Apple M5 Max 128GB Benchmark Results for Local LLM Inference

A community member with a new Apple M5 Max 128GB system has begun publishing comprehensive benchmark results for local LLM inference. The 128GB unified memory configuration is particularly significant, as it enables efficient inference of very large models on Apple Silicon without the usual memory bottlenecks that constrain smaller MacBook configurations.

These benchmarks matter because Apple's latest generation silicon represents a meaningful shift in what's possible on consumer hardware. The combination of high memory bandwidth, large unified memory pools, and specialized neural accelerators creates conditions where consumer laptops can rival or exceed dedicated GPU setups for certain workloads. Real performance data helps practitioners assess whether investing in premium Apple hardware makes sense for their local inference needs.

As results post in the comments, this becomes an important reference point for evaluating M5 Max as a deployment target. The growing viability of high-end consumer laptops for serious local inference changes the economics and accessibility of self-hosted AI systems.

Source: r/LocalLLaMA · Relevance: 8/10