model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_vit,160,707.29,1.405,1,0.37,0.04,0.48
test_byobnet,160,682.63,1.456,1,0.46,0.03,0.43
test_efficientnet,160,642.73,1.547,1,0.36,0.06,0.55
lcnet_035,224,382.51,2.604,1,1.64,0.03,1.04
resnet10t,176,353.93,2.811,1,5.44,0.7,1.51
tf_mobilenetv3_small_minimal_100,224,353.74,2.817,1,2.04,0.06,1.41
lcnet_050,224,342.17,2.912,1,1.88,0.05,1.26
mobilenetv3_small_050,224,310.68,3.207,1,1.59,0.03,0.92
tinynet_e,106,298.2,3.341,1,2.04,0.03,0.69
lcnet_075,224,288.24,3.457,1,2.36,0.1,1.99
lcnet_150,224,281.14,3.544,1,4.5,0.34,3.79
lcnet_100,224,263.86,3.777,1,2.95,0.16,2.52
mobilenetv2_035,224,263.63,3.783,1,1.68,0.07,2.86
mobilenetv3_small_075,224,253.25,3.937,1,2.04,0.05,1.3
levit_128s,224,252.75,3.943,1,7.78,0.31,1.88
mobilenetv3_small_100,224,249.8,3.991,1,2.54,0.06,1.42
mobilenetv1_100,224,248.33,4.013,1,4.23,0.58,5.04
mobilenetv4_conv_small,224,246.85,4.038,1,3.77,0.19,1.97
regnetx_002,224,246.41,4.047,1,2.68,0.2,2.16
tf_mobilenetv3_small_100,224,242.79,4.106,1,2.54,0.06,1.42
tf_mobilenetv3_small_075,224,239.83,4.157,1,2.04,0.05,1.3
mobilenetv2_050,224,237.22,4.205,1,1.97,0.1,3.64
mobilenetv1_125,224,236.41,4.215,1,6.27,0.89,6.3
mobilenetv1_100h,224,232.23,4.292,1,5.28,0.63,5.09
mnasnet_050,224,220.94,4.515,1,2.22,0.11,3.07
resnet18,160,218.15,4.568,1,11.69,0.93,1.27
ese_vovnet19b_slim,224,217.47,4.584,1,3.17,1.69,3.52
mobilenetv4_conv_small,256,215.85,4.62,1,3.77,0.25,2.57
efficientvit_b0,224,210.08,4.748,1,3.41,0.1,2.87
mobilenetv1_125,256,206.54,4.827,1,6.27,1.16,8.23
mnasnet_small,224,204.46,4.879,1,2.03,0.07,2.16
tinynet_d,152,200.46,4.976,1,2.34,0.05,1.42
mobilenetv2_075,224,198.9,5.015,1,2.64,0.22,5.86
mobilenetv1_100h,256,196.41,5.077,1,5.28,0.82,6.65
mnasnet_075,224,196.4,5.078,1,3.17,0.23,4.77
levit_conv_128s,224,195.14,5.111,1,7.78,0.31,1.88
mobilenetv1_100,256,193.77,5.146,1,4.23,0.76,6.59
hardcorenas_a,224,192.83,5.172,1,5.26,0.23,4.38
mobilenetv3_large_075,224,190.56,5.234,1,3.99,0.16,4.0
levit_192,224,190.44,5.237,1,10.95,0.66,3.2
ese_vovnet19b_slim_dw,224,190.32,5.24,1,1.9,0.4,5.28
levit_128,224,188.71,5.285,1,9.21,0.41,2.71
mobilenetv2_100,224,188.22,5.299,1,3.5,0.31,6.68
mnasnet_100,224,184.21,5.415,1,4.38,0.33,5.46
pit_ti_distilled_224,224,182.36,5.47,1,5.1,0.71,6.23
deit_tiny_patch16_224,224,181.9,5.484,1,5.72,1.26,5.97
vit_tiny_patch16_224,224,181.68,5.49,1,5.72,1.26,5.97
semnasnet_050,224,181.4,5.5,1,2.08,0.11,3.44
efficientnet_lite0,224,181.39,5.499,1,4.65,0.4,6.74
gernet_s,224,180.68,5.52,1,8.17,0.75,2.65
vit_tiny_r_s16_p8_224,224,180.34,5.53,1,6.34,0.44,2.06
resnet10t,224,179.52,5.555,1,5.44,1.1,2.43
deit_tiny_distilled_patch16_224,224,178.78,5.579,1,5.91,1.27,6.01
hgnetv2_b0,224,178.19,5.598,1,6.0,0.33,2.12
mobilenet_edgetpu_v2_xs,224,176.26,5.66,1,4.46,0.7,4.8
mobilenetv3_large_100,224,176.25,5.659,1,5.48,0.23,4.41
mobilenetv3_rw,224,175.76,5.676,1,5.48,0.23,4.41
tf_mobilenetv3_large_minimal_100,224,174.07,5.73,1,3.92,0.22,4.4
mixer_s32_224,224,170.9,5.836,1,19.1,1.0,2.28
cs3darknet_focus_s,256,167.84,5.944,1,3.27,0.69,2.7
pit_ti_224,224,167.47,5.957,1,4.85,0.7,6.19
mobilenetv2_140,224,163.23,6.112,1,6.11,0.6,9.57
mobilenet_edgetpu_100,224,160.55,6.215,1,4.09,1.0,5.75
tf_mobilenetv3_large_075,224,159.49,6.256,1,3.99,0.16,4.0
cs3darknet_s,256,158.87,6.28,1,3.28,0.72,2.97
hardcorenas_b,224,158.23,6.306,1,5.18,0.26,5.09
vit_small_patch32_224,224,158.12,6.31,1,22.88,1.15,2.5
ese_vovnet19b_dw,224,157.95,6.316,1,6.54,1.34,8.25
regnety_002,224,157.24,6.345,1,3.16,0.2,2.17
edgenext_xx_small,256,156.86,6.364,1,1.33,0.26,3.33
dla46_c,224,155.31,6.425,1,1.3,0.58,4.5
resnet14t,176,155.29,6.425,1,10.08,1.07,3.61
hardcorenas_c,224,153.28,6.51,1,5.52,0.28,5.01
regnetx_004_tv,224,150.43,6.634,1,5.5,0.42,3.17
dla46x_c,224,150.23,6.643,1,1.07,0.54,5.66
spnasnet_100,224,150.13,6.647,1,4.42,0.35,6.03
tf_mobilenetv3_large_100,224,149.59,6.67,1,5.48,0.23,4.41
mobilenet_edgetpu_v2_s,224,147.34,6.773,1,5.99,1.21,6.6
fbnetc_100,224,147.19,6.78,1,5.57,0.4,6.51
semnasnet_075,224,147.11,6.784,1,2.91,0.23,5.54
mnasnet_140,224,146.87,6.794,1,7.12,0.6,7.71
semnasnet_100,224,146.31,6.821,1,3.89,0.32,6.23
gmixer_12_224,224,146.18,6.826,1,12.7,2.67,7.26
gmlp_ti16_224,224,146.06,6.832,1,5.87,1.34,7.55
efficientvit_m1,224,144.48,6.91,1,2.98,0.17,1.33
tf_efficientnet_lite0,224,143.01,6.978,1,4.65,0.4,6.74
efficientnet_es,224,143.0,6.979,1,5.44,1.81,8.73
pit_xs_224,224,141.88,7.033,1,10.62,1.4,7.71
tf_efficientnet_es,224,141.88,7.034,1,5.44,1.81,8.73
efficientnet_es_pruned,224,141.73,7.041,1,5.44,1.81,8.73
resnet14t,224,141.53,7.051,1,10.08,1.69,5.8
mobilenetv2_110d,224,141.41,7.057,1,4.52,0.45,8.71
levit_conv_128,224,141.12,7.072,1,9.21,0.41,2.71
pit_xs_distilled_224,224,141.01,7.077,1,11.0,1.41,7.76
mobilevitv2_050,256,140.89,7.084,1,1.37,0.48,8.04
efficientnet_lite1,240,140.13,7.122,1,5.42,0.62,10.14
regnetx_004,224,139.23,7.169,1,5.16,0.4,3.14
levit_conv_192,224,138.83,7.189,1,10.95,0.66,3.2
levit_256,224,137.56,7.255,1,18.89,1.13,4.23
efficientvit_m2,224,137.23,7.274,1,4.19,0.2,1.47
regnetx_006,224,135.97,7.341,1,6.2,0.61,3.98
repghostnet_058,224,135.13,7.387,1,2.55,0.07,2.59
efficientvit_m0,224,135.04,7.393,1,2.35,0.08,0.91
semnasnet_140,224,134.8,7.404,1,6.11,0.6,8.87
ghostnet_050,224,134.36,7.43,1,2.59,0.05,1.77
regnetx_008,224,133.61,7.47,1,7.26,0.81,5.15
tinynet_c,184,131.97,7.564,1,2.46,0.11,2.87
ese_vovnet19b_dw,288,131.11,7.612,1,6.54,2.22,13.63
hgnetv2_b1,224,130.75,7.633,1,6.34,0.49,2.73
edgenext_xx_small,288,130.47,7.652,1,1.33,0.33,4.21
repghostnet_050,224,130.45,7.653,1,2.31,0.05,2.02
mobilenet_edgetpu_v2_m,224,129.27,7.721,1,8.46,1.85,8.15
convnext_atto,224,129.03,7.736,1,3.7,0.55,3.81
repghostnet_080,224,128.98,7.74,1,3.28,0.1,3.22
mobileone_s1,224,128.61,7.761,1,4.83,0.86,9.67
edgenext_x_small,256,126.77,7.875,1,2.34,0.54,5.93
resnet18,224,126.23,7.907,1,11.69,1.82,2.48
resnext26ts,256,126.06,7.918,1,10.3,2.43,10.52
dla60x_c,224,123.16,8.107,1,1.32,0.59,6.01
ghostnet_100,224,122.98,8.117,1,5.18,0.15,3.55
convnextv2_atto,224,122.08,8.178,1,3.71,0.55,3.81
repghostnet_100,224,122.06,8.18,1,4.07,0.15,3.98
hgnetv2_b0,288,121.94,8.186,1,6.0,0.54,3.51
efficientnet_lite2,260,120.94,8.254,1,6.09,0.89,12.9
resnet34,160,120.62,8.275,1,21.8,1.87,1.91
hardcorenas_f,224,120.04,8.317,1,8.2,0.35,5.57
convnext_atto_ols,224,119.07,8.384,1,3.7,0.58,4.11
convnext_femto_ols,224,118.75,8.407,1,5.23,0.82,4.87
resnet18d,224,118.43,8.429,1,11.71,2.06,3.29
edgenext_x_small,288,118.24,8.444,1,2.34,0.68,7.5
repghostnet_111,224,118.2,8.447,1,4.54,0.18,4.38
resnetblur18,224,117.55,8.492,1,11.69,2.34,3.39
mobilenet_edgetpu_v2_m,256,117.43,8.501,1,8.46,2.42,10.65
hardcorenas_e,224,117.2,8.518,1,8.07,0.35,5.65
vit_xsmall_patch16_clip_224,224,116.75,8.551,1,8.28,1.79,6.65
eca_resnext26ts,256,115.44,8.647,1,10.3,2.43,10.52
mobilenet_edgetpu_v2_l,224,115.23,8.663,1,10.92,2.55,9.05
regnety_008,224,115.15,8.67,1,6.26,0.81,5.25
mobilenetv2_120d,224,115.14,8.67,1,5.83,0.69,11.97
mobilenetv4_conv_medium,224,115.13,8.671,1,9.72,0.84,5.8
visformer_tiny,224,115.0,8.681,1,10.32,1.27,5.72
efficientvit_m3,224,114.86,8.693,1,6.9,0.27,1.62
mobileone_s2,224,113.76,8.776,1,7.88,1.34,11.55
tf_efficientnet_lite1,240,112.67,8.86,1,5.42,0.62,10.14
convnext_femto,224,112.57,8.869,1,5.22,0.79,4.57
mobilevitv2_075,256,112.53,8.872,1,2.87,1.05,12.06
ecaresnext50t_32x4d,224,112.38,8.883,1,15.41,2.7,10.09
resmlp_12_224,224,112.17,8.9,1,15.35,3.01,5.5
repghostnet_130,224,111.65,8.942,1,5.48,0.25,5.24
lambda_resnet26t,256,111.48,8.955,1,10.96,3.02,11.87
ecaresnext26t_32x4d,224,111.45,8.957,1,15.41,2.7,10.09
regnety_008_tv,224,111.42,8.961,1,6.43,0.84,5.42
resnext26ts,288,111.36,8.965,1,10.3,3.07,13.31
resnet18,288,111.26,8.973,1,11.69,3.01,4.11
rexnetr_100,224,110.23,9.058,1,4.88,0.43,7.72
poolformerv2_s12,224,110.08,9.069,1,11.89,1.83,5.53
hardcorenas_d,224,109.61,9.11,1,7.5,0.3,4.93
mobilenetv4_conv_medium,256,109.52,9.116,1,9.72,1.1,7.58
edgenext_small,256,109.41,9.125,1,5.59,1.26,9.07
levit_conv_256,224,109.21,9.143,1,18.89,1.13,4.23
seresnet18,224,109.21,9.142,1,11.78,1.82,2.49
tinynet_b,188,108.98,9.162,1,3.73,0.21,4.44
regnety_004,224,108.81,9.177,1,4.34,0.41,3.89
seresnext26ts,256,108.64,9.19,1,10.39,2.43,10.52
poolformer_s12,224,108.39,9.211,1,11.92,1.82,5.53
rexnet_100,224,108.28,9.221,1,4.8,0.41,7.44
resnest14d,224,107.97,9.247,1,10.61,2.76,7.33
botnet26t_256,256,107.88,9.254,1,12.49,3.32,11.98
legacy_seresnet18,224,107.78,9.264,1,11.78,1.82,2.49
ghostnet_130,224,107.61,9.278,1,7.36,0.24,4.6
eva02_tiny_patch14_224,224,107.45,9.293,1,5.5,1.7,9.14
legacy_seresnext26_32x4d,224,107.29,9.305,1,16.79,2.49,9.39
gernet_m,224,106.38,9.385,1,21.14,3.02,5.24
efficientvit_b1,256,106.12,9.409,1,9.1,0.69,9.46
convnext_atto,288,106.05,9.416,1,3.7,0.91,6.3
eca_botnext26ts_256,256,105.99,9.42,1,10.59,2.46,11.6
efficientvit_m4,224,105.66,9.45,1,8.8,0.3,1.7
rexnetr_130,224,105.52,9.462,1,7.61,0.68,9.81
hgnetv2_b2,224,105.37,9.475,1,11.22,1.15,4.12
efficientvit_b1,224,104.82,9.526,1,9.1,0.53,7.25
repghostnet_150,224,104.8,9.528,1,6.58,0.32,6.0
mixer_s16_224,224,104.38,9.565,1,18.53,3.79,5.97
fastvit_t8,256,104.04,9.598,1,4.03,0.7,8.63
resnet18d,288,104.01,9.6,1,11.71,3.41,5.43
efficientformer_l1,224,103.55,9.642,1,12.29,1.3,5.53
mobileone_s3,224,103.38,9.659,1,10.17,1.94,13.85
regnetx_016,224,103.31,9.664,1,9.19,1.62,7.93
mobilenetv4_conv_aa_medium,256,102.95,9.698,1,9.72,1.58,10.3
regnety_006,224,102.78,9.716,1,6.06,0.61,4.33
seresnext26d_32x4d,224,102.22,9.767,1,16.81,2.73,10.19
