pytorch-image-models/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tinynet_e,49277.65,20.77,1024,106,0.03,0.69,2.04
mobilenetv3_small_050,45562.75,22.464,1024,224,0.03,0.92,1.59
lcnet_035,41026.68,24.949,1024,224,0.03,1.04,1.64
lcnet_050,37575.13,27.242,1024,224,0.05,1.26,1.88
mobilenetv3_small_075,33062.39,30.961,1024,224,0.05,1.3,2.04
mobilenetv3_small_100,30012.26,34.109,1024,224,0.06,1.42,2.54
tf_mobilenetv3_small_minimal_100,28698.14,35.672,1024,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,27407.51,37.352,1024,224,0.05,1.3,2.04
tinynet_d,27236.47,37.585,1024,152,0.05,1.42,2.34
tf_mobilenetv3_small_100,25103.65,40.781,1024,224,0.06,1.42,2.54
lcnet_075,24140.95,42.406,1024,224,0.1,1.99,2.36
mnasnet_small,20706.43,49.443,1024,224,0.07,2.16,2.03
levit_128s,20595.72,49.709,1024,224,0.31,1.88,7.78
lcnet_100,19684.75,52.01,1024,224,0.16,2.52,2.95
mobilenetv2_035,18358.82,55.767,1024,224,0.07,2.86,1.68
regnetx_002,18244.04,56.117,1024,224,0.2,2.16,2.68
ghostnet_050,17564.96,58.287,1024,224,0.05,1.77,2.59
regnety_002,17006.07,60.202,1024,224,0.2,2.17,3.16
mnasnet_050,15925.32,64.29,1024,224,0.11,3.07,2.22
vit_tiny_r_s16_p8_224,15068.38,67.946,1024,224,0.44,2.06,6.34
mobilenetv2_050,14843.74,68.974,1024,224,0.1,3.64,1.97
tinynet_c,14634.69,69.959,1024,184,0.11,2.87,2.46
semnasnet_050,14248.78,71.855,1024,224,0.11,3.44,2.08
levit_128,14164.26,72.284,1024,224,0.41,2.71,9.21
vit_small_patch32_224,13811.36,74.131,1024,224,1.15,2.5,22.88
mixer_s32_224,13352.85,76.677,1024,224,1.0,2.28,19.1
cs3darknet_focus_s,12798.44,79.999,1024,256,0.69,2.7,3.27
lcnet_150,12783.12,80.094,1024,224,0.34,3.79,4.5
cs3darknet_s,12395.11,82.602,1024,256,0.72,2.97,3.28
regnetx_004,12366.39,82.791,1024,224,0.4,3.14,5.16
mobilenetv3_large_075,12001.32,85.313,1024,224,0.16,4.0,3.99
levit_192,11882.81,86.163,1024,224,0.66,3.2,10.95
resnet10t,11615.84,88.145,1024,224,1.1,2.43,5.44
ese_vovnet19b_slim_dw,11539.4,88.729,1024,224,0.4,5.28,1.9
gernet_s,11496.77,89.058,1024,224,0.75,2.65,8.17
mobilenetv3_rw,10873.77,94.16,1024,224,0.23,4.41,5.48
mobilenetv3_large_100,10705.06,95.645,1024,224,0.23,4.41,5.48
hardcorenas_a,10554.34,97.012,1024,224,0.23,4.38,5.26
tf_mobilenetv3_large_075,10511.12,97.41,1024,224,0.16,4.0,3.99
tf_mobilenetv3_large_minimal_100,10371.16,98.725,1024,224,0.22,4.4,3.92
mnasnet_075,10345.17,98.972,1024,224,0.23,4.77,3.17
hardcorenas_b,9695.74,105.601,1024,224,0.26,5.09,5.18
regnety_004,9655.22,106.046,1024,224,0.41,3.89,4.34
ghostnet_100,9483.99,107.96,1024,224,0.15,3.55,5.18
hardcorenas_c,9481.05,107.994,1024,224,0.28,5.01,5.52
tf_mobilenetv3_large_100,9456.79,108.271,1024,224,0.23,4.41,5.48
regnetx_006,9408.22,108.83,1024,224,0.61,3.98,6.2
mobilenetv2_075,9313.88,109.932,1024,224,0.22,5.86,2.64
tinynet_b,9291.99,110.191,1024,188,0.21,4.44,3.73
mnasnet_b1,9286.4,110.258,1024,224,0.33,5.46,4.38
mnasnet_100,9263.52,110.53,1024,224,0.33,5.46,4.38
gluon_resnet18_v1b,9078.31,112.785,1024,224,1.82,2.48,11.69
semnasnet_075,9069.42,112.895,1024,224,0.23,5.54,2.91
resnet18,9045.63,113.192,1024,224,1.82,2.48,11.69
ssl_resnet18,9045.4,113.196,1024,224,1.82,2.48,11.69
swsl_resnet18,9040.4,113.258,1024,224,1.82,2.48,11.69
levit_256,8921.47,114.768,1024,224,1.13,4.23,18.89
hardcorenas_d,8879.46,115.311,1024,224,0.3,4.93,7.5
regnety_006,8666.48,118.144,1024,224,0.61,4.33,6.06
seresnet18,8542.99,119.851,1024,224,1.82,2.49,11.78
mobilenetv2_100,8507.29,120.356,1024,224,0.31,6.68,3.5
spnasnet_100,8342.04,122.741,1024,224,0.35,6.03,4.42
legacy_seresnet18,8310.8,123.202,1024,224,1.82,2.49,11.78
semnasnet_100,8284.16,123.599,1024,224,0.32,6.23,3.89
mnasnet_a1,8283.57,123.607,1024,224,0.32,6.23,3.89
regnetx_008,7852.75,130.39,1024,224,0.81,5.15,7.26
hardcorenas_f,7809.07,131.117,1024,224,0.35,5.57,8.2
hardcorenas_e,7730.97,132.444,1024,224,0.35,5.65,8.07
efficientnet_lite0,7722.75,132.584,1024,224,0.4,6.74,4.65
levit_256d,7689.03,133.165,1024,224,1.4,4.93,26.21
xcit_nano_12_p16_224_dist,7674.8,133.413,1024,224,0.56,4.17,3.05
xcit_nano_12_p16_224,7670.11,133.492,1024,224,0.56,4.17,3.05
resnet18d,7636.48,134.082,1024,224,2.06,3.29,11.71
ghostnet_130,7625.58,134.274,1024,224,0.24,4.6,7.36
tf_efficientnetv2_b0,7614.25,134.473,1024,224,0.73,4.77,7.14
ese_vovnet19b_slim,7588.4,134.932,1024,224,1.69,3.52,3.17
deit_tiny_distilled_patch16_224,7449.3,137.451,1024,224,1.27,6.01,5.91
deit_tiny_patch16_224,7398.73,138.391,1024,224,1.26,5.97,5.72
vit_tiny_patch16_224,7390.78,138.538,1024,224,1.26,5.97,5.72
regnety_008,7366.88,138.989,1024,224,0.81,5.25,6.26
tinynet_a,7358.6,139.145,1024,192,0.35,5.41,6.19
dla46_c,7311.64,140.038,1024,224,0.58,4.5,1.3
fbnetc_100,7303.94,140.187,1024,224,0.4,6.51,5.57
mobilevitv2_050,7248.37,141.262,1024,256,0.48,8.04,1.37
tf_efficientnet_lite0,6816.26,150.218,1024,224,0.4,6.74,4.65
pit_ti_distilled_224,6788.49,150.832,1024,224,0.71,6.23,5.1
pit_ti_224,6762.99,151.401,1024,224,0.7,6.19,4.85
efficientnet_b0,6687.26,153.115,1024,224,0.4,6.75,5.29
visformer_tiny,6618.81,154.698,1024,224,1.27,5.72,10.32
rexnet_100,6608.65,154.937,1024,224,0.41,7.44,4.8
mnasnet_140,6580.58,155.597,1024,224,0.6,7.71,7.12
efficientnet_b1_pruned,6513.48,157.201,1024,240,0.4,6.21,6.33
rexnetr_100,6491.35,157.737,1024,224,0.43,7.72,4.88
mobilenetv2_110d,6395.98,160.089,1024,224,0.45,8.71,4.52
resnet14t,6341.58,161.462,1024,224,1.69,5.8,10.08
regnetz_005,6208.75,164.916,1024,224,0.52,5.86,7.12
dla46x_c,6145.64,166.61,1024,224,0.54,5.66,1.07
nf_regnet_b0,6055.0,169.104,1024,256,0.64,5.58,8.76
tf_efficientnet_b0,5992.76,170.862,1024,224,0.4,6.75,5.29
hrnet_w18_small,5908.15,173.308,1024,224,1.61,5.72,13.19
edgenext_xx_small,5886.07,173.957,1024,288,0.33,4.21,1.33
semnasnet_140,5856.63,174.833,1024,224,0.6,8.87,6.11
resnetblur18,5839.81,175.336,1024,224,2.34,3.39,11.69
ese_vovnet19b_dw,5825.11,175.779,1024,224,1.34,8.25,6.54
dla60x_c,5790.89,176.817,1024,224,0.59,6.01,1.32
mobilenetv2_140,5780.41,177.139,1024,224,0.6,9.57,6.11
skresnet18,5648.81,181.265,1024,224,1.82,3.24,11.96
mobilevit_xxs,5528.18,185.22,1024,256,0.42,8.34,1.27
efficientnet_b0_gn,5401.88,189.551,1024,224,0.42,6.75,5.29
convnext_atto,5364.13,190.886,1024,288,0.91,6.3,3.7
gluon_resnet34_v1b,5344.34,191.593,1024,224,3.67,3.74,21.8
resnet34,5335.05,191.926,1024,224,3.67,3.74,21.8
efficientnet_lite1,5334.12,191.959,1024,240,0.62,10.14,5.42
tv_resnet34,5332.7,192.011,1024,224,3.67,3.74,21.8
vit_base_patch32_224,5287.0,193.67,1024,224,4.41,5.01,88.22
vit_base_patch32_clip_224,5281.4,193.877,1024,224,4.41,5.01,88.22
levit_384,5276.74,194.047,1024,224,2.36,6.26,39.13
pit_xs_distilled_224,5241.4,195.357,1024,224,1.41,7.76,11.0
pit_xs_224,5237.09,195.517,1024,224,1.4,7.71,10.62
selecsls42,5225.99,195.932,1024,224,2.94,4.62,30.35
selecsls42b,5201.55,196.853,1024,224,2.98,4.62,32.46
gernet_m,5124.67,199.807,1024,224,3.02,5.24,21.14
pvt_v2_b0,5122.72,199.882,1024,224,0.57,7.99,3.67
tf_efficientnetv2_b1,5122.21,199.903,1024,240,1.21,7.34,8.14
