diff --git a/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv
deleted file mode 100644
index d006a42b..00000000
--- a/results/benchmark-infer-amp-nchw-pt110-cu113-rtx3090.csv
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@@ -1,754 +0,0 @@
-model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
-tinynet_e,45729.13,22.382,1024,106,0.03,0.69,2.04
-mobilenetv3_small_050,36893.28,27.745,1024,224,0.03,0.92,1.59
-lcnet_035,35105.45,29.158,1024,224,0.03,1.04,1.64
-lcnet_050,30263.97,33.825,1024,224,0.05,1.26,1.88
-tf_mobilenetv3_small_minimal_100,27416.94,37.338,1024,224,0.06,1.41,2.04
-mobilenetv3_small_075,26904.17,38.049,1024,224,0.05,1.3,2.04
-tinynet_d,25044.68,40.875,1024,152,0.05,1.42,2.34
-mobilenetv3_small_100,23617.79,43.346,1024,224,0.06,1.42,2.54
-tf_mobilenetv3_small_075,23189.43,44.147,1024,224,0.05,1.3,2.04
-tf_mobilenetv3_small_100,20762.5,49.309,1024,224,0.06,1.42,2.54
-levit_128s,19460.71,52.608,1024,224,0.31,1.88,7.78
-lcnet_075,19432.12,52.685,1024,224,0.1,1.99,2.36
-mnasnet_small,17836.77,57.398,1024,224,0.07,2.16,2.03
-mobilenetv2_035,17430.32,58.737,1024,224,0.07,2.86,1.68
-ghostnet_050,16407.44,62.399,1024,224,0.05,1.77,2.59
-regnetx_002,16261.91,62.957,1024,224,0.2,2.16,2.68
-lcnet_100,15473.86,66.165,1024,224,0.16,2.52,2.95
-regnety_002,15227.36,67.236,1024,224,0.2,2.17,3.16
-mobilenetv2_050,13934.38,73.476,1024,224,0.1,3.64,1.97
-levit_128,13275.72,77.121,1024,224,0.41,2.71,9.21
-mnasnet_050,13141.39,77.91,1024,224,0.11,3.07,2.22
-tinynet_c,12655.67,80.901,1024,184,0.11,2.87,2.46
-semnasnet_050,12612.89,81.175,1024,224,0.11,3.44,2.08
-levit_192,11388.57,89.902,1024,224,0.66,3.2,10.95
-gernet_s,10813.61,94.684,1024,224,0.75,2.65,8.17
-mixer_s32_224,10504.33,97.471,1024,224,1.0,2.28,19.1
-mobilenetv3_large_075,10490.35,97.601,1024,224,0.16,4.0,3.99
-vit_small_patch32_224,10240.88,99.979,1024,224,1.15,2.5,22.88
-regnetx_004,10074.95,101.626,1024,224,0.4,3.14,5.16
-lcnet_150,9963.3,102.765,1024,224,0.34,3.79,4.5
-ese_vovnet19b_slim_dw,9910.83,103.307,1024,224,0.4,5.28,1.9
-tf_mobilenetv3_large_minimal_100,9754.43,104.966,1024,224,0.22,4.4,3.92
-tf_mobilenetv3_large_075,9324.76,109.803,1024,224,0.16,4.0,3.99
-vit_tiny_r_s16_p8_224,9271.21,110.438,1024,224,0.44,2.06,6.34
-mobilenetv3_rw,9237.45,110.841,1024,224,0.23,4.41,5.48
-mobilenetv3_large_100_miil,9122.48,112.239,1024,224,0.23,4.41,5.48
-mobilenetv3_large_100,9113.48,112.349,1024,224,0.23,4.41,5.48
-swsl_resnet18,8964.25,114.22,1024,224,1.82,2.48,11.69
-ssl_resnet18,8954.23,114.347,1024,224,1.82,2.48,11.69
-resnet18,8950.63,114.393,1024,224,1.82,2.48,11.69
-gluon_resnet18_v1b,8904.35,114.988,1024,224,1.82,2.48,11.69
-ghostnet_100,8800.66,116.343,1024,224,0.15,3.55,5.18
-mobilenetv2_075,8784.57,116.556,1024,224,0.22,5.86,2.64
-mnasnet_075,8615.15,118.849,1024,224,0.23,4.77,3.17
-regnety_004,8508.99,120.332,1024,224,0.41,3.89,4.34
-seresnet18,8476.05,120.8,1024,224,1.82,2.49,11.78
-levit_256,8328.46,122.939,1024,224,1.13,4.23,18.89
-legacy_seresnet18,8221.84,124.534,1024,224,1.82,2.49,11.78
-tf_mobilenetv3_large_100,8193.03,124.971,1024,224,0.23,4.41,5.48
-tinynet_b,8097.58,126.445,1024,188,0.21,4.44,3.73
-semnasnet_075,8084.78,126.646,1024,224,0.23,5.54,2.91
-regnetx_006,8071.67,126.849,1024,224,0.61,3.98,6.2
-mobilenetv2_100,7909.09,129.46,1024,224,0.31,6.68,3.5
-hardcorenas_a,7647.53,133.887,1024,224,0.23,4.38,5.26
-hardcorenas_b,7621.16,134.351,1024,224,0.26,5.09,5.18
-mnasnet_b1,7496.38,136.587,1024,224,0.33,5.46,4.38
-resnet18d,7495.1,136.61,1024,224,2.06,3.29,11.71
-mnasnet_100,7464.6,137.169,1024,224,0.33,5.46,4.38
-regnety_006,7283.03,140.589,1024,224,0.61,4.33,6.06
-levit_256d,7198.1,142.247,1024,224,1.4,4.93,26.21
-ghostnet_130,7150.23,143.2,1024,224,0.24,4.6,7.36
-semnasnet_100,7147.27,143.26,1024,224,0.32,6.23,3.89
-mnasnet_a1,7145.4,143.297,1024,224,0.32,6.23,3.89
-hardcorenas_c,7122.02,143.767,1024,224,0.28,5.01,5.52
-spnasnet_100,7064.4,144.94,1024,224,0.35,6.03,4.42
-hardcorenas_d,7022.23,145.809,1024,224,0.3,4.93,7.5
-ese_vovnet19b_slim,7002.56,146.217,1024,224,1.69,3.52,3.17
-tf_efficientnetv2_b0,6802.55,150.52,1024,224,0.73,4.77,7.14
-regnetx_008,6364.35,160.884,1024,224,0.81,5.15,7.26
-tinynet_a,6111.01,167.554,1024,192,0.35,5.41,6.19
-efficientnet_lite0,6045.52,169.367,1024,224,0.4,6.74,4.65
-rexnet_100,6041.15,169.492,1024,224,0.41,7.44,4.8
-rexnetr_100,5996.51,170.755,1024,224,0.43,7.72,4.88
-mobilenetv2_110d,5977.45,171.298,1024,224,0.45,8.71,4.52
-resnetblur18,5956.09,171.912,1024,224,2.34,3.39,11.69
-regnety_008,5950.01,172.087,1024,224,0.81,5.25,6.26
-hardcorenas_f,5941.51,172.335,1024,224,0.35,5.57,8.2
-dla46_c,5913.03,173.163,1024,224,0.58,4.5,1.3
-hardcorenas_e,5713.6,179.209,1024,224,0.35,5.65,8.07
-skresnet18,5591.52,183.122,1024,224,1.82,3.24,11.96
-fbnetc_100,5586.56,183.283,1024,224,0.4,6.51,5.57
-regnetz_005,5486.82,186.617,1024,224,0.52,5.86,7.12
-tf_efficientnet_lite0,5460.79,187.507,1024,224,0.4,6.74,4.65
-efficientnet_b0,5369.25,190.703,1024,224,0.4,6.75,5.29
-efficientnet_b1_pruned,5363.23,190.917,1024,240,0.4,6.21,6.33
-mobilenetv2_140,5279.19,193.957,1024,224,0.6,9.57,6.11
-gluon_resnet34_v1b,5264.52,194.497,1024,224,3.67,3.74,21.8
-resnet34,5261.07,194.625,1024,224,3.67,3.74,21.8
-tv_resnet34,5246.08,195.181,1024,224,3.67,3.74,21.8
-mnasnet_140,5193.79,197.147,1024,224,0.6,7.71,7.12
-ese_vovnet19b_dw,5184.9,197.482,1024,224,1.34,8.25,6.54
-hrnet_w18_small,5155.87,198.596,1024,224,1.61,5.72,13.19
-nf_regnet_b0,5101.72,200.704,1024,256,0.64,5.58,8.76
-visformer_tiny,5101.23,200.723,1024,224,1.27,5.72,10.32
-levit_384,5073.3,201.829,1024,224,2.36,6.26,39.13
-semnasnet_140,4966.63,206.164,1024,224,0.6,8.87,6.11
-seresnet34,4945.0,207.065,1024,224,3.67,3.74,21.96
-tf_efficientnet_b0_ap,4905.52,208.732,1024,224,0.4,6.75,5.29
-gernet_m,4904.45,208.778,1024,224,3.02,5.24,21.14
-tf_efficientnet_b0_ns,4901.28,208.912,1024,224,0.4,6.75,5.29
-tf_efficientnet_b0,4899.3,208.998,1024,224,0.4,6.75,5.29
-deit_tiny_patch16_224,4843.68,211.396,1024,224,1.26,5.97,5.72
-vit_tiny_patch16_224,4826.03,212.17,1024,224,1.26,5.97,5.72
-legacy_seresnet34,4801.6,213.249,1024,224,3.67,3.74,21.96
-selecsls42,4799.44,213.344,1024,224,2.94,4.62,30.35
-selecsls42b,4785.96,213.947,1024,224,2.98,4.62,32.46
-deit_tiny_distilled_patch16_224,4763.87,214.938,1024,224,1.27,6.01,5.91
-dla46x_c,4729.04,216.521,1024,224,0.54,5.66,1.07
-resnet34d,4728.13,216.564,1024,224,3.91,4.54,21.82
-rexnetr_130,4595.96,222.792,1024,224,0.68,9.81,7.61
-mixnet_s,4558.15,224.639,1024,224,0.25,6.25,4.13
-pit_ti_distilled_224,4547.26,225.178,1024,224,0.71,6.23,5.1
-pit_ti_224,4535.39,225.767,1024,224,0.7,6.19,4.85
-tf_efficientnetv2_b1,4510.37,227.021,1024,240,1.21,7.34,8.14
-xcit_nano_12_p16_224_dist,4493.11,227.892,1024,224,0.56,4.17,3.05
-xcit_nano_12_p16_224,4491.7,227.964,1024,224,0.56,4.17,3.05
-dla60x_c,4470.1,229.064,1024,224,0.59,6.01,1.32
-resmlp_12_distilled_224,4434.35,230.91,1024,224,3.01,5.5,15.35
-resmlp_12_224,4433.54,230.952,1024,224,3.01,5.5,15.35
-rexnet_130,4425.14,231.393,1024,224,0.68,9.71,7.56
-vit_base_patch32_224_sam,4321.54,236.941,1024,224,4.41,5.01,88.22
-vit_base_patch32_224,4307.66,237.703,1024,224,4.41,5.01,88.22
-resnet26,4298.32,238.219,1024,224,2.36,7.35,16.0
-mobilenetv2_120d,4284.71,238.978,1024,224,0.69,11.97,5.83
-tf_mixnet_s,4275.28,239.504,1024,224,0.25,6.25,4.13
-repvgg_b0,4225.0,242.355,1024,224,3.41,6.15,15.82
-mixer_b32_224,4147.03,246.913,1024,224,3.24,6.29,60.29
-selecsls60,4126.77,248.123,1024,224,3.59,5.52,30.67
-selecsls60b,4115.88,248.778,1024,224,3.63,5.52,32.77
-efficientnet_b0_g16_evos,3990.44,256.6,1024,224,1.01,7.42,8.11
-rexnetr_150,3952.56,259.06,1024,224,0.89,11.13,9.78
-efficientnet_lite1,3940.91,259.824,1024,240,0.62,10.14,5.42
-resnet26d,3924.1,260.939,1024,224,2.6,8.15,16.01
-dla34,3875.11,264.237,1024,224,3.07,5.02,15.74
-ecaresnet50d_pruned,3865.04,264.927,1024,224,2.53,6.43,19.94
-rexnet_150,3831.29,267.26,1024,224,0.9,11.21,9.73
-nf_resnet26,3793.55,269.919,1024,224,2.41,7.35,16.0
-mobilevit_xxs,3770.57,271.565,1024,256,0.42,8.34,1.27
-pit_xs_224,3681.14,278.161,1024,224,1.4,7.71,10.62
-tf_efficientnet_lite1,3664.91,279.395,1024,240,0.62,10.14,5.42
-pit_xs_distilled_224,3647.86,280.699,1024,224,1.41,7.76,11.0
-regnetx_016,3647.8,280.704,1024,224,1.62,7.93,9.19
-fbnetv3_d,3569.84,286.833,1024,256,0.68,11.1,10.31
-fbnetv3_b,3536.82,289.512,1024,256,0.55,9.1,8.6
-efficientnet_b2_pruned,3476.28,294.556,1024,260,0.73,9.13,8.31
-efficientnet_es_pruned,3448.68,296.913,1024,224,1.81,8.73,5.44
-efficientnet_es,3446.7,297.082,1024,224,1.81,8.73,5.44
-tf_efficientnetv2_b2,3438.51,297.791,1024,260,1.72,9.84,10.1
-efficientnet_cc_b0_4e,3425.03,298.962,1024,224,0.41,9.42,13.31
-efficientnet_cc_b0_8e,3412.18,300.089,1024,224,0.42,9.42,24.01
-poolformer_s12,3407.92,300.463,1024,224,1.82,5.53,11.92
-mixer_s16_224,3404.99,300.723,1024,224,3.79,5.97,18.53
-regnety_016,3352.08,305.469,1024,224,1.63,8.04,11.2
-tf_efficientnet_es,3332.57,307.258,1024,224,1.81,8.73,5.44
-nf_seresnet26,3311.28,309.234,1024,224,2.41,7.36,17.4
-repvgg_a2,3302.08,310.095,1024,224,5.7,6.26,28.21
-nf_ecaresnet26,3298.62,310.42,1024,224,2.41,7.36,16.0
-gernet_l,3272.91,312.859,1024,256,4.57,8.0,31.08
-vit_small_patch32_384,3271.28,313.014,1024,384,3.45,8.25,22.92
-tf_efficientnet_cc_b0_4e,3244.05,315.642,1024,224,0.41,9.42,13.31
-tf_efficientnet_cc_b0_8e,3240.14,316.023,1024,224,0.42,9.42,24.01
-mixnet_m,3205.49,319.438,1024,224,0.36,8.19,5.01
-resnest14d,3201.02,319.884,1024,224,2.76,7.33,10.61
-skresnet34,3189.73,321.016,1024,224,3.67,5.13,22.28
-xcit_tiny_12_p16_224_dist,3156.96,324.349,1024,224,1.24,6.29,6.72
-xcit_tiny_12_p16_224,3156.35,324.412,1024,224,1.24,6.29,6.72
-resnext26ts,3110.32,329.214,1024,256,2.43,10.52,10.3
-gmixer_12_224,3103.83,329.902,1024,224,2.67,7.26,12.7
-legacy_seresnext26_32x4d,3102.65,330.028,1024,224,2.49,9.39,16.79
-tf_mixnet_m,3073.07,333.204,1024,224,0.36,8.19,5.01
-resnet26t,3052.48,335.451,1024,256,3.35,10.52,16.01
-vit_tiny_r_s16_p8_384,3050.47,167.831,512,384,1.34,6.49,6.36
-tf_efficientnet_b1_ns,3049.35,335.796,1024,240,0.71,10.88,7.79
-tf_efficientnet_b1_ap,3043.26,336.469,1024,240,0.71,10.88,7.79
-tf_efficientnet_b1,3043.05,336.492,1024,240,0.71,10.88,7.79
-seresnext26ts,3036.78,337.182,1024,256,2.43,10.52,10.39
-eca_resnext26ts,3034.01,337.495,1024,256,2.43,10.52,10.3
-efficientnet_lite2,3032.0,337.716,1024,260,0.89,12.9,6.09
-nf_regnet_b1,3025.41,338.455,1024,288,1.02,9.2,10.22
-gcresnext26ts,2985.04,343.027,1024,256,2.43,10.53,10.48
-ecaresnet101d_pruned,2955.16,346.499,1024,224,3.48,7.69,24.88
-efficientnet_b1,2953.49,346.695,1024,256,0.77,12.22,7.79
-nf_regnet_b2,2921.49,350.493,1024,272,1.22,9.27,14.31
-seresnext26t_32x4d,2908.45,352.064,1024,224,2.7,10.09,16.81
-seresnext26tn_32x4d,2907.22,352.213,1024,224,2.7,10.09,16.81
-ecaresnext50t_32x4d,2903.25,352.694,1024,224,2.7,10.09,15.41
-ecaresnext26t_32x4d,2897.07,353.448,1024,224,2.7,10.09,15.41
-seresnext26d_32x4d,2889.43,354.382,1024,224,2.73,10.19,16.81
-ecaresnetlight,2885.43,354.874,1024,224,4.11,8.42,30.16
-convnext_nano_hnf,2883.27,355.139,1024,224,2.45,8.37,15.59
-crossvit_tiny_240,2879.48,355.606,1024,240,1.57,9.08,7.01
-tf_efficientnet_lite2,2824.56,362.522,1024,260,0.89,12.9,6.09
-crossvit_9_240,2817.15,363.474,1024,240,1.85,9.52,8.55
-rexnetr_200,2812.94,182.004,512,224,1.59,15.11,16.52
-resnetv2_50,2787.72,367.312,1024,224,4.11,11.11,25.55
-tresnet_m,2773.53,369.19,1024,224,5.74,7.31,31.39
-rexnet_200,2765.2,185.146,512,224,1.56,14.91,16.37
-eca_botnext26ts_256,2754.13,371.793,1024,256,2.46,11.6,10.59
-efficientnet_b3_pruned,2735.66,374.303,1024,300,1.04,11.86,9.86
-botnet26t_256,2735.31,374.35,1024,256,3.32,11.98,12.49
-crossvit_9_dagger_240,2731.57,374.862,1024,240,1.99,9.97,8.78
-eca_halonext26ts,2696.48,379.742,1024,256,2.44,11.46,10.76
-resnet50,2695.53,379.874,1024,224,4.11,11.11,25.56
-tv_resnet50,2695.5,379.879,1024,224,4.11,11.11,25.56
-halonet26t,2694.88,379.966,1024,256,3.19,11.69,12.48
-swsl_resnet50,2694.7,379.993,1024,224,4.11,11.11,25.56
-gluon_resnet50_v1b,2693.21,380.199,1024,224,4.11,11.11,25.56
-ssl_resnet50,2691.71,380.414,1024,224,4.11,11.11,25.56
-convit_tiny,2683.21,381.617,1024,224,1.26,7.94,5.71
-hrnet_w18_small_v2,2645.65,387.038,1024,224,2.62,9.65,15.6
-resnetv2_50d,2626.53,389.852,1024,224,4.35,11.92,25.57
-resnetv2_50t,2624.52,390.152,1024,224,4.32,11.82,25.57
-vovnet39a,2619.13,390.954,1024,224,7.09,6.73,22.6
-vit_small_resnet26d_224,2608.49,392.55,1024,224,5.07,11.12,63.61
-vit_base2_patch32_256,2600.96,393.689,1024,256,7.79,7.76,119.46
-resnet32ts,2596.05,394.433,1024,256,4.63,11.58,17.96
-bat_resnext26ts,2595.92,394.45,1024,256,2.53,12.51,10.73
-cspresnet50,2575.36,397.599,1024,256,4.54,11.5,21.62
-resnet33ts,2567.21,398.865,1024,256,4.76,11.66,19.68
-dpn68b,2553.11,401.065,1024,224,2.35,10.47,12.61
-gluon_resnet50_v1c,2551.88,401.26,1024,224,4.35,11.92,25.58
-ese_vovnet39b,2548.89,401.728,1024,224,7.09,6.74,24.57
-eca_vovnet39b,2541.8,402.85,1024,224,7.09,6.74,22.6
-cspresnext50,2540.21,403.103,1024,224,3.1,12.14,20.57
-gmlp_ti16_224,2538.75,403.335,1024,224,1.34,7.55,5.87
-resnet50t,2537.39,403.552,1024,224,4.32,11.82,25.57
-legacy_seresnet50,2533.72,404.136,1024,224,3.88,10.6,28.09
-gluon_resnet50_v1d,2530.95,404.578,1024,224,4.35,11.92,25.58
-resnet50d,2529.63,404.786,1024,224,4.35,11.92,25.58
-dpn68,2517.34,406.764,1024,224,2.35,10.47,12.61
-vgg11_bn,2508.2,204.119,512,224,7.62,7.44,132.87
-selecsls84,2496.95,410.085,1024,224,5.9,7.57,50.95
-seresnet33ts,2496.28,410.197,1024,256,4.76,11.66,19.78
-eca_resnet33ts,2490.37,411.17,1024,256,4.76,11.66,19.68
-efficientnet_b0_gn,2478.81,413.089,1024,224,0.42,6.75,5.29
-gcresnet33ts,2444.46,418.89,1024,256,4.76,11.68,19.88
-deit_small_patch16_224,2440.46,419.58,1024,224,4.61,11.95,22.05
-vit_small_patch16_224,2439.92,419.672,1024,224,4.61,11.95,22.05
-pit_s_224,2435.64,420.407,1024,224,2.88,11.56,23.46
-mixnet_l,2434.72,210.28,512,224,0.58,10.84,7.33
-lambda_resnet26t,2428.26,421.688,1024,256,3.02,11.87,10.96
-cspresnet50w,2424.86,422.28,1024,256,5.04,12.19,28.12
-pit_s_distilled_224,2412.77,424.396,1024,224,2.9,11.64,24.04
-cspresnet50d,2411.73,424.578,1024,256,4.86,12.55,21.64
-seresnet50,2411.59,424.604,1024,224,4.11,11.13,28.09
-deit_small_distilled_patch16_224,2408.06,425.226,1024,224,4.63,12.02,22.44
-mobilevit_xs,2390.72,214.149,512,256,1.05,16.33,2.32
-dla60,2381.05,430.049,1024,224,4.26,10.16,22.04
-tf_efficientnet_b2,2362.66,433.397,1024,260,1.02,13.83,9.11
-tf_efficientnet_b2_ns,2360.61,433.773,1024,260,1.02,13.83,9.11
-tf_efficientnet_b2_ap,2357.47,434.351,1024,260,1.02,13.83,9.11
-densenet121,2354.51,434.897,1024,224,2.87,6.9,7.98
-tv_densenet121,2349.07,435.903,1024,224,2.87,6.9,7.98
-tf_mixnet_l,2339.37,218.851,512,224,0.58,10.84,7.33
-resnest26d,2327.85,439.878,1024,224,3.64,9.97,17.07
-resnetaa50d,2303.21,444.583,1024,224,5.39,12.44,25.58
-seresnet50t,2290.22,447.107,1024,224,4.32,11.83,28.1
-res2net50_48w_2s,2276.16,449.868,1024,224,4.18,11.72,25.29
-resnetblur50,2275.68,449.961,1024,224,5.16,12.02,25.56
-ecaresnet50d,2271.69,450.753,1024,224,4.35,11.93,25.58
-haloregnetz_b,2267.5,451.584,1024,224,1.97,11.94,11.68
-resmlp_24_224,2261.81,452.72,1024,224,5.96,10.91,30.02
-resmlp_24_distilled_224,2260.86,452.909,1024,224,5.96,10.91,30.02
-densenet121d,2250.37,455.023,1024,224,3.11,7.7,8.0
-resnetrs50,2250.35,455.026,1024,224,4.48,12.14,35.69
-efficientnet_b0_g8_gn,2225.86,460.033,1024,224,0.66,6.75,6.56
-regnetx_032,2206.94,463.978,1024,224,3.2,11.37,15.3
-efficientnet_b2,2203.49,464.703,1024,288,1.12,16.2,9.11
-efficientnet_b2a,2199.86,465.471,1024,288,1.12,16.2,9.11
-gluon_resnet50_v1s,2199.02,465.65,1024,224,5.47,13.52,25.68
-visformer_small,2180.09,469.693,1024,224,4.88,11.43,40.22
-adv_inception_v3,2153.56,475.475,1024,299,5.73,8.97,23.83
-tf_inception_v3,2151.76,475.872,1024,299,5.73,8.97,23.83
-inception_v3,2150.38,476.182,1024,299,5.73,8.97,23.83
-resnetblur50d,2147.4,476.842,1024,224,5.4,12.82,25.58
-gluon_inception_v3,2143.59,477.682,1024,299,5.73,8.97,23.83
-vovnet57a,2143.19,477.778,1024,224,8.95,7.52,36.64
-efficientnet_cc_b1_8e,2141.85,478.078,1024,240,0.75,15.44,39.72
-densenetblur121d,2137.06,479.149,1024,224,3.11,7.9,8.0
-cspresnext50_iabn,2134.77,479.664,1024,256,4.02,15.86,20.57
-efficientnet_em,2126.8,481.463,1024,240,3.04,14.34,6.9
-vit_base_resnet26d_224,2112.13,484.804,1024,224,6.97,13.16,101.4
-cspdarknet53_iabn,2094.24,488.947,1024,256,6.53,16.81,27.64
-seresnetaa50d,2085.24,491.057,1024,224,5.4,12.46,28.11
-ese_vovnet57b,2083.49,491.467,1024,224,8.95,7.52,38.61
-ssl_resnext50_32x4d,2081.05,492.045,1024,224,4.26,14.4,25.03
-swsl_resnext50_32x4d,2080.34,492.214,1024,224,4.26,14.4,25.03
-gluon_resnext50_32x4d,2080.29,492.225,1024,224,4.26,14.4,25.03
-tv_resnext50_32x4d,2079.74,492.355,1024,224,4.26,14.4,25.03
-resnext50_32x4d,2076.82,493.048,1024,224,4.26,14.4,25.03
-tf_efficientnet_em,2070.88,494.462,1024,240,3.04,14.34,6.9
-tf_efficientnet_cc_b1_8e,2062.84,496.39,1024,240,0.75,15.44,39.72
-res2net50_26w_4s,2042.43,501.35,1024,224,4.28,12.61,25.7
-tf_efficientnetv2_b3,2017.91,507.444,1024,300,3.04,15.74,14.36
-skresnet50,2017.85,507.457,1024,224,4.11,12.5,25.8
-nf_seresnet50,2013.68,508.507,1024,224,4.21,11.13,28.09
-regnetx_040,2006.2,510.404,1024,224,3.99,12.2,22.12
-nf_ecaresnet50,2003.47,511.102,1024,224,4.21,11.13,25.56
-efficientnetv2_rw_t,2000.48,511.861,1024,288,3.19,16.42,13.65
-gcresnet50t,1986.86,515.369,1024,256,5.42,14.67,25.9
-dla60x,1985.6,515.699,1024,224,3.54,13.8,17.35
-resnext50d_32x4d,1981.96,516.647,1024,224,4.5,15.2,25.05
-gc_efficientnetv2_rw_t,1932.03,529.997,1024,288,3.2,16.45,13.68
-convnext_tiny_hnf,1928.02,531.1,1024,224,4.47,13.44,28.59
-res2net50_14w_8s,1927.65,531.204,1024,224,4.21,13.28,25.06
-sehalonet33ts,1927.17,265.662,512,256,3.55,14.7,13.69
-skresnet50d,1925.97,531.666,1024,224,4.36,13.31,25.82
-densenet169,1921.61,532.872,1024,224,3.4,7.3,14.15
-gcresnext50ts,1919.22,533.536,1024,256,3.75,15.46,15.67
-dla60_res2net,1910.95,535.844,1024,224,4.15,12.34,20.85
-seresnext50_32x4d,1907.77,536.737,1024,224,4.26,14.42,27.56
-res2next50,1905.88,537.271,1024,224,4.2,13.71,24.67
-gluon_seresnext50_32x4d,1905.67,537.33,1024,224,4.26,14.42,27.56
-legacy_seresnext50_32x4d,1903.73,537.877,1024,224,4.26,14.42,27.56
-lambda_resnet26rpt_256,1903.17,269.013,512,256,3.16,11.87,10.99
-mobilevit_s,1899.79,269.492,512,256,2.03,19.94,5.58
-repvgg_b1g4,1890.54,541.63,1024,224,8.15,10.64,39.97
-resnest50d_1s4x24d,1888.24,542.29,1024,224,4.43,13.57,25.68
-darknet53,1853.82,276.175,512,256,9.31,12.39,41.61
-coat_lite_tiny,1848.83,553.849,1024,224,1.6,11.65,5.72
-nf_regnet_b3,1839.82,556.565,1024,320,2.05,14.61,18.59
-dla60_res2next,1833.06,558.612,1024,224,3.49,13.17,17.03
-cspdarknet53,1812.82,282.421,512,256,6.57,16.81,27.64
-semobilevit_s,1803.13,283.938,512,256,2.03,19.95,5.74
-efficientnet_lite3,1799.71,284.476,512,300,1.65,21.85,8.2
-regnetz_b16,1794.65,570.57,1024,288,2.39,16.43,9.72
-ecaresnet26t,1785.57,573.473,1024,320,5.24,16.44,16.01
-coat_lite_mini,1766.02,579.817,1024,224,2.0,12.25,11.01
-poolformer_s24,1765.88,579.868,1024,224,3.41,10.68,21.39
-mixnet_xl,1734.71,295.138,512,224,0.93,14.57,11.9
-vit_small_r26_s32_224,1732.3,591.11,1024,224,3.56,9.85,36.43
-resnetv2_101,1697.95,603.065,1024,224,7.83,16.23,44.54
-xcit_tiny_24_p16_224_dist,1687.36,606.851,1024,224,2.34,11.82,12.12
-xcit_tiny_24_p16_224,1682.06,608.762,1024,224,2.34,11.82,12.12
-tf_efficientnet_lite3,1679.33,304.873,512,300,1.65,21.85,8.2
-repvgg_b1,1666.24,614.545,1024,224,13.16,10.64,57.42
-sebotnet33ts_256,1660.84,231.195,384,256,3.89,17.46,13.7
-tv_resnet101,1659.62,616.997,1024,224,7.83,16.23,44.55
-gluon_resnet101_v1b,1659.37,617.087,1024,224,7.83,16.23,44.55
-convnext_tiny,1658.71,617.331,1024,224,4.47,13.44,28.59
-resnet101,1655.84,618.405,1024,224,7.83,16.23,44.55
-xcit_small_12_p16_224_dist,1652.32,619.718,1024,224,4.82,12.58,26.25
-xcit_small_12_p16_224,1648.97,620.98,1024,224,4.82,12.58,26.25
-resnetv2_101d,1631.54,627.614,1024,224,8.07,17.04,44.56
-vit_base_resnet50d_224,1631.31,627.703,1024,224,8.73,16.92,110.97
-lambda_resnet50ts,1601.2,639.507,1024,256,5.07,17.48,21.54
-gluon_resnet101_v1c,1600.5,639.785,1024,224,8.08,17.04,44.57
-gluon_resnet101_v1d,1596.44,641.412,1024,224,8.08,17.04,44.57
-dla102,1582.26,647.16,1024,224,7.19,14.18,33.27
-gmixer_24_224,1582.16,647.204,1024,224,5.28,14.45,24.72
-wide_resnet50_2,1579.37,648.345,1024,224,11.43,14.4,68.88
-twins_svt_small,1577.35,649.176,1024,224,2.94,13.75,24.06
-resnest50d,1570.05,652.193,1024,224,5.4,14.36,27.48
-res2net50_26w_6s,1562.92,655.169,1024,224,6.33,15.28,37.05
-regnetx_080,1553.61,659.095,1024,224,8.02,14.06,39.57
-crossvit_small_240,1546.63,662.07,1024,240,5.63,18.17,26.86
-xcit_nano_12_p16_384_dist,1543.06,663.599,1024,384,1.64,12.15,3.05
-resnetv2_50x1_bit_distilled,1541.41,664.315,1024,224,4.23,11.11,25.55
-legacy_seresnet101,1534.0,667.522,1024,224,7.61,15.74,49.33
-resmlp_36_224,1516.69,675.14,1024,224,8.91,16.33,44.69
-resmlp_36_distilled_224,1515.97,675.455,1024,224,8.91,16.33,44.69
-halonet50ts,1506.38,679.762,1024,256,5.3,19.2,22.73
-resnetaa101d,1500.11,682.602,1024,224,9.12,17.56,44.57
-vgg13_bn,1493.45,342.818,512,224,11.33,12.25,133.05
-densenet201,1492.3,686.177,1024,224,4.34,7.85,20.01
-seresnet101,1488.58,687.891,1024,224,7.84,16.27,49.33
-vit_large_patch32_224,1480.53,691.629,1024,224,15.39,13.3,306.54
-fbnetv3_g,1476.24,693.641,1024,288,1.77,21.09,16.62
-ese_vovnet39b_evos,1470.17,696.502,1024,224,7.07,6.74,24.58
-convnext_tiny_hnfd,1463.28,699.785,1024,224,4.78,14.64,28.63
-gluon_resnet101_v1s,1458.5,702.078,1024,224,9.19,18.64,44.67
-regnetx_064,1451.61,352.7,512,224,6.49,16.37,26.21
-nf_resnet101,1444.19,709.036,1024,224,8.01,16.23,44.55
-lamhalobotnet50ts_256,1432.71,714.715,1024,256,5.02,18.44,22.57
-resnetblur101d,1431.35,715.392,1024,224,9.12,17.94,44.57
-ecaresnet101d,1429.1,716.517,1024,224,8.08,17.07,44.57
-nf_resnet50,1421.81,720.193,1024,288,6.88,18.37,25.56
-hrnet_w18,1420.84,720.684,1024,224,4.32,16.31,21.3
-vit_base_r26_s32_224,1419.32,721.457,1024,224,6.81,12.36,101.38
-crossvit_15_240,1416.83,722.727,1024,240,5.81,19.77,27.53
-tresnet_l,1403.47,729.603,1024,224,10.88,11.9,55.99
-gmlp_s16_224,1393.69,734.725,1024,224,4.42,15.1,19.42
-resnetv2_50d_frn,1389.08,737.162,1024,224,4.33,11.92,25.59
-regnety_032,1387.11,738.212,1024,288,5.29,18.61,19.44
-tf_efficientnet_b3_ap,1384.27,369.858,512,300,1.87,23.83,12.23
-tf_efficientnet_b3,1382.58,370.309,512,300,1.87,23.83,12.23
-tf_efficientnet_b3_ns,1381.54,370.587,512,300,1.87,23.83,12.23
-mixer_l32_224,1377.05,743.605,1024,224,11.27,19.86,206.94
-vit_base_patch32_384,1375.53,744.425,1024,384,13.06,16.5,88.3
-crossvit_15_dagger_240,1372.46,746.094,1024,240,6.13,20.43,28.21
-resnet51q,1370.65,747.074,1024,288,8.07,20.94,35.7
-resnet50_gn,1358.57,753.722,1024,224,4.14,11.11,25.56
-cait_xxs24_224,1351.39,757.722,1024,224,2.53,20.29,11.96
-efficientnet_b3,1344.22,380.877,512,320,2.01,26.52,12.23
-efficientnet_b3a,1343.43,381.1,512,320,2.01,26.52,12.23
-xception,1343.1,381.193,512,299,8.4,35.83,22.86
-dla102x,1336.12,766.382,1024,224,5.89,19.42,26.31
-mixer_b16_224,1331.47,769.062,1024,224,12.62,14.53,59.88
