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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_DeValois1982-peak_sf")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet-18-LC_w_sh_100_iter_m	.964
2	resnet50_imagenet_10_seed-0	.950
3	alexnet_training_seed_01	.943
4	resnet-18-LC_m	.941
5	resnet50_linf_4_robust	.935
6	alexnet_training_seed_08	.933
7	AlexNet_SIN_fov12	.933
8	mobilenet_v2_1_0_192	.925
9	vonegrcnn_62e_nobn	.925
10	resnet50_linf_8_robust	.923
11	vonegrcnn_52e_full	.917
12	alexnet_training_seed_01_fov12	.917
13	alexnet_reduced_aliasing_early_checkpoint	.911
14	vonegrcnn_47e	.908
15	vgg-19-keras	.901
16	resnet50_l2_3_robust	.897
17	resnet50_robust_l2_eps1	.895
18	resnet-18-LC_w_sh_100_iter_conv_init_m	.893
19	ReAlnet01_cornet_fov16	.891
20	alexnet_training_seed_10	.888
21	yudixie_wbh_object_class_scaling_0415_run_1	.886
22	resnet-18-LC_w_sh_1_iter_conv_init_m	.885
23	pnasnet_large_halfPrecision	.882
24	alexnet_fov12	.878
25	resnet50_robust_l2_eps3	.876
26	gabor_filter_entropy_4x4_v2	.874
27	alexnet_training_seed_06	.873
28	voneresnet-50-non_stochastic	.872
29	BiT-S-R152x2	.872
30	yudixie_wbh_object_class_scaling_0415_run_3	.871
31	nasnet_large-tf	.868
32	RN50	.865
33	xception	.862
34	inception_v1	.862
35	mobilenet_v2_1.0_96	.861
36	mobilenet_v2_0_75_160	.860
37	mobilenet_v2_0.75_160-tf	.859
38	vgg-16-keras	.857
39	alexnet_training_seed_04	.857
40	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.858
41	0.5x_resnet-18_LC_w_sh_100_iter	.855
42	densenet-201-keras	.854
43	artResNet18_1	.853
44	AlexNet_SIN	.852
45	resnet-50-robust	.852
46	effnetb1_272x240	.851
47	yudixie_wbh_object_class_scaling_0415_run_2	.850
48	grcnn	.850
49	voneresnet-50	.847
50	resnet-50_untrained	.844
51	yudixie_wbh_object_class_scaling_0415_run_0	.844
52	mobilenet_v2_1_0_224	.843
53	AlexNet_SIN_fov16	.842
54	mehrer2020_alexnet_training_seed_01_fov16	.840
55	grcnn_109	.837
56	deepeisnn_ei_imagenet_resnet18	.836
57	voneresnet-50-robust	.835
58	resnet50-moclr8deg	.835
59	VOneCORnet-S	.834
60	mobilenet_v2_0.75_96	.832
61	effnetv2m_custom384	.831
62	resnet-18-LC_d_w_sh_1x1_conv_init_m	.830
63	imagenet_l2_3_0	.829
64	omnivore_swinB	.829
65	resnet50_byol	.828
66	alexnet_training_seed_07	.826
67	inception_v4-tf	.825
68	pnasnet_large-tf	.822
69	cvt_cvt-13-384-in1k_4_LucyV4	.818
70	alexnet_training_seed_09	.817
71	convnext_tiny_imagenet_full_seed-0	.816
72	mobilenet_v2_0.75_224-tf	.815
73	densenet-201	.814
74	mobilenet_v2_0.5_224-tf	.812
75	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.812
76	densenet-169	.812
77	resnet-18-LC_w_sh_10_iter_m	.811
78	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.811
79	mobilenet_v2_0_5_224	.810
80	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.808
81	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.805
82	resnet_50_v1	.805
83	resnet-18-LC_w_sh_10_iter_conv_init_m	.804
84	mehrer2020_alexnet_training_seed_01_fov12	.804
85	resnet_50_v1_spiking_l4	.803
86	yudixie_resnet50_imagenet1kpret_0_240908	.804
87	resnet_50_v1_spiking_l3	.803
88	resnet_50_v1_spiking	.803
89	resnet50_simclr	.802
90	alexnet	.803
91	resnet50_tutorial	.803
