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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	beit_large_patch16_384	97.820	2.180	99.790	0.210	305.00	384	1.000	bicubic
3	beit_large_patch16_512	97.770	2.230	99.810	0.190	305.67	512	1.000	bicubic
4	tf_efficientnet_l2_ns	97.770	2.230	99.890	0.110	480.31	800	0.960	bicubic
5	tf_efficientnet_l2_ns_475	97.750	2.250	99.820	0.180	480.31	475	0.936	bicubic
6	beit_large_patch16_224	97.470	2.530	99.690	0.310	304.43	224	0.900	bicubic
7	vit_large_patch16_384	97.420	2.580	99.780	0.220	304.72	384	1.000	bicubic
8	beit_base_patch16_384	97.350	2.650	99.710	0.290	86.74	384	1.000	bicubic
9	tf_efficientnet_b7_ns	97.210	2.790	99.700	0.300	66.35	600	0.949	bicubic
10	swin_large_patch4_window12_384	97.180	2.820	99.690	0.310	196.74	384	1.000	bicubic
11	tf_efficientnetv2_xl_in21ft1k	97.150	2.850	99.620	0.380	208.12	512	1.000	bicubic
12	tf_efficientnetv2_l_in21ft1k	97.110	2.890	99.700	0.300	118.52	480	1.000	bicubic
13	swin_base_patch4_window12_384	97.070	2.930	99.770	0.230	87.90	384	1.000	bicubic
14	tf_efficientnet_b6_ns	97.030	2.970	99.710	0.290	43.04	528	0.942	bicubic
15	vit_base_patch16_384	97.020	2.980	99.700	0.300	86.86	384	1.000	bicubic
16	ig_resnext101_32x48d	96.960	3.040	99.670	0.330	828.41	224	0.875	bilinear
17	swin_large_patch4_window7_224	96.950	3.050	99.660	0.340	196.53	224	0.900	bicubic
18	tf_efficientnetv2_m_in21ft1k	96.950	3.050	99.610	0.390	54.14	480	1.000	bicubic
19	vit_large_r50_s32_384	96.950	3.050	99.720	0.280	329.09	384	1.000	bicubic
20	xcit_large_24_p16_384_dist	96.930	3.070	99.510	0.490	189.10	384	1.000	bicubic
21	dm_nfnet_f6	96.910	3.090	99.720	0.280	438.36	576	0.956	bicubic
22	resnetv2_152x4_bitm	96.880	3.120	99.660	0.340	936.53	480	1.000	bilinear
23	tf_efficientnet_b5_ns	96.880	3.120	99.640	0.360	30.39	456	0.934	bicubic
24	cait_m48_448	96.870	3.130	99.620	0.380	356.46	448	1.000	bicubic
25	xcit_small_24_p8_384_dist	96.830	3.170	99.630	0.370	47.63	384	1.000	bicubic
26	cait_m36_384	96.820	3.180	99.660	0.340	271.22	384	1.000	bicubic
27	dm_nfnet_f5	96.800	3.200	99.670	0.330	377.21	544	0.954	bicubic
28	dm_nfnet_f4	96.780	3.220	99.620	0.380	316.07	512	0.951	bicubic
29	ig_resnext101_32x32d	96.780	3.220	99.530	0.470	468.53	224	0.875	bilinear
30	xcit_medium_24_p8_384_dist	96.780	3.220	99.620	0.380	84.32	384	1.000	bicubic
31	xcit_large_24_p8_384_dist	96.760	3.240	99.560	0.440	188.93	384	1.000	bicubic
32	dm_nfnet_f3	96.720	3.280	99.630	0.370	254.92	416	0.940	bicubic
33	tf_efficientnet_b4_ns	96.710	3.290	99.640	0.360	19.34	380	0.922	bicubic
34	vit_large_patch16_224	96.710	3.290	99.650	0.350	304.33	224	0.900	bicubic
35	tf_efficientnet_b8	96.700	3.300	99.550	0.450	87.41	672	0.954	bicubic
36	xcit_medium_24_p16_384_dist	96.690	3.310	99.600	0.400	84.40	384	1.000	bicubic
37	swin_base_patch4_window7_224	96.670	3.330	99.670	0.330	87.77	224	0.900	bicubic
38	beit_base_patch16_224	96.650	3.350	99.660	0.340	86.53	224	0.900	bicubic
39	tf_efficientnetv2_l	96.650	3.350	99.570	0.430	118.52	480	1.000	bicubic
40	cait_s36_384	96.630	3.370	99.590	0.410	68.37	384	1.000	bicubic
41	xcit_large_24_p8_224_dist	96.620	3.380	99.460	0.540	188.93	224	1.000	bicubic
42	cait_s24_384	96.580	3.420	99.550	0.450	47.06	384	1.000	bicubic
43	tf_efficientnet_b7	96.580	3.420	99.510	0.490	66.35	600	0.949	bicubic
44	tf_efficientnet_b8_ap	96.560	3.440	99.550	0.450	87.41	672	0.954	bicubic
45	tf_efficientnetv2_m	96.550	3.450	99.570	0.430	54.14	480	1.000	bicubic
46	xcit_small_24_p8_224_dist	96.550	3.450	99.560	0.440	47.63	224	1.000	bicubic
47	resnetv2_152x2_bitm	96.520	3.480	99.590	0.410	236.34	448	1.000	bilinear
48	xcit_medium_24_p8_224_dist	96.500	3.500	99.500	0.500	84.32	224	1.000	bicubic
49	deit_base_distilled_patch16_384	96.490	3.510	99.590	0.410	87.63	384	1.000	bicubic
50	xcit_small_12_p8_384_dist	96.480	3.520	99.480	0.520	26.21	384	1.000	bicubic
51	vit_base_r50_s16_384	96.470	3.530	99.660	0.340	98.95	384	1.000	bicubic
52	ecaresnet269d	96.460	3.540	99.610	0.390	102.09	352	1.000	bicubic
53	tf_efficientnetv2_s_in21ft1k	96.460	3.540	99.570	0.430	21.46	384	1.000	bicubic
54	eca_nfnet_l2	96.460	3.540	99.630	0.370	56.72	384	1.000	bicubic
55	dm_nfnet_f2	96.450	3.550	99.540	0.460	193.78	352	0.920	bicubic
56	ig_resnext101_32x16d	96.430	3.570	99.540	0.460	194.03	224	0.875	bilinear
57	resnetrs420	96.400	3.600	99.540	0.460	191.89	416	1.000	bicubic
58	dm_nfnet_f1	96.370	3.630	99.480	0.520	132.63	320	0.910	bicubic
59	tf_efficientnet_b6_ap	96.360	3.640	99.550	0.450	43.04	528	0.942	bicubic
60	xcit_small_24_p16_384_dist	96.360	3.640	99.590	0.410	47.67	384	1.000	bicubic
61	tf_efficientnet_b7_ap	96.350	3.650	99.600	0.400	66.35	600	0.949	bicubic
