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("Geirhos2021edge-top1")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.963
2	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.944
3	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.925
4	vit_large_patch14_clip_224:laion2b_ft_in1k	.925
5	vit_large_patch14_clip_336:laion2b_ft_in1k	.906
6	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.900
7	vit_large_patch14_clip_224:openai_ft_in1k	.894
8	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.894
9	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.894
10	resnext101_32x32d_wsl	.881
11	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.881
12	convnext_base:clip_laiona_augreg_ft_in1k_384	.863
13	convnext_large:fb_in22k_ft_in1k	.844
14	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.825
15	convnext_xlarge:fb_in22k_ft_in1k	.812
16	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.800
17	resnext101_32x48d_wsl	.775
18	resnext101_32x8d_wsl	.769
19	resnext101_32x16d_wsl	.762
20	vit_base_patch16_clip_224:openai_ft_in1k	.756
21	fixres_resnext101_32x48d_wsl	.731
22	effnetv2m_custom384	.719
23	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.700
24	convnext_tiny:in12k_ft_in1k	.694
25	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.669
26	AdvProp_efficientnet-b7	.662
27	AdvProp_efficientnet-b4	.600
28	AdvProp_efficientnet-b6	.600
29	AT_efficientnet-b4	.600
30	AlexNet_SIN	.581
31	AdvProp_efficientnet-b8	.575
32	effnetb1_272x240	.569
33	tv_efficientnet-b1	.506
34	grcnn_109	.506
35	CLIP-RN50	.481
36	resnet50-SIN	.469
37	AT_efficientnet-b2	.469
38	AdvProp_efficientnet-b2	.469
39	vit_relpos_base_patch16_clsgap_224:sw_in1k	.438
40	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.438
41	convnext_large_imagenet_full_seed-0	.412
42	convnext_base_imagenet_full_seed-0	.400
43	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.400
44	convnext_small_imagenet_full_seed-0	.394
45	AdvProp_efficientnet-b0	.388
46	focalnet_tiny_lrf_in1k	.388
47	densenet-201-keras	.381
48	densenet-201	.381
49	densenet_201_pytorch	.381
50	mobilenet_v2_0.5_224-tf	.369
51	mobilenet_v2_0.75_192-tf	.369
52	efficientnet_b0	.362
53	efficientnet-b7	.362
54	mobilenet_v2_1.3_224-tf	.362
55	mobilenet_v2_0.75_224-tf	.362
56	mobilenet_v2_1_0_128	.362
57	cvt_cvt-21-224-in1k_4_LucyV4	.356
58	mobilenet_v2_0.5_128	.350
59	blt_vs	.350
60	mobilenet_v2_0_5_224	.350
61	mobilenet_v2_1_3_224	.350
62	mobilenet_v2_0.35_160	.344
63	imagenet_l2_10_0	.344
64	mobilenet_v2_0_75_224	.344
65	mobilenet_v2_0_75_192	.344
66	convnext_tiny_imagenet_full_seed-0	.344
67	inception_v4-tf	.338
68	mobilenet_v1_0.25_160	.338
69	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.338
70	mobilenet_v2_0.35_224	.331
71	mobilenet_v2_1.4_224-tf	.331
72	resnet152_imagenet_full	.331
73	convnext_femto_ols:d1_in1k	.331
74	BiT-S-R101x3	.325
75	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.325
76	densenet-169-keras	.325
77	mobilenet_v1_0.75_192	.325
78	resnet50_linf_8_robust	.325
79	efficientnet_b0_imagenet_full	.325
80	mobilenet_v2_1-4_224_pytorch	.325
81	resnet18_imagenet_full	.325
82	mobilenet_v2_1_4_224	.325