mixnet_s,5079.84,201.57,1024,224,0.25,6.25,4.13
convnext_atto_ols,5062.64,202.255,1024,288,0.96,6.8,3.7
seresnet34,5028.88,203.611,1024,224,3.67,3.74,21.96
rexnetr_130,5003.96,204.626,1024,224,0.68,9.81,7.61
fbnetv3_b,5003.0,204.666,1024,256,0.55,9.1,8.6
mixer_b32_224,4982.51,205.508,1024,224,3.24,6.29,60.29
xcit_tiny_12_p16_224_dist,4879.26,209.853,1024,224,1.24,6.29,6.72
legacy_seresnet34,4875.12,210.034,1024,224,3.67,3.74,21.96
xcit_tiny_12_p16_224,4870.16,210.244,1024,224,1.24,6.29,6.72
resnet34d,4834.78,211.786,1024,224,3.91,4.54,21.82
tf_efficientnet_lite1,4822.03,212.348,1024,240,0.62,10.14,5.42
resnet26,4794.98,213.545,1024,224,2.36,7.35,16.0
mobilenetv2_120d,4786.27,213.934,1024,224,0.69,11.97,5.83
rexnet_130,4770.1,214.659,1024,224,0.68,9.71,7.56
efficientnet_b0_g16_evos,4743.69,215.854,1024,224,1.01,7.42,8.11
efficientnet_es,4736.89,216.163,1024,224,1.81,8.73,5.44
efficientnet_es_pruned,4735.25,216.239,1024,224,1.81,8.73,5.44
tf_mixnet_s,4735.17,216.242,1024,224,0.25,6.25,4.13
gmlp_ti16_224,4709.0,217.445,1024,224,1.34,7.55,5.87
convnext_femto,4672.08,219.162,1024,288,1.3,7.56,5.22
mobilevitv2_075,4638.17,220.764,1024,256,1.05,12.06,2.87
resmlp_12_224,4601.92,222.504,1024,224,3.01,5.5,15.35
resmlp_12_distilled_224,4597.97,222.695,1024,224,3.01,5.5,15.35
gmixer_12_224,4543.02,225.388,1024,224,2.67,7.26,12.7
fbnetv3_d,4532.2,225.927,1024,256,0.68,11.1,10.31
tf_efficientnet_es,4518.93,226.591,1024,224,1.81,8.73,5.44
selecsls60,4510.1,227.034,1024,224,3.59,5.52,30.67
mixer_s16_224,4509.29,227.075,1024,224,3.79,5.97,18.53
regnetx_016,4507.02,227.189,1024,224,1.62,7.93,9.19
selecsls60b,4490.35,228.033,1024,224,3.63,5.52,32.77
cs3darknet_focus_m,4487.64,228.171,1024,288,2.51,6.19,9.3
dla34,4481.03,228.505,1024,224,3.07,5.02,15.74
crossvit_tiny_240,4476.83,228.722,1024,240,1.57,9.08,7.01
convnext_femto_ols,4473.25,228.904,1024,288,1.35,8.06,5.23
vit_tiny_r_s16_p8_384,4463.13,229.423,1024,384,1.34,6.49,6.36
cs3darknet_m,4452.94,229.949,1024,288,2.63,6.69,9.31
repvgg_b0,4433.11,230.978,1024,224,3.41,6.15,15.82
resnet26d,4354.59,235.143,1024,224,2.6,8.15,16.01
rexnetr_150,4349.97,235.392,1024,224,0.89,11.13,9.78
resnetaa34d,4309.77,237.588,1024,224,4.43,5.07,21.82
efficientnet_b2_pruned,4309.58,237.598,1024,260,0.73,9.13,8.31
darknet17,4296.61,238.316,1024,256,3.26,7.18,14.3
vit_small_patch32_384,4250.58,240.897,1024,384,3.45,8.25,22.92
crossvit_9_240,4201.98,243.683,1024,240,1.85,9.52,8.55
nf_resnet26,4197.39,243.949,1024,224,2.41,7.35,16.0
efficientnet_b0_g8_gn,4190.39,244.357,1024,224,0.66,6.75,6.56
rexnet_150,4186.31,244.594,1024,224,0.9,11.21,9.73
ecaresnet50d_pruned,4182.62,244.81,1024,224,2.53,6.43,19.94
efficientformer_l1,4075.83,251.225,1024,224,1.3,5.53,12.29
poolformer_s12,4050.19,252.815,1024,224,1.82,5.53,11.92
regnety_016,4035.9,253.712,1024,224,1.63,8.04,11.2
efficientnet_lite2,4013.48,255.128,1024,260,0.89,12.9,6.09
crossvit_9_dagger_240,3992.98,256.437,1024,240,1.99,9.97,8.78
efficientnet_cc_b0_8e,3929.29,260.595,1024,224,0.42,9.42,24.01
efficientnet_cc_b0_4e,3918.01,261.346,1024,224,0.41,9.42,13.31
darknet21,3914.26,261.596,1024,256,3.93,7.47,20.86
efficientnet_b1,3876.9,264.116,1024,256,0.77,12.22,7.79
tf_efficientnet_b1,3834.3,267.052,1024,240,0.71,10.88,7.79
resnest14d,3793.21,269.944,1024,224,2.76,7.33,10.61
sedarknet21,3784.73,270.549,1024,256,3.93,7.47,20.95
resnext26ts,3775.5,271.211,1024,256,2.43,10.52,10.3
tf_efficientnetv2_b2,3727.06,274.735,1024,260,1.72,9.84,10.1
convnext_pico,3702.78,276.537,1024,288,2.27,10.08,9.05
edgenext_x_small,3692.42,277.311,1024,288,0.68,7.5,2.34
tf_efficientnet_cc_b0_8e,3691.33,277.395,1024,224,0.42,9.42,24.01
dpn48b,3689.99,277.494,1024,224,1.69,8.92,9.13
eca_resnext26ts,3675.59,278.583,1024,256,2.43,10.52,10.3
seresnext26ts,3670.33,278.98,1024,256,2.43,10.52,10.39
tf_efficientnet_cc_b0_4e,3665.41,279.357,1024,224,0.41,9.42,13.31
tf_efficientnet_lite2,3662.0,279.618,1024,260,0.89,12.9,6.09
nf_ecaresnet26,3619.99,282.862,1024,224,2.41,7.36,16.0
nf_seresnet26,3618.8,282.955,1024,224,2.41,7.36,17.4
gcresnext26ts,3594.7,284.852,1024,256,2.43,10.53,10.48
mobilevitv2_100,3589.19,213.964,768,256,1.84,16.08,4.9
gernet_l,3556.24,287.933,1024,256,4.57,8.0,31.08
legacy_seresnext26_32x4d,3545.88,288.774,1024,224,2.49,9.39,16.79
convnext_pico_ols,3532.27,289.886,1024,288,2.37,10.74,9.06
resnet26t,3503.33,292.28,1024,256,3.35,10.52,16.01
repvgg_a2,3454.82,296.386,1024,224,5.7,6.26,28.21
mixnet_m,3418.52,299.526,1024,224,0.36,8.19,5.01
efficientnet_b3_pruned,3356.7,305.049,1024,300,1.04,11.86,9.86
nf_regnet_b1,3352.23,305.456,1024,288,1.02,9.2,10.22
ecaresnext50t_32x4d,3339.2,306.649,1024,224,2.7,10.09,15.41
ecaresnext26t_32x4d,3337.18,306.833,1024,224,2.7,10.09,15.41
seresnext26tn_32x4d,3327.66,307.711,1024,224,2.7,10.09,16.81
seresnext26t_32x4d,3327.23,307.751,1024,224,2.7,10.09,16.81
seresnext26d_32x4d,3303.57,309.954,1024,224,2.73,10.19,16.81
tf_mixnet_m,3301.19,310.17,1024,224,0.36,8.19,5.01
convit_tiny,3286.62,311.554,1024,224,1.26,7.94,5.71
mobilevit_xs,3278.19,234.265,768,256,1.05,16.33,2.32
pit_s_224,3268.88,313.245,1024,224,2.88,11.56,23.46
pit_s_distilled_224,3266.72,313.452,1024,224,2.9,11.64,24.04
skresnet34,3242.45,315.8,1024,224,3.67,5.13,22.28
eca_botnext26ts_256,3224.24,317.583,1024,256,2.46,11.6,10.59
ecaresnet101d_pruned,3223.88,317.616,1024,224,3.48,7.69,24.88
deit_small_distilled_patch16_224,3220.79,317.922,1024,224,4.63,12.02,22.44
ecaresnetlight,3215.57,318.439,1024,224,4.11,8.42,30.16
deit_small_patch16_224,3209.05,319.085,1024,224,4.61,11.95,22.05
vit_small_patch16_224,3199.98,319.99,1024,224,4.61,11.95,22.05
eca_halonext26ts,3173.71,322.639,1024,256,2.44,11.46,10.76
convnextv2_atto,3162.98,323.733,1024,288,0.91,6.3,3.71
resnetv2_50,3158.28,324.214,1024,224,4.11,11.11,25.55
nf_regnet_b2,3133.63,326.765,1024,272,1.22,9.27,14.31
rexnetr_200,3133.12,245.111,768,224,1.59,15.11,16.52
botnet26t_256,3123.98,327.772,1024,256,3.32,11.98,12.49
coat_lite_tiny,3113.54,328.874,1024,224,1.6,11.65,5.72
vit_small_r26_s32_224,3112.34,329.001,1024,224,3.56,9.85,36.43
bat_resnext26ts,3103.95,329.89,1024,256,2.53,12.51,10.73
halonet26t,3103.39,329.95,1024,256,3.19,11.69,12.48
pvt_v2_b1,3095.14,330.828,1024,224,2.12,15.39,14.01
cspresnet50,3063.22,334.278,1024,256,4.54,11.5,21.62
resnet32ts,3055.79,335.09,1024,256,4.63,11.58,17.96
rexnet_200,3051.5,251.668,768,224,1.56,14.91,16.37
lambda_resnet26t,3046.2,336.144,1024,256,3.02,11.87,10.96
ssl_resnet50,3030.48,337.887,1024,224,4.11,11.11,25.56
gluon_resnet50_v1b,3027.43,338.23,1024,224,4.11,11.11,25.56
tv_resnet50,3027.39,338.232,1024,224,4.11,11.11,25.56
swsl_resnet50,3027.07,338.268,1024,224,4.11,11.11,25.56
resnet50,3025.4,338.455,1024,224,4.11,11.11,25.56
deit3_small_patch16_224_in21ft1k,3023.02,338.721,1024,224,4.61,11.95,22.06
deit3_small_patch16_224,3017.77,339.312,1024,224,4.61,11.95,22.06