mobilenetv4_conv_blur_medium,224,101.88,9.801,1,9.72,1.22,8.58
eca_resnext26ts,288,101.54,9.834,1,10.3,3.07,13.32
efficientnet_b0,256,101.51,9.837,1,5.29,0.52,8.81
hgnet_tiny,224,101.32,9.854,1,14.74,4.54,6.36
seresnext26t_32x4d,224,100.84,9.901,1,16.81,2.7,10.09
pit_s_224,224,100.54,9.931,1,23.46,2.88,11.56
resnet26,224,100.47,9.938,1,16.0,2.36,7.35
tf_efficientnet_lite2,260,100.42,9.943,1,6.09,0.89,12.9
efficientnet_b0,224,100.41,9.945,1,5.29,0.4,6.75
halonet26t,256,100.03,9.982,1,12.48,3.19,11.69
resnetblur18,288,99.96,9.989,1,11.69,3.87,5.6
repvgg_a0,224,99.9,9.995,1,9.11,1.52,3.59
vit_medium_patch32_clip_224,224,99.8,10.005,1,39.69,2.0,3.34
mobilevit_xxs,256,99.69,10.017,1,1.27,0.42,8.34
convnext_femto,288,99.64,10.021,1,5.22,1.3,7.56
convnext_femto_ols,288,99.29,10.057,1,5.23,1.35,8.06
efficientnet_em,240,99.13,10.073,1,6.9,3.04,14.34
rexnetr_150,224,98.92,10.095,1,9.78,0.89,11.13
mobilenetv4_conv_medium,320,98.53,10.135,1,9.72,1.71,11.84
seresnet18,288,98.53,10.135,1,11.78,3.01,4.11
hgnetv2_b1,288,98.34,10.154,1,6.34,0.82,4.51
edgenext_small_rw,256,98.33,10.155,1,7.83,1.58,9.51
eca_halonext26ts,256,98.17,10.172,1,10.76,2.44,11.46
tf_efficientnetv2_b0,192,97.93,10.197,1,7.14,0.54,3.51
rexnet_130,224,97.92,10.198,1,7.56,0.68,9.71
lambda_resnet26rpt_256,256,97.62,10.229,1,10.99,3.16,11.87
levit_256d,224,97.59,10.232,1,26.21,1.4,4.93
tf_efficientnet_em,240,97.41,10.252,1,6.9,3.04,14.34
vit_tiny_r_s16_p8_384,384,96.81,10.314,1,6.36,1.34,6.49
efficientvit_b1,288,96.74,10.323,1,9.1,0.87,11.96
rexnet_150,224,96.5,10.348,1,9.73,0.9,11.21
gcresnext26ts,256,96.09,10.392,1,10.48,2.43,10.53
resnet26d,224,96.02,10.399,1,16.01,2.6,8.15
convnext_pico,224,95.9,10.413,1,9.05,1.37,6.1
mobilenetv4_conv_blur_medium,256,95.82,10.421,1,9.72,1.59,11.2
repghostnet_200,224,95.57,10.449,1,9.8,0.54,7.96
vit_wee_patch16_reg1_gap_256,256,95.45,10.462,1,13.42,3.83,13.9
convit_tiny,224,95.05,10.506,1,5.71,1.26,7.94
xcit_nano_12_p16_224,224,94.66,10.551,1,3.05,0.56,4.17
seresnext26ts,288,94.65,10.55,1,10.39,3.07,13.32
tinynet_a,192,94.03,10.62,1,6.19,0.35,5.41
mobilevitv2_100,256,93.64,10.665,1,4.9,1.84,16.08
pit_s_distilled_224,224,93.54,10.676,1,24.04,2.9,11.64
pvt_v2_b0,224,93.24,10.71,1,3.67,0.57,7.99
mobilenetv3_large_150d,224,92.84,10.756,1,14.62,,
convnextv2_atto,288,92.51,10.795,1,3.71,0.91,6.3
efficientnet_lite3,300,92.29,10.82,1,8.2,1.65,21.85
convnext_pico_ols,224,91.85,10.873,1,9.06,1.43,6.5
efficientnet_b0_g16_evos,224,91.32,10.937,1,8.11,1.01,7.42
cs3darknet_focus_m,288,90.7,11.01,1,9.3,2.51,6.19
resnext50_32x4d,160,90.34,11.055,1,25.03,2.17,7.35
convnext_atto_ols,288,89.86,11.114,1,3.7,0.96,6.8
cs3darknet_m,256,89.72,11.13,1,9.31,2.08,5.28
levit_384,224,89.69,11.134,1,39.13,2.36,6.26
mobilenetv4_hybrid_medium_075,224,89.67,11.138,1,7.31,0.66,5.65
cs3darknet_focus_m,256,89.19,11.197,1,9.3,1.98,4.89
efficientformerv2_s0,224,89.05,11.216,1,3.6,0.41,5.3
convnextv2_femto,224,88.91,11.232,1,5.23,0.79,4.57
resnext50_32x4d,176,88.9,11.233,1,25.03,2.71,8.97
tf_efficientnetv2_b0,224,88.9,11.234,1,7.14,0.73,4.77
efficientnet_cc_b0_4e,224,88.85,11.24,1,13.31,0.41,9.42
resnet26t,256,88.38,11.3,1,16.01,3.35,10.52
tf_efficientnet_b0,224,88.14,11.33,1,5.29,0.4,6.75
fastvit_t12,256,88.12,11.333,1,7.55,1.42,12.42
edgenext_small,320,88.04,11.343,1,5.59,1.97,14.16
dla34,224,87.87,11.366,1,15.74,3.07,5.02
cs3darknet_m,288,87.77,11.378,1,9.31,2.63,6.69
resnet26,288,87.72,11.384,1,16.0,3.9,12.15
efficientvit_m5,224,87.3,11.441,1,12.47,0.53,2.41
vit_tiny_patch16_384,384,87.07,11.47,1,5.79,4.7,25.39
skresnet18,224,87.06,11.471,1,11.96,1.82,3.24
gcresnext26ts,288,86.9,11.493,1,10.48,3.07,13.33
hgnetv2_b2,288,86.5,11.546,1,11.22,1.89,6.8
mobilevitv2_125,256,85.3,11.709,1,7.48,2.86,20.1
repvgg_a1,224,85.15,11.728,1,14.09,2.64,4.74
rexnetr_200,224,84.71,11.79,1,16.52,1.59,15.11
hgnetv2_b3,224,84.48,11.822,1,16.29,1.78,5.07
darknet17,256,84.06,11.881,1,14.3,3.26,7.18
vit_betwixt_patch32_clip_224,224,83.79,11.919,1,61.41,3.09,4.17
efficientnet_blur_b0,224,83.71,11.932,1,5.29,0.43,8.72
resnet33ts,256,83.15,12.01,1,19.68,4.76,11.66
resnet26d,288,82.94,12.042,1,16.01,4.29,13.48
efficientnet_cc_b0_8e,224,82.88,12.051,1,24.01,0.42,9.42
rexnet_200,224,82.7,12.077,1,16.37,1.56,14.91
crossvit_tiny_240,240,82.5,12.107,1,7.01,1.57,9.08
seresnext26t_32x4d,288,82.5,12.105,1,16.81,4.46,16.68
vit_pwee_patch16_reg1_gap_256,256,82.09,12.167,1,15.25,4.37,15.87
fastvit_s12,256,81.63,12.236,1,9.47,1.82,13.67
vit_small_patch32_384,384,81.63,12.236,1,22.92,3.45,8.25
edgenext_small_rw,320,81.46,12.261,1,7.83,2.46,14.85
ecaresnet26t,256,81.44,12.263,1,16.01,3.35,10.53
crossvit_9_240,240,81.43,12.267,1,8.55,1.85,9.52
mobilevit_xs,256,80.96,12.337,1,2.32,1.05,16.33
mobilenetv4_hybrid_medium,224,80.75,12.369,1,11.07,0.98,6.84
resnet34,224,80.61,12.391,1,21.8,3.67,3.74
regnetx_032,224,80.6,12.392,1,15.3,3.2,11.37
xcit_tiny_12_p16_224,224,80.35,12.432,1,6.72,1.24,6.29
mobilenetv4_hybrid_medium,256,79.87,12.506,1,11.07,1.29,9.01
tf_efficientnetv2_b2,208,79.66,12.539,1,10.1,1.06,6.0
tf_efficientnet_cc_b0_4e,224,79.65,12.541,1,13.31,0.41,9.42
gmixer_24_224,224,79.39,12.581,1,24.72,5.28,14.45
eca_resnet33ts,256,79.24,12.604,1,19.68,4.76,11.66
xcit_nano_12_p16_384,384,79.2,12.612,1,3.05,1.64,12.15
mobileone_s4,224,79.16,12.618,1,14.95,3.04,17.74
levit_conv_256d,224,79.12,12.625,1,26.21,1.4,4.93
dla60x,224,78.71,12.691,1,17.35,3.54,13.8
resnet32ts,288,78.66,12.697,1,17.96,5.86,14.65
fastvit_sa12,256,78.18,12.776,1,11.58,1.96,14.03
resnet34d,224,78.17,12.777,1,21.82,3.91,4.54
regnetz_005,224,78.07,12.795,1,7.12,0.52,5.86
tf_efficientnetv2_b1,192,77.79,12.842,1,8.14,0.76,4.59
crossvit_9_dagger_240,240,77.65,12.864,1,8.78,1.99,9.97
resnest26d,224,77.61,12.869,1,17.07,3.64,9.97
vit_srelpos_small_patch16_224,224,77.26,12.928,1,21.97,4.59,12.16
resnet50,160,77.2,12.938,1,25.56,2.1,5.67
seresnext26d_32x4d,288,77.0,12.973,1,16.81,4.51,16.85
resnext50_32x4d,224,76.91,12.987,1,25.03,4.26,14.4
ecaresnet50d_pruned,224,76.62,13.036,1,19.94,2.53,6.43
vit_small_patch16_224,224,76.49,13.058,1,22.05,4.61,11.95
deit3_small_patch16_224,224,76.48,13.06,1,22.06,4.61,11.95
deit_small_patch16_224,224,76.41,13.072,1,22.05,4.61,11.95
tf_efficientnetv2_b1,240,76.41,13.073,1,8.14,1.21,7.34
deit_small_distilled_patch16_224,224,76.14,13.119,1,22.44,4.63,12.02
convnextv2_pico,224,76.02,13.14,1,9.07,1.37,6.1
resnet26t,320,75.79,13.179,1,16.01,5.24,16.44
coat_lite_mini,224,75.62,13.208,1,11.01,2.0,12.25
nf_regnet_b0,192,75.34,13.258,1,8.76,0.37,3.15
resnetaa34d,224,75.18,13.287,1,21.82,4.43,5.07
xcit_nano_12_p8_224,224,75.15,13.293,1,3.05,2.16,15.71
resnet50d,160,75.14,13.293,1,25.58,2.22,6.08
tf_efficientnet_cc_b0_8e,224,74.92,13.333,1,24.01,0.42,9.42
resnext50d_32x4d,224,74.78,13.358,1,25.05,4.5,15.2
resnet50,176,74.75,13.362,1,25.56,2.62,6.92
fbnetv3_b,224,74.72,13.368,1,8.6,0.42,6.97
resnet33ts,288,74.42,13.421,1,19.68,6.02,14.75
tiny_vit_5m_224,224,74.28,13.448,1,12.08,1.28,11.25
mixer_b32_224,224,74.14,13.472,1,60.29,3.24,6.29
vit_little_patch16_reg1_gap_256,256,74.1,13.481,1,22.52,6.27,18.06
gernet_l,256,74.0,13.498,1,31.08,4.57,8.0
dpn48b,224,73.68,13.557,1,9.13,1.69,8.92
hgnet_tiny,288,73.65,13.563,1,14.74,7.51,10.51
efficientnet_b1_pruned,240,73.55,13.583,1,6.33,0.4,6.21
vit_little_patch16_reg4_gap_256,256,73.51,13.589,1,22.52,6.35,18.33
efficientnet_b1,240,73.32,13.625,1,7.79,0.71,10.88
cspresnext50,256,73.13,13.66,1,20.57,4.05,15.86
vovnet39a,224,73.1,13.665,1,22.6,7.09,6.73
gmlp_s16_224,224,73.08,13.668,1,19.42,4.42,15.1
mobilevitv2_150,256,72.89,13.705,1,10.59,4.09,24.11
regnetz_b16,224,72.69,13.743,1,9.72,1.45,9.95
edgenext_base,256,72.61,13.756,1,18.51,3.85,15.58
resnet32ts,256,72.54,13.77,1,17.96,4.63,11.58
coat_lite_tiny,224,72.5,13.777,1,5.72,1.6,11.65
regnetz_005,288,72.4,13.799,1,7.12,0.86,9.68
repvgg_b0,224,72.16,13.843,1,15.82,3.41,6.15
hgnetv2_b4,224,71.76,13.92,1,19.8,2.75,6.7
dla60,224,71.69,13.933,1,22.04,4.26,10.16
efficientnet_b1,224,71.49,13.974,1,7.79,0.59,9.36
levit_conv_384,224,70.82,14.105,1,39.13,2.36,6.26
efficientnet_b1,256,70.76,14.119,1,7.79,0.77,12.22
regnetx_040,224,70.59,14.151,1,22.12,3.99,12.2
tf_efficientnet_lite3,300,70.56,14.156,1,8.2,1.65,21.85
eca_vovnet39b,224,70.47,14.174,1,22.6,7.09,6.74
efficientnet_b2_pruned,260,70.35,14.199,1,8.31,0.73,9.13
tf_efficientnetv2_b2,260,70.25,14.221,1,10.1,1.72,9.84
hgnetv2_b3,288,70.06,14.259,1,16.29,2.94,8.38
fbnetv3_d,224,70.0,14.271,1,10.31,0.52,8.5
convnext_nano_ols,224,69.98,14.274,1,15.65,2.65,9.38
fbnetv3_b,256,69.83,14.307,1,8.6,0.55,9.1
repvit_m0_9,224,69.8,14.313,1,5.49,0.83,7.45
efficientformerv2_s1,224,69.57,14.36,1,6.19,0.67,7.66
darknet21,256,69.5,14.374,1,20.86,3.93,7.47
ese_vovnet39b,224,69.4,14.394,1,24.57,7.09,6.74
eca_resnet33ts,288,69.39,14.395,1,19.68,6.02,14.76
nf_regnet_b0,256,69.34,14.407,1,8.76,0.64,5.58
ecaresnet50t,160,69.28,14.419,1,25.57,2.21,6.04
repvit_m1,224,69.18,14.442,1,5.49,0.83,7.45
rexnetr_200,288,69.08,14.46,1,16.52,2.62,24.96
res2net50_48w_2s,224,69.0,14.478,1,25.29,4.18,11.72
resnet34,288,68.86,14.507,1,21.8,6.07,6.18
flexivit_small,240,68.81,14.517,1,22.06,5.35,14.18
legacy_seresnet34,224,68.78,14.524,1,21.96,3.67,3.74
convnext_tiny,224,68.68,14.544,1,28.59,4.47,13.44
ecaresnet26t,320,68.52,14.579,1,16.01,5.24,16.44
regnetz_b16_evos,224,68.42,14.6,1,9.74,1.43,9.95
repvit_m1_1,224,68.38,14.61,1,8.8,1.36,9.43
efficientnet_b2,256,68.17,14.655,1,9.11,0.89,12.81
efficientvit_b2,224,68.17,14.655,1,24.33,1.6,14.62
repvit_m2,224,67.69,14.76,1,8.8,1.36,9.43
