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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_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	convnext_xlarge_384_in22ft1k	98.350	1.650	99.800	0.200	350.20	384	1.000	bicubic
7	convnext_large_384_in22ft1k	98.220	1.780	99.730	0.270	197.77	384	1.000	bicubic
8	vit_large_patch16_384	98.220	1.780	99.800	0.200	304.72	384	1.000	bicubic
9	beit_large_patch16_224	98.180	1.820	99.760	0.240	304.43	224	0.900	bicubic
10	swin_large_patch4_window12_384	98.040	1.960	99.690	0.310	196.74	384	1.000	bicubic
11	convnext_base_384_in22ft1k	97.950	2.050	99.650	0.350	88.59	384	1.000	bicubic
12	convnext_xlarge_in22ft1k	97.920	2.080	99.680	0.320	350.20	224	0.875	bicubic
13	tf_efficientnet_b7_ns	97.910	2.090	99.720	0.280	66.35	600	0.949	bicubic
14	swin_base_patch4_window12_384	97.890	2.110	99.710	0.290	87.90	384	1.000	bicubic
15	vit_large_r50_s32_384	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
16	vit_base_patch16_384	97.840	2.160	99.670	0.330	86.86	384	1.000	bicubic
17	convnext_large_in22ft1k	97.830	2.170	99.690	0.310	197.77	224	0.875	bicubic
18	beit_base_patch16_384	97.810	2.190	99.700	0.300	86.74	384	1.000	bicubic
19	volo_d5_512	97.770	2.230	99.670	0.330	296.09	512	1.150	bicubic
20	volo_d5_448	97.760	2.240	99.620	0.380	295.91	448	1.150	bicubic
21	tf_efficientnetv2_l_in21ft1k	97.700	2.300	99.670	0.330	118.52	480	1.000	bicubic
22	volo_d4_448	97.670	2.330	99.610	0.390	193.41	448	1.150	bicubic
23	swin_large_patch4_window7_224	97.650	2.350	99.580	0.420	196.53	224	0.900	bicubic
24	tf_efficientnetv2_xl_in21ft1k	97.650	2.350	99.490	0.510	208.12	512	1.000	bicubic
25	vit_large_patch16_224	97.640	2.360	99.590	0.410	304.33	224	0.900	bicubic
26	tf_efficientnet_b6_ns	97.630	2.370	99.580	0.420	43.04	528	0.942	bicubic
27	ig_resnext101_32x48d	97.620	2.380	99.710	0.290	828.41	224	0.875	bilinear
28	dm_nfnet_f6	97.600	2.400	99.550	0.450	438.36	576	0.956	bicubic
29	dm_nfnet_f4	97.580	2.420	99.510	0.490	316.07	512	0.951	bicubic
30	vit_base_patch8_224	97.580	2.420	99.670	0.330	86.58	224	0.900	bicubic
31	volo_d3_448	97.550	2.450	99.550	0.450	86.63	448	1.000	bicubic
32	dm_nfnet_f5	97.540	2.460	99.570	0.430	377.21	544	0.954	bicubic
33	xcit_large_24_p8_384_dist	97.520	2.480	99.540	0.460	188.93	384	1.000	bicubic
34	xcit_large_24_p16_384_dist	97.520	2.480	99.480	0.520	189.10	384	1.000	bicubic
35	tf_efficientnet_b5_ns	97.500	2.500	99.630	0.370	30.39	456	0.934	bicubic
36	resnetv2_152x4_bitm	97.490	2.510	99.610	0.390	936.53	480	1.000	bilinear
37	tf_efficientnetv2_m_in21ft1k	97.480	2.520	99.530	0.470	54.14	480	1.000	bicubic
38	cait_m48_448	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
39	convnext_base_in22ft1k	97.470	2.530	99.600	0.400	88.59	224	0.875	bicubic
40	cait_m36_384	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
41	volo_d5_224	97.390	2.610	99.570	0.430	295.46	224	0.960	bicubic
42	ig_resnext101_32x32d	97.370	2.630	99.680	0.320	468.53	224	0.875	bilinear
43	dm_nfnet_f3	97.350	2.650	99.560	0.440	254.92	416	0.940	bicubic
44	cait_s36_384	97.330	2.670	99.530	0.470	68.37	384	1.000	bicubic
45	volo_d2_384	97.310	2.690	99.600	0.400	58.87	384	1.000	bicubic
46	volo_d4_224	97.300	2.700	99.520	0.480	192.96	224	0.960	bicubic
47	xcit_medium_24_p8_384_dist	97.290	2.710	99.510	0.490	84.32	384	1.000	bicubic
48	tf_efficientnetv2_l	97.280	2.720	99.550	0.450	118.52	480	1.000	bicubic
49	xcit_medium_24_p16_384_dist	97.280	2.720	99.460	0.540	84.40	384	1.000	bicubic
50	swin_base_patch4_window7_224	97.250	2.750	99.530	0.470	87.77	224	0.900	bicubic
51	xcit_small_24_p8_384_dist	97.240	2.760	99.610	0.390	47.63	384	1.000	bicubic
52	xcit_small_12_p8_384_dist	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
53	tf_efficientnet_b7_ap	97.200	2.800	99.540	0.460	66.35	600	0.949	bicubic
54	tf_efficientnet_b8	97.200	2.800	99.500	0.500	87.41	672	0.954	bicubic
55	swsl_resnext101_32x8d	97.200	2.800	99.570	0.430	88.79	224	0.875	bilinear
56	regnetz_e8	97.200	2.800	99.500	0.500	57.70	320	1.000	bicubic
57	vit_base_r50_s16_384	97.180	2.820	99.560	0.440	98.95	384	1.000	bicubic
58	tf_efficientnetv2_m	97.140	2.860	99.410	0.590	54.14	480	1.000	bicubic
59	xcit_small_24_p16_384_dist	97.120	2.880	99.460	0.540	47.67	384	1.000	bicubic
60	tf_efficientnet_b8_ap	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
61	beit_base_patch16_224	97.090	2.910	99.610	0.390	86.53	224	0.900	bicubic
62	eca_nfnet_l2	97.090	2.910	99.510	0.490	56.72	384	1.000	bicubic
63	volo_d3_224	97.090	2.910	99.470	0.530	86.33	224	0.960	bicubic
64	tf_efficientnet_b6_ap	97.080	2.920	99.620	0.380	43.04	528	0.942	bicubic
65	ecaresnet269d	97.080	2.920	99.470	0.530	102.09	352	1.000	bicubic
66	cait_s24_384	97.080	2.920	99.430	0.570	47.06	384	1.000	bicubic
67	xcit_large_24_p8_224_dist	97.070	2.930	99.420	0.580	188.93	224	1.000	bicubic
68	dm_nfnet_f2	97.030	2.970	99.440	0.560	193.78	352	0.920	bicubic
69	resnetv2_152x2_bitm	97.010	2.990	99.590	0.410	236.34	448	1.000	bilinear
70	tf_efficientnet_b7	97.010	2.990	99.520	0.480	66.35	600	0.949	bicubic
71	volo_d2_224	97.000	3.000	99.390	0.610	58.68	224	0.960	bicubic
72	resnetv2_101x3_bitm	96.990	3.010	99.490	0.510	387.93	448	1.000	bilinear
73	efficientnetv2_rw_m	96.980	3.020	99.530	0.470	53.24	416	1.000	bicubic
