# Image Classification on ImageNet (test) (Accuracy and Calibration) Source: [Image Classification on ImageNet (test) (Accuracy and Calibration)]() Collection index: [llms.txt]() Data updated: 2026-06-11T11:08:57.536Z Evaluation of standard Image Classification performance on the ImageNet test set, reporting Top-1 Accuracy along with model calibration metrics (Average Confidence and Expected Calibration Error - ECE). 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 (test) | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | 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 - [Top-1 Accuracy](): Higher is better; unit: PERCENT. - [Average Confidence](): Higher is better; unit: PERCENT. - [ECE](): Lower is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ConvNeXt-Large | 80.96 | Not recorded | 6a2a414bd33dfb23e78394fa | | ViT-B/16 | 80.05 | Not recorded | 6a2a414bd33dfb23e78394fa | | ResNet152V2 | 77.23 | Not recorded | 6a2a414bd33dfb23e78394fa | | MobileNetV2 | 71.6 | Not recorded | 6a2a414bd33dfb23e78394fa | | MobileNetV2 | 71.58 | Not recorded | 6a2a414bd33dfb23e78394fa | | MobileNetV2 | 71.52 | Not recorded | 6a2a414bd33dfb23e78394fa | | MobileNetV2 Baseline | 70.06 | Not recorded | 6a2a414bd33dfb23e78394fa | | MobileNetV2 | 69.47 | Not recorded | 6a2a414bd33dfb23e78394fa | | ConvNeXt-Tiny | 65.9 | Not recorded | 6a2a414bd33dfb23e78394fa | ### ConvNeXt-Large Top-1 Accuracy: 80.96. Result ID: 6a2a972efbc373592c28bae0. [Reporting paper]() Recorded evaluation configuration: {"Model Role":"Teacher"}. This record does not assert independent reproduction. ### ViT-B/16 Top-1 Accuracy: 80.05. Result ID: 6a2a972efbc373592c28bae1. [Reporting paper]() Recorded evaluation configuration: {"Model Role":"Teacher"}. This record does not assert independent reproduction. ### ResNet152V2 Top-1 Accuracy: 77.23. Result ID: 6a2a972efbc373592c28bae2. [Reporting paper]() Recorded evaluation configuration: {"Model Role":"Teacher"}. This record does not assert independent reproduction. ### MobileNetV2 Top-1 Accuracy: 71.6. Result ID: 6a2a972efbc373592c28bae4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Distillation Strategy":"KD + MixUp","Teacher Backbone":"ConvNeXt-Large"}. This record does not assert independent reproduction. ### MobileNetV2 Top-1 Accuracy: 71.58. Result ID: 6a2a972efbc373592c28bae5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Distillation Strategy":"KD + MixUp","Teacher Backbone":"ViT-B/16"}. This record does not assert independent reproduction. ### MobileNetV2 Top-1 Accuracy: 71.52. Result ID: 6a2a972efbc373592c28bae6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Distillation Strategy":"KD + MixUp","Teacher Backbone":"ResNet152V2"}. This record does not assert independent reproduction. ### MobileNetV2 Baseline Top-1 Accuracy: 70.06. Result ID: 6a2a972efbc373592c28bae8. [Reporting paper]() Recorded evaluation configuration: {"Distillation Strategy":"None"}. This record does not assert independent reproduction. ### MobileNetV2 Top-1 Accuracy: 69.47. Result ID: 6a2a972efbc373592c28bae7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Distillation Strategy":"KD + MixUp","Teacher Backbone":"ConvNeXt-Tiny"}. This record does not assert independent reproduction. ### ConvNeXt-Tiny Top-1 Accuracy: 65.9. Result ID: 6a2a972efbc373592c28bae3. [Reporting paper]() Recorded evaluation configuration: {"Model Role":"Teacher"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.