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	beit_large_patch16_512	98.560	1.440	99.840	0.160	305.67	512	1.000	bicubic
3	tf_efficientnet_l2_ns	98.550	1.450	99.820	0.180	480.31	800	0.960	bicubic
4	beit_large_patch16_384	98.520	1.480	99.820	0.180	305.00	384	1.000	bicubic
5	tf_efficientnet_l2_ns_475	98.500	1.500	99.830	0.170	480.31	475	0.936	bicubic
6	deit3_large_patch16_384_in21ft1k	98.460	1.540	99.760	0.240	304.76	384	1.000	bicubic
7	convnext_xlarge_384_in22ft1k	98.350	1.650	99.800	0.200	350.20	384	1.000	bicubic
8	vit_large_patch16_384	98.220	1.780	99.800	0.200	304.72	384	1.000	bicubic
9	convnext_large_384_in22ft1k	98.220	1.780	99.730	0.270	197.77	384	1.000	bicubic
10	beit_large_patch16_224	98.180	1.820	99.760	0.240	304.43	224	0.900	bicubic
11	deit3_large_patch16_224_in21ft1k	98.170	1.830	99.760	0.240	304.37	224	1.000	bicubic
12	deit3_huge_patch14_224_in21ft1k	98.170	1.830	99.730	0.270	632.13	224	1.000	bicubic
13	swinv2_large_window12to24_192to384_22kft1k	98.150	1.850	99.690	0.310	196.74	384	1.000	bicubic
14	swinv2_base_window12to24_192to384_22kft1k	98.140	1.860	99.780	0.220	87.92	384	1.000	bicubic
15	swin_large_patch4_window12_384	98.040	1.960	99.690	0.310	196.74	384	1.000	bicubic
16	convnext_base_384_in22ft1k	97.950	2.050	99.650	0.350	88.59	384	1.000	bicubic
17	tf_efficientnet_b7_ns	97.920	2.080	99.720	0.280	66.35	600	0.949	bicubic
18	convnext_xlarge_in22ft1k	97.920	2.080	99.680	0.320	350.20	224	0.875	bicubic
19	swin_base_patch4_window12_384	97.890	2.110	99.710	0.290	87.90	384	1.000	bicubic
20	vit_large_r50_s32_384	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
21	swinv2_large_window12to16_192to256_22kft1k	97.860	2.140	99.650	0.350	196.74	256	0.900	bicubic
22	vit_base_patch16_384	97.840	2.160	99.670	0.330	86.86	384	1.000	bicubic
23	convnext_large_in22ft1k	97.830	2.170	99.690	0.310	197.77	224	0.875	bicubic
24	deit3_base_patch16_384_in21ft1k	97.830	2.170	99.680	0.320	86.88	384	1.000	bicubic
25	beit_base_patch16_384	97.820	2.180	99.700	0.300	86.74	384	1.000	bicubic
26	volo_d5_512	97.770	2.230	99.670	0.330	296.09	512	1.150	bicubic
27	volo_d5_448	97.760	2.240	99.620	0.380	295.91	448	1.150	bicubic
28	tf_efficientnetv2_l_in21ft1k	97.700	2.300	99.670	0.330	118.52	480	1.000	bicubic
29	volo_d4_448	97.670	2.330	99.610	0.390	193.41	448	1.150	bicubic
30	tf_efficientnetv2_xl_in21ft1k	97.660	2.340	99.490	0.510	208.12	512	1.000	bicubic
31	swinv2_base_window12to16_192to256_22kft1k	97.650	2.350	99.720	0.280	87.92	256	0.900	bicubic
32	swin_large_patch4_window7_224	97.650	2.350	99.580	0.420	196.53	224	0.900	bicubic
33	vit_large_patch16_224	97.640	2.360	99.590	0.410	304.33	224	0.900	bicubic
34	tf_efficientnet_b6_ns	97.630	2.370	99.580	0.420	43.04	528	0.942	bicubic
35	ig_resnext101_32x48d	97.620	2.380	99.700	0.300	828.41	224	0.875	bilinear
36	dm_nfnet_f6	97.600	2.400	99.550	0.450	438.36	576	0.956	bicubic
37	vit_base_patch8_224	97.580	2.420	99.670	0.330	86.58	224	0.900	bicubic
38	dm_nfnet_f4	97.580	2.420	99.510	0.490	316.07	512	0.951	bicubic
39	volo_d3_448	97.550	2.450	99.550	0.450	86.63	448	1.000	bicubic
40	dm_nfnet_f5	97.540	2.460	99.570	0.430	377.21	544	0.954	bicubic
41	xcit_large_24_p8_384_dist	97.520	2.480	99.540	0.460	188.93	384	1.000	bicubic
42	xcit_large_24_p16_384_dist	97.520	2.480	99.480	0.520	189.10	384	1.000	bicubic
43	tf_efficientnet_b5_ns	97.500	2.500	99.630	0.370	30.39	456	0.934	bicubic
44	resnetv2_152x4_bitm	97.490	2.510	99.610	0.390	936.53	480	1.000	bilinear
45	deit3_base_patch16_224_in21ft1k	97.490	2.510	99.600	0.400	86.59	224	1.000	bicubic
46	cait_m48_448	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
47	tf_efficientnetv2_m_in21ft1k	97.480	2.520	99.530	0.470	54.14	480	1.000	bicubic
48	convnext_base_in22ft1k	97.470	2.530	99.600	0.400	88.59	224	0.875	bicubic
49	convnext_small_384_in22ft1k	97.460	2.540	99.580	0.420	50.22	384	1.000	bicubic
50	deit3_large_patch16_384	97.420	2.580	99.620	0.380	304.76	384	1.000	bicubic
51	cait_m36_384	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
52	volo_d5_224	97.390	2.610	99.570	0.430	295.46	224	0.960	bicubic
53	ig_resnext101_32x32d	97.370	2.630	99.680	0.320	468.53	224	0.875	bilinear
54	dm_nfnet_f3	97.350	2.650	99.560	0.440	254.92	416	0.940	bicubic
55	cait_s36_384	97.330	2.670	99.530	0.470	68.37	384	1.000	bicubic
56	volo_d2_384	97.310	2.690	99.600	0.400	58.87	384	1.000	bicubic
57	volo_d4_224	97.300	2.700	99.520	0.480	192.96	224	0.960	bicubic
58	xcit_medium_24_p8_384_dist	97.290	2.710	99.510	0.490	84.32	384	1.000	bicubic
59	tf_efficientnetv2_l	97.280	2.720	99.550	0.450	118.52	480	1.000	bicubic
60	xcit_medium_24_p16_384_dist	97.280	2.720	99.460	0.540	84.40	384	1.000	bicubic
61	swin_base_patch4_window7_224	97.250	2.750	99.530	0.470	87.77	224	0.900	bicubic
62	xcit_small_24_p8_384_dist	97.240	2.760	99.610	0.390	47.63	384	1.000	bicubic
63	xcit_small_12_p8_384_dist	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
64	swsl_resnext101_32x8d	97.200	2.800	99.570	0.430	88.79	224	0.875	bilinear
65	tf_efficientnet_b7_ap	97.200	2.800	99.540	0.460	66.35	600	0.949	bicubic
66	regnetz_e8	97.200	2.800	99.500	0.500	57.70	320	1.000	bicubic
67	tf_efficientnet_b8	97.200	2.800	99.500	0.500	87.41	672	0.954	bicubic
68	vit_base_r50_s16_384	97.180	2.820	99.560	0.440	98.95	384	1.000	bicubic
69	tf_efficientnetv2_m	97.140	2.860	99.410	0.590	54.14	480	1.000	bicubic
70	deit3_small_patch16_384_in21ft1k	97.130	2.870	99.500	0.500	22.21	384	1.000	bicubic
71	xcit_small_24_p16_384_dist	97.120	2.880	99.450	0.550	47.67	384	1.000	bicubic
72	tf_efficientnet_b8_ap	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
73	beit_base_patch16_224	97.090	2.910	99.610	0.390	86.53	224	0.900	bicubic
74	eca_nfnet_l2	97.090	2.910	99.510	0.490	56.72	384	1.000	bicubic
75	volo_d3_224	97.090	2.910	99.470	0.530	86.33	224	0.960	bicubic
76	tf_efficientnet_b6_ap	97.080	2.920	99.620	0.380	43.04	528	0.942	bicubic
77	ecaresnet269d	97.080	2.920	99.470	0.530	102.09	352	1.000	bicubic
78	cait_s24_384	97.070	2.930	99.430	0.570	47.06	384	1.000	bicubic
79	xcit_large_24_p8_224_dist	97.070	2.930	99.420	0.580	188.93	224	1.000	bicubic
