"M1 PRO" and "M1 MAX" are extremely reasonable about what evolved and what evolved in the end: Masaichi Honda's crossover digital (page 1/4)
In June last year, Apple announced that it switched from Intel chip to a proprietary design chip of SoC (System on a chip) used for Mac.The new 14 -inch and 16 -inch "MacBook Pro" announced this time, and the new SOC "M1 PRO" and "M1 MAX", which are installed on them, will be the intermediate point of the two -year migration plan since the end of last year.。
新しい14インチと16インチのMacBook Proが搭載するApple独自Socの「M1 Pro」と「M1 Max」Here, we will summarize information about the SOC design of M1 Pro and M1 MAX, which has been revealed in interviews after the announcement.In fact, the performance when installed in the MacBook Pro is considered to be optimized for each system, so I would like to reveal it in the actual review of the actual machine.
M1 Proの特徴(発表会の配信動画より)M1 Maxの特徴(発表会の配信動画より)In conclusion, M1 Pro and M1 MAX are all designed for professionals used by media creators that require high processing throughput.For users who want to maximize the GPU performance and video processing performance, M1 Max will be suitable for other professional clees.
It is like a super sports car that pursues a road that other companies never proceeded if the concept of the M1 was thoroughly expanded while facing the problem of expanding the Die area of the SoC.
M1、M1 Pro、M1 Maxのサイズ比較。ダイ面積は拡大しており、トランジスタ数はそれぞれ160億個、337億個、570億個だ。M1 MaxはM1の3.5倍、M1 Proの1.7倍となるThe design concept is common, and each processing circuit design follows the M1, but as described later, the actual performance has been accurately improved.
On the other hand, general mobile PC users feel that M1 is more suitable.
First, from the part that takes over the M1.This is not a bad story, even though it is the same as M1.Even in components that seem to be the same, the performance when combined is devised so that the performance is high, or adjusted so that the overhead does not occur.
The 16 -core Neural Engine is the same as the M1.The calculation performance of 11 trillion times per second is common to the A14 Bionic, which is used by the iPhone 12 series.Machine learning processing through Core ML has been improved compared to M1, which has improved CPU and GPU performance, and there is no change in Neural Engine itself.
M1 ProのNeural Engineは左下に位置する。M1と同一で、毎秒11兆回の演算性能だ(発表会の配信動画より)Nevertheless, it is dramatically improved compared to the Intel chip era, and according to Apple, it is nine times compared to the Intel Core i9 model adopted by the conventional 16 -inch MacBook Pro.This performance is improved dramatically with automatic processing through Core ML (the recognition and following recognition of the face and subjects in video editing software, the separation of the background and the subject).
I would like to check the difference in application -level experiences on the actual MacBook Pro, but although the circuit IP used in the M1 is laid out, there are many parts that have better results in actual apps.
The reason for this is that the shared memorials, which are common to M1, M1 Pro, and M1 MAX, have been greatly enhanced.In fact, the high -performance / high -efficiency CPU cores, GPU core, etc. of M1 Pro, M1 MAX, etc. are common to M1, but the process throughput in the actual app will have been raised.
共有メモリアーキテクチャの大幅強化とは?1|2|3|4次のページへ