pytorch-image-models/results/benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv

1	model	infer_img_size	infer_batch_size	infer_samples_per_sec	infer_step_time	infer_gmacs	infer_macts	param_count
2	tinynet_e	106	1024.0	50604.03	20.225	0.03	0.69	2.04
3	mobilenetv3_small_050	224	1024.0	46069.42	22.217	0.03	0.92	1.59
4	lcnet_035	224	1024.0	41190.64	24.85	0.03	1.04	1.64
5	lcnet_050	224	1024.0	37663.82	27.178	0.05	1.26	1.88
6	mobilenetv3_small_075	224	1024.0	33398.64	30.649	0.05	1.3	2.04
7	efficientvit_m0	224	1024.0	32179.13	31.812	0.08	0.91	2.35
8	mobilenetv3_small_100	224	1024.0	29653.41	34.522	0.06	1.42	2.54
9	tf_mobilenetv3_small_minimal_100	224	1024.0	28352.57	36.106	0.06	1.41	2.04
10	tinynet_d	152	1024.0	27612.87	37.074	0.05	1.42	2.34
11	tf_mobilenetv3_small_075	224	1024.0	27505.95	37.218	0.05	1.3	2.04
12	tf_mobilenetv3_small_100	224	1024.0	24859.95	41.18	0.06	1.42	2.54
13	efficientvit_m1	224	1024.0	24836.87	41.219	0.17	1.33	2.98
14	lcnet_075	224	1024.0	24184.78	42.33	0.1	1.99	2.36
15	efficientvit_m2	224	1024.0	21907.95	46.731	0.2	1.47	4.19
16	mnasnet_small	224	1024.0	20764.95	49.303	0.07	2.16	2.03
17	levit_128s	224	1024.0	20669.44	49.531	0.31	1.88	7.78
18	lcnet_100	224	1024.0	19774.93	51.772	0.16	2.52	2.95
19	regnetx_002	224	1024.0	18945.55	54.04	0.2	2.16	2.68
20	resnet10t	176	1024.0	18840.28	54.342	0.7	1.51	5.44
21	efficientvit_m3	224	1024.0	18627.14	54.963	0.27	1.62	6.9
22	mobilenetv2_035	224	1024.0	18464.78	55.447	0.07	2.86	1.68
23	ghostnet_050	224	1024.0	17741.46	57.707	0.05	1.77	2.59
24	resnet18	160	1024.0	17592.15	58.198	0.93	1.27	11.69
25	regnety_002	224	1024.0	17571.32	58.267	0.2	2.17	3.16
26	levit_conv_128s	224	1024.0	17529.9	58.404	0.31	1.88	7.78
27	efficientvit_m4	224	1024.0	17446.52	58.683	0.3	1.7	8.8
28	repghostnet_050	224	1024.0	17090.91	59.904	0.05	2.02	2.31
29	efficientvit_b0	224	1024.0	16784.26	60.999	0.1	2.87	3.41
30	vit_tiny_r_s16_p8_224	224	1024.0	16479.31	62.128	0.43	1.85	6.34
31	vit_small_patch32_224	224	1024.0	15974.78	64.091	1.12	2.09	22.88
32	mnasnet_050	224	1024.0	15859.35	64.557	0.11	3.07	2.22
33	mobilenetv2_050	224	1024.0	14885.11	68.783	0.1	3.64	1.97
34	tinynet_c	184	1024.0	14726.2	69.525	0.11	2.87	2.46
35	pit_ti_224	224	1024.0	14628.51	69.989	0.5	2.75	4.85
36	pit_ti_distilled_224	224	1024.0	14546.3	70.385	0.51	2.77	5.1
37	semnasnet_050	224	1024.0	14351.42	71.341	0.11	3.44	2.08
38	levit_128	224	1024.0	14192.78	72.139	0.41	2.71	9.21
39	repghostnet_058	224	1024.0	13482.93	75.937	0.07	2.59	2.55
40	mixer_s32_224	224	1024.0	13082.53	78.262	1.0	2.28	19.1
41	cs3darknet_focus_s	256	1024.0	12838.86	79.748	0.69	2.7	3.27
42	regnetx_004	224	1024.0	12620.59	81.127	0.4	3.14	5.16
43	levit_conv_128	224	1024.0	12584.5	81.359	0.41	2.71	9.21
44	cs3darknet_s	256	1024.0	12531.56	81.703	0.72	2.97	3.28
45	lcnet_150	224	1024.0	12510.06	81.844	0.34	3.79	4.5
46	regnetx_004_tv	224	1024.0	12294.91	83.276	0.42	3.17	5.5
47	efficientvit_m5	224	1024.0	12067.16	84.847	0.53	2.41	12.47
48	mobilenetv3_large_075	224	1024.0	12041.45	85.029	0.16	4.0	3.99
49	levit_192	224	1024.0	11986.94	85.416	0.66	3.2	10.95
50	resnet10t	224	1024.0	11963.05	85.587	1.1	2.43	5.44
51	gernet_s	224	1024.0	11809.29	86.701	0.75	2.65	8.17
52	ese_vovnet19b_slim_dw	224	1024.0	11618.32	88.126	0.4	5.28	1.9
53	vit_tiny_patch16_224	224	1024.0	11270.42	90.846	1.08	4.12	5.72
54	deit_tiny_patch16_224	224	1024.0	11259.37	90.936	1.08	4.12	5.72
55	deit_tiny_distilled_patch16_224	224	1024.0	11217.54	91.275	1.09	4.15	5.91
56	repghostnet_080	224	1024.0	11079.58	92.412	0.1	3.22	3.28
57	mobilenetv3_rw	224	1024.0	10908.78	93.859	0.23	4.41	5.48
58	levit_conv_192	224	1024.0	10768.96	95.077	0.66	3.2	10.95
59	mobilenetv3_large_100	224	1024.0	10731.24	95.412	0.23	4.41	5.48
60	hardcorenas_a	224	1024.0	10620.31	96.408	0.23	4.38	5.26
61	tf_mobilenetv3_large_075	224	1024.0	10495.83	97.552	0.16	4.0	3.99
62	resnet14t	176	1024.0	10451.45	97.965	1.07	3.61	10.08
63	mnasnet_075	224	1024.0	10423.24	98.231	0.23	4.77	3.17
64	tf_mobilenetv3_large_minimal_100	224	1024.0	10369.07	98.745	0.22	4.4	3.92
65	resnet34	160	1024.0	10330.89	99.109	1.87	1.91	21.8
66	regnety_004	224	1024.0	9931.33	103.097	0.41	3.89	4.34
67	nf_regnet_b0	192	1024.0	9884.05	103.59	0.37	3.15	8.76
68	regnetx_006	224	1024.0	9823.29	104.232	0.61	3.98	6.2
69	hardcorenas_b	224	1024.0	9755.67	104.953	0.26	5.09	5.18
70	hardcorenas_c	224	1024.0	9572.88	106.958	0.28	5.01	5.52
71	ghostnet_100	224	1024.0	9528.83	107.453	0.15	3.55	5.18
72	tf_mobilenetv3_large_100	224	1024.0	9484.05	107.96	0.23	4.41	5.48
73	tinynet_b	188	1024.0	9358.37	109.409	0.21	4.44	3.73
74	mnasnet_100	224	1024.0	9357.9	109.416	0.33	5.46	4.38
75	tf_efficientnetv2_b0	192	1024.0	9316.15	109.906	0.54	3.51	7.14
76	repghostnet_100	224	1024.0	9303.14	110.06	0.15	3.98	4.07
77	mobilenetv2_075	224	1024.0	9280.78	110.325	0.22	5.86	2.64
78	resnet18	224	1024.0	9222.44	111.023	1.82	2.48	11.69
79	pit_xs_distilled_224	224	1024.0	9172.76	111.624	1.11	4.15	11.0
80	semnasnet_075	224	1024.0	9145.4	111.959	0.23	5.54	2.91
81	pit_xs_224	224	1024.0	9134.12	112.096	1.1	4.12	10.62
82	regnety_006	224	1024.0	9106.78	112.433	0.61	4.33	6.06
83	convnext_atto	224	1024.0	8993.29	113.851	0.55	3.81	3.7
84	hardcorenas_d	224	1024.0	8915.53	114.845	0.3	4.93	7.5
85	levit_256	224	1024.0	8893.96	115.124	1.13	4.23	18.89
86	seresnet18	224	1024.0	8718.39	117.442	1.82	2.49	11.78
87	convnext_atto_ols	224	1024.0	8549.03	119.769	0.58	4.11	3.7
88	mobilenetv2_100	224	1024.0	8479.08	120.757	0.31	6.68	3.5
89	legacy_seresnet18	224	1024.0	8452.0	121.144	1.82	2.49	11.78
90	spnasnet_100	224	1024.0	8438.72	121.334	0.35	6.03	4.42
91	repghostnet_111	224	1024.0	8382.7	122.146	0.18	4.38	4.54
92	semnasnet_100	224	1024.0	8351.88	122.597	0.32	6.23	3.89
93	dla46_c	224	1024.0	8209.51	124.721	0.58	4.5	1.3
94	repvgg_a0	224	1024.0	8124.8	126.024	1.52	3.59	9.11
95	levit_conv_256	224	1024.0	7997.32	128.032	1.13	4.23	18.89
96	edgenext_xx_small	256	1024.0	7955.06	128.711	0.26	3.33	1.33
97	regnetx_008	224	1024.0	7889.15	129.787	0.81	5.15	7.26
98	resnet18d	224	1024.0	7873.83	130.041	2.06	3.29	11.71
99	convnext_femto	224	1024.0	7867.13	130.151	0.79	4.57	5.22
100	ese_vovnet19b_slim	224	1024.0	7834.56	130.693	1.69	3.52	3.17
101	mobilevit_xxs	256	1024.0	7818.95	130.953	0.34	5.74	1.27
102	hardcorenas_f	224	1024.0	7811.68	131.075	0.35	5.57	8.2
103	hardcorenas_e	224	1024.0	7751.65	132.09	0.35	5.65	8.07
104	efficientnet_lite0	224	1024.0	7716.09	132.699	0.4	6.74	4.65
105	xcit_nano_12_p16_224	224	1024.0	7711.63	132.776	0.56	4.17	3.05
106	ghostnet_130	224	1024.0	7680.26	133.318	0.24	4.6	7.36
107	levit_256d	224	1024.0	7643.23	133.964	1.4	4.93	26.21
108	tf_efficientnetv2_b0	224	1024.0	7637.19	134.07	0.73	4.77	7.14
109	repghostnet_130	224	1024.0	7550.55	135.609	0.25	5.24	5.48
110	convnext_femto_ols	224	1024.0	7514.81	136.254	0.82	4.87	5.23
111	regnety_008	224	1024.0	7508.88	136.361	0.81	5.25	6.26
112	tinynet_a	192	1024.0	7458.0	137.291	0.35	5.41	6.19
113	fbnetc_100	224	1024.0	7362.02	139.082	0.4	6.51	5.57
114	tf_efficientnetv2_b1	192	1024.0	7241.64	141.394	0.76	4.59	8.14
115	crossvit_tiny_240	240	1024.0	7093.57	144.345	1.3	5.67	7.01
116	regnety_008_tv	224	1024.0	7067.28	144.882	0.84	5.42	6.43
117	mobilevitv2_050	256	1024.0	7057.9	145.075	0.48	8.04	1.37
118	crossvit_9_240	240	1024.0	6964.15	147.028	1.55	5.59	8.55
119	dla46x_c	224	1024.0	6837.04	149.761	0.54	5.66	1.07
120	tf_efficientnet_lite0	224	1024.0	6819.73	150.142	0.4	6.74	4.65
121	efficientnet_b0	224	1024.0	6721.47	152.337	0.4	6.75	5.29
122	rexnet_100	224	1024.0	6689.15	153.073	0.41	7.44	4.8
123	rexnetr_100	224	1024.0	6646.85	154.047	0.43	7.72	4.88
124	levit_conv_256d	224	1024.0	6618.0	154.719	1.4	4.93	26.21
125	repvit_m1	224	1024.0	6591.52	155.339	0.83	7.45	5.49
126	efficientnet_b1_pruned	240	1024.0	6583.2	155.537	0.4	6.21	6.33
127	repghostnet_150	224	1024.0	6564.41	155.982	0.32	6.0	6.58
128	mnasnet_140	224	1024.0	6559.1	156.108	0.6	7.71	7.12
129	efficientvit_b1	224	1024.0	6458.82	158.532	0.53	7.25	9.1
130	visformer_tiny	224	1024.0	6456.3	158.594	1.27	5.72	10.32
131	crossvit_9_dagger_240	240	1024.0	6436.13	159.091	1.68	6.03	8.78
132	resnet14t	224	1024.0	6404.13	159.886	1.69	5.8	10.08
133	dla60x_c	224	1024.0	6404.11	159.885	0.59	6.01	1.32
134	mobilenetv2_110d	224	1024.0	6387.15	160.311	0.45	8.71	4.52
135	ghostnetv2_100	224	1024.0	6375.73	160.599	0.18	4.55	6.16
136	regnetz_005	224	1024.0	6372.66	160.676	0.52	5.86	7.12
137	repvit_m0_9	224	1024.0	6295.33	162.649	0.83	7.45	5.49
138	edgenext_xx_small	288	1024.0	6241.41	164.053	0.33	4.21	1.33
139	fbnetv3_b	224	1024.0	6166.1	166.058	0.42	6.97	8.6
140	convnext_pico	224	1024.0	6145.95	166.603	1.37	6.1	9.05
141	cs3darknet_focus_m	256	1024.0	6145.46	166.616	1.98	4.89	9.3
142	pvt_v2_b0	224	1024.0	6126.38	167.135	0.53	7.01	3.67
143	tf_efficientnet_b0	224	1024.0	6026.91	169.894	0.4	6.75	5.29
144	nf_regnet_b0	256	1024.0	5970.36	171.503	0.64	5.58	8.76
145	resnetblur18	224	1024.0	5963.74	171.694	2.34	3.39	11.69
146	ese_vovnet19b_dw	224	1024.0	5956.2	171.911	1.34	8.25	6.54
147	hrnet_w18_small	224	1024.0	5950.21	172.083	1.61	5.72	13.19
148	resnet50	160	1024.0	5943.32	172.284	2.1	5.67	25.56
149	repvgg_a1	224	1024.0	5891.09	173.812	2.64	4.74	14.09
150	cs3darknet_m	256	1024.0	5871.36	174.395	2.08	5.28	9.31
151	convnext_pico_ols	224	1024.0	5852.38	174.961	1.43	6.5	9.06
152	vit_base_patch32_clip_224	224	1024.0	5768.1	177.517	4.37	4.19	88.22
153	tf_efficientnetv2_b2	208	1024.0	5753.76	177.96	1.06	6.0	10.1
154	vit_base_patch32_224	224	1024.0	5748.7	178.117	4.37	4.19	88.22
155	semnasnet_140	224	1024.0	5744.77	178.239	0.6	8.87	6.11
156	skresnet18	224	1024.0	5740.29	178.378	1.82	3.24	11.96
157	vit_tiny_r_s16_p8_384	384	1024.0	5663.72	180.79	1.25	5.39	6.36
158	resnet50d	160	1024.0	5651.35	181.185	2.22	6.08	25.58
159	resnet18	288	1024.0	5636.85	181.651	3.01	4.11	11.69
160	mobilenetv2_140	224	1024.0	5629.57	181.886	0.6	9.57	6.11
161	vit_small_patch32_384	384	1024.0	5499.31	186.195	3.26	6.07	22.92
162	convnext_atto	288	1024.0	5487.38	186.599	0.91	6.3	3.7
163	efficientnet_b0_gn	224	1024.0	5481.83	186.788	0.42	6.75	5.29
164	selecsls42	224	1024.0	5458.22	187.596	2.94	4.62	30.35
165	efficientnet_lite1	240	1024.0	5452.84	187.782	0.62	10.14	5.42
166	fbnetv3_d	224	1024.0	5449.6	187.893	0.52	8.5	10.31
167	pit_s_224	224	1024.0	5438.08	188.291	2.42	6.18	23.46
168	selecsls42b	224	1024.0	5414.81	189.1	2.98	4.62	32.46
169	resnet34	224	1024.0	5413.46	189.147	3.67	3.74	21.8
170	pit_s_distilled_224	224	1024.0	5407.14	189.368	2.45	6.22	24.04