83	densenet-169	.325
84	mobilenet_v2_0.75_128	.319
85	mobilenet_v2_0.35_192	.319
86	convnext_tiny_sup	.319
87	antialiased-rnext101_32x8d	.319
88	BiT-S-R101x1	.312
89	mobilenet_v2_0.5_192-tf	.312
90	mobilenet_v1_0.5_128	.312
91	efficientnet_b1_imagenet_full	.312
92	cvt_cvt-13-384-in1k_4_LucyV4	.312
93	mobilenet_v2_1.0_192-tf	.306
94	mobilenet_v1_0.5_192	.306
95	mobilenet_v2_0.35_96	.306
96	alexnet	.306
97	resnet50_l2_3_robust	.306
98	inception_v4	.306
99	mobilenet_v2_1.0_160-tf	.300
100	mobilenet_v2_1.0_224-tf	.300
101	mobilenet_v2_0_5_192	.300
102	mobilenet_v2_0_75_160	.300
103	mobilenet_v2_1_0_192	.300
104	convnext_small_imagenet_100_seed-0	.300
105	mobilenet_v2_0.5_160	.294
106	alexnet-baseline	.294
107	alexnet	.294
108	alexnet	.294
109	mobilenet_v1_1.0_192	.294
110	alexnet	.294
111	alexnet	.294
112	alexnet	.294
113	mobilenet_v1_0.5_160	.294
114	alexnet	.294
115	alexnet	.294
116	alexnet_ks_torevert	.294
117	resnet101_imagenet_full	.294
118	cvt_cvt-13-224-in1k_4_LucyV4	.294
119	mobilenet_v2_1_0_224	.294
120	mobilenet_v2_1.0_128-tf	.287
121	mobilenet_v2_0.75_160-tf	.287
122	resnet_50_v2	.287
123	resnet-50-robust	.281
124	resnet-101_v2-tf	.281
125	resnet-152_v2-tf	.281
126	mobilenet_v2_0.35_128	.281
127	alexnet_l2_3_robust	.281
128	imagenet_l2_3_0	.281
129	resnet50_robust_l2_eps3	.281
130	resnet50-vitoimagevidnet8	.281
131	mobilenet_v1_0.5_224	.275
132	mobilenet_v1_1.0_160	.275
133	alexnet_early_checkpoint	.275
134	ReAlnet07	.275
135	inception_v3	.275
136	mobilenet_v2_0.75_96	.269
137	mobilenet_v1_1.0_128	.269
138	mobilenet_v1_1.0_224	.269
139	mobilenet_v2_1_0_160	.269
140	inception_v3_pytorch	.269
141	deit_large_imagenet_full_seed-0	.269
142	efficientnet_b2_imagenet_full	.269
143	nasnet_large-tf	.263
144	inception_v3-tf	.263
145	BiT-S-R50x3	.263
146	mobilenet_v1_0.75_224	.263
147	mobilenet_v1_0.25_224	.263
148	voneresnet-50-robust	.263
149	alexnet_random_linf8_perturb	.263
150	resnet34_imagenet_full	.263
151	resnet50_imagenet_full	.263
152	BiT-S-R152x2	.256
153	mobilenet_v1_0.25_192	.256
154	grcnn	.256
155	CORnet-S	.250
156	inception_v1-tf	.250
157	mobilenet_v2_1.0_96	.250
158	mobilenet_v1_0.75_128	.250
159	mobilenet_v1_0.75_160	.250
160	mobilenet_v1_0.25_128	.250
161	resnet-152_v2_pytorch	.250
162	pnasnet_large_pytorch	.250
163	nasnet_large	.250
164	densenet-121-keras	.244
165	BiT-S-R50x1	.244
166	resnet-152_v1-tf	.244
167	resnet-50_v2-tf	.244
168	vgg-19-keras	.244
169	xception-keras	.244
170	cv_18_dagger_408_pretrained	.244
171	custom_model_cv_18_dagger_408	.244
172	cvt_cvt-21-384-in1k_4_LucyV4	.244
173	densenet-121	.244
174	vgg-16-keras	.237
175	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.237
176	resnet_101_v2	.237
177	resnet_101_v1	.237
178	ReAlnet03	.237
179	pnasnet_large-tf	.231
180	resnet50_moco_v2	.231
181	resnet50-VITO-8deg-cc	.231
182	nasnet_mobile-tf	.225
183	ReAlnet04	.225
184	deit_base_imagenet_full_seed-0	.225
185	nasnet_mobile	.225
186	mobilenet_v2_0.5_96	.219
187	resnet50-SIN_IN	.219
188	BiT-S-R152x4	.219
189	alexnet_robust_correct	.219
190	resnet50-moclr8deg	.219
191	ReAlnet08	.219
192	ReAlnet09	.219
193	deit_small_imagenet_full_seed-0	.219
