Apple officially launched the self-developed desktop processor M1 at the latest press conference. This processor is specially prepared by Apple for MacBook series devices.
The company has previously revealed that it will gradually abandon Intel’s traditional architecture processors, and then MacBook will transition to ARM architecture desktop processors.
As we all know, Apple is strong in chip research and development. The M1 processor launched by Apple this time can also directly change our view of ARM processors.
The more distinctive feature of the Apple M1 processor is that it directly integrates the CPU, GPU, and cache, and integrates 16 billion transistors on the coin-sized core.
The M1 chip includes an 8-core CPU processor, an 8-core GPU processor, a 16-core neural engine, and a floating-point operation speed of up to 11 trillion operations per second.
If you know the A14 chip, you will find that the M1 chip is even higher than the A14 configuration. For example, the A14 is a 4-core GPU and the number of transistors is 11.8 billion.
The processor supports the latest Thunderbolt/USB 4 controller, media codec engine, machine learning acceleration, and performs better than other processors under the same power consumption.
Apple has emphasized neural engines and machine learning capabilities in new processors launched in recent years. Of course, Apple mentions machine learning every time it has a purpose.
That is, it is difficult for the computing power of mobile processors to be greatly improved, and with the help of neural engines and machine learning, it is possible to find other ways to improve performance.
Machine learning technology can help the chip process more computing content and speed up computing. In this way, Apple hopes to lead the competition in terms of performance.
At the press conference, even Apple said that this processor is more powerful than the latest computer processors in the industry, and its graphics processing capabilities are also significantly ahead of its peers.