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

1	model	infer_img_size	infer_batch_size	infer_samples_per_sec	infer_step_time	infer_gmacs	infer_macts	param_count
2	tinynet_e	106	1024.0	75290.96	13.591	0.03	0.69	2.04
3	mobilenetv3_small_050	224	1024.0	56785.93	18.023	0.03	0.92	1.59
4	efficientvit_m0	224	1024.0	50656.23	20.205	0.08	0.91	2.35
5	lcnet_035	224	1024.0	48853.22	20.951	0.03	1.04	1.64
6	lcnet_050	224	1024.0	42147.98	24.285	0.05	1.26	1.88
7	mobilenetv3_small_075	224	1024.0	42002.46	24.369	0.05	1.3	2.04
8	mobilenetv3_small_100	224	1024.0	38516.23	26.573	0.06	1.42	2.54
9	tinynet_d	152	1024.0	37989.71	26.944	0.05	1.42	2.34
10	efficientvit_m1	224	1024.0	37486.44	27.306	0.17	1.33	2.98
11	tf_mobilenetv3_small_minimal_100	224	1024.0	33948.13	30.153	0.06	1.41	2.04
12	efficientvit_m2	224	1024.0	33551.67	30.51	0.2	1.47	4.19
13	tf_mobilenetv3_small_075	224	1024.0	33262.15	30.775	0.05	1.3	2.04
14	tf_mobilenetv3_small_100	224	1024.0	31002.71	33.019	0.06	1.42	2.54
15	lcnet_075	224	1024.0	30664.19	33.384	0.1	1.99	2.36
16	efficientvit_m3	224	1024.0	29423.78	34.792	0.27	1.62	6.9
17	efficientvit_m4	224	1024.0	27882.1	36.716	0.3	1.7	8.8
18	mnasnet_small	224	1024.0	25015.02	40.925	0.07	2.16	2.03
19	regnetx_002	224	1024.0	24564.71	41.67	0.2	2.16	2.68
20	lcnet_100	224	1024.0	24268.72	42.183	0.16	2.52	2.95
21	levit_128s	224	1024.0	22705.11	45.089	0.31	1.88	7.78
22	regnety_002	224	1024.0	22248.91	46.012	0.2	2.17	3.16
23	resnet10t	176	1024.0	22236.3	46.04	0.7	1.51	5.44
24	mobilenetv2_035	224	1024.0	22055.42	46.418	0.07	2.86	1.68
25	levit_conv_128s	224	1024.0	21863.15	46.826	0.31	1.88	7.78
26	ghostnet_050	224	1024.0	20782.95	49.261	0.05	1.77	2.59
27	mnasnet_050	224	1024.0	20672.17	49.525	0.11	3.07	2.22
28	repghostnet_050	224	1024.0	20617.05	49.657	0.05	2.02	2.31
29	efficientvit_m5	224	1024.0	19010.14	53.856	0.53	2.41	12.47
30	tinynet_c	184	1024.0	18737.07	54.641	0.11	2.87	2.46
31	efficientvit_b0	224	1024.0	18023.56	56.804	0.1	2.87	3.41
32	semnasnet_050	224	1024.0	17573.38	58.26	0.11	3.44	2.08
33	mobilenetv2_050	224	1024.0	17491.5	58.532	0.1	3.64	1.97
34	regnetx_004	224	1024.0	17164.74	59.647	0.4	3.14	5.16
35	repghostnet_058	224	1024.0	16947.81	60.41	0.07	2.59	2.55
36	regnetx_004_tv	224	1024.0	16485.73	62.101	0.42	3.17	5.5
37	vit_small_patch32_224	224	1024.0	16428.86	62.319	1.12	2.09	22.88
38	cs3darknet_focus_s	256	1024.0	16333.25	62.684	0.69	2.7	3.27
39	lcnet_150	224	1024.0	15841.02	64.632	0.34	3.79	4.5
40	gernet_s	224	1024.0	15617.62	65.556	0.75	2.65	8.17
41	cs3darknet_s	256	1024.0	15597.89	65.64	0.72	2.97	3.28
42	levit_128	224	1024.0	15372.6	66.601	0.41	2.71	9.21
43	vit_tiny_r_s16_p8_224	224	1024.0	15191.19	67.397	0.43	1.85	6.34
44	levit_conv_128	224	1024.0	14904.31	68.695	0.41	2.71	9.21
45	mobilenetv3_large_075	224	1024.0	14843.63	68.964	0.16	4.0	3.99
46	pit_ti_distilled_224	224	1024.0	14746.15	69.432	0.51	2.77	5.1
47	pit_ti_224	224	1024.0	14700.08	69.649	0.5	2.75	4.85
48	mixer_s32_224	224	1024.0	14362.24	71.288	1.0	2.28	19.1
49	resnet10t	224	1024.0	14254.88	71.825	1.1	2.43	5.44
50	repghostnet_080	224	1024.0	13967.84	73.293	0.1	3.22	3.28
51	tf_efficientnetv2_b0	192	1024.0	13629.52	75.121	0.54	3.51	7.14
52	mobilenetv3_rw	224	1024.0	13582.75	75.38	0.23	4.41	5.48
53	levit_192	224	1024.0	13511.34	75.778	0.66	3.2	10.95
54	mnasnet_075	224	1024.0	13417.36	76.309	0.23	4.77	3.17
55	mobilenetv3_large_100	224	1024.0	13322.79	76.851	0.23	4.41	5.48
56	hardcorenas_a	224	1024.0	13314.34	76.899	0.23	4.38	5.26
57	levit_conv_192	224	1024.0	12952.02	79.05	0.66	3.2	10.95
58	regnety_004	224	1024.0	12651.55	80.929	0.41	3.89	4.34
59	tf_mobilenetv3_large_075	224	1024.0	12636.69	81.023	0.16	4.0	3.99
60	nf_regnet_b0	192	1024.0	12264.41	83.481	0.37	3.15	8.76
61	tinynet_b	188	1024.0	12262.56	83.495	0.21	4.44	3.73
62	tf_mobilenetv3_large_minimal_100	224	1024.0	12182.74	84.043	0.22	4.4	3.92
63	hardcorenas_b	224	1024.0	12118.5	84.488	0.26	5.09	5.18
64	hardcorenas_c	224	1024.0	12088.28	84.699	0.28	5.01	5.52
65	resnet14t	176	1024.0	11843.82	86.448	1.07	3.61	10.08
66	mnasnet_100	224	1024.0	11686.43	87.612	0.33	5.46	4.38
67	regnety_006	224	1024.0	11675.48	87.69	0.61	4.33	6.06
68	ese_vovnet19b_slim_dw	224	1024.0	11663.91	87.781	0.4	5.28	1.9
69	repghostnet_100	224	1024.0	11508.79	88.956	0.15	3.98	4.07
70	tf_mobilenetv3_large_100	224	1024.0	11443.62	89.472	0.23	4.41	5.48
71	vit_tiny_patch16_224	224	1024.0	11342.82	90.267	1.08	4.12	5.72
72	hardcorenas_d	224	1024.0	11329.99	90.369	0.3	4.93	7.5
73	deit_tiny_distilled_patch16_224	224	1024.0	11311.9	90.514	1.09	4.15	5.91
74	deit_tiny_patch16_224	224	1024.0	11286.31	90.719	1.08	4.12	5.72
75	semnasnet_075	224	1024.0	11132.28	91.974	0.23	5.54	2.91
76	resnet18	224	1024.0	11101.69	92.228	1.82	2.48	11.69
77	ghostnet_100	224	1024.0	11039.87	92.744	0.15	3.55	5.18
78	mobilenetv2_075	224	1024.0	10984.87	93.208	0.22	5.86	2.64
79	spnasnet_100	224	1024.0	10557.11	96.986	0.35	6.03	4.42
80	tf_efficientnetv2_b1	192	1024.0	10473.04	97.765	0.76	4.59	8.14
81	regnetx_008	224	1024.0	10422.45	98.23	0.81	5.15	7.26
82	seresnet18	224	1024.0	10416.31	98.297	1.82	2.49	11.78
83	tf_efficientnetv2_b0	224	1024.0	10174.51	100.633	0.73	4.77	7.14
84	legacy_seresnet18	224	1024.0	10133.12	101.044	1.82	2.49	11.78
85	repghostnet_111	224	1024.0	10094.28	101.428	0.18	4.38	4.54
86	hardcorenas_f	224	1024.0	10012.95	102.257	0.35	5.57	8.2
87	tinynet_a	192	1024.0	9946.05	102.945	0.35	5.41	6.19
88	dla46_c	224	1024.0	9943.77	102.967	0.58	4.5	1.3
89	hardcorenas_e	224	1024.0	9851.75	103.931	0.35	5.65	8.07
90	semnasnet_100	224	1024.0	9823.16	104.233	0.32	6.23	3.89
91	levit_256	224	1024.0	9811.76	104.354	1.13	4.23	18.89
92	repvgg_a0	224	1024.0	9709.7	105.449	1.52	3.59	9.11
93	mobilenetv2_100	224	1024.0	9654.78	106.051	0.31	6.68	3.5
94	regnety_008	224	1024.0	9643.2	106.178	0.81	5.25	6.26
95	fbnetc_100	224	1024.0	9552.51	107.186	0.4	6.51	5.57
96	efficientnet_lite0	224	1024.0	9466.4	108.161	0.4	6.74	4.65
97	levit_conv_256	224	1024.0	9461.49	108.218	1.13	4.23	18.89
98	resnet18d	224	1024.0	9458.4	108.253	2.06	3.29	11.71
99	pit_xs_224	224	1024.0	9332.33	109.714	1.1	4.12	10.62
100	ese_vovnet19b_slim	224	1024.0	9277.16	110.369	1.69	3.52	3.17
101	regnety_008_tv	224	1024.0	9213.78	111.127	0.84	5.42	6.43
102	pit_xs_distilled_224	224	1024.0	9203.86	111.241	1.11	4.15	11.0
103	convnext_atto	224	1024.0	9104.06	112.467	0.55	3.81	3.7
104	repghostnet_130	224	1024.0	8873.05	115.395	0.25	5.24	5.48
105	ghostnet_130	224	1024.0	8870.81	115.424	0.24	4.6	7.36
106	convnext_atto_ols	224	1024.0	8829.55	115.964	0.58	4.11	3.7
107	regnetz_005	224	1024.0	8796.44	116.392	0.52	5.86	7.12
108	xcit_nano_12_p16_224	224	1024.0	8604.96	118.991	0.56	4.17	3.05
109	levit_256d	224	1024.0	8322.97	123.022	1.4	4.93	26.21
110	regnetx_006	224	1024.0	8320.1	123.064	0.61	3.98	6.2
111	tf_efficientnet_lite0	224	1024.0	8163.21	125.431	0.4	6.74	4.65
112	fbnetv3_b	224	1024.0	8152.31	125.598	0.42	6.97	8.6
113	efficientnet_b0	224	1024.0	8085.72	126.633	0.4	6.75	5.29
114	levit_conv_256d	224	1024.0	8055.13	127.113	1.4	4.93	26.21
115	edgenext_xx_small	256	1024.0	8014.51	127.757	0.26	3.33	1.33
116	mnasnet_140	224	1024.0	7984.3	128.241	0.6	7.71	7.12
117	convnext_femto	224	1024.0	7977.79	128.346	0.79	4.57	5.22
118	tf_efficientnetv2_b2	208	1024.0	7861.13	130.251	1.06	6.0	10.1
119	mobilevit_xxs	256	1024.0	7827.79	130.801	0.34	5.74	1.27
120	repghostnet_150	224	1024.0	7766.69	131.835	0.32	6.0	6.58
121	convnext_femto_ols	224	1024.0	7757.32	131.994	0.82	4.87	5.23
122	rexnetr_100	224	1024.0	7545.9	135.692	0.43	7.72	4.88
123	repvit_m1	224	1024.0	7543.44	135.728	0.83	7.45	5.49
124	resnet14t	224	1024.0	7466.4	137.137	1.69	5.8	10.08
125	mobilenetv2_110d	224	1024.0	7331.32	139.66	0.45	8.71	4.52
126	hrnet_w18_small	224	1024.0	7298.3	140.296	1.61	5.72	13.19
127	cs3darknet_focus_m	256	1024.0	7202.61	142.16	1.98	4.89	9.3
128	repvit_m0_9	224	1024.0	7165.5	142.888	0.83	7.45	5.49
129	crossvit_tiny_240	240	1024.0	7123.68	143.735	1.3	5.67	7.01
130	efficientvit_b1	224	1024.0	7109.59	144.02	0.53	7.25	9.1
131	tf_efficientnet_b0	224	1024.0	7104.21	144.129	0.4	6.75	5.29
132	crossvit_9_240	240	1024.0	7025.32	145.747	1.55	5.59	8.55
133	nf_regnet_b0	256	1024.0	6992.1	146.441	0.64	5.58	8.76
134	repvgg_a1	224	1024.0	6942.64	147.483	2.64	4.74	14.09
135	mobilevitv2_050	256	1024.0	6935.55	147.628	0.48	8.04	1.37
136	cs3darknet_m	256	1024.0	6929.59	147.762	2.08	5.28	9.31
137	efficientnet_b1_pruned	240	1024.0	6922.7	147.909	0.4	6.21	6.33
138	gernet_m	224	1024.0	6840.64	149.682	3.02	5.24	21.14
139	fbnetv3_d	224	1024.0	6784.35	150.925	0.52	8.5	10.31
140	semnasnet_140	224	1024.0	6771.35	151.215	0.6	8.87	6.11
141	crossvit_9_dagger_240	240	1024.0	6704.51	152.722	1.68	6.03	8.78
142	tf_efficientnetv2_b1	240	1024.0	6611.54	154.87	1.21	7.34	8.14
143	mobilenetv2_140	224	1024.0	6588.7	155.407	0.6	9.57	6.11
144	resnet34	224	1024.0	6504.25	157.425	3.67	3.74	21.8
145	ese_vovnet19b_dw	224	1024.0	6406.95	159.816	1.34	8.25	6.54
146	selecsls42	224	1024.0	6366.41	160.834	2.94	4.62	30.35
147	resnet18	288	1024.0	6354.7	161.13	3.01	4.11	11.69
148	selecsls42b	224	1024.0	6344.62	161.386	2.98	4.62	32.46
149	efficientnet_b0_g16_evos	224	1024.0	6342.4	161.442	1.01	7.42	8.11
150	edgenext_xx_small	288	1024.0	6334.97	161.631	0.33	4.21	1.33
151	efficientnet_lite1	240	1024.0	6268.15	163.355	0.62	10.14	5.42
152	pvt_v2_b0	224	1024.0	6254.52	163.711	0.53	7.01	3.67
153	visformer_tiny	224	1024.0	6218.29	164.665	1.27	5.72	10.32
154	convnext_pico	224	1024.0	6208.02	164.938	1.37	6.1	9.05
155	fbnetv3_b	256	1024.0	6192.25	165.357	0.55	9.1	8.6
156	efficientnet_es_pruned	224	1024.0	6175.39	165.809	1.81	8.73	5.44
157	efficientnet_es	224	1024.0	6170.12	165.95	1.81	8.73	5.44
158	rexnet_100	224	1024.0	6170.05	165.953	0.41	7.44	4.8
159	ghostnetv2_100	224	1024.0	6155.62	166.342	0.18	4.55	6.16
