Apple's new M1 chip-powered MacBook is a machine learning beast machine Part 1 (Comparison with CreateML) Suggested articles for you

By : ilikephone / On : 04/12/2022

The author, Daniel Bourke, is a machine learning engineer living in Australia and has posted various articles on learning machine learning on Medium, some of which are published as AINOW translation articles. . In his Medium post at the end of December last year, "Apple's new M1-chip MacBook is the beast machine for machine learning," he published benchmarks for AI tasks using the M1-chip MacBook. In November 2020, Apple announced the company's genuine chip "M1 chip" and the MacBook Air and 13-inch MacBook Pro equipped with it. In addition to demonstrating amazing performance on the CPU and GPU, the chip was said to be optimized for machine learning execution by implementing the Neural Engine. To confirm this explanation, Bourke actually measured its performance. He prepared a MacBook Air with an M1 chip, a 13-inch MacBook Pro with an M1 chip, and a 16-inch MacBook Pro with an Intel chip, and performed the following three experiments (details of the experimental results are in the article below). ).

From the above results, he concludes that the Intel-chip 16-inch MacBook Pro is no longer obsolete (even with increased specs) compared to the M1 chip-equipped MacBook. Apple has announced that it will develop models equipped with the company's chips for all MacBooks, iMacs, and even Mac Pros. Therefore, the company's PC share in machine learning model development may increase in the future.

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In the first part of the article below, I will explain the overview of the comparative experiment and the results of Experiment 1 and Experiment 2.

In addition, the following article text was translated after contacting Daniel Bourke directly and obtaining translation permission. In addition, the contents of the translated articles are his own views, and do not represent any particular country, region, organization or group, nor do they represent the principles of the translator or the AINOW editorial department.