74	deit_base_distilled_patch16_384	96.960	3.040	99.480	0.520	87.63	384	1.000	bicubic
75	tf_efficientnet_b4_ns	96.950	3.050	99.580	0.420	19.34	380	0.922	bicubic
76	xcit_small_12_p16_384_dist	96.930	3.070	99.400	0.600	26.25	384	1.000	bicubic
77	resnetrs420	96.920	3.080	99.460	0.540	191.89	416	1.000	bicubic
78	volo_d1_384	96.920	3.080	99.520	0.480	26.78	384	1.000	bicubic
79	xcit_medium_24_p8_224_dist	96.920	3.080	99.390	0.610	84.32	224	1.000	bicubic
80	dm_nfnet_f1	96.910	3.090	99.410	0.590	132.63	320	0.910	bicubic
81	vit_base_patch16_224	96.880	3.120	99.530	0.470	86.57	224	0.900	bicubic
82	xcit_small_24_p8_224_dist	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
83	resnetv2_152x2_bit_teacher_384	96.830	3.170	99.450	0.550	236.34	384	1.000	bicubic
84	ig_resnext101_32x16d	96.810	3.190	99.600	0.400	194.03	224	0.875	bilinear
85	xcit_large_24_p16_224_dist	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
86	vit_large_r50_s32_224	96.790	3.210	99.350	0.650	328.99	224	0.900	bicubic
87	seresnet152d	96.770	3.230	99.450	0.550	66.84	320	1.000	bicubic
88	seresnext101_32x8d	96.770	3.230	99.350	0.650	93.57	288	1.000	bicubic
89	convnext_large	96.760	3.240	99.300	0.700	197.77	224	0.875	bicubic
90	resnetrs350	96.760	3.240	99.370	0.630	163.96	384	1.000	bicubic
91	tf_efficientnetv2_s_in21ft1k	96.730	3.270	99.420	0.580	21.46	384	1.000	bicubic
92	resnet200d	96.720	3.280	99.330	0.670	64.69	320	1.000	bicubic
93	resnetv2_50x3_bitm	96.710	3.290	99.550	0.450	217.32	448	1.000	bilinear
94	regnetz_040h	96.710	3.290	99.500	0.500	28.94	320	1.000	bicubic
95	regnetz_040	96.710	3.290	99.470	0.530	27.12	320	1.000	bicubic
96	eca_nfnet_l1	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
97	resnetrs200	96.700	3.300	99.370	0.630	93.21	320	1.000	bicubic
98	vit_small_patch16_384	96.700	3.300	99.480	0.520	22.20	384	1.000	bicubic
99	xcit_small_12_p8_224_dist	96.700	3.300	99.390	0.610	26.21	224	1.000	bicubic
100	resnetrs270	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
101	vit_small_r26_s32_384	96.680	3.320	99.580	0.420	36.47	384	1.000	bicubic
102	tf_efficientnet_b6	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
103	tf_efficientnet_b5_ap	96.670	3.330	99.460	0.540	30.39	456	0.934	bicubic
104	pit_b_distilled_224	96.670	3.330	99.350	0.650	74.79	224	0.900	bicubic
105	regnetz_d8	96.620	3.380	99.450	0.550	23.37	320	1.000	bicubic
106	resmlp_big_24_224_in22ft1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
107	regnetz_d8_evos	96.610	3.390	99.440	0.560	23.46	320	0.950	bicubic
108	resnest200e	96.610	3.390	99.350	0.650	70.20	320	0.909	bicubic
109	regnetz_d32	96.600	3.400	99.380	0.620	27.58	320	0.950	bicubic
110	swsl_resnext101_32x16d	96.600	3.400	99.530	0.470	194.03	224	0.875	bilinear
111	xcit_medium_24_p16_224_dist	96.590	3.410	99.270	0.730	84.40	224	1.000	bicubic
112	resnetrs152	96.580	3.420	99.240	0.760	86.62	320	1.000	bicubic
113	cait_xs24_384	96.550	3.450	99.420	0.580	26.67	384	1.000	bicubic
114	xcit_tiny_24_p8_384_dist	96.540	3.460	99.320	0.680	12.11	384	1.000	bicubic
115	efficientnetv2_rw_s	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
116	crossvit_18_dagger_408	96.530	3.470	99.260	0.740	44.61	408	1.000	bicubic
117	regnety_080	96.530	3.470	99.320	0.680	39.18	288	1.000	bicubic
118	resnest269e	96.520	3.480	99.350	0.650	110.93	416	0.928	bicubic
119	vit_base_patch32_384	96.490	3.510	99.410	0.590	88.30	384	1.000	bicubic
120	convnext_base	96.470	3.530	99.230	0.770	88.59	224	0.875	bicubic
121	resmlp_big_24_distilled_224	96.450	3.550	99.310	0.690	129.14	224	0.875	bicubic
122	vit_base_patch16_224_miil	96.450	3.550	99.300	0.700	86.54	224	0.875	bilinear
123	swsl_resnext101_32x4d	96.430	3.570	99.470	0.530	44.18	224	0.875	bilinear
124	regnetv_064	96.410	3.590	99.360	0.640	30.58	288	1.000	bicubic
125	xcit_large_24_p8_224	96.410	3.590	98.980	1.020	188.93	224	1.000	bicubic
126	xcit_small_24_p8_224	96.400	3.600	99.150	0.850	47.63	224	1.000	bicubic
127	crossvit_15_dagger_408	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
128	tf_efficientnet_b3_ns	96.390	3.610	99.350	0.650	12.23	300	0.904	bicubic
129	cait_s24_224	96.380	3.620	99.150	0.850	46.92	224	1.000	bicubic
130	resnet152d	96.360	3.640	99.390	0.610	60.21	320	1.000	bicubic
131	regnety_064	96.360	3.640	99.230	0.770	30.58	288	1.000	bicubic
132	regnety_160	96.350	3.650	99.330	0.670	83.59	288	1.000	bicubic
133	tf_efficientnet_b5	96.350	3.650	99.310	0.690	30.39	456	0.934	bicubic
134	xception65	96.350	3.650	99.240	0.760	39.92	299	0.940	bicubic
135	tf_efficientnetv2_s	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
136	volo_d1_224	96.330	3.670	99.310	0.690	26.63	224	0.960	bicubic
137	ig_resnext101_32x8d	96.310	3.690	99.430	0.570	88.79	224	0.875	bilinear
138	resnet101d	96.300	3.700	99.230	0.770	44.57	320	1.000	bicubic
139	twins_svt_large	96.270	3.730	99.170	0.830	99.27	224	0.900	bicubic
140	swin_s3_base_224	96.250	3.750	99.140	0.860	71.13	224	0.900	bicubic
141	jx_nest_base	96.240	3.760	99.210	0.790	67.72	224	0.875	bicubic
142	swin_s3_small_224	96.230	3.770	99.090	0.910	49.74	224	0.900	bicubic
143	xcit_small_24_p16_224_dist	96.220	3.780	99.210	0.790	47.67	224	1.000	bicubic
144	xception65p	96.200	3.800	99.180	0.820	39.82	299	0.940	bicubic
145	regnetv_040	96.190	3.810	99.330	0.670	20.64	288	1.000	bicubic
