Matrix multiplication is very commonly used in science and engineering, not just machine learning. The neural engine is optimized for machine learning use case

Matrix multiplication is very commonly used in science and engineering, not just machine learning. The neural engine is optimized for machine learning use cases. This standardized successor to AMX is more general purpose than the neural engine and has much improved matrix multiplication performance vs NEON. As a bonus, since this is no longer just an experimental implementation of a matrix unit, you get documented access to the new ARM standardized low level instruction set.