80	dm_nfnet_f2	97.020	2.980	99.440	0.560	193.78	352	0.920	bicubic
81	deit3_base_patch16_384	97.020	2.980	99.390	0.610	86.88	384	1.000	bicubic
82	resnetv2_152x2_bitm	97.010	2.990	99.590	0.410	236.34	448	1.000	bilinear
83	tf_efficientnet_b7	97.010	2.990	99.520	0.480	66.35	600	0.949	bicubic
84	volo_d2_224	97.000	3.000	99.390	0.610	58.68	224	0.960	bicubic
85	resnetv2_101x3_bitm	96.990	3.010	99.490	0.510	387.93	448	1.000	bilinear
86	convnext_small_in22ft1k	96.990	3.010	99.410	0.590	50.22	224	0.875	bicubic
87	efficientnetv2_rw_m	96.980	3.020	99.540	0.460	53.24	416	1.000	bicubic
88	deit_base_distilled_patch16_384	96.960	3.040	99.480	0.520	87.63	384	1.000	bicubic
89	tf_efficientnet_b4_ns	96.950	3.050	99.580	0.420	19.34	380	0.922	bicubic
90	seresnextaa101d_32x8d	96.950	3.050	99.390	0.610	93.59	288	1.000	bicubic
91	deit3_large_patch16_224	96.940	3.060	99.340	0.660	304.37	224	0.900	bicubic
92	xcit_small_12_p16_384_dist	96.930	3.070	99.400	0.600	26.25	384	1.000	bicubic
93	xcit_medium_24_p8_224_dist	96.920	3.080	99.390	0.610	84.32	224	1.000	bicubic
94	volo_d1_384	96.910	3.090	99.520	0.480	26.78	384	1.000	bicubic
95	resnetrs420	96.910	3.090	99.460	0.540	191.89	416	1.000	bicubic
96	dm_nfnet_f1	96.910	3.090	99.410	0.590	132.63	320	0.910	bicubic
97	deit3_huge_patch14_224	96.890	3.110	99.480	0.520	632.13	224	0.900	bicubic
98	vit_base_patch16_224	96.880	3.120	99.530	0.470	86.57	224	0.900	bicubic
99	convnext_tiny_384_in22ft1k	96.880	3.120	99.470	0.530	28.59	384	1.000	bicubic
100	xcit_small_24_p8_224_dist	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
101	resnetv2_152x2_bit_teacher_384	96.830	3.170	99.450	0.550	236.34	384	1.000	bicubic
102	ig_resnext101_32x16d	96.810	3.190	99.600	0.400	194.03	224	0.875	bilinear
103	xcit_large_24_p16_224_dist	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
104	vit_large_r50_s32_224	96.790	3.210	99.350	0.650	328.99	224	0.900	bicubic
105	seresnet152d	96.770	3.230	99.450	0.550	66.84	320	1.000	bicubic
106	seresnext101_32x8d	96.770	3.230	99.350	0.650	93.57	288	1.000	bicubic
107	resnetrs350	96.760	3.240	99.370	0.630	163.96	384	1.000	bicubic
108	swinv2_base_window16_256	96.760	3.240	99.350	0.650	87.92	256	0.900	bicubic
109	convnext_large	96.760	3.240	99.300	0.700	197.77	224	0.875	bicubic
110	tf_efficientnetv2_s_in21ft1k	96.720	3.280	99.420	0.580	21.46	384	1.000	bicubic
111	resnet200d	96.720	3.280	99.330	0.670	64.69	320	1.000	bicubic
112	resnetv2_50x3_bitm	96.710	3.290	99.550	0.450	217.32	448	1.000	bilinear
113	regnetz_040h	96.710	3.290	99.500	0.500	28.94	320	1.000	bicubic
114	regnetz_040	96.710	3.290	99.470	0.530	27.12	320	1.000	bicubic
115	seresnext101d_32x8d	96.710	3.290	99.360	0.640	93.59	288	1.000	bicubic
116	vit_small_patch16_384	96.700	3.300	99.480	0.520	22.20	384	1.000	bicubic
117	resnetrs200	96.700	3.300	99.370	0.630	93.21	320	1.000	bicubic
118	eca_nfnet_l1	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
119	xcit_small_12_p8_224_dist	96.690	3.310	99.390	0.610	26.21	224	1.000	bicubic
120	resnetrs270	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
121	vit_small_r26_s32_384	96.680	3.320	99.580	0.420	36.47	384	1.000	bicubic
122	tf_efficientnet_b5_ap	96.680	3.320	99.460	0.540	30.39	456	0.934	bicubic
123	tf_efficientnet_b6	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
124	pit_b_distilled_224	96.670	3.330	99.350	0.650	74.79	224	0.900	bicubic
125	deit3_small_patch16_224_in21ft1k	96.660	3.340	99.330	0.670	22.06	224	1.000	bicubic
126	resmlp_big_24_224_in22ft1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
127	regnetz_d8	96.620	3.380	99.450	0.550	23.37	320	1.000	bicubic
128	regnetz_d8_evos	96.610	3.390	99.440	0.560	23.46	320	0.950	bicubic
129	resnest200e	96.610	3.390	99.350	0.650	70.20	320	0.909	bicubic
130	swsl_resnext101_32x16d	96.600	3.400	99.530	0.470	194.03	224	0.875	bilinear
131	regnetz_d32	96.600	3.400	99.380	0.620	27.58	320	0.950	bicubic
132	xcit_medium_24_p16_224_dist	96.590	3.410	99.270	0.730	84.40	224	1.000	bicubic
133	resnetrs152	96.580	3.420	99.240	0.760	86.62	320	1.000	bicubic
134	xcit_tiny_24_p8_384_dist	96.550	3.450	99.320	0.680	12.11	384	1.000	bicubic
135	cait_xs24_384	96.540	3.460	99.420	0.580	26.67	384	1.000	bicubic
136	efficientnetv2_rw_s	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
137	swinv2_base_window8_256	96.540	3.460	99.270	0.730	87.92	256	0.900	bicubic
138	regnety_080	96.530	3.470	99.320	0.680	39.18	288	1.000	bicubic
139	crossvit_18_dagger_408	96.530	3.470	99.260	0.740	44.61	408	1.000	bicubic
140	resnest269e	96.520	3.480	99.350	0.650	110.93	416	0.928	bicubic
141	vit_base_patch32_384	96.490	3.510	99.410	0.590	88.30	384	1.000	bicubic
142	convnext_base	96.470	3.530	99.230	0.770	88.59	224	0.875	bicubic
143	swinv2_small_window16_256	96.460	3.540	99.200	0.800	49.73	256	0.900	bicubic
144	resmlp_big_24_distilled_224	96.450	3.550	99.310	0.690	129.14	224	0.875	bicubic
145	vit_base_patch16_224_miil	96.450	3.550	99.300	0.700	86.54	224	0.875	bilinear
146	cs3se_edgenet_x	96.440	3.560	99.400	0.600	50.72	320	1.000	bicubic
147	swsl_resnext101_32x4d	96.430	3.570	99.470	0.530	44.18	224	0.875	bilinear
148	regnetv_064	96.410	3.590	99.360	0.640	30.58	288	1.000	bicubic
149	xcit_large_24_p8_224	96.410	3.590	98.980	1.020	188.93	224	1.000	bicubic
150	xcit_small_24_p8_224	96.400	3.600	99.150	0.850	47.63	224	1.000	bicubic
151	tf_efficientnet_b3_ns	96.390	3.610	99.350	0.650	12.23	300	0.904	bicubic
152	crossvit_15_dagger_408	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
153	cait_s24_224	96.380	3.620	99.150	0.850	46.92	224	1.000	bicubic
154	resnet152d	96.360	3.640	99.390	0.610	60.21	320	1.000	bicubic
155	regnety_064	96.360	3.640	99.230	0.770	30.58	288	1.000	bicubic
156	regnety_160	96.350	3.650	99.330	0.670	83.59	288	1.000	bicubic
157	tf_efficientnet_b5	96.350	3.650	99.310	0.690	30.39	456	0.934	bicubic
158	xception65	96.350	3.650	99.240	0.760	39.92	299	0.940	bicubic
159	tf_efficientnetv2_s	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
160	volo_d1_224	96.330	3.670	99.310	0.690	26.63	224	0.960	bicubic
