pytorch-image-models/results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv

1	model	infer_samples_per_sec	infer_step_time	infer_batch_size	infer_img_size	infer_gmacs	infer_macts	param_count
2	tinynet_e	49277.65	20.77	1024	106	0.03	0.69	2.04
3	mobilenetv3_small_050	45562.75	22.464	1024	224	0.03	0.92	1.59
4	lcnet_035	41026.68	24.949	1024	224	0.03	1.04	1.64
5	lcnet_050	37575.13	27.242	1024	224	0.05	1.26	1.88
6	mobilenetv3_small_075	33062.39	30.961	1024	224	0.05	1.3	2.04
7	mobilenetv3_small_100	30012.26	34.109	1024	224	0.06	1.42	2.54
8	tf_mobilenetv3_small_minimal_100	28698.14	35.672	1024	224	0.06	1.41	2.04
9	tf_mobilenetv3_small_075	27407.51	37.352	1024	224	0.05	1.3	2.04
10	tinynet_d	27236.47	37.585	1024	152	0.05	1.42	2.34
11	tf_mobilenetv3_small_100	25103.65	40.781	1024	224	0.06	1.42	2.54
12	lcnet_075	24140.95	42.406	1024	224	0.1	1.99	2.36
13	mnasnet_small	20706.43	49.443	1024	224	0.07	2.16	2.03
14	levit_128s	20595.72	49.709	1024	224	0.31	1.88	7.78
15	lcnet_100	19684.75	52.01	1024	224	0.16	2.52	2.95
16	mobilenetv2_035	18358.82	55.767	1024	224	0.07	2.86	1.68
17	regnetx_002	18244.04	56.117	1024	224	0.2	2.16	2.68
18	ghostnet_050	17564.96	58.287	1024	224	0.05	1.77	2.59
19	regnety_002	17006.07	60.202	1024	224	0.2	2.17	3.16
20	mnasnet_050	15925.32	64.29	1024	224	0.11	3.07	2.22
21	vit_tiny_r_s16_p8_224	15068.38	67.946	1024	224	0.44	2.06	6.34
22	mobilenetv2_050	14843.74	68.974	1024	224	0.1	3.64	1.97
23	tinynet_c	14634.69	69.959	1024	184	0.11	2.87	2.46
24	semnasnet_050	14248.78	71.855	1024	224	0.11	3.44	2.08
25	levit_128	14164.26	72.284	1024	224	0.41	2.71	9.21
26	vit_small_patch32_224	13811.36	74.131	1024	224	1.15	2.5	22.88
27	mixer_s32_224	13352.85	76.677	1024	224	1.0	2.28	19.1
28	cs3darknet_focus_s	12798.44	79.999	1024	256	0.69	2.7	3.27
29	lcnet_150	12783.12	80.094	1024	224	0.34	3.79	4.5
30	cs3darknet_s	12395.11	82.602	1024	256	0.72	2.97	3.28
31	regnetx_004	12366.39	82.791	1024	224	0.4	3.14	5.16
32	mobilenetv3_large_075	12001.32	85.313	1024	224	0.16	4.0	3.99
33	levit_192	11882.81	86.163	1024	224	0.66	3.2	10.95
34	resnet10t	11615.84	88.145	1024	224	1.1	2.43	5.44
35	ese_vovnet19b_slim_dw	11539.4	88.729	1024	224	0.4	5.28	1.9
36	gernet_s	11496.77	89.058	1024	224	0.75	2.65	8.17
37	mobilenetv3_rw	10873.77	94.16	1024	224	0.23	4.41	5.48
38	mobilenetv3_large_100	10705.06	95.645	1024	224	0.23	4.41	5.48
39	hardcorenas_a	10554.34	97.012	1024	224	0.23	4.38	5.26
40	tf_mobilenetv3_large_075	10511.12	97.41	1024	224	0.16	4.0	3.99
41	tf_mobilenetv3_large_minimal_100	10371.16	98.725	1024	224	0.22	4.4	3.92
42	mnasnet_075	10345.17	98.972	1024	224	0.23	4.77	3.17
43	hardcorenas_b	9695.74	105.601	1024	224	0.26	5.09	5.18
44	regnety_004	9655.22	106.046	1024	224	0.41	3.89	4.34
45	ghostnet_100	9483.99	107.96	1024	224	0.15	3.55	5.18
46	hardcorenas_c	9481.05	107.994	1024	224	0.28	5.01	5.52
47	tf_mobilenetv3_large_100	9456.79	108.271	1024	224	0.23	4.41	5.48
48	regnetx_006	9408.22	108.83	1024	224	0.61	3.98	6.2
49	mobilenetv2_075	9313.88	109.932	1024	224	0.22	5.86	2.64
50	tinynet_b	9291.99	110.191	1024	188	0.21	4.44	3.73
51	mnasnet_b1	9286.4	110.258	1024	224	0.33	5.46	4.38
52	mnasnet_100	9263.52	110.53	1024	224	0.33	5.46	4.38
53	gluon_resnet18_v1b	9078.31	112.785	1024	224	1.82	2.48	11.69
54	semnasnet_075	9069.42	112.895	1024	224	0.23	5.54	2.91
55	resnet18	9045.63	113.192	1024	224	1.82	2.48	11.69
56	ssl_resnet18	9045.4	113.196	1024	224	1.82	2.48	11.69
57	swsl_resnet18	9040.4	113.258	1024	224	1.82	2.48	11.69
58	levit_256	8921.47	114.768	1024	224	1.13	4.23	18.89
59	hardcorenas_d	8879.46	115.311	1024	224	0.3	4.93	7.5
60	regnety_006	8666.48	118.144	1024	224	0.61	4.33	6.06
61	seresnet18	8542.99	119.851	1024	224	1.82	2.49	11.78
62	mobilenetv2_100	8507.29	120.356	1024	224	0.31	6.68	3.5
63	spnasnet_100	8342.04	122.741	1024	224	0.35	6.03	4.42
64	legacy_seresnet18	8310.8	123.202	1024	224	1.82	2.49	11.78
65	semnasnet_100	8284.16	123.599	1024	224	0.32	6.23	3.89
66	mnasnet_a1	8283.57	123.607	1024	224	0.32	6.23	3.89
67	regnetx_008	7852.75	130.39	1024	224	0.81	5.15	7.26
68	hardcorenas_f	7809.07	131.117	1024	224	0.35	5.57	8.2
69	hardcorenas_e	7730.97	132.444	1024	224	0.35	5.65	8.07
70	efficientnet_lite0	7722.75	132.584	1024	224	0.4	6.74	4.65
71	levit_256d	7689.03	133.165	1024	224	1.4	4.93	26.21
72	xcit_nano_12_p16_224_dist	7674.8	133.413	1024	224	0.56	4.17	3.05
73	xcit_nano_12_p16_224	7670.11	133.492	1024	224	0.56	4.17	3.05
74	resnet18d	7636.48	134.082	1024	224	2.06	3.29	11.71
75	ghostnet_130	7625.58	134.274	1024	224	0.24	4.6	7.36
76	tf_efficientnetv2_b0	7614.25	134.473	1024	224	0.73	4.77	7.14
77	ese_vovnet19b_slim	7588.4	134.932	1024	224	1.69	3.52	3.17
78	deit_tiny_distilled_patch16_224	7449.3	137.451	1024	224	1.27	6.01	5.91
79	deit_tiny_patch16_224	7398.73	138.391	1024	224	1.26	5.97	5.72
80	vit_tiny_patch16_224	7390.78	138.538	1024	224	1.26	5.97	5.72
81	regnety_008	7366.88	138.989	1024	224	0.81	5.25	6.26
82	tinynet_a	7358.6	139.145	1024	192	0.35	5.41	6.19
83	dla46_c	7311.64	140.038	1024	224	0.58	4.5	1.3
84	fbnetc_100	7303.94	140.187	1024	224	0.4	6.51	5.57
85	mobilevitv2_050	7248.37	141.262	1024	256	0.48	8.04	1.37
86	tf_efficientnet_lite0	6816.26	150.218	1024	224	0.4	6.74	4.65
87	pit_ti_distilled_224	6788.49	150.832	1024	224	0.71	6.23	5.1
88	pit_ti_224	6762.99	151.401	1024	224	0.7	6.19	4.85
89	efficientnet_b0	6687.26	153.115	1024	224	0.4	6.75	5.29
90	visformer_tiny	6618.81	154.698	1024	224	1.27	5.72	10.32
91	rexnet_100	6608.65	154.937	1024	224	0.41	7.44	4.8
92	mnasnet_140	6580.58	155.597	1024	224	0.6	7.71	7.12
93	efficientnet_b1_pruned	6513.48	157.201	1024	240	0.4	6.21	6.33
94	rexnetr_100	6491.35	157.737	1024	224	0.43	7.72	4.88
95	mobilenetv2_110d	6395.98	160.089	1024	224	0.45	8.71	4.52
96	resnet14t	6341.58	161.462	1024	224	1.69	5.8	10.08
97	regnetz_005	6208.75	164.916	1024	224	0.52	5.86	7.12
98	dla46x_c	6145.64	166.61	1024	224	0.54	5.66	1.07
99	nf_regnet_b0	6055.0	169.104	1024	256	0.64	5.58	8.76
100	tf_efficientnet_b0	5992.76	170.862	1024	224	0.4	6.75	5.29
101	hrnet_w18_small	5908.15	173.308	1024	224	1.61	5.72	13.19
102	edgenext_xx_small	5886.07	173.957	1024	288	0.33	4.21	1.33
103	semnasnet_140	5856.63	174.833	1024	224	0.6	8.87	6.11
104	resnetblur18	5839.81	175.336	1024	224	2.34	3.39	11.69
105	ese_vovnet19b_dw	5825.11	175.779	1024	224	1.34	8.25	6.54
106	dla60x_c	5790.89	176.817	1024	224	0.59	6.01	1.32
107	mobilenetv2_140	5780.41	177.139	1024	224	0.6	9.57	6.11
108	skresnet18	5648.81	181.265	1024	224	1.82	3.24	11.96
109	mobilevit_xxs	5528.18	185.22	1024	256	0.42	8.34	1.27
110	efficientnet_b0_gn	5401.88	189.551	1024	224	0.42	6.75	5.29
111	convnext_atto	5364.13	190.886	1024	288	0.91	6.3	3.7
112	gluon_resnet34_v1b	5344.34	191.593	1024	224	3.67	3.74	21.8
113	resnet34	5335.05	191.926	1024	224	3.67	3.74	21.8
114	efficientnet_lite1	5334.12	191.959	1024	240	0.62	10.14	5.42
115	tv_resnet34	5332.7	192.011	1024	224	3.67	3.74	21.8
116	vit_base_patch32_224	5287.0	193.67	1024	224	4.41	5.01	88.22
117	vit_base_patch32_clip_224	5281.4	193.877	1024	224	4.41	5.01	88.22
118	levit_384	5276.74	194.047	1024	224	2.36	6.26	39.13
119	pit_xs_distilled_224	5241.4	195.357	1024	224	1.41	7.76	11.0
120	pit_xs_224	5237.09	195.517	1024	224	1.4	7.71	10.62
121	selecsls42	5225.99	195.932	1024	224	2.94	4.62	30.35
122	selecsls42b	5201.55	196.853	1024	224	2.98	4.62	32.46
123	gernet_m	5124.67	199.807	1024	224	3.02	5.24	21.14
124	pvt_v2_b0	5122.72	199.882	1024	224	0.57	7.99	3.67