tresnet_m,3006.54,340.578,1024,224,5.74,7.31,31.39
resnet33ts,3005.78,340.665,1024,256,4.76,11.66,19.68
vit_small_resnet26d_224,2994.08,341.995,1024,224,5.07,11.12,63.61
resnetv2_50t,2989.06,342.569,1024,224,4.32,11.82,25.57
regnetx_032,2988.15,342.675,1024,224,3.2,11.37,15.3
dpn68b,2981.13,343.481,1024,224,2.35,10.47,12.61
hrnet_w18_small_v2,2978.67,343.765,1024,224,2.62,9.65,15.6
dpn68,2975.29,344.155,1024,224,2.35,10.47,12.61
resnetv2_50d,2971.15,344.633,1024,224,4.35,11.92,25.57
efficientnet_em,2938.12,348.51,1024,240,3.04,14.34,6.9
vit_base_patch32_plus_256,2934.64,348.925,1024,256,7.79,7.76,119.48
coat_lite_mini,2921.75,350.462,1024,224,2.0,12.25,11.01
tf_efficientnet_b2,2919.63,350.718,1024,260,1.02,13.83,9.11
seresnet33ts,2919.51,350.732,1024,256,4.76,11.66,19.78
eca_resnet33ts,2917.21,351.008,1024,256,4.76,11.66,19.68
haloregnetz_b,2890.29,354.276,1024,224,1.97,11.94,11.68
coatnet_pico_rw_224,2884.58,354.98,1024,224,2.05,14.62,10.85
dla60,2883.99,355.049,1024,224,4.26,10.16,22.04
gluon_resnet50_v1c,2872.58,356.463,1024,224,4.35,11.92,25.58
resnet50t,2869.49,356.844,1024,224,4.32,11.82,25.57
gcresnet33ts,2863.36,357.609,1024,256,4.76,11.68,19.88
gluon_resnet50_v1d,2853.24,358.879,1024,224,4.35,11.92,25.58
cspresnet50d,2852.98,358.911,1024,256,4.86,12.55,21.64
resnet50d,2850.55,359.218,1024,224,4.35,11.92,25.58
vovnet39a,2845.31,359.878,1024,224,7.09,6.73,22.6
cspresnet50w,2835.31,361.148,1024,256,5.04,12.19,28.12
vgg11,2827.53,362.143,1024,224,7.61,7.44,132.86
tf_efficientnet_em,2826.28,362.303,1024,240,3.04,14.34,6.9
visformer_small,2818.88,363.251,1024,224,4.88,11.43,40.22
vit_relpos_small_patch16_224,2792.87,366.637,1024,224,4.59,13.05,21.98
vit_relpos_base_patch32_plus_rpn_256,2784.26,367.771,1024,256,7.68,8.01,119.42
vit_srelpos_small_patch16_224,2781.72,368.106,1024,224,4.59,12.16,21.97
resnest26d,2772.97,369.267,1024,224,3.64,9.97,17.07
cs3darknet_focus_l,2770.5,369.596,1024,288,5.9,10.16,21.15
efficientnet_b2a,2767.64,369.979,1024,288,1.12,16.2,9.11
efficientnet_b2,2766.98,370.065,1024,288,1.12,16.2,9.11
ese_vovnet39b,2760.12,370.986,1024,224,7.09,6.74,24.57
legacy_seresnet50,2753.49,371.881,1024,224,3.88,10.6,28.09
densenet121,2749.79,372.378,1024,224,2.87,6.9,7.98
tv_densenet121,2747.16,372.735,1024,224,2.87,6.9,7.98
eca_vovnet39b,2736.53,374.185,1024,224,7.09,6.74,22.6
coatnet_nano_cc_224,2716.19,376.986,1024,224,2.24,15.02,13.76
convnextv2_femto,2710.95,377.714,1024,288,1.3,7.56,5.23
resnetv2_50x1_bit_distilled,2704.93,378.554,1024,224,4.23,11.11,25.55
selecsls84,2697.2,379.64,1024,224,5.9,7.57,50.95
flexivit_small,2693.55,380.153,1024,240,5.35,14.18,22.06
twins_svt_small,2691.25,380.48,1024,224,2.94,13.75,24.06
mixnet_l,2678.25,382.327,1024,224,0.58,10.84,7.33
seresnet50,2674.61,382.848,1024,224,4.11,11.13,28.09
xcit_nano_12_p16_384_dist,2668.39,383.74,1024,384,1.64,12.15,3.05
cs3darknet_l,2649.93,386.412,1024,288,6.16,10.83,21.16
coatnet_nano_rw_224,2633.36,388.844,1024,224,2.41,15.41,15.14
coatnext_nano_rw_224,2627.24,389.75,1024,224,2.47,12.8,14.7
xcit_tiny_24_p16_224_dist,2617.14,391.253,1024,224,2.34,11.82,12.12
densenet121d,2616.98,391.278,1024,224,3.11,7.7,8.0
xcit_tiny_24_p16_224,2614.91,391.584,1024,224,2.34,11.82,12.12
resnet50_gn,2599.07,393.975,1024,224,4.14,11.11,25.56
vit_relpos_small_patch16_rpn_224,2596.73,394.33,1024,224,4.59,13.05,21.97
res2net50_48w_2s,2593.21,394.865,1024,224,4.18,11.72,25.29
mobilevit_s,2587.93,296.749,768,256,2.03,19.94,5.58
convnext_nano,2579.36,396.983,1024,288,4.06,13.84,15.59
tf_mixnet_l,2577.4,397.288,1024,224,0.58,10.84,7.33
resnetaa50d,2573.35,397.912,1024,224,5.39,12.44,25.58
vgg11_bn,2556.04,400.607,1024,224,7.62,7.44,132.87
seresnet50t,2550.33,401.504,1024,224,4.32,11.83,28.1
ecaresnet50d,2544.16,402.478,1024,224,4.35,11.93,25.58
gcvit_xxtiny,2518.13,406.639,1024,224,2.14,15.36,12.0
cs3sedarknet_l,2502.51,409.176,1024,288,6.16,10.83,21.91
resnetrs50,2497.73,409.96,1024,224,4.48,12.14,35.69
mobilevitv2_125,2489.87,308.438,768,256,2.86,20.1,7.48
resnetblur50,2484.87,412.08,1024,224,5.16,12.02,25.56
cspresnext50,2483.24,412.352,1024,256,4.05,15.86,20.57
gluon_resnet50_v1s,2459.02,416.413,1024,224,5.47,13.52,25.68
efficientnet_cc_b1_8e,2458.85,416.443,1024,240,0.75,15.44,39.72
vit_base_resnet26d_224,2458.01,416.584,1024,224,6.97,13.16,101.4
densenetblur121d,2444.58,418.873,1024,224,3.11,7.9,8.0
tv_resnext50_32x4d,2431.41,421.143,1024,224,4.26,14.4,25.03
ssl_resnext50_32x4d,2431.35,421.155,1024,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2430.87,421.236,1024,224,4.26,14.4,25.03
resnext50_32x4d,2429.56,421.462,1024,224,4.26,14.4,25.03
gluon_resnext50_32x4d,2428.35,421.674,1024,224,4.26,14.4,25.03
dla60x,2414.82,424.035,1024,224,3.54,13.8,17.35
efficientnet_lite3,2407.43,212.664,512,300,1.65,21.85,8.2
regnetx_040,2406.98,425.416,1024,224,3.99,12.2,22.12
semobilevit_s,2404.63,319.371,768,256,2.03,19.95,5.74
gcresnext50ts,2402.57,426.196,1024,256,3.75,15.46,15.67
regnety_040s_gn,2385.11,429.317,1024,224,4.03,12.29,20.65
resnetblur50d,2367.52,432.507,1024,224,5.4,12.82,25.58
vovnet57a,2360.79,433.737,1024,224,8.95,7.52,36.64
tf_efficientnet_cc_b1_8e,2357.71,434.307,1024,240,0.75,15.44,39.72
resmlp_24_distilled_224,2351.85,435.39,1024,224,5.96,10.91,30.02
resmlp_24_224,2345.81,436.509,1024,224,5.96,10.91,30.02
res2net50_14w_8s,2341.48,437.317,1024,224,4.21,13.28,25.06
coatnet_rmlp_nano_rw_224,2340.53,437.494,1024,224,2.62,20.34,15.15
sehalonet33ts,2339.44,328.271,768,256,3.55,14.7,13.69
res2net50_26w_4s,2338.49,437.876,1024,224,4.28,12.61,25.7
convnext_nano_ols,2328.37,439.779,1024,288,4.38,15.5,15.65
lambda_resnet26rpt_256,2324.88,165.158,384,256,3.16,11.87,10.99
gmixer_24_224,2324.82,440.451,1024,224,5.28,14.45,24.72
gcresnet50t,2321.78,441.028,1024,256,5.42,14.67,25.9
resnext50d_32x4d,2317.05,441.929,1024,224,4.5,15.2,25.05
resnest50d_1s4x24d,2309.9,443.296,1024,224,4.43,13.57,25.68
seresnetaa50d,2309.78,443.319,1024,224,5.4,12.46,28.11
dla60_res2net,2301.91,444.834,1024,224,4.15,12.34,20.85
vit_base_r26_s32_224,2301.77,444.864,1024,224,6.81,12.36,101.38
twins_pcpvt_small,2290.09,447.132,1024,224,3.83,18.08,24.11
regnetz_b16,2286.62,447.81,1024,288,2.39,16.43,9.72
ese_vovnet57b,2267.23,451.64,1024,224,8.95,7.52,38.61
gluon_inception_v3,2265.31,452.024,1024,299,5.73,8.97,23.83
inception_v3,2260.97,452.888,1024,299,5.73,8.97,23.83
adv_inception_v3,2258.89,453.305,1024,299,5.73,8.97,23.83
tf_inception_v3,2255.73,453.943,1024,299,5.73,8.97,23.83
densenet169,2232.91,458.582,1024,224,3.4,7.3,14.15
tf_efficientnetv2_b3,2223.64,460.493,1024,300,3.04,15.74,14.36
nf_ecaresnet50,2211.52,463.019,1024,224,4.21,11.13,25.56
nf_seresnet50,2207.21,463.921,1024,224,4.21,11.13,28.09
skresnet50,2206.75,464.017,1024,224,4.11,12.5,25.8
edgenext_small,2206.31,464.109,1024,320,1.97,14.16,5.59
seresnext50_32x4d,2197.09,466.058,1024,224,4.26,14.42,27.56
gluon_seresnext50_32x4d,2196.94,466.091,1024,224,4.26,14.42,27.56
