pytorch-image-models/results/benchmark-infer-amp-nchw-pt110-cu113-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	45729.13	22.382	1024	106	0.03	0.69	2.04
3	mobilenetv3_small_050	36893.28	27.745	1024	224	0.03	0.92	1.59
4	lcnet_035	35105.45	29.158	1024	224	0.03	1.04	1.64
5	lcnet_050	30263.97	33.825	1024	224	0.05	1.26	1.88
6	tf_mobilenetv3_small_minimal_100	27416.94	37.338	1024	224	0.06	1.41	2.04
7	mobilenetv3_small_075	26904.17	38.049	1024	224	0.05	1.3	2.04
8	tinynet_d	25044.68	40.875	1024	152	0.05	1.42	2.34
9	mobilenetv3_small_100	23617.79	43.346	1024	224	0.06	1.42	2.54
10	tf_mobilenetv3_small_075	23189.43	44.147	1024	224	0.05	1.3	2.04
11	tf_mobilenetv3_small_100	20762.5	49.309	1024	224	0.06	1.42	2.54
12	levit_128s	19460.71	52.608	1024	224	0.31	1.88	7.78
13	lcnet_075	19432.12	52.685	1024	224	0.1	1.99	2.36
14	mnasnet_small	17836.77	57.398	1024	224	0.07	2.16	2.03
15	mobilenetv2_035	17430.32	58.737	1024	224	0.07	2.86	1.68
16	ghostnet_050	16407.44	62.399	1024	224	0.05	1.77	2.59
17	regnetx_002	16261.91	62.957	1024	224	0.2	2.16	2.68
18	lcnet_100	15473.86	66.165	1024	224	0.16	2.52	2.95
19	regnety_002	15227.36	67.236	1024	224	0.2	2.17	3.16
20	mobilenetv2_050	13934.38	73.476	1024	224	0.1	3.64	1.97
21	levit_128	13275.72	77.121	1024	224	0.41	2.71	9.21
22	mnasnet_050	13141.39	77.91	1024	224	0.11	3.07	2.22
23	tinynet_c	12655.67	80.901	1024	184	0.11	2.87	2.46
24	semnasnet_050	12612.89	81.175	1024	224	0.11	3.44	2.08
25	levit_192	11388.57	89.902	1024	224	0.66	3.2	10.95
26	gernet_s	10813.61	94.684	1024	224	0.75	2.65	8.17
27	mixer_s32_224	10504.33	97.471	1024	224	1.0	2.28	19.1
28	mobilenetv3_large_075	10490.35	97.601	1024	224	0.16	4.0	3.99
29	vit_small_patch32_224	10240.88	99.979	1024	224	1.15	2.5	22.88
30	regnetx_004	10074.95	101.626	1024	224	0.4	3.14	5.16
31	lcnet_150	9963.3	102.765	1024	224	0.34	3.79	4.5
32	ese_vovnet19b_slim_dw	9910.83	103.307	1024	224	0.4	5.28	1.9
33	tf_mobilenetv3_large_minimal_100	9754.43	104.966	1024	224	0.22	4.4	3.92
34	tf_mobilenetv3_large_075	9324.76	109.803	1024	224	0.16	4.0	3.99
35	vit_tiny_r_s16_p8_224	9271.21	110.438	1024	224	0.44	2.06	6.34
36	mobilenetv3_rw	9237.45	110.841	1024	224	0.23	4.41	5.48
37	mobilenetv3_large_100_miil	9122.48	112.239	1024	224	0.23	4.41	5.48
38	mobilenetv3_large_100	9113.48	112.349	1024	224	0.23	4.41	5.48
39	swsl_resnet18	8964.25	114.22	1024	224	1.82	2.48	11.69
40	ssl_resnet18	8954.23	114.347	1024	224	1.82	2.48	11.69
41	resnet18	8950.63	114.393	1024	224	1.82	2.48	11.69
42	gluon_resnet18_v1b	8904.35	114.988	1024	224	1.82	2.48	11.69
43	ghostnet_100	8800.66	116.343	1024	224	0.15	3.55	5.18
44	mobilenetv2_075	8784.57	116.556	1024	224	0.22	5.86	2.64
45	mnasnet_075	8615.15	118.849	1024	224	0.23	4.77	3.17
46	regnety_004	8508.99	120.332	1024	224	0.41	3.89	4.34
47	seresnet18	8476.05	120.8	1024	224	1.82	2.49	11.78
48	levit_256	8328.46	122.939	1024	224	1.13	4.23	18.89
49	legacy_seresnet18	8221.84	124.534	1024	224	1.82	2.49	11.78
50	tf_mobilenetv3_large_100	8193.03	124.971	1024	224	0.23	4.41	5.48
51	tinynet_b	8097.58	126.445	1024	188	0.21	4.44	3.73
52	semnasnet_075	8084.78	126.646	1024	224	0.23	5.54	2.91
53	regnetx_006	8071.67	126.849	1024	224	0.61	3.98	6.2
54	mobilenetv2_100	7909.09	129.46	1024	224	0.31	6.68	3.5
55	hardcorenas_a	7647.53	133.887	1024	224	0.23	4.38	5.26
56	hardcorenas_b	7621.16	134.351	1024	224	0.26	5.09	5.18
57	mnasnet_b1	7496.38	136.587	1024	224	0.33	5.46	4.38
58	resnet18d	7495.1	136.61	1024	224	2.06	3.29	11.71
59	mnasnet_100	7464.6	137.169	1024	224	0.33	5.46	4.38
60	regnety_006	7283.03	140.589	1024	224	0.61	4.33	6.06
61	levit_256d	7198.1	142.247	1024	224	1.4	4.93	26.21
62	ghostnet_130	7150.23	143.2	1024	224	0.24	4.6	7.36
63	semnasnet_100	7147.27	143.26	1024	224	0.32	6.23	3.89
64	mnasnet_a1	7145.4	143.297	1024	224	0.32	6.23	3.89
65	hardcorenas_c	7122.02	143.767	1024	224	0.28	5.01	5.52
66	spnasnet_100	7064.4	144.94	1024	224	0.35	6.03	4.42
67	hardcorenas_d	7022.23	145.809	1024	224	0.3	4.93	7.5
68	ese_vovnet19b_slim	7002.56	146.217	1024	224	1.69	3.52	3.17
69	tf_efficientnetv2_b0	6802.55	150.52	1024	224	0.73	4.77	7.14
70	regnetx_008	6364.35	160.884	1024	224	0.81	5.15	7.26
71	tinynet_a	6111.01	167.554	1024	192	0.35	5.41	6.19
72	efficientnet_lite0	6045.52	169.367	1024	224	0.4	6.74	4.65
73	rexnet_100	6041.15	169.492	1024	224	0.41	7.44	4.8
74	rexnetr_100	5996.51	170.755	1024	224	0.43	7.72	4.88
75	mobilenetv2_110d	5977.45	171.298	1024	224	0.45	8.71	4.52
76	resnetblur18	5956.09	171.912	1024	224	2.34	3.39	11.69
77	regnety_008	5950.01	172.087	1024	224	0.81	5.25	6.26
78	hardcorenas_f	5941.51	172.335	1024	224	0.35	5.57	8.2
79	dla46_c	5913.03	173.163	1024	224	0.58	4.5	1.3
80	hardcorenas_e	5713.6	179.209	1024	224	0.35	5.65	8.07
81	skresnet18	5591.52	183.122	1024	224	1.82	3.24	11.96
82	fbnetc_100	5586.56	183.283	1024	224	0.4	6.51	5.57
83	regnetz_005	5486.82	186.617	1024	224	0.52	5.86	7.12
84	tf_efficientnet_lite0	5460.79	187.507	1024	224	0.4	6.74	4.65
85	efficientnet_b0	5369.25	190.703	1024	224	0.4	6.75	5.29
86	efficientnet_b1_pruned	5363.23	190.917	1024	240	0.4	6.21	6.33
87	mobilenetv2_140	5279.19	193.957	1024	224	0.6	9.57	6.11
88	gluon_resnet34_v1b	5264.52	194.497	1024	224	3.67	3.74	21.8
89	resnet34	5261.07	194.625	1024	224	3.67	3.74	21.8
90	tv_resnet34	5246.08	195.181	1024	224	3.67	3.74	21.8
91	mnasnet_140	5193.79	197.147	1024	224	0.6	7.71	7.12
92	ese_vovnet19b_dw	5184.9	197.482	1024	224	1.34	8.25	6.54
93	hrnet_w18_small	5155.87	198.596	1024	224	1.61	5.72	13.19
94	nf_regnet_b0	5101.72	200.704	1024	256	0.64	5.58	8.76
95	visformer_tiny	5101.23	200.723	1024	224	1.27	5.72	10.32
96	levit_384	5073.3	201.829	1024	224	2.36	6.26	39.13
97	semnasnet_140	4966.63	206.164	1024	224	0.6	8.87	6.11
98	seresnet34	4945.0	207.065	1024	224	3.67	3.74	21.96
99	tf_efficientnet_b0_ap	4905.52	208.732	1024	224	0.4	6.75	5.29
100	gernet_m	4904.45	208.778	1024	224	3.02	5.24	21.14
101	tf_efficientnet_b0_ns	4901.28	208.912	1024	224	0.4	6.75	5.29