171	efficientvit_b1	256	1024.0	5391.26	189.926	0.69	9.46	9.1
172	seresnet18	288	1024.0	5348.84	191.432	3.01	4.11	11.78
173	tf_efficientnetv2_b1	240	1024.0	5293.37	193.439	1.21	7.34	8.14
174	levit_384	224	1024.0	5286.23	193.7	2.36	6.26	39.13
175	convnextv2_atto	224	1024.0	5265.85	194.45	0.55	3.81	3.71
176	repvit_m1_0	224	1024.0	5259.32	194.683	1.13	8.69	7.3
177	seresnet50	160	1024.0	5236.4	195.543	2.1	5.69	28.09
178	convnext_atto_ols	288	1024.0	5201.4	196.86	0.96	6.8	3.7
179	gernet_m	224	1024.0	5195.05	197.1	3.02	5.24	21.14
180	fbnetv3_b	256	1024.0	5178.49	197.729	0.55	9.1	8.6
181	mixnet_s	224	1024.0	5129.76	199.608	0.25	6.25	4.13
182	repghostnet_200	224	1024.0	5125.91	199.759	0.54	7.96	9.8
183	vit_base_patch32_clip_quickgelu_224	224	1024.0	5125.16	199.787	4.37	4.19	87.85
184	seresnet34	224	1024.0	5104.13	200.612	3.67	3.74	21.96
185	repvit_m2	224	1024.0	5098.16	200.845	1.36	9.43	8.8
186	rexnetr_130	224	1024.0	5082.35	201.471	0.68	9.81	7.61
187	efficientnet_b0_g16_evos	224	1024.0	5016.04	204.134	1.01	7.42	8.11
188	ghostnetv2_130	224	1024.0	5011.79	204.307	0.28	5.9	8.96
189	edgenext_x_small	256	1024.0	4992.08	205.112	0.54	5.93	2.34
190	ecaresnet50t	160	1024.0	4989.39	205.225	2.21	6.04	25.57
191	tiny_vit_5m_224	224	1024.0	4963.53	206.293	1.18	9.32	12.08
192	rexnet_130	224	1024.0	4939.41	207.301	0.68	9.71	7.56
193	legacy_seresnet34	224	1024.0	4938.49	207.34	3.67	3.74	21.96
194	eva02_tiny_patch14_224	224	1024.0	4931.19	207.646	1.4	6.17	5.5
195	resnet34d	224	1024.0	4924.89	207.912	3.91	4.54	21.82
196	tf_efficientnet_lite1	240	1024.0	4918.8	208.17	0.62	10.14	5.42
197	mixer_b32_224	224	1024.0	4917.45	208.227	3.24	6.29	60.29
198	resnet50	176	1024.0	4914.58	208.348	2.62	6.92	25.56
199	resnetrs50	160	1024.0	4904.24	208.788	2.29	6.2	35.69
200	xcit_tiny_12_p16_224	224	1024.0	4900.19	208.961	1.24	6.29	6.72
201	repvit_m1_1	224	1024.0	4858.32	210.759	1.36	9.43	8.8
202	levit_conv_384	224	1024.0	4851.29	211.066	2.36	6.26	39.13
203	efficientnet_es_pruned	224	1024.0	4832.02	211.909	1.81	8.73	5.44
204	efficientnet_es	224	1024.0	4828.47	212.065	1.81	8.73	5.44
205	dla34	224	1024.0	4823.61	212.277	3.07	5.02	15.74
206	resnet26	224	1024.0	4806.46	213.036	2.36	7.35	16.0
207	resnet18d	288	1024.0	4806.17	213.049	3.41	5.43	11.71
208	resnext50_32x4d	160	1024.0	4797.48	213.435	2.17	7.35	25.03
209	tf_mixnet_s	224	1024.0	4783.68	214.05	0.25	6.25	4.13
210	convnext_femto	288	1024.0	4774.19	214.475	1.3	7.56	5.22
211	efficientnet_b1	224	1024.0	4707.45	217.516	0.59	9.36	7.79
212	gmlp_ti16_224	224	1024.0	4694.71	218.108	1.34	7.55	5.87
213	cs3darknet_focus_m	288	1024.0	4686.36	218.495	2.51	6.19	9.3
214	mobilenetv2_120d	224	1024.0	4673.25	219.108	0.69	11.97	5.83
215	selecsls60	224	1024.0	4656.74	219.885	3.59	5.52	30.67
216	selecsls60b	224	1024.0	4628.67	221.219	3.63	5.52	32.77
217	tf_efficientnet_es	224	1024.0	4617.85	221.737	1.81	8.73	5.44
218	resmlp_12_224	224	1024.0	4607.73	222.224	3.01	5.5	15.35
219	vit_small_patch16_224	224	1024.0	4586.65	223.246	4.25	8.25	22.05
220	deit_small_patch16_224	224	1024.0	4584.29	223.359	4.25	8.25	22.05
221	fbnetv3_d	256	1024.0	4567.33	224.19	0.68	11.1	10.31
222	gmixer_12_224	224	1024.0	4565.4	224.285	2.67	7.26	12.7
223	deit_small_distilled_patch16_224	224	1024.0	4564.97	224.306	4.27	8.29	22.44
224	convnext_femto_ols	288	1024.0	4561.96	224.454	1.35	8.06	5.23
225	efficientnet_b0_g8_gn	224	1024.0	4561.27	224.488	0.66	6.75	6.56
226	efficientnet_cc_b0_8e	224	1024.0	4542.29	225.426	0.42	9.42	24.01
227	efficientnet_cc_b0_4e	224	1024.0	4540.5	225.515	0.41	9.42	13.31
228	repvgg_b0	224	1024.0	4526.99	226.188	3.41	6.15	15.82
229	mixer_s16_224	224	1024.0	4518.8	226.598	3.79	5.97	18.53
230	cs3darknet_m	288	1024.0	4513.42	226.868	2.63	6.69	9.31
231	convnextv2_femto	224	1024.0	4509.16	227.082	0.79	4.57	5.23
232	regnetx_016	224	1024.0	4476.6	228.734	1.62	7.93	9.19
233	nf_regnet_b1	256	1024.0	4444.68	230.377	0.82	7.27	10.22
234	vit_base_patch32_clip_256	256	1024.0	4442.76	230.476	5.68	5.44	87.86
235	mobilevitv2_075	256	1024.0	4419.22	231.704	1.05	12.06	2.87
236	rexnetr_150	224	1024.0	4415.72	231.888	0.89	11.13	9.78
237	darknet17	256	1024.0	4402.14	232.603	3.26	7.18	14.3
238	resnet26d	224	1024.0	4396.77	232.887	2.6	8.15	16.01
239	resnetaa34d	224	1024.0	4381.9	233.677	4.43	5.07	21.82
240	efficientnet_b2_pruned	260	1024.0	4356.91	235.018	0.73	9.13	8.31
241	convnext_nano	224	1024.0	4340.39	235.913	2.46	8.37	15.59
242	ecaresnet50d_pruned	224	1024.0	4337.48	236.07	2.53	6.43	19.94
243	efficientformer_l1	224	1024.0	4271.29	239.728	1.3	5.53	12.29
244	nf_resnet26	224	1024.0	4216.31	242.856	2.41	7.35	16.0
245	deit3_small_patch16_224	224	1024.0	4203.29	243.607	4.25	8.25	22.06
246	nf_regnet_b2	240	1024.0	4197.9	243.92	0.97	7.23	14.31
247	tf_efficientnet_cc_b0_4e	224	1024.0	4196.5	244.002	0.41	9.42	13.31
248	tf_efficientnet_cc_b0_8e	224	1024.0	4190.23	244.367	0.42	9.42	24.01
249	regnety_016	224	1024.0	4161.97	246.026	1.63	8.04	11.2
250	rexnet_150	224	1024.0	4147.2	246.903	0.9	11.21	9.73
251	ghostnetv2_160	224	1024.0	4116.92	248.718	0.42	7.23	12.39
252	tiny_vit_11m_224	224	1024.0	4086.56	250.566	1.9	10.73	20.35
253	poolformer_s12	224	1024.0	4071.24	251.51	1.82	5.53	11.92
254	regnetz_005	288	1024.0	4056.8	252.404	0.86	9.68	7.12
255	efficientnet_lite2	260	1024.0	4046.71	253.034	0.89	12.9	6.09
256	darknet21	256	1024.0	4001.6	255.887	3.93	7.47	20.86
257	efficientvit_b1	288	1024.0	3997.55	256.145	0.87	11.96	9.1
258	resnext50_32x4d	176	1024.0	3992.51	256.47	2.71	8.97	25.03
259	edgenext_x_small	288	1024.0	3965.96	258.184	0.68	7.5	2.34
260	efficientnet_b1	256	1024.0	3961.36	258.486	0.77	12.22	7.79
261	convnext_nano_ols	224	1024.0	3944.64	259.582	2.65	9.38	15.65
262	resnest14d	224	1024.0	3932.19	260.404	2.76	7.33	10.61
263	tf_efficientnet_b1	240	1024.0	3922.37	261.055	0.71	10.88	7.79
264	flexivit_small	240	1024.0	3913.54	261.645	4.88	9.46	22.06
265	mobilevit_xs	256	768.0	3904.8	196.672	0.93	13.62	2.32
266	regnetz_b16	224	1024.0	3893.58	262.986	1.45	9.95	9.72
267	sedarknet21	256	1024.0	3874.2	264.302	3.93	7.47	20.95
268	resnext26ts	256	1024.0	3832.52	267.176	2.43	10.52	10.3
269	mobileone_s1	224	1024.0	3826.99	267.562	0.86	9.67	4.83
270	tf_efficientnetv2_b2	260	1024.0	3817.93	268.197	1.72	9.84	10.1
271	edgenext_small	256	1024.0	3770.23	271.588	1.26	9.07	5.59
272	convnext_pico	288	1024.0	3731.48	274.411	2.27	10.08	9.05
273	gernet_l	256	1024.0	3727.69	274.69	4.57	8.0	31.08
274	seresnext26ts	256	1024.0	3724.62	274.916	2.43	10.52	10.39
275	eca_resnext26ts	256	1024.0	3723.07	275.031	2.43	10.52	10.3
276	dpn48b	224	1024.0	3716.75	275.497	1.69	8.92	9.13
277	tf_efficientnet_lite2	260	1024.0	3695.32	277.096	0.89	12.9	6.09
278	gcresnext26ts	256	1024.0	3691.17	277.409	2.43	10.53	10.48
279	efficientnet_b2	256	1024.0	3671.26	278.912	0.89	12.81	9.11
280	nf_ecaresnet26	224	1024.0	3640.87	281.24	2.41	7.36	16.0
281	resnetblur18	288	1024.0	3639.91	281.314	3.87	5.6	11.69
282	nf_seresnet26	224	1024.0	3637.43	281.506	2.41	7.36	17.4
283	resnet101	160	1024.0	3616.15	283.164	4.0	8.28	44.55
284	vit_relpos_small_patch16_224	224	1024.0	3590.52	285.183	4.24	9.38	21.98
285	resnet26t	256	1024.0	3578.9	286.111	3.35	10.52	16.01
286	vit_srelpos_small_patch16_224	224	1024.0	3572.97	286.585	4.23	8.49	21.97
287	convnext_pico_ols	288	1024.0	3558.03	287.789	2.37	10.74	9.06
288	cs3darknet_focus_l	256	1024.0	3544.69	288.872	4.66	8.03	21.15
289	tf_efficientnetv2_b3	240	1024.0	3543.38	288.978	1.93	9.95	14.36
290	legacy_seresnext26_32x4d	224	1024.0	3516.72	291.169	2.49	9.39	16.79
291	pvt_v2_b1	224	1024.0	3507.87	291.903	2.04	14.01	14.01
292	repvit_m3	224	1024.0	3501.61	292.425	1.89	13.94	10.68
293	repvgg_a2	224	1024.0	3495.75	292.916	5.7	6.26	28.21
294	efficientnetv2_rw_t	224	1024.0	3486.59	293.686	1.93	9.94	13.65
295	ecaresnet101d_pruned	224	1024.0	3483.13	293.977	3.48	7.69	24.88
296	ese_vovnet19b_dw	288	1024.0	3478.51	294.369	2.22	13.63	6.54
297	mixnet_m	224	1024.0	3474.22	294.731	0.36	8.19	5.01
298	edgenext_small_rw	256	1024.0	3458.08	296.106	1.58	9.51	7.83
299	convnextv2_pico	224	1024.0	3458.0	296.113	1.37	6.1	9.07
300	gc_efficientnetv2_rw_t	224	1024.0	3445.15	297.218	1.94	9.97	13.68
301	cs3darknet_l	256	1024.0	3414.99	299.845	4.86	8.55	21.16
302	efficientnet_b3_pruned	300	1024.0	3412.19	300.09	1.04	11.86	9.86
303	nf_regnet_b1	288	1024.0	3373.08	303.57	1.02	9.2	10.22
304	tf_mixnet_m	224	1024.0	3353.29	305.361	0.36	8.19	5.01
305	convit_tiny	224	1024.0	3342.83	306.316	1.26	7.94	5.71
306	eca_botnext26ts_256	256	1024.0	3341.38	306.449	2.46	11.6	10.59
307	ecaresnext50t_32x4d	224	1024.0	3327.77	307.703	2.7	10.09	15.41
308	ecaresnext26t_32x4d	224	1024.0	3321.66	308.269	2.7	10.09	15.41
309	resnet34	288	1024.0	3320.08	308.416	6.07	6.18	21.8
310	seresnext26t_32x4d	224	1024.0	3319.26	308.491	2.7	10.09	16.81
311	vit_tiny_patch16_384	384	1024.0	3311.59	309.206	3.16	12.08	5.79
312	vit_base_patch32_plus_256	256	1024.0	3301.22	310.177	7.7	6.35	119.48
313	seresnext26d_32x4d	224	1024.0	3300.83	310.214	2.73	10.19	16.81
314	skresnet34	224	1024.0	3294.57	310.803	3.67	5.13	22.28
315	mobilevitv2_100	256	768.0	3290.58	233.384	1.84	16.08	4.9
316	vit_relpos_small_patch16_rpn_224	224	1024.0	3279.29	312.245	4.24	9.38	21.97
317	eca_halonext26ts	256	1024.0	3270.39	313.1	2.44	11.46	10.76
318	coatnet_pico_rw_224	224	1024.0	3250.74	314.993	1.96	12.91	10.85
319	rexnetr_200	224	768.0	3238.38	237.146	1.59	15.11	16.52
320	ecaresnet26t	256	1024.0	3228.23	317.19	3.35	10.53	16.01
321	ecaresnetlight	224	1024.0	3222.96	317.708	4.11	8.42	30.16
322	coatnext_nano_rw_224	224	1024.0	3218.47	318.153	2.36	10.68	14.7
323	cs3sedarknet_l	256	1024.0	3218.11	318.188	4.86	8.56	21.91
324	coat_lite_tiny	224	1024.0	3216.35	318.362	1.6	11.65	5.72
325	nf_regnet_b2	272	1024.0	3205.43	319.447	1.22	9.27	14.31
326	convnextv2_atto	288	1024.0	3199.9	319.999	0.91	6.3	3.71
327	vit_small_r26_s32_224	224	1024.0	3174.89	322.52	3.54	9.44	36.43
328	botnet26t_256	256	1024.0	3173.81	322.63	3.32	11.98	12.49
329	resnetv2_50	224	1024.0	3170.95	322.919	4.11	11.11	25.55
330	fastvit_t8	256	1024.0	3164.9	323.538	0.7	8.63	4.03
331	crossvit_small_240	240	1024.0	3164.86	323.541	5.09	11.34	26.86
332	bat_resnext26ts	256	1024.0	3139.26	326.18	2.53	12.51	10.73
333	seresnet34	288	1024.0	3136.77	326.439	6.07	6.18	21.96
334	halonet26t	256	1024.0	3132.55	326.879	3.19	11.69	12.48
335	lambda_resnet26t	256	1024.0	3123.88	327.786	3.02	11.87	10.96
336	rexnet_200	224	768.0	3120.89	246.073	1.56	14.91	16.37
337	vit_small_resnet26d_224	224	1024.0	3106.26	329.645	5.04	10.65	63.61
