Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Geirhos2021eidolonII-error_consistency")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	SWSL_resnext101_32x8d	.732
2	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.703
3	ViT_B_16_imagenet1k	.699
4	vision_transformer_vit_large_patch16_224	.696
5	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.692
6	vit_base_patch16_clip_224:openai_ft_in1k	.680
7	vit_relpos_base_patch16_clsgap_224:sw_in1k	.674
8	convnext_tiny_imagenet_full_seed-0	.665
9	resnext101_32x48d_wsl	.664
10	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.662
11	resnext101_32x16d_wsl	.662
12	deit3_base_patch16_224_fb_in1k	.661
13	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.659
14	AdvProp_efficientnet-b6	.656
15	convnext_large_in22k_supervised	.654
16	resnext101_32x32d_wsl	.650
17	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.650
18	regnety_032	.647
19	resnet_152_v2	.646
20	focalnet_tiny_lrf_in1k	.646
21	cvt_cvt-13-224-in1k_4_LucyV4	.643
22	pnasnet_large	.640
23	pnasnet_large_halfPrecision	.636
24	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.635
25	convnext_small_imagenet_100_seed-0	.632
26	resnet_50_v2	.630
27	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.626
28	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.625
29	resnext101_32x8d_wsl	.624
30	CLIP_ViT-B_32	.622
31	ViT_L_32_imagenet1k	.617
32	convnext_large:fb_in22k_ft_in1k	.613
33	vit_large_patch14_clip_224:laion2b_ft_in1k	.613
34	SWSL_resnet50	.613
35	resnet_101_v2	.610
36	convnext_base_fb_in22k_ft_in1k	.609
37	convnext_large_clip_laion2b_finelayers	.604
38	vit_large_patch14_clip_224:openai_ft_in1k	.603
39	resnet-152_v2-tf	.602
40	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.597
41	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.590
42	convnext_femto_ols:d1_in1k	.588
43	cvt_cvt-13-384-in1k_4_LucyV4	.582
44	AdvProp_efficientnet-b7	.578
45	pnasnet_large-tf	.577
46	convnext_large_imagenet_full_seed-0	.569
47	convnext_base_fb_in1k	.569
48	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.564
49	AdvProp_efficientnet-b4	.559
50	AT_efficientnet-b4	.559
51	CLIP_resnet50	.558
52	CLIP_resnet50_float32	.558
53	convnext_base:clip_laiona_augreg_ft_in1k_384	.555
54	seresnext50_32x4d	.553
55	ijepa_vith14_linhead	.550
56	fixres_resnext101_32x48d_wsl	.549
57	convnext_tiny:in12k_ft_in1k	.547
58	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.546
59	vit_large_clip336_openai	.543
60	effnetv2m_custom384	.540
61	efficientnet_b0	.538
62	cvt_cvt-21-384-in1k_4_LucyV4	.535
63	efficientnet-b7	.534
64	nasnet_large	.534
65	resnet152_imagenet_full	.527
66	resnet_152_v1	.524
67	resnet50-VITO-8deg-cc	.522
68	deit3_base_patch16_224_fb_in22k_ft_in1k	.521
69	nasnet_large-tf	.520
70	dinov2_vitl14_reg_lc	.519
71	cvt_cvt-21-224-in1k_4_LucyV4	.519
72	ViT_B_32_imagenet1k	.518
73	antialias-resnet152	.515
74	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.513
75	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.512
76	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.509
77	vit_huge_clip336_laion	.505
78	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.503
79	AT_efficientnet-b2	.501
80	AdvProp_efficientnet-b2	.501
81	resnet50_ewconplus_wzc_seed2_2__323	.500
82	deit_large_imagenet_full_seed-0	.496
83	effnetb1_272x240	.495