102	tf_efficientnet_b0	4899.3	208.998	1024	224	0.4	6.75	5.29
103	deit_tiny_patch16_224	4843.68	211.396	1024	224	1.26	5.97	5.72
104	vit_tiny_patch16_224	4826.03	212.17	1024	224	1.26	5.97	5.72
105	legacy_seresnet34	4801.6	213.249	1024	224	3.67	3.74	21.96
106	selecsls42	4799.44	213.344	1024	224	2.94	4.62	30.35
107	selecsls42b	4785.96	213.947	1024	224	2.98	4.62	32.46
108	deit_tiny_distilled_patch16_224	4763.87	214.938	1024	224	1.27	6.01	5.91
109	dla46x_c	4729.04	216.521	1024	224	0.54	5.66	1.07
110	resnet34d	4728.13	216.564	1024	224	3.91	4.54	21.82
111	rexnetr_130	4595.96	222.792	1024	224	0.68	9.81	7.61
112	mixnet_s	4558.15	224.639	1024	224	0.25	6.25	4.13
113	pit_ti_distilled_224	4547.26	225.178	1024	224	0.71	6.23	5.1
114	pit_ti_224	4535.39	225.767	1024	224	0.7	6.19	4.85
115	tf_efficientnetv2_b1	4510.37	227.021	1024	240	1.21	7.34	8.14
116	xcit_nano_12_p16_224_dist	4493.11	227.892	1024	224	0.56	4.17	3.05
117	xcit_nano_12_p16_224	4491.7	227.964	1024	224	0.56	4.17	3.05
118	dla60x_c	4470.1	229.064	1024	224	0.59	6.01	1.32
119	resmlp_12_distilled_224	4434.35	230.91	1024	224	3.01	5.5	15.35
120	resmlp_12_224	4433.54	230.952	1024	224	3.01	5.5	15.35
121	rexnet_130	4425.14	231.393	1024	224	0.68	9.71	7.56
122	vit_base_patch32_224_sam	4321.54	236.941	1024	224	4.41	5.01	88.22
123	vit_base_patch32_224	4307.66	237.703	1024	224	4.41	5.01	88.22
124	resnet26	4298.32	238.219	1024	224	2.36	7.35	16.0
125	mobilenetv2_120d	4284.71	238.978	1024	224	0.69	11.97	5.83
126	tf_mixnet_s	4275.28	239.504	1024	224	0.25	6.25	4.13
127	repvgg_b0	4225.0	242.355	1024	224	3.41	6.15	15.82
128	mixer_b32_224	4147.03	246.913	1024	224	3.24	6.29	60.29
129	selecsls60	4126.77	248.123	1024	224	3.59	5.52	30.67
130	selecsls60b	4115.88	248.778	1024	224	3.63	5.52	32.77
131	efficientnet_b0_g16_evos	3990.44	256.6	1024	224	1.01	7.42	8.11
132	rexnetr_150	3952.56	259.06	1024	224	0.89	11.13	9.78
133	efficientnet_lite1	3940.91	259.824	1024	240	0.62	10.14	5.42
134	resnet26d	3924.1	260.939	1024	224	2.6	8.15	16.01
135	dla34	3875.11	264.237	1024	224	3.07	5.02	15.74
136	ecaresnet50d_pruned	3865.04	264.927	1024	224	2.53	6.43	19.94
137	rexnet_150	3831.29	267.26	1024	224	0.9	11.21	9.73
138	nf_resnet26	3793.55	269.919	1024	224	2.41	7.35	16.0
139	mobilevit_xxs	3770.57	271.565	1024	256	0.42	8.34	1.27
140	pit_xs_224	3681.14	278.161	1024	224	1.4	7.71	10.62
141	tf_efficientnet_lite1	3664.91	279.395	1024	240	0.62	10.14	5.42
142	pit_xs_distilled_224	3647.86	280.699	1024	224	1.41	7.76	11.0
143	regnetx_016	3647.8	280.704	1024	224	1.62	7.93	9.19
144	fbnetv3_d	3569.84	286.833	1024	256	0.68	11.1	10.31
145	fbnetv3_b	3536.82	289.512	1024	256	0.55	9.1	8.6
146	efficientnet_b2_pruned	3476.28	294.556	1024	260	0.73	9.13	8.31
147	efficientnet_es_pruned	3448.68	296.913	1024	224	1.81	8.73	5.44
148	efficientnet_es	3446.7	297.082	1024	224	1.81	8.73	5.44
149	tf_efficientnetv2_b2	3438.51	297.791	1024	260	1.72	9.84	10.1
150	efficientnet_cc_b0_4e	3425.03	298.962	1024	224	0.41	9.42	13.31
151	efficientnet_cc_b0_8e	3412.18	300.089	1024	224	0.42	9.42	24.01
152	poolformer_s12	3407.92	300.463	1024	224	1.82	5.53	11.92
153	mixer_s16_224	3404.99	300.723	1024	224	3.79	5.97	18.53
154	regnety_016	3352.08	305.469	1024	224	1.63	8.04	11.2
155	tf_efficientnet_es	3332.57	307.258	1024	224	1.81	8.73	5.44
156	nf_seresnet26	3311.28	309.234	1024	224	2.41	7.36	17.4
157	repvgg_a2	3302.08	310.095	1024	224	5.7	6.26	28.21
158	nf_ecaresnet26	3298.62	310.42	1024	224	2.41	7.36	16.0
159	gernet_l	3272.91	312.859	1024	256	4.57	8.0	31.08
160	vit_small_patch32_384	3271.28	313.014	1024	384	3.45	8.25	22.92
161	tf_efficientnet_cc_b0_4e	3244.05	315.642	1024	224	0.41	9.42	13.31
162	tf_efficientnet_cc_b0_8e	3240.14	316.023	1024	224	0.42	9.42	24.01
163	mixnet_m	3205.49	319.438	1024	224	0.36	8.19	5.01
164	resnest14d	3201.02	319.884	1024	224	2.76	7.33	10.61
165	skresnet34	3189.73	321.016	1024	224	3.67	5.13	22.28
166	xcit_tiny_12_p16_224_dist	3156.96	324.349	1024	224	1.24	6.29	6.72
167	xcit_tiny_12_p16_224	3156.35	324.412	1024	224	1.24	6.29	6.72
168	resnext26ts	3110.32	329.214	1024	256	2.43	10.52	10.3
169	gmixer_12_224	3103.83	329.902	1024	224	2.67	7.26	12.7
170	legacy_seresnext26_32x4d	3102.65	330.028	1024	224	2.49	9.39	16.79
171	tf_mixnet_m	3073.07	333.204	1024	224	0.36	8.19	5.01
172	resnet26t	3052.48	335.451	1024	256	3.35	10.52	16.01
173	vit_tiny_r_s16_p8_384	3050.47	167.831	512	384	1.34	6.49	6.36
174	tf_efficientnet_b1_ns	3049.35	335.796	1024	240	0.71	10.88	7.79
175	tf_efficientnet_b1_ap	3043.26	336.469	1024	240	0.71	10.88	7.79
176	tf_efficientnet_b1	3043.05	336.492	1024	240	0.71	10.88	7.79
177	seresnext26ts	3036.78	337.182	1024	256	2.43	10.52	10.39
178	eca_resnext26ts	3034.01	337.495	1024	256	2.43	10.52	10.3
179	efficientnet_lite2	3032.0	337.716	1024	260	0.89	12.9	6.09
180	nf_regnet_b1	3025.41	338.455	1024	288	1.02	9.2	10.22
181	gcresnext26ts	2985.04	343.027	1024	256	2.43	10.53	10.48
182	ecaresnet101d_pruned	2955.16	346.499	1024	224	3.48	7.69	24.88
183	efficientnet_b1	2953.49	346.695	1024	256	0.77	12.22	7.79
184	nf_regnet_b2	2921.49	350.493	1024	272	1.22	9.27	14.31
185	seresnext26t_32x4d	2908.45	352.064	1024	224	2.7	10.09	16.81
186	seresnext26tn_32x4d	2907.22	352.213	1024	224	2.7	10.09	16.81
187	ecaresnext50t_32x4d	2903.25	352.694	1024	224	2.7	10.09	15.41
188	ecaresnext26t_32x4d	2897.07	353.448	1024	224	2.7	10.09	15.41
189	seresnext26d_32x4d	2889.43	354.382	1024	224	2.73	10.19	16.81
190	ecaresnetlight	2885.43	354.874	1024	224	4.11	8.42	30.16
191	convnext_nano_hnf	2883.27	355.139	1024	224	2.45	8.37	15.59
192	crossvit_tiny_240	2879.48	355.606	1024	240	1.57	9.08	7.01
193	tf_efficientnet_lite2	2824.56	362.522	1024	260	0.89	12.9	6.09
194	crossvit_9_240	2817.15	363.474	1024	240	1.85	9.52	8.55
195	rexnetr_200	2812.94	182.004	512	224	1.59	15.11	16.52
196	resnetv2_50	2787.72	367.312	1024	224	4.11	11.11	25.55
197	tresnet_m	2773.53	369.19	1024	224	5.74	7.31	31.39