seresnet34,224,67.32,14.839,1,21.96,3.67,3.74
resnet50,224,67.2,14.865,1,25.56,4.11,11.11
vit_relpos_small_patch16_rpn_224,224,67.18,14.869,1,21.97,4.59,13.05
convnextv2_femto,288,66.86,14.941,1,5.23,1.3,7.56
resnet34d,288,66.79,14.958,1,21.82,6.47,7.51
gcresnet33ts,256,66.39,15.047,1,19.88,4.76,11.68
tf_efficientnet_b1,240,66.1,15.114,1,7.79,0.71,10.88
fbnetv3_d,256,66.05,15.125,1,10.31,0.68,11.1
xcit_tiny_12_p16_384,384,65.58,15.233,1,6.72,3.64,18.26
vit_relpos_small_patch16_224,224,65.51,15.25,1,21.98,4.59,13.05
resnet50c,224,65.48,15.257,1,25.58,4.35,11.92
dpn68,224,65.46,15.261,1,12.61,2.35,10.47
ecaresnet50d_pruned,288,65.44,15.265,1,19.94,4.19,10.61
efficientnet_b1,288,65.21,15.322,1,7.79,0.97,15.46
repvit_m1_0,224,65.07,15.356,1,7.3,1.13,8.69
twins_pcpvt_small,224,65.06,15.355,1,24.11,3.83,18.08
mobilenetv4_hybrid_medium,320,65.04,15.36,1,11.07,2.05,14.36
sedarknet21,256,64.98,15.373,1,20.95,3.93,7.47
resnet50d,224,64.83,15.41,1,25.58,4.35,11.92
resnetaa34d,288,64.72,15.435,1,21.82,7.33,8.38
hiera_tiny_224,224,64.52,15.483,1,27.91,4.91,17.13
poolformerv2_s24,224,64.33,15.529,1,21.34,3.42,10.68
dpn68b,224,64.26,15.545,1,12.61,2.35,10.47
ghostnetv2_100,224,64.11,15.585,1,6.16,0.18,4.55
resnet50t,224,63.72,15.678,1,25.57,4.32,11.82
resnetv2_50,224,63.72,15.68,1,25.55,4.11,11.11
ghostnetv2_130,224,63.65,15.697,1,8.96,0.28,5.9
resnetaa50,224,63.65,15.694,1,25.56,5.15,11.64
seresnet50,160,63.58,15.713,1,28.09,2.1,5.69
regnetz_b16,288,63.55,15.72,1,9.72,2.39,16.43
convmixer_1024_20_ks9_p14,224,63.5,15.734,1,24.38,5.55,5.51
efficientnet_b2,288,63.48,15.739,1,9.11,1.12,16.2
resnext50_32x4d,288,63.36,15.767,1,25.03,7.04,23.81
coatnet_pico_rw_224,224,63.31,15.781,1,10.85,2.05,14.62
regnetx_064,224,63.21,15.805,1,26.21,6.49,16.37
regnety_016,224,62.98,15.864,1,11.2,1.63,8.04
poolformer_s24,224,62.88,15.889,1,21.39,3.41,10.68
rexnetr_300,224,62.86,15.891,1,34.81,3.39,22.16
nf_resnet26,224,62.76,15.919,1,16.0,2.41,7.35
sam2_hiera_tiny,224,62.71,15.931,1,26.85,4.91,17.12
hgnet_small,224,62.6,15.958,1,24.36,8.53,8.79
mobilevitv2_175,256,62.59,15.963,1,14.25,5.54,28.13
efficientvit_b2,288,62.24,16.05,1,24.33,2.64,24.03
seresnext50_32x4d,224,62.23,16.053,1,27.56,4.26,14.42
resnext50d_32x4d,288,62.18,16.068,1,25.05,7.44,25.13
convnext_nano,224,62.15,16.076,1,15.59,2.46,8.37
regnety_032,224,61.92,16.135,1,19.44,3.2,11.26
resnet50_clip_gap,224,61.9,16.138,1,23.53,5.39,12.44
resnetaa50d,224,61.9,16.139,1,25.58,5.39,12.44
resnetv2_50d,224,61.83,16.157,1,25.57,4.35,11.92
resnetblur50,224,61.61,16.216,1,25.56,5.16,12.02
tiny_vit_11m_224,224,61.55,16.233,1,20.35,2.04,13.49
resnet50s,224,61.42,16.265,1,25.68,5.47,13.52
visformer_small,224,61.4,16.271,1,40.22,4.88,11.43
gcresnet33ts,288,61.33,16.29,1,19.88,6.02,14.78
convnextv2_tiny,224,61.3,16.298,1,28.64,4.47,13.44
regnetz_c16,256,61.07,16.36,1,13.46,2.51,16.57
cs3darknet_l,256,61.04,16.366,1,21.16,4.86,8.55
tf_efficientnetv2_b3,240,61.03,16.372,1,14.36,1.93,9.95
resnet51q,256,61.0,16.378,1,35.7,6.38,16.55
legacy_seresnext50_32x4d,224,60.86,16.415,1,27.56,4.26,14.42
vit_base_patch32_224,224,60.58,16.492,1,88.22,4.41,5.01
resnetv2_50t,224,60.55,16.501,1,25.57,4.32,11.82
mobilevit_s,256,60.52,16.509,1,5.58,2.03,19.94
xcit_tiny_12_p8_224,224,60.28,16.576,1,6.71,4.81,23.6
efficientvit_b2,256,60.14,16.612,1,24.33,2.09,19.03
resnetrs50,160,60.13,16.615,1,35.69,2.29,6.2
tf_efficientnet_b2,260,60.06,16.636,1,9.11,1.02,13.83
hgnetv2_b4,288,59.96,16.662,1,19.8,4.54,11.08
twins_svt_small,224,59.94,16.668,1,24.06,2.94,13.75
efficientnet_el_pruned,300,59.77,16.716,1,10.59,8.0,30.7
seresnet34,288,59.66,16.747,1,21.96,6.07,6.18
vit_base_patch32_clip_quickgelu_224,224,59.58,16.77,1,87.85,4.41,5.01
efficientnet_cc_b1_8e,240,59.51,16.79,1,39.72,0.75,15.44
hrnet_w18_small,224,59.47,16.799,1,13.19,1.61,5.72
efficientformer_l3,224,59.4,16.82,1,31.41,3.93,12.01
tf_mixnet_s,224,59.38,16.826,1,4.13,0.25,6.25
efficientnet_el,300,59.35,16.834,1,10.59,8.0,30.7
ecaresnetlight,224,59.32,16.843,1,30.16,4.11,8.42
rexnet_300,224,59.29,16.85,1,34.71,3.44,22.4
volo_d1_224,224,59.28,16.853,1,26.63,6.94,24.43
resnetblur50d,224,59.19,16.88,1,25.58,5.4,12.82
vit_base_patch32_clip_224,224,59.16,16.887,1,88.22,4.41,5.01
tf_efficientnet_el,300,59.06,16.916,1,10.59,8.0,30.7
seresnet33ts,256,59.02,16.928,1,19.78,4.76,11.66
efficientnet_lite4,380,59.0,16.933,1,13.01,4.04,45.66
ecaresnet50t,224,58.9,16.963,1,25.57,4.32,11.83
resmlp_24_224,224,58.64,17.039,1,30.02,5.96,10.91
ghostnetv2_160,224,58.59,17.053,1,12.39,0.42,7.23
nf_ecaresnet26,224,58.55,17.063,1,16.0,2.41,7.36
ecaresnet50d,224,58.5,17.08,1,25.58,4.35,11.93
mobilenetv4_conv_large,256,58.28,17.144,1,32.59,2.86,12.14
mixnet_s,224,58.26,17.15,1,4.13,0.25,6.25
mobilenetv4_hybrid_medium,384,57.89,17.259,1,11.07,3.01,21.18
maxvit_pico_rw_256,256,57.53,17.368,1,7.46,1.83,22.3
eva02_tiny_patch14_336,336,57.45,17.391,1,5.76,4.68,27.16
resnetv2_50d_frn,224,57.35,17.421,1,25.59,4.33,11.92
cs3darknet_focus_l,256,57.29,17.438,1,21.15,4.66,8.03
repvgg_a2,224,57.04,17.514,1,28.21,5.7,6.26
regnety_040,224,56.92,17.552,1,20.65,4.0,12.29
edgenext_base,320,56.81,17.588,1,18.51,6.01,24.32
convit_small,224,56.77,17.601,1,27.78,5.76,17.87
crossvit_15_240,240,56.47,17.694,1,27.53,5.81,19.77
gcresnext50ts,256,56.33,17.737,1,15.67,3.75,15.46
nf_seresnet26,224,56.21,17.774,1,17.4,2.41,7.36
nf_regnet_b1,256,56.15,17.796,1,10.22,0.82,7.27
legacy_seresnet50,224,55.97,17.851,1,28.09,3.88,10.6
dpn68b,288,55.95,17.857,1,12.61,3.89,17.3
inception_next_tiny,224,55.95,17.858,1,28.06,4.19,11.98
resnet50,288,55.91,17.869,1,25.56,6.8,18.37
efficientnet_b3_pruned,300,55.81,17.904,1,9.86,1.04,11.86
cait_xxs24_224,224,55.71,17.936,1,11.96,2.53,20.29
hiera_small_224,224,55.7,17.938,1,35.01,6.42,20.75
lambda_resnet50ts,256,55.57,17.981,1,21.54,5.07,17.48
tf_efficientnet_lite4,380,55.5,18.002,1,13.01,4.04,45.66
resnet50d,288,55.43,18.027,1,25.58,7.19,19.7
haloregnetz_b,224,55.38,18.043,1,11.68,1.97,11.94
resnet50_mlp,256,55.38,18.042,1,26.65,7.05,16.25
fbnetv3_g,240,55.16,18.115,1,16.62,1.28,14.87
vit_base_patch32_clip_256,256,54.94,18.186,1,87.86,5.76,6.65
seresnet33ts,288,54.78,18.24,1,19.78,6.02,14.76
resnet50t,288,54.68,18.272,1,25.57,7.14,19.53
resnet51q,288,54.6,18.301,1,35.7,8.07,20.94
sehalonet33ts,256,54.54,18.322,1,13.69,3.55,14.7
caformer_s18,224,54.34,18.388,1,26.34,4.13,19.39
ecaresnet50t,256,54.3,18.402,1,25.57,5.64,15.45
regnetv_040,224,54.21,18.43,1,20.64,4.0,12.29
seresnet50,224,54.16,18.45,1,28.09,4.11,11.13
swin_s3_tiny_224,224,54.08,18.477,1,28.33,4.64,19.13
tnt_s_patch16_224,224,53.96,18.516,1,23.76,5.24,24.37
nf_regnet_b1,288,53.92,18.531,1,10.22,1.02,9.2
tf_efficientnet_cc_b1_8e,240,53.91,18.536,1,39.72,0.75,15.44
efficientnetv2_rw_t,224,53.9,18.539,1,13.65,1.93,9.94
vit_srelpos_medium_patch16_224,224,53.78,18.578,1,38.74,7.96,16.21
deit3_medium_patch16_224,224,53.65,18.623,1,38.85,8.0,15.93
vit_small_resnet26d_224,224,53.52,18.668,1,63.61,5.07,11.12
nest_tiny,224,53.5,18.675,1,17.06,5.83,25.48
xcit_small_12_p16_224,224,53.49,18.68,1,26.25,4.82,12.58
cs3darknet_l,288,53.41,18.707,1,21.16,6.16,10.83
crossvit_15_dagger_240,240,53.29,18.75,1,28.21,6.13,20.43
seresnet50t,224,53.29,18.749,1,28.1,4.32,11.83
regnetz_b16_evos,288,53.13,18.805,1,9.74,2.36,16.43
mobilenetv4_conv_large,320,52.96,18.867,1,32.59,4.47,18.97
pvt_v2_b2_li,224,52.85,18.908,1,22.55,3.91,27.6
skresnet50,224,52.83,18.915,1,25.8,4.11,12.5
mobilevitv2_200,256,52.49,19.037,1,18.45,7.22,32.15
resnetaa50,288,52.3,19.104,1,25.56,8.52,19.24
ese_vovnet39b,288,52.13,19.169,1,24.57,11.71,11.13
efficientnet_b3,288,51.98,19.224,1,12.23,1.63,21.49
resnet50_clip,224,51.98,19.223,1,38.32,6.14,12.98
tf_efficientnetv2_b3,300,51.94,19.237,1,14.36,3.04,15.74
resnet61q,256,51.91,19.248,1,36.85,7.8,17.01
coatnet_bn_0_rw_224,224,51.84,19.274,1,27.44,4.67,22.04
crossvit_small_240,240,51.78,19.299,1,26.86,5.63,18.17
cs3darknet_focus_l,288,51.73,19.315,1,21.15,5.9,10.16
regnety_032,288,51.72,19.319,1,19.44,5.29,18.61
skresnet50d,224,51.66,19.343,1,25.82,4.36,13.31
resnetrs50,224,51.65,19.346,1,35.69,4.48,12.14
nest_tiny_jx,224,51.64,19.349,1,17.06,5.83,25.48
regnetz_c16,320,51.62,19.359,1,13.46,3.92,25.88
mobilenetv4_hybrid_medium,448,51.57,19.376,1,11.07,4.2,29.64
vovnet57a,224,51.53,19.39,1,36.64,8.95,7.52
seresnetaa50d,224,51.35,19.459,1,28.11,5.4,12.46
gcresnext50ts,288,51.14,19.538,1,15.67,4.75,19.57
resnetblur50,288,51.1,19.555,1,25.56,8.52,19.87
convnext_pico,288,51.06,19.57,1,9.05,2.27,10.08
regnetz_c16_evos,256,51.06,19.57,1,13.49,2.48,16.57
res2net50_26w_4s,224,50.93,19.621,1,25.7,4.28,12.61
dla102x,224,50.88,19.637,1,26.31,5.89,19.42
nf_regnet_b2,240,50.85,19.653,1,14.31,0.97,7.23
convnextv2_nano,224,50.84,19.655,1,15.62,2.46,8.37
tiny_vit_21m_224,224,50.8,19.67,1,33.22,4.29,20.08
resnetaa50d,288,50.77,19.683,1,25.58,8.92,20.57
nf_regnet_b2,272,50.75,19.691,1,14.31,1.22,9.27
skresnet34,224,50.69,19.712,1,22.28,3.67,5.13
eva02_small_patch14_224,224,50.62,19.74,1,21.62,6.14,18.28
pvt_v2_b1,224,50.59,19.752,1,14.01,2.12,15.39
mobilenetv4_hybrid_large_075,256,50.54,19.772,1,22.75,2.06,11.64
vit_relpos_base_patch32_plus_rpn_256,256,50.44,19.809,1,119.42,7.68,8.01
fbnetv3_g,288,50.35,19.845,1,16.62,1.77,21.09
dla60_res2next,224,50.32,19.857,1,17.03,3.49,13.17
convnext_pico_ols,288,50.27,19.879,1,9.06,2.37,10.74
sebotnet33ts_256,256,50.06,19.961,1,13.7,3.89,17.46
res2net50d,224,50.05,19.963,1,25.72,4.52,13.41
ese_vovnet57b,224,49.97,19.996,1,38.61,8.95,7.52
ecaresnetlight,288,49.96,20.0,1,30.16,6.79,13.91