194	inception_v1	.219
195	resnet50	.212
196	antialias-resnet152	.212
197	pnasnet_large	.212
198	ReAlnet02	.212
199	resnet50_robust_l2_eps1	.206
200	resnet_152_v1	.206
201	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.200
202	ViT_L_32_imagenet1k	.200
203	resnet-18	.200
204	ReAlnet10	.200
205	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.194
206	alexnet_linf_8_robust	.194
207	regnet_y_400mf	.194
208	Res2Net50_26w_4s	.194
209	resnet50_eMMCR_Vanilla	.194
210	resnet_SIN_IN_FT_IN	.188
211	vonegrcnn_47e	.188
212	resnet50-SIN_IN_IN	.188
213	inception_v2-tf	.188
214	vgg_19	.188
215	xception	.188
216	vonegrcnn_62e_nobn	.181
217	ReAlnet06	.181
218	ReAlnet01	.181
219	vonegrcnn_47e	.181
220	resnet-50_v1-tf	.175
221	vonegrcnn_52e_full	.169
222	resnet-101_v1-tf	.169
223	voneresnet-50	.169
224	vonegrcnn_62e_nobn	.169
225	vonegrcnn_52e_full	.169
226	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.163
227	0.5x_resnet-18_LC_w_sh_1_iter	.163
228	resnet-34	.163
229	deit_small_imagenet_100_seed-0	.156
230	ReAlnet05	.156
231	squeezenet1_0	.150
232	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.150
233	resnet_152_v2	.150
234	squeezenet1_1	.144
235	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.144
236	vgg_16	.144
237	resnet50-vicregl0p75	.144
238	resnet-50-pytorch	.138
239	resnet50-sup	.138
240	antialiased-r50	.138
241	resnet_50_v1_spiking	.138
242	resnet50_tutorial	.138
243	resnet_50_v1	.138
244	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.131
245	voneresnet-50-non_stochastic	.125
246	ViT_B_16_imagenet1k	.125
247	resnet50_imagenet_10_seed-0	.119
248	ViT_B_32_imagenet1k	.106
249	resnet_50_v1_spiking_l4	.106
250	resnet_50_v1_spiking_l4a	.106
251	shufflenet_v2_x1_0	.100
252	alexnet_training_seed_09	.094
253	resnet50-simclr-vissl	.087
254	barlow-twins-resnet50	.081
255	resnet50_imagenet_100_seed-0	.081
256	resnet50-meshes-lt-100-original-scratch	.069
257	convnext_small_imagenet_10_seed-0	.069
258	alexnet_training_seed_04	.069
259	alexnet_training_seed_07	.069
260	alexnet_training_seed_01	.069
261	resnet-50_untrained	.062
262	resnet50-meshes-lt-100-original-pretrained	.062
263	mobilevit_small	.062
264	alexnet_training_seed_02	.062
265	alexnet_training_seed_08	.062
266	alexnet_training_seed_10	.062
267	deit_small_imagenet_10_seed-0	.062
268	convnext_small_imagenet_1_seed-0	.062
269	resnet50_imagenet_1_seed-0	.062
270	deit_small_imagenet_1_seed-0	.062
271	alexnet_training_seed_03	.062
272	alexnet_training_seed_05	.056
273	alexnet_training_seed_06	.056
274	resnet_50_v1_spiking_l3	.050
275	artResNet18_1	.044
276	resnet50-barlow	.037
277	resnet50-vicregl0p9	.037
278	ViT-B/32
279	resnet-18-LC_w_sh_100_iter_conv_init_m
280	BiT-M-R50x1
281	resnet-18-LC_w_sh_1_iter_conv_init_m
282	BiT-M-R152x2
283	resnet-18-LC_w_sh_1_iter_m
284	resnet-18-LC_w_sh_10_iter_m
285	BiT-M-R50x3
286	resnet-18-LC_w_sh_100_iter_m
287	resnet-18-LC_w_sh_10_iter_conv_init_m
288	FrankRobWobv0
289	0.5x_resnet-18_LC
290	CORnetZ_CIFAR10
291	resnet18-local_aggregation
292	r3m_resnet18
293	resnet18-deepcluster
294	CORnet-Z
295	vggface
296	my-model
297	resnet18-instance_recognition
