# Image Classification on CIFAR-10 (test) (Accuracy and Compression Metrics) Source: [Image Classification on CIFAR-10 (test) (Accuracy and Compression Metrics)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:07:15.348Z Evaluation of Image Classification performance on the CIFAR-10 test set, focusing on standard accuracy, accuracy change (delta), and model compression efficiency (parameter and FLOPs ratios). 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) | CIFAR-10 (test) | | Metric | Top-1 Accuracy (Base) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 (Base)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy Delta (%)](): Higher is better; unit: PERCENT. - [Compression Ratio (Params)](): Higher is better; unit: SCALAR. - [Compression Ratio (FLOPs)](): Higher is better; unit: SCALAR. ## Recorded results | Method | Top-1 Accuracy (Base) | Result date | Report paper | | --- | --- | --- | --- | | GAL-0.5 | 95.05 | Not recorded | 6937ad2d6cfd488761a4ea24 | | Hrank | 95.05 | Not recorded | 6937ad2d6cfd488761a4ea24 | | ABC | 95.05 | Not recorded | 6937ad2d6cfd488761a4ea24 | | Hrank | 95.05 | Not recorded | 6937ad2d6cfd488761a4ea24 | | FROBENIUS | 94.82 | Not recorded | 6937ad2d6cfd488761a4ea24 | | NEXP | 94.64 | Not recorded | 6937ad2d6cfd488761a4ea24 | | NEXP | 94.64 | Not recorded | 6937ad2d6cfd488761a4ea24 | | NEXP | 94.64 | Not recorded | 6937ad2d6cfd488761a4ea24 | ### GAL-0.5 Top-1 Accuracy (Base): 95.05. Result ID: 699981165698665ec4f14a04. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### Hrank Top-1 Accuracy (Base): 95.05. Result ID: 699981165698665ec4f14a07. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### ABC Top-1 Accuracy (Base): 95.05. Result ID: 699981165698665ec4f14a0a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### Hrank Top-1 Accuracy (Base): 95.05. Result ID: 699981165698665ec4f14a0b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### FROBENIUS Top-1 Accuracy (Base): 94.82. Result ID: 699981165698665ec4f14a05. [Reporting paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### NEXP Top-1 Accuracy (Base): 94.64. Result ID: 699981165698665ec4f14a06. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### NEXP Top-1 Accuracy (Base): 94.64. Result ID: 699981165698665ec4f14a08. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. ### NEXP Top-1 Accuracy (Base): 94.64. Result ID: 699981165698665ec4f14a09. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"DenseNet-40"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.