pytorch-image-models/results/results-imagenet-a-clean.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation
2	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	98.930	1.070	99.910	0.090	305.08	448	1.000	bicubic
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	98.850	1.150	99.880	0.120	305.08	448	1.000	bicubic
4	eva02_large_patch14_448.mim_in22k_ft_in1k	98.840	1.160	99.830	0.170	305.08	448	1.000	bicubic
5	eva_giant_patch14_560.m30m_ft_in22k_in1k	98.830	1.170	99.900	0.100	1,014.45	560	1.000	bicubic
6	eva_giant_patch14_336.clip_ft_in1k	98.820	1.180	99.810	0.190	1,013.01	336	1.000	bicubic
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	98.810	1.190	99.900	0.100	1,013.01	336	1.000	bicubic
8	eva_large_patch14_336.in22k_ft_in22k_in1k	98.740	1.260	99.810	0.190	304.53	336	1.000	bicubic
9	eva_large_patch14_336.in22k_ft_in1k	98.730	1.270	99.870	0.130	304.53	336	1.000	bicubic
10	eva02_large_patch14_448.mim_m38m_ft_in1k	98.730	1.270	99.790	0.210	305.08	448	1.000	bicubic
11	convnextv2_huge.fcmae_ft_in22k_in1k_384	98.670	1.330	99.860	0.140	660.29	384	1.000	bicubic
12	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	98.640	1.360	99.800	0.200	87.12	448	1.000	bicubic
13	maxvit_base_tf_512.in21k_ft_in1k	98.620	1.380	99.800	0.200	119.88	512	1.000	bicubic
14	maxvit_xlarge_tf_512.in21k_ft_in1k	98.620	1.380	99.800	0.200	475.77	512	1.000	bicubic
15	maxvit_large_tf_512.in21k_ft_in1k	98.620	1.380	99.790	0.210	212.33	512	1.000	bicubic
16	convnextv2_huge.fcmae_ft_in22k_in1k_512	98.600	1.400	99.870	0.130	660.29	512	1.000	bicubic
17	beit_large_patch16_512.in22k_ft_in22k_in1k	98.560	1.440	99.840	0.160	305.67	512	1.000	bicubic
18	tf_efficientnet_l2.ns_jft_in1k	98.550	1.450	99.820	0.180	480.31	800	0.960	bicubic
19	beitv2_large_patch16_224.in1k_ft_in22k_in1k	98.540	1.460	99.760	0.240	304.43	224	0.950	bicubic
20	beit_large_patch16_384.in22k_ft_in22k_in1k	98.520	1.480	99.820	0.180	305.00	384	1.000	bicubic
21	maxvit_base_tf_384.in21k_ft_in1k	98.520	1.480	99.750	0.250	119.65	384	1.000	bicubic
22	tf_efficientnet_l2.ns_jft_in1k_475	98.500	1.500	99.830	0.170	480.31	475	0.936	bicubic
23	maxvit_xlarge_tf_384.in21k_ft_in1k	98.500	1.500	99.780	0.220	475.32	384	1.000	bicubic
24	maxvit_large_tf_384.in21k_ft_in1k	98.490	1.510	99.750	0.250	212.03	384	1.000	bicubic
25	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	98.480	1.520	99.780	0.220	200.13	384	1.000	bicubic
26	deit3_large_patch16_384.fb_in22k_ft_in1k	98.460	1.540	99.760	0.240	304.76	384	1.000	bicubic
27	eva_giant_patch14_224.clip_ft_in1k	98.460	1.540	99.750	0.250	1,012.56	224	0.900	bicubic
28	regnety_1280.swag_ft_in1k	98.450	1.550	99.870	0.130	644.81	384	1.000	bicubic
29	caformer_b36.sail_in22k_ft_in1k_384	98.450	1.550	99.810	0.190	98.75	384	1.000	bicubic
30	eva02_base_patch14_448.mim_in22k_ft_in1k	98.440	1.560	99.820	0.180	87.12	448	1.000	bicubic
31	convnext_xxlarge.clip_laion2b_soup_ft_in1k	98.440	1.560	99.800	0.200	846.47	256	1.000	bicubic
32	eva_large_patch14_196.in22k_ft_in22k_in1k	98.430	1.570	99.770	0.230	304.14	196	1.000	bicubic
33	convnext_xlarge.fb_in22k_ft_in1k_384	98.420	1.580	99.810	0.190	350.20	384	1.000	bicubic
34	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	98.420	1.580	99.810	0.190	632.46	336	1.000	bicubic
35	convnextv2_large.fcmae_ft_in22k_in1k_384	98.400	1.600	99.760	0.240	197.96	384	1.000	bicubic
36	eva_large_patch14_196.in22k_ft_in1k	98.360	1.640	99.820	0.180	304.14	196	1.000	bicubic
37	convnextv2_base.fcmae_ft_in22k_in1k_384	98.350	1.650	99.770	0.230	88.72	384	1.000	bicubic
38	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	98.340	1.660	99.760	0.240	304.53	336	1.000	bicubic
39	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	98.300	1.700	99.760	0.240	632.05	224	1.000	bicubic
40	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	98.280	1.720	99.770	0.230	200.13	320	1.000	bicubic
41	vit_large_patch14_clip_336.openai_ft_in12k_in1k	98.270	1.730	99.770	0.230	304.53	336	1.000	bicubic
42	convformer_b36.sail_in22k_ft_in1k_384	98.260	1.740	99.830	0.170	99.88	384	1.000	bicubic
43	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	98.260	1.740	99.780	0.220	116.09	384	1.000	bicubic
44	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	98.250	1.750	99.760	0.240	200.13	384	1.000	bicubic
45	convnext_large.fb_in22k_ft_in1k_384	98.240	1.760	99.750	0.250	197.77	384	1.000	bicubic
46	vit_large_patch16_384.augreg_in21k_ft_in1k	98.220	1.780	99.800	0.200	304.72	384	1.000	bicubic
47	vit_large_patch14_clip_224.openai_ft_in12k_in1k	98.220	1.780	99.720	0.280	304.20	224	1.000	bicubic
48	vit_large_patch14_clip_336.laion2b_ft_in1k	98.220	1.780	99.720	0.280	304.53	336	1.000	bicubic
49	vit_base_patch16_clip_384.openai_ft_in12k_in1k	98.190	1.810	99.660	0.340	86.86	384	0.950	bicubic
50	beit_large_patch16_224.in22k_ft_in22k_in1k	98.180	1.820	99.760	0.240	304.43	224	0.900	bicubic
51	deit3_large_patch16_224.fb_in22k_ft_in1k	98.170	1.830	99.760	0.240	304.37	224	1.000	bicubic
52	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	98.170	1.830	99.760	0.240	116.14	384	1.000	bicubic
53	deit3_huge_patch14_224.fb_in22k_ft_in1k	98.170	1.830	99.730	0.270	632.13	224	1.000	bicubic
54	vit_large_patch14_clip_224.openai_ft_in1k	98.170	1.830	99.660	0.340	304.20	224	1.000	bicubic
55	caformer_b36.sail_in22k_ft_in1k	98.160	1.840	99.780	0.220	98.75	224	1.000	bicubic
56	caformer_m36.sail_in22k_ft_in1k_384	98.150	1.850	99.750	0.250	56.20	384	1.000	bicubic
57	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	98.130	1.870	99.710	0.290	196.74	384	1.000	bicubic
58	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	98.120	1.880	99.780	0.220	87.92	384	1.000	bicubic
59	convnext_large.fb_in22k_ft_in1k	98.120	1.880	99.740	0.260	197.77	288	1.000	bicubic
60	convnext_xlarge.fb_in22k_ft_in1k	98.110	1.890	99.780	0.220	350.20	288	1.000	bicubic
61	convnextv2_large.fcmae_ft_in22k_in1k	98.090	1.910	99.770	0.230	197.96	288	1.000	bicubic
62	convnext_base.fb_in22k_ft_in1k_384	98.080	1.920	99.650	0.350	88.59	384	1.000	bicubic
63	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	98.070	1.930	99.760	0.240	304.20	224	1.000	bicubic
64	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	98.070	1.930	99.720	0.280	73.88	384	1.000	bicubic
65	regnety_320.swag_ft_in1k	98.060	1.940	99.860	0.140	145.05	384	1.000	bicubic
66	convnextv2_base.fcmae_ft_in22k_in1k	98.060	1.940	99.760	0.240	88.72	288	1.000	bicubic
67	swin_large_patch4_window12_384.ms_in22k_ft_in1k	98.050	1.950	99.690	0.310	196.74	384	1.000	bicubic
68	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	98.040	1.960	99.750	0.250	88.59	384	1.000	bicubic
69	convformer_m36.sail_in22k_ft_in1k_384	98.040	1.960	99.690	0.310	57.05	384	1.000	bicubic
70	vit_huge_patch14_clip_224.laion2b_ft_in1k	98.020	1.980	99.720	0.280	632.05	224	1.000	bicubic
71	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	97.990	2.010	99.660	0.340	86.86	384	1.000	bicubic
72	caformer_s36.sail_in22k_ft_in1k_384	97.970	2.030	99.720	0.280	39.30	384	1.000	bicubic
73	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	97.970	2.030	99.700	0.300	93.59	320	1.000	bicubic
74	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	97.950	2.050	99.710	0.290	200.13	256	1.000	bicubic
75	convformer_b36.sail_in22k_ft_in1k	97.940	2.060	99.760	0.240	99.88	224	1.000	bicubic
76	tf_efficientnet_b7.ns_jft_in1k	97.920	2.080	99.720	0.280	66.35	600	0.949	bicubic
77	beitv2_large_patch16_224.in1k_ft_in1k	97.910	2.090	99.660	0.340	304.43	224	0.950	bicubic
78	seresnextaa101d_32x8d.sw_in12k_ft_in1k	97.910	2.090	99.660	0.340	93.59	288	1.000	bicubic
79	swin_base_patch4_window12_384.ms_in22k_ft_in1k	97.900	2.100	99.710	0.290	87.90	384	1.000	bicubic
80	convnextv2_huge.fcmae_ft_in1k	97.900	2.100	99.670	0.330	660.29	288	1.000	bicubic
81	tf_efficientnetv2_xl.in21k_ft_in1k	97.900	2.100	99.570	0.430	208.12	512	1.000	bicubic
82	vit_large_patch14_clip_224.laion2b_ft_in1k	97.890	2.110	99.650	0.350	304.20	224	1.000	bicubic
83	convnext_base.fb_in22k_ft_in1k	97.860	2.140	99.680	0.320	88.59	288	1.000	bicubic
84	vit_large_r50_s32_384.augreg_in21k_ft_in1k	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
85	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	97.850	2.150	99.650	0.350	196.74	256	0.900	bicubic
86	convformer_s36.sail_in22k_ft_in1k_384	97.850	2.150	99.640	0.360	40.01	384	1.000	bicubic
87	deit3_base_patch16_384.fb_in22k_ft_in1k	97.840	2.160	99.680	0.320	86.88	384	1.000	bicubic
88	caformer_m36.sail_in22k_ft_in1k	97.840	2.160	99.670	0.330	56.20	224	1.000	bicubic
89	vit_base_patch16_384.augreg_in21k_ft_in1k	97.840	2.160	99.670	0.330	86.86	384	1.000	bicubic
90	maxvit_large_tf_512.in1k	97.830	2.170	99.560	0.440	212.33	512	1.000	bicubic
91	beit_base_patch16_384.in22k_ft_in22k_in1k	97.820	2.180	99.700	0.300	86.74	384	1.000	bicubic
92	tf_efficientnetv2_m.in21k_ft_in1k	97.820	2.180	99.600	0.400	54.14	480	1.000	bicubic
93	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	97.810	2.190	99.650	0.350	116.14	224	0.950	bicubic
94	tf_efficientnetv2_l.in21k_ft_in1k	97.800	2.200	99.770	0.230	118.52	480	1.000	bicubic
95	convnext_small.in12k_ft_in1k_384	97.800	2.200	99.660	0.340	50.22	384	1.000	bicubic
96	regnety_160.swag_ft_in1k	97.780	2.220	99.760	0.240	83.59	384	1.000	bicubic
97	dm_nfnet_f6.dm_in1k	97.780	2.220	99.650	0.350	438.36	576	0.956	bicubic
98	dm_nfnet_f5.dm_in1k	97.780	2.220	99.600	0.400	377.21	544	0.954	bicubic
99	volo_d5_512.sail_in1k	97.770	2.230	99.670	0.330	296.09	512	1.150	bicubic
100	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	97.760	2.240	99.700	0.300	116.09	224	0.950	bicubic
101	volo_d5_448.sail_in1k	97.750	2.250	99.620	0.380	295.91	448	1.150	bicubic
102	maxvit_small_tf_512.in1k	97.750	2.250	99.550	0.450	69.13	512	1.000	bicubic
103	maxvit_base_tf_512.in1k	97.730	2.270	99.610	0.390	119.88	512	1.000	bicubic
104	vit_base_patch16_clip_384.laion2b_ft_in1k	97.720	2.280	99.630	0.370	86.86	384	1.000	bicubic
105	beitv2_base_patch16_224.in1k_ft_in22k_in1k	97.690	2.310	99.680	0.320	86.53	224	0.900	bicubic
106	vit_base_patch8_224.augreg2_in21k_ft_in1k	97.690	2.310	99.650	0.350	86.58	224	0.900	bicubic
107	volo_d4_448.sail_in1k	97.670	2.330	99.610	0.390	193.41	448	1.150	bicubic
108	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	97.660	2.340	99.720	0.280	87.92	256	0.900	bicubic
109	convnextv2_large.fcmae_ft_in1k	97.660	2.340	99.610	0.390	197.96	288	1.000	bicubic
110	regnety_1280.swag_lc_in1k	97.650	2.350	99.640	0.360	644.81	224	0.965	bicubic