160	seresnet34	224	1024.0	6069.09	168.714	3.67	3.74	21.96
161	convnext_pico_ols	224	1024.0	6043.01	169.442	1.43	6.5	9.06
162	seresnet18	288	1024.0	5998.94	170.686	3.01	4.11	11.78
163	dla46x_c	224	1024.0	5992.19	170.877	0.54	5.66	1.07
164	dla34	224	1024.0	5954.72	171.952	3.07	5.02	15.74
165	repghostnet_200	224	1024.0	5934.75	172.524	0.54	7.96	9.8
166	resnet26	224	1024.0	5916.33	173.07	2.36	7.35	16.0
167	levit_384	224	1024.0	5897.4	173.625	2.36	6.26	39.13
168	resnet34d	224	1024.0	5884.13	174.017	3.91	4.54	21.82
169	cs3darknet_focus_m	288	1024.0	5878.89	174.173	2.51	6.19	9.3
170	legacy_seresnet34	224	1024.0	5873.4	174.335	3.67	3.74	21.96
171	repvit_m2	224	1024.0	5866.53	174.53	1.36	9.43	8.8
172	vit_base_patch32_224	224	1024.0	5866.04	174.553	4.37	4.19	88.22
173	vit_base_patch32_clip_224	224	1024.0	5864.79	174.59	4.37	4.19	88.22
174	repvit_m1_0	224	1024.0	5862.26	174.66	1.13	8.69	7.3
175	tf_efficientnet_es	224	1024.0	5831.76	175.58	1.81	8.73	5.44
176	rexnetr_130	224	1024.0	5827.09	175.72	0.68	9.81	7.61
177	resnetrs50	160	1024.0	5819.33	175.954	2.29	6.2	35.69
178	dla60x_c	224	1024.0	5709.85	179.326	0.59	6.01	1.32
179	vit_small_patch32_384	384	1024.0	5700.23	179.631	3.26	6.07	22.92
180	levit_conv_384	224	1024.0	5694.64	179.807	2.36	6.26	39.13
181	tiny_vit_5m_224	224	1024.0	5681.84	180.212	1.18	9.32	12.08
182	efficientnet_b1	224	1024.0	5671.54	180.54	0.59	9.36	7.79
183	cs3darknet_m	288	1024.0	5670.5	180.573	2.63	6.69	9.31
184	resnetblur18	224	1024.0	5631.98	181.808	2.34	3.39	11.69
185	tf_efficientnet_lite1	240	1024.0	5588.09	183.236	0.62	10.14	5.42
186	repvit_m1_1	224	1024.0	5584.25	183.355	1.36	9.43	8.8
187	mixnet_s	224	1024.0	5566.85	183.931	0.25	6.25	4.13
188	convnext_atto	288	1024.0	5556.64	184.274	0.91	6.3	3.7
189	darknet17	256	1024.0	5525.94	185.298	3.26	7.18	14.3
190	pit_s_224	224	1024.0	5520.06	185.491	2.42	6.18	23.46
191	resnet18d	288	1024.0	5497.35	186.262	3.41	5.43	11.71
192	selecsls60	224	1024.0	5496.69	186.283	3.59	5.52	30.67
193	pit_s_distilled_224	224	1024.0	5494.69	186.349	2.45	6.22	24.04
194	xcit_tiny_12_p16_224	224	1024.0	5472.11	187.12	1.24	6.29	6.72
195	selecsls60b	224	1024.0	5466.97	187.296	3.63	5.52	32.77
196	skresnet18	224	1024.0	5432.07	188.499	1.82	3.24	11.96
197	convnext_atto_ols	288	1024.0	5378.78	190.367	0.96	6.8	3.7
198	resmlp_12_224	224	1024.0	5371.14	190.637	3.01	5.5	15.35
199	regnetz_005	288	1024.0	5353.96	191.249	0.86	9.68	7.12
200	mobilenetv2_120d	224	1024.0	5347.39	191.484	0.69	11.97	5.83
201	convnextv2_atto	224	1024.0	5293.77	193.425	0.55	3.81	3.71
202	repvgg_b0	224	1024.0	5265.8	194.451	3.41	6.15	15.82
203	mixer_b32_224	224	1024.0	5245.72	195.191	3.24	6.29	60.29
204	vit_tiny_r_s16_p8_384	384	1024.0	5235.72	195.568	1.25	5.39	6.36
205	nf_regnet_b1	256	1024.0	5226.46	195.915	0.82	7.27	10.22
206	nf_regnet_b2	240	1024.0	5223.53	196.02	0.97	7.23	14.31
207	vit_base_patch32_clip_quickgelu_224	224	1024.0	5220.87	196.124	4.37	4.19	87.85
208	resnetaa34d	224	1024.0	5205.31	196.711	4.43	5.07	21.82
209	resnet26d	224	1024.0	5169.81	198.062	2.6	8.15	16.01
210	tf_mixnet_s	224	1024.0	5128.65	199.652	0.25	6.25	4.13
211	rexnetr_150	224	1024.0	5105.32	200.564	0.89	11.13	9.78
212	gmixer_12_224	224	1024.0	5083.79	201.414	2.67	7.26	12.7
213	fbnetv3_d	256	1024.0	5047.63	202.856	0.68	11.1	10.31
214	edgenext_x_small	256	1024.0	5018.94	204.014	0.54	5.93	2.34
215	mixer_s16_224	224	1024.0	5009.58	204.393	3.79	5.97	18.53
216	regnetz_b16	224	1024.0	5008.24	204.437	1.45	9.95	9.72
217	gmlp_ti16_224	224	1024.0	4999.44	204.811	1.34	7.55	5.87
218	darknet21	256	1024.0	4956.17	206.601	3.93	7.47	20.86
219	eva02_tiny_patch14_224	224	1024.0	4940.45	207.258	1.4	6.17	5.5
220	ghostnetv2_130	224	1024.0	4896.55	209.116	0.28	5.9	8.96
221	convnext_femto	288	1024.0	4844.52	211.362	1.3	7.56	5.22
222	nf_resnet26	224	1024.0	4822.21	212.339	2.41	7.35	16.0
223	efficientnet_lite2	260	1024.0	4817.66	212.541	0.89	12.9	6.09
224	tf_efficientnetv2_b2	260	1024.0	4797.27	213.444	1.72	9.84	10.1
225	efficientnet_cc_b0_8e	224	1024.0	4749.51	215.591	0.42	9.42	24.01
226	sedarknet21	256	1024.0	4747.46	215.684	3.93	7.47	20.95
227	efficientnet_cc_b0_4e	224	1024.0	4720.11	216.933	0.41	9.42	13.31
228	efficientnet_b2_pruned	260	1024.0	4716.64	217.093	0.73	9.13	8.31
229	convnext_femto_ols	288	1024.0	4709.5	217.422	1.35	8.06	5.23
230	resnext26ts	256	1024.0	4668.94	219.311	2.43	10.52	10.3
231	tiny_vit_11m_224	224	1024.0	4649.32	220.237	1.9	10.73	20.35
232	ecaresnet50d_pruned	224	1024.0	4636.78	220.832	2.53	6.43	19.94
233	deit_small_patch16_224	224	1024.0	4620.93	221.59	4.25	8.25	22.05
234	efficientformer_l1	224	1024.0	4616.64	221.795	1.3	5.53	12.29
235	vit_small_patch16_224	224	1024.0	4614.32	221.907	4.25	8.25	22.05
236	dpn48b	224	1024.0	4588.67	223.146	1.69	8.92	9.13
237	deit_small_distilled_patch16_224	224	1024.0	4587.3	223.214	4.27	8.29	22.44
238	vit_base_patch32_clip_256	256	1024.0	4547.51	225.168	5.68	5.44	87.86
239	convnextv2_femto	224	1024.0	4545.73	225.256	0.79	4.57	5.23
240	mobilevitv2_075	256	1024.0	4537.95	225.638	1.05	12.06	2.87
241	eca_resnext26ts	256	1024.0	4521.18	226.479	2.43	10.52	10.3
242	seresnext26ts	256	1024.0	4517.43	226.666	2.43	10.52	10.39
243	efficientnetv2_rw_t	224	1024.0	4511.98	226.94	1.93	9.94	13.65
244	legacy_seresnext26_32x4d	224	1024.0	4489.21	228.092	2.49	9.39	16.79
245	gernet_l	256	1024.0	4474.96	228.817	4.57	8.0	31.08
246	gcresnext26ts	256	1024.0	4472.11	228.964	2.43	10.53	10.48
247	rexnet_130	224	1024.0	4453.51	229.92	0.68	9.71	7.56
248	tf_efficientnet_b1	240	1024.0	4442.45	230.492	0.71	10.88	7.79
249	tf_efficientnet_cc_b0_8e	224	1024.0	4391.83	233.15	0.42	9.42	24.01
250	convnext_nano	224	1024.0	4389.78	233.258	2.46	8.37	15.59
251	gc_efficientnetv2_rw_t	224	1024.0	4373.41	234.132	1.94	9.97	13.68
252	tf_efficientnet_cc_b0_4e	224	1024.0	4373.37	234.134	0.41	9.42	13.31
253	tf_efficientnetv2_b3	240	1024.0	4372.06	234.204	1.93	9.95	14.36
254	tf_efficientnet_lite2	260	1024.0	4324.79	236.764	0.89	12.9	6.09
255	efficientnet_b1	256	1024.0	4298.75	238.198	0.77	12.22	7.79
256	deit3_small_patch16_224	224	1024.0	4270.38	239.779	4.25	8.25	22.06
257	cs3darknet_focus_l	256	1024.0	4230.07	242.066	4.66	8.03	21.15
258	nf_regnet_b1	288	1024.0	4135.98	247.568	1.02	9.2	10.22
259	convnext_nano_ols	224	1024.0	4118.16	248.644	2.65	9.38	15.65
260	nf_seresnet26	224	1024.0	4112.79	248.966	2.41	7.36	17.4
261	nf_ecaresnet26	224	1024.0	4107.39	249.292	2.41	7.36	16.0
262	efficientnet_b2	256	1024.0	4105.27	249.424	0.89	12.81	9.11
263	cs3darknet_l	256	1024.0	4101.41	249.66	4.86	8.55	21.16
264	nf_regnet_b2	272	1024.0	4097.18	249.913	1.22	9.27	14.31
265	ecaresnext50t_32x4d	224	1024.0	4074.12	251.332	2.7	10.09	15.41
266	ecaresnext26t_32x4d	224	1024.0	4072.14	251.454	2.7	10.09	15.41
267	seresnext26t_32x4d	224	1024.0	4061.05	252.141	2.7	10.09	16.81
268	repvgg_a2	224	1024.0	4049.32	252.867	5.7	6.26	28.21
269	poolformer_s12	224	1024.0	4047.55	252.981	1.82	5.53	11.92
270	seresnext26d_32x4d	224	1024.0	4037.54	253.609	2.73	10.19	16.81
271	regnetx_016	224	1024.0	4025.84	254.342	1.62	7.93	9.19
272	resnet26t	256	1024.0	4021.85	254.598	3.35	10.52	16.01
273	flexivit_small	240	1024.0	4011.8	255.236	4.88	9.46	22.06
274	edgenext_x_small	288	1024.0	3990.87	256.573	0.68	7.5	2.34
275	rexnet_150	224	1024.0	3983.48	257.051	0.9	11.21	9.73
276	vit_relpos_small_patch16_rpn_224	224	1024.0	3975.32	257.575	4.24	9.38	21.97
277	repvit_m3	224	1024.0	3966.18	258.164	1.89	13.94	10.68
278	vit_relpos_small_patch16_224	224	1024.0	3948.05	259.358	4.24	9.38	21.98
279	vit_srelpos_small_patch16_224	224	1024.0	3937.22	260.07	4.23	8.49	21.97
280	mobileone_s1	224	1024.0	3931.71	260.434	0.86	9.67	4.83
281	resnetv2_50	224	1024.0	3890.29	263.208	4.11	11.11	25.55
282	eca_botnext26ts_256	256	1024.0	3883.93	263.639	2.46	11.6	10.59
283	cs3sedarknet_l	256	1024.0	3835.91	266.94	4.86	8.56	21.91
284	ghostnetv2_160	224	1024.0	3826.79	267.576	0.42	7.23	12.39
285	resnet34	288	1024.0	3820.15	268.041	6.07	6.18	21.8
286	edgenext_small	256	1024.0	3794.31	269.865	1.26	9.07	5.59
287	dpn68	224	1024.0	3788.79	270.258	2.35	10.47	12.61
288	ese_vovnet19b_dw	288	1024.0	3782.88	270.682	2.22	13.63	6.54
289	fbnetv3_g	240	1024.0	3779.41	270.931	1.28	14.87	16.62
290	convnext_pico	288	1024.0	3777.8	271.046	2.27	10.08	9.05
291	ecaresnetlight	224	1024.0	3759.77	272.346	4.11	8.42	30.16
292	eca_halonext26ts	256	1024.0	3745.07	273.414	2.44	11.46	10.76
293	dpn68b	224	1024.0	3719.51	275.293	2.35	10.47	12.61
294	mixnet_m	224	1024.0	3687.37	277.689	0.36	8.19	5.01
295	resnet50	224	1024.0	3687.18	277.708	4.11	11.11	25.56
296	efficientnet_em	240	1024.0	3685.78	277.814	3.04	14.34	6.9
297	convnext_pico_ols	288	1024.0	3673.49	278.743	2.37	10.74	9.06
298	resnet32ts	256	1024.0	3641.96	281.156	4.63	11.58	17.96
299	bat_resnext26ts	256	1024.0	3638.35	281.435	2.53	12.51	10.73
300	efficientnet_b3_pruned	300	1024.0	3633.29	281.827	1.04	11.86	9.86
301	botnet26t_256	256	1024.0	3632.31	281.904	3.32	11.98	12.49
302	hrnet_w18_small_v2	224	1024.0	3631.33	281.979	2.62	9.65	15.6
303	ecaresnet101d_pruned	224	1024.0	3611.37	283.538	3.48	7.69	24.88
304	ecaresnet26t	256	1024.0	3599.02	284.511	3.35	10.53	16.01
305	regnetv_040	224	1024.0	3598.04	284.583	4.0	12.29	20.64
306	seresnet34	288	1024.0	3583.61	285.735	6.07	6.18	21.96
307	resnetv2_50t	224	1024.0	3573.26	286.561	4.32	11.82	25.57
308	pvt_v2_b1	224	1024.0	3571.19	286.726	2.04	14.01	14.01
309	regnety_016	224	1024.0	3567.37	287.031	1.63	8.04	11.2
310	resnext26ts	288	1024.0	3565.74	287.167	3.07	13.31	10.3
311	regnety_040	224	1024.0	3565.62	287.173	4.0	12.29	20.65
312	resnet33ts	256	1024.0	3563.66	287.335	4.76	11.66	19.68
313	resnetv2_50d	224	1024.0	3553.44	288.159	4.35	11.92	25.57
314	tf_efficientnet_em	240	1024.0	3544.42	288.894	3.04	14.34	6.9