161	ig_resnext101_32x8d	96.310	3.690	99.430	0.570	88.79	224	0.875	bilinear
162	resnet101d	96.300	3.700	99.230	0.770	44.57	320	1.000	bicubic
163	deit3_base_patch16_224	96.300	3.700	99.180	0.820	86.59	224	0.900	bicubic
164	swinv2_small_window8_256	96.290	3.710	99.210	0.790	49.73	256	0.900	bicubic
165	twins_svt_large	96.270	3.730	99.170	0.830	99.27	224	0.900	bicubic
166	jx_nest_base	96.250	3.750	99.210	0.790	67.72	224	0.875	bicubic
167	swin_s3_base_224	96.250	3.750	99.140	0.860	71.13	224	0.900	bicubic
168	swin_s3_small_224	96.230	3.770	99.090	0.910	49.74	224	0.900	bicubic
169	convnext_tiny_in22ft1k	96.220	3.780	99.340	0.660	28.59	224	0.875	bicubic
170	xcit_small_24_p16_224_dist	96.210	3.790	99.210	0.790	47.67	224	1.000	bicubic
171	xception65p	96.210	3.790	99.180	0.820	39.82	299	0.940	bicubic
172	deit3_small_patch16_384	96.200	3.800	99.290	0.710	22.21	384	1.000	bicubic
173	regnetv_040	96.190	3.810	99.330	0.670	20.64	288	1.000	bicubic
174	swinv2_cr_small_ns_224	96.180	3.820	99.140	0.860	49.70	224	0.900	bicubic
175	mobilevitv2_175_384_in22ft1k	96.180	3.820	99.130	0.870	14.25	384	1.000	bicubic
176	convnext_small	96.170	3.830	99.100	0.900	50.22	224	0.875	bicubic
177	tf_efficientnet_b4_ap	96.160	3.840	99.280	0.720	19.34	380	0.922	bicubic
178	twins_svt_base	96.160	3.840	99.060	0.940	56.07	224	0.900	bicubic
179	dm_nfnet_f0	96.150	3.850	99.250	0.750	71.49	256	0.900	bicubic
180	efficientnet_b4	96.150	3.850	99.190	0.810	19.34	384	1.000	bicubic
181	twins_pcpvt_large	96.150	3.850	99.180	0.820	60.99	224	0.900	bicubic
182	deit_base_patch16_384	96.150	3.850	99.140	0.860	86.86	384	1.000	bicubic
183	sequencer2d_l	96.140	3.860	99.160	0.840	54.30	224	0.875	bicubic
184	regnetz_c16_evos	96.130	3.870	99.360	0.640	13.49	320	0.950	bicubic
185	resnetv2_50x1_bit_distilled	96.120	3.880	99.280	0.720	25.55	224	0.875	bicubic
186	nfnet_l0	96.120	3.880	99.240	0.760	35.07	288	1.000	bicubic
187	xcit_small_12_p8_224	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
188	xcit_medium_24_p8_224	96.110	3.890	98.890	1.110	84.32	224	1.000	bicubic
189	resnetv2_101x1_bitm	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
190	resnetv2_152x2_bit_teacher	96.100	3.900	99.270	0.730	236.34	224	0.875	bicubic
191	deit_base_distilled_patch16_224	96.090	3.910	99.190	0.810	87.34	224	0.900	bicubic
192	resnext101_64x4d	96.080	3.920	99.240	0.760	83.46	288	1.000	bicubic
193	xcit_tiny_12_p8_384_dist	96.080	3.920	99.140	0.860	6.71	384	1.000	bicubic
194	swinv2_cr_small_224	96.060	3.940	98.870	1.130	49.70	224	0.900	bicubic
195	cs3edgenet_x	96.050	3.950	99.140	0.860	47.82	288	1.000	bicubic
196	cs3sedarknet_x	96.040	3.960	99.110	0.890	35.40	288	1.000	bicubic
197	mobilevitv2_200_384_in22ft1k	96.040	3.960	99.080	0.920	18.45	384	1.000	bicubic
198	xcit_small_12_p16_224_dist	96.020	3.980	99.130	0.870	26.25	224	1.000	bicubic
199	regnety_040	96.010	3.990	99.180	0.820	20.65	288	1.000	bicubic
200	sequencer2d_s	95.990	4.010	99.050	0.950	27.65	224	0.875	bicubic
201	regnety_032	95.970	4.030	99.190	0.810	19.44	288	1.000	bicubic
202	tresnet_xl_448	95.970	4.030	99.130	0.870	78.44	448	0.875	bilinear
203	jx_nest_small	95.960	4.040	99.030	0.970	38.35	224	0.875	bicubic
204	eca_nfnet_l0	95.950	4.050	99.210	0.790	24.14	288	1.000	bicubic
205	swinv2_tiny_window16_256	95.940	4.060	99.140	0.860	28.35	256	0.900	bicubic
206	xcit_tiny_24_p16_384_dist	95.920	4.080	99.220	0.780	12.12	384	1.000	bicubic
207	swin_small_patch4_window7_224	95.910	4.090	99.020	0.980	49.61	224	0.900	bicubic
208	tf_efficientnet_b4	95.900	4.100	99.170	0.830	19.34	380	0.922	bicubic
209	resnet152	95.900	4.100	99.080	0.920	60.19	224	0.950	bicubic
210	resnet51q	95.870	4.130	99.130	0.870	35.70	288	1.000	bilinear
211	swsl_resnext50_32x4d	95.860	4.140	99.250	0.750	25.03	224	0.875	bilinear
212	resnest101e	95.860	4.140	99.210	0.790	48.28	256	0.875	bilinear
213	cs3darknet_x	95.860	4.140	99.180	0.820	35.05	288	1.000	bicubic
214	tresnet_l_448	95.860	4.140	99.120	0.880	55.99	448	0.875	bilinear
215	cait_xxs36_384	95.840	4.160	99.090	0.910	17.37	384	1.000	bicubic
216	vit_large_patch32_384	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
217	xcit_tiny_24_p8_224_dist	95.810	4.190	99.210	0.790	12.11	224	1.000	bicubic
218	sequencer2d_m	95.810	4.190	99.110	0.890	38.31	224	0.875	bicubic
219	regnetz_c16	95.800	4.200	99.100	0.900	13.46	320	0.940	bicubic
220	ssl_resnext101_32x16d	95.790	4.210	99.180	0.820	194.03	224	0.875	bilinear
221	twins_pcpvt_base	95.790	4.210	99.130	0.870	43.83	224	0.900	bicubic
222	resnet61q	95.780	4.220	98.990	1.010	36.85	288	1.000	bicubic
223	tf_efficientnet_b2_ns	95.760	4.240	99.120	0.880	9.11	260	0.890	bicubic
224	vit_relpos_base_patch16_clsgap_224	95.760	4.240	99.040	0.960	86.43	224	0.900	bicubic
225	gc_efficientnetv2_rw_t	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
226	efficientnet_b3	95.710	4.290	99.040	0.960	12.23	320	1.000	bicubic
227	tresnet_m	95.710	4.290	99.030	0.970	31.39	224	0.875	bilinear
228	pnasnet5large	95.710	4.290	98.920	1.080	86.06	331	0.911	bicubic
229	mobilevitv2_150_384_in22ft1k	95.700	4.300	99.140	0.860	10.59	384	1.000	bicubic
230	crossvit_15_dagger_240	95.690	4.310	98.830	1.170	28.21	240	0.875	bicubic
231	nasnetalarge	95.680	4.320	98.930	1.070	88.75	331	0.911	bicubic
232	xcit_tiny_24_p8_224	95.670	4.330	99.050	0.950	12.11	224	1.000	bicubic
233	vit_small_r26_s32_224	95.640	4.360	99.190	0.810	36.43	224	0.900	bicubic
234	poolformer_m48	95.640	4.360	98.940	1.060	73.47	224	0.950	bicubic
235	pit_b_224	95.640	4.360	98.670	1.330	73.76	224	0.900	bicubic
236	resnetv2_101	95.620	4.380	98.990	1.010	44.54	224	0.950	bicubic
237	resnetv2_50d_evos	95.610	4.390	99.030	0.970	25.59	288	0.950	bicubic
238	efficientnetv2_rw_t	95.600	4.400	99.070	0.930	13.65	288	1.000	bicubic
239	crossvit_18_dagger_240	95.570	4.430	99.060	0.940	44.27	240	0.875	bicubic
240	vit_relpos_base_patch16_224	95.570	4.430	99.030	0.970	86.43	224	0.900	bicubic
241	convnext_tiny	95.550	4.450	99.000	1.000	28.59	224	0.875	bicubic
242	convit_base	95.550	4.450	98.870	1.130	86.54	224	0.875	bicubic
