# Image Classification on CIFAR10 (test) (ANN & SNN Accuracy) Source: [Image Classification on CIFAR10 (test) (ANN & SNN Accuracy)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:22:34.796Z Evaluation of Image Classification performance on the CIFAR-10 test set, reporting Artificial Neural Network (ANN) Accuracy and Spiking Neural Network (SNN) 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) | CIFAR10 (test) | | Metric | ANN 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 - [ANN Accuracy](): Higher is better; unit: PERCENT. - [SNN Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | ANN Accuracy | Result date | Report paper | | --- | --- | --- | --- | | KDSNN | 95.17 | Not recorded | 68fa6f141e209131cea43c25 | | KDSNN | 95.17 | Not recorded | 68fa6f141e209131cea43c25 | | RMP | 93.63 | Not recorded | 68fa6f141e209131cea43c25 | | Hybrid Train | 93.15 | Not recorded | 68fa6f141e209131cea43c25 | | Hybrid Train | 92.81 | Not recorded | 68fa6f141e209131cea43c25 | | Opt. | 92.46 | Not recorded | 68fa6f141e209131cea43c25 | | Opt. | 92.34 | Not recorded | 68fa6f141e209131cea43c25 | | SPIKE-NORM | 91.7 | Not recorded | 68fa6f141e209131cea43c25 | | RMP | 91.47 | Not recorded | 68fa6f141e209131cea43c25 | | SPIKE-NORM | 89.1 | Not recorded | 68fa6f141e209131cea43c25 | ### KDSNN ANN Accuracy: 95.17. Result ID: 6990943c3a6c314849019a9a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Pyramidnet18","SNN Architecture":"VGG16","timestep":4}. This record does not assert independent reproduction. ### KDSNN ANN Accuracy: 95.17. Result ID: 6990943c3a6c314849019a9f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Pyramidnet18","SNN Architecture":"Resnet18","timestep":4}. This record does not assert independent reproduction. ### RMP ANN Accuracy: 93.63. Result ID: 6990943c3a6c314849019a98. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"VGG16","SNN Architecture":"VGG16","timestep":2048}. This record does not assert independent reproduction. ### Hybrid Train ANN Accuracy: 93.15. Result ID: 6990943c3a6c314849019a9c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Resnet20","SNN Architecture":"Resnet20","timestep":250}. This record does not assert independent reproduction. ### Hybrid Train ANN Accuracy: 92.81. Result ID: 6990943c3a6c314849019a97. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"VGG16","SNN Architecture":"VGG16","timestep":100}. This record does not assert independent reproduction. ### Opt. ANN Accuracy: 92.46. Result ID: 6990943c3a6c314849019a9e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Resnet20","SNN Architecture":"Resnet20","timestep":16}. This record does not assert independent reproduction. ### Opt. ANN Accuracy: 92.34. Result ID: 6990943c3a6c314849019a99. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"VGG16","SNN Architecture":"VGG16","timestep":16}. This record does not assert independent reproduction. ### SPIKE-NORM ANN Accuracy: 91.7. Result ID: 6990943c3a6c314849019a96. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"VGG16","SNN Architecture":"VGG16","timestep":2500}. This record does not assert independent reproduction. ### RMP ANN Accuracy: 91.47. Result ID: 6990943c3a6c314849019a9d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Resnet20","SNN Architecture":"Resnet20","timestep":2048}. This record does not assert independent reproduction. ### SPIKE-NORM ANN Accuracy: 89.1. Result ID: 6990943c3a6c314849019a9b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"Resnet20","SNN Architecture":"Resnet20","timestep":2500}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.