62	resmlp_big_24_224_in22ft1k	96.340	3.660	99.510	0.490	129.14	224	0.875	bicubic
63	seresnet152d	96.330	3.670	99.510	0.490	66.84	320	1.000	bicubic
64	xcit_small_12_p16_384_dist	96.330	3.670	99.490	0.510	26.25	384	1.000	bicubic
65	xcit_large_24_p16_224_dist	96.310	3.690	99.500	0.500	189.10	224	1.000	bicubic
66	vit_base_patch16_224	96.300	3.700	99.560	0.440	86.57	224	0.900	bicubic
67	resnetv2_50x3_bitm	96.290	3.710	99.630	0.370	217.32	448	1.000	bilinear
68	resnetv2_101x3_bitm	96.290	3.710	99.580	0.420	387.93	448	1.000	bilinear
69	tf_efficientnet_b6	96.280	3.720	99.520	0.480	43.04	528	0.942	bicubic
70	swsl_resnext101_32x16d	96.280	3.720	99.500	0.500	194.03	224	0.875	bilinear
71	efficientnetv2_rw_m	96.270	3.730	99.560	0.440	53.24	416	1.000	bicubic
72	xcit_medium_24_p16_224_dist	96.260	3.740	99.400	0.600	84.40	224	1.000	bicubic
73	xcit_tiny_24_p8_384_dist	96.250	3.750	99.440	0.560	12.11	384	1.000	bicubic
74	resnetrs350	96.240	3.760	99.470	0.530	163.96	384	1.000	bicubic
75	swsl_resnext101_32x8d	96.230	3.770	99.590	0.410	88.79	224	0.875	bilinear
76	vit_large_r50_s32_224	96.190	3.810	99.530	0.470	328.99	224	0.900	bicubic
77	resnetv2_152x2_bit_teacher_384	96.170	3.830	99.510	0.490	236.34	384	1.000	bicubic
78	resnest269e	96.120	3.880	99.520	0.480	110.93	416	0.928	bicubic
79	crossvit_18_dagger_408	96.110	3.890	99.470	0.530	44.61	408	1.000	bicubic
80	resnet200d	96.110	3.890	99.460	0.540	64.69	320	1.000	bicubic
81	tf_efficientnet_b3_ns	96.110	3.890	99.470	0.530	12.23	300	0.904	bicubic
82	tf_efficientnet_b5_ap	96.080	3.920	99.540	0.460	30.39	456	0.934	bicubic
83	resnest200e	96.080	3.920	99.470	0.530	70.20	320	0.909	bicubic
84	pit_b_distilled_224	96.080	3.920	99.380	0.620	74.79	224	0.900	bicubic
85	resnetrs270	96.070	3.930	99.480	0.520	129.86	352	1.000	bicubic
86	xcit_large_24_p8_224	96.060	3.940	99.150	0.850	188.93	224	1.000	bicubic
87	vit_small_r26_s32_384	96.060	3.940	99.550	0.450	36.47	384	1.000	bicubic
88	swsl_resnext101_32x4d	96.050	3.950	99.540	0.460	44.18	224	0.875	bilinear
89	vit_base_patch16_224_miil	96.040	3.960	99.350	0.650	86.54	224	0.875	bilinear
90	cait_xs24_384	96.010	3.990	99.430	0.570	26.67	384	1.000	bicubic
91	resnetrs200	96.000	4.000	99.440	0.560	93.21	320	1.000	bicubic
92	tf_efficientnet_b5	95.980	4.020	99.450	0.550	30.39	456	0.934	bicubic
93	vit_small_patch16_384	95.980	4.020	99.600	0.400	22.20	384	1.000	bicubic
94	resnetrs152	95.960	4.040	99.380	0.620	86.62	320	1.000	bicubic
95	xcit_small_12_p8_224_dist	95.960	4.040	99.420	0.580	26.21	224	1.000	bicubic
96	ig_resnext101_32x8d	95.950	4.050	99.390	0.610	88.79	224	0.875	bilinear
97	eca_nfnet_l1	95.920	4.080	99.500	0.500	41.41	320	1.000	bicubic
98	xcit_small_24_p8_224	95.910	4.090	99.180	0.820	47.63	224	1.000	bicubic
99	vit_base_patch32_384	95.910	4.090	99.440	0.560	88.30	384	1.000	bicubic
100	regnety_160	95.900	4.100	99.560	0.440	83.59	288	1.000	bicubic
101	xcit_medium_24_p8_224	95.870	4.130	99.090	0.910	84.32	224	1.000	bicubic
102	resmlp_big_24_distilled_224	95.870	4.130	99.440	0.560	129.14	224	0.875	bicubic
103	regnetz_d	95.860	4.140	99.440	0.560	27.58	320	0.950	bicubic
104	resnet152d	95.850	4.150	99.430	0.570	60.21	320	1.000	bicubic
105	crossvit_15_dagger_408	95.820	4.180	99.300	0.700	28.50	408	1.000	bicubic
106	xcit_small_24_p16_224_dist	95.810	4.190	99.340	0.660	47.67	224	1.000	bicubic
107	deit_base_distilled_patch16_224	95.780	4.220	99.280	0.720	87.34	224	0.900	bicubic
108	resnet101d	95.750	4.250	99.440	0.560	44.57	320	1.000	bicubic
109	xcit_small_12_p16_224_dist	95.750	4.250	99.290	0.710	26.25	224	1.000	bicubic
110	resnetv2_152x2_bit_teacher	95.730	4.270	99.430	0.570	236.34	224	0.875	bicubic
111	twins_pcpvt_large	95.720	4.280	99.490	0.510	60.99	224	0.900	bicubic
112	twins_svt_large	95.720	4.280	99.370	0.630	99.27	224	0.900	bicubic
113	swin_small_patch4_window7_224	95.720	4.280	99.290	0.710	49.61	224	0.900	bicubic
114	tf_efficientnetv2_s	95.710	4.290	99.400	0.600	21.46	384	1.000	bicubic
115	dm_nfnet_f0	95.710	4.290	99.330	0.670	71.49	256	0.900	bicubic
116	efficientnetv2_rw_s	95.700	4.300	99.380	0.620	23.94	384	1.000	bicubic
117	deit_base_patch16_384	95.660	4.340	99.240	0.760	86.86	384	1.000	bicubic
118	cait_s24_224	95.640	4.360	99.390	0.610	46.92	224	1.000	bicubic
119	tf_efficientnet_b4	95.590	4.410	99.320	0.680	19.34	380	0.922	bicubic
120	swsl_resnext50_32x4d	95.590	4.410	99.440	0.560	25.03	224	0.875	bilinear
121	resnest101e	95.580	4.420	99.270	0.730	48.28	256	0.875	bilinear
122	twins_svt_base	95.570	4.430	99.230	0.770	56.07	224	0.900	bicubic
123	efficientnet_b4	95.540	4.460	99.400	0.600	19.34	384	1.000	bicubic
124	jx_nest_small	95.540	4.460	99.230	0.770	38.35	224	0.875	bicubic
125	jx_nest_base	95.530	4.470	99.300	0.700	67.72	224	0.875	bicubic