84	convnext_xlarge:fb_in22k_ft_in1k	.491
85	dinov2_vitg14_lc	.482
86	inception_v4	.482
87	vit_large_patch14_clip_336:laion2b_ft_in1k	.481
88	resnet50_ewconplus_wzc_seed5_2__323	.479
89	CLIP-RN50	.477
90	convnext_base_imagenet_full_seed-0	.475
91	eva02_large_in22k	.473
92	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.473
93	resnet_101_v1	.470
94	antialiased-rnext101_32x8d	.469
95	convnext_small_imagenet_full_seed-0	.465
96	deit_base_imagenet_full_seed-0	.465
97	inception_v3_pytorch	.463
98	resnet50_st_wzc_seed6_2_323	.459
99	inception_v3	.458
100	resnet-152_v1-tf	.455
101	grcnn_109	.454
102	tv_efficientnet-b1	.454
103	resnet50-moclr8deg	.453
104	resnet-152_v2_pytorch	.453
105	resnet101	.451
106	convnext_xxlarge_clip	.449
107	resnet50_imagenet_full	.448
108	pnasnet_large_pytorch	.445
109	cv_18_dagger_408_pretrained	.443
110	resnet101_imagenet_full	.433
111	densenet-201-keras	.423
112	inception_v4-tf	.423
113	dinov2_vitl14_lc	.422
114	densenet-201	.421
115	densenet_201_pytorch	.421
116	resnet50_st_wzc_seed3_2_323	.417
117	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.416
118	resnet-50_v2-tf	.416
119	grcnn	.414
120	dinov2_vitg14_reg_lc	.412
121	alexnet_fov4	.411
122	deit_small_imagenet_full_seed-0	.410
123	dinov2_vitl14_lc_res336	.408
124	resnet50_random_linf8_perturb	.405
125	custom_model_cv_18_dagger_408	.401
126	xception-keras	.399
127	BiT-S-R50x3	.399
128	Res2Net50_26w_4s	.394
129	mehrer2020_alexnet_training_seed_01_fov4	.391
130	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.379
131	resnet34_imagenet_full	.379
132	inception_v3-tf	.375
133	resnet50_hvs_wzc	.374
134	BiT-S-R152x2	.371
135	resnet50_random_l2_perturb	.371
136	resnet50_ewconplus_wzc_seed6_2_323	.368
137	ReAlnet03	.366
138	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.365
139	resnet50_moco_v2	.364
140	resnet50_st_wzc_2	.363
141	resnet50	.363
142	cornet_s	.361
143	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.361
144	vonegrcnn_62e_nobn	.359
145	efficientnet_b2_imagenet_full	.359
146	resnet50_linf_4_robust	.358
147	vonegrcnn_47e	.354
148	vonegrcnn_52e_full	.351
149	AdvProp_efficientnet-b8	.350
150	resnet50_barlowtwins_linhead	.346
151	ReAlnet01	.345
152	ReAlnet04	.342
153	resnet50_byol	.337
154	BiT-S-R101x3	.331
155	vonegrcnn_47e	.330
156	resnet50_tutorial	.329
157	resnet_50_v1	.329
158	resnet-50-pytorch	.329
159	resnet50-sup	.329
160	resnet18_imagenet_full	.329
161	resnet50_ewconplus_wzc	.327
162	vonegrcnn_52e_full	.325
163	densenet-121-keras	.320
164	resnet-50_v1-tf	.317
165	vgg_19	.317
166	antialiased-r50	.315
167	alexnet_random_linf8_perturb	.314
168	resnet50-SIN_IN_IN	.313
169	resnet_SIN_IN_FT_IN	.313
170	ReAlnet06	.313
171	densenet-169-keras	.311
172	vonegrcnn_62e_nobn	.311
173	alexnet_reduced_aliasing_early_checkpoint	.308
174	CORnet-S	.304
175	resnet50_byol_linhead	.303
176	densenet-121	.302
177	convnext_base_fb_in1k_gram_aligned_dinov3	.300
178	ReAlnet05	.299
179	ReAlnet07	.298
180	xception	.298
181	resnet_50_v1_spiking	.297
182	voneresnet-50-robust	.296
183	mobilenet_v2_1.4_224-tf	.296
184	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.294
185	inception_v2-tf	.294
186	resnet50_simclr_linhead_01norm	.293
187	voneresnet-50	.289
188	inception_v1-tf	.289
189	mobilenet_v2_1-4_224_pytorch	.287
190	mobilenet_v2_1_4_224	.287
