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.
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