111	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	97.650	2.350	99.570	0.430	73.88	224	0.950	bicubic
112	swin_large_patch4_window7_224.ms_in22k_ft_in1k	97.650	2.350	99.570	0.430	196.53	224	0.900	bicubic
113	dm_nfnet_f4.dm_in1k	97.640	2.360	99.540	0.460	316.07	512	0.951	bicubic
114	vit_large_patch16_224.augreg_in21k_ft_in1k	97.630	2.370	99.590	0.410	304.33	224	0.900	bicubic
115	tf_efficientnet_b6.ns_jft_in1k	97.620	2.380	99.580	0.420	43.04	528	0.942	bicubic
116	convnext_base.clip_laiona_augreg_ft_in1k_384	97.620	2.380	99.550	0.450	88.59	384	1.000	bicubic
117	convnext_small.fb_in22k_ft_in1k_384	97.610	2.390	99.600	0.400	50.22	384	1.000	bicubic
118	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	97.600	2.400	99.720	0.280	88.59	256	1.000	bicubic
119	convformer_m36.sail_in22k_ft_in1k	97.600	2.400	99.620	0.380	57.05	224	1.000	bicubic
120	caformer_s36.sail_in22k_ft_in1k	97.600	2.400	99.610	0.390	39.30	224	1.000	bicubic
121	maxvit_tiny_tf_512.in1k	97.580	2.420	99.560	0.440	31.05	512	1.000	bicubic
122	vit_base_patch8_224.augreg_in21k_ft_in1k	97.570	2.430	99.670	0.330	86.58	224	0.900	bicubic
123	maxvit_base_tf_384.in1k	97.570	2.430	99.590	0.410	119.65	384	1.000	bicubic
124	maxvit_large_tf_384.in1k	97.570	2.430	99.530	0.470	212.03	384	1.000	bicubic
125	volo_d3_448.sail_in1k	97.550	2.450	99.560	0.440	86.63	448	1.000	bicubic
126	vit_base_patch16_clip_384.openai_ft_in1k	97.540	2.460	99.660	0.340	86.86	384	1.000	bicubic
127	convformer_b36.sail_in1k_384	97.530	2.470	99.520	0.480	99.88	384	1.000	bicubic
128	vit_base_patch16_clip_224.openai_ft_in12k_in1k	97.530	2.470	99.500	0.500	86.57	224	0.950	bicubic
129	coatnet_2_rw_224.sw_in12k_ft_in1k	97.520	2.480	99.600	0.400	73.87	224	0.950	bicubic
130	xcit_large_24_p8_384.fb_dist_in1k	97.520	2.480	99.540	0.460	188.93	384	1.000	bicubic
131	xcit_large_24_p16_384.fb_dist_in1k	97.520	2.480	99.480	0.520	189.10	384	1.000	bicubic
132	tf_efficientnet_b5.ns_jft_in1k	97.500	2.500	99.640	0.360	30.39	456	0.934	bicubic
133	caformer_b36.sail_in1k_384	97.500	2.500	99.580	0.420	98.75	384	1.000	bicubic
134	resnetv2_152x4_bit.goog_in21k_ft_in1k	97.490	2.510	99.610	0.390	936.53	480	1.000	bilinear
135	deit3_base_patch16_224.fb_in22k_ft_in1k	97.480	2.520	99.600	0.400	86.59	224	1.000	bicubic
136	cait_m48_448.fb_dist_in1k	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
137	dm_nfnet_f3.dm_in1k	97.470	2.530	99.560	0.440	254.92	416	0.940	bicubic
138	tf_efficientnetv2_l.in1k	97.470	2.530	99.530	0.470	118.52	480	1.000	bicubic
139	regnety_160.lion_in12k_ft_in1k	97.450	2.550	99.600	0.400	83.59	288	1.000	bicubic
140	regnety_160.sw_in12k_ft_in1k	97.450	2.550	99.590	0.410	83.59	288	1.000	bicubic
141	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	97.450	2.550	99.540	0.460	86.57	224	0.950	bicubic
142	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	97.440	2.560	99.640	0.360	39.03	384	0.950	bicubic
143	caformer_m36.sail_in1k_384	97.440	2.560	99.600	0.400	56.20	384	1.000	bicubic
144	maxvit_small_tf_384.in1k	97.430	2.570	99.510	0.490	69.02	384	1.000	bicubic
145	deit3_large_patch16_384.fb_in1k	97.420	2.580	99.620	0.380	304.76	384	1.000	bicubic
146	caformer_s18.sail_in22k_ft_in1k_384	97.420	2.580	99.570	0.430	26.34	384	1.000	bicubic
147	flexivit_large.1200ep_in1k	97.410	2.590	99.600	0.400	304.36	240	0.950	bicubic
148	efficientnet_b5.sw_in12k_ft_in1k	97.410	2.590	99.550	0.450	30.39	448	1.000	bicubic
149	convformer_m36.sail_in1k_384	97.410	2.590	99.470	0.530	57.05	384	1.000	bicubic
150	cait_m36_384.fb_dist_in1k	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
151	caformer_s36.sail_in1k_384	97.390	2.610	99.540	0.460	39.30	384	1.000	bicubic
152	volo_d5_224.sail_in1k	97.380	2.620	99.570	0.430	295.46	224	0.960	bicubic
153	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	97.370	2.630	99.680	0.320	468.53	224	0.875	bilinear
154	convnext_small.fb_in22k_ft_in1k	97.360	2.640	99.530	0.470	50.22	288	1.000	bicubic
155	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	97.360	2.640	99.520	0.480	88.30	384	1.000	bicubic
156	convnext_small.in12k_ft_in1k	97.350	2.650	99.580	0.420	50.22	288	1.000	bicubic
157	convnext_tiny.in12k_ft_in1k_384	97.340	2.660	99.600	0.400	28.59	384	1.000	bicubic
158	cait_s36_384.fb_dist_in1k	97.330	2.670	99.540	0.460	68.37	384	1.000	bicubic
159	volo_d2_384.sail_in1k	97.320	2.680	99.600	0.400	58.87	384	1.000	bicubic
160	maxvit_tiny_tf_384.in1k	97.310	2.690	99.500	0.500	30.98	384	1.000	bicubic
161	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	97.310	2.690	99.480	0.520	88.34	448	1.000	bicubic
162	flexivit_large.600ep_in1k	97.280	2.720	99.590	0.410	304.36	240	0.950	bicubic
163	swin_base_patch4_window7_224.ms_in22k_ft_in1k	97.280	2.720	99.540	0.460	87.77	224	0.900	bicubic
164	regnety_120.sw_in12k_ft_in1k	97.280	2.720	99.530	0.470	51.82	288	1.000	bicubic
165	volo_d4_224.sail_in1k	97.280	2.720	99.520	0.480	192.96	224	0.960	bicubic
166	xcit_medium_24_p8_384.fb_dist_in1k	97.280	2.720	99.510	0.490	84.32	384	1.000	bicubic
167	xcit_medium_24_p16_384.fb_dist_in1k	97.280	2.720	99.470	0.530	84.40	384	1.000	bicubic
168	convformer_s36.sail_in1k_384	97.280	2.720	99.430	0.570	40.01	384	1.000	bicubic
169	convformer_s18.sail_in22k_ft_in1k_384	97.270	2.730	99.550	0.450	26.77	384	1.000	bicubic
170	flexivit_large.300ep_in1k	97.250	2.750	99.490	0.510	304.36	240	0.950	bicubic
171	xcit_small_24_p8_384.fb_dist_in1k	97.240	2.760	99.610	0.390	47.63	384	1.000	bicubic
172	convnext_base.clip_laion2b_augreg_ft_in1k	97.240	2.760	99.550	0.450	88.59	256	1.000	bicubic
173	convnextv2_tiny.fcmae_ft_in22k_in1k_384	97.240	2.760	99.520	0.480	28.64	384	1.000	bicubic
174	xcit_small_12_p8_384.fb_dist_in1k	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
175	convnextv2_base.fcmae_ft_in1k	97.220	2.780	99.540	0.460	88.72	288	1.000	bicubic
176	regnety_2560.seer_ft_in1k	97.220	2.780	99.520	0.480	1,282.60	384	1.000	bicubic
177	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	97.210	2.790	99.570	0.430	88.79	224	0.875	bilinear
178	tf_efficientnetv2_m.in1k	97.210	2.790	99.530	0.470	54.14	480	1.000	bicubic
179	regnetz_e8.ra3_in1k	97.200	2.800	99.500	0.500	57.70	320	1.000	bicubic
180	tf_efficientnet_b8.ra_in1k	97.200	2.800	99.500	0.500	87.41	672	0.954	bicubic
181	vit_base_r50_s16_384.orig_in21k_ft_in1k	97.190	2.810	99.560	0.440	98.95	384	1.000	bicubic
182	tf_efficientnet_b7.ap_in1k	97.190	2.810	99.540	0.460	66.35	600	0.949	bicubic
183	beitv2_base_patch16_224.in1k_ft_in1k	97.170	2.830	99.470	0.530	86.53	224	0.900	bicubic
184	regnety_320.swag_lc_in1k	97.160	2.840	99.670	0.330	145.05	224	0.965	bicubic
185	vit_base_patch16_224.augreg2_in21k_ft_in1k	97.150	2.850	99.540	0.460	86.57	224	0.900	bicubic
186	coat_lite_medium_384.in1k	97.150	2.850	99.450	0.550	44.57	384	1.000	bicubic
187	eva02_small_patch14_336.mim_in22k_ft_in1k	97.140	2.860	99.470	0.530	22.13	336	1.000	bicubic
188	deit3_small_patch16_384.fb_in22k_ft_in1k	97.130	2.870	99.500	0.500	22.21	384	1.000	bicubic
189	vit_base_patch16_clip_224.laion2b_ft_in1k	97.130	2.870	99.460	0.540	86.57	224	1.000	bicubic
190	xcit_small_24_p16_384.fb_dist_in1k	97.120	2.880	99.450	0.550	47.67	384	1.000	bicubic
191	tf_efficientnet_b8.ap_in1k	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
192	vit_base_patch32_clip_384.openai_ft_in12k_in1k	97.110	2.890	99.500	0.500	88.30	384	0.950	bicubic
193	dm_nfnet_f2.dm_in1k	97.100	2.900	99.510	0.490	193.78	352	0.920	bicubic
194	convnext_large.fb_in1k	97.100	2.900	99.450	0.550	197.77	288	1.000	bicubic
195	volo_d3_224.sail_in1k	97.090	2.910	99.460	0.540	86.33	224	0.960	bicubic
196	beit_base_patch16_224.in22k_ft_in22k_in1k	97.080	2.920	99.610	0.390	86.53	224	0.900	bicubic
197	tf_efficientnet_b6.ap_in1k	97.080	2.920	99.610	0.390	43.04	528	0.942	bicubic
198	convformer_s36.sail_in22k_ft_in1k	97.080	2.920	99.560	0.440	40.01	224	1.000	bicubic
199	convnext_tiny.fb_in22k_ft_in1k_384	97.080	2.920	99.510	0.490	28.59	384	1.000	bicubic
200	eca_nfnet_l2.ra3_in1k	97.080	2.920	99.510	0.490	56.72	384	1.000	bicubic
201	vit_base_patch16_clip_224.openai_ft_in1k	97.080	2.920	99.490	0.510	86.57	224	0.900	bicubic
202	ecaresnet269d.ra2_in1k	97.080	2.920	99.470	0.530	102.09	352	1.000	bicubic
203	caformer_s18.sail_in1k_384	97.080	2.920	99.420	0.580	26.34	384	1.000	bicubic
204	cait_s24_384.fb_dist_in1k	97.070	2.930	99.430	0.570	47.06	384	1.000	bicubic
205	xcit_large_24_p8_224.fb_dist_in1k	97.070	2.930	99.420	0.580	188.93	224	1.000	bicubic
206	convnext_tiny.in12k_ft_in1k	97.060	2.940	99.550	0.450	28.59	288	1.000	bicubic
207	convformer_s18.sail_in1k_384	97.040	2.960	99.380	0.620	26.77	384	1.000	bicubic
208	hrnet_w48_ssld.paddle_in1k	97.030	2.970	99.640	0.360	77.47	288	1.000	bilinear
209	deit3_base_patch16_384.fb_in1k	97.030	2.970	99.390	0.610	86.88	384	1.000	bicubic
210	dm_nfnet_f1.dm_in1k	97.030	2.970	99.390	0.610	132.63	320	0.910	bicubic
211	tf_efficientnet_b7.ra_in1k	97.010	2.990	99.520	0.480	66.35	600	0.949	bicubic
212	resnetv2_152x2_bit.goog_in21k_ft_in1k	97.000	3.000	99.590	0.410	236.34	448	1.000	bilinear
213	volo_d2_224.sail_in1k	97.000	3.000	99.390	0.610	58.68	224	0.960	bicubic
214	caformer_b36.sail_in1k	96.990	3.010	99.340	0.660	98.75	224	1.000	bicubic
215	efficientnetv2_rw_m.agc_in1k	96.980	3.020	99.530	0.470	53.24	416	1.000	bicubic
216	resnetv2_101x3_bit.goog_in21k_ft_in1k	96.980	3.020	99.490	0.510	387.93	448	1.000	bilinear
217	deit3_medium_patch16_224.fb_in22k_ft_in1k	96.970	3.030	99.430	0.570	38.85	224	1.000	bicubic
218	deit_base_distilled_patch16_384.fb_in1k	96.960	3.040	99.480	0.520	87.63	384	1.000	bicubic
219	seresnextaa101d_32x8d.ah_in1k	96.960	3.040	99.390	0.610	93.59	288	1.000	bicubic
220	maxvit_large_tf_224.in1k	96.960	3.040	99.250	0.750	211.79	224	0.950	bicubic
221	tf_efficientnet_b4.ns_jft_in1k	96.950	3.050	99.580	0.420	19.34	380	0.922	bicubic
222	maxvit_base_tf_224.in1k	96.950	3.050	99.260	0.740	119.47	224	0.950	bicubic
223	deit3_large_patch16_224.fb_in1k	96.940	3.060	99.340	0.660	304.37	224	0.900	bicubic
224	davit_base.msft_in1k	96.940	3.060	99.260	0.740	87.95	224	0.950	bicubic
225	mvitv2_large.fb_in1k	96.930	3.070	99.400	0.600	217.99	224	0.900	bicubic
226	xcit_small_12_p16_384.fb_dist_in1k	96.920	3.080	99.400	0.600	26.25	384	1.000	bicubic
227	xcit_medium_24_p8_224.fb_dist_in1k	96.920	3.080	99.390	0.610	84.32	224	1.000	bicubic
228	volo_d1_384.sail_in1k	96.910	3.090	99.520	0.480	26.78	384	1.000	bicubic