fastvit_mci0,256,49.92,20.017,1,11.41,2.42,18.29
vit_relpos_medium_patch16_rpn_224,224,49.84,20.05,1,38.73,7.97,17.02
regnetx_080,224,49.83,20.051,1,39.57,8.02,14.06
maxvit_rmlp_pico_rw_256,256,49.77,20.08,1,7.52,1.85,24.86
seresnext50_32x4d,288,49.63,20.133,1,27.56,7.04,23.82
resnest50d,224,49.59,20.15,1,27.48,5.4,14.36
dla60_res2net,224,49.54,20.171,1,20.85,4.15,12.34
skresnext50_32x4d,224,49.52,20.179,1,27.48,4.5,17.18
regnety_040,288,49.44,20.21,1,20.65,6.61,20.3
convnext_tiny,288,49.43,20.215,1,28.59,7.39,22.21
nextvit_small,224,49.39,20.232,1,31.76,5.81,18.44
repvit_m3,224,49.37,20.243,1,10.68,1.89,13.94
vit_medium_patch16_gap_240,240,49.3,20.268,1,44.4,9.22,18.81
coatnet_nano_cc_224,224,49.22,20.303,1,13.76,2.24,15.02
res2next50,224,49.07,20.363,1,24.67,4.2,13.71
vit_base_patch32_plus_256,256,49.04,20.376,1,119.48,7.79,7.76
mobilenetv4_conv_large,384,48.88,20.443,1,32.59,6.43,27.31
resnetblur50d,288,48.87,20.447,1,25.58,8.92,21.19
ecaresnet50d,288,48.86,20.451,1,25.58,7.19,19.72
resnest50d_1s4x24d,224,48.8,20.474,1,25.68,4.43,13.57
poolformerv2_s36,224,48.68,20.527,1,30.79,5.01,15.82
vit_medium_patch16_clip_224,224,48.65,20.539,1,38.59,8.0,15.93
vit_relpos_medium_patch16_224,224,48.6,20.561,1,38.75,7.97,17.02
rexnetr_300,288,48.34,20.671,1,34.81,5.59,36.61
cs3sedarknet_l,256,48.22,20.723,1,21.91,4.86,8.56
gcvit_xxtiny,224,48.16,20.748,1,12.0,2.14,15.36
davit_tiny,224,48.09,20.778,1,28.36,4.54,18.89
lamhalobotnet50ts_256,256,48.01,20.812,1,22.57,5.02,18.44
convnext_nano_ols,288,47.75,20.929,1,15.65,4.38,15.5
convnextv2_pico,288,47.57,21.008,1,9.07,2.27,10.08
gc_efficientnetv2_rw_t,224,47.43,21.07,1,13.68,1.94,9.97
coatnet_0_rw_224,224,47.41,21.079,1,27.44,4.43,18.73
hgnet_small,288,47.4,21.08,1,24.36,14.09,14.53
regnety_040_sgn,224,47.27,21.142,1,20.65,4.03,12.29
coatnet_0_224,224,47.25,21.147,1,25.04,4.58,24.01
efficientnet_b3,320,47.25,21.147,1,12.23,2.01,26.52
regnetv_040,288,47.25,21.15,1,20.64,6.6,20.3
swinv2_cr_tiny_ns_224,224,47.24,21.152,1,28.33,4.66,28.45
resnest50d_4s2x40d,224,47.16,21.189,1,30.42,4.4,17.94
maxvit_nano_rw_256,256,47.1,21.214,1,15.45,4.46,30.28
resnetv2_50,288,47.07,21.228,1,25.55,6.79,18.37
cspresnet50d,256,46.79,21.355,1,21.64,4.86,12.55
resnet61q,288,46.75,21.373,1,36.85,9.87,21.52
swinv2_cr_tiny_224,224,46.75,21.377,1,28.33,4.66,28.45
coatnet_nano_rw_224,224,46.73,21.383,1,15.14,2.41,15.41
regnety_080_tv,224,46.7,21.397,1,39.38,8.51,19.73
cspresnet50,256,46.68,21.408,1,21.62,4.54,11.5
regnety_080,224,46.66,21.415,1,39.18,8.0,17.97
crossvit_18_240,240,46.59,21.449,1,43.27,9.05,26.26
efficientnetv2_rw_t,288,46.49,21.496,1,13.65,3.19,16.42
ecaresnet50t,288,46.37,21.552,1,25.57,7.14,19.55
resnet101,160,46.35,21.558,1,44.55,4.0,8.28
tf_efficientnet_b3,300,46.18,21.641,1,12.23,1.87,23.83
legacy_xception,299,46.16,21.647,1,22.86,8.4,35.83
mobilenetv4_conv_aa_large,384,46.14,21.66,1,32.59,7.07,32.29
swin_tiny_patch4_window7_224,224,46.12,21.667,1,28.29,4.51,17.06
coatnet_rmlp_nano_rw_224,224,45.97,21.738,1,15.15,2.62,20.34
vit_medium_patch16_gap_256,256,45.76,21.84,1,38.86,10.59,22.15
seresnet50,288,45.63,21.898,1,28.09,6.8,18.39
regnety_064,224,45.62,21.905,1,30.58,6.39,16.41
fastvit_sa24,256,45.57,21.931,1,21.55,3.8,24.32
mobileone_s0,224,45.48,21.974,1,5.29,1.09,15.48
seresnet50t,288,45.48,21.971,1,28.1,7.14,19.55
efficientvit_l1,224,45.46,21.98,1,52.65,5.27,15.85
dla102,224,45.32,22.05,1,33.27,7.19,14.18
mixer_b16_224,224,44.95,22.231,1,59.88,12.62,14.53
tresnet_m,224,44.93,22.24,1,31.39,5.75,7.31
convnext_nano,288,44.91,22.252,1,15.59,4.06,13.84
levit_512d,224,44.82,22.297,1,92.5,5.85,11.3
tf_mixnet_m,224,44.67,22.372,1,5.01,0.36,8.19
poolformer_s36,224,44.56,22.427,1,30.86,5.0,15.82
resnet101,176,44.51,22.453,1,44.55,4.92,10.08
hiera_small_abswin_256,256,44.37,22.521,1,34.36,8.29,26.38
efficientformerv2_s2,224,44.2,22.612,1,12.71,1.27,11.77
levit_512,224,44.15,22.633,1,95.17,5.64,10.22
ecaresnet50t,320,44.14,22.639,1,25.57,8.82,24.13
coatnet_rmlp_0_rw_224,224,44.13,22.643,1,27.45,4.72,24.89
regnetv_064,224,44.1,22.658,1,30.58,6.39,16.41
nf_regnet_b3,288,44.02,22.703,1,18.59,1.67,11.84
ese_vovnet39b_evos,224,43.96,22.734,1,24.58,7.07,6.74
regnetz_d8,256,43.94,22.743,1,23.37,3.97,23.74
mixnet_m,224,43.88,22.776,1,5.01,0.36,8.19
maxxvitv2_nano_rw_256,256,43.77,22.829,1,23.7,6.26,23.05
xcit_tiny_24_p16_224,224,43.51,22.97,1,12.12,2.34,11.82
inception_v3,299,43.48,22.986,1,23.83,5.73,8.97
mobilenetv4_conv_large,448,43.42,23.016,1,32.59,8.75,37.17
cs3sedarknet_l,288,43.36,23.047,1,21.91,6.16,10.83
mvitv2_tiny,224,43.15,23.162,1,24.17,4.7,21.16
mobilevitv2_150,384,43.14,23.163,1,10.59,9.2,54.25
gcresnet50t,256,43.13,23.17,1,25.9,5.42,14.67
halonet50ts,256,43.09,23.191,1,22.73,5.3,19.2
convnextv2_tiny,288,42.95,23.27,1,28.64,7.39,22.21
hieradet_small,256,42.83,23.331,1,34.72,8.51,27.76
resnext101_32x4d,224,42.71,23.4,1,44.18,8.01,21.23
darknetaa53,256,42.69,23.407,1,36.02,7.97,12.39
regnetx_120,224,42.68,23.416,1,46.11,12.13,21.37
xception41p,299,42.58,23.471,1,26.91,9.25,39.86
crossvit_18_dagger_240,240,42.54,23.491,1,44.27,9.5,27.03
densenetblur121d,224,42.38,23.584,1,8.0,3.11,7.9
cs3sedarknet_xdw,256,42.26,23.645,1,21.6,5.97,17.18
regnetz_c16_evos,320,41.93,23.833,1,13.49,3.86,25.88
maxxvit_rmlp_nano_rw_256,256,41.91,23.848,1,16.78,4.37,26.05
vit_small_r26_s32_224,224,41.84,23.884,1,36.43,3.56,9.85
nf_regnet_b3,320,41.83,23.893,1,18.59,2.05,14.61
tf_mixnet_l,224,41.77,23.924,1,7.33,0.58,10.84
xcit_nano_12_p8_384,384,41.57,24.039,1,3.05,6.34,46.08
densenet121,224,41.48,24.095,1,7.98,2.87,6.9
gc_efficientnetv2_rw_t,288,41.42,24.127,1,13.68,3.2,16.45
dpn92,224,41.37,24.158,1,37.67,6.54,18.21
coat_lite_small,224,41.08,24.326,1,19.84,3.96,22.09
efficientnetv2_s,288,41.07,24.333,1,21.46,4.75,20.13
mobilenetv4_conv_aa_large,448,40.96,24.396,1,32.59,9.63,43.94
regnetz_040,256,40.92,24.423,1,27.12,4.06,24.19
ecaresnet101d_pruned,224,40.84,24.468,1,24.88,3.48,7.69
maxvit_rmlp_nano_rw_256,256,40.78,24.507,1,15.5,4.47,31.92
regnetz_d8_evos,256,40.78,24.507,1,23.46,4.5,24.92
efficientnet_b0_gn,224,40.77,24.511,1,5.29,0.42,6.75
botnet50ts_256,256,40.7,24.554,1,22.74,5.54,22.23
seresnetaa50d,288,40.59,24.622,1,28.11,8.92,20.59
regnetz_040_h,256,40.56,24.64,1,28.94,4.12,24.29
convformer_s18,224,40.53,24.655,1,26.77,3.96,15.82
cspresnet50w,256,40.48,24.69,1,28.12,5.04,12.19
convnext_tiny_hnf,224,40.44,24.711,1,28.59,4.47,13.44
xception41,299,40.35,24.765,1,26.97,9.28,39.86
gcresnet50t,288,40.34,24.775,1,25.9,6.86,18.57
focalnet_tiny_srf,224,40.29,24.806,1,28.43,4.42,16.32
coatnext_nano_rw_224,224,40.21,24.856,1,14.7,2.47,12.8
gcvit_xtiny,224,40.09,24.927,1,19.98,2.93,20.26
efficientnet_b3_gn,288,39.94,25.025,1,11.73,1.74,23.35
mixnet_l,224,39.77,25.13,1,7.33,0.58,10.84
twins_pcpvt_base,224,39.74,25.15,1,43.83,6.68,25.25
cs3darknet_x,256,39.65,25.205,1,35.05,8.38,11.35
darknetaa53,288,39.58,25.247,1,36.02,10.08,15.68
resmlp_36_224,224,39.56,25.262,1,44.69,8.91,16.33
efficientnet_b0_g8_gn,224,39.45,25.332,1,6.56,0.66,6.75
res2net50_14w_8s,224,39.38,25.381,1,25.06,4.21,13.28
cs3darknet_focus_x,256,39.3,25.428,1,35.02,8.03,10.69
vit_base_resnet26d_224,224,39.28,25.441,1,101.4,6.97,13.16
tf_efficientnetv2_s,300,39.24,25.472,1,21.46,5.35,22.73
resnet50_gn,224,39.23,25.474,1,25.56,4.14,11.11
levit_conv_512,224,39.13,25.542,1,95.17,5.64,10.22
hrnet_w18_small_v2,224,39.05,25.592,1,15.6,2.62,9.65
hiera_base_224,224,38.8,25.755,1,51.52,9.4,30.42
regnetz_d32,256,38.77,25.776,1,27.58,5.98,23.74
repvit_m1_5,224,38.77,25.781,1,14.64,2.31,15.7
ecaresnet101d_pruned,288,38.73,25.803,1,24.88,5.75,12.71
efficientnetv2_rw_s,288,38.61,25.887,1,23.94,4.91,21.41
eca_nfnet_l0,224,38.59,25.896,1,24.14,4.35,10.47
regnety_040_sgn,288,38.56,25.92,1,20.65,6.67,20.3
convnext_tiny,384,38.48,25.972,1,28.59,13.14,39.48
darknet53,256,38.45,25.996,1,41.61,9.31,12.39
resnet101c,224,38.43,26.009,1,44.57,8.08,17.04
resnet101d,224,38.39,26.031,1,44.57,8.08,17.04
levit_conv_512d,224,38.29,26.101,1,92.5,5.85,11.3
efficientnet_b4,320,38.25,26.128,1,19.34,3.13,34.76
vit_medium_patch16_reg1_gap_256,256,38.21,26.156,1,38.88,10.63,22.26
cait_xxs36_224,224,38.09,26.236,1,17.3,3.77,30.34
resnetv2_101,224,37.98,26.313,1,44.54,7.83,16.23
resnet101,224,37.96,26.325,1,44.55,7.83,16.23
vit_medium_patch16_reg4_gap_256,256,37.91,26.362,1,38.88,10.76,22.6
mobilenetv4_conv_aa_large,480,37.86,26.401,1,32.59,11.05,50.45
vit_base_patch32_384,384,37.85,26.406,1,88.3,13.06,16.5
resnetv2_50d_gn,224,37.84,26.412,1,25.57,4.38,11.92
dla102x2,224,37.76,26.469,1,41.28,9.34,29.91
nf_ecaresnet50,224,37.64,26.55,1,25.56,4.21,11.13
resnetv2_101d,224,37.5,26.654,1,44.56,8.07,17.04
regnety_080,288,37.29,26.802,1,39.18,13.22,29.69
vit_betwixt_patch16_reg4_gap_256,256,37.28,26.811,1,60.4,16.52,28.24
xcit_tiny_24_p16_384,384,37.27,26.819,1,12.12,6.87,34.29
resnet101s,224,37.22,26.85,1,44.67,9.19,18.64
resnet101_clip_gap,224,37.2,26.866,1,42.52,9.11,17.56
vit_betwixt_patch16_reg1_gap_256,256,37.17,26.887,1,60.4,16.32,27.83
regnety_120,224,37.07,26.958,1,51.82,12.14,21.38
resnetaa101d,224,37.03,26.988,1,44.57,9.12,17.56
vit_base_patch32_clip_384,384,36.96,27.038,1,88.3,13.06,16.5
focalnet_tiny_lrf,224,36.82,27.146,1,28.65,4.49,17.76
regnety_064,288,36.7,27.234,1,30.58,10.56,27.11
resnetblur101d,224,36.7,27.233,1,44.57,9.12,17.94
swinv2_tiny_window8_256,256,36.67,27.255,1,28.35,5.96,24.57
efficientvit_b3,256,36.65,27.272,1,48.65,5.2,35.01
vit_small_resnet50d_s16_224,224,36.62,27.293,1,57.53,13.48,24.82
convnextv2_nano,288,36.54,27.35,1,15.62,4.06,13.84
