diff --git a/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
index 2da5d142..479e68d8 100644
--- a/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv
@@ -300,6 +300,7 @@ seresnet50t,2333.68,438.78,1024,224,4.32,11.83,28.1
 ecaresnet50d,2316.33,442.066,1024,224,4.35,11.93,25.58
 resnetblur50,2298.66,445.465,1024,224,5.16,12.02,25.56
 mobilevit_s,2279.76,336.866,768,256,2.03,19.94,5.58
+convnext_nano,2276.19,449.862,1024,288,4.06,13.84,15.59
 resnetrs50,2276.18,449.864,1024,224,4.48,12.14,35.69
 vit_base_resnet26d_224,2262.15,452.654,1024,224,6.97,13.16,101.4
 gluon_resnet50_v1s,2257.16,453.655,1024,224,5.47,13.52,25.68
@@ -461,6 +462,7 @@ resnetv2_50d_evob,1383.3,740.244,1024,224,4.33,11.92,25.59
 res2net50_26w_8s,1373.33,745.622,1024,224,8.37,17.95,48.4
 halo2botnet50ts_256,1372.33,559.619,768,256,5.02,21.78,22.64
 regnetx_080,1370.56,747.125,1024,224,8.02,14.06,39.57
+cs3sedarknet_x,1368.84,748.067,1024,288,10.6,14.37,35.4
 jx_nest_tiny,1362.62,563.605,768,224,5.83,25.48,17.06
 convit_small,1355.18,755.603,1024,224,5.76,17.87,27.78
 res2net101_26w_4s,1353.43,756.586,1024,224,8.1,18.45,45.21
@@ -471,6 +473,7 @@ vgg16_bn,1335.02,383.503,512,224,15.5,13.56,138.37
 mixer_b16_224,1328.05,771.041,1024,224,12.62,14.53,59.88
 twins_svt_base,1307.2,783.34,1024,224,8.59,26.33,56.07
 dpn92,1299.67,787.878,1024,224,6.54,18.21,37.67
+cs3edgenet_x,1289.05,794.37,1024,288,14.59,16.36,47.82
 ese_vovnet99b_iabn,1282.63,798.345,1024,224,16.49,11.27,63.2
 crossvit_18_240,1272.74,804.553,1024,240,9.05,26.26,43.27
 regnety_040s_gn,1271.39,805.405,1024,224,4.03,12.29,20.65
@@ -556,6 +559,7 @@ pit_b_distilled_224,985.16,519.696,512,224,12.5,33.07,74.79
 tresnet_xl,983.38,1041.292,1024,224,15.17,15.34,78.44
 efficientnetv2_s,976.0,1049.166,1024,384,8.44,35.77,21.46
 dla102x2,973.1,526.138,512,224,9.34,29.91,41.28
+cs3se_edgenet_x,972.26,1053.196,1024,320,18.01,20.21,50.72
 vit_small_patch16_36x1_224,972.14,1053.329,1024,224,13.71,35.69,64.67
 swinv2_cr_small_224,966.28,1059.712,1024,224,9.07,50.27,49.7
 swinv2_cr_small_ns_224,955.69,1071.465,1024,224,9.08,50.27,49.7
diff --git a/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
index d795b95e..fbf7e583 100644
--- a/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv
@@ -339,6 +339,7 @@ convnext_tiny_in22ft1k,2380.94,430.068,1024,224,4.47,13.44,28.59
 convnext_tiny,2379.5,430.329,1024,224,4.47,13.44,28.59
 regnetz_b16,2348.93,435.929,1024,288,2.39,16.43,9.72
 resnetv2_101,2321.74,441.036,1024,224,7.83,16.23,44.54
+convnext_nano,2304.31,444.37,1024,288,4.06,13.84,15.59
 tf_efficientnet_cc_b0_4e,2293.39,446.488,1024,224,0.41,9.42,13.31
 semobilevit_s,2279.96,336.836,768,256,2.03,19.95,5.74
 gluon_resnet101_v1b,2249.95,455.108,1024,224,7.83,16.23,44.55
@@ -456,6 +457,7 @@ mobilevitv2_175,1554.07,329.447,512,256,5.54,28.13,14.25
 swinv2_cr_tiny_ns_224,1551.84,659.847,1024,224,4.66,28.45,28.33
 mobilevitv2_175_in22ft1k,1551.58,329.973,512,256,5.54,28.13,14.25
 vit_base_patch32_384,1550.87,660.263,1024,384,13.06,16.5,88.3
+cs3sedarknet_x,1549.02,661.048,1024,288,10.6,14.37,35.4
 resnetv2_152d,1545.41,662.596,1024,224,11.8,23.36,60.2
 nf_ecaresnet101,1540.66,664.639,1024,224,8.01,16.27,44.55
 nf_seresnet101,1538.7,665.483,1024,224,8.02,16.27,49.33
@@ -466,6 +468,7 @@ gluon_resnet152_v1d,1508.62,678.753,1024,224,11.8,23.36,60.21
 vgg16_bn,1504.44,340.315,512,224,15.5,13.56,138.37
 twins_pcpvt_base,1494.56,685.139,1024,224,6.68,25.25,43.83
 tf_efficientnet_el,1481.51,345.582,512,300,8.0,30.7,10.59
+cs3edgenet_x,1479.52,692.101,1024,288,14.59,16.36,47.82
 vit_base_r26_s32_224,1479.31,692.202,1024,224,6.81,12.36,101.38
 skresnext50_32x4d,1465.64,698.657,1024,224,4.5,17.18,27.48
 convnext_small,1452.43,705.012,1024,224,8.71,21.56,50.22
@@ -537,6 +540,7 @@ dla60_res2next,1127.83,907.922,1024,224,3.49,13.17,17.03
 eca_nfnet_l0,1126.64,908.88,1024,288,7.12,17.29,24.14
 resnetrs101,1123.2,911.667,1024,288,13.56,28.53,63.62
 nfnet_l0,1123.1,911.747,1024,288,7.13,17.29,35.07
+cs3se_edgenet_x,1120.46,913.898,1024,320,18.01,20.21,50.72
 deit_base_distilled_patch16_224,1119.36,914.798,1024,224,17.68,24.05,87.34
 vit_base_patch16_rpn_224,1111.53,921.235,1024,224,17.49,23.75,86.54
 inception_resnet_v2,1108.79,923.511,1024,299,13.18,25.06,55.84
diff --git a/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv b/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv
index 7347388e..de3025b1 100644
--- a/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv
@@ -1,835 +1,839 @@
-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
-seresnet18,2562.51,199.293,512,224,11.78
-nf_regnet_b0,2561.76,198.646,512,192,8.76
-legacy_seresnet18,2500.8,204.207,512,224,11.78
-tf_efficientnetv2_b0,2483.22,204.949,512,192,7.14
-levit_256,2482.39,205.091,512,224,18.89
-mobilenetv3_large_075,2392.41,213.119,512,224,3.99
-resnet14t,2385.69,214.281,512,176,10.08
-tf_mobilenetv3_large_minimal_100,2347.68,217.368,512,224,3.92
-vit_tiny_patch16_224,2293.54,222.408,512,224,5.72