229	resnetrs420.tf_in1k	96.910	3.090	99.460	0.540	191.89	416	1.000	bicubic
230	deit3_huge_patch14_224.fb_in1k	96.900	3.100	99.480	0.520	632.13	224	0.900	bicubic
231	convformer_b36.sail_in1k	96.900	3.100	99.220	0.780	99.88	224	1.000	bicubic
232	vit_base_patch16_224.augreg_in21k_ft_in1k	96.890	3.110	99.530	0.470	86.57	224	0.900	bicubic
233	caformer_m36.sail_in1k	96.890	3.110	99.430	0.570	56.20	224	1.000	bicubic
234	xcit_small_24_p8_224.fb_dist_in1k	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
235	regnety_1280.seer_ft_in1k	96.860	3.140	99.390	0.610	644.81	384	1.000	bicubic
236	convnextv2_tiny.fcmae_ft_in22k_in1k	96.850	3.150	99.460	0.540	28.64	288	1.000	bicubic
237	regnety_640.seer_ft_in1k	96.850	3.150	99.420	0.580	281.38	384	1.000	bicubic
238	rexnetr_300.sw_in12k_ft_in1k	96.840	3.160	99.510	0.490	34.81	288	1.000	bicubic
239	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	96.830	3.170	99.450	0.550	236.34	384	1.000	bicubic
240	convnext_base.fb_in1k	96.830	3.170	99.410	0.590	88.59	288	1.000	bicubic
241	regnety_160.swag_lc_in1k	96.820	3.180	99.650	0.350	83.59	224	0.965	bicubic
242	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	96.810	3.190	99.600	0.400	194.03	224	0.875	bilinear
243	maxxvit_rmlp_small_rw_256.sw_in1k	96.800	3.200	99.380	0.620	66.01	256	0.950	bicubic
244	xcit_large_24_p16_224.fb_dist_in1k	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
245	vit_large_r50_s32_224.augreg_in21k_ft_in1k	96.790	3.210	99.340	0.660	328.99	224	0.900	bicubic
246	seresnet152d.ra2_in1k	96.770	3.230	99.440	0.560	66.84	320	1.000	bicubic
247	seresnext101_32x8d.ah_in1k	96.770	3.230	99.350	0.650	93.57	288	1.000	bicubic
248	mvitv2_base.fb_in1k	96.760	3.240	99.260	0.740	51.47	224	0.900	bicubic
249	resnetrs350.tf_in1k	96.750	3.250	99.370	0.630	163.96	384	1.000	bicubic
250	swinv2_base_window16_256.ms_in1k	96.750	3.250	99.350	0.650	87.92	256	0.900	bicubic
251	flexivit_base.1200ep_in1k	96.740	3.260	99.360	0.640	86.59	240	0.950	bicubic
252	edgenext_base.in21k_ft_in1k	96.730	3.270	99.420	0.580	18.51	320	1.000	bicubic
253	tf_efficientnetv2_s.in21k_ft_in1k	96.730	3.270	99.420	0.580	21.46	384	1.000	bicubic
254	resnet200d.ra2_in1k	96.730	3.270	99.330	0.670	64.69	320	1.000	bicubic
255	vit_base_patch16_384.orig_in21k_ft_in1k	96.720	3.280	99.500	0.500	86.86	384	1.000	bicubic
256	regnetz_040.ra3_in1k	96.720	3.280	99.480	0.520	27.12	320	1.000	bicubic
257	resnetv2_50x3_bit.goog_in21k_ft_in1k	96.710	3.290	99.550	0.450	217.32	448	1.000	bilinear
258	caformer_s18.sail_in22k_ft_in1k	96.710	3.290	99.480	0.520	26.34	224	1.000	bicubic
259	regnetz_040_h.ra3_in1k	96.700	3.300	99.500	0.500	28.94	320	1.000	bicubic
260	vit_small_patch16_384.augreg_in21k_ft_in1k	96.700	3.300	99.480	0.520	22.20	384	1.000	bicubic
261	edgenext_base.usi_in1k	96.700	3.300	99.430	0.570	18.51	320	1.000	bicubic
262	xcit_small_12_p8_224.fb_dist_in1k	96.700	3.300	99.380	0.620	26.21	224	1.000	bicubic
263	resnetrs200.tf_in1k	96.700	3.300	99.370	0.630	93.21	320	1.000	bicubic
264	resnetaa101d.sw_in12k_ft_in1k	96.700	3.300	99.360	0.640	44.57	288	1.000	bicubic
265	seresnext101d_32x8d.ah_in1k	96.700	3.300	99.360	0.640	93.59	288	1.000	bicubic
266	eca_nfnet_l1.ra2_in1k	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
267	caformer_s36.sail_in1k	96.690	3.310	99.360	0.640	39.30	224	1.000	bicubic
268	maxvit_small_tf_224.in1k	96.690	3.310	99.360	0.640	68.93	224	0.950	bicubic
269	resnetrs270.tf_in1k	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
270	vit_small_r26_s32_384.augreg_in21k_ft_in1k	96.680	3.320	99.580	0.420	36.47	384	1.000	bicubic
271	tf_efficientnet_b5.ap_in1k	96.680	3.320	99.460	0.540	30.39	456	0.934	bicubic
272	convformer_m36.sail_in1k	96.680	3.320	99.080	0.920	57.05	224	1.000	bicubic
273	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	96.670	3.330	99.490	0.510	38.86	256	0.950	bicubic
274	tf_efficientnet_b6.aa_in1k	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
275	deit3_small_patch16_224.fb_in22k_ft_in1k	96.660	3.340	99.330	0.670	22.06	224	1.000	bicubic
276	flexivit_base.600ep_in1k	96.650	3.350	99.330	0.670	86.59	240	0.950	bicubic
277	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	96.640	3.360	99.160	0.840	41.72	224	0.950	bicubic
278	davit_small.msft_in1k	96.630	3.370	99.350	0.650	49.75	224	0.950	bicubic
279	convformer_s18.sail_in22k_ft_in1k	96.630	3.370	99.340	0.660	26.77	224	1.000	bicubic
280	resmlp_big_24_224.fb_in22k_ft_in1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
281	regnetz_d8.ra3_in1k	96.620	3.380	99.450	0.550	23.37	320	1.000	bicubic
282	flexivit_base.300ep_in1k	96.620	3.380	99.270	0.730	86.59	240	0.950	bicubic
283	resnest200e.in1k	96.610	3.390	99.350	0.650	70.20	320	0.909	bicubic
284	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	96.600	3.400	99.530	0.470	194.03	224	0.875	bilinear
285	xcit_medium_24_p16_224.fb_dist_in1k	96.600	3.400	99.270	0.730	84.40	224	1.000	bicubic
286	regnetz_d32.ra3_in1k	96.590	3.410	99.380	0.620	27.58	320	0.950	bicubic
287	swin_base_patch4_window12_384.ms_in1k	96.580	3.420	99.250	0.750	87.90	384	1.000	bicubic
288	resnetrs152.tf_in1k	96.580	3.420	99.240	0.760	86.62	320	1.000	bicubic
289	convformer_s36.sail_in1k	96.580	3.420	99.170	0.830	40.01	224	1.000	bicubic
290	maxvit_rmlp_small_rw_224.sw_in1k	96.580	3.420	99.120	0.880	64.90	224	0.900	bicubic
291	regnetz_d8_evos.ch_in1k	96.570	3.430	99.460	0.540	23.46	320	1.000	bicubic
292	gcvit_base.in1k	96.570	3.430	99.230	0.770	90.32	224	0.875	bicubic
293	focalnet_base_srf.ms_in1k	96.560	3.440	99.140	0.860	88.15	224	0.900	bicubic
294	cait_xs24_384.fb_dist_in1k	96.540	3.460	99.420	0.580	26.67	384	1.000	bicubic
295	efficientnetv2_rw_s.ra2_in1k	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
296	tf_efficientnet_b7.aa_in1k	96.540	3.460	99.300	0.700	66.35	600	0.949	bicubic
297	crossvit_18_dagger_408.in1k	96.540	3.460	99.260	0.740	44.61	408	1.000	bicubic
298	coatnet_rmlp_2_rw_224.sw_in1k	96.540	3.460	99.100	0.900	73.88	224	0.950	bicubic
299	xcit_tiny_24_p8_384.fb_dist_in1k	96.530	3.470	99.320	0.680	12.11	384	1.000	bicubic
300	swinv2_base_window8_256.ms_in1k	96.530	3.470	99.270	0.730	87.92	256	0.900	bicubic
301	convnext_small.fb_in1k	96.520	3.480	99.340	0.660	50.22	288	1.000	bicubic
302	regnety_080.ra3_in1k	96.520	3.480	99.320	0.680	39.18	288	1.000	bicubic
303	resnest269e.in1k	96.510	3.490	99.350	0.650	110.93	416	0.928	bicubic
304	vit_base_patch32_384.augreg_in21k_ft_in1k	96.490	3.510	99.410	0.590	88.30	384	1.000	bicubic
305	swin_small_patch4_window7_224.ms_in22k_ft_in1k	96.480	3.520	99.390	0.610	49.61	224	0.900	bicubic
306	tf_efficientnet_b5.aa_in1k	96.470	3.530	99.240	0.760	30.39	456	0.934	bicubic
307	swinv2_small_window16_256.ms_in1k	96.470	3.530	99.200	0.800	49.73	256	0.900	bicubic
308	coat_lite_medium.in1k	96.470	3.530	99.150	0.850	44.57	224	0.900	bicubic
309	cs3se_edgenet_x.c2ns_in1k	96.450	3.550	99.400	0.600	50.72	320	1.000	bicubic
310	resmlp_big_24_224.fb_distilled_in1k	96.450	3.550	99.310	0.690	129.14	224	0.875	bicubic
311	vit_base_patch16_224_miil.in21k_ft_in1k	96.450	3.550	99.300	0.700	86.54	224	0.875	bilinear
312	focalnet_base_lrf.ms_in1k	96.450	3.550	99.120	0.880	88.75	224	0.900	bicubic
313	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	96.420	3.580	99.470	0.530	44.18	224	0.875	bilinear
314	maxvit_rmlp_tiny_rw_256.sw_in1k	96.420	3.580	99.380	0.620	29.15	256	0.950	bicubic
315	cait_s24_224.fb_dist_in1k	96.420	3.580	99.150	0.850	46.92	224	1.000	bicubic
316	regnetv_064.ra3_in1k	96.410	3.590	99.360	0.640	30.58	288	1.000	bicubic
317	xcit_small_24_p8_224.fb_in1k	96.410	3.590	99.150	0.850	47.63	224	1.000	bicubic
318	xcit_large_24_p8_224.fb_in1k	96.400	3.600	98.990	1.010	188.93	224	1.000	bicubic
319	resnet152d.ra2_in1k	96.390	3.610	99.390	0.610	60.21	320	1.000	bicubic
320	tf_efficientnet_b3.ns_jft_in1k	96.390	3.610	99.350	0.650	12.23	300	0.904	bicubic
321	crossvit_15_dagger_408.in1k	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
322	convnextv2_nano.fcmae_ft_in22k_in1k_384	96.370	3.630	99.400	0.600	15.62	384	1.000	bicubic
323	mvitv2_small.fb_in1k	96.370	3.630	99.200	0.800	34.87	224	0.900	bicubic
324	xception65.ra3_in1k	96.360	3.640	99.240	0.760	39.92	299	0.940	bicubic
325	regnety_064.ra3_in1k	96.360	3.640	99.230	0.770	30.58	288	1.000	bicubic
326	pvt_v2_b5.in1k	96.360	3.640	99.170	0.830	81.96	224	0.900	bicubic
327	regnety_160.deit_in1k	96.350	3.650	99.330	0.670	83.59	288	1.000	bicubic
328	pvt_v2_b4.in1k	96.350	3.650	99.180	0.820	62.56	224	0.900	bicubic
329	tf_efficientnetv2_s.in1k	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
330	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	96.330	3.670	99.430	0.570	88.79	224	0.875	bilinear
331	regnety_320.seer_ft_in1k	96.330	3.670	99.350	0.650	145.05	384	1.000	bicubic
332	tf_efficientnet_b5.ra_in1k	96.330	3.670	99.310	0.690	30.39	456	0.934	bicubic
333	volo_d1_224.sail_in1k	96.320	3.680	99.310	0.690	26.63	224	0.960	bicubic
334	dm_nfnet_f0.dm_in1k	96.310	3.690	99.320	0.680	71.49	256	0.900	bicubic
335	deit3_base_patch16_224.fb_in1k	96.300	3.700	99.180	0.820	86.59	224	0.900	bicubic
336	resnet101d.ra2_in1k	96.290	3.710	99.230	0.770	44.57	320	1.000	bicubic
337	gcvit_small.in1k	96.280	3.720	99.140	0.860	51.09	224	0.875	bicubic
338	swinv2_small_window8_256.ms_in1k	96.270	3.730	99.210	0.790	49.73	256	0.900	bicubic
339	twins_svt_large.in1k	96.250	3.750	99.170	0.830	99.27	224	0.900	bicubic
340	nest_base_jx.goog_in1k	96.240	3.760	99.200	0.800	67.72	224	0.875	bicubic
341	swin_s3_base_224.ms_in1k	96.240	3.760	99.150	0.850	71.13	224	0.900	bicubic
342	maxvit_tiny_rw_224.sw_in1k	96.240	3.760	99.130	0.870	29.06	224	0.950	bicubic
343	pit_b_distilled_224.in1k	96.230	3.770	99.110	0.890	74.79	224	0.900	bicubic
344	swin_s3_small_224.ms_in1k	96.230	3.770	99.080	0.920	49.74	224	0.900	bicubic
345	ecaresnet101d.miil_in1k	96.220	3.780	99.310	0.690	44.57	288	0.950	bicubic
346	rexnetr_200.sw_in12k_ft_in1k	96.220	3.780	99.260	0.740	16.52	288	1.000	bicubic
347	tf_efficientnetv2_b3.in21k_ft_in1k	96.220	3.780	99.230	0.770	14.36	300	0.900	bicubic
348	xcit_small_24_p16_224.fb_dist_in1k	96.220	3.780	99.210	0.790	47.67	224	1.000	bicubic
349	xception65p.ra3_in1k	96.210	3.790	99.180	0.820	39.82	299	0.940	bicubic
350	deit3_small_patch16_384.fb_in1k	96.200	3.800	99.300	0.700	22.21	384	1.000	bicubic
351	resnet152.a1h_in1k	96.200	3.800	99.220	0.780	60.19	288	1.000	bicubic
352	regnetv_040.ra3_in1k	96.190	3.810	99.330	0.670	20.64	288	1.000	bicubic
