# Private Inference on Tiny ImageNet (val) Source: [Private Inference on Tiny ImageNet (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:48:26.974Z Evaluation of model inference latency and runtime performance on the validation split of the Tiny ImageNet dataset, measured across various network conditions (WAN, 5G, 4G/LTE, IoT). 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 | Private Inference | | Dataset (including any stated split) | Tiny ImageNet (val) | | Metric | Latency (WAN) | | Unit | TIME | | Direction | Lower is better | | Results loaded | 0 of 0 | | 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 - [Latency (WAN)](): Lower is better; unit: TIME. - [Latency (5G)](): Lower is better; unit: TIME. - [Latency (4G/LTE)](): Lower is better; unit: TIME. - [Latency (IoT)](): Lower is better; unit: TIME. - [Relative Runtime (%)](): Lower is better; unit: PERCENT. ## Recorded results | Method | Latency (WAN) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.