50_gn,1386.72,738.422,1024,224,4.14,11.11,25.56
+resnetv2_50d_evob,1383.3,740.244,1024,224,4.33,11.92,25.59
+res2net50_26w_8s,1373.33,745.622,1024,224,8.37,17.95,48.4
+halo2botnet50ts_256,1372.33,559.619,768,256,5.02,21.78,22.64
+regnetx_080,1370.56,747.125,1024,224,8.02,14.06,39.57
+jx_nest_tiny,1362.62,563.605,768,224,5.83,25.48,17.06
+convit_small,1355.18,755.603,1024,224,5.76,17.87,27.78
+res2net101_26w_4s,1353.43,756.586,1024,224,8.1,18.45,45.21
+xception,1340.72,572.814,768,299,8.4,35.83,22.86
+mixer_b16_224_miil,1340.03,764.147,1024,224,12.62,14.53,59.88
+repvgg_b2g4,1335.06,766.992,1024,224,12.63,12.9,61.76
+vgg16_bn,1335.02,383.503,512,224,15.5,13.56,138.37
+mixer_b16_224,1328.05,771.041,1024,224,12.62,14.53,59.88
+twins_svt_base,1307.2,783.34,1024,224,8.59,26.33,56.07
+dpn92,1299.67,787.878,1024,224,6.54,18.21,37.67
+ese_vovnet99b_iabn,1282.63,798.345,1024,224,16.49,11.27,63.2
+crossvit_18_240,1272.74,804.553,1024,240,9.05,26.26,43.27
+regnety_040s_gn,1271.39,805.405,1024,224,4.03,12.29,20.65
+eca_nfnet_l0,1271.38,805.411,1024,288,7.12,17.29,24.14
+nfnet_l0,1269.37,806.681,1024,288,7.13,17.29,35.07
+seresnext101_32x4d,1268.1,807.494,1024,224,8.02,21.26,48.96
+legacy_seresnext101_32x4d,1267.59,807.817,1024,224,8.02,21.26,48.96
+gluon_seresnext101_32x4d,1265.67,809.045,1024,224,8.02,21.26,48.96
+nf_ecaresnet101,1264.2,809.986,1024,224,8.01,16.27,44.55
+vit_relpos_medium_patch16_rpn_224,1263.66,810.331,1024,224,7.97,17.02,38.73
+nf_seresnet101,1261.42,811.77,1024,224,8.02,16.27,49.33
+mobilevitv2_200,1256.15,305.684,384,256,7.22,32.15,18.45
+mobilevitv2_200_in22ft1k,1255.83,305.762,384,256,7.22,32.15,18.45
+xception41p,1254.65,408.071,512,299,9.25,39.86,26.91
+resnet51q,1254.6,816.185,1024,288,8.07,20.94,35.7
+efficientnet_el,1254.42,408.143,512,300,8.0,30.7,10.59
+efficientnet_el_pruned,1254.28,408.188,512,300,8.0,30.7,10.59
+ese_vovnet99b,1240.88,825.205,1024,224,16.51,11.27,63.2
+xcit_tiny_12_p8_224_dist,1237.16,827.688,1024,224,4.81,23.6,6.71
+xcit_tiny_12_p8_224,1235.05,829.105,1024,224,4.81,23.6,6.71
+crossvit_18_dagger_240,1235.02,829.126,1024,240,9.5,27.03,44.27
+vgg19,1227.1,417.229,512,224,19.63,14.86,143.67
+tf_efficientnet_el,1226.94,417.286,512,300,8.0,30.7,10.59
+poolformer_s36,1217.09,841.334,1024,224,5.0,15.82,30.86
+hrnet_w32,1204.83,849.897,1024,224,8.97,22.02,41.23
+hrnet_w30,1202.88,851.275,1024,224,8.15,21.21,37.71
+resnetv2_152,1196.21,856.023,1024,224,11.55,22.56,60.19
+nfnet_f0,1193.84,857.722,1024,256,12.62,18.05,71.49
+swin_small_patch4_window7_224,1179.92,867.841,1024,224,8.77,27.47,49.61
+resmlp_36_224,1179.88,867.87,1024,224,8.91,16.33,44.69
+vit_small_resnet50d_s16_224,1179.15,868.406,1024,224,13.48,24.82,57.53
+resmlp_36_distilled_224,1179.01,868.509,1024,224,8.91,16.33,44.69
+efficientnet_lite4,1178.02,325.958,384,380,4.04,45.66,13.01
+tv_resnet152,1172.68,873.198,1024,224,11.56,22.56,60.19
+gluon_resnet152_v1b,1172.67,873.208,1024,224,11.56,22.56,60.19
+resnet152,1170.69,874.682,1024,224,11.56,22.56,60.19
+mixnet_xxl,1163.99,329.888,384,224,2.04,23.43,23.96
+resnetv2_152d,1163.57,880.032,1024,224,11.8,23.36,60.2
+ecaresnet50t,1162.34,880.97,1024,320,8.82,24.13,25.57
+resnet61q,1160.54,882.331,1024,288,9.87,21.52,36.85
+vit_base_patch16_224_miil,1154.75,886.763,1024,224,17.58,23.9,86.54
+repvgg_b2,1154.25,887.146,1024,224,20.45,12.9,89.02
+inception_v4,1153.57,887.661,1024,299,12.28,15.09,42.68
+swinv2_tiny_window8_256,1152.79,888.266,1024,256,5.96,24.57,28.35
+densenet161,1147.8,892.122,1024,224,7.79,11.06,28.68
+gluon_resnet152_v1c,1146.71,892.979,1024,224,11.8,23.36,60.21
+gluon_resnet152_v1d,1141.31,897.204,1024,224,11.8,23.36,60.21
+sequencer2d_m,1138.06,899.765,1024,224,6.55,14.26,38.31
+vit_base_patch16_224_sam,1132.42,904.242,1024,224,17.58,23.9,86.57
+deit_base_patch16_224,1132.42,904.245,1024,224,17.58,23.9,86.57
+vit_base_patch16_224,1132.21,904.413,1024,224,17.58,23.9,86.57
+dla169,1130.13,906.071,1024,224,11.6,20.2,53.39
+regnetx_120,1129.55,453.263,512,224,12.13,21.37,46.11
+volo_d1_224,1126.62,908.904,1024,224,6.94,24.43,26.63
+vgg19_bn,1122.31,456.189,512,224,19.66,14.86,143.68
+deit_base_distilled_patch16_224,1116.6,917.056,1024,224,17.68,24.05,87.34
+xception41,1110.46,461.057,512,299,9.28,39.86,26.97
+cait_xxs36_224,1104.66,926.97,1024,224,3.77,30.34,17.3
+tf_efficientnet_lite4,1091.59,351.767,384,380,4.04,45.66,13.01
+convmixer_1024_20_ks9_p14,1091.56,938.092,1024,224,5.55,5.51,24.38
+deit3_base_patch16_224,1090.26,939.213,1024,224,17.58,23.9,86.59
+deit3_base_patch16_224_in21ft1k,1088.57,940.667,1024,224,17.58,23.9,86.59
+legacy_seresnet152,1086.41,942.544,1024,224,11.33,22.08,66.82
+tnt_s_patch16_224,1079.54,948.54,1024,224,5.24,24.37,23.76
+regnety_120,1077.58,475.125,512,224,12.14,21.38,51.82
+repvgg_b3g4,1077.28,950.524,1024,224,17.89,15.1,83.83
+vit_relpos_base_patch16_clsgap_224,1077.01,950.767,1024,224,17.6,25.12,86.43
+vit_relpos_base_patch16_cls_224,1076.19,951.489,1024,224,17.6,25.12,86.43
+gluon_resnet152_v1s,1074.28,953.181,1024,224,12.92,24.96,60.32
+twins_pcpvt_large,1061.77,964.416,1024,224,9.84,35.82,60.99
+seresnet152,1047.32,977.721,1024,224,11.57,22.61,66.82
+beit_base_patch16_224,1045.12,979.774,1024,224,17.58,23.9,86.53
+xcit_small_24_p16_224_dist,1038.39,986.125,1024,224,9.1,23.64,47.67
+xcit_small_24_p16_224,1037.69,986.793,1024,224,9.1,23.64,47.67
+coat_tiny,1036.7,987.731,1024,224,4.35,27.2,5.5
+dm_nfnet_f0,1035.11,989.253,1024,256,12.62,18.05,71.49
+nf_regnet_b4,1027.0,997.065,1024,384,4.7,28.61,30.21
+vit_relpos_base_patch16_224,1017.61,1006.263,1024,224,17.51,24.97,86.43
+convnext_base_in22ft1k,1006.85,1017.02,1024,224,15.38,28.75,88.59
+convnext_base,1006.73,1017.126,1024,224,15.38,28.75,88.59
+pit_b_224,993.61,515.277,512,224,12.42,32.94,73.76
+pit_b_distilled_224,985.16,519.696,512,224,12.5,33.07,74.79
+tresnet_xl,983.38,1041.292,1024,224,15.17,15.34,78.44
+efficientnetv2_s,976.0,1049.166,1024,384,8.44,35.77,21.46
+dla102x2,973.1,526.138,512,224,9.34,29.91,41.28
+vit_small_patch16_36x1_224,972.14,1053.329,1024,224,13.71,35.69,64.67
+swinv2_cr_small_224,966.28,1059.712,1024,224,9.07,50.27,49.7
+swinv2_cr_small_ns_224,955.69,1071.465,1024,224,9.08,50.27,49.7
+tf_efficientnetv2_s_in21ft1k,955.24,1071.964,1024,384,8.44,35.77,21.46
+tf_efficientnetv2_s,955.13,1072.086,1024,384,8.44,35.77,21.46
+vit_small_patch16_18x2_224,948.32,1079.793,1024,224,13.71,35.69,64.67
+wide_resnet101_2,939.08,1090.412,1024,224,22.8,21.23,126.89
+regnetx_160,936.53,546.684,512,224,15.99,25.52,54.28
+regnety_080,933.52,548.447,512,288,13.22,29.69,39.18
+regnetz_b16_evos,933.51,822.691,768,288,2.36,16.43,9.74
+efficientnetv2_rw_s,931.24,1099.596,1024,384,8.72,38.03,23.94
+resnetv2_50d_gn,920.9,1111.946,1024,288,7.24,19.7,25.57
+twins_svt_large,918.22,1115.185,1024,224,15.15,35.1,99.27
+efficientnet_b4,917.89,418.339,384,384,4.51,50.04,19.34
+regnetz_040,913.72,420.249,384,320,6.35,37.78,27.12
+xception65p,910.71,562.184,512,299,13.91,52.48,39.82
+regnetz_040h,909.33,422.274,384,320,6.43,37.94,28.94
+dpn98,906.73,1129.316,1024,224,11.73,25.2,61.57
+repvgg_b3,901.67,1135.661,1024,224,29.16,15.1,123.09
+resnetrs101,898.53,1139.62,1024,288,13.56,28.53,63.62
+gluon_resnext101_64x4d,887.37,1153.955,1024,224,15.52,31.21,83.46
+nest_small,885.28,867.51,768,224,10.35,40.04,38.35
+poolformer_m36,879.83,1163.84,1024,224,8.8,22.02,56.17
+regnetz_d8,877.84,1166.489,1024,320,6.19,37.08,23.37
+jx_nest_small,874.11,878.596,768,224,10.35,40.04,38.35
+ssl_resnext101_32x8d,874.01,1171.597,1024,224,16.48,31.21,88.79
+swsl_resnext101_32x8d,873.31,1172.532,1024,224,16.48,31.21,88.79
+resnext101_32x8d,873.01,1172.932,1024,224,16.48,31.21,88.79
+ig_resnext101_32x8d,872.81,1173.211,1024,224,16.48,31.21,88.79
+regnetz_d32,869.58,1177.564,1024,320,9.33,37.08,27.58
+inception_resnet_v2,868.78,1178.653,1024,299,13.18,25.06,55.84
+ens_adv_inception_resnet_v2,868.32,1179.275,1024,299,13.18,25.06,55.84
+xcit_tiny_24_p16_384_dist,866.54,1181.7,1024,384,6.87,34.29,12.12
+cait_s24_224,865.33,1183.354,1024,224,9.35,40.58,46.92
+resnest101e,858.93,894.122,768,256,13.38,28.66,48.28
+tf_efficientnet_b4,858.91,447.067,384,380,4.49,49.49,19.34
+tf_efficientnet_b4_ap,858.7,447.171,384,380,4.49,49.49,19.34
+tf_efficientnet_b4_ns,858.52,447.267,384,380,4.49,49.49,19.34
+swin_s3_small_224,853.54,899.766,768,224,9.43,37.84,49.74
+regnetv_064,852.1,600.857,512,288,10.55,27.11,30.58
+regnety_064,851.33,601.396,512,288,10.56,27.11,30.58
+resnet200,847.44,1208.333,1024,224,15.07,32.19,64.67
+gluon_seresnext101_64x4d,834.87,1226.518,1024,224,15.53,31.25,88.23
+coat_mini,833.41,1228.669,1024,224,6.82,33.68,10.34
+swin_base_patch4_window7_224,832.6,1229.869,1024,224,15.47,36.63,87.77
+resnet101d,816.8,1253.661,1024,320,16.48,34.77,44.57
+gluon_xception65,816.5,627.052,512,299,13.96,52.48,39.92
+xception65,811.16,631.185,512,299,13.96,52.48,39.92
+resnetv2_50d_evos,810.51,947.543,768,288,7.15,19.7,25.59
+convnext_tiny_384_in22ft1k,807.27,634.218,512,384,13.14,39.48,28.59
+gmlp_b16_224,789.84,1296.449,1024,224,15.78,30.21,73.08
+hrnet_w40,787.85,1299.728,1024,224,12.75,25.29,57.56
+crossvit_base_240,787.17,975.639,768,240,21.22,36.33,105.03
+hrnet_w44,771.15,1327.87,1024,224,14.94,26.92,67.06
+swinv2_tiny_window16_256,763.4,670.672,512,256,6.68,39.02,28.35
+mobilevitv2_150_384_in22ft1k,757.55,337.918,256,384,9.2,54.25,10.59
+xcit_medium_24_p16_224_dist,748.7,1367.689,1024,224,16.13,31.71,84.4
+xcit_medium_24_p16_224,748.18,1368.635,1024,224,16.13,31.71,84.4
+tresnet_m_448,743.16,1377.885,1024,448,22.94,29.21,31.39
+vit_large_r50_s32_224,742.19,1379.692,1024,224,19.58,24.41,328.99
+hrnet_w48,738.63,1386.343,1024,224,17.34,28.56,77.47
+vit_base_patch16_plus_240,738.11,1387.321,1024,240,27.41,33.08,117.56
+sequencer2d_l,736.17,1390.978,1024,224,9.74,22.12,54.3
+xcit_small_12_p16_384_dist,715.91,1430.327,1024,384,14.14,36.51,26.25
+swinv2_small_window8_256,710.32,1441.594,1024,256,11.58,40.14,49.73
+swin_s3_base_224,693.67,1476.198,1024,224,13.69,48.26,71.13
+vit_small_patch16_384,692.4,1109.164,768,384,15.52,50.78,22.2
+vit_relpos_base_patch16_plus_240,691.79,1480.194,1024,240,27.3,34.33,117.38
+tnt_b_patch16_224,691.78,1480.223,1024,224,14.09,39.01,65.41
+swinv2_cr_base_224,688.11,1488.125,1024,224,15.86,59.66,87.88
+densenet264d_iabn,687.57,1489.287,1024,224,13.47,14.0,72.74
+convit_base,685.88,1492.962,1024,224,17.52,31.77,86.54
+swinv2_cr_base_ns_224,682.58,1500.17,1024,224,15.86,59.66,87.88
+vit_base_patch16_rpn_224,667.73,1533.544,1024,224,17.49,23.75,86.54
+densenet264,664.62,1540.716,1024,224,12.95,12.8,72.69
+deit3_small_patch16_384,664.03,1156.564,768,384,15.52,50.78,22.21
+poolformer_m48,663.83,1542.547,1024,224,11.59,29.17,73.47
+deit3_small_patch16_384_in21ft1k,663.62,1157.274,768,384,15.52,50.78,22.21
+efficientnet_b3_gn,662.87,386.187,256,320,2.14,28.83,11.73
+dpn131,660.11,1551.238,1024,224,16.09,32.97,79.25
+eca_nfnet_l1,655.87,1561.27,1024,320,14.92,34.42,41.41
+vit_relpos_base_patch16_rpn_224,655.49,1562.186,1024,224,17.51,24.97,86.41
+xcit_tiny_24_p8_224,650.45,1574.283,1024,224,9.21,45.39,12.11
+xcit_tiny_24_p8_224_dist,649.22,1577.262,1024,224,9.21,45.39,12.11
+xcit_nano_12_p8_384_dist,643.06,1592.369,1024,384,6.34,46.08,3.05
+nest_base,629.02,813.95,512,224,17.96,53.39,67.72
+volo_d2_224,627.91,1630.781,1024,224,14.34,41.34,58.68
+mobilevitv2_175_384_in22ft1k,627.52,407.942,256,384,12.47,63.29,14.25
+jx_nest_base,621.88,823.3,512,224,17.96,53.39,67.72
+vit_small_r26_s32_384,619.54,619.804,384,384,10.43,29.85,36.47
+senet154,618.82,1654.743,1024,224,20.77,38.69,115.09
+gluon_senet154,618.51,1655.586,1024,224,20.77,38.69,115.09
+legacy_senet154,618.16,1656.503,1024,224,20.77,38.69,115.09
+xception71,616.97,829.852,512,299,18.09,69.92,42.34
+vit_base_r50_s16_224,613.11,1670.152,1024,224,21.66,35.29,98.66
+hrnet_w64,609.7,1679.491,1024,224,28.97,35.09,128.06
+regnety_320,607.61,842.637,512,224,32.34,30.26,145.05
+dpn107,606.08,1689.539,1024,224,18.38,33.46,86.92
+regnetz_c16_evos,598.89,854.904,512,320,3.86,25.88,13.49
+ecaresnet200d,592.5,1728.248,1024,256,20.0,43.15,64.69
+seresnet200d,591.19,1732.085,1024,256,20.01,43.15,71.86
+resnet152d,576.9,1774.999,1024,320,24.08,47.67,60.21
+convnext_large,559.02,1831.761,1024,224,34.4,43.13,197.77
+convnext_large_in22ft1k,558.96,1831.941,1024,224,34.4,43.13,197.77
+regnety_160,558.21,687.896,384,288,26.37,38.07,83.59
+efficientnet_b3_g8_gn,557.9,458.854,256,320,3.2,28.83,14.25
+xcit_small_12_p8_224,546.6,1873.371,1024,224,18.69,47.21,26.21
+xcit_small_12_p8_224_dist,546.45,1873.905,1024,224,18.69,47.21,26.21
+resnext101_64x4d,541.68,1417.803,768,288,25.66,51.59,83.46
+mobilevitv2_200_384_in22ft1k,527.08,364.262,192,384,16.24,72.34,18.45
+halonet_h1,518.76,493.471,256,256,3.0,51.17,8.1
+vit_large_patch32_384,517.18,1979.967,1024,384,45.31,43.86,306.63
+seresnet152d,516.02,1984.399,1024,320,24.09,47.72,66.84
+resnetrs152,512.78,1996.941,1024,320,24.34,48.14,86.62
+swinv2_base_window8_256,507.32,1513.812,768,256,20.37,52.59,87.92
+seresnext101_32x8d,503.19,1526.235,768,288,27.24,51.63,93.57
+convnext_small_384_in22ft1k,494.64,1035.087,512,384,25.58,63.37,50.22
+seresnext101d_32x8d,494.43,1553.287,768,288,27.64,52.95,93.59
+swin_large_patch4_window7_224,478.67,1604.435,768,224,34.53,54.94,196.53
+swinv2_small_window16_256,476.38,1074.753,512,256,12.82,66.29,49.73
+regnetz_e8,474.49,1618.577,768,320,15.46,63.94,57.7
+regnetx_320,471.27,814.799,384,224,31.81,36.3,107.81
+ssl_resnext101_32x16d,471.02,1086.983,512,224,36.27,51.18,194.03
+swsl_resnext101_32x16d,470.83,1087.428,512,224,36.27,51.18,194.03
+ig_resnext101_32x16d,470.74,1087.624,512,224,36.27,51.18,194.03
+mixer_l16_224,470.73,2175.315,1024,224,44.6,41.69,208.2
+seresnextaa101d_32x8d,463.39,1657.351,768,288,28.51,56.44,93.59
+seresnet269d,463.29,2210.273,1024,256,26.59,53.6,113.67
+nf_regnet_b5,450.96,1135.344,512,456,11.7,61.95,49.74
+efficientnetv2_m,449.82,2276.453,1024,416,18.6,67.5,54.14
+volo_d3_224,439.99,2327.294,1024,224,20.78,60.09,86.33
+efficientnet_b5,425.78,601.238,256,456,10.46,98.86,30.39
+xcit_large_24_p16_224_dist,423.07,2420.403,1024,224,35.86,47.27,189.1
+xcit_large_24_p16_224,422.98,2420.908,1024,224,35.86,47.27,189.1
+xcit_tiny_12_p8_384_dist,419.35,2441.847,1024,384,14.13,69.14,6.71
+resnet200d,417.0,2455.593,1024,320,31.25,67.33,64.69
