Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering
a day ago
- #Apple Neural Engine
- #Machine Learning
- #Reverse Engineering
- Reverse engineering the M4 Apple Neural Engine (ANE) to bypass CoreML and interact directly with the hardware.
- Collaboration between human (maderix) and AI (Claude Opus 4.6) in systems research, combining human intuition with AI reasoning.
- Discovery of direct access to ANE via _ANEClient class, bypassing CoreML for compile, load, and evaluate operations.
- Understanding of ANE as a graph execution engine, not a CPU or GPU, executing entire neural network graphs atomically.
- Technical details on the ANE software stack, MIL (Machine Learning Intermediate Language), and E5 binary format.
- Insights into ANE hardware profile, including DVFS channels, supported operations, and IOSurface protocol for data transfer.
- Unexplored capabilities hinted by discovered classes like _ANEChainingRequest and _ANESharedEvents.
- Future plans to benchmark ANE performance and train neural networks directly on the ANE, challenging Apple's restrictions.