125	tf_efficientnetv2_b1	5122.21	199.903	1024	240	1.21	7.34	8.14
126	mixnet_s	5079.84	201.57	1024	224	0.25	6.25	4.13
127	convnext_atto_ols	5062.64	202.255	1024	288	0.96	6.8	3.7
128	seresnet34	5028.88	203.611	1024	224	3.67	3.74	21.96
129	rexnetr_130	5003.96	204.626	1024	224	0.68	9.81	7.61
130	fbnetv3_b	5003.0	204.666	1024	256	0.55	9.1	8.6
131	mixer_b32_224	4982.51	205.508	1024	224	3.24	6.29	60.29
132	xcit_tiny_12_p16_224_dist	4879.26	209.853	1024	224	1.24	6.29	6.72
133	legacy_seresnet34	4875.12	210.034	1024	224	3.67	3.74	21.96
134	xcit_tiny_12_p16_224	4870.16	210.244	1024	224	1.24	6.29	6.72
135	resnet34d	4834.78	211.786	1024	224	3.91	4.54	21.82
136	tf_efficientnet_lite1	4822.03	212.348	1024	240	0.62	10.14	5.42
137	resnet26	4794.98	213.545	1024	224	2.36	7.35	16.0
138	mobilenetv2_120d	4786.27	213.934	1024	224	0.69	11.97	5.83
139	rexnet_130	4770.1	214.659	1024	224	0.68	9.71	7.56
140	efficientnet_b0_g16_evos	4743.69	215.854	1024	224	1.01	7.42	8.11
141	efficientnet_es	4736.89	216.163	1024	224	1.81	8.73	5.44
142	efficientnet_es_pruned	4735.25	216.239	1024	224	1.81	8.73	5.44
143	tf_mixnet_s	4735.17	216.242	1024	224	0.25	6.25	4.13
144	gmlp_ti16_224	4709.0	217.445	1024	224	1.34	7.55	5.87
145	convnext_femto	4672.08	219.162	1024	288	1.3	7.56	5.22
146	mobilevitv2_075	4638.17	220.764	1024	256	1.05	12.06	2.87
147	resmlp_12_224	4601.92	222.504	1024	224	3.01	5.5	15.35
148	resmlp_12_distilled_224	4597.97	222.695	1024	224	3.01	5.5	15.35
149	gmixer_12_224	4543.02	225.388	1024	224	2.67	7.26	12.7
150	fbnetv3_d	4532.2	225.927	1024	256	0.68	11.1	10.31
151	tf_efficientnet_es	4518.93	226.591	1024	224	1.81	8.73	5.44
152	selecsls60	4510.1	227.034	1024	224	3.59	5.52	30.67
153	mixer_s16_224	4509.29	227.075	1024	224	3.79	5.97	18.53
154	regnetx_016	4507.02	227.189	1024	224	1.62	7.93	9.19
155	selecsls60b	4490.35	228.033	1024	224	3.63	5.52	32.77
156	cs3darknet_focus_m	4487.64	228.171	1024	288	2.51	6.19	9.3
157	dla34	4481.03	228.505	1024	224	3.07	5.02	15.74
158	crossvit_tiny_240	4476.83	228.722	1024	240	1.57	9.08	7.01
159	convnext_femto_ols	4473.25	228.904	1024	288	1.35	8.06	5.23
160	vit_tiny_r_s16_p8_384	4463.13	229.423	1024	384	1.34	6.49	6.36
161	cs3darknet_m	4452.94	229.949	1024	288	2.63	6.69	9.31
162	repvgg_b0	4433.11	230.978	1024	224	3.41	6.15	15.82
163	resnet26d	4354.59	235.143	1024	224	2.6	8.15	16.01
164	rexnetr_150	4349.97	235.392	1024	224	0.89	11.13	9.78
165	resnetaa34d	4309.77	237.588	1024	224	4.43	5.07	21.82
166	efficientnet_b2_pruned	4309.58	237.598	1024	260	0.73	9.13	8.31
167	darknet17	4296.61	238.316	1024	256	3.26	7.18	14.3
168	vit_small_patch32_384	4250.58	240.897	1024	384	3.45	8.25	22.92
169	crossvit_9_240	4201.98	243.683	1024	240	1.85	9.52	8.55
170	nf_resnet26	4197.39	243.949	1024	224	2.41	7.35	16.0
171	efficientnet_b0_g8_gn	4190.39	244.357	1024	224	0.66	6.75	6.56
172	rexnet_150	4186.31	244.594	1024	224	0.9	11.21	9.73
173	ecaresnet50d_pruned	4182.62	244.81	1024	224	2.53	6.43	19.94
174	efficientformer_l1	4075.83	251.225	1024	224	1.3	5.53	12.29
175	poolformer_s12	4050.19	252.815	1024	224	1.82	5.53	11.92
176	regnety_016	4035.9	253.712	1024	224	1.63	8.04	11.2
177	efficientnet_lite2	4013.48	255.128	1024	260	0.89	12.9	6.09
178	crossvit_9_dagger_240	3992.98	256.437	1024	240	1.99	9.97	8.78
179	efficientnet_cc_b0_8e	3929.29	260.595	1024	224	0.42	9.42	24.01
180	efficientnet_cc_b0_4e	3918.01	261.346	1024	224	0.41	9.42	13.31
181	darknet21	3914.26	261.596	1024	256	3.93	7.47	20.86
182	efficientnet_b1	3876.9	264.116	1024	256	0.77	12.22	7.79
183	tf_efficientnet_b1	3834.3	267.052	1024	240	0.71	10.88	7.79
184	resnest14d	3793.21	269.944	1024	224	2.76	7.33	10.61
185	sedarknet21	3784.73	270.549	1024	256	3.93	7.47	20.95
186	resnext26ts	3775.5	271.211	1024	256	2.43	10.52	10.3
187	tf_efficientnetv2_b2	3727.06	274.735	1024	260	1.72	9.84	10.1
188	convnext_pico	3702.78	276.537	1024	288	2.27	10.08	9.05
189	edgenext_x_small	3692.42	277.311	1024	288	0.68	7.5	2.34
190	tf_efficientnet_cc_b0_8e	3691.33	277.395	1024	224	0.42	9.42	24.01
191	dpn48b	3689.99	277.494	1024	224	1.69	8.92	9.13
192	eca_resnext26ts	3675.59	278.583	1024	256	2.43	10.52	10.3
193	seresnext26ts	3670.33	278.98	1024	256	2.43	10.52	10.39
194	tf_efficientnet_cc_b0_4e	3665.41	279.357	1024	224	0.41	9.42	13.31
195	tf_efficientnet_lite2	3662.0	279.618	1024	260	0.89	12.9	6.09
196	nf_ecaresnet26	3619.99	282.862	1024	224	2.41	7.36	16.0
197	nf_seresnet26	3618.8	282.955	1024	224	2.41	7.36	17.4
198	gcresnext26ts	3594.7	284.852	1024	256	2.43	10.53	10.48
199	mobilevitv2_100	3589.19	213.964	768	256	1.84	16.08	4.9
200	gernet_l	3556.24	287.933	1024	256	4.57	8.0	31.08
201	legacy_seresnext26_32x4d	3545.88	288.774	1024	224	2.49	9.39	16.79
202	convnext_pico_ols	3532.27	289.886	1024	288	2.37	10.74	9.06
203	resnet26t	3503.33	292.28	1024	256	3.35	10.52	16.01
204	repvgg_a2	3454.82	296.386	1024	224	5.7	6.26	28.21
205	mixnet_m	3418.52	299.526	1024	224	0.36	8.19	5.01
206	efficientnet_b3_pruned	3356.7	305.049	1024	300	1.04	11.86	9.86
207	nf_regnet_b1	3352.23	305.456	1024	288	1.02	9.2	10.22
208	ecaresnext50t_32x4d	3339.2	306.649	1024	224	2.7	10.09	15.41
209	ecaresnext26t_32x4d	3337.18	306.833	1024	224	2.7	10.09	15.41
210	seresnext26tn_32x4d	3327.66	307.711	1024	224	2.7	10.09	16.81
211	seresnext26t_32x4d	3327.23	307.751	1024	224	2.7	10.09	16.81
212	seresnext26d_32x4d	3303.57	309.954	1024	224	2.73	10.19	16.81
213	tf_mixnet_m	3301.19	310.17	1024	224	0.36	8.19	5.01
214	convit_tiny	3286.62	311.554	1024	224	1.26	7.94	5.71
215	mobilevit_xs	3278.19	234.265	768	256	1.05	16.33	2.32
216	pit_s_224	3268.88	313.245	1024	224	2.88	11.56	23.46
217	pit_s_distilled_224	3266.72	313.452	1024	224	2.9	11.64	24.04
218	skresnet34	3242.45	315.8	1024	224	3.67	5.13	22.28
219	eca_botnext26ts_256	3224.24	317.583	1024	256	2.46	11.6	10.59
220	ecaresnet101d_pruned	3223.88	317.616	1024	224	3.48	7.69	24.88
221	deit_small_distilled_patch16_224	3220.79	317.922	1024	224	4.63	12.02	22.44
222	ecaresnetlight	3215.57	318.439	1024	224	4.11	8.42	30.16
223	deit_small_patch16_224	3209.05	319.085	1024	224	4.61	11.95	22.05
224	vit_small_patch16_224	3199.98	319.99	1024	224	4.61	11.95	22.05
225	eca_halonext26ts	3173.71	322.639	1024	256	2.44	11.46	10.76
226	convnextv2_atto	3162.98	323.733	1024	288	0.91	6.3	3.71
227	resnetv2_50	3158.28	324.214	1024	224	4.11	11.11	25.55
228	nf_regnet_b2	3133.63	326.765	1024	272	1.22	9.27	14.31
229	rexnetr_200	3133.12	245.111	768	224	1.59	15.11	16.52
230	botnet26t_256	3123.98	327.772	1024	256	3.32	11.98	12.49
231	coat_lite_tiny	3113.54	328.874	1024	224	1.6	11.65	5.72
232	vit_small_r26_s32_224	3112.34	329.001	1024	224	3.56	9.85	36.43
233	bat_resnext26ts	3103.95	329.89	1024	256	2.53	12.51	10.73
234	halonet26t	3103.39	329.95	1024	256	3.19	11.69	12.48
235	pvt_v2_b1	3095.14	330.828	1024	224	2.12	15.39	14.01
236	cspresnet50	3063.22	334.278	1024	256	4.54	11.5	21.62
237	resnet32ts	3055.79	335.09	1024	256	4.63	11.58	17.96
238	rexnet_200	3051.5	251.668	768	224	1.56	14.91	16.37
239	lambda_resnet26t	3046.2	336.144	1024	256	3.02	11.87	10.96
240	ssl_resnet50	3030.48	337.887	1024	224	4.11	11.11	25.56
241	gluon_resnet50_v1b	3027.43	338.23	1024	224	4.11	11.11	25.56
242	tv_resnet50	3027.39	338.232	1024	224	4.11	11.11	25.56
243	swsl_resnet50	3027.07	338.268	1024	224	4.11	11.11	25.56
244	resnet50	3025.4	338.455	1024	224	4.11	11.11	25.56
245	deit3_small_patch16_224_in21ft1k	3023.02	338.721	1024	224	4.61	11.95	22.06