+efficientnetv2_rw_m,411.82,1864.879,768,416,21.49,79.62,53.24
+tf_efficientnet_b5_ns,408.16,627.186,256,456,10.46,98.86,30.39
+swinv2_cr_tiny_384,408.1,627.286,256,384,15.34,161.01,28.33
+tf_efficientnet_b5,407.78,627.773,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ap,407.68,627.936,256,456,10.46,98.86,30.39
+swinv2_cr_large_224,405.25,1895.127,768,224,35.1,78.42,196.68
+resnetv2_50x1_bitm,401.93,955.37,384,448,16.62,44.46,25.55
+nfnet_f1,399.69,2561.946,1024,320,35.97,46.77,132.63
+xcit_small_24_p16_384_dist,382.57,2676.633,1024,384,26.72,68.58,47.67
+regnetz_d8_evos,376.87,2037.797,768,320,7.03,38.92,23.46
+tresnet_l_448,371.52,2756.242,1024,448,43.5,47.56,55.99
+vit_large_patch16_224,369.7,2769.802,1024,224,61.6,63.52,304.33
+resnetrs200,368.58,2778.22,1024,320,31.51,67.81,93.21
+convnext_xlarge_in22ft1k,368.02,1391.221,512,224,60.98,57.5,350.2
+crossvit_15_dagger_408,366.37,698.731,256,408,21.45,95.05,28.5
+vit_base_patch16_18x2_224,361.96,2829.064,1024,224,52.51,71.38,256.73
+deit3_large_patch16_224,358.07,2859.733,1024,224,61.6,63.52,304.37
+deit3_large_patch16_224_in21ft1k,357.9,2861.143,1024,224,61.6,63.52,304.37
+dm_nfnet_f1,357.87,2146.026,768,320,35.97,46.77,132.63
+tf_efficientnetv2_m,350.54,2190.896,768,480,24.76,89.84,54.14
+tf_efficientnetv2_m_in21ft1k,350.14,2193.372,768,480,24.76,89.84,54.14
+swinv2_base_window16_256,345.6,1111.087,384,256,22.02,84.71,87.92
+swinv2_base_window12to16_192to256_22kft1k,345.47,1111.525,384,256,22.02,84.71,87.92
+convnext_base_384_in22ft1k,344.56,1485.926,512,384,45.21,84.49,88.59
+beit_large_patch16_224,342.32,2991.347,1024,224,61.6,63.52,304.43
+eca_nfnet_l2,322.02,2384.947,768,384,30.05,68.28,56.72
+volo_d1_384,293.04,1747.159,512,384,22.75,108.55,26.78
+convmixer_768_32,292.83,3496.872,1024,224,19.55,25.95,21.11
+resnetv2_152x2_bit_teacher,291.46,2634.992,768,224,46.95,45.11,236.34
+deit_base_patch16_384,288.65,1330.327,384,384,55.54,101.56,86.86
+vit_base_patch16_384,288.47,1331.141,384,384,55.54,101.56,86.86
+resnest200e,288.19,1776.58,512,320,35.69,82.78,70.2
+xcit_small_24_p8_224,286.12,3578.848,1024,224,35.81,90.78,47.63
+xcit_small_24_p8_224_dist,286.06,3579.677,1024,224,35.81,90.78,47.63
+deit_base_distilled_patch16_384,284.56,1349.413,384,384,55.65,101.82,87.63
+volo_d4_224,282.61,3623.333,1024,224,44.34,80.22,192.96
+deit3_base_patch16_384,277.81,1382.217,384,384,55.54,101.56,86.88
+deit3_base_patch16_384_in21ft1k,277.78,1382.367,384,384,55.54,101.56,86.88
+tresnet_xl_448,277.15,2771.052,768,448,60.65,61.31,78.44
+nasnetalarge,276.88,1386.877,384,331,23.89,90.56,88.75
+vit_large_patch14_224,271.51,3771.489,1024,224,81.08,88.79,304.2
+cait_xxs24_384,269.82,3795.14,1024,384,9.63,122.66,12.03
+crossvit_18_dagger_408,269.4,950.247,256,408,32.47,124.87,44.61
+xcit_medium_24_p16_384_dist,269.2,2852.889,768,384,47.39,91.64,84.4
+pnasnet5large,264.84,1449.925,384,331,25.04,92.89,86.06
+resnetv2_101x1_bitm,252.59,1520.226,384,448,31.65,64.93,44.54
+efficientnet_b6,252.26,507.392,128,528,19.4,167.39,43.04
+swinv2_cr_small_384,250.03,1023.876,256,384,29.7,298.03,49.7
+beit_base_patch16_384,247.68,1550.363,384,384,55.54,101.56,86.74
+vit_large_r50_s32_384,246.17,1559.866,384,384,57.43,76.52,329.09
+tf_efficientnet_b6_ns,242.42,527.986,128,528,19.4,167.39,43.04
+tf_efficientnet_b6,242.34,528.179,128,528,19.4,167.39,43.04
+tf_efficientnet_b6_ap,242.3,528.255,128,528,19.4,167.39,43.04
+ecaresnet269d,241.69,4236.816,1024,352,50.25,101.25,102.09
+resnetrs270,234.11,4373.986,1024,352,51.13,105.48,129.86
+nfnet_f2,224.73,4556.614,1024,352,63.22,79.06,193.78
+swin_base_patch4_window12_384,220.36,871.278,192,384,47.19,134.78,87.9
+xcit_tiny_24_p8_384_dist,219.9,4656.678,1024,384,27.05,132.95,12.11
+resmlp_big_24_224,218.18,4693.363,1024,224,100.23,87.31,129.14
+resmlp_big_24_224_in22ft1k,217.68,4704.164,1024,224,100.23,87.31,129.14
+resmlp_big_24_distilled_224,217.65,4704.831,1024,224,100.23,87.31,129.14
+swinv2_large_window12to16_192to256_22kft1k,211.96,1207.756,256,256,47.81,121.53,196.74
+efficientnetv2_l,206.63,2477.808,512,480,56.4,157.99,118.52
+tf_efficientnetv2_l,204.52,2503.355,512,480,56.4,157.99,118.52
+tf_efficientnetv2_l_in21ft1k,204.48,2503.917,512,480,56.4,157.99,118.52
+ig_resnext101_32x32d,202.59,1263.594,256,224,87.29,91.12,468.53
+xcit_medium_24_p8_224,202.12,5066.293,1024,224,63.53,121.23,84.32
+xcit_medium_24_p8_224_dist,201.88,5072.196,1024,224,63.53,121.23,84.32
+dm_nfnet_f2,200.18,3836.576,768,352,63.22,79.06,193.78
+convnext_large_384_in22ft1k,190.55,1343.472,256,384,101.1,126.74,197.77
+vit_base_patch8_224,188.25,1359.85,256,224,78.22,161.69,86.58
+volo_d5_224,187.56,5459.662,1024,224,72.4,118.11,295.46
+cait_xs24_384,186.33,4121.716,768,384,19.28,183.98,26.67
+xcit_small_12_p8_384_dist,183.57,2091.823,384,384,54.92,138.29,26.21
+eca_nfnet_l3,182.91,2799.141,512,448,52.55,118.4,72.04
+cait_xxs36_384,180.41,5675.791,1024,384,14.35,183.7,17.37
+swinv2_cr_base_384,178.38,1435.085,256,384,50.57,333.68,87.88
+vit_base_resnet50_384,177.85,2159.087,384,384,67.43,135.03,98.95
+vit_base_r50_s16_384,177.6,2162.196,384,384,67.43,135.03,98.95
+swinv2_cr_huge_224,175.47,2188.347,384,224,115.97,121.08,657.83
+convmixer_1536_20,167.1,6128.044,1024,224,48.68,33.03,51.63
+volo_d2_384,164.75,1553.889,256,384,46.17,184.51,58.87
+resnetrs350,156.77,4898.75,768,384,77.59,154.74,163.96
+xcit_large_24_p16_384_dist,154.33,3317.602,512,384,105.35,137.17,189.1
+vit_huge_patch14_224,146.32,6998.359,1024,224,167.4,139.41,632.05
+efficientnet_b7,145.11,661.558,96,600,38.33,289.94,66.35
+cait_s24_384,144.99,3531.336,512,384,32.17,245.31,47.06
+deit3_huge_patch14_224,142.26,7197.843,1024,224,167.4,139.41,632.13
+deit3_huge_patch14_224_in21ft1k,142.17,7202.758,1024,224,167.4,139.41,632.13
+tf_efficientnet_b7_ns,140.64,682.566,96,600,38.33,289.94,66.35
+tf_efficientnet_b7_ap,140.61,682.704,96,600,38.33,289.94,66.35
+tf_efficientnet_b7,140.6,682.756,96,600,38.33,289.94,66.35
+efficientnetv2_xl,139.56,2751.573,384,512,93.85,247.32,208.12
+tf_efficientnetv2_xl_in21ft1k,138.42,2774.117,384,512,93.85,247.32,208.12
+resnest269e,135.65,2830.833,384,416,77.69,171.98,110.93
+swin_large_patch4_window12_384,130.35,981.936,128,384,104.08,202.16,196.74
+convnext_xlarge_384_in22ft1k,125.25,1532.9,192,384,179.2,168.99,350.2
+nfnet_f3,124.74,4104.555,512,416,115.58,141.78,254.92
+ig_resnext101_32x48d,118.28,1623.193,192,224,153.57,131.06,828.41
+xcit_large_24_p8_224,115.22,4443.765,512,224,141.23,181.56,188.93
+xcit_large_24_p8_224_dist,115.18,4445.056,512,224,141.23,181.56,188.93
+resnetrs420,112.12,6849.78,768,416,108.45,213.79,191.89
+dm_nfnet_f3,110.18,4647.097,512,416,115.58,141.78,254.92
+swinv2_cr_large_384,108.04,1184.75,128,384,108.95,404.96,196.68
+resnetv2_50x3_bitm,102.09,1253.798,128,448,145.7,133.37,217.32
+resnetv2_152x2_bit_teacher_384,98.91,2588.163,256,384,136.16,132.56,236.34
+vit_large_patch16_384,97.45,2626.88,256,384,191.21,270.24,304.72
+cait_s36_384,97.05,5275.469,512,384,47.99,367.4,68.37
+xcit_small_24_p8_384_dist,96.34,3985.916,384,384,105.24,265.91,47.63
+vit_giant_patch14_224,95.73,8022.929,768,224,267.18,192.64,1012.61
+deit3_large_patch16_384,94.64,2704.996,256,384,191.21,270.24,304.76
+deit3_large_patch16_384_in21ft1k,94.52,2708.314,256,384,191.21,270.24,304.76
+swinv2_base_window12to24_192to384_22kft1k,94.37,678.174,64,384,55.25,280.36,87.92
+efficientnet_b8,91.29,1051.594,96,672,63.48,442.89,87.41
+tf_efficientnet_b8,88.95,1079.277,96,672,63.48,442.89,87.41
+tf_efficientnet_b8_ap,88.84,1080.533,96,672,63.48,442.89,87.41
+beit_large_patch16_384,84.67,3023.634,256,384,191.21,270.24,305.0
+resnetv2_152x2_bitm,73.09,2626.956,192,448,184.99,180.43,236.34
+volo_d3_448,72.41,2651.496,192,448,96.33,446.83,86.63
+nfnet_f4,69.91,5493.031,384,512,216.26,262.26,316.07
+xcit_medium_24_p8_384_dist,67.93,3768.466,256,384,186.67,354.73,84.32
+dm_nfnet_f4,62.55,4092.528,256,512,216.26,262.26,316.07
+resnetv2_101x3_bitm,61.05,2096.759,128,448,280.33,194.78,387.93
+swinv2_large_window12to24_192to384_22kft1k,59.71,803.821,48,384,116.15,407.83,196.74
+vit_gigantic_patch14_224,57.59,8890.782,512,224,483.95,275.37,1844.44
+tf_efficientnet_l2_ns_475,56.35,1135.833,64,475,172.11,609.89,480.31
+volo_d4_448,52.92,2418.622,128,448,197.13,527.35,193.41
+swinv2_cr_giant_224,50.53,2532.906,128,224,483.85,309.15,2598.76
+nfnet_f5,49.64,5157.064,256,544,290.97,349.71,377.21
+swinv2_cr_huge_384,47.06,1360.056,64,384,352.04,583.18,657.94
+dm_nfnet_f5,44.17,5795.363,256,544,290.97,349.71,377.21
+xcit_large_24_p8_384_dist,38.64,4968.379,192,384,415.0,531.82,188.93
+nfnet_f6,37.99,6738.223,256,576,378.69,452.2,438.36
+volo_d5_448,36.49,3507.831,128,448,315.06,737.92,295.91
+beit_large_patch16_512,33.88,2833.282,96,512,362.24,656.39,305.67
+dm_nfnet_f6,33.83,7567.962,256,576,378.69,452.2,438.36
+cait_m36_384,31.72,8071.786,256,384,173.11,734.81,271.22
+nfnet_f7,30.38,8426.213,256,608,480.39,570.85,499.5
+volo_d5_512,25.58,3752.221,96,512,425.09,1105.37,296.09
+resnetv2_152x4_bitm,22.67,4234.474,96,480,844.84,414.26,936.53
+efficientnet_l2,20.51,1169.975,24,800,479.12,1707.39,480.31
+tf_efficientnet_l2_ns,20.15,1191.261,24,800,479.12,1707.39,480.31
+swinv2_cr_giant_384,14.62,2188.205,32,384,1450.71,1394.86,2598.76
+cait_m48_448,13.47,9503.031,128,448,329.41,1708.23,356.46
diff --git a/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
index e33d9c36..d795b95e 100644
--- a/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
@@ -1,835 +1,835 @@
-model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
-tinynet_e,70939.06,14.424,1024,106,2.04
-mobilenetv3_small_050,53363.87,19.179,1024,224,1.59
-lcnet_035,39908.29,25.648,1024,224,1.64
-mobilenetv3_small_075,38048.72,26.902,1024,224,2.04
-tinynet_d,35634.7,28.724,1024,152,2.34
-lcnet_050,35231.0,29.055,1024,224,1.88
-mobilenetv3_small_100,34913.55,29.319,1024,224,2.54
-tf_mobilenetv3_small_minimal_100,31288.96,32.716,1024,224,2.04
-tf_mobilenetv3_small_075,30676.85,33.368,1024,224,2.04
-lcnet_075,30088.74,34.022,1024,224,2.36
-tf_mobilenetv3_small_100,28547.5,35.858,1024,224,2.54
-lcnet_100,23945.91,42.753,1024,224,2.95
-mnasnet_small,22244.35,46.024,1024,224,2.03
-levit_128s,22002.58,46.529,1024,224,7.78
-mobilenetv2_035,20937.19,48.897,1024,224,1.68
-mnasnet_050,18984.06,53.93,1024,224,2.22
-ghostnet_050,18415.88,55.593,1024,224,2.59
-tinynet_c,17846.73,57.365,1024,184,2.46
-mobilenetv2_050,16928.19,60.48,1024,224,1.97
-semnasnet_050,16394.61,62.449,1024,224,2.08
-lcnet_150,15508.0,66.02,1024,224,4.5
-gernet_s,15282.73,66.993,1024,224,8.17
-levit_128,14929.05,68.581,1024,224,9.21
-cs3darknet_focus_s,14654.05,69.868,1024,256,3.27
-cs3darknet_s,14422.34,70.991,1024,256,3.28
-mobilenetv3_large_075,14412.2,71.04,1024,224,3.99
-mixer_s32_224,13576.58,75.414,1024,224,19.1
-resnet10t,13509.21,75.789,1024,224,5.44
-mobilenetv3_rw,13202.47,77.551,1024,224,5.48
-levit_192,13174.02,77.717,1024,224,10.95
-mobilenetv3_large_100,12955.77,79.027,1024,224,5.48
-mobilenetv3_large_100_miil,12954.49,79.035,1024,224,5.48
-vit_small_patch32_224,12913.76,79.284,1024,224,22.88
-hardcorenas_a,12748.25,80.313,1024,224,5.26
-mnasnet_075,12700.79,80.614,1024,224,3.17
-tf_mobilenetv3_large_075,12296.64,83.262,1024,224,3.99
-tinynet_b,12104.09,84.587,1024,188,3.73
-tf_mobilenetv3_large_minimal_100,11915.92,85.923,1024,224,3.92
-hardcorenas_b,11667.78,87.752,1024,224,5.18
-hardcorenas_c,11602.35,88.247,1024,224,5.52
-ese_vovnet19b_slim_dw,11450.49,89.417,1024,224,1.9
-mnasnet_b1,11305.32,90.567,1024,224,4.38
-mnasnet_100,11303.72,90.578,1024,224,4.38
-tf_mobilenetv3_large_100,11165.87,91.695,1024,224,5.48
-gluon_resnet18_v1b,11046.16,92.691,1024,224,11.69
-ssl_resnet18,11027.01,92.852,1024,224,11.69
-resnet18,11023.6,92.881,1024,224,11.69
-swsl_resnet18,11003.86,93.048,1024,224,11.69
-semnasnet_075,10953.15,93.479,1024,224,2.91
-regnetx_004,10946.78,93.533,1024,224,5.16
-hardcorenas_d,10898.13,93.95,1024,224,7.5
-mobilenetv2_075,10779.36,94.985,1024,224,2.64
-ghostnet_100,10498.38,97.527,1024,224,5.18
-seresnet18,10333.85,99.081,1024,224,11.78
-vit_tiny_r_s16_p8_224,10273.23,99.666,1024,224,6.34
-spnasnet_100,10240.55,99.983,1024,224,4.42
-legacy_seresnet18,10026.58,102.118,1024,224,11.78
-mnasnet_a1,9730.7,105.223,1024,224,3.89
-semnasnet_100,9728.29,105.249,1024,224,3.89
-tf_efficientnetv2_b0,9714.68,105.397,1024,224,7.14
-tinynet_a,9706.17,105.487,1024,192,6.19
-hardcorenas_f,9654.05,106.058,1024,224,8.2
-mobilenetv2_100,9591.46,106.751,1024,224,3.5
-levit_256,9580.42,106.874,1024,224,18.89
-regnetx_002,9551.99,107.191,1024,224,2.68
-hardcorenas_e,9521.78,107.531,1024,224,8.07
-efficientnet_lite0,9415.07,108.751,1024,224,4.65
-regnety_002,9227.09,110.966,1024,224,3.16
-fbnetc_100,9182.63,111.504,1024,224,5.57
-resnet18d,9153.04,111.864,1024,224,11.71
-regnety_006,9048.64,113.154,1024,224,6.06
-ese_vovnet19b_slim,8822.42,116.057,1024,224,3.17
-ghostnet_130,8402.81,121.852,1024,224,7.36
-regnetx_006,8395.84,121.954,1024,224,6.2
-levit_256d,8131.84,125.914,1024,224,26.21
-tf_efficientnet_lite0,8115.07,126.174,1024,224,4.65
-regnetz_005,8104.32,126.341,1024,224,7.12
-efficientnet_b0,8015.36,127.743,1024,224,5.29
-xcit_nano_12_p16_224_dist,7700.28,132.971,1024,224,3.05
-xcit_nano_12_p16_224,7692.58,133.102,1024,224,3.05
-mnasnet_140,7484.35,136.808,1024,224,7.12
-rexnetr_100,7414.06,138.105,1024,224,4.88
-resnet14t,7298.17,140.296,1024,224,10.08
-mobilenetv2_110d,7233.3,141.556,1024,224,4.52
-regnetx_008,7112.68,143.957,1024,224,7.26
-tf_efficientnet_b0_ns,7058.22,145.067,1024,224,5.29
-tf_efficientnet_b0_ap,7055.15,145.131,1024,224,5.29
-tf_efficientnet_b0,7052.24,145.19,1024,224,5.29
-edgenext_xx_small,6998.78,146.298,1024,256,1.33
-dla46_c,6933.78,147.671,1024,224,1.3
-deit_tiny_patch16_224,6855.38,149.36,1024,224,5.72
-vit_tiny_patch16_224,6844.8,149.592,1024,224,5.72
-regnety_008,6827.19,149.977,1024,224,6.26
-gernet_m,6753.27,151.619,1024,224,21.14
-deit_tiny_distilled_patch16_224,6720.97,152.347,1024,224,5.91
-efficientnet_b1_pruned,6608.04,154.952,1024,240,6.33
-hrnet_w18_small,6603.38,155.061,1024,224,13.19
-gluon_resnet34_v1b,6434.28,159.136,1024,224,21.8
-semnasnet_140,6428.21,159.287,1024,224,6.11
-tv_resnet34,6406.04,159.838,1024,224,21.8
-resnet34,6404.45,159.878,1024,224,21.8
-ese_vovnet19b_dw,6353.89,161.15,1024,224,6.54