146	convnext_small	96.170	3.830	99.100	0.900	50.22	224	0.875	bicubic
147	tf_efficientnet_b4_ap	96.170	3.830	99.280	0.720	19.34	380	0.922	bicubic
148	twins_svt_base	96.160	3.840	99.060	0.940	56.07	224	0.900	bicubic
149	deit_base_patch16_384	96.150	3.850	99.140	0.860	86.86	384	1.000	bicubic
150	twins_pcpvt_large	96.150	3.850	99.180	0.820	60.99	224	0.900	bicubic
151	dm_nfnet_f0	96.150	3.850	99.250	0.750	71.49	256	0.900	bicubic
152	efficientnet_b4	96.150	3.850	99.190	0.810	19.34	384	1.000	bicubic
153	regnetz_c16_evos	96.130	3.870	99.360	0.640	13.49	320	0.950	bicubic
154	nfnet_l0	96.120	3.880	99.240	0.760	35.07	288	1.000	bicubic
155	resnetv2_50x1_bit_distilled	96.120	3.880	99.280	0.720	25.55	224	0.875	bicubic
156	xcit_medium_24_p8_224	96.110	3.890	98.890	1.110	84.32	224	1.000	bicubic
157	xcit_small_12_p8_224	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
158	resnetv2_101x1_bitm	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
159	resnetv2_152x2_bit_teacher	96.100	3.900	99.270	0.730	236.34	224	0.875	bicubic
160	deit_base_distilled_patch16_224	96.090	3.910	99.190	0.810	87.34	224	0.900	bicubic
161	resnext101_64x4d	96.080	3.920	99.240	0.760	83.46	288	1.000	bicubic
162	xcit_tiny_12_p8_384_dist	96.080	3.920	99.140	0.860	6.71	384	1.000	bicubic
163	xcit_small_12_p16_224_dist	96.030	3.970	99.140	0.860	26.25	224	1.000	bicubic
164	regnety_040	96.020	3.980	99.190	0.810	20.65	288	1.000	bicubic
165	regnety_032	95.970	4.030	99.190	0.810	19.44	288	1.000	bicubic
166	tresnet_xl_448	95.970	4.030	99.130	0.870	78.44	448	0.875	bilinear
167	jx_nest_small	95.970	4.030	99.030	0.970	38.35	224	0.875	bicubic
168	eca_nfnet_l0	95.950	4.050	99.210	0.790	24.14	288	1.000	bicubic
169	xcit_tiny_24_p16_384_dist	95.930	4.070	99.220	0.780	12.12	384	1.000	bicubic
170	swin_small_patch4_window7_224	95.910	4.090	99.020	0.980	49.61	224	0.900	bicubic
171	resnet152	95.900	4.100	99.080	0.920	60.19	224	0.950	bicubic
172	tf_efficientnet_b4	95.900	4.100	99.170	0.830	19.34	380	0.922	bicubic
173	resnet51q	95.870	4.130	99.120	0.880	35.70	288	1.000	bilinear
174	swsl_resnext50_32x4d	95.870	4.130	99.250	0.750	25.03	224	0.875	bilinear
175	tresnet_l_448	95.860	4.140	99.120	0.880	55.99	448	0.875	bilinear
176	resnest101e	95.860	4.140	99.210	0.790	48.28	256	0.875	bilinear
177	cait_xxs36_384	95.840	4.160	99.090	0.910	17.37	384	1.000	bicubic
178	vit_large_patch32_384	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
179	xcit_tiny_24_p8_224_dist	95.810	4.190	99.210	0.790	12.11	224	1.000	bicubic
180	regnetz_c16	95.800	4.200	99.100	0.900	13.46	320	0.940	bicubic
181	ssl_resnext101_32x16d	95.790	4.210	99.180	0.820	194.03	224	0.875	bilinear
182	twins_pcpvt_base	95.790	4.210	99.130	0.870	43.83	224	0.900	bicubic
183	resnet61q	95.780	4.220	98.990	1.010	36.85	288	1.000	bicubic
184	tf_efficientnet_b2_ns	95.770	4.230	99.120	0.880	9.11	260	0.890	bicubic
185	gc_efficientnetv2_rw_t	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
186	efficientnet_b3	95.710	4.290	99.040	0.960	12.23	320	1.000	bicubic
187	tresnet_m	95.710	4.290	99.030	0.970	31.39	224	0.875	bilinear
188	pnasnet5large	95.710	4.290	98.920	1.080	86.06	331	0.911	bicubic
189	crossvit_15_dagger_240	95.690	4.310	98.830	1.170	28.21	240	0.875	bicubic
190	nasnetalarge	95.680	4.320	98.930	1.070	88.75	331	0.911	bicubic
191	xcit_tiny_24_p8_224	95.670	4.330	99.050	0.950	12.11	224	1.000	bicubic
192	poolformer_m48	95.640	4.360	98.940	1.060	73.47	224	0.950	bicubic
193	vit_small_r26_s32_224	95.640	4.360	99.190	0.810	36.43	224	0.900	bicubic
194	pit_b_224	95.640	4.360	98.670	1.330	73.76	224	0.900	bicubic
195	resnetv2_101	95.630	4.370	98.990	1.010	44.54	224	0.950	bicubic
196	efficientnetv2_rw_t	95.610	4.390	99.070	0.930	13.65	288	1.000	bicubic
197	resnetv2_50d_evos	95.610	4.390	99.030	0.970	25.59	288	0.950	bicubic
198	crossvit_18_dagger_240	95.570	4.430	99.060	0.940	44.27	240	0.875	bicubic
199	convit_base	95.550	4.450	98.870	1.130	86.54	224	0.875	bicubic
200	convnext_tiny	95.550	4.450	99.000	1.000	28.59	224	0.875	bicubic
201	coat_lite_small	95.540	4.460	98.860	1.140	19.84	224	0.900	bicubic
202	xcit_small_24_p16_224	95.530	4.470	98.760	1.240	47.67	224	1.000	bicubic
203	xcit_medium_24_p16_224	95.530	4.470	98.740	1.260	84.40	224	1.000	bicubic
204	levit_384	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
205	ecaresnet101d	95.530	4.470	99.130	0.870	44.57	224	0.875	bicubic
206	crossvit_base_240	95.520	4.480	98.820	1.180	105.03	240	0.875	bicubic
207	xception41p	95.520	4.480	98.910	1.090	26.91	299	0.940	bicubic
208	convnext_tiny_hnf	95.510	4.490	99.020	0.980	28.59	224	0.950	bicubic
209	ecaresnet50t	95.510	4.490	99.120	0.880	25.57	320	0.950	bicubic
210	fbnetv3_g	95.510	4.490	98.990	1.010	16.62	288	0.950	bilinear
211	ssl_resnext101_32x8d	95.490	4.510	99.120	0.880	88.79	224	0.875	bilinear
212	visformer_small	95.490	4.510	98.900	1.100	40.22	224	0.900	bicubic
213	ssl_resnext101_32x4d	95.440	4.560	99.130	0.870	44.18	224	0.875	bilinear
214	tresnet_xl	95.440	4.560	99.050	0.950	78.44	224	0.875	bilinear
215	crossvit_18_240	95.440	4.560	98.790	1.210	43.27	240	0.875	bicubic
216	deit_base_patch16_224	95.440	4.560	98.840	1.160	86.57	224	0.900	bicubic
217	resnetrs101	95.430	4.570	99.030	0.970	63.62	288	0.940	bicubic
218	resnetv2_50d_gn	95.430	4.570	99.040	0.960	25.57	288	0.950	bicubic