353	convnextv2_tiny.fcmae_ft_in1k	96.190	3.810	99.250	0.750	28.64	288	1.000	bicubic
354	gcvit_tiny.in1k	96.180	3.820	99.230	0.770	28.22	224	0.875	bicubic
355	focalnet_small_lrf.ms_in1k	96.180	3.820	99.190	0.810	50.34	224	0.900	bicubic
356	swinv2_cr_small_ns_224.sw_in1k	96.180	3.820	99.140	0.860	49.70	224	0.900	bicubic
357	mobilevitv2_175.cvnets_in22k_ft_in1k_384	96.180	3.820	99.120	0.880	14.25	384	1.000	bicubic
358	tf_efficientnet_b4.ap_in1k	96.160	3.840	99.270	0.730	19.34	380	0.922	bicubic
359	tresnet_v2_l.miil_in21k_ft_in1k	96.160	3.840	99.240	0.760	46.17	224	0.875	bilinear
360	deit_base_patch16_384.fb_in1k	96.160	3.840	99.140	0.860	86.86	384	1.000	bicubic
361	twins_svt_base.in1k	96.160	3.840	99.050	0.950	56.07	224	0.900	bicubic
362	efficientnet_b4.ra2_in1k	96.150	3.850	99.190	0.810	19.34	384	1.000	bicubic
363	sequencer2d_l.in1k	96.150	3.850	99.160	0.840	54.30	224	0.875	bicubic
364	regnetz_c16_evos.ch_in1k	96.140	3.860	99.360	0.640	13.49	320	0.950	bicubic
365	twins_pcpvt_large.in1k	96.140	3.860	99.170	0.830	60.99	224	0.900	bicubic
366	caformer_s18.sail_in1k	96.140	3.860	99.000	1.000	26.34	224	1.000	bicubic
367	resnetv2_50x1_bit.goog_distilled_in1k	96.130	3.870	99.280	0.720	25.55	224	0.875	bicubic
368	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	96.130	3.870	99.220	0.780	88.22	224	0.900	bicubic
369	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	96.120	3.880	99.270	0.730	236.34	224	0.875	bicubic
370	nfnet_l0.ra2_in1k	96.120	3.880	99.240	0.760	35.07	288	1.000	bicubic
371	swin_base_patch4_window7_224.ms_in1k	96.120	3.880	99.060	0.940	87.77	224	0.900	bicubic
372	efficientformer_l7.snap_dist_in1k	96.110	3.890	99.270	0.730	82.23	224	0.950	bicubic
373	xcit_small_12_p8_224.fb_in1k	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
374	resnetv2_101x1_bit.goog_in21k_ft_in1k	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
375	maxvit_tiny_tf_224.in1k	96.100	3.900	99.270	0.730	30.92	224	0.950	bicubic
376	deit_base_distilled_patch16_224.fb_in1k	96.090	3.910	99.190	0.810	87.34	224	0.900	bicubic
377	xcit_medium_24_p8_224.fb_in1k	96.090	3.910	98.890	1.110	84.32	224	1.000	bicubic
378	resnext101_64x4d.c1_in1k	96.080	3.920	99.240	0.760	83.46	288	1.000	bicubic
379	regnety_320.tv2_in1k	96.080	3.920	99.230	0.770	145.05	224	0.965	bicubic
380	xcit_tiny_12_p8_384.fb_dist_in1k	96.080	3.920	99.140	0.860	6.71	384	1.000	bicubic
381	swinv2_cr_small_224.sw_in1k	96.080	3.920	98.860	1.140	49.70	224	0.900	bicubic
382	tf_efficientnet_b5.in1k	96.070	3.930	99.290	0.710	30.39	456	0.934	bicubic
383	deit3_medium_patch16_224.fb_in1k	96.070	3.930	99.200	0.800	38.85	224	0.900	bicubic
384	efficientformerv2_l.snap_dist_in1k	96.070	3.930	99.190	0.810	26.32	224	0.950	bicubic
385	focalnet_small_srf.ms_in1k	96.070	3.930	99.120	0.880	49.89	224	0.900	bicubic
386	convnextv2_nano.fcmae_ft_in22k_in1k	96.060	3.940	99.220	0.780	15.62	288	1.000	bicubic
387	mobilevitv2_200.cvnets_in22k_ft_in1k_384	96.060	3.940	99.080	0.920	18.45	384	1.000	bicubic
388	cs3edgenet_x.c2_in1k	96.050	3.950	99.140	0.860	47.82	288	1.000	bicubic
389	maxxvit_rmlp_nano_rw_256.sw_in1k	96.040	3.960	99.260	0.740	16.78	256	0.950	bicubic
390	resnetv2_101.a1h_in1k	96.040	3.960	99.170	0.830	44.54	288	1.000	bicubic
391	resnext101_64x4d.tv_in1k	96.030	3.970	99.160	0.840	83.46	224	0.875	bilinear
392	xcit_small_12_p16_224.fb_dist_in1k	96.030	3.970	99.130	0.870	26.25	224	1.000	bicubic
393	coatnet_1_rw_224.sw_in1k	96.030	3.970	99.060	0.940	41.72	224	0.950	bicubic
394	regnety_040.ra3_in1k	96.020	3.980	99.190	0.810	20.65	288	1.000	bicubic
395	resnet101.a1h_in1k	96.020	3.980	99.140	0.860	44.55	288	1.000	bicubic
396	cs3sedarknet_x.c2ns_in1k	96.020	3.980	99.110	0.890	35.40	288	1.000	bicubic
397	convnext_tiny_hnf.a2h_in1k	96.020	3.980	99.070	0.930	28.59	288	1.000	bicubic
398	hrnet_w18_ssld.paddle_in1k	95.990	4.010	99.320	0.680	21.30	288	1.000	bilinear
399	convnext_nano.in12k_ft_in1k	95.990	4.010	99.310	0.690	15.59	288	1.000	bicubic
400	pvt_v2_b3.in1k	95.990	4.010	99.190	0.810	45.24	224	0.900	bicubic
401	regnetx_320.tv2_in1k	95.990	4.010	99.100	0.900	107.81	224	0.965	bicubic
402	tresnet_xl.miil_in1k_448	95.980	4.020	99.130	0.870	78.44	448	0.875	bilinear
403	sequencer2d_s.in1k	95.980	4.020	99.050	0.950	27.65	224	0.875	bicubic
404	regnety_160.tv2_in1k	95.970	4.030	99.150	0.850	83.59	224	0.965	bicubic
405	nest_small_jx.goog_in1k	95.970	4.030	99.030	0.970	38.35	224	0.875	bicubic
406	maxvit_rmlp_nano_rw_256.sw_in1k	95.970	4.030	98.970	1.030	15.50	256	0.950	bicubic
407	regnety_032.ra_in1k	95.960	4.040	99.190	0.810	19.44	288	1.000	bicubic
408	coatnet_rmlp_1_rw_224.sw_in1k	95.960	4.040	99.160	0.840	41.69	224	0.950	bicubic
409	resnext101_32x8d.tv2_in1k	95.950	4.050	99.080	0.920	88.79	224	0.965	bilinear
410	convformer_s18.sail_in1k	95.950	4.050	98.900	1.100	26.77	224	1.000	bicubic
411	xcit_tiny_24_p16_384.fb_dist_in1k	95.940	4.060	99.220	0.780	12.12	384	1.000	bicubic
412	eca_nfnet_l0.ra2_in1k	95.940	4.060	99.210	0.790	24.14	288	1.000	bicubic
413	regnetz_c16.ra3_in1k	95.940	4.060	99.110	0.890	13.46	320	1.000	bicubic
414	swinv2_tiny_window16_256.ms_in1k	95.930	4.070	99.150	0.850	28.35	256	0.900	bicubic
415	swin_small_patch4_window7_224.ms_in1k	95.930	4.070	99.020	0.980	49.61	224	0.900	bicubic
416	maxvit_nano_rw_256.sw_in1k	95.920	4.080	99.010	0.990	15.45	256	0.950	bicubic
417	coat_small.in1k	95.910	4.090	99.150	0.850	21.69	224	0.900	bicubic
418	tf_efficientnet_b4.aa_in1k	95.900	4.100	99.170	0.830	19.34	380	0.922	bicubic
419	maxxvitv2_nano_rw_256.sw_in1k	95.900	4.100	99.050	0.950	23.70	256	0.950	bicubic
420	regnetx_160.tv2_in1k	95.880	4.120	99.090	0.910	54.28	224	0.965	bicubic
421	resnet51q.ra2_in1k	95.870	4.130	99.120	0.880	35.70	288	1.000	bilinear
422	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	95.860	4.140	99.250	0.750	25.03	224	0.875	bilinear
423	resnest101e.in1k	95.860	4.140	99.200	0.800	48.28	256	0.875	bilinear
424	tresnet_l.miil_in1k_448	95.860	4.140	99.120	0.880	55.99	448	0.875	bilinear
425	regnety_080_tv.tv2_in1k	95.860	4.140	99.100	0.900	39.38	224	0.965	bicubic
426	mvitv2_tiny.fb_in1k	95.860	4.140	99.070	0.930	24.17	224	0.900	bicubic
427	cs3darknet_x.c2ns_in1k	95.850	4.150	99.170	0.830	35.05	288	1.000	bicubic
428	rexnet_300.nav_in1k	95.840	4.160	99.130	0.870	34.71	224	0.875	bicubic
429	resnetaa50d.sw_in12k_ft_in1k	95.830	4.170	99.170	0.830	25.58	288	1.000	bicubic
430	vit_large_patch32_384.orig_in21k_ft_in1k	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
431	cait_xxs36_384.fb_dist_in1k	95.830	4.170	99.090	0.910	17.37	384	1.000	bicubic
432	tf_efficientnet_b4.in1k	95.820	4.180	99.050	0.950	19.34	380	0.922	bicubic
433	xcit_tiny_24_p8_224.fb_dist_in1k	95.810	4.190	99.210	0.790	12.11	224	1.000	bicubic
434	sequencer2d_m.in1k	95.810	4.190	99.110	0.890	38.31	224	0.875	bicubic
435	convnextv2_nano.fcmae_ft_in1k	95.800	4.200	99.090	0.910	15.62	288	1.000	bicubic
436	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	95.790	4.210	99.180	0.820	194.03	224	0.875	bilinear
437	convnext_tiny.fb_in1k	95.790	4.210	99.160	0.840	28.59	288	1.000	bicubic
438	resnet61q.ra2_in1k	95.780	4.220	98.990	1.010	36.85	288	1.000	bicubic
439	twins_pcpvt_base.in1k	95.770	4.230	99.130	0.870	43.83	224	0.900	bicubic
440	tf_efficientnet_b2.ns_jft_in1k	95.770	4.230	99.120	0.880	9.11	260	0.890	bicubic
441	vit_relpos_base_patch16_clsgap_224.sw_in1k	95.770	4.230	99.040	0.960	86.43	224	0.900	bicubic
442	poolformerv2_m48.sail_in1k	95.770	4.230	98.980	1.020	73.35	224	1.000	bicubic
443	ecaresnet101d_pruned.miil_in1k	95.760	4.240	99.180	0.820	24.88	288	0.950	bicubic
444	seresnext50_32x4d.racm_in1k	95.740	4.260	99.180	0.820	27.56	288	0.950	bicubic
445	gc_efficientnetv2_rw_t.agc_in1k	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
446	efficientnet_b3.ra2_in1k	95.720	4.280	99.040	0.960	12.23	320	1.000	bicubic
447	tresnet_m.miil_in21k_ft_in1k	95.710	4.290	99.030	0.970	31.39	224	0.875	bilinear
448	pnasnet5large.tf_in1k	95.710	4.290	98.920	1.080	86.06	331	0.911	bicubic
449	coatnet_bn_0_rw_224.sw_in1k	95.700	4.300	99.050	0.950	27.44	224	0.950	bicubic
450	mobilevitv2_150.cvnets_in22k_ft_in1k_384	95.690	4.310	99.140	0.860	10.59	384	1.000	bicubic
451	nasnetalarge.tf_in1k	95.690	4.310	98.930	1.070	88.75	331	0.911	bicubic
452	crossvit_15_dagger_240.in1k	95.680	4.320	98.830	1.170	28.21	240	0.875	bicubic
453	flexivit_small.600ep_in1k	95.670	4.330	99.060	0.940	22.06	240	0.950	bicubic
454	xcit_tiny_24_p8_224.fb_in1k	95.660	4.340	99.050	0.950	12.11	224	1.000	bicubic
455	davit_tiny.msft_in1k	95.660	4.340	99.030	0.970	28.36	224	0.950	bicubic
456	vit_small_r26_s32_224.augreg_in21k_ft_in1k	95.640	4.360	99.190	0.810	36.43	224	0.900	bicubic
457	wide_resnet50_2.racm_in1k	95.630	4.370	99.240	0.760	68.88	288	0.950	bicubic
458	resnetv2_50d_evos.ah_in1k	95.630	4.370	99.110	0.890	25.59	288	1.000	bicubic
459	poolformer_m48.sail_in1k	95.630	4.370	98.940	1.060	73.47	224	0.950	bicubic
460	pit_b_224.in1k	95.620	4.380	98.670	1.330	73.76	224	0.900	bicubic
461	efficientnetv2_rw_t.ra2_in1k	95.600	4.400	99.070	0.930	13.65	288	1.000	bicubic
462	efficientformer_l3.snap_dist_in1k	95.590	4.410	99.160	0.840	31.41	224	0.950	bicubic
463	gcvit_xtiny.in1k	95.590	4.410	99.040	0.960	19.98	224	0.875	bicubic
464	crossvit_18_dagger_240.in1k	95.570	4.430	99.060	0.940	44.27	240	0.875	bicubic
465	vit_relpos_base_patch16_224.sw_in1k	95.560	4.440	99.030	0.970	86.43	224	0.900	bicubic
466	pvt_v2_b2_li.in1k	95.560	4.440	98.990	1.010	22.55	224	0.900	bicubic
467	flexivit_small.1200ep_in1k	95.550	4.450	99.120	0.880	22.06	240	0.950	bicubic
468	convit_base.fb_in1k	95.550	4.450	98.880	1.120	86.54	224	0.875	bicubic
469	wide_resnet101_2.tv2_in1k	95.540	4.460	99.080	0.920	126.89	224	0.965	bilinear
470	coat_lite_small.in1k	95.540	4.460	98.860	1.140	19.84	224	0.900	bicubic
471	xcit_small_24_p16_224.fb_in1k	95.540	4.460	98.780	1.220	47.67	224	1.000	bicubic
472	xcit_medium_24_p16_224.fb_in1k	95.540	4.460	98.720	1.280	84.40	224	1.000	bicubic
473	levit_384.fb_dist_in1k	95.530	4.470	99.060	0.940	39.13	224	0.900	bicubic
474	levit_conv_384.fb_dist_in1k	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
475	ecaresnet50t.ra2_in1k	95.520	4.480	99.110	0.890	25.57	320	0.950	bicubic
476	vit_base_patch32_clip_224.laion2b_ft_in1k	95.520	4.480	98.870	1.130	88.22	224	0.900	bicubic
477	resnet101.a1_in1k	95.520	4.480	98.850	1.150	44.55	288	1.000	bicubic
478	crossvit_base_240.in1k	95.520	4.480	98.810	1.190	105.03	240	0.875	bicubic