-mixer_b16_224_miil,1329.31,770.309,1024,224,12.62,14.53,59.88
-skresnext50_32x4d,1318.82,776.433,1024,224,4.5,17.18,27.48
-botnet50ts_256,1318.29,388.369,512,256,5.54,22.23,22.74
-swsl_resnext101_32x4d,1313.68,779.478,1024,224,8.01,21.23,44.18
-gluon_resnext101_32x4d,1313.37,779.659,1024,224,8.01,21.23,44.18
-resnext101_32x4d,1312.5,780.172,1024,224,8.01,21.23,44.18
-ssl_resnext101_32x4d,1311.93,780.515,1024,224,8.01,21.23,44.18
-resnetv2_50d_evob,1302.41,786.222,1024,224,4.33,11.92,25.59
-repvgg_b2g4,1294.35,791.118,1024,224,12.63,12.9,61.76
-swin_tiny_patch4_window7_224,1284.93,796.915,1024,224,4.51,17.06,28.29
-res2net50_26w_8s,1282.33,798.529,1024,224,8.37,17.95,48.4
-res2net101_26w_4s,1280.42,799.726,1024,224,8.1,18.45,45.21
-halo2botnet50ts_256,1278.73,400.387,512,256,5.02,21.78,22.64
-twins_pcpvt_small,1266.87,808.275,1024,224,3.83,18.08,24.11
-resnest50d_4s2x40d,1247.1,821.089,1024,224,4.4,17.94,30.42
-nf_seresnet101,1245.83,821.925,1024,224,8.02,16.27,49.33
-resnet61q,1239.28,826.269,1024,288,9.87,21.52,36.85
-vgg16_bn,1239.15,413.174,512,224,15.5,13.56,138.37
-nf_ecaresnet101,1239.13,826.374,1024,224,8.01,16.27,44.55
-eca_nfnet_l0,1229.58,832.793,1024,288,7.12,17.29,24.14
-hrnet_w32,1229.04,833.146,1024,224,8.97,22.02,41.23
-xception41p,1223.32,418.518,512,299,9.25,39.86,26.91
-nfnet_l0,1223.17,837.152,1024,288,7.13,17.29,35.07
-ese_vovnet99b_iabn,1219.1,839.947,1024,224,16.49,11.27,63.2
-convit_small,1215.88,842.173,1024,224,5.76,17.87,27.78
-hrnet_w30,1211.94,844.908,1024,224,8.15,21.21,37.71
-regnety_040,1211.74,422.521,512,288,6.61,20.3,20.65
-regnetv_040,1210.32,423.017,512,288,6.6,20.3,20.64
-vit_tiny_patch16_384,1209.55,846.58,1024,384,4.7,25.39,5.79
-dpn92,1207.37,848.107,1024,224,6.54,18.21,37.67
-seresnext101_32x4d,1202.94,851.233,1024,224,8.02,21.26,48.96
-gluon_seresnext101_32x4d,1201.66,852.139,1024,224,8.02,21.26,48.96
-legacy_seresnext101_32x4d,1201.03,852.591,1024,224,8.02,21.26,48.96
-swin_s3_tiny_224,1197.86,854.845,1024,224,4.64,19.13,28.33
-poolformer_s36,1192.85,858.435,1024,224,5.0,15.82,30.86
-ese_vovnet99b,1182.33,866.068,1024,224,16.51,11.27,63.2
-resnetv2_152,1176.91,870.059,1024,224,11.55,22.56,60.19
-xcit_nano_12_p8_224_dist,1168.85,876.058,1024,224,2.16,15.71,3.05
-xcit_nano_12_p8_224,1164.34,879.454,1024,224,2.16,15.71,3.05
-gluon_resnet152_v1b,1158.23,884.096,1024,224,11.56,22.56,60.19
-tv_resnet152,1157.57,884.6,1024,224,11.56,22.56,60.19
-resnet152,1156.18,885.659,1024,224,11.56,22.56,60.19
-resnetv2_152d,1145.88,893.624,1024,224,11.8,23.36,60.2
-regnetz_c16,1139.93,449.135,512,320,3.92,25.88,13.46
-ecaresnet50t,1137.76,900.002,1024,320,8.82,24.13,25.57
-repvgg_b2,1135.04,902.153,1024,224,20.45,12.9,89.02
-gluon_resnet152_v1c,1127.87,907.895,1024,224,11.8,23.36,60.21
-gluon_resnet152_v1d,1126.2,909.24,1024,224,11.8,23.36,60.21
-inception_v4,1102.19,929.046,1024,299,12.28,15.09,42.68
-regnety_040s_gn,1097.43,933.073,1024,224,4.03,12.29,20.65
-swin_v2_cr_tiny_224,1095.67,934.572,1024,224,4.66,30.64,28.33
-convnext_small,1094.72,935.388,1024,224,8.7,21.56,50.22
-xception41,1088.12,470.521,512,299,9.28,39.86,26.97
-convmixer_1024_20_ks9_p14,1086.94,942.076,1024,224,5.55,5.51,24.38
-vit_small_resnet50d_s16_224,1086.45,942.502,1024,224,13.48,24.82,57.53
-xcit_tiny_12_p16_384_dist,1082.39,946.043,1024,384,3.64,18.26,6.72
-densenet161,1080.13,948.016,1024,224,7.79,11.06,28.68
-mixnet_xxl,1077.24,356.453,384,224,2.04,23.43,23.96
-dla169,1074.25,953.209,1024,224,11.6,20.2,53.39
-nfnet_f0,1065.5,961.034,1024,256,12.62,18.05,71.49
-legacy_seresnet152,1057.8,968.029,1024,224,11.33,22.08,66.82
-gluon_resnet152_v1s,1056.41,969.306,1024,224,12.92,24.96,60.32
-vgg19_bn,1055.4,485.111,512,224,19.66,14.86,143.68
-regnetx_120,1050.75,487.26,512,224,12.13,21.37,46.11
-nest_tiny,1050.35,487.443,512,224,5.83,25.48,17.06
-coat_lite_small,1048.4,976.705,1024,224,3.96,22.09,19.84
-vit_base_patch16_224_miil,1045.49,979.427,1024,224,17.58,23.9,86.54
-crossvit_18_240,1039.49,985.088,1024,240,9.05,26.26,43.27
-swin_v2_cr_tiny_ns_224,1039.03,985.521,1024,224,4.66,30.64,28.33
-tresnet_xl,1037.95,986.545,1024,224,15.17,15.34,78.44
-jx_nest_tiny,1035.86,494.265,512,224,5.83,25.48,17.06
-seresnet152,1034.7,989.644,1024,224,11.57,22.61,66.82
-deit_base_patch16_224,1019.44,1004.455,1024,224,17.58,23.9,86.57
-vit_base_patch16_224_sam,1015.42,1008.432,1024,224,17.58,23.9,86.57
-vit_base_patch16_224,1014.98,1008.871,1024,224,17.58,23.9,86.57
-crossvit_18_dagger_240,1009.97,1013.877,1024,240,9.5,27.03,44.27
-deit_base_distilled_patch16_224,1007.07,1016.791,1024,224,17.68,24.05,87.34
-regnety_120,1005.22,509.326,512,224,12.14,21.38,51.82
-repvgg_b3g4,1002.6,1021.328,1024,224,17.89,15.1,83.83
-volo_d1_224,967.03,1058.901,1024,224,6.94,24.43,26.63
-efficientnet_el_pruned,948.42,539.83,512,300,8.0,30.7,10.59
-efficientnet_el,942.13,543.435,512,300,8.0,30.7,10.59
-dm_nfnet_f0,931.91,1098.8,1024,256,12.62,18.05,71.49
-twins_pcpvt_base,930.89,1100.003,1024,224,6.68,25.25,43.83
-beit_base_patch16_224,930.84,1100.061,1024,224,17.58,23.9,86.53
-tf_efficientnet_el,925.74,553.06,512,300,8.0,30.7,10.59
-wide_resnet101_2,916.19,1117.657,1024,224,22.8,21.23,126.89
-twins_svt_base,914.55,1119.66,1024,224,8.59,26.33,56.07
-dla102x2,911.45,561.725,512,224,9.34,29.91,41.28
-cait_xxs36_224,908.72,1126.845,1024,224,3.77,30.34,17.3
-efficientnetv2_s,907.0,1128.974,1024,384,8.44,35.77,21.46
-resnetv2_50d_gn,896.28,1142.488,1024,288,7.24,19.7,25.57
-xception65p,889.27,575.737,512,299,13.91,52.48,39.82
-repvgg_b3,888.16,1152.929,1024,224,29.16,15.1,123.09
-tf_efficientnetv2_s_in21ft1k,886.83,1154.656,1024,384,8.44,35.77,21.46
-tf_efficientnetv2_s,886.38,1155.25,1024,384,8.44,35.77,21.46
-xcit_small_24_p16_224_dist,880.14,1163.431,1024,224,9.1,23.64,47.67
-xcit_small_24_p16_224,879.96,1163.673,1024,224,9.1,23.64,47.67
-resnetrs101,879.92,1163.729,1024,288,13.56,28.53,63.62
-efficientnetv2_rw_s,866.42,1181.861,1024,384,8.72,38.03,23.94
-dpn98,864.11,1185.015,1024,224,11.73,25.2,61.57
-pit_b_224,862.79,593.411,512,224,12.42,32.94,73.76
-ens_adv_inception_resnet_v2,856.99,1194.864,1024,299,13.18,25.06,55.84
-inception_resnet_v2,856.96,1194.905,1024,299,13.18,25.06,55.84
-pit_b_distilled_224,854.69,599.032,512,224,12.5,33.07,74.79
-nf_regnet_b4,850.27,1204.313,1024,384,4.7,28.61,30.21
-regnetx_160,849.7,602.551,512,224,15.99,25.52,54.28
-regnetz_d8,849.19,1205.844,1024,320,6.19,37.08,23.37
-swin_small_patch4_window7_224,843.01,1214.681,1024,224,8.77,27.47,49.61
-gluon_resnext101_64x4d,836.35,1224.352,1024,224,15.52,31.21,83.46
-resnet200,830.77,1232.576,1024,224,15.07,32.19,64.67
-regnetz_040,828.17,463.661,384,320,6.35,37.78,27.12
-regnetz_040h,823.76,466.142,384,320,6.43,37.94,28.94
-efficientnet_lite4,822.06,467.103,384,380,4.04,45.66,13.01
-hrnet_w40,819.73,1249.18,1024,224,12.75,25.29,57.56
-convnext_base,817.5,1252.582,1024,224,15.38,28.75,88.59
-xcit_tiny_12_p8_224,817.02,1253.32,1024,224,4.81,23.6,6.71
-convnext_base_in22ft1k,816.83,1253.608,1024,224,15.38,28.75,88.59
-xcit_tiny_12_p8_224_dist,816.44,1254.214,1024,224,4.81,23.6,6.71
-convnext_small_in22ft1k,815.72,1255.315,1024,224,15.38,28.75,88.59
-convnext_tiny_in22ft1k,814.36,1257.407,1024,224,15.38,28.75,88.59
-regnetz_b16_evos,811.63,630.813,512,288,2.36,16.43,9.74
-swsl_resnext101_32x8d,805.58,1271.112,1024,224,16.48,31.21,88.79
-regnety_064,804.87,636.11,512,288,10.56,27.11,30.58
-ssl_resnext101_32x8d,804.25,1273.227,1024,224,16.48,31.21,88.79
-ig_resnext101_32x8d,804.24,1273.235,1024,224,16.48,31.21,88.79
-resnext101_32x8d,804.11,1273.443,1024,224,16.48,31.21,88.79
-regnetv_064,800.78,639.366,512,288,10.55,27.11,30.58
-gluon_xception65,800.14,639.877,512,299,13.96,52.48,39.92
-poolformer_m36,799.89,1280.164,1024,224,8.8,22.02,56.17
-resnet101d,798.53,1282.345,1024,320,16.48,34.77,44.57
-xception65,794.53,644.391,512,299,13.96,52.48,39.92
-gluon_seresnext101_64x4d,789.66,1296.749,1024,224,15.53,31.25,88.23
-vit_small_patch16_36x1_224,784.3,1305.61,1024,224,13.71,35.69,64.67
-resnest101e,783.74,653.265,512,256,13.38,28.66,48.28
-tf_efficientnet_lite4,778.05,493.528,384,380,4.04,45.66,13.01
-vit_small_patch16_18x2_224,770.15,1329.591,1024,224,13.71,35.69,64.67
-regnety_080,769.02,665.77,512,288,13.22,29.69,39.18
-resnetv2_50d_evos,763.22,670.828,512,288,7.15,19.7,25.59
-hrnet_w44,761.56,1344.592,1024,224,14.94,26.92,67.06
-cait_s24_224,750.62,1364.194,1024,224,9.35,40.58,46.92
-tresnet_m_448,731.85,1399.173,1024,448,22.94,29.21,31.39
-hrnet_w48,731.58,1399.696,1024,224,17.34,28.56,77.47
-coat_tiny,725.92,1410.611,1024,224,4.35,27.2,5.5
-regnetz_d32,725.1,1412.192,1024,320,9.33,37.08,27.58
-swin_v2_cr_small_224,711.79,1438.61,1024,224,9.08,53.85,49.7
-nest_small,704.65,726.593,512,224,10.35,40.04,38.35
-vit_large_r50_s32_224,704.05,1454.417,1024,224,19.58,24.41,328.99
-jx_nest_small,698.33,733.168,512,224,10.35,40.04,38.35
-twins_svt_large,697.37,1468.361,1024,224,15.15,35.1,99.27
-crossvit_base_240,692.97,738.833,512,240,21.22,36.33,105.03
-efficientnet_b4,680.87,563.972,384,384,4.51,50.04,19.34
-twins_pcpvt_large,679.24,1507.549,1024,224,9.84,35.82,60.99
-gmlp_b16_224,668.45,1531.889,1024,224,15.78,30.21,73.08
-swin_s3_small_224,655.58,780.974,512,224,9.43,37.84,49.74
-tf_efficientnet_b4,650.11,590.654,384,380,4.49,49.49,19.34
-tf_efficientnet_b4_ns,650.01,590.745,384,380,4.49,49.49,19.34
-tf_efficientnet_b4_ap,649.91,590.836,384,380,4.49,49.49,19.34
-densenet264d_iabn,648.39,1579.29,1024,224,13.47,14.0,72.74
-xcit_medium_24_p16_224,643.54,1591.196,1024,224,16.13,31.71,84.4
-xcit_medium_24_p16_224_dist,643.46,1591.39,1024,224,16.13,31.71,84.4
-convit_base,640.59,1598.504,1024,224,17.52,31.77,86.54
-swin_base_patch4_window7_224,637.77,1605.59,1024,224,15.47,36.63,87.77
-dpn131,636.07,1609.871,1024,224,16.09,32.97,79.25
-densenet264,630.43,1624.264,1024,224,12.95,12.8,72.69
-vit_small_patch16_384,609.69,839.76,512,384,15.52,50.78,22.2
-coat_mini,609.64,1679.655,1024,224,6.82,33.68,10.34
-poolformer_m48,602.84,1698.613,1024,224,11.59,29.17,73.47
-xception71,601.65,850.98,512,299,18.09,69.92,42.34
-hrnet_w64,601.51,1702.355,1024,224,28.97,35.09,128.06
-efficientnet_b3_gn,590.02,433.867,256,320,2.14,28.83,11.73
-vit_small_r26_s32_384,588.06,652.978,384,384,10.43,29.85,36.47
-senet154,584.6,1751.617,1024,224,20.77,38.69,115.09
-gluon_senet154,583.36,1755.334,1024,224,20.77,38.69,115.09
-legacy_senet154,583.3,1755.507,1024,224,20.77,38.69,115.09
-dpn107,579.63,1766.612,1024,224,18.38,33.46,86.92
-xcit_tiny_24_p16_384_dist,575.62,1778.929,1024,384,6.87,34.29,12.12
-eca_nfnet_l1,574.09,1783.68,1024,320,14.92,34.42,41.41
-vit_base_r50_s16_224,571.98,1790.263,1024,224,21.66,35.29,98.66
-seresnet200d,564.7,1813.347,1024,256,20.01,43.15,71.86
-resnet152d,563.14,1818.348,1024,320,24.08,47.67,60.21
-ecaresnet200d,561.62,1823.283,1024,256,20.0,43.15,64.69
-xcit_small_12_p16_384_dist,554.2,1847.68,1024,384,14.14,36.51,26.25
-volo_d2_224,554.02,1848.29,1024,224,14.34,41.34,58.68
-swin_v2_cr_base_224,537.55,1904.924,1024,224,15.86,64.42,87.88
-regnety_320,535.71,955.723,512,224,32.34,30.26,145.05
-swin_s3_base_224,533.55,1919.195,1024,224,13.69,48.26,71.13
-nest_base,529.87,966.265,512,224,17.96,53.39,67.72
-jx_nest_base,524.97,975.286,512,224,17.96,53.39,67.72
-regnety_160,524.88,731.579,384,288,26.37,38.07,83.59
-regnetz_c16_evos,513.17,997.712,512,320,3.86,25.88,13.49
-efficientnet_b3_g8_gn,512.15,499.838,256,320,3.2,28.83,14.25
-resnext101_64x4d,508.2,1007.467,512,288,25.66,51.59,83.46
-tnt_s_patch16_224,505.05,2027.493,1024,224,5.24,24.37,23.76
-seresnet152d,504.9,2028.105,1024,320,24.09,47.72,66.84
-resnetrs152,501.47,2041.965,1024,320,24.34,48.14,86.62
-convnext_large,487.74,1049.73,512,224,34.4,43.13,197.77
-convnext_large_in22ft1k,486.41,1052.606,512,224,34.4,43.13,197.77
-vit_large_patch32_384,473.23,2163.856,1024,384,45.31,43.86,306.63
-regnetx_320,469.34,818.147,384,224,31.81,36.3,107.81
-halonet_h1,463.9,551.835,256,256,3.0,51.17,8.1
-seresnext101_32x8d,462.9,1106.059,512,288,27.24,51.63,93.57
-regnetz_e8,453.82,1128.184,512,320,15.46,63.94,57.7
-mixer_l16_224,443.19,2310.528,1024,224,44.6,41.69,208.2
-seresnet269d,441.96,2316.951,1024,256,26.59,53.6,113.67
-efficientnetv2_m,441.46,2319.557,1024,416,18.6,67.5,54.14
-xcit_tiny_24_p8_224,429.28,2385.382,1024,224,9.21,45.39,12.11
-xcit_tiny_24_p8_224_dist,428.77,2388.186,1024,224,9.21,45.39,12.11
-xcit_small_12_p8_224,419.27,2442.349,1024,224,18.69,47.21,26.21
-xcit_small_12_p8_224_dist,419.19,2442.766,1024,224,18.69,47.21,26.21
-efficientnetv2_rw_m,406.5,1259.53,512,416,21.49,79.62,53.24
-resnet200d,405.44,2525.643,1024,320,31.25,67.33,64.69
-tnt_b_patch16_224,396.78,2580.753,1024,224,14.09,39.01,65.41
-swin_large_patch4_window7_224,395.25,1295.372,512,224,34.53,54.94,196.53
-resnetv2_50x1_bitm,393.49,975.875,384,448,16.62,44.46,25.55
-xcit_nano_12_p8_384_dist,392.55,2608.577,1024,384,6.34,46.08,3.05
-xcit_large_24_p16_224_dist,389.81,2626.888,1024,224,35.86,47.27,189.1
-xcit_large_24_p16_224,389.64,2628.072,1024,224,35.86,47.27,189.1
-volo_d3_224,388.78,2633.839,1024,224,20.78,60.09,86.33
-ig_resnext101_32x16d,374.93,1365.563,512,224,36.27,51.18,194.03
-swsl_resnext101_32x16d,374.73,1366.289,512,224,36.27,51.18,194.03
-ssl_resnext101_32x16d,374.63,1366.656,512,224,36.27,51.18,194.03
-tresnet_l_448,362.23,2826.92,1024,448,43.5,47.56,55.99
-resnetrs200,359.53,2848.13,1024,320,31.51,67.81,93.21
-regnetz_d8_evos,355.41,1440.558,512,320,7.03,38.92,23.46
-nfnet_f1,354.11,2891.708,1024,320,35.97,46.77,132.63
-tf_efficientnetv2_m,344.99,1484.089,512,480,24.76,89.84,54.14
-tf_efficientnetv2_m_in21ft1k,344.95,1484.253,512,480,24.76,89.84,54.14
-vit_large_patch16_224,341.74,2996.381,1024,224,61.6,63.52,304.33
-efficientnet_b5,336.97,759.686,256,456,10.46,98.86,30.39
-dm_nfnet_f1,336.55,1521.307,512,320,35.97,46.77,132.63
-swin_v2_cr_large_224,336.25,1522.658,512,224,35.1,85.57,196.68
-convnext_xlarge_in22ft1k,332.85,1538.204,512,224,60.97,57.5,350.2
-tf_efficientnet_b5_ap,325.28,786.993,256,456,10.46,98.86,30.39
-tf_efficientnet_b5_ns,325.25,787.076,256,456,10.46,98.86,30.39
-tf_efficientnet_b5,325.02,787.638,256,456,10.46,98.86,30.39
-vit_base_patch16_18x2_224,323.5,3165.374,1024,224,52.51,71.38,256.73
-crossvit_15_dagger_408,314.0,815.262,256,408,21.45,95.05,28.5
-beit_large_patch16_224,313.18,3269.663,1024,224,61.6,63.52,304.43
-xcit_small_24_p16_384_dist,294.97,3471.465,1024,384,26.72,68.58,47.67
-convmixer_768_32,290.4,3526.113,1024,224,19.55,25.95,21.11
-swin_v2_cr_tiny_384,285.22,897.553,256,384,15.36,179.92,28.33
-eca_nfnet_l2,282.5,1812.345,512,384,30.05,68.28,56.72
-convnext_small_384_in22ft1k,278.47,1378.958,384,384,45.2,84.49,88.59
-convnext_tiny_384_in22ft1k,277.61,1383.204,384,384,45.2,84.49,88.59
-resnetv2_152x2_bit_teacher,277.28,1846.482,512,224,46.95,45.11,236.34
-xcit_tiny_12_p8_384_dist,275.28,3719.775,1024,384,14.13,69.14,6.71
-convnext_base_384_in22ft1k,271.21,1415.851,384,384,45.2,84.49,88.59
-tresnet_xl_448,270.27,1894.405,512,448,60.65,61.31,78.44
-deit_base_patch16_384,266.0,1443.615,384,384,55.54,101.56,86.86
-vit_base_patch16_384,265.19,1448.027,384,384,55.54,101.56,86.86
-deit_base_distilled_patch16_384,262.93,1460.437,384,384,55.65,101.82,87.63
-resnest200e,262.48,1950.635,512,320,35.69,82.78,70.2
-volo_d1_384,260.38,1474.743,384,384,22.75,108.55,26.78
-volo_d4_224,257.94,3969.869,1024,224,44.34,80.22,192.96
-vit_large_patch14_224,251.28,4075.168,1024,224,81.08,88.79,304.2
-resnetv2_101x1_bitm,244.68,1569.394,384,448,31.65,64.93,44.54
-cait_xxs24_384,243.88,4198.837,1024,384,9.63,122.66,12.03
-crossvit_18_dagger_408,234.94,1089.639,256,408,32.47,124.87,44.61
-ecaresnet269d,234.24,4371.583,1024,352,50.25,101.25,102.09
-vit_large_r50_s32_384,234.0,1641.018,384,384,57.43,76.52,329.09
-pnasnet5large,228.91,1677.491,384,331,25.04,92.89,86.06
-resnetrs270,228.2,4487.36,1024,352,51.13,105.48,129.86
-nasnetalarge,228.07,1683.676,384,331,23.89,90.56,88.75
-beit_base_patch16_384,227.79,1685.763,384,384,55.54,101.56,86.74
-xcit_small_24_p8_224_dist,219.63,4662.341,1024,224,35.81,90.78,47.63
-xcit_small_24_p8_224,219.33,4668.653,1024,224,35.81,90.78,47.63
-xcit_medium_24_p16_384_dist,218.42,2344.05,512,384,47.39,91.64,84.4
-resmlp_big_24_224,205.71,4977.973,1024,224,100.23,87.31,129.14
-resmlp_big_24_224_in22ft1k,205.53,4982.262,1024,224,100.23,87.31,129.14
-resmlp_big_24_distilled_224,205.53,4982.296,1024,224,100.23,87.31,129.14
-nfnet_f2,199.27,5138.776,1024,352,63.22,79.06,193.78
-efficientnetv2_l,198.39,2580.786,512,480,56.4,157.99,118.52
-tf_efficientnetv2_l_in21ft1k,196.29,2608.374,512,480,56.4,157.99,118.52
-tf_efficientnetv2_l,196.05,2611.552,512,480,56.4,157.99,118.52
-efficientnet_b6,194.31,658.718,128,528,19.4,167.39,43.04
-dm_nfnet_f2,191.21,2677.704,512,352,63.22,79.06,193.78
-tf_efficientnet_b6_ns,188.46,679.176,128,528,19.4,167.39,43.04
-tf_efficientnet_b6_ap,188.11,680.439,128,528,19.4,167.39,43.04
-tf_efficientnet_b6,187.99,680.87,128,528,19.4,167.39,43.04
-swin_v2_cr_small_384,182.11,1405.708,256,384,29.73,328.89,49.7
-swin_base_patch4_window12_384,176.69,1086.618,192,384,47.19,134.78,87.9
-vit_base_patch8_224,174.18,1469.691,256,224,78.22,161.69,86.58
-cait_xs24_384,172.41,2969.69,512,384,19.28,183.98,26.67
-volo_d5_224,172.09,5950.508,1024,224,72.4,118.11,295.46
-vit_base_r50_s16_384,167.12,2297.711,384,384,67.43,135.03,98.95
-vit_base_resnet50_384,167.1,2298.053,384,384,67.43,135.03,98.95
-convnext_large_384_in22ft1k,166.43,1538.202,256,384,101.09,126.74,197.77
-cait_xxs36_384,163.24,6273.131,1024,384,14.35,183.7,17.37
-xcit_medium_24_p8_224_dist,162.77,3145.502,512,224,63.53,121.23,84.32
-xcit_medium_24_p8_224,162.47,3151.38,512,224,63.53,121.23,84.32
-eca_nfnet_l3,159.16,3216.919,512,448,52.55,118.4,72.04
-swin_v2_cr_huge_224,158.05,2429.581,384,224,115.98,130.61,657.83
-resnetrs350,152.47,3358.018,512,384,77.59,154.74,163.96
-volo_d2_384,149.2,1715.757,256,384,46.17,184.51,58.87
-ig_resnext101_32x32d,147.29,1738.089,256,224,87.29,91.12,468.53
-xcit_tiny_24_p8_384_dist,144.29,7096.813,1024,384,27.05,132.95,12.11
-xcit_small_12_p8_384_dist,140.94,3632.686,512,384,54.92,138.29,26.21
-vit_huge_patch14_224,137.14,7467.038,1024,224,167.4,139.41,632.05
-swin_v2_cr_base_384,136.57,1405.886,192,384,50.61,374.82,87.88
-cait_s24_384,132.93,3851.731,512,384,32.17,245.31,47.06
-xcit_large_24_p16_384_dist,132.54,3862.869,512,384,105.35,137.17,189.1
-efficientnetv2_xl,127.7,3007.081,384,512,93.85,247.32,208.12
-tf_efficientnetv2_xl_in21ft1k,126.72,3030.326,384,512,93.85,247.32,208.12
-resnest269e,122.23,3141.713,384,416,77.69,171.98,110.93
-convnext_xlarge_384_in22ft1k,113.66,1689.239,192,384,179.18,168.99,350.2
-efficientnet_b7,111.61,860.145,96,600,38.33,289.94,66.35
-swin_large_patch4_window12_384,111.13,1151.803,128,384,104.08,202.16,196.74
-resnetrs420,109.22,4687.594,512,416,108.45,213.79,191.89
-nfnet_f3,108.69,4710.42,512,416,115.58,141.78,254.92
-tf_efficientnet_b7_ns,108.52,884.628,96,600,38.33,289.94,66.35
-tf_efficientnet_b7,108.51,884.669,96,600,38.33,289.94,66.35
-tf_efficientnet_b7_ap,108.41,885.546,96,600,38.33,289.94,66.35
-convmixer_1536_20,105.15,9738.155,1024,224,48.68,33.03,51.63
-xcit_large_24_p8_224,98.65,5189.87,512,224,141.23,181.56,188.93
-xcit_large_24_p8_224_dist,98.5,5198.076,512,224,141.23,181.56,188.93
-dm_nfnet_f3,97.31,5261.505,512,416,115.58,141.78,254.92
-resnetv2_152x2_bit_teacher_384,96.06,2664.909,256,384,136.16,132.56,236.34
-resnetv2_50x3_bitm,93.55,1368.206,128,448,145.7,133.37,217.32
-vit_large_patch16_384,91.35,2802.38,256,384,191.21,270.24,304.72
-vit_giant_patch14_224,90.49,5658.11,512,224,267.18,192.64,1012.61
-cait_s36_384,89.11,5745.925,512,384,47.99,367.4,68.37
-ig_resnext101_32x48d,87.36,2197.696,192,224,153.57,131.06,828.41
-swin_v2_cr_large_384,86.85,1473.707,128,384,109.02,466.67,196.68
-beit_large_patch16_384,79.29,3228.802,256,384,191.21,270.24,305.0
-xcit_small_24_p8_384_dist,74.05,6914.533,512,384,105.24,265.91,47.63
-resnetv2_152x2_bitm,70.66,2717.055,192,448,184.99,180.43,236.34
-efficientnet_b8,69.61,1379.103,96,672,63.48,442.89,87.41
-tf_efficientnet_b8,68.01,1411.465,96,672,63.48,442.89,87.41
-tf_efficientnet_b8_ap,68.0,1411.838,96,672,63.48,442.89,87.41
-volo_d3_448,66.4,2891.706,192,448,96.33,446.83,86.63
-nfnet_f4,59.8,6420.863,384,512,216.26,262.26,316.07
-dm_nfnet_f4,58.08,4407.375,256,512,216.26,262.26,316.07
-resnetv2_101x3_bitm,57.61,2221.888,128,448,280.33,194.78,387.93
-vit_gigantic_patch14_224,55.06,6974.141,384,224,483.95,275.37,1844.44
-xcit_medium_24_p8_384_dist,55.01,4653.657,256,384,186.67,354.73,84.32
-volo_d4_448,49.32,2595.126,128,448,197.13,527.35,193.41
-swin_v2_cr_giant_224,47.35,2703.11,128,224,483.88,342.95,2598.76
-nfnet_f5,43.8,5844.773,256,544,290.97,349.71,377.21
-swin_v2_cr_huge_384,40.54,1578.782,64,384,352.16,696.31,657.94
-tf_efficientnet_l2_ns_475,39.18,1633.537,64,475,172.11,609.89,480.31
-dm_nfnet_f5,39.13,6543.097,256,544,290.97,349.71,377.21
-nfnet_f6,34.31,7461.788,256,576,378.69,452.2,438.36
-volo_d5_448,34.12,3751.116,128,448,315.06,737.92,295.91
-xcit_large_24_p8_384_dist,33.15,5792.568,192,384,415.0,531.82,188.93
-beit_large_patch16_512,32.17,2983.777,96,512,362.24,656.39,305.67
-dm_nfnet_f6,30.6,8365.588,256,576,378.69,452.2,438.36
-cait_m36_384,30.38,8425.311,256,384,173.11,734.81,271.22
-nfnet_f7,26.68,9596.214,256,608,480.39,570.85,499.5
-volo_d5_512,23.97,4004.478,96,512,425.09,1105.37,296.09
-resnetv2_152x4_bitm,18.45,3469.53,64,480,844.84,414.26,936.53
-efficientnet_l2,14.11,1701.114,24,800,479.12,1707.39,480.31
-tf_efficientnet_l2_ns,13.9,1726.621,24,800,479.12,1707.39,480.31
-cait_m48_448,13.15,9732.974,128,448,329.41,1708.23,356.46
-swin_v2_cr_giant_384,13.09,1833.537,24,384,1451.0,1686.82,2598.76
diff --git a/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
new file mode 100644
index 00000000..2717e61e
--- /dev/null
+++ b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
@@ -0,0 +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
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+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
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+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
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+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
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+fbnetv3_b,4982.49,205.508,1024,256,8.6
+selecsls42,4945.53,207.043,1024,224,30.35
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+resnet34d,4834.03,211.82,1024,224,21.82
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+pit_xs_224,4766.56,214.816,1024,224,10.62
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+legacy_seresnet34,4737.15,216.152,1024,224,21.96
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+mixer_b32_224,4707.3,217.523,1024,224,60.29
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+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
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+mobilenetv2_120d,4530.56,226.009,1024,224,5.83
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+cs3darknet_focus_m,4399.27,232.755,1024,288,9.3
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+resnet26,4383.27,233.604,1024,224,16.0