191	voneresnet-50-non_stochastic	.286
192	resnet-101_v1-tf	.285
193	ReAlnet10	.279
194	resnet50_vicreg_linhead	.279
195	ReAlnet08	.278
196	ReAlnet02	.274
197	densenet-169	.270
198	vgg_16	.270
199	mobilenet_v2_1_0_224	.267
200	resnet50_l2_3_robust	.266
201	mobilenet_v2_1_0_160	.266
202	ReAlnet09	.265
203	mobilenet_v2_1_3_224	.260
204	resnet50-SIN_IN	.258
205	BiT-S-R152x4	.257
206	BiT-S-R50x1	.256
207	alexnet_l2_3_robust	.255
208	resnet50-vitoimagevidnet8	.254
209	alexnet	.252
210	alexnet_ks_torevert	.252
211	nasnet_mobile	.250
212	blt_vs	.247
213	alexnet_linf_8_robust	.246
214	eicircuit_resnet18_bn_20260919	.239
215	alexnet_robust_correct	.236
216	vonealexnet_gaussian_noise_std4_fixed	.235
217	inception_v1	.235
218	alexnet_fov12	.232
219	resnet50_simsiam_linhead	.228
220	mobilenet_v2_0_5_224	.226
221	resnet-50-robust	.226
222	imagenet_l2_3_0	.226
223	resnet50_robust_l2_eps3	.226
224	mobilenet_v2_1.0_160-tf	.225
225	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.225
226	deit_small_imagenet_100_seed-0	.224
227	efficientnet_b0_imagenet_full	.224
228	konkle_alexnetgn_ipcl_ref01_primary_model	.223
229	convnext_tiny_sup	.223
230	mehrer2020_alexnet_training_seed_01_fov16	.222
231	resnet-18	.216
232	resnet-34	.216
233	alexnet_random_l2_3_perturb	.215
234	resnet50_robust_l2_eps1	.206
235	mobilenet_v2_1_0_192	.206
236	vgg-16-keras	.204
237	mobilenet_v2_1.3_224-tf	.198
238	mobilenet_v1_1.0_224	.196
239	resnet50_linf_8_robust	.195
240	BiT-S-R101x1	.191
241	regnet_y_400mf	.190
242	efficientnet_b1_imagenet_full	.189
243	mobilenet_v2_1.0_192-tf	.189
244	resnet50_imagenet_10_seed-0	.182
245	deit_small_imagenet_10_seed-0	.182
246	mobilenet_v1_0.75_224	.180
247	mobilenet_v2_1.0_224-tf	.180
248	resnet50-barlow	.179
249	resnet50-vicreg	.178
250	texture_shape_resnet50_trained_on_SIN	.178
251	mehrer2020_alexnet_training_seed_01	.178
252	deit_small_imagenet_1_seed-0	.174
253	alexnet_fov16	.174
254	resnet50_eMMCR_Vanilla	.173
255	nasnet_mobile-tf	.169
256	mehrer2020_alexnet_training_seed_04	.167
257	mobilenet_v2_0_5_192	.166
258	convnext_small_imagenet_10_seed-0	.161
259	mobilenet_v2_0.5_192-tf	.161
260	resnet50_simclr	.158
261	mehrer2020_alexnet_training_seed_05	.158
262	shufflenet_v2_x1_0	.158
263	mehrer2020_alexnet_training_seed_01_fov12	.157
264	mobilenet_v2_0_75_160	.155
265	mobilenet_v1_1.0_192	.154
266	alexnet_early_checkpoint	.151
267	imagenet_l2_10_0	.149
268	mobilenet_v1_0.75_128	.145
269	mobilenet_v2_0.5_224-tf	.143
270	alexnet_training_seed_05	.143
271	alexnet_training_seed_01	.143
272	alexnet_training_seed_01_fov4	.143
273	alexnet_training_seed_01_fov16	.143
274	alexnet_training_seed_01_fov12	.143
275	0.5x_resnet-18_LC_w_sh_1_iter	.142
276	mobilenet_v2_0.35_160	.137
277	vgg-19-keras	.136
278	mehrer2020_alexnet_training_seed_03	.135
279	resnet50-SIN	.134
280	mobilenet_v2_0.5_96	.133
281	AlexNet_SIN_fov4	.130
282	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.128
283	texture_shape_alexnet_trained_on_SIN	.124
284	mobilenet_v2_0.75_192-tf	.124
285	AdvProp_efficientnet-b0	.118
286	resnet50_imagenet_100_seed-0	.118
287	mobilenet_v1_0.75_192	.116
288	AlexNet_SIN	.115
289	mobilenet_v2_0.75_224-tf	.114
290	mobilenet_v2_0.5_160	.114
291	mobilenet_v1_0.25_160	.112
292	mobilenet_v2_0_75_192	.110
293	mobilenet_v2_0.35_128	.109
294	mobilenet_v2_0_75_224	.107