219	xcit_large_24_p16_224	95.420	4.580	98.620	1.380	189.10	224	1.000	bicubic
220	xcit_small_12_p16_224	95.420	4.580	98.840	1.160	26.25	224	1.000	bicubic
221	halo2botnet50ts_256	95.410	4.590	99.010	0.990	22.64	256	0.950	bicubic
222	swsl_resnet50	95.400	4.600	99.300	0.700	25.56	224	0.875	bilinear
223	poolformer_m36	95.380	4.620	98.850	1.150	56.17	224	0.950	bicubic
224	vit_small_patch16_224	95.370	4.630	99.150	0.850	22.05	224	0.900	bicubic
225	resnet101	95.360	4.640	98.860	1.140	44.55	224	0.950	bicubic
226	tf_efficientnet_b3_ap	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
227	mixer_b16_224_miil	95.310	4.690	98.870	1.130	59.88	224	0.875	bilinear
228	tresnet_l	95.290	4.710	99.010	0.990	55.99	224	0.875	bilinear
229	cait_xxs24_384	95.270	4.730	98.960	1.040	12.03	384	1.000	bicubic
230	pit_s_distilled_224	95.240	4.760	99.050	0.950	24.04	224	0.900	bicubic
231	jx_nest_tiny	95.240	4.760	98.980	1.020	17.06	224	0.875	bicubic
232	twins_pcpvt_small	95.210	4.790	98.880	1.120	24.11	224	0.900	bicubic
233	convit_small	95.200	4.800	98.900	1.100	27.78	224	0.875	bicubic
234	twins_svt_small	95.200	4.800	98.880	1.120	24.06	224	0.900	bicubic
235	tf_efficientnet_b1_ns	95.170	4.830	99.120	0.880	7.79	240	0.882	bicubic
236	swin_s3_tiny_224	95.160	4.840	98.940	1.060	28.33	224	0.900	bicubic
237	tf_efficientnetv2_b3	95.160	4.840	98.820	1.180	14.36	300	0.904	bicubic
238	halonet50ts	95.150	4.850	98.770	1.230	22.73	256	0.940	bicubic
239	lamhalobotnet50ts_256	95.150	4.850	98.880	1.120	22.57	256	0.950	bicubic
240	swin_tiny_patch4_window7_224	95.140	4.860	98.850	1.150	28.29	224	0.900	bicubic
241	crossvit_15_240	95.140	4.860	98.930	1.070	27.53	240	0.875	bicubic
242	xcit_tiny_12_p16_384_dist	95.130	4.870	99.020	0.980	6.72	384	1.000	bicubic
243	efficientnet_el	95.120	4.880	98.980	1.020	10.59	300	0.904	bicubic
244	gernet_l	95.100	4.900	98.900	1.100	31.08	256	0.875	bilinear
245	poolformer_s36	95.090	4.910	98.910	1.090	30.86	224	0.900	bicubic
246	xcit_tiny_12_p8_224_dist	95.090	4.910	98.910	1.090	6.71	224	1.000	bicubic
247	ecaresnet101d_pruned	95.080	4.920	98.980	1.020	24.88	224	0.875	bicubic
248	legacy_senet154	95.070	4.930	98.830	1.170	115.09	224	0.875	bilinear
249	wide_resnet50_2	95.070	4.930	98.970	1.030	68.88	224	0.875	bicubic
250	vit_small_patch32_384	95.060	4.940	98.990	1.010	22.92	384	1.000	bicubic
251	convmixer_1536_20	95.060	4.940	99.030	0.970	51.63	224	0.960	bicubic
252	regnetz_b16	95.060	4.940	99.050	0.950	9.72	288	0.940	bicubic
253	gluon_resnet152_v1s	95.040	4.960	98.930	1.070	60.32	224	0.875	bicubic
254	tnt_s_patch16_224	95.040	4.960	98.840	1.160	23.76	224	0.900	bicubic
255	seresnext50_32x4d	95.030	4.970	98.880	1.120	27.56	224	0.875	bicubic
256	levit_256	95.020	4.980	98.890	1.110	18.89	224	0.900	bicubic
257	tf_efficientnet_b3	95.020	4.980	98.910	1.090	12.23	300	0.904	bicubic
258	resnetv2_50x1_bitm	95.010	4.990	99.060	0.940	25.55	448	1.000	bilinear
259	vit_base_patch32_224	95.000	5.000	99.030	0.970	88.22	224	0.900	bicubic
260	tresnet_m_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
261	coat_mini	94.970	5.030	98.780	1.220	10.34	224	0.900	bicubic
262	resnest50d_4s2x40d	94.960	5.040	99.070	0.930	30.42	224	0.875	bicubic
263	rexnet_200	94.950	5.050	99.010	0.990	16.37	224	0.875	bicubic
264	gluon_senet154	94.920	5.080	98.760	1.240	115.09	224	0.875	bicubic
265	gluon_seresnext101_32x4d	94.920	5.080	98.810	1.190	48.96	224	0.875	bicubic
266	gluon_seresnext101_64x4d	94.920	5.080	98.830	1.170	88.23	224	0.875	bicubic
267	tf_efficientnet_lite4	94.890	5.110	99.020	0.980	13.01	380	0.920	bilinear
268	resmlp_36_distilled_224	94.880	5.120	98.840	1.160	44.69	224	0.875	bicubic
269	ssl_resnext50_32x4d	94.870	5.130	98.890	1.110	25.03	224	0.875	bilinear
270	gcresnet50t	94.850	5.150	98.790	1.210	25.90	256	0.900	bicubic
271	resnest50d	94.850	5.150	98.880	1.120	27.48	224	0.875	bilinear
272	seresnet33ts	94.850	5.150	98.790	1.210	19.78	256	0.900	bicubic
273	crossvit_small_240	94.830	5.170	99.020	0.980	26.86	240	0.875	bicubic
274	lambda_resnet50ts	94.790	5.210	98.460	1.540	21.54	256	0.950	bicubic
275	ecaresnetlight	94.770	5.230	98.800	1.200	30.16	224	0.875	bicubic
276	sehalonet33ts	94.770	5.230	98.570	1.430	13.69	256	0.940	bicubic
277	resnest50d_1s4x24d	94.760	5.240	98.980	1.020	25.68	224	0.875	bicubic
278	gluon_resnet152_v1d	94.740	5.260	98.740	1.260	60.21	224	0.875	bicubic
279	gluon_resnet101_v1s	94.720	5.280	98.820	1.180	44.67	224	0.875	bicubic
280	deit_small_distilled_patch16_224	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
281	haloregnetz_b	94.700	5.300	98.660	1.340	11.68	224	0.940	bicubic
282	xcit_tiny_12_p8_224	94.690	5.310	98.830	1.170	6.71	224	1.000	bicubic
283	resmlp_big_24_224	94.670	5.330	98.480	1.520	129.14	224	0.875	bicubic
284	cspdarknet53	94.660	5.340	98.800	1.200	27.64	256	0.887	bilinear
285	gluon_resnext101_64x4d	94.660	5.340	98.650	1.350	83.46	224	0.875	bicubic
286	efficientnet_b3_pruned	94.630	5.370	98.760	1.240	9.86	300	0.904	bicubic
287	ecaresnet50d	94.630	5.370	98.890	1.110	25.58	224	0.875	bicubic
288	gernet_m	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
289	efficientnet_b2	94.610	5.390	98.710	1.290	9.11	288	1.000	bicubic
290	pit_s_224	94.590	5.410	98.700	1.300	23.46	224	0.900	bicubic