hgnetv2_b5,224,36.31,27.528,1,39.57,6.56,11.19
nfnet_l0,224,36.3,27.529,1,35.07,4.36,10.47
efficientnet_b3_g8_gn,288,36.2,27.606,1,14.25,2.59,23.35
res2net50_26w_6s,224,36.18,27.623,1,37.05,6.33,15.28
efficientvit_b3,224,36.11,27.679,1,48.65,3.99,26.9
resnet50_gn,288,36.07,27.705,1,25.56,6.85,18.37
mobilevitv2_175,384,36.06,27.718,1,14.25,12.47,63.29
resnetv2_50d_evos,224,36.01,27.757,1,25.59,4.33,11.92
vit_medium_patch16_rope_reg1_gap_256,256,35.85,27.875,1,38.74,10.63,22.26
selecsls60,224,35.65,28.033,1,30.67,3.59,5.52
darknet53,288,35.59,28.085,1,41.61,11.78,15.68
vit_betwixt_patch16_rope_reg4_gap_256,256,35.51,28.145,1,60.23,16.52,28.24
nf_seresnet50,224,35.24,28.358,1,28.09,4.21,11.13
resnet101d,256,35.24,28.36,1,44.57,10.55,22.25
regnetx_160,224,35.17,28.416,1,54.28,15.99,25.52
efficientnet_b3_gn,320,35.01,28.544,1,11.73,2.14,28.83
vit_base_patch16_xp_224,224,34.85,28.679,1,86.51,17.56,23.9
cs3darknet_x,288,34.83,28.698,1,35.05,10.6,14.36
efficientvit_l2,224,34.79,28.728,1,63.71,6.97,19.58
resnext101_32x4d,288,34.76,28.749,1,44.18,13.24,35.09
efficientvit_l2,256,34.74,28.768,1,63.71,9.09,25.49
convnext_small,224,34.73,28.78,1,50.22,8.71,21.56
ecaresnet101d,224,34.73,28.782,1,44.57,8.08,17.07
nextvit_base,224,34.7,28.806,1,44.82,8.29,23.71
densenet121,288,34.67,28.829,1,7.98,4.74,11.41
regnetv_064,288,34.58,28.905,1,30.58,10.55,27.11
seresnext101_32x4d,224,34.52,28.956,1,48.96,8.02,21.26
nf_resnet50,256,34.49,28.98,1,25.56,5.46,14.52
resnetrs101,192,34.47,28.999,1,63.62,6.04,12.7
legacy_seresnext101_32x4d,224,34.44,29.022,1,48.96,8.02,21.26
maxvit_tiny_rw_224,224,34.35,29.1,1,29.06,5.11,33.11
repvgg_b1g4,224,34.32,29.124,1,39.97,8.15,10.64
vit_base_patch16_gap_224,224,34.16,29.258,1,86.57,17.49,25.59
efficientvit_b3,288,34.1,29.309,1,48.65,6.58,44.2
halo2botnet50ts_256,256,34.05,29.351,1,22.64,5.02,21.78
selecsls42,224,33.89,29.496,1,30.35,2.94,4.62
eca_nfnet_l0,288,33.8,29.569,1,24.14,7.12,17.29
vit_base_patch16_siglip_gap_224,224,33.75,29.618,1,85.8,17.49,23.75
resnet101_clip,224,33.7,29.656,1,56.26,9.81,18.08
resnet152,160,33.49,29.847,1,60.19,5.9,11.51
deit3_small_patch16_384,384,33.42,29.906,1,22.21,15.52,50.78
mobilenetv4_hybrid_large,384,33.38,29.94,1,37.76,7.77,34.52
regnetz_040_h,320,33.3,30.017,1,28.94,6.43,37.94
xcit_tiny_24_p8_224,224,33.26,30.048,1,12.11,9.21,45.39
densenetblur121d,288,33.25,30.063,1,8.0,5.14,13.06
densenet169,224,33.23,30.075,1,14.15,3.4,7.3
resnet101,288,33.13,30.169,1,44.55,12.95,26.83
twins_svt_base,224,33.13,30.173,1,56.07,8.59,26.33
deit3_base_patch16_224,224,33.11,30.189,1,86.59,17.58,23.9
legacy_seresnet101,224,33.08,30.217,1,49.33,7.61,15.74
regnetz_040,320,32.88,30.4,1,27.12,6.35,37.78
resnetv2_50x1_bit,224,32.87,30.406,1,25.55,4.23,11.11
vit_base_resnet50d_224,224,32.87,30.408,1,110.97,8.73,16.92
vit_base_patch16_rpn_224,224,32.84,30.438,1,86.54,17.49,23.75
poolformerv2_m36,224,32.8,30.47,1,56.08,8.81,22.02
tf_efficientnetv2_s,384,32.72,30.552,1,21.46,8.44,35.77
mobilenetv4_conv_aa_large,544,32.67,30.598,1,32.59,14.19,64.79
vit_base_patch16_siglip_224,224,32.65,30.616,1,92.88,17.73,24.06
mixnet_xl,224,32.6,30.656,1,11.9,0.93,14.57
selecsls60b,224,32.6,30.659,1,32.77,3.63,5.52
mvitv2_small,224,32.58,30.68,1,34.87,7.0,28.08
vit_small_patch16_384,384,32.55,30.711,1,22.2,15.52,50.78
caformer_s36,224,32.53,30.726,1,39.3,8.0,37.53
tnt_b_patch16_224,224,32.53,30.728,1,65.41,14.09,39.01
vitamin_small_224,224,32.51,30.744,1,22.03,5.92,26.38
nf_resnet50,288,32.5,30.752,1,25.56,6.88,18.37
hgnetv2_b5,288,32.49,30.76,1,39.57,10.84,18.5
deit_base_distilled_patch16_224,224,32.46,30.788,1,87.34,17.68,24.05
vit_base_patch16_clip_quickgelu_224,224,32.46,30.79,1,86.19,17.58,23.9
vit_base_patch16_224,224,32.37,30.879,1,86.57,17.58,23.9
convnextv2_tiny,384,32.27,30.975,1,28.64,13.14,39.48
cs3sedarknet_x,256,32.26,30.981,1,35.4,8.38,11.35
hiera_base_plus_224,224,32.24,31.003,1,69.9,12.67,37.98
seresnet101,224,32.23,31.014,1,49.33,7.84,16.27
poolformer_m36,224,32.19,31.046,1,56.17,8.8,22.02
nest_small,224,32.07,31.17,1,38.35,10.35,40.04
vit_base_patch16_clip_224,224,32.07,31.165,1,86.57,17.58,23.9
convnextv2_small,224,32.06,31.176,1,50.32,8.71,21.56
efficientnetv2_s,384,32.05,31.19,1,21.46,8.44,35.77
beitv2_base_patch16_224,224,31.94,31.292,1,86.53,17.58,23.9
pit_b_224,224,31.91,31.326,1,73.76,12.42,32.94
resnet152,176,31.85,31.385,1,60.19,7.22,13.99
deit_base_patch16_224,224,31.84,31.396,1,86.57,17.58,23.9
xcit_small_12_p16_384,384,31.81,31.426,1,26.25,14.14,36.51
vit_base_patch16_224_miil,224,31.79,31.443,1,94.4,17.59,23.91
efficientvit_l2,288,31.76,31.475,1,63.71,11.51,32.19
cspdarknet53,256,31.74,31.496,1,27.64,6.57,16.81
fastvit_sa36,256,31.72,31.513,1,31.53,5.64,34.61
efficientformerv2_l,224,31.66,31.575,1,26.32,2.59,18.54
cs3edgenet_x,256,31.65,31.583,1,47.82,11.53,12.92
vit_base_mci_224,224,31.6,31.632,1,86.35,17.73,24.65
efficientnet_b4,384,31.56,31.668,1,19.34,4.51,50.04
nest_small_jx,224,31.45,31.779,1,38.35,10.35,40.04
vit_base_patch32_clip_448,448,31.42,31.814,1,88.34,17.93,23.9
beit_base_patch16_224,224,31.4,31.831,1,86.53,17.58,23.9
nf_regnet_b4,320,31.39,31.841,1,30.21,3.29,19.88
efficientnet_b3_g8_gn,320,31.38,31.853,1,14.25,3.2,28.83
dpn98,224,31.36,31.872,1,61.57,11.73,25.2
nfnet_l0,288,31.34,31.893,1,35.07,7.13,17.29
selecsls42b,224,31.3,31.933,1,32.46,2.98,4.62
vit_relpos_base_patch16_224,224,31.26,31.976,1,86.43,17.51,24.97
efficientformer_l7,224,31.23,32.009,1,82.23,10.17,24.45
vit_relpos_base_patch16_rpn_224,224,31.19,32.049,1,86.41,17.51,24.97
efficientnetv2_rw_s,384,31.17,32.062,1,23.94,8.72,38.03
regnetz_d8,320,31.14,32.1,1,23.37,6.19,37.08
resnetaa101d,288,31.04,32.202,1,44.57,15.07,29.03
repvit_m2_3,224,30.84,32.413,1,23.69,4.57,26.21
hiera_base_abswin_256,256,30.8,32.449,1,51.27,12.46,40.7
pit_b_distilled_224,224,30.65,32.611,1,74.79,12.5,33.07
regnetz_d8_evos,320,30.64,32.621,1,23.46,7.03,38.92
resnetv2_50d_gn,288,30.59,32.672,1,25.57,7.24,19.7
tf_efficientnet_b4,380,30.51,32.765,1,19.34,4.49,49.49
inception_next_small,224,30.42,32.862,1,49.37,8.36,19.27
pvt_v2_b2,224,30.36,32.925,1,25.36,4.05,27.53
eva02_small_patch14_336,336,30.29,33.0,1,22.13,15.48,54.33
resnetblur101d,288,30.04,33.271,1,44.57,15.07,29.65
vit_base_r26_s32_224,224,30.0,33.321,1,101.38,6.81,12.36
resnext101_32x8d,176,29.83,33.513,1,88.79,10.33,19.37
repvgg_b1,224,29.67,33.688,1,57.42,13.16,10.64
resnetv2_50d_evos,288,29.65,33.713,1,25.59,7.15,19.7
tresnet_v2_l,224,29.6,33.773,1,46.17,8.85,16.34
gcvit_tiny,224,29.49,33.891,1,28.22,4.79,29.82
resnet101d,320,29.39,34.011,1,44.57,16.48,34.77
flexivit_base,240,29.33,34.08,1,86.59,20.29,28.36
regnetz_d32,320,29.32,34.088,1,27.58,9.33,37.08
resnetv2_101,288,29.31,34.106,1,44.54,12.94,26.83
mobilenetv4_hybrid_large,448,29.27,34.151,1,37.76,10.74,48.61
ecaresnet101d,288,29.15,34.285,1,44.57,13.35,28.19
samvit_base_patch16_224,224,29.14,34.296,1,86.46,17.54,24.54
res2net50_26w_8s,224,29.07,34.384,1,48.4,8.37,17.95
seresnext101_32x4d,288,29.02,34.449,1,48.96,13.25,35.12
resnet152c,224,29.01,34.452,1,60.21,11.8,23.36
coatnet_1_rw_224,224,28.9,34.585,1,41.72,8.04,34.6
fastvit_ma36,256,28.73,34.79,1,44.07,7.88,41.09
res2net101_26w_4s,224,28.72,34.8,1,45.21,8.1,18.45
xcit_small_24_p16_224,224,28.72,34.804,1,47.67,9.1,23.64
tresnet_l,224,28.63,34.917,1,55.99,10.9,11.9
fastvit_mci1,256,28.61,34.943,1,21.54,4.72,32.84
nf_regnet_b4,384,28.57,34.992,1,30.21,4.7,28.61
mvitv2_small_cls,224,28.51,35.066,1,34.87,7.04,28.17
dla169,224,28.48,35.101,1,53.39,11.6,20.2
ese_vovnet99b,224,28.47,35.103,1,63.2,16.51,11.27
cs3sedarknet_x,288,28.29,35.337,1,35.4,10.6,14.37
xception65p,299,28.23,35.414,1,39.82,13.91,52.48
cs3edgenet_x,288,28.14,35.519,1,47.82,14.59,16.36
res2net101d,224,28.14,35.527,1,45.23,8.35,19.25
xception65,299,28.1,35.573,1,39.92,13.96,52.48
twins_pcpvt_large,224,28.07,35.609,1,60.99,9.84,35.82
resnet152,224,27.96,35.749,1,60.19,11.56,22.56
vit_base_patch16_siglip_gap_256,256,27.94,35.78,1,85.84,23.13,33.23
regnety_120,288,27.92,35.806,1,51.82,20.06,35.34
volo_d2_224,224,27.78,35.98,1,58.68,14.34,41.34
cait_s24_224,224,27.64,36.167,1,46.92,9.35,40.58
regnetz_e8,256,27.54,36.301,1,57.7,9.91,40.94
coatnet_rmlp_1_rw_224,224,27.53,36.312,1,41.69,7.85,35.47
resnet152d,224,27.31,36.603,1,60.21,11.8,23.36
resnetv2_152,224,27.25,36.685,1,60.19,11.55,22.56
cs3se_edgenet_x,256,27.22,36.716,1,50.72,11.53,12.94
regnety_160,224,27.12,36.857,1,83.59,15.96,23.04
resnet152d,256,27.11,36.874,1,60.21,15.41,30.51
seresnet101,288,27.02,36.999,1,49.33,12.95,26.87
resnet152s,224,26.88,37.185,1,60.32,12.92,24.96
vit_small_patch16_36x1_224,224,26.68,37.464,1,64.67,13.71,35.69
resnetv2_152d,224,26.66,37.494,1,60.2,11.8,23.36
resnest101e,256,26.65,37.508,1,48.28,13.38,28.66
vit_base_patch16_siglip_256,256,26.57,37.619,1,92.93,23.44,33.63
coatnet_rmlp_1_rw2_224,224,26.54,37.661,1,41.72,8.11,40.13
resnext101_64x4d,224,26.53,37.681,1,83.46,15.52,31.21
davit_small,224,26.46,37.776,1,49.75,8.8,30.49
eva02_base_patch16_clip_224,224,26.43,37.819,1,86.26,17.62,26.32
convnext_tiny_hnf,288,26.37,37.908,1,28.59,7.39,22.21
vit_small_patch16_18x2_224,224,26.34,37.946,1,64.67,13.71,35.69
xcit_tiny_12_p8_384,384,26.34,37.947,1,6.71,14.13,69.14
swinv2_cr_small_224,224,26.28,38.042,1,49.7,9.07,50.27
levit_384_s8,224,26.26,38.061,1,39.12,9.98,35.86
convmixer_768_32,224,26.25,38.075,1,21.11,19.55,25.95
nextvit_large,224,26.22,38.123,1,57.87,10.78,28.99
coatnet_1_224,224,26.15,38.229,1,42.23,8.7,39.0
fastvit_mci2,256,26.12,38.263,1,35.82,7.91,43.34