295	mehrer2020_alexnet_training_seed_02	.106
296	mobilenet_v2_0.75_128	.105
297	mobilenet_v2_1_0_128	.105
298	mobilenet_v2_0.35_96	.104
299	mobilenet_v1_0.75_160	.100
300	alexnet_training_seed_06	.098
301	mobilenet_v1_1.0_160	.098
302	mobilenet_v1_0.5_192	.096
303	mobilenet_v2_1.0_96	.089
304	mobilenet_v2_1.0_128-tf	.088
305	mobilenet_v2_0.75_160-tf	.086
306	mobilenet_v1_0.5_224	.086
307	mobilenet_v1_0.25_192	.086
308	mobilenet_v2_0.35_192	.078
309	squeezenet1_1	.075
310	mobilenet_v1_1.0_128	.071
311	my-model	.065
312	mobilenet_v2_0.75_96	.065
313	resnet_50_v1_spiking_l4a	.061
314	mobilenet_v2_0.35_224	.061
315	squeezenet1_0	.058
316	resnet50-simclr-vissl	.058
317	resnet50-vicregl0p9	.057
318	AlexNet_SIN_fov12	.053
319	mobilevit_small	.052
320	alexnet_training_seed_02	.049
321	alexnet_training_seed_04	.049
322	alexnet_training_seed_08	.049
323	alexnet_training_seed_10	.049
324	resnet50-vicregl0p75	.048
325	mobilenet_v1_0.25_128	.046
326	mobilenet_v2_0.5_128	.042
327	resnet-50_untrained	.041
328	mobilenet_v1_0.5_160	.040
329	mobilenet_v1_0.25_224	.039
330	convnext_small_imagenet_1_seed-0	.032
331	alexnet_training_seed_03	.030
332	resnet_50_v1_spiking_l3	.026
333	resnet50_FractalDB	.024
334	alexnet_training_seed_07	.024
335	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.024
336	resnet_50_v1_spiking_l4	.020
337	alexnet_training_seed_09	.013
338	resnet50_imagenet_1_seed-0	.010
339	mobilenet_v1_0.5_128	.007
340	artResNet18_1	.006
341	AlexNet_SIN_fov16	.003
342	barlow-twins-resnet50	.002
343	resnet-18-LC_w_sh_100_iter_conv_init_m
344	ViT-B/32
345	BiT-M-R50x3
346	BiT-M-R50x1
347	BiT-M-R152x2
348	resnet-18-LC_w_sh_1_iter_conv_init_m
349	resnet-18-LC_w_sh_10_iter_m
350	resnet-18-LC_w_sh_100_iter_m
351	resnet-18-LC_w_sh_1_iter_m
352	resnet-18-LC_w_sh_10_iter_conv_init_m
353	FrankRobWobv0
354	resnet18-local_aggregation
355	0.5x_resnet-18_LC
356	CORnetZ_CIFAR10
357	resnet18-deepcluster
358	r3m_resnet18
359	CORnet-Z
360	resnet18-instance_recognition
361	my-model
362	vggface
363	0.5x_resnet-18_LC_w_sh_10_iter
364	resnet18-colorization
365	r3m_resnet50
366	r3m_resnet34
367	resnet-18-LC_m
368	r3m_resnet50_nocrop
369	resnet18-supervised
370	resnet-18-LC_1st_conv_m
371	resnet-18-LC_conv_init_m
372	resnet18-contrastive_multiview
373	0.5x_resnet-18
374	RN50
375	0.5x_resnet-18_LC_w_sh_100_iter
376	RN50
377	resnet18-relative_position
378	resnet18-autoencoder
379	resnet18-simclr
380	ViT_L_32
381	ViT_B_32
382	resnet18-depth_prediction
383	ViT_B_16
384	r3m_resnet34_nocrop
385	resnet18-contrastive_predictive
386	omnivore_swinT
387	resnet-18-LC_untrained
388	resnet-18_untrained
389	resnet-50x2_untrained
390	dcgan
391	v1-pyr-nodown
392	unet_entire
393	yudixie_resnet50_imagenet1kpret_0_240908
394	CORnetZ_CIFAR10_bs32_20_04
395	pixels
396	dorinet_cornet_z
397	openclip
398	resnet50-cifar
399	resnet50_pretrained_with_retinal_waves
400	resnet50_ImageNet
401	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4
402	yudixie_resnet50_random_0_240908
403	yudixie_resnet50_cat_obj_class_all_latents_0_240908
404	yudixie_resnet50_imagenet1kpret_0_240312
405	yudixie_resnet50_object_class_0_240908
406	yudixie_resnet50_category_class_0_240908
407	resnet18_imagenet21kP
408	yudixie_resnet50_distance_reg_0_240908
409	ConvLSTM
410	PredRNN
411	SimVP
412	TAU
413	MIM