315	halonet26t	256	1024.0	3541.55	289.129	3.19	11.69	12.48
316	dla60	224	1024.0	3527.55	290.275	4.26	10.16	22.04
317	tf_mixnet_m	224	1024.0	3524.0	290.567	0.36	8.19	5.01
318	resnet50c	224	1024.0	3521.04	290.812	4.35	11.92	25.58
319	edgenext_small_rw	256	1024.0	3501.76	292.411	1.58	9.51	7.83
320	resnet34d	288	1024.0	3491.3	293.29	6.47	7.51	21.82
321	convnextv2_pico	224	1024.0	3480.58	294.194	1.37	6.1	9.07
322	vit_small_resnet26d_224	224	1024.0	3476.26	294.557	5.04	10.65	63.61
323	convit_tiny	224	1024.0	3460.49	295.901	1.26	7.94	5.71
324	tresnet_m	224	1024.0	3457.69	296.14	5.75	7.31	31.39
325	resnet26	288	1024.0	3457.48	296.158	3.9	12.15	16.0
326	seresnext26ts	288	1024.0	3455.43	296.333	3.07	13.32	10.39
327	vit_relpos_base_patch32_plus_rpn_256	256	1024.0	3447.98	296.974	7.59	6.63	119.42
328	seresnet33ts	256	1024.0	3444.98	297.233	4.76	11.66	19.78
329	eca_resnext26ts	288	1024.0	3443.01	297.404	3.07	13.32	10.3
330	eca_resnet33ts	256	1024.0	3442.23	297.471	4.76	11.66	19.68
331	tf_efficientnet_b2	260	1024.0	3440.99	297.578	1.02	13.83	9.11
332	gcresnet33ts	256	1024.0	3424.64	298.998	4.76	11.68	19.88
333	gcresnext26ts	288	1024.0	3414.23	299.91	3.07	13.33	10.48
334	resnet50t	224	1024.0	3401.57	301.026	4.32	11.82	25.57
335	vovnet39a	224	1024.0	3395.56	301.56	7.09	6.73	22.6
336	resnet50d	224	1024.0	3380.59	302.894	4.35	11.92	25.58
337	efficientvit_b2	224	1024.0	3359.89	304.76	1.6	14.62	24.33
338	resnest14d	224	1024.0	3357.89	304.943	2.76	7.33	10.61
339	vit_base_patch32_plus_256	256	1024.0	3354.04	305.293	7.7	6.35	119.48
340	efficientnet_b0_gn	224	1024.0	3353.74	305.319	0.42	6.75	5.29
341	cs3darknet_focus_l	288	1024.0	3340.22	306.556	5.9	10.16	21.15
342	selecsls84	224	1024.0	3335.07	307.029	5.9	7.57	50.95
343	vit_tiny_patch16_384	384	1024.0	3332.37	307.277	3.16	12.08	5.79
344	legacy_seresnet50	224	1024.0	3325.14	307.946	3.88	10.6	28.09
345	coatnet_nano_cc_224	224	1024.0	3301.24	310.176	2.13	13.1	13.76
346	fastvit_t8	256	1024.0	3298.88	310.398	0.7	8.63	4.03
347	resnetblur18	288	1024.0	3292.39	311.01	3.87	5.6	11.69
348	repvit_m1_5	224	1024.0	3281.4	312.05	2.31	15.7	14.64
349	ese_vovnet39b	224	1024.0	3276.58	312.51	7.09	6.74	24.57
350	levit_512	224	1024.0	3274.29	312.728	5.64	10.22	95.17
351	haloregnetz_b	224	1024.0	3272.82	312.869	1.97	11.94	11.68
352	mobilevit_xs	256	1024.0	3272.76	312.87	0.93	13.62	2.32
353	coat_lite_tiny	224	1024.0	3257.39	314.352	1.6	11.65	5.72
354	coatnext_nano_rw_224	224	1024.0	3256.31	314.455	2.36	10.68	14.7
355	eca_vovnet39b	224	1024.0	3252.14	314.859	7.09	6.74	22.6
356	efficientnet_b2	288	1024.0	3249.31	315.132	1.12	16.2	9.11
357	resnetaa50	224	1024.0	3245.58	315.495	5.15	11.64	25.56
358	coatnet_nano_rw_224	224	1024.0	3238.25	316.209	2.29	13.29	15.14
359	cs3darknet_l	288	1024.0	3236.81	316.35	6.16	10.83	21.16
360	convnextv2_atto	288	1024.0	3226.1	317.401	0.91	6.3	3.71
361	mobileone_s2	224	1024.0	3211.19	318.869	1.34	11.55	7.88
362	seresnet50	224	1024.0	3200.07	319.981	4.11	11.13	28.09
363	nf_regnet_b3	288	1024.0	3185.16	321.477	1.67	11.84	18.59
364	crossvit_small_240	240	1024.0	3184.9	321.506	5.09	11.34	26.86
365	res2net50_48w_2s	224	1024.0	3168.87	323.132	4.18	11.72	25.29
366	resnetaa34d	288	1024.0	3155.87	324.463	7.33	8.38	21.82
367	vit_small_r26_s32_224	224	1024.0	3124.44	327.727	3.54	9.44	36.43
368	dla60x	224	1024.0	3106.99	329.567	3.54	13.8	17.35
369	efficientnet_b0_g8_gn	224	1024.0	3104.31	329.853	0.66	6.75	6.56
370	resnext50_32x4d	224	1024.0	3099.2	330.397	4.26	14.4	25.03
371	levit_conv_512	224	1024.0	3078.02	332.67	5.64	10.22	95.17
372	skresnet34	224	1024.0	3073.03	333.21	3.67	5.13	22.28
373	coat_lite_mini	224	1024.0	3058.66	334.777	2.0	12.25	11.01
374	resnet26d	288	1024.0	3053.73	335.317	4.29	13.48	16.01
375	mobileone_s0	224	1024.0	3053.01	335.391	1.09	15.48	5.29
376	levit_512d	224	1024.0	3045.04	336.274	5.85	11.3	92.5
377	cs3sedarknet_l	288	1024.0	3026.08	338.38	6.16	10.83	21.91
378	resnetaa50d	224	1024.0	3022.22	338.813	5.39	12.44	25.58
379	convnext_tiny	224	1024.0	3015.62	339.555	4.47	13.44	28.59
380	eca_nfnet_l0	224	1024.0	3011.21	340.052	4.35	10.47	24.14
381	xcit_nano_12_p16_384	384	1024.0	3011.18	340.055	1.64	12.14	3.05
382	nfnet_l0	224	1024.0	3000.78	341.23	4.36	10.47	35.07
383	resnetrs50	224	1024.0	2989.89	342.477	4.48	12.14	35.69
384	efficientnet_cc_b1_8e	240	1024.0	2988.69	342.615	0.75	15.44	39.72
385	regnetz_b16	288	1024.0	2987.05	342.79	2.39	16.43	9.72
386	seresnet50t	224	1024.0	2984.21	343.128	4.32	11.83	28.1
387	ecaresnet50d	224	1024.0	2975.54	344.128	4.35	11.93	25.58
388	regnetz_c16	256	1024.0	2971.35	344.607	2.51	16.57	13.46
389	densenet121	224	1024.0	2967.84	345.021	2.87	6.9	7.98
390	crossvit_15_240	240	1024.0	2967.06	345.11	5.17	12.01	27.53
391	resnet50s	224	1024.0	2958.0	346.169	5.47	13.52	25.68
392	rexnetr_200	224	1024.0	2955.32	346.483	1.59	15.11	16.52
393	mixnet_l	224	1024.0	2926.26	349.918	0.58	10.84	7.33
394	xcit_tiny_24_p16_224	224	1024.0	2925.33	350.035	2.34	11.82	12.12
395	levit_conv_512d	224	1024.0	2899.99	353.091	5.85	11.3	92.5
396	gcresnext50ts	256	1024.0	2897.54	353.393	3.75	15.46	15.67
397	lambda_resnet26rpt_256	256	1024.0	2887.51	354.621	3.16	11.87	10.99
398	resnext50d_32x4d	224	1024.0	2876.86	355.933	4.5	15.2	25.05
399	resnet32ts	288	1024.0	2868.64	356.953	5.86	14.65	17.96
400	crossvit_15_dagger_240	240	1024.0	2848.99	359.413	5.5	12.68	28.21
401	tiny_vit_21m_224	224	1024.0	2842.09	360.287	4.08	15.96	33.22
402	vit_base_resnet26d_224	224	1024.0	2837.87	360.821	6.93	12.34	101.4
403	tf_efficientnet_cc_b1_8e	240	1024.0	2835.77	361.09	0.75	15.44	39.72
404	cspresnet50	256	1024.0	2834.55	361.245	4.54	11.5	21.62
405	mobilevitv2_100	256	1024.0	2833.62	361.358	1.84	16.08	4.9
406	resnet33ts	288	1024.0	2829.43	361.9	6.02	14.75	19.68
407	vovnet57a	224	1024.0	2821.83	362.874	8.95	7.52	36.64
408	deit3_medium_patch16_224	224	1024.0	2805.09	365.038	7.53	10.99	38.85
409	inception_next_tiny	224	1024.0	2798.9	365.847	4.19	11.98	28.06
410	tf_mixnet_l	224	1024.0	2798.14	365.947	0.58	10.84	7.33
411	res2next50	224	1024.0	2797.04	366.091	4.2	13.71	24.67
412	dla60_res2next	224	1024.0	2795.54	366.285	3.49	13.17	17.03
413	coatnet_pico_rw_224	224	1024.0	2793.27	366.584	1.96	12.91	10.85
414	convnext_tiny_hnf	224	1024.0	2770.64	369.577	4.47	13.44	28.59
415	gcresnet50t	256	1024.0	2767.9	369.943	5.42	14.67	25.9
416	convnextv2_femto	288	1024.0	2762.62	370.652	1.3	7.56	5.23
417	tf_efficientnetv2_b3	300	1024.0	2757.15	371.387	3.04	15.74	14.36
418	legacy_seresnext50_32x4d	224	1024.0	2750.41	372.297	4.26	14.42	27.56
419	ecaresnet50d_pruned	288	1024.0	2749.78	372.383	4.19	10.61	19.94
420	res2net50_26w_4s	224	1024.0	2749.69	372.394	4.28	12.61	25.7
421	seresnext50_32x4d	224	1024.0	2749.17	372.464	4.26	14.42	27.56
422	vgg11_bn	224	1024.0	2746.28	372.857	7.62	7.44	132.87
423	resmlp_24_224	224	1024.0	2745.97	372.9	5.96	10.91	30.02
424	resnetv2_50x1_bit	224	1024.0	2742.41	373.383	4.23	11.11	25.55
425	eca_resnet33ts	288	1024.0	2737.24	374.089	6.02	14.76	19.68
426	efficientnetv2_rw_t	288	1024.0	2736.91	374.133	3.19	16.42	13.65
427	seresnet33ts	288	1024.0	2734.83	374.417	6.02	14.76	19.78
428	nfnet_f0	192	1024.0	2731.03	374.934	7.21	10.16	71.49
429	res2net50_14w_8s	224	1024.0	2724.75	375.804	4.21	13.28	25.06
430	visformer_small	224	1024.0	2720.95	376.328	4.88	11.43	40.22
431	ese_vovnet57b	224	1024.0	2711.8	377.598	8.95	7.52	38.61
432	gcresnet33ts	288	1024.0	2705.39	378.493	6.02	14.78	19.88
433	cspresnet50d	256	1024.0	2702.61	378.881	4.86	12.55	21.64
434	twins_svt_small	224	1024.0	2696.15	379.788	2.82	10.7	24.06
435	efficientvit_l1	224	1024.0	2692.51	380.303	5.27	15.85	52.65
436	resnetblur50	224	1024.0	2689.65	380.707	5.16	12.02	25.56
437	seresnetaa50d	224	1024.0	2682.26	381.757	5.4	12.46	28.11
438	fbnetv3_g	288	1024.0	2673.23	383.046	1.77	21.09	16.62
439	cspresnet50w	256	1024.0	2671.97	383.228	5.04	12.19	28.12
440	dla60_res2net	224	1024.0	2669.84	383.53	4.15	12.34	20.85
441	convnext_nano	288	1024.0	2669.05	383.645	4.06	13.84	15.59
442	gc_efficientnetv2_rw_t	288	1024.0	2659.37	385.042	3.2	16.45	13.68
443	gcvit_xxtiny	224	1024.0	2658.4	385.182	2.14	15.36	12.0
444	poolformerv2_s12	224	1024.0	2624.04	390.223	1.83	5.53	11.89
445	vit_relpos_medium_patch16_rpn_224	224	1024.0	2618.88	390.989	7.5	12.13	38.73
446	mobileone_s3	224	1024.0	2616.83	391.296	1.94	13.85	10.17
447	davit_tiny	224	1024.0	2612.7	391.92	4.47	17.08	28.36
448	vit_relpos_medium_patch16_224	224	1024.0	2603.89	393.246	7.5	12.13	38.75
449	resnet51q	256	1024.0	2602.52	393.454	6.38	16.55	35.7
450	gmixer_24_224	224	1024.0	2594.59	394.657	5.28	14.45	24.72
451	maxvit_pico_rw_256	256	768.0	2593.58	296.105	1.68	18.77	7.46
452	vit_srelpos_medium_patch16_224	224	1024.0	2591.17	395.176	7.49	11.32	38.74
453	vit_relpos_medium_patch16_cls_224	224	1024.0	2587.16	395.789	7.55	13.3	38.76
454	maxvit_rmlp_pico_rw_256	256	768.0	2587.02	296.857	1.69	21.32	7.52
455	nf_regnet_b3	320	1024.0	2582.41	396.514	2.05	14.61	18.59
456	res2net50d	224	1024.0	2577.65	397.25	4.52	13.41	25.72
457	cs3darknet_focus_x	256	1024.0	2569.33	398.536	8.03	10.69	35.02
458	densenetblur121d	224	1024.0	2559.52	400.063	3.11	7.9	8.0
459	inception_v3	299	1024.0	2546.29	402.143	5.73	8.97	23.83
460	coatnet_0_rw_224	224	1024.0	2545.57	402.256	4.23	15.1	27.44
461	repvgg_b1g4	224	1024.0	2545.06	402.332	8.15	10.64	39.97
462	regnetx_032	224	1024.0	2534.07	404.077	3.2	11.37	15.3
463	twins_pcpvt_small	224	1024.0	2533.92	404.104	3.68	15.51	24.11
464	resnetblur50d	224	1024.0	2528.9	404.909	5.4	12.82	25.58
465	rexnet_200	224	1024.0	2519.88	406.358	1.56	14.91	16.37
466	resnetrs101	192	1024.0	2505.12	408.751	6.04	12.7	63.62
467	resnet26t	320	1024.0	2502.87	409.119	5.24	16.44	16.01
468	nf_ecaresnet50	224	1024.0	2502.03	409.253	4.21	11.13	25.56
469	convnext_nano_ols	288	1024.0	2497.73	409.961	4.38	15.5	15.65