246	deit3_small_patch16_224	3017.77	339.312	1024	224	4.61	11.95	22.06
247	tresnet_m	3006.54	340.578	1024	224	5.74	7.31	31.39
248	resnet33ts	3005.78	340.665	1024	256	4.76	11.66	19.68
249	vit_small_resnet26d_224	2994.08	341.995	1024	224	5.07	11.12	63.61
250	resnetv2_50t	2989.06	342.569	1024	224	4.32	11.82	25.57
251	regnetx_032	2988.15	342.675	1024	224	3.2	11.37	15.3
252	dpn68b	2981.13	343.481	1024	224	2.35	10.47	12.61
253	hrnet_w18_small_v2	2978.67	343.765	1024	224	2.62	9.65	15.6
254	dpn68	2975.29	344.155	1024	224	2.35	10.47	12.61
255	resnetv2_50d	2971.15	344.633	1024	224	4.35	11.92	25.57
256	efficientnet_em	2938.12	348.51	1024	240	3.04	14.34	6.9
257	vit_base_patch32_plus_256	2934.64	348.925	1024	256	7.79	7.76	119.48
258	coat_lite_mini	2921.75	350.462	1024	224	2.0	12.25	11.01
259	tf_efficientnet_b2	2919.63	350.718	1024	260	1.02	13.83	9.11
260	seresnet33ts	2919.51	350.732	1024	256	4.76	11.66	19.78
261	eca_resnet33ts	2917.21	351.008	1024	256	4.76	11.66	19.68
262	haloregnetz_b	2890.29	354.276	1024	224	1.97	11.94	11.68
263	coatnet_pico_rw_224	2884.58	354.98	1024	224	2.05	14.62	10.85
264	dla60	2883.99	355.049	1024	224	4.26	10.16	22.04
265	gluon_resnet50_v1c	2872.58	356.463	1024	224	4.35	11.92	25.58
266	resnet50t	2869.49	356.844	1024	224	4.32	11.82	25.57
267	gcresnet33ts	2863.36	357.609	1024	256	4.76	11.68	19.88
268	gluon_resnet50_v1d	2853.24	358.879	1024	224	4.35	11.92	25.58
269	cspresnet50d	2852.98	358.911	1024	256	4.86	12.55	21.64
270	resnet50d	2850.55	359.218	1024	224	4.35	11.92	25.58
271	vovnet39a	2845.31	359.878	1024	224	7.09	6.73	22.6
272	cspresnet50w	2835.31	361.148	1024	256	5.04	12.19	28.12
273	vgg11	2827.53	362.143	1024	224	7.61	7.44	132.86
274	tf_efficientnet_em	2826.28	362.303	1024	240	3.04	14.34	6.9
275	visformer_small	2818.88	363.251	1024	224	4.88	11.43	40.22
276	vit_relpos_small_patch16_224	2792.87	366.637	1024	224	4.59	13.05	21.98
277	vit_relpos_base_patch32_plus_rpn_256	2784.26	367.771	1024	256	7.68	8.01	119.42
278	vit_srelpos_small_patch16_224	2781.72	368.106	1024	224	4.59	12.16	21.97
279	resnest26d	2772.97	369.267	1024	224	3.64	9.97	17.07
280	cs3darknet_focus_l	2770.5	369.596	1024	288	5.9	10.16	21.15
281	efficientnet_b2a	2767.64	369.979	1024	288	1.12	16.2	9.11
282	efficientnet_b2	2766.98	370.065	1024	288	1.12	16.2	9.11
283	ese_vovnet39b	2760.12	370.986	1024	224	7.09	6.74	24.57
284	legacy_seresnet50	2753.49	371.881	1024	224	3.88	10.6	28.09
285	densenet121	2749.79	372.378	1024	224	2.87	6.9	7.98
286	tv_densenet121	2747.16	372.735	1024	224	2.87	6.9	7.98
287	eca_vovnet39b	2736.53	374.185	1024	224	7.09	6.74	22.6
288	coatnet_nano_cc_224	2716.19	376.986	1024	224	2.24	15.02	13.76
289	convnextv2_femto	2710.95	377.714	1024	288	1.3	7.56	5.23
290	resnetv2_50x1_bit_distilled	2704.93	378.554	1024	224	4.23	11.11	25.55
291	selecsls84	2697.2	379.64	1024	224	5.9	7.57	50.95
292	flexivit_small	2693.55	380.153	1024	240	5.35	14.18	22.06
293	twins_svt_small	2691.25	380.48	1024	224	2.94	13.75	24.06
294	mixnet_l	2678.25	382.327	1024	224	0.58	10.84	7.33
295	seresnet50	2674.61	382.848	1024	224	4.11	11.13	28.09
296	xcit_nano_12_p16_384_dist	2668.39	383.74	1024	384	1.64	12.15	3.05
297	cs3darknet_l	2649.93	386.412	1024	288	6.16	10.83	21.16
298	coatnet_nano_rw_224	2633.36	388.844	1024	224	2.41	15.41	15.14
299	coatnext_nano_rw_224	2627.24	389.75	1024	224	2.47	12.8	14.7
300	xcit_tiny_24_p16_224_dist	2617.14	391.253	1024	224	2.34	11.82	12.12
301	densenet121d	2616.98	391.278	1024	224	3.11	7.7	8.0
302	xcit_tiny_24_p16_224	2614.91	391.584	1024	224	2.34	11.82	12.12
303	resnet50_gn	2599.07	393.975	1024	224	4.14	11.11	25.56
304	vit_relpos_small_patch16_rpn_224	2596.73	394.33	1024	224	4.59	13.05	21.97
305	res2net50_48w_2s	2593.21	394.865	1024	224	4.18	11.72	25.29
306	mobilevit_s	2587.93	296.749	768	256	2.03	19.94	5.58
307	convnext_nano	2579.36	396.983	1024	288	4.06	13.84	15.59
308	tf_mixnet_l	2577.4	397.288	1024	224	0.58	10.84	7.33
309	resnetaa50d	2573.35	397.912	1024	224	5.39	12.44	25.58
310	vgg11_bn	2556.04	400.607	1024	224	7.62	7.44	132.87
311	seresnet50t	2550.33	401.504	1024	224	4.32	11.83	28.1
312	ecaresnet50d	2544.16	402.478	1024	224	4.35	11.93	25.58
313	gcvit_xxtiny	2518.13	406.639	1024	224	2.14	15.36	12.0
314	cs3sedarknet_l	2502.51	409.176	1024	288	6.16	10.83	21.91
315	resnetrs50	2497.73	409.96	1024	224	4.48	12.14	35.69
316	mobilevitv2_125	2489.87	308.438	768	256	2.86	20.1	7.48
317	resnetblur50	2484.87	412.08	1024	224	5.16	12.02	25.56
318	cspresnext50	2483.24	412.352	1024	256	4.05	15.86	20.57
319	gluon_resnet50_v1s	2459.02	416.413	1024	224	5.47	13.52	25.68
320	efficientnet_cc_b1_8e	2458.85	416.443	1024	240	0.75	15.44	39.72
321	vit_base_resnet26d_224	2458.01	416.584	1024	224	6.97	13.16	101.4
322	densenetblur121d	2444.58	418.873	1024	224	3.11	7.9	8.0
323	tv_resnext50_32x4d	2431.41	421.143	1024	224	4.26	14.4	25.03
324	ssl_resnext50_32x4d	2431.35	421.155	1024	224	4.26	14.4	25.03
325	swsl_resnext50_32x4d	2430.87	421.236	1024	224	4.26	14.4	25.03
326	resnext50_32x4d	2429.56	421.462	1024	224	4.26	14.4	25.03
327	gluon_resnext50_32x4d	2428.35	421.674	1024	224	4.26	14.4	25.03
328	dla60x	2414.82	424.035	1024	224	3.54	13.8	17.35
329	efficientnet_lite3	2407.43	212.664	512	300	1.65	21.85	8.2
330	regnetx_040	2406.98	425.416	1024	224	3.99	12.2	22.12
331	semobilevit_s	2404.63	319.371	768	256	2.03	19.95	5.74
332	gcresnext50ts	2402.57	426.196	1024	256	3.75	15.46	15.67
333	regnety_040s_gn	2385.11	429.317	1024	224	4.03	12.29	20.65
334	resnetblur50d	2367.52	432.507	1024	224	5.4	12.82	25.58
335	vovnet57a	2360.79	433.737	1024	224	8.95	7.52	36.64
336	tf_efficientnet_cc_b1_8e	2357.71	434.307	1024	240	0.75	15.44	39.72
337	resmlp_24_distilled_224	2351.85	435.39	1024	224	5.96	10.91	30.02
338	resmlp_24_224	2345.81	436.509	1024	224	5.96	10.91	30.02
339	res2net50_14w_8s	2341.48	437.317	1024	224	4.21	13.28	25.06
340	coatnet_rmlp_nano_rw_224	2340.53	437.494	1024	224	2.62	20.34	15.15
341	sehalonet33ts	2339.44	328.271	768	256	3.55	14.7	13.69
342	res2net50_26w_4s	2338.49	437.876	1024	224	4.28	12.61	25.7
343	convnext_nano_ols	2328.37	439.779	1024	288	4.38	15.5	15.65
344	lambda_resnet26rpt_256	2324.88	165.158	384	256	3.16	11.87	10.99
345	gmixer_24_224	2324.82	440.451	1024	224	5.28	14.45	24.72
346	gcresnet50t	2321.78	441.028	1024	256	5.42	14.67	25.9
347	resnext50d_32x4d	2317.05	441.929	1024	224	4.5	15.2	25.05
348	resnest50d_1s4x24d	2309.9	443.296	1024	224	4.43	13.57	25.68
349	seresnetaa50d	2309.78	443.319	1024	224	5.4	12.46	28.11
350	dla60_res2net	2301.91	444.834	1024	224	4.15	12.34	20.85
351	vit_base_r26_s32_224	2301.77	444.864	1024	224	6.81	12.36	101.38
352	twins_pcpvt_small	2290.09	447.132	1024	224	3.83	18.08	24.11
353	regnetz_b16	2286.62	447.81	1024	288	2.39	16.43	9.72
354	ese_vovnet57b	2267.23	451.64	1024	224	8.95	7.52	38.61
355	gluon_inception_v3	2265.31	452.024	1024	299	5.73	8.97	23.83
356	inception_v3	2260.97	452.888	1024	299	5.73	8.97	23.83
357	adv_inception_v3	2258.89	453.305	1024	299	5.73	8.97	23.83
358	tf_inception_v3	2255.73	453.943	1024	299	5.73	8.97	23.83
359	densenet169	2232.91	458.582	1024	224	3.4	7.3	14.15
360	tf_efficientnetv2_b3	2223.64	460.493	1024	300	3.04	15.74	14.36
361	nf_ecaresnet50	2211.52	463.019	1024	224	4.21	11.13	25.56
362	nf_seresnet50	2207.21	463.921	1024	224	4.21	11.13	28.09
363	skresnet50	2206.75	464.017	1024	224	4.11	12.5	25.8
364	edgenext_small	2206.31	464.109	1024	320	1.97	14.16	5.59
365	seresnext50_32x4d	2197.09	466.058	1024	224	4.26	14.42	27.56
