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