479	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	95.510	4.490	99.200	0.800	28.29	224	0.900	bicubic
480	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	95.510	4.490	99.120	0.880	88.79	224	0.875	bilinear
481	fbnetv3_g.ra2_in1k	95.510	4.490	98.990	1.010	16.62	288	0.950	bilinear
482	xception41p.ra3_in1k	95.510	4.490	98.910	1.090	26.91	299	0.940	bicubic
483	focalnet_tiny_srf.ms_in1k	95.500	4.500	99.130	0.870	28.43	224	0.900	bicubic
484	vit_relpos_medium_patch16_rpn_224.sw_in1k	95.500	4.500	99.080	0.920	38.73	224	0.900	bicubic
485	flexivit_small.300ep_in1k	95.500	4.500	98.960	1.040	22.06	240	0.950	bicubic
486	resnet152.tv2_in1k	95.500	4.500	98.960	1.040	60.19	224	0.965	bilinear
487	resnet152.a1_in1k	95.500	4.500	98.780	1.220	60.19	288	1.000	bicubic
488	swinv2_tiny_window8_256.ms_in1k	95.490	4.510	99.100	0.900	28.35	256	0.900	bicubic
489	visformer_small.in1k	95.490	4.510	98.900	1.100	40.22	224	0.900	bicubic
490	resnet152.a2_in1k	95.490	4.510	98.790	1.210	60.19	288	1.000	bicubic
491	pvt_v2_b2.in1k	95.480	4.520	99.000	1.000	25.36	224	0.900	bicubic
492	resnetv2_50d_gn.ah_in1k	95.480	4.520	98.950	1.050	25.57	288	1.000	bicubic
493	vit_relpos_medium_patch16_cls_224.sw_in1k	95.470	4.530	98.950	1.050	38.76	224	0.900	bicubic
494	vit_relpos_medium_patch16_224.sw_in1k	95.460	4.540	98.960	1.040	38.75	224	0.900	bicubic
495	focalnet_tiny_lrf.ms_in1k	95.460	4.540	98.910	1.090	28.65	224	0.900	bicubic
496	ecaresnet50d.miil_in1k	95.450	4.550	99.090	0.910	25.58	288	0.950	bicubic
497	deit_base_patch16_224.fb_in1k	95.450	4.550	98.840	1.160	86.57	224	0.900	bicubic
498	resnext50_32x4d.a1h_in1k	95.450	4.550	98.840	1.160	25.03	288	1.000	bicubic
499	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	95.440	4.560	99.120	0.880	44.18	224	0.875	bilinear
500	tresnet_xl.miil_in1k	95.440	4.560	99.050	0.950	78.44	224	0.875	bilinear
501	crossvit_18_240.in1k	95.440	4.560	98.790	1.210	43.27	240	0.875	bicubic
502	coatnet_0_rw_224.sw_in1k	95.440	4.560	98.720	1.280	27.44	224	0.950	bicubic
503	resnetrs101.tf_in1k	95.430	4.570	99.040	0.960	63.62	288	0.940	bicubic
504	coatnext_nano_rw_224.sw_in1k	95.430	4.570	99.010	0.990	14.70	224	0.900	bicubic
505	coatnet_rmlp_nano_rw_224.sw_in1k	95.430	4.570	98.990	1.010	15.15	224	0.900	bicubic
506	xcit_large_24_p16_224.fb_in1k	95.430	4.570	98.630	1.370	189.10	224	1.000	bicubic
507	halo2botnet50ts_256.a1h_in1k	95.420	4.580	99.020	0.980	22.64	256	0.950	bicubic
508	xcit_small_12_p16_224.fb_in1k	95.420	4.580	98.840	1.160	26.25	224	1.000	bicubic
509	ecaresnet50t.a1_in1k	95.410	4.590	99.010	0.990	25.57	288	1.000	bicubic
510	resnet101.a2_in1k	95.410	4.590	98.940	1.060	44.55	288	1.000	bicubic
511	resnet50.fb_swsl_ig1b_ft_in1k	95.400	4.600	99.300	0.700	25.56	224	0.875	bilinear
512	edgenext_small.usi_in1k	95.400	4.600	99.100	0.900	5.59	320	1.000	bicubic
513	poolformerv2_m36.sail_in1k	95.400	4.600	98.870	1.130	56.08	224	1.000	bicubic
514	vit_base_patch16_rpn_224.sw_in1k	95.390	4.610	98.940	1.060	86.54	224	0.900	bicubic
515	poolformer_m36.sail_in1k	95.390	4.610	98.860	1.140	56.17	224	0.950	bicubic
516	vit_small_patch16_224.augreg_in21k_ft_in1k	95.370	4.630	99.140	0.860	22.05	224	0.900	bicubic
517	swinv2_cr_tiny_ns_224.sw_in1k	95.370	4.630	98.940	1.060	28.33	224	0.900	bicubic
518	efficientformerv2_s2.snap_dist_in1k	95.360	4.640	98.930	1.070	12.71	224	0.950	bicubic
519	ecaresnet50t.a2_in1k	95.350	4.650	98.920	1.080	25.57	288	1.000	bicubic
520	convnext_nano.d1h_in1k	95.350	4.650	98.860	1.140	15.59	288	1.000	bicubic
521	vit_base_patch16_224.orig_in21k_ft_in1k	95.340	4.660	99.000	1.000	86.57	224	0.900	bicubic
522	seresnet50.ra2_in1k	95.330	4.670	99.010	0.990	28.09	288	0.950	bicubic
523	tf_efficientnet_b3.ap_in1k	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
524	cs3sedarknet_l.c2ns_in1k	95.310	4.690	99.130	0.870	21.91	288	0.950	bicubic
525	poolformerv2_s36.sail_in1k	95.310	4.690	98.920	1.080	30.79	224	1.000	bicubic
526	regnety_032.tv2_in1k	95.310	4.690	98.910	1.090	19.44	224	0.965	bicubic
527	mixer_b16_224.miil_in21k_ft_in1k	95.300	4.700	98.880	1.120	59.88	224	0.875	bilinear
528	ecaresnetlight.miil_in1k	95.290	4.710	99.030	0.970	30.16	288	0.950	bicubic
529	vit_small_patch16_384.augreg_in1k	95.290	4.710	99.000	1.000	22.20	384	1.000	bicubic
530	tresnet_l.miil_in1k	95.280	4.720	99.010	0.990	55.99	224	0.875	bilinear
531	cait_xxs24_384.fb_dist_in1k	95.280	4.720	98.960	1.040	12.03	384	1.000	bicubic
532	resnet101.tv2_in1k	95.270	4.730	98.910	1.090	44.55	224	0.965	bilinear
533	resnet50_gn.a1h_in1k	95.250	4.750	99.000	1.000	25.56	288	0.950	bicubic
534	vit_srelpos_medium_patch16_224.sw_in1k	95.240	4.760	98.990	1.010	38.74	224	0.900	bicubic
535	nest_tiny_jx.goog_in1k	95.240	4.760	98.980	1.020	17.06	224	0.875	bicubic
536	gcresnet50t.ra2_in1k	95.240	4.760	98.910	1.090	25.90	288	1.000	bicubic
537	coatnet_nano_rw_224.sw_in1k	95.240	4.760	98.870	1.130	15.14	224	0.900	bicubic
538	convnextv2_pico.fcmae_ft_in1k	95.230	4.770	98.920	1.080	9.07	288	0.950	bicubic
539	mobilevitv2_175.cvnets_in22k_ft_in1k	95.220	4.780	98.800	1.200	14.25	256	0.888	bicubic
540	convit_small.fb_in1k	95.210	4.790	98.900	1.100	27.78	224	0.875	bicubic
541	twins_pcpvt_small.in1k	95.210	4.790	98.880	1.120	24.11	224	0.900	bicubic
542	resnetaa50.a1h_in1k	95.200	4.800	98.920	1.080	25.56	288	1.000	bicubic
543	twins_svt_small.in1k	95.190	4.810	98.880	1.120	24.06	224	0.900	bicubic
544	swin_s3_tiny_224.ms_in1k	95.180	4.820	98.950	1.050	28.33	224	0.900	bicubic
545	tf_efficientnetv2_b3.in1k	95.180	4.820	98.820	1.180	14.36	300	0.904	bicubic
546	regnetz_b16.ra3_in1k	95.170	4.830	99.080	0.920	9.72	288	1.000	bicubic
547	tf_efficientnet_b1.ns_jft_in1k	95.160	4.840	99.100	0.900	7.79	240	0.882	bicubic
548	cs3darknet_focus_l.c2ns_in1k	95.160	4.840	98.960	1.040	21.15	288	0.950	bicubic
549	mobilevitv2_200.cvnets_in22k_ft_in1k	95.160	4.840	98.950	1.050	18.45	256	0.888	bicubic
550	lamhalobotnet50ts_256.a1h_in1k	95.160	4.840	98.880	1.120	22.57	256	0.950	bicubic
551	vit_relpos_small_patch16_224.sw_in1k	95.150	4.850	98.960	1.040	21.98	224	0.900	bicubic
552	crossvit_15_240.in1k	95.150	4.850	98.930	1.070	27.53	240	0.875	bicubic
553	pit_s_distilled_224.in1k	95.140	4.860	98.890	1.110	24.04	224	0.900	bicubic
554	mobilevitv2_150.cvnets_in22k_ft_in1k	95.140	4.860	98.860	1.140	10.59	256	0.888	bicubic
555	swin_tiny_patch4_window7_224.ms_in1k	95.140	4.860	98.850	1.150	28.29	224	0.900	bicubic
556	halonet50ts.a1h_in1k	95.140	4.860	98.780	1.220	22.73	256	0.940	bicubic
557	convnext_nano_ols.d1h_in1k	95.140	4.860	98.730	1.270	15.65	288	1.000	bicubic
558	xcit_tiny_12_p16_384.fb_dist_in1k	95.130	4.870	99.020	0.980	6.72	384	1.000	bicubic
559	cs3darknet_l.c2ns_in1k	95.120	4.880	98.980	1.020	21.16	288	0.950	bicubic
560	efficientnet_el.ra_in1k	95.120	4.880	98.970	1.030	10.59	300	0.904	bicubic
561	vit_base_patch32_clip_224.openai_ft_in1k	95.110	4.890	98.980	1.020	88.22	224	0.900	bicubic
562	ecaresnet50d_pruned.miil_in1k	95.110	4.890	98.930	1.070	19.94	288	0.950	bicubic
563	gernet_l.idstcv_in1k	95.110	4.890	98.900	1.100	31.08	256	0.875	bilinear
564	regnetx_080.tv2_in1k	95.100	4.900	98.830	1.170	39.57	224	0.965	bicubic
565	xcit_tiny_12_p8_224.fb_dist_in1k	95.090	4.910	98.910	1.090	6.71	224	1.000	bicubic
566	convmixer_1536_20.in1k	95.080	4.920	99.030	0.970	51.63	224	0.960	bicubic
567	poolformer_s36.sail_in1k	95.080	4.920	98.910	1.090	30.86	224	0.900	bicubic
568	legacy_senet154.in1k	95.070	4.930	98.830	1.170	115.09	224	0.875	bilinear
569	seresnet33ts.ra2_in1k	95.040	4.960	98.900	1.100	19.78	288	1.000	bicubic
570	tnt_s_patch16_224	95.040	4.960	98.830	1.170	23.76	224	0.900	bicubic
571	vit_small_patch32_384.augreg_in21k_ft_in1k	95.030	4.970	98.990	1.010	22.92	384	1.000	bicubic
572	vit_srelpos_small_patch16_224.sw_in1k	95.030	4.970	98.950	1.050	21.97	224	0.900	bicubic
573	resnet152s.gluon_in1k	95.020	4.980	98.930	1.070	60.32	224	0.875	bicubic
574	levit_256.fb_dist_in1k	95.020	4.980	98.880	1.120	18.89	224	0.900	bicubic
575	levit_conv_256.fb_dist_in1k	95.020	4.980	98.880	1.120	18.89	224	0.900	bicubic
576	resnetv2_50x1_bit.goog_in21k_ft_in1k	95.010	4.990	99.060	0.940	25.55	448	1.000	bilinear
577	vit_base_patch32_224.augreg_in21k_ft_in1k	95.010	4.990	99.030	0.970	88.22	224	0.900	bicubic
578	resnet50d.ra2_in1k	95.010	4.990	98.980	1.020	25.58	288	0.950	bicubic
579	tf_efficientnet_b3.aa_in1k	95.000	5.000	98.910	1.090	12.23	300	0.904	bicubic
580	tresnet_m.miil_in1k_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
581	deit3_small_patch16_224.fb_in1k	94.990	5.010	98.460	1.540	22.06	224	0.900	bicubic
582	resnet50.d_in1k	94.980	5.020	98.840	1.160	25.56	288	1.000	bicubic
583	resnest50d_4s2x40d.in1k	94.970	5.030	99.080	0.920	30.42	224	0.875	bicubic
584	coat_mini.in1k	94.970	5.030	98.780	1.220	10.34	224	0.900	bicubic
585	rexnet_200.nav_in1k	94.940	5.060	99.010	0.990	16.37	224	0.875	bicubic
586	vit_base_patch16_384.augreg_in1k	94.940	5.060	98.890	1.110	86.86	384	1.000	bicubic
587	seresnext101_64x4d.gluon_in1k	94.930	5.070	98.830	1.170	88.23	224	0.875	bicubic
588	gcresnet33ts.ra2_in1k	94.920	5.080	98.810	1.190	19.88	288	1.000	bicubic
589	resnet50.c2_in1k	94.920	5.080	98.810	1.190	25.56	288	1.000	bicubic
590	senet154.gluon_in1k	94.920	5.080	98.760	1.240	115.09	224	0.875	bicubic
591	eva02_tiny_patch14_336.mim_in22k_ft_in1k	94.910	5.090	98.880	1.120	5.76	336	1.000	bicubic
592	mobilevitv2_175.cvnets_in1k	94.890	5.110	98.860	1.140	14.25	256	0.888	bicubic
593	resmlp_36_224.fb_distilled_in1k	94.890	5.110	98.860	1.140	44.69	224	0.875	bicubic
594	seresnext101_32x4d.gluon_in1k	94.890	5.110	98.820	1.180	48.96	224	0.875	bicubic
595	tf_efficientnet_lite4.in1k	94.880	5.120	99.020	0.980	13.01	380	0.920	bilinear
596	wide_resnet50_2.tv2_in1k	94.870	5.130	98.940	1.060	68.88	224	0.965	bilinear
597	ese_vovnet39b.ra_in1k	94.870	5.130	98.910	1.090	24.57	288	0.950	bicubic
598	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	94.860	5.140	98.870	1.130	25.03	224	0.875	bilinear
599	gcresnext50ts.ch_in1k	94.860	5.140	98.860	1.140	15.67	288	1.000	bicubic
600	resnet50.b1k_in1k	94.860	5.140	98.810	1.190	25.56	288	1.000	bicubic
601	crossvit_small_240.in1k	94.850	5.150	99.010	0.990	26.86	240	0.875	bicubic
602	resnest50d.in1k	94.850	5.150	98.880	1.120	27.48	224	0.875	bilinear
603	resnetv2_50.a1h_in1k	94.850	5.150	98.870	1.130	25.55	288	1.000	bicubic
604	mobilevitv2_200.cvnets_in1k	94.840	5.160	98.710	1.290	18.45	256	0.888	bicubic
605	convnext_tiny.fb_in22k_ft_in1k	94.840	5.160	98.530	1.470	28.59	288	1.000	bicubic