198	rexnet_200	2765.2	185.146	512	224	1.56	14.91	16.37
199	eca_botnext26ts_256	2754.13	371.793	1024	256	2.46	11.6	10.59
200	efficientnet_b3_pruned	2735.66	374.303	1024	300	1.04	11.86	9.86
201	botnet26t_256	2735.31	374.35	1024	256	3.32	11.98	12.49
202	crossvit_9_dagger_240	2731.57	374.862	1024	240	1.99	9.97	8.78
203	eca_halonext26ts	2696.48	379.742	1024	256	2.44	11.46	10.76
204	resnet50	2695.53	379.874	1024	224	4.11	11.11	25.56
205	tv_resnet50	2695.5	379.879	1024	224	4.11	11.11	25.56
206	halonet26t	2694.88	379.966	1024	256	3.19	11.69	12.48
207	swsl_resnet50	2694.7	379.993	1024	224	4.11	11.11	25.56
208	gluon_resnet50_v1b	2693.21	380.199	1024	224	4.11	11.11	25.56
209	ssl_resnet50	2691.71	380.414	1024	224	4.11	11.11	25.56
210	convit_tiny	2683.21	381.617	1024	224	1.26	7.94	5.71
211	hrnet_w18_small_v2	2645.65	387.038	1024	224	2.62	9.65	15.6
212	resnetv2_50d	2626.53	389.852	1024	224	4.35	11.92	25.57
213	resnetv2_50t	2624.52	390.152	1024	224	4.32	11.82	25.57
214	vovnet39a	2619.13	390.954	1024	224	7.09	6.73	22.6
215	vit_small_resnet26d_224	2608.49	392.55	1024	224	5.07	11.12	63.61
216	vit_base2_patch32_256	2600.96	393.689	1024	256	7.79	7.76	119.46
217	resnet32ts	2596.05	394.433	1024	256	4.63	11.58	17.96
218	bat_resnext26ts	2595.92	394.45	1024	256	2.53	12.51	10.73
219	cspresnet50	2575.36	397.599	1024	256	4.54	11.5	21.62
220	resnet33ts	2567.21	398.865	1024	256	4.76	11.66	19.68
221	dpn68b	2553.11	401.065	1024	224	2.35	10.47	12.61
222	gluon_resnet50_v1c	2551.88	401.26	1024	224	4.35	11.92	25.58
223	ese_vovnet39b	2548.89	401.728	1024	224	7.09	6.74	24.57
224	eca_vovnet39b	2541.8	402.85	1024	224	7.09	6.74	22.6
225	cspresnext50	2540.21	403.103	1024	224	3.1	12.14	20.57
226	gmlp_ti16_224	2538.75	403.335	1024	224	1.34	7.55	5.87
227	resnet50t	2537.39	403.552	1024	224	4.32	11.82	25.57
228	legacy_seresnet50	2533.72	404.136	1024	224	3.88	10.6	28.09
229	gluon_resnet50_v1d	2530.95	404.578	1024	224	4.35	11.92	25.58
230	resnet50d	2529.63	404.786	1024	224	4.35	11.92	25.58
231	dpn68	2517.34	406.764	1024	224	2.35	10.47	12.61
232	vgg11_bn	2508.2	204.119	512	224	7.62	7.44	132.87
233	selecsls84	2496.95	410.085	1024	224	5.9	7.57	50.95
234	seresnet33ts	2496.28	410.197	1024	256	4.76	11.66	19.78
235	eca_resnet33ts	2490.37	411.17	1024	256	4.76	11.66	19.68
236	efficientnet_b0_gn	2478.81	413.089	1024	224	0.42	6.75	5.29
237	gcresnet33ts	2444.46	418.89	1024	256	4.76	11.68	19.88
238	deit_small_patch16_224	2440.46	419.58	1024	224	4.61	11.95	22.05
239	vit_small_patch16_224	2439.92	419.672	1024	224	4.61	11.95	22.05
240	pit_s_224	2435.64	420.407	1024	224	2.88	11.56	23.46
241	mixnet_l	2434.72	210.28	512	224	0.58	10.84	7.33
242	lambda_resnet26t	2428.26	421.688	1024	256	3.02	11.87	10.96
243	cspresnet50w	2424.86	422.28	1024	256	5.04	12.19	28.12
244	pit_s_distilled_224	2412.77	424.396	1024	224	2.9	11.64	24.04
245	cspresnet50d	2411.73	424.578	1024	256	4.86	12.55	21.64
246	seresnet50	2411.59	424.604	1024	224	4.11	11.13	28.09
247	deit_small_distilled_patch16_224	2408.06	425.226	1024	224	4.63	12.02	22.44
248	mobilevit_xs	2390.72	214.149	512	256	1.05	16.33	2.32
249	dla60	2381.05	430.049	1024	224	4.26	10.16	22.04
250	tf_efficientnet_b2	2362.66	433.397	1024	260	1.02	13.83	9.11
251	tf_efficientnet_b2_ns	2360.61	433.773	1024	260	1.02	13.83	9.11
252	tf_efficientnet_b2_ap	2357.47	434.351	1024	260	1.02	13.83	9.11
253	densenet121	2354.51	434.897	1024	224	2.87	6.9	7.98
254	tv_densenet121	2349.07	435.903	1024	224	2.87	6.9	7.98
255	tf_mixnet_l	2339.37	218.851	512	224	0.58	10.84	7.33
256	resnest26d	2327.85	439.878	1024	224	3.64	9.97	17.07
257	resnetaa50d	2303.21	444.583	1024	224	5.39	12.44	25.58
258	seresnet50t	2290.22	447.107	1024	224	4.32	11.83	28.1
259	res2net50_48w_2s	2276.16	449.868	1024	224	4.18	11.72	25.29
260	resnetblur50	2275.68	449.961	1024	224	5.16	12.02	25.56
261	ecaresnet50d	2271.69	450.753	1024	224	4.35	11.93	25.58
262	haloregnetz_b	2267.5	451.584	1024	224	1.97	11.94	11.68
263	resmlp_24_224	2261.81	452.72	1024	224	5.96	10.91	30.02
264	resmlp_24_distilled_224	2260.86	452.909	1024	224	5.96	10.91	30.02
265	densenet121d	2250.37	455.023	1024	224	3.11	7.7	8.0
266	resnetrs50	2250.35	455.026	1024	224	4.48	12.14	35.69
267	efficientnet_b0_g8_gn	2225.86	460.033	1024	224	0.66	6.75	6.56
268	regnetx_032	2206.94	463.978	1024	224	3.2	11.37	15.3
269	efficientnet_b2	2203.49	464.703	1024	288	1.12	16.2	9.11
270	efficientnet_b2a	2199.86	465.471	1024	288	1.12	16.2	9.11
271	gluon_resnet50_v1s	2199.02	465.65	1024	224	5.47	13.52	25.68
272	visformer_small	2180.09	469.693	1024	224	4.88	11.43	40.22
273	adv_inception_v3	2153.56	475.475	1024	299	5.73	8.97	23.83
274	tf_inception_v3	2151.76	475.872	1024	299	5.73	8.97	23.83
275	inception_v3	2150.38	476.182	1024	299	5.73	8.97	23.83
276	resnetblur50d	2147.4	476.842	1024	224	5.4	12.82	25.58
277	gluon_inception_v3	2143.59	477.682	1024	299	5.73	8.97	23.83
278	vovnet57a	2143.19	477.778	1024	224	8.95	7.52	36.64
279	efficientnet_cc_b1_8e	2141.85	478.078	1024	240	0.75	15.44	39.72
280	densenetblur121d	2137.06	479.149	1024	224	3.11	7.9	8.0
281	cspresnext50_iabn	2134.77	479.664	1024	256	4.02	15.86	20.57
282	efficientnet_em	2126.8	481.463	1024	240	3.04	14.34	6.9
283	vit_base_resnet26d_224	2112.13	484.804	1024	224	6.97	13.16	101.4
284	cspdarknet53_iabn	2094.24	488.947	1024	256	6.53	16.81	27.64
285	seresnetaa50d	2085.24	491.057	1024	224	5.4	12.46	28.11
286	ese_vovnet57b	2083.49	491.467	1024	224	8.95	7.52	38.61
287	ssl_resnext50_32x4d	2081.05	492.045	1024	224	4.26	14.4	25.03
288	swsl_resnext50_32x4d	2080.34	492.214	1024	224	4.26	14.4	25.03
289	gluon_resnext50_32x4d	2080.29	492.225	1024	224	4.26	14.4	25.03
290	tv_resnext50_32x4d	2079.74	492.355	1024	224	4.26	14.4	25.03
291	resnext50_32x4d	2076.82	493.048	1024	224	4.26	14.4	25.03
292	tf_efficientnet_em	2070.88	494.462	1024	240	3.04	14.34	6.9
293	tf_efficientnet_cc_b1_8e	2062.84	496.39	1024	240	0.75	15.44	39.72
