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Tested with pre-release Logic Pro 10.6.0 with project consisting of multiple tracks, each with an Amp Designer plug-in instance applied. Testing conducted by Apple in October 2020 using pre-production 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.Performance tests are conducted using specific computer systems and reflect the approximate performance of MacBook Pro. Tested with pre-release Affinity Photo 1.9.0.199 using the built-in benchmark version 1900. Performance tests are conducted using specific computer systems and reflect the approximate performance of MacBook Pro. Tested with pre-release Final Cut Pro 10.5 using a 55-second clip with 4K Apple ProRes RAW media, at 4096x2160 resolution and 59.94 frames per second, transcoded to Apple ProRes 422.
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Comparison made against the highest-performing CPUs for notebooks commercially available at the time of testing.
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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.
Apple macbook pro 2016 13 inch for mac#
The magic of machine learning The machine learning technologies in the M1 chip open up a world of possibilities for Mac apps.