92	resnet_50_v1_spiking_l4a	.803
93	resnet50-sup	.803
94	nasnet_mobile	.801
95	SWSL_resnext101_32x8d	.801
96	omnivore_swinT	.799
97	resnet50_moco_v2	.797
98	efficientnet_b0_imagenet_full	.798
99	densenet-169-keras	.796
100	resnet-18_untrained	.795
101	resnet-18-LC_conv_init_m	.795
102	omnivore_swinS	.794
103	alexnet_fov16	.793
104	focalnet_tiny_lrf_in1k	.793
105	convnext_large_clip_laion2b_finelayers	.793
106	grcnn_robust_v1	.792
107	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.791
108	konkle_alexnetgn_ipcl_ref01_primary_model	.790
109	resnet-50x2_untrained	.790
110	alexnet_training_seed_02	.788
111	vgg_16	.787
112	resnet50_FractalDB	.787
113	blt_vs	.787
114	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.783
115	resnet-152_v1-tf	.783
116	yudixie_resnet18_imagenet1kpret_0_240719	.783
117	mobilenet_v2_0_75_192	.782
118	imagenet_l2_10_0	.782
119	yudixie_wbh_object_class_scaling_0415_imagenet	.782
120	resnet50-SIN	.782
121	resnet-101_v2-tf	.779
122	convnext_large_imagenet_full_seed-0	.778
123	yudixie_resnet18_object_class_0_240719	.777
124	cvt_cvt-13-224-in1k_4_LucyV4	.776
125	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.774
126	resnet50-VITO-8deg-cc	.773
127	r3m_resnet18	.773
128	BiT-M-R101x3	.772
129	gabor_filter_entropy_4x4_v2_forcedCosine	.771
130	resnet50-barlow	.771
131	nasnet_mobile-tf	.770
132	resnet50-vicreg	.769
133	convnext_small_imagenet_1_seed-0	.769
134	BiT-M-R101x1	.769
135	alexnet_training_seed_03	.768
136	0.5x_resnet-18_LC_w_sh_10_iter	.768
137	seresnext50_32x4d	.766
138	BiT-S-R50x3	.766
139	resnet50_random_l2_perturb	.764
140	resnet50	.764
141	alexnet_random_linf8_perturb	.764
142	vggface	.763
143	resnext101_32x16d_wsl	.763
144	SWSL_resnet50	.762
145	resnet50-SIN_IN_IN	.759
146	resnet50_hvs_wzc	.759
147	0.5x_resnet-18_LC	.756
148	mobilenet_v2_0_75_224	.756
149	CLIP_resnet50	.755
150	CLIP_resnet50_float32	.754
151	resnet50-vicregl0p75	.755
152	my-model	.755
153	resnet-101_v1-tf	.752
154	convnext_tiny:in12k_ft_in1k	.752
155	AdvProp_efficientnet-b7	.749
156	convnext_large_in22k_supervised	.749
157	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.749
158	alexnet_training_seed_01_fov4	.748
159	mobilenet_v2_1_0_160	.747
160	densenet-121	.745
161	convnext_femto_ols:d1_in1k	.743
162	convnext_large:fb_in22k_ft_in1k	.742
163	BiT-M-R152x2	.742
164	alexnet_training_seed_05	.741
165	convnext_small_imagenet_10_seed-0	.741
166	BiT-S-R101x1	.741
167	resnet-50_v2-tf	.740
168	yudixie_resnet18_distance_reg_0_240719	.740
169	mobilenet_v2_1.3_224-tf	.740
170	resnet-152_v2-tf	.737
171	texture_shape_resnet50_trained_on_SIN	.737
172	resnet-152_v2_pytorch	.733
173	AdvProp_efficientnet-b2	.732
174	resnet50_random_linf8_perturb	.732
175	convnext_tiny_sup	.731
176	AT_efficientnet-b2	.731
177	convnext_small_imagenet_full_seed-0	.729
178	vonealexnet_gaussian_noise_std4_fixed	.728
179	resnext101_32x48d_wsl	.728
180	yudixie_resnet50_random_0_240908	.727
181	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.726
182	convnext_base_fb_in22k_ft_in1k	.726
183	cv_18_dagger_408_pretrained	.725
184	compact_vgg19_V4	.726
185	mobilenet_v2_0_5_192	.724
186	resnet_SIN_IN_FT_IN	.725
