#2017 macbook air 13 inch used for mac#
#2017 macbook air 13 inch used pro#

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 selected industry-standard benchmarks.

Testing conducted by Apple in October 2020 using pre-production 13-inch MacBookВ Pro systems with AppleВ M1В chip and 16GB of RAM.

*Listed pricing is Maximum Retail Price (inclusive of allВ taxes).

For more information, visit the AppleВ Store forВ Education.

вЂЎEducation pricing is available to current and newly accepted university students, parents buying for university students, and teachers and staff at all levels.

Have a question? Call a Specialist or chatВ online. ML accelerators The two dedicated ML accelerators are built for fast matrix multiplication, executing up to 1 trillion operations per second - perfect for low-latency ML tasks that donвЂ™t require the massive power of the NeuralВ Engine. The CPU, GPU and NeuralВ Engine are each designed for different types of machine learning workloads - and the ML performance controller distributes ML tasks to the right places to maximise performance. Optimised for machine learning The entire M1 chip is engineered for machine learning.

#2017 macbook air 13 inch used pro#

Neural Engine The dedicated 16вЂ‘core Neural Engine in the M1 chip can execute up to a staggering 11В trillion operations per second, powering workflows you couldnвЂ™t imagine before - like enabling the djay Pro AI app to isolate instrumentals and vocals of any song in realВ time. And that data is processed on device to protect your privacy - all at lightning speed. 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 analyse audio to recognise laughter, applause and more.

#2017 macbook air 13 inch used 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 eвЂ‘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.ДЇour 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, plugвЂ‘ins and virtual instruments. Compile in Xcode in significantly less time. 8-core CPU The powerful 8-core CPU in M1 combines four performance cores and four efficiency cores that work together to tackle demanding multi-threaded tasks, resulting in a quantum leap in performance at a fraction of the power - and a significant boost to battery life.ДЇour performance cores Our high-performance core is the worldвЂ™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.