243	coat_lite_small	95.540	4.460	98.860	1.140	19.84	224	0.900	bicubic
244	ecaresnet101d	95.530	4.470	99.130	0.870	44.57	224	0.875	bicubic
245	levit_384	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
246	xcit_small_24_p16_224	95.530	4.470	98.770	1.230	47.67	224	1.000	bicubic
247	xcit_medium_24_p16_224	95.530	4.470	98.740	1.260	84.40	224	1.000	bicubic
248	crossvit_base_240	95.520	4.480	98.820	1.180	105.03	240	0.875	bicubic
249	ecaresnet50t	95.510	4.490	99.120	0.880	25.57	320	0.950	bicubic
250	vit_relpos_medium_patch16_rpn_224	95.510	4.490	99.080	0.920	38.73	224	0.900	bicubic
251	convnext_tiny_hnf	95.510	4.490	99.020	0.980	28.59	224	0.950	bicubic
252	fbnetv3_g	95.510	4.490	98.990	1.010	16.62	288	0.950	bilinear
253	xception41p	95.510	4.490	98.910	1.090	26.91	299	0.940	bicubic
254	swinv2_tiny_window8_256	95.500	4.500	99.120	0.880	28.35	256	0.900	bicubic
255	ssl_resnext101_32x8d	95.490	4.510	99.120	0.880	88.79	224	0.875	bilinear
256	vit_relpos_medium_patch16_cls_224	95.480	4.520	98.950	1.050	38.76	224	0.900	bicubic
257	visformer_small	95.470	4.530	98.900	1.100	40.22	224	0.900	bicubic
258	vit_relpos_medium_patch16_224	95.460	4.540	98.960	1.040	38.75	224	0.900	bicubic
259	ssl_resnext101_32x4d	95.440	4.560	99.130	0.870	44.18	224	0.875	bilinear
260	tresnet_xl	95.440	4.560	99.050	0.950	78.44	224	0.875	bilinear
261	deit_base_patch16_224	95.440	4.560	98.840	1.160	86.57	224	0.900	bicubic
262	crossvit_18_240	95.440	4.560	98.790	1.210	43.27	240	0.875	bicubic
263	resnetv2_50d_gn	95.430	4.570	99.040	0.960	25.57	288	0.950	bicubic
264	resnetrs101	95.430	4.570	99.030	0.970	63.62	288	0.940	bicubic
265	halo2botnet50ts_256	95.420	4.580	99.010	0.990	22.64	256	0.950	bicubic
266	xcit_small_12_p16_224	95.420	4.580	98.840	1.160	26.25	224	1.000	bicubic
267	xcit_large_24_p16_224	95.420	4.580	98.620	1.380	189.10	224	1.000	bicubic
268	swsl_resnet50	95.410	4.590	99.300	0.700	25.56	224	0.875	bilinear
269	edgenext_small	95.410	4.590	99.100	0.900	5.59	320	1.000	bicubic
270	vit_base_patch16_rpn_224	95.380	4.620	98.930	1.070	86.54	224	0.900	bicubic
271	poolformer_m36	95.380	4.620	98.850	1.150	56.17	224	0.950	bicubic
272	vit_small_patch16_224	95.370	4.630	99.150	0.850	22.05	224	0.900	bicubic
273	swinv2_cr_tiny_ns_224	95.370	4.630	98.940	1.060	28.33	224	0.900	bicubic
274	resnet101	95.360	4.640	98.860	1.140	44.55	224	0.950	bicubic
275	convnext_nano	95.360	4.640	98.850	1.150	15.59	288	1.000	bicubic
276	tf_efficientnet_b3_ap	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
277	cs3sedarknet_l	95.310	4.690	99.130	0.870	21.91	288	0.950	bicubic
278	mixer_b16_224_miil	95.300	4.700	98.880	1.120	59.88	224	0.875	bilinear
279	tresnet_l	95.290	4.710	99.010	0.990	55.99	224	0.875	bilinear
280	cait_xxs24_384	95.280	4.720	98.960	1.040	12.03	384	1.000	bicubic
281	pit_s_distilled_224	95.240	4.760	99.050	0.950	24.04	224	0.900	bicubic
282	jx_nest_tiny	95.240	4.760	98.980	1.020	17.06	224	0.875	bicubic
283	vit_srelpos_medium_patch16_224	95.230	4.770	98.990	1.010	38.74	224	0.900	bicubic
284	mobilevitv2_175_in22ft1k	95.230	4.770	98.790	1.210	14.25	256	0.888	bicubic
285	resnetaa50	95.210	4.790	98.930	1.070	25.56	288	1.000	bicubic
286	twins_pcpvt_small	95.210	4.790	98.880	1.120	24.11	224	0.900	bicubic
287	convit_small	95.200	4.800	98.900	1.100	27.78	224	0.875	bicubic
288	twins_svt_small	95.200	4.800	98.880	1.120	24.06	224	0.900	bicubic
289	tf_efficientnet_b1_ns	95.180	4.820	99.110	0.890	7.79	240	0.882	bicubic
290	cs3darknet_focus_l	95.170	4.830	98.960	1.040	21.15	288	0.950	bicubic
291	mobilevitv2_200_in22ft1k	95.160	4.840	98.950	1.050	18.45	256	0.888	bicubic
292	vit_relpos_small_patch16_224	95.160	4.840	98.950	1.050	21.98	224	0.900	bicubic
293	swin_s3_tiny_224	95.160	4.840	98.940	1.060	28.33	224	0.900	bicubic
294	tf_efficientnetv2_b3	95.160	4.840	98.820	1.180	14.36	300	0.904	bicubic
295	crossvit_15_240	95.150	4.850	98.930	1.070	27.53	240	0.875	bicubic
296	lamhalobotnet50ts_256	95.150	4.850	98.880	1.120	22.57	256	0.950	bicubic
297	mobilevitv2_150_in22ft1k	95.140	4.860	98.860	1.140	10.59	256	0.888	bicubic
298	halonet50ts	95.140	4.860	98.770	1.230	22.73	256	0.940	bicubic
299	xcit_tiny_12_p16_384_dist	95.130	4.870	99.020	0.980	6.72	384	1.000	bicubic
300	swin_tiny_patch4_window7_224	95.130	4.870	98.850	1.150	28.29	224	0.900	bicubic
301	cs3darknet_l	95.120	4.880	98.980	1.020	21.16	288	0.950	bicubic
302	efficientnet_el	95.120	4.880	98.980	1.020	10.59	300	0.904	bicubic
303	xcit_tiny_12_p8_224_dist	95.100	4.900	98.910	1.090	6.71	224	1.000	bicubic
304	poolformer_s36	95.090	4.910	98.910	1.090	30.86	224	0.900	bicubic
305	gernet_l	95.090	4.910	98.900	1.100	31.08	256	0.875	bilinear
306	ecaresnet101d_pruned	95.080	4.920	98.980	1.020	24.88	224	0.875	bicubic
307	wide_resnet50_2	95.080	4.920	98.970	1.030	68.88	224	0.875	bicubic
308	convmixer_1536_20	95.070	4.930	99.030	0.970	51.63	224	0.960	bicubic
309	legacy_senet154	95.070	4.930	98.830	1.170	115.09	224	0.875	bilinear
310	regnetz_b16	95.060	4.940	99.050	0.950	9.72	288	0.940	bicubic
311	vit_small_patch32_384	95.050	4.950	98.990	1.010	22.92	384	1.000	bicubic
312	gluon_resnet152_v1s	95.040	4.960	98.930	1.070	60.32	224	0.875	bicubic
313	tnt_s_patch16_224	95.040	4.960	98.830	1.170	23.76	224	0.900	bicubic
314	vit_srelpos_small_patch16_224	95.030	4.970	98.960	1.040	21.97	224	0.900	bicubic
315	seresnext50_32x4d	95.030	4.970	98.880	1.120	27.56	224	0.875	bicubic
316	resnetv2_50x1_bitm	95.010	4.990	99.060	0.940	25.55	448	1.000	bilinear
317	tf_efficientnet_b3	95.010	4.990	98.910	1.090	12.23	300	0.904	bicubic
318	levit_256	95.010	4.990	98.890	1.110	18.89	224	0.900	bicubic
319	vit_base_patch32_224	95.000	5.000	99.030	0.970	88.22	224	0.900	bicubic
320	deit3_small_patch16_224	95.000	5.000	98.460	1.540	22.06	224	0.900	bicubic
321	tresnet_m_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
322	coat_mini	94.970	5.030	98.780	1.220	10.34	224	0.900	bicubic
323	resnest50d_4s2x40d	94.960	5.040	99.070	0.930	30.42	224	0.875	bicubic
324	rexnet_200	94.950	5.050	99.010	0.990	16.37	224	0.875	bicubic
325	gluon_seresnext101_64x4d	94.920	5.080	98.830	1.170	88.23	224	0.875	bicubic