366	gluon_seresnext50_32x4d	2196.94	466.091	1024	224	4.26	14.42	27.56
367	xcit_small_12_p16_224_dist	2195.81	466.33	1024	224	4.82	12.58	26.25
368	legacy_seresnext50_32x4d	2193.34	466.856	1024	224	4.26	14.42	27.56
369	xcit_small_12_p16_224	2190.16	467.534	1024	224	4.82	12.58	26.25
370	repvgg_b1g4	2188.83	467.817	1024	224	8.15	10.64	39.97
371	tf_efficientnet_lite3	2188.37	233.953	512	300	1.65	21.85	8.2
372	efficientnetv2_rw_t	2170.03	471.87	1024	288	3.19	16.42	13.65
373	gmlp_s16_224	2164.56	473.061	1024	224	4.42	15.1	19.42
374	dla60_res2next	2126.26	481.583	1024	224	3.49	13.17	17.03
375	gc_efficientnetv2_rw_t	2126.09	481.621	1024	288	3.2	16.45	13.68
376	skresnet50d	2112.57	484.703	1024	224	4.36	13.31	25.82
377	mobilevitv2_150	2105.0	243.219	512	256	4.09	24.11	10.59
378	mobilevitv2_150_in22ft1k	2104.51	243.274	512	256	4.09	24.11	10.59
379	convnextv2_pico	2092.16	489.434	1024	288	2.27	10.08	9.07
380	poolformer_s24	2090.38	489.851	1024	224	3.41	10.68	21.39
381	cs3sedarknet_xdw	2090.04	489.929	1024	256	5.97	17.18	21.6
382	res2next50	2085.23	491.055	1024	224	4.2	13.71	24.67
383	cspdarknet53	2084.51	491.231	1024	256	6.57	16.81	27.64
384	fbnetv3_g	2084.48	491.238	1024	288	1.77	21.09	16.62
385	crossvit_small_240	2074.04	493.709	1024	240	5.63	18.17	26.86
386	deit3_medium_patch16_224_in21ft1k	2064.27	496.046	1024	224	8.0	15.93	38.85
387	deit3_medium_patch16_224	2063.34	496.268	1024	224	8.0	15.93	38.85
388	xcit_nano_12_p8_224_dist	2049.01	499.742	1024	224	2.16	15.71	3.05
389	xcit_nano_12_p8_224	2044.48	500.848	1024	224	2.16	15.71	3.05
390	nf_regnet_b3	2035.39	503.085	1024	320	2.05	14.61	18.59
391	cs3darknet_focus_x	2017.73	507.488	1024	256	8.03	10.69	35.02
392	vit_relpos_medium_patch16_cls_224	2000.38	511.89	1024	224	8.03	18.24	38.76
393	lambda_resnet50ts	1991.21	514.246	1024	256	5.07	17.48	21.54
394	swin_tiny_patch4_window7_224	1978.72	517.495	1024	224	4.51	17.06	28.29
395	sebotnet33ts_256	1959.75	195.932	384	256	3.89	17.46	13.7
396	coatnet_0_rw_224	1957.32	523.148	1024	224	4.43	18.73	27.44
397	ecaresnet26t	1953.32	524.224	1024	320	5.24	16.44	16.01
398	regnetx_080	1942.5	527.144	1024	224	8.02	14.06	39.57
399	gcvit_xtiny	1941.57	527.393	1024	224	2.93	20.26	19.98
400	resnetv2_101	1925.46	531.806	1024	224	7.83	16.23	44.54
401	regnetx_064	1920.06	533.303	1024	224	6.49	16.37	26.21
402	mixnet_xl	1918.85	533.64	1024	224	0.93	14.57	11.9
403	edgenext_small_rw	1912.9	535.3	1024	320	2.46	14.85	7.83
404	vit_relpos_medium_patch16_224	1907.96	536.687	1024	224	7.97	17.02	38.75
405	vit_srelpos_medium_patch16_224	1900.57	538.773	1024	224	7.96	16.21	38.74
406	resnest50d	1896.74	539.858	1024	224	5.4	14.36	27.48
407	crossvit_15_240	1894.86	540.397	1024	240	5.81	19.77	27.53
408	vit_base_resnet50d_224	1892.78	540.989	1024	224	8.73	16.92	110.97
409	gluon_resnet101_v1b	1879.26	544.883	1024	224	7.83	16.23	44.55
410	tv_resnet101	1878.26	545.172	1024	224	7.83	16.23	44.55
411	resnet101	1875.25	546.047	1024	224	7.83	16.23	44.55
412	dla102	1873.79	546.472	1024	224	7.19	14.18	33.27
413	efficientformer_l3	1868.08	548.142	1024	224	3.93	12.01	31.41
414	maxvit_rmlp_pico_rw_256	1866.73	411.402	768	256	1.85	24.86	7.52
415	resnetv2_101d	1855.94	551.727	1024	224	8.07	17.04	44.56
416	pvt_v2_b2	1835.92	557.745	1024	224	4.05	27.53	25.36
417	maxvit_pico_rw_256	1829.44	419.787	768	256	1.83	22.3	7.46
418	vgg13	1820.36	562.512	1024	224	11.31	12.25	133.05
419	lamhalobotnet50ts_256	1818.57	563.067	1024	256	5.02	18.44	22.57
420	crossvit_15_dagger_240	1817.96	563.255	1024	240	6.13	20.43	28.21
421	gluon_resnet101_v1c	1816.14	563.82	1024	224	8.08	17.04	44.57
422	res2net50_26w_6s	1811.81	565.168	1024	224	6.33	15.28	37.05
423	gluon_resnet101_v1d	1808.21	566.295	1024	224	8.08	17.04	44.57
424	swin_s3_tiny_224	1803.67	567.72	1024	224	4.64	19.13	28.33
425	coatnet_rmlp_0_rw_224	1803.63	567.733	1024	224	4.72	24.89	27.45
426	vit_relpos_medium_patch16_rpn_224	1770.72	578.284	1024	224	7.97	17.02	38.73
427	halonet50ts	1765.73	579.917	1024	256	5.3	19.2	22.73
428	repvgg_b1	1760.92	581.5	1024	224	13.16	10.64	57.42
429	coatnet_bn_0_rw_224	1753.99	583.799	1024	224	4.67	22.04	27.44
430	wide_resnet50_2	1747.87	585.844	1024	224	11.43	14.4	68.88
431	efficientnet_b3	1741.21	294.036	512	320	2.01	26.52	12.23
432	efficientnet_b3a	1740.84	294.1	512	320	2.01	26.52	12.23
433	densenet201	1738.22	589.096	1024	224	4.34	7.85	20.01
434	coatnet_0_224	1727.45	296.376	512	224	4.58	24.01	25.04
435	darknetaa53	1721.33	594.876	1024	288	10.08	15.68	36.02
436	tf_efficientnet_b3	1720.61	297.558	512	300	1.87	23.83	12.23
437	cait_xxs24_224	1720.1	595.301	1024	224	2.53	20.29	11.96
438	vit_large_patch32_224	1718.53	595.845	1024	224	15.41	13.32	327.9
439	mobilevitv2_175	1697.71	301.572	512	256	5.54	28.13	14.25
440	mobilevitv2_175_in22ft1k	1697.51	301.606	512	256	5.54	28.13	14.25
441	xcit_tiny_12_p16_384_dist	1694.92	604.145	1024	384	3.64	18.26	6.72
442	pvt_v2_b2_li	1694.45	604.311	1024	224	3.91	27.6	22.55
443	coat_lite_small	1694.41	604.328	1024	224	3.96	22.09	19.84
444	resnetaa101d	1692.59	604.976	1024	224	9.12	17.56	44.57
445	legacy_seresnet101	1686.93	607.005	1024	224	7.61	15.74	49.33
446	tresnet_v2_l	1685.52	607.515	1024	224	8.81	16.34	46.17
447	hrnet_w18	1679.12	609.832	1024	224	4.32	16.31	21.3
448	vit_medium_patch16_gap_240	1667.0	614.264	1024	240	9.22	18.81	44.4
449	vit_tiny_patch16_384	1660.88	616.528	1024	384	4.7	25.39	5.79
450	regnetv_040	1659.81	616.926	1024	288	6.6	20.3	20.64
451	convnext_tiny_hnf	1659.73	616.951	1024	288	7.39	22.21	28.59
452	seresnet101	1655.13	618.666	1024	224	7.84	16.27	49.33
453	vit_base_patch32_384	1651.29	620.109	1024	384	13.06	16.5	88.3
454	vit_base_patch32_clip_384	1649.72	620.7	1024	384	13.06	16.5	88.3
455	regnety_040	1647.66	621.47	1024	288	6.61	20.3	20.65
456	regnety_032	1645.25	622.383	1024	288	5.29	18.61	19.44
457	gluon_resnet101_v1s	1642.29	623.505	1024	224	9.19	18.64	44.67
458	vgg13_bn	1634.19	626.596	1024	224	11.33	12.25	133.05
459	resnetaa50	1631.05	627.803	1024	288	8.52	19.24	25.56
460	mixer_b16_224_miil	1628.71	628.706	1024	224	12.62	14.53	59.88
461	mixer_b16_224	1627.79	629.061	1024	224	12.62	14.53	59.88
462	convnext_tiny	1626.95	629.384	1024	288	7.39	22.21	28.59
463	nf_resnet101	1620.77	631.785	1024	224	8.01	16.23	44.55
464	swinv2_cr_tiny_224	1618.15	632.807	1024	224	4.66	28.45	28.33
465	ecaresnet101d	1609.33	636.276	1024	224	8.08	17.07	44.57
466	twins_pcpvt_base	1605.41	637.831	1024	224	6.68	25.25	43.83
467	dla102x	1601.78	639.274	1024	224	5.89	19.42	26.31
468	ese_vovnet39b_evos	1601.47	639.4	1024	224	7.07	6.74	24.58
469	darknet53	1597.03	641.177	1024	288	11.78	15.68	41.61
470	resnetblur101d	1596.24	641.494	1024	224	9.12	17.94	44.57
471	resnet51q	1592.08	643.172	1024	288	8.07	20.94	35.7
472	swinv2_cr_tiny_ns_224	1591.39	643.448	1024	224	4.66	28.45	28.33
473	mixer_l32_224	1583.03	646.85	1024	224	11.27	19.86	206.94
474	resmlp_36_distilled_224	1577.86	648.967	1024	224	8.91	16.33	44.69
475	resmlp_36_224	1577.4	649.158	1024	224	8.91	16.33	44.69
476	resnetv2_50d_gn	1561.87	655.61	1024	288	7.24	19.7	25.57
477	botnet50ts_256	1556.81	246.643	384	256	5.54	22.23	22.74
478	nf_resnet50	1548.83	661.132	1024	288	6.88	18.37	25.56
479	resnetv2_50d_frn	1547.35	661.764	1024	224	4.33	11.92	25.59
480	halo2botnet50ts_256	1546.64	496.545	768	256	5.02	21.78	22.64
481	mvitv2_tiny	1534.63	667.247	1024	224	4.7	21.16	24.17
