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.The last month’s payment for each product will be the product’s purchase price, less all other payments at the monthly payment amount. ACMI is not available for purchases made online at special storefronts. See the Apple Card Customer Agreement for more information. Taxes and shipping are not included in ACMI and are subject to your card’s variable APR. ** Monthly pricing is available when you select Apple Card Monthly Installments (ACMI) as payment type at checkout at Apple, and is subject to credit approval and credit limit.For more information, visit /us-hed/shop. Have a question? Call a Specialist or chat online.Įducation pricing is available to current and newly accepted college students and their parents, as well as faculty, staff, and homeschool teachers of all grade levels. 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.
#Macbook pro 2013 specs core i7 for mac
The magic of machine learning The machine learning technologies in the M1 chip open up a world of possibilities for Mac apps.
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