xcit_small_12_p16_224_dist,2195.81,466.33,1024,224,4.82,12.58,26.25
legacy_seresnext50_32x4d,2193.34,466.856,1024,224,4.26,14.42,27.56
xcit_small_12_p16_224,2190.16,467.534,1024,224,4.82,12.58,26.25
repvgg_b1g4,2188.83,467.817,1024,224,8.15,10.64,39.97
tf_efficientnet_lite3,2188.37,233.953,512,300,1.65,21.85,8.2
efficientnetv2_rw_t,2170.03,471.87,1024,288,3.19,16.42,13.65
gmlp_s16_224,2164.56,473.061,1024,224,4.42,15.1,19.42
dla60_res2next,2126.26,481.583,1024,224,3.49,13.17,17.03
gc_efficientnetv2_rw_t,2126.09,481.621,1024,288,3.2,16.45,13.68
skresnet50d,2112.57,484.703,1024,224,4.36,13.31,25.82
mobilevitv2_150,2105.0,243.219,512,256,4.09,24.11,10.59
mobilevitv2_150_in22ft1k,2104.51,243.274,512,256,4.09,24.11,10.59
convnextv2_pico,2092.16,489.434,1024,288,2.27,10.08,9.07
poolformer_s24,2090.38,489.851,1024,224,3.41,10.68,21.39
cs3sedarknet_xdw,2090.04,489.929,1024,256,5.97,17.18,21.6
res2next50,2085.23,491.055,1024,224,4.2,13.71,24.67
cspdarknet53,2084.51,491.231,1024,256,6.57,16.81,27.64
fbnetv3_g,2084.48,491.238,1024,288,1.77,21.09,16.62
crossvit_small_240,2074.04,493.709,1024,240,5.63,18.17,26.86
deit3_medium_patch16_224_in21ft1k,2064.27,496.046,1024,224,8.0,15.93,38.85
deit3_medium_patch16_224,2063.34,496.268,1024,224,8.0,15.93,38.85
xcit_nano_12_p8_224_dist,2049.01,499.742,1024,224,2.16,15.71,3.05
xcit_nano_12_p8_224,2044.48,500.848,1024,224,2.16,15.71,3.05
nf_regnet_b3,2035.39,503.085,1024,320,2.05,14.61,18.59
cs3darknet_focus_x,2017.73,507.488,1024,256,8.03,10.69,35.02
vit_relpos_medium_patch16_cls_224,2000.38,511.89,1024,224,8.03,18.24,38.76
lambda_resnet50ts,1991.21,514.246,1024,256,5.07,17.48,21.54
swin_tiny_patch4_window7_224,1978.72,517.495,1024,224,4.51,17.06,28.29
sebotnet33ts_256,1959.75,195.932,384,256,3.89,17.46,13.7
coatnet_0_rw_224,1957.32,523.148,1024,224,4.43,18.73,27.44
ecaresnet26t,1953.32,524.224,1024,320,5.24,16.44,16.01
regnetx_080,1942.5,527.144,1024,224,8.02,14.06,39.57
gcvit_xtiny,1941.57,527.393,1024,224,2.93,20.26,19.98
resnetv2_101,1925.46,531.806,1024,224,7.83,16.23,44.54
regnetx_064,1920.06,533.303,1024,224,6.49,16.37,26.21
mixnet_xl,1918.85,533.64,1024,224,0.93,14.57,11.9
edgenext_small_rw,1912.9,535.3,1024,320,2.46,14.85,7.83
vit_relpos_medium_patch16_224,1907.96,536.687,1024,224,7.97,17.02,38.75
vit_srelpos_medium_patch16_224,1900.57,538.773,1024,224,7.96,16.21,38.74
resnest50d,1896.74,539.858,1024,224,5.4,14.36,27.48
crossvit_15_240,1894.86,540.397,1024,240,5.81,19.77,27.53
vit_base_resnet50d_224,1892.78,540.989,1024,224,8.73,16.92,110.97
gluon_resnet101_v1b,1879.26,544.883,1024,224,7.83,16.23,44.55
tv_resnet101,1878.26,545.172,1024,224,7.83,16.23,44.55
resnet101,1875.25,546.047,1024,224,7.83,16.23,44.55
dla102,1873.79,546.472,1024,224,7.19,14.18,33.27
efficientformer_l3,1868.08,548.142,1024,224,3.93,12.01,31.41
maxvit_rmlp_pico_rw_256,1866.73,411.402,768,256,1.85,24.86,7.52
resnetv2_101d,1855.94,551.727,1024,224,8.07,17.04,44.56
pvt_v2_b2,1835.92,557.745,1024,224,4.05,27.53,25.36
maxvit_pico_rw_256,1829.44,419.787,768,256,1.83,22.3,7.46
vgg13,1820.36,562.512,1024,224,11.31,12.25,133.05
lamhalobotnet50ts_256,1818.57,563.067,1024,256,5.02,18.44,22.57
crossvit_15_dagger_240,1817.96,563.255,1024,240,6.13,20.43,28.21
gluon_resnet101_v1c,1816.14,563.82,1024,224,8.08,17.04,44.57
res2net50_26w_6s,1811.81,565.168,1024,224,6.33,15.28,37.05
gluon_resnet101_v1d,1808.21,566.295,1024,224,8.08,17.04,44.57
swin_s3_tiny_224,1803.67,567.72,1024,224,4.64,19.13,28.33
coatnet_rmlp_0_rw_224,1803.63,567.733,1024,224,4.72,24.89,27.45
vit_relpos_medium_patch16_rpn_224,1770.72,578.284,1024,224,7.97,17.02,38.73
halonet50ts,1765.73,579.917,1024,256,5.3,19.2,22.73
repvgg_b1,1760.92,581.5,1024,224,13.16,10.64,57.42
coatnet_bn_0_rw_224,1753.99,583.799,1024,224,4.67,22.04,27.44
wide_resnet50_2,1747.87,585.844,1024,224,11.43,14.4,68.88
efficientnet_b3,1741.21,294.036,512,320,2.01,26.52,12.23
efficientnet_b3a,1740.84,294.1,512,320,2.01,26.52,12.23
densenet201,1738.22,589.096,1024,224,4.34,7.85,20.01
coatnet_0_224,1727.45,296.376,512,224,4.58,24.01,25.04
darknetaa53,1721.33,594.876,1024,288,10.08,15.68,36.02
tf_efficientnet_b3,1720.61,297.558,512,300,1.87,23.83,12.23
cait_xxs24_224,1720.1,595.301,1024,224,2.53,20.29,11.96
vit_large_patch32_224,1718.53,595.845,1024,224,15.41,13.32,327.9
mobilevitv2_175,1697.71,301.572,512,256,5.54,28.13,14.25
mobilevitv2_175_in22ft1k,1697.51,301.606,512,256,5.54,28.13,14.25
xcit_tiny_12_p16_384_dist,1694.92,604.145,1024,384,3.64,18.26,6.72
pvt_v2_b2_li,1694.45,604.311,1024,224,3.91,27.6,22.55
coat_lite_small,1694.41,604.328,1024,224,3.96,22.09,19.84
resnetaa101d,1692.59,604.976,1024,224,9.12,17.56,44.57
legacy_seresnet101,1686.93,607.005,1024,224,7.61,15.74,49.33
tresnet_v2_l,1685.52,607.515,1024,224,8.81,16.34,46.17
hrnet_w18,1679.12,609.832,1024,224,4.32,16.31,21.3
vit_medium_patch16_gap_240,1667.0,614.264,1024,240,9.22,18.81,44.4
vit_tiny_patch16_384,1660.88,616.528,1024,384,4.7,25.39,5.79
regnetv_040,1659.81,616.926,1024,288,6.6,20.3,20.64
convnext_tiny_hnf,1659.73,616.951,1024,288,7.39,22.21,28.59
seresnet101,1655.13,618.666,1024,224,7.84,16.27,49.33
vit_base_patch32_384,1651.29,620.109,1024,384,13.06,16.5,88.3
vit_base_patch32_clip_384,1649.72,620.7,1024,384,13.06,16.5,88.3
regnety_040,1647.66,621.47,1024,288,6.61,20.3,20.65
regnety_032,1645.25,622.383,1024,288,5.29,18.61,19.44
gluon_resnet101_v1s,1642.29,623.505,1024,224,9.19,18.64,44.67
vgg13_bn,1634.19,626.596,1024,224,11.33,12.25,133.05
resnetaa50,1631.05,627.803,1024,288,8.52,19.24,25.56
mixer_b16_224_miil,1628.71,628.706,1024,224,12.62,14.53,59.88
mixer_b16_224,1627.79,629.061,1024,224,12.62,14.53,59.88
convnext_tiny,1626.95,629.384,1024,288,7.39,22.21,28.59
nf_resnet101,1620.77,631.785,1024,224,8.01,16.23,44.55
swinv2_cr_tiny_224,1618.15,632.807,1024,224,4.66,28.45,28.33
ecaresnet101d,1609.33,636.276,1024,224,8.08,17.07,44.57
twins_pcpvt_base,1605.41,637.831,1024,224,6.68,25.25,43.83
dla102x,1601.78,639.274,1024,224,5.89,19.42,26.31
ese_vovnet39b_evos,1601.47,639.4,1024,224,7.07,6.74,24.58
darknet53,1597.03,641.177,1024,288,11.78,15.68,41.61
resnetblur101d,1596.24,641.494,1024,224,9.12,17.94,44.57
resnet51q,1592.08,643.172,1024,288,8.07,20.94,35.7
swinv2_cr_tiny_ns_224,1591.39,643.448,1024,224,4.66,28.45,28.33
mixer_l32_224,1583.03,646.85,1024,224,11.27,19.86,206.94
resmlp_36_distilled_224,1577.86,648.967,1024,224,8.91,16.33,44.69
resmlp_36_224,1577.4,649.158,1024,224,8.91,16.33,44.69
resnetv2_50d_gn,1561.87,655.61,1024,288,7.24,19.7,25.57
botnet50ts_256,1556.81,246.643,384,256,5.54,22.23,22.74
nf_resnet50,1548.83,661.132,1024,288,6.88,18.37,25.56
resnetv2_50d_frn,1547.35,661.764,1024,224,4.33,11.92,25.59
halo2botnet50ts_256,1546.64,496.545,768,256,5.02,21.78,22.64
mvitv2_tiny,1534.63,667.247,1024,224,4.7,21.16,24.17
gluon_resnext101_32x4d,1505.04,680.366,1024,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1504.46,680.63,1024,224,8.01,21.23,44.18
