iPhone Released a New Generation of self-Developed Chip M1
Update Time: Nov 11, 2020 Readership: 3313
In the early hours of this morning, iPhone launched a new generation of self-developed chip M1, as well as three accompanying computer products, MacBook Air, MacBook Pro, and Mac mini. The hardware, software, and products are very shocking.
Looking at the hardware first, the core is the M1 chip. The iPhone M1 is manufactured using the latest TSMC 5nm process and integrates up to 16 billion transistors. It is a complete SoC that integrates all related modules and uses Iphone's own packaging method.
Not only CPU, GPU, neural engine, cache, memory controller, storage controller, Thunderbolt interface controller, but also DRAM memory, all connected through the Fabric high-speed bus, which can bring higher bandwidth and lower latency .
Its CPU has 8 cores, 4 high-performance large cores, 4 high-performance small cores, 4 large cores share 12MB L2 cache, and 4 small cores share 4MB L2 cache. M1 can provide 2 times the performance of the latest notebook chips under 10W power consumption, and its performance is as high as 3.5 times that of the previous generation of Iphone products, and it is more power-efficient, with an energy efficiency ratio of up to 3 times.
The GPU is also 8-core, including 128 execution units, floating-point performance of up to 2.6TFlops, texture filling rate of 82 billion per second, pixel filling rate of 41 billion per second, it can play multiple 4K videos smoothly, and can render 3D scenes. Its performance under 10W power consumption is twice that of the latest notebook chips.
In addition, there is a 16-core neural network engine that can increase the speed by up to 15 times. These can be used for video analysis, speech recognition, and image processing.
For the new M1 chip, iPhone introduced a new macOS Big Sur system, which was developed specifically to unlock the potential of the M1 chip, bringing a number of major performance improvements and wonderful features.
Simply put, the existing apps on macOS can continue to be used, and you can also use iPhone and iPad apps directly on macOS Big Sur. At the same time, it also supports the use of Rosetta 2 to run traditional x86 applications in a virtualized manner. It is said that some x86 applications perform faster in the virtualized state than in the native state.