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README.md

Peer-suite infographics

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.

Regenerate wins card

benchmark/tflite/.venv/bin/python benchmark/linkedin/render_wins_summary.py
# or any Python 3 with Pillow

Update the hardcoded latencies in render_wins_summary.py when STATUS peer tables change.