-rexnet_100,6291.85,162.738,1024,224,4.8
-mobilenetv2_140,6258.1,163.617,1024,224,6.11
-mobilevitv2_050,6228.2,164.403,1024,256,1.37
-efficientnet_lite1,6215.56,164.736,1024,240,5.42
-tf_efficientnetv2_b1,6143.78,166.661,1024,240,8.14
-visformer_tiny,6090.13,168.13,1024,224,10.32
-fbnetv3_b,6012.29,170.307,1024,256,8.6
-seresnet34,5988.65,170.978,1024,224,21.96
-resnet26,5923.37,172.863,1024,224,16.0
-efficientnet_es,5871.09,174.403,1024,224,5.44
-efficientnet_es_pruned,5866.42,174.542,1024,224,5.44
-selecsls42,5796.58,176.643,1024,224,30.35
-pit_ti_distilled_224,5792.34,176.773,1024,224,5.1
-legacy_seresnet34,5780.67,177.13,1024,224,21.96
-selecsls42b,5766.92,177.544,1024,224,32.46
-pit_ti_224,5764.0,177.643,1024,224,4.85
-resnet34d,5748.0,178.138,1024,224,21.82
-levit_384,5659.16,180.934,1024,224,39.13
-tf_efficientnet_es,5608.15,182.58,1024,224,5.44
-resnetblur18,5572.02,183.764,1024,224,11.69
-tf_efficientnet_lite1,5541.93,184.761,1024,240,5.42
-rexnetr_130,5487.71,186.587,1024,224,7.61
-cs3darknet_m,5481.96,186.783,1024,288,9.31
-mixnet_s,5402.43,189.533,1024,224,4.13
-regnety_004,5382.71,190.227,1024,224,4.34
-skresnet18,5371.9,190.61,1024,224,11.96
-darknet17,5347.86,143.598,768,256,14.3
-mobilevit_xxs,5306.36,192.964,1024,256,1.27
-cs3darknet_focus_m,5289.88,193.566,1024,288,9.3
-mobilenetv2_120d,5178.64,197.724,1024,224,5.83
-repvgg_b0,5161.18,198.394,1024,224,15.82
-xcit_tiny_12_p16_224_dist,5107.76,200.467,1024,224,6.72
-xcit_tiny_12_p16_224,5104.48,200.597,1024,224,6.72
-resnet26d,5093.48,201.03,1024,224,16.01
-tf_mixnet_s,4981.9,205.528,1024,224,4.13
-vit_base_patch32_224_sam,4925.79,207.875,1024,224,88.22
-vit_base_patch32_224,4923.14,207.986,1024,224,88.22
-selecsls60,4922.02,208.033,1024,224,30.67
-mixer_b32_224,4909.46,208.566,1024,224,60.29
-selecsls60b,4902.59,208.858,1024,224,32.77
-rexnetr_150,4887.15,209.518,1024,224,9.78
-nf_resnet26,4834.78,211.787,1024,224,16.0
-darknet21,4804.05,159.854,768,256,20.86
-resmlp_12_distilled_224,4801.62,213.251,1024,224,15.35
-resmlp_12_224,4801.47,213.257,1024,224,15.35
-efficientnet_lite2,4791.14,213.716,1024,260,6.09
-pit_xs_224,4790.75,213.733,1024,224,10.62
-fbnetv3_d,4788.83,213.819,1024,256,10.31
-pit_xs_distilled_224,4740.73,215.989,1024,224,11.0
-dla34,4712.5,217.283,1024,224,15.74
-sedarknet21,4615.23,166.394,768,256,20.95
-resnext26ts,4512.74,226.902,1024,256,10.3
-tf_efficientnetv2_b2,4506.54,227.212,1024,260,10.1
-mixer_s16_224,4471.0,229.021,1024,224,18.53
-legacy_seresnext26_32x4d,4467.81,229.184,1024,224,16.79
-edgenext_x_small,4458.42,229.664,1024,256,2.34
-gernet_l,4450.89,230.055,1024,256,31.08
-tf_efficientnet_b1,4403.29,232.542,1024,240,7.79
-tf_efficientnet_b1_ns,4402.75,232.57,1024,240,7.79
-tf_efficientnet_b1_ap,4402.24,232.597,1024,240,7.79
-eca_resnext26ts,4354.84,235.13,1024,256,10.3
-seresnext26ts,4350.24,235.378,1024,256,10.39
-tf_efficientnet_lite2,4300.72,238.087,1024,260,6.09
-gcresnext26ts,4295.78,238.361,1024,256,10.48
-rexnet_130,4282.77,239.085,1024,224,7.56
-efficientnet_b1,4273.32,239.615,1024,256,7.79
-gmlp_ti16_224,4143.15,247.143,1024,224,5.87
-efficientnet_b0_g16_evos,4127.77,248.064,1024,224,8.11
-crossvit_tiny_240,4122.07,248.408,1024,240,7.01
-nf_ecaresnet26,4104.24,249.486,1024,224,16.0
-efficientnet_b2_pruned,4103.05,249.558,1024,260,8.31
-nf_seresnet26,4102.39,249.599,1024,224,17.4
-mobilevitv2_075,4066.07,251.829,1024,256,2.87
-vit_small_patch32_384,4025.63,254.359,1024,384,22.92
-ecaresnext50t_32x4d,4000.29,255.97,1024,224,15.41
-ecaresnext26t_32x4d,3998.13,256.108,1024,224,15.41
-seresnext26tn_32x4d,3995.56,256.274,1024,224,16.81
-seresnext26t_32x4d,3993.92,256.378,1024,224,16.81
-seresnext26d_32x4d,3982.98,257.083,1024,224,16.81
-resnet26t,3922.56,261.042,1024,256,16.01
-dla46x_c,3917.72,261.363,1024,224,1.07
-rexnet_150,3870.49,264.554,1024,224,9.73
-resnetv2_50,3868.33,264.701,1024,224,25.55
-crossvit_9_240,3865.11,264.922,1024,240,8.55
-convnext_nano_ols,3859.14,265.333,1024,224,15.6
-nf_regnet_b0,3819.49,268.086,1024,256,8.76
-ecaresnet50d_pruned,3812.92,268.549,1024,224,19.94
-regnetx_016,3808.7,268.846,1024,224,9.19
-crossvit_9_dagger_240,3792.18,270.018,1024,240,8.78
-dla60x_c,3787.69,270.337,1024,224,1.32
-convnext_nano_hnf,3786.83,270.399,1024,224,15.59
-ecaresnetlight,3729.3,274.57,1024,224,30.16
-poolformer_s12,3722.39,275.081,1024,224,11.92
-gmixer_12_224,3686.02,277.795,1024,224,12.7
-gluon_resnet50_v1b,3677.5,278.438,1024,224,25.56
-resnet50,3676.35,278.526,1024,224,25.56
-ssl_resnet50,3674.86,278.638,1024,224,25.56
-tv_resnet50,3673.31,278.756,1024,224,25.56
-swsl_resnet50,3672.81,278.794,1024,224,25.56
-dpn68,3650.67,280.484,1024,224,12.61
-dpn68b,3606.63,283.907,1024,224,12.61
-botnet26t_256,3555.59,287.983,1024,256,12.49
-regnety_016,3516.07,291.222,1024,224,11.2
-repvgg_a2,3514.85,291.324,1024,224,28.21
-resnetv2_50t,3513.08,291.47,1024,224,25.57
-efficientnet_em,3504.92,292.149,1024,240,6.9
-mixnet_m,3496.31,292.868,1024,224,5.01
-resnetv2_50d,3496.21,292.876,1024,224,25.57
-rexnetr_200,3492.0,219.921,768,224,16.52
-halonet26t,3480.88,294.167,1024,256,12.48
-gluon_resnet50_v1c,3476.97,294.498,1024,224,25.58
-resnet32ts,3465.97,295.433,1024,256,17.96
-bat_resnext26ts,3457.26,296.173,1024,256,10.73
-resnet33ts,3415.09,299.834,1024,256,19.68
-tf_efficientnet_b2_ns,3414.14,299.918,1024,260,9.11
-tf_efficientnet_b2,3412.6,300.052,1024,260,9.11
-tf_efficientnet_b2_ap,3412.15,300.092,1024,260,9.11
-tf_efficientnet_em,3389.12,302.132,1024,240,6.9
-resnet50t,3345.79,306.045,1024,224,25.57
-gluon_resnet50_v1d,3337.44,306.809,1024,224,25.58
-resnet50d,3336.65,306.882,1024,224,25.58
-vit_tiny_r_s16_p8_384,3314.06,154.482,512,384,6.36
-legacy_seresnet50,3311.17,309.245,1024,224,28.09
-seresnet33ts,3304.6,309.859,1024,256,19.78
-tf_mixnet_m,3303.11,309.997,1024,224,5.01
-eca_resnet33ts,3297.96,310.484,1024,256,19.68
-convit_tiny,3289.83,311.251,1024,224,5.71
-gcresnet33ts,3263.32,313.778,1024,256,19.88
-vit_small_resnet26d_224,3252.42,314.83,1024,224,63.61
-vovnet39a,3229.96,317.018,1024,224,22.6
-efficientnet_b2a,3221.33,317.868,1024,288,9.11
-efficientnet_b2,3221.08,317.894,1024,288,9.11
-efficientnet_b3_pruned,3195.08,320.48,1024,300,9.86
-seresnet50,3183.22,321.675,1024,224,28.09
-cs3darknet_l,3171.55,322.859,1024,288,21.16
-cs3darknet_focus_l,3146.07,325.473,1024,288,21.15
-res2net50_48w_2s,3141.04,325.995,1024,224,25.29
-eca_vovnet39b,3123.78,327.796,1024,224,22.6
-ese_vovnet39b,3117.85,328.419,1024,224,24.57
-mobilevit_xs,3095.24,248.113,768,256,2.32
-resnext50_32x4d,3092.67,331.094,1024,224,25.03
-ssl_resnext50_32x4d,3089.61,331.422,1024,224,25.03
-gluon_resnext50_32x4d,3087.43,331.656,1024,224,25.03
-swsl_resnext50_32x4d,3086.28,331.779,1024,224,25.03
-tv_resnext50_32x4d,3085.42,331.872,1024,224,25.03
-hrnet_w18_small_v2,3075.57,332.934,1024,224,15.6
-eca_botnext26ts_256,3069.01,333.646,1024,256,10.59
-dla60,3049.62,335.767,1024,224,22.04
-vgg11,3048.59,167.933,512,224,132.86
-skresnet34,3035.0,337.386,1024,224,22.28
-mobilevitv2_100,3028.13,253.611,768,256,4.9
-vit_small_patch16_224,3005.65,340.679,1024,224,22.05
-deit_small_patch16_224,3005.16,340.735,1024,224,22.05
-eca_halonext26ts,2980.4,343.567,1024,256,10.76
-resnetaa50d,2972.16,344.518,1024,224,25.58
-ecaresnet101d_pruned,2963.47,345.529,1024,224,24.88
-coat_lite_tiny,2957.59,346.216,1024,224,5.72
-cs3sedarknet_l,2955.87,346.418,1024,288,21.91
-deit_small_distilled_patch16_224,2950.21,347.082,1024,224,22.44
-gluon_resnet50_v1s,2947.99,347.343,1024,224,25.68
-resnetrs50,2945.06,347.688,1024,224,35.69
-seresnet50t,2939.07,348.397,1024,224,28.1
-densenet121,2936.15,348.744,1024,224,7.98
-pit_s_224,2935.87,348.777,1024,224,23.46
-ecaresnet50d,2934.67,348.92,1024,224,25.58
-tv_densenet121,2927.3,349.799,1024,224,7.98
-selecsls84,2927.1,349.822,1024,224,50.95
-pit_s_distilled_224,2909.88,351.892,1024,224,24.04
-vit_relpos_base_patch32_plus_rpn_256,2858.63,358.203,1024,256,119.42
-deit3_small_patch16_224_in21ft1k,2858.2,358.255,1024,224,22.06
-deit3_small_patch16_224,2853.97,358.786,1024,224,22.06
-resnext50d_32x4d,2849.78,359.313,1024,224,25.05
-vit_relpos_small_patch16_rpn_224,2814.18,363.86,1024,224,21.97
-densenet121d,2808.28,364.624,1024,224,8.0
-cspresnet50,2805.19,365.024,1024,256,21.62
-vit_relpos_small_patch16_224,2800.45,365.643,1024,224,21.98
-gcresnext50ts,2798.56,365.89,1024,256,15.67
-vit_srelpos_small_patch16_224,2795.09,366.343,1024,224,21.97
-coat_lite_mini,2774.65,369.044,1024,224,11.01
-haloregnetz_b,2774.49,369.064,1024,224,11.68
-vit_base_patch32_plus_256,2772.64,369.31,1024,256,119.48
-rexnet_200,2762.14,278.034,768,224,16.37
-res2net50_26w_4s,2757.69,371.313,1024,224,25.7
-seresnext50_32x4d,2741.98,373.44,1024,224,27.56
-gluon_seresnext50_32x4d,2737.7,374.024,1024,224,27.56
-legacy_seresnext50_32x4d,2737.27,374.083,1024,224,27.56
-xcit_tiny_24_p16_224_dist,2733.14,374.648,1024,224,12.12
-xcit_tiny_24_p16_224,2731.46,374.879,1024,224,12.12
-xcit_nano_12_p16_384_dist,2727.34,375.445,1024,384,3.05
-dla60x,2724.01,375.903,1024,224,17.35
-gcresnet50t,2718.77,376.628,1024,256,25.9
-vgg11_bn,2701.91,189.486,512,224,132.87
-visformer_small,2695.9,379.825,1024,224,40.22
-lambda_resnet26rpt_256,2689.85,380.679,1024,256,10.99
-mixnet_l,2682.98,286.237,768,224,7.33
-resnetblur50,2682.32,381.746,1024,224,25.56
-vovnet57a,2674.97,382.797,1024,224,36.64
-efficientnet_lite3,2659.04,192.54,512,300,8.2
-cspresnet50d,2649.78,386.434,1024,256,21.64
-seresnetaa50d,2644.86,387.154,1024,224,28.11
-efficientnetv2_rw_t,2633.28,388.856,1024,288,13.65
-cspresnet50w,2624.25,390.195,1024,256,28.12
-twins_svt_small,2599.22,393.951,1024,224,24.06
-tf_efficientnetv2_b3,2587.08,395.8,1024,300,14.36
-nf_regnet_b2,2583.08,396.413,1024,272,14.31
-vit_base_resnet26d_224,2575.01,397.656,1024,224,101.4
-ese_vovnet57b,2572.63,398.024,1024,224,38.61
-fbnetv3_g,2570.51,398.353,1024,288,16.62
-gc_efficientnetv2_rw_t,2557.73,400.342,1024,288,13.68
-tf_mixnet_l,2550.98,301.047,768,224,7.33
-nf_regnet_b1,2527.71,405.098,1024,288,10.22
-res2net50_14w_8s,2514.56,407.217,1024,224,25.06
-inception_v3,2512.32,407.579,1024,299,23.83
-densenetblur121d,2509.93,407.967,1024,224,8.0
-adv_inception_v3,2509.35,408.057,1024,299,23.83
-tf_inception_v3,2505.31,408.714,1024,299,23.83
-gluon_inception_v3,2501.93,409.271,1024,299,23.83
-resnetblur50d,2498.32,409.863,1024,224,25.58
-nf_ecaresnet50,2492.25,410.862,1024,224,25.56
-nf_seresnet50,2488.35,411.506,1024,224,28.09
-resmlp_24_224,2465.19,415.371,1024,224,30.02
-resmlp_24_distilled_224,2463.93,415.584,1024,224,30.02
-mobilevit_s,2450.02,313.456,768,256,5.58
-regnetx_032,2449.76,417.988,1024,224,15.3
-cspresnext50,2440.84,419.515,1024,256,20.57
-dla60_res2net,2430.52,421.296,1024,224,20.85
-resnest14d,2424.63,422.32,1024,224,10.61
-densenet169,2421.68,422.835,1024,224,14.15
-convnext_tiny_hnfd,2418.1,423.46,1024,224,28.59
-convnext_tiny_hnf,2414.45,424.101,1024,224,28.59
-tf_efficientnet_lite3,2396.12,213.668,512,300,8.2
-sehalonet33ts,2392.73,427.951,1024,256,13.69
-efficientnet_cc_b0_4e,2389.83,428.47,1024,224,13.31
-efficientnet_cc_b0_8e,2386.88,429.0,1024,224,24.01
-convnext_tiny_in22ft1k,2380.94,430.068,1024,224,28.59
-convnext_tiny,2379.5,430.329,1024,224,28.59
-regnetz_b16,2348.93,435.929,1024,288,9.72
-resnetv2_101,2321.74,441.036,1024,224,44.54
-tf_efficientnet_cc_b0_4e,2293.39,446.488,1024,224,13.31
-semobilevit_s,2279.96,336.836,768,256,5.74
-gluon_resnet101_v1b,2249.95,455.108,1024,224,44.55
-tv_resnet101,2246.24,455.861,1024,224,44.55
-resnet101,2246.09,455.891,1024,224,44.55
-mobilevitv2_125,2233.52,343.842,768,256,7.48
-skresnet50,2232.97,458.569,1024,224,25.8
-ecaresnet26t,2203.93,464.611,1024,320,16.01
-resnetv2_101d,2180.36,469.635,1024,224,44.56
-gluon_resnet101_v1c,2174.26,470.952,1024,224,44.57
-twins_pcpvt_small,2160.75,473.897,1024,224,24.11
-xcit_small_12_p16_224_dist,2141.07,478.253,1024,224,26.25
-xcit_small_12_p16_224,2140.23,478.441,1024,224,26.25
-cs3darknet_focus_x,2138.85,478.75,1024,256,35.02
-edgenext_small,2120.03,482.998,1024,320,5.59
-gluon_resnet101_v1d,2116.52,483.8,1024,224,44.57
-tf_efficientnet_cc_b0_8e,2114.86,484.181,1024,224,24.01
-vgg13,2106.04,486.207,1024,224,133.05
-skresnet50d,2104.19,486.637,1024,224,25.82
-xcit_nano_12_p8_224_dist,2091.47,489.594,1024,224,3.05
-xcit_nano_12_p8_224,2088.8,490.222,1024,224,3.05
-sebotnet33ts_256,2061.15,248.392,512,256,13.7
-efficientnet_b0_gn,2058.74,373.032,768,224,5.29
-wide_resnet50_2,2057.11,497.774,1024,224,68.88
-dla102,2034.05,503.416,1024,224,33.27
-vit_base_resnet50d_224,2032.15,503.887,1024,224,110.97
-resnet51q,2003.15,511.181,1024,288,35.7
-legacy_seresnet101,1997.44,512.643,1024,224,49.33
-regnetx_040,1987.99,515.08,1024,224,22.12
-gmlp_s16_224,1983.97,516.124,1024,224,19.42
-res2net50_26w_6s,1970.9,519.546,1024,224,37.05
-resnetaa101d,1964.05,521.361,1024,224,44.57
-gluon_resnet101_v1s,1954.76,523.835,1024,224,44.67
-seresnet101,1951.77,524.639,1024,224,49.33
-repvgg_b1,1949.45,525.265,1024,224,57.42
-crossvit_small_240,1948.12,525.623,1024,240,26.86
-cs3sedarknet_xdw,1942.13,527.244,1024,256,21.6
-resnetaa50,1934.76,529.254,1024,288,25.56
-swin_tiny_patch4_window7_224,1924.88,531.966,1024,224,28.29
-resnext101_32x4d,1924.17,532.166,1024,224,44.18
-ssl_resnext101_32x4d,1923.99,532.215,1024,224,44.18
-poolformer_s24,1923.48,532.355,1024,224,21.39
-gluon_resnext101_32x4d,1922.64,532.587,1024,224,44.18
-swsl_resnext101_32x4d,1922.44,532.644,1024,224,44.18
-vit_relpos_medium_patch16_cls_224,1918.8,533.655,1024,224,38.76
-vit_relpos_medium_patch16_rpn_224,1917.82,533.927,1024,224,38.73
-vit_relpos_medium_patch16_224,1911.97,535.56,1024,224,38.75
-vit_srelpos_medium_patch16_224,1908.42,536.559,1024,224,38.74
-resnest50d_1s4x24d,1891.51,541.355,1024,224,25.68
-darknet53,1883.2,407.805,768,288,41.61
-gmixer_24_224,1881.95,544.104,1024,224,24.72
-darknetaa53,1875.8,409.414,768,288,36.02
-densenet201,1868.67,547.971,1024,224,20.01
-halonet50ts,1867.02,548.456,1024,256,22.73
-mobilevitv2_150,1865.71,274.416,512,256,10.59
-mobilevitv2_150_in22ft1k,1864.94,274.529,512,256,10.59
-tf_efficientnet_b3_ns,1862.24,274.927,512,300,12.23
-tf_efficientnet_b3,1861.19,275.081,512,300,12.23
-tf_efficientnet_b3_ap,1860.71,275.153,512,300,12.23
-nf_resnet101,1854.11,552.273,1024,224,44.55
-dla102x,1853.94,552.322,1024,224,26.31