-regnetx_006,2293.09,222.433,512,224,6.2
-deit_tiny_patch16_224,2290.53,222.68,512,224,5.72
-tf_mobilenetv3_large_075,2259.6,225.688,512,224,3.99
-deit_tiny_distilled_patch16_224,2253.36,226.358,512,224,5.91
-edgenext_xx_small,2231.33,228.598,512,256,1.33
-ghostnet_050,2189.91,232.414,512,224,2.59
-mobilenetv3_rw,2184.31,233.512,512,224,5.48
-mnasnet_075,2176.02,234.492,512,224,3.17
-mobilenetv3_large_100,2167.29,235.344,512,224,5.48
-mobilenetv3_large_100_miil,2165.63,235.504,512,224,5.48
-levit_256d,2159.5,235.516,512,224,26.21
-resnet18d,2129.12,240.084,512,224,11.71
-hardcorenas_a,2118.32,240.968,512,224,5.26
-regnety_004,2100.99,242.536,512,224,4.34
-pit_ti_distilled_224,2086.5,244.504,512,224,5.1
-pit_ti_224,2079.54,245.311,512,224,4.85
-ese_vovnet19b_slim,2066.1,247.446,512,224,3.17
-mnasnet_100,2053.84,248.477,512,224,4.38
-tf_mobilenetv3_large_100,2053.63,248.437,512,224,5.48
-mnasnet_b1,2053.54,248.485,512,224,4.38
-semnasnet_075,2008.51,253.986,512,224,2.91
-hardcorenas_b,2008.46,253.96,512,224,5.18
-mobilenetv2_075,1983.69,257.32,512,224,2.64
-hardcorenas_c,1977.37,257.94,512,224,5.52
-xcit_nano_12_p16_224_dist,1970.62,258.036,512,224,3.05
-xcit_nano_12_p16_224,1969.78,258.084,512,224,3.05
-tinynet_b,1965.95,259.368,512,188,3.73
-hardcorenas_d,1880.3,271.085,512,224,7.5
-tf_efficientnetv2_b1,1876.23,271.395,512,192,8.14
-resnetblur18,1872.21,273.11,512,224,11.69
-spnasnet_100,1862.13,273.955,512,224,4.42
-mnasnet_a1,1859.21,274.476,512,224,3.89
-semnasnet_100,1857.75,274.693,512,224,3.89
-mobilenetv2_100,1832.14,278.633,512,224,3.5
-regnety_006,1809.24,281.912,512,224,6.06
-visformer_tiny,1802.41,283.384,512,224,10.32
-mixer_b32_224,1784.58,286.101,512,224,60.29
-skresnet18,1730.13,295.275,512,224,11.96
-tinynet_a,1710.13,298.117,512,192,6.19
-vit_base_patch32_224_sam,1703.64,299.668,512,224,88.22
-vit_base_patch32_224,1703.57,299.695,512,224,88.22
-efficientnet_lite0,1674.68,304.971,512,224,4.65
-cs3darknet_focus_m,1668.48,306.209,512,256,9.3
-hardcorenas_e,1650.74,309.021,512,224,8.07
-hardcorenas_f,1646.88,309.777,512,224,8.2
-gluon_resnet34_v1b,1634.03,312.731,512,224,21.8
-regnetx_008,1632.2,312.851,512,224,7.26
-tv_resnet34,1630.02,313.513,512,224,21.8
-resnet34,1622.41,314.992,512,224,21.8
-ghostnet_100,1601.5,318.319,512,224,5.18
-tf_efficientnet_lite0,1591.79,320.884,512,224,4.65
-fbnetc_100,1567.77,325.605,512,224,5.57
-pit_xs_distilled_224,1551.83,329.02,512,224,11.0
-pit_xs_224,1549.02,329.642,512,224,10.62
-mixer_s16_224,1543.23,331.197,512,224,18.53
-dla46_c,1532.94,333.18,512,224,1.3
-mnasnet_140,1525.17,334.879,512,224,7.12
-seresnet34,1505.77,339.147,512,224,21.96
-cs3darknet_m,1499.82,340.716,512,256,9.31
-regnety_008,1498.63,340.596,512,224,6.26
-levit_384,1491.26,342.207,512,224,39.13
-edgenext_x_small,1481.71,344.446,512,256,2.34
-ese_vovnet19b_dw,1466.46,348.623,512,224,6.54
-legacy_seresnet34,1465.81,348.38,512,224,21.96
-efficientnet_b0,1459.11,262.1,384,224,5.29
-gernet_m,1456.76,350.74,512,224,21.14
-vit_small_patch32_384,1448.56,352.604,512,384,22.92
-regnetz_005,1448.06,352.165,512,224,7.12
-rexnet_100,1447.81,264.049,384,224,4.8
-rexnetr_100,1441.71,265.216,384,224,4.88
-nf_resnet26,1422.76,359.346,512,224,16.0
-hrnet_w18_small,1410.43,361.614,512,224,13.19
-selecsls42,1405.04,363.736,512,224,30.35
-selecsls42b,1401.22,364.735,512,224,32.46
-mobilenetv2_110d,1400.15,273.199,384,224,4.52
-tf_efficientnet_b0_ap,1398.67,273.43,384,224,5.29
-mobilevitv2_050,1396.45,365.664,512,256,1.37
-tf_efficientnet_b0_ns,1395.54,274.064,384,224,5.29
-tf_efficientnet_b0,1395.32,274.114,384,224,5.29
-tf_efficientnetv2_b2,1392.9,365.948,512,208,10.1
-vit_tiny_r_s16_p8_384,1392.75,274.873,384,384,6.36
-resnet34d,1379.64,370.514,512,224,21.82
-ghostnet_130,1364.55,373.824,512,224,7.36
-gmixer_12_224,1352.72,377.701,512,224,12.7
-crossvit_tiny_240,1349.19,377.902,512,240,7.01
-gmlp_ti16_224,1340.6,284.894,384,224,5.87
-semnasnet_140,1340.57,380.992,512,224,6.11
-dla46x_c,1338.33,381.81,512,224,1.07
-xcit_tiny_12_p16_224,1323.84,384.926,512,224,6.72
-xcit_tiny_12_p16_224_dist,1317.19,386.895,512,224,6.72
-resnetrs50,1317.01,387.565,512,160,35.69
-mobilevit_xxs,1316.84,290.489,384,256,1.27
-resnet26,1312.7,389.566,512,224,16.0
-efficientnet_b1_pruned,1301.95,391.798,512,240,6.33
-mobilenetv2_140,1267.4,302.189,384,224,6.11
-dla60x_c,1262.98,404.404,512,224,1.32
-crossvit_9_240,1260.08,303.33,384,240,8.55
-convnext_nano_hnf,1235.34,413.703,512,224,15.59
-convnext_nano_ols,1234.94,413.902,512,224,15.6
-poolformer_s12,1234.11,414.201,512,224,11.92
-resmlp_12_distilled_224,1232.37,414.645,512,224,15.35
-resmlp_12_224,1232.04,414.762,512,224,15.35
-fbnetv3_b,1226.89,415.617,512,224,8.6
-nf_regnet_b2,1219.45,418.235,512,240,14.31
-repvgg_b0,1217.24,419.512,512,224,15.82
-selecsls60b,1214.07,420.825,512,224,32.77
-selecsls60,1211.7,421.663,512,224,30.67
-nf_regnet_b1,1209.03,421.975,512,256,10.22
