corsix/amx

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1261 stars · 59 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A C library and documentation of Apple's undocumented AMX (Apple Matrix eXtension) instructions found on M1-M4 Apple Silicon chips, enabling CPU-issued matrix and vector multiply-accumulate operations on a special accelerator unit. It includes reverse-engineered instruction encodings, header files, and research notes across chip generations.

Use cases

• use Apple AMX matrix accelerator on M1/M2/M3/M4
• write fast matrix multiply code on Apple Silicon
• learn undocumented Apple AMX instruction encodings
• accelerate linear algebra without GPU or Neural Engine
• compare AMX vs NEON performance on Apple chips
• access bf16 matrix operations on Apple Silicon

When to choose

• You need maximum CPU-side matrix/vector compute throughput on Apple M-series hardware
• You are doing low-level performance research or reverse engineering of Apple Silicon
• You want to avoid GPU/Neural Engine overhead for small matrix workloads

When to avoid

• You need documented, officially supported APIs (use Accelerate, Metal, or Core ML instead)
• You target non-Apple or pre-M1 hardware
• You need long-term stability, since AMX is undocumented and may change between chip generations

Facets

library · maturity active

gpu-computing math developer-tools hardware performance developer-tools cpp c apple-silicon amx matrix-multiply undocumented-instructions arm64 simd reverse-engineering algorithms macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="corsix/amx")