482	gluon_resnext101_32x4d	1505.04	680.366	1024	224	8.01	21.23	44.18
483	swsl_resnext101_32x4d	1504.46	680.63	1024	224	8.01	21.23	44.18
484	cs3darknet_x	1504.38	680.665	1024	288	10.6	14.36	35.05
485	ssl_resnext101_32x4d	1503.93	680.869	1024	224	8.01	21.23	44.18
486	resnext101_32x4d	1503.63	681.005	1024	224	8.01	21.23	44.18
487	resnest50d_4s2x40d	1497.58	683.755	1024	224	4.4	17.94	30.42
488	convnextv2_nano	1488.75	515.858	768	288	4.06	13.84	15.62
489	skresnext50_32x4d	1478.83	692.427	1024	224	4.5	17.18	27.48
490	mobilevitv2_200	1478.44	519.454	768	256	7.22	32.15	18.45
491	tresnet_l	1477.44	693.076	1024	224	10.88	11.9	55.99
492	mobilevitv2_200_in22ft1k	1477.37	519.83	768	256	7.22	32.15	18.45
493	vgg16	1475.59	693.946	1024	224	15.47	13.56	138.36
494	regnetz_c16	1475.58	693.953	1024	320	3.92	25.88	13.46
495	resnetv2_50d_evob	1468.61	697.244	1024	224	4.33	11.92	25.59
496	vit_medium_patch16_gap_256	1467.03	697.996	1024	256	10.59	22.15	38.86
497	res2net50_26w_8s	1466.52	698.239	1024	224	8.37	17.95	48.4
498	sequencer2d_s	1465.84	698.562	1024	224	4.96	11.31	27.65
499	eca_nfnet_l0	1461.61	700.586	1024	288	7.12	17.29	24.14
500	nfnet_l0	1460.27	701.228	1024	288	7.13	17.29	35.07
501	cs3sedarknet_x	1435.72	713.217	1024	288	10.6	14.37	35.4
502	resnet61q	1434.01	714.068	1024	288	9.87	21.52	36.85
503	res2net101_26w_4s	1424.71	718.728	1024	224	8.1	18.45	45.21
504	repvgg_b2g4	1415.15	723.581	1024	224	12.63	12.9	61.76
505	nest_tiny	1413.2	543.434	768	224	5.83	25.48	17.06
506	poolformer_s36	1408.65	726.922	1024	224	5.0	15.82	30.86
507	maxvit_rmlp_nano_rw_256	1404.06	546.971	768	256	4.47	31.92	15.5
508	convit_small	1397.72	732.608	1024	224	5.76	17.87	27.78
509	jx_nest_tiny	1387.89	553.347	768	224	5.83	25.48	17.06
510	maxvit_nano_rw_256	1378.18	557.246	768	256	4.46	30.28	15.45
511	nf_ecaresnet101	1373.28	745.649	1024	224	8.01	16.27	44.55
512	nf_seresnet101	1369.04	747.958	1024	224	8.02	16.27	49.33
513	gluon_seresnext101_32x4d	1358.35	753.84	1024	224	8.02	21.26	48.96
514	legacy_seresnext101_32x4d	1357.27	754.442	1024	224	8.02	21.26	48.96
515	efficientnet_b3_gn	1357.0	282.964	384	320	2.14	28.83	11.73
516	nfnet_f0	1356.65	754.786	1024	256	12.62	18.05	71.49
517	seresnext101_32x4d	1356.0	755.148	1024	224	8.02	21.26	48.96
518	resnetv2_152	1353.28	756.668	1024	224	11.55	22.56	60.19
519	xception	1353.17	567.542	768	299	8.4	35.83	22.86
520	twins_svt_base	1350.54	758.199	1024	224	8.59	26.33	56.07
521	crossvit_18_240	1343.82	761.996	1024	240	9.05	26.26	43.27
522	ese_vovnet99b_iabn	1343.72	762.049	1024	224	16.49	11.27	63.2
523	maxxvit_rmlp_nano_rw_256	1341.45	763.341	1024	256	4.37	26.05	16.78
524	regnetx_120	1339.05	764.708	1024	224	12.13	21.37	46.11
525	vgg16_bn	1336.79	765.998	1024	224	15.5	13.56	138.37
526	dpn92	1330.6	769.562	1024	224	6.54	18.21	37.67
527	tv_resnet152	1329.75	770.054	1024	224	11.56	22.56	60.19
528	gcvit_tiny	1328.61	770.718	1024	224	4.79	29.82	28.22
529	gluon_resnet152_v1b	1328.2	770.954	1024	224	11.56	22.56	60.19
530	resnet152	1327.13	771.578	1024	224	11.56	22.56	60.19
531	ese_vovnet99b	1316.93	777.554	1024	224	16.51	11.27	63.2
532	pvt_v2_b3	1316.31	777.917	1024	224	6.92	37.7	45.24
533	xcit_tiny_12_p8_224_dist	1300.55	787.348	1024	224	4.81	23.6	6.71
534	xcit_tiny_12_p8_224	1299.96	787.704	1024	224	4.81	23.6	6.71
535	crossvit_18_dagger_240	1298.96	788.312	1024	240	9.5	27.03	44.27
536	hrnet_w32	1297.82	789.002	1024	224	8.97	22.02	41.23
537	gluon_resnet152_v1c	1296.47	789.825	1024	224	11.8	23.36	60.21
538	resnetv2_152d	1296.37	789.881	1024	224	11.8	23.36	60.2
539	gluon_resnet152_v1d	1293.21	791.811	1024	224	11.8	23.36	60.21
540	vit_small_resnet50d_s16_224	1288.35	794.801	1024	224	13.48	24.82	57.53
541	cs3edgenet_x	1281.15	799.266	1024	288	14.59	16.36	47.82
542	edgenext_base	1272.74	804.548	1024	320	6.01	24.32	18.51
543	regnety_120	1268.38	807.318	1024	224	12.14	21.38	51.82
544	dla169	1258.34	813.753	1024	224	11.6	20.2	53.39
545	hrnet_w30	1252.2	817.74	1024	224	8.15	21.21	37.71
546	xception41p	1249.06	409.896	512	299	9.25	39.86	26.91
547	maxxvitv2_nano_rw_256	1248.81	819.967	1024	256	6.26	23.05	23.7
548	ecaresnet50t	1243.91	823.198	1024	320	8.82	24.13	25.57
549	vgg19	1237.03	827.774	1024	224	19.63	14.86	143.67
550	swin_small_patch4_window7_224	1228.67	833.406	1024	224	8.77	27.47	49.61
551	efficientnet_el_pruned	1220.93	838.69	1024	300	8.0	30.7	10.59
552	densenet161	1220.41	839.05	1024	224	7.79	11.06	28.68
553	efficientnet_el	1218.76	840.187	1024	300	8.0	30.7	10.59
554	deit_base_distilled_patch16_224	1211.4	845.292	1024	224	17.68	24.05	87.34
555	vit_base_patch16_224	1209.0	846.969	1024	224	17.58	23.9	86.57
556	vit_base_patch16_224_miil	1208.72	847.163	1024	224	17.59	23.91	94.4
557	deit_base_patch16_224	1208.56	847.275	1024	224	17.58	23.9	86.57
558	vit_base_patch16_clip_224	1205.77	849.236	1024	224	17.58	23.9	86.57
559	gluon_resnet152_v1s	1205.41	849.488	1024	224	12.92	24.96	60.32
560	coatnet_rmlp_1_rw_224	1201.89	851.979	1024	224	7.85	35.47	41.69
561	maxvit_tiny_rw_224	1200.3	853.107	1024	224	5.11	33.11	29.06
562	mixnet_xxl	1193.04	643.721	768	224	2.04	23.43	23.96
563	tf_efficientnet_el	1192.11	858.967	1024	300	8.0	30.7	10.59
564	swinv2_tiny_window8_256	1191.01	859.761	1024	256	5.96	24.57	28.35
565	volo_d1_224	1190.57	860.079	1024	224	6.94	24.43	26.63
566	repvgg_b2	1183.91	864.916	1024	224	20.45	12.9	89.02
567	legacy_seresnet152	1181.09	866.978	1024	224	11.33	22.08	66.82
568	xcit_small_24_p16_224_dist	1175.31	871.245	1024	224	9.1	23.64	47.67
569	xcit_small_24_p16_224	1174.76	871.656	1024	224	9.1	23.64	47.67
570	inception_v4	1168.76	876.127	1024	299	12.28	15.09	42.68
571	seresnet152	1166.02	878.19	1024	224	11.57	22.61	66.82
572	twins_pcpvt_large	1163.18	880.331	1024	224	9.84	35.82	60.99
573	deit3_base_patch16_224	1159.4	883.201	1024	224	17.58	23.9	86.59
574	deit3_base_patch16_224_in21ft1k	1159.14	883.404	1024	224	17.58	23.9	86.59
575	cait_xxs36_224	1156.4	885.493	1024	224	3.77	30.34	17.3
576	vit_base_patch32_clip_448	1154.9	886.645	1024	448	17.93	23.9	88.34
577	regnetx_160	1153.07	888.048	1024	224	15.99	25.52	54.28
578	dm_nfnet_f0	1152.75	888.293	1024	256	12.62	18.05	71.49
579	sequencer2d_m	1147.71	892.201	1024	224	6.55	14.26	38.31
580	repvgg_b3g4	1145.87	893.631	1024	224	17.89	15.1	83.83
581	mvitv2_small_cls	1144.7	894.542	1024	224	7.04	28.17	34.87
582	mvitv2_small	1143.83	895.224	1024	224	7.0	28.08	34.87
583	efficientnet_lite4	1139.64	336.935	384	380	4.04	45.66	13.01
584	tnt_s_patch16_224	1135.12	902.091	1024	224	5.24	24.37	23.76
585	convmixer_1024_20_ks9_p14	1130.85	905.497	1024	224	5.55	5.51	24.38
586	vgg19_bn	1127.16	908.464	1024	224	19.66	14.86	143.68
587	vit_relpos_base_patch16_clsgap_224	1124.58	910.547	1024	224	17.6	25.12	86.43
588	vit_relpos_base_patch16_cls_224	1122.76	912.026	1024	224	17.6	25.12	86.43
589	coatnet_rmlp_1_rw2_224	1119.61	914.591	1024	224	8.11	40.13	41.72
590	beit_base_patch16_224	1109.32	923.073	1024	224	17.58	23.9	86.53
591	xception41	1107.6	462.251	512	299	9.28	39.86	26.97
592	tresnet_xl	1106.51	925.423	1024	224	15.17	15.34	78.44
593	beitv2_base_patch16_224	1106.05	925.798	1024	224	17.58	23.9	86.53
594	coat_tiny	1099.16	931.604	1024	224	4.35	27.2	5.5
595	vit_base_patch16_gap_224	1085.51	943.323	1024	224	17.49	25.59	86.57
596	maxvit_tiny_tf_224	1081.57	710.062	768	224	5.6	35.78	30.92
597	vit_relpos_base_patch16_224	1078.21	949.713	1024	224	17.51	24.97	86.43
598	nf_regnet_b4	1075.82	951.823	1024	384	4.7	28.61	30.21