-crossvit_9_dagger_240,1206.16,316.906,384,240,8.78
-nf_seresnet26,1198.39,426.558,512,224,17.4
-mixnet_s,1181.75,431.958,512,224,4.13
-nf_ecaresnet26,1174.85,435.233,512,224,16.0
-efficientnet_lite1,1171.46,217.556,256,240,5.42
-darknet17,1164.06,439.537,512,256,14.3
-efficientnet_es_pruned,1160.76,440.317,512,224,5.44
-efficientnet_es,1160.37,440.47,512,224,5.44
-regnetx_016,1139.3,448.473,512,224,9.19
-fbnetv3_d,1138.14,335.598,384,224,10.31
-tf_efficientnet_es,1136.29,449.83,512,224,5.44
-rexnetr_130,1133.04,224.76,256,224,7.61
-dla34,1132.96,451.315,512,224,15.74
-resnet26d,1119.56,456.822,512,224,16.01
-tf_mixnet_s,1118.11,456.605,512,224,4.13
-tf_efficientnet_lite1,1110.94,229.444,256,240,5.42
-edgenext_small,1109.37,460.388,512,256,5.59
-convit_tiny,1095.04,466.531,512,224,5.71
-rexnet_130,1094.78,232.699,256,224,7.56
-mobilenetv2_120d,1078.49,236.158,256,224,5.83
-darknet21,1073.87,476.43,512,256,20.86
-ecaresnet50d_pruned,1067.01,478.899,512,224,19.94
-deit_small_patch16_224,1053.64,363.563,384,224,22.05
-vit_small_patch16_224,1052.92,363.872,384,224,22.05
-deit_small_distilled_patch16_224,1032.61,370.971,384,224,22.44
-sedarknet21,1031.46,495.893,512,256,20.95
-gernet_l,1030.31,496.058,512,256,31.08
-efficientnet_b1,1030.3,246.963,256,224,7.79
-rexnetr_150,1022.06,249.288,256,224,9.78
-repvgg_a2,1010.18,506.008,512,224,28.21
-edgenext_small_rw,1009.52,506.183,512,256,7.83
-skresnet34,1008.96,506.323,512,224,22.28
-resnest14d,979.06,522.497,512,224,10.61
-cs3darknet_focus_l,977.57,391.957,384,256,21.15
-deit3_small_patch16_224,977.26,391.961,384,224,22.06
-deit3_small_patch16_224_in21ft1k,976.5,392.276,384,224,22.06
-rexnet_150,965.2,264.04,256,224,9.73
-regnety_016,954.26,534.657,512,224,11.2
-vit_base_patch32_plus_256,951.64,537.091,512,256,119.48
-mobilevitv2_075,947.54,269.157,256,256,2.87
-legacy_seresnext26_32x4d,946.21,405.17,384,224,16.79
-pit_s_224,942.8,270.615,256,224,23.46
-pit_s_distilled_224,939.97,271.455,256,224,24.04
-vit_srelpos_small_patch16_224,922.29,415.451,384,224,21.97
-vit_relpos_small_patch16_224,921.7,415.439,384,224,21.98
-efficientnet_b0_g16_evos,909.42,421.149,384,224,8.11
-resnext26ts,905.09,423.733,384,256,10.3
-cs3darknet_l,902.18,282.891,256,256,21.16
-coat_lite_tiny,893.97,428.624,384,224,5.72
-resnet26t,890.89,574.188,512,256,16.01
-efficientnet_b0_gn,881.54,289.263,256,224,5.29
-resnetv2_50,880.1,580.976,512,224,25.55
-efficientnet_b2_pruned,874.13,291.317,256,260,8.31
-seresnext26ts,867.62,294.407,256,256,10.39
-eca_resnext26ts,867.54,294.527,256,256,10.3
-tf_efficientnet_b1,863.78,294.816,256,240,7.79
-tf_efficientnet_b1_ap,863.54,294.906,256,240,7.79
-tf_efficientnet_b1_ns,863.39,294.941,256,240,7.79
-cs3sedarknet_l,861.38,444.523,384,256,21.91
-tf_efficientnetv2_b3,855.0,297.539,256,240,14.36
-efficientnet_lite2,852.1,299.402,256,260,6.09
-twins_svt_small,851.73,449.18,384,224,24.06
-gcresnext26ts,850.58,300.113,256,256,10.48
-efficientnetv2_rw_t,850.16,298.981,256,224,13.65
-botnet26t_256,849.43,451.465,384,256,12.49
-ecaresnetlight,846.78,603.683,512,224,30.16
-seresnext26t_32x4d,845.6,453.458,384,224,16.81
-seresnext26tn_32x4d,845.31,453.612,384,224,16.81
-seresnext26d_32x4d,844.96,453.775,384,224,16.81
-coat_lite_mini,842.06,455.115,384,224,11.01
-tf_efficientnet_cc_b0_8e,837.03,457.594,384,224,24.01
-ecaresnet101d_pruned,837.02,609.921,512,224,24.88
-ecaresnext26t_32x4d,835.25,459.196,384,224,15.41
-ecaresnext50t_32x4d,834.39,459.653,384,224,15.41
-cspresnet50,830.57,461.498,384,256,21.62
-swsl_resnet50,829.79,616.192,512,224,25.56
-ssl_resnet50,829.64,616.294,512,224,25.56
-gluon_resnet50_v1b,829.63,616.32,512,224,25.56
-visformer_small,828.8,462.625,384,224,40.22
-tv_resnet50,826.55,618.618,512,224,25.56
-resnet50,826.06,618.983,512,224,25.56
-vgg11,825.98,619.706,512,224,132.86
-halonet26t,824.96,464.902,384,256,12.48
-vovnet39a,817.65,625.544,512,224,22.6
-tf_efficientnet_lite2,816.76,312.458,256,260,6.09
-convnext_tiny_hnf,815.48,312.97,256,224,28.59
-convnext_tiny_hnfd,815.19,313.078,256,224,28.59
-vit_small_resnet26d_224,813.66,470.891,384,224,63.61
-convnext_tiny,813.16,313.859,256,224,28.59
-efficientnet_cc_b0_8e,812.96,471.165,384,224,24.01
-vit_relpos_base_patch32_plus_rpn_256,811.26,630.0,512,256,119.42
-mixnet_m,810.2,630.361,512,224,5.01
-efficientnet_cc_b0_4e,808.8,473.577,384,224,13.31
-convnext_tiny_in22ft1k,808.5,315.666,256,224,28.59
-efficientnet_b2a,800.27,318.401,256,256,9.11
-efficientnet_b2,799.96,318.544,256,256,9.11
-regnetz_b16,796.72,319.811,256,224,9.72
-tresnet_m,792.8,643.233,512,224,31.39
-mobilevit_xs,792.23,321.979,256,256,2.32
-ecaresnet26t,791.55,484.557,384,256,16.01
-gc_efficientnetv2_rw_t,791.43,320.691,256,224,13.68
-resnetv2_50t,790.83,646.602,512,224,25.57
-resnetv2_50d,790.11,647.216,512,224,25.57
-regnetx_032,787.5,486.368,384,224,15.3
-ese_vovnet39b,786.37,650.429,512,224,24.57
-tf_efficientnet_cc_b0_4e,784.54,488.254,384,224,13.31
-eca_botnext26ts_256,781.43,326.976,256,256,10.59