291	repvgg_b3	94.570	5.430	98.780	1.220	123.09	224	0.875	bilinear
292	sebotnet33ts_256	94.570	5.430	98.500	1.500	13.70	256	0.940	bicubic
293	poolformer_s24	94.550	5.450	98.880	1.120	21.39	224	0.900	bicubic
294	resnext50_32x4d	94.550	5.450	98.610	1.390	25.03	224	0.950	bicubic
295	seresnet50	94.550	5.450	98.750	1.250	28.09	224	0.875	bicubic
296	nf_resnet50	94.550	5.450	98.790	1.210	25.56	288	0.940	bicubic
297	inception_resnet_v2	94.550	5.450	98.780	1.220	55.84	299	0.897	bicubic
298	gluon_resnext101_32x4d	94.540	5.460	98.630	1.370	44.18	224	0.875	bicubic
299	regnety_320	94.540	5.460	98.850	1.150	145.05	224	0.875	bicubic
300	xcit_tiny_24_p16_224_dist	94.540	5.460	98.780	1.220	12.12	224	1.000	bicubic
301	repvgg_b3g4	94.520	5.480	98.970	1.030	83.83	224	0.875	bilinear
302	convmixer_768_32	94.500	5.500	98.850	1.150	21.11	224	0.960	bicubic
303	gcresnext50ts	94.490	5.510	98.670	1.330	15.67	256	0.900	bicubic
304	tf_efficientnet_b2_ap	94.490	5.510	98.620	1.380	9.11	260	0.890	bicubic
305	regnety_120	94.480	5.520	98.810	1.190	51.82	224	0.875	bicubic
306	rexnet_150	94.480	5.520	98.790	1.210	9.73	224	0.875	bicubic
307	cspresnext50	94.470	5.530	98.680	1.320	20.57	224	0.875	bilinear
308	gcresnet33ts	94.470	5.530	98.770	1.230	19.88	256	0.900	bicubic
309	regnetx_320	94.460	5.540	98.740	1.260	107.81	224	0.875	bicubic
310	resmlp_24_distilled_224	94.460	5.540	98.770	1.230	30.02	224	0.875	bicubic
311	ssl_resnet50	94.450	5.550	98.920	1.080	25.56	224	0.875	bilinear
312	resnetv2_50	94.430	5.570	98.740	1.260	25.55	224	0.950	bicubic
313	tf_efficientnetv2_b2	94.420	5.580	98.570	1.430	10.10	260	0.890	bicubic
314	tf_efficientnet_el	94.400	5.600	98.710	1.290	10.59	300	0.904	bicubic
315	efficientnet_el_pruned	94.400	5.600	98.740	1.260	10.59	300	0.904	bicubic
316	deit_small_patch16_224	94.390	5.610	98.690	1.310	22.05	224	0.900	bicubic
317	inception_v4	94.380	5.620	98.580	1.420	42.68	299	0.875	bicubic
318	legacy_seresnext101_32x4d	94.360	5.640	98.650	1.350	48.96	224	0.875	bilinear
319	tf_efficientnet_b2	94.360	5.640	98.610	1.390	9.11	260	0.890	bicubic
320	resnet50_gn	94.350	5.650	98.710	1.290	25.56	224	0.940	bicubic
321	resnet50	94.340	5.660	98.440	1.560	25.56	224	0.950	bicubic
322	gluon_seresnext50_32x4d	94.330	5.670	98.610	1.390	27.56	224	0.875	bicubic
323	ecaresnet26t	94.310	5.690	98.720	1.280	16.01	320	0.950	bicubic
324	dpn107	94.300	5.700	98.470	1.530	86.92	224	0.875	bicubic
325	resnetrs50	94.300	5.700	98.640	1.360	35.69	224	0.910	bicubic
326	xception71	94.280	5.720	98.640	1.360	42.34	299	0.903	bicubic
327	cait_xxs36_224	94.260	5.740	98.720	1.280	17.30	224	1.000	bicubic
328	gluon_xception65	94.260	5.740	98.570	1.430	39.92	299	0.903	bicubic
329	resnet50d	94.260	5.740	98.720	1.280	25.58	224	0.875	bicubic
330	skresnext50_32x4d	94.260	5.740	98.460	1.540	27.48	224	0.875	bicubic
331	regnetx_120	94.240	5.760	98.650	1.350	46.11	224	0.875	bicubic
332	gluon_resnet101_v1d	94.230	5.770	98.560	1.440	44.57	224	0.875	bicubic
333	dpn92	94.230	5.770	98.730	1.270	37.67	224	0.875	bicubic
334	ecaresnet50d_pruned	94.220	5.780	98.730	1.270	19.94	224	0.875	bicubic
335	resmlp_36_224	94.200	5.800	98.660	1.340	44.69	224	0.875	bicubic
336	tf_efficientnet_lite3	94.200	5.800	98.640	1.360	8.20	300	0.904	bilinear
337	eca_resnet33ts	94.190	5.810	98.770	1.230	19.68	256	0.900	bicubic
338	mixnet_xl	94.190	5.810	98.340	1.660	11.90	224	0.875	bicubic
339	resnext50d_32x4d	94.180	5.820	98.570	1.430	25.05	224	0.875	bicubic
340	levit_192	94.170	5.830	98.550	1.450	10.95	224	0.900	bicubic
341	ens_adv_inception_resnet_v2	94.160	5.840	98.600	1.400	55.84	299	0.897	bicubic
342	gluon_resnet152_v1c	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
343	gmlp_s16_224	94.150	5.850	98.500	1.500	19.42	224	0.875	bicubic
344	efficientnet_b2_pruned	94.140	5.860	98.530	1.470	8.31	260	0.890	bicubic
345	vit_base_patch16_224_sam	94.140	5.860	98.670	1.330	86.57	224	0.900	bicubic
346	regnetx_160	94.130	5.870	98.740	1.260	54.28	224	0.875	bicubic
347	nf_regnet_b1	94.120	5.880	98.620	1.380	10.22	288	0.900	bicubic
348	dpn98	94.110	5.890	98.580	1.420	61.57	224	0.875	bicubic
349	ese_vovnet39b	94.090	5.910	98.660	1.340	24.57	224	0.875	bicubic
350	xcit_tiny_24_p16_224	94.070	5.930	98.510	1.490	12.12	224	1.000	bicubic
351	gluon_resnet152_v1b	94.070	5.930	98.460	1.540	60.19	224	0.875	bicubic
352	coat_lite_mini	94.050	5.950	98.560	1.440	11.01	224	0.900	bicubic
353	eca_halonext26ts	94.050	5.950	98.490	1.510	10.76	256	0.940	bicubic
354	halonet26t	94.020	5.980	98.500	1.500	12.48	256	0.950	bicubic
355	resmlp_24_224	94.020	5.980	98.330	1.670	30.02	224	0.875	bicubic
356	hrnet_w64	94.010	5.990	98.610	1.390	128.06	224	0.875	bilinear
357	dpn131	93.990	6.010	98.720	1.280	79.25	224	0.875	bicubic
358	fbnetv3_b	93.970	6.030	98.630	1.370	8.60	256	0.950	bilinear
359	dla102x2	93.960	6.040	98.490	1.510	41.28	224	0.875	bilinear
360	resnetblur50	93.940	6.060	98.580	1.420	25.56	224	0.875	bicubic
361	tf_efficientnetv2_b1	93.940	6.060	98.620	1.380	8.14	240	0.882	bicubic
362	fbnetv3_d	93.930	6.070	98.740	1.260	10.31	256	0.950	bilinear
363	hrnet_w48	93.920	6.080	98.610	1.390	77.47	224	0.875	bilinear
364	tf_efficientnet_cc_b1_8e	93.910	6.090	98.260	1.740	39.72	240	0.882	bicubic
365	rexnet_130	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
