# Image Classification on MNIST (test) (ANN vs SNN Accuracy Comparison) Source: [Image Classification on MNIST (test) (ANN vs SNN Accuracy Comparison)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:03:00.175Z Evaluation of Image Classification performance on the MNIST test set, specifically comparing the accuracy achieved by standard Artificial Neural Networks (ANN) against Spiking Neural Networks (SNN). 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) | MNIST (test) | | Metric | SNN Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 5 of 5 | | 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 - [SNN Accuracy](): Higher is better; unit: PERCENT. - [ANN Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | SNN Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ASF-BP | 99.65 | Not recorded | 68fa6f141e209131cea43c25 | | KDSNN | 99.37 | Not recorded | 68fa6f141e209131cea43c25 | | STBP | 98.89 | Not recorded | 68fa6f141e209131cea43c25 | | SDNN | 98.4 | Not recorded | 68fa6f141e209131cea43c25 | | ANTLR | 97.6 | Not recorded | 68fa6f141e209131cea43c25 | ### ASF-BP SNN Accuracy: 99.65. Result ID: 6990943c3a6c314849019a94. [Reporting paper]() Recorded evaluation configuration: {"ANN Architecture":"-","SNN Architecture":"LeNet5","timestep":400}. This record does not assert independent reproduction. ### KDSNN SNN Accuracy: 99.37. Result ID: 6990943c3a6c314849019a95. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"ResNet18","SNN Architecture":"2conv","timestep":4}. This record does not assert independent reproduction. ### STBP SNN Accuracy: 98.89. Result ID: 6990943c3a6c314849019a92. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"-","SNN Architecture":"784-800-10","timestep":30}. This record does not assert independent reproduction. ### SDNN SNN Accuracy: 98.4. Result ID: 6990943c3a6c314849019a91. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"-","SNN Architecture":"2conv-2pool","timestep":30}. This record does not assert independent reproduction. ### ANTLR SNN Accuracy: 97.6. Result ID: 6990943c3a6c314849019a93. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"ANN Architecture":"-","SNN Architecture":"784-800-10","timestep":100}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.