| version: 1.0.0 | |
| report_type: vision-classification | |
| profile: Baseline | |
| created_at: '2026-06-23T13:30:07Z' | |
| context: | |
| target_ref: raspberry-pi-5 | |
| runtime: | |
| name: executorch | |
| execution_backend: cpu | |
| version: 1.1.0 | |
| config: | |
| n_threads: 4 | |
| optimisations: | |
| - XNNPACK | |
| - KleidiAI | |
| dataset: | |
| name: ImageNet-1k | |
| sample_count: 5000 | |
| slice: val | |
| reference_url: https://www.image-net.org/ | |
| benchmark: | |
| batch_size: 1 | |
| num_runs: 200 | |
| warmup_runs: 20 | |
| input_resolution: 224x224 | |
| performance: | |
| end_to_end_latency_ms: | |
| p50: 26.01 | |
| peak_memory_mb: 50.92 | |
| accuracy: | |
| top_1_accuracy_pct: 79.36 | |