Apple Neural Engine leaderboard
Peak on-engine performance and fp16-correctness limits, measured with
ANEForge across Apple Silicon.
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fp16 correctness cliffs
Magnitudes where the engine silently returns a wrong answer (clock-independent, so valid on battery).
Run it on your Mac (2 minutes, you get credited):
PYTHONPATH=. python3 bench/roofline_suite.py --contributor <your-gh-handle>