338	hrnet_w18_small_v2	224	1024.0	3095.42	330.8	2.62	9.65	15.6
339	mobileone_s2	224	1024.0	3085.91	331.82	1.34	11.55	7.88
340	vit_relpos_base_patch32_plus_rpn_256	256	1024.0	3081.88	332.247	7.59	6.63	119.42
341	tresnet_m	224	1024.0	3073.78	333.129	5.75	7.31	31.39
342	resnet32ts	256	1024.0	3072.91	333.224	4.63	11.58	17.96
343	coatnet_nano_cc_224	224	1024.0	3066.72	333.896	2.13	13.1	13.76
344	resnet101	176	1024.0	3047.24	336.031	4.92	10.08	44.55
345	resnet33ts	256	1024.0	3032.6	337.653	4.76	11.66	19.68
346	efficientvit_b2	224	1024.0	3030.14	337.927	1.6	14.62	24.33
347	resnet50	224	1024.0	3021.24	338.922	4.11	11.11	25.56
348	coat_lite_mini	224	1024.0	3021.22	338.925	2.0	12.25	11.01
349	resnet34d	288	1024.0	3013.98	339.739	6.47	7.51	21.82
350	cspresnet50	256	1024.0	3012.57	339.898	4.54	11.5	21.62
351	resnetv2_50t	224	1024.0	3011.73	339.991	4.32	11.82	25.57
352	dpn68b	224	1024.0	3008.58	340.347	2.35	10.47	12.61
353	coatnet_nano_rw_224	224	1024.0	3001.39	341.165	2.29	13.29	15.14
354	dpn68	224	1024.0	3001.33	341.17	2.35	10.47	12.61
355	resnetv2_50d	224	1024.0	2992.98	342.12	4.35	11.92	25.57
356	convnext_tiny	224	1024.0	2986.71	342.841	4.47	13.44	28.59
357	levit_512	224	1024.0	2974.0	344.305	5.64	10.22	95.17
358	dla60	224	1024.0	2959.44	345.999	4.26	10.16	22.04
359	fbnetv3_g	240	1024.0	2957.87	346.184	1.28	14.87	16.62
360	tf_efficientnet_b2	260	1024.0	2957.04	346.28	1.02	13.83	9.11
361	efficientnet_em	240	1024.0	2948.76	347.254	3.04	14.34	6.9
362	crossvit_15_240	240	1024.0	2948.65	347.266	5.17	12.01	27.53
363	eca_resnet33ts	256	1024.0	2945.18	347.676	4.76	11.66	19.68
364	seresnet33ts	256	1024.0	2940.4	348.24	4.76	11.66	19.78
365	regnetx_032	224	1024.0	2932.49	349.18	3.2	11.37	15.3
366	gcresnet33ts	256	1024.0	2919.42	350.744	4.76	11.68	19.88
367	mobileone_s0	224	1024.0	2911.68	351.675	1.09	15.48	5.29
368	resnet50t	224	1024.0	2893.61	353.872	4.32	11.82	25.57
369	resnet50c	224	1024.0	2893.38	353.9	4.35	11.92	25.58
370	repvit_m1_5	224	1024.0	2891.53	354.126	2.31	15.7	14.64
371	selecsls84	224	1024.0	2891.52	354.128	5.9	7.57	50.95
372	efficientnet_cc_b1_8e	240	1024.0	2883.89	355.064	0.75	15.44	39.72
373	haloregnetz_b	224	1024.0	2883.33	355.134	1.97	11.94	11.68
374	vgg11	224	1024.0	2881.16	355.4	7.61	7.44	132.86
375	resnet50d	224	1024.0	2872.03	356.53	4.35	11.92	25.58
376	resnest26d	224	1024.0	2863.53	357.59	3.64	9.97	17.07
377	tf_efficientnet_em	240	1024.0	2860.98	357.908	3.04	14.34	6.9
378	visformer_small	224	1024.0	2837.73	360.841	4.88	11.43	40.22
379	cspresnet50w	256	1024.0	2834.78	361.216	5.04	12.19	28.12
380	vovnet39a	224	1024.0	2834.5	361.252	7.09	6.73	22.6
381	wide_resnet50_2	176	1024.0	2833.12	361.428	7.29	8.97	68.88
382	cspresnet50d	256	1024.0	2828.94	361.963	4.86	12.55	21.64
383	resnet26	288	1024.0	2826.83	362.233	3.9	12.15	16.0
384	resnext26ts	288	1024.0	2826.2	362.312	3.07	13.31	10.3
385	efficientnet_b2	288	1024.0	2822.88	362.739	1.12	16.2	9.11
386	regnetv_040	224	1024.0	2785.35	367.627	4.0	12.29	20.64
387	levit_512d	224	1024.0	2784.75	367.707	5.85	11.3	92.5
388	levit_conv_512	224	1024.0	2781.3	368.162	5.64	10.22	95.17
389	deit3_medium_patch16_224	224	1024.0	2780.75	368.235	7.53	10.99	38.85
390	crossvit_15_dagger_240	240	1024.0	2776.34	368.82	5.5	12.68	28.21
391	regnety_040	224	1024.0	2768.62	369.849	4.0	12.29	20.65
392	legacy_seresnet50	224	1024.0	2766.98	370.066	3.88	10.6	28.09
393	eca_resnext26ts	288	1024.0	2756.51	371.473	3.07	13.32	10.3
394	seresnext26ts	288	1024.0	2751.54	372.144	3.07	13.32	10.39
395	regnety_032	224	1024.0	2744.75	373.065	3.2	11.26	19.44
396	convnext_tiny_hnf	224	1024.0	2744.61	373.082	4.47	13.44	28.59
397	convnextv2_femto	288	1024.0	2744.25	373.131	1.3	7.56	5.23
398	eca_vovnet39b	224	1024.0	2742.23	373.408	7.09	6.74	22.6
399	resnetv2_50x1_bit	224	1024.0	2741.57	373.497	4.23	11.11	25.55
400	gcresnext26ts	288	1024.0	2728.39	375.302	3.07	13.33	10.48
401	resnetaa50	224	1024.0	2728.16	375.334	5.15	11.64	25.56
402	densenet121	224	1024.0	2725.3	375.726	2.87	6.9	7.98
403	ese_vovnet39b	224	1024.0	2723.97	375.912	7.09	6.74	24.57
404	mixnet_l	224	1024.0	2712.93	377.44	0.58	10.84	7.33
405	tf_efficientnet_cc_b1_8e	240	1024.0	2710.75	377.745	0.75	15.44	39.72
406	mobilevit_s	256	768.0	2698.84	284.557	1.86	17.03	5.58
407	cs3darknet_focus_l	288	1024.0	2695.52	379.878	5.9	10.16	21.15
408	seresnet50	224	1024.0	2693.22	380.203	4.11	11.13	28.09
409	xcit_nano_12_p16_384	384	1024.0	2679.82	382.104	1.64	12.14	3.05
410	resnetaa34d	288	1024.0	2675.02	382.79	7.33	8.38	21.82
411	twins_svt_small	224	1024.0	2670.35	383.458	2.82	10.7	24.06
412	ecaresnet50d_pruned	288	1024.0	2662.19	384.634	4.19	10.61	19.94
413	convnext_nano	288	1024.0	2634.79	388.635	4.06	13.84	15.59
414	resnet50_gn	224	1024.0	2631.91	389.06	4.14	11.11	25.56
415	resnetv2_50d_gn	224	1024.0	2623.43	390.317	4.38	11.92	25.57
416	xcit_tiny_24_p16_224	224	1024.0	2616.39	391.368	2.34	11.82	12.12
417	tf_mixnet_l	224	1024.0	2615.89	391.443	0.58	10.84	7.33
418	res2net50_48w_2s	224	1024.0	2611.06	392.166	4.18	11.72	25.29
419	gcvit_xxtiny	224	1024.0	2608.34	392.574	2.14	15.36	12.0
420	cs3darknet_l	288	1024.0	2607.33	392.728	6.16	10.83	21.16
421	resnetaa50d	224	1024.0	2596.72	394.332	5.39	12.44	25.58
422	vgg11_bn	224	1024.0	2590.27	395.315	7.62	7.44	132.87
423	vit_base_resnet26d_224	224	1024.0	2580.41	396.822	6.93	12.34	101.4
424	vit_relpos_medium_patch16_cls_224	224	1024.0	2579.62	396.946	7.55	13.3	38.76
425	ecaresnet50t	224	1024.0	2579.62	396.946	4.32	11.83	25.57
426	coatnet_rmlp_nano_rw_224	224	1024.0	2579.38	396.984	2.51	18.21	15.15
427	davit_tiny	224	1024.0	2578.68	397.091	4.47	17.08	28.36
428	seresnet50t	224	1024.0	2574.91	397.672	4.32	11.83	28.1
429	resnet26d	288	1024.0	2569.96	398.438	4.29	13.48	16.01
430	mobilevitv2_125	256	768.0	2568.23	299.03	2.86	20.1	7.48
431	nf_regnet_b3	288	1024.0	2563.17	399.494	1.67	11.84	18.59
432	ecaresnet50d	224	1024.0	2560.76	399.87	4.35	11.93	25.58
433	levit_conv_512d	224	1024.0	2557.63	400.359	5.85	11.3	92.5
434	resnet152	160	1024.0	2531.48	404.495	5.9	11.51	60.19
435	efficientvit_b2	256	1024.0	2531.18	404.544	2.09	19.03	24.33
436	mobileone_s3	224	1024.0	2513.71	407.355	1.94	13.85	10.17
437	resnetrs50	224	1024.0	2512.05	407.624	4.48	12.14	35.69
438	twins_pcpvt_small	224	1024.0	2506.77	408.482	3.68	15.51	24.11
439	resnetblur50	224	1024.0	2495.43	410.338	5.16	12.02	25.56
440	poolformerv2_s12	224	1024.0	2489.38	411.337	1.83	5.53	11.89
441	convnextv2_nano	224	1024.0	2480.83	412.755	2.46	8.37	15.62
442	regnetx_040	224	1024.0	2478.03	413.222	3.99	12.2	22.12
443	eca_nfnet_l0	224	1024.0	2476.91	413.407	4.35	10.47	24.14
444	gcresnext50ts	256	1024.0	2473.39	413.995	3.75	15.46	15.67
445	nfnet_l0	224	1024.0	2472.84	414.088	4.36	10.47	35.07
446	tiny_vit_21m_224	224	1024.0	2468.7	414.781	4.08	15.96	33.22
447	cs3sedarknet_l	288	1024.0	2463.79	415.609	6.16	10.83	21.91
448	resnet50s	224	1024.0	2456.52	416.838	5.47	13.52	25.68
449	dla60x	224	1024.0	2437.95	420.012	3.54	13.8	17.35
450	densenetblur121d	224	1024.0	2433.6	420.765	3.11	7.9	8.0
451	edgenext_small	320	1024.0	2424.08	422.414	1.97	14.16	5.59
452	resnext50_32x4d	224	1024.0	2410.12	424.862	4.26	14.4	25.03
453	inception_next_tiny	224	1024.0	2404.04	425.937	4.19	11.98	28.06
454	convnext_nano_ols	288	1024.0	2397.01	427.188	4.38	15.5	15.65
455	vit_relpos_medium_patch16_224	224	1024.0	2394.54	427.629	7.5	12.13	38.75
456	efficientnet_lite3	300	512.0	2392.78	213.967	1.65	21.85	8.2
457	vit_srelpos_medium_patch16_224	224	1024.0	2386.54	429.062	7.49	11.32	38.74
458	regnetz_c16	256	1024.0	2383.36	429.635	2.51	16.57	13.46
459	resnetblur50d	224	1024.0	2382.64	429.765	5.4	12.82	25.58
460	vit_base_r26_s32_224	224	1024.0	2381.88	429.901	6.76	11.54	101.38
461	gcresnet50t	256	1024.0	2372.96	431.518	5.42	14.67	25.9
462	regnety_040_sgn	224	1024.0	2371.57	431.77	4.03	12.29	20.65
463	res2net50_26w_4s	224	1024.0	2359.62	433.957	4.28	12.61	25.7
464	vovnet57a	224	1024.0	2357.12	434.416	8.95	7.52	36.64
465	resmlp_24_224	224	1024.0	2350.19	435.697	5.96	10.91	30.02
466	maxvit_pico_rw_256	256	768.0	2346.84	327.238	1.68	18.77	7.46
467	inception_v3	299	1024.0	2346.46	436.391	5.73	8.97	23.83
468	maxvit_rmlp_pico_rw_256	256	768.0	2343.0	327.774	1.69	21.32	7.52
469	seresnetaa50d	224	1024.0	2333.21	438.87	5.4	12.46	28.11
470	focalnet_tiny_srf	224	1024.0	2331.81	439.132	4.42	16.32	28.43
471	cspresnext50	256	1024.0	2330.62	439.358	4.05	15.86	20.57
472	res2net50_14w_8s	224	1024.0	2327.89	439.871	4.21	13.28	25.06
473	dla60_res2net	224	1024.0	2327.26	439.99	4.15	12.34	20.85
474	coatnet_0_rw_224	224	1024.0	2319.62	441.438	4.23	15.1	27.44
475	regnetz_b16	288	1024.0	2318.51	441.651	2.39	16.43	9.72
476	gmixer_24_224	224	1024.0	2315.73	442.182	5.28	14.45	24.72
477	resnext50d_32x4d	224	1024.0	2305.65	444.116	4.5	15.2	25.05
478	lambda_resnet26rpt_256	256	768.0	2282.36	336.484	3.16	11.87	10.99
479	ese_vovnet57b	224	1024.0	2279.9	449.132	8.95	7.52	38.61
480	resnest50d_1s4x24d	224	1024.0	2278.75	449.357	4.43	13.57	25.68
481	dla60_res2next	224	1024.0	2268.77	451.333	3.49	13.17	17.03
482	sehalonet33ts	256	1024.0	2262.52	452.582	3.55	14.7	13.69
483	res2net50d	224	1024.0	2256.17	453.855	4.52	13.41	25.72
484	vit_medium_patch16_gap_240	240	1024.0	2253.27	454.439	8.6	12.57	44.4
485	res2next50	224	1024.0	2251.4	454.817	4.2	13.71	24.67
486	resnet32ts	288	1024.0	2244.87	456.139	5.86	14.65	17.96
487	edgenext_base	256	1024.0	2239.63	457.204	3.85	15.58	18.51
488	efficientvit_l1	224	1024.0	2235.54	458.043	5.27	15.85	52.65
489	skresnet50	224	1024.0	2226.66	459.87	4.11	12.5	25.8
490	nfnet_f0	192	1024.0	2226.44	459.916	7.21	10.16	71.49
491	tf_efficientnetv2_b3	300	1024.0	2226.35	459.935	3.04	15.74	14.36
492	efficientnetv2_rw_t	288	1024.0	2225.5	460.11	3.19	16.42	13.65
493	nf_ecaresnet50	224	1024.0	2219.3	461.395	4.21	11.13	25.56
494	darknetaa53	256	1024.0	2219.0	461.459	7.97	12.39	36.02
495	densenet169	224	1024.0	2218.3	461.604	3.4	7.3	14.15
496	nf_seresnet50	224	1024.0	2217.49	461.772	4.21	11.13	28.09
497	edgenext_small_rw	320	1024.0	2214.15	462.468	2.46	14.85	7.83
498	resnet33ts	288	1024.0	2214.09	462.482	6.02	14.75	19.68
499	xcit_small_12_p16_224	224	1024.0	2207.67	463.826	4.82	12.57	26.25
500	focalnet_tiny_lrf	224	1024.0	2205.41	464.301	4.49	17.76	28.65
501	resnet51q	256	1024.0	2195.84	466.325	6.38	16.55	35.7
502	repvgg_b1g4	224	1024.0	2195.75	466.344	8.15	10.64	39.97
503	seresnext50_32x4d	224	1024.0	2188.04	467.986	4.26	14.42	27.56
504	vit_relpos_medium_patch16_rpn_224	224	1024.0	2187.29	468.147	7.5	12.13	38.73