cs3darknet_x,1504.38,680.665,1024,288,10.6,14.36,35.05
ssl_resnext101_32x4d,1503.93,680.869,1024,224,8.01,21.23,44.18
resnext101_32x4d,1503.63,681.005,1024,224,8.01,21.23,44.18
resnest50d_4s2x40d,1497.58,683.755,1024,224,4.4,17.94,30.42
convnextv2_nano,1488.75,515.858,768,288,4.06,13.84,15.62
skresnext50_32x4d,1478.83,692.427,1024,224,4.5,17.18,27.48
mobilevitv2_200,1478.44,519.454,768,256,7.22,32.15,18.45
tresnet_l,1477.44,693.076,1024,224,10.88,11.9,55.99
mobilevitv2_200_in22ft1k,1477.37,519.83,768,256,7.22,32.15,18.45
vgg16,1475.59,693.946,1024,224,15.47,13.56,138.36
regnetz_c16,1475.58,693.953,1024,320,3.92,25.88,13.46
resnetv2_50d_evob,1468.61,697.244,1024,224,4.33,11.92,25.59
vit_medium_patch16_gap_256,1467.03,697.996,1024,256,10.59,22.15,38.86
res2net50_26w_8s,1466.52,698.239,1024,224,8.37,17.95,48.4
sequencer2d_s,1465.84,698.562,1024,224,4.96,11.31,27.65
eca_nfnet_l0,1461.61,700.586,1024,288,7.12,17.29,24.14
nfnet_l0,1460.27,701.228,1024,288,7.13,17.29,35.07
cs3sedarknet_x,1435.72,713.217,1024,288,10.6,14.37,35.4
resnet61q,1434.01,714.068,1024,288,9.87,21.52,36.85
res2net101_26w_4s,1424.71,718.728,1024,224,8.1,18.45,45.21
repvgg_b2g4,1415.15,723.581,1024,224,12.63,12.9,61.76
nest_tiny,1413.2,543.434,768,224,5.83,25.48,17.06
poolformer_s36,1408.65,726.922,1024,224,5.0,15.82,30.86
maxvit_rmlp_nano_rw_256,1404.06,546.971,768,256,4.47,31.92,15.5
convit_small,1397.72,732.608,1024,224,5.76,17.87,27.78
jx_nest_tiny,1387.89,553.347,768,224,5.83,25.48,17.06
maxvit_nano_rw_256,1378.18,557.246,768,256,4.46,30.28,15.45
nf_ecaresnet101,1373.28,745.649,1024,224,8.01,16.27,44.55
nf_seresnet101,1369.04,747.958,1024,224,8.02,16.27,49.33
gluon_seresnext101_32x4d,1358.35,753.84,1024,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1357.27,754.442,1024,224,8.02,21.26,48.96
efficientnet_b3_gn,1357.0,282.964,384,320,2.14,28.83,11.73
nfnet_f0,1356.65,754.786,1024,256,12.62,18.05,71.49
seresnext101_32x4d,1356.0,755.148,1024,224,8.02,21.26,48.96
resnetv2_152,1353.28,756.668,1024,224,11.55,22.56,60.19
xception,1353.17,567.542,768,299,8.4,35.83,22.86
twins_svt_base,1350.54,758.199,1024,224,8.59,26.33,56.07
crossvit_18_240,1343.82,761.996,1024,240,9.05,26.26,43.27
ese_vovnet99b_iabn,1343.72,762.049,1024,224,16.49,11.27,63.2
maxxvit_rmlp_nano_rw_256,1341.45,763.341,1024,256,4.37,26.05,16.78
regnetx_120,1339.05,764.708,1024,224,12.13,21.37,46.11
vgg16_bn,1336.79,765.998,1024,224,15.5,13.56,138.37
dpn92,1330.6,769.562,1024,224,6.54,18.21,37.67
tv_resnet152,1329.75,770.054,1024,224,11.56,22.56,60.19
gcvit_tiny,1328.61,770.718,1024,224,4.79,29.82,28.22
gluon_resnet152_v1b,1328.2,770.954,1024,224,11.56,22.56,60.19
resnet152,1327.13,771.578,1024,224,11.56,22.56,60.19
ese_vovnet99b,1316.93,777.554,1024,224,16.51,11.27,63.2
pvt_v2_b3,1316.31,777.917,1024,224,6.92,37.7,45.24
xcit_tiny_12_p8_224_dist,1300.55,787.348,1024,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,1299.96,787.704,1024,224,4.81,23.6,6.71
crossvit_18_dagger_240,1298.96,788.312,1024,240,9.5,27.03,44.27
hrnet_w32,1297.82,789.002,1024,224,8.97,22.02,41.23
gluon_resnet152_v1c,1296.47,789.825,1024,224,11.8,23.36,60.21
resnetv2_152d,1296.37,789.881,1024,224,11.8,23.36,60.2
gluon_resnet152_v1d,1293.21,791.811,1024,224,11.8,23.36,60.21
vit_small_resnet50d_s16_224,1288.35,794.801,1024,224,13.48,24.82,57.53
cs3edgenet_x,1281.15,799.266,1024,288,14.59,16.36,47.82
edgenext_base,1272.74,804.548,1024,320,6.01,24.32,18.51
regnety_120,1268.38,807.318,1024,224,12.14,21.38,51.82
dla169,1258.34,813.753,1024,224,11.6,20.2,53.39
hrnet_w30,1252.2,817.74,1024,224,8.15,21.21,37.71
xception41p,1249.06,409.896,512,299,9.25,39.86,26.91
maxxvitv2_nano_rw_256,1248.81,819.967,1024,256,6.26,23.05,23.7
ecaresnet50t,1243.91,823.198,1024,320,8.82,24.13,25.57
vgg19,1237.03,827.774,1024,224,19.63,14.86,143.67
swin_small_patch4_window7_224,1228.67,833.406,1024,224,8.77,27.47,49.61
efficientnet_el_pruned,1220.93,838.69,1024,300,8.0,30.7,10.59
densenet161,1220.41,839.05,1024,224,7.79,11.06,28.68
efficientnet_el,1218.76,840.187,1024,300,8.0,30.7,10.59
deit_base_distilled_patch16_224,1211.4,845.292,1024,224,17.68,24.05,87.34
vit_base_patch16_224,1209.0,846.969,1024,224,17.58,23.9,86.57
vit_base_patch16_224_miil,1208.72,847.163,1024,224,17.59,23.91,94.4
deit_base_patch16_224,1208.56,847.275,1024,224,17.58,23.9,86.57
vit_base_patch16_clip_224,1205.77,849.236,1024,224,17.58,23.9,86.57
gluon_resnet152_v1s,1205.41,849.488,1024,224,12.92,24.96,60.32
coatnet_rmlp_1_rw_224,1201.89,851.979,1024,224,7.85,35.47,41.69
maxvit_tiny_rw_224,1200.3,853.107,1024,224,5.11,33.11,29.06
mixnet_xxl,1193.04,643.721,768,224,2.04,23.43,23.96
tf_efficientnet_el,1192.11,858.967,1024,300,8.0,30.7,10.59
swinv2_tiny_window8_256,1191.01,859.761,1024,256,5.96,24.57,28.35
volo_d1_224,1190.57,860.079,1024,224,6.94,24.43,26.63
repvgg_b2,1183.91,864.916,1024,224,20.45,12.9,89.02
legacy_seresnet152,1181.09,866.978,1024,224,11.33,22.08,66.82
xcit_small_24_p16_224_dist,1175.31,871.245,1024,224,9.1,23.64,47.67
xcit_small_24_p16_224,1174.76,871.656,1024,224,9.1,23.64,47.67
inception_v4,1168.76,876.127,1024,299,12.28,15.09,42.68
seresnet152,1166.02,878.19,1024,224,11.57,22.61,66.82
twins_pcpvt_large,1163.18,880.331,1024,224,9.84,35.82,60.99
deit3_base_patch16_224,1159.4,883.201,1024,224,17.58,23.9,86.59
deit3_base_patch16_224_in21ft1k,1159.14,883.404,1024,224,17.58,23.9,86.59
cait_xxs36_224,1156.4,885.493,1024,224,3.77,30.34,17.3
vit_base_patch32_clip_448,1154.9,886.645,1024,448,17.93,23.9,88.34
regnetx_160,1153.07,888.048,1024,224,15.99,25.52,54.28
dm_nfnet_f0,1152.75,888.293,1024,256,12.62,18.05,71.49
sequencer2d_m,1147.71,892.201,1024,224,6.55,14.26,38.31
repvgg_b3g4,1145.87,893.631,1024,224,17.89,15.1,83.83
mvitv2_small_cls,1144.7,894.542,1024,224,7.04,28.17,34.87
mvitv2_small,1143.83,895.224,1024,224,7.0,28.08,34.87
efficientnet_lite4,1139.64,336.935,384,380,4.04,45.66,13.01
tnt_s_patch16_224,1135.12,902.091,1024,224,5.24,24.37,23.76
convmixer_1024_20_ks9_p14,1130.85,905.497,1024,224,5.55,5.51,24.38
vgg19_bn,1127.16,908.464,1024,224,19.66,14.86,143.68
vit_relpos_base_patch16_clsgap_224,1124.58,910.547,1024,224,17.6,25.12,86.43
vit_relpos_base_patch16_cls_224,1122.76,912.026,1024,224,17.6,25.12,86.43
coatnet_rmlp_1_rw2_224,1119.61,914.591,1024,224,8.11,40.13,41.72
beit_base_patch16_224,1109.32,923.073,1024,224,17.58,23.9,86.53
xception41,1107.6,462.251,512,299,9.28,39.86,26.97
tresnet_xl,1106.51,925.423,1024,224,15.17,15.34,78.44
beitv2_base_patch16_224,1106.05,925.798,1024,224,17.58,23.9,86.53
coat_tiny,1099.16,931.604,1024,224,4.35,27.2,5.5
vit_base_patch16_gap_224,1085.51,943.323,1024,224,17.49,25.59,86.57
maxvit_tiny_tf_224,1081.57,710.062,768,224,5.6,35.78,30.92
vit_relpos_base_patch16_224,1078.21,949.713,1024,224,17.51,24.97,86.43
nf_regnet_b4,1075.82,951.823,1024,384,4.7,28.61,30.21
coatnet_1_rw_224,1074.48,953.005,1024,224,8.04,34.6,41.72