294	res2net50_26w_4s	2042.43	501.35	1024	224	4.28	12.61	25.7
295	tf_efficientnetv2_b3	2017.91	507.444	1024	300	3.04	15.74	14.36
296	skresnet50	2017.85	507.457	1024	224	4.11	12.5	25.8
297	nf_seresnet50	2013.68	508.507	1024	224	4.21	11.13	28.09
298	regnetx_040	2006.2	510.404	1024	224	3.99	12.2	22.12
299	nf_ecaresnet50	2003.47	511.102	1024	224	4.21	11.13	25.56
300	efficientnetv2_rw_t	2000.48	511.861	1024	288	3.19	16.42	13.65
301	gcresnet50t	1986.86	515.369	1024	256	5.42	14.67	25.9
302	dla60x	1985.6	515.699	1024	224	3.54	13.8	17.35
303	resnext50d_32x4d	1981.96	516.647	1024	224	4.5	15.2	25.05
304	gc_efficientnetv2_rw_t	1932.03	529.997	1024	288	3.2	16.45	13.68
305	convnext_tiny_hnf	1928.02	531.1	1024	224	4.47	13.44	28.59
306	res2net50_14w_8s	1927.65	531.204	1024	224	4.21	13.28	25.06
307	sehalonet33ts	1927.17	265.662	512	256	3.55	14.7	13.69
308	skresnet50d	1925.97	531.666	1024	224	4.36	13.31	25.82
309	densenet169	1921.61	532.872	1024	224	3.4	7.3	14.15
310	gcresnext50ts	1919.22	533.536	1024	256	3.75	15.46	15.67
311	dla60_res2net	1910.95	535.844	1024	224	4.15	12.34	20.85
312	seresnext50_32x4d	1907.77	536.737	1024	224	4.26	14.42	27.56
313	res2next50	1905.88	537.271	1024	224	4.2	13.71	24.67
314	gluon_seresnext50_32x4d	1905.67	537.33	1024	224	4.26	14.42	27.56
315	legacy_seresnext50_32x4d	1903.73	537.877	1024	224	4.26	14.42	27.56
316	lambda_resnet26rpt_256	1903.17	269.013	512	256	3.16	11.87	10.99
317	mobilevit_s	1899.79	269.492	512	256	2.03	19.94	5.58
318	repvgg_b1g4	1890.54	541.63	1024	224	8.15	10.64	39.97
319	resnest50d_1s4x24d	1888.24	542.29	1024	224	4.43	13.57	25.68
320	darknet53	1853.82	276.175	512	256	9.31	12.39	41.61
321	coat_lite_tiny	1848.83	553.849	1024	224	1.6	11.65	5.72
322	nf_regnet_b3	1839.82	556.565	1024	320	2.05	14.61	18.59
323	dla60_res2next	1833.06	558.612	1024	224	3.49	13.17	17.03
324	cspdarknet53	1812.82	282.421	512	256	6.57	16.81	27.64
325	semobilevit_s	1803.13	283.938	512	256	2.03	19.95	5.74
326	efficientnet_lite3	1799.71	284.476	512	300	1.65	21.85	8.2
327	regnetz_b16	1794.65	570.57	1024	288	2.39	16.43	9.72
328	ecaresnet26t	1785.57	573.473	1024	320	5.24	16.44	16.01
329	coat_lite_mini	1766.02	579.817	1024	224	2.0	12.25	11.01
330	poolformer_s24	1765.88	579.868	1024	224	3.41	10.68	21.39
331	mixnet_xl	1734.71	295.138	512	224	0.93	14.57	11.9
332	vit_small_r26_s32_224	1732.3	591.11	1024	224	3.56	9.85	36.43
333	resnetv2_101	1697.95	603.065	1024	224	7.83	16.23	44.54
334	xcit_tiny_24_p16_224_dist	1687.36	606.851	1024	224	2.34	11.82	12.12
335	xcit_tiny_24_p16_224	1682.06	608.762	1024	224	2.34	11.82	12.12
336	tf_efficientnet_lite3	1679.33	304.873	512	300	1.65	21.85	8.2
337	repvgg_b1	1666.24	614.545	1024	224	13.16	10.64	57.42
338	sebotnet33ts_256	1660.84	231.195	384	256	3.89	17.46	13.7
339	tv_resnet101	1659.62	616.997	1024	224	7.83	16.23	44.55
340	gluon_resnet101_v1b	1659.37	617.087	1024	224	7.83	16.23	44.55
341	convnext_tiny	1658.71	617.331	1024	224	4.47	13.44	28.59
342	resnet101	1655.84	618.405	1024	224	7.83	16.23	44.55
343	xcit_small_12_p16_224_dist	1652.32	619.718	1024	224	4.82	12.58	26.25
344	xcit_small_12_p16_224	1648.97	620.98	1024	224	4.82	12.58	26.25
345	resnetv2_101d	1631.54	627.614	1024	224	8.07	17.04	44.56
346	vit_base_resnet50d_224	1631.31	627.703	1024	224	8.73	16.92	110.97
347	lambda_resnet50ts	1601.2	639.507	1024	256	5.07	17.48	21.54
348	gluon_resnet101_v1c	1600.5	639.785	1024	224	8.08	17.04	44.57
349	gluon_resnet101_v1d	1596.44	641.412	1024	224	8.08	17.04	44.57
350	dla102	1582.26	647.16	1024	224	7.19	14.18	33.27
351	gmixer_24_224	1582.16	647.204	1024	224	5.28	14.45	24.72
352	wide_resnet50_2	1579.37	648.345	1024	224	11.43	14.4	68.88
353	twins_svt_small	1577.35	649.176	1024	224	2.94	13.75	24.06
354	resnest50d	1570.05	652.193	1024	224	5.4	14.36	27.48
355	res2net50_26w_6s	1562.92	655.169	1024	224	6.33	15.28	37.05
356	regnetx_080	1553.61	659.095	1024	224	8.02	14.06	39.57
357	crossvit_small_240	1546.63	662.07	1024	240	5.63	18.17	26.86
358	xcit_nano_12_p16_384_dist	1543.06	663.599	1024	384	1.64	12.15	3.05
359	resnetv2_50x1_bit_distilled	1541.41	664.315	1024	224	4.23	11.11	25.55
360	legacy_seresnet101	1534.0	667.522	1024	224	7.61	15.74	49.33
361	resmlp_36_224	1516.69	675.14	1024	224	8.91	16.33	44.69
362	resmlp_36_distilled_224	1515.97	675.455	1024	224	8.91	16.33	44.69
363	halonet50ts	1506.38	679.762	1024	256	5.3	19.2	22.73
364	resnetaa101d	1500.11	682.602	1024	224	9.12	17.56	44.57
365	vgg13_bn	1493.45	342.818	512	224	11.33	12.25	133.05
366	densenet201	1492.3	686.177	1024	224	4.34	7.85	20.01
367	seresnet101	1488.58	687.891	1024	224	7.84	16.27	49.33
368	vit_large_patch32_224	1480.53	691.629	1024	224	15.39	13.3	306.54
369	fbnetv3_g	1476.24	693.641	1024	288	1.77	21.09	16.62
370	ese_vovnet39b_evos	1470.17	696.502	1024	224	7.07	6.74	24.58
371	convnext_tiny_hnfd	1463.28	699.785	1024	224	4.78	14.64	28.63
372	gluon_resnet101_v1s	1458.5	702.078	1024	224	9.19	18.64	44.67
373	regnetx_064	1451.61	352.7	512	224	6.49	16.37	26.21
374	nf_resnet101	1444.19	709.036	1024	224	8.01	16.23	44.55
375	lamhalobotnet50ts_256	1432.71	714.715	1024	256	5.02	18.44	22.57
376	resnetblur101d	1431.35	715.392	1024	224	9.12	17.94	44.57
377	ecaresnet101d	1429.1	716.517	1024	224	8.08	17.07	44.57
378	nf_resnet50	1421.81	720.193	1024	288	6.88	18.37	25.56
379	hrnet_w18	1420.84	720.684	1024	224	4.32	16.31	21.3
380	vit_base_r26_s32_224	1419.32	721.457	1024	224	6.81	12.36	101.38
381	crossvit_15_240	1416.83	722.727	1024	240	5.81	19.77	27.53
382	tresnet_l	1403.47	729.603	1024	224	10.88	11.9	55.99
383	gmlp_s16_224	1393.69	734.725	1024	224	4.42	15.1	19.42
384	resnetv2_50d_frn	1389.08	737.162	1024	224	4.33	11.92	25.59
385	regnety_032	1387.11	738.212	1024	288	5.29	18.61	19.44
386	tf_efficientnet_b3_ap	1384.27	369.858	512	300	1.87	23.83	12.23
387	tf_efficientnet_b3	1382.58	370.309	512	300	1.87	23.83	12.23
388	tf_efficientnet_b3_ns	1381.54	370.587	512	300	1.87	23.83	12.23