470	convnextv2_nano	224	1024.0	2497.72	409.963	2.46	8.37	15.62
471	nf_seresnet50	224	1024.0	2494.79	410.425	4.21	11.13	28.09
472	regnety_032	224	1024.0	2483.68	412.275	3.2	11.26	19.44
473	vit_medium_patch16_gap_240	240	1024.0	2477.36	413.332	8.6	12.57	44.4
474	cs3darknet_x	256	1024.0	2475.51	413.641	8.38	11.35	35.05
475	densenet169	224	1024.0	2463.83	415.603	3.4	7.3	14.15
476	xcit_small_12_p16_224	224	1024.0	2460.07	416.237	4.82	12.57	26.25
477	cspresnext50	256	1024.0	2452.36	417.546	4.05	15.86	20.57
478	mobilevit_s	256	1024.0	2447.35	418.395	1.86	17.03	5.58
479	darknet53	256	1024.0	2439.82	419.693	9.31	12.39	41.61
480	darknetaa53	256	1024.0	2432.07	421.03	7.97	12.39	36.02
481	edgenext_small	320	1024.0	2429.25	421.516	1.97	14.16	5.59
482	seresnext26t_32x4d	288	1024.0	2412.74	424.404	4.46	16.68	16.81
483	sehalonet33ts	256	1024.0	2403.77	425.986	3.55	14.7	13.69
484	seresnext26d_32x4d	288	1024.0	2391.16	428.231	4.51	16.85	16.81
485	resnet61q	256	1024.0	2368.17	432.39	7.8	17.01	36.85
486	fastvit_t12	256	1024.0	2356.34	434.562	1.42	12.42	7.55
487	vit_base_r26_s32_224	224	1024.0	2354.84	434.838	6.76	11.54	101.38
488	focalnet_tiny_srf	224	1024.0	2353.35	435.113	4.42	16.32	28.43
489	resnetv2_101	224	1024.0	2342.24	437.176	7.83	16.23	44.54
490	cs3sedarknet_x	256	1024.0	2329.01	439.66	8.38	11.35	35.4
491	nf_resnet50	256	1024.0	2318.52	441.645	5.46	14.52	25.56
492	xcit_nano_12_p8_224	224	1024.0	2310.67	443.15	2.16	15.71	3.05
493	resnest26d	224	1024.0	2309.28	443.418	3.64	9.97	17.07
494	coatnet_rmlp_nano_rw_224	224	1024.0	2308.34	443.598	2.51	18.21	15.15
495	resnetv2_50	288	1024.0	2302.9	444.644	6.79	18.37	25.55
496	ecaresnet50t	256	1024.0	2299.59	445.285	5.64	15.45	25.57
497	gmlp_s16_224	224	1024.0	2291.16	446.925	4.42	15.1	19.42
498	efficientnet_lite3	300	1024.0	2290.17	447.117	1.65	21.85	8.2
499	dm_nfnet_f0	192	1024.0	2271.28	450.836	7.21	10.16	71.49
500	resnet101	224	1024.0	2263.99	452.287	7.83	16.23	44.55
501	ecaresnet26t	320	1024.0	2258.47	453.393	5.24	16.44	16.01
502	edgenext_base	256	1024.0	2256.96	453.695	3.85	15.58	18.51
503	efficientnetv2_s	288	1024.0	2251.36	454.825	4.75	20.13	21.46
504	skresnet50	224	1024.0	2250.82	454.933	4.11	12.5	25.8
505	dla102	224	1024.0	2248.24	455.455	7.19	14.18	33.27
506	edgenext_small_rw	320	1024.0	2240.98	456.929	2.46	14.85	7.83
507	ecaresnetlight	288	1024.0	2235.21	458.11	6.79	13.91	30.16
508	dpn68b	288	1024.0	2234.13	458.331	3.89	17.3	12.61
509	gcresnext50ts	288	1024.0	2232.45	458.676	4.75	19.57	15.67
510	fastvit_s12	256	1024.0	2229.72	459.239	1.82	13.67	9.47
511	fastvit_sa12	256	1024.0	2225.03	460.206	1.96	13.83	11.58
512	focalnet_tiny_lrf	224	1024.0	2222.33	460.766	4.49	17.76	28.65
513	resnetv2_101d	224	1024.0	2216.51	461.976	8.07	17.04	44.56
514	resnet101c	224	1024.0	2202.12	464.995	8.08	17.04	44.57
515	vit_base_resnet50d_224	224	1024.0	2199.36	465.578	8.68	16.1	110.97
516	regnetv_040	288	1024.0	2190.89	467.375	6.6	20.3	20.64
517	vit_medium_patch16_gap_256	256	1024.0	2190.03	467.563	9.78	14.29	38.86
518	resnet50	288	1024.0	2185.5	468.532	6.8	18.37	25.56
519	gcresnet50t	288	1024.0	2180.99	469.5	6.86	18.57	25.9
520	regnety_040	288	1024.0	2169.28	472.031	6.61	20.3	20.65
521	vgg13	224	1024.0	2159.6	474.15	11.31	12.25	133.05
522	eva02_small_patch14_224	224	1024.0	2151.59	475.915	5.53	12.34	21.62
523	vit_medium_patch16_reg4_gap_256	256	1024.0	2149.02	476.485	9.93	14.51	38.87
524	efficientnetv2_rw_s	288	1024.0	2146.83	476.971	4.91	21.41	23.94
525	ecaresnet101d_pruned	288	1024.0	2141.83	478.084	5.75	12.71	24.88
526	mobilevitv2_125	256	1024.0	2139.71	478.555	2.86	20.1	7.48
527	vit_medium_patch16_reg4_256	256	1024.0	2136.17	479.352	9.97	14.56	38.87
528	skresnet50d	224	1024.0	2134.1	479.815	4.36	13.31	25.82
529	pvt_v2_b2	224	1024.0	2119.72	483.066	3.9	24.96	25.36
530	hrnet_w18_ssld	224	1024.0	2114.47	484.27	4.32	16.31	21.3
531	convnextv2_pico	288	1024.0	2113.62	484.464	2.27	10.08	9.07
532	eva02_tiny_patch14_336	336	1024.0	2113.11	484.582	3.14	13.85	5.76
533	efficientvit_l2	224	1024.0	2109.14	485.494	6.97	19.58	63.71
534	hrnet_w18	224	1024.0	2100.77	487.428	4.32	16.31	21.3
535	regnetx_040	224	1024.0	2099.85	487.636	3.99	12.2	22.12
536	tf_efficientnet_lite3	300	1024.0	2090.5	489.823	1.65	21.85	8.2
537	wide_resnet50_2	224	1024.0	2081.66	491.904	11.43	14.4	68.88
538	resnet51q	288	1024.0	2069.71	494.744	8.07	20.94	35.7
539	poolformer_s24	224	1024.0	2067.46	495.278	3.41	10.68	21.39
540	sebotnet33ts_256	256	512.0	2066.45	247.758	3.89	17.46	13.7
541	efficientformer_l3	224	1024.0	2064.62	495.963	3.93	12.01	31.41
542	resnest50d_1s4x24d	224	1024.0	2057.55	497.667	4.43	13.57	25.68
543	gcvit_xtiny	224	1024.0	2053.45	498.662	2.93	20.26	19.98
544	cspdarknet53	256	1024.0	2048.51	499.863	6.57	16.81	27.64
545	crossvit_18_240	240	1024.0	2029.53	504.539	8.21	16.14	43.27
546	mixnet_xl	224	1024.0	2029.05	504.653	0.93	14.57	11.9
547	vit_base_patch32_384	384	1024.0	2028.15	504.881	12.67	12.14	88.3
548	efficientnet_b3	288	1024.0	2027.72	504.989	1.63	21.49	12.23
549	vit_base_patch32_clip_384	384	1024.0	2026.31	505.34	12.67	12.14	88.3
550	resnet50t	288	1024.0	2024.16	505.879	7.14	19.53	25.57
551	dla102x	224	1024.0	2023.35	506.08	5.89	19.42	26.31
552	legacy_seresnet101	224	1024.0	2012.58	508.788	7.61	15.74	49.33
553	resnet50d	288	1024.0	2012.14	508.9	7.19	19.7	25.58
554	cs3edgenet_x	256	1024.0	2002.36	511.384	11.53	12.92	47.82
555	resnetaa101d	224	1024.0	1994.67	513.346	9.12	17.56	44.57
556	repvgg_b1	224	1024.0	1994.42	513.418	13.16	10.64	57.42
557	res2net50_26w_6s	224	1024.0	1979.48	517.295	6.33	15.28	37.05
558	regnetz_d32	256	1024.0	1978.14	517.642	5.98	23.74	27.58
559	cs3sedarknet_xdw	256	1024.0	1970.5	519.653	5.97	17.18	21.6
560	resnetaa50	288	1024.0	1968.61	520.152	8.52	19.24	25.56
561	seresnet101	224	1024.0	1966.15	520.803	7.84	16.27	49.33
562	resnet101s	224	1024.0	1964.56	521.226	9.19	18.64	44.67
563	cs3darknet_x	288	1024.0	1958.87	522.739	10.6	14.36	35.05
564	crossvit_18_dagger_240	240	1024.0	1955.55	523.625	8.65	16.91	44.27
565	swin_tiny_patch4_window7_224	224	1024.0	1951.67	524.668	4.51	17.06	28.29
566	tresnet_v2_l	224	1024.0	1947.69	525.738	8.85	16.34	46.17
567	ese_vovnet39b	288	1024.0	1941.03	527.543	11.71	11.13	24.57
568	regnetz_d8	256	1024.0	1940.13	527.785	3.97	23.74	23.37
569	tf_efficientnetv2_s	300	1024.0	1939.51	527.958	5.35	22.73	21.46
570	regnetz_c16	320	1024.0	1933.29	529.65	3.92	25.88	13.46
571	coatnet_bn_0_rw_224	224	1024.0	1926.49	531.525	4.48	18.41	27.44
572	darknet53	288	1024.0	1924.44	532.092	11.78	15.68	41.61
573	resnext101_32x4d	224	1024.0	1923.83	532.261	8.01	21.23	44.18
574	coatnet_rmlp_0_rw_224	224	1024.0	1920.22	533.259	4.52	21.26	27.45
575	xcit_tiny_12_p16_384	384	1024.0	1917.57	533.997	3.64	18.25	6.72
576	darknetaa53	288	1024.0	1915.93	534.454	10.08	15.68	36.02
577	mobileone_s4	224	1024.0	1915.84	534.474	3.04	17.74	14.95
578	maxxvit_rmlp_nano_rw_256	256	768.0	1913.61	401.326	4.17	21.53	16.78
579	nest_tiny	224	1024.0	1909.31	536.303	5.24	14.75	17.06
580	regnetz_040	256	1024.0	1906.99	536.946	4.06	24.19	27.12
581	nf_regnet_b4	320	1024.0	1906.99	536.957	3.29	19.88	30.21
582	seresnet50	288	1024.0	1902.22	538.306	6.8	18.39	28.09
583	pvt_v2_b2_li	224	1024.0	1897.86	539.539	3.77	25.04	22.55
584	regnetz_040_h	256	1024.0	1896.27	539.981	4.12	24.29	28.94
585	densenet201	224	1024.0	1895.14	540.319	4.34	7.85	20.01
586	halonet50ts	256	1024.0	1887.53	542.495	5.3	19.2	22.73
587	nest_tiny_jx	224	1024.0	1885.06	543.199	5.24	14.75	17.06
588	vgg13_bn	224	1024.0	1884.94	543.241	11.33	12.25	133.05
589	regnetx_080	224	1024.0	1883.47	543.661	8.02	14.06	39.57
590	vit_large_patch32_224	224	1024.0	1882.39	543.977	15.27	11.11	305.51
591	ecaresnet101d	224	1024.0	1880.92	544.404	8.08	17.07	44.57
592	resnet61q	288	1024.0	1874.14	546.373	9.87	21.52	36.85
593	nf_resnet101	224	1024.0	1864.42	549.218	8.01	16.23	44.55
594	cs3se_edgenet_x	256	1024.0	1859.86	550.568	11.53	12.94	50.72
595	repvit_m2_3	224	1024.0	1852.95	552.61	4.57	26.21	23.69
596	resmlp_36_224	224	1024.0	1843.66	555.406	8.91	16.33	44.69
597	cs3sedarknet_x	288	1024.0	1843.16	555.556	10.6	14.37	35.4
598	resnext50_32x4d	288	1024.0	1841.23	556.139	7.04	23.81	25.03
599	convnext_small	224	1024.0	1838.66	556.915	8.71	21.56	50.22
600	convnext_tiny	288	1024.0	1835.18	557.972	7.39	22.21	28.59
601	resnetv2_50d_gn	224	1024.0	1829.29	559.767	4.38	11.92	25.57
602	resnetaa50d	288	1024.0	1827.2	560.408	8.92	20.57	25.58
603	pit_b_224	224	1024.0	1823.77	561.458	10.56	16.6	73.76
604	eca_nfnet_l0	288	1024.0	1822.69	561.796	7.12	17.29	24.14
605	nfnet_l0	288	1024.0	1817.7	563.332	7.13	17.29	35.07
606	sequencer2d_s	224	1024.0	1816.41	563.738	4.96	11.31	27.65
607	pit_b_distilled_224	224	1024.0	1810.4	565.6	10.63	16.67	74.79
608	nf_resnet50	288	1024.0	1794.38	570.655	6.88	18.37	25.56
609	twins_pcpvt_base	224	1024.0	1790.37	571.935	6.46	21.35	43.83
610	rexnetr_200	288	768.0	1782.92	430.745	2.62	24.96	16.52
611	seresnet50t	288	1024.0	1780.59	575.079	7.14	19.55	28.1
612	cait_xxs24_224	224	1024.0	1779.24	575.513	2.53	20.29	11.96
613	swin_s3_tiny_224	224	1024.0	1777.31	576.139	4.64	19.13	28.33
614	resnet50_gn	224	1024.0	1776.88	576.279	4.14	11.11	25.56
615	ecaresnet50d	288	1024.0	1775.84	576.616	7.19	19.72	25.58
616	resnetblur101d	224	1024.0	1765.86	579.878	9.12	17.94	44.57
617	densenet121	288	1024.0	1761.12	581.437	4.74	11.41	7.98
618	coat_lite_small	224	1024.0	1760.12	581.767	3.96	22.09	19.84
619	mixer_b16_224	224	1024.0	1758.48	582.299	12.62	14.53	59.88
620	mobilevitv2_150	256	768.0	1748.31	439.266	4.09	24.11	10.59
621	efficientvit_b3	224	1024.0	1742.56	587.628	3.99	26.9	48.65
622	rexnetr_300	224	1024.0	1736.82	589.571	3.39	22.16	34.81
623	vgg16	224	1024.0	1730.88	591.595	15.47	13.56	138.36
624	maxxvitv2_nano_rw_256	256	768.0	1724.32	445.384	6.12	19.66	23.7