tresnet_m,448,26.11,38.285,1,31.39,22.99,29.21
resnetrs101,288,25.92,38.57,1,63.62,13.56,28.53
gmlp_b16_224,224,25.89,38.602,1,73.08,15.78,30.21
vit_base_patch16_rope_reg1_gap_256,256,25.73,38.851,1,86.43,23.22,33.39
vit_small_r26_s32_384,384,25.73,38.852,1,36.47,10.43,29.85
maxxvit_rmlp_tiny_rw_256,256,25.67,38.943,1,29.64,6.66,39.76
poolformerv2_m48,224,25.65,38.971,1,73.35,11.59,29.17
swinv2_tiny_window16_256,256,25.64,38.993,1,28.35,6.68,39.02
mixnet_xxl,224,25.63,38.998,1,23.96,2.04,23.43
vit_base_patch16_reg4_gap_256,256,25.52,39.177,1,86.62,23.5,33.89
densenet201,224,25.51,39.186,1,20.01,4.34,7.85
inception_v4,299,25.47,39.242,1,42.68,12.28,15.09
swinv2_cr_small_ns_224,224,25.44,39.297,1,49.7,9.08,50.27
xception71,299,25.35,39.425,1,42.34,18.09,69.92
maxvit_tiny_tf_224,224,25.19,39.689,1,30.92,5.6,35.78
levit_conv_384_s8,224,25.15,39.74,1,39.12,9.98,35.86
resnext101_32x8d,224,25.15,39.747,1,88.79,16.48,31.21
nextvit_small,384,25.13,39.772,1,31.76,17.26,57.14
focalnet_small_srf,224,25.12,39.79,1,49.89,8.62,26.26
poolformer_m48,224,25.05,39.907,1,73.47,11.59,29.17
xcit_small_12_p8_224,224,24.99,40.001,1,26.21,18.69,47.21
wide_resnet50_2,176,24.68,40.508,1,68.88,7.29,8.97
rdnet_tiny,224,24.6,40.632,1,23.86,5.06,15.98
swin_small_patch4_window7_224,224,24.27,41.189,1,49.61,8.77,27.47
convnext_small,288,24.23,41.261,1,50.22,14.39,35.65
gcvit_small,224,24.2,41.299,1,51.09,8.57,41.61
convnext_base,224,24.1,41.474,1,88.59,15.38,28.75
convit_base,224,24.07,41.536,1,86.54,17.52,31.77
hrnet_w18,224,24.04,41.579,1,21.3,4.32,16.31
hrnet_w18_ssld,224,24.02,41.615,1,21.3,4.32,16.31
densenet161,224,23.86,41.894,1,28.68,7.79,11.06
crossvit_base_240,240,23.75,42.099,1,105.03,21.22,36.33
hgnet_base,224,23.7,42.176,1,71.58,25.14,15.47
coat_tiny,224,23.67,42.24,1,5.5,4.35,27.2
resnet200,224,23.64,42.283,1,64.67,15.07,32.19
resnet50x4_clip_gap,288,23.59,42.37,1,65.62,19.57,34.11
efficientvit_l2,384,23.51,42.516,1,63.71,20.45,57.01
mobilevitv2_200,384,23.51,42.518,1,18.45,16.24,72.34
dpn131,224,23.43,42.662,1,79.25,16.09,32.97
resnet152,288,23.31,42.887,1,60.19,19.11,37.28
repvgg_b2g4,224,23.16,43.162,1,61.76,12.63,12.9
legacy_seresnet152,224,23.14,43.193,1,66.82,11.33,22.08
convnextv2_nano,384,23.13,43.219,1,15.62,7.22,24.61
seresnext101_64x4d,224,23.11,43.257,1,88.23,15.53,31.25
inception_next_base,224,23.05,43.362,1,86.67,14.85,25.69
tresnet_xl,224,23.05,43.371,1,78.44,15.2,15.34
vit_mediumd_patch16_reg4_gap_256,256,23.05,43.371,1,64.11,17.87,37.57
pvt_v2_b3,224,22.89,43.665,1,45.24,6.92,37.7
efficientnetv2_m,320,22.82,43.798,1,54.14,11.01,39.97
mixer_l32_224,224,22.8,43.842,1,206.94,11.27,19.86
mvitv2_base,224,22.79,43.856,1,51.47,10.16,40.5
seresnet152,224,22.72,43.995,1,66.82,11.57,22.61
vit_mediumd_patch16_rope_reg1_gap_256,256,22.72,43.992,1,63.95,17.65,37.02
rdnet_small,224,22.58,44.268,1,50.44,8.74,22.55
coat_lite_medium,224,22.54,44.36,1,44.57,9.81,40.06
selecsls84,224,22.48,44.46,1,50.95,5.9,7.57
maxvit_rmlp_small_rw_224,224,22.47,44.485,1,64.9,10.75,49.3
vit_small_patch8_224,224,22.43,44.574,1,21.67,22.44,80.84
nest_base,224,22.41,44.608,1,67.72,17.96,53.39
resnet50x4_clip,288,22.35,44.73,1,87.14,21.35,35.27
hgnetv2_b6,224,22.21,45.009,1,75.26,16.88,21.23
seresnext101d_32x8d,224,22.21,45.016,1,93.59,16.72,32.05
dm_nfnet_f0,192,22.11,45.211,1,71.49,7.21,10.16
convformer_s18,384,22.05,45.339,1,26.77,11.63,46.49
seresnext101_32x8d,224,21.96,45.513,1,93.57,16.48,31.25
nest_base_jx,224,21.93,45.587,1,67.72,17.96,53.39
efficientnetv2_rw_m,320,21.92,45.609,1,53.24,12.72,47.14
volo_d1_384,384,21.86,45.726,1,26.78,22.75,108.55
nfnet_f0,192,21.82,45.824,1,71.49,7.21,10.16
convnextv2_base,224,21.75,45.952,1,88.72,15.38,28.75
seresnextaa101d_32x8d,224,21.72,46.028,1,93.59,17.25,34.16
crossvit_15_dagger_408,408,21.61,46.27,1,28.5,21.45,95.05
cs3se_edgenet_x,320,21.55,46.387,1,50.72,18.01,20.21
convformer_s36,224,21.53,46.433,1,40.01,7.67,30.5
resnet200d,256,21.53,46.442,1,64.69,20.0,43.09
eva02_base_patch14_224,224,21.38,46.75,1,85.76,23.22,36.55
wide_resnet50_2,224,21.37,46.783,1,68.88,11.43,14.4
nextvit_base,384,21.3,46.935,1,44.82,24.64,73.95
vit_medium_patch16_gap_384,384,21.14,47.294,1,39.03,26.08,67.54
inception_resnet_v2,299,21.05,47.499,1,55.84,13.18,25.06
resnet152d,320,21.02,47.565,1,60.21,24.08,47.67
coat_mini,224,20.92,47.779,1,10.34,6.82,33.68
maxvit_small_tf_224,224,20.92,47.786,1,68.93,11.66,53.17
dpn107,224,20.79,48.078,1,86.92,18.38,33.46
seresnet152d,256,20.73,48.221,1,66.84,15.42,30.56
nf_resnet101,224,20.65,48.421,1,44.55,8.01,16.23
resnext101_64x4d,288,20.65,48.413,1,83.46,25.66,51.59
efficientnet_b5,416,20.64,48.433,1,30.39,8.27,80.68
regnety_160,288,20.58,48.586,1,83.59,26.37,38.07
swin_s3_base_224,224,20.58,48.567,1,71.13,13.69,48.26
twins_svt_large,224,20.54,48.661,1,99.27,15.15,35.1
resnetrs152,256,20.5,48.776,1,86.62,15.59,30.83
convnext_small,384,20.38,49.064,1,50.22,25.58,63.37
maxvit_rmlp_small_rw_256,256,20.27,49.32,1,64.9,14.15,66.09
caformer_m36,224,20.18,49.536,1,56.2,13.29,50.48
convnext_base,256,20.18,49.55,1,88.59,20.09,37.55
vit_base_patch16_plus_240,240,20.07,49.813,1,117.56,27.41,33.08
eca_nfnet_l1,256,20.0,49.994,1,41.41,9.62,22.04
swin_s3_small_224,224,19.89,50.262,1,49.74,9.43,37.84
nf_ecaresnet101,224,19.82,50.439,1,44.55,8.01,16.27
caformer_s18,384,19.77,50.571,1,26.34,13.42,77.34
focalnet_small_lrf,224,19.76,50.604,1,50.34,8.74,28.61
maxxvit_rmlp_small_rw_256,256,19.75,50.614,1,66.01,14.67,58.38
xcit_medium_24_p16_224,224,19.72,50.699,1,84.4,16.13,31.71
swinv2_cr_small_ns_256,256,19.71,50.722,1,49.7,12.07,76.21
mvitv2_base_cls,224,19.64,50.895,1,65.44,10.23,40.65
hrnet_w30,224,19.56,51.098,1,37.71,8.15,21.21
coatnet_2_rw_224,224,19.47,51.344,1,73.87,15.09,49.22
hrnet_w18_ssld,288,19.41,51.495,1,21.3,7.14,26.96
tf_efficientnetv2_m,384,19.31,51.774,1,54.14,15.85,57.52
regnetz_e8,320,19.3,51.793,1,57.7,15.46,63.94
nf_regnet_b5,384,19.23,51.987,1,49.74,7.95,42.9
swinv2_base_window12_192,192,19.21,52.03,1,109.28,11.9,39.72
nf_seresnet101,224,19.19,52.086,1,49.33,8.02,16.27
regnetx_320,224,19.18,52.125,1,107.81,31.81,36.3
nfnet_f0,256,19.11,52.324,1,71.49,12.62,18.05
seresnet152,288,19.11,52.306,1,66.82,19.11,37.34
davit_base,224,19.02,52.571,1,87.95,15.51,40.66
swinv2_small_window8_256,256,18.89,52.909,1,49.73,11.58,40.14
dm_nfnet_f0,256,18.8,53.19,1,71.49,12.62,18.05
efficientnet_b5,448,18.77,53.255,1,30.39,9.59,93.56
coatnet_rmlp_2_rw_224,224,18.74,53.333,1,73.88,15.18,54.78
volo_d3_224,224,18.72,53.399,1,86.33,20.78,60.09
resnet200,288,18.7,53.473,1,64.67,24.91,53.21
wide_resnet50_2,288,18.69,53.49,1,68.88,18.89,23.81
vit_base_r50_s16_224,224,18.49,54.07,1,97.89,21.66,35.28
coatnet_2_224,224,18.28,54.691,1,74.68,16.5,52.67
hrnet_w32,224,18.26,54.761,1,41.23,8.97,22.02
swinv2_cr_base_ns_224,224,18.25,54.78,1,87.88,15.86,59.66
vit_relpos_base_patch16_plus_240,240,18.21,54.9,1,117.38,27.3,34.33
swinv2_cr_base_224,224,18.2,54.931,1,87.88,15.86,59.66
focalnet_base_srf,224,18.18,54.982,1,88.15,15.28,35.01
ecaresnet200d,256,18.17,55.035,1,64.69,20.0,43.15
repvgg_b2,224,18.08,55.29,1,89.02,20.45,12.9
tiny_vit_21m_384,384,17.98,55.611,1,21.23,13.77,77.83
efficientnetv2_m,416,17.86,55.989,1,54.14,18.6,67.5
hrnet_w40,224,17.79,56.196,1,57.56,12.75,25.29
coat_small,224,17.62,56.75,1,21.69,12.61,44.25
vit_large_patch32_224,224,17.61,56.779,1,305.51,15.39,13.3
hgnetv2_b6,288,17.56,56.947,1,75.26,27.9,35.09
seresnext101_32x8d,288,17.5,57.125,1,93.57,27.24,51.63
tf_efficientnet_b5,456,17.4,57.469,1,30.39,10.46,98.86
seresnet152d,320,17.32,57.723,1,66.84,24.09,47.72
vitamin_base_224,224,17.29,57.813,1,87.72,22.68,52.77
convformer_m36,224,17.26,57.916,1,57.05,12.89,42.05
hgnet_base,288,17.24,58.0,1,71.58,41.55,25.57
seresnext101d_32x8d,288,17.24,57.996,1,93.59,27.64,52.95
swin_base_patch4_window7_224,224,17.24,57.978,1,87.77,15.47,36.63
resnet200d,320,17.21,58.078,1,64.69,31.25,67.33
hrnet_w44,224,17.11,58.441,1,67.06,14.94,26.92
focalnet_base_lrf,224,17.04,58.67,1,88.75,15.43,38.13
resnetrs200,256,16.99,58.853,1,93.21,20.18,43.42
eca_nfnet_l1,320,16.96,58.934,1,41.41,14.92,34.42
hrnet_w48,224,16.96,58.95,1,77.47,17.34,28.56
xcit_small_24_p16_384,384,16.95,58.995,1,47.67,26.72,68.58
resnetv2_101x1_bit,224,16.93,59.048,1,44.54,8.04,16.23
resnetrs152,320,16.89,59.196,1,86.62,24.34,48.14
efficientnetv2_rw_m,416,16.83,59.388,1,53.24,21.49,79.62
nf_regnet_b5,456,16.76,59.666,1,49.74,11.7,61.95
seresnextaa101d_32x8d,288,16.71,59.837,1,93.59,28.51,56.44
rdnet_base,224,16.64,60.076,1,87.45,15.4,31.14
repvgg_b3g4,224,16.63,60.126,1,83.83,17.89,15.1
caformer_b36,224,16.58,60.287,1,98.75,23.22,67.3
pvt_v2_b5,224,16.49,60.633,1,81.96,11.76,50.92
cait_xxs24_384,384,16.46,60.75,1,12.03,9.63,122.66
levit_512_s8,224,16.29,61.358,1,74.05,21.82,52.28
seresnet200d,256,16.26,61.47,1,71.86,20.01,43.15
wide_resnet101_2,176,16.11,62.057,1,126.89,14.31,13.18
ecaresnet200d,288,16.1,62.085,1,64.69,25.31,54.59
crossvit_18_dagger_408,408,16.07,62.198,1,44.61,32.47,124.87
hrnet_w48_ssld,224,15.98,62.552,1,77.47,17.34,28.56
levit_conv_512_s8,224,15.95,62.68,1,74.05,21.82,52.28
pvt_v2_b4,224,15.87,63.01,1,62.56,10.14,53.74
sequencer2d_s,224,15.87,63.013,1,27.65,4.96,11.31
swinv2_small_window16_256,256,15.65,63.865,1,49.73,12.82,66.29
tf_efficientnetv2_m,480,15.22,65.703,1,54.14,24.76,89.84
vit_so150m_patch16_reg4_gap_256,256,15.19,65.83,1,134.13,36.75,53.21
xcit_tiny_24_p8_384,384,15.06,66.387,1,12.11,27.05,132.95
gcvit_base,224,15.03,66.505,1,90.32,14.87,55.48