187	resnet18_fair	.722
188	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.723
189	BiT-M-R50x1	.722
190	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.721
191	shufflenet_v2_x1_0	.721
192	gabor_filter_mean_abs_4x4_v2	.721
193	inception_v3-tf	.720
194	mobilenet_v2_1_4_224	.719
195	mobilenet_v2_0.75_192-tf	.719
196	compact_resnet50_IT	.717
197	deit_base_imagenet_full_seed-0	.717
198	0.5x_resnet-18_LC_w_sh_1_iter	.716
199	inception_resnet_v2	.714
200	densenet-121-keras	.712
201	yudixie_resnet50_translation_rotation_0_240908	.710
202	mobilenet_v2_1_3_224	.708
203	BiT-S-R101x3	.708
204	AdvProp_efficientnet-b4	.707
205	deit_small_imagenet_100_seed-0	.706
206	resnet-50_v1-tf	.706
207	convnext_xlarge:fb_in22k_ft_in1k	.703
208	CLIP-RN50	.703
209	antialiased-rnext101_32x8d	.703
210	compact_resnet50_robust_V4	.702
211	yudixie_resnet50_rotation_reg_0_240908	.701
212	CORnetZ_CIFAR10_bs32_20_04	.702
213	deit3_base_patch16_224_fb_in22k_ft_in1k	.701
214	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.701
215	alexnet_early_checkpoint	.700
216	BiT-S-R152x4	.698
217	BiT-S-R50x1	.698
218	ReAlnet01_cornet_fov12	.696
219	resnet50_vicreg_linhead	.696
220	r3m_resnet50_nocrop	.695
221	CORnetZ_CIFAR10	.694
222	inception_v2-tf	.695
223	yudixie_resnet50_object_class_0_240908	.692
224	resnet-18-LC_w_sh_1_iter_m	.692
225	yudixie_resnet50_category_class_0_240908	.691
226	grcnn_v2_text_noise	.691
227	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.690
228	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.690
229	BiT-M-R50x3	.690
230	mehrer2020_alexnet_training_seed_06	.688
231	compact_cornets_V4	.688
232	custom_model_cv_18_dagger_408	.687
233	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.687
234	yudixie_resnet50_distance_rotation_0_240908	.686
235	compact_cornets_IT	.687
236	efficientnet_b2_imagenet_full	.686
237	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.686
238	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.686
239	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.686
240	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.686
241	AdvProp_efficientnet-b8	.685
242	yudixie_resnet18_random_0_240719	.684
243	eva02_large_in22k	.685
244	mobilenet_v2_0.5_192-tf	.681
245	vit_relpos_base_patch16_clsgap_224:sw_in1k	.681
246	yudixie_resnet50_distance_translation_0_240908	.680
247	mehrer2020_alexnet_training_seed_03	.678
248	mehrer2020_alexnet_training_seed_10	.677
249	mobilenet_v1_0.25_128	.677
250	alexnet_l2_3_robust	.676
251	mobilenet_v2_0.75_128	.675
252	mobilenet_v2_1.0_192-tf	.675
253	eBarlow_lmda_02_1000ep	.674
254	BiT-M-R152x4	.673
255	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.671
256	resnet50_ewconplus_wzc	.671
257	ViT_L_32_imagenet1k	.671
258	r3m_resnet50	.670
259	yudixie_resnet50_distance_reg_0_240908	.669
260	antialias-resnet152	.665
261	resnet50_st_wzc_2	.659
262	regnety_032	.658
263	cvt_cvt-21-224-in1k_4_LucyV4	.655
264	yudixie_resnet50_distance_translation_rotation_0_240908	.653
265	vit_large_patch14_clip_224:openai_ft_in1k	.652
266	resnet50_simsiam_linhead	.651
267	antialiased-r50	.651
268	vit_huge_clip336_laion	.651