414	hmax
415	ReAlnet01_cornet
416	briaai_rmbg_1_4
417	vit_base_patch16_dinov3-lvd1689m
418	yolos_tiny
419	yudixie_resnet18_translation_reg_0_240719
420	compact_resnet50_V4
421	yudixie_resnet18_distance_reg_0_240719
422	ReAlnet03_cornet
423	yudixie_resnet18_rotation_reg_0_240719
424	yudixie_resnet18_imagenet1kpret_0_240719
425	eBarlow_lmda_02_1000ep
426	resnet18_ecoset_full
427	vit_base_patch14_dinov2-lvd142m
428	compact_resnet50_IT
429	VOneCORnet-S
430	resnet50_ecoset_full
431	ReAlnet01_cornet_fov4
432	vit_base_patch14_reg4_dinov2-lvd142m
433	yudixie_resnet50_distance_rotation_0_240908
434	compact_resnet50_robust_V4
435	yudixie_resnet50_rotation_reg_0_240908
436	yudixie_resnet50_distance_translation_0_240908
437	yudixie_resnet18_distance_translation_0_240719
438	ReAlnet01_cornet_fov12
439	yudixie_resnet18_translation_rotation_0_240719
440	yudixie_resnet18_distance_rotation_0_240719
441	compact_vgg19_V4
442	yudixie_resnet18_category_class_0_240719
443	ReAlnet05_cornet
444	resnet-18_test_m
445	yudixie_resnet18_cat_obj_class_all_latents_0_240719
446	yudixie_resnet18_distance_translation_rotation_0_240719
447	yudixie_resnet18_object_class_0_240719
448	SeLaVi-AVE
449	ReAlnet06_cornet
450	compact_vgg19_IT
451	r3d_18
452	yudixie_resnet50_translation_reg_0_240908
453	yudixie_resnet50_translation_rotation_0_240908
454	ReAlnet01_ALL
455	ReAlnet07_cornet
456	mc3_18
457	s3d
458	mvit_v1_b
459	ReAlnet02_ALL
460	ReAlnet03_ALL
461	compact_cornets_V4
462	ReAlnet04_ALL
463	omnivore_swinB
464	SeLaVi-Kinetics400
465	SeLaVi-VGG-Sound
466	compact_cornets_IT
467	ReAlnet05_ALL
468	SeLaVi-Kinetics-Sound
469	ReAlnet06_ALL
470	omnivore_swinS
471	r2plus1d_18
472	ReAlnet10_cornet
473	mvit_v2_s
474	ReAlnet07_ALL
475	compact_resnet50_robust_IT
476	resnet101_ecoset_full
477	resnet34_ecoset_full
478	yudixie_resnet50_distance_translation_rotation_0_240908
479	ReAlnet08_ALL
480	yudixie_resnet18_random_0_240719
481	ReAlnet04_cornet
482	ReAlnet09_ALL
483	ReAlnet09_cornet
484	resnet50_primary_visual_cortex
485	ReAlnet10_ALL
486	ReAlnet02_cornet
487	ReAlnet01_cornet_fov16
488	ReAlnet08_cornet
489	resnet152_ecoset_full
490	resnet18_fair
491	predictive_coding_pc
492	yudixie_wbh_object_class_scaling_0415_run_0
493	yudixie_wbh_object_class_scaling_0415_run_3
494	yudixie_wbh_object_class_scaling_0415_imagenet
495	yudixie_wbh_object_class_scaling_0415_run_2
496	yudixie_wbh_object_class_scaling_0415_run_1
497	deepeisnn_ei_cifar10_vgg19
498	deepeisnn_ei_cifar10_resnet18
499	deepeisnn_ei_imagenet_resnet18
500	dinov2_vitl14_reg_lc_featread
501	gabor_filter_entropy_4x4
502	gabor_filter_entropy_4x4_v2
503	gabor_filter_entropy_4x4_v2_forcedCosine
504	gabor_filter_mean_abs_4x4_v2

Benchmark bibtex

@article{geirhos2021partial,
              title={Partial success in closing the gap between human and machine vision},
              author={Geirhos, Robert and Narayanappa, Kantharaju and Mitzkus, Benjamin and Thieringer, Tizian and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
              journal={Advances in Neural Information Processing Systems},
              volume={34},
              year={2021},
              url={https://openreview.net/forum?id=QkljT4mrfs}
        }

Ceiling

0.45.

Note that scores are relative to this ceiling.

Data: Geirhos2021eidolonII

Metric: error_consistency