625	res2net101_26w_4s	224	1024.0	1723.01	594.296	8.1	18.45	45.21
626	resnext50d_32x4d	288	1024.0	1717.01	596.374	7.44	25.13	25.05
627	maxvit_nano_rw_256	256	768.0	1709.05	449.363	4.26	25.76	15.45
628	legacy_seresnext101_32x4d	224	1024.0	1707.02	599.865	8.02	21.26	48.96
629	seresnext101_32x4d	224	1024.0	1706.74	599.963	8.02	21.26	48.96
630	maxvit_rmlp_nano_rw_256	256	768.0	1705.93	450.183	4.28	27.4	15.5
631	resnetv2_50d_frn	224	1024.0	1703.71	601.028	4.33	11.92	25.59
632	mobilevitv2_175	256	512.0	1701.95	300.817	5.54	28.13	14.25
633	tf_efficientnet_b3	300	1024.0	1694.25	604.385	1.87	23.83	12.23
634	convnext_tiny_hnf	288	1024.0	1681.52	608.96	7.39	22.21	28.59
635	ese_vovnet39b_evos	224	1024.0	1671.22	612.716	7.07	6.74	24.58
636	res2net50_26w_8s	224	1024.0	1656.9	618.009	8.37	17.95	48.4
637	resnet101d	256	1024.0	1654.59	618.871	10.55	22.25	44.57
638	tresnet_l	224	1024.0	1652.13	619.794	10.9	11.9	55.99
639	res2net101d	224	1024.0	1652.09	619.808	8.35	19.25	45.23
640	mixer_l32_224	224	1024.0	1651.22	620.129	11.27	19.86	206.94
641	regnetz_b16_evos	224	1024.0	1648.87	621.016	1.43	9.95	9.74
642	botnet50ts_256	256	512.0	1645.51	311.14	5.54	22.23	22.74
643	efficientnet_b3	320	1024.0	1641.76	623.708	2.01	26.52	12.23
644	seresnext50_32x4d	288	1024.0	1638.34	625.012	7.04	23.82	27.56
645	coatnet_0_224	224	512.0	1634.58	313.22	4.43	21.14	25.04
646	swinv2_cr_tiny_224	224	1024.0	1629.27	628.491	4.66	28.45	28.33
647	inception_next_small	224	1024.0	1628.58	628.755	8.36	19.27	49.37
648	resnetv2_152	224	1024.0	1628.46	628.801	11.55	22.56	60.19
649	regnetx_064	224	1024.0	1628.2	628.898	6.49	16.37	26.21
650	hrnet_w32	224	1024.0	1627.55	629.157	8.97	22.02	41.23
651	convnextv2_tiny	224	1024.0	1627.26	629.266	4.47	13.44	28.64
652	seresnetaa50d	288	1024.0	1622.33	631.178	8.92	20.59	28.11
653	davit_small	224	1024.0	1614.32	634.313	8.69	27.54	49.75
654	regnety_040_sgn	224	1024.0	1612.57	634.996	4.03	12.29	20.65
655	legacy_xception	299	768.0	1604.43	478.663	8.4	35.83	22.86
656	swinv2_cr_tiny_ns_224	224	1024.0	1600.49	639.793	4.66	28.45	28.33
657	resnetblur50	288	1024.0	1598.7	640.511	8.52	19.87	25.56
658	efficientnet_el	300	1024.0	1595.26	641.889	8.0	30.7	10.59
659	efficientnet_el_pruned	300	1024.0	1592.53	642.988	8.0	30.7	10.59
660	resnet152	224	1024.0	1589.58	644.183	11.56	22.56	60.19
661	deit_base_patch16_224	224	1024.0	1581.19	647.603	16.87	16.49	86.57
662	cs3edgenet_x	288	1024.0	1577.26	649.216	14.59	16.36	47.82
663	deit_base_distilled_patch16_224	224	1024.0	1575.74	649.842	16.95	16.58	87.34
664	vit_base_patch16_224	224	1024.0	1574.94	650.173	16.87	16.49	86.57
665	vit_base_patch16_224_miil	224	1024.0	1574.63	650.301	16.88	16.5	94.4
666	vit_base_patch16_clip_224	224	1024.0	1574.46	650.371	16.87	16.49	86.57
667	vit_base_patch16_siglip_224	224	1024.0	1571.54	651.577	17.02	16.71	92.88
668	resnetv2_152d	224	1024.0	1564.52	654.501	11.8	23.36	60.2
669	vit_base_patch16_gap_224	224	1024.0	1563.13	655.085	16.78	16.41	86.57
670	halo2botnet50ts_256	256	1024.0	1562.09	655.52	5.02	21.78	22.64
671	resnet152c	224	1024.0	1558.11	657.195	11.8	23.36	60.21
672	ese_vovnet99b	224	1024.0	1554.99	658.512	16.51	11.27	63.2
673	vit_small_resnet50d_s16_224	224	1024.0	1551.97	659.792	13.0	21.12	57.53
674	nf_seresnet101	224	1024.0	1549.92	660.662	8.02	16.27	49.33
675	nf_ecaresnet101	224	1024.0	1549.88	660.683	8.01	16.27	44.55
676	tf_efficientnet_el	300	1024.0	1543.58	663.384	8.0	30.7	10.59
677	coatnet_rmlp_1_rw_224	224	1024.0	1542.97	663.643	7.44	28.08	41.69
678	nfnet_f0	256	1024.0	1541.8	664.144	12.62	18.05	71.49
679	vgg16_bn	224	1024.0	1533.25	667.85	15.5	13.56	138.37
680	resnest50d	224	1024.0	1530.42	669.084	5.4	14.36	27.48
681	caformer_s18	224	1024.0	1528.28	670.023	3.9	15.18	26.34
682	pvt_v2_b3	224	1024.0	1527.57	670.328	6.71	33.8	45.24
683	densenetblur121d	288	1024.0	1521.38	673.062	5.14	13.06	8.0
684	maxvit_tiny_rw_224	224	768.0	1520.98	504.928	4.93	28.54	29.06
685	mvitv2_tiny	224	1024.0	1518.09	674.509	4.7	21.16	24.17
686	vit_base_patch16_rpn_224	224	1024.0	1516.7	675.134	16.78	16.41	86.54
687	convnextv2_nano	288	768.0	1514.74	507.006	4.06	13.84	15.62
688	regnety_032	288	1024.0	1514.59	676.077	5.29	18.61	19.44
689	rexnet_300	224	1024.0	1508.74	678.701	3.44	22.4	34.71
690	resnetblur50d	288	1024.0	1506.45	679.732	8.92	21.19	25.58
691	deit3_base_patch16_224	224	1024.0	1497.14	683.959	16.87	16.49	86.59
692	convit_small	224	1024.0	1494.54	685.148	5.76	17.87	27.78
693	vit_base_patch32_clip_448	448	1024.0	1493.83	685.476	17.21	16.49	88.34
694	dla169	224	1024.0	1487.25	688.504	11.6	20.2	53.39
695	skresnext50_32x4d	224	1024.0	1470.99	696.12	4.5	17.18	27.48
696	xcit_tiny_12_p8_224	224	1024.0	1465.13	698.903	4.81	23.6	6.71
697	vit_small_patch16_36x1_224	224	1024.0	1460.65	701.044	12.63	24.59	64.67
698	ecaresnet50t	320	1024.0	1451.46	705.484	8.82	24.13	25.57
699	beitv2_base_patch16_224	224	1024.0	1448.02	707.161	16.87	16.49	86.53
700	vgg19	224	1024.0	1441.93	710.149	19.63	14.86	143.67
701	beit_base_patch16_224	224	1024.0	1440.48	710.862	16.87	16.49	86.53
702	hrnet_w30	224	1024.0	1436.17	712.996	8.15	21.21	37.71
703	edgenext_base	320	1024.0	1435.98	713.087	6.01	24.32	18.51
704	resnet152s	224	1024.0	1434.4	713.876	12.92	24.96	60.32
705	convformer_s18	224	1024.0	1427.19	717.481	3.96	15.82	26.77
706	resnetv2_50d_evos	224	1024.0	1426.57	717.793	4.33	11.92	25.59
707	focalnet_small_srf	224	1024.0	1426.35	717.904	8.62	26.26	49.89
708	sequencer2d_m	224	1024.0	1413.9	724.228	6.55	14.26	38.31
709	vit_relpos_base_patch16_rpn_224	224	1024.0	1408.36	727.069	16.8	17.63	86.41
710	volo_d1_224	224	1024.0	1407.83	727.348	6.94	24.43	26.63
711	regnety_080	224	1024.0	1407.5	727.512	8.0	17.97	39.18
712	vit_small_patch16_18x2_224	224	1024.0	1407.09	727.729	12.63	24.59	64.67
713	gcvit_tiny	224	1024.0	1405.32	728.65	4.79	29.82	28.22
714	dpn92	224	1024.0	1404.08	729.292	6.54	18.21	37.67
715	vit_relpos_base_patch16_224	224	1024.0	1402.98	729.864	16.8	17.63	86.43
716	resnetv2_101	288	1024.0	1402.28	730.227	12.94	26.83	44.54
717	regnetx_160	224	1024.0	1400.84	730.974	15.99	25.52	54.28
718	dla102x2	224	1024.0	1395.12	733.975	9.34	29.91	41.28
719	legacy_seresnet152	224	1024.0	1394.86	734.109	11.33	22.08	66.82
720	vit_relpos_base_patch16_clsgap_224	224	1024.0	1394.83	734.131	16.88	17.72	86.43
721	vit_relpos_base_patch16_cls_224	224	1024.0	1392.12	735.556	16.88	17.72	86.43
722	vit_small_patch16_384	384	1024.0	1390.73	736.291	12.45	24.15	22.2
723	poolformer_s36	224	1024.0	1388.46	737.493	5.0	15.82	30.86
724	vit_base_patch16_clip_quickgelu_224	224	1024.0	1388.13	737.672	16.87	16.49	86.19
725	densenet161	224	1024.0	1384.23	739.75	7.79	11.06	28.68
726	flexivit_base	240	1024.0	1380.45	741.777	19.35	18.92	86.59
727	efficientformerv2_s0	224	1024.0	1377.72	743.244	0.41	5.3	3.6
728	seresnet152	224	1024.0	1371.27	746.737	11.57	22.61	66.82
729	poolformerv2_s24	224	1024.0	1356.43	754.905	3.42	10.68	21.34
730	resnet101	288	1024.0	1354.29	756.102	12.95	26.83	44.55
731	focalnet_small_lrf	224	1024.0	1339.63	764.378	8.74	28.61	50.34
732	inception_v4	299	1024.0	1338.22	765.183	12.28	15.09	42.68
733	repvgg_b2	224	1024.0	1336.97	765.895	20.45	12.9	89.02
734	nf_regnet_b4	384	1024.0	1327.28	771.488	4.7	28.61	30.21
735	repvgg_b2g4	224	1024.0	1323.55	773.658	12.63	12.9	61.76
736	eca_nfnet_l1	256	1024.0	1319.97	775.763	9.62	22.04	41.41
737	fastvit_sa24	256	1024.0	1310.4	781.428	3.79	23.92	21.55
738	xcit_small_24_p16_224	224	1024.0	1307.21	783.335	9.1	23.63	47.67
739	twins_pcpvt_large	224	1024.0	1303.57	785.524	9.53	30.21	60.99
740	vit_base_patch16_xp_224	224	1024.0	1302.82	785.975	16.85	16.49	86.51
741	maxvit_tiny_tf_224	224	768.0	1301.05	590.28	5.42	31.21	30.92
742	deit3_small_patch16_384	384	1024.0	1298.34	788.686	12.45	24.15	22.21
743	coatnet_rmlp_1_rw2_224	224	1024.0	1296.36	789.892	7.71	32.74	41.72
744	coatnet_1_rw_224	224	1024.0	1295.8	790.234	7.63	27.22	41.72
745	regnety_080_tv	224	1024.0	1291.63	792.778	8.51	19.73	39.38
746	vgg19_bn	224	1024.0	1290.82	793.286	19.66	14.86	143.68
747	mixnet_xxl	224	768.0	1286.88	596.774	2.04	23.43	23.96
748	dm_nfnet_f0	256	1024.0	1286.75	795.79	12.62	18.05	71.49
749	efficientnet_b4	320	768.0	1280.17	599.91	3.13	34.76	19.34
750	hrnet_w18_ssld	288	1024.0	1279.49	800.308	7.14	26.96	21.3
751	maxxvit_rmlp_tiny_rw_256	256	768.0	1274.84	602.417	6.36	32.69	29.64
752	efficientformerv2_s1	224	1024.0	1271.59	805.28	0.67	7.66	6.19
753	convnext_base	224	1024.0	1268.86	807.011	15.38	28.75	88.59
754	mobilevitv2_200	256	512.0	1268.57	403.59	7.22	32.15	18.45
755	regnetz_d32	320	1024.0	1265.97	808.844	9.33	37.08	27.58
756	efficientnetv2_s	384	1024.0	1265.12	809.401	8.44	35.77	21.46
757	twins_svt_base	224	1024.0	1261.93	811.442	8.36	20.42	56.07
758	wide_resnet50_2	288	1024.0	1242.89	823.878	18.89	23.81	68.88
759	regnetz_d8	320	1024.0	1242.36	824.221	6.19	37.08	23.37
760	regnetz_040	320	512.0	1238.82	413.274	6.35	37.78	27.12
761	regnetz_040_h	320	512.0	1231.07	415.879	6.43	37.94	28.94
762	nest_small	224	1024.0	1230.37	832.252	9.41	22.88	38.35
763	tf_efficientnetv2_s	384	1024.0	1224.58	836.191	8.44	35.77	21.46
764	nest_small_jx	224	1024.0	1220.76	838.798	9.41	22.88	38.35
765	maxvit_tiny_rw_256	256	768.0	1213.37	632.937	6.44	37.27	29.07
766	maxvit_rmlp_tiny_rw_256	256	768.0	1210.44	634.468	6.47	39.84	29.15
767	vit_base_patch16_siglip_256	256	1024.0	1208.23	847.511	22.23	21.83	92.93
768	efficientnetv2_rw_s	384	1024.0	1208.22	847.514	8.72	38.03	23.94
769	resnetaa101d	288	1024.0	1207.75	847.844	15.07	29.03	44.57
770	swin_small_patch4_window7_224	224	1024.0	1206.81	848.507	8.77	27.47	49.61
771	dpn98	224	1024.0	1206.02	849.061	11.73	25.2	61.57
772	swinv2_tiny_window8_256	256	1024.0	1197.34	855.217	5.96	24.57	28.35
773	cs3se_edgenet_x	320	1024.0	1196.49	855.827	18.01	20.21	50.72