389	mixer_l32_224	1377.05	743.605	1024	224	11.27	19.86	206.94
390	vit_base_patch32_384	1375.53	744.425	1024	384	13.06	16.5	88.3
391	crossvit_15_dagger_240	1372.46	746.094	1024	240	6.13	20.43	28.21
392	resnet51q	1370.65	747.074	1024	288	8.07	20.94	35.7
393	resnet50_gn	1358.57	753.722	1024	224	4.14	11.11	25.56
394	cait_xxs24_224	1351.39	757.722	1024	224	2.53	20.29	11.96
395	efficientnet_b3	1344.22	380.877	512	320	2.01	26.52	12.23
396	efficientnet_b3a	1343.43	381.1	512	320	2.01	26.52	12.23
397	xception	1343.1	381.193	512	299	8.4	35.83	22.86
398	dla102x	1336.12	766.382	1024	224	5.89	19.42	26.31
399	mixer_b16_224	1331.47	769.062	1024	224	12.62	14.53	59.88
400	mixer_b16_224_miil	1329.31	770.309	1024	224	12.62	14.53	59.88
401	skresnext50_32x4d	1318.82	776.433	1024	224	4.5	17.18	27.48
402	botnet50ts_256	1318.29	388.369	512	256	5.54	22.23	22.74
403	swsl_resnext101_32x4d	1313.68	779.478	1024	224	8.01	21.23	44.18
404	gluon_resnext101_32x4d	1313.37	779.659	1024	224	8.01	21.23	44.18
405	resnext101_32x4d	1312.5	780.172	1024	224	8.01	21.23	44.18
406	ssl_resnext101_32x4d	1311.93	780.515	1024	224	8.01	21.23	44.18
407	resnetv2_50d_evob	1302.41	786.222	1024	224	4.33	11.92	25.59
408	repvgg_b2g4	1294.35	791.118	1024	224	12.63	12.9	61.76
409	swin_tiny_patch4_window7_224	1284.93	796.915	1024	224	4.51	17.06	28.29
410	res2net50_26w_8s	1282.33	798.529	1024	224	8.37	17.95	48.4
411	res2net101_26w_4s	1280.42	799.726	1024	224	8.1	18.45	45.21
412	halo2botnet50ts_256	1278.73	400.387	512	256	5.02	21.78	22.64
413	twins_pcpvt_small	1266.87	808.275	1024	224	3.83	18.08	24.11
414	resnest50d_4s2x40d	1247.1	821.089	1024	224	4.4	17.94	30.42
415	nf_seresnet101	1245.83	821.925	1024	224	8.02	16.27	49.33
416	resnet61q	1239.28	826.269	1024	288	9.87	21.52	36.85
417	vgg16_bn	1239.15	413.174	512	224	15.5	13.56	138.37
418	nf_ecaresnet101	1239.13	826.374	1024	224	8.01	16.27	44.55
419	eca_nfnet_l0	1229.58	832.793	1024	288	7.12	17.29	24.14
420	hrnet_w32	1229.04	833.146	1024	224	8.97	22.02	41.23
421	xception41p	1223.32	418.518	512	299	9.25	39.86	26.91
422	nfnet_l0	1223.17	837.152	1024	288	7.13	17.29	35.07
423	ese_vovnet99b_iabn	1219.1	839.947	1024	224	16.49	11.27	63.2
424	convit_small	1215.88	842.173	1024	224	5.76	17.87	27.78
425	hrnet_w30	1211.94	844.908	1024	224	8.15	21.21	37.71
426	regnety_040	1211.74	422.521	512	288	6.61	20.3	20.65
427	regnetv_040	1210.32	423.017	512	288	6.6	20.3	20.64
428	vit_tiny_patch16_384	1209.55	846.58	1024	384	4.7	25.39	5.79
429	dpn92	1207.37	848.107	1024	224	6.54	18.21	37.67
430	seresnext101_32x4d	1202.94	851.233	1024	224	8.02	21.26	48.96
431	gluon_seresnext101_32x4d	1201.66	852.139	1024	224	8.02	21.26	48.96
432	legacy_seresnext101_32x4d	1201.03	852.591	1024	224	8.02	21.26	48.96
433	swin_s3_tiny_224	1197.86	854.845	1024	224	4.64	19.13	28.33
434	poolformer_s36	1192.85	858.435	1024	224	5.0	15.82	30.86
435	ese_vovnet99b	1182.33	866.068	1024	224	16.51	11.27	63.2
436	resnetv2_152	1176.91	870.059	1024	224	11.55	22.56	60.19
437	xcit_nano_12_p8_224_dist	1168.85	876.058	1024	224	2.16	15.71	3.05
438	xcit_nano_12_p8_224	1164.34	879.454	1024	224	2.16	15.71	3.05
439	gluon_resnet152_v1b	1158.23	884.096	1024	224	11.56	22.56	60.19
440	tv_resnet152	1157.57	884.6	1024	224	11.56	22.56	60.19
441	resnet152	1156.18	885.659	1024	224	11.56	22.56	60.19
442	resnetv2_152d	1145.88	893.624	1024	224	11.8	23.36	60.2
443	regnetz_c16	1139.93	449.135	512	320	3.92	25.88	13.46
444	ecaresnet50t	1137.76	900.002	1024	320	8.82	24.13	25.57
445	repvgg_b2	1135.04	902.153	1024	224	20.45	12.9	89.02
446	gluon_resnet152_v1c	1127.87	907.895	1024	224	11.8	23.36	60.21
447	gluon_resnet152_v1d	1126.2	909.24	1024	224	11.8	23.36	60.21
448	inception_v4	1102.19	929.046	1024	299	12.28	15.09	42.68
449	regnety_040s_gn	1097.43	933.073	1024	224	4.03	12.29	20.65
450	swin_v2_cr_tiny_224	1095.67	934.572	1024	224	4.66	30.64	28.33
451	convnext_small	1094.72	935.388	1024	224	8.7	21.56	50.22
452	xception41	1088.12	470.521	512	299	9.28	39.86	26.97
453	convmixer_1024_20_ks9_p14	1086.94	942.076	1024	224	5.55	5.51	24.38
454	vit_small_resnet50d_s16_224	1086.45	942.502	1024	224	13.48	24.82	57.53
455	xcit_tiny_12_p16_384_dist	1082.39	946.043	1024	384	3.64	18.26	6.72
456	densenet161	1080.13	948.016	1024	224	7.79	11.06	28.68
457	mixnet_xxl	1077.24	356.453	384	224	2.04	23.43	23.96
458	dla169	1074.25	953.209	1024	224	11.6	20.2	53.39
459	nfnet_f0	1065.5	961.034	1024	256	12.62	18.05	71.49
460	legacy_seresnet152	1057.8	968.029	1024	224	11.33	22.08	66.82
461	gluon_resnet152_v1s	1056.41	969.306	1024	224	12.92	24.96	60.32
462	vgg19_bn	1055.4	485.111	512	224	19.66	14.86	143.68
463	regnetx_120	1050.75	487.26	512	224	12.13	21.37	46.11
464	nest_tiny	1050.35	487.443	512	224	5.83	25.48	17.06
465	coat_lite_small	1048.4	976.705	1024	224	3.96	22.09	19.84
466	vit_base_patch16_224_miil	1045.49	979.427	1024	224	17.58	23.9	86.54
467	crossvit_18_240	1039.49	985.088	1024	240	9.05	26.26	43.27
468	swin_v2_cr_tiny_ns_224	1039.03	985.521	1024	224	4.66	30.64	28.33
469	tresnet_xl	1037.95	986.545	1024	224	15.17	15.34	78.44
470	jx_nest_tiny	1035.86	494.265	512	224	5.83	25.48	17.06
471	seresnet152	1034.7	989.644	1024	224	11.57	22.61	66.82
472	deit_base_patch16_224	1019.44	1004.455	1024	224	17.58	23.9	86.57
473	vit_base_patch16_224_sam	1015.42	1008.432	1024	224	17.58	23.9	86.57
474	vit_base_patch16_224	1014.98	1008.871	1024	224	17.58	23.9	86.57
475	crossvit_18_dagger_240	1009.97	1013.877	1024	240	9.5	27.03	44.27
476	deit_base_distilled_patch16_224	1007.07	1016.791	1024	224	17.68	24.05	87.34
477	regnety_120	1005.22	509.326	512	224	12.14	21.38	51.82
478	repvgg_b3g4	1002.6	1021.328	1024	224	17.89	15.1	83.83
479	volo_d1_224	967.03	1058.901	1024	224	6.94	24.43	26.63
480	efficientnet_el_pruned	948.42	539.83	512	300	8.0	30.7	10.59
481	efficientnet_el	942.13	543.435	512	300	8.0	30.7	10.59
482	dm_nfnet_f0	931.91	1098.8	1024	256	12.62	18.05	71.49