599	coatnet_1_rw_224	1074.48	953.005	1024	224	8.04	34.6	41.72
600	dla102x2	1070.83	956.252	1024	224	9.34	29.91	41.28
601	pit_b_224	1066.8	479.928	512	224	12.42	32.94	73.76
602	pit_b_distilled_224	1063.31	481.504	512	224	12.5	33.07	74.79
603	tf_efficientnet_lite4	1058.68	362.703	384	380	4.04	45.66	13.01
604	efficientnetv2_s	1057.28	968.508	1024	384	8.44	35.77	21.46
605	vit_large_r50_s32_224	1034.79	989.556	1024	224	19.58	24.41	328.99
606	vit_small_patch16_36x1_224	1032.1	992.142	1024	224	13.71	35.69	64.67
607	efficientnet_b3_g8_gn	1031.26	496.465	512	320	3.2	28.83	14.25
608	tf_efficientnetv2_s	1029.13	995.002	1024	384	8.44	35.77	21.46
609	flexivit_base	1028.55	995.558	1024	240	20.29	28.36	86.59
610	vit_base_patch16_rpn_224	1016.66	1007.208	1024	224	17.49	23.75	86.54
611	vit_small_r26_s32_384	1011.11	1012.73	1024	384	10.43	29.85	36.47
612	vit_small_patch16_18x2_224	1005.34	1018.547	1024	224	13.71	35.69	64.67
613	swinv2_cr_small_224	1000.71	1023.259	1024	224	9.07	50.27	49.7
614	efficientnetv2_rw_s	995.91	1028.19	1024	384	8.72	38.03	23.94
615	wide_resnet101_2	995.32	1028.801	1024	224	22.8	21.23	126.89
616	swinv2_cr_small_ns_224	989.25	1035.114	1024	224	9.08	50.27	49.7
617	vit_relpos_base_patch16_rpn_224	986.84	1037.641	1024	224	17.51	24.97	86.41
618	coatnet_1_224	984.69	519.944	512	224	8.7	39.0	42.23
619	resnet200	983.36	1041.314	1024	224	15.07	32.19	64.67
620	dpn98	982.09	1042.657	1024	224	11.73	25.2	61.57
621	convnext_small	981.97	1042.782	1024	288	14.39	35.65	50.22
622	cs3se_edgenet_x	975.89	1049.279	1024	320	18.01	20.21	50.72
623	regnety_080	969.67	1056.01	1024	288	13.22	29.69	39.18
624	poolformer_m36	966.97	1058.965	1024	224	8.8	22.02	56.17
625	resnest101e	963.69	1062.57	1024	256	13.38	28.66	48.28
626	regnetz_b16_evos	955.65	803.632	768	288	2.36	16.43	9.74
627	twins_svt_large	954.95	1072.291	1024	224	15.15	35.1	99.27
628	pvt_v2_b4	952.02	1075.594	1024	224	10.14	53.74	62.56
629	gluon_resnext101_64x4d	944.48	1084.183	1024	224	15.52	31.21	83.46
630	regnetv_064	944.32	1084.367	1024	288	10.55	27.11	30.58
631	regnety_064	944.18	1084.526	1024	288	10.56	27.11	30.58
632	maxvit_rmlp_tiny_rw_256	941.64	815.588	768	256	6.77	46.92	29.15
633	regnetz_d8	936.16	1093.814	1024	320	6.19	37.08	23.37
634	resnetrs101	936.12	1093.858	1024	288	13.56	28.53	63.62
635	regnetz_d32	933.58	1096.833	1024	320	9.33	37.08	27.58
636	ig_resnext101_32x8d	930.9	1099.997	1024	224	16.48	31.21	88.79
637	swsl_resnext101_32x8d	930.28	1100.725	1024	224	16.48	31.21	88.79
638	resnext101_32x8d	929.98	1101.084	1024	224	16.48	31.21	88.79
639	ssl_resnext101_32x8d	929.0	1102.24	1024	224	16.48	31.21	88.79
640	convnextv2_tiny	925.13	553.423	512	288	7.39	22.21	28.64
641	convnextv2_small	924.53	1107.57	1024	224	8.71	21.56	50.32
642	maxvit_tiny_rw_256	921.72	833.209	768	256	6.74	44.35	29.07
643	inception_resnet_v2	917.69	1115.834	1024	299	13.18	25.06	55.84
644	ens_adv_inception_resnet_v2	917.66	1115.871	1024	299	13.18	25.06	55.84
645	maxxvit_rmlp_tiny_rw_256	914.74	1119.428	1024	256	6.66	39.76	29.64
646	xcit_tiny_24_p16_384_dist	912.61	1122.045	1024	384	6.87	34.29	12.12
647	cait_s24_224	908.65	1126.929	1024	224	9.35	40.58	46.92
648	pvt_v2_b5	904.89	1131.615	1024	224	11.76	50.92	81.96
649	nest_small	902.63	850.834	768	224	10.35	40.04	38.35
650	repvgg_b3	901.73	1135.583	1024	224	29.16	15.1	123.09
651	maxvit_tiny_pm_256	896.67	1141.994	1024	256	6.61	47.9	30.09
652	xception65p	896.53	571.079	512	299	13.91	52.48	39.82
653	swin_s3_small_224	896.35	856.792	768	224	9.43	37.84	49.74
654	jx_nest_small	892.32	860.663	768	224	10.35	40.04	38.35
655	efficientnet_b4	890.89	431.018	384	384	4.51	50.04	19.34
656	gmlp_b16_224	885.75	1156.072	1024	224	15.78	30.21	73.08
657	gluon_seresnext101_64x4d	885.23	1156.747	1024	224	15.53	31.25	88.23
658	hrnet_w40	881.9	1161.12	1024	224	12.75	25.29	57.56
659	efficientformer_l7	877.43	1167.027	1024	224	10.17	24.45	82.23
660	coat_mini	874.29	1171.227	1024	224	6.82	33.68	10.34
661	resnet101d	871.81	1174.559	1024	320	16.48	34.77	44.57
662	swin_base_patch4_window7_224	870.1	1176.867	1024	224	15.47	36.63	87.77
663	regnetz_040	868.17	884.605	768	320	6.35	37.78	27.12
664	regnetz_040h	862.76	890.151	768	320	6.43	37.94	28.94
665	mobilevitv2_150_384_in22ft1k	848.7	301.627	256	384	9.2	54.25	10.59
666	resnetv2_50d_evos	844.34	909.573	768	288	7.15	19.7	25.59
667	tf_efficientnet_b4	838.16	458.136	384	380	4.49	49.49	19.34
668	crossvit_base_240	835.31	919.411	768	240	21.22	36.33	105.03
669	vit_base_r50_s16_224	821.15	1247.01	1024	224	21.67	35.31	114.69
670	xcit_medium_24_p16_224_dist	819.59	1249.397	1024	224	16.13	31.71	84.4
671	xcit_medium_24_p16_224	818.73	1250.697	1024	224	16.13	31.71	84.4
672	gcvit_small	807.46	1268.151	1024	224	8.57	41.61	51.09
673	gluon_xception65	806.21	635.055	512	299	13.96	52.48	39.92
674	xception65	800.01	639.983	512	299	13.96	52.48	39.92
675	mvitv2_base	799.31	1281.092	1024	224	10.16	40.5	51.47
676	hrnet_w44	789.29	1297.348	1024	224	14.94	26.92	67.06
677	vit_base_patch16_plus_240	780.68	1311.665	1024	240	27.41	33.08	117.56
678	hrnet_w48	780.39	1312.147	1024	224	17.34	28.56	77.47
679	swinv2_tiny_window16_256	778.19	657.926	512	256	6.68	39.02	28.35
680	tresnet_m_448	775.99	1319.596	1024	448	22.94	29.21	31.39
681	xcit_small_12_p16_384_dist	760.88	1345.804	1024	384	14.14	36.51	26.25
682	vit_small_patch16_384	750.95	1022.685	768	384	15.52	50.78	22.2
683	maxvit_rmlp_small_rw_224	745.49	1373.585	1024	224	10.75	49.3	64.9
684	sequencer2d_l	742.48	1379.149	1024	224	9.74	22.12	54.3
685	swinv2_small_window8_256	738.39	1386.788	1024	256	11.58	40.14	49.73
686	swin_s3_base_224	730.45	1401.854	1024	224	13.69	48.26	71.13
687	poolformer_m48	729.44	1403.808	1024	224	11.59	29.17	73.47
688	densenet264d_iabn	727.43	1407.671	1024	224	13.47	14.0	72.74
689	vit_relpos_base_patch16_plus_240	723.43	1415.468	1024	240	27.3	34.33	117.38
690	dpn131	722.72	1416.854	1024	224	16.09	32.97	79.25
691	tnt_b_patch16_224	722.12	1418.026	1024	224	14.09	39.01	65.41
692	deit3_small_patch16_384	717.36	1070.572	768	384	15.52	50.78	22.21
693	deit3_small_patch16_384_in21ft1k	716.76	1071.477	768	384	15.52	50.78	22.21
694	swinv2_cr_base_224	715.64	1430.874	1024	224	15.86	59.66	87.88
695	eca_nfnet_l1	713.15	1435.867	1024	320	14.92	34.42	41.41
696	coatnet_2_rw_224	709.88	721.237	512	224	15.09	49.22	73.87
697	swinv2_cr_base_ns_224	709.69	1442.871	1024	224	15.86	59.66	87.88
698	coatnet_rmlp_2_rw_224	708.85	722.285	512	224	15.18	54.78	73.88
699	convit_base	706.65	1449.076	1024	224	17.52	31.77	86.54
700	mobilevitv2_175_384_in22ft1k	703.41	363.928	256	384	12.47	63.29	14.25
701	maxvit_small_tf_224	701.58	729.767	512	224	11.66	53.17	68.93
702	densenet264	701.03	1460.686	1024	224	12.95	12.8	72.69
703	ecaresnet200d	694.19	1475.094	1024	256	20.0	43.15	64.69
704	resnetv2_50x1_bitm	691.29	740.624	512	448	16.62	44.46	25.55
705	seresnet200d	691.25	1481.355	1024	256	20.01	43.15	71.86
706	xcit_tiny_24_p8_224	684.73	1495.467	1024	224	9.21	45.39	12.11
707	xcit_tiny_24_p8_224_dist	684.22	1496.573	1024	224	9.21	45.39	12.11
708	convnext_base	682.42	1500.518	1024	288	25.43	47.53	88.59
709	volo_d2_224	663.51	1543.3	1024	224	14.34	41.34	58.68
710	coatnet_2_224	660.84	581.062	384	224	16.5	52.67	74.68
711	legacy_senet154	654.15	1565.387	1024	224	20.77	38.69	115.09
712	gluon_senet154	654.04	1565.641	1024	224	20.77	38.69	115.09
713	senet154	653.94	1565.866	1024	224	20.77	38.69	115.09