774	resnext101_64x4d	224	1024.0	1196.17	856.053	15.52	31.21	83.46
775	cait_xxs36_224	224	1024.0	1193.04	858.302	3.77	30.34	17.3
776	resnext101_32x8d	224	1024.0	1188.06	861.896	16.48	31.21	88.79
777	seresnet101	288	1024.0	1178.9	868.597	12.95	26.87	49.33
778	resnet152d	256	1024.0	1177.58	869.569	15.41	30.51	60.21
779	wide_resnet101_2	224	1024.0	1172.43	873.387	22.8	21.23	126.89
780	crossvit_base_240	240	1024.0	1171.25	874.269	20.13	22.67	105.03
781	resnet200	224	1024.0	1159.72	882.961	15.07	32.19	64.67
782	inception_resnet_v2	299	1024.0	1156.1	885.722	13.18	25.06	55.84
783	rexnetr_300	288	512.0	1153.3	443.932	5.59	36.61	34.81
784	resnetrs101	288	1024.0	1142.76	896.066	13.56	28.53	63.62
785	davit_base	224	1024.0	1141.57	896.996	15.36	36.72	87.95
786	tresnet_xl	224	1024.0	1136.08	901.333	15.2	15.34	78.44
787	coat_tiny	224	1024.0	1135.01	902.184	4.35	27.2	5.5
788	tnt_s_patch16_224	224	1024.0	1134.91	902.262	5.24	24.37	23.76
789	mvitv2_small	224	1024.0	1131.08	905.308	7.0	28.08	34.87
790	ecaresnet101d	288	1024.0	1130.54	905.749	13.35	28.19	44.57
791	vit_base_patch16_reg8_gap_256	256	1024.0	1124.62	910.517	22.6	22.09	86.62
792	maxvit_tiny_pm_256	256	768.0	1121.86	684.565	6.31	40.82	30.09
793	hrnet_w40	224	1024.0	1119.9	914.356	12.75	25.29	57.56
794	convnext_small	288	1024.0	1119.4	914.761	14.39	35.65	50.22
795	nfnet_f1	224	1024.0	1117.42	916.384	17.87	22.94	132.63
796	efficientnet_lite4	380	768.0	1117.23	687.403	4.04	45.66	13.01
797	pvt_v2_b4	224	1024.0	1107.81	924.328	9.83	48.14	62.56
798	seresnext101_64x4d	224	1024.0	1107.71	924.416	15.53	31.25	88.23
799	seresnext101_32x8d	224	1024.0	1101.53	929.602	16.48	31.25	93.57
800	resnetv2_50d_gn	288	1024.0	1100.54	930.437	7.24	19.7	25.57
801	coatnet_1_224	224	512.0	1098.68	466.003	8.28	31.3	42.23
802	repvgg_b3g4	224	1024.0	1097.61	932.923	17.89	15.1	83.83
803	samvit_base_patch16_224	224	1024.0	1097.38	933.118	16.83	17.2	86.46
804	eva02_base_patch16_clip_224	224	1024.0	1094.75	935.361	16.9	18.91	86.26
805	mvitv2_small_cls	224	1024.0	1086.56	942.407	7.04	28.17	34.87
806	vit_large_r50_s32_224	224	1024.0	1082.13	946.268	19.45	22.22	328.99
807	inception_next_base	224	1024.0	1079.66	948.435	14.85	25.69	86.67
808	resnet50_gn	288	1024.0	1076.3	951.4	6.85	18.37	25.56
809	pvt_v2_b5	224	1024.0	1073.94	953.474	11.39	44.23	81.96
810	seresnext101d_32x8d	224	1024.0	1071.41	955.74	16.72	32.05	93.59
811	efficientnetv2_m	320	1024.0	1070.2	956.818	11.01	39.97	54.14
812	vit_small_r26_s32_384	384	1024.0	1066.07	960.526	10.24	27.67	36.47
813	resnetblur101d	288	1024.0	1059.66	966.334	15.07	29.65	44.57
814	resnet101d	320	1024.0	1045.1	979.801	16.48	34.77	44.57
815	regnetz_e8	256	1024.0	1042.94	981.82	9.91	40.94	57.7
816	tf_efficientnet_lite4	380	768.0	1038.99	739.169	4.04	45.66	13.01
817	xception41p	299	768.0	1034.81	742.157	9.25	39.86	26.91
818	repvgg_b3	224	1024.0	1031.23	992.974	29.16	15.1	123.09
819	xcit_tiny_24_p16_384	384	1024.0	1026.84	997.227	6.87	34.29	12.12
820	resnetrs152	256	1024.0	1024.28	999.711	15.59	30.83	86.62
821	seresnet152d	256	1024.0	1022.13	1001.814	15.42	30.56	66.84
822	swinv2_cr_small_224	224	1024.0	1005.65	1018.232	9.07	50.27	49.7
823	vit_base_patch16_plus_240	240	1024.0	1004.91	1018.982	26.31	22.07	117.56
824	regnetz_b16_evos	288	768.0	997.65	769.796	2.36	16.43	9.74
825	focalnet_base_srf	224	1024.0	995.12	1029.007	15.28	35.01	88.15
826	swinv2_cr_small_ns_224	224	1024.0	993.65	1030.528	9.08	50.27	49.7
827	convnextv2_small	224	1024.0	992.07	1032.17	8.71	21.56	50.32
828	convnextv2_tiny	288	768.0	989.58	776.074	7.39	22.21	28.64
829	vit_small_patch8_224	224	1024.0	985.02	1039.56	16.76	32.86	21.67
830	regnety_040_sgn	288	1024.0	979.5	1045.407	6.67	20.3	20.65
831	regnetz_c16_evos	256	768.0	978.11	785.174	2.48	16.57	13.49
832	vit_base_r50_s16_224	224	1024.0	971.42	1054.108	20.94	27.88	97.89
833	hrnet_w44	224	1024.0	967.41	1058.48	14.94	26.92	67.06
834	efficientformer_l7	224	1024.0	966.26	1059.742	10.17	24.45	82.23
835	hrnet_w48_ssld	224	1024.0	963.59	1062.678	17.34	28.56	77.47
836	hrnet_w48	224	1024.0	962.72	1063.645	17.34	28.56	77.47
837	poolformer_m36	224	1024.0	959.97	1066.674	8.8	22.02	56.17
838	resnet152	288	1024.0	955.06	1072.17	19.11	37.28	60.19
839	cait_s24_224	224	1024.0	951.69	1075.97	9.35	40.58	46.92
840	tiny_vit_21m_384	384	512.0	946.04	541.193	11.94	46.84	21.23
841	focalnet_base_lrf	224	1024.0	946.02	1082.418	15.43	38.13	88.75
842	dm_nfnet_f1	224	1024.0	943.8	1084.958	17.87	22.94	132.63
843	efficientnet_b3_gn	288	512.0	943.58	542.602	1.74	23.35	11.73
844	efficientnetv2_rw_m	320	1024.0	934.42	1095.856	12.72	47.14	53.24
845	vit_relpos_base_patch16_plus_240	240	1024.0	933.99	1096.357	26.21	23.41	117.38
846	gmlp_b16_224	224	1024.0	931.13	1099.724	15.78	30.21	73.08
847	fastvit_sa36	256	1024.0	928.53	1102.809	5.62	34.02	31.53
848	xception41	299	768.0	927.7	827.842	9.28	39.86	26.97
849	eva02_small_patch14_336	336	1024.0	926.94	1104.696	12.41	27.7	22.13
850	maxvit_rmlp_small_rw_224	224	768.0	923.72	831.408	10.48	42.44	64.9
851	sequencer2d_l	224	1024.0	917.56	1115.991	9.74	22.12	54.3
852	poolformerv2_s36	224	1024.0	914.51	1119.704	5.01	15.82	30.79
853	xcit_medium_24_p16_224	224	1024.0	901.57	1135.786	16.13	31.71	84.4
854	coat_mini	224	1024.0	900.78	1136.787	6.82	33.68	10.34
855	coat_lite_medium	224	1024.0	898.48	1139.693	9.81	40.06	44.57
856	swin_s3_small_224	224	768.0	882.63	870.118	9.43	37.84	49.74
857	efficientnet_b3_g8_gn	288	512.0	882.63	580.072	2.59	23.35	14.25
858	dpn131	224	1024.0	878.67	1165.389	16.09	32.97	79.25
859	levit_384_s8	224	512.0	874.93	585.181	9.98	35.86	39.12
860	efficientnet_b4	384	512.0	874.47	585.489	4.51	50.04	19.34
861	vit_medium_patch16_gap_384	384	1024.0	873.17	1172.722	22.01	32.15	39.03
862	nest_base	224	1024.0	871.22	1175.339	16.71	30.51	67.72
863	nf_regnet_b5	384	1024.0	867.94	1179.793	7.95	42.9	49.74
864	resnet200d	256	1024.0	866.43	1181.848	20.0	43.09	64.69
865	maxvit_small_tf_224	224	512.0	864.97	591.915	11.39	46.31	68.93
866	nest_base_jx	224	1024.0	863.51	1185.835	16.71	30.51	67.72
867	xcit_small_12_p16_384	384	1024.0	860.6	1189.852	14.14	36.5	26.25
868	resnetv2_50d_evos	288	1024.0	857.98	1193.488	7.15	19.7	25.59
869	swin_base_patch4_window7_224	224	1024.0	857.23	1194.527	15.47	36.63	87.77
870	gcvit_small	224	1024.0	850.2	1204.416	8.57	41.61	51.09
871	crossvit_15_dagger_408	408	1024.0	849.94	1204.779	16.07	37.0	28.5
872	eca_nfnet_l1	320	1024.0	845.79	1210.693	14.92	34.42	41.41
873	tf_efficientnet_b4	380	512.0	836.31	612.204	4.49	49.49	19.34
874	regnety_080	288	1024.0	834.08	1227.682	13.22	29.69	39.18
875	levit_conv_384_s8	224	512.0	831.47	615.767	9.98	35.86	39.12
876	twins_svt_large	224	1024.0	829.67	1234.208	14.84	27.23	99.27
877	seresnet152	288	1024.0	826.68	1238.676	19.11	37.34	66.82
878	xception65p	299	768.0	826.46	929.251	13.91	52.48	39.82
879	eva02_base_patch14_224	224	1024.0	822.18	1245.459	22.0	24.67	85.76
880	caformer_s36	224	1024.0	811.28	1262.182	7.55	29.29	39.3
881	maxxvit_rmlp_small_rw_256	256	768.0	805.75	953.134	14.21	47.76	66.01
882	coatnet_2_rw_224	224	512.0	802.77	637.783	14.55	39.37	73.87
883	swinv2_base_window12_192	192	1024.0	801.77	1277.157	11.9	39.72	109.28
884	mvitv2_base	224	1024.0	789.29	1297.348	10.16	40.5	51.47
885	densenet264d	224	1024.0	784.72	1304.914	13.57	14.0	72.74
886	resnest50d_4s2x40d	224	1024.0	782.94	1307.879	4.4	17.94	30.42
887	swinv2_tiny_window16_256	256	512.0	779.51	656.811	6.68	39.02	28.35
888	volo_d2_224	224	1024.0	778.59	1315.191	14.34	41.34	58.68
889	dpn107	224	1024.0	773.9	1323.149	18.38	33.46	86.92
890	xcit_tiny_24_p8_224	224	1024.0	770.47	1329.042	9.21	45.38	12.11
891	convnext_base	288	1024.0	769.28	1331.103	25.43	47.53	88.59
892	coatnet_rmlp_2_rw_224	224	512.0	762.93	671.09	14.64	44.94	73.88
893	mvitv2_base_cls	224	1024.0	760.58	1346.32	10.23	40.65	65.44
894	convit_base	224	1024.0	757.3	1352.149	17.52	31.77	86.54
895	convformer_s36	224	1024.0	757.3	1352.161	7.67	30.5	40.01
896	coatnet_2_224	224	384.0	753.79	509.418	15.94	42.41	74.68
897	hrnet_w64	224	1024.0	748.82	1367.478	28.97	35.09	128.06
898	resnet152d	320	1024.0	747.67	1369.57	24.08	47.67	60.21
899	ecaresnet200d	256	1024.0	744.16	1376.037	20.0	43.15	64.69
900	seresnet200d	256	1024.0	743.64	1376.992	20.01	43.15	71.86
901	resnetrs200	256	1024.0	743.56	1377.137	20.18	43.42	93.21
902	swinv2_small_window8_256	256	1024.0	740.78	1382.313	11.58	40.14	49.73
903	xception65	299	768.0	738.05	1040.572	13.96	52.48	39.92
904	fastvit_ma36	256	1024.0	734.46	1394.207	7.85	40.39	44.07
905	swinv2_cr_small_ns_256	256	1024.0	733.6	1395.843	12.07	76.21	49.7
906	senet154	224	1024.0	731.81	1399.262	20.77	38.69	115.09
907	maxvit_rmlp_small_rw_256	256	768.0	731.54	1049.835	13.69	55.48	64.9
908	legacy_senet154	224	1024.0	730.99	1400.828	20.77	38.69	115.09
909	tf_efficientnetv2_m	384	1024.0	728.54	1405.529	15.85	57.52	54.14
910	xcit_nano_12_p8_384	384	1024.0	723.54	1415.249	6.34	46.06	3.05
911	poolformer_m48	224	1024.0	722.45	1417.374	11.59	29.17	73.47
912	tnt_b_patch16_224	224	1024.0	722.04	1418.187	14.09	39.01	65.41
913	efficientvit_l3	224	1024.0	720.55	1421.127	27.62	39.16	246.04
914	swinv2_cr_base_224	224	1024.0	719.69	1422.825	15.86	59.66	87.88
915	efficientnet_b3_g8_gn	320	512.0	718.69	712.395	3.2	28.83	14.25
916	resnest101e	256	1024.0	718.12	1425.925	13.38	28.66	48.28
917	swin_s3_base_224	224	1024.0	717.57	1427.034	13.69	48.26	71.13
918	resnext101_64x4d	288	1024.0	717.4	1427.37	25.66	51.59	83.46
919	swinv2_cr_base_ns_224	224	1024.0	713.5	1435.162	15.86	59.66	87.88
920	convnextv2_base	224	768.0	711.23	1079.807	15.38	28.75	88.72
921	resnet200	288	1024.0	697.53	1468.023	24.91	53.21	64.67
922	efficientnet_b3_gn	320	512.0	695.5	736.148	2.14	28.83	11.73
923	coat_small	224	1024.0	694.03	1475.431	12.61	44.25	21.69