dla102x2,1070.83,956.252,1024,224,9.34,29.91,41.28
pit_b_224,1066.8,479.928,512,224,12.42,32.94,73.76
pit_b_distilled_224,1063.31,481.504,512,224,12.5,33.07,74.79
tf_efficientnet_lite4,1058.68,362.703,384,380,4.04,45.66,13.01
efficientnetv2_s,1057.28,968.508,1024,384,8.44,35.77,21.46
vit_large_r50_s32_224,1034.79,989.556,1024,224,19.58,24.41,328.99
vit_small_patch16_36x1_224,1032.1,992.142,1024,224,13.71,35.69,64.67
efficientnet_b3_g8_gn,1031.26,496.465,512,320,3.2,28.83,14.25
tf_efficientnetv2_s,1029.13,995.002,1024,384,8.44,35.77,21.46
flexivit_base,1028.55,995.558,1024,240,20.29,28.36,86.59
vit_base_patch16_rpn_224,1016.66,1007.208,1024,224,17.49,23.75,86.54
vit_small_r26_s32_384,1011.11,1012.73,1024,384,10.43,29.85,36.47
vit_small_patch16_18x2_224,1005.34,1018.547,1024,224,13.71,35.69,64.67
swinv2_cr_small_224,1000.71,1023.259,1024,224,9.07,50.27,49.7
efficientnetv2_rw_s,995.91,1028.19,1024,384,8.72,38.03,23.94
wide_resnet101_2,995.32,1028.801,1024,224,22.8,21.23,126.89
swinv2_cr_small_ns_224,989.25,1035.114,1024,224,9.08,50.27,49.7
vit_relpos_base_patch16_rpn_224,986.84,1037.641,1024,224,17.51,24.97,86.41
coatnet_1_224,984.69,519.944,512,224,8.7,39.0,42.23
resnet200,983.36,1041.314,1024,224,15.07,32.19,64.67
dpn98,982.09,1042.657,1024,224,11.73,25.2,61.57
convnext_small,981.97,1042.782,1024,288,14.39,35.65,50.22
cs3se_edgenet_x,975.89,1049.279,1024,320,18.01,20.21,50.72
regnety_080,969.67,1056.01,1024,288,13.22,29.69,39.18
poolformer_m36,966.97,1058.965,1024,224,8.8,22.02,56.17
resnest101e,963.69,1062.57,1024,256,13.38,28.66,48.28
regnetz_b16_evos,955.65,803.632,768,288,2.36,16.43,9.74
twins_svt_large,954.95,1072.291,1024,224,15.15,35.1,99.27
pvt_v2_b4,952.02,1075.594,1024,224,10.14,53.74,62.56
gluon_resnext101_64x4d,944.48,1084.183,1024,224,15.52,31.21,83.46
regnetv_064,944.32,1084.367,1024,288,10.55,27.11,30.58
regnety_064,944.18,1084.526,1024,288,10.56,27.11,30.58
maxvit_rmlp_tiny_rw_256,941.64,815.588,768,256,6.77,46.92,29.15
regnetz_d8,936.16,1093.814,1024,320,6.19,37.08,23.37
resnetrs101,936.12,1093.858,1024,288,13.56,28.53,63.62
regnetz_d32,933.58,1096.833,1024,320,9.33,37.08,27.58
ig_resnext101_32x8d,930.9,1099.997,1024,224,16.48,31.21,88.79
swsl_resnext101_32x8d,930.28,1100.725,1024,224,16.48,31.21,88.79
resnext101_32x8d,929.98,1101.084,1024,224,16.48,31.21,88.79
ssl_resnext101_32x8d,929.0,1102.24,1024,224,16.48,31.21,88.79
convnextv2_tiny,925.13,553.423,512,288,7.39,22.21,28.64
convnextv2_small,924.53,1107.57,1024,224,8.71,21.56,50.32
maxvit_tiny_rw_256,921.72,833.209,768,256,6.74,44.35,29.07
inception_resnet_v2,917.69,1115.834,1024,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,917.66,1115.871,1024,299,13.18,25.06,55.84
maxxvit_rmlp_tiny_rw_256,914.74,1119.428,1024,256,6.66,39.76,29.64
xcit_tiny_24_p16_384_dist,912.61,1122.045,1024,384,6.87,34.29,12.12
cait_s24_224,908.65,1126.929,1024,224,9.35,40.58,46.92
pvt_v2_b5,904.89,1131.615,1024,224,11.76,50.92,81.96
nest_small,902.63,850.834,768,224,10.35,40.04,38.35
repvgg_b3,901.73,1135.583,1024,224,29.16,15.1,123.09
maxvit_tiny_pm_256,896.67,1141.994,1024,256,6.61,47.9,30.09
xception65p,896.53,571.079,512,299,13.91,52.48,39.82
swin_s3_small_224,896.35,856.792,768,224,9.43,37.84,49.74
jx_nest_small,892.32,860.663,768,224,10.35,40.04,38.35
efficientnet_b4,890.89,431.018,384,384,4.51,50.04,19.34
gmlp_b16_224,885.75,1156.072,1024,224,15.78,30.21,73.08
gluon_seresnext101_64x4d,885.23,1156.747,1024,224,15.53,31.25,88.23
hrnet_w40,881.9,1161.12,1024,224,12.75,25.29,57.56
efficientformer_l7,877.43,1167.027,1024,224,10.17,24.45,82.23
coat_mini,874.29,1171.227,1024,224,6.82,33.68,10.34
resnet101d,871.81,1174.559,1024,320,16.48,34.77,44.57
swin_base_patch4_window7_224,870.1,1176.867,1024,224,15.47,36.63,87.77
regnetz_040,868.17,884.605,768,320,6.35,37.78,27.12
regnetz_040h,862.76,890.151,768,320,6.43,37.94,28.94
mobilevitv2_150_384_in22ft1k,848.7,301.627,256,384,9.2,54.25,10.59
resnetv2_50d_evos,844.34,909.573,768,288,7.15,19.7,25.59
tf_efficientnet_b4,838.16,458.136,384,380,4.49,49.49,19.34
crossvit_base_240,835.31,919.411,768,240,21.22,36.33,105.03
vit_base_r50_s16_224,821.15,1247.01,1024,224,21.67,35.31,114.69
xcit_medium_24_p16_224_dist,819.59,1249.397,1024,224,16.13,31.71,84.4
xcit_medium_24_p16_224,818.73,1250.697,1024,224,16.13,31.71,84.4
gcvit_small,807.46,1268.151,1024,224,8.57,41.61,51.09
gluon_xception65,806.21,635.055,512,299,13.96,52.48,39.92
xception65,800.01,639.983,512,299,13.96,52.48,39.92
mvitv2_base,799.31,1281.092,1024,224,10.16,40.5,51.47
hrnet_w44,789.29,1297.348,1024,224,14.94,26.92,67.06
vit_base_patch16_plus_240,780.68,1311.665,1024,240,27.41,33.08,117.56
hrnet_w48,780.39,1312.147,1024,224,17.34,28.56,77.47
swinv2_tiny_window16_256,778.19,657.926,512,256,6.68,39.02,28.35
tresnet_m_448,775.99,1319.596,1024,448,22.94,29.21,31.39
xcit_small_12_p16_384_dist,760.88,1345.804,1024,384,14.14,36.51,26.25
vit_small_patch16_384,750.95,1022.685,768,384,15.52,50.78,22.2
maxvit_rmlp_small_rw_224,745.49,1373.585,1024,224,10.75,49.3,64.9
sequencer2d_l,742.48,1379.149,1024,224,9.74,22.12,54.3
swinv2_small_window8_256,738.39,1386.788,1024,256,11.58,40.14,49.73
swin_s3_base_224,730.45,1401.854,1024,224,13.69,48.26,71.13
poolformer_m48,729.44,1403.808,1024,224,11.59,29.17,73.47
densenet264d_iabn,727.43,1407.671,1024,224,13.47,14.0,72.74
vit_relpos_base_patch16_plus_240,723.43,1415.468,1024,240,27.3,34.33,117.38
dpn131,722.72,1416.854,1024,224,16.09,32.97,79.25
tnt_b_patch16_224,722.12,1418.026,1024,224,14.09,39.01,65.41
deit3_small_patch16_384,717.36,1070.572,768,384,15.52,50.78,22.21
deit3_small_patch16_384_in21ft1k,716.76,1071.477,768,384,15.52,50.78,22.21
swinv2_cr_base_224,715.64,1430.874,1024,224,15.86,59.66,87.88
eca_nfnet_l1,713.15,1435.867,1024,320,14.92,34.42,41.41
coatnet_2_rw_224,709.88,721.237,512,224,15.09,49.22,73.87
swinv2_cr_base_ns_224,709.69,1442.871,1024,224,15.86,59.66,87.88
coatnet_rmlp_2_rw_224,708.85,722.285,512,224,15.18,54.78,73.88
convit_base,706.65,1449.076,1024,224,17.52,31.77,86.54
mobilevitv2_175_384_in22ft1k,703.41,363.928,256,384,12.47,63.29,14.25
maxvit_small_tf_224,701.58,729.767,512,224,11.66,53.17,68.93
densenet264,701.03,1460.686,1024,224,12.95,12.8,72.69
ecaresnet200d,694.19,1475.094,1024,256,20.0,43.15,64.69
resnetv2_50x1_bitm,691.29,740.624,512,448,16.62,44.46,25.55
seresnet200d,691.25,1481.355,1024,256,20.01,43.15,71.86
xcit_tiny_24_p8_224,684.73,1495.467,1024,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,684.22,1496.573,1024,224,9.21,45.39,12.11
convnext_base,682.42,1500.518,1024,288,25.43,47.53,88.59
volo_d2_224,663.51,1543.3,1024,224,14.34,41.34,58.68
coatnet_2_224,660.84,581.062,384,224,16.5,52.67,74.68
legacy_senet154,654.15,1565.387,1024,224,20.77,38.69,115.09
gluon_senet154,654.04,1565.641,1024,224,20.77,38.69,115.09
senet154,653.94,1565.866,1024,224,20.77,38.69,115.09
xcit_nano_12_p8_384_dist,646.53,1583.823,1024,384,6.34,46.08,3.05