326	gluon_seresnext101_32x4d	94.920	5.080	98.810	1.190	48.96	224	0.875	bicubic
327	gluon_senet154	94.920	5.080	98.760	1.240	115.09	224	0.875	bicubic
328	mobilevitv2_175	94.890	5.110	98.860	1.140	14.25	256	0.888	bicubic
329	tf_efficientnet_lite4	94.880	5.120	99.020	0.980	13.01	380	0.920	bilinear
330	resmlp_36_distilled_224	94.880	5.120	98.840	1.160	44.69	224	0.875	bicubic
331	ssl_resnext50_32x4d	94.870	5.130	98.890	1.110	25.03	224	0.875	bilinear
332	seresnet33ts	94.860	5.140	98.790	1.210	19.78	256	0.900	bicubic
333	resnest50d	94.850	5.150	98.880	1.120	27.48	224	0.875	bilinear
334	gcresnet50t	94.850	5.150	98.790	1.210	25.90	256	0.900	bicubic
335	crossvit_small_240	94.830	5.170	99.020	0.980	26.86	240	0.875	bicubic
336	cspresnext50	94.830	5.170	98.770	1.230	20.57	256	0.887	bilinear
337	mobilevitv2_200	94.830	5.170	98.710	1.290	18.45	256	0.888	bicubic
338	sehalonet33ts	94.780	5.220	98.570	1.430	13.69	256	0.940	bicubic
339	lambda_resnet50ts	94.780	5.220	98.460	1.540	21.54	256	0.950	bicubic
340	ecaresnetlight	94.770	5.230	98.800	1.200	30.16	224	0.875	bicubic
341	resnest50d_1s4x24d	94.750	5.250	98.980	1.020	25.68	224	0.875	bicubic
342	gluon_resnet152_v1d	94.740	5.260	98.740	1.260	60.21	224	0.875	bicubic
343	gluon_resnet101_v1s	94.720	5.280	98.820	1.180	44.67	224	0.875	bicubic
344	deit_small_distilled_patch16_224	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
345	haloregnetz_b	94.700	5.300	98.660	1.340	11.68	224	0.940	bicubic
346	xcit_tiny_12_p8_224	94.690	5.310	98.830	1.170	6.71	224	1.000	bicubic
347	cspdarknet53	94.660	5.340	98.800	1.200	27.64	256	0.887	bilinear
348	edgenext_small_rw	94.660	5.340	98.790	1.210	7.83	320	1.000	bicubic
349	gluon_resnext101_64x4d	94.660	5.340	98.650	1.350	83.46	224	0.875	bicubic
350	resmlp_big_24_224	94.660	5.340	98.480	1.520	129.14	224	0.875	bicubic
351	darknet53	94.630	5.370	98.890	1.110	41.61	288	1.000	bicubic
352	efficientnet_b3_pruned	94.630	5.370	98.760	1.240	9.86	300	0.904	bicubic
353	ecaresnet50d	94.620	5.380	98.890	1.110	25.58	224	0.875	bicubic
354	gernet_m	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
355	efficientnet_b2	94.610	5.390	98.710	1.290	9.11	288	1.000	bicubic
356	pit_s_224	94.590	5.410	98.700	1.300	23.46	224	0.900	bicubic
357	sebotnet33ts_256	94.580	5.420	98.500	1.500	13.70	256	0.940	bicubic
358	repvgg_b3	94.570	5.430	98.780	1.220	123.09	224	0.875	bilinear
359	poolformer_s24	94.550	5.450	98.880	1.120	21.39	224	0.900	bicubic
360	nf_resnet50	94.550	5.450	98.790	1.210	25.56	288	0.940	bicubic
361	seresnet50	94.550	5.450	98.750	1.250	28.09	224	0.875	bicubic
362	mobilevitv2_150	94.550	5.450	98.710	1.290	10.59	256	0.888	bicubic
363	regnety_320	94.540	5.460	98.860	1.140	145.05	224	0.875	bicubic
364	gluon_resnext101_32x4d	94.540	5.460	98.630	1.370	44.18	224	0.875	bicubic
365	resnext50_32x4d	94.540	5.460	98.610	1.390	25.03	224	0.950	bicubic
366	inception_resnet_v2	94.530	5.470	98.780	1.220	55.84	299	0.897	bicubic
367	xcit_tiny_24_p16_224_dist	94.530	5.470	98.780	1.220	12.12	224	1.000	bicubic
368	repvgg_b3g4	94.520	5.480	98.970	1.030	83.83	224	0.875	bilinear
369	convmixer_768_32	94.500	5.500	98.850	1.150	21.11	224	0.960	bicubic
370	gcresnext50ts	94.490	5.510	98.670	1.330	15.67	256	0.900	bicubic
371	tf_efficientnet_b2_ap	94.490	5.510	98.620	1.380	9.11	260	0.890	bicubic
372	regnety_120	94.480	5.520	98.810	1.190	51.82	224	0.875	bicubic
373	rexnet_150	94.480	5.520	98.790	1.210	9.73	224	0.875	bicubic
374	gcresnet33ts	94.470	5.530	98.770	1.230	19.88	256	0.900	bicubic
375	darknetaa53	94.470	5.530	98.760	1.240	36.02	288	1.000	bilinear
376	resmlp_24_distilled_224	94.460	5.540	98.770	1.230	30.02	224	0.875	bicubic
377	regnetx_320	94.460	5.540	98.740	1.260	107.81	224	0.875	bicubic
378	ssl_resnet50	94.440	5.560	98.920	1.080	25.56	224	0.875	bilinear
379	resnetv2_50	94.430	5.570	98.730	1.270	25.55	224	0.950	bicubic
380	tf_efficientnetv2_b2	94.420	5.580	98.570	1.430	10.10	260	0.890	bicubic
381	efficientnet_el_pruned	94.400	5.600	98.740	1.260	10.59	300	0.904	bicubic
382	tf_efficientnet_el	94.400	5.600	98.710	1.290	10.59	300	0.904	bicubic
383	deit_small_patch16_224	94.390	5.610	98.690	1.310	22.05	224	0.900	bicubic
384	inception_v4	94.380	5.620	98.580	1.420	42.68	299	0.875	bicubic
385	legacy_seresnext101_32x4d	94.370	5.630	98.650	1.350	48.96	224	0.875	bilinear
386	tf_efficientnet_b2	94.360	5.640	98.610	1.390	9.11	260	0.890	bicubic
387	resnet50_gn	94.350	5.650	98.710	1.290	25.56	224	0.940	bicubic
388	resnet50	94.340	5.660	98.440	1.560	25.56	224	0.950	bicubic
389	gluon_seresnext50_32x4d	94.330	5.670	98.610	1.390	27.56	224	0.875	bicubic
390	ecaresnet26t	94.320	5.680	98.720	1.280	16.01	320	0.950	bicubic
391	dpn107	94.310	5.690	98.470	1.530	86.92	224	0.875	bicubic
392	resnetrs50	94.300	5.700	98.640	1.360	35.69	224	0.910	bicubic
393	xception71	94.280	5.720	98.640	1.360	42.34	299	0.903	bicubic
394	cait_xxs36_224	94.260	5.740	98.720	1.280	17.30	224	1.000	bicubic
395	resnet50d	94.260	5.740	98.720	1.280	25.58	224	0.875	bicubic
396	gluon_xception65	94.260	5.740	98.570	1.430	39.92	299	0.903	bicubic
397	skresnext50_32x4d	94.250	5.750	98.460	1.540	27.48	224	0.875	bicubic
398	regnetx_120	94.240	5.760	98.650	1.350	46.11	224	0.875	bicubic
399	dpn92	94.230	5.770	98.730	1.270	37.67	224	0.875	bicubic
400	gluon_resnet101_v1d	94.230	5.770	98.550	1.450	44.57	224	0.875	bicubic
401	ecaresnet50d_pruned	94.220	5.780	98.730	1.270	19.94	224	0.875	bicubic
402	tf_efficientnet_lite3	94.210	5.790	98.640	1.360	8.20	300	0.904	bilinear
403	resmlp_36_224	94.200	5.800	98.660	1.340	44.69	224	0.875	bicubic
404	eca_resnet33ts	94.190	5.810	98.760	1.240	19.68	256	0.900	bicubic
405	resnext50d_32x4d	94.190	5.810	98.560	1.440	25.05	224	0.875	bicubic
406	mixnet_xl	94.190	5.810	98.340	1.660	11.90	224	0.875	bicubic
407	levit_192	94.180	5.820	98.540	1.460	10.95	224	0.900	bicubic
408	gluon_resnet152_v1c	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
409	ens_adv_inception_resnet_v2	94.160	5.840	98.600	1.400	55.84	299	0.897	bicubic
410	gmlp_s16_224	94.160	5.840	98.500	1.500	19.42	224	0.875	bicubic