505	cs3darknet_focus_x	256	1024.0	2185.7	468.489	8.03	10.69	35.02
506	legacy_seresnext50_32x4d	224	1024.0	2184.4	468.766	4.26	14.42	27.56
507	tf_efficientnet_lite3	300	512.0	2178.27	235.039	1.65	21.85	8.2
508	resnet26t	320	1024.0	2173.03	471.22	5.24	16.44	16.01
509	gc_efficientnetv2_rw_t	288	1024.0	2170.84	471.696	3.2	16.45	13.68
510	gmlp_s16_224	224	1024.0	2161.42	473.752	4.42	15.1	19.42
511	seresnet33ts	288	1024.0	2156.33	474.868	6.02	14.76	19.78
512	eca_resnet33ts	288	1024.0	2152.27	475.765	6.02	14.76	19.68
513	fastvit_t12	256	1024.0	2151.9	475.846	1.42	12.42	7.55
514	nf_regnet_b3	320	1024.0	2148.66	476.564	2.05	14.61	18.59
515	eva02_small_patch14_224	224	1024.0	2144.78	477.426	5.53	12.34	21.62
516	resnet152	176	1024.0	2139.0	478.716	7.22	13.99	60.19
517	vit_medium_patch16_reg4_gap_256	256	1024.0	2137.51	479.051	9.93	14.51	38.87
518	gcresnet33ts	288	1024.0	2134.49	479.728	6.02	14.78	19.88
519	skresnet50d	224	1024.0	2133.34	479.986	4.36	13.31	25.82
520	ecaresnet101d_pruned	288	1024.0	2128.45	481.09	5.75	12.71	24.88
521	fbnetv3_g	288	1024.0	2127.74	481.25	1.77	21.09	16.62
522	vit_medium_patch16_reg4_256	256	1024.0	2119.83	483.047	9.97	14.56	38.87
523	eva02_tiny_patch14_336	336	1024.0	2106.54	486.094	3.14	13.85	5.76
524	convnextv2_pico	288	1024.0	2101.04	487.367	2.27	10.08	9.07
525	nf_resnet50	256	1024.0	2100.31	487.536	5.46	14.52	25.56
526	resnetrs101	192	1024.0	2100.21	487.558	6.04	12.7	63.62
527	poolformer_s24	224	1024.0	2099.97	487.615	3.41	10.68	21.39
528	pvt_v2_b2	224	1024.0	2099.92	487.626	3.9	24.96	25.36
529	efficientnet_b3	288	512.0	2089.91	244.977	1.63	21.49	12.23
530	cs3sedarknet_xdw	256	1024.0	2078.01	492.768	5.97	17.18	21.6
531	darknet53	256	1024.0	2077.03	493.0	9.31	12.39	41.61
532	ecaresnet50t	256	1024.0	2076.41	493.149	5.64	15.45	25.57
533	cs3darknet_x	256	1024.0	2060.02	497.071	8.38	11.35	35.05
534	xcit_nano_12_p8_224	224	1024.0	2059.06	497.302	2.16	15.71	3.05
535	mobilevitv2_150	256	512.0	2058.61	248.702	4.09	24.11	10.59
536	rexnetr_300	224	1024.0	2042.01	501.455	3.39	22.16	34.81
537	lambda_resnet50ts	256	1024.0	2041.61	501.552	5.07	17.48	21.54
538	fastvit_s12	256	1024.0	2028.81	504.718	1.82	13.67	9.47
539	coatnet_rmlp_0_rw_224	224	1024.0	2024.25	505.855	4.52	21.26	27.45
540	gcvit_xtiny	224	1024.0	2023.42	506.063	2.93	20.26	19.98
541	fastvit_sa12	256	1024.0	2022.28	506.347	1.96	13.83	11.58
542	crossvit_18_240	240	1024.0	2014.44	508.318	8.21	16.14	43.27
543	vit_medium_patch16_gap_256	256	1024.0	1996.45	512.899	9.78	14.29	38.86
544	resnet61q	256	1024.0	1996.22	512.958	7.8	17.01	36.85
545	coatnet_bn_0_rw_224	224	1024.0	1985.64	515.69	4.48	18.41	27.44
546	vit_base_patch32_384	384	1024.0	1984.44	516.005	12.67	12.14	88.3
547	vit_base_patch32_clip_384	384	1024.0	1981.44	516.784	12.67	12.14	88.3
548	cspdarknet53	256	1024.0	1981.04	516.888	6.57	16.81	27.64
549	sebotnet33ts_256	256	512.0	1977.98	258.841	3.89	17.46	13.7
550	ecaresnet26t	320	1024.0	1973.79	518.786	5.24	16.44	16.01
551	vit_base_resnet50d_224	224	1024.0	1971.35	519.428	8.68	16.1	110.97
552	cs3sedarknet_x	256	1024.0	1962.3	521.825	8.38	11.35	35.4
553	regnetx_080	224	1024.0	1962.04	521.894	8.02	14.06	39.57
554	seresnext26t_32x4d	288	1024.0	1950.77	524.91	4.46	16.68	16.81
555	mixnet_xl	224	1024.0	1948.29	525.576	0.93	14.57	11.9
556	resnest50d	224	1024.0	1945.36	526.368	5.4	14.36	27.48
557	seresnext26d_32x4d	288	1024.0	1940.04	527.813	4.51	16.85	16.81
558	coatnet_0_224	224	512.0	1939.29	264.004	4.43	21.14	25.04
559	swin_tiny_patch4_window7_224	224	1024.0	1938.74	528.165	4.51	17.06	28.29
560	resnetv2_101	224	1024.0	1935.15	529.146	7.83	16.23	44.54
561	regnetx_064	224	1024.0	1933.12	529.703	6.49	16.37	26.21
562	dla102	224	1024.0	1924.77	531.998	7.19	14.18	33.27
563	crossvit_18_dagger_240	240	1024.0	1921.19	532.991	8.65	16.91	44.27
564	rexnetr_200	288	512.0	1914.7	267.396	2.62	24.96	16.52
565	rexnet_300	224	1024.0	1911.46	535.706	3.44	22.4	34.71
566	nest_tiny	224	1024.0	1908.27	536.601	5.24	14.75	17.06
567	dm_nfnet_f0	192	1024.0	1907.3	536.873	7.21	10.16	71.49
568	ecaresnetlight	288	1024.0	1897.75	539.574	6.79	13.91	30.16
569	maxxvit_rmlp_nano_rw_256	256	768.0	1897.05	404.83	4.17	21.53	16.78
570	resnet101	224	1024.0	1885.15	543.183	7.83	16.23	44.55
571	nest_tiny_jx	224	1024.0	1884.26	543.437	5.24	14.75	17.06
572	pvt_v2_b2_li	224	1024.0	1882.78	543.863	3.77	25.04	22.55
573	vit_large_patch32_224	224	1024.0	1869.82	547.632	15.27	11.11	305.51
574	vgg13	224	1024.0	1868.34	548.068	11.31	12.25	133.05
575	resnetv2_101d	224	1024.0	1865.75	548.827	8.07	17.04	44.56
576	efficientformer_l3	224	1024.0	1865.63	548.865	3.93	12.01	31.41
577	resnetv2_50	288	1024.0	1863.99	549.347	6.79	18.37	25.55
578	mobileone_s4	224	1024.0	1856.33	551.615	3.04	17.74	14.95
579	res2net50_26w_6s	224	1024.0	1853.01	552.603	6.33	15.28	37.05
580	efficientvit_b2	288	1024.0	1851.14	553.16	2.64	24.03	24.33
581	lamhalobotnet50ts_256	256	1024.0	1841.89	555.938	5.02	18.44	22.57
582	maxvit_nano_rw_256	256	768.0	1833.65	418.827	4.26	25.76	15.45
583	maxvit_rmlp_nano_rw_256	256	768.0	1832.13	419.175	4.28	27.4	15.5
584	convnext_small	224	1024.0	1829.72	559.636	8.71	21.56	50.22
585	resnet101c	224	1024.0	1824.57	561.217	8.08	17.04	44.57
586	convnext_tiny	288	1024.0	1817.02	563.549	7.39	22.21	28.59
587	resnet101d	224	1024.0	1816.61	563.677	8.08	17.04	44.57
588	gcresnext50ts	288	1024.0	1802.21	568.181	4.75	19.57	15.67
589	efficientnetv2_s	288	1024.0	1800.9	568.595	4.75	20.13	21.46
590	pit_b_distilled_224	224	1024.0	1798.47	569.363	10.63	16.67	74.79
591	resnet50	288	1024.0	1790.94	571.757	6.8	18.37	25.56
592	twins_pcpvt_base	224	1024.0	1774.55	577.037	6.46	21.35	43.83
593	halonet50ts	256	1024.0	1772.89	577.576	5.3	19.2	22.73
594	dpn68b	288	1024.0	1770.85	578.24	3.89	17.3	12.61
595	pit_b_224	224	1024.0	1769.93	578.542	10.56	16.6	73.76
596	hrnet_w18_ssld	224	1024.0	1769.77	578.594	4.32	16.31	21.3
597	swin_s3_tiny_224	224	1024.0	1768.18	579.114	4.64	19.13	28.33
598	efficientvit_l2	224	1024.0	1765.89	579.866	6.97	19.58	63.71
599	hrnet_w18	224	1024.0	1763.75	580.57	4.32	16.31	21.3
600	coat_lite_small	224	1024.0	1746.27	586.38	3.96	22.09	19.84
601	repvgg_b1	224	1024.0	1745.5	586.64	13.16	10.64	57.42
602	wide_resnet50_2	224	1024.0	1744.59	586.947	11.43	14.4	68.88
603	efficientnet_b3	320	512.0	1740.17	294.213	2.01	26.52	12.23
604	gcresnet50t	288	1024.0	1734.6	590.328	6.86	18.57	25.9
605	densenet201	224	1024.0	1731.46	591.397	4.34	7.85	20.01
606	tresnet_v2_l	224	1024.0	1730.52	591.717	8.85	16.34	46.17
607	tf_efficientnet_b3	300	512.0	1724.68	296.856	1.87	23.83	12.23
608	efficientnetv2_rw_s	288	1024.0	1722.48	594.481	4.91	21.41	23.94
609	darknetaa53	288	1024.0	1719.51	595.509	10.08	15.68	36.02
610	maxxvitv2_nano_rw_256	256	768.0	1706.28	450.091	6.12	19.66	23.7
611	resnetaa101d	224	1024.0	1701.55	601.792	9.12	17.56	44.57
612	xcit_tiny_12_p16_384	384	1024.0	1700.55	602.144	3.64	18.25	6.72
613	cait_xxs24_224	224	1024.0	1698.66	602.815	2.53	20.29	11.96
614	resnet50t	288	1024.0	1694.77	604.2	7.14	19.53	25.57
615	legacy_seresnet101	224	1024.0	1693.62	604.611	7.61	15.74	49.33
616	cs3edgenet_x	256	1024.0	1692.79	604.907	11.53	12.92	47.82
617	resnet50d	288	1024.0	1684.01	608.061	7.19	19.7	25.58
618	mobilevitv2_175	256	512.0	1675.38	305.592	5.54	28.13	14.25
619	regnetv_064	224	1024.0	1674.09	611.663	6.39	16.41	30.58
620	resnetv2_101x1_bit	224	1024.0	1672.61	612.204	8.04	16.23	44.54
621	efficientnet_b3_gn	288	512.0	1669.75	306.623	1.74	23.35	11.73
622	ese_vovnet39b	288	768.0	1667.87	460.459	11.71	11.13	24.57
623	regnety_032	288	1024.0	1666.89	614.307	5.29	18.61	19.44
624	seresnet101	224	1024.0	1666.33	614.509	7.84	16.27	49.33
625	regnety_064	224	1024.0	1666.11	614.593	6.39	16.41	30.58
626	convnext_tiny_hnf	288	1024.0	1663.94	615.393	7.39	22.21	28.59
627	regnetv_040	288	1024.0	1658.56	617.391	6.6	20.3	20.64
628	regnety_040	288	1024.0	1648.75	621.064	6.61	20.3	20.65
629	regnety_080	224	1024.0	1645.74	622.202	8.0	17.97	39.18
630	resnet101s	224	1024.0	1640.53	624.176	9.19	18.64	44.67
631	mixer_b16_224	224	1024.0	1627.76	629.075	12.62	14.53	59.88
632	dla102x	224	1024.0	1623.56	630.698	5.89	19.42	26.31
633	nf_resnet101	224	1024.0	1622.48	631.12	8.01	16.23	44.55
634	swinv2_cr_tiny_224	224	1024.0	1621.28	631.59	4.66	28.45	28.33
635	ecaresnet101d	224	1024.0	1619.0	632.477	8.08	17.07	44.57
636	convnextv2_tiny	224	1024.0	1618.49	632.676	4.47	13.44	28.64
637	darknet53	288	1024.0	1615.64	633.795	11.78	15.68	41.61
638	wide_resnet101_2	176	1024.0	1615.25	633.945	14.31	13.18	126.89
639	repvit_m2_3	224	1024.0	1614.73	634.149	4.57	26.21	23.69
640	resnetaa50	288	1024.0	1610.23	635.923	8.52	19.24	25.56
641	resnetblur101d	224	1024.0	1609.76	636.109	9.12	17.94	44.57
642	efficientvit_b3	224	1024.0	1609.54	636.196	3.99	26.9	48.65
643	regnetz_d32	256	1024.0	1603.03	638.779	5.98	23.74	27.58
644	regnetz_b16_evos	224	1024.0	1602.47	639.001	1.43	9.95	9.74
645	ese_vovnet39b_evos	224	1024.0	1599.88	640.036	7.07	6.74	24.58
646	davit_small	224	1024.0	1599.81	640.066	8.69	27.54	49.75
647	seresnet50	288	1024.0	1595.89	641.637	6.8	18.39	28.09
648	cs3se_edgenet_x	256	1024.0	1593.53	642.587	11.53	12.94	50.72
649	nf_regnet_b4	320	1024.0	1592.57	642.975	3.29	19.88	30.21
650	swinv2_cr_tiny_ns_224	224	1024.0	1590.7	643.731	4.66	28.45	28.33
651	sequencer2d_s	224	1024.0	1586.65	645.372	4.96	11.31	27.65
652	tf_efficientnetv2_s	300	1024.0	1583.75	646.555	5.35	22.73	21.46
653	densenet121	288	1024.0	1581.16	647.615	4.74	11.41	7.98
654	resnet51q	288	1024.0	1581.05	647.659	8.07	20.94	35.7
655	regnetz_d8	256	1024.0	1580.57	647.855	3.97	23.74	23.37
656	resmlp_36_224	224	1024.0	1577.5	649.116	8.91	16.33	44.69
657	mixer_l32_224	224	1024.0	1577.26	649.215	11.27	19.86	206.94
658	regnetz_040	256	1024.0	1574.58	650.32	4.06	24.19	27.12
659	vit_base_patch16_224_miil	224	1024.0	1574.06	650.535	16.88	16.5	94.4
660	botnet50ts_256	256	512.0	1573.5	325.38	5.54	22.23	22.74
661	resnet50_gn	288	1024.0	1570.23	652.122	6.85	18.37	25.56
662	vit_base_patch16_clip_224	224	1024.0	1569.93	652.248	16.87	16.49	86.57
663	cs3darknet_x	288	1024.0	1569.68	652.352	10.6	14.36	35.05
664	deit_base_distilled_patch16_224	224	1024.0	1568.26	652.942	16.95	16.58	87.34
665	vit_base_patch16_224	224	1024.0	1568.03	653.038	16.87	16.49	86.57
666	deit_base_patch16_224	224	1024.0	1567.8	653.131	16.87	16.49	86.57
667	regnetz_040_h	256	1024.0	1564.2	654.638	4.12	24.29	28.94
668	resnetv2_50d_gn	288	1024.0	1555.81	658.164	7.24	19.7	25.57
