[Round 2 - Followup] M5 Max 128G Performance tests. I just got my new toy, and h

On March 22nd, a user returned to LocalLLaMA with what they're framing as Round 2 of performance testing on Apple's M5 Max configured with 128GB of unified memory. The "Round 2" label and the parenthetical "thank you for the feedback" tell you something useful: there was a first post, it drew criticism or questions substantial enough to send the tester back to the machine, and this is the revised account. That sequence — publish, absorb pushback, refine, republish — is either the signature of a genuinely conscientious benchmarker or someone chasing credibility through iteration. At this stage, there is no way to know which. What we do know is that the M5 Max 128GB sits near the top of what Apple currently offers for local AI workloads, and any serious attempt to characterise its real-world inference performance is worth watching, even when the sourcing is thin. The specific results from the post haven't been independently reproduced yet, which is precisely where the story stands right now: one person's testing, offered in good faith, waiting for someone else to either match it or contradict it.

If confirmed, here is what this means. The M5 Max 128GB has become a reference point for the serious edge of local AI inference — the class of hardware that lets researchers and developers run genuinely capable models without a data centre. Validated performance numbers at this tier directly affect purchasing decisions for teams who need local inference for privacy, latency, or cost reasons. They also pressure the competitive landscape: if Apple Silicon at this memory configuration delivers strong tokens-per-second on large models, it narrows the gap between consumer-accessible hardware and cloud-grade performance in ways that matter to anyone building products that can't ship user data to a remote API. The second-order effect is on the open-weights model ecosystem itself — developers tune and optimise for the hardware that people actually own, and knowing what the M5 Max 128GB can do shapes which model sizes and quantisation approaches get attention.

Watch for independent replication from other M5 Max 128GB owners — particularly anyone running standardised benchmarks like llama.cpp's built-in tests — and for Apple or third-party reviewers to publish their own numbers that either bracket or blow past what this post claimed.

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