924	convnext_large	224	1024.0	690.43	1483.117	34.4	43.13	197.77
925	regnetz_e8	320	1024.0	670.8	1526.503	15.46	63.94	57.7
926	efficientformerv2_s2	224	1024.0	670.26	1527.748	1.27	11.77	12.71
927	seresnext101_32x8d	288	1024.0	656.14	1560.626	27.24	51.63	93.57
928	resnetrs152	320	1024.0	655.8	1561.431	24.34	48.14	86.62
929	xcit_small_12_p8_224	224	1024.0	655.5	1562.148	18.69	47.19	26.21
930	maxxvitv2_rmlp_base_rw_224	224	768.0	651.85	1178.173	23.88	54.39	116.09
931	seresnet152d	320	1024.0	649.85	1575.74	24.09	47.72	66.84
932	vit_large_patch32_384	384	1024.0	647.57	1581.281	44.28	32.22	306.63
933	poolformerv2_m36	224	1024.0	646.73	1583.338	8.81	22.02	56.08
934	resnext101_32x16d	224	1024.0	641.29	1596.767	36.27	51.18	194.03
935	seresnext101d_32x8d	288	1024.0	639.61	1600.97	27.64	52.95	93.59
936	regnetz_d8_evos	256	1024.0	638.02	1604.938	4.5	24.92	23.46
937	davit_large	224	1024.0	634.07	1614.963	34.37	55.08	196.81
938	efficientnetv2_m	416	1024.0	633.12	1617.367	18.6	67.5	54.14
939	regnety_064	224	1024.0	632.1	1619.968	6.39	16.41	30.58
940	regnetv_064	224	1024.0	629.87	1625.704	6.39	16.41	30.58
941	regnetz_c16_evos	320	512.0	622.61	822.333	3.86	25.88	13.49
942	gcvit_base	224	1024.0	620.94	1649.111	14.87	55.48	90.32
943	nf_regnet_b5	456	512.0	602.97	849.111	11.7	61.95	49.74
944	seresnextaa101d_32x8d	288	1024.0	601.98	1701.035	28.51	56.44	93.59
945	xception71	299	768.0	600.76	1278.366	18.09	69.92	42.34
946	eca_nfnet_l2	320	1024.0	593.89	1724.216	20.95	47.43	56.72
947	nfnet_f2	256	1024.0	593.31	1725.904	33.76	41.85	193.78
948	crossvit_18_dagger_408	408	1024.0	585.92	1747.666	25.31	49.38	44.61
949	hrnet_w48_ssld	288	1024.0	585.32	1749.444	28.66	47.21	77.47
950	ecaresnet200d	288	1024.0	584.36	1752.321	25.31	54.59	64.69
951	seresnet200d	288	1024.0	583.25	1755.672	25.32	54.6	71.86
952	caformer_m36	224	1024.0	582.88	1756.773	12.75	40.61	56.2
953	levit_512_s8	224	256.0	582.77	439.271	21.82	52.28	74.05
954	maxvit_rmlp_base_rw_224	224	768.0	582.44	1318.589	22.63	79.3	116.14
955	seresnet269d	256	1024.0	581.62	1760.578	26.59	53.6	113.67
956	convmixer_768_32	224	1024.0	580.09	1765.235	19.55	25.95	21.11
957	resnetrs270	256	1024.0	565.62	1810.398	27.06	55.84	129.86
958	mixer_l16_224	224	1024.0	553.36	1850.484	44.6	41.69	208.2
959	levit_conv_512_s8	224	256.0	552.47	463.363	21.82	52.28	74.05
960	efficientnetv2_rw_m	416	1024.0	552.47	1853.491	21.49	79.62	53.24
961	resnet200d	320	1024.0	551.74	1855.93	31.25	67.33	64.69
962	nfnet_f1	320	1024.0	548.82	1865.795	35.97	46.77	132.63
963	convformer_m36	224	1024.0	548.78	1865.947	12.89	42.05	57.05
964	volo_d3_224	224	1024.0	541.9	1889.619	20.78	60.09	86.33
965	swinv2_base_window8_256	256	1024.0	530.42	1930.519	20.37	52.59	87.92
966	maxvit_base_tf_224	224	512.0	517.72	988.937	23.52	81.67	119.47
967	xcit_large_24_p16_224	224	1024.0	511.16	2003.26	35.86	47.26	189.1
968	convmixer_1024_20_ks9_p14	224	1024.0	510.74	2004.929	5.55	5.51	24.38
969	dm_nfnet_f2	256	1024.0	503.11	2035.325	33.76	41.85	193.78
970	swin_large_patch4_window7_224	224	768.0	494.53	1552.967	34.53	54.94	196.53
971	vit_base_patch16_18x2_224	224	1024.0	494.1	2072.443	50.37	49.17	256.73
972	deit_base_patch16_384	384	1024.0	493.77	2073.808	49.4	48.3	86.86
973	vit_base_patch16_384	384	1024.0	493.5	2074.946	49.4	48.3	86.86
974	deit_base_distilled_patch16_384	384	1024.0	493.31	2075.754	49.49	48.39	87.63
975	vit_base_patch16_clip_384	384	1024.0	492.52	2079.081	49.41	48.3	86.86
976	eva_large_patch14_196	196	1024.0	491.4	2083.813	59.66	43.77	304.14
977	vit_base_patch16_siglip_384	384	1024.0	490.82	2086.272	50.0	49.11	93.18
978	vit_large_patch16_224	224	1024.0	489.19	2093.231	59.7	43.77	304.33
979	halonet_h1	256	256.0	487.96	524.621	3.0	51.17	8.1
980	tiny_vit_21m_512	512	256.0	487.73	524.868	21.23	83.26	21.27
981	seresnextaa101d_32x8d	320	768.0	487.6	1575.053	35.19	69.67	93.59
982	swinv2_large_window12_192	192	768.0	487.6	1575.036	26.17	56.53	228.77
983	swinv2_small_window16_256	256	512.0	487.58	1050.071	12.82	66.29	49.73
984	poolformerv2_m48	224	1024.0	487.33	2101.208	11.59	29.17	73.35
985	resnetrs200	320	1024.0	476.69	2148.152	31.51	67.81	93.21
986	xcit_tiny_12_p8_384	384	1024.0	472.87	2165.479	14.12	69.12	6.71
987	vit_small_patch14_dinov2	518	1024.0	470.72	2175.374	29.46	57.34	22.06
988	deit3_base_patch16_384	384	1024.0	469.96	2178.883	49.4	48.3	86.88
989	vit_small_patch14_reg4_dinov2	518	1024.0	469.28	2182.048	29.55	57.51	22.06
990	deit3_large_patch16_224	224	1024.0	468.18	2187.162	59.7	43.77	304.37
991	tf_efficientnetv2_m	480	1024.0	466.8	2193.627	24.76	89.84	54.14
992	dm_nfnet_f1	320	1024.0	463.74	2208.099	35.97	46.77	132.63
993	xcit_small_24_p16_384	384	1024.0	458.11	2235.247	26.72	68.57	47.67
994	seresnet269d	288	1024.0	457.25	2239.451	33.65	67.81	113.67
995	beit_large_patch16_224	224	1024.0	453.95	2255.726	59.7	43.77	304.43
996	beitv2_large_patch16_224	224	1024.0	453.79	2256.515	59.7	43.77	304.43
997	regnetx_120	224	1024.0	452.56	2262.648	12.13	21.37	46.11
998	efficientnet_b5	448	512.0	444.06	1152.996	9.59	93.56	30.39
999	regnety_120	224	1024.0	444.03	2306.127	12.14	21.38	51.82
1000	efficientformerv2_l	224	1024.0	441.81	2317.703	2.59	18.54	26.32
1001	coatnet_3_rw_224	224	384.0	441.21	870.327	32.63	59.07	181.81
1002	resnetv2_152x2_bit	224	1024.0	439.95	2327.532	46.95	45.11	236.34
1003	convnext_xlarge	224	768.0	438.91	1749.766	60.98	57.5	350.2
1004	coatnet_rmlp_3_rw_224	224	256.0	438.69	583.549	32.75	64.7	165.15
1005	coatnet_3_224	224	256.0	431.52	593.24	35.72	63.61	166.97
1006	convnextv2_base	288	512.0	430.66	1188.858	25.43	47.53	88.72
1007	flexivit_large	240	1024.0	427.93	2392.897	68.48	50.22	304.36
1008	convnextv2_large	224	512.0	424.61	1205.798	34.4	43.13	197.96
1009	swinv2_cr_large_224	224	768.0	424.12	1810.813	35.1	78.42	196.68
1010	swinv2_cr_tiny_384	384	256.0	420.98	608.099	15.34	161.01	28.33
1011	caformer_b36	224	768.0	420.2	1827.698	22.5	54.14	98.75
1012	maxvit_tiny_tf_384	384	256.0	419.78	609.84	16.0	94.22	30.98
1013	convnext_large	288	768.0	417.93	1837.619	56.87	71.29	197.77
1014	regnety_160	224	1024.0	417.09	2455.096	15.96	23.04	83.59
1015	eca_nfnet_l2	384	1024.0	412.81	2480.539	30.05	68.28	56.72
1016	maxxvitv2_rmlp_large_rw_224	224	768.0	411.22	1867.582	43.69	75.4	215.42
1017	efficientnetv2_l	384	1024.0	409.83	2498.611	36.1	101.16	118.52
1018	davit_huge	224	768.0	407.6	1884.205	60.93	73.44	348.92
1019	tf_efficientnetv2_l	384	1024.0	405.08	2527.906	36.1	101.16	118.52
1020	regnety_320	224	1024.0	403.27	2539.241	32.34	30.26	145.05
1021	regnetz_d8_evos	320	768.0	403.13	1905.094	7.03	38.92	23.46
1022	beit_base_patch16_384	384	1024.0	402.61	2543.386	49.4	48.3	86.74
1023	convformer_b36	224	768.0	397.77	1930.749	22.69	56.06	99.88
1024	tf_efficientnet_b5	456	384.0	394.74	972.77	10.46	98.86	30.39
1025	eca_nfnet_l3	352	1024.0	378.23	2707.314	32.57	73.12	72.04
1026	vit_large_patch16_siglip_256	256	1024.0	375.52	2726.866	78.12	57.42	315.96
1027	ecaresnet269d	320	1024.0	372.48	2749.133	41.53	83.69	102.09
1028	vit_large_r50_s32_384	384	1024.0	369.32	2772.633	56.4	64.88	329.09
1029	maxvit_large_tf_224	224	384.0	359.98	1066.726	42.99	109.57	211.79
1030	vit_large_patch14_224	224	1024.0	359.62	2847.449	77.83	57.11	304.2
1031	vit_large_patch14_clip_224	224	1024.0	359.62	2847.409	77.83	57.11	304.2
1032	swinv2_base_window16_256	256	384.0	359.2	1069.042	22.02	84.71	87.92
1033	swinv2_base_window12to16_192to256	256	384.0	359.01	1069.609	22.02	84.71	87.92
1034	nasnetalarge	331	384.0	356.97	1075.708	23.89	90.56	88.75
1035	resnetrs350	288	1024.0	356.46	2872.642	43.67	87.09	163.96
1036	vit_base_patch8_224	224	1024.0	351.76	2911.045	66.87	65.71	86.58
1037	volo_d4_224	224	1024.0	343.2	2983.708	44.34	80.22	192.96
1038	xcit_small_24_p8_224	224	1024.0	342.74	2987.714	35.81	90.77	47.63
1039	volo_d1_384	384	512.0	340.3	1504.541	22.75	108.55	26.78
1040	convnext_large_mlp	320	512.0	338.23	1513.736	70.21	88.02	200.13
1041	repvgg_d2se	320	1024.0	335.87	3048.766	74.57	46.82	133.33
1042	vit_large_patch14_clip_quickgelu_224	224	1024.0	324.37	3156.896	77.83	57.11	303.97
1043	vit_base_r50_s16_384	384	1024.0	315.28	3247.919	61.29	81.77	98.95
1044	nfnet_f2	352	1024.0	313.79	3263.314	63.22	79.06	193.78
1045	xcit_medium_24_p16_384	384	1024.0	313.38	3267.626	47.39	91.63	84.4
1046	vit_large_patch14_xp_224	224	1024.0	311.53	3287.018	77.77	57.11	304.06
1047	ecaresnet269d	352	1024.0	307.84	3326.422	50.25	101.25	102.09
1048	coat_lite_medium_384	384	512.0	301.48	1698.273	28.73	116.7	44.57
1049	regnety_064	288	1024.0	298.91	3425.709	10.56	27.11	30.58
1050	resnetrs270	352	1024.0	298.81	3426.892	51.13	105.48	129.86
1051	regnetv_064	288	1024.0	298.12	3434.809	10.55	27.11	30.58
1052	resnext101_32x32d	224	512.0	296.06	1729.362	87.29	91.12	468.53
1053	nfnet_f3	320	1024.0	290.3	3527.352	68.77	83.93	254.92
1054	efficientnetv2_xl	384	1024.0	290.02	3530.821	52.81	139.2	208.12
1055	tf_efficientnetv2_xl	384	1024.0	287.47	3562.138	52.81	139.2	208.12
1056	cait_xxs24_384	384	1024.0	284.02	3605.396	9.63	122.65	12.03
1057	maxvit_small_tf_384	384	192.0	274.58	699.228	33.58	139.86	69.02
1058	coatnet_4_224	224	256.0	274.31	933.246	60.81	98.85	275.43
1059	convnext_xlarge	288	512.0	265.38	1929.279	100.8	95.05	350.2
1060	dm_nfnet_f2	352	1024.0	265.36	3858.944	63.22	79.06	193.78
1061	vit_base_patch16_siglip_512	512	512.0	263.16	1945.545	88.89	87.3	93.52
1062	vit_so400m_patch14_siglip_224	224	1024.0	262.63	3898.968	106.18	70.45	427.68
1063	efficientnetv2_l	480	512.0	261.08	1961.059	56.4	157.99	118.52
1064	swinv2_cr_small_384	384	256.0	258.97	988.525	29.7	298.03	49.7
1065	convnextv2_large	288	384.0	257.89	1488.981	56.87	71.29	197.96
1066	tf_efficientnetv2_l	480	512.0	257.78	1986.206	56.4	157.99	118.52
1067	eva02_large_patch14_224	224	1024.0	256.9	3985.935	77.9	65.52	303.27
