pytorch-image-models

1
model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
2
tinynet_e,47972.76,21.335,1024,106,2.04
3
mobilenetv3_small_050,42473.43,24.099,1024,224,1.59
4
lcnet_035,39739.31,25.756,1024,224,1.64
5
lcnet_050,35211.0,29.071,1024,224,1.88
6
mobilenetv3_small_075,31410.3,32.589,1024,224,2.04
7
mobilenetv3_small_100,28111.39,36.416,1024,224,2.54
8
tf_mobilenetv3_small_minimal_100,27538.82,37.173,1024,224,2.04
9
tinynet_d,26670.17,38.384,1024,152,2.34
10
tf_mobilenetv3_small_075,26522.93,38.597,1024,224,2.04
11
tf_mobilenetv3_small_100,24036.65,42.591,1024,224,2.54
12
lcnet_075,22451.72,45.598,1024,224,2.36
13
levit_128s,19963.52,51.282,1024,224,7.78
14
mnasnet_small,19706.27,51.952,1024,224,2.03
15
lcnet_100,18132.59,56.461,1024,224,2.95
16
mobilenetv2_035,17586.23,58.217,1024,224,1.68
17
ghostnet_050,16726.5,61.209,1024,224,2.59
18
regnetx_002,16238.56,63.048,1024,224,2.68
19
regnety_002,15227.23,67.235,1024,224,3.16
20
mnasnet_050,15022.24,68.154,1024,224,2.22
21
tinynet_c,14089.9,72.665,1024,184,2.46
22
mobilenetv2_050,14032.51,72.961,1024,224,1.97
23
levit_128,13679.77,74.845,1024,224,9.21
24
semnasnet_050,13508.98,75.79,1024,224,2.08
25
vit_small_patch32_224,12109.88,84.548,1024,224,22.88
26
mixer_s32_224,11702.15,87.494,1024,224,19.1
27
levit_192,11695.39,87.545,1024,224,10.95
28
lcnet_150,11564.86,88.533,1024,224,4.5
29
mobilenetv3_large_075,11407.33,89.755,1024,224,3.99
30
gernet_s,10837.81,94.473,1024,224,8.17
31
vit_tiny_r_s16_p8_224,10598.14,96.609,1024,224,6.34
32
mobilenetv3_rw,10164.28,100.733,1024,224,5.48
33
tf_mobilenetv3_large_075,10125.76,101.117,1024,224,3.99
34
regnetx_004,10069.8,101.678,1024,224,5.16
35
mobilenetv3_large_100,10017.28,102.212,1024,224,5.48
36
mobilenetv3_large_100_miil,10014.68,102.238,1024,224,5.48
37
ese_vovnet19b_slim_dw,9944.69,102.957,1024,224,1.9
38
hardcorenas_a,9792.24,104.561,1024,224,5.26
39
mnasnet_075,9774.09,104.755,1024,224,3.17
40
tf_mobilenetv3_large_minimal_100,9771.38,104.784,1024,224,3.92
41
ghostnet_100,9041.17,113.248,1024,224,5.18
42
hardcorenas_b,9021.74,113.492,1024,224,5.18
43
tinynet_b,8976.69,114.061,1024,188,3.73
44
swsl_resnet18,8971.65,114.125,1024,224,11.69
45
tf_mobilenetv3_large_100,8954.66,114.343,1024,224,5.48
46
gluon_resnet18_v1b,8949.74,114.406,1024,224,11.69
47
ssl_resnet18,8947.2,114.439,1024,224,11.69
48
resnet18,8927.25,114.693,1024,224,11.69
49
hardcorenas_c,8864.36,115.506,1024,224,5.52
50
mobilenetv2_075,8764.66,116.82,1024,224,2.64
51
mnasnet_100,8646.99,118.411,1024,224,4.38
52
mnasnet_b1,8646.34,118.421,1024,224,4.38
53
semnasnet_075,8603.57,119.009,1024,224,2.91
54
levit_256,8528.42,120.058,1024,224,18.89
55
regnety_004,8497.03,120.501,1024,224,4.34
56
seresnet18,8461.0,121.015,1024,224,11.78
57
hardcorenas_d,8306.25,123.269,1024,224,7.5
58
legacy_seresnet18,8213.74,124.658,1024,224,11.78
59
regnetx_006,8055.06,127.114,1024,224,6.2
60
mobilenetv2_100,7900.5,129.6,1024,224,3.5
61
spnasnet_100,7827.4,130.811,1024,224,4.42
62
semnasnet_100,7701.96,132.941,1024,224,3.89
63
mnasnet_a1,7678.8,133.342,1024,224,3.89
64
resnet18d,7478.23,136.919,1024,224,11.71
65
levit_256d,7357.48,139.166,1024,224,26.21
66
ghostnet_130,7270.82,140.824,1024,224,7.36
67
regnety_006,7263.32,140.971,1024,224,6.06
68
hardcorenas_f,7222.67,141.764,1024,224,8.2
69
hardcorenas_e,7174.56,142.715,1024,224,8.07
70
efficientnet_lite0,7057.13,145.09,1024,224,4.65
71
ese_vovnet19b_slim,6975.46,146.789,1024,224,3.17
72
tinynet_a,6918.13,148.004,1024,192,6.19
73
fbnetc_100,6847.55,149.531,1024,224,5.57
74
tf_efficientnetv2_b0,6842.85,149.633,1024,224,7.14
75
xcit_nano_12_p16_224_dist,6769.74,151.25,1024,224,3.05
76
xcit_nano_12_p16_224,6760.61,151.454,1024,224,3.05
77
regnetx_008,6358.56,161.031,1024,224,7.26
78
deit_tiny_patch16_224,6350.86,161.227,1024,224,5.72
79
vit_tiny_patch16_224,6346.8,161.33,1024,224,5.72
80
tf_efficientnet_lite0,6324.64,161.895,1024,224,4.65
81
deit_tiny_distilled_patch16_224,6241.01,164.064,1024,224,5.91
82
efficientnet_b0,6183.5,165.59,1024,224,5.29
83
efficientnet_b1_pruned,6044.57,169.396,1024,240,6.33
84
rexnet_100,6031.43,169.765,1024,224,4.8
85
mnasnet_140,6024.95,169.948,1024,224,7.12
86
rexnetr_100,5992.24,170.876,1024,224,4.88
87
dla46_c,5989.01,170.968,1024,224,1.3
88
pit_ti_distilled_224,5978.67,171.264,1024,224,5.1
89
mobilenetv2_110d,5966.33,171.618,1024,224,4.52
90
pit_ti_224,5950.27,172.082,1024,224,4.85
91
regnety_008,5940.31,172.37,1024,224,6.26
92
resnetblur18,5929.76,172.677,1024,224,11.69
93
tf_efficientnet_b0,5620.98,182.161,1024,224,5.29
94
tf_efficientnet_b0_ns,5610.83,182.491,1024,224,5.29
95
tf_efficientnet_b0_ap,5603.36,182.734,1024,224,5.29
96
skresnet18,5578.53,183.549,1024,224,11.96
97
regnetz_005,5482.6,186.761,1024,224,7.12
98
semnasnet_140,5325.69,192.263,1024,224,6.11