269	yudixie_resnet18_distance_translation_0_240719	.650
270	yudixie_resnet18_category_class_0_240719	.650
271	mehrer2020_alexnet_training_seed_08	.651
272	FrankRobWobv0	.647
273	mehrer2020_alexnet_training_seed_05	.645
274	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.643
275	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.641
276	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.640
277	mehrer2020_alexnet_training_seed_07	.640
278	convnext_small_imagenet_100_seed-0	.638
279	deit_large_imagenet_full_seed-0	.638
280	alexnet_training_seed_01_fov16	.638
281	resnet50-vicregl0p9	.636
282	efficientnet_b1_imagenet_full	.635
283	yudixie_resnet18_translation_rotation_0_240719	.635
284	cvt_cvt-21-384-in1k_4_LucyV4	.635
285	vit_base_patch16_clip_224:openai_ft_in1k	.634
286	resnet_101_v1	.628
287	AdvProp_efficientnet-b0	.627
288	resnet50-SIN_IN	.626
289	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.625
290	resnet50_simclr_linhead_01norm	.625
291	resnet50_primary_visual_cortex	.623
292	vgg_19	.622
293	r3m_resnet34	.620
294	mobilenet_v2_1.4_224-tf	.620
295	convnext_base_imagenet_full_seed-0	.619
296	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.615
297	compact_resnet50_V4	.614
298	compact_resnet50_robust_IT	.612
299	yolos_tiny	.608
300	mehrer2020_alexnet_training_seed_02	.607
301	resnet50_st_wzc_seed7_2_323	.607
302	mobilenet_v2_1_0_128	.605
303	Res2Net50_26w_4s	.605
304	yudixie_resnet50_translation_reg_0_240908	.602
305	inception_v3	.601
306	ijepa_vith14_linhead	.598
307	barlow-twins-resnet50	.597
308	mobilenet_v2_0.35_224	.595
309	mobilenet_v2_1.0_128-tf	.593
310	mobilenet_v2_1.0_224-tf	.592
311	mobilenet_v2_1.0_160-tf	.592
312	compact_vgg19_IT	.592
313	resnet50_ewconplus_wzc_seed6_2_323	.591
314	resnet50_st_wzc_seed3_2_323	.591
315	yudixie_resnet18_translation_reg_0_240719	.586
316	yudixie_resnet18_distance_translation_rotation_0_240719	.583
317	resnet50_st_wzc_seed6_2_323	.583
318	resnet-18-LC_untrained	.580
319	CORnet-Z	.579
320	mehrer2020_alexnet_training_seed_01	.579
321	alexnet_robust_correct	.579
322	resnet-18-LC_1st_conv_m	.576
323	convnext_base_fb_in1k	.575
324	resnext101_32x32d_wsl	.572
325	CORnet-S	.570
326	ReAlnet07_ALL	.569
327	mobilenet_v2_1-4_224_pytorch	.567
328	AdvProp_efficientnet-b6	.564
329	ReAlnet10_ALL	.563
330	resnet50_byol_linhead	.561
331	briaai_rmbg_1_4	.560
332	ReAlnet02_ALL	.560
333	resnet101	.558
334	yudixie_resnet18_rotation_reg_0_240719	.557
335	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.553
336	resnet18_imagenet21kP	.554
337	resnet50_imagenet_1_seed-0	.553
338	yudixie_resnet18_distance_rotation_0_240719	.552
339	mobilenet_v2_0.5_128	.550
340	vision_transformer_vit_large_patch16_224	.549
341	ReAlnet03_ALL	.548
342	ReAlnet06_ALL	.548
343	ReAlnet08_ALL	.547
344	convnext_base_fb_in1k_gram_aligned_dinov3	.547
345	ReAlnet05_ALL	.546
346	ReAlnet09_ALL	.546
347	ReAlnet01_ALL	.546
348	resnet50_ewconplus_wzc_seed5_2__323	.545
349	ReAlnet07	.544
350	resnext101_32x8d_wsl	.543
351	ReAlnet07_cornet	.543
352	ReAlnet04_ALL	.543
353	ReAlnet08	.541
354	ReAlnet08_cornet	.541
355	resnet50_ewconplus_wzc_seed2_2__323	.540
356	mobilenet_v2_0.5_160	.539
