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

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_DeValois1982

Metric: peak_sf