669	resnetv2_50d_frn	224	1024.0	1553.07	659.326	4.33	11.92	25.59
670	tresnet_l	224	1024.0	1528.92	669.739	10.9	11.9	55.99
671	regnety_080_tv	224	1024.0	1528.54	669.91	8.51	19.73	39.38
672	resnetaa50d	288	1024.0	1524.48	671.692	8.92	20.57	25.58
673	nf_resnet50	288	1024.0	1524.41	671.724	6.88	18.37	25.56
674	caformer_s18	224	1024.0	1522.76	672.449	3.9	15.18	26.34
675	resnext101_32x8d	176	1024.0	1521.82	672.868	10.33	19.37	88.79
676	seresnet50t	288	1024.0	1518.59	674.299	7.14	19.55	28.1
677	ecaresnet50t	288	1024.0	1518.21	674.465	7.14	19.55	25.57
678	mvitv2_tiny	224	1024.0	1518.01	674.556	4.7	21.16	24.17
679	resnet101d	256	1024.0	1517.18	674.926	10.55	22.25	44.57
680	pvt_v2_b3	224	1024.0	1516.27	675.326	6.71	33.8	45.24
681	maxvit_tiny_rw_224	224	768.0	1513.7	507.357	4.93	28.54	29.06
682	ecaresnet50d	288	1024.0	1510.36	677.975	7.19	19.72	25.58
683	convnextv2_nano	288	768.0	1503.98	510.637	4.06	13.84	15.62
684	halo2botnet50ts_256	256	1024.0	1499.3	682.975	5.02	21.78	22.64
685	cs3sedarknet_x	288	1024.0	1498.9	683.158	10.6	14.37	35.4
686	res2net50_26w_8s	224	1024.0	1498.8	683.201	8.37	17.95	48.4
687	resnext101_32x4d	224	1024.0	1496.35	684.32	8.01	21.23	44.18
688	deit3_base_patch16_224	224	1024.0	1488.08	688.122	16.87	16.49	86.59
689	regnetz_c16	320	1024.0	1478.43	692.615	3.92	25.88	13.46
690	resnest50d_4s2x40d	224	1024.0	1478.06	692.785	4.4	17.94	30.42
691	resnetblur50	288	1024.0	1477.0	693.285	8.52	19.87	25.56
692	skresnext50_32x4d	224	1024.0	1470.18	696.502	4.5	17.18	27.48
693	efficientvit_l2	256	1024.0	1466.16	698.41	9.09	25.49	63.71
694	eca_nfnet_l0	288	1024.0	1463.28	699.787	7.12	17.29	24.14
695	mobilevitv2_200	256	768.0	1462.66	525.062	7.22	32.15	18.45
696	nfnet_l0	288	1024.0	1461.21	700.775	7.13	17.29	35.07
697	resnet61q	288	1024.0	1460.17	701.277	9.87	21.52	36.85
698	vit_base_patch32_clip_448	448	1024.0	1456.81	702.892	17.21	16.49	88.34
699	vit_small_patch16_36x1_224	224	1024.0	1454.45	704.036	12.63	24.59	64.67
700	vit_small_resnet50d_s16_224	224	1024.0	1451.55	705.439	13.0	21.12	57.53
701	beit_base_patch16_224	224	1024.0	1443.54	709.354	16.87	16.49	86.53
702	res2net101_26w_4s	224	1024.0	1442.54	709.848	8.1	18.45	45.21
703	vit_base_patch16_siglip_224	224	1024.0	1439.5	711.343	17.02	16.71	92.88
704	vit_base_patch16_gap_224	224	1024.0	1436.45	712.857	16.78	16.41	86.57
705	regnety_040_sgn	288	1024.0	1436.16	712.999	6.67	20.3	20.65
706	beitv2_base_patch16_224	224	1024.0	1436.01	713.075	16.87	16.49	86.53
707	convit_small	224	1024.0	1431.38	715.383	5.76	17.87	27.78
708	edgenext_base	320	1024.0	1423.6	719.289	6.01	24.32	18.51
709	convformer_s18	224	1024.0	1421.81	720.197	3.96	15.82	26.77
710	focalnet_small_srf	224	1024.0	1419.82	721.204	8.62	26.26	49.89
711	densenetblur121d	288	1024.0	1416.47	722.914	5.14	13.06	8.0
712	poolformer_s36	224	1024.0	1415.39	723.463	5.0	15.82	30.86
713	resnetv2_50d_evos	224	1024.0	1415.09	723.614	4.33	11.92	25.59
714	coatnet_rmlp_1_rw_224	224	1024.0	1413.05	724.664	7.44	28.08	41.69
715	res2net101d	224	1024.0	1406.68	727.943	8.35	19.25	45.23
716	legacy_xception	299	1024.0	1405.99	728.302	8.4	35.83	22.86
717	vit_small_patch16_18x2_224	224	1024.0	1405.24	728.689	12.63	24.59	64.67
718	resnetblur50d	288	1024.0	1403.3	729.695	8.92	21.19	25.58
719	resnext50_32x4d	288	1024.0	1402.5	730.115	7.04	23.81	25.03
720	inception_next_small	224	1024.0	1397.1	732.931	8.36	19.27	49.37
721	repvgg_b2g4	224	1024.0	1392.83	735.183	12.63	12.9	61.76
722	gcvit_tiny	224	1024.0	1390.57	736.376	4.79	29.82	28.22
723	vit_relpos_base_patch16_clsgap_224	224	1024.0	1386.7	738.433	16.88	17.72	86.43
724	vit_base_patch16_clip_quickgelu_224	224	1024.0	1384.47	739.621	16.87	16.49	86.19
725	vit_relpos_base_patch16_cls_224	224	1024.0	1384.18	739.775	16.88	17.72	86.43
726	dpn92	224	1024.0	1380.04	741.995	6.54	18.21	37.67
727	seresnetaa50d	288	1024.0	1379.8	742.125	8.92	20.59	28.11
728	vit_small_patch16_384	384	1024.0	1379.23	742.429	12.45	24.15	22.2
729	nf_ecaresnet101	224	1024.0	1375.27	744.569	8.01	16.27	44.55
730	nf_seresnet101	224	1024.0	1370.83	746.983	8.02	16.27	49.33
731	efficientnet_b3_gn	320	384.0	1366.12	281.077	2.14	28.83	11.73
732	vgg16_bn	224	1024.0	1361.56	752.067	15.5	13.56	138.37
733	flexivit_base	240	1024.0	1360.19	752.822	19.35	18.92	86.59
734	efficientformerv2_s0	224	1024.0	1357.83	754.133	0.41	5.3	3.6
735	resnetv2_152	224	1024.0	1356.74	754.735	11.55	22.56	60.19
736	seresnext101_32x4d	224	1024.0	1356.08	755.105	8.02	21.26	48.96
737	legacy_seresnext101_32x4d	224	1024.0	1355.29	755.543	8.02	21.26	48.96
738	efficientnet_b3_g8_gn	288	768.0	1342.01	572.264	2.59	23.35	14.25
739	efficientvit_b3	256	768.0	1340.35	572.972	5.2	35.01	48.65
740	efficientnet_b4	320	512.0	1338.46	382.52	3.13	34.76	19.34
741	nfnet_f0	256	1024.0	1336.25	766.311	12.62	18.05	71.49
742	resnext50d_32x4d	288	1024.0	1335.71	766.62	7.44	25.13	25.05
743	focalnet_small_lrf	224	1024.0	1333.55	767.863	8.74	28.61	50.34
744	resnet152	224	1024.0	1331.42	769.094	11.56	22.56	60.19
745	ese_vovnet99b	224	1024.0	1328.91	770.544	16.51	11.27	63.2
746	resnetv2_152d	224	1024.0	1322.45	774.307	11.8	23.36	60.2
747	regnetx_120	224	1024.0	1317.68	777.11	12.13	21.37	46.11
748	hrnet_w32	224	1024.0	1308.75	782.414	8.97	22.02	41.23
749	xception41p	299	512.0	1308.08	391.403	9.25	39.86	26.91
750	vit_relpos_base_patch16_224	224	1024.0	1306.59	783.71	16.8	17.63	86.43
751	xcit_tiny_12_p8_224	224	1024.0	1306.3	783.883	4.81	23.6	6.71
752	coatnet_1_rw_224	224	1024.0	1303.02	785.857	7.63	27.22	41.72
753	resnet152c	224	1024.0	1301.97	786.489	11.8	23.36	60.21
754	coatnet_rmlp_1_rw2_224	224	1024.0	1300.63	787.299	7.71	32.74	41.72
755	twins_pcpvt_large	224	1024.0	1297.56	789.162	9.53	30.21	60.99
756	maxvit_tiny_tf_224	224	768.0	1297.26	592.007	5.42	31.21	30.92
757	resnet152d	224	1024.0	1296.94	789.538	11.8	23.36	60.21
758	cs3edgenet_x	288	1024.0	1296.8	789.626	14.59	16.36	47.82
759	vit_base_patch16_xp_224	224	1024.0	1295.7	790.295	16.85	16.49	86.51
760	poolformerv2_s24	224	1024.0	1287.82	795.129	3.42	10.68	21.34
761	dla169	224	1024.0	1280.41	799.732	11.6	20.2	53.39
762	efficientnet_el_pruned	300	1024.0	1280.32	799.789	8.0	30.7	10.59
763	efficientnet_el	300	1024.0	1279.02	800.603	8.0	30.7	10.59
764	seresnext50_32x4d	288	1024.0	1276.82	801.978	7.04	23.82	27.56
765	hrnet_w30	224	1024.0	1276.63	802.098	8.15	21.21	37.71
766	deit3_small_patch16_384	384	1024.0	1274.41	803.494	12.45	24.15	22.21
767	ecaresnet50t	320	1024.0	1274.01	803.751	8.82	24.13	25.57
768	maxxvit_rmlp_tiny_rw_256	256	768.0	1269.37	605.011	6.36	32.69	29.64
769	volo_d1_224	224	1024.0	1269.05	806.894	6.94	24.43	26.63
770	vgg19	224	1024.0	1264.63	809.714	19.63	14.86	143.67
771	convnext_base	224	1024.0	1259.04	813.306	15.38	28.75	88.59
772	rexnetr_300	288	512.0	1257.05	407.293	5.59	36.61	34.81
773	vit_base_patch16_rpn_224	224	1024.0	1255.24	815.771	16.78	16.41	86.54
774	densenet161	224	1024.0	1254.96	815.95	7.79	11.06	28.68
775	efficientformerv2_s1	224	1024.0	1251.09	818.477	0.67	7.66	6.19
776	regnety_120	224	1024.0	1250.69	818.739	12.14	21.38	51.82
777	twins_svt_base	224	1024.0	1249.89	819.258	8.36	20.42	56.07
778	tf_efficientnet_el	300	1024.0	1249.79	819.323	8.0	30.7	10.59
779	sequencer2d_m	224	1024.0	1238.3	826.927	6.55	14.26	38.31
780	nest_small	224	1024.0	1229.99	832.512	9.41	22.88	38.35
781	maxvit_tiny_rw_256	256	768.0	1229.06	624.855	6.44	37.27	29.07
782	maxvit_rmlp_tiny_rw_256	256	768.0	1228.3	625.245	6.47	39.84	29.15
783	repvgg_b2	224	1024.0	1219.54	839.651	20.45	12.9	89.02
784	nest_small_jx	224	1024.0	1219.36	839.775	9.41	22.88	38.35
785	mixnet_xxl	224	768.0	1211.88	633.716	2.04	23.43	23.96
786	resnet152s	224	1024.0	1205.05	849.747	12.92	24.96	60.32
787	swin_small_patch4_window7_224	224	1024.0	1202.25	851.724	8.77	27.47	49.61
788	inception_v4	299	1024.0	1191.21	859.617	12.28	15.09	42.68
789	swinv2_tiny_window8_256	256	1024.0	1191.2	859.622	5.96	24.57	28.35
790	legacy_seresnet152	224	1024.0	1187.19	862.527	11.33	22.08	66.82
791	coatnet_1_224	224	512.0	1184.08	432.392	8.28	31.3	42.23
792	xcit_small_24_p16_224	224	1024.0	1178.16	869.138	9.1	23.63	47.67
793	vit_relpos_base_patch16_rpn_224	224	1024.0	1177.44	869.665	16.8	17.63	86.41
794	eca_nfnet_l1	256	1024.0	1175.13	871.38	9.62	22.04	41.41
795	seresnet152	224	1024.0	1173.43	872.64	11.57	22.61	66.82
796	maxvit_tiny_pm_256	256	768.0	1169.83	656.496	6.31	40.82	30.09
797	crossvit_base_240	240	1024.0	1165.77	878.374	20.13	22.67	105.03
798	efficientnet_lite4	380	384.0	1155.38	332.349	4.04	45.66	13.01
799	xception41	299	512.0	1153.48	443.864	9.28	39.86	26.97
800	regnetx_160	224	1024.0	1153.37	887.82	15.99	25.52	54.28
801	vgg19_bn	224	1024.0	1151.34	889.391	19.66	14.86	143.68
802	cait_xxs36_224	224	1024.0	1139.1	898.942	3.77	30.34	17.3
803	tresnet_xl	224	1024.0	1138.98	899.04	15.2	15.34	78.44
804	tnt_s_patch16_224	224	1024.0	1134.46	902.62	5.24	24.37	23.76
805	davit_base	224	1024.0	1133.31	903.534	15.36	36.72	87.95
806	dm_nfnet_f0	256	1024.0	1132.28	904.361	12.62	18.05	71.49
807	resnetv2_101	288	1024.0	1131.44	905.029	12.94	26.83	44.54
808	mvitv2_small_cls	224	1024.0	1129.19	906.833	7.04	28.17	34.87
809	mvitv2_small	224	1024.0	1128.19	907.64	7.0	28.08	34.87
810	coat_tiny	224	1024.0	1126.07	909.345	4.35	27.2	5.5
811	convmixer_1024_20_ks9_p14	224	1024.0	1123.31	911.577	5.55	5.51	24.38
812	vit_base_patch16_reg8_gap_256	256	1024.0	1115.77	917.744	22.6	22.09	86.62
813	fastvit_sa24	256	1024.0	1114.43	918.841	3.79	23.92	21.55
814	repvgg_b3g4	224	1024.0	1113.37	919.717	17.89	15.1	83.83
815	convnext_small	288	1024.0	1110.94	921.731	14.39	35.65	50.22
816	vit_base_patch16_siglip_256	256	1024.0	1108.01	924.168	22.23	21.83	92.93
817	resnet101	288	1024.0	1104.31	927.267	12.95	26.83	44.55
818	dla102x2	224	1024.0	1104.21	927.342	9.34	29.91	41.28
819	pvt_v2_b4	224	1024.0	1101.67	929.481	9.83	48.14	62.56
820	vit_large_r50_s32_224	224	1024.0	1091.33	938.289	19.45	22.22	328.99
821	eva02_base_patch16_clip_224	224	1024.0	1090.31	939.167	16.9	18.91	86.26
822	vgg13_bn	224	1024.0	1090.15	939.306	11.33	12.25	133.05
823	resnet152d	256	1024.0	1089.57	939.806	15.41	30.51	60.21
824	nf_regnet_b4	384	1024.0	1089.51	939.86	4.7	28.61	30.21
825	efficientnet_b3_g8_gn	320	768.0	1085.43	707.541	3.2	28.83	14.25
826	vit_small_r26_s32_384	384	1024.0	1083.82	944.797	10.24	27.67	36.47
827	efficientvit_l2	288	1024.0	1083.69	944.906	11.51	32.19	63.71
828	efficientnetv2_s	384	1024.0	1081.44	946.869	8.44	35.77	21.46
829	tf_efficientnet_lite4	380	384.0	1073.72	357.628	4.04	45.66	13.01