366	regnetx_064	93.890	6.110	98.630	1.370	26.21	224	0.875	bicubic
367	regnetx_080	93.870	6.130	98.520	1.480	39.57	224	0.875	bicubic
368	repvgg_b2g4	93.840	6.160	98.590	1.410	61.76	224	0.875	bilinear
369	efficientnet_em	93.840	6.160	98.810	1.190	6.90	240	0.882	bicubic
370	lambda_resnet26t	93.830	6.170	98.650	1.350	10.96	256	0.940	bicubic
371	pit_xs_distilled_224	93.820	6.180	98.670	1.330	11.00	224	0.900	bicubic
372	resnext101_32x8d	93.820	6.180	98.580	1.420	88.79	224	0.875	bilinear
373	gluon_resnext50_32x4d	93.810	6.190	98.410	1.590	25.03	224	0.875	bicubic
374	eca_botnext26ts_256	93.780	6.220	98.500	1.500	10.59	256	0.950	bicubic
375	gluon_resnet50_v1d	93.770	6.230	98.390	1.610	25.58	224	0.875	bicubic
376	gluon_resnet101_v1b	93.750	6.250	98.380	1.620	44.55	224	0.875	bicubic
377	res2net101_26w_4s	93.750	6.250	98.310	1.690	45.21	224	0.875	bilinear
378	cspresnet50	93.740	6.260	98.640	1.360	21.62	256	0.887	bilinear
379	legacy_seresnext50_32x4d	93.730	6.270	98.580	1.420	27.56	224	0.875	bilinear
380	wide_resnet101_2	93.720	6.280	98.540	1.460	126.89	224	0.875	bilinear
381	lambda_resnet26rpt_256	93.710	6.290	98.510	1.490	10.99	256	0.940	bicubic
382	dpn68b	93.690	6.310	98.520	1.480	12.61	224	0.875	bicubic
383	tf_efficientnet_b1_ap	93.690	6.310	98.360	1.640	7.79	240	0.882	bicubic
384	gluon_resnet101_v1c	93.670	6.330	98.420	1.580	44.57	224	0.875	bicubic
385	vit_tiny_patch16_384	93.660	6.340	98.600	1.400	5.79	384	1.000	bicubic
386	tf_efficientnet_b0_ns	93.640	6.360	98.640	1.360	5.29	224	0.875	bicubic
387	gluon_resnet50_v1s	93.620	6.380	98.460	1.540	25.68	224	0.875	bicubic
388	cait_xxs24_224	93.600	6.400	98.450	1.550	11.96	224	1.000	bicubic
389	resnet33ts	93.600	6.400	98.540	1.460	19.68	256	0.900	bicubic
390	coat_tiny	93.590	6.410	98.420	1.580	5.50	224	0.900	bicubic
391	hrnet_w44	93.550	6.450	98.700	1.300	67.06	224	0.875	bilinear
392	regnetx_040	93.550	6.450	98.550	1.450	22.12	224	0.875	bicubic
393	hrnet_w32	93.530	6.470	98.460	1.540	41.23	224	0.875	bilinear
394	botnet26t_256	93.510	6.490	98.300	1.700	12.49	256	0.950	bicubic
395	dla102x	93.510	6.490	98.510	1.490	26.31	224	0.875	bilinear
396	xcit_nano_12_p8_384_dist	93.500	6.500	98.540	1.460	3.05	384	1.000	bicubic
397	repvgg_b2	93.500	6.500	98.730	1.270	89.02	224	0.875	bilinear
398	hrnet_w40	93.490	6.510	98.580	1.420	57.56	224	0.875	bilinear
399	tf_efficientnet_b1	93.490	6.510	98.360	1.640	7.79	240	0.882	bicubic
400	resnet32ts	93.470	6.530	98.490	1.510	17.96	256	0.900	bicubic
401	xception	93.470	6.530	98.530	1.470	22.86	299	0.897	bicubic
402	gluon_inception_v3	93.450	6.550	98.570	1.430	23.83	299	0.875	bicubic
403	mixnet_l	93.450	6.550	98.220	1.780	7.33	224	0.875	bicubic
404	xception41	93.430	6.570	98.430	1.570	26.97	299	0.903	bicubic
405	res2net50_26w_8s	93.410	6.590	98.180	1.820	48.40	224	0.875	bilinear
406	res2net50_26w_6s	93.410	6.590	98.280	1.720	37.05	224	0.875	bilinear
407	xcit_tiny_12_p16_224_dist	93.400	6.600	98.480	1.520	6.72	224	1.000	bicubic
408	legacy_seresnet152	93.400	6.600	98.350	1.650	66.82	224	0.875	bilinear
409	dla169	93.340	6.660	98.590	1.410	53.39	224	0.875	bilinear
410	bat_resnext26ts	93.330	6.670	98.350	1.650	10.73	256	0.900	bicubic
411	repvgg_b1	93.330	6.670	98.510	1.490	57.42	224	0.875	bilinear
412	tf_inception_v3	93.320	6.680	98.030	1.970	23.83	299	0.875	bicubic
413	tv_resnet152	93.320	6.680	98.390	1.610	60.19	224	0.875	bilinear
414	tf_mixnet_l	93.320	6.680	98.030	1.970	7.33	224	0.875	bicubic
415	resnest26d	93.320	6.680	98.630	1.370	17.07	224	0.875	bilinear
416	levit_128	93.320	6.680	98.380	1.620	9.21	224	0.900	bicubic
417	legacy_seresnet101	93.300	6.700	98.510	1.490	49.33	224	0.875	bilinear
418	selecsls60b	93.290	6.710	98.280	1.720	32.77	224	0.875	bicubic
419	efficientnet_b1	93.250	6.750	98.290	1.710	7.79	256	1.000	bicubic
420	coat_lite_tiny	93.230	6.770	98.260	1.740	5.72	224	0.900	bicubic
421	hrnet_w30	93.190	6.810	98.410	1.590	37.71	224	0.875	bilinear
422	dla60_res2net	93.180	6.820	98.420	1.580	20.85	224	0.875	bilinear
423	dla60_res2next	93.180	6.820	98.410	1.590	17.03	224	0.875	bilinear
424	mobilevit_s	93.170	6.830	98.440	1.560	5.58	256	0.900	bicubic
425	efficientnet_es	93.140	6.860	98.420	1.580	5.44	224	0.875	bicubic
426	regnetx_032	93.120	6.880	98.390	1.610	15.30	224	0.875	bicubic
427	dla60x	93.110	6.890	98.510	1.490	17.35	224	0.875	bilinear
428	pit_xs_224	93.110	6.890	98.330	1.670	10.62	224	0.900	bicubic
429	tf_efficientnetv2_b0	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
430	dla102	93.060	6.940	98.540	1.460	33.27	224	0.875	bilinear
431	gluon_resnet50_v1c	93.030	6.970	98.390	1.610	25.58	224	0.875	bicubic
432	regnety_016	93.030	6.970	98.360	1.640	11.20	224	0.875	bicubic
433	rexnet_100	93.030	6.970	98.190	1.810	4.80	224	0.875	bicubic
434	selecsls60	93.020	6.980	98.310	1.690	30.67	224	0.875	bicubic
435	repvgg_b1g4	92.980	7.020	98.430	1.570	39.97	224	0.875	bilinear
436	legacy_seresnet50	92.960	7.040	98.180	1.820	28.09	224	0.875	bilinear
437	hardcorenas_f	92.950	7.050	98.160	1.840	8.20	224	0.875	bilinear
438	tf_efficientnet_em	92.930	7.070	98.200	1.800	6.90	240	0.882	bicubic
439	adv_inception_v3	92.890	7.110	98.140	1.860	23.83	299	0.875	bicubic
440	crossvit_9_dagger_240	92.890	7.110	98.250	1.750	8.78	240	0.875	bicubic
441	res2next50	92.860	7.140	98.190	1.810	24.67	224	0.875	bilinear
