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Validation: Performance Benchmarks #520

Description

@ucguy4u

Performance Verification

Benchmark
Cold start, Warm start, Model loading time, First transcript latency, Summary generation time, Embedding speed, Speaker detection latency, Memory usage, CPU usage, GPU/NPU utilization, Battery consumption, Storage growth

Engineering Practices to Adopt

  • Every feature must include telemetry (stored locally if offline).
  • Every background task must be resumable.
  • Every download must be recoverable.
  • Every expensive operation must expose progress.
  • Every AI task must be cancellable.
  • Every model must support integrity verification.
  • Every database schema change must include migrations.
  • Every release must include performance benchmarks.
  • Every release must include battery impact measurements.
  • Every release must include regression tests for recording, downloads, transcription, and search.

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