| version: 1.2.0 | |
| report_type: image-to-image | |
| profile: Baseline | |
| created_at: '2026-07-09T19:02:52Z' | |
| context: | |
| target_ref: aws-graviton-g4-16-core | |
| runtime: | |
| name: executorch | |
| execution_backend: cpu | |
| config: | |
| optimisations: | |
| - XNNPACK | |
| - KleidiAI | |
| version: 1.1.0 | |
| dataset: | |
| name: urban100 | |
| sample_count: 100 | |
| benchmark: | |
| batch_size: 1 | |
| input_resolution: 128x128x3 | |
| num_runs: 100 | |
| warmup_runs: 10 | |
| performance: | |
| end_to_end_latency_ms: | |
| p50: 1762.73 | |
| p90: 1764.721 | |
| p99: 1771.111 | |
| model_load_time_ms: 66.291 | |
| time_to_first_inference_ms: 1968.651 | |
| peak_memory_mb: 799.74 | |
| average_memory_mb: 797.35 | |
| frames_per_second: 0.57 | |
| accuracy: | |
| psnr_db: 27.03 | |
| ssim: 0.8176 | |