dpn107,646.38,1584.202,1024,224,18.38,33.46,86.92
nest_base,640.55,799.298,512,224,17.96,53.39,67.72
jx_nest_base,633.53,808.151,512,224,17.96,53.39,67.72
mobilevitv2_200_384_in22ft1k,626.31,408.731,256,384,16.24,72.34,18.45
xception71,619.72,826.163,512,299,18.09,69.92,42.34
hrnet_w64,618.15,1656.539,1024,224,28.97,35.09,128.06
resnet152d,618.09,1656.699,1024,320,24.08,47.67,60.21
regnetz_c16_evos,604.19,847.399,512,320,3.86,25.88,13.49
gcvit_base,594.61,1722.135,1024,224,14.87,55.48,90.32
regnety_160,594.3,1292.258,768,288,26.37,38.07,83.59
maxxvit_rmlp_small_rw_256,588.15,1741.023,1024,256,14.67,58.38,66.01
xcit_small_12_p8_224,582.04,1759.324,1024,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,581.74,1760.224,1024,224,18.69,47.21,26.21
maxvit_rmlp_small_rw_256,575.72,1333.976,768,256,14.15,66.09,64.9
regnetx_320,551.07,1393.631,768,224,31.81,36.3,107.81
seresnet152d,547.51,1870.27,1024,320,24.09,47.72,66.84
resnetrs152,544.33,1881.196,1024,320,24.34,48.14,86.62
vit_large_patch32_384,543.23,1884.997,1024,384,45.31,43.86,306.63
halonet_h1,540.47,473.65,256,256,3.0,51.17,8.1
seresnet269d,540.42,1894.818,1024,256,26.59,53.6,113.67
swinv2_base_window8_256,529.22,1451.182,768,256,20.37,52.59,87.92
maxxvitv2_rmlp_base_rw_224,523.43,1956.308,1024,224,24.2,62.77,116.09
resnext101_64x4d,521.77,1962.525,1024,288,25.66,51.59,83.46
regnetz_e8,521.5,1472.647,768,320,15.46,63.94,57.7
mixer_l16_224,518.26,1975.807,1024,224,44.6,41.69,208.2
vit_medium_patch16_gap_384,508.63,1006.611,512,384,26.08,67.54,39.03
swin_large_patch4_window7_224,501.11,1532.586,768,224,34.53,54.94,196.53
regnety_320,490.98,2085.591,1024,224,32.34,30.26,145.05
swinv2_small_window16_256,487.64,1049.932,512,256,12.82,66.29,49.73
seresnext101_32x8d,483.23,2119.074,1024,288,27.24,51.63,93.57
vit_small_patch8_224,478.05,1071.009,512,224,22.44,80.84,21.67
ig_resnext101_32x16d,477.64,2143.862,1024,224,36.27,51.18,194.03
swsl_resnext101_32x16d,476.69,2148.145,1024,224,36.27,51.18,194.03
ssl_resnext101_32x16d,476.06,2150.954,1024,224,36.27,51.18,194.03
seresnext101d_32x8d,475.05,2155.547,1024,288,27.64,52.95,93.59
nf_regnet_b5,470.14,1089.029,512,456,11.7,61.95,49.74
xcit_large_24_p16_224_dist,468.86,2184.017,1024,224,35.86,47.27,189.1
xcit_large_24_p16_224,468.75,2184.529,1024,224,35.86,47.27,189.1
volo_d3_224,463.72,2208.199,1024,224,20.78,60.09,86.33
nfnet_f1,463.52,2209.163,1024,320,35.97,46.77,132.63
efficientnet_b5,460.91,555.412,256,448,9.59,93.56,30.39
resnet200d,453.15,2259.739,1024,320,31.25,67.33,64.69
efficientnetv2_m,451.89,2266.018,1024,416,18.6,67.5,54.14
seresnextaa101d_32x8d,447.26,2289.498,1024,288,28.51,56.44,93.59
efficientnetv2_rw_m,437.1,1757.005,768,416,21.49,79.62,53.24
swinv2_cr_large_224,422.08,1819.551,768,224,35.1,78.42,196.68
coatnet_rmlp_3_rw_224,421.87,910.226,384,224,33.56,79.47,165.15
xcit_tiny_12_p8_384_dist,421.04,2432.044,1024,384,14.13,69.14,6.71
swinv2_cr_tiny_384,419.77,609.847,256,384,15.34,161.01,28.33
maxvit_rmlp_base_rw_224,419.03,1832.808,768,224,23.15,92.64,116.14
resnetv2_152x2_bit_teacher,418.89,2444.553,1024,224,46.95,45.11,236.34
resnetv2_101x1_bitm,418.36,1223.813,512,448,31.65,64.93,44.54
dm_nfnet_f1,409.02,1877.643,768,320,35.97,46.77,132.63
xcit_small_24_p16_384_dist,407.47,2513.062,1024,384,26.72,68.58,47.67
coatnet_3_rw_224,404.39,633.033,256,224,33.44,73.83,181.81
tf_efficientnet_b5,403.59,634.298,256,456,10.46,98.86,30.39
convnextv2_base,402.92,1270.715,512,288,25.43,47.53,88.72
resnetrs200,396.11,2585.123,1024,320,31.51,67.81,93.21
tresnet_l_448,395.6,2588.481,1024,448,43.5,47.56,55.99
eva_large_patch14_196,391.22,2617.408,1024,196,61.57,63.52,304.14
vit_large_patch16_224,389.92,2626.132,1024,224,61.6,63.52,304.33
regnetz_d8_evos,389.86,1969.937,768,320,7.03,38.92,23.46
maxvit_base_tf_224,387.71,1320.545,512,224,24.04,95.01,119.47
coatnet_3_224,387.35,660.882,256,224,36.56,79.01,166.97
crossvit_15_dagger_408,386.57,662.227,256,408,21.45,95.05,28.5
vit_base_patch16_18x2_224,384.3,2664.545,1024,224,52.51,71.38,256.73
deit3_large_patch16_224,376.93,2716.643,1024,224,61.6,63.52,304.37
deit3_large_patch16_224_in21ft1k,376.54,2719.504,1024,224,61.6,63.52,304.37
tf_efficientnetv2_m,374.38,2051.373,768,480,24.76,89.84,54.14
convnext_large,371.39,1378.579,512,288,56.87,71.29,197.77
beitv2_large_patch16_224,360.12,2843.465,1024,224,61.6,63.52,304.43
beit_large_patch16_224,359.86,2845.558,1024,224,61.6,63.52,304.43
swinv2_base_window12to16_192to256_22kft1k,359.31,1068.705,384,256,22.02,84.71,87.92
swinv2_base_window16_256,359.09,1069.342,384,256,22.02,84.71,87.92
eca_nfnet_l2,347.1,2212.621,768,384,30.05,68.28,56.72
flexivit_large,333.31,3072.173,1024,240,70.99,75.39,304.36
vit_large_r50_s32_384,332.86,3076.333,1024,384,57.43,76.52,329.09
maxxvitv2_rmlp_large_rw_224,330.79,3095.576,1024,224,44.14,87.15,215.42
resnest200e,317.25,3227.754,1024,320,35.69,82.78,70.2
maxvit_tiny_tf_384,317.22,807.002,256,384,17.53,123.42,30.98
convmixer_768_32,309.28,3310.892,1024,224,19.55,25.95,21.11
deit_base_patch16_384,306.13,1254.335,384,384,55.54,101.56,86.86
vit_base_patch16_384,306.13,1254.349,384,384,55.54,101.56,86.86
vit_base_patch16_clip_384,305.56,1256.673,384,384,55.54,101.56,86.86
xcit_small_24_p8_224_dist,305.18,3355.41,1024,224,35.81,90.78,47.63
deit_base_distilled_patch16_384,304.96,1259.16,384,384,55.65,101.82,87.63
xcit_small_24_p8_224,304.86,3358.887,1024,224,35.81,90.78,47.63
nasnetalarge,300.31,1278.679,384,331,23.89,90.56,88.75
volo_d1_384,299.05,1712.072,512,384,22.75,108.55,26.78
volo_d4_224,295.86,3461.069,1024,224,44.34,80.22,192.96
deit3_base_patch16_384,294.03,1305.985,384,384,55.54,101.56,86.88
deit3_base_patch16_384_in21ft1k,293.78,1307.085,384,384,55.54,101.56,86.88
tresnet_xl_448,292.43,2626.294,768,448,60.65,61.31,78.44
pnasnet5large,285.95,1342.894,384,331,25.04,92.89,86.06
vit_large_patch14_224,285.66,3584.705,1024,224,81.08,88.79,304.2
vit_large_patch14_clip_224,285.43,3587.599,1024,224,81.08,88.79,304.2
crossvit_18_dagger_408,283.82,901.967,256,408,32.47,124.87,44.61
xcit_medium_24_p16_384_dist,282.22,3628.317,1024,384,47.39,91.64,84.4
cait_xxs24_384,275.38,3718.492,1024,384,9.63,122.66,12.03
regnety_640,271.79,2825.663,768,224,64.16,42.5,281.38
maxvit_large_tf_224,268.97,1427.67,384,224,43.68,127.35,211.79
nfnet_f2,263.0,3893.59,1024,352,63.22,79.06,193.78
beit_base_patch16_384,260.66,1473.146,384,384,55.54,101.56,86.74
swinv2_cr_small_384,258.79,989.214,256,384,29.7,298.03,49.7
ecaresnet269d,257.79,3972.16,1024,352,50.25,101.25,102.09
resnetrs270,249.11,4110.633,1024,352,51.13,105.48,129.86
mvitv2_large,248.64,2059.181,512,224,43.87,112.02,217.99
efficientnet_b6,246.42,519.432,128,528,19.4,167.39,43.04
convnext_xlarge,241.35,2121.412,512,288,100.8,95.05,350.2
convnextv2_large,238.64,1072.708,256,288,56.87,71.29,197.96
tf_efficientnet_b6,236.4,541.434,128,528,19.4,167.39,43.04