99
mobilenetv2_140,5271.81,194.229,1024,224,6.11
100
resnet34,5239.3,195.434,1024,224,21.8
101
tv_resnet34,5236.24,195.548,1024,224,21.8
102
gluon_resnet34_v1b,5233.7,195.644,1024,224,21.8
103
ese_vovnet19b_dw,5190.19,197.284,1024,224,6.54
104
levit_384,5177.17,197.779,1024,224,39.13
105
mobilevit_xxs,5154.01,198.668,1024,256,1.27
106
visformer_tiny,5148.77,198.871,1024,224,10.32
107
hrnet_w18_small,5137.51,199.307,1024,224,13.19
108
nf_regnet_b0,5134.01,199.442,1024,256,8.76
109
seresnet34,4940.74,207.245,1024,224,21.96
110
mixnet_s,4921.18,208.067,1024,224,4.13
111
gernet_m,4881.9,209.742,1024,224,21.14
112
efficientnet_lite1,4817.11,212.565,1024,240,5.42
113
legacy_seresnet34,4790.34,213.752,1024,224,21.96
114
selecsls42,4787.26,213.889,1024,224,30.35
115
selecsls42b,4772.45,214.553,1024,224,32.46
116
dla46x_c,4717.05,217.071,1024,224,1.07
117
resnet34d,4707.81,217.499,1024,224,21.82
118
vit_base_patch32_224,4653.29,220.048,1024,224,88.22
119
vit_base_patch32_224_sam,4636.98,220.822,1024,224,88.22
120
pit_xs_224,4628.58,221.222,1024,224,10.62
121
tf_mixnet_s,4615.88,221.831,1024,224,4.13
122
fbnetv3_b,4595.16,222.83,1024,256,8.6
123
rexnetr_130,4587.31,223.212,1024,224,7.61
124
pit_xs_distilled_224,4586.36,223.258,1024,224,11.0
125
resmlp_12_distilled_224,4524.79,226.297,1024,224,15.35
126
resmlp_12_224,4522.51,226.411,1024,224,15.35
127
tf_efficientnetv2_b1,4515.62,226.756,1024,240,8.14
128
dla60x_c,4459.55,229.607,1024,224,1.32
129
tf_efficientnet_lite1,4427.03,231.295,1024,240,5.42
130
mixer_b32_224,4423.78,231.465,1024,224,60.29
131
rexnet_130,4423.43,231.482,1024,224,7.56
132
xcit_tiny_12_p16_224_dist,4363.62,234.654,1024,224,6.72
133
xcit_tiny_12_p16_224,4352.75,235.24,1024,224,6.72
134
resnet26,4300.48,238.1,1024,224,16.0
135
mobilenetv2_120d,4276.4,239.441,1024,224,5.83
136
efficientnet_es_pruned,4244.8,241.225,1024,224,5.44
137
efficientnet_es,4243.52,241.298,1024,224,5.44
138
repvgg_b0,4216.88,242.821,1024,224,15.82
139
selecsls60,4146.99,246.913,1024,224,30.67
140
selecsls60b,4134.81,247.64,1024,224,32.77
141
tf_efficientnet_es,4097.34,249.906,1024,224,5.44
142
fbnetv3_d,4060.14,252.196,1024,256,10.31
143
efficientnet_b2_pruned,4051.65,252.724,1024,260,8.31
144
efficientnet_b0_g16_evos,3982.5,257.113,1024,224,8.11
145
rexnetr_150,3947.19,259.414,1024,224,9.78
146
crossvit_tiny_240,3922.12,261.07,1024,240,7.01
147
mixer_s16_224,3902.13,262.409,1024,224,18.53
148
resnet26d,3896.6,262.781,1024,224,16.01
149
dla34,3859.49,265.307,1024,224,15.74
150
ecaresnet50d_pruned,3854.93,265.621,1024,224,19.94
151
rexnet_150,3827.99,267.492,1024,224,9.73
152
vit_small_patch32_384,3806.52,269.0,1024,384,22.92
153
nf_resnet26,3804.26,269.16,1024,224,16.0
154
gmixer_12_224,3797.94,269.608,1024,224,12.7
155
efficientnet_lite2,3793.99,269.889,1024,260,6.09
156
gmlp_ti16_224,3724.27,274.941,1024,224,5.87
157
crossvit_9_240,3711.74,275.869,1024,240,8.55
158
regnetx_016,3640.75,281.247,1024,224,9.19
159
efficientnet_cc_b0_4e,3606.59,283.912,1024,224,13.31
160
efficientnet_cc_b0_8e,3600.63,284.383,1024,224,24.01
161
crossvit_9_dagger_240,3560.19,287.614,1024,240,8.78
162
tf_efficientnet_b1_ap,3560.01,287.626,1024,240,7.79
163
tf_efficientnet_b1,3559.25,287.687,1024,240,7.79
164
tf_efficientnet_b1_ns,3553.74,288.134,1024,240,7.79
165
tf_efficientnet_lite2,3505.87,292.07,1024,260,6.09
166
efficientnet_b1,3481.01,294.155,1024,256,7.79
167
poolformer_s12,3480.88,294.166,1024,224,11.92
168
vit_tiny_r_s16_p8_384,3451.73,148.319,512,384,6.36
169
tf_efficientnetv2_b2,3443.76,297.337,1024,260,10.1
170
tf_efficientnet_cc_b0_8e,3407.59,300.493,1024,224,24.01
171
tf_efficientnet_cc_b0_4e,3402.61,300.934,1024,224,13.31
172
mixnet_m,3369.57,303.884,1024,224,5.01
173
regnety_016,3343.57,306.248,1024,224,11.2
174
nf_seresnet26,3326.57,307.813,1024,224,17.4
175
nf_ecaresnet26,3308.22,309.519,1024,224,16.0
176
repvgg_a2,3284.74,311.731,1024,224,28.21
177
gernet_l,3260.13,314.086,1024,256,31.08
178
tf_mixnet_m,3258.23,314.269,1024,224,5.01
179
resnest14d,3225.43,317.465,1024,224,10.61
180
efficientnet_b3_pruned,3214.49,318.545,1024,300,9.86
181
convnext_nano_hnf,3199.89,319.999,1024,224,15.59
182
skresnet34,3189.47,321.044,1024,224,22.28
183
convit_tiny,3117.16,328.49,1024,224,5.71
184
resnext26ts,3098.65,330.453,1024,256,10.3
185
legacy_seresnext26_32x4d,3086.27,331.78,1024,224,16.79
186
nf_regnet_b1,3049.58,335.771,1024,288,10.22
187
resnet26t,3040.5,336.774,1024,256,16.01
188
seresnext26ts,3026.32,338.35,1024,256,10.39
189
eca_resnext26ts,3023.05,338.719,1024,256,10.3
190
gcresnext26ts,2976.22,344.049,1024,256,10.48
191
ecaresnet101d_pruned,2954.94,346.526,1024,224,24.88
192
nf_regnet_b2,2933.65,349.041,1024,272,14.31
193
mobilevit_xs,2913.13,175.744,512,256,2.32
194