nextvit_large,384,14.94,66.911,1,57.87,32.03,90.76
resnetv2_50x1_bit,448,14.94,66.918,1,25.55,16.62,44.46
convnext_base,288,14.89,67.143,1,88.59,25.43,47.53
convnext_large,224,14.84,67.358,1,197.77,34.4,43.13
vit_so150m_patch16_reg4_map_256,256,14.81,67.502,1,141.48,37.18,53.68
tresnet_l,448,14.68,68.089,1,55.99,43.59,47.56
swinv2_base_window8_256,256,14.67,68.146,1,87.92,20.37,52.59
seresnet200d,288,14.54,68.758,1,71.86,25.32,54.6
wide_resnet101_2,224,14.36,69.613,1,126.89,22.8,21.23
regnety_160,384,14.21,70.348,1,83.59,46.87,67.67
resnetrs200,320,13.94,71.74,1,93.21,31.51,67.81
xcit_small_24_p8_224,224,13.94,71.707,1,47.63,35.81,90.78
seresnextaa101d_32x8d,320,13.92,71.842,1,93.59,35.19,69.67
halonet_h1,256,13.84,72.256,1,8.1,3.0,51.17
maxxvitv2_rmlp_base_rw_224,224,13.8,72.456,1,116.09,24.2,62.77
convnextv2_large,224,13.73,72.793,1,197.96,34.4,43.13
convmixer_1536_20,224,13.52,73.944,1,51.63,48.68,33.03
convnextv2_base,288,13.48,74.189,1,88.72,25.43,47.53
xcit_large_24_p16_224,224,13.4,74.599,1,189.1,35.86,47.27
regnety_320,224,13.37,74.754,1,145.05,32.34,30.26
convformer_s36,384,13.27,75.368,1,40.01,22.54,89.62
hrnet_w48_ssld,288,13.15,76.002,1,77.47,28.66,47.21
vit_mediumd_patch16_reg4_gap_384,384,13.02,76.816,1,64.27,43.67,113.51
densenet264d,224,12.85,77.785,1,72.74,13.57,14.0
convformer_b36,224,12.72,78.579,1,99.88,22.69,56.06
resnetrs270,256,12.68,78.863,1,129.86,27.06,55.84
swinv2_large_window12_192,192,12.58,79.45,1,228.77,26.17,56.53
senet154,224,12.54,79.75,1,115.09,20.77,38.69
convnext_large_mlp,256,12.5,80.005,1,200.13,44.94,56.33
legacy_senet154,224,12.46,80.273,1,115.09,20.77,38.69
sequencer2d_m,224,12.45,80.32,1,38.31,6.55,14.26
caformer_s36,384,12.33,81.111,1,39.3,26.08,150.33
repvgg_b3,224,12.3,81.31,1,123.09,29.16,15.1
convnext_base,320,12.28,81.433,1,88.59,31.39,58.68
vit_betwixt_patch16_reg4_gap_384,384,12.26,81.549,1,60.6,39.71,85.28
resnest200e,320,12.23,81.771,1,70.2,35.69,82.78
vit_large_r50_s32_224,224,12.2,81.984,1,328.99,19.58,24.41
davit_large,224,12.17,82.125,1,196.81,34.6,60.99
eca_nfnet_l2,320,12.15,82.312,1,56.72,20.95,47.43
hiera_large_224,224,12.15,82.309,1,213.74,40.34,83.37
inception_next_base,384,12.09,82.668,1,86.67,43.64,75.48
efficientvit_l3,224,12.04,83.006,1,246.04,27.62,39.16
hrnet_w64,224,11.98,83.453,1,128.06,28.97,35.09
swinv2_cr_large_224,224,11.95,83.698,1,196.68,35.1,78.42
convnext_base,384,11.93,83.813,1,88.59,45.21,84.49
vit_small_patch14_dinov2,518,11.91,83.943,1,22.06,46.76,198.79
seresnet269d,256,11.85,84.4,1,113.67,26.59,53.6
vit_small_patch14_reg4_dinov2,518,11.8,84.751,1,22.06,46.95,199.77
volo_d4_224,224,11.77,84.966,1,192.96,44.34,80.22
swin_large_patch4_window7_224,224,11.62,86.078,1,196.53,34.53,54.94
dm_nfnet_f1,224,11.52,86.756,1,132.63,17.87,22.94
maxvit_rmlp_base_rw_224,224,11.49,87.018,1,116.14,23.15,92.64
vit_base_patch16_18x2_224,224,11.46,87.257,1,256.73,52.51,71.38
nfnet_f1,224,11.39,87.745,1,132.63,17.87,22.94
vit_base_patch16_siglip_gap_384,384,11.37,87.936,1,86.09,55.43,101.3
deit_base_distilled_patch16_384,384,11.35,88.072,1,87.63,55.65,101.82
swinv2_base_window12to16_192to256,256,11.33,88.242,1,87.92,22.02,84.71
tf_efficientnetv2_l,384,11.33,88.232,1,118.52,36.1,101.16
efficientnetv2_l,384,11.31,88.404,1,118.52,36.1,101.16
swinv2_base_window16_256,256,11.31,88.41,1,87.92,22.02,84.71
cait_xxs36_384,384,11.29,88.568,1,17.37,14.35,183.7
efficientvit_l3,256,11.28,88.634,1,246.04,36.06,50.98
deit3_base_patch16_384,384,11.27,88.711,1,86.88,55.54,101.56
pnasnet5large,331,11.25,88.888,1,86.06,25.04,92.89
vit_base_patch16_siglip_384,384,11.24,88.971,1,93.18,56.12,102.2
swinv2_cr_tiny_384,384,11.16,89.625,1,28.33,15.34,161.01
deit_base_patch16_384,384,11.12,89.907,1,86.86,55.54,101.56
maxvit_base_tf_224,224,11.03,90.659,1,119.47,24.04,95.01
vit_base_patch16_384,384,11.0,90.869,1,86.86,55.54,101.56
vit_base_patch16_clip_384,384,10.99,90.939,1,86.86,55.54,101.56
ecaresnet269d,320,10.97,91.108,1,102.09,41.53,83.69
cait_xs24_384,384,10.89,91.815,1,26.67,19.28,183.98
seresnet269d,288,10.88,91.91,1,113.67,33.65,67.81
coat_lite_medium_384,384,10.81,92.453,1,44.57,28.73,116.7
convnext_large,288,10.6,94.326,1,197.77,56.87,71.29
mixer_l16_224,224,10.5,95.198,1,208.2,44.6,41.69
maxvit_tiny_tf_384,384,10.45,95.712,1,30.98,17.53,123.42
volo_d2_384,384,10.43,95.885,1,58.87,46.17,184.51
tresnet_xl,448,10.39,96.26,1,78.44,60.77,61.31
convnextv2_base,384,10.38,96.284,1,88.72,45.21,84.49
resnext101_32x16d,224,10.37,96.373,1,194.03,36.27,51.18
xcit_medium_24_p16_384,384,10.37,96.422,1,84.4,47.39,91.64
eca_nfnet_l2,384,10.31,96.967,1,56.72,30.05,68.28
xcit_small_12_p8_384,384,10.12,98.757,1,26.21,54.92,138.29
tf_efficientnet_b6,528,10.1,99.042,1,43.04,19.4,167.39
ecaresnet269d,352,10.06,99.39,1,102.09,50.25,101.25
coatnet_3_rw_224,224,10.0,100.017,1,181.81,33.44,73.83
resnetv2_101x1_bit,448,9.96,100.363,1,44.54,31.65,64.93
beit_base_patch16_384,384,9.75,102.524,1,86.74,55.54,101.56
convnextv2_large,288,9.74,102.618,1,197.96,56.87,71.29
coatnet_3_224,224,9.56,104.565,1,166.97,36.56,79.01
coatnet_rmlp_3_rw_224,224,9.42,106.158,1,165.15,33.56,79.47
dm_nfnet_f1,320,9.37,106.668,1,132.63,35.97,46.77
resnetrs270,352,9.37,106.68,1,129.86,51.13,105.48
efficientnet_b6,528,9.3,107.544,1,43.04,19.4,167.39
nfnet_f1,320,9.3,107.465,1,132.63,35.97,46.77
vgg11,224,9.29,107.646,1,132.86,7.61,7.44
vgg11_bn,224,9.23,108.31,1,132.87,7.62,7.44
resnetrs350,288,9.0,111.133,1,163.96,43.67,87.09
maxxvitv2_rmlp_large_rw_224,224,8.97,111.495,1,215.42,44.14,87.15
eca_nfnet_l3,352,8.9,112.389,1,72.04,32.57,73.12
vgg13_bn,224,8.86,112.806,1,133.05,11.33,12.25
vgg13,224,8.83,113.264,1,133.05,11.31,12.25
efficientvit_l3,320,8.79,113.701,1,246.04,56.32,79.34
resnet50x16_clip_gap,384,8.68,115.129,1,136.2,70.32,100.64
tf_efficientnetv2_l,480,8.62,115.963,1,118.52,56.4,157.99
efficientnetv2_l,480,8.57,116.617,1,118.52,56.4,157.99
caformer_m36,384,8.52,117.372,1,56.2,42.11,196.35
vgg16,224,8.48,117.85,1,138.36,15.47,13.56
vgg16_bn,224,8.46,118.228,1,138.37,15.5,13.56
xcit_medium_24_p8_224,224,8.45,118.342,1,84.32,63.53,121.23
rdnet_large,224,8.33,120.029,1,186.27,34.74,46.67
resnet50x16_clip,384,8.33,120.08,1,167.33,74.9,103.54
nasnetalarge,331,8.32,120.143,1,88.75,23.89,90.56
convformer_m36,384,8.26,121.005,1,57.05,37.87,123.56
vgg19,224,8.22,121.627,1,143.67,19.63,14.86
vgg19_bn,224,8.17,122.35,1,143.68,19.66,14.86
vit_base_patch8_224,224,8.12,123.15,1,86.58,78.22,161.69
convnext_large_mlp,320,7.99,125.216,1,200.13,70.21,88.02
vit_base_r50_s16_384,384,7.91,126.378,1,98.95,67.43,135.03
volo_d5_224,224,7.87,127.129,1,295.46,72.4,118.11
vit_large_patch32_384,384,7.85,127.363,1,306.63,45.31,43.86
sequencer2d_l,224,7.84,127.533,1,54.3,9.74,22.12
mvitv2_large,224,7.81,128.04,1,217.99,43.87,112.02
tf_efficientnetv2_xl,384,7.8,128.223,1,208.12,52.81,139.2
efficientnetv2_xl,384,7.76,128.885,1,208.12,52.81,139.2
seresnextaa201d_32x8d,320,7.61,131.424,1,149.39,70.22,138.71
repvgg_d2se,320,7.53,132.811,1,133.33,74.57,46.82
resmlp_big_24_224,224,7.43,134.501,1,129.14,100.23,87.31
maxvit_small_tf_384,384,7.42,134.741,1,69.02,35.87,183.65
regnety_320,384,7.4,135.151,1,145.05,95.0,88.87
nfnet_f2,256,7.39,135.253,1,193.78,33.76,41.85
dm_nfnet_f2,256,7.38,135.503,1,193.78,33.76,41.85
swinv2_large_window12to16_192to256,256,7.38,135.529,1,196.74,47.81,121.53
cait_s24_384,384,7.33,136.424,1,47.06,32.17,245.31
mvitv2_large_cls,224,7.22,138.516,1,234.58,42.17,111.69
maxvit_large_tf_224,224,7.17,139.391,1,211.79,43.68,127.35
resnest269e,416,7.14,140.099,1,110.93,77.69,171.98
deit3_large_patch16_224,224,7.1,140.766,1,304.37,61.6,63.52
convnext_xlarge,224,7.09,140.941,1,350.2,60.98,57.5
eca_nfnet_l3,448,7.06,141.587,1,72.04,52.55,118.4
eva_large_patch14_196,196,7.05,141.766,1,304.14,61.57,63.52
vit_large_patch16_224,224,7.04,141.995,1,304.33,61.6,63.52
vit_so400m_patch14_siglip_gap_224,224,7.02,142.493,1,412.44,109.57,106.13
efficientvit_l3,384,7.0,142.789,1,246.04,81.08,114.02
vit_so400m_patch14_siglip_224,224,6.92,144.563,1,427.68,110.26,106.73
beit_large_patch16_224,224,6.89,145.132,1,304.43,61.6,63.52
resnetrs420,320,6.89,145.155,1,191.89,64.2,126.56
coatnet_rmlp_2_rw_384,384,6.88,145.305,1,73.88,47.69,209.43
beitv2_large_patch16_224,224,6.81,146.829,1,304.43,61.6,63.52
flexivit_large,240,6.75,148.061,1,304.36,70.99,75.39
resnetrs350,384,6.72,148.693,1,163.96,77.59,154.74
tiny_vit_21m_512,512,6.69,149.476,1,21.27,27.02,177.93
regnety_640,224,6.62,151.153,1,281.38,64.16,42.5
convnext_large_mlp,384,6.22,160.853,1,200.13,101.11,126.74
convnext_large,384,6.18,161.678,1,197.77,101.1,126.74
maxvit_tiny_tf_512,512,6.18,161.718,1,31.05,33.49,257.59
vit_base_patch16_siglip_gap_512,512,6.16,162.429,1,86.43,107.0,246.15
vit_base_patch16_siglip_512,512,6.07,164.62,1,93.52,108.22,247.74
swinv2_cr_small_384,384,6.06,165.106,1,49.7,29.7,298.03
vit_large_patch16_siglip_256,256,6.05,165.378,1,315.96,81.34,88.88
vit_large_patch16_siglip_gap_256,256,6.05,165.228,1,303.36,80.8,88.34
caformer_b36,384,6.03,165.848,1,98.75,72.33,261.79
convformer_b36,384,6.02,166.077,1,99.88,66.67,164.75
tf_efficientnet_b7,600,5.99,166.816,1,66.35,38.33,289.94
nfnet_f2,352,5.93,168.761,1,193.78,63.22,79.06
vit_large_patch14_224,224,5.93,168.491,1,304.2,81.08,88.79
vit_large_patch14_clip_224,224,5.91,169.122,1,304.2,81.08,88.79
vit_large_patch14_clip_quickgelu_224,224,5.9,169.496,1,303.97,81.08,88.79
dm_nfnet_f2,352,5.88,170.031,1,193.78,63.22,79.06
davit_huge,224,5.84,171.147,1,348.92,61.23,81.32
eva02_base_patch14_448,448,5.73,174.651,1,87.12,107.11,259.14