-resnet32ts,781.02,327.191,256,256,17.96
-tf_mixnet_m,777.93,492.059,384,224,5.01
-resnet33ts,767.78,332.812,256,256,19.68
-gluon_resnet50_v1c,763.32,502.196,384,224,25.58
-eca_halonext26ts,763.09,334.836,256,256,10.76
-rexnetr_200,762.4,250.686,192,224,16.52
-dpn68b,756.57,506.252,384,224,12.61
-lambda_resnet26t,751.39,510.429,384,256,10.96
-vit_relpos_small_patch16_rpn_224,751.37,510.029,384,224,21.97
-resnet50t,748.03,512.487,384,224,25.57
-cspresnet50d,746.91,341.842,256,256,21.64
-gluon_resnet50_v1d,746.5,513.543,384,224,25.58
-resnet50d,744.99,514.575,384,224,25.58
-legacy_seresnet50,744.88,514.356,384,224,28.09
-cspresnet50w,744.04,343.166,256,256,28.12
-eca_resnet33ts,743.27,343.735,256,256,19.68
-efficientnet_b0_g8_gn,743.27,343.315,256,224,6.56
-seresnet33ts,742.4,344.003,256,256,19.78
-resnetaa50,741.95,516.711,384,224,25.56
-selecsls84,740.99,689.736,512,224,50.95
-dpn68,739.97,517.747,384,224,12.61
-res2net50_48w_2s,738.06,519.427,384,224,25.29
-vit_small_r26_s32_224,737.22,345.982,256,224,36.43
-eca_vovnet39b,735.59,695.354,512,224,22.6
-lambda_resnet26rpt_256,735.09,260.579,192,256,10.99
-nf_regnet_b3,732.33,522.471,384,288,18.59
-rexnet_200,731.68,261.239,192,224,16.37
-densenet121,730.11,348.758,256,224,7.98
-resnest26d,728.94,526.039,384,224,17.07
-bat_resnext26ts,728.42,350.197,256,256,10.73
-mobilevitv2_100,727.72,262.852,192,256,4.9
-tv_densenet121,727.58,350.07,256,224,7.98
-nf_seresnet50,727.17,526.884,384,224,28.09
-gcresnet33ts,725.89,351.666,256,256,19.88
-eca_nfnet_l0,723.69,706.434,512,224,24.14
-nfnet_l0,719.96,532.162,384,224,35.07
-seresnet50,714.65,536.208,384,224,28.09
-twins_pcpvt_small,714.45,356.63,256,224,24.11
-nf_ecaresnet50,713.69,537.063,384,224,25.56
-dla60,709.61,540.13,384,224,22.04
-efficientnet_em,708.33,360.423,256,240,6.9
-hrnet_w18_small_v2,705.02,723.712,512,224,15.6
-resnetblur50d,704.94,362.275,256,224,25.58
-vgg11_bn,703.05,545.962,384,224,132.87
-resnetblur50,698.61,548.824,384,224,25.56
-regnety_032,696.58,549.77,384,224,19.44
-nf_resnet50,696.17,550.716,384,256,25.56
-efficientnet_b3_pruned,694.05,367.106,256,300,9.86
-tf_efficientnet_em,690.66,369.697,256,240,6.9
-skresnet50,685.67,371.92,256,224,25.8
-xcit_tiny_24_p16_224,683.44,371.201,256,224,12.12
-poolformer_s24,681.93,374.176,256,224,21.39
-xcit_tiny_24_p16_224_dist,681.85,371.937,256,224,12.12
-vit_base_resnet26d_224,680.96,562.594,384,224,101.4
-vovnet57a,678.75,564.837,384,224,36.64
-densenet121d,678.22,375.614,256,224,8.0
-resnetaa50d,673.73,569.117,384,224,25.58
-gluon_resnet50_v1s,669.16,573.001,384,224,25.68
-gmixer_24_224,666.22,382.715,256,224,24.72
-swsl_resnext50_32x4d,663.66,577.766,384,224,25.03
-resnext50_32x4d,663.39,577.966,384,224,25.03
-ssl_resnext50_32x4d,663.18,578.185,384,224,25.03
-tv_resnext50_32x4d,662.37,578.888,384,224,25.03
-gluon_resnext50_32x4d,662.06,579.185,384,224,25.03
-haloregnetz_b,660.09,386.296,256,224,11.68
-ese_vovnet57b,656.27,584.17,384,224,38.61
-cspresnext50,656.07,389.365,256,256,20.57
-seresnet50t,655.71,584.407,384,224,28.1
-vit_relpos_medium_patch16_cls_224,654.69,389.857,256,224,38.76
-seresnetaa50d,654.11,390.147,256,224,28.11
-densenetblur121d,649.47,392.249,256,224,8.0
-res2net50_26w_4s,648.76,590.62,384,224,25.7
-fbnetv3_g,647.3,294.603,192,240,16.62
-swin_tiny_patch4_window7_224,646.76,394.841,256,224,28.29
-ecaresnet50d,643.9,595.437,384,224,25.58
-regnety_040,640.15,598.298,384,224,20.65
-gmlp_s16_224,638.67,299.017,192,224,19.42
-crossvit_small_240,637.47,399.952,256,240,26.86
-resnext50d_32x4d,635.21,402.121,256,224,25.05
-nfnet_f0,634.03,806.334,512,192,71.49
-vit_srelpos_medium_patch16_224,629.85,405.54,256,224,38.74
-mobilevit_s,629.67,303.779,192,256,5.58
-skresnet50d,628.92,405.574,256,224,25.82
-vit_relpos_medium_patch16_224,628.2,406.369,256,224,38.75
-resnest50d_1s4x24d,628.12,406.263,256,224,25.68
-mixnet_l,627.47,406.445,256,224,7.33
-tf_efficientnet_b2_ns,627.11,304.591,192,260,9.11
-tf_efficientnet_b2_ap,626.79,304.757,192,260,9.11
-tf_efficientnet_b2,626.11,305.153,192,260,9.11
-regnetx_040,624.89,613.356,384,224,22.12
-regnetv_040,622.71,409.581,256,224,20.64
-darknetaa53,614.47,415.819,256,256,36.02
-seresnext50_32x4d,613.62,416.021,256,224,27.56
-gluon_seresnext50_32x4d,613.35,416.206,256,224,27.56
-sehalonet33ts,613.13,416.664,256,256,13.69
-legacy_seresnext50_32x4d,612.89,416.52,256,224,27.56
-dla60x,612.79,416.731,256,224,17.35
-gcresnet50t,611.79,626.12,384,256,25.9
-xcit_nano_12_p16_384_dist,611.55,416.81,256,384,3.05
-resmlp_24_224,609.69,418.351,256,224,30.02
-resmlp_24_distilled_224,609.51,418.474,256,224,30.02
-gcresnext50ts,606.82,314.923,192,256,15.67
-tf_inception_v3,603.29,635.057,384,299,23.83
-gluon_inception_v3,603.22,635.143,384,299,23.83
-adv_inception_v3,603.01,635.347,384,299,23.83
-inception_v3,602.27,636.205,384,299,23.83
-tf_mixnet_l,600.24,424.956,256,224,7.33
-dm_nfnet_f0,600.1,638.573,384,192,71.49
-xcit_small_12_p16_224,598.44,425.955,256,224,26.25