seresnext26tn_32x4d,2898.81,353.236,1024,224,16.81
195
seresnext26t_32x4d,2897.48,353.398,1024,224,16.81
196
ecaresnext26t_32x4d,2893.22,353.918,1024,224,15.41
197
ecaresnext50t_32x4d,2891.83,354.088,1024,224,15.41
198
seresnext26d_32x4d,2884.91,354.937,1024,224,16.81
199
ecaresnetlight,2878.45,355.733,1024,224,30.16
200
pit_s_224,2872.59,356.46,1024,224,23.46
201
deit_small_patch16_224,2853.43,358.855,1024,224,22.05
202
pit_s_distilled_224,2851.86,359.052,1024,224,24.04
203
vit_small_patch16_224,2845.41,359.865,1024,224,22.05
204
tf_efficientnet_b2_ap,2814.51,363.814,1024,260,9.11
205
tf_efficientnet_b2_ns,2814.31,363.839,1024,260,9.11
206
coat_lite_tiny,2814.08,363.872,1024,224,5.72
207
tf_efficientnet_b2,2813.96,363.886,1024,260,9.11
208
rexnetr_200,2808.62,182.283,512,224,16.52
209
deit_small_distilled_patch16_224,2801.73,365.478,1024,224,22.44
210
tresnet_m,2787.92,367.287,1024,224,31.39
211
resnetv2_50,2780.22,368.303,1024,224,25.55
212
eca_botnext26ts_256,2766.45,370.137,1024,256,10.59
213
rexnet_200,2763.52,185.259,512,224,16.37
214
vit_base2_patch32_256,2752.1,372.066,1024,256,119.46
215
botnet26t_256,2750.58,372.273,1024,256,12.49
216
halonet26t,2727.12,375.475,1024,256,12.48
217
eca_halonext26ts,2721.42,376.262,1024,256,10.76
218
swsl_resnet50,2693.51,380.159,1024,224,25.56
219
tv_resnet50,2687.71,380.98,1024,224,25.56
220
efficientnet_b0_gn,2686.21,381.194,1024,224,5.29
221
ssl_resnet50,2684.8,381.394,1024,224,25.56
222
gluon_resnet50_v1b,2682.34,381.744,1024,224,25.56
223
resnet50,2681.21,381.904,1024,224,25.56
224
vit_small_resnet26d_224,2675.44,382.728,1024,224,63.61
225
efficientnet_b2a,2654.03,385.816,1024,288,9.11
226
efficientnet_b2,2649.9,386.418,1024,288,9.11
227
coat_lite_mini,2646.6,386.899,1024,224,11.01
228
hrnet_w18_small_v2,2638.47,388.089,1024,224,15.6
229
resnetv2_50t,2621.75,390.565,1024,224,25.57
230
vovnet39a,2620.98,390.68,1024,224,22.6
231
resnetv2_50d,2613.09,391.86,1024,224,25.57
232
bat_resnext26ts,2594.52,394.665,1024,256,10.73
233
resnet32ts,2591.72,395.092,1024,256,17.96
234
efficientnet_em,2587.13,395.792,1024,240,6.9
235
cspresnet50,2561.78,399.709,1024,256,21.62
236
mixnet_l,2560.63,199.939,512,224,7.33
237
resnet33ts,2550.89,401.417,1024,256,19.68
238
dpn68b,2548.03,401.866,1024,224,12.61
239
gluon_resnet50_v1c,2543.04,402.654,1024,224,25.58
240
ese_vovnet39b,2535.01,403.931,1024,224,24.57
241
eca_vovnet39b,2533.56,404.162,1024,224,22.6
242
cspresnext50,2530.86,404.592,1024,224,20.57
243
legacy_seresnet50,2527.3,405.162,1024,224,28.09
244
vgg11_bn,2524.72,202.784,512,224,132.87
245
tf_efficientnet_em,2523.81,405.723,1024,240,6.9
246
resnet50t,2521.66,406.069,1024,224,25.57
247
resnet50d,2517.37,406.76,1024,224,25.58
248
gluon_resnet50_v1d,2514.4,407.243,1024,224,25.58
249
dpn68,2513.01,407.467,1024,224,12.61
250
selecsls84,2490.46,411.155,1024,224,50.95
251
seresnet33ts,2489.53,411.308,1024,256,19.78
252
eca_resnet33ts,2483.09,412.378,1024,256,19.68
253
lambda_resnet26t,2479.99,412.893,1024,256,10.96
254
tf_mixnet_l,2478.99,206.524,512,224,7.33
255
twins_svt_small,2475.31,413.674,1024,224,24.06
256
gcresnet33ts,2439.7,419.711,1024,256,19.88
257
cspresnet50w,2418.46,423.398,1024,256,28.12
258
seresnet50,2407.37,425.348,1024,224,28.09
259
cspresnet50d,2400.89,426.492,1024,256,21.64
260
dla60,2376.63,430.848,1024,224,22.04
261
densenet121,2346.76,436.333,1024,224,7.98
262
resnest26d,2346.08,436.46,1024,224,17.07
263
tv_densenet121,2345.79,436.514,1024,224,7.98
264
xcit_tiny_24_p16_224_dist,2334.54,438.616,1024,224,12.12
265
xcit_nano_12_p16_384_dist,2332.68,438.968,1024,384,3.05
266
xcit_tiny_24_p16_224,2328.43,439.766,1024,224,12.12
267
haloregnetz_b,2320.38,441.294,1024,224,11.68
268
resmlp_24_224,2308.85,443.498,1024,224,30.02
269
resmlp_24_distilled_224,2308.13,443.636,1024,224,30.02
270
resnetaa50d,2295.34,446.109,1024,224,25.58
271
seresnet50t,2282.97,448.526,1024,224,28.1
272
efficientnet_cc_b1_8e,2282.2,448.676,1024,240,39.72
273
convnext_tiny,2276.32,449.828,1024,224,28.59
274
res2net50_48w_2s,2265.43,451.999,1024,224,25.29
275
resnetblur50,2265.02,452.08,1024,224,25.56
276
efficientnet_lite3,2261.44,226.393,512,300,8.2
277
ecaresnet50d,2260.92,452.9,1024,224,25.58
278
efficientnet_b0_g8_gn,2259.05,453.276,1024,224,6.56
279
densenet121d,2243.46,456.425,1024,224,8.0
280
resnetrs50,2241.6,456.804,1024,224,35.69
281
mobilevit_s,2240.37,228.522,512,256,5.58
282
regnetx_032,2201.52,465.118,1024,224,15.3
283
visformer_small,2194.82,466.539,1024,224,40.22
284
gluon_resnet50_v1s,2193.42,466.838,1024,224,25.68
285
tf_efficientnet_cc_b1_8e,2188.26,467.941,1024,240,39.72
286
vit_base_resnet26d_224,2188.18,467.954,1024,224,101.4
287
resnetblur50d,2150.42,476.173,1024,224,25.58
288
gluon_inception_v3,2150.17,476.225,1024,299,23.83
289