-ecaresnet101d,1853.67,552.405,1024,224,44.57
-vgg13_bn,1850.18,276.718,512,224,133.05
-cspdarknet53,1837.13,418.032,768,256,27.64
-efficientnet_b3a,1829.01,279.921,512,320,12.23
-efficientnet_b3,1828.85,279.946,512,320,12.23
-mixnet_xl,1821.62,281.057,512,224,11.9
-resnet61q,1810.56,565.559,1024,288,36.85
-vit_small_r26_s32_224,1806.33,566.883,1024,224,36.43
-xcit_tiny_12_p16_384_dist,1805.03,567.29,1024,384,6.72
-edgenext_small_rw,1803.36,567.813,1024,320,7.83
-crossvit_15_240,1792.63,571.217,1024,240,27.53
-resnest26d,1781.59,574.753,1024,224,17.07
-nf_resnet50,1773.35,577.425,1024,288,25.56
-hrnet_w18,1766.17,579.773,1024,224,21.3
-crossvit_15_dagger_240,1755.64,583.25,1024,240,28.21
-swin_s3_tiny_224,1746.31,586.364,1024,224,28.33
-resnetblur101d,1744.07,587.12,1024,224,44.57
-res2net101_26w_4s,1715.56,596.875,1024,224,45.21
-cait_xxs24_224,1707.34,599.75,1024,224,11.96
-nf_regnet_b3,1702.33,601.516,1024,320,18.59
-seresnext101_32x4d,1701.46,601.825,1024,224,48.96
-gluon_seresnext101_32x4d,1701.17,601.927,1024,224,48.96
-legacy_seresnext101_32x4d,1697.89,603.09,1024,224,48.96
-resnetv2_50d_frn,1691.2,605.475,1024,224,25.59
-vgg16,1690.51,605.724,1024,224,138.36
-repvgg_b1g4,1670.27,613.064,1024,224,39.97
-res2net50_26w_8s,1662.2,616.038,1024,224,48.4
-resmlp_36_224,1656.29,618.237,1024,224,44.69
-resmlp_36_distilled_224,1655.44,618.553,1024,224,44.69
-regnetz_c16,1654.15,309.514,512,320,13.46
-sequencer2d_s,1646.91,621.756,1024,224,27.65
-efficientnet_b0_g8_gn,1636.03,469.418,768,224,6.56
-botnet50ts_256,1633.5,313.424,512,256,22.74
-vit_large_patch32_224,1629.91,628.244,1024,224,306.54
-ese_vovnet39b_evos,1627.7,629.096,1024,224,24.58
-cs3darknet_x,1627.54,629.156,1024,288,35.05
-resnetv2_50d_evob,1620.95,631.713,1024,224,25.59
-efficientnet_cc_b1_8e,1619.01,632.471,1024,240,39.72
-resnetv2_152,1614.21,634.351,1024,224,60.19
-xception41p,1587.33,322.543,512,299,26.91
-regnetx_064,1586.15,484.18,768,224,26.21
-coat_lite_small,1583.04,646.84,1024,224,19.84
-swinv2_cr_tiny_224,1581.48,647.481,1024,224,28.33
-xception,1578.2,486.619,768,299,22.86
-gluon_resnet152_v1b,1573.68,650.689,1024,224,60.19
-tv_resnet152,1573.22,650.883,1024,224,60.19
-resnetv2_50x1_bit_distilled,1572.94,650.997,1024,224,25.55
-resnet152,1571.71,651.505,1024,224,60.19
-tf_efficientnet_cc_b1_8e,1564.9,654.344,1024,240,39.72
-halo2botnet50ts_256,1559.2,656.732,1024,256,22.64
-mixer_l32_224,1558.59,656.992,1024,224,206.94
-vit_tiny_patch16_384,1557.53,657.441,1024,384,5.79
-mobilevitv2_175,1554.07,329.447,512,256,14.25
-swinv2_cr_tiny_ns_224,1551.84,659.847,1024,224,28.33
-mobilevitv2_175_in22ft1k,1551.58,329.973,512,256,14.25
-vit_base_patch32_384,1550.87,660.263,1024,384,88.3
-resnetv2_152d,1545.41,662.596,1024,224,60.2
-nf_ecaresnet101,1540.66,664.639,1024,224,44.55
-nf_seresnet101,1538.7,665.483,1024,224,49.33
-gluon_resnet152_v1c,1536.27,666.538,1024,224,60.21
-efficientnet_el,1524.59,335.818,512,300,10.59
-efficientnet_el_pruned,1523.29,336.105,512,300,10.59
-gluon_resnet152_v1d,1508.62,678.753,1024,224,60.21
-vgg16_bn,1504.44,340.315,512,224,138.37
-twins_pcpvt_base,1494.56,685.139,1024,224,43.83
-tf_efficientnet_el,1481.51,345.582,512,300,10.59
-vit_base_r26_s32_224,1479.31,692.202,1024,224,101.38
-skresnext50_32x4d,1465.64,698.657,1024,224,27.48
-convnext_small,1452.43,705.012,1024,224,50.22
-convnext_small_in22ft1k,1450.42,705.987,1024,224,50.22
-hrnet_w32,1444.27,708.991,1024,224,41.23
-ese_vovnet99b,1442.7,709.767,1024,224,63.2
-mixer_b16_224,1424.87,718.648,1024,224,59.88
-gluon_resnet152_v1s,1424.84,718.665,1024,224,60.32
-ecaresnet50t,1422.0,720.1,1024,320,25.57
-mixer_b16_224_miil,1421.45,720.381,1024,224,59.88
-vgg19,1411.57,725.42,1024,224,143.67
-regnety_032,1398.62,732.137,1024,288,19.44
-convit_small,1398.4,732.254,1024,224,27.78
-nest_tiny,1387.46,553.516,768,224,17.06
-legacy_seresnet152,1382.46,740.694,1024,224,66.82
-dla169,1382.4,740.729,1024,224,53.39
-xcit_tiny_12_p8_224,1374.74,744.858,1024,224,6.71
-xcit_tiny_12_p8_224_dist,1374.04,745.236,1024,224,6.71
-densenet161,1366.11,749.563,1024,224,28.68
-jx_nest_tiny,1362.5,563.656,768,224,17.06
-seresnet152,1361.36,752.174,1024,224,66.82
-mobilevitv2_200_in22ft1k,1354.63,283.461,384,256,18.45
-mobilevitv2_200,1354.25,283.54,384,256,18.45
-xception41,1347.67,379.903,512,299,26.97
-inception_v4,1323.37,773.767,1024,299,42.68
-twins_svt_base,1316.07,778.059,1024,224,56.07
-vit_small_resnet50d_s16_224,1305.38,784.435,1024,224,57.53
-dpn92,1303.44,785.601,1024,224,37.67
-tresnet_m,1297.91,788.947,1024,224,31.39
-poolformer_s36,1296.72,789.674,1024,224,30.86
-sequencer2d_m,1285.21,796.745,1024,224,38.31
-crossvit_18_240,1273.5,804.072,1024,240,43.27
-regnetx_080,1271.94,805.056,1024,224,39.57
-dla102x2,1271.93,402.524,512,224,41.28
-vgg19_bn,1265.83,404.467,512,224,143.68
-efficientnet_lite4,1263.67,303.867,384,380,13.01
-crossvit_18_dagger_240,1245.15,822.375,1024,240,44.27
-res2next50,1241.53,824.775,1024,224,24.67
-volo_d1_224,1235.2,829.0,1024,224,26.63
-efficientnetv2_s,1221.73,838.141,1024,384,21.46
-resnest50d,1214.35,843.233,1024,224,27.48
-tf_efficientnetv2_s,1191.03,859.748,1024,384,21.46
-tf_efficientnetv2_s_in21ft1k,1191.03,859.741,1024,384,21.46
-dpn98,1188.11,861.858,1024,224,61.57
-mixnet_xxl,1187.83,323.267,384,224,23.96
-swin_small_patch4_window7_224,1183.48,865.227,1024,224,49.61
-regnetz_d8,1180.44,867.458,1024,320,23.37
-hrnet_w30,1180.28,867.576,1024,224,37.71
-gluon_resnext101_64x4d,1176.11,870.653,1024,224,83.46
-efficientnetv2_rw_s,1166.72,877.658,1024,384,23.94
-tf_efficientnet_lite4,1164.88,329.636,384,380,13.01
-swinv2_tiny_window8_256,1158.39,883.971,1024,256,28.35
-wide_resnet101_2,1155.6,886.11,1024,224,126.89
-repvgg_b2,1154.84,886.691,1024,224,89.02
-vit_base_patch16_224_miil,1153.59,887.648,1024,224,86.54
-resnet50_gn,1150.43,890.083,1024,224,25.56
-resnet200,1149.46,890.84,1024,224,64.67
-cait_xxs36_224,1148.13,891.873,1024,224,17.3
-xception65p,1140.81,448.791,512,299,39.82
-regnetz_040,1140.64,336.641,384,320,27.12
-xcit_small_24_p16_224_dist,1137.7,900.049,1024,224,47.67
-xcit_small_24_p16_224,1136.58,900.934,1024,224,47.67
-regnetz_040h,1135.68,338.111,384,320,28.94
-deit_base_patch16_224,1133.84,903.113,1024,224,86.57
-vit_base_patch16_224,1133.45,903.419,1024,224,86.57
-vit_base_patch16_224_sam,1132.11,904.493,1024,224,86.57
-regnetz_d32,1128.13,907.679,1024,320,27.58
-dla60_res2next,1127.83,907.922,1024,224,17.03
-eca_nfnet_l0,1126.64,908.88,1024,288,24.14
-resnetrs101,1123.2,911.667,1024,288,63.62
-nfnet_l0,1123.1,911.747,1024,288,35.07
-deit_base_distilled_patch16_224,1119.36,914.798,1024,224,87.34
-vit_base_patch16_rpn_224,1111.53,921.235,1024,224,86.54
-inception_resnet_v2,1108.79,923.511,1024,299,55.84
-ens_adv_inception_resnet_v2,1107.31,924.747,1024,299,55.84
-deit3_base_patch16_224,1093.88,936.101,1024,224,86.59
-deit3_base_patch16_224_in21ft1k,1092.45,937.33,1024,224,86.59
-gluon_seresnext101_64x4d,1088.94,940.353,1024,224,88.23
-vit_relpos_base_patch16_clsgap_224,1081.95,946.422,1024,224,86.43
-vit_relpos_base_patch16_cls_224,1081.77,946.586,1024,224,86.43
-vit_relpos_base_patch16_rpn_224,1080.35,947.826,1024,224,86.41
-vit_relpos_base_patch16_224,1079.52,948.56,1024,224,86.43
-tnt_s_patch16_224,1078.48,949.47,1024,224,23.76
-twins_pcpvt_large,1066.87,959.801,1024,224,60.99
-ssl_resnext101_32x8d,1054.92,970.677,1024,224,88.79
-resnext101_32x8d,1054.71,970.869,1024,224,88.79
-ig_resnext101_32x8d,1054.19,971.349,1024,224,88.79
-swsl_resnext101_32x8d,1053.69,971.812,1024,224,88.79
-beit_base_patch16_224,1049.2,975.962,1024,224,86.53
-resnest50d_4s2x40d,1042.05,982.666,1024,224,30.42
-coat_tiny,1040.04,984.566,1024,224,5.5
-resnet101d,1029.19,994.942,1024,320,44.57
-convnext_base,1012.72,1011.124,1024,224,88.59
-convnext_base_in22ft1k,1011.75,1012.088,1024,224,88.59
-efficientnet_b4,993.87,386.356,384,384,19.34
-pit_b_224,992.43,515.895,512,224,73.76
-pit_b_distilled_224,988.79,517.791,512,224,74.79
-gluon_xception65,981.26,521.764,512,299,39.92
-xception65,975.37,524.918,512,299,39.92
-vit_small_patch16_36x1_224,973.92,1051.404,1024,224,64.67
-repvgg_b3,972.06,1053.416,1024,224,123.09
-repvgg_b2g4,969.39,1056.316,1024,224,61.76
-xcit_tiny_24_p16_384_dist,969.37,1056.345,1024,384,12.12
-swinv2_cr_small_224,967.97,1057.869,1024,224,49.7
-swinv2_cr_small_ns_224,957.86,1069.034,1024,224,49.7
-vit_small_patch16_18x2_224,951.03,1076.715,1024,224,64.67
-twins_svt_large,923.66,1108.616,1024,224,99.27
-tf_efficientnet_b4,922.69,416.164,384,380,19.34
-tf_efficientnet_b4_ap,922.5,416.247,384,380,19.34
-tf_efficientnet_b4_ns,922.41,416.289,384,380,19.34
-hrnet_w40,910.46,1124.691,1024,224,57.56
-regnetz_b16_evos,903.54,849.98,768,288,9.74
-cait_s24_224,902.24,1134.941,1024,224,46.92
-nfnet_f0,901.6,1135.748,1024,256,71.49
-nf_regnet_b4,900.78,1136.78,1024,384,30.21
-poolformer_m36,896.53,1142.174,1024,224,56.17
-nest_small,884.77,868.006,768,224,38.35
-hrnet_w48,875.56,1169.527,1024,224,77.47
-jx_nest_small,874.29,878.41,768,224,38.35
-dpn131,866.66,1181.531,1024,224,79.25
-swin_s3_small_224,854.8,898.443,768,224,49.74
-regnety_040,854.48,898.782,768,288,20.65
-regnetv_040,854.18,899.093,768,288,20.64
-regnety_080,846.16,605.071,512,288,39.18
-resnetv2_50d_evos,844.23,1212.929,1024,288,25.59
-coat_mini,836.76,1223.748,1024,224,10.34
-swin_base_patch4_window7_224,836.19,1224.59,1024,224,87.77
-repvgg_b3g4,835.5,1225.597,1024,224,83.83
-sequencer2d_l,832.91,1229.407,1024,224,54.3
-dm_nfnet_f0,831.16,1232.004,1024,256,71.49
-mobilevitv2_150_384_in22ft1k,826.94,309.566,256,384,10.59
-gmlp_b16_224,825.63,1240.256,1024,224,73.08
-convnext_tiny_384_in22ft1k,814.55,628.553,512,384,28.59
-xcit_medium_24_p16_224_dist,812.18,1260.787,1024,224,84.4
-xcit_medium_24_p16_224,812.16,1260.822,1024,224,84.4
-regnetx_120,810.53,631.674,512,224,46.11
-xcit_small_12_p16_384_dist,800.29,1279.521,1024,384,26.25
-densenet264,798.84,1281.845,1024,224,72.69
-hrnet_w44,790.45,1295.441,1024,224,67.06
-crossvit_base_240,787.5,975.226,768,240,105.03
-regnety_120,783.87,653.154,512,224,51.82
-swinv2_tiny_window16_256,765.77,668.599,512,256,28.35
-resnetv2_50d_gn,751.14,1022.427,768,288,25.57
-xception71,749.93,682.721,512,299,42.34
-vit_large_r50_s32_224,739.74,1384.252,1024,224,328.99
-vit_base_patch16_plus_240,737.95,1387.618,1024,240,117.56
-dpn107,736.42,1390.497,1024,224,86.92
-resnet152d,736.09,1391.121,1024,320,60.21
-ecaresnet200d,730.76,1401.271,1024,256,64.69
-seresnet200d,728.63,1405.363,1024,256,71.86
-vit_relpos_base_patch16_plus_240,727.74,1407.074,1024,240,117.38
-xcit_tiny_24_p8_224,725.69,1411.06,1024,224,12.11
-xcit_tiny_24_p8_224_dist,725.66,1411.108,1024,224,12.11
-hrnet_w64,719.99,1422.231,1024,224,128.06
-regnety_040s_gn,719.08,1068.018,768,224,20.65
-xcit_nano_12_p8_384_dist,713.49,1435.191,1024,384,3.05
-swinv2_small_window8_256,712.51,1437.16,1024,256,49.73
-convit_base,706.35,1449.693,1024,224,86.54
-resnext101_64x4d,704.57,1090.007,768,288,83.46
-swin_s3_base_224,695.14,1473.064,1024,224,71.13
-vit_small_patch16_384,693.62,1107.217,768,384,22.2
-tnt_b_patch16_224,691.83,1480.107,1024,224,65.41
-swinv2_cr_base_224,689.84,1484.394,1024,224,87.88
-regnety_064,684.37,748.122,512,288,30.58
-swinv2_cr_base_ns_224,683.96,1497.137,1024,224,87.88
-volo_d2_224,679.94,1506.002,1024,224,58.68
-mobilevitv2_175_384_in22ft1k,679.77,376.586,256,384,14.25
-regnetv_064,678.0,755.149,512,288,30.58
-poolformer_m48,676.06,1514.652,1024,224,73.47
-deit3_small_patch16_384,669.71,1146.752,768,384,22.21
-deit3_small_patch16_384_in21ft1k,669.36,1147.345,768,384,22.21
-legacy_senet154,660.41,1550.529,1024,224,115.09
-senet154,659.33,1553.081,1024,224,115.09
-gluon_senet154,659.08,1553.657,1024,224,115.09
-regnetx_160,650.99,786.486,512,224,54.28
-resnetrs152,646.22,1584.595,1024,320,86.62
-seresnet152d,642.19,1594.525,1024,320,66.84
-regnetz_e8,633.28,1212.715,768,320,57.7
-tresnet_l,630.57,1623.908,1024,224,55.99
-nest_base,629.43,813.42,512,224,67.72
-ese_vovnet99b_iabn,628.09,1630.325,1024,224,63.2
-jx_nest_base,622.33,822.697,512,224,67.72
-vit_small_r26_s32_384,613.78,834.168,512,384,36.47
-vit_base_r50_s16_224,610.7,1676.739,1024,224,98.66
-xcit_small_12_p8_224,609.86,1679.054,1024,224,26.21
-xcit_small_12_p8_224_dist,609.57,1679.853,1024,224,26.21
-efficientnetv2_m,603.09,1697.911,1024,416,54.14
-mobilevitv2_200_384_in22ft1k,594.06,323.186,192,384,18.45
-seresnext101_32x8d,590.8,1299.927,768,288,93.57
-resnest101e,588.3,1305.448,768,256,48.28
-regnetz_c16_evos,588.05,870.656,512,320,13.49
-convmixer_768_32,578.91,1768.818,1024,224,21.11
-seresnext101d_32x8d,575.36,1334.812,768,288,93.59
-seresnet269d,570.63,1794.5,1024,256,113.67
-convnext_large,561.47,1823.764,1024,224,197.77
-convnext_large_in22ft1k,560.92,1825.557,1024,224,197.77
-resnet200d,544.65,1880.08,1024,320,64.69
-efficientnetv2_rw_m,534.87,1435.852,768,416,53.24
-seresnextaa101d_32x8d,521.71,1472.057,768,288,93.59
-vit_large_patch32_384,517.33,1979.373,1024,384,306.63
-swinv2_base_window8_256,509.01,2011.746,1024,256,87.92
-eca_nfnet_l1,497.06,2060.113,1024,320,41.41
-convnext_small_384_in22ft1k,496.5,1031.206,512,384,50.22
-mixer_l16_224,495.85,2065.122,1024,224,208.2
-efficientnet_b5,493.19,519.054,256,456,30.39
-halonet_h1,492.19,520.115,256,256,8.1
-regnety_320,483.53,1058.87,512,224,145.05
-swin_large_patch4_window7_224,480.21,1599.271,768,224,196.53
-swinv2_small_window16_256,477.23,1072.842,512,256,49.73
-volo_d3_224,474.32,2158.852,1024,224,86.33
-resnetrs200,471.22,2173.072,1024,320,93.21
-tf_efficientnet_b5_ns,469.35,545.419,256,456,30.39
-tf_efficientnet_b5_ap,469.08,545.738,256,456,30.39
-tf_efficientnet_b5,468.97,545.864,256,456,30.39
-xcit_tiny_12_p8_384_dist,468.35,2186.374,1024,384,6.71
-tresnet_xl,466.16,2196.648,1024,224,78.44
-efficientnet_b3_gn,464.67,550.914,256,320,11.73
-xcit_large_24_p16_224_dist,454.83,2251.393,1024,224,189.1
-xcit_large_24_p16_224,454.8,2251.543,1024,224,189.1
-tf_efficientnetv2_m_in21ft1k,444.81,1726.544,768,480,54.14
-tf_efficientnetv2_m,444.79,1726.633,768,480,54.14
-xcit_small_24_p16_384_dist,426.37,2401.669,1024,384,47.67
-regnety_160,422.88,908.045,384,288,83.59
-nf_regnet_b5,413.3,1238.797,512,456,49.74
-swinv2_cr_tiny_384,408.94,625.992,256,384,28.33
-swinv2_cr_large_224,406.2,1890.673,768,224,196.68
