Apple drops M4 Pro and M4 Max with supercharged AI muscle

If you thought the AI PC race was getting crowded, Apple just threw a massive wrench into everyone else's benchmarks.

Apple officially rolled out the M4 Pro and M4 Max chips, completing the M4 family lineup for the Mac. Built on second-generation 3nm technology, Apple claims these chips pack the world's fastest CPU cores, double the ray-tracing speeds, and introduce Thunderbolt 5 to the Mac for the very first time.

Ridiculous memory bandwidth and Thunderbolt 5

The flagship M4 Max is basically built for extreme pro workloads. It tops out with a 16-core CPU and a 40-core GPU. Apple notes that its CPU is up to 2.5 times faster, and its GPU is up to 4 times faster than the Intel Core Ultra 7 258V inside competitive AI PCs.

Where things get really wild is memory. M4 Max supports up to 128GB of unified memory with a massive 546GB/s of bandwidth. Apple specifically highlighted that developers can now run large language models with nearly 200 billion parameters right on a laptop.

M4 Pro is no slouch either. It features up to a 14-core CPU and a 20-core GPU. More importantly, Apple listened to past complaints and boosted unified memory bandwidth to 273GB/s, a huge 75 percent jump over the M3 Pro.

Both the Pro and Max chips also gain Thunderbolt 5 support, pushing transfer speeds up to 120Gb/s, which more than doubles Thunderbolt 4 throughput. Even the base M4 chip got an upgrade, now supporting two external displays alongside the built-in screen.

Squeezing frontier AI locally

All this silicon horsepower is aimed directly at Apple Intelligence. While the first wave of features just went live in U.S. English with macOS Sequoia 15.1, Apple promised tools like Image Playground, Genmoji, and system-level ChatGPT integration will arrive in December.

With a Neural Engine that runs twice as fast as the prior generation and unified memory pools that dwarfed standard PC architectures, pro users can handle heavy transformer models without shipping proprietary data off to external cloud servers. All of this comes while keeping laptop battery life rated at up to 24 hours.

Why it matters

For machine learning engineers, 3D artists, and codebases running countless simulators, the M4 Max makes local workflows viable in ways Windows laptops simply cannot match right now. Being able to fit a 200B parameter model inside a portable machine without cloud subscription latency is a genuine superpower.

We think Apple's smartest move here was reversing the memory bandwidth bottlenecks introduced in the M3 generation. By widening the pipes to 546GB/s, Apple maintains a massive moat over x86 and Snapdragon-based AI PC chips, which cannot match this level of unified memory throughput for graphics and tensor math.

That said, Apple's silicon hardware is clearly outpacing its software delivery. Apple Intelligence is rolling out at a snail's pace, with key international languages delayed until April. If you are buying strictly for consumer AI gimmicks, hold off. But if your daily work involves heavy video rendering, compiling, or private local LLM tinkering, this hardware jump is worth every penny.