adv_inception_v3,2148.48,476.602,1024,299,23.83
290
vovnet57a,2148.25,476.651,1024,224,36.64
291
tf_inception_v3,2147.17,476.894,1024,299,23.83
292
inception_v3,2146.78,476.978,1024,299,23.83
293
densenetblur121d,2133.31,479.992,1024,224,8.0
294
cspresnext50_iabn,2129.31,480.895,1024,256,20.57
295
semobilevit_s,2105.83,243.122,512,256,5.74
296
seresnetaa50d,2088.02,490.403,1024,224,28.11
297
cspdarknet53_iabn,2087.26,490.582,1024,256,27.64
298
swsl_resnext50_32x4d,2080.34,492.214,1024,224,25.03
299
convnext_tiny_hnf,2075.56,493.349,1024,224,28.59
300
ese_vovnet57b,2074.63,493.57,1024,224,38.61
301
tf_efficientnet_lite3,2074.49,246.795,512,300,8.2
302
resnext50_32x4d,2073.97,493.725,1024,224,25.03
303
ssl_resnext50_32x4d,2073.23,493.902,1024,224,25.03
304
gluon_resnext50_32x4d,2072.3,494.125,1024,224,25.03
305
tv_resnext50_32x4d,2055.26,498.221,1024,224,25.03
306
res2net50_26w_4s,2037.79,502.491,1024,224,25.7
307
twins_pcpvt_small,2036.4,502.835,1024,224,24.11
308
xcit_small_12_p16_224_dist,2021.26,506.599,1024,224,26.25
309
tf_efficientnetv2_b3,2020.91,506.688,1024,300,14.36
310
xcit_small_12_p16_224,2020.4,506.814,1024,224,26.25
311
nf_seresnet50,2015.9,507.948,1024,224,28.09
312
skresnet50,2014.26,508.362,1024,224,25.8
313
nf_ecaresnet50,2005.54,510.572,1024,224,25.56
314
regnetx_040,2003.23,511.16,1024,224,22.12
315
efficientnetv2_rw_t,1999.8,512.038,1024,288,13.65
316
sehalonet33ts,1991.52,257.078,512,256,13.69
317
fbnetv3_g,1991.44,514.187,1024,288,16.62
318
dla60x,1986.19,515.547,1024,224,17.35
319
gcresnet50t,1982.14,516.599,1024,256,25.9
320
resnext50d_32x4d,1976.72,518.018,1024,224,25.05
321
lambda_resnet26rpt_256,1950.98,262.42,512,256,10.99
322
gmixer_24_224,1937.61,528.474,1024,224,24.72
323
gc_efficientnetv2_rw_t,1928.42,530.993,1024,288,13.68
324
res2net50_14w_8s,1920.35,533.22,1024,224,25.06
325
skresnet50d,1919.46,533.468,1024,224,25.82
326
densenet169,1916.46,534.305,1024,224,14.15
327
dla60_res2net,1907.38,536.848,1024,224,20.85
328
gcresnext50ts,1902.33,538.276,1024,256,15.67
329
seresnext50_32x4d,1902.13,538.331,1024,224,27.56
330
gluon_seresnext50_32x4d,1901.68,538.457,1024,224,27.56
331
res2next50,1896.89,539.818,1024,224,24.67
332
legacy_seresnext50_32x4d,1896.31,539.984,1024,224,27.56
333
repvgg_b1g4,1884.44,543.384,1024,224,39.97
334
resnest50d_1s4x24d,1879.81,544.722,1024,224,25.68
335
crossvit_small_240,1855.05,551.992,1024,240,26.86
336
nf_regnet_b3,1852.1,552.873,1024,320,18.59
337
darknet53,1847.62,277.102,512,256,41.61
338
mixnet_xl,1839.34,278.346,512,224,11.9
339
dla60_res2next,1829.2,559.793,1024,224,17.03
340
swin_tiny_patch4_window7_224,1820.74,562.394,1024,224,28.29
341
cspdarknet53,1804.24,283.762,512,256,27.64
342
poolformer_s24,1803.36,567.817,1024,224,21.39
343
vit_small_r26_s32_224,1799.77,568.949,1024,224,36.43
344
xcit_nano_12_p8_224_dist,1796.05,570.128,1024,224,3.05
345
xcit_nano_12_p8_224,1795.49,570.304,1024,224,3.05
346
regnetz_b16,1791.93,571.438,1024,288,9.72
347
ecaresnet26t,1786.82,573.073,1024,320,16.01
348
convnext_tiny_hnfd,1744.82,586.868,1024,224,28.63
349
gmlp_s16_224,1741.6,587.951,1024,224,19.42
350
sebotnet33ts_256,1718.54,223.433,384,256,13.7
351
crossvit_15_240,1711.44,598.314,1024,240,27.53
352
resnetv2_101,1693.03,604.82,1024,224,44.54
353
vit_base_resnet50d_224,1670.98,612.798,1024,224,110.97
354
swin_s3_tiny_224,1660.14,616.801,1024,224,28.33
355
repvgg_b1,1657.85,617.654,1024,224,57.42
356
tv_resnet101,1656.03,618.332,1024,224,44.55
357
gluon_resnet101_v1b,1653.8,619.167,1024,224,44.55
358
resnet101,1652.45,619.673,1024,224,44.55
359
tf_efficientnet_b3_ap,1649.82,310.323,512,300,12.23
360
tf_efficientnet_b3,1649.61,310.363,512,300,12.23
361
tf_efficientnet_b3_ns,1649.37,310.407,512,300,12.23
362
crossvit_15_dagger_240,1648.34,621.218,1024,240,28.21
363
lambda_resnet50ts,1639.74,624.475,1024,256,21.54
364
resnetv2_101d,1628.19,628.906,1024,224,44.56
365
efficientnet_b3,1614.3,317.152,512,320,12.23
366
efficientnet_b3a,1613.57,317.296,512,320,12.23
367
gluon_resnet101_v1c,1597.11,641.145,1024,224,44.57
368
resnest50d,1586.43,645.46,1024,224,27.48
369
gluon_resnet101_v1d,1584.97,646.054,1024,224,44.57
370
wide_resnet50_2,1583.06,646.835,1024,224,68.88
371
cait_xxs24_224,1580.68,647.808,1024,224,11.96
372
dla102,1573.96,650.576,1024,224,33.27
373
resnetv2_50x1_bit_distilled,1561.81,655.635,1024,224,25.55
374
res2net50_26w_6s,1556.3,657.955,1024,224,37.05
375
vit_large_patch32_224,1551.79,659.869,1024,224,306.54
376
resmlp_36_224,1549.07,661.03,1024,224,44.69
377
regnetx_080,1548.92,661.091,1024,224,39.57
378
resmlp_36_distilled_224,1548.49,661.277,1024,224,44.69
379
halonet50ts,1542.39,663.891,1024,256,22.73
380
legacy_seresnet101,1528.82,669.783,1024,224,49.33
381
ese_vovnet39b_evos,1523.51,672.121,1024,224,24.58
382