830	pvt_v2_b5	224	1024.0	1068.28	958.536	11.39	44.23	81.96
831	hrnet_w18_ssld	288	1024.0	1066.01	960.575	7.14	26.96	21.3
832	tf_efficientnetv2_s	384	1024.0	1054.1	971.431	8.44	35.77	21.46
833	regnety_160	224	1024.0	1046.76	978.242	15.96	23.04	83.59
834	samvit_base_patch16_224	224	1024.0	1027.37	996.713	16.83	17.2	86.46
835	convnext_tiny	384	768.0	1026.31	748.299	13.14	39.48	28.59
836	wide_resnet50_2	288	1024.0	1025.91	998.129	18.89	23.81	68.88
837	efficientnetv2_rw_s	384	1024.0	1024.66	999.343	8.72	38.03	23.94
838	vgg16	224	1024.0	1020.44	1003.475	15.47	13.56	138.36
839	cs3se_edgenet_x	320	1024.0	1009.45	1014.397	18.01	20.21	50.72
840	vit_base_patch16_plus_240	240	1024.0	1002.7	1021.234	26.31	22.07	117.56
841	swinv2_cr_small_224	224	1024.0	1001.72	1022.232	9.07	50.27	49.7
842	dpn98	224	1024.0	998.61	1025.406	11.73	25.2	61.57
843	efficientvit_b3	288	768.0	996.43	770.744	6.58	44.2	48.65
844	resnetaa101d	288	1024.0	996.18	1027.911	15.07	29.03	44.57
845	wide_resnet101_2	224	1024.0	994.0	1030.164	22.8	21.23	126.89
846	regnetz_d32	320	1024.0	994.0	1030.165	9.33	37.08	27.58
847	swinv2_cr_small_ns_224	224	1024.0	991.13	1033.149	9.08	50.27	49.7
848	focalnet_base_srf	224	1024.0	990.91	1033.385	15.28	35.01	88.15
849	convnextv2_small	224	1024.0	989.67	1034.674	8.71	21.56	50.32
850	resnet200	224	1024.0	987.28	1037.18	15.07	32.19	64.67
851	convnextv2_tiny	288	768.0	983.87	780.578	7.39	22.21	28.64
852	seresnet101	288	1024.0	983.64	1041.016	12.95	26.87	49.33
853	vit_small_patch8_224	224	1024.0	981.8	1042.968	16.76	32.86	21.67
854	regnetz_d8	320	1024.0	980.9	1043.922	6.19	37.08	23.37
855	regnety_080	288	1024.0	977.86	1047.177	13.22	29.69	39.18
856	inception_next_base	224	1024.0	977.1	1047.988	14.85	25.69	86.67
857	vit_base_r50_s16_224	224	1024.0	974.47	1050.816	20.94	27.88	97.89
858	resnest101e	256	1024.0	968.0	1057.838	13.38	28.66	48.28
859	convnext_base	256	1024.0	965.93	1060.101	20.09	37.55	88.59
860	regnetz_c16_evos	256	768.0	965.5	795.429	2.48	16.57	13.49
861	regnetz_040	320	512.0	964.02	531.096	6.35	37.78	27.12
862	poolformer_m36	224	1024.0	963.9	1062.337	8.8	22.02	56.17
863	regnetz_b16_evos	288	768.0	961.28	798.923	2.36	16.43	9.74
864	inception_resnet_v2	299	1024.0	958.82	1067.962	13.18	25.06	55.84
865	regnetz_040_h	320	512.0	958.46	534.182	6.43	37.94	28.94
866	seresnet152d	256	1024.0	956.44	1070.629	15.42	30.56	66.84
867	ecaresnet101d	288	1024.0	951.62	1076.05	13.35	28.19	44.57
868	regnety_064	288	1024.0	949.24	1078.741	10.56	27.11	30.58
869	resnetrs152	256	1024.0	948.32	1079.798	15.59	30.83	86.62
870	resnext101_64x4d	224	1024.0	947.79	1080.397	15.52	31.21	83.46
871	regnetv_064	288	1024.0	947.23	1081.038	10.55	27.11	30.58
872	xception65p	299	512.0	944.43	542.118	13.91	52.48	39.82
873	resnetblur101d	288	1024.0	942.52	1086.438	15.07	29.65	44.57
874	resnetrs101	288	1024.0	941.79	1087.277	13.56	28.53	63.62
875	focalnet_base_lrf	224	1024.0	941.31	1087.831	15.43	38.13	88.75
876	resnext101_32x8d	224	1024.0	939.44	1090.002	16.48	31.21	88.79
877	repvgg_b3	224	1024.0	933.91	1096.448	29.16	15.1	123.09
878	hrnet_w40	224	1024.0	931.96	1098.75	12.75	25.29	57.56
879	nfnet_f1	224	1024.0	924.88	1107.159	17.87	22.94	132.63
880	eva02_small_patch14_336	336	1024.0	923.99	1108.223	12.41	27.7	22.13
881	resnet101d	320	1024.0	923.18	1109.193	16.48	34.77	44.57
882	xcit_tiny_24_p16_384	384	1024.0	910.96	1124.082	6.87	34.29	12.12
883	efficientnet_b4	384	384.0	908.88	422.486	4.51	50.04	19.34
884	cait_s24_224	224	1024.0	904.24	1132.424	9.35	40.58	46.92
885	mobilevitv2_150	384	256.0	899.17	284.697	9.2	54.25	10.59
886	maxvit_rmlp_small_rw_224	224	768.0	898.81	854.449	10.48	42.44	64.9
887	coat_mini	224	1024.0	894.78	1144.406	6.82	33.68	10.34
888	coat_lite_medium	224	1024.0	892.4	1147.459	9.81	40.06	44.57
889	efficientnetv2_m	320	1024.0	889.26	1151.505	11.01	39.97	54.14
890	seresnext101_64x4d	224	1024.0	888.73	1152.196	15.53	31.25	88.23
891	gmlp_b16_224	224	1024.0	884.5	1157.706	15.78	30.21	73.08
892	seresnext101_32x8d	224	1024.0	883.56	1158.934	16.48	31.25	93.57
893	swin_s3_small_224	224	768.0	879.87	872.841	9.43	37.84	49.74
894	vit_relpos_base_patch16_plus_240	240	1024.0	875.04	1170.215	26.21	23.41	117.38
895	efficientformer_l7	224	1024.0	873.11	1172.808	10.17	24.45	82.23
896	nest_base	224	1024.0	870.02	1176.974	16.71	30.51	67.72
897	poolformerv2_s36	224	1024.0	869.16	1178.141	5.01	15.82	30.79
898	maxvit_small_tf_224	224	512.0	868.0	589.85	11.39	46.31	68.93
899	seresnext101d_32x8d	224	1024.0	866.35	1181.949	16.72	32.05	93.59
900	nest_base_jx	224	1024.0	862.67	1187.001	16.71	30.51	67.72
901	levit_384_s8	224	512.0	854.68	599.045	9.98	35.86	39.12
902	regnetz_e8	256	1024.0	853.36	1199.952	9.91	40.94	57.7
903	swin_base_patch4_window7_224	224	1024.0	852.78	1200.762	15.47	36.63	87.77
904	coatnet_2_rw_224	224	512.0	852.23	600.767	14.55	39.37	73.87
905	tf_efficientnet_b4	380	384.0	851.5	450.956	4.49	49.49	19.34
906	gcvit_small	224	1024.0	841.82	1216.401	8.57	41.61	51.09
907	convnextv2_nano	384	512.0	841.68	608.3	7.22	24.61	15.62
908	resnetv2_50d_evos	288	1024.0	840.21	1218.735	7.15	19.7	25.59
909	levit_conv_384_s8	224	512.0	839.77	609.68	9.98	35.86	39.12
910	xception65	299	512.0	839.39	609.953	13.96	52.48	39.92
911	hrnet_w44	224	1024.0	835.38	1225.779	14.94	26.92	67.06
912	crossvit_15_dagger_408	408	1024.0	833.7	1228.252	16.07	37.0	28.5
913	tiny_vit_21m_384	384	512.0	827.46	618.747	11.94	46.84	21.23
914	twins_svt_large	224	1024.0	824.23	1242.353	14.84	27.23	99.27
915	seresnextaa101d_32x8d	224	1024.0	820.77	1247.602	17.25	34.16	93.59
916	xcit_medium_24_p16_224	224	1024.0	820.51	1247.988	16.13	31.71	84.4
917	eva02_base_patch14_224	224	1024.0	819.51	1249.51	22.0	24.67	85.76
918	coatnet_rmlp_2_rw_224	224	512.0	814.13	628.885	14.64	44.94	73.88
919	hrnet_w48_ssld	224	1024.0	812.33	1260.551	17.34	28.56	77.47
920	hrnet_w48	224	1024.0	811.26	1262.228	17.34	28.56	77.47
921	caformer_s36	224	1024.0	810.13	1263.986	7.55	29.29	39.3
922	tresnet_m	448	1024.0	809.9	1264.343	22.99	29.21	31.39
923	resnet200d	256	1024.0	803.17	1274.938	20.0	43.09	64.69
924	sequencer2d_l	224	1024.0	802.78	1275.557	9.74	22.12	54.3
925	maxxvit_rmlp_small_rw_256	256	768.0	801.57	958.106	14.21	47.76	66.01
926	swinv2_base_window12_192	192	1024.0	799.54	1280.724	11.9	39.72	109.28
927	dm_nfnet_f1	224	1024.0	798.67	1282.118	17.87	22.94	132.63
928	coatnet_2_224	224	512.0	796.89	642.486	15.94	42.41	74.68
929	vit_medium_patch16_gap_384	384	1024.0	795.07	1287.922	22.01	32.15	39.03
930	mvitv2_base_cls	224	1024.0	791.15	1294.298	10.23	40.65	65.44
931	mvitv2_base	224	1024.0	785.87	1303.007	10.16	40.5	51.47
932	efficientnetv2_rw_m	320	1024.0	785.27	1303.997	12.72	47.14	53.24
933	resnet152	288	1024.0	781.77	1309.827	19.11	37.28	60.19
934	swinv2_tiny_window16_256	256	512.0	775.64	660.087	6.68	39.02	28.35
935	fastvit_sa36	256	1024.0	768.44	1332.545	5.62	34.02	31.53
936	xcit_small_12_p16_384	384	1024.0	764.7	1339.074	14.14	36.5	26.25
937	convnext_base	288	1024.0	763.36	1341.427	25.43	47.53	88.59
938	convformer_s36	224	1024.0	754.92	1356.424	7.67	30.5	40.01
939	regnety_120	288	768.0	738.36	1040.13	20.06	35.34	51.82
940	swinv2_small_window8_256	256	1024.0	737.99	1387.548	11.58	40.14	49.73
941	dpn131	224	1024.0	732.6	1397.744	16.09	32.97	79.25
942	swinv2_cr_small_ns_256	256	1024.0	731.79	1399.291	12.07	76.21	49.7
943	mobilevitv2_175	384	256.0	731.75	349.838	12.47	63.29	14.25
944	convit_base	224	1024.0	730.43	1401.91	17.52	31.77	86.54
945	resnetv2_50x1_bit	448	512.0	729.61	701.734	16.62	44.46	25.55
946	poolformer_m48	224	1024.0	727.01	1408.491	11.59	29.17	73.47
947	maxvit_rmlp_small_rw_256	256	768.0	724.69	1059.745	13.69	55.48	64.9
948	tnt_b_patch16_224	224	1024.0	721.67	1418.912	14.09	39.01	65.41
949	eca_nfnet_l1	320	1024.0	720.22	1421.77	14.92	34.42	41.41
950	swinv2_cr_base_224	224	1024.0	716.89	1428.383	15.86	59.66	87.88
951	swin_s3_base_224	224	1024.0	715.81	1430.534	13.69	48.26	71.13
952	volo_d2_224	224	1024.0	711.4	1439.408	14.34	41.34	58.68
953	swinv2_cr_base_ns_224	224	1024.0	711.07	1440.068	15.86	59.66	87.88
954	convnextv2_base	224	768.0	708.71	1083.64	15.38	28.75	88.72
955	densenet264d	224	1024.0	697.85	1467.348	13.57	14.0	72.74
956	ecaresnet200d	256	1024.0	697.3	1468.506	20.0	43.15	64.69
957	seresnet200d	256	1024.0	696.92	1469.301	20.01	43.15	71.86
958	nf_regnet_b5	384	1024.0	694.76	1473.879	7.95	42.9	49.74
959	seresnet152	288	1024.0	693.47	1476.616	19.11	37.34	66.82
960	resnetrs200	256	1024.0	693.26	1477.057	20.18	43.42	93.21
961	coat_small	224	1024.0	689.68	1484.732	12.61	44.25	21.69
962	convnext_large	224	1024.0	686.69	1491.207	34.4	43.13	197.77
963	xcit_tiny_24_p8_224	224	1024.0	684.2	1496.615	9.21	45.38	12.11
964	efficientvit_l3	224	1024.0	667.4	1534.307	27.62	39.16	246.04
965	dpn107	224	1024.0	666.43	1536.527	18.38	33.46	86.92
966	resnet152d	320	1024.0	664.6	1540.768	24.08	47.67	60.21
967	senet154	224	1024.0	664.59	1540.791	20.77	38.69	115.09
968	legacy_senet154	224	1024.0	663.62	1543.045	20.77	38.69	115.09
969	efficientformerv2_s2	224	1024.0	658.11	1555.962	1.27	11.77	12.71
970	maxxvitv2_rmlp_base_rw_224	224	768.0	650.48	1180.654	23.88	54.39	116.09
971	xcit_nano_12_p8_384	384	1024.0	649.92	1575.56	6.34	46.06	3.05
972	xception71	299	512.0	649.47	788.325	18.09	69.92	42.34
973	vit_large_patch32_384	384	1024.0	643.51	1591.268	44.28	32.22	306.63
974	mobilevitv2_200	384	256.0	640.82	399.48	16.24	72.34	18.45
975	davit_large	224	1024.0	630.01	1625.361	34.37	55.08	196.81
976	hrnet_w64	224	1024.0	629.26	1627.299	28.97	35.09	128.06
977	convnext_small	384	768.0	628.81	1221.341	25.58	63.37	50.22
978	regnetz_d8_evos	256	1024.0	626.83	1633.604	4.5	24.92	23.46
979	regnety_160	288	768.0	626.54	1225.759	26.37	38.07	83.59
980	convnext_base	320	768.0	617.04	1244.641	31.39	58.68	88.59
981	fastvit_ma36	256	1024.0	615.75	1662.995	7.85	40.39	44.07
982	tf_efficientnetv2_m	384	1024.0	614.24	1667.09	15.85	57.52	54.14
983	gcvit_base	224	1024.0	612.92	1670.669	14.87	55.48	90.32
984	regnety_320	224	1024.0	612.34	1672.272	32.34	30.26	145.05
985	efficientvit_l2	384	768.0	610.03	1258.949	20.45	57.01	63.71
986	poolformerv2_m36	224	1024.0	609.2	1680.886	8.81	22.02	56.08
987	regnetz_c16_evos	320	512.0	608.23	841.78	3.86	25.88	13.49
988	resnetv2_50x3_bit	224	768.0	585.49	1311.719	37.06	33.34	217.32
989	seresnet152d	320	1024.0	585.32	1749.453	24.09	47.72	66.84
990	xcit_small_12_p8_224	224	1024.0	584.75	1751.159	18.69	47.19	26.21
991	resnet200	288	1024.0	584.49	1751.952	24.91	53.21	64.67
992	resnetrs152	320	1024.0	580.71	1763.336	24.34	48.14	86.62