-xcit_small_12_p16_224_dist,598.22,426.013,256,224,26.25
-semobilevit_s,597.07,320.258,192,256,5.74
-densenet169,592.78,429.221,256,224,14.15
-res2next50,591.98,431.144,256,224,24.67
-resnetv2_101,590.74,431.806,256,224,44.54
-darknet53,590.64,432.606,256,256,41.61
-resnetv2_50x1_bit_distilled,587.0,326.262,192,224,25.55
-res2net50_14w_8s,586.94,433.992,256,224,25.06
-swin_s3_tiny_224,586.39,435.576,256,224,28.33
-repvgg_b1g4,584.26,875.234,512,224,39.97
-dla60_res2net,583.07,437.618,256,224,20.85
-crossvit_15_240,576.62,331.16,192,240,27.53
-cait_xxs24_224,576.52,441.46,256,224,11.96
-cs3darknet_focus_x,569.86,448.292,256,256,35.02
-resnet101,568.98,448.321,256,224,44.55
-gluon_resnet101_v1b,568.4,448.834,256,224,44.55
-tv_resnet101,566.24,450.547,256,224,44.55
-resnetrs101,564.72,451.1,256,192,63.62
-efficientnet_cc_b1_8e,564.18,452.061,256,240,39.72
-crossvit_15_dagger_240,558.23,342.033,192,240,28.21
-vit_base_resnet50d_224,557.61,457.501,256,224,110.97
-mobilevitv2_125,557.38,343.473,192,256,7.48
-xcit_nano_12_p8_224_dist,555.43,459.069,256,224,3.05
-xcit_nano_12_p8_224,555.18,459.311,256,224,3.05
-sebotnet33ts_256,554.49,230.012,128,256,13.7
-resnet51q,551.31,463.504,256,256,35.7
-resnetv2_101d,548.02,465.6,256,224,44.56
-tf_efficientnet_cc_b1_8e,547.16,466.173,256,240,39.72
-resnetv2_50d_gn,546.54,350.469,192,224,25.57
-nf_resnet101,543.9,704.337,384,224,44.55
-vit_base_patch32_384,542.76,470.804,256,384,88.3
-gluon_resnet101_v1c,537.15,475.0,256,224,44.57
-cspdarknet53,537.1,475.617,256,256,27.64
-cs3darknet_x,534.86,477.64,256,256,35.05
-vit_base_r26_s32_224,534.67,357.767,192,224,101.38
-resnest50d,534.66,477.434,256,224,27.48
-resnet50_gn,531.78,360.235,192,224,25.56
-regnetz_c16,530.35,360.552,192,256,13.46
-gluon_resnet101_v1d,528.59,482.76,256,224,44.57
-mixer_b16_224,528.02,484.004,256,224,59.88
-mixer_l32_224,527.33,362.504,192,224,206.94
-mixer_b16_224_miil,526.58,485.347,256,224,59.88
-vit_large_patch32_224,521.73,489.021,256,224,306.54
-dla60_res2next,520.31,490.572,256,224,17.03
-ecaresnet50t,516.29,494.896,256,256,25.57
-cs3sedarknet_xdw,516.24,246.008,128,256,21.6
-lambda_resnet50ts,515.16,371.658,192,256,21.54
-vit_tiny_patch16_384,512.2,249.072,128,384,5.79
-resnet61q,510.55,375.027,192,256,36.85
-swinv2_cr_tiny_224,505.83,504.823,256,224,28.33
-halonet50ts,503.76,380.122,192,256,22.73
-repvgg_b1,503.57,1015.623,512,224,57.42
-swinv2_cr_tiny_ns_224,502.5,508.144,256,224,28.33
-dla102,497.28,513.14,256,224,33.27
-wide_resnet50_2,495.68,773.85,384,224,68.88
-res2net50_26w_6s,493.57,516.914,256,224,37.05
-resnetaa101d,490.51,520.338,256,224,44.57
-convnext_small,489.81,390.224,192,224,50.22
-convnext_small_in22ft1k,489.45,390.576,192,224,50.22
-legacy_seresnet101,487.73,522.616,256,224,49.33
-vit_relpos_medium_patch16_rpn_224,485.5,526.221,256,224,38.73
-efficientnet_lite3,484.47,263.098,128,300,8.2
-gluon_resnet101_v1s,483.47,527.891,256,224,44.67
-seresnet101,480.65,530.38,256,224,49.33
-nest_tiny,476.68,267.593,128,224,17.06
-nf_seresnet101,474.46,537.213,256,224,49.33
-mobilevitv2_150_in22ft1k,473.86,269.132,128,256,10.59
-mobilevitv2_150,473.84,269.144,128,256,10.59
-resnetblur101d,472.23,540.497,256,224,44.57
-jx_nest_tiny,472.22,270.163,128,224,17.06
-nf_ecaresnet101,469.53,543.375,256,224,44.55
-vgg13_bn,468.37,546.3,256,224,133.05
-twins_pcpvt_base,466.47,408.848,192,224,43.83
-tf_efficientnet_lite3,465.4,273.895,128,300,8.2
-vgg16,465.36,824.954,384,224,138.36
-sequencer2d_s,462.43,412.819,192,224,27.65
-mixnet_xl,460.21,554.308,256,224,11.9
-coat_lite_small,457.06,418.568,192,224,19.84
-efficientnet_b3a,456.95,278.403,128,288,12.23
-efficientnet_b3,456.81,278.448,128,288,12.23
-regnetx_080,454.56,843.629,384,224,39.57
-regnetx_064,452.43,564.953,256,224,26.21
-halo2botnet50ts_256,451.35,424.392,192,256,22.64
-densenet201,447.44,425.987,192,224,20.01
-ecaresnet101d,447.44,570.33,256,224,44.57
-nf_regnet_b4,445.8,428.533,192,320,30.21
-convit_small,443.63,431.737,192,224,27.78
-efficientnetv2_s,433.27,293.157,128,288,21.46
-skresnext50_32x4d,432.3,590.802,256,224,27.48
-botnet50ts_256,428.8,297.529,128,256,22.74
-ssl_resnext101_32x4d,427.28,447.74,192,224,44.18
-resnext101_32x4d,427.18,447.921,192,224,44.18
-swsl_resnext101_32x4d,427.16,447.915,192,224,44.18
-gluon_resnext101_32x4d,427.13,447.97,192,224,44.18
-poolformer_s36,425.0,449.906,192,224,30.86
-ese_vovnet39b_evos,421.31,302.862,128,224,24.58
-resnet101d,418.0,457.739,192,256,44.57
-dla102x,417.16,458.658,192,224,26.31
-res2net101_26w_4s,416.51,612.121,256,224,45.21
-lamhalobotnet50ts_256,413.09,463.774,192,256,22.57
-twins_svt_base,411.8,464.138,192,224,56.07
-crossvit_18_240,406.79,312.611,128,240,43.27
-tresnet_l,404.84,1261.389,512,224,55.99
-efficientnetv2_rw_s,402.34,315.806,128,288,23.94
-volo_d1_224,401.47,476.8,192,224,26.63
-resmlp_36_224,401.06,476.505,192,224,44.69
-res2net50_26w_8s,400.52,636.999,256,224,48.4