483	twins_pcpvt_base	930.89	1100.003	1024	224	6.68	25.25	43.83
484	beit_base_patch16_224	930.84	1100.061	1024	224	17.58	23.9	86.53
485	tf_efficientnet_el	925.74	553.06	512	300	8.0	30.7	10.59
486	wide_resnet101_2	916.19	1117.657	1024	224	22.8	21.23	126.89
487	twins_svt_base	914.55	1119.66	1024	224	8.59	26.33	56.07
488	dla102x2	911.45	561.725	512	224	9.34	29.91	41.28
489	cait_xxs36_224	908.72	1126.845	1024	224	3.77	30.34	17.3
490	efficientnetv2_s	907.0	1128.974	1024	384	8.44	35.77	21.46
491	resnetv2_50d_gn	896.28	1142.488	1024	288	7.24	19.7	25.57
492	xception65p	889.27	575.737	512	299	13.91	52.48	39.82
493	repvgg_b3	888.16	1152.929	1024	224	29.16	15.1	123.09
494	tf_efficientnetv2_s_in21ft1k	886.83	1154.656	1024	384	8.44	35.77	21.46
495	tf_efficientnetv2_s	886.38	1155.25	1024	384	8.44	35.77	21.46
496	xcit_small_24_p16_224_dist	880.14	1163.431	1024	224	9.1	23.64	47.67
497	xcit_small_24_p16_224	879.96	1163.673	1024	224	9.1	23.64	47.67
498	resnetrs101	879.92	1163.729	1024	288	13.56	28.53	63.62
499	efficientnetv2_rw_s	866.42	1181.861	1024	384	8.72	38.03	23.94
500	dpn98	864.11	1185.015	1024	224	11.73	25.2	61.57
501	pit_b_224	862.79	593.411	512	224	12.42	32.94	73.76
502	ens_adv_inception_resnet_v2	856.99	1194.864	1024	299	13.18	25.06	55.84
503	inception_resnet_v2	856.96	1194.905	1024	299	13.18	25.06	55.84
504	pit_b_distilled_224	854.69	599.032	512	224	12.5	33.07	74.79
505	nf_regnet_b4	850.27	1204.313	1024	384	4.7	28.61	30.21
506	regnetx_160	849.7	602.551	512	224	15.99	25.52	54.28
507	regnetz_d8	849.19	1205.844	1024	320	6.19	37.08	23.37
508	swin_small_patch4_window7_224	843.01	1214.681	1024	224	8.77	27.47	49.61
509	gluon_resnext101_64x4d	836.35	1224.352	1024	224	15.52	31.21	83.46
510	resnet200	830.77	1232.576	1024	224	15.07	32.19	64.67
511	regnetz_040	828.17	463.661	384	320	6.35	37.78	27.12
512	regnetz_040h	823.76	466.142	384	320	6.43	37.94	28.94
513	efficientnet_lite4	822.06	467.103	384	380	4.04	45.66	13.01
514	hrnet_w40	819.73	1249.18	1024	224	12.75	25.29	57.56
515	convnext_base	817.5	1252.582	1024	224	15.38	28.75	88.59
516	xcit_tiny_12_p8_224	817.02	1253.32	1024	224	4.81	23.6	6.71
517	convnext_base_in22ft1k	816.83	1253.608	1024	224	15.38	28.75	88.59
518	xcit_tiny_12_p8_224_dist	816.44	1254.214	1024	224	4.81	23.6	6.71
519	convnext_small_in22ft1k	815.72	1255.315	1024	224	15.38	28.75	88.59
520	convnext_tiny_in22ft1k	814.36	1257.407	1024	224	15.38	28.75	88.59
521	regnetz_b16_evos	811.63	630.813	512	288	2.36	16.43	9.74
522	swsl_resnext101_32x8d	805.58	1271.112	1024	224	16.48	31.21	88.79
523	regnety_064	804.87	636.11	512	288	10.56	27.11	30.58
524	ssl_resnext101_32x8d	804.25	1273.227	1024	224	16.48	31.21	88.79
525	ig_resnext101_32x8d	804.24	1273.235	1024	224	16.48	31.21	88.79
526	resnext101_32x8d	804.11	1273.443	1024	224	16.48	31.21	88.79
527	regnetv_064	800.78	639.366	512	288	10.55	27.11	30.58
528	gluon_xception65	800.14	639.877	512	299	13.96	52.48	39.92
529	poolformer_m36	799.89	1280.164	1024	224	8.8	22.02	56.17
530	resnet101d	798.53	1282.345	1024	320	16.48	34.77	44.57
531	xception65	794.53	644.391	512	299	13.96	52.48	39.92
532	gluon_seresnext101_64x4d	789.66	1296.749	1024	224	15.53	31.25	88.23
533	vit_small_patch16_36x1_224	784.3	1305.61	1024	224	13.71	35.69	64.67
534	resnest101e	783.74	653.265	512	256	13.38	28.66	48.28
535	tf_efficientnet_lite4	778.05	493.528	384	380	4.04	45.66	13.01
536	vit_small_patch16_18x2_224	770.15	1329.591	1024	224	13.71	35.69	64.67
537	regnety_080	769.02	665.77	512	288	13.22	29.69	39.18
538	resnetv2_50d_evos	763.22	670.828	512	288	7.15	19.7	25.59
539	hrnet_w44	761.56	1344.592	1024	224	14.94	26.92	67.06
540	cait_s24_224	750.62	1364.194	1024	224	9.35	40.58	46.92
541	tresnet_m_448	731.85	1399.173	1024	448	22.94	29.21	31.39
542	hrnet_w48	731.58	1399.696	1024	224	17.34	28.56	77.47
543	coat_tiny	725.92	1410.611	1024	224	4.35	27.2	5.5
544	regnetz_d32	725.1	1412.192	1024	320	9.33	37.08	27.58
545	swin_v2_cr_small_224	711.79	1438.61	1024	224	9.08	53.85	49.7
546	nest_small	704.65	726.593	512	224	10.35	40.04	38.35
547	vit_large_r50_s32_224	704.05	1454.417	1024	224	19.58	24.41	328.99
548	jx_nest_small	698.33	733.168	512	224	10.35	40.04	38.35
549	twins_svt_large	697.37	1468.361	1024	224	15.15	35.1	99.27
550	crossvit_base_240	692.97	738.833	512	240	21.22	36.33	105.03
551	efficientnet_b4	680.87	563.972	384	384	4.51	50.04	19.34
552	twins_pcpvt_large	679.24	1507.549	1024	224	9.84	35.82	60.99
553	gmlp_b16_224	668.45	1531.889	1024	224	15.78	30.21	73.08
554	swin_s3_small_224	655.58	780.974	512	224	9.43	37.84	49.74
555	tf_efficientnet_b4	650.11	590.654	384	380	4.49	49.49	19.34
556	tf_efficientnet_b4_ns	650.01	590.745	384	380	4.49	49.49	19.34
557	tf_efficientnet_b4_ap	649.91	590.836	384	380	4.49	49.49	19.34
558	densenet264d_iabn	648.39	1579.29	1024	224	13.47	14.0	72.74
559	xcit_medium_24_p16_224	643.54	1591.196	1024	224	16.13	31.71	84.4
560	xcit_medium_24_p16_224_dist	643.46	1591.39	1024	224	16.13	31.71	84.4
561	convit_base	640.59	1598.504	1024	224	17.52	31.77	86.54
562	swin_base_patch4_window7_224	637.77	1605.59	1024	224	15.47	36.63	87.77
563	dpn131	636.07	1609.871	1024	224	16.09	32.97	79.25
564	densenet264	630.43	1624.264	1024	224	12.95	12.8	72.69
565	vit_small_patch16_384	609.69	839.76	512	384	15.52	50.78	22.2
566	coat_mini	609.64	1679.655	1024	224	6.82	33.68	10.34
567	poolformer_m48	602.84	1698.613	1024	224	11.59	29.17	73.47
568	xception71	601.65	850.98	512	299	18.09	69.92	42.34
569	hrnet_w64	601.51	1702.355	1024	224	28.97	35.09	128.06
570	efficientnet_b3_gn	590.02	433.867	256	320	2.14	28.83	11.73
571	vit_small_r26_s32_384	588.06	652.978	384	384	10.43	29.85	36.47
572	senet154	584.6	1751.617	1024	224	20.77	38.69	115.09
573	gluon_senet154	583.36	1755.334	1024	224	20.77	38.69	115.09
574	legacy_senet154	583.3	1755.507	1024	224	20.77	38.69	115.09
575	dpn107	579.63	1766.612	1024	224	18.38	33.46	86.92
576	xcit_tiny_24_p16_384_dist	575.62	1778.929	1024	384	6.87	34.29	12.12
