Apple yesterday announced the M6, its first chip built using a 2nm process and the first Apple silicon design to use three different CPU core types, but how does it compare to the M5?
Compared to the M5 chip that Apple launched in October 2025, the M6 delivers:
- Up to 1.2x faster multithreaded CPU performance.
- Nearly 30% higher peak GPU compute for AI.
- Up to 2x peak Neural Engine compute.
- 50% higher geometry rates for complex graphics.
- 10% higher unified memory bandwidth.
Apple did not publish real-world benchmarks comparing the M6 to the M5 directly, instead framing its Mac mini figures against the M4 and M1 models:
- Up to 13.5x faster LLM prompt processing in LM Studio versus M1, and up to 4.8x faster versus the M4.
- Up to 2.3x faster spreadsheet calculations in Microsoft Excel versus M1, and up to 1.5x faster versus the M4.
- Up to 2x faster gaming performance with ray tracing in “Cyberpunk 2077: Ultimate Edition” versus the M4.
The most significant architectural change is in the CPU. The M5 splits its ten cores into performance and efficiency groups, which is an arrangement Apple silicon has used since the M1. The M6 adds a third tier called “super cores,” which handle single-threaded workloads and which Apple says give the chip the world’s fastest single-threaded performance.
The performance cores join them for heavier multithreaded work, while the efficiency cores take background tasks. The second major change is the Neural Engine, which is now doubled, with system frameworks able to use both engines at once so apps see faster model execution without any work from developers required. Other hardware changes compared to the M5 include:
| Apple M5 Chip (2025) | Apple M6 Chip (2026) |
|---|---|
| Made with TSMC’s third-generation 3nm process (N3P) | Made with TSMC’s first-generation 2nm process (N2) |
| FinFET transistors | Gate-all-around nanosheet transistors |
| 10-core CPU with 4 performance cores and 6 efficiency cores | 12-core CPU with 2 super cores, 4 performance cores, and 6 efficiency cores |
| Super cores dedicated to single-threaded workloads | |
| 16-core Neural Engine | Dual 16-core Neural Engine that system frameworks can run simultaneously |
| 10-core GPU with a Neural Accelerator in every core | 12-core GPU with a Neural Accelerator in every core |
| Enhanced shader cores | Updated shader core architecture |
| Second-generation dynamic caching | Third-generation dynamic caching |
| 153 GB/s unified memory bandwidth | 170 GB/s unified memory bandwidth |
The move to a 2nm process is a significant technical change. Apple chips have used FinFET transistors for years, but the M6’s N2 process uses a newer design with gate-all-around nanosheet transistors. This means that the transistor’s gate wraps around the channel on every side, giving it better control and reducing power leakage at tiny sizes.
TSMC says N2 can offer 10–15% more speed at the same power, or 25–30% lower power use at the same speed, compared with its N3E process. But the M5 uses the newer N3P process, not N3E, so the actual M5-to-M6 improvement is likely to be smaller than those figures suggest.
The M6 is a broad but fairly modest upgrade. It improves the CPU, GPU, Neural Engine, and memory bandwidth, rather than delivering a dramatic gain in one area. The M5’s biggest leap was in AI-focused GPU performance, thanks to Neural Accelerators built into each GPU core. The M6’s reported 1.2× multithreaded CPU gain and 10% increase in memory bandwidth are good refinements rather than step-changes.
Single-threaded performance is the main exception. Some tasks cannot be split across many CPU cores, including code compilation, file indexing, image editing, and parts of agentic AI workflows. These tasks depend heavily on the speed of one core, and the M6’s new “super cores” are designed to improve that directly. A doubled Neural Engine should also help with local AI models, while the larger GPU can process prompts faster.
For everyday work and general responsiveness, the difference will probably be difficult to notice. The M5 already has more than enough performance for normal use, so there is little general-purpose reason to upgrade from an M5 to an M6.
The more consequential question for buyers is where the M6 sits in the lineup, because it is not part of a straightforward replacement for the M5 family. Bloomberg‘s Mark Gurman reported in July that Apple has no plans to release “M6 Pro,” “M6 Max,” or “M6 Ultra” chips, having decided to accelerate development of the AI-optimized M7 generation. The new Mac mini illustrates this point, since its higher-specification configuration uses the M5 Pro. That makes the M6 the first of its kind to not have higher-end variants, and it means the M5 Pro, M5 Max, and M5 Ultra remain the chips to buy if you need anything more than base-tier performance.
The dual Neural Engine and 2nm process give the M6 headroom for on-device AI tools that grow more demanding, but the M7 is expected in the first half of 2027 with neural processing upgrades that prompted Apple to cut the M6 lineup short. If your workloads are AI-heavy enough that the M6’s gains matter to you, the chip designed for exactly that is less than a year away.
The M6 chip is currently available only in the new Mac mini, which starts at $899 and ships on September 22. M6 versions of the MacBook Pro and iMac are expected to be announced in October. The M5 chip remains available in the 14-inch MacBook Pro, the latest iPad Pro, and the Apple Vision Pro, with M5 Pro and M5 Max in the higher-end MacBook Pro models and M5 Max and M5 Ultra in the new Mac Studio.