993	caformer_m36	224	1024.0	580.7	1763.373	12.75	40.61	56.2
994	resnext101_64x4d	288	1024.0	579.65	1766.578	25.66	51.59	83.46
995	levit_conv_512_s8	224	256.0	579.33	441.879	21.82	52.28	74.05
996	crossvit_18_dagger_408	408	1024.0	578.67	1769.56	25.31	49.38	44.61
997	levit_512_s8	224	256.0	564.15	453.77	21.82	52.28	74.05
998	convnextv2_tiny	384	384.0	553.95	693.189	13.14	39.48	28.64
999	convformer_m36	224	1024.0	546.86	1872.507	12.89	42.05	57.05
1000	efficientnet_b5	416	256.0	546.68	468.268	8.27	80.68	30.39
1001	seresnet269d	256	1024.0	545.35	1877.679	26.59	53.6	113.67
1002	efficientvit_l3	256	768.0	542.99	1414.373	36.06	50.98	246.04
1003	seresnext101_32x8d	288	1024.0	537.9	1903.669	27.24	51.63	93.57
1004	efficientnetv2_m	416	1024.0	531.24	1927.549	18.6	67.5	54.14
1005	resnetrs270	256	1024.0	529.33	1934.515	27.06	55.84	129.86
1006	maxvit_rmlp_base_rw_224	224	768.0	529.1	1451.502	22.63	79.3	116.14
1007	swinv2_base_window8_256	256	1024.0	528.71	1936.775	20.37	52.59	87.92
1008	regnetz_e8	320	768.0	528.46	1453.264	15.46	63.94	57.7
1009	seresnext101d_32x8d	288	1024.0	527.36	1941.726	27.64	52.95	93.59
1010	convnext_large_mlp	256	768.0	525.72	1460.834	44.94	56.33	200.13
1011	nfnet_f2	256	1024.0	524.14	1953.657	33.76	41.85	193.78
1012	halonet_h1	256	256.0	522.84	489.621	3.0	51.17	8.1
1013	regnetx_320	224	1024.0	522.6	1959.408	31.81	36.3	107.81
1014	mixer_l16_224	224	1024.0	520.22	1968.376	44.6	41.69	208.2
1015	resnext101_32x16d	224	1024.0	519.8	1969.975	36.27	51.18	194.03
1016	eca_nfnet_l2	320	1024.0	509.51	2009.758	20.95	47.43	56.72
1017	ecaresnet200d	288	1024.0	503.74	2032.793	25.31	54.59	64.69
1018	seresnet200d	288	1024.0	503.36	2034.329	25.32	54.6	71.86
1019	caformer_s18	384	512.0	501.38	1021.162	11.45	44.61	26.34
1020	volo_d3_224	224	1024.0	497.87	2056.757	20.78	60.09	86.33
1021	resnet200d	320	1024.0	493.82	2073.621	31.25	67.33	64.69
1022	swin_large_patch4_window7_224	224	768.0	492.35	1559.852	34.53	54.94	196.53
1023	vit_base_patch16_18x2_224	224	1024.0	492.32	2079.918	50.37	49.17	256.73
1024	deit_base_patch16_384	384	1024.0	491.82	2082.046	49.4	48.3	86.86
1025	vit_base_patch16_clip_384	384	1024.0	491.74	2082.405	49.41	48.3	86.86
1026	vit_base_patch16_384	384	1024.0	491.42	2083.727	49.4	48.3	86.86
1027	deit_base_distilled_patch16_384	384	1024.0	491.32	2084.164	49.49	48.39	87.63
1028	hrnet_w48_ssld	288	1024.0	490.92	2085.876	28.66	47.21	77.47
1029	eva_large_patch14_196	196	1024.0	490.45	2087.863	59.66	43.77	304.14
1030	maxvit_base_tf_224	224	512.0	488.88	1047.285	23.52	81.67	119.47
1031	efficientnet_b5	448	256.0	488.83	523.691	9.59	93.56	30.39
1032	vit_large_patch16_224	224	1024.0	488.5	2096.219	59.7	43.77	304.33
1033	swinv2_small_window16_256	256	512.0	486.59	1052.215	12.82	66.29	49.73
1034	swinv2_large_window12_192	192	768.0	485.58	1581.6	26.17	56.53	228.77
1035	convformer_s18	384	512.0	484.08	1057.663	11.63	46.49	26.77
1036	seresnextaa101d_32x8d	288	1024.0	479.96	2133.497	28.51	56.44	93.59
1037	coatnet_3_rw_224	224	256.0	478.44	535.067	32.63	59.07	181.81
1038	coatnet_rmlp_3_rw_224	224	256.0	477.75	535.833	32.75	64.7	165.15
1039	xcit_large_24_p16_224	224	1024.0	472.07	2169.166	35.86	47.26	189.1
1040	vit_small_patch14_dinov2	518	1024.0	469.29	2181.987	29.46	57.34	22.06
1041	deit3_base_patch16_384	384	1024.0	466.88	2193.286	49.4	48.3	86.88
1042	deit3_large_patch16_224	224	1024.0	466.56	2194.777	59.7	43.77	304.37
1043	efficientnetv2_rw_m	416	768.0	466.5	1646.281	21.49	79.62	53.24
1044	nfnet_f1	320	1024.0	466.35	2195.774	35.97	46.77	132.63
1045	nf_regnet_b5	456	768.0	464.5	1653.385	11.7	61.95	49.74
1046	coatnet_3_224	224	256.0	464.1	551.594	35.72	63.61	166.97
1047	vit_small_patch14_reg4_dinov2	518	1024.0	460.4	2224.119	29.55	57.51	22.06
1048	poolformerv2_m48	224	1024.0	459.37	2229.113	11.59	29.17	73.35
1049	beitv2_large_patch16_224	224	1024.0	452.16	2264.697	59.7	43.77	304.43
1050	beit_large_patch16_224	224	1024.0	452.15	2264.716	59.7	43.77	304.43
1051	resnetv2_101x1_bit	448	512.0	451.35	1134.365	31.65	64.93	44.54
1052	dm_nfnet_f2	256	1024.0	451.22	2269.395	33.76	41.85	193.78
1053	vit_base_patch16_siglip_384	384	1024.0	448.34	2283.991	50.0	49.11	93.18
1054	resnetv2_152x2_bit	224	1024.0	441.5	2319.35	46.95	45.11	236.34
1055	convnext_xlarge	224	768.0	435.62	1762.988	60.98	57.5	350.2
1056	maxvit_tiny_tf_384	384	256.0	434.99	588.503	16.0	94.22	30.98
1057	efficientformerv2_l	224	1024.0	431.02	2375.769	2.59	18.54	26.32
1058	convnext_base	384	512.0	430.72	1188.698	45.21	84.49	88.59
1059	convnextv2_base	288	512.0	429.59	1191.832	25.43	47.53	88.72
1060	resnetrs200	320	1024.0	428.05	2392.217	31.51	67.81	93.21
1061	flexivit_large	240	1024.0	424.67	2411.279	68.48	50.22	304.36
1062	convnextv2_large	224	512.0	423.49	1208.977	34.4	43.13	197.96
1063	xcit_tiny_12_p8_384	384	1024.0	423.2	2419.661	14.12	69.12	6.71
1064	swinv2_cr_large_224	224	768.0	422.05	1819.675	35.1	78.42	196.68
1065	caformer_b36	224	768.0	419.19	1832.111	22.5	54.14	98.75
1066	swinv2_cr_tiny_384	384	256.0	419.04	610.909	15.34	161.01	28.33
1067	tf_efficientnet_b5	456	256.0	418.1	612.278	10.46	98.86	30.39
1068	convnext_large	288	512.0	415.42	1232.482	56.87	71.29	197.77
1069	davit_huge	224	512.0	410.45	1247.402	60.93	73.44	348.92
1070	maxxvitv2_rmlp_large_rw_224	224	768.0	409.41	1875.861	43.69	75.4	215.42
1071	tiny_vit_21m_512	512	384.0	408.26	940.575	21.23	83.26	21.27
1072	xcit_small_24_p16_384	384	1024.0	408.08	2509.308	26.72	68.57	47.67
1073	tf_efficientnetv2_m	480	768.0	405.02	1896.185	24.76	89.84	54.14
1074	tresnet_l	448	1024.0	403.56	2537.407	43.59	47.56	55.99
1075	beit_base_patch16_384	384	1024.0	401.76	2548.786	49.4	48.3	86.74
1076	convformer_b36	224	768.0	396.81	1935.431	22.69	56.06	99.88
1077	regnetz_d8_evos	320	768.0	395.82	1940.285	7.03	38.92	23.46
1078	seresnextaa101d_32x8d	320	1024.0	395.0	2592.386	35.19	69.67	93.59
1079	seresnet269d	288	1024.0	393.84	2600.059	33.65	67.81	113.67
1080	dm_nfnet_f1	320	1024.0	393.6	2601.642	35.97	46.77	132.63
1081	regnety_160	384	384.0	378.47	1014.589	46.87	67.67	83.59
1082	vit_large_r50_s32_384	384	1024.0	372.96	2745.589	56.4	64.88	329.09
1083	regnety_640	224	768.0	362.45	2118.906	64.16	42.5	281.38
1084	eca_nfnet_l2	384	768.0	361.66	2123.504	30.05	68.28	56.72
1085	vit_large_patch14_224	224	1024.0	359.79	2846.069	77.83	57.11	304.2
1086	vit_large_patch14_clip_224	224	1024.0	359.08	2851.744	77.83	57.11	304.2
1087	swinv2_base_window12to16_192to256	256	384.0	358.35	1071.569	22.02	84.71	87.92
1088	swinv2_base_window16_256	256	384.0	358.25	1071.869	22.02	84.71	87.92
1089	vit_large_patch16_siglip_256	256	1024.0	351.53	2912.942	78.12	57.42	315.96
1090	vit_base_patch8_224	224	1024.0	350.95	2917.813	66.87	65.71	86.58
1091	efficientvit_l3	320	512.0	346.1	1479.341	56.32	79.34	246.04
1092	efficientnetv2_l	384	1024.0	342.83	2986.92	36.1	101.16	118.52
1093	tf_efficientnetv2_l	384	1024.0	338.97	3020.897	36.1	101.16	118.52
1094	ecaresnet269d	320	1024.0	337.13	3037.39	41.53	83.69	102.09
1095	resnest200e	320	1024.0	336.33	3044.627	35.69	82.78	70.2
1096	maxvit_large_tf_224	224	384.0	336.26	1141.954	42.99	109.57	211.79
1097	convnext_large_mlp	320	512.0	336.03	1523.669	70.21	88.02	200.13
1098	inception_next_base	384	512.0	335.9	1524.27	43.64	75.48	86.67
1099	resnetv2_101x3_bit	224	768.0	334.56	2295.509	71.23	48.7	387.93
1100	eca_nfnet_l3	352	768.0	328.62	2337.043	32.57	73.12	72.04
1101	vit_large_patch14_clip_quickgelu_224	224	1024.0	324.15	3159.023	77.83	57.11	303.97
1102	repvgg_d2se	320	1024.0	320.2	3197.943	74.57	46.82	133.33
1103	vit_base_r50_s16_384	384	1024.0	317.01	3230.175	61.29	81.77	98.95
1104	volo_d4_224	224	1024.0	317.0	3230.22	44.34	80.22	192.96
1105	volo_d1_384	384	512.0	314.1	1630.023	22.75	108.55	26.78
1106	vit_large_patch14_xp_224	224	1024.0	309.84	3304.92	77.77	57.11	304.06
1107	convmixer_768_32	224	1024.0	308.6	3318.227	19.55	25.95	21.11
1108	xcit_small_24_p8_224	224	1024.0	305.72	3349.464	35.81	90.77	47.63
1109	resnetrs350	288	1024.0	304.48	3363.098	43.67	87.09	163.96
1110	nasnetalarge	331	384.0	300.79	1276.642	23.89	90.56	88.75
1111	coat_lite_medium_384	384	512.0	299.62	1708.831	28.73	116.7	44.57
1112	tresnet_xl	448	768.0	296.15	2593.304	60.77	61.31	78.44
1113	maxvit_small_tf_384	384	192.0	288.16	666.295	33.58	139.86	69.02
1114	pnasnet5large	331	384.0	287.26	1336.778	25.04	92.89	86.06
1115	xcit_medium_24_p16_384	384	1024.0	282.76	3621.451	47.39	91.63	84.4
1116	ecaresnet269d	352	1024.0	281.17	3641.867	50.25	101.25	102.09
1117	coatnet_4_224	224	256.0	280.04	914.128	60.81	98.85	275.43
1118	cait_xxs24_384	384	1024.0	277.04	3696.16	9.63	122.65	12.03
1119	coatnet_rmlp_2_rw_384	384	192.0	273.87	701.059	43.04	132.57	73.88
1120	resnetrs270	352	1024.0	271.91	3765.914	51.13	105.48	129.86
1121	nfnet_f2	352	768.0	270.88	2835.244	63.22	79.06	193.78
1122	caformer_s36	384	512.0	266.29	1922.686	22.2	86.08	39.3
1123	convnext_xlarge	288	512.0	263.75	1941.25	100.8	95.05	350.2
1124	swinv2_cr_small_384	384	256.0	258.42	990.618	29.7	298.03	49.7
1125	efficientnet_b6	528	128.0	257.57	496.944	19.4	167.39	43.04
1126	convformer_s36	384	512.0	257.36	1989.401	22.54	89.62	40.01
1127	convnextv2_large	288	256.0	256.91	996.448	56.87	71.29	197.96
1128	eva02_large_patch14_224	224	1024.0	256.79	3987.739	77.9	65.52	303.27
1129	eva02_large_patch14_clip_224	224	1024.0	253.51	4039.312	77.93	65.52	304.11
1130	resnext101_32x32d	224	512.0	253.0	2023.672	87.29	91.12	468.53
1131	maxvit_tiny_tf_512	512	192.0	249.39	769.864	28.66	172.66	31.05
1132	tf_efficientnet_b6	528	128.0	247.44	517.29	19.4	167.39	43.04
1133	nfnet_f3	320	1024.0	247.37	4139.575	68.77	83.93	254.92
1134	mvitv2_large_cls	224	768.0	246.55	3114.926	42.17	111.69	234.58
1135	vit_so400m_patch14_siglip_224	224	1024.0	246.49	4154.292	106.18	70.45	427.68
1136	efficientnetv2_xl	384	1024.0	244.46	4188.739	52.81	139.2	208.12
1137	mvitv2_large	224	512.0	242.6	2110.485	43.87	112.02	217.99
1138	convnextv2_base	384	256.0	242.26	1056.699	45.21	84.49	88.72
1139	vit_base_patch16_siglip_512	512	512.0	241.2	2122.705	88.89	87.3	93.52
1140	convnext_large	384	384.0	234.69	1636.209	101.1	126.74	197.77
1141	convnext_large_mlp	384	384.0	234.65	1636.476	101.11	126.74	200.13
1142	dm_nfnet_f2	352	768.0	234.38	3276.685	63.22	79.06	193.78
1143	tf_efficientnetv2_xl	384	1024.0	230.18	4448.679	52.81	139.2	208.12
1144	efficientnetv2_l	480	512.0	229.94	2226.68	56.4	157.99	118.52
1145	tf_efficientnetv2_l	480	512.0	227.38	2251.742	56.4	157.99	118.52