606	cspresnext50.ra_in1k	94.830	5.170	98.770	1.230	20.57	256	0.887	bilinear
607	res2net101d.in1k	94.820	5.180	98.770	1.230	45.23	224	0.875	bilinear
608	resnext50_32x4d.a1_in1k	94.820	5.180	98.600	1.400	25.03	288	1.000	bicubic
609	resnet50.a1h_in1k	94.770	5.230	98.690	1.310	25.56	224	1.000	bicubic
610	lambda_resnet50ts.a1h_in1k	94.770	5.230	98.470	1.530	21.54	256	0.950	bicubic
611	convnext_pico.d1_in1k	94.760	5.240	98.710	1.290	9.05	288	0.950	bicubic
612	sehalonet33ts.ra2_in1k	94.760	5.240	98.570	1.430	13.69	256	0.940	bicubic
613	resnet50.a1_in1k	94.740	5.260	98.710	1.290	25.56	288	1.000	bicubic
614	resnest50d_1s4x24d.in1k	94.730	5.270	98.980	1.020	25.68	224	0.875	bicubic
615	resnet50.c1_in1k	94.730	5.270	98.930	1.070	25.56	288	1.000	bicubic
616	resnet50.b2k_in1k	94.730	5.270	98.820	1.180	25.56	288	1.000	bicubic
617	resnet152d.gluon_in1k	94.730	5.270	98.750	1.250	60.21	224	0.875	bicubic
618	resnet152.a3_in1k	94.730	5.270	98.680	1.320	60.19	224	0.950	bicubic
619	resnet50d.a1_in1k	94.730	5.270	98.490	1.510	25.58	288	1.000	bicubic
620	resnet101s.gluon_in1k	94.720	5.280	98.820	1.180	44.67	224	0.875	bicubic
621	deit_small_distilled_patch16_224.fb_in1k	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
622	resnext50_32x4d.ra_in1k	94.700	5.300	98.760	1.240	25.03	288	0.950	bicubic
623	xcit_tiny_12_p8_224.fb_in1k	94.690	5.310	98.830	1.170	6.71	224	1.000	bicubic
624	haloregnetz_b.ra3_in1k	94.690	5.310	98.660	1.340	11.68	224	0.940	bicubic
625	resmlp_big_24_224.fb_in1k	94.680	5.320	98.500	1.500	129.14	224	0.875	bicubic
626	edgenext_small_rw.sw_in1k	94.670	5.330	98.780	1.220	7.83	320	1.000	bicubic
627	resnext101_64x4d.gluon_in1k	94.670	5.330	98.660	1.340	83.46	224	0.875	bicubic
628	regnetx_032.tv2_in1k	94.660	5.340	98.850	1.150	15.30	224	0.965	bicubic
629	resnet50.tv2_in1k	94.660	5.340	98.790	1.210	25.56	224	0.965	bilinear
630	seresnet50.a2_in1k	94.660	5.340	98.780	1.220	28.09	288	1.000	bicubic
631	seresnet50.a1_in1k	94.660	5.340	98.720	1.280	28.09	288	1.000	bicubic
632	poolformerv2_s24.sail_in1k	94.650	5.350	98.840	1.160	21.34	224	1.000	bicubic
633	cspdarknet53.ra_in1k	94.650	5.350	98.800	1.200	27.64	256	0.887	bilinear
634	maxvit_rmlp_pico_rw_256.sw_in1k	94.630	5.370	98.810	1.190	7.52	256	0.950	bicubic
635	efficientnet_b3_pruned.in1k	94.630	5.370	98.760	1.240	9.86	300	0.904	bicubic
636	resnet50.a2_in1k	94.630	5.370	98.660	1.340	25.56	288	1.000	bicubic
637	tresnet_m.miil_in1k	94.630	5.370	98.550	1.450	31.39	224	0.875	bilinear
638	eca_resnet33ts.ra2_in1k	94.620	5.380	98.910	1.090	19.68	288	1.000	bicubic
639	darknet53.c2ns_in1k	94.620	5.380	98.900	1.100	41.61	288	1.000	bicubic
640	gernet_m.idstcv_in1k	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
641	resnext50_32x4d.tv2_in1k	94.620	5.380	98.780	1.220	25.03	224	0.965	bilinear
642	convnext_pico_ols.d1_in1k	94.620	5.380	98.760	1.240	9.06	288	1.000	bicubic
643	efficientnet_b2.ra_in1k	94.620	5.380	98.710	1.290	9.11	288	1.000	bicubic
644	sebotnet33ts_256.a1h_in1k	94.610	5.390	98.510	1.490	13.70	256	0.940	bicubic
645	inception_resnet_v2.tf_in1k	94.580	5.420	98.790	1.210	55.84	299	0.897	bicubic
646	resnet50d.a2_in1k	94.580	5.420	98.690	1.310	25.58	288	1.000	bicubic
647	resnext50_32x4d.a2_in1k	94.580	5.420	98.650	1.350	25.03	288	1.000	bicubic
648	pit_s_224.in1k	94.570	5.430	98.700	1.300	23.46	224	0.900	bicubic
649	poolformer_s24.sail_in1k	94.560	5.440	98.900	1.100	21.39	224	0.900	bicubic
650	repvgg_b3.rvgg_in1k	94.550	5.450	98.780	1.220	123.09	224	0.875	bilinear
651	mobilevitv2_150.cvnets_in1k	94.550	5.450	98.710	1.290	10.59	256	0.888	bicubic
652	resnext50d_32x4d.bt_in1k	94.550	5.450	98.690	1.310	25.05	288	0.950	bicubic
653	regnety_320.pycls_in1k	94.540	5.460	98.850	1.150	145.05	224	0.875	bicubic
654	tf_efficientnet_b3.in1k	94.540	5.460	98.800	1.200	12.23	300	0.904	bicubic
655	nf_resnet50.ra2_in1k	94.540	5.460	98.790	1.210	25.56	288	0.940	bicubic
656	xcit_tiny_24_p16_224.fb_dist_in1k	94.540	5.460	98.780	1.220	12.12	224	1.000	bicubic
657	resnext101_32x4d.gluon_in1k	94.540	5.460	98.630	1.370	44.18	224	0.875	bicubic
658	regnety_016.tv2_in1k	94.520	5.480	98.820	1.180	11.20	224	0.965	bicubic
659	resnet50.ram_in1k	94.520	5.480	98.650	1.350	25.56	288	0.950	bicubic
660	repvgg_b3g4.rvgg_in1k	94.510	5.490	98.970	1.030	83.83	224	0.875	bilinear
661	tf_efficientnet_b2.ap_in1k	94.510	5.490	98.620	1.380	9.11	260	0.890	bicubic
662	convmixer_768_32.in1k	94.500	5.500	98.860	1.140	21.11	224	0.960	bicubic
663	efficientformer_l1.snap_dist_in1k	94.480	5.520	98.830	1.170	12.29	224	0.950	bicubic
664	rexnet_150.nav_in1k	94.480	5.520	98.800	1.200	9.73	224	0.875	bicubic
665	regnety_120.pycls_in1k	94.470	5.530	98.820	1.180	51.82	224	0.875	bicubic
666	darknetaa53.c2ns_in1k	94.470	5.530	98.760	1.240	36.02	288	1.000	bilinear
667	resnetblur50.bt_in1k	94.460	5.540	98.840	1.160	25.56	288	0.950	bicubic
668	resnet50.fb_ssl_yfcc100m_ft_in1k	94.450	5.550	98.920	1.080	25.56	224	0.875	bilinear
669	resmlp_24_224.fb_distilled_in1k	94.450	5.550	98.770	1.230	30.02	224	0.875	bicubic
670	regnetx_320.pycls_in1k	94.450	5.550	98.740	1.260	107.81	224	0.875	bicubic
671	gcvit_xxtiny.in1k	94.420	5.580	98.890	1.110	12.00	224	0.875	bicubic
672	tf_efficientnetv2_b2.in1k	94.420	5.580	98.580	1.420	10.10	260	0.890	bicubic
673	efficientnet_el_pruned.in1k	94.400	5.600	98.740	1.260	10.59	300	0.904	bicubic
674	tf_efficientnet_el.in1k	94.400	5.600	98.710	1.290	10.59	300	0.904	bicubic
675	tf_efficientnet_b2.aa_in1k	94.380	5.620	98.610	1.390	9.11	260	0.890	bicubic
676	deit_small_patch16_224.fb_in1k	94.370	5.630	98.700	1.300	22.05	224	0.900	bicubic
677	inception_v4.tf_in1k	94.370	5.630	98.580	1.420	42.68	299	0.875	bicubic
678	regnety_160.pycls_in1k	94.360	5.640	98.860	1.140	83.59	224	0.875	bicubic
679	legacy_seresnext101_32x4d.in1k	94.360	5.640	98.630	1.370	48.96	224	0.875	bilinear
680	ecaresnet50t.a3_in1k	94.350	5.650	98.670	1.330	25.57	224	0.950	bicubic
681	dpn107.mx_in1k	94.340	5.660	98.500	1.500	86.92	224	0.875	bicubic
682	seresnext50_32x4d.gluon_in1k	94.330	5.670	98.610	1.390	27.56	224	0.875	bicubic
683	ecaresnet26t.ra2_in1k	94.320	5.680	98.720	1.280	16.01	320	0.950	bicubic
684	resnetrs50.tf_in1k	94.320	5.680	98.640	1.360	35.69	224	0.910	bicubic
685	res2net50d.in1k	94.320	5.680	98.530	1.470	25.72	224	0.875	bilinear
686	resnet50.bt_in1k	94.310	5.690	98.640	1.360	25.56	288	0.950	bicubic
687	xception71.tf_in1k	94.300	5.700	98.650	1.350	42.34	299	0.903	bicubic
688	dpn92.mx_in1k	94.290	5.710	98.750	1.250	37.67	224	0.875	bicubic
689	cait_xxs36_224.fb_dist_in1k	94.270	5.730	98.710	1.290	17.30	224	1.000	bicubic
690	skresnext50_32x4d.ra_in1k	94.240	5.760	98.460	1.540	27.48	224	0.875	bicubic
691	regnetx_120.pycls_in1k	94.230	5.770	98.670	1.330	46.11	224	0.875	bicubic
692	resnet101d.gluon_in1k	94.230	5.770	98.540	1.460	44.57	224	0.875	bicubic
693	resnet50.ra_in1k	94.210	5.790	98.620	1.380	25.56	288	0.950	bicubic
694	tf_efficientnet_lite3.in1k	94.200	5.800	98.640	1.360	8.20	300	0.904	bilinear
695	efficientformerv2_s1.snap_dist_in1k	94.200	5.800	98.630	1.370	6.19	224	0.950	bicubic
696	resmlp_36_224.fb_in1k	94.190	5.810	98.660	1.340	44.69	224	0.875	bicubic
697	convnextv2_femto.fcmae_ft_in1k	94.190	5.810	98.610	1.390	5.23	288	0.950	bicubic
698	mixnet_xl.ra_in1k	94.180	5.820	98.330	1.670	11.90	224	0.875	bicubic
699	regnety_080.pycls_in1k	94.170	5.830	98.680	1.320	39.18	224	0.875	bicubic
700	inception_resnet_v2.tf_ens_adv_in1k	94.170	5.830	98.620	1.380	55.84	299	0.897	bicubic
701	levit_192.fb_dist_in1k	94.170	5.830	98.540	1.460	10.95	224	0.900	bicubic
702	levit_conv_192.fb_dist_in1k	94.170	5.830	98.540	1.460	10.95	224	0.900	bicubic
703	resnet152c.gluon_in1k	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
704	dpn98.mx_in1k	94.160	5.840	98.590	1.410	61.57	224	0.875	bicubic
705	vit_base_patch16_224.sam_in1k	94.150	5.850	98.670	1.330	86.57	224	0.900	bicubic
706	gmlp_s16_224.ra3_in1k	94.150	5.850	98.500	1.500	19.42	224	0.875	bicubic
707	regnetx_160.pycls_in1k	94.140	5.860	98.750	1.250	54.28	224	0.875	bicubic
708	regnety_064.pycls_in1k	94.140	5.860	98.710	1.290	30.58	224	0.875	bicubic
709	efficientnet_b2_pruned.in1k	94.140	5.860	98.520	1.480	8.31	260	0.890	bicubic
710	regnetx_016.tv2_in1k	94.130	5.870	98.750	1.250	9.19	224	0.965	bicubic
711	nf_regnet_b1.ra2_in1k	94.110	5.890	98.620	1.380	10.22	288	0.900	bicubic
712	tf_efficientnet_b2.in1k	94.110	5.890	98.450	1.550	9.11	260	0.890	bicubic
713	resnet33ts.ra2_in1k	94.100	5.900	98.650	1.350	19.68	288	1.000	bicubic
714	xcit_tiny_24_p16_224.fb_in1k	94.080	5.920	98.540	1.460	12.12	224	1.000	bicubic
715	resnet152.gluon_in1k	94.070	5.930	98.460	1.540	60.19	224	0.875	bicubic
716	dpn131.mx_in1k	94.050	5.950	98.710	1.290	79.25	224	0.875	bicubic
717	resnet101.a3_in1k	94.040	5.960	98.660	1.340	44.55	224	0.950	bicubic
718	coat_lite_mini.in1k	94.040	5.960	98.550	1.450	11.01	224	0.900	bicubic
719	eca_halonext26ts.c1_in1k	94.040	5.960	98.490	1.510	10.76	256	0.940	bicubic
720	resmlp_24_224.fb_in1k	94.030	5.970	98.330	1.670	30.02	224	0.875	bicubic
721	hrnet_w64.ms_in1k	94.020	5.980	98.590	1.410	128.06	224	0.875	bilinear
722	halonet26t.a1h_in1k	94.000	6.000	98.500	1.500	12.48	256	0.950	bicubic
723	dpn68b.ra_in1k	94.000	6.000	98.340	1.660	12.61	288	1.000	bicubic
724	fbnetv3_b.ra2_in1k	93.970	6.030	98.630	1.370	8.60	256	0.950	bilinear
725	resnet50.am_in1k	93.970	6.030	98.520	1.480	25.56	224	0.875	bicubic
726	dla102x2.in1k	93.970	6.030	98.490	1.510	41.28	224	0.875	bilinear
727	mobilevitv2_125.cvnets_in1k	93.960	6.040	98.550	1.450	7.48	256	0.888	bicubic
728	tf_efficientnetv2_b1.in1k	93.950	6.050	98.620	1.380	8.14	240	0.882	bicubic
729	convnext_femto.d1_in1k	93.930	6.070	98.520	1.480	5.22	288	0.950	bicubic
730	fbnetv3_d.ra2_in1k	93.920	6.080	98.740	1.260	10.31	256	0.950	bilinear
731	convnext_femto_ols.d1_in1k	93.920	6.080	98.620	1.380	5.23	288	0.950	bicubic
732	hrnet_w48.ms_in1k	93.920	6.080	98.610	1.390	77.47	224	0.875	bilinear
733	tf_efficientnet_cc_b1_8e.in1k	93.920	6.080	98.260	1.740	39.72	240	0.882	bicubic
734	regnetx_064.pycls_in1k	93.900	6.100	98.640	1.360	26.21	224	0.875	bicubic
735	rexnet_130.nav_in1k	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
736	vit_small_patch16_224.augreg_in1k	93.890	6.110	98.440	1.560	22.05	224	0.900	bicubic
737	regnety_040.pycls_in1k	93.880	6.120	98.660	1.340	20.65	224	0.875	bicubic
738	repvgg_b2g4.rvgg_in1k	93.880	6.120	98.590	1.410	61.76	224	0.875	bilinear