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+rexnetr_150,4170.12,245.545,1024,224,9.78
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+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
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+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
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+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
diff --git a/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv
deleted file mode 100644
index 0eb5b865..00000000
--- a/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv
+++ /dev/null
@@ -1,747 +0,0 @@
-model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
-tinynet_e,67598.74,15.137,1024,106,0.03,0.69,2.04
-mobilenetv3_small_050,48021.33,21.312,1024,224,0.03,0.92,1.59
-lcnet_035,46934.76,21.806,1024,224,0.03,1.04,1.64
-lcnet_050,41338.69,24.759,1024,224,0.05,1.26,1.88
-mobilenetv3_small_075,37600.26,27.223,1024,224,0.05,1.3,2.04
-mobilenetv3_small_100,34647.33,29.544,1024,224,0.06,1.42,2.54
-tinynet_d,34267.93,29.871,1024,152,0.05,1.42,2.34
-tf_mobilenetv3_small_minimal_100,30966.2,33.057,1024,224,0.06,1.41,2.04
-tf_mobilenetv3_small_075,30182.31,33.916,1024,224,0.05,1.3,2.04
-tf_mobilenetv3_small_100,28343.09,36.117,1024,224,0.06,1.42,2.54
-lcnet_075,26938.48,38.001,1024,224,0.1,1.99,2.36
-mnasnet_small,23076.61,44.363,1024,224,0.07,2.16,2.03
-lcnet_100,22762.31,44.976,1024,224,0.16,2.52,2.95
-levit_128s,20755.15,49.325,1024,224,0.31,1.88,7.78
-mobilenetv2_035,19994.44,51.203,1024,224,0.07,2.86,1.68
-ghostnet_050,18471.32,55.424,1024,224,0.05,1.77,2.59
-mnasnet_050,18296.1,55.958,1024,224,0.11,3.07,2.22
-regnetx_002,17879.88,57.26,1024,224,0.2,2.16,2.68
-tinynet_c,17314.92,59.128,1024,184,0.11,2.87,2.46
-regnety_002,16652.24,61.481,1024,224,0.2,2.17,3.16
-mobilenetv2_050,16390.03,62.466,1024,224,0.1,3.64,1.97
-semnasnet_050,16274.49,62.909,1024,224,0.11,3.44,2.08
-lcnet_150,15027.49,68.13,1024,224,0.34,3.79,4.5
-regnetx_004,14443.33,70.887,1024,224,0.4,3.14,5.16
-levit_128,14144.82,72.382,1024,224,0.41,2.71,9.21
-gernet_s,14022.8,73.012,1024,224,0.75,2.65,8.17
-mobilenetv3_large_075,13623.51,75.153,1024,224,0.16,4.0,3.99
-levit_192,12569.09,81.459,1024,224,0.66,3.2,10.95
-mnasnet_075,12484.05,82.013,1024,224,0.23,4.77,3.17
-hardcorenas_a,12417.99,82.45,1024,224,0.23,4.38,5.26
-mobilenetv3_rw,12394.68,82.605,1024,224,0.23,4.41,5.48
-mobilenetv3_large_100,12240.42,83.646,1024,224,0.23,4.41,5.48
-mobilenetv3_large_100_miil,12231.48,83.708,1024,224,0.23,4.41,5.48
-tf_mobilenetv3_large_075,11693.54,87.558,1024,224,0.16,4.0,3.99
-tinynet_b,11575.42,88.451,1024,188,0.21,4.44,3.73
-hardcorenas_b,11309.45,90.531,1024,224,0.26,5.09,5.18
-ese_vovnet19b_slim_dw,11282.98,90.744,1024,224,0.4,5.28,1.9
-hardcorenas_c,11278.74,90.778,1024,224,0.28,5.01,5.52
-tf_mobilenetv3_large_minimal_100,11239.3,91.097,1024,224,0.22,4.4,3.92
-mixer_s32_224,11024.19,92.875,1024,224,1.0,2.28,19.1
-mnasnet_b1,10928.0,93.692,1024,224,0.33,5.46,4.38
-mnasnet_100,10925.28,93.715,1024,224,0.33,5.46,4.38
-ssl_resnet18,10839.84,94.456,1024,224,1.82,2.48,11.69
-swsl_resnet18,10838.47,94.466,1024,224,1.82,2.48,11.69
-resnet18,10801.25,94.792,1024,224,1.82,2.48,11.69
-gluon_resnet18_v1b,10770.37,95.064,1024,224,1.82,2.48,11.69
-tf_mobilenetv3_large_100,10561.44,96.944,1024,224,0.23,4.41,5.48
-semnasnet_075,10534.15,97.196,1024,224,0.23,5.54,2.91
-hardcorenas_d,10497.86,97.532,1024,224,0.3,4.93,7.5
-ghostnet_100,10377.41,98.663,1024,224,0.15,3.55,5.18
-mobilenetv2_075,10371.19,98.722,1024,224,0.22,5.86,2.64
-vit_small_patch32_224,10204.75,100.333,1024,224,1.15,2.5,22.88
-seresnet18,10134.68,101.027,1024,224,1.82,2.49,11.78
-regnety_006,9954.3,102.858,1024,224,0.61,4.33,6.06
-spnasnet_100,9888.24,103.545,1024,224,0.35,6.03,4.42
-legacy_seresnet18,9818.56,104.281,1024,224,1.82,2.49,11.78
-regnety_004,9541.83,107.304,1024,224,0.41,3.89,4.34
-tinynet_a,9384.67,109.102,1024,192,0.35,5.41,6.19
-hardcorenas_f,9332.55,109.711,1024,224,0.35,5.57,8.2
-semnasnet_100,9315.23,109.915,1024,224,0.32,6.23,3.89
-mnasnet_a1,9304.78,110.039,1024,224,0.32,6.23,3.89
-mobilenetv2_100,9258.67,110.587,1024,224,0.31,6.68,3.5
-hardcorenas_e,9198.78,111.307,1024,224,0.35,5.65,8.07
-levit_256,9194.42,111.36,1024,224,1.13,4.23,18.89
-tf_efficientnetv2_b0,9174.7,111.6,1024,224,0.73,4.77,7.14
-fbnetc_100,9062.65,112.98,1024,224,0.4,6.51,5.57
-efficientnet_lite0,8993.41,113.849,1024,224,0.4,6.74,4.65
-resnet18d,8935.88,114.583,1024,224,2.06,3.29,11.71
-vit_tiny_r_s16_p8_224,8745.04,117.083,1024,224,0.44,2.06,6.34
-ese_vovnet19b_slim,8703.47,117.642,1024,224,1.69,3.52,3.17
-regnetx_008,8472.48,120.85,1024,224,0.81,5.15,7.26
-regnetx_006,7966.99,128.519,1024,224,0.61,3.98,6.2
-levit_256d,7831.06,130.75,1024,224,1.4,4.93,26.21
-regnety_008,7830.87,130.751,1024,224,0.81,5.25,6.26
-tf_efficientnet_lite0,7797.89,131.305,1024,224,0.4,6.74,4.65
-ghostnet_130,7607.96,134.583,1024,224,0.24,4.6,7.36
-efficientnet_b0,7607.28,134.597,1024,224,0.4,6.75,5.29
-mnasnet_140,7524.53,136.075,1024,224,0.6,7.71,7.12
-rexnetr_100,7232.49,141.572,1024,224,0.43,7.72,4.88
-mobilenetv2_110d,7028.36,145.684,1024,224,0.45,8.71,4.52
-tf_efficientnet_b0_ap,6725.28,152.249,1024,224,0.4,6.75,5.29
-tf_efficientnet_b0_ns,6722.65,152.307,1024,224,0.4,6.75,5.29
-tf_efficientnet_b0,6714.91,152.484,1024,224,0.4,6.75,5.29
-hrnet_w18_small,6643.57,154.12,1024,224,1.61,5.72,13.19
-regnetz_005,6617.28,154.735,1024,224,0.52,5.86,7.12
-gernet_m,6458.86,158.529,1024,224,3.02,5.24,21.14
-semnasnet_140,6419.24,159.509,1024,224,0.6,8.87,6.11
-tv_resnet34,6315.93,162.117,1024,224,3.67,3.74,21.8
-resnet34,6312.51,162.205,1024,224,3.67,3.74,21.8
-gluon_resnet34_v1b,6269.39,163.321,1024,224,3.67,3.74,21.8
-mobilenetv2_140,6223.46,164.527,1024,224,0.6,9.57,6.11
-ese_vovnet19b_dw,6166.26,166.054,1024,224,1.34,8.25,6.54
-efficientnet_lite1,5999.14,170.68,1024,240,0.62,10.14,5.42
-efficientnet_b1_pruned,5947.73,172.154,1024,240,0.4,6.21,6.33
-selecsls42,5907.3,173.332,1024,224,2.94,4.62,30.35
-selecsls42b,5879.07,174.165,1024,224,2.98,4.62,32.46
-tf_efficientnetv2_b1,5876.94,174.228,1024,240,1.21,7.34,8.14
-fbnetv3_b,5872.22,174.368,1024,256,0.55,9.1,8.6
-seresnet34,5869.49,174.448,1024,224,3.67,3.74,21.96
-skresnet18,5850.83,175.006,1024,224,1.82,3.24,11.96
-rexnet_100,5841.4,175.288,1024,224,0.41,7.44,4.8
-resnet26,5734.75,178.548,1024,224,2.36,7.35,16.0
-efficientnet_es_pruned,5732.72,178.611,1024,224,1.81,8.73,5.44
-efficientnet_es,5729.21,178.72,1024,224,1.81,8.73,5.44
-legacy_seresnet34,5666.19,180.71,1024,224,3.67,3.74,21.96
-resnet34d,5621.93,182.132,1024,224,3.91,4.54,21.82
-levit_384,5524.35,185.349,1024,224,2.36,6.26,39.13
-resnetblur18,5512.12,185.761,1024,224,2.34,3.39,11.69
-nf_regnet_b0,5492.16,186.436,1024,256,0.64,5.58,8.76
-rexnetr_130,5459.44,187.553,1024,224,0.68,9.81,7.61
-tf_efficientnet_es,5422.9,188.816,1024,224,1.81,8.73,5.44
-tf_efficientnet_lite1,5355.71,191.185,1024,240,0.62,10.14,5.42
-selecsls60,5268.65,194.344,1024,224,3.59,5.52,30.67
-selecsls60b,5252.65,194.936,1024,224,3.63,5.52,32.77
-mobilenetv2_120d,5162.92,198.325,1024,224,0.69,11.97,5.83
-repvgg_b0,5052.09,202.677,1024,224,3.41,6.15,15.82
-resnet26d,4922.38,208.017,1024,224,2.6,8.15,16.01
-fbnetv3_d,4802.31,213.218,1024,256,0.68,11.1,10.31
-xcit_nano_12_p16_224,4773.0,214.528,1024,224,0.56,4.17,3.05
-rexnetr_150,4769.15,214.701,1024,224,0.89,11.13,9.78
-xcit_nano_12_p16_224_dist,4764.08,214.929,1024,224,0.56,4.17,3.05
-vit_tiny_patch16_224,4754.4,215.366,1024,224,1.26,5.97,5.72
-deit_tiny_patch16_224,4742.21,215.918,1024,224,1.26,5.97,5.72
-nf_resnet26,4720.75,216.903,1024,224,2.41,7.35,16.0
-visformer_tiny,4686.07,218.507,1024,224,1.27,5.72,10.32
-deit_tiny_distilled_patch16_224,4682.4,218.676,1024,224,1.27,6.01,5.91
-efficientnet_lite2,4622.9,221.493,1024,260,0.89,12.9,6.09
-pit_ti_distilled_224,4461.94,229.484,1024,224,0.71,6.23,5.1
-pit_ti_224,4451.07,230.044,1024,224,0.7,6.19,4.85
-resmlp_12_distilled_224,4424.39,231.432,1024,224,3.01,5.5,15.35
-resmlp_12_224,4422.97,231.507,1024,224,3.01,5.5,15.35
-tf_efficientnetv2_b2,4364.43,234.612,1024,260,1.72,9.84,10.1
-efficientnet_b0_g16_evos,4258.95,240.422,1024,224,1.01,7.42,8.11
-tf_efficientnet_b1_ap,4209.48,243.247,1024,240,0.71,10.88,7.79
-tf_efficientnet_b1,4206.94,243.394,1024,240,0.71,10.88,7.79
-tf_efficientnet_b1_ns,4206.45,243.423,1024,240,0.71,10.88,7.79
-gernet_l,4203.4,243.6,1024,256,4.57,8.0,31.08
-legacy_seresnext26_32x4d,4195.67,244.05,1024,224,2.49,9.39,16.79
-tf_efficientnet_lite2,4152.0,246.616,1024,260,0.89,12.9,6.09
-resnext26ts,4093.42,250.143,1024,256,2.43,10.52,10.3
-efficientnet_b1,4070.65,251.545,1024,256,0.77,12.22,7.79
-mixer_b32_224,4051.68,252.722,1024,224,3.24,6.29,60.29
-vit_base_patch32_224_sam,4039.13,253.507,1024,224,4.41,5.01,88.22
-vit_base_patch32_224,4032.31,253.936,1024,224,4.41,5.01,88.22
-rexnet_130,3995.13,256.299,1024,224,0.68,9.71,7.56
-nf_seresnet26,3989.88,256.637,1024,224,2.41,7.36,17.4
-nf_ecaresnet26,3979.77,257.29,1024,224,2.41,7.36,16.0
-seresnext26ts,3962.63,258.399,1024,256,2.43,10.52,10.39
-eca_resnext26ts,3962.0,258.443,1024,256,2.43,10.52,10.3
-repvgg_a2,3879.7,263.924,1024,224,5.7,6.26,28.21
-resnet26t,3812.96,268.545,1024,256,3.35,10.52,16.01
-regnetx_016,3789.45,270.213,1024,224,1.62,7.93,9.19
-gcresnext26ts,3774.22,271.302,1024,256,2.43,10.53,10.48
-efficientnet_b2_pruned,3765.97,271.895,1024,260,0.73,9.13,8.31
-mobilevit_xxs,3756.03,272.615,1024,256,0.42,8.34,1.27
-seresnext26t_32x4d,3753.45,272.802,1024,224,2.7,10.09,16.81
-rexnet_150,3752.67,272.86,1024,224,0.9,11.21,9.73
-seresnext26tn_32x4d,3752.12,272.899,1024,224,2.7,10.09,16.81
-seresnext26d_32x4d,3746.32,273.322,1024,224,2.73,10.19,16.81
-ecaresnext50t_32x4d,3742.01,273.637,1024,224,2.7,10.09,15.41
-ecaresnext26t_32x4d,3741.38,273.685,1024,224,2.7,10.09,15.41
-resnetv2_50,3727.11,274.73,1024,224,4.11,11.11,25.55
-ecaresnet50d_pruned,3716.52,275.512,1024,224,2.53,6.43,19.94
-eca_botnext26ts_256,3657.01,279.998,1024,256,2.46,11.6,10.59
-pit_xs_224,3649.08,280.606,1024,224,1.4,7.71,10.62
-mixer_s16_224,3636.18,281.601,1024,224,3.79,5.97,18.53
-pit_xs_distilled_224,3615.14,283.241,1024,224,1.41,7.76,11.0
-ecaresnetlight,3578.86,286.112,1024,224,4.11,8.42,30.16
-gluon_resnet50_v1b,3553.85,288.125,1024,224,4.11,11.11,25.56
-eca_halonext26ts,3546.67,288.71,1024,256,2.44,11.46,10.76
-swsl_resnet50,3546.19,288.748,1024,224,4.11,11.11,25.56
-tv_resnet50,3545.52,288.801,1024,224,4.11,11.11,25.56
-ssl_resnet50,3545.14,288.833,1024,224,4.11,11.11,25.56
-resnet50,3544.26,288.904,1024,224,4.11,11.11,25.56
-poolformer_s12,3517.37,291.113,1024,224,1.82,5.53,11.92
-rexnetr_200,3507.94,145.944,512,224,1.59,15.11,16.52
-dla46_c,3470.52,295.04,1024,224,0.58,4.5,1.3
-efficientnet_em,3446.66,297.086,1024,240,3.04,14.34,6.9
-resnet32ts,3441.99,297.489,1024,256,4.63,11.58,17.96
-dpn68,3441.53,297.53,1024,224,2.35,10.47,12.61
-dpn68b,3424.64,298.997,1024,224,2.35,10.47,12.61
-botnet26t_256,3414.09,299.918,1024,256,3.32,11.98,12.49
-regnety_016,3396.79,301.447,1024,224,1.63,8.04,11.2
-xcit_tiny_12_p16_224_dist,3391.79,301.892,1024,224,1.24,6.29,6.72
-resnet33ts,3389.22,302.122,1024,256,4.76,11.66,19.68
-xcit_tiny_12_p16_224,3388.8,302.158,1024,224,1.24,6.29,6.72
-nf_regnet_b1,3376.64,303.248,1024,288,1.02,9.2,10.22
-resnetv2_50t,3372.1,303.654,1024,224,4.32,11.82,25.57
-resnetv2_50d,3370.23,303.824,1024,224,4.35,11.92,25.57
-gluon_resnet50_v1c,3357.28,304.996,1024,224,4.35,11.92,25.58
-nf_regnet_b2,3357.15,305.008,1024,272,1.22,9.27,14.31
-halonet26t,3341.01,306.482,1024,256,3.19,11.69,12.48
-gmixer_12_224,3331.74,307.335,1024,224,2.67,7.26,12.7
-tf_efficientnet_em,3315.19,308.867,1024,240,3.04,14.34,6.9
-skresnet34,3309.87,309.366,1024,224,3.67,5.13,22.28
-seresnet33ts,3273.95,312.759,1024,256,4.76,11.66,19.78
-tf_efficientnet_b2,3269.65,313.17,1024,260,1.02,13.83,9.11
-eca_resnet33ts,3266.95,313.43,1024,256,4.76,11.66,19.68
-tf_efficientnet_b2_ns,3265.96,313.524,1024,260,1.02,13.83,9.11
-tf_efficientnet_b2_ap,3265.24,313.594,1024,260,1.02,13.83,9.11
-vit_small_patch32_384,3261.97,313.907,1024,384,3.45,8.25,22.92
-resnet50t,3224.3,317.574,1024,224,4.32,11.82,25.57
-gluon_resnet50_v1d,3223.07,317.695,1024,224,4.35,11.92,25.58
-bat_resnext26ts,3219.21,318.076,1024,256,2.53,12.51,10.73
-resnet50d,3219.13,318.085,1024,224,4.35,11.92,25.58
-legacy_seresnet50,3183.45,321.65,1024,224,3.88,10.6,28.09
-convnext_nano_hnf,3142.93,325.795,1024,224,2.45,8.37,15.59
-gcresnet33ts,3109.78,329.272,1024,256,4.76,11.68,19.88
-vovnet39a,3106.34,329.636,1024,224,7.09,6.73,22.6
-efficientnet_b2,3086.88,331.715,1024,288,1.12,16.2,9.11
-efficientnet_b2a,3085.38,331.876,1024,288,1.12,16.2,9.11
-seresnet50,3063.5,334.246,1024,224,4.11,11.13,28.09
-efficientnet_b3_pruned,3061.51,334.462,1024,300,1.04,11.86,9.86
-vit_small_resnet26d_224,3015.3,339.587,1024,224,5.07,11.12,63.61
-ese_vovnet39b,2994.81,341.913,1024,224,7.09,6.74,24.57
-res2net50_48w_2s,2988.95,342.583,1024,224,4.18,11.72,25.29
-cspresnext50,2987.05,342.799,1024,224,3.1,12.14,20.57
-haloregnetz_b,2983.57,343.199,1024,224,1.97,11.94,11.68
-eca_vovnet39b,2981.18,343.475,1024,224,7.09,6.74,22.6
-selecsls84,2979.85,343.628,1024,224,5.9,7.57,50.95
-tv_resnext50_32x4d,2888.51,354.496,1024,224,4.26,14.4,25.03
-swsl_resnext50_32x4d,2887.95,354.564,1024,224,4.26,14.4,25.03
-gluon_resnext50_32x4d,2886.69,354.718,1024,224,4.26,14.4,25.03
-resnetaa50d,2886.21,354.778,1024,224,5.39,12.44,25.58
-resnext50_32x4d,2882.66,355.215,1024,224,4.26,14.4,25.03
-ssl_resnext50_32x4d,2874.35,356.241,1024,224,4.26,14.4,25.03
-mixnet_s,2870.58,356.71,1024,224,0.25,6.25,4.13
-tv_densenet121,2868.5,356.969,1024,224,2.87,6.9,7.98
-densenet121,2859.93,358.034,1024,224,2.87,6.9,7.98
-crossvit_tiny_240,2844.98,359.92,1024,240,1.57,9.08,7.01
-gluon_resnet50_v1s,2839.32,360.638,1024,224,5.47,13.52,25.68
-resnetrs50,2835.76,361.089,1024,224,4.48,12.14,35.69
-ecaresnet101d_pruned,2830.74,361.73,1024,224,3.48,7.69,24.88
-seresnet50t,2823.21,362.695,1024,224,4.32,11.83,28.1
-ecaresnet50d,2805.68,364.961,1024,224,4.35,11.93,25.58
-rexnet_200,2798.14,182.968,512,224,1.56,14.91,16.37
-dla34,2784.38,367.75,1024,224,3.07,5.02,15.74
-crossvit_9_240,2767.15,370.043,1024,240,1.85,9.52,8.55
-dla46x_c,2763.35,370.549,1024,224,0.54,5.66,1.07
-hrnet_w18_small_v2,2753.44,371.885,1024,224,2.62,9.65,15.6
-cspresnet50,2747.09,372.74,1024,256,4.54,11.5,21.62
-densenet121d,2731.42,374.878,1024,224,3.11,7.7,8.0
-tf_mixnet_s,2728.95,375.223,1024,224,0.25,6.25,4.13
-crossvit_9_dagger_240,2727.58,375.412,1024,240,1.99,9.97,8.78
-convit_tiny,2724.97,375.771,1024,224,1.26,7.94,5.71
-efficientnet_lite3,2724.75,187.896,512,300,1.65,21.85,8.2
-regnetz_b16,2699.0,379.388,1024,288,2.39,16.43,9.72
-dla60x_c,2695.93,379.816,1024,224,0.59,6.01,1.32
-resnext50d_32x4d,2662.94,384.525,1024,224,4.5,15.2,25.05
-resnetblur50,2614.02,391.72,1024,224,5.16,12.02,25.56
-vgg11_bn,2605.49,196.497,512,224,7.62,7.44,132.87
-gmlp_ti16_224,2595.56,394.507,1024,224,1.34,7.55,5.87
-cspresnet50d,2589.51,395.427,1024,256,4.86,12.55,21.64
-cspresnet50w,2569.03,398.577,1024,256,5.04,12.19,28.12
-legacy_seresnext50_32x4d,2559.94,399.996,1024,224,4.26,14.42,27.56
-seresnext50_32x4d,2557.01,400.454,1024,224,4.26,14.42,27.56
-seresnetaa50d,2555.76,400.65,1024,224,5.4,12.46,28.11
-gluon_seresnext50_32x4d,2554.83,400.796,1024,224,4.26,14.42,27.56
-vovnet57a,2541.91,402.835,1024,224,8.95,7.52,36.64
-res2net50_26w_4s,2528.48,404.972,1024,224,4.28,12.61,25.7
-fbnetv3_g,2526.11,405.353,1024,288,1.77,21.09,16.62
-gcresnet50t,2519.53,406.409,1024,256,5.42,14.67,25.9
-mobilevit_xs,2517.79,203.342,512,256,1.05,16.33,2.32
-efficientnetv2_rw_t,2509.76,407.994,1024,288,3.19,16.42,13.65
-tf_efficientnetv2_b3,2477.2,413.357,1024,300,3.04,15.74,14.36
-ese_vovnet57b,2451.87,417.628,1024,224,8.95,7.52,38.61
-vit_base2_patch32_256,2444.79,418.837,1024,256,7.79,7.76,119.46
-densenetblur121d,2444.27,418.923,1024,224,3.11,7.9,8.0
-tf_efficientnet_lite3,2442.3,209.627,512,300,1.65,21.85,8.2
-vit_tiny_r_s16_p8_384,2438.04,209.992,512,384,1.34,6.49,6.36
-vit_small_patch16_224,2432.98,420.87,1024,224,4.61,11.95,22.05
-resnetblur50d,2432.25,420.996,1024,224,5.4,12.82,25.58
-deit_small_patch16_224,2428.96,421.564,1024,224,4.61,11.95,22.05
-nf_seresnet50,2416.51,423.739,1024,224,4.21,11.13,28.09
-nf_ecaresnet50,2408.03,425.23,1024,224,4.21,11.13,25.56
-inception_v3,2407.94,425.243,1024,299,5.73,8.97,23.83
-tf_inception_v3,2403.0,426.12,1024,299,5.73,8.97,23.83
-pit_s_224,2400.22,426.615,1024,224,2.88,11.56,23.46
-adv_inception_v3,2396.39,427.291,1024,299,5.73,8.97,23.83
-deit_small_distilled_patch16_224,2393.24,427.856,1024,224,4.63,12.02,22.44
-gluon_inception_v3,2390.99,428.257,1024,299,5.73,8.97,23.83
-pit_s_distilled_224,2380.56,430.136,1024,224,2.9,11.64,24.04
-vit_base_resnet26d_224,2375.02,431.141,1024,224,6.97,13.16,101.4
-resnest14d,2369.9,432.072,1024,224,2.76,7.33,10.61
-lambda_resnet26rpt_256,2366.95,216.301,512,256,3.16,11.87,10.99
-densenet169,2363.13,433.308,1024,224,3.4,7.3,14.15
-skresnet50,2341.67,437.282,1024,224,4.11,12.5,25.8
-gc_efficientnetv2_rw_t,2301.92,444.832,1024,288,3.2,16.45,13.68
-res2net50_14w_8s,2274.27,450.241,1024,224,4.21,13.28,25.06
-gcresnext50ts,2273.63,450.365,1024,256,3.75,15.46,15.67
-sehalonet33ts,2269.0,225.638,512,256,3.55,14.7,13.69
-resmlp_24_224,2264.75,452.133,1024,224,5.96,10.91,30.02
-resmlp_24_distilled_224,2264.4,452.202,1024,224,5.96,10.91,30.02
-darknet53,2257.9,226.743,512,256,9.31,12.39,41.61
-resnetv2_101,2240.07,457.113,1024,224,7.83,16.23,44.54
-skresnet50d,2193.77,466.762,1024,224,4.36,13.31,25.82
-gluon_resnet101_v1b,2175.78,470.623,1024,224,7.83,16.23,44.55
-tv_resnet101,2173.0,471.223,1024,224,7.83,16.23,44.55
-resnet101,2169.86,471.907,1024,224,7.83,16.23,44.55
-res2next50,2165.07,472.951,1024,224,4.2,13.71,24.67
-nf_regnet_b3,2142.11,478.019,1024,320,2.05,14.61,18.59
-ecaresnet26t,2130.22,480.685,1024,320,5.24,16.44,16.01
-resnetv2_101d,2102.02,487.136,1024,224,8.07,17.04,44.56
-gluon_resnet101_v1c,2099.96,487.615,1024,224,8.08,17.04,44.57
-dla60,2086.09,490.853,1024,224,4.26,10.16,22.04
-gluon_resnet101_v1d,2048.54,499.853,1024,224,8.08,17.04,44.57
-vgg13,2036.07,502.915,1024,224,11.31,12.25,133.05
-convnext_tiny_hnf,2032.23,503.867,1024,224,4.47,13.44,28.59
-mobilevit_s,2031.79,251.983,512,256,2.03,19.94,5.58
-wide_resnet50_2,2003.76,511.025,1024,224,11.43,14.4,68.88
-efficientnet_b0_gn,1990.83,257.167,512,224,0.42,6.75,5.29
-repvgg_b1,1937.46,528.514,1024,224,13.16,10.64,57.42
-sebotnet33ts_256,1925.17,199.45,384,256,3.89,17.46,13.7
-legacy_seresnet101,1920.98,533.049,1024,224,7.61,15.74,49.33
-resnetaa101d,1902.88,538.118,1024,224,9.12,17.56,44.57
-semobilevit_s,1901.2,269.292,512,256,2.03,19.95,5.74
-dla60x,1896.63,539.888,1024,224,3.54,13.8,17.35
-vit_base_resnet50d_224,1891.44,541.372,1024,224,8.73,16.92,110.97
-gluon_resnet101_v1s,1885.09,543.196,1024,224,9.19,18.64,44.67
-resnet51q,1880.5,544.522,1024,288,8.07,20.94,35.7
-seresnet101,1876.16,545.782,1024,224,7.84,16.27,49.33
-tf_efficientnet_b3_ns,1869.48,273.862,512,300,1.87,23.83,12.23
-tf_efficientnet_b3,1867.21,274.194,512,300,1.87,23.83,12.23
-tf_efficientnet_b3_ap,1867.02,274.222,512,300,1.87,23.83,12.23
-coat_lite_tiny,1852.39,552.786,1024,224,1.6,11.65,5.72
-efficientnet_b3,1838.85,278.423,512,320,2.01,26.52,12.23
-efficientnet_b3a,1837.41,278.642,512,320,2.01,26.52,12.23
-poolformer_s24,1826.45,560.637,1024,224,3.41,10.68,21.39
-densenet201,1819.15,562.883,1024,224,4.34,7.85,20.01
-xcit_tiny_24_p16_224_dist,1814.23,564.411,1024,224,2.34,11.82,12.12
-nf_resnet101,1807.6,566.485,1024,224,8.01,16.23,44.55
-xcit_tiny_24_p16_224,1806.45,566.843,1024,224,2.34,11.82,12.12
-cspdarknet53,1800.59,284.34,512,256,6.57,16.81,27.64
-resnext101_32x4d,1797.78,569.576,1024,224,8.01,21.23,44.18
-ssl_resnext101_32x4d,1797.66,569.615,1024,224,8.01,21.23,44.18
-swsl_resnext101_32x4d,1795.39,570.337,1024,224,8.01,21.23,44.18
-gluon_resnext101_32x4d,1793.08,571.07,1024,224,8.01,21.23,44.18
-xcit_small_12_p16_224_dist,1789.93,572.076,1024,224,4.82,12.58,26.25
-xcit_small_12_p16_224,1789.28,572.284,1024,224,4.82,12.58,26.25
-halonet50ts,1788.45,572.549,1024,256,5.3,19.2,22.73
-res2net50_26w_6s,1775.31,576.783,1024,224,6.33,15.28,37.05
-coat_lite_mini,1771.74,577.95,1024,224,2.0,12.25,11.01
-ecaresnet101d,1771.55,578.01,1024,224,8.08,17.07,44.57
-convnext_tiny_hnfd,1758.43,582.323,1024,224,4.78,14.64,28.63
-regnetz_c16,1753.5,291.974,512,320,3.92,25.88,13.46
-nf_resnet50,1751.0,584.795,1024,288,6.88,18.37,25.56
-dla60_res2net,1735.18,590.122,1024,224,4.15,12.34,20.85
-convnext_tiny,1731.03,591.541,1024,224,4.47,13.44,28.59
-resnest26d,1730.95,591.569,1024,224,3.64,9.97,17.07
-vit_small_r26_s32_224,1710.8,598.536,1024,224,3.56,9.85,36.43
-gmixer_24_224,1701.15,601.933,1024,224,5.28,14.45,24.72
-resnetblur101d,1698.79,602.767,1024,224,9.12,17.94,44.57
-resnet61q,1686.77,607.063,1024,288,9.87,21.52,36.85
-vgg13_bn,1654.93,309.368,512,224,11.33,12.25,133.05
-vgg16,1643.23,623.151,1024,224,15.47,13.56,138.36
-xcit_nano_12_p16_384_dist,1641.55,623.788,1024,384,1.64,12.15,3.05
-efficientnet_b0_g8_gn,1622.56,315.54,512,224,0.66,6.75,6.56
-repvgg_b1g4,1617.36,633.118,1024,224,8.15,10.64,39.97
-regnetx_032,1612.7,634.945,1024,224,3.2,11.37,15.3
-resnetv2_50d_frn,1611.81,635.295,1024,224,4.33,11.92,25.59
-res2net101_26w_4s,1600.73,639.694,1024,224,8.1,18.45,45.21
-regnetx_040,1592.21,643.119,1024,224,3.99,12.2,22.12
-legacy_seresnext101_32x4d,1591.58,643.374,1024,224,8.02,21.26,48.96
-seresnext101_32x4d,1590.99,643.61,1024,224,8.02,21.26,48.96
-gluon_seresnext101_32x4d,1588.09,644.785,1024,224,8.02,21.26,48.96
-twins_svt_small,1586.89,645.273,1024,224,2.94,13.75,24.06
-ese_vovnet39b_evos,1567.33,653.327,1024,224,7.07,6.74,24.58
-xception41p,1557.52,328.715,512,299,9.25,39.86,26.91
-visformer_small,1553.17,659.284,1024,224,4.88,11.43,40.22
-hrnet_w32,1550.18,660.555,1024,224,8.97,22.02,41.23
-resnetv2_152,1549.71,660.755,1024,224,11.55,22.56,60.19
-dla60_res2next,1549.6,660.797,1024,224,3.49,13.17,17.03
-resnetv2_50d_evob,1548.76,661.162,1024,224,4.33,11.92,25.59
-resnest50d_1s4x24d,1548.3,661.358,1024,224,4.43,13.57,25.68
-xception,1544.37,331.513,512,299,8.4,35.83,22.86
-botnet50ts_256,1543.72,331.651,512,256,5.54,22.23,22.74
-dla102,1543.56,663.384,1024,224,7.19,14.18,33.27
-resnetv2_50x1_bit_distilled,1536.12,666.602,1024,224,4.23,11.11,25.55
-crossvit_small_240,1535.71,666.778,1024,240,5.63,18.17,26.86
-gluon_resnet152_v1b,1521.2,673.136,1024,224,11.56,22.56,60.19
-resmlp_36_224,1519.99,673.674,1024,224,8.91,16.33,44.69
-tv_resnet152,1519.51,673.886,1024,224,11.56,22.56,60.19
-resmlp_36_distilled_224,1519.32,673.971,1024,224,8.91,16.33,44.69
-resnet152,1516.8,675.093,1024,224,11.56,22.56,60.19
-efficientnet_el_pruned,1511.43,338.74,512,300,8.0,30.7,10.59
-efficientnet_el,1502.87,340.669,512,300,8.0,30.7,10.59
-res2net50_26w_8s,1500.5,682.425,1024,224,8.37,17.95,48.4
-nf_seresnet101,1495.3,684.796,1024,224,8.02,16.27,49.33
-nf_ecaresnet101,1488.87,687.754,1024,224,8.01,16.27,44.55
-resnetv2_152d,1485.92,689.12,1024,224,11.8,23.36,60.2
-gluon_resnet152_v1c,1482.34,690.787,1024,224,11.8,23.36,60.21
