Apple unveiled the M6 and M5 Ultra chips on August 25, 2026, alongside new Mac mini and Mac Studio desktops. M6 is Apple's first 2-nanometer chip; M5 Ultra's four-die design lifts peak AI GPU performance up to 4.5x over M3 Ultra.
What did Apple announce with M6 and M5 Ultra, and which products use them?
Apple announced the M6 and M5 Ultra chips on its website on August 25, 2026, alongside new Mac mini and Mac Studio desktopsCITE:E1. Apple said the launch is meant to strengthen on-device artificial intelligence (AI) processing and graphics performance across its desktop lineupCITE:E1.
What core innovations define the M6 chip?
M6 is Apple's first chip built on a 2-nanometer process, pairing a 12-core CPU and 12-core GPU with dual 16-core Neural EnginesCITE:E2. Apple said this configuration lifts peak AI GPU performance by nearly 30% over the M5CITE:E2.
How much do M6's memory bandwidth and multithreaded performance improve?
M6 supports up to 32GB of unified memory with 170GB/s of memory bandwidthCITE:E3. Apple said multithreaded performance rises as much as 1.2x over M5 and as much as 2.4x over the original M1CITE:E3.
How does M5 Ultra's multi-die architecture enable higher AI performance?
M5 Ultra, positioned for professional workstations, links two dual-die M5 Max chips into a four-die package using Apple's UltraFusion technologyCITE:E4. In its top configuration, M5 Ultra offers a 36-core CPU, 80-core GPU, 1.2TB/s of unified memory bandwidth, and up to 512GB of unified memory, with peak AI GPU performance rising as much as 4.5x over M3 UltraCITE:E4.
How do the new Mac mini's M6 and M5 Pro configurations upgrade AI and specs?
The new Mac mini ships in M6 and M5 Pro versions, with the M6 model adding a Neural Accelerator to every GPU core for the first timeCITE:E5. Apple said this lifts AI performance by up to 4x and graphics performance by up to 2x over the M4 Mac mini, with 16GB of unified memory as standardCITE:E5. The M5 Pro configuration tops out at an 18-core CPU and 20-core GPU with up to 64GB of unified memory and a Thunderbolt 5 port, and the new Mac mini overall adds Wi-Fi 7, Bluetooth 6, and 2.5Gb Ethernet supportCITE:E6.
How much does Mac Studio's AI performance jump with the new M5 chips?
The new Mac Studio offers M5 Max and M5 Ultra configurations with up to 512GB of unified memoryCITE:E7. Apple said AI performance rises more than 4.3x over the previous generation, targeting professionals who train large AI models, render complex 3D scenes, or edit high-resolution videoCITE:E7.
Chip specifications at a glance
| Chip | CPU cores | GPU cores | Unified memory | Memory bandwidth | AI performance gain |
|---|
| M6 | 12 | 12 | up to 32GB | 170GB/s | GPU AI peak up to ~30% over M5CITE:E2 |
| M5 Ultra | up to 36 | up to 80 | up to 512GB | 1.2TB/s | AI GPU peak up to 4.5x over M3 UltraCITE:E4 |
Product configurations at a glance
| Product | Chip options | Unified memory (max) | Other specs | AI/graphics gain |
|---|
| Mac mini (M6) | M6 | 16GB standard | Neural Accelerator in every GPU coreCITE:E5 | AI up to 4x, graphics up to 2x vs. M4 Mac miniCITE:E5 |
| Mac mini (M5 Pro) | M5 Pro (18-core CPU, 20-core GPU) | 64GB | Thunderbolt 5, Wi-Fi 7, Bluetooth 6, 2.5Gb EthernetCITE:E6 | — |
| Mac Studio | M5 Max / M5 Ultra | 512GB | — | AI performance up over 4.3x vs. prior generationCITE:E7 |
What this means: Apple's own figures point to two distinct upgrade paths rather than one uniform leap. M6's gains center on per-core efficiency — a 2-nanometer process, dual Neural Engines, and a 170GB/s, 32GB memory ceiling — consistent with on-device inference workloads in the Mac miniCITE:E2CITE:E3CITE:E5. M5 Ultra's gains instead come from scaling the package itself: fusing two M5 Max dies raises memory bandwidth to 1.2TB/s and capacity to 512GB, which lines up with Mac Studio's reported 4.3x AI performance jump and its stated target of large-model training and 3D rendering workloadsCITE:E4CITE:E7. The Mac mini's split between a 16GB M6 tier and a 64GB, Thunderbolt-5-equipped M5 Pro tier shows Apple segmenting AI capability within a single desktop line rather than reserving it for one chip aloneCITE:E5CITE:E6.
Author's Take・EffectStory 編輯部
The headline number is architecture, not raw core count. M5 Ultra's 4.5x AI GPU gain over M3 Ultra comes from fusing two dual-die M5 Max chips into a four-die package via UltraFusion, which is what pushes memory bandwidth to 1.2TB/s and capacity to 512GB — the two figures that matter most for training large models on a desktop rather than in the cloud. M6's gains look different: a 2-nanometer process and dual 16-core Neural Engines lift AI GPU throughput by about 30% over M5, while memory stays capped at 170GB/s and 32GB, a profile suited to on-device inference rather than training. Worth watching next is how the Mac mini's two tiers diverge in practice: the M6 configuration standardizes at 16GB with per-core Neural Accelerators, while the M5 Pro configuration offers 64GB and Thunderbolt 5 — Apple is now segmenting AI capability within one desktop line rather than across separate product categories.