| version: 1.2.0 | |
| report_type: vision-classification | |
| profile: Baseline | |
| created_at: '2026-07-09T19:02:52Z' | |
| context: | |
| target_ref: raspberry-pi-5 | |
| runtime: | |
| name: executorch | |
| execution_backend: cpu | |
| version: 1.1.0 | |
| config: | |
| optimisations: | |
| - XNNPACK | |
| - KleidiAI | |
| n_threads: 1 | |
| dataset: | |
| name: ImageNet-1k | |
| slice: val | |
| sample_count: 50000 | |
| reference_url: https://www.image-net.org/ | |
| benchmark: | |
| batch_size: 1 | |
| input_resolution: 224x224 | |
| num_runs: 100 | |
| warmup_runs: 10 | |
| performance: | |
| end_to_end_latency_ms: | |
| p50: 35.34 | |
| p90: 35.476 | |
| peak_memory_mb: 31.16 | |
| average_memory_mb: 31.02 | |
| time_to_first_inference_ms: 56.411 | |
| model_load_time_ms: 19.266 | |
| frames_per_second: 28.3 | |
| accuracy: | |
| top_1_accuracy_pct: 72.13 | |
| top_5_accuracy_pct: 91.13 | |