swin_base_patch4_window12_384,235.04,816.885,192,384,47.19,134.78,87.9
dm_nfnet_f2,234.34,3277.279,768,352,63.22,79.06,193.78
coatnet_4_224,228.52,1120.23,256,224,62.48,129.26,275.43
vit_base_r50_s16_384,227.31,1689.303,384,384,67.43,135.03,98.95
efficientnetv2_l,221.97,2306.653,512,480,56.4,157.99,118.52
xcit_tiny_24_p8_384_dist,221.23,4628.611,1024,384,27.05,132.95,12.11
ig_resnext101_32x32d,220.61,2320.857,512,224,87.29,91.12,468.53
swinv2_large_window12to16_192to256_22kft1k,219.46,1166.485,256,256,47.81,121.53,196.74
tf_efficientnetv2_l,219.35,2334.183,512,480,56.4,157.99,118.52
resmlp_big_24_224,214.31,4778.166,1024,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,214.13,4782.043,1024,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,214.04,4784.169,1024,224,100.23,87.31,129.14
xcit_medium_24_p8_224_dist,210.1,4873.763,1024,224,63.53,121.23,84.32
xcit_medium_24_p8_224,210.01,4875.864,1024,224,63.53,121.23,84.32
maxvit_small_tf_384,208.79,919.556,192,384,35.87,183.65,69.02
vit_base_patch8_224,199.59,1282.637,256,224,78.22,161.69,86.58
eca_nfnet_l3,199.58,2565.434,512,448,52.55,118.4,72.04
volo_d5_224,196.25,5217.924,1024,224,72.4,118.11,295.46
xcit_small_12_p8_384_dist,194.27,2635.521,512,384,54.92,138.29,26.21
cait_xs24_384,192.73,3984.863,768,384,19.28,183.98,26.67
swinv2_cr_base_384,184.92,1384.392,256,384,50.57,333.68,87.88
cait_xxs36_384,184.35,5554.56,1024,384,14.35,183.7,17.37
swinv2_cr_huge_224,183.61,2091.395,384,224,115.97,121.08,657.83
convnext_xxlarge,183.01,2098.268,384,224,151.66,95.29,846.47
coatnet_rmlp_2_rw_384,178.88,715.532,128,384,47.69,209.43,73.88
convmixer_1536_20,173.51,5901.752,1024,224,48.68,33.03,51.63
volo_d2_384,168.46,1519.603,256,384,46.17,184.51,58.87
resnetrs350,168.28,6085.136,1024,384,77.59,154.74,163.96
xcit_large_24_p16_384_dist,160.71,4778.847,768,384,105.35,137.17,189.1
resnetv2_152x2_bit_teacher_384,159.55,1604.488,256,384,136.16,132.56,236.34
maxvit_xlarge_tf_224,155.79,1643.178,256,224,97.49,191.02,474.95
maxvit_tiny_tf_512,155.64,822.373,128,512,33.49,257.59,31.05
regnety_1280,155.18,2474.502,384,224,127.66,71.58,644.81
vit_huge_patch14_224,154.03,6647.897,1024,224,167.43,139.43,658.75
vit_huge_patch14_clip_224,153.92,6652.944,1024,224,167.4,139.41,632.05
maxxvitv2_rmlp_base_rw_384,153.34,1669.502,256,384,72.98,213.74,116.09
efficientnetv2_xl,152.49,3357.61,512,512,93.85,247.32,208.12
tf_efficientnetv2_xl,151.4,2536.254,384,512,93.85,247.32,208.12
deit3_huge_patch14_224_in21ft1k,149.08,6868.834,1024,224,167.4,139.41,632.13
deit3_huge_patch14_224,149.01,6871.974,1024,224,167.4,139.41,632.13
cait_s24_384,148.46,3448.684,512,384,32.17,245.31,47.06
resnest269e,147.61,3468.584,512,416,77.69,171.98,110.93
nfnet_f3,147.43,3472.717,512,416,115.58,141.78,254.92
efficientnet_b7,142.41,674.084,96,600,38.33,289.94,66.35
resnetv2_50x3_bitm,138.27,1388.564,192,448,145.7,133.37,217.32
tf_efficientnet_b7,137.89,696.181,96,600,38.33,289.94,66.35
swin_large_patch4_window12_384,137.6,930.229,128,384,104.08,202.16,196.74
ig_resnext101_32x48d,132.29,2902.628,384,224,153.57,131.06,828.41
dm_nfnet_f3,127.59,4012.898,512,416,115.58,141.78,254.92
coatnet_5_224,125.18,1022.512,128,224,145.49,194.24,687.47
maxvit_rmlp_base_rw_384,121.26,2111.079,256,384,70.97,318.95,116.14
xcit_large_24_p8_224,119.97,6401.598,768,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,119.94,6403.17,768,224,141.23,181.56,188.93
resnetrs420,119.93,6403.598,768,416,108.45,213.79,191.89
resnetv2_152x2_bitm,117.33,2181.801,256,448,184.99,180.43,236.34
maxvit_base_tf_384,113.69,1688.826,192,384,73.8,332.9,119.65
swinv2_cr_large_384,113.07,1132.03,128,384,108.95,404.96,196.68
eva_large_patch14_336,102.65,2493.904,256,336,191.1,270.24,304.53
vit_large_patch14_clip_336,102.47,2498.286,256,336,191.11,270.24,304.53
vit_large_patch16_384,102.37,2500.639,256,384,191.21,270.24,304.72
xcit_small_24_p8_384_dist,102.36,5001.728,512,384,105.24,265.91,47.63
eva_giant_patch14_224,101.75,10063.521,1024,224,267.18,192.64,1012.56
vit_giant_patch14_224,100.42,7648.057,768,224,267.18,192.64,1012.61
vit_giant_patch14_clip_224,100.32,7655.265,768,224,267.18,192.64,1012.65
cait_s36_384,99.37,5152.338,512,384,47.99,367.4,68.37
deit3_large_patch16_384,99.34,2577.037,256,384,191.21,270.24,304.76
deit3_large_patch16_384_in21ft1k,99.27,2578.907,256,384,191.21,270.24,304.76
regnety_2560,97.99,2612.623,256,224,257.07,87.48,826.14
maxvit_small_tf_512,97.85,981.11,96,512,67.26,383.77,69.13
swinv2_base_window12to24_192to384_22kft1k,95.95,666.98,64,384,55.25,280.36,87.92
efficientnet_b8,95.3,1007.298,96,672,63.48,442.89,87.41
tf_efficientnet_b8,92.65,1036.1,96,672,63.48,442.89,87.41
beit_large_patch16_384,88.55,2890.891,256,384,191.21,270.24,305.0
resnetv2_101x3_bitm,83.1,2310.491,192,448,280.33,194.78,387.93
maxvit_large_tf_384,80.34,1593.284,128,384,132.55,445.84,212.03
nfnet_f4,79.54,4827.723,384,512,216.26,262.26,316.07
volo_d3_448,73.5,2612.274,192,448,96.33,446.83,86.63
dm_nfnet_f4,71.41,3584.699,256,512,216.26,262.26,316.07
xcit_medium_24_p8_384_dist,70.91,5415.294,384,384,186.67,354.73,84.32
swinv2_large_window12to24_192to384_22kft1k,60.84,788.97,48,384,116.15,407.83,196.74
vit_gigantic_patch14_clip_224,60.15,8511.823,512,224,483.96,275.37,1844.91
vit_gigantic_patch14_224,60.11,8517.291,512,224,483.95,275.37,1844.44
nfnet_f5,58.02,4412.387,256,544,290.97,349.71,377.21
vit_huge_patch14_clip_336,57.29,4468.831,256,336,390.97,407.54,632.46
convnextv2_huge,56.06,1712.576,96,384,337.96,232.35,660.29
volo_d4_448,54.47,2349.801,128,448,197.13,527.35,193.41
tf_efficientnet_l2,54.12,1182.593,64,475,172.11,609.89,480.31
maxvit_base_tf_512,52.65,1823.292,96,512,138.02,703.99,119.88
swinv2_cr_giant_224,52.12,2455.882,128,224,483.85,309.15,2598.76
dm_nfnet_f5,50.7,5049.339,256,544,290.97,349.71,377.21
swinv2_cr_huge_384,48.86,1309.971,64,384,352.04,583.18,657.94
maxvit_xlarge_tf_384,46.24,2076.289,96,384,292.78,668.76,475.32
nfnet_f6,44.3,5778.548,256,576,378.69,452.2,438.36
xcit_large_24_p8_384_dist,40.2,6368.127,256,384,415.0,531.82,188.93
eva_giant_patch14_336,39.77,6436.237,256,336,620.64,550.67,1013.01
dm_nfnet_f6,39.62,6461.626,256,576,378.69,452.2,438.36
maxvit_large_tf_512,38.67,1654.908,64,512,244.75,942.15,212.33
volo_d5_448,37.56,3408.043,128,448,315.06,737.92,295.91
beit_large_patch16_512,35.36,2715.28,96,512,362.24,656.39,305.67
nfnet_f7,34.74,7370.0,256,608,480.39,570.85,499.5
cait_m36_384,32.36,7912.123,256,384,173.11,734.81,271.22
resnetv2_152x4_bitm,30.0,4266.89,128,480,844.84,414.26,936.53
volo_d5_512,26.35,4857.602,128,512,425.09,1105.37,296.09
maxvit_xlarge_tf_512,23.12,2076.455,48,512,534.14,1413.22,475.77
efficientnet_l2,21.26,1505.032,32,800,479.12,1707.39,480.31
swinv2_cr_giant_384,15.03,2129.6,32,384,1450.71,1394.86,2598.76
cait_m48_448,13.69,9353.048,128,448,329.41,1708.23,356.46
eva_giant_patch14_560,10.36,4631.037,48,560,1906.76,2577.17,1014.45