Test a Pocket AI Device Across Battery, Offline, and Permission Loss

Short summary

A credible edge-AI device release requires testing across a full envelope of power, network, permission, lifecycle, and model states—not just a happy-path demo. Record task success, latency, energy, temperature, and recovery for every realistic combination. Pin firmware, model, quantization, and ambient conditions so results are reproducible. An edge-AI release is trustworthy when it describes its operating boundary, not when it shows one fast demo.

• •Define a test envelope covering power, network, permission, lifecycle, and model states
• •Record p50/p95 latency, energy, temperature, memory, and recovery for each combination
• •Pin firmware, model, quantization, and ambient conditions for reproducibility

Generated with AI, which can make mistakes.