volo_d3_448,448,5.72,174.72,1,86.63,96.33,446.83
vit_large_patch14_xp_224,224,5.68,175.996,1,304.06,81.01,88.79
resnetv2_152x2_bit,224,5.66,176.636,1,236.34,46.95,45.11
maxxvitv2_rmlp_base_rw_384,384,5.61,178.328,1,116.09,72.98,213.74
eva02_large_patch14_224,224,5.59,178.843,1,303.27,81.15,97.2
xcit_large_24_p16_384,384,5.58,179.303,1,189.1,105.35,137.17
eva02_large_patch14_clip_224,224,5.57,179.623,1,304.11,81.18,97.2
convnextv2_large,384,5.56,179.883,1,197.96,101.1,126.74
efficientnet_b7,600,5.52,181.092,1,66.35,38.33,289.94
seresnextaa201d_32x8d,384,5.43,183.998,1,149.39,101.11,199.72
xcit_small_24_p8_384,384,5.41,184.801,1,47.63,105.24,265.91
coatnet_4_224,224,5.4,185.083,1,275.43,62.48,129.26
convnext_xlarge,288,5.4,185.103,1,350.2,100.8,95.05
focalnet_large_fl3,384,5.39,185.552,1,239.13,105.06,168.04
efficientnetv2_xl,512,5.36,186.546,1,208.12,93.85,247.32
tf_efficientnetv2_xl,512,5.33,187.548,1,208.12,93.85,247.32
vit_large_r50_s32_384,384,5.33,187.657,1,329.09,57.43,76.52
resnetrs420,416,5.1,195.875,1,191.89,108.45,213.79
maxvit_rmlp_base_rw_384,384,5.06,197.69,1,116.14,70.97,318.95
cait_s36_384,384,4.97,201.009,1,68.37,47.99,367.4
dm_nfnet_f3,320,4.95,201.925,1,254.92,68.77,83.93
nfnet_f3,320,4.91,203.587,1,254.92,68.77,83.93
sam2_hiera_tiny,896,4.84,206.772,1,26.85,99.86,384.63
focalnet_large_fl4,384,4.83,206.841,1,239.32,105.2,181.78
resnetv2_50x3_bit,224,4.67,214.048,1,217.32,37.06,33.34
swinv2_cr_base_384,384,4.65,215.074,1,87.88,50.57,333.68
swin_base_patch4_window12_384,384,4.64,215.585,1,87.9,47.19,134.78
vit_base_patch14_dinov2,518,4.52,221.304,1,86.58,151.71,397.58
xcit_large_24_p8_224,224,4.51,221.497,1,188.93,141.23,181.56
vit_base_patch14_reg4_dinov2,518,4.47,223.826,1,86.58,152.25,399.53
vitamin_large2_224,224,4.35,230.086,1,333.58,75.05,112.83
vitamin_large_224,224,4.31,232.245,1,333.32,75.05,112.83
maxvit_base_tf_384,384,4.15,240.709,1,119.65,73.8,332.9
maxvit_xlarge_tf_224,224,4.13,242.143,1,506.99,97.52,191.04
sam2_hiera_small,896,4.05,246.841,1,33.95,123.99,442.63
swinv2_cr_huge_224,224,4.04,247.411,1,657.83,115.97,121.08
dm_nfnet_f3,416,3.93,254.65,1,254.92,115.58,141.78
nfnet_f3,416,3.9,256.503,1,254.92,115.58,141.78
resnext101_32x32d,224,3.88,257.499,1,468.53,87.29,91.12
convnextv2_huge,224,3.79,263.535,1,660.29,115.0,79.07
maxvit_small_tf_512,512,3.77,265.289,1,69.13,67.26,383.77
regnety_640,384,3.5,285.87,1,281.38,188.47,124.83
hiera_huge_224,224,3.46,288.977,1,672.78,124.85,150.95
dm_nfnet_f4,384,3.43,291.492,1,316.07,122.14,147.57
nfnet_f4,384,3.41,293.188,1,316.07,122.14,147.57
xcit_medium_24_p8_384,384,3.41,293.093,1,84.32,186.67,354.73
efficientnet_b8,672,3.4,294.249,1,87.41,63.48,442.89
convnext_xlarge,384,3.35,298.31,1,350.2,179.2,168.99
tf_efficientnet_b8,672,3.25,307.835,1,87.41,63.48,442.89
volo_d4_448,448,3.24,308.298,1,193.41,197.13,527.35
mvitv2_huge_cls,224,3.22,310.451,1,694.8,120.67,243.63
swinv2_base_window12to24_192to384,384,3.2,312.151,1,87.92,55.25,280.36
vit_large_patch16_siglip_gap_384,384,3.12,320.663,1,303.69,190.85,269.55
resnetv2_152x2_bit,384,3.09,323.865,1,236.34,136.16,132.56
vit_large_patch16_siglip_384,384,3.09,323.531,1,316.28,192.07,270.75
swinv2_cr_large_384,384,3.08,324.559,1,196.68,108.96,404.96
vit_large_patch14_clip_quickgelu_336,336,3.08,324.978,1,304.29,191.11,270.24
deit3_large_patch16_384,384,3.07,325.832,1,304.76,191.21,270.24
swin_large_patch4_window12_384,384,3.07,326.135,1,196.74,104.08,202.16
vit_large_patch14_clip_336,336,3.06,326.627,1,304.53,191.11,270.24
vit_large_patch16_384,384,3.06,327.075,1,304.72,191.21,270.24
eva_large_patch14_336,336,3.05,327.44,1,304.53,191.1,270.24
resnetv2_101x3_bit,224,3.05,327.405,1,387.93,71.23,48.7
vitamin_large_256,256,2.97,336.409,1,333.38,99.0,154.99
eva02_large_patch14_clip_336,336,2.96,338.131,1,304.43,191.34,289.13
vitamin_large2_256,256,2.95,339.37,1,333.64,99.0,154.99
vit_huge_patch14_gap_224,224,2.91,344.196,1,630.76,166.73,138.74
vitamin_xlarge_256,256,2.89,346.39,1,436.06,130.13,177.37
deit3_huge_patch14_224,224,2.86,350.235,1,632.13,167.4,139.41
vit_huge_patch14_clip_quickgelu_224,224,2.86,349.77,1,632.08,167.4,139.41
vit_huge_patch14_xp_224,224,2.85,350.634,1,631.8,167.3,139.41
convnextv2_huge,288,2.84,351.627,1,660.29,190.1,130.7
vit_huge_patch14_224,224,2.82,354.377,1,630.76,167.4,139.41
vit_huge_patch14_clip_224,224,2.82,354.323,1,632.05,167.4,139.41
focalnet_xlarge_fl3,384,2.74,365.312,1,408.79,185.61,223.99
rdnet_large,384,2.73,366.431,1,186.27,102.09,137.13
focalnet_xlarge_fl4,384,2.71,368.544,1,409.03,185.79,242.31
beit_large_patch16_384,384,2.68,372.56,1,305.0,191.21,270.24
vit_giant_patch16_gap_224,224,2.67,374.898,1,1011.37,202.46,139.26
focalnet_huge_fl3,224,2.66,376.461,1,745.28,118.26,104.8
focalnet_huge_fl4,224,2.66,375.445,1,686.46,118.9,113.34
maxvit_large_tf_384,384,2.66,375.382,1,212.03,132.55,445.84
nfnet_f5,416,2.65,376.958,1,377.21,170.71,204.56
dm_nfnet_f5,416,2.61,382.719,1,377.21,170.71,204.56
regnety_1280,224,2.59,386.67,1,644.81,127.66,71.58
resnetv2_152x2_bit,448,2.59,386.55,1,236.34,184.99,180.43
davit_base_fl,768,2.54,394.288,1,90.37,190.32,530.15
resnet50x64_clip_gap,448,2.54,393.711,1,365.03,253.96,233.22
coatnet_5_224,224,2.53,395.688,1,687.47,145.49,194.24
resnetv2_50x3_bit,448,2.52,397.155,1,217.32,145.7,133.37
convnext_xxlarge,256,2.51,397.633,1,846.47,198.09,124.45
dm_nfnet_f4,512,2.47,405.436,1,316.07,216.26,262.26
nfnet_f4,512,2.46,405.746,1,316.07,216.26,262.26
resnet50x64_clip,448,2.45,407.97,1,420.38,265.02,239.13
sam2_hiera_base_plus,896,2.28,437.683,1,68.68,227.48,828.88
vit_giant_patch14_224,224,2.23,448.178,1,1012.61,267.18,192.64
vit_giant_patch14_clip_224,224,2.23,448.488,1,1012.65,267.18,192.64
eva_giant_patch14_224,224,2.22,450.784,1,1012.56,267.18,192.64
eva_giant_patch14_clip_224,224,2.22,449.564,1,1012.59,267.18,192.64
maxvit_base_tf_512,512,2.22,449.687,1,119.88,138.02,703.99
swinv2_large_window12to24_192to384,384,2.09,478.133,1,196.74,116.15,407.83
nfnet_f6,448,2.08,481.295,1,438.36,229.7,273.62
dm_nfnet_f6,448,2.07,484.134,1,438.36,229.7,273.62
volo_d5_448,448,2.05,486.854,1,295.91,315.06,737.92
vit_so400m_patch14_siglip_gap_384,384,2.04,490.133,1,412.99,333.46,451.19
vit_so400m_patch14_siglip_384,384,2.03,492.881,1,428.23,335.4,452.89
vitamin_large2_336,336,1.99,502.882,1,333.83,175.72,307.47
vitamin_large_336,336,1.97,507.694,1,333.57,175.72,307.47
davit_giant,224,1.93,517.662,1,1406.47,192.92,153.06
dm_nfnet_f5,544,1.87,535.5,1,377.21,290.97,349.71
nfnet_f5,544,1.84,542.033,1,377.21,290.97,349.71
eva02_large_patch14_448,448,1.79,559.708,1,305.08,362.33,689.95
cait_m36_384,384,1.77,566.081,1,271.22,173.11,734.81
convnextv2_huge,384,1.77,565.32,1,660.29,337.96,232.35
nfnet_f7,480,1.73,577.613,1,499.5,300.08,355.86
xcit_large_24_p8_384,384,1.73,579.168,1,188.93,415.0,531.82
tf_efficientnet_l2,475,1.68,594.956,1,480.31,172.11,609.89
vitamin_xlarge_336,336,1.67,597.981,1,436.06,230.18,347.33
vit_huge_patch14_clip_336,336,1.65,604.321,1,632.46,390.97,407.54
vitamin_large2_384,384,1.6,626.786,1,333.97,234.44,440.16
maxvit_xlarge_tf_384,384,1.59,627.883,1,475.32,292.78,668.76
vitamin_large_384,384,1.59,629.157,1,333.71,234.44,440.16
regnety_1280,384,1.58,633.28,1,644.81,374.99,210.2
resnetv2_101x3_bit,448,1.57,635.087,1,387.93,280.33,194.78
vit_so400m_patch14_siglip_gap_448,448,1.52,659.739,1,413.33,487.18,764.26
volo_d5_512,512,1.52,658.657,1,296.09,425.09,1105.37
vit_large_patch14_dinov2,518,1.5,668.176,1,304.37,507.15,1058.82
dm_nfnet_f6,576,1.49,670.137,1,438.36,378.69,452.2
nfnet_f6,576,1.48,676.503,1,438.36,378.69,452.2
vit_large_patch14_reg4_dinov2,518,1.48,674.657,1,304.37,508.9,1064.02
beit_large_patch16_512,512,1.43,700.682,1,305.67,362.24,656.39
vit_huge_patch14_clip_378,378,1.34,745.367,1,632.68,503.79,572.79
vit_huge_patch14_clip_quickgelu_378,378,1.34,744.209,1,632.68,503.79,572.79
vit_gigantic_patch14_clip_224,224,1.26,792.869,1,1844.91,483.96,275.37
vit_huge_patch16_gap_448,448,1.26,792.181,1,631.67,544.7,636.83
swinv2_cr_giant_224,224,1.25,799.001,1,2598.76,483.85,309.15
swinv2_cr_huge_384,384,1.25,802.044,1,657.94,352.04,583.18
vit_gigantic_patch14_224,224,1.25,797.556,1,1844.44,483.95,275.37
nfnet_f7,608,1.21,825.686,1,499.5,480.39,570.85
resnetv2_152x4_bit,224,1.15,870.095,1,936.53,186.9,90.22
convnextv2_huge,512,1.11,898.321,1,660.29,600.81,413.07
eva_giant_patch14_336,336,1.07,931.905,1,1013.01,620.64,550.67
davit_huge_fl,768,0.82,1222.73,1,360.64,744.84,1060.3
maxvit_xlarge_tf_512,512,0.82,1224.526,1,475.77,534.14,1413.22
samvit_base_patch16,1024,0.8,1252.765,1,89.67,486.43,1343.27
regnety_2560,384,0.72,1397.042,1,1282.6,747.83,296.49
cait_m48_448,448,0.7,1431.241,1,356.46,329.41,1708.23
sam2_hiera_large,1024,0.7,1429.016,1,212.15,907.48,2190.34
efficientnet_l2,800,0.59,1701.073,1,480.31,479.12,1707.39
tf_efficientnet_l2,800,0.59,1687.246,1,480.31,479.12,1707.39
resnetv2_152x4_bit,480,0.56,1780.62,1,936.53,844.84,414.26
eva_giant_patch14_560,560,0.47,2137.135,1,1014.45,1906.76,2577.17
vit_giant_patch14_dinov2,518,0.46,2152.578,1,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,0.46,2172.897,1,1136.48,1790.08,2771.21
eva02_enormous_patch14_clip_224,224,0.45,2211.904,1,4350.56,1132.46,497.58
swinv2_cr_giant_384,384,0.37,2667.378,1,2598.76,1450.71,1394.86
samvit_large_patch16,1024,0.33,3039.952,1,308.28,1493.86,2553.78
vit_so400m_patch14_siglip_gap_896,896,0.28,3633.38,1,416.87,2731.49,8492.88
samvit_huge_patch16,1024,0.22,4556.317,1,637.03,2982.23,3428.16