coat_lite_small,1509.49,678.361,1024,224,19.84
383
vgg13_bn,1504.09,340.392,512,224,133.05
384
xcit_tiny_12_p16_384_dist,1501.95,681.763,1024,384,6.72
385
resnetaa101d,1496.92,684.059,1024,224,44.57
386
swin_v2_cr_tiny_224,1495.36,684.765,1024,224,28.33
387
densenet201,1488.38,687.985,1024,224,20.01
388
seresnet101,1484.39,689.83,1024,224,49.33
389
vit_tiny_patch16_384,1479.06,692.319,1024,384,5.79
390
lamhalobotnet50ts_256,1474.4,694.504,1024,256,22.57
391
swin_v2_cr_tiny_ns_224,1471.62,695.817,1024,224,28.33
392
vit_base_patch32_384,1470.27,696.459,1024,384,88.3
393
vit_base_r26_s32_224,1467.48,697.779,1024,224,101.38
394
gluon_resnet101_v1s,1452.66,704.901,1024,224,44.67
395
regnetx_064,1450.48,352.975,512,224,26.21
396
mixer_b16_224,1448.87,706.746,1024,224,59.88
397
nf_resnet101,1448.19,707.076,1024,224,44.55
398
mixer_b16_224_miil,1446.14,708.08,1024,224,59.88
399
resnetv2_50d_frn,1444.18,709.041,1024,224,25.59
400
resnetblur101d,1433.31,714.414,1024,224,44.57
401
nf_resnet50,1425.83,718.163,1024,288,25.56
402
mixer_l32_224,1425.39,718.388,1024,224,206.94
403
ecaresnet101d,1423.43,719.375,1024,224,44.57
404
hrnet_w18,1416.64,722.817,1024,224,21.3
405
convnext_small,1412.23,725.081,1024,224,50.22
406
tresnet_l,1401.27,730.75,1024,224,55.99
407
twins_pcpvt_base,1398.04,732.441,1024,224,43.83
408
regnety_032,1384.84,739.421,1024,288,19.44
409
nest_tiny,1381.77,370.526,512,224,17.06
410
resnet50_gn,1377.54,743.338,1024,224,25.56
411
resnet51q,1366.14,749.545,1024,288,35.7
412
resnetv2_50d_evob,1365.49,749.897,1024,224,25.59
413
jx_nest_tiny,1357.18,377.241,512,224,17.06
414
botnet50ts_256,1354.82,377.899,512,256,22.74
415
xception,1347.6,379.923,512,299,22.86
416
dla102x,1333.01,768.169,1024,224,26.31
417
convit_small,1329.45,770.231,1024,224,27.78
418
halo2botnet50ts_256,1327.73,385.607,512,256,22.64
419
skresnext50_32x4d,1314.86,778.776,1024,224,27.48
420
swsl_resnext101_32x4d,1313.2,779.762,1024,224,44.18
421
ssl_resnext101_32x4d,1309.86,781.751,1024,224,44.18
422
gluon_resnext101_32x4d,1309.44,781.999,1024,224,44.18
423
resnext101_32x4d,1308.3,782.684,1024,224,44.18
424
repvgg_b2g4,1287.88,795.093,1024,224,61.76
425
res2net50_26w_8s,1277.42,801.601,1024,224,48.4
426
res2net101_26w_4s,1275.83,802.597,1024,224,45.21
427
resnest50d_4s2x40d,1267.83,807.666,1024,224,30.42
428
nf_seresnet101,1246.67,821.372,1024,224,49.33
429
twins_svt_base,1242.25,824.296,1024,224,56.07
430
nf_ecaresnet101,1240.12,825.715,1024,224,44.55
431
vgg16_bn,1239.17,413.169,512,224,138.37
432
resnet61q,1236.58,828.077,1024,288,36.85
433
eca_nfnet_l0,1234.82,829.257,1024,288,24.14
434
nfnet_l0,1234.39,829.546,1024,288,35.07
435
hrnet_w32,1225.86,835.318,1024,224,41.23
436
xception41p,1219.47,419.841,512,299,26.91
437
poolformer_s36,1217.85,840.81,1024,224,30.86
438
ese_vovnet99b_iabn,1214.4,843.2,1024,224,63.2
439
crossvit_18_240,1210.54,845.892,1024,240,43.27
440
regnetv_040,1210.02,423.122,512,288,20.64
441
regnety_040,1209.84,423.186,512,288,20.65
442
hrnet_w30,1208.97,846.988,1024,224,37.71
443
dpn92,1205.79,849.224,1024,224,37.67
444
gluon_seresnext101_32x4d,1198.19,854.61,1024,224,48.96
445
seresnext101_32x4d,1197.93,854.792,1024,224,48.96
446
legacy_seresnext101_32x4d,1196.55,855.783,1024,224,48.96
447
efficientnet_el,1181.26,433.424,512,300,10.59
448
efficientnet_el_pruned,1179.3,434.142,512,300,10.59
449
ese_vovnet99b,1178.02,869.24,1024,224,63.2
450
resnetv2_152,1172.64,873.226,1024,224,60.19
451
crossvit_18_dagger_240,1169.98,875.211,1024,240,44.27
452
tf_efficientnet_el,1156.16,442.832,512,300,10.59
453
tv_resnet152,1155.28,886.354,1024,224,60.19
454
resnet152,1153.46,887.752,1024,224,60.19
455
gluon_resnet152_v1b,1153.39,887.802,1024,224,60.19
456
xcit_tiny_12_p8_224_dist,1148.77,891.372,1024,224,6.71
457
xcit_tiny_12_p8_224,1148.55,891.542,1024,224,6.71
458
vit_small_resnet50d_s16_224,1140.9,897.523,1024,224,57.53
459
resnetv2_152d,1140.85,897.561,1024,224,60.2
460
mixnet_xxl,1136.05,338.002,384,224,23.96
461
ecaresnet50t,1133.49,903.391,1024,320,25.57
462
regnetz_c16,1132.12,452.237,512,320,13.46
463
repvgg_b2,1129.63,906.478,1024,224,89.02
464
gluon_resnet152_v1c,1126.87,908.694,1024,224,60.21
465
vit_base_patch16_224_miil,1124.8,910.37,1024,224,86.54
466
gluon_resnet152_v1d,1122.21,912.468,1024,224,60.21
467
volo_d1_224,1121.56,912.997,1024,224,26.63
468
swin_small_patch4_window7_224,1117.13,916.62,1024,224,49.61
469
regnety_040s_gn,1113.45,919.647,1024,224,20.65
470
inception_v4,1099.65,931.189,1024,299,42.68
471
vit_base_patch16_224_sam,1089.03,940.269,1024,224,86.57
472
xception41,1089.03,470.133,512,299,26.97
473
vit_base_patch16_224,1089.0,940.3,1024,224,86.57
474
deit_base_patch16_224,1088.05,941.117,1024,224,86.57
475
xcit_small_24_p16_224_dist,1079.16,948.867,1024,224,47.67
476
