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Apple to Skip M6 Pro and M6 Max, Jumps to M7 Series
by AleksandarK Today, 17:02 Discuss (0 Comments) · 2026-06-26 · via TechPowerUp

Apple has reportedly canceled its M6 Pro and M6 Max processors, according to a recent note from Bloomberg's Apple insider Mark Gurman. Behind the scenes, there is a significant shift in Apple's silicon rollout strategy. The company is postponing the launch of its higher-end M6 SoC variants, like the M6 Pro and M6 Max, and is instead moving directly to the M7 processor family. Currently, Apple is testing the M6 SoC in the base MacBook Pro model, with many improvements in CPU microarchitecture and NPU performance for local AI processing. Reportedly, memory is also being upgraded for higher bandwidth, now targeting around 200 GB/s, up from 123 GB/s in the current base M5 SoC. The integrated GPU will see a 20% increase in core count, featuring 12 GPU cores in the M6, which will be a noticeable improvement from the current 10-core configuration in the M5.

Regarding the more powerful versions of the M6, such as the M6 Pro and M6 Max, this will be the first generation of Apple M-Series chips to lack the Pro and Max versions, as these will appear in the next-generation M7 series coming next year. Apple is planning a complete overhaul of the SoCs to bring major performance increases for on-device AI processing, which will first appear with the M7 SoCs. Next year's base M7 processor is expected to arrive in the first half of 2027 and will also upgrade memory bandwidth to about 240 GB/s. As a reminder, this is supposed to be the first Intel-manufactured Apple Silicon design, utilizing 18A-P node. The M7 Pro and M7 Max will arrive in late 2027 with much higher bandwidth and performance. An M7 Ultra version will follow in 2028 for Mac Studio.

Regarding an update to Mac Studio, the Bloomberg report claims that Apple is testing the M5 Ultra SoC in the Mac Studio, featuring about 36 CPU cores, 80 GPU cores, and approximately 768 GB of memory. This is one of the most powerful computing configurations in the consumer space, but with that much memory, it won't come cheap. Apple will target local AI workloads and professional content creation with this configuration, but that sector is already accustomed to higher pricing.