577	eca_nfnet_l1	574.09	1783.68	1024	320	14.92	34.42	41.41
578	vit_base_r50_s16_224	571.98	1790.263	1024	224	21.66	35.29	98.66
579	seresnet200d	564.7	1813.347	1024	256	20.01	43.15	71.86
580	resnet152d	563.14	1818.348	1024	320	24.08	47.67	60.21
581	ecaresnet200d	561.62	1823.283	1024	256	20.0	43.15	64.69
582	xcit_small_12_p16_384_dist	554.2	1847.68	1024	384	14.14	36.51	26.25
583	volo_d2_224	554.02	1848.29	1024	224	14.34	41.34	58.68
584	swin_v2_cr_base_224	537.55	1904.924	1024	224	15.86	64.42	87.88
585	regnety_320	535.71	955.723	512	224	32.34	30.26	145.05
586	swin_s3_base_224	533.55	1919.195	1024	224	13.69	48.26	71.13
587	nest_base	529.87	966.265	512	224	17.96	53.39	67.72
588	jx_nest_base	524.97	975.286	512	224	17.96	53.39	67.72
589	regnety_160	524.88	731.579	384	288	26.37	38.07	83.59
590	regnetz_c16_evos	513.17	997.712	512	320	3.86	25.88	13.49
591	efficientnet_b3_g8_gn	512.15	499.838	256	320	3.2	28.83	14.25
592	resnext101_64x4d	508.2	1007.467	512	288	25.66	51.59	83.46
593	tnt_s_patch16_224	505.05	2027.493	1024	224	5.24	24.37	23.76
594	seresnet152d	504.9	2028.105	1024	320	24.09	47.72	66.84
595	resnetrs152	501.47	2041.965	1024	320	24.34	48.14	86.62
596	convnext_large	487.74	1049.73	512	224	34.4	43.13	197.77
597	convnext_large_in22ft1k	486.41	1052.606	512	224	34.4	43.13	197.77
598	vit_large_patch32_384	473.23	2163.856	1024	384	45.31	43.86	306.63
599	regnetx_320	469.34	818.147	384	224	31.81	36.3	107.81
600	halonet_h1	463.9	551.835	256	256	3.0	51.17	8.1
601	seresnext101_32x8d	462.9	1106.059	512	288	27.24	51.63	93.57
602	regnetz_e8	453.82	1128.184	512	320	15.46	63.94	57.7
603	mixer_l16_224	443.19	2310.528	1024	224	44.6	41.69	208.2
604	seresnet269d	441.96	2316.951	1024	256	26.59	53.6	113.67
605	efficientnetv2_m	441.46	2319.557	1024	416	18.6	67.5	54.14
606	xcit_tiny_24_p8_224	429.28	2385.382	1024	224	9.21	45.39	12.11
607	xcit_tiny_24_p8_224_dist	428.77	2388.186	1024	224	9.21	45.39	12.11
608	xcit_small_12_p8_224	419.27	2442.349	1024	224	18.69	47.21	26.21
609	xcit_small_12_p8_224_dist	419.19	2442.766	1024	224	18.69	47.21	26.21
610	efficientnetv2_rw_m	406.5	1259.53	512	416	21.49	79.62	53.24
611	resnet200d	405.44	2525.643	1024	320	31.25	67.33	64.69
612	tnt_b_patch16_224	396.78	2580.753	1024	224	14.09	39.01	65.41
613	swin_large_patch4_window7_224	395.25	1295.372	512	224	34.53	54.94	196.53
614	resnetv2_50x1_bitm	393.49	975.875	384	448	16.62	44.46	25.55
615	xcit_nano_12_p8_384_dist	392.55	2608.577	1024	384	6.34	46.08	3.05
616	xcit_large_24_p16_224_dist	389.81	2626.888	1024	224	35.86	47.27	189.1
617	xcit_large_24_p16_224	389.64	2628.072	1024	224	35.86	47.27	189.1
618	volo_d3_224	388.78	2633.839	1024	224	20.78	60.09	86.33
619	ig_resnext101_32x16d	374.93	1365.563	512	224	36.27	51.18	194.03
620	swsl_resnext101_32x16d	374.73	1366.289	512	224	36.27	51.18	194.03
621	ssl_resnext101_32x16d	374.63	1366.656	512	224	36.27	51.18	194.03
622	tresnet_l_448	362.23	2826.92	1024	448	43.5	47.56	55.99
623	resnetrs200	359.53	2848.13	1024	320	31.51	67.81	93.21
624	regnetz_d8_evos	355.41	1440.558	512	320	7.03	38.92	23.46
625	nfnet_f1	354.11	2891.708	1024	320	35.97	46.77	132.63
626	tf_efficientnetv2_m	344.99	1484.089	512	480	24.76	89.84	54.14
627	tf_efficientnetv2_m_in21ft1k	344.95	1484.253	512	480	24.76	89.84	54.14
628	vit_large_patch16_224	341.74	2996.381	1024	224	61.6	63.52	304.33
629	efficientnet_b5	336.97	759.686	256	456	10.46	98.86	30.39
630	dm_nfnet_f1	336.55	1521.307	512	320	35.97	46.77	132.63
631	swin_v2_cr_large_224	336.25	1522.658	512	224	35.1	85.57	196.68
632	convnext_xlarge_in22ft1k	332.85	1538.204	512	224	60.97	57.5	350.2
633	tf_efficientnet_b5_ap	325.28	786.993	256	456	10.46	98.86	30.39
634	tf_efficientnet_b5_ns	325.25	787.076	256	456	10.46	98.86	30.39
635	tf_efficientnet_b5	325.02	787.638	256	456	10.46	98.86	30.39
636	vit_base_patch16_18x2_224	323.5	3165.374	1024	224	52.51	71.38	256.73
637	crossvit_15_dagger_408	314.0	815.262	256	408	21.45	95.05	28.5
638	beit_large_patch16_224	313.18	3269.663	1024	224	61.6	63.52	304.43
639	xcit_small_24_p16_384_dist	294.97	3471.465	1024	384	26.72	68.58	47.67
640	convmixer_768_32	290.4	3526.113	1024	224	19.55	25.95	21.11
641	swin_v2_cr_tiny_384	285.22	897.553	256	384	15.36	179.92	28.33
642	eca_nfnet_l2	282.5	1812.345	512	384	30.05	68.28	56.72
643	convnext_small_384_in22ft1k	278.47	1378.958	384	384	45.2	84.49	88.59
644	convnext_tiny_384_in22ft1k	277.61	1383.204	384	384	45.2	84.49	88.59
645	resnetv2_152x2_bit_teacher	277.28	1846.482	512	224	46.95	45.11	236.34
646	xcit_tiny_12_p8_384_dist	275.28	3719.775	1024	384	14.13	69.14	6.71
647	convnext_base_384_in22ft1k	271.21	1415.851	384	384	45.2	84.49	88.59
648	tresnet_xl_448	270.27	1894.405	512	448	60.65	61.31	78.44
649	deit_base_patch16_384	266.0	1443.615	384	384	55.54	101.56	86.86
650	vit_base_patch16_384	265.19	1448.027	384	384	55.54	101.56	86.86
651	deit_base_distilled_patch16_384	262.93	1460.437	384	384	55.65	101.82	87.63
652	resnest200e	262.48	1950.635	512	320	35.69	82.78	70.2
653	volo_d1_384	260.38	1474.743	384	384	22.75	108.55	26.78
654	volo_d4_224	257.94	3969.869	1024	224	44.34	80.22	192.96
655	vit_large_patch14_224	251.28	4075.168	1024	224	81.08	88.79	304.2
656	resnetv2_101x1_bitm	244.68	1569.394	384	448	31.65	64.93	44.54
657	cait_xxs24_384	243.88	4198.837	1024	384	9.63	122.66	12.03
658	crossvit_18_dagger_408	234.94	1089.639	256	408	32.47	124.87	44.61
659	ecaresnet269d	234.24	4371.583	1024	352	50.25	101.25	102.09
660	vit_large_r50_s32_384	234.0	1641.018	384	384	57.43	76.52	329.09
661	pnasnet5large	228.91	1677.491	384	331	25.04	92.89	86.06
662	resnetrs270	228.2	4487.36	1024	352	51.13	105.48	129.86
663	nasnetalarge	228.07	1683.676	384	331	23.89	90.56	88.75
664	beit_base_patch16_384	227.79	1685.763	384	384	55.54	101.56	86.74
665	xcit_small_24_p8_224_dist	219.63	4662.341	1024	224	35.81	90.78	47.63
666	xcit_small_24_p8_224	219.33	4668.653	1024	224	35.81	90.78	47.63