411	efficientnet_b2_pruned	94.150	5.850	98.530	1.470	8.31	260	0.890	bicubic
412	vit_base_patch16_224_sam	94.140	5.860	98.670	1.330	86.57	224	0.900	bicubic
413	regnetx_160	94.130	5.870	98.740	1.260	54.28	224	0.875	bicubic
414	dpn98	94.120	5.880	98.580	1.420	61.57	224	0.875	bicubic
415	nf_regnet_b1	94.110	5.890	98.630	1.370	10.22	288	0.900	bicubic
416	ese_vovnet39b	94.090	5.910	98.660	1.340	24.57	224	0.875	bicubic
417	xcit_tiny_24_p16_224	94.070	5.930	98.530	1.470	12.12	224	1.000	bicubic
418	gluon_resnet152_v1b	94.070	5.930	98.460	1.540	60.19	224	0.875	bicubic
419	coat_lite_mini	94.050	5.950	98.560	1.440	11.01	224	0.900	bicubic
420	eca_halonext26ts	94.040	5.960	98.490	1.510	10.76	256	0.940	bicubic
421	hrnet_w64	94.020	5.980	98.620	1.380	128.06	224	0.875	bilinear
422	resmlp_24_224	94.020	5.980	98.330	1.670	30.02	224	0.875	bicubic
423	halonet26t	94.010	5.990	98.500	1.500	12.48	256	0.950	bicubic
424	dpn131	93.990	6.010	98.720	1.280	79.25	224	0.875	bicubic
425	fbnetv3_b	93.970	6.030	98.630	1.370	8.60	256	0.950	bilinear
426	mobilevitv2_125	93.970	6.030	98.560	1.440	7.48	256	0.888	bicubic
427	dla102x2	93.970	6.030	98.500	1.500	41.28	224	0.875	bilinear
428	tf_efficientnetv2_b1	93.940	6.060	98.620	1.380	8.14	240	0.882	bicubic
429	resnetblur50	93.940	6.060	98.580	1.420	25.56	224	0.875	bicubic
430	fbnetv3_d	93.930	6.070	98.740	1.260	10.31	256	0.950	bilinear
431	hrnet_w48	93.920	6.080	98.610	1.390	77.47	224	0.875	bilinear
432	tf_efficientnet_cc_b1_8e	93.910	6.090	98.260	1.740	39.72	240	0.882	bicubic
433	rexnet_130	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
434	regnetx_064	93.890	6.110	98.630	1.370	26.21	224	0.875	bicubic
435	regnetx_080	93.870	6.130	98.520	1.480	39.57	224	0.875	bicubic
436	efficientnet_em	93.840	6.160	98.810	1.190	6.90	240	0.882	bicubic
437	repvgg_b2g4	93.840	6.160	98.590	1.410	61.76	224	0.875	bilinear
438	lambda_resnet26t	93.830	6.170	98.650	1.350	10.96	256	0.940	bicubic
439	pit_xs_distilled_224	93.820	6.180	98.670	1.330	11.00	224	0.900	bicubic
440	resnext101_32x8d	93.820	6.180	98.580	1.420	88.79	224	0.875	bilinear
441	gluon_resnext50_32x4d	93.810	6.190	98.410	1.590	25.03	224	0.875	bicubic
442	eca_botnext26ts_256	93.780	6.220	98.500	1.500	10.59	256	0.950	bicubic
443	gluon_resnet50_v1d	93.770	6.230	98.390	1.610	25.58	224	0.875	bicubic
444	gluon_resnet101_v1b	93.750	6.250	98.380	1.620	44.55	224	0.875	bicubic
445	res2net101_26w_4s	93.750	6.250	98.310	1.690	45.21	224	0.875	bilinear
446	cspresnet50	93.730	6.270	98.640	1.360	21.62	256	0.887	bilinear
447	legacy_seresnext50_32x4d	93.730	6.270	98.580	1.420	27.56	224	0.875	bilinear
448	vit_relpos_base_patch32_plus_rpn_256	93.730	6.270	98.070	1.930	119.42	256	0.900	bicubic
449	lambda_resnet26rpt_256	93.720	6.280	98.520	1.480	10.99	256	0.940	bicubic
450	wide_resnet101_2	93.710	6.290	98.540	1.460	126.89	224	0.875	bilinear
451	dpn68b	93.690	6.310	98.520	1.480	12.61	224	0.875	bicubic
452	tf_efficientnet_b1_ap	93.680	6.320	98.360	1.640	7.79	240	0.882	bicubic
453	gluon_resnet101_v1c	93.670	6.330	98.420	1.580	44.57	224	0.875	bicubic
454	vit_tiny_patch16_384	93.650	6.350	98.600	1.400	5.79	384	1.000	bicubic
455	tf_efficientnet_b0_ns	93.630	6.370	98.640	1.360	5.29	224	0.875	bicubic
456	gluon_resnet50_v1s	93.620	6.380	98.460	1.540	25.68	224	0.875	bicubic
457	resnet33ts	93.600	6.400	98.530	1.470	19.68	256	0.900	bicubic
458	cait_xxs24_224	93.600	6.400	98.440	1.560	11.96	224	1.000	bicubic
459	coat_tiny	93.590	6.410	98.420	1.580	5.50	224	0.900	bicubic
460	regnetx_040	93.560	6.440	98.550	1.450	22.12	224	0.875	bicubic
461	hrnet_w44	93.550	6.450	98.700	1.300	67.06	224	0.875	bilinear
462	hrnet_w32	93.530	6.470	98.460	1.540	41.23	224	0.875	bilinear
463	xcit_nano_12_p8_384_dist	93.520	6.480	98.540	1.460	3.05	384	1.000	bicubic
464	dla102x	93.520	6.480	98.500	1.500	26.31	224	0.875	bilinear
465	botnet26t_256	93.510	6.490	98.300	1.700	12.49	256	0.950	bicubic
466	tf_efficientnet_b1	93.500	6.500	98.360	1.640	7.79	240	0.882	bicubic
467	repvgg_b2	93.490	6.510	98.730	1.270	89.02	224	0.875	bilinear
468	hrnet_w40	93.490	6.510	98.580	1.420	57.56	224	0.875	bilinear
469	xception	93.470	6.530	98.530	1.470	22.86	299	0.897	bicubic
470	resnet32ts	93.460	6.540	98.490	1.510	17.96	256	0.900	bicubic
471	gluon_inception_v3	93.450	6.550	98.570	1.430	23.83	299	0.875	bicubic
472	mixnet_l	93.450	6.550	98.220	1.780	7.33	224	0.875	bicubic
473	xception41	93.430	6.570	98.430	1.570	26.97	299	0.903	bicubic
474	res2net50_26w_8s	93.420	6.580	98.170	1.830	48.40	224	0.875	bilinear
475	res2net50_26w_6s	93.410	6.590	98.280	1.720	37.05	224	0.875	bilinear
476	xcit_tiny_12_p16_224_dist	93.400	6.600	98.480	1.520	6.72	224	1.000	bicubic
477	legacy_seresnet152	93.390	6.610	98.340	1.660	66.82	224	0.875	bilinear
478	cs3darknet_m	93.360	6.640	98.600	1.400	9.31	288	0.950	bicubic
479	dla169	93.340	6.660	98.590	1.410	53.39	224	0.875	bilinear
480	resnest26d	93.330	6.670	98.630	1.370	17.07	224	0.875	bilinear
481	levit_128	93.330	6.670	98.380	1.620	9.21	224	0.900	bicubic
482	bat_resnext26ts	93.330	6.670	98.350	1.650	10.73	256	0.900	bicubic
483	repvgg_b1	93.320	6.680	98.510	1.490	57.42	224	0.875	bilinear
484	tf_inception_v3	93.320	6.680	98.030	1.970	23.83	299	0.875	bicubic
485	tf_mixnet_l	93.320	6.680	98.030	1.970	7.33	224	0.875	bicubic
486	tv_resnet152	93.310	6.690	98.390	1.610	60.19	224	0.875	bilinear
487	mobilevitv2_100	93.300	6.700	98.280	1.720	4.90	256	0.888	bicubic
488	legacy_seresnet101	93.290	6.710	98.510	1.490	49.33	224	0.875	bilinear
489	selecsls60b	93.290	6.710	98.280	1.720	32.77	224	0.875	bicubic
490	efficientnet_b1	93.240	6.760	98.300	1.700	7.79	256	1.000	bicubic
491	coat_lite_tiny	93.230	6.770	98.260	1.740	5.72	224	0.900	bicubic
492	hrnet_w30	93.200	6.800	98.410	1.590	37.71	224	0.875	bilinear
493	mobilevit_s	93.180	6.820	98.440	1.560	5.58	256	0.900	bicubic
494	dla60_res2next	93.170	6.830	98.400	1.600	17.03	224	0.875	bilinear
495	dla60_res2net	93.160	6.840	98.400	1.600	20.85	224	0.875	bilinear
496	efficientnet_es	93.140	6.860	98.420	1.580	5.44	224	0.875	bicubic