-resnetv2_50x1_bitm,400.73,958.233,384,448,25.55
-regnetz_d8_evos,392.85,1954.947,768,320,23.46
-convmixer_1024_20_ks9_p14,390.62,2621.469,1024,224,24.38
-efficientnet_b3_g8_gn,373.24,685.874,256,320,14.25
-vit_large_patch16_224,370.72,2762.206,1024,224,304.33
-convnext_xlarge_in22ft1k,368.8,1388.275,512,224,350.2
-crossvit_15_dagger_408,368.65,694.421,256,408,28.5
-vit_base_patch16_18x2_224,361.92,2829.305,1024,224,256.73
-deit3_large_patch16_224_in21ft1k,358.3,2857.929,1024,224,304.37
-deit3_large_patch16_224,357.82,2861.791,1024,224,304.37
-swinv2_base_window16_256,346.22,1109.109,384,256,87.92
-swinv2_base_window12to16_192to256_22kft1k,345.97,1109.898,384,256,87.92
-nasnetalarge,345.75,1110.628,384,331,88.75
-convnext_base_384_in22ft1k,345.74,1110.63,384,384,88.59
-beit_large_patch16_224,343.01,2985.299,1024,224,304.43
-ssl_resnext101_32x16d,338.92,1510.65,512,224,194.03
-ig_resnext101_32x16d,338.75,1511.419,512,224,194.03
-swsl_resnext101_32x16d,338.52,1512.441,512,224,194.03
-tresnet_m_448,325.14,3149.347,1024,448,31.39
-pnasnet5large,323.98,1185.25,384,331,86.06
-regnetx_320,320.95,1196.437,384,224,107.81
-xcit_small_24_p8_224,319.26,3207.434,1024,224,47.63
-xcit_small_24_p8_224_dist,319.16,3208.44,1024,224,47.63
-volo_d1_384,315.83,1621.098,512,384,26.78
-nfnet_f1,306.71,3338.679,1024,320,132.63
-ecaresnet269d,304.87,3358.754,1024,352,102.09
-volo_d4_224,303.38,3375.331,1024,224,192.96
-xcit_medium_24_p16_384_dist,297.67,2580.013,768,384,84.4
-resnetrs270,296.93,3448.599,1024,352,129.86
-resnetv2_152x2_bit_teacher,290.64,2642.472,768,224,236.34
-vit_base_patch16_384,289.22,1327.696,384,384,86.86
-deit_base_patch16_384,289.04,1328.502,384,384,86.86
-deit_base_distilled_patch16_384,285.12,1346.806,384,384,87.63
-dm_nfnet_f1,282.58,3623.721,1024,320,132.63
-deit3_base_patch16_384,281.04,1366.341,384,384,86.88
-deit3_base_patch16_384_in21ft1k,280.92,1366.918,384,384,86.88
-efficientnet_b6,279.71,457.611,128,528,43.04
-cait_xxs24_384,275.0,3723.573,1024,384,12.03
-vit_large_patch14_224,271.58,3770.566,1024,224,304.2
-crossvit_18_dagger_408,269.56,712.259,192,408,44.61
-tf_efficientnet_b6_ap,267.5,478.495,128,528,43.04
-tf_efficientnet_b6,267.48,478.534,128,528,43.04
-tf_efficientnet_b6_ns,267.38,478.715,128,528,43.04
-efficientnetv2_l,254.55,2011.402,512,480,118.52
-resnetv2_101x1_bitm,252.46,1521.025,384,448,44.54
-tf_efficientnetv2_l,251.41,2036.496,512,480,118.52
-tf_efficientnetv2_l_in21ft1k,251.09,2039.122,512,480,118.52
-swinv2_cr_small_384,250.5,1021.951,256,384,49.7
-beit_base_patch16_384,248.36,1546.143,384,384,86.74
-xcit_tiny_24_p8_384_dist,246.6,4152.437,1024,384,12.11
-vit_large_r50_s32_384,246.12,2080.308,512,384,329.09
-eca_nfnet_l2,237.09,3239.214,768,384,56.72
-resmlp_big_24_224,228.25,4486.35,1024,224,129.14
-resmlp_big_24_224_in22ft1k,227.96,4491.908,1024,224,129.14
-resmlp_big_24_distilled_224,227.94,4492.471,1024,224,129.14
-xcit_medium_24_p8_224_dist,222.27,3455.29,768,224,84.32
-xcit_medium_24_p8_224,222.27,3455.239,768,224,84.32
-swin_base_patch4_window12_384,221.01,868.732,192,384,87.9
-swinv2_large_window12to16_192to256_22kft1k,212.32,1205.699,256,256,196.74
-xcit_small_12_p8_384_dist,207.32,1852.22,384,384,26.21
-resnest200e,201.89,2536.056,512,320,70.2
-volo_d5_224,200.39,5110.009,1024,224,295.46
-resnetrs350,194.78,3942.989,768,384,163.96
-convnext_large_384_in22ft1k,191.43,1337.313,256,384,197.77
-cait_xs24_384,190.0,4042.088,768,384,26.67
-vit_base_patch8_224,188.23,1360.04,256,224,86.58
-cait_xxs36_384,183.87,5569.221,1024,384,17.37
-swinv2_cr_base_384,178.69,1432.608,256,384,87.88
-vit_base_r50_s16_384,176.73,1448.509,256,384,98.95
-vit_base_resnet50_384,176.72,1448.639,256,384,98.95
-volo_d2_384,176.17,2179.696,384,384,58.87
-swinv2_cr_huge_224,175.72,2185.293,384,224,657.83
-nfnet_f2,172.68,5929.942,1024,352,193.78
-xcit_large_24_p16_384_dist,168.33,3041.628,512,384,189.1
-densenet264d_iabn,166.37,6155.083,1024,224,72.74
-efficientnet_b7,161.46,594.574,96,600,66.35
-efficientnetv2_xl,159.28,2410.894,384,512,208.12
-dm_nfnet_f2,159.16,4825.445,768,352,193.78
-tf_efficientnetv2_xl_in21ft1k,158.05,2429.572,384,512,208.12
-tf_efficientnet_b7,155.86,615.938,96,600,66.35
-tf_efficientnet_b7_ap,155.83,616.029,96,600,66.35
-tf_efficientnet_b7_ns,155.78,616.248,96,600,66.35
-tresnet_l_448,151.99,6737.079,1024,448,55.99
-cait_s24_384,148.32,3451.871,512,384,47.06
-vit_huge_patch14_224,146.38,6995.606,1024,224,632.05
-ig_resnext101_32x32d,143.03,1789.868,256,224,468.53
-resnetrs420,142.89,5374.778,768,416,191.89
-deit3_huge_patch14_224,142.28,7197.12,1024,224,632.13
-deit3_huge_patch14_224_in21ft1k,142.06,7208.264,1024,224,632.13
-eca_nfnet_l3,132.47,3864.977,512,448,72.04
-swin_large_patch4_window12_384,130.79,978.633,128,384,196.74
-convnext_xlarge_384_in22ft1k,126.14,2029.4,256,384,350.2
-xcit_large_24_p8_224,125.6,4076.305,512,224,188.93
-xcit_large_24_p8_224_dist,125.51,4079.48,512,224,188.93
-tresnet_xl_448,111.87,9153.659,1024,448,78.44
-xcit_small_24_p8_384_dist,108.62,3535.115,384,384,47.63
-swinv2_cr_large_384,108.25,1182.395,128,384,196.68
-efficientnet_b8,101.79,943.075,96,672,87.41
-resnetv2_50x3_bitm,101.1,1266.075,128,448,217.32
-cait_s36_384,99.17,5162.791,512,384,68.37
-tf_efficientnet_b8,98.82,971.416,96,672,87.41
-tf_efficientnet_b8_ap,98.81,971.518,96,672,87.41
-resnetv2_152x2_bit_teacher_384,98.49,2599.208,256,384,236.34
-vit_large_patch16_384,97.65,2621.481,256,384,304.72
-vit_giant_patch14_224,95.7,8025.142,768,224,1012.61
-deit3_large_patch16_384,94.92,2697.101,256,384,304.76
-deit3_large_patch16_384_in21ft1k,94.92,2697.083,256,384,304.76
-swinv2_base_window12to24_192to384_22kft1k,94.52,677.087,64,384,87.92
-nfnet_f3,93.84,8184.276,768,416,254.92
-resnest269e,93.31,4115.183,384,416,110.93
-dm_nfnet_f3,86.56,5914.801,512,416,254.92
-beit_large_patch16_384,84.77,3019.757,256,384,305.0
-volo_d3_448,76.33,2515.269,192,448,86.63
-xcit_medium_24_p8_384_dist,75.97,3369.835,256,384,84.32
-ig_resnext101_32x48d,74.47,2578.247,192,224,828.41
-resnetv2_152x2_bitm,72.95,2631.902,192,448,236.34
-tf_efficientnet_l2_ns_475,63.13,1013.713,64,475,480.31
-resnetv2_101x3_bitm,60.06,2131.166,128,448,387.93
-swinv2_large_window12to24_192to384_22kft1k,59.82,802.459,48,384,196.74
-vit_gigantic_patch14_224,57.64,8883.342,512,224,1844.44
-volo_d4_448,56.09,3423.322,192,448,193.41
-convmixer_1536_20,53.95,18979.912,1024,224,51.63
-swinv2_cr_giant_224,50.56,2531.46,128,224,2598.76
-nfnet_f4,49.93,10254.329,512,512,316.07
-swinv2_cr_huge_384,47.13,1357.909,64,384,657.94
-dm_nfnet_f4,45.97,8353.673,384,512,316.07
-xcit_large_24_p8_384_dist,42.84,4481.402,192,384,188.93
-volo_d5_448,38.62,3314.317,128,448,295.91
-nfnet_f5,37.03,10370.994,384,544,377.21
-dm_nfnet_f5,33.93,11318.026,384,544,377.21
-beit_large_patch16_512,33.87,2834.401,96,512,305.67
-cait_m36_384,32.22,7945.944,256,384,271.22
-nfnet_f6,28.33,13554.319,384,576,438.36
-volo_d5_512,26.99,4742.789,128,512,296.09
-dm_nfnet_f6,26.14,9792.719,256,576,438.36
-resnetv2_152x4_bitm,24.34,2629.892,64,480,936.53
-efficientnet_l2,23.12,1037.889,24,800,480.31
-tf_efficientnet_l2_ns,22.7,1057.422,24,800,480.31
-nfnet_f7,22.34,11460.175,256,608,499.5
-swinv2_cr_giant_384,14.63,2187.208,32,384,2598.76
-cait_m48_448,13.64,9385.159,128,448,356.46
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
+tinynet_e,70939.06,14.424,1024,106,0.03,0.69,2.04
+mobilenetv3_small_050,53363.87,19.179,1024,224,0.03,0.92,1.59
+lcnet_035,39908.29,25.648,1024,224,0.03,1.04,1.64
+mobilenetv3_small_075,38048.72,26.902,1024,224,0.05,1.3,2.04
+tinynet_d,35634.7,28.724,1024,152,0.05,1.42,2.34
+lcnet_050,35231.0,29.055,1024,224,0.05,1.26,1.88
+mobilenetv3_small_100,34913.55,29.319,1024,224,0.06,1.42,2.54
+tf_mobilenetv3_small_minimal_100,31288.96,32.716,1024,224,0.06,1.41,2.04
+tf_mobilenetv3_small_075,30676.85,33.368,1024,224,0.05,1.3,2.04
+lcnet_075,30088.74,34.022,1024,224,0.1,1.99,2.36
+tf_mobilenetv3_small_100,28547.5,35.858,1024,224,0.06,1.42,2.54
+lcnet_100,23945.91,42.753,1024,224,0.16,2.52,2.95
+mnasnet_small,22244.35,46.024,1024,224,0.07,2.16,2.03
+levit_128s,22002.58,46.529,1024,224,0.31,1.88,7.78
+mobilenetv2_035,20937.19,48.897,1024,224,0.07,2.86,1.68
+mnasnet_050,18984.06,53.93,1024,224,0.11,3.07,2.22
+ghostnet_050,18415.88,55.593,1024,224,0.05,1.77,2.59
+tinynet_c,17846.73,57.365,1024,184,0.11,2.87,2.46
+mobilenetv2_050,16928.19,60.48,1024,224,0.1,3.64,1.97
+semnasnet_050,16394.61,62.449,1024,224,0.11,3.44,2.08
+lcnet_150,15508.0,66.02,1024,224,0.34,3.79,4.5
+gernet_s,15282.73,66.993,1024,224,0.75,2.65,8.17
+levit_128,14929.05,68.581,1024,224,0.41,2.71,9.21
+cs3darknet_focus_s,14654.05,69.868,1024,256,0.69,2.7,3.27
+cs3darknet_s,14422.34,70.991,1024,256,0.72,2.97,3.28
+mobilenetv3_large_075,14412.2,71.04,1024,224,0.16,4.0,3.99
+mixer_s32_224,13576.58,75.414,1024,224,1.0,2.28,19.1
+resnet10t,13509.21,75.789,1024,224,1.1,2.43,5.44
+mobilenetv3_rw,13202.47,77.551,1024,224,0.23,4.41,5.48
+levit_192,13174.02,77.717,1024,224,0.66,3.2,10.95
+mobilenetv3_large_100,12955.77,79.027,1024,224,0.23,4.41,5.48
+mobilenetv3_large_100_miil,12954.49,79.035,1024,224,0.23,4.41,5.48
+vit_small_patch32_224,12913.76,79.284,1024,224,1.15,2.5,22.88
+hardcorenas_a,12748.25,80.313,1024,224,0.23,4.38,5.26
+mnasnet_075,12700.79,80.614,1024,224,0.23,4.77,3.17
+tf_mobilenetv3_large_075,12296.64,83.262,1024,224,0.16,4.0,3.99
+tinynet_b,12104.09,84.587,1024,188,0.21,4.44,3.73
+tf_mobilenetv3_large_minimal_100,11915.92,85.923,1024,224,0.22,4.4,3.92
+hardcorenas_b,11667.78,87.752,1024,224,0.26,5.09,5.18
+hardcorenas_c,11602.35,88.247,1024,224,0.28,5.01,5.52
+ese_vovnet19b_slim_dw,11450.49,89.417,1024,224,0.4,5.28,1.9
+mnasnet_b1,11305.32,90.567,1024,224,0.33,5.46,4.38
+mnasnet_100,11303.72,90.578,1024,224,0.33,5.46,4.38
+tf_mobilenetv3_large_100,11165.87,91.695,1024,224,0.23,4.41,5.48
+gluon_resnet18_v1b,11046.16,92.691,1024,224,1.82,2.48,11.69
+ssl_resnet18,11027.01,92.852,1024,224,1.82,2.48,11.69
+resnet18,11023.6,92.881,1024,224,1.82,2.48,11.69
+swsl_resnet18,11003.86,93.048,1024,224,1.82,2.48,11.69
+semnasnet_075,10953.15,93.479,1024,224,0.23,5.54,2.91
+regnetx_004,10946.78,93.533,1024,224,0.4,3.14,5.16
+hardcorenas_d,10898.13,93.95,1024,224,0.3,4.93,7.5
+mobilenetv2_075,10779.36,94.985,1024,224,0.22,5.86,2.64
+ghostnet_100,10498.38,97.527,1024,224,0.15,3.55,5.18
+seresnet18,10333.85,99.081,1024,224,1.82,2.49,11.78
+vit_tiny_r_s16_p8_224,10273.23,99.666,1024,224,0.44,2.06,6.34
+spnasnet_100,10240.55,99.983,1024,224,0.35,6.03,4.42
+legacy_seresnet18,10026.58,102.118,1024,224,1.82,2.49,11.78
+mnasnet_a1,9730.7,105.223,1024,224,0.32,6.23,3.89
+semnasnet_100,9728.29,105.249,1024,224,0.32,6.23,3.89
+tf_efficientnetv2_b0,9714.68,105.397,1024,224,0.73,4.77,7.14
+tinynet_a,9706.17,105.487,1024,192,0.35,5.41,6.19
+hardcorenas_f,9654.05,106.058,1024,224,0.35,5.57,8.2
+mobilenetv2_100,9591.46,106.751,1024,224,0.31,6.68,3.5
+levit_256,9580.42,106.874,1024,224,1.13,4.23,18.89
+regnetx_002,9551.99,107.191,1024,224,0.2,2.16,2.68
+hardcorenas_e,9521.78,107.531,1024,224,0.35,5.65,8.07
+efficientnet_lite0,9415.07,108.751,1024,224,0.4,6.74,4.65
+regnety_002,9227.09,110.966,1024,224,0.2,2.17,3.16
+fbnetc_100,9182.63,111.504,1024,224,0.4,6.51,5.57
+resnet18d,9153.04,111.864,1024,224,2.06,3.29,11.71
+regnety_006,9048.64,113.154,1024,224,0.61,4.33,6.06
+ese_vovnet19b_slim,8822.42,116.057,1024,224,1.69,3.52,3.17
+ghostnet_130,8402.81,121.852,1024,224,0.24,4.6,7.36
+regnetx_006,8395.84,121.954,1024,224,0.61,3.98,6.2
+levit_256d,8131.84,125.914,1024,224,1.4,4.93,26.21
+tf_efficientnet_lite0,8115.07,126.174,1024,224,0.4,6.74,4.65
+regnetz_005,8104.32,126.341,1024,224,0.52,5.86,7.12
+efficientnet_b0,8015.36,127.743,1024,224,0.4,6.75,5.29
+xcit_nano_12_p16_224_dist,7700.28,132.971,1024,224,0.56,4.17,3.05
+xcit_nano_12_p16_224,7692.58,133.102,1024,224,0.56,4.17,3.05
+mnasnet_140,7484.35,136.808,1024,224,0.6,7.71,7.12
+rexnetr_100,7414.06,138.105,1024,224,0.43,7.72,4.88
+resnet14t,7298.17,140.296,1024,224,1.69,5.8,10.08
+mobilenetv2_110d,7233.3,141.556,1024,224,0.45,8.71,4.52
+regnetx_008,7112.68,143.957,1024,224,0.81,5.15,7.26
+tf_efficientnet_b0_ns,7058.22,145.067,1024,224,0.4,6.75,5.29
+tf_efficientnet_b0_ap,7055.15,145.131,1024,224,0.4,6.75,5.29
+tf_efficientnet_b0,7052.24,145.19,1024,224,0.4,6.75,5.29
+edgenext_xx_small,6998.78,146.298,1024,256,0.33,4.21,1.33
+dla46_c,6933.78,147.671,1024,224,0.58,4.5,1.3
+deit_tiny_patch16_224,6855.38,149.36,1024,224,1.26,5.97,5.72
+vit_tiny_patch16_224,6844.8,149.592,1024,224,1.26,5.97,5.72
+regnety_008,6827.19,149.977,1024,224,0.81,5.25,6.26
+gernet_m,6753.27,151.619,1024,224,3.02,5.24,21.14
+deit_tiny_distilled_patch16_224,6720.97,152.347,1024,224,1.27,6.01,5.91
+efficientnet_b1_pruned,6608.04,154.952,1024,240,0.4,6.21,6.33
+hrnet_w18_small,6603.38,155.061,1024,224,1.61,5.72,13.19
+gluon_resnet34_v1b,6434.28,159.136,1024,224,3.67,3.74,21.8
+semnasnet_140,6428.21,159.287,1024,224,0.6,8.87,6.11
+tv_resnet34,6406.04,159.838,1024,224,3.67,3.74,21.8
+resnet34,6404.45,159.878,1024,224,3.67,3.74,21.8
+ese_vovnet19b_dw,6353.89,161.15,1024,224,1.34,8.25,6.54
+rexnet_100,6291.85,162.738,1024,224,0.41,7.44,4.8
+mobilenetv2_140,6258.1,163.617,1024,224,0.6,9.57,6.11
+mobilevitv2_050,6228.2,164.403,1024,256,0.48,8.04,1.37
+efficientnet_lite1,6215.56,164.736,1024,240,0.62,10.14,5.42
+tf_efficientnetv2_b1,6143.78,166.661,1024,240,1.21,7.34,8.14
+visformer_tiny,6090.13,168.13,1024,224,1.27,5.72,10.32
+fbnetv3_b,6012.29,170.307,1024,256,0.55,9.1,8.6
+seresnet34,5988.65,170.978,1024,224,3.67,3.74,21.96
+resnet26,5923.37,172.863,1024,224,2.36,7.35,16.0
+efficientnet_es,5871.09,174.403,1024,224,1.81,8.73,5.44
+efficientnet_es_pruned,5866.42,174.542,1024,224,1.81,8.73,5.44
+selecsls42,5796.58,176.643,1024,224,2.94,4.62,30.35
+pit_ti_distilled_224,5792.34,176.773,1024,224,0.71,6.23,5.1
+legacy_seresnet34,5780.67,177.13,1024,224,3.67,3.74,21.96
+selecsls42b,5766.92,177.544,1024,224,2.98,4.62,32.46
+pit_ti_224,5764.0,177.643,1024,224,0.7,6.19,4.85
+resnet34d,5748.0,178.138,1024,224,3.91,4.54,21.82
+levit_384,5659.16,180.934,1024,224,2.36,6.26,39.13
+tf_efficientnet_es,5608.15,182.58,1024,224,1.81,8.73,5.44
+resnetblur18,5572.02,183.764,1024,224,2.34,3.39,11.69
+tf_efficientnet_lite1,5541.93,184.761,1024,240,0.62,10.14,5.42
+rexnetr_130,5487.71,186.587,1024,224,0.68,9.81,7.61