667	xcit_medium_24_p16_384_dist	218.42	2344.05	512	384	47.39	91.64	84.4
668	resmlp_big_24_224	205.71	4977.973	1024	224	100.23	87.31	129.14
669	resmlp_big_24_224_in22ft1k	205.53	4982.262	1024	224	100.23	87.31	129.14
670	resmlp_big_24_distilled_224	205.53	4982.296	1024	224	100.23	87.31	129.14
671	nfnet_f2	199.27	5138.776	1024	352	63.22	79.06	193.78
672	efficientnetv2_l	198.39	2580.786	512	480	56.4	157.99	118.52
673	tf_efficientnetv2_l_in21ft1k	196.29	2608.374	512	480	56.4	157.99	118.52
674	tf_efficientnetv2_l	196.05	2611.552	512	480	56.4	157.99	118.52
675	efficientnet_b6	194.31	658.718	128	528	19.4	167.39	43.04
676	dm_nfnet_f2	191.21	2677.704	512	352	63.22	79.06	193.78
677	tf_efficientnet_b6_ns	188.46	679.176	128	528	19.4	167.39	43.04
678	tf_efficientnet_b6_ap	188.11	680.439	128	528	19.4	167.39	43.04
679	tf_efficientnet_b6	187.99	680.87	128	528	19.4	167.39	43.04
680	swin_v2_cr_small_384	182.11	1405.708	256	384	29.73	328.89	49.7
681	swin_base_patch4_window12_384	176.69	1086.618	192	384	47.19	134.78	87.9
682	vit_base_patch8_224	174.18	1469.691	256	224	78.22	161.69	86.58
683	cait_xs24_384	172.41	2969.69	512	384	19.28	183.98	26.67
684	volo_d5_224	172.09	5950.508	1024	224	72.4	118.11	295.46
685	vit_base_r50_s16_384	167.12	2297.711	384	384	67.43	135.03	98.95
686	vit_base_resnet50_384	167.1	2298.053	384	384	67.43	135.03	98.95
687	convnext_large_384_in22ft1k	166.43	1538.202	256	384	101.09	126.74	197.77
688	cait_xxs36_384	163.24	6273.131	1024	384	14.35	183.7	17.37
689	xcit_medium_24_p8_224_dist	162.77	3145.502	512	224	63.53	121.23	84.32
690	xcit_medium_24_p8_224	162.47	3151.38	512	224	63.53	121.23	84.32
691	eca_nfnet_l3	159.16	3216.919	512	448	52.55	118.4	72.04
692	swin_v2_cr_huge_224	158.05	2429.581	384	224	115.98	130.61	657.83
693	resnetrs350	152.47	3358.018	512	384	77.59	154.74	163.96
694	volo_d2_384	149.2	1715.757	256	384	46.17	184.51	58.87
695	ig_resnext101_32x32d	147.29	1738.089	256	224	87.29	91.12	468.53
696	xcit_tiny_24_p8_384_dist	144.29	7096.813	1024	384	27.05	132.95	12.11
697	xcit_small_12_p8_384_dist	140.94	3632.686	512	384	54.92	138.29	26.21
698	vit_huge_patch14_224	137.14	7467.038	1024	224	167.4	139.41	632.05
699	swin_v2_cr_base_384	136.57	1405.886	192	384	50.61	374.82	87.88
700	cait_s24_384	132.93	3851.731	512	384	32.17	245.31	47.06
701	xcit_large_24_p16_384_dist	132.54	3862.869	512	384	105.35	137.17	189.1
702	efficientnetv2_xl	127.7	3007.081	384	512	93.85	247.32	208.12
703	tf_efficientnetv2_xl_in21ft1k	126.72	3030.326	384	512	93.85	247.32	208.12
704	resnest269e	122.23	3141.713	384	416	77.69	171.98	110.93
705	convnext_xlarge_384_in22ft1k	113.66	1689.239	192	384	179.18	168.99	350.2
706	efficientnet_b7	111.61	860.145	96	600	38.33	289.94	66.35
707	swin_large_patch4_window12_384	111.13	1151.803	128	384	104.08	202.16	196.74
708	resnetrs420	109.22	4687.594	512	416	108.45	213.79	191.89
709	nfnet_f3	108.69	4710.42	512	416	115.58	141.78	254.92
710	tf_efficientnet_b7_ns	108.52	884.628	96	600	38.33	289.94	66.35
711	tf_efficientnet_b7	108.51	884.669	96	600	38.33	289.94	66.35
712	tf_efficientnet_b7_ap	108.41	885.546	96	600	38.33	289.94	66.35
713	convmixer_1536_20	105.15	9738.155	1024	224	48.68	33.03	51.63
714	xcit_large_24_p8_224	98.65	5189.87	512	224	141.23	181.56	188.93
715	xcit_large_24_p8_224_dist	98.5	5198.076	512	224	141.23	181.56	188.93
716	dm_nfnet_f3	97.31	5261.505	512	416	115.58	141.78	254.92
717	resnetv2_152x2_bit_teacher_384	96.06	2664.909	256	384	136.16	132.56	236.34
718	resnetv2_50x3_bitm	93.55	1368.206	128	448	145.7	133.37	217.32
719	vit_large_patch16_384	91.35	2802.38	256	384	191.21	270.24	304.72
720	vit_giant_patch14_224	90.49	5658.11	512	224	267.18	192.64	1012.61
721	cait_s36_384	89.11	5745.925	512	384	47.99	367.4	68.37
722	ig_resnext101_32x48d	87.36	2197.696	192	224	153.57	131.06	828.41
723	swin_v2_cr_large_384	86.85	1473.707	128	384	109.02	466.67	196.68
724	beit_large_patch16_384	79.29	3228.802	256	384	191.21	270.24	305.0
725	xcit_small_24_p8_384_dist	74.05	6914.533	512	384	105.24	265.91	47.63
726	resnetv2_152x2_bitm	70.66	2717.055	192	448	184.99	180.43	236.34
727	efficientnet_b8	69.61	1379.103	96	672	63.48	442.89	87.41
728	tf_efficientnet_b8	68.01	1411.465	96	672	63.48	442.89	87.41
729	tf_efficientnet_b8_ap	68.0	1411.838	96	672	63.48	442.89	87.41
730	volo_d3_448	66.4	2891.706	192	448	96.33	446.83	86.63
731	nfnet_f4	59.8	6420.863	384	512	216.26	262.26	316.07
732	dm_nfnet_f4	58.08	4407.375	256	512	216.26	262.26	316.07
733	resnetv2_101x3_bitm	57.61	2221.888	128	448	280.33	194.78	387.93
734	vit_gigantic_patch14_224	55.06	6974.141	384	224	483.95	275.37	1844.44
735	xcit_medium_24_p8_384_dist	55.01	4653.657	256	384	186.67	354.73	84.32
736	volo_d4_448	49.32	2595.126	128	448	197.13	527.35	193.41
737	swin_v2_cr_giant_224	47.35	2703.11	128	224	483.88	342.95	2598.76
738	nfnet_f5	43.8	5844.773	256	544	290.97	349.71	377.21
739	swin_v2_cr_huge_384	40.54	1578.782	64	384	352.16	696.31	657.94
740	tf_efficientnet_l2_ns_475	39.18	1633.537	64	475	172.11	609.89	480.31
741	dm_nfnet_f5	39.13	6543.097	256	544	290.97	349.71	377.21
742	nfnet_f6	34.31	7461.788	256	576	378.69	452.2	438.36
743	volo_d5_448	34.12	3751.116	128	448	315.06	737.92	295.91
744	xcit_large_24_p8_384_dist	33.15	5792.568	192	384	415.0	531.82	188.93
745	beit_large_patch16_512	32.17	2983.777	96	512	362.24	656.39	305.67
746	dm_nfnet_f6	30.6	8365.588	256	576	378.69	452.2	438.36
747	cait_m36_384	30.38	8425.311	256	384	173.11	734.81	271.22
748	nfnet_f7	26.68	9596.214	256	608	480.39	570.85	499.5
749	volo_d5_512	23.97	4004.478	96	512	425.09	1105.37	296.09
750	resnetv2_152x4_bitm	18.45	3469.53	64	480	844.84	414.26	936.53
751	efficientnet_l2	14.11	1701.114	24	800	479.12	1707.39	480.31
752	tf_efficientnet_l2_ns	13.9	1726.621	24	800	479.12	1707.39	480.31
753	cait_m48_448	13.15	9732.974	128	448	329.41	1708.23	356.46
754	swin_v2_cr_giant_384	13.09	1833.537	24	384	1451.0	1686.82	2598.76