PNG summaries of completed inference A/B across MCU (vs TFLM), MPU (Arm Cortex-A53 vs TF Lite), and CPU (Apple M4 vs TF Lite / ORT).
| File | Contents |
|---|---|
netkit_linkedin_wins.png |
LinkedIn one-panel — MCU · MPU · CPU wins vs TFLM / microTVM / TF Lite / ONNX Runtime. Shown on repo README and STATUS — Peer highlights |
netkit_linkedin_int8_suite.png |
Int8 latency (+ MCU flash/RAM) — shown on repo README |
netkit_linkedin_float32_suite.png |
Float32 latency — shown on repo README |
host_ab_linkedin_summary.png |
Older host-oriented LinkedIn summary card (not on README) |
Numbers and methodology: docs/STATUS.md.
benchmark/tflite/.venv/bin/python benchmark/linkedin/render_wins_summary.py
# or any Python 3 with PillowUpdate the hardcoded latencies in render_wins_summary.py when STATUS peer tables change.