126	tf_efficientnet_b2_ns	95.530	4.470	99.340	0.660	9.11	260	0.890	bicubic
127	tresnet_xl_448	95.520	4.480	99.340	0.660	78.44	448	0.875	bilinear
128	tf_efficientnet_b4_ap	95.500	4.500	99.390	0.610	19.34	380	0.922	bicubic
129	regnety_032	95.470	4.530	99.320	0.680	19.44	288	1.000	bicubic
130	twins_pcpvt_base	95.470	4.530	99.380	0.620	43.83	224	0.900	bicubic
131	xcit_tiny_24_p16_384_dist	95.460	4.540	99.350	0.650	12.12	384	1.000	bicubic
132	xcit_tiny_24_p8_224_dist	95.460	4.540	99.370	0.630	12.11	224	1.000	bicubic
133	eca_nfnet_l0	95.450	4.550	99.390	0.610	24.14	288	1.000	bicubic
134	nfnet_l0	95.420	4.580	99.430	0.570	35.07	288	1.000	bicubic
135	xcit_small_12_p8_224	95.420	4.580	99.200	0.800	26.21	224	1.000	bicubic
136	regnetz_c	95.410	4.590	99.310	0.690	13.46	320	0.940	bicubic
137	ssl_resnext101_32x16d	95.400	4.600	99.410	0.590	194.03	224	0.875	bilinear
138	tresnet_m	95.400	4.600	99.150	0.850	31.39	224	0.875	bilinear
139	resnetv2_50x1_bit_distilled	95.390	4.610	99.430	0.570	25.55	224	0.875	bicubic
140	tresnet_l_448	95.390	4.610	99.280	0.720	55.99	448	0.875	bilinear
141	pnasnet5large	95.370	4.630	99.130	0.870	86.06	331	0.911	bicubic
142	xcit_tiny_12_p8_384_dist	95.340	4.660	99.340	0.660	6.71	384	1.000	bicubic
143	resnetv2_101x1_bitm	95.330	4.670	99.380	0.620	44.54	448	1.000	bilinear
144	ssl_resnext101_32x8d	95.320	4.680	99.310	0.690	88.79	224	0.875	bilinear
145	gc_efficientnetv2_rw_t	95.280	4.720	99.220	0.780	13.68	288	1.000	bicubic
146	vit_large_patch32_384	95.250	4.750	99.320	0.680	306.63	384	1.000	bicubic
147	cait_xxs36_384	95.240	4.760	99.330	0.670	17.37	384	1.000	bicubic
148	resnetrs101	95.230	4.770	99.210	0.790	63.62	288	0.940	bicubic
149	swsl_resnet50	95.220	4.780	99.400	0.600	25.56	224	0.875	bilinear
150	levit_384	95.200	4.800	99.160	0.840	39.13	224	0.900	bicubic
151	resnet51q	95.190	4.810	99.280	0.720	35.70	288	1.000	bilinear
152	crossvit_18_dagger_240	95.180	4.820	99.120	0.880	44.27	240	0.875	bicubic
153	nasnetalarge	95.170	4.830	99.130	0.870	88.75	331	0.911	bicubic
154	ecaresnet101d	95.160	4.840	99.230	0.770	44.57	224	0.875	bicubic
155	efficientnet_b3	95.150	4.850	99.210	0.790	12.23	320	1.000	bicubic
156	ssl_resnext101_32x4d	95.140	4.860	99.310	0.690	44.18	224	0.875	bilinear
157	xcit_medium_24_p16_224	95.130	4.870	98.930	1.070	84.40	224	1.000	bicubic
158	tf_efficientnetv2_b3	95.120	4.880	99.190	0.810	14.36	300	0.904	bicubic
159	vit_small_r26_s32_224	95.120	4.880	99.220	0.780	36.43	224	0.900	bicubic
160	coat_lite_small	95.110	4.890	99.030	0.970	19.84	224	0.900	bicubic
161	ecaresnet50t	95.110	4.890	99.290	0.710	25.57	320	0.950	bicubic
162	resnet61q	95.110	4.890	99.080	0.920	36.85	288	1.000	bicubic
163	convit_base	95.100	4.900	99.130	0.870	86.54	224	0.875	bicubic
164	tresnet_xl	95.080	4.920	99.250	0.750	78.44	224	0.875	bilinear
165	efficientnetv2_rw_t	95.080	4.920	99.220	0.780	13.65	288	1.000	bicubic
166	xcit_small_24_p16_224	95.070	4.930	99.060	0.940	47.67	224	1.000	bicubic
167	crossvit_base_240	95.060	4.940	98.980	1.020	105.03	240	0.875	bicubic
168	crossvit_18_240	95.050	4.950	99.120	0.880	43.27	240	0.875	bicubic
169	deit_base_patch16_224	95.020	4.980	98.970	1.030	86.57	224	0.900	bicubic
170	visformer_small	94.970	5.030	99.210	0.790	40.22	224	0.900	bicubic
171	crossvit_15_dagger_240	94.970	5.030	99.150	0.850	28.21	240	0.875	bicubic
172	tf_efficientnet_b3_ap	94.960	5.040	99.110	0.890	12.23	300	0.904	bicubic
173	xcit_large_24_p16_224	94.950	5.050	98.830	1.170	189.10	224	1.000	bicubic
174	convmixer_1536_20	94.950	5.050	99.170	0.830	51.63	224	0.960	bicubic
175	cait_xxs24_384	94.940	5.060	99.130	0.870	12.03	384	1.000	bicubic
176	jx_nest_tiny	94.940	5.060	99.100	0.900	17.06	224	0.875	bicubic
177	resnetv2_101	94.930	5.070	99.110	0.890	44.54	224	0.950	bicubic
178	convit_small	94.920	5.080	99.120	0.880	27.78	224	0.875	bicubic
179	gernet_l	94.920	5.080	99.200	0.800	31.08	256	0.875	bilinear
180	tf_efficientnet_b3	94.910	5.090	99.100	0.900	12.23	300	0.904	bicubic
181	vit_small_patch16_224	94.900	5.100	99.280	0.720	22.05	224	0.900	bicubic
182	tresnet_l	94.900	5.100	99.030	0.970	55.99	224	0.875	bilinear
183	mixer_b16_224_miil	94.890	5.110	99.080	0.920	59.88	224	0.875	bilinear
184	tf_efficientnet_b1_ns	94.880	5.120	99.250	0.750	7.79	240	0.882	bicubic
185	xcit_tiny_24_p8_224	94.870	5.130	99.190	0.810	12.11	224	1.000	bicubic
186	tf_efficientnet_lite4	94.870	5.130	99.090	0.910	13.01	380	0.920	bilinear
187	xcit_small_12_p16_224	94.810	5.190	99.060	0.940	26.25	224	1.000	bicubic
188	seresnext50_32x4d	94.800	5.200	99.130	0.870	27.56	224	0.875	bicubic
189	pit_b_224	94.790	5.210	98.810	1.190	73.76	224	0.900	bicubic
190	twins_svt_small	94.770	5.230	99.080	0.920	24.06	224	0.900	bicubic