xcit_small_24_p16_224,1078.82,949.17,1024,224,47.67
477
densenet161,1076.84,950.914,1024,224,28.68
478
convmixer_1024_20_ks9_p14,1075.95,951.707,1024,224,24.38
479
nfnet_f0,1075.06,952.487,1024,256,71.49
480
deit_base_distilled_patch16_224,1073.74,953.659,1024,224,87.34
481
dla169,1071.22,955.906,1024,224,53.39
482
vgg19_bn,1060.19,482.919,512,224,143.68
483
cait_xxs36_224,1058.79,967.13,1024,224,17.3
484
tnt_s_patch16_224,1056.28,969.422,1024,224,23.76
485
legacy_seresnet152,1054.79,970.791,1024,224,66.82
486
gluon_resnet152_v1s,1052.41,972.991,1024,224,60.32
487
regnetx_120,1048.48,488.312,512,224,46.11
488
seresnet152,1033.07,991.203,1024,224,66.82
489
tresnet_xl,1032.49,991.76,1024,224,78.44
490
efficientnet_lite4,1029.33,373.047,384,380,13.01
491
beit_base_patch16_224,1003.86,1020.053,1024,224,86.53
492
regnety_120,1003.65,510.126,512,224,51.82
493
repvgg_b3g4,997.42,1026.637,1024,224,83.83
494
twins_pcpvt_large,995.78,1028.325,1024,224,60.99
495
convnext_base,984.44,1040.164,1024,224,88.59
496
convnext_base_in22ft1k,984.35,1040.256,1024,224,88.59
497
coat_tiny,976.27,1048.875,1024,224,5.5
498
tf_efficientnet_lite4,967.59,396.848,384,380,13.01
499
pit_b_224,954.91,536.164,512,224,73.76
500
dm_nfnet_f0,948.25,1079.874,1024,256,71.49
501
pit_b_distilled_224,947.46,540.381,512,224,74.79
502
vit_small_patch16_36x1_224,919.98,1113.057,1024,224,64.67
503
wide_resnet101_2,917.07,1116.581,1024,224,126.89
504
swin_v2_cr_small_224,915.96,1117.937,1024,224,49.7
505
dla102x2,910.31,562.434,512,224,41.28
506
resnetv2_50d_gn,909.47,1125.915,1024,288,25.57
507
efficientnetv2_s,905.47,1130.894,1024,384,21.46
508
vit_small_patch16_18x2_224,899.06,1138.948,1024,224,64.67
509
tf_efficientnetv2_s_in21ft1k,889.42,1151.294,1024,384,21.46
510
tf_efficientnetv2_s,889.32,1151.431,1024,384,21.46
511
xception65p,886.31,577.66,512,299,39.82
512
nest_small,881.75,580.652,512,224,38.35
513
twins_svt_large,880.33,1163.185,1024,224,99.27
514
repvgg_b3,878.37,1165.779,1024,224,123.09
515
resnetrs101,877.57,1166.842,1024,288,63.62
516
jx_nest_small,871.53,587.458,512,224,38.35
517
efficientnetv2_rw_s,866.51,1181.735,1024,384,23.94
518
dpn98,862.25,1187.578,1024,224,61.57
519
ens_adv_inception_resnet_v2,856.37,1195.737,1024,299,55.84
520
inception_resnet_v2,855.57,1196.844,1024,299,55.84
521
nf_regnet_b4,854.46,1198.403,1024,384,30.21
522
regnetz_b16_evos,853.4,599.942,512,288,9.74
523
regnetx_160,848.43,603.455,512,224,54.28
524
regnetz_d8,845.88,1210.552,1024,320,23.37
525
cait_s24_224,834.81,1226.608,1024,224,46.92
526
gluon_resnext101_64x4d,834.02,1227.777,1024,224,83.46
527
resnet200,828.19,1236.414,1024,224,64.67
528
regnetz_040,826.88,464.381,384,320,27.12
529
regnetz_040h,823.24,466.438,384,320,28.94
530
efficientnet_b4,820.41,468.046,384,384,19.34
531
swin_s3_small_224,817.53,626.263,512,224,49.74
532
hrnet_w40,816.49,1254.128,1024,224,57.56
533
poolformer_m36,815.39,1255.826,1024,224,56.17
534
swsl_resnext101_32x8d,805.27,1271.611,1024,224,88.79
535
regnety_064,803.23,637.411,512,288,30.58
536
ssl_resnext101_32x8d,802.86,1275.43,1024,224,88.79
537
xcit_tiny_24_p16_384_dist,802.73,1275.631,1024,384,12.12
538
ig_resnext101_32x8d,802.17,1276.521,1024,224,88.79
539
resnext101_32x8d,802.06,1276.704,1024,224,88.79
540
regnetv_064,800.43,639.64,512,288,30.58
541
resnetv2_50d_evos,798.97,640.813,512,288,25.59
542
gluon_xception65,797.15,642.277,512,299,39.92
543
resnet101d,796.13,1286.203,1024,320,44.57
544
xception65,795.21,643.84,512,299,39.92
545
resnest101e,791.92,646.513,512,256,48.28
546
swin_base_patch4_window7_224,791.65,1293.482,1024,224,87.77
547
gluon_seresnext101_64x4d,787.65,1300.055,1024,224,88.23
548
coat_mini,785.23,1304.064,1024,224,10.34
549
tf_efficientnet_b4_ap,782.92,490.459,384,380,19.34
550
tf_efficientnet_b4,782.13,490.953,384,380,19.34
551
tf_efficientnet_b4_ns,782.09,490.976,384,380,19.34
552
regnety_080,767.29,667.271,512,288,39.18
553
hrnet_w44,759.24,1348.7,1024,224,67.06
554
crossvit_base_240,756.03,677.208,512,240,105.03
555
xcit_medium_24_p16_224_dist,748.3,1368.42,1024,224,84.4
556
xcit_medium_24_p16_224,747.93,1369.089,1024,224,84.4
557
gmlp_b16_224,744.43,1375.538,1024,224,73.08
558
hrnet_w48,733.55,1395.939,1024,224,77.47
559
tresnet_m_448,727.54,1407.473,1024,448,31.39
560
vit_large_r50_s32_224,726.03,1410.402,1024,224,328.99
561
regnetz_d32,721.75,1418.755,1024,320,27.58
562
vit_small_patch16_384,684.33,748.167,512,384,22.2
563
tnt_b_patch16_224,677.0,1512.541,1024,224,65.41
564
xcit_small_12_p16_384_dist,675.76,1515.313,1024,384,26.25
565
convit_base,673.78,1519.763,1024,224,86.54
566
swin_s3_base_224,663.17,1544.087,1024,224,71.13
567
swin_v2_cr_base_224,651.94,1570.69,1024,224,87.88
568
densenet264d_iabn,647.21,1582.161,1024,224,72.74
569
efficientnet_b3_gn,646.96,395.683,256,320,11.73