+cs3darknet_m,5481.96,186.783,1024,288,2.63,6.69,9.31
+mixnet_s,5402.43,189.533,1024,224,0.25,6.25,4.13
+regnety_004,5382.71,190.227,1024,224,0.41,3.89,4.34
+skresnet18,5371.9,190.61,1024,224,1.82,3.24,11.96
+darknet17,5347.86,143.598,768,256,3.26,7.18,14.3
+mobilevit_xxs,5306.36,192.964,1024,256,0.42,8.34,1.27
+cs3darknet_focus_m,5289.88,193.566,1024,288,2.51,6.19,9.3
+mobilenetv2_120d,5178.64,197.724,1024,224,0.69,11.97,5.83
+repvgg_b0,5161.18,198.394,1024,224,3.41,6.15,15.82
+xcit_tiny_12_p16_224_dist,5107.76,200.467,1024,224,1.24,6.29,6.72
+xcit_tiny_12_p16_224,5104.48,200.597,1024,224,1.24,6.29,6.72
+resnet26d,5093.48,201.03,1024,224,2.6,8.15,16.01
+tf_mixnet_s,4981.9,205.528,1024,224,0.25,6.25,4.13
+vit_base_patch32_224_sam,4925.79,207.875,1024,224,4.41,5.01,88.22
+vit_base_patch32_224,4923.14,207.986,1024,224,4.41,5.01,88.22
+selecsls60,4922.02,208.033,1024,224,3.59,5.52,30.67
+mixer_b32_224,4909.46,208.566,1024,224,3.24,6.29,60.29
+selecsls60b,4902.59,208.858,1024,224,3.63,5.52,32.77
+rexnetr_150,4887.15,209.518,1024,224,0.89,11.13,9.78
+nf_resnet26,4834.78,211.787,1024,224,2.41,7.35,16.0
+darknet21,4804.05,159.854,768,256,3.93,7.47,20.86
+resmlp_12_distilled_224,4801.62,213.251,1024,224,3.01,5.5,15.35
+resmlp_12_224,4801.47,213.257,1024,224,3.01,5.5,15.35
+efficientnet_lite2,4791.14,213.716,1024,260,0.89,12.9,6.09
+pit_xs_224,4790.75,213.733,1024,224,1.4,7.71,10.62
+fbnetv3_d,4788.83,213.819,1024,256,0.68,11.1,10.31
+pit_xs_distilled_224,4740.73,215.989,1024,224,1.41,7.76,11.0
+dla34,4712.5,217.283,1024,224,3.07,5.02,15.74
+sedarknet21,4615.23,166.394,768,256,3.93,7.47,20.95
+resnext26ts,4512.74,226.902,1024,256,2.43,10.52,10.3
+tf_efficientnetv2_b2,4506.54,227.212,1024,260,1.72,9.84,10.1
+mixer_s16_224,4471.0,229.021,1024,224,3.79,5.97,18.53
+legacy_seresnext26_32x4d,4467.81,229.184,1024,224,2.49,9.39,16.79
+edgenext_x_small,4458.42,229.664,1024,256,0.68,7.5,2.34
+gernet_l,4450.89,230.055,1024,256,4.57,8.0,31.08
+tf_efficientnet_b1,4403.29,232.542,1024,240,0.71,10.88,7.79
+tf_efficientnet_b1_ns,4402.75,232.57,1024,240,0.71,10.88,7.79
+tf_efficientnet_b1_ap,4402.24,232.597,1024,240,0.71,10.88,7.79
+eca_resnext26ts,4354.84,235.13,1024,256,2.43,10.52,10.3
+seresnext26ts,4350.24,235.378,1024,256,2.43,10.52,10.39
+tf_efficientnet_lite2,4300.72,238.087,1024,260,0.89,12.9,6.09
+gcresnext26ts,4295.78,238.361,1024,256,2.43,10.53,10.48
+rexnet_130,4282.77,239.085,1024,224,0.68,9.71,7.56
+efficientnet_b1,4273.32,239.615,1024,256,0.77,12.22,7.79
+gmlp_ti16_224,4143.15,247.143,1024,224,1.34,7.55,5.87
+efficientnet_b0_g16_evos,4127.77,248.064,1024,224,1.01,7.42,8.11
+crossvit_tiny_240,4122.07,248.408,1024,240,1.57,9.08,7.01
+nf_ecaresnet26,4104.24,249.486,1024,224,2.41,7.36,16.0
+efficientnet_b2_pruned,4103.05,249.558,1024,260,0.73,9.13,8.31
+nf_seresnet26,4102.39,249.599,1024,224,2.41,7.36,17.4
+mobilevitv2_075,4066.07,251.829,1024,256,1.05,12.06,2.87
+vit_small_patch32_384,4025.63,254.359,1024,384,3.45,8.25,22.92
+ecaresnext50t_32x4d,4000.29,255.97,1024,224,2.7,10.09,15.41
+ecaresnext26t_32x4d,3998.13,256.108,1024,224,2.7,10.09,15.41
+seresnext26tn_32x4d,3995.56,256.274,1024,224,2.7,10.09,16.81
+seresnext26t_32x4d,3993.92,256.378,1024,224,2.7,10.09,16.81
+seresnext26d_32x4d,3982.98,257.083,1024,224,2.73,10.19,16.81
+resnet26t,3922.56,261.042,1024,256,3.35,10.52,16.01
+dla46x_c,3917.72,261.363,1024,224,0.54,5.66,1.07
+rexnet_150,3870.49,264.554,1024,224,0.9,11.21,9.73
+resnetv2_50,3868.33,264.701,1024,224,4.11,11.11,25.55
+crossvit_9_240,3865.11,264.922,1024,240,1.85,9.52,8.55
+convnext_nano_ols,3859.14,265.333,1024,224,2.5,8.37,15.6
+nf_regnet_b0,3819.49,268.086,1024,256,0.64,5.58,8.76
+ecaresnet50d_pruned,3812.92,268.549,1024,224,2.53,6.43,19.94
+regnetx_016,3808.7,268.846,1024,224,1.62,7.93,9.19
+crossvit_9_dagger_240,3792.18,270.018,1024,240,1.99,9.97,8.78
+dla60x_c,3787.69,270.337,1024,224,0.59,6.01,1.32
+convnext_nano_hnf,3786.83,270.399,1024,224,2.46,8.37,15.59
+ecaresnetlight,3729.3,274.57,1024,224,4.11,8.42,30.16
+poolformer_s12,3722.39,275.081,1024,224,1.82,5.53,11.92
+gmixer_12_224,3686.02,277.795,1024,224,2.67,7.26,12.7
+gluon_resnet50_v1b,3677.5,278.438,1024,224,4.11,11.11,25.56
+resnet50,3676.35,278.526,1024,224,4.11,11.11,25.56
+ssl_resnet50,3674.86,278.638,1024,224,4.11,11.11,25.56
+tv_resnet50,3673.31,278.756,1024,224,4.11,11.11,25.56
+swsl_resnet50,3672.81,278.794,1024,224,4.11,11.11,25.56
+dpn68,3650.67,280.484,1024,224,2.35,10.47,12.61
+dpn68b,3606.63,283.907,1024,224,2.35,10.47,12.61
+botnet26t_256,3555.59,287.983,1024,256,3.32,11.98,12.49
+regnety_016,3516.07,291.222,1024,224,1.63,8.04,11.2
+repvgg_a2,3514.85,291.324,1024,224,5.7,6.26,28.21
+resnetv2_50t,3513.08,291.47,1024,224,4.32,11.82,25.57
+efficientnet_em,3504.92,292.149,1024,240,3.04,14.34,6.9
+mixnet_m,3496.31,292.868,1024,224,0.36,8.19,5.01
+resnetv2_50d,3496.21,292.876,1024,224,4.35,11.92,25.57
+rexnetr_200,3492.0,219.921,768,224,1.59,15.11,16.52
+halonet26t,3480.88,294.167,1024,256,3.19,11.69,12.48
+gluon_resnet50_v1c,3476.97,294.498,1024,224,4.35,11.92,25.58
+resnet32ts,3465.97,295.433,1024,256,4.63,11.58,17.96
+bat_resnext26ts,3457.26,296.173,1024,256,2.53,12.51,10.73
+resnet33ts,3415.09,299.834,1024,256,4.76,11.66,19.68
+tf_efficientnet_b2_ns,3414.14,299.918,1024,260,1.02,13.83,9.11
+tf_efficientnet_b2,3412.6,300.052,1024,260,1.02,13.83,9.11
+tf_efficientnet_b2_ap,3412.15,300.092,1024,260,1.02,13.83,9.11
+tf_efficientnet_em,3389.12,302.132,1024,240,3.04,14.34,6.9
+resnet50t,3345.79,306.045,1024,224,4.32,11.82,25.57
+gluon_resnet50_v1d,3337.44,306.809,1024,224,4.35,11.92,25.58
+resnet50d,3336.65,306.882,1024,224,4.35,11.92,25.58
+vit_tiny_r_s16_p8_384,3314.06,154.482,512,384,1.34,6.49,6.36
+legacy_seresnet50,3311.17,309.245,1024,224,3.88,10.6,28.09
+seresnet33ts,3304.6,309.859,1024,256,4.76,11.66,19.78
+tf_mixnet_m,3303.11,309.997,1024,224,0.36,8.19,5.01
+eca_resnet33ts,3297.96,310.484,1024,256,4.76,11.66,19.68
+convit_tiny,3289.83,311.251,1024,224,1.26,7.94,5.71
+gcresnet33ts,3263.32,313.778,1024,256,4.76,11.68,19.88
+vit_small_resnet26d_224,3252.42,314.83,1024,224,5.07,11.12,63.61
+vovnet39a,3229.96,317.018,1024,224,7.09,6.73,22.6
+efficientnet_b2a,3221.33,317.868,1024,288,1.12,16.2,9.11
+efficientnet_b2,3221.08,317.894,1024,288,1.12,16.2,9.11
+efficientnet_b3_pruned,3195.08,320.48,1024,300,1.04,11.86,9.86
+seresnet50,3183.22,321.675,1024,224,4.11,11.13,28.09
+cs3darknet_l,3171.55,322.859,1024,288,6.16,10.83,21.16
+cs3darknet_focus_l,3146.07,325.473,1024,288,5.9,10.16,21.15
+res2net50_48w_2s,3141.04,325.995,1024,224,4.18,11.72,25.29
+eca_vovnet39b,3123.78,327.796,1024,224,7.09,6.74,22.6
+ese_vovnet39b,3117.85,328.419,1024,224,7.09,6.74,24.57
+mobilevit_xs,3095.24,248.113,768,256,1.05,16.33,2.32
+resnext50_32x4d,3092.67,331.094,1024,224,4.26,14.4,25.03
+ssl_resnext50_32x4d,3089.61,331.422,1024,224,4.26,14.4,25.03
+gluon_resnext50_32x4d,3087.43,331.656,1024,224,4.26,14.4,25.03
+swsl_resnext50_32x4d,3086.28,331.779,1024,224,4.26,14.4,25.03
+tv_resnext50_32x4d,3085.42,331.872,1024,224,4.26,14.4,25.03
+hrnet_w18_small_v2,3075.57,332.934,1024,224,2.62,9.65,15.6
+eca_botnext26ts_256,3069.01,333.646,1024,256,2.46,11.6,10.59
+dla60,3049.62,335.767,1024,224,4.26,10.16,22.04
+vgg11,3048.59,167.933,512,224,7.61,7.44,132.86
+skresnet34,3035.0,337.386,1024,224,3.67,5.13,22.28
+mobilevitv2_100,3028.13,253.611,768,256,1.84,16.08,4.9
+vit_small_patch16_224,3005.65,340.679,1024,224,4.61,11.95,22.05
+deit_small_patch16_224,3005.16,340.735,1024,224,4.61,11.95,22.05
+eca_halonext26ts,2980.4,343.567,1024,256,2.44,11.46,10.76
+resnetaa50d,2972.16,344.518,1024,224,5.39,12.44,25.58
+ecaresnet101d_pruned,2963.47,345.529,1024,224,3.48,7.69,24.88
+coat_lite_tiny,2957.59,346.216,1024,224,1.6,11.65,5.72
+cs3sedarknet_l,2955.87,346.418,1024,288,6.16,10.83,21.91
+deit_small_distilled_patch16_224,2950.21,347.082,1024,224,4.63,12.02,22.44
+gluon_resnet50_v1s,2947.99,347.343,1024,224,5.47,13.52,25.68
+resnetrs50,2945.06,347.688,1024,224,4.48,12.14,35.69
+seresnet50t,2939.07,348.397,1024,224,4.32,11.83,28.1
+densenet121,2936.15,348.744,1024,224,2.87,6.9,7.98
+pit_s_224,2935.87,348.777,1024,224,2.88,11.56,23.46
+ecaresnet50d,2934.67,348.92,1024,224,4.35,11.93,25.58
+tv_densenet121,2927.3,349.799,1024,224,2.87,6.9,7.98
+selecsls84,2927.1,349.822,1024,224,5.9,7.57,50.95
+pit_s_distilled_224,2909.88,351.892,1024,224,2.9,11.64,24.04
+vit_relpos_base_patch32_plus_rpn_256,2858.63,358.203,1024,256,7.68,8.01,119.42
+deit3_small_patch16_224_in21ft1k,2858.2,358.255,1024,224,4.61,11.95,22.06
+deit3_small_patch16_224,2853.97,358.786,1024,224,4.61,11.95,22.06
+resnext50d_32x4d,2849.78,359.313,1024,224,4.5,15.2,25.05
+vit_relpos_small_patch16_rpn_224,2814.18,363.86,1024,224,4.59,13.05,21.97
+densenet121d,2808.28,364.624,1024,224,3.11,7.7,8.0
+cspresnet50,2805.19,365.024,1024,256,4.54,11.5,21.62
+vit_relpos_small_patch16_224,2800.45,365.643,1024,224,4.59,13.05,21.98
+gcresnext50ts,2798.56,365.89,1024,256,3.75,15.46,15.67
+vit_srelpos_small_patch16_224,2795.09,366.343,1024,224,4.59,12.16,21.97
+coat_lite_mini,2774.65,369.044,1024,224,2.0,12.25,11.01
+haloregnetz_b,2774.49,369.064,1024,224,1.97,11.94,11.68
+vit_base_patch32_plus_256,2772.64,369.31,1024,256,7.79,7.76,119.48
+rexnet_200,2762.14,278.034,768,224,1.56,14.91,16.37
+res2net50_26w_4s,2757.69,371.313,1024,224,4.28,12.61,25.7
+seresnext50_32x4d,2741.98,373.44,1024,224,4.26,14.42,27.56
+gluon_seresnext50_32x4d,2737.7,374.024,1024,224,4.26,14.42,27.56
+legacy_seresnext50_32x4d,2737.27,374.083,1024,224,4.26,14.42,27.56
+xcit_tiny_24_p16_224_dist,2733.14,374.648,1024,224,2.34,11.82,12.12
+xcit_tiny_24_p16_224,2731.46,374.879,1024,224,2.34,11.82,12.12
+xcit_nano_12_p16_384_dist,2727.34,375.445,1024,384,1.64,12.15,3.05
+dla60x,2724.01,375.903,1024,224,3.54,13.8,17.35
+gcresnet50t,2718.77,376.628,1024,256,5.42,14.67,25.9
+vgg11_bn,2701.91,189.486,512,224,7.62,7.44,132.87
+visformer_small,2695.9,379.825,1024,224,4.88,11.43,40.22
+lambda_resnet26rpt_256,2689.85,380.679,1024,256,3.16,11.87,10.99
+mixnet_l,2682.98,286.237,768,224,0.58,10.84,7.33
+resnetblur50,2682.32,381.746,1024,224,5.16,12.02,25.56
+vovnet57a,2674.97,382.797,1024,224,8.95,7.52,36.64
+efficientnet_lite3,2659.04,192.54,512,300,1.65,21.85,8.2
+cspresnet50d,2649.78,386.434,1024,256,4.86,12.55,21.64
+seresnetaa50d,2644.86,387.154,1024,224,5.4,12.46,28.11
+efficientnetv2_rw_t,2633.28,388.856,1024,288,3.19,16.42,13.65
+cspresnet50w,2624.25,390.195,1024,256,5.04,12.19,28.12
+twins_svt_small,2599.22,393.951,1024,224,2.94,13.75,24.06
+tf_efficientnetv2_b3,2587.08,395.8,1024,300,3.04,15.74,14.36
+nf_regnet_b2,2583.08,396.413,1024,272,1.22,9.27,14.31
+vit_base_resnet26d_224,2575.01,397.656,1024,224,6.97,13.16,101.4
+ese_vovnet57b,2572.63,398.024,1024,224,8.95,7.52,38.61
+fbnetv3_g,2570.51,398.353,1024,288,1.77,21.09,16.62
+gc_efficientnetv2_rw_t,2557.73,400.342,1024,288,3.2,16.45,13.68
+tf_mixnet_l,2550.98,301.047,768,224,0.58,10.84,7.33
+nf_regnet_b1,2527.71,405.098,1024,288,1.02,9.2,10.22
+res2net50_14w_8s,2514.56,407.217,1024,224,4.21,13.28,25.06
+inception_v3,2512.32,407.579,1024,299,5.73,8.97,23.83
+densenetblur121d,2509.93,407.967,1024,224,3.11,7.9,8.0
+adv_inception_v3,2509.35,408.057,1024,299,5.73,8.97,23.83
+tf_inception_v3,2505.31,408.714,1024,299,5.73,8.97,23.83
+gluon_inception_v3,2501.93,409.271,1024,299,5.73,8.97,23.83
+resnetblur50d,2498.32,409.863,1024,224,5.4,12.82,25.58
+nf_ecaresnet50,2492.25,410.862,1024,224,4.21,11.13,25.56
+nf_seresnet50,2488.35,411.506,1024,224,4.21,11.13,28.09
+resmlp_24_224,2465.19,415.371,1024,224,5.96,10.91,30.02
+resmlp_24_distilled_224,2463.93,415.584,1024,224,5.96,10.91,30.02
+mobilevit_s,2450.02,313.456,768,256,2.03,19.94,5.58
+regnetx_032,2449.76,417.988,1024,224,3.2,11.37,15.3
+cspresnext50,2440.84,419.515,1024,256,4.05,15.86,20.57
+dla60_res2net,2430.52,421.296,1024,224,4.15,12.34,20.85
+resnest14d,2424.63,422.32,1024,224,2.76,7.33,10.61
+densenet169,2421.68,422.835,1024,224,3.4,7.3,14.15
+convnext_tiny_hnfd,2418.1,423.46,1024,224,4.47,13.44,28.59
+convnext_tiny_hnf,2414.45,424.101,1024,224,4.47,13.44,28.59
+tf_efficientnet_lite3,2396.12,213.668,512,300,1.65,21.85,8.2
+sehalonet33ts,2392.73,427.951,1024,256,3.55,14.7,13.69
+efficientnet_cc_b0_4e,2389.83,428.47,1024,224,0.41,9.42,13.31
+efficientnet_cc_b0_8e,2386.88,429.0,1024,224,0.42,9.42,24.01
+convnext_tiny_in22ft1k,2380.94,430.068,1024,224,4.47,13.44,28.59
+convnext_tiny,2379.5,430.329,1024,224,4.47,13.44,28.59
+regnetz_b16,2348.93,435.929,1024,288,2.39,16.43,9.72
+resnetv2_101,2321.74,441.036,1024,224,7.83,16.23,44.54
+tf_efficientnet_cc_b0_4e,2293.39,446.488,1024,224,0.41,9.42,13.31
+semobilevit_s,2279.96,336.836,768,256,2.03,19.95,5.74
+gluon_resnet101_v1b,2249.95,455.108,1024,224,7.83,16.23,44.55
+tv_resnet101,2246.24,455.861,1024,224,7.83,16.23,44.55
+resnet101,2246.09,455.891,1024,224,7.83,16.23,44.55
+mobilevitv2_125,2233.52,343.842,768,256,2.86,20.1,7.48
+skresnet50,2232.97,458.569,1024,224,4.11,12.5,25.8
+ecaresnet26t,2203.93,464.611,1024,320,5.24,16.44,16.01
+resnetv2_101d,2180.36,469.635,1024,224,8.07,17.04,44.56
+gluon_resnet101_v1c,2174.26,470.952,1024,224,8.08,17.04,44.57
+twins_pcpvt_small,2160.75,473.897,1024,224,3.83,18.08,24.11
+xcit_small_12_p16_224_dist,2141.07,478.253,1024,224,4.82,12.58,26.25
+xcit_small_12_p16_224,2140.23,478.441,1024,224,4.82,12.58,26.25
+cs3darknet_focus_x,2138.85,478.75,1024,256,8.03,10.69,35.02
+edgenext_small,2120.03,482.998,1024,320,1.97,14.16,5.59
+gluon_resnet101_v1d,2116.52,483.8,1024,224,8.08,17.04,44.57
+tf_efficientnet_cc_b0_8e,2114.86,484.181,1024,224,0.42,9.42,24.01
+vgg13,2106.04,486.207,1024,224,11.31,12.25,133.05
+skresnet50d,2104.19,486.637,1024,224,4.36,13.31,25.82
+xcit_nano_12_p8_224_dist,2091.47,489.594,1024,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,2088.8,490.222,1024,224,2.16,15.71,3.05
+sebotnet33ts_256,2061.15,248.392,512,256,3.89,17.46,13.7
+efficientnet_b0_gn,2058.74,373.032,768,224,0.42,6.75,5.29
+wide_resnet50_2,2057.11,497.774,1024,224,11.43,14.4,68.88
+dla102,2034.05,503.416,1024,224,7.19,14.18,33.27
+vit_base_resnet50d_224,2032.15,503.887,1024,224,8.73,16.92,110.97
+resnet51q,2003.15,511.181,1024,288,8.07,20.94,35.7
+legacy_seresnet101,1997.44,512.643,1024,224,7.61,15.74,49.33
+regnetx_040,1987.99,515.08,1024,224,3.99,12.2,22.12
+gmlp_s16_224,1983.97,516.124,1024,224,4.42,15.1,19.42