191	coat_mini	94.760	5.240	98.950	1.050	10.34	224	0.900	bicubic
192	resnetv2_50x1_bitm	94.760	5.240	99.180	0.820	25.55	448	1.000	bilinear
193	pit_s_distilled_224	94.750	5.250	99.180	0.820	24.04	224	0.900	bicubic
194	xcit_tiny_12_p8_224_dist	94.740	5.260	99.180	0.820	6.71	224	1.000	bicubic
195	legacy_senet154	94.730	5.270	99.100	0.900	115.09	224	0.875	bilinear
196	resnest50d_4s2x40d	94.710	5.290	99.130	0.870	30.42	224	0.875	bicubic
197	ssl_resnext50_32x4d	94.700	5.300	99.240	0.760	25.03	224	0.875	bilinear
198	gluon_senet154	94.700	5.300	98.970	1.030	115.09	224	0.875	bicubic
199	gluon_resnet152_v1s	94.690	5.310	99.050	0.950	60.32	224	0.875	bicubic
200	regnetz_b	94.690	5.310	99.160	0.840	9.72	288	0.940	bicubic
201	crossvit_15_240	94.680	5.320	99.070	0.930	27.53	240	0.875	bicubic
202	efficientnet_el	94.670	5.330	99.130	0.870	10.59	300	0.904	bicubic
203	rexnet_200	94.670	5.330	99.090	0.910	16.37	224	0.875	bicubic
204	tresnet_m_448	94.670	5.330	99.170	0.830	31.39	448	0.875	bilinear
205	gluon_seresnext101_64x4d	94.660	5.340	98.970	1.030	88.23	224	0.875	bicubic
206	wide_resnet50_2	94.650	5.350	99.050	0.950	68.88	224	0.875	bicubic
207	swin_tiny_patch4_window7_224	94.640	5.360	99.120	0.880	28.29	224	0.900	bicubic
208	resnest50d	94.620	5.380	99.030	0.970	27.48	224	0.875	bilinear
209	gcresnet50t	94.610	5.390	98.990	1.010	25.90	256	0.900	bicubic
210	lamhalobotnet50ts_256	94.610	5.390	98.610	1.390	22.57	256	0.950	bicubic
211	twins_pcpvt_small	94.600	5.400	99.140	0.860	24.11	224	0.900	bicubic
212	deit_small_distilled_patch16_224	94.590	5.410	99.090	0.910	22.44	224	0.900	bicubic
213	pit_s_224	94.590	5.410	98.930	1.070	23.46	224	0.900	bicubic
214	crossvit_small_240	94.590	5.410	99.120	0.880	26.86	240	0.875	bicubic
215	efficientnet_b3_pruned	94.580	5.420	99.070	0.930	9.86	300	0.904	bicubic
216	tnt_s_patch16_224	94.570	5.430	99.180	0.820	23.76	224	0.900	bicubic
217	vit_small_patch32_384	94.570	5.430	99.140	0.860	22.92	384	1.000	bicubic
218	lambda_resnet50ts	94.560	5.440	98.650	1.350	21.54	256	0.950	bicubic
219	repvgg_b3	94.560	5.440	98.910	1.090	123.09	224	0.875	bilinear
220	gernet_m	94.550	5.450	98.920	1.080	21.14	224	0.875	bilinear
221	halo2botnet50ts_256	94.550	5.450	98.760	1.240	22.64	256	0.950	bicubic
222	resmlp_36_distilled_224	94.550	5.450	99.160	0.840	44.69	224	0.875	bicubic
223	xcit_tiny_12_p16_384_dist	94.540	5.460	99.170	0.830	6.72	384	1.000	bicubic
224	sehalonet33ts	94.530	5.470	98.780	1.220	13.69	256	0.940	bicubic
225	regnety_320	94.500	5.500	99.170	0.830	145.05	224	0.875	bicubic
226	haloregnetz_b	94.500	5.500	98.960	1.040	11.68	224	0.940	bicubic
227	repvgg_b3g4	94.490	5.510	99.020	0.980	83.83	224	0.875	bilinear
228	gluon_resnet152_v1d	94.460	5.540	99.000	1.000	60.21	224	0.875	bicubic
229	ecaresnet101d_pruned	94.440	5.560	99.100	0.900	24.88	224	0.875	bicubic
230	gluon_seresnext101_32x4d	94.430	5.570	99.090	0.910	48.96	224	0.875	bicubic
231	convmixer_768_32	94.430	5.570	99.110	0.890	21.11	224	0.960	bicubic
232	halonet50ts	94.420	5.580	98.760	1.240	22.73	256	0.940	bicubic
233	gcresnext50ts	94.410	5.590	98.990	1.010	15.67	256	0.900	bicubic
234	levit_256	94.410	5.590	99.060	0.940	18.89	224	0.900	bicubic
235	nf_resnet50	94.380	5.620	99.070	0.930	25.56	288	0.940	bicubic
236	resnest50d_1s4x24d	94.380	5.620	99.060	0.940	25.68	224	0.875	bicubic
237	vit_base_patch32_224	94.380	5.620	99.060	0.940	88.22	224	0.900	bicubic
238	efficientnet_b2	94.370	5.630	99.050	0.950	9.11	288	1.000	bicubic
239	inception_v4	94.370	5.630	98.820	1.180	42.68	299	0.875	bicubic
240	xcit_tiny_12_p8_224	94.370	5.630	99.070	0.930	6.71	224	1.000	bicubic
241	tf_efficientnet_el	94.350	5.650	99.090	0.910	10.59	300	0.904	bicubic
242	resmlp_24_distilled_224	94.340	5.660	99.090	0.910	30.02	224	0.875	bicubic
243	gluon_resnext101_64x4d	94.330	5.670	98.880	1.120	83.46	224	0.875	bicubic
244	inception_resnet_v2	94.320	5.680	98.800	1.200	55.84	299	0.897	bicubic
245	ssl_resnet50	94.320	5.680	99.160	0.840	25.56	224	0.875	bilinear
246	resnetv2_50	94.290	5.710	98.930	1.070	25.55	224	0.950	bicubic
247	regnetx_120	94.290	5.710	99.200	0.800	46.11	224	0.875	bicubic
248	tf_efficientnet_b2_ap	94.280	5.720	98.950	1.050	9.11	260	0.890	bicubic
249	rexnet_150	94.270	5.730	99.090	0.910	9.73	224	0.875	bicubic
250	resmlp_big_24_224	94.270	5.730	98.820	1.180	129.14	224	0.875	bicubic
251	seresnet33ts	94.260	5.740	98.780	1.220	19.78	256	0.900	bicubic
252	mixnet_xl	94.220	5.780	98.810	1.190	11.90	224	0.875	bicubic
253	xcit_tiny_24_p16_224_dist	94.220	5.780	98.960	1.040	12.12	224	1.000	bicubic
254	ecaresnet50d	94.210	5.790	99.010	0.990	25.58	224	0.875	bicubic
255	regnetx_320	94.210	5.790	99.050	0.950	107.81	224	0.875	bicubic