714	xcit_nano_12_p8_384_dist	646.53	1583.823	1024	384	6.34	46.08	3.05
715	dpn107	646.38	1584.202	1024	224	18.38	33.46	86.92
716	nest_base	640.55	799.298	512	224	17.96	53.39	67.72
717	jx_nest_base	633.53	808.151	512	224	17.96	53.39	67.72
718	mobilevitv2_200_384_in22ft1k	626.31	408.731	256	384	16.24	72.34	18.45
719	xception71	619.72	826.163	512	299	18.09	69.92	42.34
720	hrnet_w64	618.15	1656.539	1024	224	28.97	35.09	128.06
721	resnet152d	618.09	1656.699	1024	320	24.08	47.67	60.21
722	regnetz_c16_evos	604.19	847.399	512	320	3.86	25.88	13.49
723	gcvit_base	594.61	1722.135	1024	224	14.87	55.48	90.32
724	regnety_160	594.3	1292.258	768	288	26.37	38.07	83.59
725	maxxvit_rmlp_small_rw_256	588.15	1741.023	1024	256	14.67	58.38	66.01
726	xcit_small_12_p8_224	582.04	1759.324	1024	224	18.69	47.21	26.21
727	xcit_small_12_p8_224_dist	581.74	1760.224	1024	224	18.69	47.21	26.21
728	maxvit_rmlp_small_rw_256	575.72	1333.976	768	256	14.15	66.09	64.9
729	regnetx_320	551.07	1393.631	768	224	31.81	36.3	107.81
730	seresnet152d	547.51	1870.27	1024	320	24.09	47.72	66.84
731	resnetrs152	544.33	1881.196	1024	320	24.34	48.14	86.62
732	vit_large_patch32_384	543.23	1884.997	1024	384	45.31	43.86	306.63
733	halonet_h1	540.47	473.65	256	256	3.0	51.17	8.1
734	seresnet269d	540.42	1894.818	1024	256	26.59	53.6	113.67
735	swinv2_base_window8_256	529.22	1451.182	768	256	20.37	52.59	87.92
736	maxxvitv2_rmlp_base_rw_224	523.43	1956.308	1024	224	24.2	62.77	116.09
737	resnext101_64x4d	521.77	1962.525	1024	288	25.66	51.59	83.46
738	regnetz_e8	521.5	1472.647	768	320	15.46	63.94	57.7
739	mixer_l16_224	518.26	1975.807	1024	224	44.6	41.69	208.2
740	vit_medium_patch16_gap_384	508.63	1006.611	512	384	26.08	67.54	39.03
741	swin_large_patch4_window7_224	501.11	1532.586	768	224	34.53	54.94	196.53
742	regnety_320	490.98	2085.591	1024	224	32.34	30.26	145.05
743	swinv2_small_window16_256	487.64	1049.932	512	256	12.82	66.29	49.73
744	seresnext101_32x8d	483.23	2119.074	1024	288	27.24	51.63	93.57
745	vit_small_patch8_224	478.05	1071.009	512	224	22.44	80.84	21.67
746	ig_resnext101_32x16d	477.64	2143.862	1024	224	36.27	51.18	194.03
747	swsl_resnext101_32x16d	476.69	2148.145	1024	224	36.27	51.18	194.03
748	ssl_resnext101_32x16d	476.06	2150.954	1024	224	36.27	51.18	194.03
749	seresnext101d_32x8d	475.05	2155.547	1024	288	27.64	52.95	93.59
750	nf_regnet_b5	470.14	1089.029	512	456	11.7	61.95	49.74
751	xcit_large_24_p16_224_dist	468.86	2184.017	1024	224	35.86	47.27	189.1
752	xcit_large_24_p16_224	468.75	2184.529	1024	224	35.86	47.27	189.1
753	volo_d3_224	463.72	2208.199	1024	224	20.78	60.09	86.33
754	nfnet_f1	463.52	2209.163	1024	320	35.97	46.77	132.63
755	efficientnet_b5	460.91	555.412	256	448	9.59	93.56	30.39
756	resnet200d	453.15	2259.739	1024	320	31.25	67.33	64.69
757	efficientnetv2_m	451.89	2266.018	1024	416	18.6	67.5	54.14
758	seresnextaa101d_32x8d	447.26	2289.498	1024	288	28.51	56.44	93.59
759	efficientnetv2_rw_m	437.1	1757.005	768	416	21.49	79.62	53.24
760	swinv2_cr_large_224	422.08	1819.551	768	224	35.1	78.42	196.68
761	coatnet_rmlp_3_rw_224	421.87	910.226	384	224	33.56	79.47	165.15
762	xcit_tiny_12_p8_384_dist	421.04	2432.044	1024	384	14.13	69.14	6.71
763	swinv2_cr_tiny_384	419.77	609.847	256	384	15.34	161.01	28.33
764	maxvit_rmlp_base_rw_224	419.03	1832.808	768	224	23.15	92.64	116.14
765	resnetv2_152x2_bit_teacher	418.89	2444.553	1024	224	46.95	45.11	236.34
766	resnetv2_101x1_bitm	418.36	1223.813	512	448	31.65	64.93	44.54
767	dm_nfnet_f1	409.02	1877.643	768	320	35.97	46.77	132.63
768	xcit_small_24_p16_384_dist	407.47	2513.062	1024	384	26.72	68.58	47.67
769	coatnet_3_rw_224	404.39	633.033	256	224	33.44	73.83	181.81
770	tf_efficientnet_b5	403.59	634.298	256	456	10.46	98.86	30.39
771	convnextv2_base	402.92	1270.715	512	288	25.43	47.53	88.72
772	resnetrs200	396.11	2585.123	1024	320	31.51	67.81	93.21
773	tresnet_l_448	395.6	2588.481	1024	448	43.5	47.56	55.99
774	eva_large_patch14_196	391.22	2617.408	1024	196	61.57	63.52	304.14
775	vit_large_patch16_224	389.92	2626.132	1024	224	61.6	63.52	304.33
776	regnetz_d8_evos	389.86	1969.937	768	320	7.03	38.92	23.46
777	maxvit_base_tf_224	387.71	1320.545	512	224	24.04	95.01	119.47
778	coatnet_3_224	387.35	660.882	256	224	36.56	79.01	166.97
779	crossvit_15_dagger_408	386.57	662.227	256	408	21.45	95.05	28.5
780	vit_base_patch16_18x2_224	384.3	2664.545	1024	224	52.51	71.38	256.73
781	deit3_large_patch16_224	376.93	2716.643	1024	224	61.6	63.52	304.37
782	deit3_large_patch16_224_in21ft1k	376.54	2719.504	1024	224	61.6	63.52	304.37
783	tf_efficientnetv2_m	374.38	2051.373	768	480	24.76	89.84	54.14
784	convnext_large	371.39	1378.579	512	288	56.87	71.29	197.77
785	beitv2_large_patch16_224	360.12	2843.465	1024	224	61.6	63.52	304.43
786	beit_large_patch16_224	359.86	2845.558	1024	224	61.6	63.52	304.43
787	swinv2_base_window12to16_192to256_22kft1k	359.31	1068.705	384	256	22.02	84.71	87.92
788	swinv2_base_window16_256	359.09	1069.342	384	256	22.02	84.71	87.92
789	eca_nfnet_l2	347.1	2212.621	768	384	30.05	68.28	56.72
790	flexivit_large	333.31	3072.173	1024	240	70.99	75.39	304.36
791	vit_large_r50_s32_384	332.86	3076.333	1024	384	57.43	76.52	329.09
792	maxxvitv2_rmlp_large_rw_224	330.79	3095.576	1024	224	44.14	87.15	215.42
793	resnest200e	317.25	3227.754	1024	320	35.69	82.78	70.2
794	maxvit_tiny_tf_384	317.22	807.002	256	384	17.53	123.42	30.98
795	convmixer_768_32	309.28	3310.892	1024	224	19.55	25.95	21.11
796	deit_base_patch16_384	306.13	1254.335	384	384	55.54	101.56	86.86
797	vit_base_patch16_384	306.13	1254.349	384	384	55.54	101.56	86.86
798	vit_base_patch16_clip_384	305.56	1256.673	384	384	55.54	101.56	86.86
799	xcit_small_24_p8_224_dist	305.18	3355.41	1024	224	35.81	90.78	47.63
800	deit_base_distilled_patch16_384	304.96	1259.16	384	384	55.65	101.82	87.63
801	xcit_small_24_p8_224	304.86	3358.887	1024	224	35.81	90.78	47.63
802	nasnetalarge	300.31	1278.679	384	331	23.89	90.56	88.75
803	volo_d1_384	299.05	1712.072	512	384	22.75	108.55	26.78
804	volo_d4_224	295.86	3461.069	1024	224	44.34	80.22	192.96
805	deit3_base_patch16_384	294.03	1305.985	384	384	55.54	101.56	86.88
806	deit3_base_patch16_384_in21ft1k	293.78	1307.085	384	384	55.54	101.56	86.88
807	tresnet_xl_448	292.43	2626.294	768	448	60.65	61.31	78.44
808	pnasnet5large	285.95	1342.894	384	331	25.04	92.89	86.06
809	vit_large_patch14_224	285.66	3584.705	1024	224	81.08	88.79	304.2
810	vit_large_patch14_clip_224	285.43	3587.599	1024	224	81.08	88.79	304.2
811	crossvit_18_dagger_408	283.82	901.967	256	408	32.47	124.87	44.61
812	xcit_medium_24_p16_384_dist	282.22	3628.317	1024	384	47.39	91.64	84.4
813	cait_xxs24_384	275.38	3718.492	1024	384	9.63	122.66	12.03
814	regnety_640	271.79	2825.663	768	224	64.16	42.5	281.38
815	maxvit_large_tf_224	268.97	1427.67	384	224	43.68	127.35	211.79
816	nfnet_f2	263.0	3893.59	1024	352	63.22	79.06	193.78
817	beit_base_patch16_384	260.66	1473.146	384	384	55.54	101.56	86.74
818	swinv2_cr_small_384	258.79	989.214	256	384	29.7	298.03	49.7
819	ecaresnet269d	257.79	3972.16	1024	352	50.25	101.25	102.09
820	resnetrs270	249.11	4110.633	1024	352	51.13	105.48	129.86
821	mvitv2_large	248.64	2059.181	512	224	43.87	112.02	217.99
822	efficientnet_b6	246.42	519.432	128	528	19.4	167.39	43.04
823	convnext_xlarge	241.35	2121.412	512	288	100.8	95.05	350.2
824	convnextv2_large	238.64	1072.708	256	288	56.87	71.29	197.96
825	tf_efficientnet_b6	236.4	541.434	128	528	19.4	167.39	43.04
