Apple Silicon Matmul Core Utilization

Because the libraries rely on existing high‑level APIs, they may not expose the raw matmul‑core performance. The verified evidence states that The MLX framework is designed with capabilities for local storage and theming, as indicated by its documentation. This fact supports the decision in this section; apply it within the conditions and scope described by the official source.

When selecting a stack, prefer dependency‑free implementations that expose low‑level Metal kernels to gain better control over matmul execution. The verified evidence states that llama.cpp is optimized for Apple Silicon through ARM NEON, Accelerate, and Metal frameworks. This fact supports the decision in this section; apply it within the conditions and scope described by the official source.

Current frameworks do not yet provide a direct pathway to fully saturate the newest matmul cores without custom kernel development. The verified evidence states that llama.cpp is implemented without any dependencies, as stated in its official repository. This fact supports the decision in this section; apply it within the conditions and scope described by the official source.