442	resmlp_12_distilled_224	92.830	7.170	98.140	1.860	15.35	224	0.875	bicubic
443	tf_efficientnet_cc_b0_8e	92.830	7.170	98.180	1.820	24.01	224	0.875	bicubic
444	gmixer_24_224	92.830	7.170	97.880	2.120	24.72	224	0.875	bicubic
445	seresnext26t_32x4d	92.820	7.180	98.370	1.630	16.81	224	0.875	bicubic
446	tv_resnet101	92.820	7.180	98.250	1.750	44.55	224	0.875	bilinear
447	efficientnet_b1_pruned	92.770	7.230	98.040	1.960	6.33	240	0.882	bicubic
448	gcresnext26ts	92.770	7.230	98.260	1.740	10.48	256	0.900	bicubic
449	densenet201	92.750	7.250	98.230	1.770	20.01	224	0.875	bicubic
450	resnet26t	92.750	7.250	98.230	1.770	16.01	256	0.940	bicubic
451	tv_resnext50_32x4d	92.750	7.250	98.270	1.730	25.03	224	0.875	bilinear
452	res2net50_14w_8s	92.740	7.260	98.180	1.820	25.06	224	0.875	bilinear
453	inception_v3	92.720	7.280	97.970	2.030	23.83	299	0.875	bicubic
454	seresnext26d_32x4d	92.700	7.300	98.150	1.850	16.81	224	0.875	bicubic
455	efficientnet_b0	92.690	7.310	98.070	1.930	5.29	224	0.875	bicubic
456	seresnext26ts	92.690	7.310	98.290	1.710	10.39	256	0.900	bicubic
457	resnet34d	92.680	7.320	98.310	1.690	21.82	224	0.875	bicubic
458	tf_efficientnet_lite2	92.650	7.350	98.230	1.770	6.09	260	0.890	bicubic
459	legacy_seresnext26_32x4d	92.640	7.360	98.130	1.870	16.79	224	0.875	bicubic
460	poolformer_s12	92.620	7.380	98.200	1.800	11.92	224	0.900	bicubic
461	tf_efficientnet_lite1	92.620	7.380	98.080	1.920	5.42	240	0.882	bicubic
462	eca_resnext26ts	92.610	7.390	98.260	1.740	10.30	256	0.900	bicubic
463	tf_efficientnet_cc_b0_4e	92.600	7.400	98.080	1.920	13.31	224	0.875	bicubic
464	hardcorenas_e	92.580	7.420	98.110	1.890	8.07	224	0.875	bilinear
465	res2net50_48w_2s	92.550	7.450	98.080	1.920	25.29	224	0.875	bilinear
466	gluon_resnet50_v1b	92.540	7.460	98.170	1.830	25.56	224	0.875	bicubic
467	densenet161	92.500	7.500	98.290	1.710	28.68	224	0.875	bicubic
468	xcit_tiny_12_p16_224	92.500	7.500	98.240	1.760	6.72	224	1.000	bicubic
469	res2net50_26w_4s	92.490	7.510	98.060	1.940	25.70	224	0.875	bilinear
470	tinynet_a	92.440	7.560	98.080	1.920	6.19	192	0.875	bicubic
471	mixnet_m	92.430	7.570	97.870	2.130	5.01	224	0.875	bicubic
472	convmixer_1024_20_ks9_p14	92.420	7.580	98.270	1.730	24.38	224	0.960	bicubic
473	hardcorenas_d	92.400	7.600	98.070	1.930	7.50	224	0.875	bilinear
474	mobilenetv2_120d	92.400	7.600	98.050	1.950	5.83	224	0.875	bicubic
475	skresnet34	92.390	7.610	98.150	1.850	22.28	224	0.875	bicubic
476	tf_mixnet_m	92.330	7.670	97.890	2.110	5.01	224	0.875	bicubic
477	hrnet_w18	92.320	7.680	98.250	1.750	21.30	224	0.875	bilinear
478	ese_vovnet19b_dw	92.280	7.720	98.090	1.910	6.54	224	0.875	bicubic
479	selecsls42b	92.280	7.720	98.130	1.870	32.46	224	0.875	bicubic
480	mobilenetv3_large_100_miil	92.270	7.730	97.640	2.360	5.48	224	0.875	bilinear
481	tf_efficientnet_b0	92.250	7.750	98.000	2.000	5.29	224	0.875	bicubic
482	dla60	92.230	7.770	98.110	1.890	22.04	224	0.875	bilinear
483	resmlp_12_224	92.210	7.790	98.160	1.840	15.35	224	0.875	bicubic
484	tf_efficientnet_b0_ap	92.200	7.800	98.020	1.980	5.29	224	0.875	bicubic
485	regnetx_016	92.160	7.840	98.210	1.790	9.19	224	0.875	bicubic
486	gernet_s	92.140	7.860	98.190	1.810	8.17	224	0.875	bilinear
487	xcit_nano_12_p8_224_dist	92.100	7.900	98.160	1.840	3.05	224	1.000	bicubic
488	resnet26d	92.070	7.930	97.970	2.030	16.01	224	0.875	bicubic
489	vit_tiny_r_s16_p8_384	92.040	7.960	98.290	1.710	6.36	384	1.000	bicubic
490	vit_small_patch32_224	92.040	7.960	98.230	1.770	22.88	224	0.900	bicubic
491	dpn68	92.030	7.970	98.050	1.950	12.61	224	0.875	bicubic
492	hardcorenas_c	92.020	7.980	97.840	2.160	5.52	224	0.875	bilinear
493	tf_efficientnet_es	91.980	8.020	97.860	2.140	5.44	224	0.875	bicubic
494	levit_128s	91.950	8.050	98.070	1.930	7.78	224	0.900	bicubic
495	repvgg_a2	91.940	8.060	98.150	1.850	28.21	224	0.875	bilinear
496	densenet169	91.930	8.070	98.100	1.900	14.15	224	0.875	bicubic
497	densenetblur121d	91.910	8.090	98.070	1.930	8.00	224	0.875	bicubic
498	tv_resnet50	91.890	8.110	98.040	1.960	25.56	224	0.875	bilinear
499	resnext26ts	91.870	8.130	97.920	2.080	10.30	256	0.900	bicubic
500	mixer_b16_224	91.870	8.130	97.250	2.750	59.88	224	0.875	bicubic
501	mobilenetv2_140	91.840	8.160	97.850	2.150	6.11	224	0.875	bicubic
502	mixnet_s	91.830	8.170	97.690	2.310	4.13	224	0.875	bicubic
503	xcit_nano_12_p16_384_dist	91.830	8.170	98.020	1.980	3.05	384	1.000	bicubic
504	hardcorenas_b	91.780	8.220	97.780	2.220	5.18	224	0.875	bilinear
505	vit_tiny_patch16_224	91.770	8.230	98.040	1.960	5.72	224	0.900	bicubic
506	regnety_008	91.720	8.280	98.180	1.820	6.26	224	0.875	bicubic
507	resnest14d	91.720	8.280	97.870	2.130	10.61	224	0.875	bilinear
508	densenet121	91.580	8.420	98.030	1.970	7.98	224	0.875	bicubic
509	tf_mixnet_s	91.510	8.490	97.620	2.380	4.13	224	0.875	bicubic
510	repvgg_b0	91.430	8.570	97.990	2.010	15.82	224	0.875	bilinear
511	regnety_006	91.380	8.620	97.710	2.290	6.06	224	0.875	bicubic
512	hardcorenas_a	91.350	8.650	97.860	2.140	5.26	224	0.875	bilinear
513	mobilenetv3_large_100	91.330	8.670	97.710	2.290	5.48	224	0.875	bicubic
514	semnasnet_100	91.270	8.730	97.560	2.440	3.89	224	0.875	bicubic
515	tf_mobilenetv3_large_100	91.240	8.760	97.660	2.340	5.48	224	0.875	bilinear
516	mobilenetv3_rw	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