826	swin_base_patch4_window12_384	235.04	816.885	192	384	47.19	134.78	87.9
827	dm_nfnet_f2	234.34	3277.279	768	352	63.22	79.06	193.78
828	coatnet_4_224	228.52	1120.23	256	224	62.48	129.26	275.43
829	vit_base_r50_s16_384	227.31	1689.303	384	384	67.43	135.03	98.95
830	efficientnetv2_l	221.97	2306.653	512	480	56.4	157.99	118.52
831	xcit_tiny_24_p8_384_dist	221.23	4628.611	1024	384	27.05	132.95	12.11
832	ig_resnext101_32x32d	220.61	2320.857	512	224	87.29	91.12	468.53
833	swinv2_large_window12to16_192to256_22kft1k	219.46	1166.485	256	256	47.81	121.53	196.74
834	tf_efficientnetv2_l	219.35	2334.183	512	480	56.4	157.99	118.52
835	resmlp_big_24_224	214.31	4778.166	1024	224	100.23	87.31	129.14
836	resmlp_big_24_224_in22ft1k	214.13	4782.043	1024	224	100.23	87.31	129.14
837	resmlp_big_24_distilled_224	214.04	4784.169	1024	224	100.23	87.31	129.14
838	xcit_medium_24_p8_224_dist	210.1	4873.763	1024	224	63.53	121.23	84.32
839	xcit_medium_24_p8_224	210.01	4875.864	1024	224	63.53	121.23	84.32
840	maxvit_small_tf_384	208.79	919.556	192	384	35.87	183.65	69.02
841	vit_base_patch8_224	199.59	1282.637	256	224	78.22	161.69	86.58
842	eca_nfnet_l3	199.58	2565.434	512	448	52.55	118.4	72.04
843	volo_d5_224	196.25	5217.924	1024	224	72.4	118.11	295.46
844	xcit_small_12_p8_384_dist	194.27	2635.521	512	384	54.92	138.29	26.21
845	cait_xs24_384	192.73	3984.863	768	384	19.28	183.98	26.67
846	swinv2_cr_base_384	184.92	1384.392	256	384	50.57	333.68	87.88
847	cait_xxs36_384	184.35	5554.56	1024	384	14.35	183.7	17.37
848	swinv2_cr_huge_224	183.61	2091.395	384	224	115.97	121.08	657.83
849	convnext_xxlarge	183.01	2098.268	384	224	151.66	95.29	846.47
850	coatnet_rmlp_2_rw_384	178.88	715.532	128	384	47.69	209.43	73.88
851	convmixer_1536_20	173.51	5901.752	1024	224	48.68	33.03	51.63
852	volo_d2_384	168.46	1519.603	256	384	46.17	184.51	58.87
853	resnetrs350	168.28	6085.136	1024	384	77.59	154.74	163.96
854	xcit_large_24_p16_384_dist	160.71	4778.847	768	384	105.35	137.17	189.1
855	resnetv2_152x2_bit_teacher_384	159.55	1604.488	256	384	136.16	132.56	236.34
856	maxvit_xlarge_tf_224	155.79	1643.178	256	224	97.49	191.02	474.95
857	maxvit_tiny_tf_512	155.64	822.373	128	512	33.49	257.59	31.05
858	regnety_1280	155.18	2474.502	384	224	127.66	71.58	644.81
859	vit_huge_patch14_224	154.03	6647.897	1024	224	167.43	139.43	658.75
860	vit_huge_patch14_clip_224	153.92	6652.944	1024	224	167.4	139.41	632.05
861	maxxvitv2_rmlp_base_rw_384	153.34	1669.502	256	384	72.98	213.74	116.09
862	efficientnetv2_xl	152.49	3357.61	512	512	93.85	247.32	208.12
863	tf_efficientnetv2_xl	151.4	2536.254	384	512	93.85	247.32	208.12
864	deit3_huge_patch14_224_in21ft1k	149.08	6868.834	1024	224	167.4	139.41	632.13
865	deit3_huge_patch14_224	149.01	6871.974	1024	224	167.4	139.41	632.13
866	cait_s24_384	148.46	3448.684	512	384	32.17	245.31	47.06
867	resnest269e	147.61	3468.584	512	416	77.69	171.98	110.93
868	nfnet_f3	147.43	3472.717	512	416	115.58	141.78	254.92
869	efficientnet_b7	142.41	674.084	96	600	38.33	289.94	66.35
870	resnetv2_50x3_bitm	138.27	1388.564	192	448	145.7	133.37	217.32
871	tf_efficientnet_b7	137.89	696.181	96	600	38.33	289.94	66.35
872	swin_large_patch4_window12_384	137.6	930.229	128	384	104.08	202.16	196.74
873	ig_resnext101_32x48d	132.29	2902.628	384	224	153.57	131.06	828.41
874	dm_nfnet_f3	127.59	4012.898	512	416	115.58	141.78	254.92
875	coatnet_5_224	125.18	1022.512	128	224	145.49	194.24	687.47
876	maxvit_rmlp_base_rw_384	121.26	2111.079	256	384	70.97	318.95	116.14
877	xcit_large_24_p8_224	119.97	6401.598	768	224	141.23	181.56	188.93
878	xcit_large_24_p8_224_dist	119.94	6403.17	768	224	141.23	181.56	188.93
879	resnetrs420	119.93	6403.598	768	416	108.45	213.79	191.89
880	resnetv2_152x2_bitm	117.33	2181.801	256	448	184.99	180.43	236.34
881	maxvit_base_tf_384	113.69	1688.826	192	384	73.8	332.9	119.65
882	swinv2_cr_large_384	113.07	1132.03	128	384	108.95	404.96	196.68
883	eva_large_patch14_336	102.65	2493.904	256	336	191.1	270.24	304.53
884	vit_large_patch14_clip_336	102.47	2498.286	256	336	191.11	270.24	304.53
885	vit_large_patch16_384	102.37	2500.639	256	384	191.21	270.24	304.72
886	xcit_small_24_p8_384_dist	102.36	5001.728	512	384	105.24	265.91	47.63
887	eva_giant_patch14_224	101.75	10063.521	1024	224	267.18	192.64	1012.56
888	vit_giant_patch14_224	100.42	7648.057	768	224	267.18	192.64	1012.61
889	vit_giant_patch14_clip_224	100.32	7655.265	768	224	267.18	192.64	1012.65
890	cait_s36_384	99.37	5152.338	512	384	47.99	367.4	68.37
891	deit3_large_patch16_384	99.34	2577.037	256	384	191.21	270.24	304.76
892	deit3_large_patch16_384_in21ft1k	99.27	2578.907	256	384	191.21	270.24	304.76
893	regnety_2560	97.99	2612.623	256	224	257.07	87.48	826.14
894	maxvit_small_tf_512	97.85	981.11	96	512	67.26	383.77	69.13
895	swinv2_base_window12to24_192to384_22kft1k	95.95	666.98	64	384	55.25	280.36	87.92
896	efficientnet_b8	95.3	1007.298	96	672	63.48	442.89	87.41
897	tf_efficientnet_b8	92.65	1036.1	96	672	63.48	442.89	87.41
898	beit_large_patch16_384	88.55	2890.891	256	384	191.21	270.24	305.0
899	resnetv2_101x3_bitm	83.1	2310.491	192	448	280.33	194.78	387.93
900	maxvit_large_tf_384	80.34	1593.284	128	384	132.55	445.84	212.03
901	nfnet_f4	79.54	4827.723	384	512	216.26	262.26	316.07
902	volo_d3_448	73.5	2612.274	192	448	96.33	446.83	86.63
903	dm_nfnet_f4	71.41	3584.699	256	512	216.26	262.26	316.07
904	xcit_medium_24_p8_384_dist	70.91	5415.294	384	384	186.67	354.73	84.32
905	swinv2_large_window12to24_192to384_22kft1k	60.84	788.97	48	384	116.15	407.83	196.74
906	vit_gigantic_patch14_clip_224	60.15	8511.823	512	224	483.96	275.37	1844.91
907	vit_gigantic_patch14_224	60.11	8517.291	512	224	483.95	275.37	1844.44
908	nfnet_f5	58.02	4412.387	256	544	290.97	349.71	377.21
909	vit_huge_patch14_clip_336	57.29	4468.831	256	336	390.97	407.54	632.46
910	convnextv2_huge	56.06	1712.576	96	384	337.96	232.35	660.29
911	volo_d4_448	54.47	2349.801	128	448	197.13	527.35	193.41
912	tf_efficientnet_l2	54.12	1182.593	64	475	172.11	609.89	480.31
913	maxvit_base_tf_512	52.65	1823.292	96	512	138.02	703.99	119.88
914	swinv2_cr_giant_224	52.12	2455.882	128	224	483.85	309.15	2598.76
915	dm_nfnet_f5	50.7	5049.339	256	544	290.97	349.71	377.21
916	swinv2_cr_huge_384	48.86	1309.971	64	384	352.04	583.18	657.94
917	maxvit_xlarge_tf_384	46.24	2076.289	96	384	292.78	668.76	475.32
918	nfnet_f6	44.3	5778.548	256	576	378.69	452.2	438.36
919	xcit_large_24_p8_384_dist	40.2	6368.127	256	384	415.0	531.82	188.93
920	eva_giant_patch14_336	39.77	6436.237	256	336	620.64	550.67	1013.01
921	dm_nfnet_f6	39.62	6461.626	256	576	378.69	452.2	438.36
922	maxvit_large_tf_512	38.67	1654.908	64	512	244.75	942.15	212.33
923	volo_d5_448	37.56	3408.043	128	448	315.06	737.92	295.91
924	beit_large_patch16_512	35.36	2715.28	96	512	362.24	656.39	305.67
925	nfnet_f7	34.74	7370.0	256	608	480.39	570.85	499.5
926	cait_m36_384	32.36	7912.123	256	384	173.11	734.81	271.22
927	resnetv2_152x4_bitm	30.0	4266.89	128	480	844.84	414.26	936.53
928	volo_d5_512	26.35	4857.602	128	512	425.09	1105.37	296.09
929	maxvit_xlarge_tf_512	23.12	2076.455	48	512	534.14	1413.22	475.77
930	efficientnet_l2	21.26	1505.032	32	800	479.12	1707.39	480.31
931	swinv2_cr_giant_384	15.03	2129.6	32	384	1450.71	1394.86	2598.76
932	cait_m48_448	13.69	9353.048	128	448	329.41	1708.23	356.46
933	eva_giant_patch14_560	10.36	4631.037	48	560	1906.76	2577.17	1014.45