1146	swin_base_patch4_window12_384	384	256.0	226.65	1129.483	47.19	134.78	87.9
1147	regnety_320	384	384.0	225.95	1699.504	95.0	88.87	145.05
1148	resnetrs420	320	1024.0	221.8	4616.729	64.2	126.56	191.89
1149	xcit_tiny_24_p8_384	384	1024.0	221.03	4632.753	27.05	132.94	12.11
1150	efficientvit_l3	384	384.0	220.15	1744.25	81.08	114.02	246.04
1151	swinv2_large_window12to16_192to256	256	256.0	218.91	1169.41	47.81	121.53	196.74
1152	maxxvitv2_rmlp_base_rw_384	384	384.0	215.87	1778.825	70.18	160.22	116.09
1153	resmlp_big_24_224	224	1024.0	214.65	4770.604	100.23	87.31	129.14
1154	dm_nfnet_f3	320	1024.0	212.33	4822.62	68.77	83.93	254.92
1155	volo_d5_224	224	1024.0	212.3	4823.349	72.4	118.11	295.46
1156	xcit_medium_24_p8_224	224	1024.0	210.35	4868.038	63.52	121.22	84.32
1157	seresnextaa201d_32x8d	320	1024.0	207.05	4945.752	70.22	138.71	149.39
1158	eca_nfnet_l3	448	512.0	204.74	2500.737	52.55	118.4	72.04
1159	xcit_small_12_p8_384	384	512.0	195.78	2615.134	54.92	138.25	26.21
1160	cait_xs24_384	384	768.0	193.45	3970.037	19.28	183.98	26.67
1161	caformer_m36	384	256.0	191.51	1336.728	37.45	119.33	56.2
1162	focalnet_huge_fl3	224	384.0	190.45	2016.221	118.26	104.8	745.28
1163	eva02_base_patch14_448	448	512.0	189.13	2707.053	87.74	98.4	87.12
1164	maxvit_xlarge_tf_224	224	256.0	188.97	1354.682	96.49	164.37	506.99
1165	convformer_m36	384	384.0	186.96	2053.847	37.87	123.56	57.05
1166	cait_xxs36_384	384	1024.0	185.14	5531.038	14.35	183.7	17.37
1167	swinv2_cr_base_384	384	256.0	184.66	1386.338	50.57	333.68	87.88
1168	resnetrs350	384	1024.0	184.39	5553.562	77.59	154.74	163.96
1169	regnety_1280	224	512.0	182.89	2799.45	127.66	71.58	644.81
1170	swinv2_cr_huge_224	224	384.0	181.27	2118.357	115.97	121.08	657.83
1171	vit_huge_patch14_clip_224	224	1024.0	179.25	5712.71	161.99	95.07	632.05
1172	vit_huge_patch14_224	224	1024.0	179.24	5713.082	161.99	95.07	630.76
1173	volo_d2_384	384	384.0	177.67	2161.247	46.17	184.51	58.87
1174	maxvit_rmlp_base_rw_384	384	384.0	177.21	2166.875	66.51	233.79	116.14
1175	vit_base_patch14_dinov2	518	512.0	175.93	2910.275	117.11	114.68	86.58
1176	vit_huge_patch14_gap_224	224	1024.0	175.35	5839.715	161.36	94.7	630.76
1177	vit_base_patch14_reg4_dinov2	518	512.0	175.34	2920.066	117.45	115.02	86.58
1178	convnextv2_huge	224	256.0	174.19	1469.676	115.0	79.07	660.29
1179	deit3_huge_patch14_224	224	1024.0	172.49	5936.531	161.99	95.07	632.13
1180	convmixer_1536_20	224	1024.0	172.27	5944.074	48.68	33.03	51.63
1181	vit_huge_patch14_clip_quickgelu_224	224	1024.0	165.12	6201.386	161.99	95.07	632.08
1182	maxvit_small_tf_512	512	96.0	163.95	585.546	60.02	256.36	69.13
1183	maxvit_base_tf_384	384	192.0	162.75	1179.72	69.34	247.75	119.65
1184	xcit_large_24_p16_384	384	1024.0	162.01	6320.659	105.34	137.15	189.1
1185	resnetv2_152x2_bit	384	384.0	160.06	2399.153	136.16	132.56	236.34
1186	vit_huge_patch14_xp_224	224	1024.0	159.21	6431.544	161.88	95.07	631.8
1187	resnest269e	416	512.0	159.04	3219.278	77.69	171.98	110.93
1188	eva_large_patch14_336	336	768.0	155.41	4941.906	174.74	128.21	304.53
1189	vit_large_patch14_clip_336	336	768.0	155.09	4951.819	174.74	128.21	304.53
1190	vit_large_patch16_384	384	768.0	154.94	4956.737	174.85	128.21	304.72
1191	convnext_xxlarge	256	384.0	152.35	2520.42	198.09	124.45	846.47
1192	davit_giant	224	384.0	151.56	2533.626	192.34	138.2	1406.47
1193	resnetv2_50x3_bit	448	192.0	150.44	1276.251	145.7	133.37	217.32
1194	coatnet_5_224	224	192.0	149.61	1283.336	142.72	143.69	687.47
1195	efficientnetv2_xl	512	512.0	149.15	3432.877	93.85	247.32	208.12
1196	cait_s24_384	384	512.0	148.91	3438.219	32.17	245.3	47.06
1197	convnext_xlarge	384	256.0	148.61	1722.573	179.2	168.99	350.2
1198	tf_efficientnetv2_xl	512	512.0	148.0	3459.525	93.85	247.32	208.12
1199	efficientnet_b7	600	96.0	147.91	649.053	38.33	289.94	66.35
1200	deit3_large_patch16_384	384	1024.0	147.79	6928.856	174.85	128.21	304.76
1201	seresnextaa201d_32x8d	384	768.0	147.05	5222.537	101.11	199.72	149.39
1202	nfnet_f3	416	512.0	146.71	3489.974	115.58	141.78	254.92
1203	vit_giant_patch16_gap_224	224	1024.0	145.38	7043.632	198.14	103.64	1011.37
1204	convnextv2_large	384	192.0	144.92	1324.86	101.1	126.74	197.96
1205	resnetv2_152x4_bit	224	512.0	144.91	3533.266	186.9	90.22	936.53
1206	vit_large_patch16_siglip_384	384	768.0	144.23	5324.878	175.76	129.18	316.28
1207	tf_efficientnet_b7	600	96.0	143.48	669.058	38.33	289.94	66.35
1208	nfnet_f4	384	768.0	142.67	5383.101	122.14	147.57	316.07
1209	vit_large_patch14_clip_quickgelu_336	336	768.0	140.95	5448.604	174.74	128.21	304.29
1210	caformer_b36	384	256.0	138.42	1849.458	66.12	159.11	98.75
1211	swin_large_patch4_window12_384	384	128.0	135.49	944.717	104.08	202.16	196.74
1212	convformer_b36	384	256.0	135.29	1892.221	66.67	164.75	99.88
1213	resnetrs420	416	1024.0	130.11	7870.213	108.45	213.79	191.89
1214	beit_large_patch16_384	384	768.0	129.31	5939.365	174.84	128.21	305.0
1215	dm_nfnet_f3	416	512.0	127.57	4013.328	115.58	141.78	254.92
1216	regnety_640	384	256.0	126.8	2018.836	188.47	124.83	281.38
1217	dm_nfnet_f4	384	768.0	123.05	6241.189	122.14	147.57	316.07
1218	focalnet_huge_fl4	224	512.0	122.81	4169.023	118.9	113.34	686.46
1219	xcit_large_24_p8_224	224	512.0	120.1	4263.036	141.22	181.53	188.93
1220	resnetv2_152x2_bit	448	256.0	117.91	2171.109	184.99	180.43	236.34
1221	eva_giant_patch14_224	224	1024.0	116.71	8773.739	259.74	135.89	1012.56
1222	eva_giant_patch14_clip_224	224	1024.0	116.64	8779.464	259.74	135.89	1012.59
1223	vit_giant_patch14_224	224	1024.0	114.18	8968.21	259.74	135.89	1012.61
1224	vit_giant_patch14_clip_224	224	1024.0	114.09	8975.383	259.74	135.89	1012.65
1225	swinv2_cr_large_384	384	128.0	112.81	1134.666	108.96	404.96	196.68
1226	maxvit_large_tf_384	384	128.0	111.17	1151.411	126.61	332.3	212.03
1227	eva02_large_patch14_clip_336	336	1024.0	110.28	9285.405	174.97	147.1	304.43
1228	mvitv2_huge_cls	224	384.0	107.61	3568.518	120.67	243.63	694.8
1229	convnextv2_huge	288	128.0	105.35	1214.957	190.1	130.7	660.29
1230	xcit_small_24_p8_384	384	512.0	102.73	4983.926	105.23	265.87	47.63
1231	nfnet_f5	416	512.0	100.11	5114.164	170.71	204.56	377.21
1232	cait_s36_384	384	512.0	99.61	5140.29	47.99	367.39	68.37
1233	swinv2_base_window12to24_192to384	384	96.0	96.35	996.364	55.25	280.36	87.92
1234	efficientnet_b8	672	96.0	95.78	1002.248	63.48	442.89	87.41
1235	focalnet_large_fl3	384	384.0	94.47	4064.948	105.06	168.04	239.13
1236	tf_efficientnet_b8	672	96.0	93.18	1030.252	63.48	442.89	87.41
1237	maxvit_base_tf_512	512	96.0	92.2	1041.169	123.93	456.26	119.88
1238	focalnet_large_fl4	384	256.0	90.17	2839.222	105.2	181.78	239.32
1239	resnetv2_101x3_bit	448	192.0	87.88	2184.819	280.33	194.78	387.93
1240	dm_nfnet_f5	416	512.0	86.64	5909.833	170.71	204.56	377.21
1241	nfnet_f4	512	384.0	81.51	4711.211	216.26	262.26	316.07
1242	volo_d3_448	448	192.0	76.74	2501.831	96.33	446.83	86.63
1243	vit_so400m_patch14_siglip_384	384	512.0	75.92	6743.556	302.34	200.62	428.23
1244	nfnet_f6	448	512.0	75.59	6773.482	229.7	273.62	438.36
1245	vit_huge_patch14_clip_336	336	768.0	75.49	10173.683	363.7	213.44	632.46
1246	xcit_medium_24_p8_384	384	384.0	71.15	5396.903	186.67	354.69	84.32
1247	dm_nfnet_f4	512	384.0	69.56	5520.408	216.26	262.26	316.07
1248	vit_gigantic_patch14_224	224	512.0	66.18	7736.423	473.4	204.12	1844.44
1249	vit_gigantic_patch14_clip_224	224	512.0	66.18	7735.92	473.41	204.12	1844.91
1250	focalnet_xlarge_fl3	384	256.0	66.07	3874.786	185.61	223.99	408.79
1251	dm_nfnet_f6	448	512.0	65.28	7842.994	229.7	273.62	438.36
1252	maxvit_large_tf_512	512	64.0	63.68	1005.087	225.96	611.85	212.33
1253	focalnet_xlarge_fl4	384	192.0	63.39	3028.979	185.79	242.31	409.03
1254	maxvit_xlarge_tf_384	384	96.0	63.2	1518.995	283.86	498.45	475.32
1255	regnety_1280	384	128.0	62.14	2059.919	374.99	210.2	644.81
1256	beit_large_patch16_512	512	256.0	61.47	4164.41	310.6	227.76	305.67
1257	convnextv2_huge	384	96.0	60.73	1580.79	337.96	232.35	660.29
1258	swinv2_large_window12to24_192to384	384	48.0	60.6	792.119	116.15	407.83	196.74
1259	eva02_large_patch14_448	448	512.0	59.6	8591.147	310.69	261.32	305.08
1260	tf_efficientnet_l2	475	128.0	59.14	2164.439	172.11	609.89	480.31
1261	nfnet_f5	544	384.0	58.55	6558.595	290.97	349.71	377.21
1262	vit_huge_patch14_clip_378	378	512.0	58.17	8801.788	460.13	270.04	632.68
1263	volo_d4_448	448	192.0	57.2	3356.883	197.13	527.35	193.41
1264	nfnet_f7	480	384.0	57.05	6730.663	300.08	355.86	499.5
1265	vit_large_patch14_dinov2	518	384.0	56.81	6759.458	414.89	304.42	304.37
1266	vit_large_patch14_reg4_dinov2	518	384.0	56.51	6795.142	416.1	305.31	304.37
1267	vit_huge_patch14_clip_quickgelu_378	378	384.0	53.9	7123.722	460.13	270.04	632.68
1268	swinv2_cr_giant_224	224	192.0	52.42	3662.593	483.85	309.15	2598.76
1269	dm_nfnet_f5	544	384.0	50.82	7555.977	290.97	349.71	377.21
1270	eva_giant_patch14_336	336	512.0	49.6	10322.486	583.14	305.1	1013.01
1271	swinv2_cr_huge_384	384	64.0	48.85	1310.056	352.04	583.18	657.94
1272	nfnet_f6	576	256.0	45.99	5566.397	378.69	452.2	438.36
1273	xcit_large_24_p8_384	384	256.0	40.54	6315.135	415.0	531.74	188.93
1274	volo_d5_448	448	192.0	39.97	4803.918	315.06	737.92	295.91
1275	dm_nfnet_f6	576	256.0	39.68	6452.4	378.69	452.2	438.36
1276	nfnet_f7	608	256.0	35.92	7127.91	480.39	570.85	499.5
1277	maxvit_xlarge_tf_512	512	48.0	35.73	1343.449	505.95	917.77	475.77
1278	regnety_2560	384	96.0	35.19	2728.299	747.83	296.49	1282.6
1279	convnextv2_huge	512	48.0	34.07	1408.989	600.81	413.07	660.29
1280	cait_m36_384	384	256.0	32.53	7868.895	173.11	734.79	271.22
1281	resnetv2_152x4_bit	480	128.0	32.31	3961.512	844.84	414.26	936.53
1282	volo_d5_512	512	96.0	27.94	3435.72	425.09	1105.37	296.09
1283	samvit_base_patch16	1024	12.0	23.01	521.487	371.55	403.08	89.67
1284	efficientnet_l2	800	32.0	22.53	1420.616	479.12	1707.39	480.31
1285	tf_efficientnet_l2	800	32.0	22.12	1446.454	479.12	1707.39	480.31
1286	vit_giant_patch14_dinov2	518	192.0	17.14	11200.639	1553.56	871.89	1136.48
1287	vit_giant_patch14_reg4_dinov2	518	128.0	17.05	7505.847	1558.09	874.43	1136.48
1288	swinv2_cr_giant_384	384	32.0	15.01	2131.256	1450.71	1394.86	2598.76
1289	eva_giant_patch14_560	560	192.0	15.01	12792.976	1618.04	846.56	1014.45
1290	cait_m48_448	448	128.0	13.76	9299.464	329.4	1708.21	356.46
1291	samvit_large_patch16	1024	8.0	10.25	780.237	1317.08	1055.58	308.28
1292	samvit_huge_patch16	1024	6.0	6.31	950.475	2741.59	1727.57	637.03
1293	eva02_enormous_patch14_clip_224	224				1132.46	497.58	4350.56
1294	vit_huge_patch16_gap_448	448				544.7	636.83	631.67