570
dpn131,635.27,1611.889,1024,224,79.25
571
densenet264,628.46,1629.36,1024,224,72.69
572
nest_base,627.45,815.992,512,224,67.72
573
volo_d2_224,626.17,1635.329,1024,224,58.68
574
jx_nest_base,620.43,825.215,512,224,67.72
575
poolformer_m48,615.67,1663.217,1024,224,73.47
576
vit_small_r26_s32_384,611.26,628.196,384,384,36.47
577
xcit_nano_12_p8_384_dist,610.06,1678.498,1024,384,3.05
578
xcit_tiny_24_p8_224,603.0,1698.15,1024,224,12.11
579
xcit_tiny_24_p8_224_dist,602.22,1700.353,1024,224,12.11
580
xception71,600.16,853.086,512,299,42.34
581
hrnet_w64,599.02,1709.451,1024,224,128.06
582
vit_base_r50_s16_224,598.25,1711.642,1024,224,98.66
583
legacy_senet154,582.07,1759.212,1024,224,115.09
584
senet154,582.01,1759.392,1024,224,115.09
585
gluon_senet154,581.94,1759.609,1024,224,115.09
586
dpn107,578.97,1768.627,1024,224,86.92
587
eca_nfnet_l1,575.61,1778.965,1024,320,41.41
588
seresnet200d,562.84,1819.333,1024,256,71.86
589
resnet152d,561.29,1824.359,1024,320,60.21
590
ecaresnet200d,559.73,1829.437,1024,256,64.69
591
convnext_large_in22ft1k,546.71,936.5,512,224,197.77
592
convnext_large,546.09,937.561,512,224,197.77
593
regnetz_c16_evos,539.7,948.669,512,320,13.49
594
regnety_320,534.72,957.496,512,224,145.05
595
regnety_160,523.72,733.2,384,288,83.59
596
efficientnet_b3_g8_gn,520.23,492.079,256,320,14.25
597
xcit_small_12_p8_224,514.94,1988.547,1024,224,26.21
598
xcit_small_12_p8_224_dist,514.63,1989.761,1024,224,26.21
599
halonet_h1,507.89,504.03,256,256,8.1
600
resnext101_64x4d,505.79,1012.259,512,288,83.46
601
seresnet152d,503.07,2035.474,1024,320,66.84
602
resnetrs152,499.61,2049.599,1024,320,86.62
603
vit_large_patch32_384,494.68,2070.028,1024,384,306.63
604
regnetx_320,468.44,819.734,384,224,107.81
605
mixer_l16_224,464.51,2204.436,1024,224,208.2
606
seresnext101_32x8d,461.67,1109.006,512,288,93.57
607
swin_large_patch4_window7_224,454.97,1125.326,512,224,196.53
608
regnetz_e8,451.54,1133.877,512,320,57.7
609
efficientnetv2_m,442.19,2315.716,1024,416,54.14
610
seresnet269d,440.45,2324.895,1024,256,113.67
611
volo_d3_224,438.95,2332.847,1024,224,86.33
612
xcit_large_24_p16_224,432.87,2365.575,1024,224,189.1
613
xcit_large_24_p16_224_dist,432.7,2366.505,1024,224,189.1
614
efficientnet_b5,411.07,622.743,256,456,30.39
615
efficientnetv2_rw_m,406.88,1258.338,512,416,53.24
616
resnet200d,404.01,2534.588,1024,320,64.69
617
tf_efficientnet_b5,395.61,647.082,256,456,30.39
618
tf_efficientnet_b5_ap,395.52,647.242,256,456,30.39
619
tf_efficientnet_b5_ns,395.47,647.322,256,456,30.39
620
resnetv2_50x1_bitm,392.67,1303.884,512,448,25.55
621
xcit_tiny_12_p8_384_dist,390.32,2623.487,1024,384,6.71
622
swin_v2_cr_large_224,385.91,1326.718,512,224,196.68
623
swsl_resnext101_32x16d,375.78,1362.484,512,224,194.03
624
ig_resnext101_32x16d,373.86,1369.478,512,224,194.03
625
ssl_resnext101_32x16d,373.64,1370.28,512,224,194.03
626
regnetz_d8_evos,373.09,1372.306,512,320,23.46
627
swin_v2_cr_tiny_384,364.64,702.039,256,384,28.33
628
tresnet_l_448,361.5,2832.633,1024,448,55.99
629
convnext_xlarge_in22ft1k,360.86,1418.822,512,224,350.2
630
xcit_small_24_p16_384_dist,360.65,2839.301,1024,384,47.67
631
resnetrs200,358.31,2857.856,1024,320,93.21
632
nfnet_f1,357.09,2867.576,1024,320,132.63
633
vit_large_patch16_224,356.78,2870.107,1024,224,304.33
634
crossvit_15_dagger_408,354.9,721.306,256,408,28.5
635
vit_base_patch16_18x2_224,348.19,2940.87,1024,224,256.73
636
tf_efficientnetv2_m_in21ft1k,347.38,1473.892,512,480,54.14
637
tf_efficientnetv2_m,346.86,1476.074,512,480,54.14
638
dm_nfnet_f1,342.33,1495.606,512,320,132.63
639
convnext_base_384_in22ft1k,336.37,1141.59,384,384,88.59
640
beit_large_patch16_224,330.46,3098.668,1024,224,304.43
641
volo_d1_384,293.12,1746.724,512,384,26.78
642
convmixer_768_32,290.99,3518.992,1024,224,21.11
643
eca_nfnet_l2,282.42,1812.878,512,384,56.72
644
volo_d4_224,281.7,3635.003,1024,224,192.96
645
resnetv2_152x2_bit_teacher,280.73,1823.773,512,224,236.34
646
vit_base_patch16_384,280.43,1369.296,384,384,86.86
647
deit_base_patch16_384,280.4,1369.456,384,384,86.86
648
deit_base_distilled_patch16_384,276.56,1388.495,384,384,87.63
649
xcit_small_24_p8_224,269.73,3796.43,1024,224,47.63
650
tresnet_xl_448,269.71,1898.302,512,448,78.44
651
xcit_small_24_p8_224_dist,269.67,3797.157,1024,224,47.63
652
resnest200e,265.14,1931.055,512,320,70.2
653
cait_xxs24_384,264.07,3877.737,1024,384,12.03
654
vit_large_patch14_224,262.13,3906.369,1024,224,304.2
655
crossvit_18_dagger_408,260.17,983.968,256,408,44.61
656
xcit_medium_24_p16_384_dist,254.44,2012.271,512,384,84.4
657
nasnetalarge,254.21,1510.535,384,331,88.75
658
pnasnet5large,251.02,1529.719,384,331,86.06
659
resnetv2_101x1_bitm,246.55,2076.684,512,448,44.54
660
beit_base_patch16_384,241.2,1592.025,384,384,86.74
