Performance tests are conducted using specific computer systems and reflect the approximate performance of MacBook Pro. Comparison made against the highest-performing CPUs for notebooks commercially available at the time of testing. Testing conducted by Apple in October 2020 using preproduction 13-inch MacBook Pro systems with Apple M1 chip and 16GB of RAM measuring peak single-thread performance of workloads taken from select industry-standard benchmarks, commercial applications, and open source applications.Open source project built with prerelease Xcode 12.2 with Apple Clang 12.0.0, Ninja 1.10.0.git, and CMake 3.16.5. Testing conducted by Apple in October 2020 using preproduction 13-inch MacBook Pro systems with Apple M1 chip, as well as production 1.7GHz quad-core Intel Core i7-based 13-inch MacBook Pro systems, all configured with 16GB RAM and 2TB SSD.Comparison made against high-performing CPUs for notebooks and desktops commercially available at the time of testing. Performance per watt refers to the ratio of peak CPU performance to average power consumed using select industry-standard benchmarks. Testing conducted by Apple in October 2020 using preproduction 13-inch MacBook Pro systems with Apple M1 chip and 16GB of RAM.* Some features, applications, and services may not be available in all regions or all languages.ML accelerators The two dedicated ML accelerators are built for fast matrix multiplication, executing up to one trillion operations per second - perfect for low-latency ML tasks that don’t require the massive power of the Neural Engine. The CPU, GPU, and Neural Engine are each designed for different types of machine learning workloads - and the ML performance controller distributes ML tasks to the right places to maximize performance. Optimized for machine learning The entire M1 chip is engineered for machine learning.
And that data is processed on device to protect your privacy - all at lightning speed.ġ6-core Neural Engine The dedicated 16-core Neural Engine in the M1 chip can execute up to a staggering 11 trillion operations per second, powering workflows you couldn’t imagine before - like enabling the djay Pro AI app to isolate instrumentals and vocals of any song in real time. Machine learning lets apps build and apply models based on massive amounts of data - to do things like identify friends and family in photos and videos, interpret natural language for dictation, and even analyze audio to recognize laughter, applause, and more.
2014 MACBOOK PRO 13 FOR MAC
The magic of machine learning The machine learning technologies in the M1 chip open up a world of possibilities for Mac apps.
These e‑cores are the most efficient place to run lightweight tasks, allowing the performance cores to tackle the most demanding workloads. And create stunning images in Adobe Lightroom with unprecedented speed and responsiveness.įour efficiency cores Four efficiency cores deliver outstanding performance for everyday tasks using just a tenth of the power.
Record, mix, and master professional-quality music in Logic Pro with scores of tracks, plug‑ins, and virtual instruments. Compile in Xcode in significantly less time. It combines four performance cores and four efficiency cores that work together to tackle demanding multithreaded tasks, resulting in a quantum leap in performance at a fraction of the power - and a significant boost to battery life.įour performance cores Our high-performance core is the world’s fastest CPU core when it comes to low-power silicon 3 - and M1 has four of them combining their efforts for a massive boost in performance. 8-core CPU The 8-core CPU in M1 is the highest-performing CPU we’ve ever built, by far.
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