357	efficientnet-b7	.537
358	resnet50_pretrained_with_retinal_waves	.534
359	convnext_base:clip_laiona_augreg_ft_in1k_384	.529
360	ViT-B/32	.529
361	0.5x_resnet-18	.528
362	ReAlnet01_cornet	.527
363	ReAlnet01	.528
364	ReAlnet04	.525
365	resnet50_barlowtwins_linhead	.525
366	ReAlnet04_cornet	.524
367	vit_large_patch14_clip_336:laion2b_ft_in1k	.524
368	ReAlnet09_cornet	.522
369	ReAlnet10_cornet	.522
370	ReAlnet09	.520
371	efficientnet_b0	.521
372	ReAlnet10	.521
373	resnet-18_test_m	.516
374	resnet50-simclr-vissl	.515
375	ReAlnet06_cornet	.513
376	ReAlnet06	.512
377	alexnet_linf_8_robust	.512
378	resnet_50_v2	.511
379	v1-pyr-nodown	.510
380	ReAlnet03	.509
381	ReAlnet03_cornet	.509
382	resnet101_ecoset_full	.506
383	vit_large_patch14_clip_224:laion2b_ft_in1k	.503
384	hmax	.503
385	deepeisnn_ei_cifar10_resnet18	.502
386	resnet101_imagenet_full	.498
387	texture_shape_alexnet_trained_on_SIN	.497
388	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.493
389	cornet_s	.487
390	resnet50_imagenet_full	.486
391	ReAlnet02_cornet	.486
392	ReAlnet02	.485
393	ReAlnet05	.483
394	ReAlnet05_cornet	.483
395	resnet152_ecoset_full	.481
396	alexnet_fov4	.480
397	resnet50_ecoset_full	.472
398	resnet50-vitoimagevidnet8	.473
399	resnet18_imagenet_full	.472
400	resnet18_ecoset_full	.471
401	dinov2_vitl14_lc	.469
402	eicircuit_resnet18_bn_20260919	.467
403	inception_v1-tf	.466
404	CLIP_ViT-B_32	.460
405	alexnet_random_l2_3_perturb	.444
406	resnet34_ecoset_full	.443
407	deit_small_imagenet_full_seed-0	.442
408	resnet50_imagenet_100_seed-0	.435
409	resnet152_imagenet_full	.429
410	mobilevit_small	.429
411	my-model	.425
412	resnet34_imagenet_full	.397
413	dinov2_vitl14_reg_lc	.397
414	dinov2_vitg14_reg_lc	.394
415	AlexNet_SIN_fov4	.382
416	deepeisnn_ei_cifar10_vgg19	.382
417	dinov2_vitg14_lc	.346
418	vit_base_patch14_reg4_dinov2-lvd142m	.332
419	deit_small_imagenet_10_seed-0	.330
420	dinov2_vitl14_lc_res336	.312
421	vit_base_patch14_dinov2-lvd142m	.310
422	deit3_base_patch16_224_fb_in1k	.303
423	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.302
424	vit_base_patch16_dinov3-lvd1689m	.258
425	resnet50-cifar	.248
426	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.245
427	ReAlnet01_cornet_fov4	.196
428	gabor_filter_entropy_4x4	.029
429	mobilenet_v2_0.35_160
430	resnet18-supervised
431	r3m_resnet34_nocrop
432	fitvid_trained_on_physion
433	openclip
434	resnet50_ImageNet
435	regnet_y_400mf
436	tv_efficientnet-b1
437	alexnet_ks_torevert
438	yudixie_resnet50_imagenet1kpret_0_240312
439	resnet_152_v1
440	densenet_201_pytorch
441	pnasnet_large_pytorch
442	inception_v3_pytorch
443	inception_v4
444	nasnet_large
445	deit_small_imagenet_1_seed-0
446	pnasnet_large
447	vonegrcnn_62e_nobn
448	resnet_101_v2
449	vonegrcnn_47e
450	vonegrcnn_52e_full
451	resnet_152_v2
452	mehrer2020_alexnet_training_seed_01_fov4
453	mehrer2020_alexnet_training_seed_04
454	mehrer2020_alexnet_training_seed_09
455	pr1_stl10_disentangled_alpha04
456	predictive_coding_pc
457	dinov2_vitl14_reg_lc_featread
458	vit_large_clip336_openai
459	convnext_xxlarge_clip

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_DeValois1982

Metric: peak_sf