256	tf_efficientnet_b2	94.200	5.800	99.030	0.970	9.11	260	0.890	bicubic
257	gluon_resnet101_v1s	94.180	5.820	99.020	0.980	44.67	224	0.875	bicubic
258	gluon_resnet101_v1d	94.180	5.820	98.950	1.050	44.57	224	0.875	bicubic
259	dpn92	94.180	5.820	98.930	1.070	37.67	224	0.875	bicubic
260	gluon_seresnext50_32x4d	94.180	5.820	98.910	1.090	27.56	224	0.875	bicubic
261	legacy_seresnext101_32x4d	94.170	5.830	98.970	1.030	48.96	224	0.875	bilinear
262	regnety_064	94.140	5.860	99.030	0.970	30.58	224	0.875	bicubic
263	ecaresnetlight	94.140	5.860	98.950	1.050	30.16	224	0.875	bicubic
264	ens_adv_inception_resnet_v2	94.140	5.860	98.790	1.210	55.84	299	0.897	bicubic
265	gluon_resnext101_32x4d	94.120	5.880	98.940	1.060	44.18	224	0.875	bicubic
266	tf_efficientnet_lite3	94.110	5.890	98.960	1.040	8.20	300	0.904	bilinear
267	cspdarknet53	94.100	5.900	98.980	1.020	27.64	256	0.887	bilinear
268	seresnet50	94.080	5.920	98.950	1.050	28.09	224	0.875	bicubic
269	resnet50d	94.070	5.930	98.920	1.080	25.58	224	0.875	bicubic
270	regnety_120	94.060	5.940	99.020	0.980	51.82	224	0.875	bicubic
271	tf_efficientnetv2_b2	94.060	5.940	98.940	1.060	10.10	260	0.890	bicubic
272	efficientnet_el_pruned	94.060	5.940	99.020	0.980	10.59	300	0.904	bicubic
273	gluon_xception65	94.040	5.960	99.030	0.970	39.92	299	0.903	bicubic
274	resnetrs50	94.030	5.970	98.830	1.170	35.69	224	0.910	bicubic
275	hrnet_w48	94.030	5.970	99.030	0.970	77.47	224	0.875	bilinear
276	gluon_resnet152_v1b	94.020	5.980	98.750	1.250	60.19	224	0.875	bicubic
277	dla102x2	94.010	5.990	99.030	0.970	41.28	224	0.875	bilinear
278	deit_small_patch16_224	93.990	6.010	98.960	1.040	22.05	224	0.900	bicubic
279	dpn107	93.960	6.040	98.840	1.160	86.92	224	0.875	bicubic
280	resnet50	93.950	6.050	98.470	1.530	25.56	224	0.950	bicubic
281	skresnext50_32x4d	93.950	6.050	98.830	1.170	27.48	224	0.875	bicubic
282	cait_xxs36_224	93.940	6.060	98.880	1.120	17.30	224	1.000	bicubic
283	ecaresnet26t	93.930	6.070	98.930	1.070	16.01	320	0.950	bicubic
284	dpn98	93.930	6.070	98.920	1.080	61.57	224	0.875	bicubic
285	xception71	93.900	6.100	98.950	1.050	42.34	299	0.903	bicubic
286	regnety_080	93.900	6.100	98.990	1.010	39.18	224	0.875	bicubic
287	regnetx_160	93.900	6.100	99.080	0.920	54.28	224	0.875	bicubic
288	vit_base_patch16_sam_224	93.890	6.110	98.890	1.110	86.57	224	0.900	bicubic
289	nf_regnet_b1	93.890	6.110	98.750	1.250	10.22	288	0.900	bicubic
290	gluon_resnet152_v1c	93.880	6.120	98.800	1.200	60.21	224	0.875	bicubic
291	eca_resnet33ts	93.870	6.130	98.890	1.110	19.68	256	0.900	bicubic
292	resnext50_32x4d	93.850	6.150	98.820	1.180	25.03	224	0.875	bicubic
293	cspresnet50	93.850	6.150	98.870	1.130	21.62	256	0.887	bilinear
294	xcit_tiny_24_p16_224	93.850	6.150	98.770	1.230	12.12	224	1.000	bicubic
295	hrnet_w64	93.850	6.150	98.930	1.070	128.06	224	0.875	bilinear
296	ese_vovnet39b	93.850	6.150	98.900	1.100	24.57	224	0.875	bicubic
297	gcresnet33ts	93.820	6.180	98.930	1.070	19.88	256	0.900	bicubic
298	ecaresnet50d_pruned	93.820	6.180	99.000	1.000	19.94	224	0.875	bicubic
299	repvgg_b2g4	93.820	6.180	98.920	1.080	61.76	224	0.875	bilinear
300	resnext50d_32x4d	93.800	6.200	98.730	1.270	25.05	224	0.875	bicubic
301	efficientnet_b2_pruned	93.800	6.200	98.910	1.090	8.31	260	0.890	bicubic
302	regnetx_080	93.790	6.210	98.900	1.100	39.57	224	0.875	bicubic
303	dla169	93.780	6.220	98.830	1.170	53.39	224	0.875	bilinear
304	resnext101_32x8d	93.770	6.230	98.950	1.050	88.79	224	0.875	bilinear
305	gluon_resnet101_v1b	93.770	6.230	98.720	1.280	44.55	224	0.875	bicubic
306	cspresnext50	93.770	6.230	98.840	1.160	20.57	224	0.875	bilinear
307	dpn131	93.760	6.240	98.850	1.150	79.25	224	0.875	bicubic
308	tf_efficientnet_b0_ns	93.760	6.240	98.980	1.020	5.29	224	0.875	bicubic
309	efficientnet_em	93.750	6.250	98.920	1.080	6.90	240	0.882	bicubic
310	xception65	93.740	6.260	98.870	1.130	39.92	299	0.903	bicubic
311	wide_resnet101_2	93.720	6.280	98.810	1.190	126.89	224	0.875	bilinear
312	hrnet_w40	93.710	6.290	98.800	1.200	57.56	224	0.875	bilinear
313	levit_192	93.710	6.290	98.790	1.210	10.95	224	0.900	bicubic
314	resnetblur50	93.710	6.290	98.800	1.200	25.56	224	0.875	bicubic
315	tf_efficientnet_b1	93.710	6.290	98.800	1.200	7.79	240	0.882	bicubic
316	tf_efficientnetv2_b1	93.700	6.300	98.810	1.190	8.14	240	0.882	bicubic
317	rexnet_130	93.690	6.310	98.720	1.280	7.56	224	0.875	bicubic
318	regnetx_040	93.670	6.330	98.950	1.050	22.12	224	0.875	bicubic
319	resmlp_36_224	93.670	6.330	98.950	1.050	44.69	224	0.875	bicubic
320	gluon_resnext50_32x4d	93.670	6.330	98.700	1.300	25.03	224	0.875	bicubic
321	gluon_resnet101_v1c	93.660	6.340	98.760	1.240	44.57	224	0.875	bicubic