497	dla60x	93.120	6.880	98.510	1.490	17.35	224	0.875	bilinear
498	regnetx_032	93.120	6.880	98.390	1.610	15.30	224	0.875	bicubic
499	pit_xs_224	93.120	6.880	98.330	1.670	10.62	224	0.900	bicubic
500	tf_efficientnetv2_b0	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
501	dla102	93.060	6.940	98.550	1.450	33.27	224	0.875	bilinear
502	gluon_resnet50_v1c	93.030	6.970	98.390	1.610	25.58	224	0.875	bicubic
503	regnety_016	93.030	6.970	98.350	1.650	11.20	224	0.875	bicubic
504	rexnet_100	93.030	6.970	98.190	1.810	4.80	224	0.875	bicubic
505	selecsls60	93.020	6.980	98.300	1.700	30.67	224	0.875	bicubic
506	repvgg_b1g4	92.980	7.020	98.430	1.570	39.97	224	0.875	bilinear
507	cs3darknet_focus_m	92.970	7.030	98.390	1.610	9.30	288	0.950	bicubic
508	legacy_seresnet50	92.970	7.030	98.190	1.810	28.09	224	0.875	bilinear
509	hardcorenas_f	92.960	7.040	98.160	1.840	8.20	224	0.875	bilinear
510	tf_efficientnet_em	92.930	7.070	98.200	1.800	6.90	240	0.882	bicubic
511	crossvit_9_dagger_240	92.890	7.110	98.250	1.750	8.78	240	0.875	bicubic
512	adv_inception_v3	92.880	7.120	98.140	1.860	23.83	299	0.875	bicubic
513	res2next50	92.860	7.140	98.190	1.810	24.67	224	0.875	bilinear
514	resmlp_12_distilled_224	92.840	7.160	98.140	1.860	15.35	224	0.875	bicubic
515	tf_efficientnet_cc_b0_8e	92.830	7.170	98.180	1.820	24.01	224	0.875	bicubic
516	gmixer_24_224	92.830	7.170	97.880	2.120	24.72	224	0.875	bicubic
517	seresnext26t_32x4d	92.820	7.180	98.370	1.630	16.81	224	0.875	bicubic
518	tv_resnet101	92.820	7.180	98.250	1.750	44.55	224	0.875	bilinear
519	gcresnext26ts	92.780	7.220	98.260	1.740	10.48	256	0.900	bicubic
520	efficientnet_b1_pruned	92.770	7.230	98.040	1.960	6.33	240	0.882	bicubic
521	tv_resnext50_32x4d	92.750	7.250	98.280	1.720	25.03	224	0.875	bilinear
522	resnet26t	92.750	7.250	98.230	1.770	16.01	256	0.940	bicubic
523	densenet201	92.740	7.260	98.230	1.770	20.01	224	0.875	bicubic
524	res2net50_14w_8s	92.740	7.260	98.180	1.820	25.06	224	0.875	bilinear
525	inception_v3	92.720	7.280	97.970	2.030	23.83	299	0.875	bicubic
526	seresnext26ts	92.690	7.310	98.290	1.710	10.39	256	0.900	bicubic
527	seresnext26d_32x4d	92.690	7.310	98.150	1.850	16.81	224	0.875	bicubic
528	efficientnet_b0	92.690	7.310	98.070	1.930	5.29	224	0.875	bicubic
529	resnet34d	92.680	7.320	98.310	1.690	21.82	224	0.875	bicubic
530	tf_efficientnet_lite2	92.650	7.350	98.230	1.770	6.09	260	0.890	bicubic
531	legacy_seresnext26_32x4d	92.640	7.360	98.130	1.870	16.79	224	0.875	bicubic
532	poolformer_s12	92.630	7.370	98.200	1.800	11.92	224	0.900	bicubic
533	tf_efficientnet_lite1	92.620	7.380	98.080	1.920	5.42	240	0.882	bicubic
534	eca_resnext26ts	92.610	7.390	98.260	1.740	10.30	256	0.900	bicubic
535	tf_efficientnet_cc_b0_4e	92.590	7.410	98.080	1.920	13.31	224	0.875	bicubic
536	hardcorenas_e	92.570	7.430	98.100	1.900	8.07	224	0.875	bilinear
537	gluon_resnet50_v1b	92.540	7.460	98.170	1.830	25.56	224	0.875	bicubic
538	res2net50_48w_2s	92.540	7.460	98.080	1.920	25.29	224	0.875	bilinear
539	densenet161	92.500	7.500	98.290	1.710	28.68	224	0.875	bicubic
540	xcit_tiny_12_p16_224	92.500	7.500	98.240	1.760	6.72	224	1.000	bicubic
541	res2net50_26w_4s	92.490	7.510	98.060	1.940	25.70	224	0.875	bilinear
542	tinynet_a	92.440	7.560	98.080	1.920	6.19	192	0.875	bicubic
543	convmixer_1024_20_ks9_p14	92.430	7.570	98.270	1.730	24.38	224	0.960	bicubic
544	mixnet_m	92.430	7.570	97.860	2.140	5.01	224	0.875	bicubic
545	mobilenetv2_120d	92.400	7.600	98.050	1.950	5.83	224	0.875	bicubic
546	skresnet34	92.390	7.610	98.150	1.850	22.28	224	0.875	bicubic
547	hardcorenas_d	92.390	7.610	98.080	1.920	7.50	224	0.875	bilinear
548	hrnet_w18	92.320	7.680	98.250	1.750	21.30	224	0.875	bilinear
549	tf_mixnet_m	92.320	7.680	97.890	2.110	5.01	224	0.875	bicubic
550	selecsls42b	92.280	7.720	98.140	1.860	32.46	224	0.875	bicubic
551	ese_vovnet19b_dw	92.280	7.720	98.090	1.910	6.54	224	0.875	bicubic
552	mobilenetv3_large_100_miil	92.270	7.730	97.640	2.360	5.48	224	0.875	bilinear
553	tf_efficientnet_b0	92.250	7.750	97.990	2.010	5.29	224	0.875	bicubic
554	resmlp_12_224	92.210	7.790	98.160	1.840	15.35	224	0.875	bicubic
555	dla60	92.210	7.790	98.100	1.900	22.04	224	0.875	bilinear
556	tf_efficientnet_b0_ap	92.200	7.800	98.020	1.980	5.29	224	0.875	bicubic
557	regnetx_016	92.160	7.840	98.200	1.800	9.19	224	0.875	bicubic
558	gernet_s	92.140	7.860	98.200	1.800	8.17	224	0.875	bilinear
559	xcit_nano_12_p8_224_dist	92.100	7.900	98.150	1.850	3.05	224	1.000	bicubic
560	resnet26d	92.070	7.930	97.970	2.030	16.01	224	0.875	bicubic
561	vit_tiny_r_s16_p8_384	92.040	7.960	98.290	1.710	6.36	384	1.000	bicubic
562	vit_small_patch32_224	92.030	7.970	98.230	1.770	22.88	224	0.900	bicubic
563	dpn68	92.030	7.970	98.050	1.950	12.61	224	0.875	bicubic
564	hardcorenas_c	92.030	7.970	97.840	2.160	5.52	224	0.875	bilinear
565	tf_efficientnet_es	91.980	8.020	97.860	2.140	5.44	224	0.875	bicubic
566	repvgg_a2	91.940	8.060	98.150	1.850	28.21	224	0.875	bilinear
567	levit_128s	91.930	8.070	98.070	1.930	7.78	224	0.900	bicubic
568	densenet169	91.920	8.080	98.100	1.900	14.15	224	0.875	bicubic
569	densenetblur121d	91.910	8.090	98.070	1.930	8.00	224	0.875	bicubic
570	tv_resnet50	91.900	8.100	98.040	1.960	25.56	224	0.875	bilinear
571	resnext26ts	91.870	8.130	97.920	2.080	10.30	256	0.900	bicubic
572	mixer_b16_224	91.870	8.130	97.250	2.750	59.88	224	0.875	bicubic
573	xcit_nano_12_p16_384_dist	91.830	8.170	98.020	1.980	3.05	384	1.000	bicubic
574	mobilenetv2_140	91.830	8.170	97.850	2.150	6.11	224	0.875	bicubic
575	mixnet_s	91.820	8.180	97.690	2.310	4.13	224	0.875	bicubic
576	vit_tiny_patch16_224	91.770	8.230	98.040	1.960	5.72	224	0.900	bicubic
577	mobilevitv2_075	91.760	8.240	97.860	2.140	2.87	256	0.888	bicubic
578	hardcorenas_b	91.760	8.240	97.780	2.220	5.18	224	0.875	bilinear
579	regnety_008	91.720	8.280	98.180	1.820	6.26	224	0.875	bicubic
580	resnest14d	91.720	8.280	97.870	2.130	10.61	224	0.875	bilinear
581	densenet121	91.580	8.420	98.030	1.970	7.98	224	0.875	bicubic
582	tf_mixnet_s	91.510	8.490	97.610	2.390	4.13	224	0.875	bicubic
583	repvgg_b0	91.400	8.600	97.990	2.010	15.82	224	0.875	bilinear