739	regnetx_080.pycls_in1k	93.880	6.120	98.520	1.480	39.57	224	0.875	bicubic
740	efficientnet_em.ra2_in1k	93.840	6.160	98.820	1.180	6.90	240	0.882	bicubic
741	resnet32ts.ra2_in1k	93.830	6.170	98.650	1.350	17.96	288	1.000	bicubic
742	lambda_resnet26t.c1_in1k	93.830	6.170	98.640	1.360	10.96	256	0.940	bicubic
743	resnext101_32x8d.tv_in1k	93.820	6.180	98.580	1.420	88.79	224	0.875	bilinear
744	resnext50_32x4d.gluon_in1k	93.810	6.190	98.420	1.580	25.03	224	0.875	bicubic
745	pvt_v2_b1.in1k	93.800	6.200	98.660	1.340	14.01	224	0.900	bicubic
746	xception65.tf_in1k	93.790	6.210	98.370	1.630	39.92	299	0.903	bicubic
747	eca_botnext26ts_256.c1_in1k	93.780	6.220	98.500	1.500	10.59	256	0.950	bicubic
748	pit_xs_distilled_224.in1k	93.770	6.230	98.620	1.380	11.00	224	0.900	bicubic
749	cspresnet50.ra_in1k	93.750	6.250	98.640	1.360	21.62	256	0.887	bilinear
750	legacy_seresnext50_32x4d.in1k	93.750	6.250	98.580	1.420	27.56	224	0.875	bilinear
751	resnet50d.gluon_in1k	93.750	6.250	98.390	1.610	25.58	224	0.875	bicubic
752	resnet101.gluon_in1k	93.750	6.250	98.380	1.620	44.55	224	0.875	bicubic
753	wide_resnet101_2.tv_in1k	93.740	6.260	98.540	1.460	126.89	224	0.875	bilinear
754	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	93.740	6.260	98.070	1.930	119.42	256	0.900	bicubic
755	res2net101_26w_4s.in1k	93.720	6.280	98.320	1.680	45.21	224	0.875	bilinear
756	lambda_resnet26rpt_256.c1_in1k	93.710	6.290	98.520	1.480	10.99	256	0.940	bicubic
757	regnety_008_tv.tv2_in1k	93.690	6.310	98.490	1.510	6.43	224	0.965	bicubic
758	tf_efficientnet_b1.ap_in1k	93.680	6.320	98.360	1.640	7.79	240	0.882	bicubic
759	resnet101c.gluon_in1k	93.670	6.330	98.420	1.580	44.57	224	0.875	bicubic
760	resnext50_32x4d.a3_in1k	93.660	6.340	98.520	1.480	25.03	224	0.950	bicubic
761	vit_tiny_patch16_384.augreg_in21k_ft_in1k	93.650	6.350	98.590	1.410	5.79	384	1.000	bicubic
762	resnet34d.ra2_in1k	93.640	6.360	98.540	1.460	21.82	288	0.950	bicubic
763	resnet50s.gluon_in1k	93.640	6.360	98.460	1.540	25.68	224	0.875	bicubic
764	vit_base_patch32_384.augreg_in1k	93.640	6.360	98.400	1.600	88.30	384	1.000	bicubic
765	vit_base_patch16_224.augreg_in1k	93.630	6.370	98.240	1.760	86.57	224	0.900	bicubic
766	tf_efficientnet_b0.ns_jft_in1k	93.620	6.380	98.640	1.360	5.29	224	0.875	bicubic
767	cait_xxs24_224.fb_dist_in1k	93.610	6.390	98.460	1.540	11.96	224	1.000	bicubic
768	coat_tiny.in1k	93.580	6.420	98.420	1.580	5.50	224	0.900	bicubic
769	regnetx_040.pycls_in1k	93.560	6.440	98.530	1.470	22.12	224	0.875	bicubic
770	visformer_tiny.in1k	93.560	6.440	98.490	1.510	10.32	224	0.900	bicubic
771	seresnext26t_32x4d.bt_in1k	93.560	6.440	98.390	1.610	16.81	288	0.950	bicubic
772	hrnet_w44.ms_in1k	93.550	6.450	98.700	1.300	67.06	224	0.875	bilinear
773	hrnet_w18.ms_aug_in1k	93.550	6.450	98.600	1.400	21.30	224	0.950	bilinear
774	hrnet_w32.ms_in1k	93.530	6.470	98.460	1.540	41.23	224	0.875	bilinear
775	xcit_nano_12_p8_384.fb_dist_in1k	93.520	6.480	98.530	1.470	3.05	384	1.000	bicubic
776	botnet26t_256.c1_in1k	93.510	6.490	98.300	1.700	12.49	256	0.950	bicubic
777	repvgg_b2.rvgg_in1k	93.500	6.500	98.730	1.270	89.02	224	0.875	bilinear
778	hrnet_w40.ms_in1k	93.500	6.500	98.570	1.430	57.56	224	0.875	bilinear
779	dla102x.in1k	93.500	6.500	98.500	1.500	26.31	224	0.875	bilinear
780	tf_efficientnet_b1.aa_in1k	93.490	6.510	98.360	1.640	7.79	240	0.882	bicubic
781	inception_v3.gluon_in1k	93.470	6.530	98.570	1.430	23.83	299	0.875	bicubic
782	resnet50d.a3_in1k	93.470	6.530	98.450	1.550	25.58	224	0.950	bicubic
783	legacy_xception.tf_in1k	93.460	6.540	98.530	1.470	22.86	299	0.897	bicubic
784	seresnext26d_32x4d.bt_in1k	93.440	6.560	98.330	1.670	16.81	288	0.950	bicubic
785	mixnet_l.ft_in1k	93.430	6.570	98.220	1.780	7.33	224	0.875	bicubic
786	xception41.tf_in1k	93.420	6.580	98.430	1.570	26.97	299	0.903	bicubic
787	regnety_032.pycls_in1k	93.410	6.590	98.640	1.360	19.44	224	0.875	bicubic
788	xcit_tiny_12_p16_224.fb_dist_in1k	93.410	6.590	98.510	1.490	6.72	224	1.000	bicubic
789	res2net50_26w_6s.in1k	93.400	6.600	98.280	1.720	37.05	224	0.875	bilinear
790	res2net50_26w_8s.in1k	93.390	6.610	98.170	1.830	48.40	224	0.875	bilinear
791	legacy_seresnet152.in1k	93.370	6.630	98.340	1.660	66.82	224	0.875	bilinear
792	dla169.in1k	93.360	6.640	98.610	1.390	53.39	224	0.875	bilinear
793	levit_conv_128.fb_dist_in1k	93.350	6.650	98.370	1.630	9.21	224	0.900	bicubic
794	cs3darknet_m.c2ns_in1k	93.340	6.660	98.600	1.400	9.31	288	0.950	bicubic
795	levit_128.fb_dist_in1k	93.340	6.660	98.370	1.630	9.21	224	0.900	bicubic
796	repvgg_b1.rvgg_in1k	93.330	6.670	98.520	1.480	57.42	224	0.875	bilinear
797	resnest26d.gluon_in1k	93.320	6.680	98.620	1.380	17.07	224	0.875	bilinear
798	resnet152.tv_in1k	93.320	6.680	98.380	1.620	60.19	224	0.875	bilinear
799	bat_resnext26ts.ch_in1k	93.320	6.680	98.360	1.640	10.73	256	0.900	bicubic
800	inception_v3.tf_in1k	93.320	6.680	98.040	1.960	23.83	299	0.875	bicubic
801	tf_mixnet_l.in1k	93.320	6.680	98.030	1.970	7.33	224	0.875	bicubic
802	legacy_seresnet101.in1k	93.310	6.690	98.520	1.480	49.33	224	0.875	bilinear
803	SelecSls60b.in1k	93.310	6.690	98.290	1.710	32.77	224	0.875	bicubic
804	mobilevitv2_100.cvnets_in1k	93.290	6.710	98.280	1.720	4.90	256	0.888	bicubic
805	efficientnet_b1.ft_in1k	93.250	6.750	98.290	1.710	7.79	256	1.000	bicubic
806	coat_lite_tiny.in1k	93.240	6.760	98.260	1.740	5.72	224	0.900	bicubic
807	resnet26t.ra2_in1k	93.200	6.800	98.490	1.510	16.01	320	1.000	bicubic
808	hrnet_w30.ms_in1k	93.200	6.800	98.410	1.590	37.71	224	0.875	bilinear
809	dla60_res2next.in1k	93.190	6.810	98.400	1.600	17.03	224	0.875	bilinear
810	mobilevit_s.cvnets_in1k	93.180	6.820	98.440	1.560	5.58	256	0.900	bicubic
811	dla60_res2net.in1k	93.180	6.820	98.430	1.570	20.85	224	0.875	bilinear
812	efficientnet_es.ra_in1k	93.160	6.840	98.410	1.590	5.44	224	0.875	bicubic
813	wide_resnet50_2.tv_in1k	93.160	6.840	98.370	1.630	68.88	224	0.875	bilinear
814	gcresnext26ts.ch_in1k	93.160	6.840	98.320	1.680	10.48	288	1.000	bicubic
815	ese_vovnet19b_dw.ra_in1k	93.150	6.850	98.250	1.750	6.54	288	0.950	bicubic
816	regnetx_032.pycls_in1k	93.110	6.890	98.390	1.610	15.30	224	0.875	bicubic
817	tf_efficientnetv2_b0.in1k	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
818	resnet34.a1_in1k	93.100	6.900	98.330	1.670	21.80	288	1.000	bicubic
819	pit_xs_224.in1k	93.100	6.900	98.320	1.680	10.62	224	0.900	bicubic
820	convnext_atto_ols.a2_in1k	93.090	6.910	98.470	1.530	3.70	288	0.950	bicubic
821	tf_efficientnet_b1.in1k	93.090	6.910	98.300	1.700	7.79	240	0.882	bicubic
822	dla60x.in1k	93.080	6.920	98.500	1.500	17.35	224	0.875	bilinear
823	dla102.in1k	93.060	6.940	98.550	1.450	33.27	224	0.875	bilinear
824	eca_resnext26ts.ch_in1k	93.060	6.940	98.400	1.600	10.30	288	1.000	bicubic
825	regnety_016.pycls_in1k	93.040	6.960	98.370	1.630	11.20	224	0.875	bicubic
826	resnet50c.gluon_in1k	93.030	6.970	98.400	1.600	25.58	224	0.875	bicubic
827	SelecSls60.in1k	93.020	6.980	98.300	1.700	30.67	224	0.875	bicubic
828	rexnet_100.nav_in1k	93.020	6.980	98.190	1.810	4.80	224	0.875	bicubic
829	repvgg_b1g4.rvgg_in1k	93.000	7.000	98.430	1.570	39.97	224	0.875	bilinear
830	cs3darknet_focus_m.c2ns_in1k	92.970	7.030	98.390	1.610	9.30	288	0.950	bicubic
831	hardcorenas_f.miil_green_in1k	92.970	7.030	98.160	1.840	8.20	224	0.875	bilinear
832	convnextv2_atto.fcmae_ft_in1k	92.970	7.030	98.060	1.940	3.71	288	0.950	bicubic
833	seresnext26ts.ch_in1k	92.960	7.040	98.410	1.590	10.39	288	1.000	bicubic
834	poolformerv2_s12.sail_in1k	92.960	7.040	98.360	1.640	11.89	224	1.000	bicubic
835	legacy_seresnet50.in1k	92.960	7.040	98.180	1.820	28.09	224	0.875	bilinear
836	tf_efficientnet_em.in1k	92.920	7.080	98.210	1.790	6.90	240	0.882	bicubic
837	crossvit_9_dagger_240.in1k	92.900	7.100	98.240	1.760	8.78	240	0.875	bicubic
838	inception_v3.tf_adv_in1k	92.900	7.100	98.140	1.860	23.83	299	0.875	bicubic
839	res2next50.in1k	92.840	7.160	98.180	1.820	24.67	224	0.875	bilinear
840	tf_efficientnet_cc_b0_8e.in1k	92.840	7.160	98.180	1.820	24.01	224	0.875	bicubic
841	gmixer_24_224.ra3_in1k	92.830	7.170	97.880	2.120	24.72	224	0.875	bicubic
842	resmlp_12_224.fb_distilled_in1k	92.820	7.180	98.140	1.860	15.35	224	0.875	bicubic
843	resnet101.tv_in1k	92.810	7.190	98.250	1.750	44.55	224	0.875	bilinear
844	dpn68b.mx_in1k	92.790	7.210	98.150	1.850	12.61	224	0.875	bicubic
845	convnext_atto.d2_in1k	92.790	7.210	98.080	1.920	3.70	288	0.950	bicubic
846	efficientnet_b1_pruned.in1k	92.780	7.220	98.040	1.960	6.33	240	0.882	bicubic
847	res2net50_14w_8s.in1k	92.770	7.230	98.170	1.830	25.06	224	0.875	bilinear
848	resnext50_32x4d.tv_in1k	92.750	7.250	98.270	1.730	25.03	224	0.875	bilinear
849	inception_v3.tv_in1k	92.750	7.250	97.970	2.030	23.83	299	0.875	bicubic
850	densenet201.tv_in1k	92.740	7.260	98.230	1.770	20.01	224	0.875	bicubic
851	resnet50.a3_in1k	92.720	7.280	98.170	1.830	25.56	224	0.950	bicubic
852	resnet34.a2_in1k	92.720	7.280	98.010	1.990	21.80	288	1.000	bicubic
853	efficientnet_b0.ra_in1k	92.690	7.310	98.070	1.930	5.29	224	0.875	bicubic
854	tf_efficientnet_lite2.in1k	92.660	7.340	98.230	1.770	6.09	260	0.890	bicubic
855	legacy_seresnext26_32x4d.in1k	92.640	7.360	98.120	1.880	16.79	224	0.875	bicubic
856	densenetblur121d.ra_in1k	92.620	7.380	98.260	1.740	8.00	288	0.950	bicubic
857	tf_efficientnet_lite1.in1k	92.620	7.380	98.060	1.940	5.42	240	0.882	bicubic
858	poolformer_s12.sail_in1k	92.610	7.390	98.180	1.820	11.92	224	0.900	bicubic
859	tf_efficientnet_cc_b0_4e.in1k	92.590	7.410	98.080	1.920	13.31	224	0.875	bicubic
860	hardcorenas_e.miil_green_in1k	92.580	7.420	98.100	1.900	8.07	224	0.875	bilinear
861	regnetx_008.tv2_in1k	92.550	7.450	98.180	1.820	7.26	224	0.965	bicubic
862	res2net50_48w_2s.in1k	92.550	7.450	98.080	1.920	25.29	224	0.875	bilinear
863	resnet50.gluon_in1k	92.540	7.460	98.170	1.830	25.56	224	0.875	bicubic
864	densenet121.ra_in1k	92.520	7.480	98.220	1.780	7.98	288	0.950	bicubic
865	resnet26d.bt_in1k	92.520	7.480	98.210	1.790	16.01	288	0.950	bicubic
866	xcit_tiny_12_p16_224.fb_in1k	92.510	7.490	98.240	1.760	6.72	224	1.000	bicubic
867	res2net50_26w_4s.in1k	92.490	7.510	98.030	1.970	25.70	224	0.875	bilinear
868	densenet161.tv_in1k	92.480	7.520	98.300	1.700	28.68	224	0.875	bicubic
869	tinynet_a.in1k	92.440	7.560	98.080	1.920	6.19	192	0.875	bicubic
870	hardcorenas_d.miil_green_in1k	92.410	7.590	98.070	1.930	7.50	224	0.875	bilinear
871	mixnet_m.ft_in1k	92.410	7.590	97.870	2.130	5.01	224	0.875	bicubic
872	convmixer_1024_20_ks9_p14.in1k	92.400	7.600	98.270	1.730	24.38	224	0.960	bicubic