322	xception	93.650	6.350	98.770	1.230	22.86	299	0.897	bicubic
323	regnetx_064	93.650	6.350	99.050	0.950	26.21	224	0.875	bicubic
324	tf_efficientnet_b1_ap	93.640	6.360	98.780	1.220	7.79	240	0.882	bicubic
325	hrnet_w44	93.620	6.380	98.950	1.050	67.06	224	0.875	bilinear
326	resnet33ts	93.620	6.380	98.770	1.230	19.68	256	0.900	bicubic
327	halonet26t	93.610	6.390	98.640	1.360	12.48	256	0.950	bicubic
328	regnety_040	93.610	6.390	98.960	1.040	20.65	224	0.875	bicubic
329	dpn68b	93.600	6.400	98.710	1.290	12.61	224	0.875	bicubic
330	gluon_resnet50_v1s	93.590	6.410	98.830	1.170	25.68	224	0.875	bicubic
331	gluon_inception_v3	93.590	6.410	98.840	1.160	23.83	299	0.875	bicubic
332	res2net50_26w_6s	93.580	6.420	98.740	1.260	37.05	224	0.875	bilinear
333	tf_efficientnet_cc_b1_8e	93.580	6.420	98.690	1.310	39.72	240	0.882	bicubic
334	repvgg_b2	93.570	6.430	99.070	0.930	89.02	224	0.875	bilinear
335	resnet32ts	93.570	6.430	98.750	1.250	17.96	256	0.900	bicubic
336	dla60_res2next	93.560	6.440	98.800	1.200	17.03	224	0.875	bilinear
337	gluon_resnet50_v1d	93.550	6.450	98.710	1.290	25.58	224	0.875	bicubic
338	res2net101_26w_4s	93.520	6.480	98.630	1.370	45.21	224	0.875	bilinear
339	dla102x	93.510	6.490	98.850	1.150	26.31	224	0.875	bilinear
340	gmlp_s16_224	93.510	6.490	98.780	1.220	19.42	224	0.875	bicubic
341	coat_tiny	93.500	6.500	98.680	1.320	5.50	224	0.900	bicubic
342	cait_xxs24_224	93.490	6.510	98.770	1.230	11.96	224	1.000	bicubic
343	coat_lite_mini	93.490	6.510	98.780	1.220	11.01	224	0.900	bicubic
344	selecsls60b	93.480	6.520	98.840	1.160	32.77	224	0.875	bicubic
345	xception41	93.480	6.520	98.760	1.240	26.97	299	0.903	bicubic
346	legacy_seresnet152	93.460	6.540	98.850	1.150	66.82	224	0.875	bilinear
347	lambda_resnet26rpt_256	93.440	6.560	98.880	1.120	10.99	256	0.940	bicubic
348	botnet26t_256	93.440	6.560	98.660	1.340	12.49	256	0.950	bicubic
349	res2net50_26w_8s	93.430	6.570	98.670	1.330	48.40	224	0.875	bilinear
350	resmlp_24_224	93.430	6.570	98.810	1.190	30.02	224	0.875	bicubic
351	vit_tiny_patch16_384	93.430	6.570	98.840	1.160	5.79	384	1.000	bicubic
352	hrnet_w30	93.410	6.590	98.830	1.170	37.71	224	0.875	bilinear
353	legacy_seresnext50_32x4d	93.410	6.590	98.800	1.200	27.56	224	0.875	bilinear
354	repvgg_b1	93.410	6.590	98.780	1.220	57.42	224	0.875	bilinear
355	lambda_resnet26t	93.400	6.600	98.760	1.240	10.96	256	0.940	bicubic
356	dla60_res2net	93.380	6.620	98.830	1.170	20.85	224	0.875	bilinear
357	eca_botnext26ts_256	93.360	6.640	98.690	1.310	10.59	256	0.950	bicubic
358	xcit_tiny_12_p16_224_dist	93.340	6.660	98.750	1.250	6.72	224	1.000	bicubic
359	dla102	93.290	6.710	98.780	1.220	33.27	224	0.875	bilinear
360	legacy_seresnet101	93.290	6.710	98.750	1.250	49.33	224	0.875	bilinear
361	mixnet_l	93.290	6.710	98.710	1.290	7.33	224	0.875	bicubic
362	regnetx_032	93.270	6.730	98.740	1.260	15.30	224	0.875	bicubic
363	resnest26d	93.260	6.740	98.840	1.160	17.07	224	0.875	bilinear
364	tv_resnet152	93.260	6.740	98.750	1.250	60.19	224	0.875	bilinear
365	xcit_nano_12_p8_384_dist	93.250	6.750	98.850	1.150	3.05	384	1.000	bicubic
366	pit_xs_distilled_224	93.230	6.770	98.820	1.180	11.00	224	0.900	bicubic
367	tf_inception_v3	93.210	6.790	98.490	1.510	23.83	299	0.875	bicubic
368	dla60x	93.210	6.790	98.720	1.280	17.35	224	0.875	bilinear
369	tf_efficientnet_em	93.200	6.800	98.680	1.320	6.90	240	0.882	bicubic
370	res2net50_26w_4s	93.180	6.820	98.670	1.330	25.70	224	0.875	bilinear
371	eca_halonext26ts	93.140	6.860	98.690	1.310	10.76	256	0.940	bicubic
372	res2next50	93.110	6.890	98.660	1.340	24.67	224	0.875	bilinear
373	bat_resnext26ts	93.100	6.900	98.720	1.280	10.73	256	0.900	bicubic
374	tf_efficientnetv2_b0	93.060	6.940	98.700	1.300	7.14	224	0.875	bicubic
375	tf_mixnet_l	93.050	6.950	98.540	1.460	7.33	224	0.875	bicubic
376	levit_128	93.040	6.960	98.690	1.310	9.21	224	0.900	bicubic
377	repvgg_b1g4	93.040	6.960	98.820	1.180	39.97	224	0.875	bilinear
378	regnety_016	93.030	6.970	98.690	1.310	11.20	224	0.875	bicubic
379	efficientnet_b1	93.020	6.980	98.710	1.290	7.79	256	1.000	bicubic
380	res2net50_14w_8s	93.020	6.980	98.700	1.300	25.06	224	0.875	bilinear
381	selecsls60	93.000	7.000	98.830	1.170	30.67	224	0.875	bicubic
382	adv_inception_v3	92.990	7.010	98.480	1.520	23.83	299	0.875	bicubic
383	hardcorenas_f	92.980	7.020	98.620	1.380	8.20	224	0.875	bilinear
384	hardcorenas_e	92.960	7.040	98.570	1.430	8.07	224	0.875	bilinear
385	efficientnet_b1_pruned	92.960	7.040	98.520	1.480	6.33	240	0.882	bicubic
386	hrnet_w32	92.950	7.050	98.840	1.160	41.23	224	0.875	bilinear
387	efficientnet_es	92.940	7.060	98.690	1.310	5.44	224	0.875	bicubic
388	gluon_resnet50_v1c	92.920	7.080	98.710	1.290	25.58	224	0.875	bicubic
389	tv_resnext50_32x4d	92.910	7.090	98.730	1.270	25.03	224	0.875	bilinear