-halo2botnet50ts_256,1478.01,692.809,1024,256,5.02,21.78,22.64
-tf_efficientnet_el,1462.97,349.96,512,300,8.0,30.7,10.59
-gluon_resnet152_v1d,1456.19,703.189,1024,224,11.8,23.36,60.21
-mixnet_m,1441.42,710.398,1024,224,0.36,8.19,5.01
-gmlp_s16_224,1435.92,713.117,1024,224,4.42,15.1,19.42
-hrnet_w18,1435.25,713.441,1024,224,4.32,16.31,21.3
-vit_large_patch32_224,1434.56,713.791,1024,224,15.39,13.3,306.54
-dla102x,1422.48,719.854,1024,224,5.89,19.42,26.31
-tf_mixnet_m,1407.14,727.704,1024,224,0.36,8.19,5.01
-vit_base_r26_s32_224,1405.74,728.426,1024,224,6.81,12.36,101.38
-crossvit_15_240,1405.36,728.622,1024,240,5.81,19.77,27.53
-mixer_b16_224,1393.37,734.893,1024,224,12.62,14.53,59.88
-cait_xxs24_224,1391.6,735.832,1024,224,2.53,20.29,11.96
-mixer_b16_224_miil,1391.59,735.836,1024,224,12.62,14.53,59.88
-mixer_l32_224,1381.87,741.013,1024,224,11.27,19.86,206.94
-vgg19,1378.09,743.046,1024,224,19.63,14.86,143.67
-ecaresnet50t,1376.72,743.784,1024,320,8.82,24.13,25.57
-crossvit_15_dagger_240,1372.92,745.84,1024,240,6.13,20.43,28.21
-gluon_resnet152_v1s,1372.05,746.315,1024,224,12.92,24.96,60.32
-vgg16_bn,1370.07,373.69,512,224,15.5,13.56,138.37
-regnety_032,1366.08,749.575,1024,288,5.29,18.61,19.44
-skresnext50_32x4d,1361.83,751.915,1024,224,4.5,17.18,27.48
-ese_vovnet99b,1355.58,755.384,1024,224,16.51,11.27,63.2
-xception41,1339.87,382.115,512,299,9.28,39.86,26.97
-legacy_seresnet152,1328.26,770.919,1024,224,11.33,22.08,66.82
-dpn92,1311.48,780.784,1024,224,6.54,18.21,37.67
-seresnet152,1304.92,784.709,1024,224,11.57,22.61,66.82
-vit_base_patch32_384,1292.62,792.174,1024,384,13.06,16.5,88.3
-efficientnet_lite4,1290.99,297.435,384,380,4.04,45.66,13.01
-inception_v4,1286.59,795.889,1024,299,12.28,15.09,42.68
-swin_tiny_patch4_window7_224,1284.81,796.991,1024,224,4.51,17.06,28.29
-tresnet_m,1280.32,799.79,1024,224,5.74,7.31,31.39
-densenet161,1276.37,802.258,1024,224,7.79,11.06,28.68
-twins_pcpvt_small,1273.73,803.927,1024,224,3.83,18.08,24.11
-regnetx_080,1262.29,811.211,1024,224,8.02,14.06,39.57
-convit_small,1252.96,817.253,1024,224,5.76,17.87,27.78
-repvgg_b2,1245.13,822.392,1024,224,20.45,12.9,89.02
-xcit_nano_12_p8_224_dist,1241.05,825.093,1024,224,2.16,15.71,3.05
-xcit_nano_12_p8_224,1238.63,826.705,1024,224,2.16,15.71,3.05
-poolformer_s36,1233.24,830.321,1024,224,5.0,15.82,30.86
-hrnet_w30,1225.12,835.817,1024,224,8.15,21.21,37.71
-swin_s3_tiny_224,1200.23,853.151,1024,224,4.64,19.13,28.33
-vit_tiny_patch16_384,1196.63,855.72,1024,384,4.7,25.39,5.79
-vit_small_resnet50d_s16_224,1187.59,862.229,1024,224,13.48,24.82,57.53
-tf_efficientnet_lite4,1185.79,323.823,384,380,4.04,45.66,13.01
-resnest50d,1179.24,868.341,1024,224,5.4,14.36,27.48
-vgg19_bn,1171.24,437.132,512,224,19.66,14.86,143.68
-regnetx_064,1170.17,437.532,512,224,6.49,16.37,26.21
-nf_regnet_b4,1167.32,877.209,1024,384,4.7,28.61,30.21
-xcit_tiny_12_p16_384_dist,1163.91,879.777,1024,384,3.64,18.26,6.72
-efficientnetv2_s,1144.22,894.92,1024,384,8.44,35.77,21.46
-dla169,1134.2,902.821,1024,224,11.6,20.2,53.39
-regnetz_d8,1133.56,903.33,1024,320,6.19,37.08,23.37
-wide_resnet101_2,1128.84,907.11,1024,224,22.8,21.23,126.89
-gluon_resnext101_64x4d,1125.42,909.866,1024,224,15.52,31.21,83.46
-convnext_small,1123.49,911.428,1024,224,8.7,21.56,50.22
-xception65p,1116.94,458.382,512,299,13.91,52.48,39.82
-mixnet_l,1114.32,459.458,512,224,0.58,10.84,7.33
-resnet50_gn,1113.26,919.804,1024,224,4.14,11.11,25.56
-eca_nfnet_l0,1110.51,922.082,1024,288,7.12,17.29,24.14
-tf_efficientnetv2_s_in21ft1k,1107.38,924.691,1024,384,8.44,35.77,21.46
-nfnet_l0,1107.03,924.983,1024,288,7.13,17.29,35.07
-tf_efficientnetv2_s,1106.17,925.705,1024,384,8.44,35.77,21.46
-resnet200,1102.75,928.576,1024,224,15.07,32.19,64.67
-dpn98,1102.66,928.653,1024,224,11.73,25.2,61.57
-swin_v2_cr_tiny_224,1099.27,931.506,1024,224,4.66,30.64,28.33
-tf_mixnet_l,1097.03,466.699,512,224,0.58,10.84,7.33
-resnetrs101,1091.82,937.873,1024,288,13.56,28.53,63.62
-efficientnetv2_rw_s,1077.94,949.947,1024,384,8.72,38.03,23.94
-ens_adv_inception_resnet_v2,1069.64,957.319,1024,299,13.18,25.06,55.84
-inception_resnet_v2,1067.04,959.647,1024,299,13.18,25.06,55.84
-volo_d1_224,1051.19,974.121,1024,224,6.94,24.43,26.63
-coat_lite_small,1050.15,975.08,1024,224,3.96,22.09,19.84
-nest_tiny,1050.07,487.574,512,224,5.83,25.48,17.06
-dla102x2,1042.76,490.987,512,224,9.34,29.91,41.28
-swin_v2_cr_tiny_ns_224,1041.51,983.175,1024,224,4.66,30.64,28.33
-gluon_seresnext101_64x4d,1039.57,985.01,1024,224,15.53,31.25,88.23
-jx_nest_tiny,1035.76,494.311,512,224,5.83,25.48,17.06
-ssl_resnext101_32x8d,1034.73,989.616,1024,224,16.48,31.21,88.79
-ig_resnext101_32x8d,1034.2,990.121,1024,224,16.48,31.21,88.79
-regnetz_040,1033.76,371.447,384,320,6.35,37.78,27.12
-swsl_resnext101_32x8d,1032.69,991.574,1024,224,16.48,31.21,88.79
-crossvit_18_240,1032.44,991.813,1024,240,9.05,26.26,43.27
-resnext101_32x8d,1032.2,992.04,1024,224,16.48,31.21,88.79
-vit_base_patch16_224_miil,1029.44,994.703,1024,224,17.58,23.9,86.54
-regnetz_040h,1028.74,373.26,384,320,6.43,37.94,28.94
-crossvit_18_dagger_240,1009.42,1014.425,1024,240,9.5,27.03,44.27
-deit_base_patch16_224,1007.07,1016.797,1024,224,17.58,23.9,86.57
-repvgg_b3,1006.51,1017.356,1024,224,29.16,15.1,123.09
-regnetz_d32,1003.93,1019.976,1024,320,9.33,37.08,27.58
-resnet101d,1003.08,1020.84,1024,320,16.48,34.77,44.57
-vit_base_patch16_224,1001.4,1022.55,1024,224,17.58,23.9,86.57
-vit_base_patch16_224_sam,1001.03,1022.936,1024,224,17.58,23.9,86.57
-deit_base_distilled_patch16_224,991.69,1032.561,1024,224,17.68,24.05,87.34
-hrnet_w40,985.45,1039.098,1024,224,12.75,25.29,57.56
-resnest50d_4s2x40d,982.63,1042.082,1024,224,4.4,17.94,30.42
-gluon_xception65,976.14,524.501,512,299,13.96,52.48,39.92
-xception65,967.24,529.329,512,299,13.96,52.48,39.92
-efficientnet_b4,965.42,397.741,384,384,4.51,50.04,19.34
-xcit_small_24_p16_224_dist,951.37,1076.325,1024,224,9.1,23.64,47.67
-xcit_small_24_p16_224,950.22,1077.629,1024,224,9.1,23.64,47.67
-cait_xxs36_224,935.04,1095.127,1024,224,3.77,30.34,17.3
-twins_pcpvt_base,931.12,1099.735,1024,224,6.68,25.25,43.83
-beit_base_patch16_224,922.95,1109.472,1024,224,17.58,23.9,86.53
-twins_svt_base,918.68,1114.635,1024,224,8.59,26.33,56.07
-regnetz_b16_evos,915.33,559.349,512,288,2.36,16.43,9.74
-tf_efficientnet_b4,914.19,420.029,384,380,4.49,49.49,19.34
-tf_efficientnet_b4_ap,913.49,420.352,384,380,4.49,49.49,19.34
-tf_efficientnet_b4_ns,913.14,420.511,384,380,4.49,49.49,19.34
-hrnet_w48,884.3,1157.963,1024,224,17.34,28.56,77.47
-xcit_tiny_12_p8_224_dist,876.78,1167.888,1024,224,4.81,23.6,6.71
-xcit_tiny_12_p8_224,875.61,1169.457,1024,224,4.81,23.6,6.71
-pit_b_224,856.55,597.735,512,224,12.42,32.94,73.76
-pit_b_distilled_224,853.55,599.838,512,224,12.5,33.07,74.79
-poolformer_m36,851.1,1203.131,1024,224,8.8,22.02,56.17
-regnetv_040,850.32,602.11,512,288,6.6,20.3,20.64
-regnety_040,849.8,602.48,512,288,6.61,20.3,20.65
-nfnet_f0,847.6,1208.099,1024,256,12.62,18.05,71.49
-swin_small_patch4_window7_224,843.82,1213.517,1024,224,8.77,27.47,49.61
-convnext_base,830.25,1233.341,1024,224,15.38,28.75,88.59
-convnext_small_in22ft1k,830.17,1233.46,1024,224,15.38,28.75,88.59
-convnext_tiny_in22ft1k,829.7,1234.165,1024,224,15.38,28.75,88.59
-convnext_base_in22ft1k,829.03,1235.157,1024,224,15.38,28.75,88.59
-repvgg_b2g4,814.15,1257.742,1024,224,12.63,12.9,61.76
-dpn131,812.55,1260.217,1024,224,16.09,32.97,79.25
-resnetv2_50d_evos,809.41,1265.096,1024,288,7.15,19.7,25.59
-hrnet_w44,795.23,1287.667,1024,224,14.94,26.92,67.06
-vit_small_patch16_36x1_224,784.17,1305.822,1024,224,13.71,35.69,64.67
-regnetx_120,781.81,654.877,512,224,12.13,21.37,46.11
-cait_s24_224,780.6,1311.795,1024,224,9.35,40.58,46.92
-vit_small_patch16_18x2_224,769.43,1330.841,1024,224,13.71,35.69,64.67
-dm_nfnet_f0,760.88,1345.793,1024,256,12.62,18.05,71.49
-densenet264,753.79,1358.443,1024,224,12.95,12.8,72.69
-regnety_120,753.56,679.427,512,224,12.14,21.38,51.82
-mixnet_xl,753.01,679.926,512,224,0.93,14.57,11.9
-xception71,742.19,689.834,512,299,18.09,69.92,42.34
-hrnet_w64,727.09,1408.333,1024,224,28.97,35.09,128.06
-resnetv2_50d_gn,725.28,705.917,512,288,7.24,19.7,25.57
-coat_tiny,723.65,1415.036,1024,224,4.35,27.2,5.5
-resnet152d,715.97,1430.207,1024,320,24.08,47.67,60.21
-swin_v2_cr_small_224,712.21,1437.764,1024,224,9.08,53.85,49.7
-seresnet200d,707.7,1446.92,1024,256,20.01,43.15,71.86
-regnety_040s_gn,707.19,723.977,512,224,4.03,12.29,20.65
-dpn107,704.9,1452.679,1024,224,18.38,33.46,86.92
-ecaresnet200d,704.84,1452.788,1024,256,20.0,43.15,64.69
-nest_small,704.83,726.402,512,224,10.35,40.04,38.35
-vit_large_r50_s32_224,700.71,1461.355,1024,224,19.58,24.41,328.99
-twins_svt_large,699.68,1463.514,1024,224,15.15,35.1,99.27
-jx_nest_small,698.3,733.197,512,224,10.35,40.04,38.35
-cspresnext50_iabn,694.07,1475.332,1024,256,4.02,15.86,20.57
-xcit_medium_24_p16_224_dist,693.66,1476.222,1024,224,16.13,31.71,84.4
-xcit_medium_24_p16_224,693.5,1476.544,1024,224,16.13,31.71,84.4
-gmlp_b16_224,692.91,1477.808,1024,224,15.78,30.21,73.08
-legacy_senet154,690.74,1482.459,1024,224,20.77,38.69,115.09
-senet154,689.84,1484.377,1024,224,20.77,38.69,115.09
-gluon_senet154,689.77,1484.531,1024,224,20.77,38.69,115.09
-crossvit_base_240,684.4,748.083,512,240,21.22,36.33,105.03
-twins_pcpvt_large,680.47,1504.817,1024,224,9.84,35.82,60.99
-resnext101_64x4d,666.45,768.234,512,288,25.66,51.59,83.46
-swin_s3_small_224,656.61,779.751,512,224,9.43,37.84,49.74
-convit_base,655.73,1561.612,1024,224,17.52,31.77,86.54
-repvgg_b3g4,646.31,1584.364,1024,224,17.89,15.1,83.83
-poolformer_m48,642.41,1593.977,1024,224,11.59,29.17,73.47
-tresnet_l,639.72,1600.689,1024,224,10.88,11.9,55.99
-swin_base_patch4_window7_224,639.26,1601.834,1024,224,15.47,36.63,87.77
-regnetx_160,626.06,817.797,512,224,15.99,25.52,54.28
-resnetrs152,625.1,1638.117,1024,320,24.34,48.14,86.62
-xcit_tiny_24_p16_384_dist,621.13,1648.58,1024,384,6.87,34.29,12.12
-seresnet152d,620.78,1649.515,1024,320,24.09,47.72,66.84
-coat_mini,608.71,1682.243,1024,224,6.82,33.68,10.34
-ese_vovnet99b_iabn,608.1,1683.926,1024,224,16.49,11.27,63.2
-vit_small_patch16_384,607.86,842.292,512,384,15.52,50.78,22.2
-regnetz_e8,602.95,849.151,512,320,15.46,63.94,57.7
-xcit_small_12_p16_384_dist,602.09,1700.725,1024,384,14.14,36.51,26.25
-volo_d2_224,597.09,1714.97,1024,224,14.34,41.34,58.68
-regnetz_c16_evos,580.2,882.442,512,320,3.86,25.88,13.49
-convmixer_768_32,576.37,1776.613,1024,224,19.55,25.95,21.11
-resnest101e,575.52,889.616,512,256,13.38,28.66,48.28
-cspdarknet53_iabn,573.47,1785.619,1024,256,6.53,16.81,27.64
-seresnext101_32x8d,572.07,894.988,512,288,27.24,51.63,93.57
-vit_base_r50_s16_224,569.41,1798.351,1024,224,21.66,35.29,98.66
-vit_small_r26_s32_384,560.76,913.03,512,384,10.43,29.85,36.47
-seresnet269d,554.23,1847.585,1024,256,26.59,53.6,113.67
-swin_v2_cr_base_224,538.29,1902.296,1024,224,15.86,64.42,87.88
-regnety_080,536.66,954.035,512,288,13.22,29.69,39.18
-swin_s3_base_224,533.85,1918.136,1024,224,13.69,48.26,71.13
-nest_base,530.0,966.015,512,224,17.96,53.39,67.72
-resnet200d,526.88,1943.493,1024,320,31.25,67.33,64.69
-jx_nest_base,525.35,974.569,512,224,17.96,53.39,67.72
-tnt_s_patch16_224,505.53,2025.583,1024,224,5.24,24.37,23.76
-mixnet_xxl,492.29,780.014,384,224,2.04,23.43,23.96
-convnext_large,490.59,1043.624,512,224,34.4,43.13,197.77
-eca_nfnet_l1,490.41,2088.053,1024,320,14.92,34.42,41.41
-convnext_large_in22ft1k,490.13,1044.606,512,224,34.4,43.13,197.77
-efficientnetv2_m,477.19,2145.885,1024,416,18.6,67.5,54.14
-regnety_064,472.22,1084.235,512,288,10.56,27.11,30.58
-tresnet_xl,472.15,2168.776,1024,224,15.17,15.34,78.44
-regnetv_064,468.26,1093.388,512,288,10.55,27.11,30.58
-efficientnet_b5,463.45,552.358,256,456,10.46,98.86,30.39
-mixer_l16_224,463.3,2210.217,1024,224,44.6,41.69,208.2
-xcit_tiny_24_p8_224,462.46,2214.217,1024,224,9.21,45.39,12.11
-xcit_tiny_24_p8_224_dist,462.21,2215.442,1024,224,9.21,45.39,12.11
-vit_large_patch32_384,459.15,2230.179,1024,384,45.31,43.86,306.63
-halonet_h1,457.28,559.821,256,256,3.0,51.17,8.1
-xcit_small_12_p8_224,455.91,2246.02,1024,224,18.69,47.21,26.21
-xcit_small_12_p8_224_dist,455.51,2247.996,1024,224,18.69,47.21,26.21
-resnetrs200,453.26,2259.149,1024,320,31.51,67.81,93.21
-efficientnet_b3_gn,449.21,427.404,192,320,2.14,28.83,11.73
-tf_efficientnet_b5_ap,441.14,580.297,256,456,10.46,98.86,30.39
-tf_efficientnet_b5_ns,441.05,580.416,256,456,10.46,98.86,30.39
-tf_efficientnet_b5,440.89,580.636,256,456,10.46,98.86,30.39
-xcit_large_24_p16_224,417.51,2452.617,1024,224,35.86,47.27,189.1
-xcit_nano_12_p8_384_dist,417.42,2453.137,1024,384,6.34,46.08,3.05
-xcit_large_24_p16_224_dist,417.4,2453.255,1024,224,35.86,47.27,189.1
-volo_d3_224,417.39,2453.347,1024,224,20.78,60.09,86.33
-regnety_320,414.44,1235.374,512,224,32.34,30.26,145.05
-regnety_160,414.17,927.145,384,288,26.37,38.07,83.59
-tnt_b_patch16_224,396.88,2580.105,1024,224,14.09,39.01,65.41
-swin_large_patch4_window7_224,396.25,1292.106,512,224,34.53,54.94,196.53
-efficientnetv2_rw_m,389.13,1315.733,512,416,21.49,79.62,53.24
-efficientnet_b3_g8_gn,378.11,507.779,192,320,3.2,28.83,14.25
-regnetz_d8_evos,373.7,1370.081,512,320,7.03,38.92,23.46
-tf_efficientnetv2_m,353.46,1448.525,512,480,24.76,89.84,54.14
-tf_efficientnetv2_m_in21ft1k,352.72,1451.565,512,480,24.76,89.84,54.14
-ssl_resnext101_32x16d,347.36,1473.959,512,224,36.27,51.18,194.03
-swsl_resnext101_32x16d,347.19,1474.669,512,224,36.27,51.18,194.03
-ig_resnext101_32x16d,347.17,1474.756,512,224,36.27,51.18,194.03
-vit_large_patch16_224,339.67,3014.653,1024,224,61.6,63.52,304.33
-swin_v2_cr_large_224,336.96,1519.449,512,224,35.1,85.57,196.68
-convnext_xlarge_in22ft1k,334.18,1532.115,512,224,60.97,57.5,350.2
-vit_base_patch16_18x2_224,321.9,3181.054,1024,224,52.51,71.38,256.73
-tresnet_m_448,321.34,3186.673,1024,448,22.94,29.21,31.39
-xcit_small_24_p16_384_dist,319.79,3202.041,1024,384,26.72,68.58,47.67
-crossvit_15_dagger_408,313.07,817.69,256,408,21.45,95.05,28.5
-beit_large_patch16_224,311.42,3288.141,1024,224,61.6,63.52,304.43
-pnasnet5large,298.92,1284.602,384,331,25.04,92.89,86.06
-xcit_tiny_12_p8_384_dist,295.94,3460.2,1024,384,14.13,69.14,6.71
-ecaresnet269d,292.16,3504.88,1024,352,50.25,101.25,102.09
-nasnetalarge,292.11,1314.567,384,331,23.89,90.56,88.75
-nfnet_f1,287.25,3564.832,1024,320,35.97,46.77,132.63
-swin_v2_cr_tiny_384,285.61,896.314,256,384,15.36,179.92,28.33
-resnetrs270,285.53,3586.279,1024,352,51.13,105.48,129.86
-convnext_small_384_in22ft1k,283.44,1354.767,384,384,45.2,84.49,88.59
-convnext_tiny_384_in22ft1k,283.35,1355.207,384,384,45.2,84.49,88.59
-convnext_base_384_in22ft1k,283.27,1355.587,384,384,45.2,84.49,88.59
-volo_d4_224,276.66,3701.277,1024,224,44.34,80.22,192.96
-resnetv2_152x2_bit_teacher,275.55,1858.104,512,224,46.95,45.11,236.34
-volo_d1_384,274.17,1400.584,384,384,22.75,108.55,26.78
-efficientnet_b6,265.63,481.865,128,528,19.4,167.39,43.04
-regnetx_320,263.46,1457.527,384,224,31.81,36.3,107.81
-deit_base_patch16_384,263.34,1458.17,384,384,55.54,101.56,86.86
-vit_base_patch16_384,262.84,1460.977,384,384,55.54,101.56,86.86
-dm_nfnet_f1,261.73,3912.436,1024,320,35.97,46.77,132.63
-deit_base_distilled_patch16_384,259.59,1479.254,384,384,55.65,101.82,87.63
-tf_efficientnet_b6,254.04,503.851,128,528,19.4,167.39,43.04
-tf_efficientnet_b6_ap,253.95,504.02,128,528,19.4,167.39,43.04
-tf_efficientnet_b6_ns,253.88,504.17,128,528,19.4,167.39,43.04
-vit_large_patch14_224,249.95,4096.733,1024,224,81.08,88.79,304.2
-cait_xxs24_384,247.45,4138.198,1024,384,9.63,122.66,12.03
-xcit_small_24_p8_224,239.07,4283.263,1024,224,35.81,90.78,47.63
-xcit_small_24_p8_224_dist,239.0,4284.476,1024,224,35.81,90.78,47.63
-xcit_medium_24_p16_384_dist,238.18,2149.659,512,384,47.39,91.64,84.4
-eca_nfnet_l2,234.53,2183.088,512,384,30.05,68.28,56.72
-crossvit_18_dagger_408,234.0,820.485,192,408,32.47,124.87,44.61
-vit_large_r50_s32_384,229.73,1671.515,384,384,57.43,76.52,329.09
-beit_base_patch16_384,226.15,1697.971,384,384,55.54,101.56,86.74
-resmlp_big_24_224,204.41,5009.412,1024,224,100.23,87.31,129.14
-resmlp_big_24_224_in22ft1k,204.19,5014.99,1024,224,100.23,87.31,129.14
-resmlp_big_24_distilled_224,204.14,5016.18,1024,224,100.23,87.31,129.14
-resnest200e,198.33,2581.599,512,320,35.69,82.78,70.2
-resnetrs350,188.33,2718.619,512,384,77.59,154.74,163.96
-efficientnetv2_l,185.45,2760.873,512,480,56.4,157.99,118.52
-volo_d5_224,183.53,5579.332,1024,224,72.4,118.11,295.46
-tf_efficientnetv2_l,183.5,2790.123,512,480,56.4,157.99,118.52
-tf_efficientnetv2_l_in21ft1k,183.34,2792.665,512,480,56.4,157.99,118.52
-swin_v2_cr_small_384,182.55,1402.341,256,384,29.73,328.89,49.7
-swin_base_patch4_window12_384,176.96,1085.005,192,384,47.19,134.78,87.9
-xcit_medium_24_p8_224_dist,176.61,5798.18,1024,224,63.53,121.23,84.32
-xcit_medium_24_p8_224,176.56,5799.802,1024,224,63.53,121.23,84.32
-cait_xs24_384,175.88,2911.134,512,384,19.28,183.98,26.67
-vit_base_patch8_224,173.92,1471.961,256,224,78.22,161.69,86.58
-convnext_large_384_in22ft1k,167.45,1528.836,256,384,101.09,126.74,197.77
-cait_xxs36_384,165.77,6177.386,1024,384,14.35,183.7,17.37
-vit_base_resnet50_384,164.81,2329.882,384,384,67.43,135.03,98.95
-vit_base_r50_s16_384,164.76,2330.691,384,384,67.43,135.03,98.95
-densenet264d_iabn,164.43,6227.497,1024,224,13.47,14.0,72.74
-nfnet_f2,161.44,6342.864,1024,352,63.22,79.06,193.78
-efficientnet_b7,159.81,600.7,96,600,38.33,289.94,66.35
-swin_v2_cr_huge_224,158.24,2426.623,384,224,115.98,130.61,657.83
-volo_d2_384,157.29,1627.556,256,384,46.17,184.51,58.87
-xcit_tiny_24_p8_384_dist,155.86,6569.908,1024,384,27.05,132.95,12.11
-xcit_small_12_p8_384_dist,155.07,3301.621,512,384,54.92,138.29,26.21
-tf_efficientnet_b7,154.05,623.167,96,600,38.33,289.94,66.35
-tf_efficientnet_b7_ap,154.01,623.324,96,600,38.33,289.94,66.35
-tf_efficientnet_b7_ns,153.96,623.512,96,600,38.33,289.94,66.35
-tresnet_l_448,152.46,6716.506,1024,448,43.5,47.56,55.99
-dm_nfnet_f2,147.56,3469.794,512,352,63.22,79.06,193.78
-xcit_large_24_p16_384_dist,142.96,3581.333,512,384,105.35,137.17,189.1
-efficientnetv2_xl,140.5,2733.05,384,512,93.85,247.32,208.12
-tf_efficientnetv2_xl_in21ft1k,139.84,2745.956,384,512,93.85,247.32,208.12
-swin_v2_cr_base_384,136.74,1404.102,192,384,50.61,374.82,87.88
-vit_huge_patch14_224,136.63,7494.593,1024,224,167.4,139.41,632.05
-cait_s24_384,136.25,3757.768,512,384,32.17,245.31,47.06
-resnetrs420,133.09,3846.971,512,416,108.45,213.79,191.89
-eca_nfnet_l3,123.63,4141.303,512,448,52.55,118.4,72.04
-convnext_xlarge_384_in22ft1k,114.1,1682.671,192,384,179.18,168.99,350.2
-tresnet_xl_448,113.35,9034.224,1024,448,60.65,61.31,78.44
-swin_large_patch4_window12_384,111.26,1150.4,128,384,104.08,202.16,196.74
-efficientnet_cc_b0_4e,107.9,9.259,1,224,0.41,9.42,13.31
-xcit_large_24_p8_224,106.51,4807.053,512,224,141.23,181.56,188.93
-xcit_large_24_p8_224_dist,106.39,4812.62,512,224,141.23,181.56,188.93
-tf_efficientnet_cc_b0_4e,105.13,9.503,1,224,0.41,9.42,13.31
-tf_efficientnet_cc_b0_8e,101.03,9.888,1,224,0.42,9.42,24.01
-efficientnet_cc_b0_8e,100.58,9.933,1,224,0.42,9.42,24.01
-efficientnet_b8,97.89,980.672,96,672,63.48,442.89,87.41
-resnetv2_152x2_bit_teacher_384,95.58,2678.506,256,384,136.16,132.56,236.34
-tf_efficientnet_b8,94.94,1011.165,96,672,63.48,442.89,87.41
-tf_efficientnet_b8_ap,94.88,1011.773,96,672,63.48,442.89,87.41
-resnest269e,92.66,4144.14,384,416,77.69,171.98,110.93
-resnetv2_50x3_bitm,91.89,1392.952,128,448,145.7,133.37,217.32
-cait_s36_384,91.13,5618.401,512,384,47.99,367.4,68.37
-vit_large_patch16_384,91.02,2812.461,256,384,191.21,270.24,304.72
-vit_giant_patch14_224,90.41,5663.146,512,224,267.18,192.64,1012.61
-swin_v2_cr_large_384,87.0,1471.203,128,384,109.02,466.67,196.68
-nfnet_f3,83.54,6128.872,512,416,115.58,141.78,254.92
-convmixer_1024_20_ks9_p14,82.81,12365.256,1024,224,5.55,5.51,24.38
-xcit_small_24_p8_384_dist,81.31,6296.644,512,384,105.24,265.91,47.63
-beit_large_patch16_384,78.92,3243.632,256,384,191.21,270.24,305.0
-dm_nfnet_f3,76.98,6650.815,512,416,115.58,141.78,254.92
-efficientnet_cc_b1_8e,74.31,13.446,1,240,0.75,15.44,39.72
-tf_efficientnet_cc_b1_8e,71.55,13.966,1,240,0.75,15.44,39.72
-resnetv2_152x2_bitm,70.29,2731.662,192,448,184.99,180.43,236.34
-volo_d3_448,69.5,2762.392,192,448,96.33,446.83,86.63
-xcit_medium_24_p8_384_dist,60.36,4241.495,256,384,186.67,354.73,84.32
-resnetv2_101x3_bitm,56.99,2245.848,128,448,280.33,194.78,387.93
-vit_gigantic_patch14_224,54.97,6985.565,384,224,483.95,275.37,1844.44
-volo_d4_448,52.04,3689.433,192,448,197.13,527.35,193.41
-swin_v2_cr_giant_224,47.35,2703.077,128,224,483.88,342.95,2598.76
-nfnet_f4,45.03,8527.847,384,512,216.26,262.26,316.07
-dm_nfnet_f4,41.28,9302.917,384,512,216.26,262.26,316.07
-swin_v2_cr_huge_384,40.59,1576.755,64,384,352.16,696.31,657.94
-xcit_large_24_p8_384_dist,36.24,5297.999,192,384,415.0,531.82,188.93
-volo_d5_448,36.04,3551.639,128,448,315.06,737.92,295.91
-nfnet_f5,33.24,11553.271,384,544,290.97,349.71,377.21
-beit_large_patch16_512,32.09,2991.564,96,512,362.24,656.39,305.67
-dm_nfnet_f5,31.46,8137.719,256,544,290.97,349.71,377.21
-cait_m36_384,30.85,8298.098,256,384,173.11,734.81,271.22
-nfnet_f6,25.52,10030.043,256,576,378.69,452.2,438.36
-volo_d5_512,25.24,5072.088,128,512,425.09,1105.37,296.09
-dm_nfnet_f6,23.36,10959.027,256,576,378.69,452.2,438.36
-nfnet_f7,20.08,9559.462,192,608,480.39,570.85,499.5
-resnetv2_152x4_bitm,18.1,3536.743,64,480,844.84,414.26,936.53
-convmixer_1536_20,13.52,75763.376,1024,224,48.68,33.03,51.63
-cait_m48_448,13.31,9617.788,128,448,329.41,1708.23,356.46
-swin_v2_cr_giant_384,13.19,2426.875,32,384,1451.0,1686.82,2598.76
diff --git a/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
new file mode 100644
index 00000000..e33d9c36
--- /dev/null
+++ b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
@@ -0,0 +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
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+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
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+ssl_resnet18,11027.01,92.852,1024,224,11.69
+resnet18,11023.6,92.881,1024,224,11.69
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+semnasnet_075,10953.15,93.479,1024,224,2.91
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+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
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+levit_256,9580.42,106.874,1024,224,18.89
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+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
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+selecsls42,5796.58,176.643,1024,224,30.35
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+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
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+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
diff --git a/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv b/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv
deleted file mode 100644
index f13f2980..00000000
--- a/results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv
+++ /dev/null
@@ -1,756 +0,0 @@
-model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