-resmlp_36_distilled_224,400.14,477.557,192,224,44.69
-swin_small_patch4_window7_224,399.67,478.499,192,224,49.61
-resnest50d_4s2x40d,396.0,645.092,256,224,30.42
-vit_base_patch16_224_miil,395.78,484.311,192,224,86.54
-crossvit_18_dagger_240,394.08,322.72,128,240,44.27
-deit_base_patch16_224,390.88,490.307,192,224,86.57
-vit_base_patch16_224,390.86,490.391,192,224,86.57
-vit_base_patch16_224_sam,390.67,490.608,192,224,86.57
-mobilevitv2_175_in22ft1k,389.97,327.241,128,256,14.25
-mobilevitv2_175,389.95,327.23,128,256,14.25
-tf_efficientnetv2_s_in21ft1k,389.66,326.288,128,300,21.46
-tf_efficientnetv2_s,389.1,326.713,128,300,21.46
-vgg16_bn,388.69,658.276,256,224,138.37
-regnety_064,388.46,657.256,256,224,30.58
-regnety_080,385.84,662.273,256,224,39.18
-deit_base_distilled_patch16_224,385.62,497.03,192,224,87.34
-xception,385.56,331.194,128,299,22.86
-regnety_040s_gn,384.97,330.927,128,224,20.65
-repvgg_b2g4,379.42,1348.329,512,224,61.76
-resnetv2_152,379.4,503.868,192,224,60.19
-regnetz_d8,378.76,336.282,128,256,23.37
-hrnet_w18,378.26,671.883,256,224,21.3
-ese_vovnet99b,377.27,677.036,256,224,63.2
-vit_small_resnet50d_s16_224,376.52,508.654,192,224,57.53
-cait_xxs36_224,375.8,507.032,192,224,17.3
-gluon_seresnext101_32x4d,375.02,509.78,192,224,48.96
-regnetz_040,374.91,339.544,128,256,27.12
-seresnext101_32x4d,374.73,510.176,192,224,48.96
-regnetv_064,372.69,513.522,192,224,30.58
-regnetz_040h,372.64,341.593,128,256,28.94
-legacy_seresnext101_32x4d,372.06,513.705,192,224,48.96
-deit3_base_patch16_224_in21ft1k,371.79,515.431,192,224,86.59
-deit3_base_patch16_224,371.73,515.464,192,224,86.59
-tf_efficientnet_b3,370.15,344.089,128,300,12.23
-tf_efficientnet_b3_ap,370.14,344.111,128,300,12.23
-tf_efficientnet_b3_ns,370.1,344.134,128,300,12.23
-resnet152,370.08,516.516,192,224,60.19
-vit_relpos_base_patch16_clsgap_224,369.76,518.105,192,224,86.43
-vit_relpos_base_patch16_cls_224,369.34,518.67,192,224,86.43
-resnetv2_50d_frn,369.16,345.594,128,224,25.59
-gluon_resnet152_v1b,369.02,517.998,192,224,60.19
-tv_resnet152,369.0,518.088,192,224,60.19
-regnetz_b16_evos,365.3,348.518,128,224,9.74
-sequencer2d_m,363.12,525.505,192,224,38.31
-ese_vovnet99b_iabn,362.9,1055.043,384,224,63.2
-resnetv2_152d,360.99,529.48,192,224,60.2
-beit_base_patch16_224,358.29,534.776,192,224,86.53
-xcit_tiny_12_p16_384_dist,357.91,534.55,192,384,6.72
-vit_relpos_base_patch16_224,355.33,539.194,192,224,86.43
-gluon_resnet152_v1c,354.77,538.797,192,224,60.21
-regnetz_d32,354.52,359.397,128,256,27.58
-swinv2_tiny_window8_256,354.35,540.569,192,256,28.35
-resnetv2_50d_evos,353.36,270.506,96,224,25.59
-dpn92,353.0,723.617,256,224,37.67
-vgg19,352.0,1090.655,384,224,143.67
-gluon_resnet152_v1d,351.06,544.563,192,224,60.21
-densenet161,346.02,367.416,128,224,28.68
-xception41p,344.85,370.318,128,299,26.91
-gluon_resnet152_v1s,344.7,368.96,128,224,60.32
-mobilevitv2_200,342.4,372.843,128,256,18.45
-tnt_s_patch16_224,342.25,559.037,192,224,23.76
-mobilevitv2_200_in22ft1k,342.08,373.147,128,256,18.45
-eca_nfnet_l1,341.07,561.084,192,256,41.41
-hrnet_w32,340.54,747.043,256,224,41.23
-dla169,338.11,565.259,192,224,53.39
-convnext_base_in22ft1k,337.76,377.102,128,224,88.59
-convnext_base,336.98,378.091,128,224,88.59
-repvgg_b2,335.01,1527.215,512,224,89.02
-repvgg_b3g4,334.01,1148.557,384,224,83.83
-vgg13,331.37,1544.923,512,224,133.05
-pit_b_224,331.17,385.577,128,224,73.76
-vgg19_bn,330.96,773.109,256,224,143.68
-pit_b_distilled_224,329.46,387.568,128,224,74.79
-regnetx_120,327.41,780.952,256,224,46.11
-twins_pcpvt_large,322.96,392.17,128,224,60.99
-hrnet_w30,321.86,790.607,256,224,37.71
-legacy_seresnet152,319.56,397.245,128,224,66.82
-inception_v4,316.87,603.734,192,299,42.68
-seresnet152,313.75,608.677,192,224,66.82
-vit_small_patch16_36x1_224,310.56,409.448,128,224,64.67
-dla102x2,309.09,412.537,128,224,41.28
-xcit_small_24_p16_224_dist,307.83,412.466,128,224,47.67
-convmixer_1024_20_ks9_p14,307.81,830.813,256,224,24.38
-vit_small_patch16_18x2_224,307.61,413.3,128,224,64.67
-xcit_small_24_p16_224,307.46,412.867,128,224,47.67
-regnety_120,307.05,623.971,192,224,51.82
-poolformer_m36,303.34,420.132,128,224,56.17
-efficientnet_el_pruned,301.49,423.464,128,300,10.59
-efficientnet_el,301.45,423.5,128,300,10.59
-swinv2_cr_small_ns_224,300.41,423.619,128,224,49.7
-swinv2_cr_small_224,297.65,427.521,128,224,49.7
-mixnet_xxl,297.33,428.503,128,224,23.96
-cait_s24_224,296.96,428.341,128,224,46.92
-nest_small,296.72,321.888,96,224,38.35
-coat_tiny,296.44,429.708,128,224,5.5
-tf_efficientnet_el,295.51,432.07,128,300,10.59
-jx_nest_small,294.83,323.932,96,224,38.35
-efficientnet_b4,293.1,325.442,96,320,19.34
-xception41,293.07,435.505,128,299,26.97
-xcit_tiny_12_p8_224_dist,291.52,437.287,128,224,6.71
-tresnet_xl,291.4,875.028,256,224,78.44
-resnext101_64x4d,291.33,437.816,128,224,83.46
-gluon_resnext101_64x4d,291.25,437.881,128,224,83.46
-swin_s3_small_224,289.76,439.818,128,224,49.74
-wide_resnet101_2,289.62,661.356,192,224,126.89