390	pit_xs_224	92.900	7.100	98.790	1.210	10.62	224	0.900	bicubic
391	inception_v3	92.900	7.100	98.320	1.680	23.83	299	0.875	bicubic
392	tv_resnet101	92.880	7.120	98.660	1.340	44.55	224	0.875	bilinear
393	densenet161	92.880	7.120	98.810	1.190	28.68	224	0.875	bicubic
394	resmlp_12_distilled_224	92.870	7.130	98.630	1.370	15.35	224	0.875	bicubic
395	tf_efficientnet_cc_b0_8e	92.850	7.150	98.460	1.540	24.01	224	0.875	bicubic
396	rexnet_100	92.840	7.160	98.620	1.380	4.80	224	0.875	bicubic
397	tf_efficientnet_cc_b0_4e	92.840	7.160	98.440	1.560	13.31	224	0.875	bicubic
398	coat_lite_tiny	92.830	7.170	98.640	1.360	5.72	224	0.900	bicubic
399	res2net50_48w_2s	92.800	7.200	98.470	1.530	25.29	224	0.875	bilinear
400	seresnext26ts	92.790	7.210	98.600	1.400	10.39	256	0.900	bicubic
401	seresnext26t_32x4d	92.770	7.230	98.550	1.450	16.81	224	0.875	bicubic
402	hrnet_w18	92.750	7.250	98.650	1.350	21.30	224	0.875	bilinear
403	crossvit_9_dagger_240	92.750	7.250	98.510	1.490	8.78	240	0.875	bicubic
404	dla60	92.690	7.310	98.630	1.370	22.04	224	0.875	bilinear
405	densenet201	92.690	7.310	98.660	1.340	20.01	224	0.875	bicubic
406	resnet26t	92.680	7.320	98.600	1.400	16.01	256	0.940	bicubic
407	gmixer_24_224	92.670	7.330	98.260	1.740	24.72	224	0.875	bicubic
408	legacy_seresnet50	92.670	7.330	98.660	1.340	28.09	224	0.875	bilinear
409	repvgg_a2	92.660	7.340	98.530	1.470	28.21	224	0.875	bilinear
410	resnet34d	92.640	7.360	98.440	1.560	21.82	224	0.875	bicubic
411	mobilenetv2_120d	92.610	7.390	98.510	1.490	5.83	224	0.875	bicubic
412	tf_efficientnet_b0_ap	92.600	7.400	98.370	1.630	5.29	224	0.875	bicubic
413	hardcorenas_d	92.600	7.400	98.430	1.570	7.50	224	0.875	bilinear
414	legacy_seresnext26_32x4d	92.590	7.410	98.420	1.580	16.79	224	0.875	bicubic
415	tf_efficientnet_lite2	92.570	7.430	98.550	1.450	6.09	260	0.890	bicubic
416	regnetx_016	92.560	7.440	98.550	1.450	9.19	224	0.875	bicubic
417	skresnet34	92.560	7.440	98.510	1.490	22.28	224	0.875	bicubic
418	gluon_resnet50_v1b	92.550	7.450	98.550	1.450	25.56	224	0.875	bicubic
419	selecsls42b	92.480	7.520	98.440	1.560	32.46	224	0.875	bicubic
420	gcresnext26ts	92.470	7.530	98.500	1.500	10.48	256	0.900	bicubic
421	efficientnet_b0	92.470	7.530	98.680	1.320	5.29	224	0.875	bicubic
422	xcit_tiny_12_p16_224	92.460	7.540	98.630	1.370	6.72	224	1.000	bicubic
423	gernet_s	92.440	7.560	98.490	1.510	8.17	224	0.875	bilinear
424	seresnext26d_32x4d	92.430	7.570	98.540	1.460	16.81	224	0.875	bicubic
425	eca_resnext26ts	92.420	7.580	98.610	1.390	10.30	256	0.900	bicubic
426	xcit_nano_12_p8_224_dist	92.410	7.590	98.510	1.490	3.05	224	1.000	bicubic
427	tf_efficientnet_b0	92.400	7.600	98.470	1.530	5.29	224	0.875	bicubic
428	densenetblur121d	92.400	7.600	98.420	1.580	8.00	224	0.875	bicubic
429	convmixer_1024_20_ks9_p14	92.350	7.650	98.420	1.580	24.38	224	0.960	bicubic
430	hardcorenas_c	92.330	7.670	98.340	1.660	5.52	224	0.875	bilinear
431	tf_efficientnet_lite1	92.320	7.680	98.490	1.510	5.42	240	0.882	bicubic
432	densenet169	92.290	7.710	98.590	1.410	14.15	224	0.875	bicubic
433	mixnet_m	92.260	7.740	98.370	1.630	5.01	224	0.875	bicubic
434	dpn68	92.260	7.740	98.600	1.400	12.61	224	0.875	bicubic
435	resnet26d	92.250	7.750	98.470	1.530	16.01	224	0.875	bicubic
436	mobilenetv3_large_100_miil	92.250	7.750	98.250	1.750	5.48	224	0.875	bilinear
437	resnext26ts	92.210	7.790	98.280	1.720	10.30	256	0.900	bicubic
438	tf_mixnet_m	92.170	7.830	98.420	1.580	5.01	224	0.875	bicubic
439	vit_small_patch32_224	92.150	7.850	98.510	1.490	22.88	224	0.900	bicubic
440	resmlp_12_224	92.130	7.870	98.570	1.430	15.35	224	0.875	bicubic
441	tv_resnet50	92.110	7.890	98.420	1.580	25.56	224	0.875	bilinear
442	xcit_nano_12_p16_384_dist	92.100	7.900	98.520	1.480	3.05	384	1.000	bicubic
443	tf_efficientnet_es	92.100	7.900	98.430	1.570	5.44	224	0.875	bicubic
444	mobilenetv2_140	92.030	7.970	98.250	1.750	6.11	224	0.875	bicubic
445	ese_vovnet19b_dw	92.020	7.980	98.520	1.480	6.54	224	0.875	bicubic
446	hardcorenas_b	91.970	8.030	98.400	1.600	5.18	224	0.875	bilinear
447	densenet121	91.940	8.060	98.280	1.720	7.98	224	0.875	bicubic
448	vit_tiny_patch16_224	91.930	8.070	98.330	1.670	5.72	224	0.900	bicubic
449	regnety_008	91.890	8.110	98.420	1.580	6.26	224	0.875	bicubic
450	mixnet_s	91.780	8.220	98.300	1.700	4.13	224	0.875	bicubic
451	vit_tiny_r_s16_p8_384	91.720	8.280	98.430	1.570	6.36	384	1.000	bicubic
452	efficientnet_es_pruned	91.710	8.290	98.400	1.600	5.44	224	0.875	bicubic
453	tf_mixnet_s	91.690	8.310	98.240	1.760	4.13	224	0.875	bicubic
454	repvgg_b0	91.670	8.330	98.450	1.550	15.82	224	0.875	bilinear
455	semnasnet_100	91.660	8.340	98.260	1.740	3.89	224	0.875	bicubic