517	hrnet_w18_small_v2	91.190	8.810	97.900	2.100	15.60	224	0.875	bilinear
518	efficientnet_es_pruned	91.180	8.820	97.750	2.250	5.44	224	0.875	bicubic
519	resnet34	91.130	8.870	97.620	2.380	21.80	224	0.875	bilinear
520	efficientnet_lite0	91.120	8.880	97.620	2.380	4.65	224	0.875	bicubic
521	resnet26	91.120	8.880	97.750	2.250	16.00	224	0.875	bicubic
522	regnetx_008	91.050	8.950	97.710	2.290	7.26	224	0.875	bicubic
523	tf_efficientnet_lite0	91.050	8.950	97.590	2.410	4.65	224	0.875	bicubic
524	xcit_nano_12_p8_224	91.020	8.980	97.790	2.210	3.05	224	1.000	bicubic
525	gluon_resnet34_v1b	90.960	9.040	97.640	2.360	21.80	224	0.875	bicubic
526	mobilenetv2_110d	90.960	9.040	97.560	2.440	4.52	224	0.875	bicubic
527	tinynet_b	90.930	9.070	97.670	2.330	3.73	188	0.875	bicubic
528	legacy_seresnet34	90.900	9.100	97.580	2.420	21.96	224	0.875	bilinear
529	pit_ti_distilled_224	90.900	9.100	97.720	2.280	5.10	224	0.900	bicubic
530	tv_densenet121	90.890	9.110	97.710	2.290	7.98	224	0.875	bicubic
531	mobilevit_xs	90.840	9.160	97.920	2.080	2.32	256	0.900	bicubic
532	dla34	90.770	9.230	97.660	2.340	15.74	224	0.875	bilinear
533	deit_tiny_distilled_patch16_224	90.710	9.290	97.570	2.430	5.91	224	0.900	bicubic
534	fbnetc_100	90.710	9.290	97.210	2.790	5.57	224	0.875	bilinear
535	swsl_resnet18	90.690	9.310	97.700	2.300	11.69	224	0.875	bilinear
536	crossvit_9_240	90.650	9.350	97.740	2.260	8.55	240	0.875	bicubic
537	convit_tiny	90.650	9.350	97.740	2.260	5.71	224	0.875	bicubic
538	mnasnet_100	90.510	9.490	97.470	2.530	4.38	224	0.875	bicubic
539	regnety_004	90.490	9.510	97.540	2.460	4.34	224	0.875	bicubic
540	regnetx_006	90.350	9.650	97.440	2.560	6.20	224	0.875	bicubic
541	spnasnet_100	90.350	9.650	97.190	2.810	4.42	224	0.875	bilinear
542	crossvit_tiny_240	90.240	9.760	97.590	2.410	7.01	240	0.875	bicubic
543	ssl_resnet18	90.220	9.780	97.550	2.450	11.69	224	0.875	bilinear
544	vgg16_bn	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
545	vgg19_bn	90.080	9.920	97.580	2.420	143.68	224	0.875	bilinear
546	semnasnet_075	90.070	9.930	97.430	2.570	2.91	224	0.875	bicubic
547	ghostnet_100	90.030	9.970	97.370	2.630	5.18	224	0.875	bilinear
548	pit_ti_224	89.950	10.050	97.450	2.550	4.85	224	0.900	bicubic
549	tv_resnet34	89.930	10.070	97.340	2.660	21.80	224	0.875	bilinear
550	vit_base_patch32_224_sam	89.750	10.250	97.000	3.000	88.22	224	0.900	bicubic
551	deit_tiny_patch16_224	89.680	10.320	97.450	2.550	5.72	224	0.900	bicubic
552	tf_mobilenetv3_large_075	89.680	10.320	97.210	2.790	3.99	224	0.875	bilinear
553	xcit_nano_12_p16_224_dist	89.680	10.320	97.090	2.910	3.05	224	1.000	bicubic
554	skresnet18	89.660	10.340	97.230	2.770	11.96	224	0.875	bicubic
555	mobilenetv2_100	89.610	10.390	97.150	2.850	3.50	224	0.875	bicubic
556	resnet18d	89.270	10.730	97.140	2.860	11.71	224	0.875	bicubic
557	vit_tiny_r_s16_p8_224	89.180	10.820	97.230	2.770	6.34	224	0.900	bicubic
558	hrnet_w18_small	89.050	10.950	97.110	2.890	13.19	224	0.875	bilinear
559	vgg19	89.040	10.960	96.870	3.130	143.67	224	0.875	bilinear
560	tf_mobilenetv3_large_minimal_100	88.960	11.040	96.860	3.140	3.92	224	0.875	bilinear
561	regnetx_004	88.900	11.100	97.120	2.880	5.16	224	0.875	bicubic
562	legacy_seresnet18	88.880	11.120	96.980	3.020	11.78	224	0.875	bicubic
563	lcnet_100	88.800	11.200	96.730	3.270	2.95	224	0.875	bicubic
564	vgg13_bn	88.760	11.240	96.970	3.030	133.05	224	0.875	bilinear
565	xcit_nano_12_p16_224	88.610	11.390	96.790	3.210	3.05	224	1.000	bicubic
566	vgg16	88.550	11.450	96.790	3.210	138.36	224	0.875	bilinear
567	gluon_resnet18_v1b	88.400	11.600	96.680	3.320	11.69	224	0.875	bicubic
568	tinynet_c	87.770	12.230	96.370	3.630	2.46	184	0.875	bicubic
569	vgg11_bn	87.500	12.500	96.820	3.180	132.87	224	0.875	bilinear
570	resnet18	87.390	12.610	96.290	3.710	11.69	224	0.875	bilinear
571	regnety_002	87.380	12.620	96.590	3.410	3.16	224	0.875	bicubic
572	mobilevit_xxs	87.190	12.810	96.100	3.900	1.27	256	0.900	bicubic
573	mixer_l16_224	87.150	12.850	93.510	6.490	208.20	224	0.875	bicubic
574	vgg13	87.050	12.950	96.320	3.680	133.05	224	0.875	bilinear
575	vgg11	86.550	13.450	96.280	3.720	132.86	224	0.875	bilinear
576	dla60x_c	86.290	13.710	96.160	3.840	1.32	224	0.875	bilinear
577	regnetx_002	86.190	13.810	95.980	4.020	2.68	224	0.875	bicubic
578	lcnet_075	85.990	14.010	95.680	4.320	2.36	224	0.875	bicubic
579	mobilenetv3_small_100	85.220	14.780	95.620	4.380	2.54	224	0.875	bicubic
580	tf_mobilenetv3_small_100	85.210	14.790	95.770	4.230	2.54	224	0.875	bilinear
581	tinynet_d	84.750	15.250	95.180	4.820	2.34	152	0.875	bicubic
582	mnasnet_small	84.440	15.560	95.180	4.820	2.03	224	0.875	bicubic
583	dla46x_c	84.250	15.750	95.270	4.730	1.07	224	0.875	bilinear
584	mobilenetv2_050	83.890	16.110	94.710	5.290	1.97	224	0.875	bicubic
585	dla46_c	83.650	16.350	94.920	5.080	1.30	224	0.875	bilinear
586	tf_mobilenetv3_small_075	83.510	16.490	94.800	5.200	2.04	224	0.875	bilinear
587	mobilenetv3_small_075	83.040	16.960	94.090	5.910	2.04	224	0.875	bicubic
588	lcnet_050	81.780	18.220	93.710	6.290	1.88	224	0.875	bicubic
589	tf_mobilenetv3_small_minimal_100	81.380	18.620	93.670	6.330	2.04	224	0.875	bilinear
590	tinynet_e	78.900	21.100	92.560	7.440	2.04	106	0.875	bicubic
591	mobilenetv3_small_050	76.990	23.010	91.300	8.700	1.59	224	0.875	bicubic