+res2net50_26w_6s,1970.9,519.546,1024,224,6.33,15.28,37.05
+resnetaa101d,1964.05,521.361,1024,224,9.12,17.56,44.57
+gluon_resnet101_v1s,1954.76,523.835,1024,224,9.19,18.64,44.67
+seresnet101,1951.77,524.639,1024,224,7.84,16.27,49.33
+repvgg_b1,1949.45,525.265,1024,224,13.16,10.64,57.42
+crossvit_small_240,1948.12,525.623,1024,240,5.63,18.17,26.86
+cs3sedarknet_xdw,1942.13,527.244,1024,256,5.97,17.18,21.6
+resnetaa50,1934.76,529.254,1024,288,8.52,19.24,25.56
+swin_tiny_patch4_window7_224,1924.88,531.966,1024,224,4.51,17.06,28.29
+resnext101_32x4d,1924.17,532.166,1024,224,8.01,21.23,44.18
+ssl_resnext101_32x4d,1923.99,532.215,1024,224,8.01,21.23,44.18
+poolformer_s24,1923.48,532.355,1024,224,3.41,10.68,21.39
+gluon_resnext101_32x4d,1922.64,532.587,1024,224,8.01,21.23,44.18
+swsl_resnext101_32x4d,1922.44,532.644,1024,224,8.01,21.23,44.18
+vit_relpos_medium_patch16_cls_224,1918.8,533.655,1024,224,8.03,18.24,38.76
+vit_relpos_medium_patch16_rpn_224,1917.82,533.927,1024,224,7.97,17.02,38.73
+vit_relpos_medium_patch16_224,1911.97,535.56,1024,224,7.97,17.02,38.75
+vit_srelpos_medium_patch16_224,1908.42,536.559,1024,224,7.96,16.21,38.74
+resnest50d_1s4x24d,1891.51,541.355,1024,224,4.43,13.57,25.68
+darknet53,1883.2,407.805,768,288,11.78,15.68,41.61
+gmixer_24_224,1881.95,544.104,1024,224,5.28,14.45,24.72
+darknetaa53,1875.8,409.414,768,288,10.08,15.68,36.02
+densenet201,1868.67,547.971,1024,224,4.34,7.85,20.01
+halonet50ts,1867.02,548.456,1024,256,5.3,19.2,22.73
+mobilevitv2_150,1865.71,274.416,512,256,4.09,24.11,10.59
+mobilevitv2_150_in22ft1k,1864.94,274.529,512,256,4.09,24.11,10.59
+tf_efficientnet_b3_ns,1862.24,274.927,512,300,1.87,23.83,12.23
+tf_efficientnet_b3,1861.19,275.081,512,300,1.87,23.83,12.23
+tf_efficientnet_b3_ap,1860.71,275.153,512,300,1.87,23.83,12.23
+nf_resnet101,1854.11,552.273,1024,224,8.01,16.23,44.55
+dla102x,1853.94,552.322,1024,224,5.89,19.42,26.31
+ecaresnet101d,1853.67,552.405,1024,224,8.08,17.07,44.57
+vgg13_bn,1850.18,276.718,512,224,11.33,12.25,133.05
+cspdarknet53,1837.13,418.032,768,256,6.57,16.81,27.64
+efficientnet_b3a,1829.01,279.921,512,320,2.01,26.52,12.23
+efficientnet_b3,1828.85,279.946,512,320,2.01,26.52,12.23
+mixnet_xl,1821.62,281.057,512,224,0.93,14.57,11.9
+resnet61q,1810.56,565.559,1024,288,9.87,21.52,36.85
+vit_small_r26_s32_224,1806.33,566.883,1024,224,3.56,9.85,36.43
+xcit_tiny_12_p16_384_dist,1805.03,567.29,1024,384,3.64,18.26,6.72
+edgenext_small_rw,1803.36,567.813,1024,320,2.46,14.85,7.83
+crossvit_15_240,1792.63,571.217,1024,240,5.81,19.77,27.53
+resnest26d,1781.59,574.753,1024,224,3.64,9.97,17.07
+nf_resnet50,1773.35,577.425,1024,288,6.88,18.37,25.56
+hrnet_w18,1766.17,579.773,1024,224,4.32,16.31,21.3
+crossvit_15_dagger_240,1755.64,583.25,1024,240,6.13,20.43,28.21
+swin_s3_tiny_224,1746.31,586.364,1024,224,4.64,19.13,28.33
+resnetblur101d,1744.07,587.12,1024,224,9.12,17.94,44.57
+res2net101_26w_4s,1715.56,596.875,1024,224,8.1,18.45,45.21
+cait_xxs24_224,1707.34,599.75,1024,224,2.53,20.29,11.96
+nf_regnet_b3,1702.33,601.516,1024,320,2.05,14.61,18.59
+seresnext101_32x4d,1701.46,601.825,1024,224,8.02,21.26,48.96
+gluon_seresnext101_32x4d,1701.17,601.927,1024,224,8.02,21.26,48.96
+legacy_seresnext101_32x4d,1697.89,603.09,1024,224,8.02,21.26,48.96
+resnetv2_50d_frn,1691.2,605.475,1024,224,4.33,11.92,25.59
+vgg16,1690.51,605.724,1024,224,15.47,13.56,138.36
+repvgg_b1g4,1670.27,613.064,1024,224,8.15,10.64,39.97
+res2net50_26w_8s,1662.2,616.038,1024,224,8.37,17.95,48.4
+resmlp_36_224,1656.29,618.237,1024,224,8.91,16.33,44.69
+resmlp_36_distilled_224,1655.44,618.553,1024,224,8.91,16.33,44.69
+regnetz_c16,1654.15,309.514,512,320,3.92,25.88,13.46
+sequencer2d_s,1646.91,621.756,1024,224,4.96,11.31,27.65
+efficientnet_b0_g8_gn,1636.03,469.418,768,224,0.66,6.75,6.56
+botnet50ts_256,1633.5,313.424,512,256,5.54,22.23,22.74
+vit_large_patch32_224,1629.91,628.244,1024,224,15.39,13.3,306.54
+ese_vovnet39b_evos,1627.7,629.096,1024,224,7.07,6.74,24.58
+cs3darknet_x,1627.54,629.156,1024,288,10.6,14.36,35.05
+resnetv2_50d_evob,1620.95,631.713,1024,224,4.33,11.92,25.59
+efficientnet_cc_b1_8e,1619.01,632.471,1024,240,0.75,15.44,39.72
+resnetv2_152,1614.21,634.351,1024,224,11.55,22.56,60.19
+xception41p,1587.33,322.543,512,299,9.25,39.86,26.91
+regnetx_064,1586.15,484.18,768,224,6.49,16.37,26.21
+coat_lite_small,1583.04,646.84,1024,224,3.96,22.09,19.84
+swinv2_cr_tiny_224,1581.48,647.481,1024,224,4.66,28.45,28.33
+xception,1578.2,486.619,768,299,8.4,35.83,22.86
+gluon_resnet152_v1b,1573.68,650.689,1024,224,11.56,22.56,60.19
+tv_resnet152,1573.22,650.883,1024,224,11.56,22.56,60.19
+resnetv2_50x1_bit_distilled,1572.94,650.997,1024,224,4.23,11.11,25.55
+resnet152,1571.71,651.505,1024,224,11.56,22.56,60.19
+tf_efficientnet_cc_b1_8e,1564.9,654.344,1024,240,0.75,15.44,39.72
+halo2botnet50ts_256,1559.2,656.732,1024,256,5.02,21.78,22.64
+mixer_l32_224,1558.59,656.992,1024,224,11.27,19.86,206.94
+vit_tiny_patch16_384,1557.53,657.441,1024,384,4.7,25.39,5.79
+mobilevitv2_175,1554.07,329.447,512,256,5.54,28.13,14.25
+swinv2_cr_tiny_ns_224,1551.84,659.847,1024,224,4.66,28.45,28.33
+mobilevitv2_175_in22ft1k,1551.58,329.973,512,256,5.54,28.13,14.25
+vit_base_patch32_384,1550.87,660.263,1024,384,13.06,16.5,88.3
+resnetv2_152d,1545.41,662.596,1024,224,11.8,23.36,60.2
+nf_ecaresnet101,1540.66,664.639,1024,224,8.01,16.27,44.55
+nf_seresnet101,1538.7,665.483,1024,224,8.02,16.27,49.33
+gluon_resnet152_v1c,1536.27,666.538,1024,224,11.8,23.36,60.21
+efficientnet_el,1524.59,335.818,512,300,8.0,30.7,10.59
+efficientnet_el_pruned,1523.29,336.105,512,300,8.0,30.7,10.59
+gluon_resnet152_v1d,1508.62,678.753,1024,224,11.8,23.36,60.21
+vgg16_bn,1504.44,340.315,512,224,15.5,13.56,138.37
+twins_pcpvt_base,1494.56,685.139,1024,224,6.68,25.25,43.83
+tf_efficientnet_el,1481.51,345.582,512,300,8.0,30.7,10.59
+vit_base_r26_s32_224,1479.31,692.202,1024,224,6.81,12.36,101.38
+skresnext50_32x4d,1465.64,698.657,1024,224,4.5,17.18,27.48
+convnext_small,1452.43,705.012,1024,224,8.71,21.56,50.22
+convnext_small_in22ft1k,1450.42,705.987,1024,224,8.71,21.56,50.22
+hrnet_w32,1444.27,708.991,1024,224,8.97,22.02,41.23
+ese_vovnet99b,1442.7,709.767,1024,224,16.51,11.27,63.2
+mixer_b16_224,1424.87,718.648,1024,224,12.62,14.53,59.88
+gluon_resnet152_v1s,1424.84,718.665,1024,224,12.92,24.96,60.32
+ecaresnet50t,1422.0,720.1,1024,320,8.82,24.13,25.57
+mixer_b16_224_miil,1421.45,720.381,1024,224,12.62,14.53,59.88
+vgg19,1411.57,725.42,1024,224,19.63,14.86,143.67
+regnety_032,1398.62,732.137,1024,288,5.29,18.61,19.44
+convit_small,1398.4,732.254,1024,224,5.76,17.87,27.78
+nest_tiny,1387.46,553.516,768,224,5.83,25.48,17.06
+legacy_seresnet152,1382.46,740.694,1024,224,11.33,22.08,66.82
+dla169,1382.4,740.729,1024,224,11.6,20.2,53.39
+xcit_tiny_12_p8_224,1374.74,744.858,1024,224,4.81,23.6,6.71
+xcit_tiny_12_p8_224_dist,1374.04,745.236,1024,224,4.81,23.6,6.71
+densenet161,1366.11,749.563,1024,224,7.79,11.06,28.68
+jx_nest_tiny,1362.5,563.656,768,224,5.83,25.48,17.06
+seresnet152,1361.36,752.174,1024,224,11.57,22.61,66.82
+mobilevitv2_200_in22ft1k,1354.63,283.461,384,256,7.22,32.15,18.45
+mobilevitv2_200,1354.25,283.54,384,256,7.22,32.15,18.45
+xception41,1347.67,379.903,512,299,9.28,39.86,26.97
+inception_v4,1323.37,773.767,1024,299,12.28,15.09,42.68
+twins_svt_base,1316.07,778.059,1024,224,8.59,26.33,56.07
+vit_small_resnet50d_s16_224,1305.38,784.435,1024,224,13.48,24.82,57.53
+dpn92,1303.44,785.601,1024,224,6.54,18.21,37.67
+tresnet_m,1297.91,788.947,1024,224,5.74,7.31,31.39
+poolformer_s36,1296.72,789.674,1024,224,5.0,15.82,30.86
+sequencer2d_m,1285.21,796.745,1024,224,6.55,14.26,38.31
+crossvit_18_240,1273.5,804.072,1024,240,9.05,26.26,43.27
+regnetx_080,1271.94,805.056,1024,224,8.02,14.06,39.57
+dla102x2,1271.93,402.524,512,224,9.34,29.91,41.28
+vgg19_bn,1265.83,404.467,512,224,19.66,14.86,143.68
+efficientnet_lite4,1263.67,303.867,384,380,4.04,45.66,13.01
+crossvit_18_dagger_240,1245.15,822.375,1024,240,9.5,27.03,44.27
+res2next50,1241.53,824.775,1024,224,4.2,13.71,24.67
+volo_d1_224,1235.2,829.0,1024,224,6.94,24.43,26.63
+efficientnetv2_s,1221.73,838.141,1024,384,8.44,35.77,21.46
+resnest50d,1214.35,843.233,1024,224,5.4,14.36,27.48
+tf_efficientnetv2_s_in21ft1k,1191.03,859.741,1024,384,8.44,35.77,21.46
+tf_efficientnetv2_s,1191.03,859.748,1024,384,8.44,35.77,21.46
+dpn98,1188.11,861.858,1024,224,11.73,25.2,61.57
+mixnet_xxl,1187.83,323.267,384,224,2.04,23.43,23.96
+swin_small_patch4_window7_224,1183.48,865.227,1024,224,8.77,27.47,49.61
+regnetz_d8,1180.44,867.458,1024,320,6.19,37.08,23.37
+hrnet_w30,1180.28,867.576,1024,224,8.15,21.21,37.71
+gluon_resnext101_64x4d,1176.11,870.653,1024,224,15.52,31.21,83.46
+efficientnetv2_rw_s,1166.72,877.658,1024,384,8.72,38.03,23.94
+tf_efficientnet_lite4,1164.88,329.636,384,380,4.04,45.66,13.01
+swinv2_tiny_window8_256,1158.39,883.971,1024,256,5.96,24.57,28.35
+wide_resnet101_2,1155.6,886.11,1024,224,22.8,21.23,126.89
+repvgg_b2,1154.84,886.691,1024,224,20.45,12.9,89.02
+vit_base_patch16_224_miil,1153.59,887.648,1024,224,17.58,23.9,86.54
+resnet50_gn,1150.43,890.083,1024,224,4.14,11.11,25.56
+resnet200,1149.46,890.84,1024,224,15.07,32.19,64.67
+cait_xxs36_224,1148.13,891.873,1024,224,3.77,30.34,17.3
+xception65p,1140.81,448.791,512,299,13.91,52.48,39.82
+regnetz_040,1140.64,336.641,384,320,6.35,37.78,27.12
+xcit_small_24_p16_224_dist,1137.7,900.049,1024,224,9.1,23.64,47.67
+xcit_small_24_p16_224,1136.58,900.934,1024,224,9.1,23.64,47.67
+regnetz_040h,1135.68,338.111,384,320,6.43,37.94,28.94
+deit_base_patch16_224,1133.84,903.113,1024,224,17.58,23.9,86.57
+vit_base_patch16_224,1133.45,903.419,1024,224,17.58,23.9,86.57
+vit_base_patch16_224_sam,1132.11,904.493,1024,224,17.58,23.9,86.57
+regnetz_d32,1128.13,907.679,1024,320,9.33,37.08,27.58
+dla60_res2next,1127.83,907.922,1024,224,3.49,13.17,17.03
+eca_nfnet_l0,1126.64,908.88,1024,288,7.12,17.29,24.14
+resnetrs101,1123.2,911.667,1024,288,13.56,28.53,63.62
+nfnet_l0,1123.1,911.747,1024,288,7.13,17.29,35.07
+deit_base_distilled_patch16_224,1119.36,914.798,1024,224,17.68,24.05,87.34
+vit_base_patch16_rpn_224,1111.53,921.235,1024,224,17.49,23.75,86.54
+inception_resnet_v2,1108.79,923.511,1024,299,13.18,25.06,55.84
+ens_adv_inception_resnet_v2,1107.31,924.747,1024,299,13.18,25.06,55.84
+deit3_base_patch16_224,1093.88,936.101,1024,224,17.58,23.9,86.59
+deit3_base_patch16_224_in21ft1k,1092.45,937.33,1024,224,17.58,23.9,86.59
+gluon_seresnext101_64x4d,1088.94,940.353,1024,224,15.53,31.25,88.23
+vit_relpos_base_patch16_clsgap_224,1081.95,946.422,1024,224,17.6,25.12,86.43
+vit_relpos_base_patch16_cls_224,1081.77,946.586,1024,224,17.6,25.12,86.43
+vit_relpos_base_patch16_rpn_224,1080.35,947.826,1024,224,17.51,24.97,86.41
+vit_relpos_base_patch16_224,1079.52,948.56,1024,224,17.51,24.97,86.43
+tnt_s_patch16_224,1078.48,949.47,1024,224,5.24,24.37,23.76
+twins_pcpvt_large,1066.87,959.801,1024,224,9.84,35.82,60.99
+ssl_resnext101_32x8d,1054.92,970.677,1024,224,16.48,31.21,88.79
+resnext101_32x8d,1054.71,970.869,1024,224,16.48,31.21,88.79
+ig_resnext101_32x8d,1054.19,971.349,1024,224,16.48,31.21,88.79
+swsl_resnext101_32x8d,1053.69,971.812,1024,224,16.48,31.21,88.79
+beit_base_patch16_224,1049.2,975.962,1024,224,17.58,23.9,86.53
+resnest50d_4s2x40d,1042.05,982.666,1024,224,4.4,17.94,30.42
+coat_tiny,1040.04,984.566,1024,224,4.35,27.2,5.5
+resnet101d,1029.19,994.942,1024,320,16.48,34.77,44.57
+convnext_base,1012.72,1011.124,1024,224,15.38,28.75,88.59
+convnext_base_in22ft1k,1011.75,1012.088,1024,224,15.38,28.75,88.59
+efficientnet_b4,993.87,386.356,384,384,4.51,50.04,19.34
+pit_b_224,992.43,515.895,512,224,12.42,32.94,73.76
+pit_b_distilled_224,988.79,517.791,512,224,12.5,33.07,74.79
+gluon_xception65,981.26,521.764,512,299,13.96,52.48,39.92
+xception65,975.37,524.918,512,299,13.96,52.48,39.92
+vit_small_patch16_36x1_224,973.92,1051.404,1024,224,13.71,35.69,64.67
+repvgg_b3,972.06,1053.416,1024,224,29.16,15.1,123.09
+repvgg_b2g4,969.39,1056.316,1024,224,12.63,12.9,61.76
+xcit_tiny_24_p16_384_dist,969.37,1056.345,1024,384,6.87,34.29,12.12
+swinv2_cr_small_224,967.97,1057.869,1024,224,9.07,50.27,49.7
+swinv2_cr_small_ns_224,957.86,1069.034,1024,224,9.08,50.27,49.7
+vit_small_patch16_18x2_224,951.03,1076.715,1024,224,13.71,35.69,64.67
+twins_svt_large,923.66,1108.616,1024,224,15.15,35.1,99.27
+tf_efficientnet_b4,922.69,416.164,384,380,4.49,49.49,19.34
+tf_efficientnet_b4_ap,922.5,416.247,384,380,4.49,49.49,19.34
+tf_efficientnet_b4_ns,922.41,416.289,384,380,4.49,49.49,19.34
+hrnet_w40,910.46,1124.691,1024,224,12.75,25.29,57.56
+regnetz_b16_evos,903.54,849.98,768,288,2.36,16.43,9.74
+cait_s24_224,902.24,1134.941,1024,224,9.35,40.58,46.92
+nfnet_f0,901.6,1135.748,1024,256,12.62,18.05,71.49
+nf_regnet_b4,900.78,1136.78,1024,384,4.7,28.61,30.21
+poolformer_m36,896.53,1142.174,1024,224,8.8,22.02,56.17
+nest_small,884.77,868.006,768,224,10.35,40.04,38.35
+hrnet_w48,875.56,1169.527,1024,224,17.34,28.56,77.47
+jx_nest_small,874.29,878.41,768,224,10.35,40.04,38.35
+dpn131,866.66,1181.531,1024,224,16.09,32.97,79.25
+swin_s3_small_224,854.8,898.443,768,224,9.43,37.84,49.74
+regnety_040,854.48,898.782,768,288,6.61,20.3,20.65
+regnetv_040,854.18,899.093,768,288,6.6,20.3,20.64
+regnety_080,846.16,605.071,512,288,13.22,29.69,39.18
+resnetv2_50d_evos,844.23,1212.929,1024,288,7.15,19.7,25.59
+coat_mini,836.76,1223.748,1024,224,6.82,33.68,10.34
+swin_base_patch4_window7_224,836.19,1224.59,1024,224,15.47,36.63,87.77
+repvgg_b3g4,835.5,1225.597,1024,224,17.89,15.1,83.83
+sequencer2d_l,832.91,1229.407,1024,224,9.74,22.12,54.3
+dm_nfnet_f0,831.16,1232.004,1024,256,12.62,18.05,71.49
+mobilevitv2_150_384_in22ft1k,826.94,309.566,256,384,9.2,54.25,10.59
+gmlp_b16_224,825.63,1240.256,1024,224,15.78,30.21,73.08
+convnext_tiny_384_in22ft1k,814.55,628.553,512,384,13.14,39.48,28.59
+xcit_medium_24_p16_224_dist,812.18,1260.787,1024,224,16.13,31.71,84.4
+xcit_medium_24_p16_224,812.16,1260.822,1024,224,16.13,31.71,84.4
+regnetx_120,810.53,631.674,512,224,12.13,21.37,46.11
+xcit_small_12_p16_384_dist,800.29,1279.521,1024,384,14.14,36.51,26.25
+densenet264,798.84,1281.845,1024,224,12.95,12.8,72.69
+hrnet_w44,790.45,1295.441,1024,224,14.94,26.92,67.06
+crossvit_base_240,787.5,975.226,768,240,21.22,36.33,105.03
+regnety_120,783.87,653.154,512,224,12.14,21.38,51.82