-tinynet_e,8879.06,56.99,512,106,2.04
-mobilenetv3_small_050,6486.16,78.215,512,224,1.59
-tf_mobilenetv3_small_minimal_100,6286.95,80.898,512,224,2.04
-lcnet_035,5388.39,94.526,512,224,1.64
-levit_128s,5340.79,94.942,512,224,7.78
-mobilenetv3_small_075,5188.12,97.983,512,224,2.04
-lcnet_050,4931.51,103.34,512,224,1.88
-tf_mobilenetv3_small_075,4918.54,103.391,512,224,2.04
-mobilenetv3_small_100,4776.47,106.481,512,224,2.54
-tf_mobilenetv3_small_100,4548.9,111.828,512,224,2.54
-tinynet_d,4535.94,112.125,512,152,2.34
-mixer_s32_224,4002.68,127.361,512,224,19.1
-levit_128,3906.35,129.937,512,224,9.21
-vit_small_patch32_224,3720.28,136.814,512,224,22.88
-lcnet_075,3708.14,137.591,512,224,2.36
-vit_tiny_r_s16_p8_224,3450.55,147.535,512,224,6.34
-regnetx_002,3409.48,149.489,512,224,2.68
-levit_192,3369.4,150.83,512,224,10.95
-mnasnet_small,3194.94,159.346,512,224,2.03
-regnety_002,3152.93,161.41,512,224,3.16
-lcnet_100,3112.12,164.023,512,224,2.95
-mobilenetv2_035,3034.35,167.951,512,224,1.68
-gernet_s,2945.06,173.156,512,224,8.17
-gluon_resnet18_v1b,2722.13,187.746,512,224,11.69
-resnet18,2720.28,187.878,512,224,11.69
-swsl_resnet18,2718.44,187.99,512,224,11.69
-ssl_resnet18,2711.89,188.46,512,224,11.69
-mobilenetv2_050,2618.63,194.751,512,224,1.97
-levit_256,2590.96,196.476,512,224,18.89
-semnasnet_050,2528.95,201.569,512,224,2.08
-regnetx_004,2522.75,201.894,512,224,5.16
-mnasnet_050,2522.58,202.188,512,224,2.22
-seresnet18,2507.84,203.663,512,224,11.78
-ese_vovnet19b_slim_dw,2471.49,206.677,512,224,1.9
-legacy_seresnet18,2441.93,209.163,512,224,11.78
-tinynet_c,2430.81,209.624,512,184,2.46
-tf_mobilenetv3_large_minimal_100,2297.77,222.108,512,224,3.92
-lcnet_150,2274.7,224.596,512,224,4.5
-levit_256d,2246.11,226.444,512,224,26.21
-ghostnet_050,2164.08,235.253,512,224,2.59
-mobilenetv3_large_075,2163.25,235.816,512,224,3.99
-resnet18d,2077.18,246.121,512,224,11.71
-tf_mobilenetv3_large_075,2064.86,247.051,512,224,3.99
-regnetx_006,2039.62,250.217,512,224,6.2
-ese_vovnet19b_slim,2002.06,255.364,512,224,3.17
-mobilenetv3_rw,1974.38,258.462,512,224,5.48
-mobilenetv3_large_100_miil,1968.34,259.245,512,224,5.48
-mobilenetv3_large_100,1965.11,259.678,512,224,5.48
-mnasnet_075,1898.08,268.968,512,224,3.17
-mobilenetv2_075,1880.91,271.408,512,224,2.64
-tf_mobilenetv3_large_100,1872.32,272.582,512,224,5.48
-tf_efficientnetv2_b0,1868.24,272.852,512,224,7.14
-resnetblur18,1851.92,276.12,512,224,11.69
-regnety_004,1839.55,277.22,512,224,4.34
-semnasnet_075,1812.64,281.537,512,224,2.91
-regnety_006,1807.53,282.196,512,224,6.06
-skresnet18,1781.57,286.76,512,224,11.96
-mobilenetv2_100,1759.59,290.188,512,224,3.5
-mnasnet_b1,1711.38,298.386,512,224,4.38
-mnasnet_100,1703.75,299.741,512,224,4.38
-vit_tiny_patch16_224,1703.5,299.738,512,224,5.72
-deit_tiny_patch16_224,1700.58,300.234,512,224,5.72
-tinynet_b,1695.36,300.958,512,188,3.73
-hardcorenas_a,1688.73,302.486,512,224,5.26
-hardcorenas_b,1681.38,303.598,512,224,5.18
-deit_tiny_distilled_patch16_224,1676.33,304.592,512,224,5.91
-regnetx_008,1660.21,307.58,512,224,7.26
-semnasnet_100,1660.21,307.494,512,224,3.89
-mnasnet_a1,1660.16,307.488,512,224,3.89
-levit_384,1645.5,310.035,512,224,39.13
-visformer_tiny,1629.45,313.55,512,224,10.32
-gluon_resnet34_v1b,1628.8,313.768,512,224,21.8
-tv_resnet34,1628.63,313.804,512,224,21.8
-resnet34,1618.43,315.788,512,224,21.8
-mixer_b32_224,1614.41,316.375,512,224,60.29
-hardcorenas_c,1606.09,317.82,512,224,5.52
-spnasnet_100,1581.9,322.7,512,224,4.42
-hardcorenas_d,1573.64,324.168,512,224,7.5
-pit_ti_distilled_224,1567.79,325.678,512,224,5.1
-pit_ti_224,1567.05,325.843,512,224,4.85
-vit_base_patch32_224,1566.16,326.106,512,224,88.22
-vit_base_patch32_224_sam,1565.94,326.137,512,224,88.22
-ghostnet_100,1561.28,326.61,512,224,5.18
-regnety_008,1549.78,329.38,512,224,6.26
-resmlp_12_distilled_224,1540.69,331.527,512,224,15.35
-resmlp_12_224,1540.68,331.535,512,224,15.35
-seresnet34,1491.24,342.456,512,224,21.96
-nf_regnet_b0,1463.76,348.603,512,256,8.76
-gernet_m,1452.99,351.696,512,224,21.14
-legacy_seresnet34,1444.09,353.657,512,224,21.96
-ese_vovnet19b_dw,1432.57,356.897,512,224,6.54
-nf_resnet26,1427.35,358.203,512,224,16.0
-tinynet_a,1409.24,362.071,512,192,6.19
-dla46_c,1404.15,363.911,512,224,1.3
-rexnetr_100,1384.43,276.261,384,224,4.88
-mobilenetv2_110d,1383.76,276.51,384,224,4.52
-efficientnet_lite0,1382.82,369.515,512,224,4.65
-rexnet_100,1378.22,277.499,384,224,4.8
-resnet34d,1368.6,373.438,512,224,21.82
-hardcorenas_f,1363.96,374.257,512,224,8.2
-xcit_nano_12_p16_224_dist,1357.57,375.351,512,224,3.05
-xcit_nano_12_p16_224,1356.26,375.722,512,224,3.05
-selecsls42,1352.83,377.829,512,224,30.35
-ghostnet_130,1348.59,378.322,512,224,7.36
-selecsls42b,1347.97,379.197,512,224,32.46
-mixer_s16_224,1328.86,384.74,512,224,18.53
-tf_efficientnet_lite0,1326.3,385.288,512,224,4.65
-regnetz_005,1322.96,385.624,512,224,7.12
-resnet26,1320.55,387.258,512,224,16.0
-hardcorenas_e,1317.58,387.482,512,224,8.07
-hrnet_w18_small,1302.47,391.734,512,224,13.19
-pit_xs_distilled_224,1268.5,402.739,512,224,11.0
-pit_xs_224,1268.42,402.775,512,224,10.62
-fbnetc_100,1266.68,403.231,512,224,5.57
-mnasnet_140,1263.67,404.387,512,224,7.12
-mobilenetv2_140,1253.56,305.536,384,224,6.11
-vit_small_patch32_384,1234.94,413.769,512,384,22.92
-efficientnet_b0,1229.26,311.326,384,224,5.29
-poolformer_s12,1218.66,419.43,512,224,11.92
-semnasnet_140,1213.3,421.085,512,224,6.11
-nf_seresnet26,1200.27,425.903,512,224,17.4
-vit_tiny_r_s16_p8_384,1194.12,320.732,384,384,6.36
-tf_efficientnetv2_b1,1189.33,321.432,384,240,8.14
-gmixer_12_224,1181.89,432.408,512,224,12.7
-repvgg_b0,1180.49,432.688,512,224,15.82
-tf_efficientnet_b0_ap,1177.13,325.127,384,224,5.29
-tf_efficientnet_b0,1176.58,325.256,384,224,5.29
-tf_efficientnet_b0_ns,1176.09,325.406,384,224,5.29
-efficientnet_b1_pruned,1160.78,439.616,512,240,6.33
-selecsls60,1153.95,442.796,512,224,30.67
-selecsls60b,1150.77,444.044,512,224,32.77
-resnet26d,1125.05,454.584,512,224,16.01
-nf_ecaresnet26,1118.2,457.322,512,224,16.0
-mixnet_s,1099.59,464.39,512,224,4.13
-rexnetr_130,1097.48,232.14,256,224,7.61
-dla34,1070.28,477.798,512,224,15.74
-dla46x_c,1057.9,483.219,512,224,1.07
-rexnet_130,1047.2,243.344,256,224,7.56
-regnetx_016,1042.62,490.182,512,224,9.19
-tf_mixnet_s,1040.0,491.07,512,224,4.13
-mobilenetv2_120d,1039.92,245.01,256,224,5.83
-skresnet34,1030.78,495.577,512,224,22.28
-dla60x_c,1018.3,501.873,512,224,1.32
-ecaresnet50d_pruned,1010.79,505.611,512,224,19.94
-gernet_l,1008.74,506.703,512,256,31.08
-mobilevit_xxs,994.64,384.944,384,256,1.27
-xcit_tiny_12_p16_224,994.0,513.339,512,224,6.72
-xcit_tiny_12_p16_224_dist,993.15,513.793,512,224,6.72
-efficientnet_b0_g16_evos,992.08,385.991,384,224,8.11
-rexnetr_150,974.49,261.552,256,224,9.78
-convnext_nano_hnf,957.8,400.126,384,224,15.59
-crossvit_tiny_240,953.54,401.134,384,240,7.01
-crossvit_9_240,948.17,403.562,384,240,8.55
-rexnet_150,931.33,273.747,256,224,9.73
-vit_base2_patch32_256,930.69,549.32,512,256,119.46
-repvgg_a2,930.45,549.419,512,224,28.21
-legacy_seresnext26_32x4d,924.87,552.965,512,224,16.79
-regnety_016,921.92,553.59,512,224,11.2
-efficientnet_lite1,920.32,277.193,256,240,5.42
-gmlp_ti16_224,915.04,418.12,384,224,5.87
-convit_tiny,914.83,418.772,384,224,5.71
-efficientnet_es_pruned,914.62,559.049,512,224,5.44
-crossvit_9_dagger_240,914.01,418.663,384,240,8.78
-efficientnet_es,913.84,559.524,512,224,5.44
-resnest14d,902.54,566.834,512,224,10.61
-tf_efficientnet_es,895.9,570.736,512,224,5.44
-vit_small_patch16_224,886.44,432.354,384,224,22.05
-deit_small_patch16_224,886.38,432.371,384,224,22.05
-resnetv2_50,885.9,577.167,512,224,25.55
-tf_efficientnet_lite1,884.99,288.297,256,240,5.42
-resnext26ts,882.6,434.57,384,256,10.3
-resnet26t,880.32,581.109,512,256,16.01
-nf_regnet_b1,876.86,582.443,512,288,10.22
-tf_efficientnetv2_b2,873.82,291.458,256,260,10.1
-nf_regnet_b2,872.25,585.395,512,272,14.31
-deit_small_distilled_patch16_224,870.96,440.043,384,224,22.44
-eca_resnext26ts,854.22,299.135,256,256,10.3
-seresnext26ts,848.06,301.208,256,256,10.39
-gluon_resnet50_v1b,836.3,458.36,384,224,25.56
-swsl_resnet50,836.28,458.365,384,224,25.56
-tv_resnet50,835.63,458.72,384,224,25.56
-resnet50,833.11,460.106,384,224,25.56
-botnet26t_256,831.36,461.332,384,256,12.49
-ssl_resnet50,830.95,461.318,384,224,25.56
-gcresnext26ts,830.68,307.354,256,256,10.48
-seresnext26tn_32x4d,830.61,461.636,384,224,16.81
-seresnext26t_32x4d,830.27,461.827,384,224,16.81
-seresnext26d_32x4d,828.27,462.949,384,224,16.81
-pit_s_224,823.52,309.982,256,224,23.46
-vgg11,823.03,621.921,512,224,132.86
-pit_s_distilled_224,820.99,310.896,256,224,24.04
-halonet26t,808.46,474.411,384,256,12.48
-eca_botnext26ts_256,804.84,317.488,256,256,10.59
-vit_small_resnet26d_224,799.3,479.391,384,224,63.61
-resnetv2_50t,795.78,642.594,512,224,25.57
-ecaresnext26t_32x4d,794.24,482.933,384,224,15.41
-resnetv2_50d,793.28,644.617,512,224,25.57
-ecaresnext50t_32x4d,791.08,484.877,384,224,15.41
-tresnet_m,787.35,647.607,512,224,31.39
-vovnet39a,782.12,654.018,512,224,22.6
-efficientnet_b0_gn,780.55,326.912,256,224,5.29
-fbnetv3_d,780.39,326.274,256,256,10.31
-eca_halonext26ts,780.25,327.496,256,256,10.76
-fbnetv3_b,780.18,490.58,384,256,8.6
-cspresnet50,779.41,491.838,384,256,21.62
-ecaresnet101d_pruned,774.28,659.497,512,224,24.88
-efficientnet_cc_b0_8e,770.73,497.068,384,224,24.01
-gluon_resnet50_v1c,770.17,497.757,384,224,25.58
-efficientnet_cc_b0_4e,768.45,498.536,384,224,13.31
-ecaresnetlight,767.52,666.18,512,224,30.16
-cspresnext50,767.32,499.601,384,224,20.57
-mixnet_m,767.21,499.005,384,224,5.01
-efficientnet_b2_pruned,763.33,333.903,256,260,8.31
-resnet50t,754.86,507.852,384,224,25.57
-gluon_resnet50_v1d,754.57,508.055,384,224,25.58
-resnet50d,753.37,508.854,384,224,25.58
-resmlp_24_224,752.46,338.709,256,224,30.02
-resmlp_24_distilled_224,751.46,339.201,256,224,30.02
-ese_vovnet39b,748.27,512.528,384,224,24.57
-tf_efficientnet_cc_b0_8e,747.26,512.722,384,224,24.01
-tf_efficientnet_cc_b0_4e,746.74,513.086,384,224,13.31
-resnet32ts,744.48,343.29,256,256,17.96
-visformer_small,743.67,515.696,384,224,40.22
-legacy_seresnet50,743.56,515.327,384,224,28.09
-dpn68b,738.91,518.504,384,224,12.61
-selecsls84,736.93,693.544,512,224,50.95
-resnet33ts,736.41,347.04,256,256,19.68
-tf_mixnet_m,730.05,524.465,384,224,5.01
-nf_seresnet50,727.19,526.873,384,224,28.09
-rexnetr_200,725.21,263.618,192,224,16.52
-res2net50_48w_2s,723.44,529.975,384,224,25.29
-dpn68,721.43,531.156,384,224,12.61
-lambda_resnet26t,720.18,532.596,384,256,10.96
-seresnet50,719.22,532.776,384,224,28.09
-tf_efficientnet_b1_ns,717.68,355.196,256,240,7.79
-tf_efficientnet_b1,717.65,355.204,256,240,7.79
-tf_efficientnet_b1_ap,717.6,355.242,256,240,7.79
-eca_resnet33ts,713.27,358.233,256,256,19.68
-bat_resnext26ts,709.94,359.448,256,256,10.73
-seresnet33ts,708.46,360.554,256,256,19.78
-resnetblur50,706.03,543.087,384,224,25.56
-cspresnet50d,704.69,544.074,384,256,21.64
-rexnet_200,702.3,272.253,192,224,16.37
-eca_vovnet39b,698.49,732.369,512,224,22.6
-cspresnet50w,698.43,548.944,384,256,28.12
-dla60,695.38,551.258,384,224,22.04
-efficientnet_b1,694.5,367.105,256,256,7.79
-efficientnet_lite2,691.09,369.477,256,260,6.09
-tv_densenet121,688.36,370.145,256,224,7.98
-vgg11_bn,688.31,371.701,256,224,132.87
-gcresnet33ts,687.54,371.346,256,256,19.88
-densenet121,686.73,371.056,256,224,7.98
-resnest26d,682.74,561.689,384,224,17.07
-resnetaa50d,680.45,563.474,384,224,25.58
-gluon_resnet50_v1s,673.44,569.389,384,224,25.68
-hrnet_w18_small_v2,669.83,761.985,512,224,15.6
-nf_ecaresnet50,669.55,572.548,384,224,25.56
-tf_efficientnet_lite2,667.12,382.773,256,260,6.09
-vit_base_resnet26d_224,663.97,577.082,384,224,101.4
-vit_small_r26_s32_224,661.78,385.595,256,224,36.43
-lambda_resnet26rpt_256,660.67,193.152,128,256,10.99
-efficientnet_b0_g8_gn,657.99,387.987,256,224,6.56
-seresnet50t,654.75,389.823,256,224,28.1
-resnext50_32x4d,651.94,588.217,384,224,25.03
-swsl_resnext50_32x4d,651.54,588.552,384,224,25.03
-gluon_resnext50_32x4d,651.5,588.601,384,224,25.03
-ssl_resnext50_32x4d,651.06,588.971,384,224,25.03
-tv_resnext50_32x4d,651.04,589.025,384,224,25.03
-haloregnetz_b,649.9,392.411,256,224,11.68
-resnetrs50,647.82,591.571,384,224,35.69
-regnetx_032,644.99,594.128,384,224,15.3
-resnetblur50d,643.36,397.048,256,224,25.58
-densenet121d,640.21,398.026,256,224,8.0
-mobilevit_xs,636.32,300.601,192,256,2.32
-res2net50_26w_4s,636.08,401.175,256,224,25.7
-ese_vovnet57b,632.89,605.833,384,224,38.61
-convnext_tiny_hnf,631.3,404.531,256,224,28.59
-skresnet50,629.62,405.227,256,224,25.8
-densenetblur121d,620.91,410.489,256,224,8.0
-poolformer_s24,618.55,412.632,256,224,21.39
-ecaresnet50d,617.9,413.387,256,224,25.58
-gluon_inception_v3,602.04,636.443,384,299,23.83
-tf_inception_v3,601.78,636.737,384,299,23.83
-resnext50d_32x4d,599.81,425.968,256,224,25.05
-adv_inception_v3,598.91,639.776,384,299,23.83
-inception_v3,597.68,641.096,384,299,23.83
-seresnetaa50d,595.51,428.742,256,224,28.11
-sehalonet33ts,593.18,430.755,256,256,13.69
-coat_lite_tiny,588.45,651.687,384,224,5.72
-efficientnet_b3_pruned,588.04,433.698,256,300,9.86
-mixnet_l,587.47,434.23,256,224,7.33
-gmixer_24_224,586.46,435.043,256,224,24.72
-gcresnet50t,584.74,436.344,256,256,25.9
-vovnet57a,583.53,876.573,512,224,36.64
-skresnet50d,581.8,438.63,256,224,25.82
-resnetv2_50x1_bit_distilled,579.51,330.493,192,224,25.55
-res2next50,576.25,443.0,256,224,24.67
-seresnext50_32x4d,575.09,444.01,256,224,27.56
-cspresnext50_iabn,574.6,666.024,384,256,20.57
-legacy_seresnext50_32x4d,573.45,445.299,256,224,27.56
-res2net50_14w_8s,572.23,445.23,256,224,25.06
-gluon_seresnext50_32x4d,572.14,446.313,256,224,27.56
-repvgg_b1g4,571.09,895.496,512,224,39.97
-convnext_tiny,568.67,449.214,256,224,28.59
-resnest50d_1s4x24d,568.37,449.124,256,224,25.68
-vgg13,565.29,679.111,384,224,133.05
-densenet169,564.44,451.109,256,224,14.15
-coat_lite_mini,560.18,684.613,384,224,11.01
-tf_mixnet_l,559.29,456.201,256,224,7.33
-dla60_res2net,558.91,456.605,256,224,20.85
-darknet53,555.4,460.146,256,256,41.61
-dla60x,553.72,461.36,256,224,17.35
-efficientnet_em,553.62,692.657,384,240,6.9
-regnetx_040,551.95,694.615,384,224,22.12
-tf_efficientnet_em,550.96,463.679,256,240,6.9
-nf_resnet101,550.06,696.472,384,224,44.55
-nf_regnet_b3,545.32,467.686,256,320,18.59
-tf_efficientnet_b2_ns,542.89,352.148,192,260,9.11
-tf_efficientnet_b2_ap,542.72,352.279,192,260,9.11
-tf_efficientnet_b2,542.33,352.563,192,260,9.11
-resnetv2_101,541.77,470.948,256,224,44.54
-tf_efficientnetv2_b3,537.24,355.668,192,300,14.36
-gcresnext50ts,536.7,356.26,192,256,15.67
-nf_resnet50,535.99,715.561,384,288,25.56
-xcit_small_12_p16_224_dist,535.18,476.598,256,224,26.25
-xcit_small_12_p16_224,535.12,476.63,256,224,26.25
-sebotnet33ts_256,533.03,239.342,128,256,13.7
-efficientnetv2_rw_t,527.89,361.618,192,288,13.65
-resnet101,526.2,484.988,256,224,44.55
-twins_svt_small,526.18,484.993,256,224,24.06
-tv_resnet101,525.84,485.332,256,224,44.55
-resnet50_gn,525.26,364.696,192,224,25.56
-gluon_resnet101_v1b,524.51,486.543,256,224,44.55
-mobilevit_s,521.06,367.349,192,256,5.58
-crossvit_small_240,519.76,367.784,192,240,26.86
-xcit_tiny_24_p16_224,519.69,489.334,256,224,12.12
-xcit_tiny_24_p16_224_dist,519.36,489.596,256,224,12.12
-vit_base_r26_s32_224,518.41,369.094,192,224,101.38
-mixer_b16_224,512.16,499.054,256,224,59.88
-mixer_b16_224_miil,512.15,499.069,256,224,59.88
-gmlp_s16_224,510.63,374.487,192,224,19.42
-resnetv2_101d,506.75,503.627,256,224,44.56
-vit_base_resnet50d_224,506.41,503.941,256,224,110.97
-dla60_res2next,504.89,505.645,256,224,17.03
-vit_base_patch32_384,503.41,507.725,256,384,88.3
-repvgg_b1,499.68,1023.594,512,224,57.42
-resmlp_36_distilled_224,499.65,382.104,192,224,44.69
-resmlp_36_224,499.61,382.157,192,224,44.69
-gluon_resnet101_v1c,499.33,511.143,256,224,44.57
-vit_large_patch32_224,498.76,511.726,256,224,306.54
-efficientnet_b2a,498.46,383.699,192,288,9.11
-efficientnet_b2,498.23,383.892,192,288,9.11
-semobilevit_s,498.08,384.196,192,256,5.74
-wide_resnet50_2,492.85,518.616,256,224,68.88
-gluon_resnet101_v1d,492.69,518.053,256,224,44.57
-mixer_l32_224,486.84,392.903,192,224,206.94
-efficientnet_cc_b1_8e,485.45,525.706,256,240,39.72
-cspdarknet53,485.41,526.351,256,256,27.64
-gc_efficientnetv2_rw_t,484.77,393.323,192,288,13.68
-cait_xxs24_224,483.07,527.475,256,224,11.96
-resnest50d,481.14,530.778,256,224,27.48
-res2net50_26w_6s,478.7,533.037,256,224,37.05
-crossvit_15_240,477.76,400.069,192,240,27.53
-dla102,477.62,534.469,256,224,33.27
-ecaresnet26t,476.78,536.378,256,320,16.01
-regnetz_b16,474.17,403.475,192,288,9.72
-tf_efficientnet_cc_b1_8e,473.85,538.615,256,240,39.72
-xcit_nano_12_p16_384_dist,473.63,538.718,256,384,3.05
-cspdarknet53_iabn,473.06,809.288,384,256,27.64
-convnext_tiny_hnfd,470.51,543.084,256,224,28.63
-vgg13_bn,465.58,549.581,256,224,133.05
-vgg16,464.87,825.812,384,224,138.36
-regnetx_080,463.41,827.528,384,224,39.57
-crossvit_15_dagger_240,461.34,414.345,192,240,28.21
-resnetaa101d,460.14,554.755,256,224,44.57
-lambda_resnet50ts,459.6,416.745,192,256,21.54
-halonet50ts,459.3,417.05,192,256,22.73
-legacy_seresnet101,458.51,556.133,256,224,49.33
-gluon_resnet101_v1s,457.44,558.089,256,224,44.67
-densenet201,452.47,421.386,192,224,20.01
-swin_tiny_patch4_window7_224,451.01,566.618,256,224,28.29
-seresnet101,447.55,569.776,256,224,49.33
-resnetblur101d,441.76,577.918,256,224,44.57
-nf_seresnet101,440.27,579.119,256,224,49.33
-mixnet_xl,435.11,586.493,256,224,11.9
-twins_pcpvt_small,428.18,596.275,256,224,24.11
-nfnet_l0,422.47,604.781,256,288,35.07
-skresnext50_32x4d,418.8,609.905,256,224,27.48
-swin_s3_tiny_224,418.5,457.809,192,224,28.33
-gluon_resnext101_32x4d,418.3,610.447,256,224,44.18
-swsl_resnext101_32x4d,418.28,610.459,256,224,44.18
-ssl_resnext101_32x4d,418.21,610.626,256,224,44.18
-resnext101_32x4d,418.12,610.73,256,224,44.18
-vit_tiny_patch16_384,415.69,307.09,128,384,5.79
-botnet50ts_256,415.68,306.991,128,256,22.74
-poolformer_s36,413.64,462.249,192,224,30.86
-ese_vovnet39b_evos,408.73,312.204,128,224,24.58
-convit_small,408.52,468.993,192,224,27.78
-res2net101_26w_4s,406.07,470.321,192,224,45.21
-eca_nfnet_l0,404.15,632.409,256,288,24.14
-efficientnet_lite3,403.71,315.975,128,300,8.2
-halo2botnet50ts_256,403.26,316.425,128,256,22.64
-tresnet_l,403.06,1266.831,512,224,55.99
-resnet51q,399.11,480.193,192,288,35.7
-nf_ecaresnet101,394.48,647.098,256,224,44.55
-dla102x,393.78,486.022,192,224,26.31
-vgg19,393.77,974.937,384,224,143.67
-res2net50_26w_8s,393.74,485.439,192,224,48.4
-lamhalobotnet50ts_256,392.54,325.068,128,256,22.57
-regnetx_064,392.18,651.888,256,224,26.21
-regnety_032,391.93,651.749,256,288,19.44
-tf_efficientnet_lite3,390.65,326.582,128,300,8.2
-vgg16_bn,389.79,656.438,256,224,138.37
-xception,385.34,331.396,128,299,22.86
-resnetv2_152,380.13,671.312,256,224,60.19
-swin_v2_cr_tiny_224,379.43,504.758,192,224,28.33
-ecaresnet101d,378.93,673.854,256,224,44.57
-resnest50d_4s2x40d,378.25,675.481,256,224,30.42
-repvgg_b2g4,377.89,1353.806,512,224,61.76
-ese_vovnet99b,373.42,684.063,256,224,63.2
-tv_resnet152,371.1,515.112,192,224,60.19
-resnet152,371.02,515.239,192,224,60.19
-convnext_small,370.63,516.315,192,224,50.22
-xcit_nano_12_p8_224,370.09,689.984,256,224,3.05
-xcit_nano_12_p8_224_dist,369.33,691.413,256,224,3.05
-gluon_resnet152_v1b,369.24,517.744,192,224,60.19
-nfnet_f0,367.34,695.748,256,256,71.49
-gluon_seresnext101_32x4d,366.5,521.688,192,224,48.96
-seresnext101_32x4d,366.15,522.18,192,224,48.96
-legacy_seresnext101_32x4d,365.14,523.663,192,224,48.96
-vit_base_patch16_224_miil,364.71,350.199,128,224,86.54
-nest_tiny,363.32,351.416,128,224,17.06
-resnetv2_152d,361.72,528.569,192,224,60.2
-vit_small_resnet50d_s16_224,361.26,530.264,192,224,57.53
-resnet61q,360.88,353.672,128,288,36.85
-jx_nest_tiny,360.53,354.122,128,224,17.06
-swin_v2_cr_tiny_ns_224,360.48,531.298,192,224,28.33
-vit_base_patch16_224,359.03,355.693,128,224,86.57
-vit_base_patch16_224_sam,358.97,355.726,128,224,86.57
-ese_vovnet99b_iabn,358.47,1068.125,384,224,63.2
-gluon_resnet152_v1c,358.0,534.017,192,224,60.21
-deit_base_patch16_224,356.65,358.076,128,224,86.57
-regnety_040,355.37,538.804,192,288,20.65
-gluon_resnet152_v1d,353.37,541.005,192,224,60.21
-regnety_040s_gn,351.45,362.7,128,224,20.65
-deit_base_distilled_patch16_224,351.33,363.49,128,224,87.34
-resnetv2_50d_frn,347.92,366.764,128,224,25.59
-crossvit_18_240,347.71,366.132,128,240,43.27
-xcit_tiny_12_p16_384_dist,343.61,557.009,192,384,6.72
-xception41p,343.15,372.168,128,299,26.91
-volo_d1_224,342.86,371.99,128,224,26.63
-regnetv_040,340.89,374.038,128,288,20.64
-hrnet_w18,340.14,747.884,256,224,21.3
-repvgg_b2,339.58,1506.684,512,224,89.02
-fbnetv3_g,338.81,375.801,128,288,16.62
-crossvit_18_dagger_240,336.48,378.386,128,240,44.27
-vgg19_bn,336.38,760.656,256,224,143.68
-gluon_resnet152_v1s,335.54,569.962,192,224,60.32
-dla169,331.7,576.335,192,224,53.39
-densenet161,329.95,385.629,128,224,28.68
-dm_nfnet_f0,329.15,776.517,256,256,71.49
-coat_lite_small,327.59,584.625,192,224,19.84
-resnetv2_50d_gn,326.94,390.7,128,288,25.57
-beit_base_patch16_224,326.19,391.317,128,224,86.53
-repvgg_b3g4,321.01,1195.136,384,224,83.83
-tf_efficientnet_b3_ns,318.86,399.788,128,300,12.23
-tf_efficientnet_b3,318.7,399.98,128,300,12.23
-tf_efficientnet_b3_ap,318.42,400.336,128,300,12.23
-legacy_seresnet152,315.73,604.891,192,224,66.82
-dpn92,314.66,812.131,256,224,37.67
-inception_v4,312.7,611.827,192,299,42.68
-efficientnet_b3,312.0,408.597,128,320,12.23
-efficientnet_b3a,311.95,408.654,128,320,12.23
-twins_pcpvt_base,311.39,613.825,192,224,43.83
-convmixer_1024_20_ks9_p14,310.04,824.873,256,224,24.38
-regnetx_120,309.97,824.929,256,224,46.11
-cait_xxs36_224,308.02,411.825,128,224,17.3
-ecaresnet50t,306.62,416.516,128,320,25.57
-hrnet_w32,305.43,623.994,192,224,41.23
-seresnet152,303.38,418.64,128,224,66.82
-twins_svt_base,303.13,420.211,128,224,56.07
-regnetz_c16,302.01,422.387,128,320,13.46
-hrnet_w30,301.1,845.453,256,224,37.71
-tresnet_xl,294.8,1299.032,384,224,78.44
-swin_small_patch4_window7_224,294.09,433.317,128,224,49.61
-pit_b_224,291.77,328.073,96,224,73.76
-xception41,291.75,437.519,128,299,26.97
-regnety_120,291.47,657.427,192,224,51.82
-pit_b_distilled_224,289.77,330.344,96,224,74.79
-wide_resnet101_2,288.45,664.093,192,224,126.89
-nf_regnet_b4,286.33,444.906,128,384,30.21
-mixnet_xxl,281.29,453.113,128,224,23.96
-poolformer_m36,278.5,457.747,128,224,56.17
-xcit_small_24_p16_224_dist,276.84,459.031,128,224,47.67
-repvgg_b3,276.53,1387.56,384,224,123.09
-xcit_small_24_p16_224,275.37,461.371,128,224,47.67
-convnext_small_in22ft1k,274.88,463.928,128,224,88.59
-convnext_base,274.83,464.011,128,224,88.59
-convnext_tiny_in22ft1k,273.31,466.623,128,224,88.59
-convnext_base_in22ft1k,272.88,467.352,128,224,88.59
-gluon_resnext101_64x4d,268.43,475.336,128,224,83.46
-dla102x2,266.91,478.025,128,224,41.28
-cait_s24_224,265.32,479.979,128,224,46.92
-resnet200,265.02,479.979,128,224,64.67
-vit_small_patch16_18x2_224,263.71,482.808,128,224,64.67
-regnetx_160,261.64,732.791,192,224,54.28
-xcit_tiny_12_p8_224_dist,261.1,488.495,128,224,6.71