584	regnety_006	91.370	8.630	97.710	2.290	6.06	224	0.875	bicubic
585	hardcorenas_a	91.350	8.650	97.860	2.140	5.26	224	0.875	bilinear
586	mobilenetv3_large_100	91.330	8.670	97.720	2.280	5.48	224	0.875	bicubic
587	semnasnet_100	91.280	8.720	97.560	2.440	3.89	224	0.875	bicubic
588	tf_mobilenetv3_large_100	91.220	8.780	97.660	2.340	5.48	224	0.875	bilinear
589	mobilenetv3_rw	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
590	hrnet_w18_small_v2	91.190	8.810	97.900	2.100	15.60	224	0.875	bilinear
591	efficientnet_es_pruned	91.180	8.820	97.750	2.250	5.44	224	0.875	bicubic
592	resnet34	91.130	8.870	97.620	2.380	21.80	224	0.875	bilinear
593	resnet26	91.120	8.880	97.750	2.250	16.00	224	0.875	bicubic
594	efficientnet_lite0	91.110	8.890	97.630	2.370	4.65	224	0.875	bicubic
595	edgenext_x_small	91.090	8.910	97.550	2.450	2.34	256	0.900	bicubic
596	regnetx_008	91.050	8.950	97.710	2.290	7.26	224	0.875	bicubic
597	tf_efficientnet_lite0	91.040	8.960	97.590	2.410	4.65	224	0.875	bicubic
598	xcit_nano_12_p8_224	91.020	8.980	97.790	2.210	3.05	224	1.000	bicubic
599	gluon_resnet34_v1b	90.960	9.040	97.640	2.360	21.80	224	0.875	bicubic
600	mobilenetv2_110d	90.960	9.040	97.560	2.440	4.52	224	0.875	bicubic
601	tinynet_b	90.920	9.080	97.670	2.330	3.73	188	0.875	bicubic
602	pit_ti_distilled_224	90.900	9.100	97.720	2.280	5.10	224	0.900	bicubic
603	legacy_seresnet34	90.900	9.100	97.580	2.420	21.96	224	0.875	bilinear
604	tv_densenet121	90.890	9.110	97.710	2.290	7.98	224	0.875	bicubic
605	mobilevit_xs	90.820	9.180	97.920	2.080	2.32	256	0.900	bicubic
606	dla34	90.780	9.220	97.660	2.340	15.74	224	0.875	bilinear
607	deit_tiny_distilled_patch16_224	90.710	9.290	97.570	2.430	5.91	224	0.900	bicubic
608	fbnetc_100	90.710	9.290	97.210	2.790	5.57	224	0.875	bilinear
609	swsl_resnet18	90.690	9.310	97.700	2.300	11.69	224	0.875	bilinear
610	convit_tiny	90.640	9.360	97.740	2.260	5.71	224	0.875	bicubic
611	crossvit_9_240	90.630	9.370	97.740	2.260	8.55	240	0.875	bicubic
612	regnety_004	90.510	9.490	97.540	2.460	4.34	224	0.875	bicubic
613	mnasnet_100	90.510	9.490	97.470	2.530	4.38	224	0.875	bicubic
614	regnetx_006	90.360	9.640	97.430	2.570	6.20	224	0.875	bicubic
615	spnasnet_100	90.340	9.660	97.190	2.810	4.42	224	0.875	bilinear
616	crossvit_tiny_240	90.240	9.760	97.590	2.410	7.01	240	0.875	bicubic
617	ssl_resnet18	90.210	9.790	97.550	2.450	11.69	224	0.875	bilinear
618	vgg16_bn	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
619	vgg19_bn	90.080	9.920	97.580	2.420	143.68	224	0.875	bilinear
620	semnasnet_075	90.060	9.940	97.430	2.570	2.91	224	0.875	bicubic
621	ghostnet_100	90.030	9.970	97.370	2.630	5.18	224	0.875	bilinear
622	pit_ti_224	89.950	10.050	97.440	2.560	4.85	224	0.900	bicubic
623	tv_resnet34	89.930	10.070	97.340	2.660	21.80	224	0.875	bilinear
624	vit_base_patch32_224_sam	89.750	10.250	97.000	3.000	88.22	224	0.900	bicubic
625	xcit_nano_12_p16_224_dist	89.690	10.310	97.100	2.900	3.05	224	1.000	bicubic
626	tf_mobilenetv3_large_075	89.680	10.320	97.210	2.790	3.99	224	0.875	bilinear
627	deit_tiny_patch16_224	89.660	10.340	97.450	2.550	5.72	224	0.900	bicubic
628	skresnet18	89.660	10.340	97.240	2.760	11.96	224	0.875	bicubic
629	mobilenetv2_100	89.610	10.390	97.150	2.850	3.50	224	0.875	bicubic
630	resnet18d	89.280	10.720	97.140	2.860	11.71	224	0.875	bicubic
631	vit_tiny_r_s16_p8_224	89.180	10.820	97.230	2.770	6.34	224	0.900	bicubic
632	vgg19	89.040	10.960	96.870	3.130	143.67	224	0.875	bilinear
633	resnet14t	89.040	10.960	96.600	3.400	10.08	224	0.950	bilinear
634	hrnet_w18_small	89.030	10.970	97.110	2.890	13.19	224	0.875	bilinear
635	tf_mobilenetv3_large_minimal_100	88.970	11.030	96.850	3.150	3.92	224	0.875	bilinear
636	regnetx_004	88.900	11.100	97.120	2.880	5.16	224	0.875	bicubic
637	legacy_seresnet18	88.880	11.120	96.980	3.020	11.78	224	0.875	bicubic
638	lcnet_100	88.790	11.210	96.730	3.270	2.95	224	0.875	bicubic
639	vgg13_bn	88.760	11.240	96.970	3.030	133.05	224	0.875	bilinear
640	xcit_nano_12_p16_224	88.610	11.390	96.790	3.210	3.05	224	1.000	bicubic
641	vgg16	88.550	11.450	96.790	3.210	138.36	224	0.875	bilinear
642	gluon_resnet18_v1b	88.400	11.600	96.680	3.320	11.69	224	0.875	bicubic
643	edgenext_xx_small	88.350	11.650	96.520	3.480	1.33	256	0.900	bicubic
644	mobilevitv2_050	88.230	11.770	96.990	3.010	1.37	256	0.888	bicubic
645	tinynet_c	87.780	12.220	96.370	3.630	2.46	184	0.875	bicubic
646	vgg11_bn	87.500	12.500	96.820	3.180	132.87	224	0.875	bilinear
647	resnet18	87.390	12.610	96.290	3.710	11.69	224	0.875	bilinear
648	regnety_002	87.380	12.620	96.590	3.410	3.16	224	0.875	bicubic
649	mobilevit_xxs	87.190	12.810	96.100	3.900	1.27	256	0.900	bicubic
650	mixer_l16_224	87.140	12.860	93.520	6.480	208.20	224	0.875	bicubic
651	vgg13	87.050	12.950	96.320	3.680	133.05	224	0.875	bilinear
652	vgg11	86.550	13.450	96.280	3.720	132.86	224	0.875	bilinear
653	dla60x_c	86.270	13.730	96.170	3.830	1.32	224	0.875	bilinear
654	resnet10t	86.210	13.790	95.660	4.340	5.44	224	0.950	bilinear
655	regnetx_002	86.200	13.800	95.980	4.020	2.68	224	0.875	bicubic
656	lcnet_075	85.990	14.010	95.690	4.310	2.36	224	0.875	bicubic
657	mobilenetv3_small_100	85.220	14.780	95.630	4.370	2.54	224	0.875	bicubic
658	tf_mobilenetv3_small_100	85.190	14.810	95.770	4.230	2.54	224	0.875	bilinear
659	tinynet_d	84.760	15.240	95.180	4.820	2.34	152	0.875	bicubic
660	mnasnet_small	84.440	15.560	95.180	4.820	2.03	224	0.875	bicubic
661	dla46x_c	84.250	15.750	95.260	4.740	1.07	224	0.875	bilinear
662	mobilenetv2_050	83.890	16.110	94.720	5.280	1.97	224	0.875	bicubic
663	dla46_c	83.640	16.360	94.920	5.080	1.30	224	0.875	bilinear
664	tf_mobilenetv3_small_075	83.520	16.480	94.800	5.200	2.04	224	0.875	bilinear
665	mobilenetv3_small_075	83.040	16.960	94.100	5.900	2.04	224	0.875	bicubic
666	lcnet_050	81.780	18.220	93.720	6.280	1.88	224	0.875	bicubic
667	tf_mobilenetv3_small_minimal_100	81.400	18.600	93.680	6.320	2.04	224	0.875	bilinear
668	tinynet_e	78.900	21.100	92.560	7.440	2.04	106	0.875	bicubic
669	mobilenetv3_small_050	76.990	23.010	91.300	8.700	1.59	224	0.875	bicubic