+swinv2_tiny_window16_256,765.77,668.599,512,256,6.68,39.02,28.35
+resnetv2_50d_gn,751.14,1022.427,768,288,7.24,19.7,25.57
+xception71,749.93,682.721,512,299,18.09,69.92,42.34
+vit_large_r50_s32_224,739.74,1384.252,1024,224,19.58,24.41,328.99
+vit_base_patch16_plus_240,737.95,1387.618,1024,240,27.41,33.08,117.56
+dpn107,736.42,1390.497,1024,224,18.38,33.46,86.92
+resnet152d,736.09,1391.121,1024,320,24.08,47.67,60.21
+ecaresnet200d,730.76,1401.271,1024,256,20.0,43.15,64.69
+seresnet200d,728.63,1405.363,1024,256,20.01,43.15,71.86
+vit_relpos_base_patch16_plus_240,727.74,1407.074,1024,240,27.3,34.33,117.38
+xcit_tiny_24_p8_224,725.69,1411.06,1024,224,9.21,45.39,12.11
+xcit_tiny_24_p8_224_dist,725.66,1411.108,1024,224,9.21,45.39,12.11
+hrnet_w64,719.99,1422.231,1024,224,28.97,35.09,128.06
+regnety_040s_gn,719.08,1068.018,768,224,4.03,12.29,20.65
+xcit_nano_12_p8_384_dist,713.49,1435.191,1024,384,6.34,46.08,3.05
+swinv2_small_window8_256,712.51,1437.16,1024,256,11.58,40.14,49.73
+convit_base,706.35,1449.693,1024,224,17.52,31.77,86.54
+resnext101_64x4d,704.57,1090.007,768,288,25.66,51.59,83.46
+swin_s3_base_224,695.14,1473.064,1024,224,13.69,48.26,71.13
+vit_small_patch16_384,693.62,1107.217,768,384,15.52,50.78,22.2
+tnt_b_patch16_224,691.83,1480.107,1024,224,14.09,39.01,65.41
+swinv2_cr_base_224,689.84,1484.394,1024,224,15.86,59.66,87.88
+regnety_064,684.37,748.122,512,288,10.56,27.11,30.58
+swinv2_cr_base_ns_224,683.96,1497.137,1024,224,15.86,59.66,87.88
+volo_d2_224,679.94,1506.002,1024,224,14.34,41.34,58.68
+mobilevitv2_175_384_in22ft1k,679.77,376.586,256,384,12.47,63.29,14.25
+regnetv_064,678.0,755.149,512,288,10.55,27.11,30.58
+poolformer_m48,676.06,1514.652,1024,224,11.59,29.17,73.47
+deit3_small_patch16_384,669.71,1146.752,768,384,15.52,50.78,22.21
+deit3_small_patch16_384_in21ft1k,669.36,1147.345,768,384,15.52,50.78,22.21
+legacy_senet154,660.41,1550.529,1024,224,20.77,38.69,115.09
+senet154,659.33,1553.081,1024,224,20.77,38.69,115.09
+gluon_senet154,659.08,1553.657,1024,224,20.77,38.69,115.09
+regnetx_160,650.99,786.486,512,224,15.99,25.52,54.28
+resnetrs152,646.22,1584.595,1024,320,24.34,48.14,86.62
+seresnet152d,642.19,1594.525,1024,320,24.09,47.72,66.84
+regnetz_e8,633.28,1212.715,768,320,15.46,63.94,57.7
+tresnet_l,630.57,1623.908,1024,224,10.88,11.9,55.99
+nest_base,629.43,813.42,512,224,17.96,53.39,67.72
+ese_vovnet99b_iabn,628.09,1630.325,1024,224,16.49,11.27,63.2
+jx_nest_base,622.33,822.697,512,224,17.96,53.39,67.72
+vit_small_r26_s32_384,613.78,834.168,512,384,10.43,29.85,36.47
+vit_base_r50_s16_224,610.7,1676.739,1024,224,21.66,35.29,98.66
+xcit_small_12_p8_224,609.86,1679.054,1024,224,18.69,47.21,26.21
+xcit_small_12_p8_224_dist,609.57,1679.853,1024,224,18.69,47.21,26.21
+efficientnetv2_m,603.09,1697.911,1024,416,18.6,67.5,54.14
+mobilevitv2_200_384_in22ft1k,594.06,323.186,192,384,16.24,72.34,18.45
+seresnext101_32x8d,590.8,1299.927,768,288,27.24,51.63,93.57
+resnest101e,588.3,1305.448,768,256,13.38,28.66,48.28
+regnetz_c16_evos,588.05,870.656,512,320,3.86,25.88,13.49
+convmixer_768_32,578.91,1768.818,1024,224,19.55,25.95,21.11
+seresnext101d_32x8d,575.36,1334.812,768,288,27.64,52.95,93.59
+seresnet269d,570.63,1794.5,1024,256,26.59,53.6,113.67
+convnext_large,561.47,1823.764,1024,224,34.4,43.13,197.77
+convnext_large_in22ft1k,560.92,1825.557,1024,224,34.4,43.13,197.77
+resnet200d,544.65,1880.08,1024,320,31.25,67.33,64.69
+efficientnetv2_rw_m,534.87,1435.852,768,416,21.49,79.62,53.24
+seresnextaa101d_32x8d,521.71,1472.057,768,288,28.51,56.44,93.59
+vit_large_patch32_384,517.33,1979.373,1024,384,45.31,43.86,306.63
+swinv2_base_window8_256,509.01,2011.746,1024,256,20.37,52.59,87.92
+eca_nfnet_l1,497.06,2060.113,1024,320,14.92,34.42,41.41
+convnext_small_384_in22ft1k,496.5,1031.206,512,384,25.58,63.37,50.22
+mixer_l16_224,495.85,2065.122,1024,224,44.6,41.69,208.2
+efficientnet_b5,493.19,519.054,256,456,10.46,98.86,30.39
+halonet_h1,492.19,520.115,256,256,3.0,51.17,8.1
+regnety_320,483.53,1058.87,512,224,32.34,30.26,145.05
+swin_large_patch4_window7_224,480.21,1599.271,768,224,34.53,54.94,196.53
+swinv2_small_window16_256,477.23,1072.842,512,256,12.82,66.29,49.73
+volo_d3_224,474.32,2158.852,1024,224,20.78,60.09,86.33
+resnetrs200,471.22,2173.072,1024,320,31.51,67.81,93.21
+tf_efficientnet_b5_ns,469.35,545.419,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ap,469.08,545.738,256,456,10.46,98.86,30.39
+tf_efficientnet_b5,468.97,545.864,256,456,10.46,98.86,30.39
+xcit_tiny_12_p8_384_dist,468.35,2186.374,1024,384,14.13,69.14,6.71
+tresnet_xl,466.16,2196.648,1024,224,15.17,15.34,78.44
+efficientnet_b3_gn,464.67,550.914,256,320,2.14,28.83,11.73
+xcit_large_24_p16_224_dist,454.83,2251.393,1024,224,35.86,47.27,189.1
+xcit_large_24_p16_224,454.8,2251.543,1024,224,35.86,47.27,189.1
+tf_efficientnetv2_m_in21ft1k,444.81,1726.544,768,480,24.76,89.84,54.14
+tf_efficientnetv2_m,444.79,1726.633,768,480,24.76,89.84,54.14
+xcit_small_24_p16_384_dist,426.37,2401.669,1024,384,26.72,68.58,47.67
+regnety_160,422.88,908.045,384,288,26.37,38.07,83.59
+nf_regnet_b5,413.3,1238.797,512,456,11.7,61.95,49.74
+swinv2_cr_tiny_384,408.94,625.992,256,384,15.34,161.01,28.33
+swinv2_cr_large_224,406.2,1890.673,768,224,35.1,78.42,196.68
+resnetv2_50x1_bitm,400.73,958.233,384,448,16.62,44.46,25.55
+regnetz_d8_evos,392.85,1954.947,768,320,7.03,38.92,23.46
+convmixer_1024_20_ks9_p14,390.62,2621.469,1024,224,5.55,5.51,24.38
+efficientnet_b3_g8_gn,373.24,685.874,256,320,3.2,28.83,14.25
+vit_large_patch16_224,370.72,2762.206,1024,224,61.6,63.52,304.33
+convnext_xlarge_in22ft1k,368.8,1388.275,512,224,60.98,57.5,350.2
+crossvit_15_dagger_408,368.65,694.421,256,408,21.45,95.05,28.5
+vit_base_patch16_18x2_224,361.92,2829.305,1024,224,52.51,71.38,256.73
+deit3_large_patch16_224_in21ft1k,358.3,2857.929,1024,224,61.6,63.52,304.37
+deit3_large_patch16_224,357.82,2861.791,1024,224,61.6,63.52,304.37
+swinv2_base_window16_256,346.22,1109.109,384,256,22.02,84.71,87.92
+swinv2_base_window12to16_192to256_22kft1k,345.97,1109.898,384,256,22.02,84.71,87.92
+nasnetalarge,345.75,1110.628,384,331,23.89,90.56,88.75
+convnext_base_384_in22ft1k,345.74,1110.63,384,384,45.21,84.49,88.59
+beit_large_patch16_224,343.01,2985.299,1024,224,61.6,63.52,304.43
+ssl_resnext101_32x16d,338.92,1510.65,512,224,36.27,51.18,194.03
+ig_resnext101_32x16d,338.75,1511.419,512,224,36.27,51.18,194.03
+swsl_resnext101_32x16d,338.52,1512.441,512,224,36.27,51.18,194.03
+tresnet_m_448,325.14,3149.347,1024,448,22.94,29.21,31.39
+pnasnet5large,323.98,1185.25,384,331,25.04,92.89,86.06
+regnetx_320,320.95,1196.437,384,224,31.81,36.3,107.81
+xcit_small_24_p8_224,319.26,3207.434,1024,224,35.81,90.78,47.63
+xcit_small_24_p8_224_dist,319.16,3208.44,1024,224,35.81,90.78,47.63
+volo_d1_384,315.83,1621.098,512,384,22.75,108.55,26.78
+nfnet_f1,306.71,3338.679,1024,320,35.97,46.77,132.63
+ecaresnet269d,304.87,3358.754,1024,352,50.25,101.25,102.09
+volo_d4_224,303.38,3375.331,1024,224,44.34,80.22,192.96
+xcit_medium_24_p16_384_dist,297.67,2580.013,768,384,47.39,91.64,84.4
+resnetrs270,296.93,3448.599,1024,352,51.13,105.48,129.86
+resnetv2_152x2_bit_teacher,290.64,2642.472,768,224,46.95,45.11,236.34
+vit_base_patch16_384,289.22,1327.696,384,384,55.54,101.56,86.86
+deit_base_patch16_384,289.04,1328.502,384,384,55.54,101.56,86.86
+deit_base_distilled_patch16_384,285.12,1346.806,384,384,55.65,101.82,87.63
+dm_nfnet_f1,282.58,3623.721,1024,320,35.97,46.77,132.63
+deit3_base_patch16_384,281.04,1366.341,384,384,55.54,101.56,86.88
+deit3_base_patch16_384_in21ft1k,280.92,1366.918,384,384,55.54,101.56,86.88
+efficientnet_b6,279.71,457.611,128,528,19.4,167.39,43.04
+cait_xxs24_384,275.0,3723.573,1024,384,9.63,122.66,12.03
+vit_large_patch14_224,271.58,3770.566,1024,224,81.08,88.79,304.2
+crossvit_18_dagger_408,269.56,712.259,192,408,32.47,124.87,44.61
+tf_efficientnet_b6_ap,267.5,478.495,128,528,19.4,167.39,43.04
+tf_efficientnet_b6,267.48,478.534,128,528,19.4,167.39,43.04
+tf_efficientnet_b6_ns,267.38,478.715,128,528,19.4,167.39,43.04
+efficientnetv2_l,254.55,2011.402,512,480,56.4,157.99,118.52
+resnetv2_101x1_bitm,252.46,1521.025,384,448,31.65,64.93,44.54
+tf_efficientnetv2_l,251.41,2036.496,512,480,56.4,157.99,118.52
+tf_efficientnetv2_l_in21ft1k,251.09,2039.122,512,480,56.4,157.99,118.52
+swinv2_cr_small_384,250.5,1021.951,256,384,29.7,298.03,49.7
+beit_base_patch16_384,248.36,1546.143,384,384,55.54,101.56,86.74
+xcit_tiny_24_p8_384_dist,246.6,4152.437,1024,384,27.05,132.95,12.11
+vit_large_r50_s32_384,246.12,2080.308,512,384,57.43,76.52,329.09
+eca_nfnet_l2,237.09,3239.214,768,384,30.05,68.28,56.72
+resmlp_big_24_224,228.25,4486.35,1024,224,100.23,87.31,129.14
+resmlp_big_24_224_in22ft1k,227.96,4491.908,1024,224,100.23,87.31,129.14
+resmlp_big_24_distilled_224,227.94,4492.471,1024,224,100.23,87.31,129.14
+xcit_medium_24_p8_224_dist,222.27,3455.29,768,224,63.53,121.23,84.32
+xcit_medium_24_p8_224,222.27,3455.239,768,224,63.53,121.23,84.32
+swin_base_patch4_window12_384,221.01,868.732,192,384,47.19,134.78,87.9
+swinv2_large_window12to16_192to256_22kft1k,212.32,1205.699,256,256,47.81,121.53,196.74
+xcit_small_12_p8_384_dist,207.32,1852.22,384,384,54.92,138.29,26.21
+resnest200e,201.89,2536.056,512,320,35.69,82.78,70.2
+volo_d5_224,200.39,5110.009,1024,224,72.4,118.11,295.46
+resnetrs350,194.78,3942.989,768,384,77.59,154.74,163.96
+convnext_large_384_in22ft1k,191.43,1337.313,256,384,101.1,126.74,197.77
+cait_xs24_384,190.0,4042.088,768,384,19.28,183.98,26.67
+vit_base_patch8_224,188.23,1360.04,256,224,78.22,161.69,86.58
+cait_xxs36_384,183.87,5569.221,1024,384,14.35,183.7,17.37
+swinv2_cr_base_384,178.69,1432.608,256,384,50.57,333.68,87.88
+vit_base_r50_s16_384,176.73,1448.509,256,384,67.43,135.03,98.95
+vit_base_resnet50_384,176.72,1448.639,256,384,67.43,135.03,98.95
+volo_d2_384,176.17,2179.696,384,384,46.17,184.51,58.87
+swinv2_cr_huge_224,175.72,2185.293,384,224,115.97,121.08,657.83
+nfnet_f2,172.68,5929.942,1024,352,63.22,79.06,193.78
+xcit_large_24_p16_384_dist,168.33,3041.628,512,384,105.35,137.17,189.1
+densenet264d_iabn,166.37,6155.083,1024,224,13.47,14.0,72.74
+efficientnet_b7,161.46,594.574,96,600,38.33,289.94,66.35
+efficientnetv2_xl,159.28,2410.894,384,512,93.85,247.32,208.12
+dm_nfnet_f2,159.16,4825.445,768,352,63.22,79.06,193.78
+tf_efficientnetv2_xl_in21ft1k,158.05,2429.572,384,512,93.85,247.32,208.12
+tf_efficientnet_b7,155.86,615.938,96,600,38.33,289.94,66.35
+tf_efficientnet_b7_ap,155.83,616.029,96,600,38.33,289.94,66.35
+tf_efficientnet_b7_ns,155.78,616.248,96,600,38.33,289.94,66.35
+tresnet_l_448,151.99,6737.079,1024,448,43.5,47.56,55.99
+cait_s24_384,148.32,3451.871,512,384,32.17,245.31,47.06
+vit_huge_patch14_224,146.38,6995.606,1024,224,167.4,139.41,632.05
+ig_resnext101_32x32d,143.03,1789.868,256,224,87.29,91.12,468.53
+resnetrs420,142.89,5374.778,768,416,108.45,213.79,191.89
+deit3_huge_patch14_224,142.28,7197.12,1024,224,167.4,139.41,632.13
+deit3_huge_patch14_224_in21ft1k,142.06,7208.264,1024,224,167.4,139.41,632.13
+eca_nfnet_l3,132.47,3864.977,512,448,52.55,118.4,72.04
+swin_large_patch4_window12_384,130.79,978.633,128,384,104.08,202.16,196.74
+convnext_xlarge_384_in22ft1k,126.14,2029.4,256,384,179.2,168.99,350.2
+xcit_large_24_p8_224,125.6,4076.305,512,224,141.23,181.56,188.93
+xcit_large_24_p8_224_dist,125.51,4079.48,512,224,141.23,181.56,188.93
+tresnet_xl_448,111.87,9153.659,1024,448,60.65,61.31,78.44
+xcit_small_24_p8_384_dist,108.62,3535.115,384,384,105.24,265.91,47.63
+swinv2_cr_large_384,108.25,1182.395,128,384,108.95,404.96,196.68
+efficientnet_b8,101.79,943.075,96,672,63.48,442.89,87.41
+resnetv2_50x3_bitm,101.1,1266.075,128,448,145.7,133.37,217.32
+cait_s36_384,99.17,5162.791,512,384,47.99,367.4,68.37
+tf_efficientnet_b8,98.82,971.416,96,672,63.48,442.89,87.41
+tf_efficientnet_b8_ap,98.81,971.518,96,672,63.48,442.89,87.41
+resnetv2_152x2_bit_teacher_384,98.49,2599.208,256,384,136.16,132.56,236.34
+vit_large_patch16_384,97.65,2621.481,256,384,191.21,270.24,304.72
+vit_giant_patch14_224,95.7,8025.142,768,224,267.18,192.64,1012.61
+deit3_large_patch16_384,94.92,2697.101,256,384,191.21,270.24,304.76
+deit3_large_patch16_384_in21ft1k,94.92,2697.083,256,384,191.21,270.24,304.76
+swinv2_base_window12to24_192to384_22kft1k,94.52,677.087,64,384,55.25,280.36,87.92
+nfnet_f3,93.84,8184.276,768,416,115.58,141.78,254.92
+resnest269e,93.31,4115.183,384,416,77.69,171.98,110.93
+dm_nfnet_f3,86.56,5914.801,512,416,115.58,141.78,254.92
+beit_large_patch16_384,84.77,3019.757,256,384,191.21,270.24,305.0
+volo_d3_448,76.33,2515.269,192,448,96.33,446.83,86.63
+xcit_medium_24_p8_384_dist,75.97,3369.835,256,384,186.67,354.73,84.32
+ig_resnext101_32x48d,74.47,2578.247,192,224,153.57,131.06,828.41
+resnetv2_152x2_bitm,72.95,2631.902,192,448,184.99,180.43,236.34
+tf_efficientnet_l2_ns_475,63.13,1013.713,64,475,172.11,609.89,480.31
+resnetv2_101x3_bitm,60.06,2131.166,128,448,280.33,194.78,387.93
+swinv2_large_window12to24_192to384_22kft1k,59.82,802.459,48,384,116.15,407.83,196.74
+vit_gigantic_patch14_224,57.64,8883.342,512,224,483.95,275.37,1844.44
+volo_d4_448,56.09,3423.322,192,448,197.13,527.35,193.41
+convmixer_1536_20,53.95,18979.912,1024,224,48.68,33.03,51.63
+swinv2_cr_giant_224,50.56,2531.46,128,224,483.85,309.15,2598.76
+nfnet_f4,49.93,10254.329,512,512,216.26,262.26,316.07
+swinv2_cr_huge_384,47.13,1357.909,64,384,352.04,583.18,657.94
+dm_nfnet_f4,45.97,8353.673,384,512,216.26,262.26,316.07
+xcit_large_24_p8_384_dist,42.84,4481.402,192,384,415.0,531.82,188.93
+volo_d5_448,38.62,3314.317,128,448,315.06,737.92,295.91
+nfnet_f5,37.03,10370.994,384,544,290.97,349.71,377.21
+dm_nfnet_f5,33.93,11318.026,384,544,290.97,349.71,377.21
+beit_large_patch16_512,33.87,2834.401,96,512,362.24,656.39,305.67
+cait_m36_384,32.22,7945.944,256,384,173.11,734.81,271.22
+nfnet_f6,28.33,13554.319,384,576,378.69,452.2,438.36
+volo_d5_512,26.99,4742.789,128,512,425.09,1105.37,296.09
+dm_nfnet_f6,26.14,9792.719,256,576,378.69,452.2,438.36
+resnetv2_152x4_bitm,24.34,2629.892,64,480,844.84,414.26,936.53
+efficientnet_l2,23.12,1037.889,24,800,479.12,1707.39,480.31
+tf_efficientnet_l2_ns,22.7,1057.422,24,800,479.12,1707.39,480.31
+nfnet_f7,22.34,11460.175,256,608,480.39,570.85,499.5
+swinv2_cr_giant_384,14.63,2187.208,32,384,1450.71,1394.86,2598.76
+cait_m48_448,13.64,9385.159,128,448,329.41,1708.23,356.46