-xcit_tiny_12_p8_224,260.74,489.138,128,224,6.71
-vit_small_patch16_36x1_224,259.32,367.632,96,224,64.67
-xception65p,258.71,493.479,128,299,39.82
-ens_adv_inception_resnet_v2,255.7,747.458,192,299,55.84
-resnetv2_50d_evob,254.24,376.389,96,224,25.59
-inception_resnet_v2,254.09,752.309,192,299,55.84
-efficientnet_el,253.35,504.154,128,300,10.59
-efficientnet_el_pruned,253.34,504.171,128,300,10.59
-resnext101_32x8d,252.02,506.385,128,224,88.79
-swsl_resnext101_32x8d,252.02,506.295,128,224,88.79
-ssl_resnext101_32x8d,251.67,507.107,128,224,88.79
-resnetrs101,251.09,507.486,128,288,63.62
-ig_resnext101_32x8d,250.58,509.299,128,224,88.79
-dpn98,249.31,511.881,128,224,61.57
-tf_efficientnet_el,249.14,512.694,128,300,10.59
-efficientnetv2_s,245.1,389.491,96,384,21.46
-gluon_seresnext101_64x4d,243.69,523.04,128,224,88.23
-tf_efficientnetv2_s,243.67,391.823,96,384,21.46
-tf_efficientnetv2_s_in21ft1k,242.75,393.147,96,384,21.46
-gmlp_b16_224,241.6,395.795,96,224,73.08
-resnet101d,240.1,531.541,128,320,44.57
-nest_small,238.81,400.33,96,224,38.35
-resnest101e,237.62,536.114,128,256,48.28
-jx_nest_small,237.34,402.863,96,224,38.35
-swin_v2_cr_small_224,234.05,407.737,96,224,49.7
-twins_svt_large,233.44,546.209,128,224,99.27
-efficientnetv2_rw_s,232.97,272.53,64,384,23.94
-regnety_064,232.53,548.809,128,288,30.58
-crossvit_base_240,232.11,411.966,96,240,105.03
-coat_tiny,230.73,552.729,128,224,5.5
-swin_s3_small_224,227.28,420.551,96,224,49.74
-swin_base_patch4_window7_224,225.83,564.975,128,224,87.77
-vit_large_r50_s32_224,224.13,425.968,96,224,328.99
-gluon_xception65,224.07,426.586,96,299,39.92
-regnetv_064,223.77,570.349,128,288,30.58
-xception65,222.29,429.965,96,299,39.92
-hrnet_w40,221.98,860.248,192,224,57.56
-twins_pcpvt_large,221.53,573.857,128,224,60.99
-regnety_080,221.41,576.9,128,288,39.18
-vit_small_r26_s32_384,217.53,292.946,64,384,36.47
-convit_base,213.7,448.233,96,224,86.54
-resnetv2_50d_evos,211.36,301.609,64,288,25.59
-vit_small_patch16_384,211.21,302.185,64,384,22.2
-tresnet_m_448,207.11,924.362,192,448,31.39
-hrnet_w44,206.62,924.469,192,224,67.06
-hrnet_w48,203.91,623.058,128,224,77.47
-xcit_medium_24_p16_224_dist,201.77,472.474,96,224,84.4
-efficientnet_lite4,201.72,315.945,64,380,13.01
-regnetz_040,200.93,316.724,64,320,27.12
-xcit_medium_24_p16_224,200.38,475.726,96,224,84.4
-regnetz_040h,199.32,319.288,64,320,28.94
-vit_base_r50_s16_224,198.49,320.852,64,224,98.66
-volo_d2_224,198.45,481.736,96,224,58.68
-regnetz_d8,197.22,322.887,64,320,23.37
-regnetz_b16_evos,196.95,323.135,64,288,9.74
-densenet264,196.71,484.156,96,224,72.69
-coat_mini,196.35,649.865,128,224,10.34
-tf_efficientnet_lite4,196.17,324.922,64,380,13.01
-eca_nfnet_l1,189.49,673.644,128,320,41.41
-dpn131,186.08,685.82,128,224,79.25
-xcit_small_12_p16_384_dist,185.19,516.612,96,384,26.25
-regnetz_d32,185.07,344.194,64,320,27.58
-poolformer_m48,184.64,517.502,96,224,73.47
-efficientnet_b3_gn,183.63,346.864,64,320,11.73
-nest_base,179.17,355.564,64,224,67.72
-jx_nest_base,178.25,357.393,64,224,67.72
-xcit_tiny_24_p16_384_dist,178.08,535.75,96,384,12.12
-swin_s3_base_224,176.4,360.127,64,224,71.13
-swin_v2_cr_base_224,175.64,361.983,64,224,87.88
-dpn107,174.69,731.058,128,224,86.92
-resnet152d,172.77,553.323,96,320,60.21
-efficientnet_b4,170.77,372.707,64,384,19.34
-hrnet_w64,170.07,747.892,128,224,128.06
-xception71,168.48,377.772,64,299,42.34
-regnety_320,166.84,765.843,128,224,145.05
-densenet264d_iabn,165.34,1156.78,192,224,72.74
-halonet_h1,164.36,387.985,64,256,8.1
-convnext_large_in22ft1k,162.57,588.815,96,224,197.77
-convnext_large,162.19,590.164,96,224,197.77
-tnt_s_patch16_224,160.48,795.734,128,224,23.76
-tf_efficientnet_b4_ap,160.07,397.797,64,380,19.34
-tf_efficientnet_b4,160.05,397.861,64,380,19.34
-tf_efficientnet_b4_ns,159.86,398.285,64,380,19.34
-mixer_l16_224,158.98,602.398,96,224,208.2
-seresnet200d,156.82,607.841,96,256,71.86
-efficientnet_b3_g8_gn,153.08,416.422,64,320,14.25
-vit_large_patch32_384,148.01,430.862,64,384,306.63
-regnetx_320,147.1,869.066,128,224,107.81
-ecaresnet200d,146.51,433.421,64,256,64.69
-seresnet152d,142.71,445.143,64,320,66.84
-senet154,141.47,675.227,96,224,115.09
-gluon_senet154,140.33,680.825,96,224,115.09
-resnetrs152,140.22,453.07,64,320,86.62
-resnetv2_50x1_bitm,140.19,341.567,48,448,25.55
-xcit_small_12_p8_224,140.1,455.06,64,224,26.21
-legacy_senet154,139.98,682.498,96,224,115.09
-xcit_small_12_p8_224_dist,139.68,456.467,64,224,26.21
-volo_d3_224,136.64,465.978,64,224,86.33
-regnety_160,136.33,702.93,96,288,83.59
-xcit_tiny_24_p8_224,135.22,706.664,96,224,12.11
-xcit_tiny_24_p8_224_dist,135.04,707.588,96,224,12.11
-swin_large_patch4_window7_224,134.46,474.195,64,224,196.53
-tnt_b_patch16_224,128.28,746.509,96,224,65.41
-seresnext101_32x8d,126.87,502.256,64,288,93.57
-resnet200d,125.03,508.876,64,320,64.69
-nfnet_f1,124.83,766.912,96,320,132.63
-xcit_nano_12_p8_384_dist,124.74,511.323,64,384,3.05
-resnext101_64x4d,122.53,781.921,96,288,83.46
-xcit_large_24_p16_224,121.81,522.038,64,224,189.1
-xcit_large_24_p16_224_dist,121.62,522.935,64,224,189.1
-regnetz_c16_evos,121.42,393.457,48,320,13.49
-efficientnetv2_m,119.95,397.043,48,416,54.14
-seresnet269d,115.73,547.311,64,256,113.67
-dm_nfnet_f1,111.52,571.621,64,320,132.63
-nf_regnet_b5,111.52,571.237,64,456,49.74
-swin_v2_cr_large_224,108.24,441.046,48,224,196.68
-vit_large_patch16_224,107.89,443.324,48,224,304.33
-convnext_xlarge_in22ft1k,105.95,602.3,64,224,350.2
-vit_base_patch16_18x2_224,104.22,457.937,48,224,256.73
-crossvit_15_dagger_408,103.66,306.843,32,408,28.5
-efficientnetv2_rw_m,103.03,307.229,32,416,53.24
-regnetz_e8,102.71,465.407,48,320,57.7
-tresnet_l_448,102.02,1251.242,128,448,55.99
-beit_large_patch16_224,100.02,477.913,48,224,304.43
-ssl_resnext101_32x16d,99.42,964.104,96,224,194.03
-ig_resnext101_32x16d,99.34,964.822,96,224,194.03
-swsl_resnext101_32x16d,99.31,965.114,96,224,194.03
-resnetrs200,98.78,481.487,48,320,93.21
-xcit_small_24_p16_384_dist,94.29,505.743,48,384,47.67
-convnext_small_384_in22ft1k,94.25,507.598,48,384,88.59
-eca_nfnet_l2,93.98,678.342,64,384,56.72
-convnext_tiny_384_in22ft1k,93.69,510.615,48,384,88.59
-convnext_base_384_in22ft1k,93.6,511.079,48,384,88.59
-vit_base_patch16_384,91.38,349.381,32,384,86.86
-deit_base_patch16_384,91.25,349.874,32,384,86.86
-swin_v2_cr_tiny_384,89.93,354.59,32,384,28.33
-deit_base_distilled_patch16_384,89.45,356.909,32,384,87.63
-tf_efficientnetv2_m,89.24,355.387,32,480,54.14
-tf_efficientnetv2_m_in21ft1k,89.11,356.006,32,480,54.14
-volo_d4_224,89.0,536.865,48,224,192.96
-xcit_tiny_12_p8_384_dist,88.71,539.341,48,384,6.71
-volo_d1_384,87.94,271.566,24,384,26.78
-convmixer_768_32,87.33,1098.007,96,224,21.11
-cait_xxs24_384,86.9,365.799,32,384,12.03
-resnetv2_152x2_bit_teacher,86.51,367.584,32,224,236.34
-resnetv2_101x1_bitm,85.93,370.849,32,448,44.54
-regnetz_d8_evos,81.9,388.68,32,320,23.46
-resnest200e,78.86,603.644,48,320,70.2
-crossvit_18_dagger_408,78.2,304.877,24,408,44.61
-beit_base_patch16_384,77.31,309.414,24,384,86.74
-tresnet_xl_448,77.31,1238.041,96,448,78.44
-efficientnet_b5,76.38,416.454,32,456,30.39
-vit_large_patch14_224,76.22,418.295,32,224,304.2
-tf_efficientnet_b5_ns,75.17,423.294,32,456,30.39
-tf_efficientnet_b5,75.06,423.89,32,456,30.39
-tf_efficientnet_b5_ap,74.91,424.757,32,456,30.39
-vit_large_r50_s32_384,74.62,426.461,32,384,329.09
-nfnet_f2,71.13,671.634,48,352,193.78
-xcit_small_24_p8_224,70.93,447.831,32,224,47.63
-xcit_small_24_p8_224_dist,70.82,448.457,32,224,47.63
-xcit_medium_24_p16_384_dist,68.86,461.356,32,384,84.4
-resmlp_big_24_distilled_224,67.63,471.604,32,224,129.14
-resmlp_big_24_224,66.97,476.343,32,224,129.14
-resmlp_big_24_224_in22ft1k,66.96,476.41,32,224,129.14
-dm_nfnet_f2,63.38,754.059,48,352,193.78
-ecaresnet269d,62.55,506.999,32,352,102.09
-swin_base_patch4_window12_384,61.26,389.996,24,384,87.9
-pnasnet5large,60.8,522.503,32,331,86.06
-cait_xs24_384,60.18,396.29,24,384,26.67
-resnetrs270,59.41,532.629,32,352,129.86
-vit_base_patch8_224,58.54,272.507,16,224,86.58
-nasnetalarge,58.23,544.595,32,331,88.75
-volo_d5_224,57.67,551.667,32,224,295.46
-cait_xxs36_384,57.1,416.606,24,384,17.37
-convnext_large_384_in22ft1k,55.31,576.804,32,384,197.77
-vit_base_resnet50_384,55.13,288.662,16,384,98.95
-vit_base_r50_s16_384,55.08,288.922,16,384,98.95
-swin_v2_cr_small_384,54.02,293.773,16,384,49.7
-xcit_medium_24_p8_224,52.96,600.968,32,224,84.32
-xcit_medium_24_p8_224_dist,52.91,601.478,32,224,84.32
-ig_resnext101_32x32d,52.61,606.726,32,224,468.53
-volo_d2_384,50.75,313.547,16,384,58.87
-eca_nfnet_l3,50.5,630.136,32,448,72.04
-convmixer_1536_20,49.92,960.799,48,224,51.63
-xcit_small_12_p8_384_dist,47.77,500.692,24,384,26.21
-tf_efficientnetv2_l_in21ft1k,47.35,333.533,16,480,118.52
-efficientnetv2_l,47.16,334.995,16,480,118.52
-tf_efficientnetv2_l,47.07,335.523,16,480,118.52
-xcit_tiny_24_p8_384_dist,45.79,695.564,32,384,12.11
-cait_s24_384,44.86,354.226,16,384,47.06
-swin_v2_cr_huge_224,44.05,360.723,16,224,657.83
-efficientnet_b6,42.26,375.764,16,528,43.04
-xcit_large_24_p16_384_dist,41.96,568.582,24,384,189.1
-tf_efficientnet_b6_ap,41.84,379.635,16,528,43.04
-tf_efficientnet_b6,41.78,380.157,16,528,43.04
-tf_efficientnet_b6_ns,41.7,380.74,16,528,43.04
-swin_v2_cr_base_384,41.43,383.765,16,384,87.88
-vit_huge_patch14_224,38.82,410.089,16,224,632.05
-swin_large_patch4_window12_384,37.36,426.362,16,384,196.74
-resnetrs350,37.22,637.051,24,384,163.96
-nfnet_f3,35.3,675.657,24,416,254.92
-convnext_xlarge_384_in22ft1k,34.59,460.906,16,384,350.2
-resnest269e,33.49,709.738,24,416,110.93
-dm_nfnet_f3,32.11,742.967,24,416,254.92
-resnetv2_50x3_bitm,31.49,507.203,16,448,217.32
-xcit_large_24_p8_224,31.1,511.188,16,224,188.93
-xcit_large_24_p8_224_dist,31.08,511.4,16,224,188.93
-resnetv2_152x2_bit_teacher_384,29.72,401.405,12,384,236.34
-cait_s36_384,29.53,402.581,12,384,68.37
-efficientnetv2_xl,28.84,410.429,12,512,208.12
-tf_efficientnetv2_xl_in21ft1k,28.76,411.641,12,512,208.12
-ig_resnext101_32x48d,27.57,578.926,16,224,828.41
-vit_large_patch16_384,26.83,296.63,8,384,304.72
-efficientnet_b7,25.65,308.317,8,600,66.35
-tf_efficientnet_b7_ns,25.54,309.843,8,600,66.35
-tf_efficientnet_b7,25.52,309.949,8,600,66.35
-tf_efficientnet_b7_ap,25.49,310.429,8,600,66.35
-resnetrs420,25.06,628.984,16,416,191.89
-swin_v2_cr_large_384,24.48,324.319,8,384,196.68
-xcit_small_24_p8_384_dist,24.12,494.319,12,384,47.63
-beit_large_patch16_384,22.92,347.104,8,384,305.0
-vit_giant_patch14_224,21.77,364.805,8,224,1012.61
-resnetv2_152x2_bitm,21.5,369.846,8,448,236.34
-volo_d3_448,21.39,278.066,6,448,86.63
-nfnet_f4,18.65,638.182,12,512,316.07
-resnetv2_101x3_bitm,17.49,455.806,8,448,387.93
-xcit_medium_24_p8_384_dist,17.39,456.608,8,384,84.32
-dm_nfnet_f4,16.87,705.913,12,512,316.07
-volo_d4_448,15.85,376.008,6,448,193.41
-tf_efficientnet_b8_ap,13.05,456.145,6,672,87.41
-tf_efficientnet_b8,13.04,456.234,6,672,87.41
-efficientnet_b8,13.01,457.314,6,672,87.41
-nfnet_f5,12.16,651.359,8,544,377.21
-cait_m36_384,11.39,523.115,6,384,271.22
-dm_nfnet_f5,11.14,711.506,8,544,377.21
-xcit_large_24_p8_384_dist,10.6,562.64,6,384,188.93
-volo_d5_448,10.46,379.155,4,448,295.91
-swin_v2_cr_huge_384,9.68,307.346,3,384,657.94
-nfnet_f6,9.19,645.361,6,576,438.36
-tf_efficientnet_l2_ns_475,9.01,438.204,4,475,480.31
-beit_large_patch16_512,8.44,353.416,3,512,305.67
-dm_nfnet_f6,8.42,705.117,6,576,438.36
-volo_d5_512,6.78,291.864,2,512,296.09
-nfnet_f7,6.51,605.721,4,608,499.5
-cait_m48_448,4.62,428.106,2,448,356.46
-resnetv2_152x4_bitm,4.47,445.366,2,480,936.53
-tf_efficientnet_l2_ns,2.56,385.525,1,800,480.31
-efficientnet_l2,2.55,385.937,1,800,480.31
diff --git a/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv b/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv
new file mode 100644
index 00000000..7347388e
--- /dev/null
+++ b/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv
@@ -0,0 +1,835 @@
+model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
+tinynet_e,10001.12,50.423,512,106,2.04
+mobilenetv3_small_050,7406.47,68.392,512,224,1.59
+tf_mobilenetv3_small_minimal_100,6438.14,78.983,512,224,2.04
+mobilenetv3_small_075,6186.83,82.006,512,224,2.04
+tf_mobilenetv3_small_075,5783.46,87.782,512,224,2.04
+mobilenetv3_small_100,5749.13,88.315,512,224,2.54
+lcnet_035,5673.53,89.75,512,224,1.64
+tf_mobilenetv3_small_100,5383.9,94.36,512,224,2.54
+levit_128s,5298.88,95.701,512,224,7.78
+lcnet_050,5280.37,96.452,512,224,1.88
+tinynet_d,5161.83,98.416,512,152,2.34
+mixer_s32_224,4696.33,108.475,512,224,19.1
+resnet10t,4669.46,109.393,512,176,5.44
+vit_small_patch32_224,4447.28,114.289,512,224,22.88
+lcnet_075,4278.23,119.175,512,224,2.36
+vit_tiny_r_s16_p8_224,4137.87,122.895,512,224,6.34
+levit_128,3895.0,130.318,512,224,9.21
+regnetx_002,3718.05,137.026,512,224,2.68
+lcnet_100,3569.0,142.969,512,224,2.95
+mnasnet_small,3450.28,147.453,512,224,2.03
+regnety_002,3414.18,149.006,512,224,3.16
+cs3darknet_focus_s,3251.91,156.949,512,256,3.27
+mobilenetv2_035,3160.04,161.202,512,224,1.68
+levit_192,3046.5,166.9,512,224,10.95
+gernet_s,3034.31,168.028,512,224,8.17
+tinynet_c,2919.98,174.314,512,184,2.46
+mnasnet_050,2847.14,179.025,512,224,2.22
+cs3darknet_s,2821.27,180.951,512,256,3.28
+resnet18,2764.22,184.877,512,224,11.69
+ssl_resnet18,2760.71,185.109,512,224,11.69
+mobilenetv2_050,2751.58,185.257,512,224,1.97
+swsl_resnet18,2742.47,186.338,512,224,11.69
+semnasnet_050,2741.67,185.816,512,224,2.08
+gluon_resnet18_v1b,2741.53,186.395,512,224,11.69
+lcnet_150,2713.5,188.193,512,224,4.5
+regnetx_004,2695.23,188.875,512,224,5.16
+ese_vovnet19b_slim_dw,2588.37,197.313,512,224,1.9
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+regnetz_c16_evos,207.35,306.824,64,256,13.49
+hrnet_w44,206.45,925.026,192,224,67.06
+resnet200d,204.47,623.017,128,256,64.69
+efficientnet_b3_g8_gn,203.44,312.836,64,288,14.25
+hrnet_w48,202.15,628.427,128,224,77.47
+densenet264,202.1,470.789,96,224,72.69
+dpn131,198.25,643.486,128,224,79.25
+tf_efficientnet_b4,194.83,326.399,64,380,19.34
+tf_efficientnet_b4_ap,194.65,326.738,64,380,19.34
+tf_efficientnet_b4_ns,194.23,327.375,64,380,19.34
+xcit_nano_12_p8_384_dist,187.76,338.965,64,384,3.05
+efficientnetv2_rw_m,187.31,338.14,64,320,53.24
+dpn107,187.14,682.151,128,224,86.92
+convnext_large_in22ft1k,187.05,511.402,96,224,197.77
+convnext_large,187.01,511.523,96,224,197.77
+nf_regnet_b5,186.49,512.09,96,384,49.74
+xcit_tiny_24_p8_224,183.21,520.609,96,224,12.11
+xcit_tiny_24_p8_224_dist,183.21,520.533,96,224,12.11
+halonet_h1,177.48,359.151,64,256,8.1
+hrnet_w64,176.04,722.362,128,224,128.06
+mobilevitv2_175_384_in22ft1k,175.76,363.135,64,384,14.25
+senet154,174.83,545.792,96,224,115.09
+regnety_320,174.41,732.528,128,224,145.05
+gluon_senet154,174.03,548.162,96,224,115.09
+regnetz_e8,173.89,365.999,64,256,57.7
+legacy_senet154,170.27,560.493,96,224,115.09
+xception71,168.81,376.911,64,299,42.34
+xcit_small_12_p8_224,168.52,377.961,64,224,26.21
+xcit_small_12_p8_224_dist,168.32,378.375,64,224,26.21
+vit_large_patch32_384,168.05,569.595,96,384,306.63
+convnext_small_384_in22ft1k,164.94,386.292,64,384,50.22
+mixer_l16_224,164.43,582.335,96,224,208.2
+ecaresnet200d,161.74,392.334,64,256,64.69
+seresnet200d,161.56,391.892,64,256,71.86
+resnetrs200,160.52,394.222,64,256,93.21
+densenet264d_iabn,158.12,804.924,128,224,72.74
+regnetx_320,155.94,819.702,128,224,107.81
+swin_large_patch4_window7_224,153.79,414.255,64,224,196.53
+volo_d3_224,152.73,416.584,64,224,86.33
+mobilevitv2_200_384_in22ft1k,150.68,317.559,48,384,18.45
+swinv2_base_window8_256,150.28,423.39,64,256,87.92
+resnetv2_50x1_bitm,149.04,321.21,48,448,25.55
+nfnet_f2,148.92,641.446,96,256,193.78
+swinv2_small_window16_256,142.83,445.591,64,256,49.73
+tf_efficientnetv2_m,142.41,333.833,48,384,54.14
+eca_nfnet_l2,142.2,672.291,96,320,56.72
+tf_efficientnetv2_m_in21ft1k,141.35,336.246,48,384,54.14
+regnetz_d8_evos,132.2,360.995,48,256,23.46
+swinv2_cr_tiny_384,131.5,485.388,64,384,28.33
+ig_resnext101_32x16d,130.47,734.203,96,224,194.03
+ssl_resnext101_32x16d,130.4,734.63,96,224,194.03
+swsl_resnext101_32x16d,130.37,734.771,96,224,194.03
+xcit_large_24_p16_224,126.98,500.577,64,224,189.1
+xcit_large_24_p16_224_dist,126.97,500.662,64,224,189.1
+seresnet269d,125.7,503.318,64,256,113.67
+dm_nfnet_f2,125.2,507.681,64,256,193.78
+swinv2_cr_large_224,124.7,510.736,64,224,196.68
+xcit_tiny_12_p8_384_dist,122.38,390.412,48,384,6.71
+resnetrs270,121.5,520.761,64,256,129.86
+crossvit_15_dagger_408,117.57,270.29,32,408,28.5
+vit_large_patch16_224,117.08,544.981,64,224,304.33
+vit_base_patch16_18x2_224,116.55,546.378,64,224,256.73
+convnext_base_384_in22ft1k,115.97,412.084,48,384,88.59
+convnext_xlarge_in22ft1k,115.91,550.445,64,224,350.2
+deit3_large_patch16_224_in21ft1k,113.19,563.501,64,224,304.37
+deit3_large_patch16_224,113.17,563.634,64,224,304.37
+xcit_small_24_p16_384_dist,112.88,421.839,48,384,47.67
+beit_large_patch16_224,107.8,591.544,64,224,304.43
+swinv2_base_window16_256,103.68,460.461,48,256,87.92
+swinv2_base_window12to16_192to256_22kft1k,103.56,461.021,48,256,87.92
+tresnet_l_448,103.2,1236.839,128,448,55.99
+volo_d1_384,99.39,320.613,32,384,26.78
+cait_xxs24_384,97.83,488.033,48,384,12.03
+vit_base_patch16_384,96.96,329.192,32,384,86.86
+deit_base_patch16_384,96.37,331.171,32,384,86.86
+volo_d4_224,95.75,498.748,48,224,192.96
+deit_base_distilled_patch16_384,94.83,336.556,32,384,87.63
+efficientnet_b5,93.71,338.901,32,456,30.39
+deit3_base_patch16_384,93.22,342.328,32,384,86.88
+deit3_base_patch16_384_in21ft1k,92.68,344.327,32,384,86.88
+tf_efficientnet_b5,92.16,344.785,32,456,30.39
+tf_efficientnet_b5_ns,92.11,344.939,32,456,30.39
+tf_efficientnet_b5_ap,91.98,345.405,32,456,30.39
+resnetv2_152x2_bit_teacher,89.37,355.711,32,224,236.34
+crossvit_18_dagger_408,88.76,358.492,32,408,44.61
+xcit_small_24_p8_224,87.25,546.829,48,224,47.63
+xcit_small_24_p8_224_dist,86.87,549.24,48,224,47.63
+convmixer_768_32,85.53,1121.025,96,224,21.11
+vit_large_patch14_224,85.27,561.239,48,224,304.2
+eca_nfnet_l3,84.61,563.702,48,352,72.04
+resnetv2_101x1_bitm,84.61,187.399,16,448,44.54
+beit_base_patch16_384,83.67,381.291,32,384,86.74
+resnest200e,83.33,570.802,48,320,70.2
+efficientnetv2_l,83.27,379.867,32,384,118.52
+tf_efficientnetv2_l_in21ft1k,83.27,379.678,32,384,118.52
+tf_efficientnetv2_l,82.74,382.367,32,384,118.52
+ecaresnet269d,82.15,579.477,48,320,102.09
+tresnet_xl_448,78.31,1222.487,96,448,78.44
+xcit_medium_24_p16_384_dist,77.9,407.346,32,384,84.4
+vit_large_r50_s32_384,77.49,410.426,32,384,329.09
+swinv2_cr_small_384,76.31,416.793,32,384,49.7
+swin_base_patch4_window12_384,74.03,430.327,32,384,87.9
+pnasnet5large,68.77,461.392,32,331,86.06
+resnetrs350,68.24,460.967,32,288,163.96
+nfnet_f3,67.87,703.087,48,320,254.92
+nasnetalarge,67.38,469.785,32,331,88.75
+resmlp_big_24_224_in22ft1k,67.03,475.857,32,224,129.14
+resmlp_big_24_distilled_224,67.03,475.867,32,224,129.14
+resmlp_big_24_224,67.02,475.97,32,224,129.14
+cait_xs24_384,65.59,485.229,32,384,26.67
+convnext_large_384_in22ft1k,63.62,501.159,32,384,197.77
+vit_base_patch8_224,63.42,377.591,24,224,86.58
+cait_xxs36_384,63.23,502.345,32,384,17.37
+ig_resnext101_32x32d,62.72,508.666,32,224,468.53
+xcit_tiny_24_p8_384_dist,62.14,511.676,32,384,12.11
+volo_d5_224,61.58,516.467,32,224,295.46
+vit_base_resnet50_384,61.06,391.43,24,384,98.95
+vit_base_r50_s16_384,61.0,391.773,24,384,98.95
+swinv2_large_window12to16_192to256_22kft1k,60.93,391.352,24,256,196.74
+xcit_medium_24_p8_224,60.43,526.111,32,224,84.32
+xcit_medium_24_p8_224_dist,60.03,529.652,32,224,84.32
+xcit_small_12_p8_384_dist,57.75,413.763,24,384,26.21
+dm_nfnet_f3,57.26,554.375,32,320,254.92
+volo_d2_384,55.56,286.247,16,384,58.87
+efficientnet_b6,54.98,288.003,16,528,43.04
+swinv2_cr_base_384,54.71,436.265,24,384,87.88
+tf_efficientnet_b6,54.38,291.338,16,528,43.04
+tf_efficientnet_b6_ns,54.21,292.241,16,528,43.04
+tf_efficientnet_b6_ap,54.17,292.479,16,528,43.04
+efficientnetv2_xl,53.77,291.666,16,384,208.12
+tf_efficientnetv2_xl_in21ft1k,53.07,295.611,16,384,208.12
+convmixer_1536_20,50.1,957.271,48,224,51.63
+swinv2_cr_huge_224,49.51,482.114,24,224,657.83
+cait_s24_384,49.37,483.331,24,384,47.06
+resnetrs420,48.12,489.4,24,320,191.89
+xcit_large_24_p16_384_dist,45.6,522.909,24,384,189.1
+swin_large_patch4_window12_384,41.65,382.145,16,384,196.74
+convnext_xlarge_384_in22ft1k,40.18,595.51,24,384,350.2
+vit_huge_patch14_224,39.94,398.436,16,224,632.05
+deit3_huge_patch14_224_in21ft1k,38.36,414.578,16,224,632.13
+deit3_huge_patch14_224,38.33,414.855,16,224,632.13
+nfnet_f4,36.85,646.047,24,384,316.07
+resnest269e,35.75,664.499,24,416,110.93
+resnetv2_50x3_bitm,34.88,457.822,16,448,217.32
+xcit_large_24_p8_224_dist,33.7,471.344,16,224,188.93
+xcit_large_24_p8_224,33.68,471.512,16,224,188.93
+resnetv2_152x2_bit_teacher_384,32.69,487.138,16,384,236.34
+ig_resnext101_32x48d,32.39,492.417,16,224,828.41
+swinv2_cr_large_384,32.36,491.839,16,384,196.68
+cait_s36_384,31.92,497.404,16,384,68.37
+efficientnet_b7,31.74,248.492,8,600,66.35
+dm_nfnet_f4,31.4,758.349,24,384,316.07
+tf_efficientnet_b7,31.4,251.12,8,600,66.35
+tf_efficientnet_b7_ns,31.37,251.394,8,600,66.35
+tf_efficientnet_b7_ap,31.35,251.548,8,600,66.35
+xcit_small_24_p8_384_dist,29.2,544.65,16,384,47.63
+vit_large_patch16_384,29.07,411.127,12,384,304.72
+deit3_large_patch16_384,28.22,423.365,12,384,304.76
+deit3_large_patch16_384_in21ft1k,28.19,423.825,12,384,304.76
+swinv2_base_window12to24_192to384_22kft1k,28.14,423.938,12,384,87.92
+beit_large_patch16_384,25.12,475.56,12,384,305.0
+volo_d3_448,23.79,333.686,8,448,86.63
+nfnet_f5,22.84,694.067,16,416,377.21
+resnetv2_152x2_bitm,22.69,350.236,8,448,236.34
+vit_giant_patch14_224,22.29,356.113,8,224,1012.61
+dm_nfnet_f5,20.95,756.72,16,416,377.21
+xcit_medium_24_p8_384_dist,19.97,397.272,8,384,84.32
+efficientnet_b8,19.9,297.659,6,672,87.41
+tf_efficientnet_b8_ap,19.66,301.198,6,672,87.41
+tf_efficientnet_b8,19.65,301.246,6,672,87.41
+nfnet_f6,18.5,641.193,12,448,438.36
+resnetv2_101x3_bitm,18.0,442.742,8,448,387.93
+volo_d4_448,16.87,353.154,6,448,193.41
+swinv2_large_window12to24_192to384_22kft1k,16.59,359.187,6,384,196.74
+dm_nfnet_f6,15.07,522.261,8,448,438.36
+swinv2_cr_huge_384,12.92,461.964,6,384,657.94
+nfnet_f7,12.67,622.861,8,480,499.5
+cait_m36_384,11.76,506.439,6,384,271.22
+xcit_large_24_p8_384_dist,11.53,516.755,6,384,188.93
+volo_d5_448,11.08,357.783,4,448,295.91
+tf_efficientnet_l2_ns_475,10.91,360.832,4,475,480.31
+beit_large_patch16_512,9.42,422.333,4,512,305.67
+volo_d5_512,7.72,385.462,3,512,296.09
+resnetv2_152x4_bitm,4.91,404.529,2,480,936.53
+cait_m48_448,4.71,419.69,2,448,356.46
+efficientnet_l2,3.43,285.826,1,800,480.31
+tf_efficientnet_l2_ns,3.42,287.247,1,800,480.31
diff --git a/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv b/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv
deleted file mode 100644
index e1c7a27b..00000000
--- a/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv
+++ /dev/null
@@ -1,752 +0,0 @@
-model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
-tinynet_e,11865.58,41.98,512,106,2.04
-mobilenetv3_small_050,9629.08,51.965,512,224,1.59
-lcnet_035,9606.99,52.813,512,224,1.64
