Apple M5 Max 128GB real-world performance benchmarks for local inference

Real-world performance data is arriving for the Apple M5 Max with 128GB unified memory, marking a significant step up in consumer-grade local inference hardware. A practitioner transitioning from Raspberry Pi prototyping and M3 Pro experimentation reports on actual inference speeds and model capacity, providing concrete benchmarks for developers considering this hardware tier for serious local LLM work.

The M5 Max 128GB represents an inflection point where Apple Silicon becomes genuinely competitive with consumer GPU setups for medium-to-large model inference. With unified memory architecture eliminating PCIe bottlenecks and 128GB enabling full-precision or lightly-quantized versions of large models, this hardware opens up possibilities previously limited to multi-GPU rigs or cloud deployments. The move from M3 Pro to M5 Max clearly demonstrates the year-over-year capability improvements in Apple's silicon trajectory.

For practitioners evaluating local infrastructure, this benchmark provides reality-tested data on whether premium Apple Silicon investment makes sense versus alternative GPU or multi-CPU approaches. The hands-on perspective—from an experienced IT operator rather than a vendor—offers credibility for capacity planning and cost-benefit analysis when building production local inference systems.

Source: r/LocalLLaMA · Relevance: 8/10