873	resnet34.bt_in1k	92.400	7.600	98.150	1.850	21.80	288	0.950	bicubic
874	mobilenetv2_120d.ra_in1k	92.400	7.600	98.060	1.940	5.83	224	0.875	bicubic
875	skresnet34.ra_in1k	92.380	7.620	98.150	1.850	22.28	224	0.875	bicubic
876	hrnet_w18.ms_in1k	92.320	7.680	98.270	1.730	21.30	224	0.875	bilinear
877	tf_mixnet_m.in1k	92.300	7.700	97.890	2.110	5.01	224	0.875	bicubic
878	SelecSls42b.in1k	92.290	7.710	98.110	1.890	32.46	224	0.875	bicubic
879	mobilenetv3_large_100.miil_in21k_ft_in1k	92.260	7.740	97.630	2.370	5.48	224	0.875	bilinear
880	tf_efficientnet_b0.aa_in1k	92.250	7.750	98.000	2.000	5.29	224	0.875	bicubic
881	resmlp_12_224.fb_in1k	92.220	7.780	98.150	1.850	15.35	224	0.875	bicubic
882	dla60.in1k	92.200	7.800	98.110	1.890	22.04	224	0.875	bilinear
883	tf_efficientnet_b0.ap_in1k	92.200	7.800	98.020	1.980	5.29	224	0.875	bicubic
884	regnetx_016.pycls_in1k	92.180	7.820	98.200	1.800	9.19	224	0.875	bicubic
885	gernet_s.idstcv_in1k	92.130	7.870	98.190	1.810	8.17	224	0.875	bilinear
886	resnext26ts.ra2_in1k	92.130	7.870	98.030	1.970	10.30	288	1.000	bicubic
887	xcit_nano_12_p8_224.fb_dist_in1k	92.090	7.910	98.160	1.840	3.05	224	1.000	bicubic
888	seresnet50.a3_in1k	92.070	7.930	98.040	1.960	28.09	224	0.950	bicubic
889	tf_efficientnet_b0.in1k	92.070	7.930	97.920	2.080	5.29	224	0.875	bicubic
890	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	92.040	7.960	98.290	1.710	6.36	384	1.000	bicubic
891	vit_small_patch32_224.augreg_in21k_ft_in1k	92.040	7.960	98.230	1.770	22.88	224	0.900	bicubic
892	hardcorenas_c.miil_green_in1k	92.020	7.980	97.840	2.160	5.52	224	0.875	bilinear
893	resnet26.bt_in1k	91.990	8.010	98.220	1.780	16.00	288	0.950	bicubic
894	dpn68.mx_in1k	91.990	8.010	98.020	1.980	12.61	224	0.875	bicubic
895	efficientformerv2_s0.snap_dist_in1k	91.970	8.030	97.890	2.110	3.60	224	0.950	bicubic
896	tf_efficientnet_es.in1k	91.970	8.030	97.880	2.120	5.44	224	0.875	bicubic
897	levit_128s.fb_dist_in1k	91.960	8.040	98.060	1.940	7.78	224	0.900	bicubic
898	levit_conv_128s.fb_dist_in1k	91.960	8.040	98.060	1.940	7.78	224	0.900	bicubic
899	repvgg_a2.rvgg_in1k	91.940	8.060	98.140	1.860	28.21	224	0.875	bilinear
900	densenet169.tv_in1k	91.940	8.060	98.100	1.900	14.15	224	0.875	bicubic
901	mixer_b16_224.goog_in21k_ft_in1k	91.880	8.120	97.260	2.740	59.88	224	0.875	bicubic
902	resnet50.tv_in1k	91.870	8.130	98.040	1.960	25.56	224	0.875	bilinear
903	mobilenetv2_140.ra_in1k	91.840	8.160	97.860	2.140	6.11	224	0.875	bicubic
904	xcit_nano_12_p16_384.fb_dist_in1k	91.830	8.170	98.020	1.980	3.05	384	1.000	bicubic
905	mixnet_s.ft_in1k	91.830	8.170	97.690	2.310	4.13	224	0.875	bicubic
906	vit_tiny_patch16_224.augreg_in21k_ft_in1k	91.760	8.240	98.040	1.960	5.72	224	0.900	bicubic
907	mobilevitv2_075.cvnets_in1k	91.760	8.240	97.860	2.140	2.87	256	0.888	bicubic
908	hardcorenas_b.miil_green_in1k	91.760	8.240	97.770	2.230	5.18	224	0.875	bilinear
909	regnety_008.pycls_in1k	91.730	8.270	98.180	1.820	6.26	224	0.875	bicubic
910	resnest14d.gluon_in1k	91.720	8.280	97.870	2.130	10.61	224	0.875	bilinear
911	edgenext_x_small.in1k	91.710	8.290	97.600	2.400	2.34	288	1.000	bicubic
912	regnety_004.tv2_in1k	91.580	8.420	97.890	2.110	4.34	224	0.965	bicubic
913	tf_mixnet_s.in1k	91.520	8.480	97.620	2.380	4.13	224	0.875	bicubic
914	repvgg_b0.rvgg_in1k	91.400	8.600	98.000	2.000	15.82	224	0.875	bilinear
915	regnety_006.pycls_in1k	91.390	8.610	97.700	2.300	6.06	224	0.875	bicubic
916	hardcorenas_a.miil_green_in1k	91.350	8.650	97.850	2.150	5.26	224	0.875	bilinear
917	mobilenetv3_large_100.ra_in1k	91.350	8.650	97.710	2.290	5.48	224	0.875	bicubic
918	semnasnet_100.rmsp_in1k	91.310	8.690	97.560	2.440	3.89	224	0.875	bicubic
919	tf_mobilenetv3_large_100.in1k	91.240	8.760	97.660	2.340	5.48	224	0.875	bilinear
920	mobilenetv3_rw.rmsp_in1k	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
921	hrnet_w18_small_v2.ms_in1k	91.200	8.800	97.900	2.100	15.60	224	0.875	bilinear
922	vit_base_patch32_224.augreg_in1k	91.190	8.810	97.390	2.610	88.22	224	0.900	bicubic
923	efficientnet_es_pruned.in1k	91.170	8.830	97.740	2.260	5.44	224	0.875	bicubic
924	efficientnet_lite0.ra_in1k	91.120	8.880	97.630	2.370	4.65	224	0.875	bicubic
925	regnetx_008.pycls_in1k	91.050	8.950	97.720	2.280	7.26	224	0.875	bicubic
926	tf_efficientnet_lite0.in1k	91.050	8.950	97.580	2.420	4.65	224	0.875	bicubic
927	xcit_nano_12_p8_224.fb_in1k	91.010	8.990	97.780	2.220	3.05	224	1.000	bicubic
928	resnet34.gluon_in1k	90.970	9.030	97.630	2.370	21.80	224	0.875	bicubic
929	mobilenetv2_110d.ra_in1k	90.970	9.030	97.540	2.460	4.52	224	0.875	bicubic
930	tinynet_b.in1k	90.920	9.080	97.660	2.340	3.73	188	0.875	bicubic
931	legacy_seresnet34.in1k	90.900	9.100	97.580	2.420	21.96	224	0.875	bilinear
932	densenet121.tv_in1k	90.890	9.110	97.710	2.290	7.98	224	0.875	bicubic
933	mobilevit_xs.cvnets_in1k	90.800	9.200	97.930	2.070	2.32	256	0.900	bicubic
934	pit_ti_distilled_224.in1k	90.770	9.230	97.610	2.390	5.10	224	0.900	bicubic
935	dla34.in1k	90.760	9.240	97.650	2.350	15.74	224	0.875	bilinear
936	fbnetc_100.rmsp_in1k	90.730	9.270	97.210	2.790	5.57	224	0.875	bilinear
937	deit_tiny_distilled_patch16_224.fb_in1k	90.710	9.290	97.560	2.440	5.91	224	0.900	bicubic
938	resnet18.fb_swsl_ig1b_ft_in1k	90.700	9.300	97.700	2.300	11.69	224	0.875	bilinear
939	convit_tiny.fb_in1k	90.660	9.340	97.730	2.270	5.71	224	0.875	bicubic
940	crossvit_9_240.in1k	90.640	9.360	97.730	2.270	8.55	240	0.875	bicubic
941	regnetx_004_tv.tv2_in1k	90.640	9.360	97.590	2.410	5.50	224	0.965	bicubic
942	mnasnet_100.rmsp_in1k	90.500	9.500	97.470	2.530	4.38	224	0.875	bicubic
943	regnety_004.pycls_in1k	90.490	9.510	97.530	2.470	4.34	224	0.875	bicubic
944	regnetx_006.pycls_in1k	90.350	9.650	97.430	2.570	6.20	224	0.875	bicubic
945	spnasnet_100.rmsp_in1k	90.330	9.670	97.190	2.810	4.42	224	0.875	bilinear
946	resnet18d.ra2_in1k	90.280	9.720	97.560	2.440	11.71	288	0.950	bicubic
947	crossvit_tiny_240.in1k	90.230	9.770	97.590	2.410	7.01	240	0.875	bicubic
948	resnet18.fb_ssl_yfcc100m_ft_in1k	90.210	9.790	97.540	2.460	11.69	224	0.875	bilinear
949	semnasnet_075.rmsp_in1k	90.090	9.910	97.440	2.560	2.91	224	0.875	bicubic
950	vgg16_bn.tv_in1k	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
951	vgg19_bn.tv_in1k	90.080	9.920	97.580	2.420	143.68	224	0.875	bilinear
952	ghostnet_100.in1k	90.030	9.970	97.370	2.630	5.18	224	0.875	bilinear
953	resnet34.tv_in1k	89.950	10.050	97.340	2.660	21.80	224	0.875	bilinear
954	pit_ti_224.in1k	89.940	10.060	97.450	2.550	4.85	224	0.900	bicubic
955	resnet34.a3_in1k	89.940	10.060	97.180	2.820	21.80	224	0.950	bicubic
956	vit_base_patch32_224.sam_in1k	89.740	10.260	97.000	3.000	88.22	224	0.900	bicubic
957	xcit_nano_12_p16_224.fb_dist_in1k	89.710	10.290	97.100	2.900	3.05	224	1.000	bicubic
958	resnet18.a1_in1k	89.680	10.320	97.100	2.900	11.69	288	1.000	bicubic
959	skresnet18.ra_in1k	89.660	10.340	97.230	2.770	11.96	224	0.875	bicubic
960	tf_mobilenetv3_large_075.in1k	89.660	10.340	97.190	2.810	3.99	224	0.875	bilinear
961	deit_tiny_patch16_224.fb_in1k	89.650	10.350	97.460	2.540	5.72	224	0.900	bicubic
962	mobilenetv2_100.ra_in1k	89.580	10.420	97.140	2.860	3.50	224	0.875	bicubic
963	resnet18.a2_in1k	89.570	10.430	96.960	3.040	11.69	288	1.000	bicubic
964	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	89.180	10.820	97.220	2.780	6.34	224	0.900	bicubic
965	hrnet_w18_small.ms_in1k	89.050	10.950	97.120	2.880	13.19	224	0.875	bilinear
966	vgg19.tv_in1k	89.050	10.950	96.870	3.130	143.67	224	0.875	bilinear
967	resnet14t.c3_in1k	89.000	11.000	96.730	3.270	10.08	224	0.950	bicubic
968	tf_mobilenetv3_large_minimal_100.in1k	88.950	11.050	96.860	3.140	3.92	224	0.875	bilinear
969	regnetx_004.pycls_in1k	88.890	11.110	97.110	2.890	5.16	224	0.875	bicubic
970	legacy_seresnet18.in1k	88.890	11.110	96.980	3.020	11.78	224	0.875	bicubic
971	edgenext_xx_small.in1k	88.890	11.110	96.700	3.300	1.33	288	1.000	bicubic
972	pvt_v2_b0.in1k	88.780	11.220	96.860	3.140	3.67	224	0.900	bicubic
973	vgg13_bn.tv_in1k	88.750	11.250	96.980	3.020	133.05	224	0.875	bilinear
974	lcnet_100.ra2_in1k	88.750	11.250	96.720	3.280	2.95	224	0.875	bicubic
975	xcit_nano_12_p16_224.fb_in1k	88.620	11.380	96.790	3.210	3.05	224	1.000	bicubic
976	vgg16.tv_in1k	88.560	11.440	96.800	3.200	138.36	224	0.875	bilinear
977	resnet18.gluon_in1k	88.370	11.630	96.670	3.330	11.69	224	0.875	bicubic
978	mobilevitv2_050.cvnets_in1k	88.190	11.810	96.990	3.010	1.37	256	0.888	bicubic
979	tinynet_c.in1k	87.790	12.210	96.370	3.630	2.46	184	0.875	bicubic
980	vgg11_bn.tv_in1k	87.500	12.500	96.820	3.180	132.87	224	0.875	bilinear
981	resnet18.tv_in1k	87.380	12.620	96.290	3.710	11.69	224	0.875	bilinear
982	regnety_002.pycls_in1k	87.370	12.630	96.610	3.390	3.16	224	0.875	bicubic
983	mobilevit_xxs.cvnets_in1k	87.150	12.850	96.100	3.900	1.27	256	0.900	bicubic
984	mixer_l16_224.goog_in21k_ft_in1k	87.150	12.850	93.520	6.480	208.20	224	0.875	bicubic
985	vgg13.tv_in1k	87.040	12.960	96.330	3.670	133.05	224	0.875	bilinear
986	vgg11.tv_in1k	86.580	13.420	96.280	3.720	132.86	224	0.875	bilinear
987	resnet18.a3_in1k	86.450	13.550	95.880	4.120	11.69	224	0.950	bicubic
988	dla60x_c.in1k	86.280	13.720	96.160	3.840	1.32	224	0.875	bilinear
989	resnet10t.c3_in1k	86.220	13.780	95.740	4.260	5.44	224	0.950	bicubic
990	regnetx_002.pycls_in1k	86.140	13.860	95.960	4.040	2.68	224	0.875	bicubic
991	lcnet_075.ra2_in1k	85.970	14.030	95.680	4.320	2.36	224	0.875	bicubic
992	mobilenetv3_small_100.lamb_in1k	85.220	14.780	95.650	4.350	2.54	224	0.875	bicubic
993	tf_mobilenetv3_small_100.in1k	85.190	14.810	95.770	4.230	2.54	224	0.875	bilinear
994	tinynet_d.in1k	84.720	15.280	95.170	4.830	2.34	152	0.875	bicubic
995	mnasnet_small.lamb_in1k	84.420	15.580	95.190	4.810	2.03	224	0.875	bicubic
996	dla46x_c.in1k	84.200	15.800	95.270	4.730	1.07	224	0.875	bilinear
997	mobilenetv2_050.lamb_in1k	83.900	16.100	94.730	5.270	1.97	224	0.875	bicubic
998	dla46_c.in1k	83.610	16.390	94.950	5.050	1.30	224	0.875	bilinear
999	tf_mobilenetv3_small_075.in1k	83.500	16.500	94.840	5.160	2.04	224	0.875	bilinear
1000	mobilenetv3_small_075.lamb_in1k	83.030	16.970	94.100	5.900	2.04	224	0.875	bicubic
1001	lcnet_050.ra2_in1k	81.780	18.220	93.740	6.260	1.88	224	0.875	bicubic
1002	tf_mobilenetv3_small_minimal_100.in1k	81.400	18.600	93.680	6.320	2.04	224	0.875	bilinear
1003	tinynet_e.in1k	78.920	21.080	92.540	7.460	2.04	106	0.875	bicubic
1004	mobilenetv3_small_050.lamb_in1k	77.020	22.980	91.300	8.700	1.59	224	0.875	bicubic