456	hardcorenas_a	91.610	8.390	98.170	1.830	5.26	224	0.875	bilinear
457	regnety_006	91.580	8.420	98.430	1.570	6.06	224	0.875	bicubic
458	mobilenetv3_rw	91.550	8.450	98.270	1.730	5.48	224	0.875	bicubic
459	levit_128s	91.500	8.500	98.400	1.600	7.78	224	0.900	bicubic
460	legacy_seresnet34	91.480	8.520	98.200	1.800	21.96	224	0.875	bilinear
461	mobilenetv3_large_100	91.480	8.520	98.330	1.670	5.48	224	0.875	bicubic
462	resnet26	91.460	8.540	98.270	1.730	16.00	224	0.875	bicubic
463	tf_mobilenetv3_large_100	91.410	8.590	98.250	1.750	5.48	224	0.875	bilinear
464	tv_densenet121	91.400	8.600	98.250	1.750	7.98	224	0.875	bicubic
465	mobilenetv2_110d	91.320	8.680	98.180	1.820	4.52	224	0.875	bicubic
466	tf_efficientnet_lite0	91.280	8.720	98.090	1.910	4.65	224	0.875	bicubic
467	fbnetc_100	91.260	8.740	97.820	2.180	5.57	224	0.875	bilinear
468	dla34	91.250	8.750	98.180	1.820	15.74	224	0.875	bilinear
469	efficientnet_lite0	91.250	8.750	98.250	1.750	4.65	224	0.875	bicubic
470	mnasnet_100	91.200	8.800	98.040	1.960	4.38	224	0.875	bicubic
471	resnet34	91.190	8.810	98.230	1.770	21.80	224	0.875	bilinear
472	regnetx_008	91.190	8.810	98.370	1.630	7.26	224	0.875	bicubic
473	hrnet_w18_small_v2	91.170	8.830	98.350	1.650	15.60	224	0.875	bilinear
474	resnest14d	91.150	8.850	98.350	1.650	10.61	224	0.875	bilinear
475	mixer_b16_224	91.130	8.870	97.410	2.590	59.88	224	0.875	bicubic
476	xcit_nano_12_p8_224	91.100	8.900	98.240	1.760	3.05	224	1.000	bicubic
477	swsl_resnet18	91.090	8.910	98.210	1.790	11.69	224	0.875	bilinear
478	gluon_resnet34_v1b	91.090	8.910	98.180	1.820	21.80	224	0.875	bicubic
479	deit_tiny_distilled_patch16_224	91.090	8.910	98.270	1.730	5.91	224	0.900	bicubic
480	crossvit_9_240	91.070	8.930	98.310	1.690	8.55	240	0.875	bicubic
481	vgg19_bn	90.990	9.010	98.120	1.880	143.68	224	0.875	bilinear
482	pit_ti_distilled_224	90.900	9.100	98.230	1.770	5.10	224	0.900	bicubic
483	regnetx_006	90.750	9.250	98.100	1.900	6.20	224	0.875	bicubic
484	regnety_004	90.750	9.250	98.080	1.920	4.34	224	0.875	bicubic
485	ssl_resnet18	90.700	9.300	98.030	1.970	11.69	224	0.875	bilinear
486	spnasnet_100	90.610	9.390	97.950	2.050	4.42	224	0.875	bilinear
487	convit_tiny	90.550	9.450	98.210	1.790	5.71	224	0.875	bicubic
488	crossvit_tiny_240	90.530	9.470	97.950	2.050	7.01	240	0.875	bicubic
489	vgg16_bn	90.520	9.480	97.990	2.010	138.37	224	0.875	bilinear
490	ghostnet_100	90.440	9.560	97.840	2.160	5.18	224	0.875	bilinear
491	pit_ti_224	90.440	9.560	98.020	1.980	4.85	224	0.900	bicubic
492	tf_mobilenetv3_large_075	90.310	9.690	97.880	2.120	3.99	224	0.875	bilinear
493	tv_resnet34	90.310	9.690	97.970	2.030	21.80	224	0.875	bilinear
494	xcit_nano_12_p16_224_dist	90.190	9.810	97.760	2.240	3.05	224	1.000	bicubic
495	skresnet18	90.170	9.830	97.780	2.220	11.96	224	0.875	bicubic
496	resnet18d	89.990	10.010	97.840	2.160	11.71	224	0.875	bicubic
497	hrnet_w18_small	89.900	10.100	97.900	2.100	13.19	224	0.875	bilinear
498	vit_base_patch32_sam_224	89.870	10.130	97.600	2.400	88.22	224	0.900	bicubic
499	mobilenetv2_100	89.840	10.160	97.840	2.160	3.50	224	0.875	bicubic
500	vgg19	89.690	10.310	97.550	2.450	143.67	224	0.875	bilinear
501	deit_tiny_patch16_224	89.600	10.400	97.960	2.040	5.72	224	0.900	bicubic
502	regnetx_004	89.450	10.550	97.780	2.220	5.16	224	0.875	bicubic
503	vit_tiny_r_s16_p8_224	89.400	10.600	97.690	2.310	6.34	224	0.900	bicubic
504	vgg16	89.380	10.620	97.520	2.480	138.36	224	0.875	bilinear
505	legacy_seresnet18	89.250	10.750	97.690	2.310	11.78	224	0.875	bicubic
506	vgg13_bn	89.210	10.790	97.540	2.460	133.05	224	0.875	bilinear
507	tf_mobilenetv3_large_minimal_100	89.160	10.840	97.320	2.680	3.92	224	0.875	bilinear
508	xcit_nano_12_p16_224	88.960	11.040	97.410	2.590	3.05	224	1.000	bicubic
509	gluon_resnet18_v1b	88.670	11.330	97.110	2.890	11.69	224	0.875	bicubic
510	vgg11_bn	88.390	11.610	97.280	2.720	132.87	224	0.875	bilinear
511	regnety_002	88.210	11.790	97.420	2.580	3.16	224	0.875	bicubic
512	resnet18	88.160	11.840	97.120	2.880	11.69	224	0.875	bilinear
513	vgg13	87.550	12.450	97.120	2.880	133.05	224	0.875	bilinear
514	regnetx_002	87.360	12.640	96.990	3.010	2.68	224	0.875	bicubic
515	vgg11	87.330	12.670	97.110	2.890	132.86	224	0.875	bilinear
516	dla60x_c	87.080	12.920	97.140	2.860	1.32	224	0.875	bilinear
517	mixer_l16_224	86.960	13.040	94.030	5.970	208.20	224	0.875	bicubic
518	tf_mobilenetv3_small_100	85.990	14.010	96.410	3.590	2.54	224	0.875	bilinear
519	dla46x_c	85.470	14.530	96.450	3.550	1.07	224	0.875	bilinear
520	dla46_c	84.710	15.290	96.210	3.790	1.30	224	0.875	bilinear
521	tf_mobilenetv3_small_075	84.530	15.470	95.890	4.110	2.04	224	0.875	bilinear
522	tf_mobilenetv3_small_minimal_100	82.680	17.320	95.010	4.990	2.04	224	0.875	bilinear