-lcnet_050,8308.1,61.144,512,224,1.88
-tf_mobilenetv3_small_minimal_100,8177.36,62.078,512,224,2.04
-tinynet_d,7868.57,64.271,512,152,2.34
-mobilenetv3_small_075,7711.11,65.691,512,224,2.04
-mobilenetv3_small_100,7460.55,67.914,512,224,2.54
-tf_mobilenetv3_small_075,7072.94,71.668,512,224,2.04
-tf_mobilenetv3_small_100,6822.85,74.336,512,224,2.54
-levit_128s,6307.22,80.265,512,224,7.78
-lcnet_075,5771.69,88.22,512,224,2.36
-lcnet_100,5340.01,95.349,512,224,2.95
-mnasnet_small,4625.32,109.825,512,224,2.03
-mnasnet_050,4551.97,111.686,512,224,2.22
-levit_128,4410.33,114.704,512,224,9.21
-mixer_s32_224,4217.66,120.85,512,224,19.1
-mobilenetv2_035,4180.28,121.712,512,224,1.68
-gernet_s,4116.78,123.681,512,224,8.17
-tinynet_c,4103.49,123.752,512,184,2.46
-semnasnet_050,4028.68,126.209,512,224,2.08
-levit_192,3811.4,133.194,512,224,10.95
-vit_small_patch32_224,3700.17,137.556,512,224,22.88
-lcnet_150,3681.41,138.606,512,224,4.5
-gluon_resnet18_v1b,3581.02,142.641,512,224,11.69
-resnet18,3574.82,142.871,512,224,11.69
-ssl_resnet18,3574.64,142.896,512,224,11.69
-swsl_resnet18,3565.29,143.268,512,224,11.69
-mobilenetv2_050,3526.73,144.403,512,224,1.97
-vit_tiny_r_s16_p8_224,3365.24,151.299,512,224,6.34
-mobilenetv3_large_075,3334.18,152.721,512,224,3.99
-ese_vovnet19b_slim_dw,3240.01,157.539,512,224,1.9
-seresnet18,3217.3,158.65,512,224,11.78
-tf_mobilenetv3_large_minimal_100,3209.68,158.819,512,224,3.92
-legacy_seresnet18,3142.19,162.435,512,224,11.78
-mnasnet_075,3119.09,163.378,512,224,3.17
-tf_mobilenetv3_large_075,3090.56,164.803,512,224,3.99
-ghostnet_050,3063.05,165.85,512,224,2.59
-mobilenetv3_rw,3014.78,168.962,512,224,5.48
-mobilenetv3_large_100,2992.21,170.226,512,224,5.48
-mobilenetv3_large_100_miil,2990.87,170.323,512,224,5.48
-levit_256,2894.46,175.762,512,224,18.89
-hardcorenas_a,2868.48,177.792,512,224,5.26
-resnet18d,2834.12,180.284,512,224,11.71
-mnasnet_100,2827.14,180.334,512,224,4.38
-mnasnet_b1,2827.02,180.326,512,224,4.38
-tf_mobilenetv3_large_100,2779.62,183.335,512,224,5.48
-tinynet_b,2747.1,185.348,512,188,3.73
-hardcorenas_b,2668.69,190.927,512,224,5.18
-semnasnet_075,2655.76,191.892,512,224,2.91
-hardcorenas_c,2631.09,193.667,512,224,5.52
-ese_vovnet19b_slim,2599.09,196.628,512,224,3.17
-mobilenetv2_075,2533.52,201.317,512,224,2.64
-spnasnet_100,2511.06,202.936,512,224,4.42
-tf_efficientnetv2_b0,2494.41,204.074,512,224,7.14
-hardcorenas_d,2465.48,206.526,512,224,7.5
-levit_256d,2462.33,206.435,512,224,26.21
-mnasnet_a1,2405.65,211.939,512,224,3.89
-semnasnet_100,2399.02,212.51,512,224,3.89
-mobilenetv2_100,2378.23,214.513,512,224,3.5
-regnetx_002,2343.58,217.787,512,224,2.68
-tinynet_a,2256.09,225.69,512,192,6.19
-ghostnet_100,2255.1,225.72,512,224,5.18
-fbnetc_100,2254.08,226.169,512,224,5.57
-regnety_002,2253.77,226.257,512,224,3.16
-efficientnet_lite0,2211.3,230.81,512,224,4.65
-hardcorenas_f,2190.03,232.713,512,224,8.2
-hardcorenas_e,2162.31,235.693,512,224,8.07
-tv_resnet34,2075.27,246.161,512,224,21.8
-resnet34,2068.19,246.986,512,224,21.8
-gluon_resnet34_v1b,2067.71,247.057,512,224,21.8
-skresnet18,2066.34,247.158,512,224,11.96
-tf_efficientnet_lite0,2054.44,248.465,512,224,4.65
-resnetblur18,1969.59,259.6,512,224,11.69
-resnet26,1968.95,259.579,512,224,16.0
-gernet_m,1919.3,266.068,512,224,21.14
-ese_vovnet19b_dw,1895.91,269.566,512,224,6.54
-nf_resnet26,1892.25,270.084,512,224,16.0
-hrnet_w18_small,1887.88,269.862,512,224,13.19
-seresnet34,1853.44,275.372,512,224,21.96
-mnasnet_140,1845.29,276.683,512,224,7.12
-legacy_seresnet34,1806.55,282.531,512,224,21.96
-resnet34d,1806.5,282.837,512,224,21.82
-efficientnet_b0,1788.38,213.649,384,224,5.29
-levit_384,1780.35,286.471,512,224,39.13
-mobilenetv2_110d,1767.81,216.252,384,224,4.52
-rexnetr_100,1752.61,217.959,384,224,4.88
-selecsls42,1747.75,292.316,512,224,30.35
-selecsls42b,1738.89,293.814,512,224,32.46
-deit_tiny_patch16_224,1689.9,302.152,512,224,5.72
-tf_efficientnet_b0_ap,1684.9,226.862,384,224,5.29
-tf_efficientnet_b0_ns,1683.36,227.058,384,224,5.29
-tf_efficientnet_b0,1683.23,227.077,384,224,5.29
-vit_tiny_patch16_224,1683.04,303.395,512,224,5.72
-deit_tiny_distilled_patch16_224,1666.5,306.386,512,224,5.91
-semnasnet_140,1636.74,311.892,512,224,6.11
-efficientnet_es,1623.57,314.604,512,224,5.44
-efficientnet_es_pruned,1623.07,314.728,512,224,5.44
-mixer_b32_224,1621.79,314.927,512,224,60.29
-tf_efficientnet_es,1614.49,316.384,512,224,5.44
-resnet26d,1611.26,317.273,512,224,16.01
-ghostnet_130,1598.03,319.078,512,224,7.36
-tf_efficientnetv2_b1,1597.89,238.836,384,240,8.14
-repvgg_b0,1575.31,323.975,512,224,15.82
-pit_ti_224,1548.89,329.683,512,224,4.85
-pit_ti_distilled_224,1548.6,329.749,512,224,5.1
-resmlp_12_224,1545.21,330.553,512,224,15.35
-resmlp_12_distilled_224,1540.69,331.552,512,224,15.35
-mobilenetv2_140,1540.03,248.569,384,224,6.11
-vit_base_patch32_224,1513.69,337.426,512,224,88.22
-vit_base_patch32_224_sam,1513.5,337.457,512,224,88.22
-selecsls60,1477.69,345.619,512,224,30.67
-selecsls60b,1473.48,346.601,512,224,32.77
-nf_seresnet26,1470.65,347.478,512,224,17.4
-xcit_nano_12_p16_224,1446.71,352.118,512,224,3.05
-xcit_nano_12_p16_224_dist,1446.49,352.205,512,224,3.05
-mixer_s16_224,1421.1,359.737,512,224,18.53
-efficientnet_lite1,1418.43,179.546,256,240,5.42
-efficientnet_b1_pruned,1373.85,371.198,512,240,6.33
-dla46_c,1358.21,376.236,512,224,1.3
-nf_ecaresnet26,1357.53,376.618,512,224,16.0
-poolformer_s12,1347.4,379.311,512,224,11.92
-rexnetr_130,1344.64,189.254,256,224,7.61
-tf_efficientnet_lite1,1343.17,189.621,256,240,5.42
-mobilenetv2_120d,1310.43,194.218,256,224,5.83
-resnetv2_50,1297.38,393.874,512,224,25.55
-gernet_l,1283.43,398.072,512,256,31.08
-rexnet_100,1272.36,300.69,384,224,4.8
-pit_xs_distilled_224,1254.74,407.184,512,224,11.0
-pit_xs_224,1254.0,407.428,512,224,10.62
-gmixer_12_224,1249.86,408.85,512,224,12.7
-resnet26t,1229.42,415.965,512,256,16.01
-vit_small_patch32_384,1222.24,418.08,512,384,22.92
-gluon_resnet50_v1b,1211.76,316.088,384,224,25.56
-resnet50,1209.87,316.583,384,224,25.56
-swsl_resnet50,1207.82,317.131,384,224,25.56
-ssl_resnet50,1206.46,317.499,384,224,25.56
-tv_resnet50,1206.19,317.554,384,224,25.56
-fbnetv3_b,1183.98,322.691,384,256,8.6
-rexnetr_150,1180.6,215.678,256,224,9.78
-skresnet34,1172.64,435.505,512,224,22.28
-botnet26t_256,1165.39,328.958,384,256,12.49
-regnetx_004,1156.64,441.6,512,224,5.16
-tf_efficientnetv2_b2,1153.57,220.384,256,260,10.1
-mobilevit_xxs,1138.13,336.274,384,256,1.27
-repvgg_a2,1135.99,449.884,512,224,28.21
-fbnetv3_d,1135.22,223.716,256,256,10.31
-resnetv2_50t,1134.34,450.569,512,224,25.57
-resnetv2_50d,1133.08,451.042,512,224,25.57
-gluon_resnet50_v1c,1130.59,338.824,384,224,25.58
-halonet26t,1113.35,344.34,384,256,12.48
-efficientnet_lite2,1098.34,232.132,256,260,6.09
-dla34,1084.57,471.49,512,224,15.74
-mixnet_s,1077.24,474.033,512,224,4.13
-resnet50d,1072.54,357.199,384,224,25.58
-gluon_resnet50_v1d,1071.22,357.651,384,224,25.58
-resnet50t,1070.87,357.75,384,224,25.57
-xcit_tiny_12_p16_224,1059.54,481.47,512,224,6.72
-xcit_tiny_12_p16_224_dist,1056.83,482.712,512,224,6.72
-vit_tiny_r_s16_p8_384,1051.35,364.401,384,384,6.36
-convnext_nano_hnf,1047.46,365.815,384,224,15.59
-tf_efficientnet_lite2,1043.72,244.303,256,260,6.09
-legacy_seresnext26_32x4d,1042.93,490.306,512,224,16.79
-regnety_004,1025.72,498.016,512,224,4.34
-resnet32ts,1024.45,249.318,256,256,17.96
-res2net50_48w_2s,1015.98,377.161,384,224,25.29
-tf_efficientnet_b1,1013.9,251.028,256,240,7.79
-tf_efficientnet_b1_ap,1013.6,251.079,256,240,7.79
-tf_efficientnet_b1_ns,1013.45,251.129,256,240,7.79
-resnet33ts,1011.87,252.405,256,256,19.68
-vit_small_resnet26d_224,1011.11,378.737,384,224,63.61
-vovnet39a,996.22,513.329,512,224,22.6
-seresnext26d_32x4d,992.71,386.155,384,224,16.81
-seresnext26tn_32x4d,991.03,386.816,384,224,16.81
-seresnext26t_32x4d,990.93,386.864,384,224,16.81
-legacy_seresnet50,981.61,390.065,384,224,28.09
-efficientnet_em,977.99,260.806,256,240,6.9
-dla46x_c,974.57,524.617,512,224,1.07
-tf_efficientnet_em,973.77,261.927,256,240,6.9
-tf_mixnet_s,968.67,527.275,512,224,4.13
-eca_resnet33ts,964.37,264.809,256,256,19.68
-crossvit_tiny_240,956.47,399.879,384,240,7.01
-seresnet33ts,956.02,266.975,256,256,19.78
-crossvit_9_240,952.71,401.653,384,240,8.55
-efficientnet_b1,949.11,268.27,256,256,7.79
-seresnet50,945.63,404.935,384,224,28.09
-resnetaa50d,943.45,406.185,384,224,25.58
-gluon_resnet50_v1s,943.41,406.213,384,224,25.68
-ecaresnetlight,941.44,542.944,512,224,30.16
-ese_vovnet39b,941.23,543.33,512,224,24.57
-ecaresnext26t_32x4d,941.0,407.528,384,224,15.41
-dla60,940.59,407.297,384,224,22.04
-ecaresnext50t_32x4d,939.56,408.147,384,224,15.41
-eca_vovnet39b,935.89,546.442,512,224,22.6
-convit_tiny,932.74,410.683,384,224,5.71
-gcresnet33ts,930.55,274.114,256,256,19.88
-gmlp_ti16_224,928.92,411.858,384,224,5.87
-crossvit_9_dagger_240,926.84,412.865,384,240,8.78
-cspresnet50,926.15,413.781,384,256,21.62
-vgg11,923.83,554.05,512,224,132.86
-dla60x_c,916.37,557.77,512,224,1.32
-resnetblur50,915.4,418.683,384,224,25.56
-vit_base2_patch32_256,908.46,562.788,512,256,119.46
-ecaresnet50d_pruned,905.82,564.295,512,224,19.94
-rexnetr_200,893.29,213.797,192,224,16.52
-deit_small_patch16_224,893.26,429.034,384,224,22.05
-lambda_resnet26rpt_256,890.56,215.0,192,256,10.99
-vit_small_patch16_224,886.7,432.227,384,224,22.05
-cspresnext50,880.67,435.197,384,224,20.57
-nf_seresnet50,879.83,435.274,384,224,28.09
-cspresnet50w,877.16,436.915,384,256,28.12
-dpn68b,876.72,436.795,384,224,12.61
-selecsls84,869.46,587.629,512,224,50.95
-cspresnet50d,864.94,443.102,384,256,21.64
-hrnet_w18_small_v2,863.89,590.316,512,224,15.6
-deit_small_distilled_patch16_224,862.29,296.032,256,224,22.44
-resnetrs50,858.46,446.055,384,224,35.69
-densenet121,847.31,300.374,256,224,7.98
-seresnet50t,845.39,301.672,256,224,28.1
-tv_densenet121,843.62,301.628,256,224,7.98
-gluon_resnext50_32x4d,836.83,458.055,384,224,25.03
-rexnet_150,836.6,304.881,256,224,9.73
-tv_resnext50_32x4d,834.19,459.519,384,224,25.03
-swsl_resnext50_32x4d,834.14,459.541,384,224,25.03
-ssl_resnext50_32x4d,832.93,460.219,384,224,25.03
-resnext50_32x4d,832.41,460.523,384,224,25.03
-dpn68,829.49,461.803,384,224,12.61
-res2net50_26w_4s,828.02,307.899,256,224,25.7
-vovnet57a,825.25,464.451,384,224,36.64
-resnetblur50d,824.95,309.477,256,224,25.58
-pit_s_224,821.86,310.612,256,224,23.46
-efficientnet_b2_pruned,819.89,310.747,256,260,8.31
-pit_s_distilled_224,815.65,312.988,256,224,24.04
-skresnet50,813.96,313.131,256,224,25.8
-vgg11_bn,808.62,474.647,384,224,132.87
-densenet121d,807.2,315.378,256,224,8.0
-vit_base_resnet26d_224,803.08,476.892,384,224,101.4
-nf_ecaresnet50,802.77,477.356,384,224,25.56
-rexnet_130,798.18,319.593,256,224,7.56
-tf_efficientnet_b2_ap,795.21,239.963,192,260,9.11
-tf_efficientnet_b2,794.4,240.207,192,260,9.11
-regnetx_006,793.57,644.37,512,224,6.2
-tf_efficientnet_b2_ns,792.71,240.732,192,260,9.11
-gcresnet50t,789.8,322.677,256,256,25.9
-regnety_006,787.34,649.188,512,224,6.06
-ese_vovnet57b,786.57,487.301,384,224,38.61
-ecaresnet50d,779.07,327.677,256,224,25.58
-gluon_inception_v3,773.52,495.019,384,299,23.83
-inception_v3,772.81,495.53,384,299,23.83
-tf_inception_v3,770.52,496.982,384,299,23.83
-resnext50d_32x4d,766.06,333.341,256,224,25.05
-res2net50_14w_8s,764.36,332.765,256,224,25.06
-seresnetaa50d,763.26,334.261,256,224,28.11
-resnetv2_101,757.08,336.665,256,224,44.54
-mobilevit_xs,756.94,252.56,192,256,2.32
-resmlp_24_224,756.42,336.919,256,224,30.02
-resmlp_24_distilled_224,756.42,336.97,256,224,30.02
-adv_inception_v3,750.25,510.458,384,299,23.83
-skresnet50d,748.96,340.43,256,224,25.82
-dla60_res2net,743.7,342.834,256,224,20.85
-sehalonet33ts,741.65,344.36,256,256,13.69
-densenetblur121d,741.17,343.605,256,224,8.0
-resnet101,732.48,347.987,256,224,44.55
-gluon_resnet101_v1b,731.78,348.301,256,224,44.55
-efficientnet_b0_gn,728.3,350.425,256,224,5.29
-tv_resnet101,727.94,350.179,256,224,44.55
-efficientnet_b2a,716.29,266.588,192,288,9.11
-nf_resnet50,716.15,535.346,384,288,25.56
-nf_resnet101,716.05,534.647,384,224,44.55
-efficientnet_b2,714.18,267.365,192,288,9.11
-ecaresnet101d_pruned,711.06,718.295,512,224,24.88
-darknet53,702.74,363.511,256,256,41.61
-gluon_resnet101_v1c,701.82,363.226,256,224,44.57
-resnetv2_101d,700.7,363.831,256,224,44.56
-densenet169,700.47,362.977,256,224,14.15
-gluon_seresnext50_32x4d,700.46,364.36,256,224,27.56
-seresnext50_32x4d,699.23,365.027,256,224,27.56
-legacy_seresnext50_32x4d,697.76,365.743,256,224,27.56
-nf_regnet_b0,696.64,733.751,512,256,8.76
-dla60x,692.36,368.785,256,224,17.35
-poolformer_s24,685.09,372.431,256,224,21.39
-gluon_resnet101_v1d,678.31,375.898,256,224,44.57
-efficientnetv2_rw_t,675.19,282.266,192,288,13.65
-vgg13,667.6,575.009,384,224,133.05
-tf_efficientnetv2_b3,665.51,286.721,192,300,14.36
-convnext_tiny_hnf,664.96,384.0,256,224,28.59
-rexnet_200,662.14,288.822,192,224,16.37
-regnety_008,658.96,775.979,512,224,6.26
-wide_resnet50_2,657.26,583.464,384,224,68.88
-vit_small_r26_s32_224,656.89,388.437,256,224,36.43
-sebotnet33ts_256,656.8,194.107,128,256,13.7
-dla102,653.13,390.463,256,224,33.27
-vit_base_resnet50d_224,630.21,404.636,256,224,110.97
-mobilevit_s,629.43,303.928,192,256,5.58
-repvgg_b1,626.12,816.692,512,224,57.42
-gluon_resnet101_v1s,625.12,407.966,256,224,44.67
-resnetaa101d,624.52,408.356,256,224,44.57
-gmixer_24_224,623.55,409.084,256,224,24.72
-ecaresnet26t,622.79,410.514,256,320,16.01
-eca_botnext26ts_256,616.5,414.654,256,256,10.59
-resnext26ts,613.16,625.751,384,256,10.3
-eca_halonext26ts,603.84,423.35,256,256,10.76
-gc_efficientnetv2_rw_t,602.6,315.856,192,288,13.68
-eca_resnext26ts,600.19,425.981,256,256,10.3
-convnext_tiny,596.38,428.309,256,224,28.59
-seresnext26ts,596.22,428.706,256,256,10.39
-coat_lite_tiny,594.48,645.068,384,224,5.72
-regnetx_008,592.44,863.401,512,224,7.26
-semobilevit_s,588.43,325.035,192,256,5.74
-gcresnext26ts,588.04,434.525,256,256,10.48
-mixnet_m,587.11,652.551,384,224,5.01
-resnetv2_50x1_bit_distilled,582.57,328.74,192,224,25.55
-legacy_seresnet101,581.9,437.758,256,224,49.33
-cspdarknet53,581.74,439.027,256,256,27.64
-halonet50ts,578.04,331.194,192,256,22.73
-convnext_tiny_hnfd,577.71,442.141,256,224,28.63
-res2net50_26w_6s,575.17,443.355,256,224,37.05
-vgg13_bn,572.41,446.96,256,224,133.05
-resnetblur101d,571.53,446.389,256,224,44.57
-seresnet101,569.61,447.279,256,224,49.33
-xcit_small_12_p16_224,569.05,448.106,256,224,26.25
-coat_lite_mini,568.16,675.001,384,224,11.01
-xcit_small_12_p16_224_dist,566.71,449.975,256,224,26.25
-efficientnet_lite3,563.82,225.962,128,300,8.2
-tf_efficientnet_lite3,561.43,226.92,128,300,8.2
-tf_mixnet_m,548.78,698.227,384,224,5.01
-gluon_resnext101_32x4d,548.42,465.243,256,224,44.18
-swsl_resnext101_32x4d,547.31,466.21,256,224,44.18
-xcit_tiny_24_p16_224_dist,547.0,464.738,256,224,12.12
-ssl_resnext101_32x4d,546.67,466.798,256,224,44.18
-resnext101_32x4d,545.9,467.45,256,224,44.18
-xcit_tiny_24_p16_224,544.31,466.994,256,224,12.12
-densenet201,543.07,350.641,192,224,20.01
-vgg16,540.58,710.12,384,224,138.36
-twins_svt_small,538.2,474.088,256,224,24.06
-bat_resnext26ts,534.44,477.847,256,256,10.73
-mixer_b16_224_miil,533.51,479.062,256,224,59.88
-mixer_b16_224,533.49,479.056,256,224,59.88
-nf_seresnet101,527.72,482.805,256,224,49.33
-resnetv2_152,524.88,485.535,256,224,60.19
-gmlp_s16_224,524.3,364.698,192,224,19.42
-crossvit_small_240,523.32,365.287,192,240,26.86
-res2net101_26w_4s,521.59,365.626,192,224,45.21
-botnet50ts_256,517.93,246.212,128,256,22.74
-efficientnet_b3_pruned,516.58,493.917,256,300,9.86
-vit_base_r26_s32_224,515.2,371.411,192,224,101.38
-nf_regnet_b3,513.91,496.324,256,320,18.59
-res2next50,505.83,504.834,256,224,24.67
-dla102x,504.27,379.22,192,224,26.31
-xcit_nano_12_p16_384_dist,504.22,505.947,256,384,3.05
-resnet50_gn,503.53,380.489,192,224,25.56
-mixnet_l,503.2,507.181,256,224,7.33
-resnet152,499.49,382.202,192,224,60.19
-gluon_resnet152_v1b,499.26,382.341,192,224,60.19
-resmlp_36_224,498.84,382.725,192,224,44.69
-tv_resnet152,497.88,383.389,192,224,60.19
-mixer_l32_224,496.73,385.058,192,224,206.94
-resmlp_36_distilled_224,495.13,385.629,192,224,44.69
-visformer_tiny,493.66,1036.466,512,224,10.32
-halo2botnet50ts_256,493.38,258.451,128,256,22.64
-cait_xxs24_224,493.27,516.559,256,224,11.96
-xception,492.05,259.342,128,299,22.86
-vit_base_patch32_384,491.11,520.434,256,384,88.3
-vit_large_patch32_224,490.76,520.06,256,224,306.54
-gluon_resnet152_v1c,485.71,393.072,192,224,60.21
-resnetv2_152d,485.01,393.607,192,224,60.2
-res2net50_26w_8s,477.37,400.062,192,224,48.4
-crossvit_15_240,477.11,400.634,192,240,27.53
-gluon_resnet152_v1d,473.85,402.963,192,224,60.21
-tf_mixnet_l,473.66,538.956,256,224,7.33
-ecaresnet101d,472.0,540.618,256,224,44.57
-vgg16_bn,467.67,547.066,256,224,138.37
-crossvit_15_dagger_240,464.95,411.108,192,240,28.21
-nf_ecaresnet101,463.81,550.107,256,224,44.55
-efficientnet_el,455.11,280.196,128,300,10.59
-poolformer_s36,454.99,420.116,192,224,30.86
-efficientnet_el_pruned,454.4,280.625,128,300,10.59
-swin_tiny_patch4_window7_224,453.0,564.154,256,224,28.29
-gluon_resnet152_v1s,449.55,424.842,192,224,60.32
-vgg19,448.89,855.203,384,224,143.67
-fbnetv3_g,446.79,284.505,128,288,16.62
-ese_vovnet99b,446.63,571.682,256,224,63.2
-gluon_seresnext101_32x4d,445.56,428.728,192,224,48.96
-legacy_seresnext101_32x4d,443.64,430.564,192,224,48.96
-seresnext101_32x4d,442.87,431.396,192,224,48.96
-tf_efficientnet_el,442.83,287.962,128,300,10.59
-skresnext50_32x4d,441.31,578.719,256,224,27.48
-twins_pcpvt_small,440.34,579.752,256,224,24.11
-dla60_res2next,439.19,581.507,256,224,17.03
-ese_vovnet39b_evos,437.95,291.344,128,224,24.58
-dla169,436.27,437.707,192,224,53.39
-hrnet_w32,434.6,437.22,192,224,41.23
-hrnet_w18,419.74,605.263,256,224,21.3
-swin_s3_tiny_224,418.05,458.308,192,224,28.33
-convit_small,417.6,458.784,192,224,27.78
-vit_tiny_patch16_384,413.0,309.097,128,384,5.79
-vit_small_resnet50d_s16_224,412.12,464.661,192,224,57.53
-vgg19_bn,402.52,635.599,256,224,143.68
-inception_v4,396.8,481.741,192,299,42.68
-ecaresnet50t,394.31,323.698,128,320,25.57
-tf_efficientnet_b3,389.49,327.004,128,300,12.23
-legacy_seresnet152,389.45,489.771,192,224,66.82
-tf_efficientnet_b3_ap,388.84,327.542,128,300,12.23
-tf_efficientnet_b3_ns,388.78,327.565,128,300,12.23
-xcit_nano_12_p8_224_dist,387.21,659.394,256,224,3.05
-convnext_small,384.54,497.552,192,224,50.22
-xcit_nano_12_p8_224,384.13,664.719,256,224,3.05
-regnetx_016,380.23,1345.67,512,224,9.19
-swin_v2_cr_tiny_224,379.31,504.955,192,224,28.33
-repvgg_b2,378.58,1351.362,512,224,89.02
-densenet161,378.04,336.272,128,224,28.68
-haloregnetz_b,373.44,684.066,256,224,11.68
-seresnet152,368.67,343.988,128,224,66.82
-volo_d1_224,368.14,346.356,128,224,26.63
-dla102x2,362.23,351.833,128,224,41.28
-swin_v2_cr_tiny_ns_224,361.82,529.379,192,224,28.33
-vit_base_patch16_224_miil,361.72,353.077,128,224,86.54
-nest_tiny,360.72,353.977,128,224,17.06
-gluon_resnext101_64x4d,360.58,353.482,128,224,83.46
-jx_nest_tiny,360.01,354.671,128,224,17.06
-wide_resnet101_2,358.04,534.717,192,224,126.89
-deit_base_patch16_224,356.6,358.132,128,224,86.57
-vit_base_patch16_224,355.86,358.875,128,224,86.57
-vit_base_patch16_224_sam,355.66,359.078,128,224,86.57
-resnet200,355.09,357.637,128,224,64.67
-regnety_016,353.22,1447.724,512,224,11.2
-xception41p,353.13,361.611,128,299,26.91
-deit_base_distilled_patch16_224,352.06,362.734,128,224,87.34
-efficientnet_b3a,350.83,363.194,128,320,12.23
-efficientnet_b3,350.78,363.262,128,320,12.23
-resnest14d,349.46,1464.67,512,224,10.61
-crossvit_18_240,347.41,366.517,128,240,43.27
-hrnet_w30,347.21,732.586,256,224,37.71
-inception_resnet_v2,342.0,558.107,192,299,55.84
-ens_adv_inception_resnet_v2,341.96,558.12,192,299,55.84
-crossvit_18_dagger_240,338.55,376.059,128,240,44.27
-efficientnet_lite4,334.77,189.845,64,380,13.01
-dpn92,332.74,767.899,256,224,37.67
-nf_regnet_b1,332.08,1540.325,512,288,10.22
-coat_lite_small,330.21,579.992,192,224,19.84
-resnet101d,329.64,386.792,128,320,44.57
-mixnet_xl,327.95,583.611,192,224,11.9
-beit_base_patch16_224,326.86,390.577,128,224,86.53
-tf_efficientnet_lite4,322.3,197.262,64,380,13.01
-resnetrs101,319.8,398.042,128,288,63.62
-twins_pcpvt_base,319.06,599.001,192,224,43.83
-cait_xxs36_224,317.98,398.889,128,224,17.3
-gcresnext50ts,316.46,605.234,192,256,15.67
-resnetv2_50d_gn,315.97,404.249,128,288,25.57
-repvgg_b3,314.46,1220.096,384,224,123.09
-gluon_seresnext101_64x4d,311.54,408.706,128,224,88.23
-twins_svt_base,310.17,410.642,128,224,56.07
-regnetz_d8,308.13,206.12,64,320,23.37
-poolformer_m36,305.55,417.03,128,224,56.17
-xception41,305.2,418.184,128,299,26.97
-resnetv2_50d_frn,299.55,426.215,128,224,25.59
-efficientnetv2_s,298.13,319.843,96,384,21.46
-efficientnetv2_rw_s,294.35,215.203,64,384,23.94
-swin_small_patch4_window7_224,293.69,434.018,128,224,49.61
-tf_efficientnetv2_s,292.33,326.193,96,384,21.46
-hrnet_w40,292.01,652.817,192,224,57.56
-tf_efficientnetv2_s_in21ft1k,290.7,328.02,96,384,21.46
-pit_b_224,290.65,329.366,96,224,73.76
-xcit_small_24_p16_224_dist,289.62,438.649,128,224,47.67
-xcit_small_24_p16_224,289.57,438.594,128,224,47.67
-regnetz_005,289.37,1767.969,512,224,7.12
-pit_b_distilled_224,289.24,330.966,96,224,74.79
-nf_regnet_b2,283.49,1804.47,512,272,14.31
-dpn98,282.57,451.401,128,224,61.57
-gluon_xception65,280.65,340.128,96,299,39.92
-convnext_base,280.05,455.331,128,224,88.59
-convnext_base_in22ft1k,278.55,457.745,128,224,88.59
-convnext_small_in22ft1k,278.52,457.835,128,224,88.59
-resnet51q,278.38,688.843,192,288,35.7
-convnext_tiny_in22ft1k,278.23,458.306,128,224,88.59
-xception65,278.17,343.202,96,299,39.92
-nf_regnet_b4,276.19,461.347,128,384,30.21
-xcit_tiny_12_p8_224,275.08,463.559,128,224,6.71
-xcit_tiny_12_p8_224_dist,274.14,465.135,128,224,6.71
-xception65p,273.65,466.496,128,299,39.82
-cait_s24_224,273.57,465.435,128,224,46.92
-hrnet_w48,266.71,475.16,128,224,77.47
-vit_small_patch16_18x2_224,263.99,482.238,128,224,64.67
-vit_small_patch16_36x1_224,259.67,367.102,96,224,64.67
-resnest50d_1s4x24d,257.47,992.99,256,224,25.68
-resnest26d,255.39,1502.806,384,224,17.07
-regnetz_c16,250.02,510.536,128,320,13.46
-gmlp_b16_224,249.07,383.895,96,224,73.08
-hrnet_w44,242.27,787.905,192,224,67.06
-twins_svt_large,238.88,533.776,128,224,99.27
-efficientnet_b4,238.09,266.775,64,384,19.34
-nest_small,237.16,403.167,96,224,38.35
-jx_nest_small,237.15,403.154,96,224,38.35
-swin_v2_cr_small_224,235.88,404.597,96,224,49.7
-resnetv2_50d_evob,235.37,406.693,96,224,25.59
-crossvit_base_240,233.19,410.026,96,240,105.03
-visformer_small,233.03,1647.198,384,224,40.22
-tf_efficientnet_b4_ns,232.84,272.816,64,380,19.34
-nfnet_l0,232.69,1098.999,256,288,35.07
-tf_efficientnet_b4_ap,232.56,273.059,64,380,19.34
-tresnet_m,232.35,2200.869,512,224,31.39
-tf_efficientnet_b4,232.32,273.464,64,380,19.34
-coat_tiny,232.24,549.137,128,224,5.5
-swin_s3_small_224,226.56,421.928,96,224,49.74
-twins_pcpvt_large,226.38,561.433,128,224,60.99
-eca_nfnet_l0,225.65,1133.48,256,288,24.14
-swin_base_patch4_window7_224,225.24,566.471,128,224,87.77
-vit_large_r50_s32_224,223.42,427.305,96,224,328.99
