# Image Classification on ImageNet-R 5 tasks Source: [Image Classification on ImageNet-R 5 tasks]() Collection index: [llms.txt]() Data updated: 2026-05-12T07:50:25.222Z Evaluation of Image Classification performance on the ImageNet-R 5 tasks variant, reporting standard Accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | ImageNet-R 5 tasks | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 10 of 10 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | TRM | 90.8 | Not recorded | 6a02b3f7dbc836b87d82458d | | MagMAX | 89.7 | Not recorded | 6a02b3f7dbc836b87d82458d | | BECAME | 87.9 | Not recorded | 6a02b3f7dbc836b87d82458d | | TIES | 87.8 | Not recorded | 6a02b3f7dbc836b87d82458d | | Model Stock | 87.2 | Not recorded | 6a02b3f7dbc836b87d82458d | | TRM | 83.4 | Not recorded | 6a02b3f7dbc836b87d82458d | | MagMAX | 82.2 | Not recorded | 6a02b3f7dbc836b87d82458d | | TIES | 81.7 | Not recorded | 6a02b3f7dbc836b87d82458d | | BECAME | 81.2 | Not recorded | 6a02b3f7dbc836b87d82458d | | Model Stock | 79.6 | Not recorded | 6a02b3f7dbc836b87d82458d | ### TRM Accuracy: 90.8. Result ID: 6a02db3b47f34ce924e56121. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L/14","Pre-training":"WebImageText"}. This record does not assert independent reproduction. ### MagMAX Accuracy: 89.7. Result ID: 6a02db3b47f34ce924e5611f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L/14","Pre-training":"WebImageText"}. This record does not assert independent reproduction. ### BECAME Accuracy: 87.9. Result ID: 6a02db3b47f34ce924e56120. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L/14","Pre-training":"WebImageText"}. This record does not assert independent reproduction. ### TIES Accuracy: 87.8. Result ID: 6a02db3b47f34ce924e5611e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L/14","Pre-training":"WebImageText"}. This record does not assert independent reproduction. ### Model Stock Accuracy: 87.2. Result ID: 6a02db3b47f34ce924e5611d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L/14","Pre-training":"WebImageText"}. This record does not assert independent reproduction. ### TRM Accuracy: 83.4. Result ID: 6a02db3b47f34ce924e56130. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained dataset":"LAION-400M"}. This record does not assert independent reproduction. ### MagMAX Accuracy: 82.2. Result ID: 6a02db3b47f34ce924e5612e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained dataset":"LAION-400M"}. This record does not assert independent reproduction. ### TIES Accuracy: 81.7. Result ID: 6a02db3b47f34ce924e5612d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained dataset":"LAION-400M"}. This record does not assert independent reproduction. ### BECAME Accuracy: 81.2. Result ID: 6a02db3b47f34ce924e5612f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained dataset":"LAION-400M"}. This record does not assert independent reproduction. ### Model Stock Accuracy: 79.6. Result ID: 6a02db3b47f34ce924e5612c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained dataset":"LAION-400M"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.