-xcit_tiny_12_p8_224,289.33,440.549,128,224,6.71
-twins_svt_large,289.11,440.647,128,224,99.27
-resnet152d,281.47,452.46,128,256,60.21
-swin_base_patch4_window7_224,279.66,455.817,128,224,87.77
-convnext_tiny_384_in22ft1k,278.8,343.389,96,384,28.59
-resnet200,276.62,459.688,128,224,64.67
-ssl_resnext101_32x8d,276.52,461.341,128,224,88.79
-ig_resnext101_32x8d,276.39,461.582,128,224,88.79
-resnext101_32x8d,276.22,461.854,128,224,88.79
-swsl_resnext101_32x8d,276.22,461.764,128,224,88.79
-repvgg_b3,271.93,1411.039,384,224,123.09
-nfnet_f1,271.43,705.161,192,224,132.63
-resnetv2_50d_evob,268.92,355.729,96,224,25.59
-gmlp_b16_224,268.22,356.298,96,224,73.08
-dpn98,267.62,476.602,128,224,61.57
-regnetx_160,266.55,719.244,192,224,54.28
-regnety_160,264.44,724.758,192,224,83.59
-gluon_seresnext101_64x4d,264.12,482.344,128,224,88.23
-ens_adv_inception_resnet_v2,261.47,730.952,192,299,55.84
-inception_resnet_v2,261.44,730.919,192,299,55.84
-xception65p,259.32,492.32,128,299,39.82
-efficientnet_lite4,255.23,249.374,64,380,13.01
-vit_base_patch16_rpn_224,254.51,753.593,192,224,86.54
-resnest101e,253.9,501.575,128,256,48.28
-crossvit_base_240,253.73,376.737,96,240,105.03
-seresnext101_32x8d,251.44,506.792,128,224,93.57
-vit_relpos_base_patch16_rpn_224,250.62,765.002,192,224,86.41
-vit_base_patch16_plus_240,248.4,514.352,128,240,117.56
-tf_efficientnet_lite4,247.32,257.437,64,380,13.01
-efficientnet_b3_gn,245.44,258.998,64,288,11.73
-dm_nfnet_f1,244.51,521.138,128,224,132.63
-seresnext101d_32x8d,242.49,525.503,128,224,93.59
-seresnet152d,242.25,392.75,96,256,66.84
-xcit_tiny_24_p16_384_dist,241.62,526.318,128,384,12.12
-vit_small_patch16_384,239.05,266.865,64,384,22.2
-vit_relpos_base_patch16_plus_240,238.57,535.322,128,240,117.38
-vit_large_r50_s32_224,237.94,401.033,96,224,328.99
-resnetrs152,237.63,535.199,128,256,86.62
-swinv2_tiny_window16_256,237.41,403.072,96,256,28.35
-seresnextaa101d_32x8d,228.0,559.15,128,224,93.59
-xcit_medium_24_p16_224_dist,227.91,558.239,128,224,84.4
-deit3_small_patch16_384_in21ft1k,227.77,280.008,64,384,22.21
-deit3_small_patch16_384,227.76,280.015,64,384,22.21
-xcit_medium_24_p16_224,227.75,558.491,128,224,84.4
-vit_small_r26_s32_384,227.25,280.302,64,384,36.47
-convit_base,224.86,568.198,128,224,86.54
-gluon_xception65,224.1,426.474,96,299,39.92
-swin_s3_base_224,223.36,426.944,96,224,71.13
-tnt_b_patch16_224,222.94,572.213,128,224,65.41
-xception65,222.93,428.728,96,299,39.92
-coat_mini,222.88,572.209,128,224,10.34
-volo_d2_224,222.28,430.111,96,224,58.68
-xcit_small_12_p16_384_dist,221.79,430.984,96,384,26.25
-poolformer_m48,220.53,432.741,96,224,73.47
-hrnet_w40,219.45,869.959,192,224,57.56
-vit_base_r50_s16_224,215.41,443.988,96,224,98.66
-swinv2_cr_base_ns_224,213.88,446.428,96,224,87.88
-sequencer2d_l,213.86,444.098,96,224,54.3
-swinv2_small_window8_256,212.59,449.01,96,256,49.73
-swinv2_cr_base_224,211.39,451.682,96,224,87.88
-mobilevitv2_150_384_in22ft1k,210.38,303.23,64,384,10.59
-nest_base,210.2,302.774,64,224,67.72
-tresnet_m_448,209.55,913.447,192,448,31.39
-efficientnetv2_m,207.96,304.545,64,320,54.14
-jx_nest_base,207.78,306.371,64,224,67.72
-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
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+densenet121,730.11,348.758,256,224,7.98
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+tf_efficientnet_el,295.51,432.07,128,300,10.59
+jx_nest_small,294.83,323.932,96,224,38.35
+efficientnet_b4,293.1,325.442,96,320,19.34
+xception41,293.07,435.505,128,299,26.97
+xcit_tiny_12_p8_224_dist,291.52,437.287,128,224,6.71
+tresnet_xl,291.4,875.028,256,224,78.44
+resnext101_64x4d,291.33,437.816,128,224,83.46
+gluon_resnext101_64x4d,291.25,437.881,128,224,83.46
+swin_s3_small_224,289.76,439.818,128,224,49.74
+wide_resnet101_2,289.62,661.356,192,224,126.89
+xcit_tiny_12_p8_224,289.33,440.549,128,224,6.71
+twins_svt_large,289.11,440.647,128,224,99.27
+resnet152d,281.47,452.46,128,256,60.21
+swin_base_patch4_window7_224,279.66,455.817,128,224,87.77
+convnext_tiny_384_in22ft1k,278.8,343.389,96,384,28.59
+resnet200,276.62,459.688,128,224,64.67
+ssl_resnext101_32x8d,276.52,461.341,128,224,88.79
+ig_resnext101_32x8d,276.39,461.582,128,224,88.79
+resnext101_32x8d,276.22,461.854,128,224,88.79
+swsl_resnext101_32x8d,276.22,461.764,128,224,88.79
+repvgg_b3,271.93,1411.039,384,224,123.09
+nfnet_f1,271.43,705.161,192,224,132.63
+resnetv2_50d_evob,268.92,355.729,96,224,25.59
+gmlp_b16_224,268.22,356.298,96,224,73.08
+dpn98,267.62,476.602,128,224,61.57
+regnetx_160,266.55,719.244,192,224,54.28
+regnety_160,264.44,724.758,192,224,83.59
+gluon_seresnext101_64x4d,264.12,482.344,128,224,88.23
+ens_adv_inception_resnet_v2,261.47,730.952,192,299,55.84
+inception_resnet_v2,261.44,730.919,192,299,55.84
+xception65p,259.32,492.32,128,299,39.82
+efficientnet_lite4,255.23,249.374,64,380,13.01
+vit_base_patch16_rpn_224,254.51,753.593,192,224,86.54