-densenet264,221.03,430.404,96,224,72.69
-resnetv2_50d_evos,220.72,288.818,64,288,25.59
-hrnet_w64,220.46,575.895,128,224,128.06
-convit_base,218.2,438.93,96,224,86.54
-resnet152d,215.82,442.51,96,320,60.21
-resnext101_64x4d,215.79,443.36,96,288,83.46
-xception71,214.33,296.52,64,299,42.34
-vit_small_r26_s32_384,213.14,298.982,64,384,36.47
-volo_d2_224,211.05,453.161,96,224,58.68
-vit_small_patch16_384,211.02,302.439,64,384,22.2
-dpn131,210.85,605.028,128,224,79.25
-xcit_medium_24_p16_224_dist,210.73,452.215,96,224,84.4
-xcit_medium_24_p16_224,210.37,452.835,96,224,84.4
-resnet61q,208.57,612.704,128,288,36.85
-mixnet_xxl,207.05,616.266,128,224,23.96
-vit_base_r50_s16_224,197.64,322.234,64,224,98.66
-coat_mini,197.23,646.961,128,224,10.34
-xcit_small_12_p16_384_dist,195.15,490.178,96,384,26.25
-poolformer_m48,192.74,495.644,96,224,73.47
-xcit_tiny_24_p16_384_dist,188.23,506.657,96,384,12.12
-seresnet200d,187.28,508.352,96,256,71.86
-ecaresnet200d,180.23,529.288,96,256,64.69
-regnetz_b16,180.04,1064.958,192,288,9.72
-convmixer_768_32,179.96,532.189,96,224,21.11
-repvgg_b1g4,179.05,2858.541,512,224,39.97
-regnetx_032,178.17,2153.981,384,224,15.3
-nest_base,178.06,357.8,64,224,67.72
-regnety_032,177.84,1438.077,256,288,19.44
-jx_nest_base,177.82,358.268,64,224,67.72
-resnest50d,177.64,1439.759,256,224,27.48
-gluon_senet154,176.66,540.173,96,224,115.09
-legacy_senet154,176.51,540.595,96,224,115.09
-swin_v2_cr_base_224,176.18,360.924,64,224,87.88
-senet154,175.91,542.436,96,224,115.09
-swin_s3_base_224,175.78,361.468,64,224,71.13
-dpn107,172.56,554.611,96,224,86.92
-seresnet152d,171.73,369.416,64,320,66.84
-resnetrs152,170.84,371.345,64,320,86.62
-halonet_h1,170.19,374.644,64,256,8.1
-resnet200d,166.41,381.713,64,320,64.69
-resnest50d_4s2x40d,165.16,1548.618,256,224,30.42
-efficientnet_b3_gn,165.05,386.066,64,320,11.73
-convnext_large_in22ft1k,165.0,580.132,96,224,197.77
-mixer_l16_224,164.87,580.828,96,224,208.2
-convnext_large,164.55,581.706,96,224,197.77
-regnetx_040,161.41,2377.974,384,224,22.12
-tnt_s_patch16_224,160.55,795.443,128,224,23.76
-regnety_040s_gn,150.6,848.376,128,224,20.65
-regnetx_080,149.33,2570.458,384,224,39.57
-efficientnetv2_m,148.8,319.462,48,416,54.14
-vit_large_patch32_384,148.01,430.873,64,384,306.63
-xcit_small_12_p8_224,147.15,433.155,64,224,26.21
-xcit_small_12_p8_224_dist,147.09,433.349,64,224,26.21
-ssl_resnext101_32x8d,147.0,869.242,128,224,88.79
-ig_resnext101_32x8d,146.08,874.69,128,224,88.79
-resnext101_32x8d,145.7,876.913,128,224,88.79
-swsl_resnext101_32x8d,145.58,877.666,128,224,88.79
-regnetz_e8,145.15,328.705,48,320,57.7
-volo_d3_224,144.0,442.004,64,224,86.33
-xcit_tiny_24_p8_224,141.24,676.422,96,224,12.11
-xcit_tiny_24_p8_224_dist,141.08,677.134,96,224,12.11
-resnetv2_50x1_bitm,139.17,344.083,48,448,25.55
-seresnet269d,135.41,466.832,64,256,113.67
-swin_large_patch4_window7_224,135.03,472.167,64,224,196.53
-xcit_nano_12_p8_384_dist,130.74,487.752,64,384,3.05
-tnt_b_patch16_224,128.41,745.748,96,224,65.41
-xcit_large_24_p16_224,126.55,502.346,64,224,189.1
-xcit_large_24_p16_224_dist,126.43,502.798,64,224,189.1
-efficientnetv2_rw_m,125.71,251.147,32,416,53.24
-regnetx_064,124.66,2052.691,256,224,26.21
-resnetrs200,122.11,388.798,48,320,93.21
-dm_nfnet_f0,120.79,1588.27,192,256,71.49
-regnety_040,120.68,1589.481,192,288,20.65
-nfnet_f0,120.42,2124.657,256,256,71.49
-regnetv_040,118.46,1079.092,128,288,20.64
-ese_vovnet99b_iabn,118.26,3243.909,384,224,63.2
-regnetz_b16_evos,116.8,546.096,64,288,9.74
-efficientnet_b0_g8_gn,116.53,2195.74,256,224,6.56
-regnetz_c16_evos,114.31,418.055,48,320,13.49
-swin_v2_cr_large_224,108.78,438.885,48,224,196.68
-tf_efficientnetv2_m_in21ft1k,108.7,291.236,32,480,54.14
-tf_efficientnetv2_m,108.35,292.175,32,480,54.14
-vit_large_patch16_224,108.17,442.193,48,224,304.33
-convnext_xlarge_in22ft1k,107.24,595.043,64,224,350.2
-crossvit_15_dagger_408,104.58,304.132,32,408,28.5
-tresnet_l,104.32,4904.502,512,224,55.99
-vit_base_patch16_18x2_224,104.09,458.533,48,224,256.73
-repvgg_b2g4,101.53,5041.523,512,224,61.76
-eca_nfnet_l1,100.88,1267.001,128,320,41.41
-beit_large_patch16_224,100.32,476.403,48,224,304.43
-xcit_small_24_p16_384_dist,99.8,477.482,48,384,47.67
-cspdarknet53_iabn,98.78,3885.053,384,256,27.64
-efficientnet_b5,96.37,329.642,32,456,30.39
-convnext_tiny_384_in22ft1k,96.12,497.65,48,384,88.59
-convnext_small_384_in22ft1k,96.06,497.96,48,384,88.59
-convnext_base_384_in22ft1k,95.88,498.886,48,384,88.59
-tf_efficientnet_b5,94.64,335.672,32,456,30.39
-tf_efficientnet_b5_ns,94.45,336.36,32,456,30.39
-tf_efficientnet_b5_ap,94.33,336.768,32,456,30.39
-regnetz_d8_evos,94.31,337.348,32,320,23.46
-xcit_tiny_12_p8_384_dist,94.1,508.387,48,384,6.71
-volo_d4_224,93.96,508.449,48,224,192.96
-regnetz_040h,93.67,681.392,64,320,28.94
-regnetz_040,93.38,683.596,64,320,27.12
-volo_d1_384,93.34,341.484,32,384,26.78
-deit_base_patch16_384,91.68,348.207,32,384,86.86
-tresnet_xl,91.43,4196.241,384,224,78.44
-vit_base_patch16_384,91.19,350.061,32,384,86.86
-swin_v2_cr_tiny_384,90.49,352.393,32,384,28.33
-cspresnext50_iabn,90.44,4243.373,384,256,20.57
-deit_base_distilled_patch16_384,89.77,355.647,32,384,87.63
-resnest101e,89.04,1435.031,128,256,48.28
-cait_xxs24_384,87.86,361.779,32,384,12.03
-resnetv2_152x2_bit_teacher,86.24,368.749,32,224,236.34
-nf_regnet_b5,85.98,741.696,64,456,49.74
-resnetv2_101x1_bitm,85.74,371.65,32,448,44.54
-repvgg_b3g4,84.87,4523.286,384,224,83.83
-seresnext101_32x8d,82.05,777.804,64,288,93.57
-crossvit_18_dagger_408,78.89,302.153,24,408,44.61
-regnetx_120,77.59,3298.519,256,224,46.11
-beit_base_patch16_384,77.5,308.622,24,384,86.74
-ecaresnet269d,77.22,409.805,32,352,102.09
-vit_large_patch14_224,76.42,417.211,32,224,304.2
-pnasnet5large,76.37,415.337,32,331,86.06
-regnety_120,76.06,2523.147,192,224,51.82
-xcit_small_24_p8_224_dist,74.34,427.129,32,224,47.63
-xcit_small_24_p8_224,74.3,427.381,32,224,47.63
-vit_large_r50_s32_384,74.29,428.354,32,384,329.09
-resnetrs270,73.96,426.877,32,352,129.86
-regnety_064,72.72,1758.529,128,288,30.58
-xcit_medium_24_p16_384_dist,72.0,441.154,32,384,84.4
-regnetv_064,71.99,1776.312,128,288,30.58
-regnetz_d32,71.61,892.143,64,320,27.58
-resmlp_big_24_224,67.65,471.502,32,224,129.14
-resmlp_big_24_distilled_224,67.55,472.229,32,224,129.14
-resmlp_big_24_224_in22ft1k,67.54,472.283,32,224,129.14
-regnety_320,67.39,1897.989,128,224,145.05
-nasnetalarge,66.66,475.073,32,331,88.75
-regnetx_160,64.8,2961.678,192,224,54.28
-regnety_080,64.56,1981.56,128,288,39.18
-efficientnet_b3_g8_gn,62.22,1026.855,64,320,14.25
-convmixer_1024_20_ks9_p14,61.3,4175.375,256,224,24.38
-swin_base_patch4_window12_384,61.18,390.429,24,384,87.9
-cait_xs24_384,60.88,391.766,24,384,26.67
-efficientnetv2_l,60.88,258.466,16,480,118.52
-efficientnet_b0_g16_evos,60.54,6341.858,384,224,8.11
-volo_d5_224,60.14,529.003,32,224,295.46
-tf_efficientnetv2_l_in21ft1k,59.38,265.08,16,480,118.52
-tf_efficientnetv2_l,59.33,265.325,16,480,118.52
-vit_base_patch8_224,58.77,271.439,16,224,86.58
-cait_xxs36_384,57.81,411.427,24,384,17.37
-convnext_large_384_in22ft1k,56.3,566.668,32,384,197.77
-xcit_medium_24_p8_224,55.39,574.459,32,224,84.32
-xcit_medium_24_p8_224_dist,55.37,574.617,32,224,84.32
-vit_base_r50_s16_384,54.43,292.359,16,384,98.95
-vit_base_resnet50_384,54.42,292.382,16,384,98.95
-swin_v2_cr_small_384,54.01,293.873,16,384,49.7
-tresnet_m_448,53.37,3595.072,192,448,31.39
-volo_d2_384,52.96,300.372,16,384,58.87
-xcit_small_12_p8_384_dist,50.48,473.643,24,384,26.21
-regnety_160,48.6,1974.142,96,288,83.59
-xcit_tiny_24_p8_384_dist,47.78,666.46,32,384,12.11
-swsl_resnext101_32x16d,47.43,2022.519,96,224,194.03
-ig_resnext101_32x16d,47.42,2022.744,96,224,194.03
-ssl_resnext101_32x16d,47.33,2027.008,96,224,194.03
-resnetrs350,46.92,503.827,24,384,163.96
-regnetx_320,46.0,2781.369,128,224,107.81
-cait_s24_384,45.47,349.358,16,384,47.06
-eca_nfnet_l2,44.85,1424.203,64,384,56.72
-swin_v2_cr_huge_224,44.03,360.964,16,224,657.83
-xcit_large_24_p16_384_dist,43.83,544.238,24,384,189.1
-efficientnet_b6,42.4,374.556,16,528,43.04
-swin_v2_cr_base_384,41.62,382.084,16,384,87.88
-tf_efficientnet_b6,41.4,383.615,16,528,43.04
-tf_efficientnet_b6_ns,41.39,383.737,16,528,43.04
-tf_efficientnet_b6_ap,41.38,383.814,16,528,43.04
-nfnet_f1,40.44,2371.983,96,320,132.63
-dm_nfnet_f1,38.48,1661.038,64,320,132.63
-vit_huge_patch14_224,38.43,414.258,16,224,632.05
-swin_large_patch4_window12_384,37.29,427.283,16,384,196.74
-efficientnet_b7,36.33,216.757,8,600,66.35
-tf_efficientnetv2_xl_in21ft1k,36.25,325.472,12,512,208.12
-tf_efficientnet_b7_ap,35.67,220.798,8,600,66.35
-tf_efficientnet_b7_ns,35.48,221.953,8,600,66.35
-tf_efficientnet_b7,35.47,221.939,8,600,66.35
-efficientnetv2_xl,35.3,334.216,12,512,208.12
-convnext_xlarge_384_in22ft1k,34.93,456.323,16,384,350.2
-xcit_large_24_p8_224_dist,32.32,491.645,16,224,188.93
-xcit_large_24_p8_224,32.31,491.872,16,224,188.93
-densenet264d_iabn,32.2,3970.866,128,224,72.74
-resnetrs420,31.96,491.372,16,416,191.89
-resnetv2_50x3_bitm,31.49,507.255,16,448,217.32
-resnest200e,31.48,1519.686,48,320,70.2
-cait_s36_384,29.84,398.239,12,384,68.37
-resnetv2_152x2_bit_teacher_384,29.48,404.769,12,384,236.34
-vit_large_patch16_384,26.9,295.811,8,384,304.72
-xcit_small_24_p8_384_dist,25.67,620.053,16,384,47.63
-tresnet_l_448,25.26,5063.842,128,448,55.99
-swin_v2_cr_large_384,24.64,322.332,8,384,196.68
-eca_nfnet_l3,24.27,1315.168,32,448,72.04
-beit_large_patch16_384,23.0,345.85,8,384,305.0
-tresnet_xl_448,22.99,4172.388,96,448,78.44
-efficientnet_cc_b0_8e,22.43,42.825,1,224,24.01
-nfnet_f2,22.22,2156.946,48,352,193.78
-volo_d3_448,22.16,268.408,6,448,86.63
-vit_giant_patch14_224,21.83,363.834,8,224,1012.61
-dm_nfnet_f2,21.64,1475.547,32,352,193.78
-resnetv2_152x2_bitm,21.52,369.432,8,448,236.34
-efficientnet_cc_b0_4e,20.51,46.86,1,224,13.31
-tf_efficientnet_cc_b0_4e,19.96,48.206,1,224,13.31
-xcit_medium_24_p8_384_dist,18.25,434.872,8,384,84.32
-ig_resnext101_32x32d,18.09,1767.053,32,224,468.53
-tf_efficientnet_cc_b0_8e,17.78,54.484,1,224,24.01
-efficientnet_cc_b1_8e,17.74,54.107,1,240,39.72
-resnetv2_101x3_bitm,17.38,458.802,8,448,387.93
-tf_efficientnet_cc_b1_8e,17.01,56.332,1,240,39.72
-volo_d4_448,16.53,360.493,6,448,193.41
-resnest269e,13.1,1825.366,24,416,110.93
-efficientnet_b8,12.26,485.693,6,672,87.41
-nfnet_f3,12.1,1978.567,24,416,254.92
-tf_efficientnet_b8,11.89,500.911,6,672,87.41
-tf_efficientnet_b8_ap,11.89,500.858,6,672,87.41
-dm_nfnet_f3,11.77,2034.476,24,416,254.92
-cait_m36_384,11.53,516.589,6,384,271.22
-xcit_large_24_p8_384_dist,11.09,537.486,6,384,188.93
-volo_d5_448,10.86,365.099,4,448,295.91
-swin_v2_cr_huge_384,9.72,306.157,3,384,657.94
-convmixer_1536_20,9.61,4992.24,48,224,51.63
-tf_efficientnet_l2_ns_475,8.93,330.392,3,475,480.31
-ig_resnext101_32x48d,8.5,1880.833,16,224,828.41
-beit_large_patch16_512,8.47,351.949,3,512,305.67
-volo_d5_512,6.98,283.446,2,512,296.09
-nfnet_f4,6.43,1861.542,12,512,316.07
-dm_nfnet_f4,6.21,1926.442,12,512,316.07
-cait_m48_448,4.67,423.202,2,448,356.46
-nfnet_f5,4.64,1718.999,8,544,377.21
-dm_nfnet_f5,4.45,1789.915,8,544,377.21
-nfnet_f6,3.52,1695.187,6,576,438.36
-dm_nfnet_f6,3.37,1774.692,6,576,438.36
-resnetv2_152x4_bitm,3.2,310.383,1,480,936.53
-nfnet_f7,2.65,1499.45,4,608,499.5
-efficientnet_l2,2.12,466.427,1,800,480.31
-tf_efficientnet_l2_ns,2.09,472.26,1,800,480.31
diff --git a/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv b/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv
new file mode 100644
index 00000000..632456bd
--- /dev/null
+++ b/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv
@@ -0,0 +1,831 @@
+model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
+tinynet_e,11915.85,41.681,512,106,2.04
+mobilenetv3_small_050,11290.99,44.293,512,224,1.59
+lcnet_035,10015.98,50.125,512,224,1.64
+lcnet_050,9286.37,54.37,512,224,1.88
+tf_mobilenetv3_small_minimal_100,9042.22,55.986,512,224,2.04
+mobilenetv3_small_075,8679.98,58.254,512,224,2.04
+mobilenetv3_small_100,8035.08,62.981,512,224,2.54
+tinynet_d,7990.69,63.223,512,152,2.34
+tf_mobilenetv3_small_075,7930.1,63.8,512,224,2.04
+tf_mobilenetv3_small_100,7330.24,69.047,512,224,2.54
+lcnet_075,6950.91,73.156,512,224,2.36
+levit_128s,6539.16,77.346,512,224,7.78
+resnet10t,6318.63,80.774,512,176,5.44
+mnasnet_small,5607.09,90.422,512,224,2.03
+lcnet_100,5354.67,95.126,512,224,2.95
+mixer_s32_224,4943.04,103.013,512,224,19.1
+mobilenetv2_035,4789.43,106.101,512,224,1.68
+mnasnet_050,4680.08,108.62,512,224,2.22
+levit_128,4558.28,111.213,512,224,9.21
+cs3darknet_focus_s,4469.48,114.041,512,256,3.27
+vit_small_patch32_224,4445.76,114.324,512,224,22.88
+tinynet_c,4167.16,121.826,512,184,2.46
+gernet_s,4165.03,122.198,512,224,8.17
+cs3darknet_s,4110.51,124.007,512,256,3.28
+regnetx_002,4105.04,124.027,512,224,2.68
+mobilenetv2_050,4051.14,125.606,512,224,1.97
+vit_tiny_r_s16_p8_224,4025.23,126.328,512,224,6.34
+semnasnet_050,3904.91,130.185,512,224,2.08
+regnety_002,3777.81,134.562,512,224,3.16
+levit_192,3727.29,136.213,512,224,10.95
+ghostnet_050,3670.99,138.144,512,224,2.59
+ese_vovnet19b_slim_dw,3629.92,140.575,512,224,1.9
+lcnet_150,3576.28,142.665,512,224,4.5
+gluon_resnet18_v1b,3482.17,146.691,512,224,11.69
+resnet18,3481.78,146.713,512,224,11.69
+swsl_resnet18,3480.5,146.765,512,224,11.69
+ssl_resnet18,3477.04,146.904,512,224,11.69
+resnet14t,3472.37,147.102,512,176,10.08
+tf_efficientnetv2_b0,3428.08,148.143,512,192,7.14
+tf_mobilenetv3_large_minimal_100,3366.45,151.356,512,224,3.92
+mnasnet_075,3238.88,157.273,512,224,3.17
+tf_mobilenetv3_large_075,3189.08,159.67,512,224,3.99
+seresnet18,3138.91,162.608,512,224,11.78
+mobilenetv3_large_075,3095.0,164.56,512,224,3.99
+legacy_seresnet18,3076.04,165.928,512,224,11.78
+hardcorenas_a,2971.63,171.576,512,224,5.26
+levit_256,2956.43,172.043,512,224,18.89
+mnasnet_b1,2930.02,173.933,512,224,4.38
+mnasnet_100,2929.31,173.976,512,224,4.38
+tf_mobilenetv3_large_100,2907.93,175.204,512,224,5.48
+resnet18d,2875.3,177.69,512,224,11.71
+tinynet_b,2851.82,178.435,512,188,3.73
+hardcorenas_b,2772.42,183.73,512,224,5.18
+hardcorenas_c,2763.94,184.272,512,224,5.52
+mobilenetv3_rw,2754.46,184.981,512,224,5.48
+nf_regnet_b0,2740.89,185.595,512,192,8.76
+mobilenetv3_large_100_miil,2733.62,186.4,512,224,5.48
+mobilenetv3_large_100,2732.43,186.472,512,224,5.48
+ese_vovnet19b_slim,2684.58,190.344,512,224,3.17
+spnasnet_100,2610.47,195.171,512,224,4.42
+mobilenetv2_075,2609.91,195.379,512,224,2.64
+semnasnet_075,2603.1,195.762,512,224,2.91
+hardcorenas_d,2566.48,198.271,512,224,7.5
+tf_efficientnetv2_b1,2548.95,199.349,512,192,8.14
+levit_256d,2522.09,201.424,512,224,26.21
+fbnetc_100,2397.58,212.548,512,224,5.57
+tinynet_a,2334.41,218.035,512,192,6.19
+mobilenetv2_100,2313.1,220.563,512,224,3.5
+vit_tiny_patch16_224,2299.56,221.804,512,224,5.72
+mnasnet_a1,2291.94,222.453,512,224,3.89
+deit_tiny_patch16_224,2290.33,222.697,512,224,5.72
+semnasnet_100,2279.15,223.737,512,224,3.89
+edgenext_xx_small,2271.04,224.572,512,256,1.33
+dla46_c,2266.89,225.115,512,224,1.3
+hardcorenas_f,2252.64,226.141,512,224,8.2
+deit_tiny_distilled_patch16_224,2248.67,226.799,512,224,5.91
+hardcorenas_e,2245.94,226.861,512,224,8.07
+xcit_nano_12_p16_224_dist,2177.52,233.052,512,224,3.05
+xcit_nano_12_p16_224,2170.17,234.054,512,224,3.05
+tf_efficientnet_lite0,2134.89,239.057,512,224,4.65
+ghostnet_100,2129.82,239.0,512,224,5.18
+hrnet_w18_small,2121.96,239.906,512,224,13.19
+regnety_004,2085.76,244.311,512,224,4.34
+efficientnet_lite0,2079.28,245.485,512,224,4.65
+cs3darknet_focus_m,2062.98,247.547,512,256,9.3
+pit_ti_distilled_224,2061.94,247.414,512,224,5.1
+mnasnet_140,2060.59,247.645,512,224,7.12
+pit_ti_224,2057.02,247.989,512,224,4.85
+gluon_resnet34_v1b,2039.68,250.446,512,224,21.8
+tv_resnet34,2038.39,250.573,512,224,21.8
+resnet34,2036.51,250.813,512,224,21.8
+ese_vovnet19b_dw,1999.58,255.562,512,224,6.54
+resnet26,1962.0,260.488,512,224,16.0
+tf_efficientnetv2_b2,1951.52,260.748,512,208,10.1
+skresnet18,1943.81,262.753,512,224,11.96
+cs3darknet_m,1940.79,263.122,512,256,9.31
+regnetz_005,1916.17,265.765,512,224,7.12
+resnetblur18,1897.99,269.406,512,224,11.69
+rexnetr_100,1893.12,201.724,384,224,4.88
+nf_resnet26,1869.64,273.344,512,224,16.0
+mobilenetv2_110d,1868.27,204.505,384,224,4.52
+visformer_tiny,1861.63,274.356,512,224,10.32
+mixer_b32_224,1856.75,274.965,512,224,60.29
+seresnet34,1837.21,277.783,512,224,21.96
+fbnetv3_b,1825.5,278.744,512,224,8.6
+mobilevitv2_050,1824.87,279.552,512,256,1.37
+gernet_m,1822.12,280.293,512,224,21.14
+resnet34d,1813.16,281.758,512,224,21.82
+levit_384,1801.0,283.153,512,224,39.13
+legacy_seresnet34,1781.32,286.529,512,224,21.96
+regnetx_004,1780.61,286.47,512,224,5.16
+tf_efficientnet_b0_ns,1779.24,214.77,384,224,5.29
+tf_efficientnet_b0,1779.02,214.765,384,224,5.29
+tf_efficientnet_b0_ap,1777.73,214.898,384,224,5.29
+efficientnet_b0,1751.72,291.183,512,224,5.29
+selecsls42,1718.76,297.231,512,224,30.35
+selecsls42b,1710.18,298.726,512,224,32.46
+vit_base_patch32_224,1708.63,298.818,512,224,88.22
+vit_base_patch32_224_sam,1707.5,298.997,512,224,88.22
+efficientnet_es_pruned,1687.32,302.688,512,224,5.44
+resnetrs50,1686.45,302.42,512,160,35.69
+efficientnet_es,1686.11,302.906,512,224,5.44
+mixer_s16_224,1660.76,307.737,512,224,18.53
+darknet17,1654.01,309.253,512,256,14.3
+mobilenetv2_140,1637.57,233.691,384,224,6.11
+fbnetv3_d,1634.54,233.136,384,224,10.31
+tf_efficientnet_es,1623.9,314.542,512,224,5.44
+resnet26d,1623.31,314.899,512,224,16.01
+mobilevit_xxs,1602.81,238.427,384,256,1.27
+resmlp_12_distilled_224,1577.54,323.769,512,224,15.35
+resmlp_12_224,1577.31,323.803,512,224,15.35
+pit_xs_224,1555.66,328.198,512,224,10.62
+pit_xs_distilled_224,1555.48,328.255,512,224,11.0
+semnasnet_140,1546.19,330.184,512,224,6.11
+ghostnet_130,1542.47,330.535,512,224,7.36
+repvgg_b0,1538.07,331.828,512,224,15.82
+efficientnet_lite1,1530.99,166.26,256,240,5.42
+dla34,1524.02,335.337,512,224,15.74
+edgenext_x_small,1512.48,337.399,512,256,2.34
+darknet21,1486.14,344.159,512,256,20.86
+selecsls60,1482.76,344.397,512,224,30.67
+selecsls60b,1478.62,345.378,512,224,32.77
+nf_seresnet26,1473.71,346.754,512,224,17.4
+vit_small_patch32_384,1455.89,350.818,512,384,22.92
+gmixer_12_224,1448.32,352.721,512,224,12.7
+efficientnet_b1_pruned,1446.82,352.35,512,240,6.33
+tf_efficientnet_lite1,1443.47,176.394,256,240,5.42
+nf_ecaresnet26,1440.41,354.896,512,224,16.0
+xcit_tiny_12_p16_224_dist,1426.36,357.157,512,224,6.72
+xcit_tiny_12_p16_224,1426.18,357.168,512,224,6.72
+sedarknet21,1401.98,364.696,512,256,20.95
+rexnetr_130,1388.84,183.199,256,224,7.61
+dla46x_c,1388.59,367.953,512,224,1.07
+gmlp_ti16_224,1381.11,276.449,384,224,5.87
+mixnet_s,1365.54,373.667,512,224,4.13
+rexnet_100,1364.31,280.319,384,224,4.8
+regnety_006,1361.43,374.963,512,224,6.06
+mobilenetv2_120d,1352.9,188.013,256,224,5.83
+legacy_seresnext26_32x4d,1349.26,378.798,512,224,16.79
+crossvit_tiny_240,1348.01,378.219,512,240,7.01
+vit_tiny_r_s16_p8_384,1345.31,284.562,384,384,6.36
+poolformer_s12,1342.54,380.659,512,224,11.92
+dla60x_c,1341.77,380.621,512,224,1.32
+efficientnet_b1,1325.85,191.544,256,224,7.79
+resnetv2_50,1288.61,396.553,512,224,25.55
+regnetx_006,1286.44,397.176,512,224,6.2
+crossvit_9_240,1258.73,303.637,384,240,8.55
+convnext_nano_ols,1252.33,408.151,512,224,15.6
+convnext_nano_hnf,1249.05,409.138,512,224,15.59
+resnet26t,1237.34,413.275,512,256,16.01
+tf_mixnet_s,1236.15,412.905,512,224,4.13
+nf_regnet_b2,1229.56,414.759,512,240,14.31
+rexnetr_150,1224.57,207.878,256,224,9.78
+gluon_resnet50_v1b,1219.23,419.12,512,224,25.56
+tv_resnet50,1218.99,419.17,512,224,25.56
+crossvit_9_dagger_240,1218.38,313.701,384,240,8.78
+resnet50,1218.01,419.528,512,224,25.56
+swsl_resnet50,1217.39,419.737,512,224,25.56
+ssl_resnet50,1217.38,419.757,512,224,25.56
+cs3darknet_focus_l,1216.61,314.788,384,256,21.15
+repvgg_a2,1214.87,420.579,512,224,28.21
+cs3darknet_l,1203.14,318.267,384,256,21.16
+gernet_l,1201.09,425.379,512,256,31.08
+efficientnet_lite2,1191.67,213.855,256,260,6.09
+nf_regnet_b1,1181.15,431.966,512,256,10.22
+seresnext26d_32x4d,1178.86,325.051,384,224,16.81
+botnet26t_256,1178.34,325.281,384,256,12.49
+seresnext26tn_32x4d,1177.85,325.355,384,224,16.81
+seresnext26t_32x4d,1176.65,325.669,384,224,16.81
+mobilevitv2_075,1174.29,217.001,256,256,2.87
+ecaresnext50t_32x4d,1159.52,330.605,384,224,15.41
+ecaresnext26t_32x4d,1158.26,330.961,384,224,15.41
+gluon_resnet50_v1c,1147.86,333.697,384,224,25.58
+halonet26t,1136.15,337.402,384,256,12.48
+resnetv2_50d,1134.86,450.316,512,224,25.57
+resnetv2_50t,1132.89,451.133,512,224,25.57
+edgenext_small,1127.71,452.849,512,256,5.59
+tf_efficientnet_lite2,1121.02,227.403,256,260,6.09
+convit_tiny,1118.98,456.53,512,224,5.71
+skresnet34,1113.08,458.799,512,224,22.28
+tf_efficientnet_b1,1099.77,231.299,256,240,7.79
+tf_efficientnet_b1_ap,1099.37,231.402,256,240,7.79
+efficientnetv2_rw_t,1098.86,230.78,256,224,13.65
+tf_efficientnet_b1_ns,1098.29,231.567,256,240,7.79
+ecaresnetlight,1091.16,468.275,512,224,30.16
+gluon_resnet50_v1d,1084.38,353.226,384,224,25.58
+dpn68b,1083.77,353.123,384,224,12.61
+cs3sedarknet_l,1083.42,353.12,384,256,21.91
+resnet50d,1078.0,355.348,384,224,25.58
+resnet50t,1076.81,355.721,384,224,25.57
+resnet32ts,1075.86,237.337,256,256,17.96
+resnet33ts,1061.36,240.599,256,256,19.68
+vit_small_patch16_224,1057.92,362.157,384,224,22.05
+resnetaa50,1057.73,362.204,384,224,25.56
+vit_small_resnet26d_224,1057.57,362.04,384,224,63.61
+deit_small_patch16_224,1050.7,364.638,384,224,22.05
+cspresnet50,1042.19,367.617,384,256,21.62
+tf_efficientnetv2_b3,1041.71,243.94,256,240,14.36
+regnetx_008,1034.73,493.971,512,224,7.26
+ecaresnet26t,1033.34,371.048,384,256,16.01
+deit_small_distilled_patch16_224,1028.8,372.398,384,224,22.44
+vit_relpos_base_patch32_plus_rpn_256,1021.86,499.989,512,256,119.42
+dla60,1020.05,375.488,384,224,22.04
+res2net50_48w_2s,1018.83,376.079,384,224,25.29
+gc_efficientnetv2_rw_t,1014.65,249.524,256,224,13.68
+vit_relpos_small_patch16_rpn_224,1013.69,377.786,384,224,21.97
+edgenext_small_rw,1011.18,505.339,512,256,7.83
+pit_s_224,1010.83,378.943,384,224,23.46
+seresnet33ts,1007.26,253.362,256,256,19.78
+efficientnet_em,1007.19,253.179,256,240,6.9
+vovnet39a,1006.62,507.995,512,224,22.6
+legacy_seresnet50,1003.5,381.52,384,224,28.09
+gluon_resnext50_32x4d,1001.3,382.689,384,224,25.03
+tv_resnext50_32x4d,1001.18,382.711,384,224,25.03
+resnext50_32x4d,1001.03,382.776,384,224,25.03
+ssl_resnext50_32x4d,1000.68,382.908,384,224,25.03
+eca_resnet33ts,999.77,255.368,256,256,19.68
+swsl_resnext50_32x4d,997.37,384.186,384,224,25.03
+regnety_008,993.3,514.408,512,224,6.26
+dpn68,992.27,385.859,384,224,12.61
+deit3_small_patch16_224,987.86,387.777,384,224,22.06
+deit3_small_patch16_224_in21ft1k,987.15,388.058,384,224,22.06
+gcresnet33ts,985.12,258.855,256,256,19.88
+efficientnet_b2a,980.29,259.63,256,256,9.11
+tf_efficientnet_em,980.0,260.253,256,240,6.9
+efficientnet_b2,978.68,260.092,256,256,9.11
+seresnet50,971.79,394.011,384,224,28.09
+gluon_resnet50_v1s,970.71,394.714,384,224,25.68
+vit_srelpos_small_patch16_224,969.18,395.281,384,224,21.97
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