Science & Tech · Gadgets & EVs · 1 hr ago
M6 MacBook Pro is expected to bring faster AI processing and better efficiency
Apple is expected to launch a new 14-inch MacBook Pro later this month, keeping the current design.
Its M6 chip is expected to have 12 CPU cores and 12 GPU cores, compared with 10 of each in the M5.
The chip also has two 16-core Neural Engines, which Apple says can speed up AI tasks that run on the device.
For everyday users, the extra processing power could help demanding work and AI features run faster.
The M6 is built using a new 2-nanometer process, which Apple says improves performance and power efficiency.
In a laptop, that efficiency could mean longer battery life, though Apple has not said how long the new MacBook Pro will last between charges.
Apple is expected to launch a 14-inch M6 MacBook Pro later this month, retaining the current industrial design.
The M6 chip has a Dual 16-core Neural Engine, which Apple says can provide up to twice the peak compute of previous generations.
The base M6 chip has a 12-core CPU and 12-core GPU, compared with 10 cores each in the M5.
Apple says the M6 is its first chip built on a 2nm process, bringing a major leap in performance and power efficiency.
The efficiency gains could help extend battery life in the MacBook Pro, though the article says this is not confirmed.
- Who
- Apple is expected to launch the new MacBook Pro.
- What
- A 14-inch MacBook Pro with an M6 chip and three expected upgrades.
- When
- Later this month, according to the article.
- Where
- Not stated.
- Why
- The M6 chip is expected to improve AI processing, CPU and GPU performance, and power efficiency.
This story does not have two clearly opposing sides.
The new Mac mini is the only product with an M6 chip, according to the article.
Apple is expected to launch the 14-inch M6 MacBook Pro.
- Display
- 14 inches
- Neural Engine
- Dual 16-core
- Base M6 CPU
- 12 cores
- Base M6 GPU
- 12 cores
- Manufacturing process
- 2nm
What people are saying
M6 also introduces a Dual 16-core Neural Engine, providing up to 2x the peak compute over previous generations to make on-device AI workflows run even faster.
blaze through single-threaded workloads
a major leap in performance and power efficiency