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+vit_relpos_base_patch16_rpn_224,250.62,765.002,192,224,86.41
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+tf_efficientnet_lite4,247.32,257.437,64,380,13.01
+efficientnet_b3_gn,245.44,258.998,64,288,11.73
+dm_nfnet_f1,244.51,521.138,128,224,132.63
+seresnext101d_32x8d,242.49,525.503,128,224,93.59
+seresnet152d,242.25,392.75,96,256,66.84
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+vit_small_patch16_384,239.05,266.865,64,384,22.2
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+vit_large_r50_s32_224,237.94,401.033,96,224,328.99
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+swinv2_tiny_window16_256,237.41,403.072,96,256,28.35
+seresnextaa101d_32x8d,228.0,559.15,128,224,93.59
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+convit_base,224.86,568.198,128,224,86.54
+gluon_xception65,224.1,426.474,96,299,39.92
+swin_s3_base_224,223.36,426.944,96,224,71.13
+tnt_b_patch16_224,222.94,572.213,128,224,65.41
+xception65,222.93,428.728,96,299,39.92
+coat_mini,222.88,572.209,128,224,10.34
+volo_d2_224,222.28,430.111,96,224,58.68
+xcit_small_12_p16_384_dist,221.79,430.984,96,384,26.25
+poolformer_m48,220.53,432.741,96,224,73.47
+hrnet_w40,219.45,869.959,192,224,57.56
+vit_base_r50_s16_224,215.41,443.988,96,224,98.66
+swinv2_cr_base_ns_224,213.88,446.428,96,224,87.88
+sequencer2d_l,213.86,444.098,96,224,54.3
+swinv2_small_window8_256,212.59,449.01,96,256,49.73
+swinv2_cr_base_224,211.39,451.682,96,224,87.88
+mobilevitv2_150_384_in22ft1k,210.38,303.23,64,384,10.59
+nest_base,210.2,302.774,64,224,67.72
+tresnet_m_448,209.55,913.447,192,448,31.39
+efficientnetv2_m,207.96,304.545,64,320,54.14
+jx_nest_base,207.78,306.371,64,224,67.72
+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_dist,183.21,520.533,96,224,12.11
+xcit_tiny_24_p8_224,183.21,520.609,96,224,12.11
+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
+tf_efficientnetv2_l_in21ft1k,83.27,379.678,32,384,118.52
+efficientnetv2_l,83.27,379.867,32,384,118.52
+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_distilled_224,67.03,475.867,32,224,129.14
+resmlp_big_24_224_in22ft1k,67.03,475.857,32,224,129.14
+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-pt112-cu113-rtx3090.csv b/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv
index 632456bd..3c0025c8 100644
--- a/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv
+++ b/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv
@@ -167,6 +167,7 @@ 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,1249.89,408.864,512,224,15.59
 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
@@ -421,7 +422,9 @@ botnet50ts_256,534.71,238.412,128,256,22.74
 mobilevitv2_150,533.38,238.97,128,256,10.59
 vit_base_r26_s32_224,533.28,358.697,192,224,101.38
 mobilevitv2_150_in22ft1k,532.99,239.183,128,256,10.59
+cs3sedarknet_x,531.85,479.872,256,256,35.4
 nf_ecaresnet101,531.3,479.947,256,224,44.55
+cs3edgenet_x,529.37,482.632,256,256,47.82
 res2next50,528.59,483.023,256,224,24.67
 res2net101_26w_4s,527.01,483.179,256,224,45.21
 vit_large_patch32_224,524.74,486.172,256,224,306.54
@@ -476,6 +479,7 @@ efficientnet_el,461.97,275.94,128,300,10.59
 coat_lite_small,461.36,414.606,192,224,19.84
 nf_regnet_b4,457.97,417.049,192,320,30.21
 vgg19,457.37,839.347,384,224,143.67
+cs3se_edgenet_x,457.05,418.615,192,256,50.72
 dla169,455.51,419.044,192,224,53.39
 convit_small,454.72,421.197,192,224,27.78
 gluon_resnet152_v1s,452.53,421.917,192,224,60.32
@@ -734,8 +738,8 @@ vit_large_r50_s32_384,77.34,411.186,32,384,329.09
 nasnetalarge,77.32,408.633,32,331,88.75
 swinv2_cr_small_384,76.42,416.277,32,384,49.7
 swin_base_patch4_window12_384,74.73,426.327,32,384,87.9
-resmlp_big_24_224_in22ft1k,70.88,449.933,32,224,129.14
 resmlp_big_24_distilled_224,70.88,449.95,32,224,129.14
+resmlp_big_24_224_in22ft1k,70.88,449.933,32,224,129.14
 resmlp_big_24_224,70.41,452.99,32,224,129.14
 regnety_320,66.33,1928.357,128,224,145.05
 xcit_tiny_24_p8_384_dist,66.29,479.361,32,384,12.11
@@ -757,8 +761,8 @@ efficientnetv2_xl,62.18,251.438,16,384,208.12
 tf_efficientnetv2_xl_in21ft1k,62.14,251.721,16,384,208.12
 xcit_small_12_p8_384_dist,61.84,386.224,24,384,26.21
 vit_base_r50_s16_384,61.01,391.67,24,384,98.95
-swinv2_large_window12to16_192to256_22kft1k,60.98,391.098,24,256,196.74
 vit_base_resnet50_384,60.98,391.903,24,384,98.95
+swinv2_large_window12to16_192to256_22kft1k,60.98,391.098,24,256,196.74
 eca_nfnet_l2,58.72,1632.112,96,320,56.72
 volo_d2_384,58.5,271.766,16,384,58.87
 resnetrs420,56.49,415.629,24,320,191.89
@@ -820,8 +824,8 @@ ig_resnext101_32x48d,11.2,1427.437,16,224,828.41
 tf_efficientnet_l2_ns_475,10.96,267.912,3,475,480.31
 dm_nfnet_f5,9.76,1222.345,12,416,377.21
 beit_large_patch16_512,9.42,422.548,4,512,305.67
-nfnet_f5,8.0,1992.337,16,416,377.21
 volo_d5_512,8.0,371.847,3,512,296.09
+nfnet_f5,8.0,1992.337,16,416,377.21
 dm_nfnet_f6,7.45,1065.231,8,448,438.36
 nfnet_f6,5.82,2052.248,12,448,438.36
 nfnet_f7,5.73,1387.07,8,480,499.5