298	0.5x_resnet-18_LC_w_sh_10_iter
299	r3m_resnet50
300	r3m_resnet34
301	resnet-18-LC_m
302	resnet18-supervised
303	r3m_resnet50_nocrop
304	resnet-18-LC_1st_conv_m
305	resnet-18-LC_conv_init_m
306	resnet18-contrastive_multiview
307	0.5x_resnet-18
308	RN50
309	0.5x_resnet-18_LC_w_sh_100_iter
310	RN50
311	resnet18-colorization
312	resnet18-relative_position
313	resnet18-autoencoder
314	resnet18-simclr
315	ViT_L_32
316	ViT_B_32
317	resnet18-depth_prediction
318	ViT_B_16
319	r3m_resnet34_nocrop
320	resnet18-contrastive_predictive
321	resnet-18-LC_untrained
322	resnet-18_untrained
323	resnet-50x2_untrained
324	dcgan
325	unet_entire
326	CORnetZ_CIFAR10_bs32_20_04
327	v1-pyr-nodown
328	pixels
329	dorinet_cornet_z
330	omnivore_swinT
331	omnivore_swinS
332	resnet50
333	openclip
334	vonealexnet_gaussian_noise_std4_fixed
335	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4
336	yudixie_resnet50_category_class_0_240908
337	yudixie_resnet50_distance_reg_0_240908
338	ConvLSTM
339	PredRNN
340	SimVP
341	TAU
342	briaai_rmbg_1_4
343	MIM
344	yolos_tiny
345	ReAlnet01_cornet
346	ReAlnet02_cornet
347	yudixie_resnet18_rotation_reg_0_240719
348	yudixie_resnet50_rotation_reg_0_240908
349	yudixie_resnet50_distance_rotation_0_240908
350	yudixie_resnet50_distance_translation_0_240908
351	resnet18_ecoset_full
352	VOneCORnet-S
353	ReAlnet04_cornet
354	resnet101_ecoset_full
355	resnet152_ecoset_full
356	ReAlnet03_cornet
357	yudixie_resnet18_distance_translation_0_240719
358	resnet-18_test_m
359	yudixie_resnet18_distance_rotation_0_240719
360	ReAlnet05_cornet
361	yudixie_resnet18_category_class_0_240719
362	yudixie_resnet50_translation_reg_0_240908
363	yudixie_resnet18_translation_reg_0_240719
364	yudixie_resnet18_distance_translation_rotation_0_240719
365	SeLaVi-AVE
366	hmax
367	ReAlnet06_cornet
368	yudixie_resnet50_translation_rotation_0_240908
369	ReAlnet01_ALL
370	r3d_18
371	yudixie_resnet18_distance_reg_0_240719
372	ReAlnet02_ALL
373	ReAlnet07_cornet
374	mc3_18
375	s3d
376	omnivore_swinB
377	resnet50-vicreg
378	ReAlnet08_cornet
379	mvit_v1_b
380	ReAlnet03_ALL
381	ReAlnet04_ALL
382	resnet18_imagenet21kP
383	ReAlnet09_cornet
384	SeLaVi-Kinetics400
385	ReAlnet05_ALL
386	SeLaVi-VGG-Sound
387	SeLaVi-Kinetics-Sound
388	ReAlnet06_ALL
389	ReAlnet10_cornet
390	yudixie_resnet50_imagenet1kpret_0_240908
391	yudixie_resnet50_distance_translation_rotation_0_240908
392	ReAlnet07_ALL
393	r2plus1d_18
394	mvit_v2_s
395	resnet34_ecoset_full
396	resnet50_ecoset_full
397	ReAlnet08_ALL
398	yudixie_resnet18_object_class_0_240719
399	yudixie_resnet50_cat_obj_class_all_latents_0_240908
400	yudixie_resnet18_cat_obj_class_all_latents_0_240719
401	yudixie_resnet18_random_0_240719
402	ReAlnet09_ALL
403	yudixie_resnet18_translation_rotation_0_240719
404	yudixie_resnet50_imagenet1kpret_0_240312
405	yudixie_resnet18_imagenet1kpret_0_240719
406	resnet50_primary_visual_cortex
407	yudixie_resnet50_object_class_0_240908
408	ReAlnet10_ALL
409	yudixie_resnet50_random_0_240908

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

1.00.

Note that scores are relative to this ceiling.

Data: Geirhos2021edge

Metric: top1