1068	eva02_large_patch14_clip_224	224	1024.0	253.93	4032.531	77.93	65.52	304.11
1069	regnety_120	288	768.0	253.81	3025.924	20.06	35.34	51.82
1070	xcit_tiny_24_p8_384	384	1024.0	248.2	4125.63	27.05	132.94	12.11
1071	coatnet_rmlp_2_rw_384	384	192.0	247.61	775.41	43.04	132.57	73.88
1072	dm_nfnet_f3	320	1024.0	247.07	4144.617	68.77	83.93	254.92
1073	resnetrs420	320	1024.0	244.54	4187.355	64.2	126.56	191.89
1074	mvitv2_large	224	512.0	243.6	2101.832	43.87	112.02	217.99
1075	mvitv2_large_cls	224	512.0	241.75	2117.866	42.17	111.69	234.58
1076	resmlp_big_24_224	224	1024.0	241.59	4238.519	100.23	87.31	129.14
1077	regnety_160	288	768.0	237.71	3230.76	26.37	38.07	83.59
1078	xcit_medium_24_p8_224	224	768.0	234.01	3281.941	63.52	121.22	84.32
1079	eca_nfnet_l3	448	512.0	233.43	2193.322	52.55	118.4	72.04
1080	volo_d5_224	224	1024.0	228.8	4475.542	72.4	118.11	295.46
1081	swin_base_patch4_window12_384	384	256.0	227.46	1125.454	47.19	134.78	87.9
1082	xcit_small_12_p8_384	384	384.0	223.23	1720.206	54.92	138.25	26.21
1083	swinv2_large_window12to16_192to256	256	256.0	219.08	1168.537	47.81	121.53	196.74
1084	maxxvitv2_rmlp_base_rw_384	384	384.0	217.17	1768.16	70.18	160.22	116.09
1085	efficientnet_b6	528	256.0	205.22	1247.45	19.4	167.39	43.04
1086	regnetx_320	224	768.0	200.5	3830.333	31.81	36.3	107.81
1087	resnetrs350	384	1024.0	199.92	5122.143	77.59	154.74	163.96
1088	cait_xs24_384	384	768.0	198.76	3863.971	19.28	183.98	26.67
1089	maxvit_xlarge_tf_224	224	256.0	198.54	1289.412	96.49	164.37	506.99
1090	tf_efficientnet_b6	528	192.0	198.54	967.028	19.4	167.39	43.04
1091	focalnet_huge_fl3	224	512.0	191.39	2675.182	118.26	104.8	745.28
1092	volo_d2_384	384	384.0	190.85	2012.066	46.17	184.51	58.87
1093	cait_xxs36_384	384	1024.0	189.78	5395.721	14.35	183.7	17.37
1094	eva02_base_patch14_448	448	512.0	189.58	2700.759	87.74	98.4	87.12
1095	vit_huge_patch14_gap_224	224	1024.0	186.27	5497.294	161.36	94.7	630.76
1096	swinv2_cr_base_384	384	256.0	185.05	1383.395	50.57	333.68	87.88
1097	swinv2_cr_huge_224	224	384.0	182.04	2109.357	115.97	121.08	657.83
1098	maxvit_rmlp_base_rw_384	384	384.0	179.65	2137.52	66.51	233.79	116.14
1099	vit_huge_patch14_224	224	1024.0	179.6	5701.574	161.99	95.07	630.76
1100	vit_huge_patch14_clip_224	224	1024.0	179.43	5706.842	161.99	95.07	632.05
1101	xcit_large_24_p16_384	384	1024.0	177.48	5769.692	105.34	137.15	189.1
1102	vit_base_patch14_dinov2	518	512.0	176.68	2897.828	117.11	114.68	86.58
1103	vit_base_patch14_reg4_dinov2	518	512.0	175.98	2909.337	117.45	115.02	86.58
1104	deit3_huge_patch14_224	224	1024.0	173.53	5900.889	161.99	95.07	632.13
1105	nfnet_f3	416	768.0	171.77	4471.127	115.58	141.78	254.92
1106	maxvit_tiny_tf_512	512	128.0	170.91	748.92	28.66	172.66	31.05
1107	seresnextaa201d_32x8d	384	512.0	170.35	3005.583	101.11	199.72	149.39
1108	maxvit_base_tf_384	384	192.0	166.63	1152.259	69.34	247.75	119.65
1109	vit_huge_patch14_clip_quickgelu_224	224	1024.0	165.5	6187.275	161.99	95.07	632.08
1110	efficientnetv2_xl	512	512.0	163.45	3132.529	93.85	247.32	208.12
1111	nfnet_f4	384	768.0	163.26	4704.17	122.14	147.57	316.07
1112	tf_efficientnetv2_xl	512	512.0	161.63	3167.699	93.85	247.32	208.12
1113	vit_huge_patch14_xp_224	224	1024.0	159.72	6411.21	161.88	95.07	631.8
1114	eva_large_patch14_336	336	768.0	155.72	4931.845	174.74	128.21	304.53
1115	vit_large_patch14_clip_336	336	768.0	155.28	4945.947	174.74	128.21	304.53
1116	vit_large_patch16_384	384	768.0	155.12	4950.906	174.85	128.21	304.72
1117	vit_large_patch16_siglip_384	384	768.0	154.94	4956.619	175.76	129.18	316.28
1118	convnext_xxlarge	256	384.0	153.59	2500.071	198.09	124.45	846.47
1119	vit_giant_patch16_gap_224	224	1024.0	153.47	6672.363	198.14	103.64	1011.37
1120	cait_s24_384	384	512.0	153.12	3343.821	32.17	245.3	47.06
1121	davit_giant	224	384.0	152.05	2525.491	192.34	138.2	1406.47
1122	deit3_large_patch16_384	384	1024.0	148.73	6884.872	174.85	128.21	304.76
1123	coatnet_5_224	224	192.0	147.83	1298.762	142.72	143.69	687.47
1124	dm_nfnet_f3	416	512.0	146.0	3506.787	115.58	141.78	254.92
1125	resnetrs420	416	768.0	144.59	5311.727	108.45	213.79	191.89
1126	vit_large_patch14_clip_quickgelu_336	336	768.0	141.12	5441.998	174.74	128.21	304.29
1127	dm_nfnet_f4	384	768.0	139.13	5519.969	122.14	147.57	316.07
1128	swin_large_patch4_window12_384	384	128.0	135.95	941.498	104.08	202.16	196.74
1129	xcit_large_24_p8_224	224	512.0	131.73	3886.696	141.22	181.53	188.93
1130	beit_large_patch16_384	384	768.0	129.79	5917.023	174.84	128.21	305.0
1131	efficientnet_b7	600	192.0	128.05	1499.407	38.33	289.94	66.35
1132	tf_efficientnet_b7	600	192.0	124.56	1541.433	38.33	289.94	66.35
1133	focalnet_huge_fl4	224	512.0	123.26	4153.862	118.9	113.34	686.46
1134	eva_giant_patch14_clip_224	224	1024.0	116.99	8753.07	259.74	135.89	1012.59
1135	eva_giant_patch14_224	224	1024.0	116.91	8758.747	259.74	135.89	1012.56
1136	nfnet_f5	416	768.0	116.91	6569.029	170.71	204.56	377.21
1137	xcit_small_24_p8_384	384	384.0	116.73	3289.571	105.23	265.87	47.63
1138	maxvit_large_tf_384	384	128.0	116.56	1098.144	126.61	332.3	212.03
1139	vit_giant_patch14_224	224	1024.0	114.32	8957.604	259.74	135.89	1012.61
1140	vit_giant_patch14_clip_224	224	1024.0	114.12	8973.257	259.74	135.89	1012.65
1141	swinv2_cr_large_384	384	192.0	113.51	1691.47	108.96	404.96	196.68
1142	eva02_large_patch14_clip_336	336	768.0	110.42	6955.361	174.97	147.1	304.43
1143	mvitv2_huge_cls	224	384.0	105.54	3638.368	120.67	243.63	694.8
1144	maxvit_small_tf_512	512	96.0	104.89	915.238	60.02	256.36	69.13
1145	cait_s36_384	384	512.0	102.28	5005.663	47.99	367.39	68.37
1146	dm_nfnet_f5	416	512.0	99.59	5141.209	170.71	204.56	377.21
1147	swinv2_base_window12to24_192to384	384	96.0	96.5	994.841	55.25	280.36	87.92
1148	focalnet_large_fl3	384	256.0	93.78	2729.925	105.06	168.04	239.13
1149	nfnet_f4	512	512.0	91.69	5583.92	216.26	262.26	316.07
1150	focalnet_large_fl4	384	256.0	90.64	2824.324	105.2	181.78	239.32
1151	nfnet_f6	448	512.0	86.88	5893.345	229.7	273.62	438.36
1152	efficientnet_b8	672	128.0	85.75	1492.768	63.48	442.89	87.41
1153	tf_efficientnet_b8	672	128.0	83.71	1529.068	63.48	442.89	87.41
1154	volo_d3_448	448	128.0	81.1	1578.235	96.33	446.83	86.63
1155	vit_so400m_patch14_siglip_384	384	512.0	80.75	6340.618	302.34	200.62	428.23
1156	xcit_medium_24_p8_384	384	256.0	80.25	3189.919	186.67	354.69	84.32
1157	dm_nfnet_f4	512	384.0	78.23	4908.575	216.26	262.26	316.07
1158	vit_huge_patch14_clip_336	336	512.0	75.44	6786.84	363.7	213.44	632.46
1159	dm_nfnet_f6	448	512.0	74.17	6903.248	229.7	273.62	438.36
1160	maxvit_base_tf_512	512	96.0	72.37	1326.47	123.93	456.26	119.88
1161	nfnet_f5	544	384.0	68.39	5614.643	290.97	349.71	377.21
1162	nfnet_f7	480	512.0	66.61	7686.561	300.08	355.86	499.5
1163	vit_gigantic_patch14_224	224	512.0	66.24	7729.406	473.4	204.12	1844.44
1164	vit_gigantic_patch14_clip_224	224	512.0	66.15	7739.524	473.41	204.12	1844.91
1165	focalnet_xlarge_fl3	384	192.0	65.92	2912.463	185.61	223.99	408.79
1166	maxvit_xlarge_tf_384	384	96.0	64.9	1479.208	283.86	498.45	475.32
1167	focalnet_xlarge_fl4	384	192.0	63.63	3017.361	185.79	242.31	409.03
1168	beit_large_patch16_512	512	256.0	61.48	4163.85	310.6	227.76	305.67
1169	volo_d4_448	448	192.0	60.99	3147.895	197.13	527.35	193.41
1170	regnety_640	384	192.0	60.97	3149.012	188.47	124.83	281.38
1171	convnextv2_huge	384	96.0	60.92	1575.922	337.96	232.35	660.29
1172	swinv2_large_window12to24_192to384	384	48.0	60.75	790.151	116.15	407.83	196.74
1173	eva02_large_patch14_448	448	512.0	59.67	8581.221	310.69	261.32	305.08
1174	dm_nfnet_f5	544	384.0	58.35	6580.773	290.97	349.71	377.21
1175	vit_huge_patch14_clip_378	378	512.0	58.14	8806.389	460.13	270.04	632.68
1176	convmixer_1536_20	224	1024.0	56.99	17967.01	48.68	33.03	51.63
1177	vit_large_patch14_dinov2	518	384.0	56.83	6757.154	414.89	304.42	304.37
1178	vit_large_patch14_reg4_dinov2	518	384.0	56.64	6779.944	416.1	305.31	304.37
1179	maxvit_large_tf_512	512	64.0	54.68	1170.494	225.96	611.85	212.33
1180	tf_efficientnet_l2	475	96.0	54.05	1776.14	172.11	609.89	480.31
1181	vit_huge_patch14_clip_quickgelu_378	378	384.0	53.95	7117.573	460.13	270.04	632.68
1182	vit_huge_patch16_gap_448	448	512.0	52.86	9685.108	494.35	290.02	631.67
1183	nfnet_f6	576	384.0	52.55	7307.184	378.69	452.2	438.36
1184	swinv2_cr_giant_224	224	192.0	52.45	3660.551	483.85	309.15	2598.76
1185	eva_giant_patch14_336	336	512.0	49.65	10312.606	583.14	305.1	1013.01
1186	swinv2_cr_huge_384	384	96.0	49.62	1934.539	352.04	583.18	657.94
1187	xcit_large_24_p8_384	384	192.0	45.19	4249.177	415.0	531.74	188.93
1188	dm_nfnet_f6	576	256.0	44.83	5710.109	378.69	452.2	438.36
1189	volo_d5_448	448	192.0	42.49	4518.905	315.06	737.92	295.91
1190	nfnet_f7	608	256.0	41.52	6165.283	480.39	570.85	499.5
1191	cait_m36_384	384	256.0	33.1	7733.448	173.11	734.79	271.22
1192	resnetv2_152x4_bit	480	96.0	32.12	2989.13	844.84	414.26	936.53
1193	maxvit_xlarge_tf_512	512	48.0	30.41	1578.222	505.95	917.77	475.77
1194	regnety_2560	384	128.0	30.25	4231.43	747.83	296.49	1282.6
1195	volo_d5_512	512	128.0	29.54	4332.489	425.09	1105.37	296.09
1196	samvit_base_patch16	1024	16.0	23.81	671.88	371.55	403.08	89.67
1197	regnety_1280	384	128.0	22.93	5583.053	374.99	210.2	644.81
1198	efficientnet_l2	800	48.0	19.03	2521.932	479.12	1707.39	480.31
1199	vit_giant_patch14_dinov2	518	192.0	17.15	11193.542	1553.56	871.89	1136.48
1200	vit_giant_patch14_reg4_dinov2	518	192.0	17.12	11212.072	1558.09	874.43	1136.48
1201	swinv2_cr_giant_384	384	32.0	15.04	2127.877	1450.71	1394.86	2598.76
1202	eva_giant_patch14_560	560	192.0	15.03	12771.913	1618.04	846.56	1014.45
1203	cait_m48_448	448	128.0	13.96	9172.063	329.4	1708.21	356.46
1204	samvit_large_patch16	1024	12.0	10.64	1127.934	1317.08	1055.58	308.28
1205	samvit_huge_patch16	1024	8.0	6.61	1210.638	2741.59	1727.57	637.03