661
vit_large_r50_s32_384,240.58,1596.142,384,384,329.09
662
efficientnet_b6,239.36,534.745,128,528,43.04
663
ecaresnet269d,233.52,4385.094,1024,352,102.09
664
tf_efficientnet_b6_ns,231.37,553.209,128,528,43.04
665
tf_efficientnet_b6,231.23,553.545,128,528,43.04
666
tf_efficientnet_b6_ap,231.04,553.998,128,528,43.04
667
resnetrs270,227.52,4500.663,1024,352,129.86
668
swin_v2_cr_small_384,224.2,1141.845,256,384,49.7
669
swin_base_patch4_window12_384,211.77,906.647,192,384,87.9
670
resmlp_big_24_224,209.16,4895.869,1024,224,129.14
671
resmlp_big_24_distilled_224,208.94,4900.863,1024,224,129.14
672
resmlp_big_24_224_in22ft1k,208.92,4901.346,1024,224,129.14
673
xcit_tiny_24_p8_384_dist,204.37,5010.586,1024,384,12.11
674
nfnet_f2,200.76,5100.492,1024,352,193.78
675
tf_efficientnetv2_l,199.73,1922.595,384,480,118.52
676
efficientnetv2_l,198.4,2580.63,512,480,118.52
677
tf_efficientnetv2_l_in21ft1k,196.98,2599.257,512,480,118.52
678
dm_nfnet_f2,194.75,2628.942,512,352,193.78
679
xcit_medium_24_p8_224,189.81,2697.371,512,224,84.32
680
xcit_medium_24_p8_224_dist,189.81,2697.462,512,224,84.32
681
volo_d5_224,187.06,5474.175,1024,224,295.46
682
convnext_large_384_in22ft1k,186.8,1370.399,256,384,197.77
683
cait_xs24_384,184.72,2771.758,512,384,26.67
684
vit_base_patch8_224,183.25,1396.951,256,224,86.58
685
cait_xxs36_384,176.62,5797.903,1024,384,17.37
686
vit_base_r50_s16_384,174.09,2205.77,384,384,98.95
687
vit_base_resnet50_384,174.05,2206.21,384,384,98.95
688
xcit_small_12_p8_384_dist,173.11,2957.56,512,384,26.21
689
swin_v2_cr_huge_224,170.28,2255.094,384,224,657.83
690
convmixer_1536_20,167.4,6117.1,1024,224,51.63
691
volo_d2_384,164.47,2334.792,384,384,58.87
692
swin_v2_cr_base_384,160.01,1199.906,192,384,87.88
693
eca_nfnet_l3,159.42,3211.652,512,448,72.04
694
resnetrs350,151.88,3371.146,512,384,163.96
695
xcit_large_24_p16_384_dist,147.05,3481.712,512,384,189.1
696
ig_resnext101_32x32d,146.83,1743.474,256,224,468.53
697
cait_s24_384,142.26,3598.927,512,384,47.06
698
vit_huge_patch14_224,141.6,7231.567,1024,224,632.05
699
efficientnet_b7,139.66,687.357,96,600,66.35
700
tf_efficientnet_b7,135.86,706.608,96,600,66.35
701
tf_efficientnet_b7_ap,135.79,706.955,96,600,66.35
702
tf_efficientnet_b7_ns,135.74,707.2,96,600,66.35
703
efficientnetv2_xl,127.77,3005.388,384,512,208.12
704
tf_efficientnetv2_xl_in21ft1k,127.07,3021.991,384,512,208.12
705
swin_large_patch4_window12_384,125.28,1021.736,128,384,196.74
706
resnest269e,123.52,3108.719,384,416,110.93
707
convnext_xlarge_384_in22ft1k,123.3,1557.136,192,384,350.2
708
xcit_large_24_p8_224,110.05,4652.475,512,224,188.93
709
xcit_large_24_p8_224_dist,109.94,4656.907,512,224,188.93
710
nfnet_f3,109.46,4677.461,512,416,254.92
711
resnetrs420,108.78,4706.738,512,416,191.89
712
dm_nfnet_f3,98.93,5175.208,512,416,254.92
713
swin_v2_cr_large_384,98.1,1304.756,128,384,196.68
714
resnetv2_152x2_bit_teacher_384,97.22,2633.19,256,384,236.34
715
cait_s36_384,95.27,5374.225,512,384,68.37
716
vit_large_patch16_384,94.74,2702.22,256,384,304.72
717
resnetv2_50x3_bitm,94.62,1352.761,128,448,217.32
718
vit_giant_patch14_224,92.89,5511.692,512,224,1012.61
719
xcit_small_24_p8_384_dist,90.84,4227.257,384,384,47.63
720
ig_resnext101_32x48d,87.18,2202.253,192,224,828.41
721
efficientnet_b8,83.91,1144.078,96,672,87.41
722
beit_large_patch16_384,82.64,3097.749,256,384,305.0
723
tf_efficientnet_b8_ap,82.27,1166.925,96,672,87.41
724
tf_efficientnet_b8,82.25,1167.133,96,672,87.41
725
volo_d3_448,72.26,2657.14,192,448,86.63
726
resnetv2_152x2_bitm,71.6,2681.389,192,448,236.34
727
xcit_medium_24_p8_384_dist,64.15,3990.849,256,384,84.32
728
nfnet_f4,60.24,6374.659,384,512,316.07
729
dm_nfnet_f4,59.09,4332.344,256,512,316.07
730
resnetv2_101x3_bitm,58.2,2199.411,128,448,387.93
731
vit_gigantic_patch14_224,56.14,9120.818,512,224,1844.44
732
volo_d4_448,52.76,2425.859,128,448,193.41
733
swin_v2_cr_giant_224,49.04,2610.23,128,224,2598.76
734
tf_efficientnet_l2_ns_475,46.41,1378.993,64,475,480.31
735
nfnet_f5,44.14,5799.172,256,544,377.21
736
swin_v2_cr_huge_384,43.59,1468.203,64,384,657.94
737
dm_nfnet_f5,39.84,6426.216,256,544,377.21
738
xcit_large_24_p8_384_dist,36.78,5220.859,192,384,188.93
739
volo_d5_448,36.57,3500.029,128,448,295.91
740
nfnet_f6,34.59,7401.234,256,576,438.36
741
beit_large_patch16_512,33.3,2882.954,96,512,305.67
742
cait_m36_384,31.36,8162.98,256,384,271.22
743
dm_nfnet_f6,31.17,8214.193,256,576,438.36
744
nfnet_f7,26.91,9514.003,256,608,499.5
745
volo_d5_512,25.64,4991.614,128,512,296.09
746
resnetv2_152x4_bitm,18.58,3444.83,64,480,936.53
747
efficientnet_l2,16.55,1450.295,24,800,480.31
748
tf_efficientnet_l2_ns,16.36,1467.093,24,800,480.31
749
swin_v2_cr_giant_384,13.63,1760.856,24,384,2598.76
750
cait_m48_448,13.35,9584.614,128,448,356.46
751