Just the previous month, Apple introduced the A14 Bionic chipset, and now the company is planning to launch the M1 Apple Silicon chips for Mac. Johnny Srouji revealed the first silicon chipset for Mac.
The M1 will be one of the biggest if not the biggest output and power efficiency strides for Apple hardware in a single generation. It is a System-on-a-chip(SoC), meaning it has multiple Chips for performing various tasks. It is assembled using a 5-nanometer process. On top of that, the M1 packs 16 billion transistors. The result is a highly power-efficient chip that can offer impressive efficiency for Mac laptops while retaining the extended battery life.
Apple M1’s CPU
The M1 chip from Apple features 8-core, which Apple is promoting as the highest-performance CPU they’ve ever designed. Notably, the processors have eight cores divided into two categories: four for high performance and four for high efficiency. However, this is not something new. Apple has been using for years its A-series chips to fuel iPhones and iPads efficiently. According to Apple, when running at 10 watts, the M1 chip will run at double the speed of the new PC laptop chip.
Nevertheless, we have to wait for some more time to get to know the latest M1-powered Macs’ benchmarks. Only after that, we could be sure if Apple’s claims are correct. That said, these numbers sound extremely impressive. All-in-all, we expect the latest M1-powered MacBook Pro and Mac mini to have top-notch speeds.
Apple M1’s GPU
The M1 features integrated graphics features eight cores. The 8-core version will run nearly 25,000 threads at a time. It is one of the reasons that Apple claims it to be the best-integrated graphics on a personal computer in the world. Unsurprisingly, the M1 GPU works extremely efficiently as well.
Apple M1’s Neural Engine
On the Apple M1, a 16-core Neural Engine is also included to target operations of machine learning. It is capable of conducting up to 11 trillion operations per second. Moreover, Apple claims that the enhancements make 15x faster performance in machine learning tasks compared to current-generation high-performance notebooks.
In modern technical workflows, machine learning tasks are growing rapidly. In addition to that, machine learning enhances speed when using apps such as Final Cut Pro, Adobe Photoshop, Pixelmator Pro, and many others.
Apple M1’s Secure Enclave
Apple’s Secure Enclave is the final significant chip installed into the M1. As for running macOS Big Sur, the Secure Enclave manages security-critical operations such as authentication and file encryption. Plus, it will also allow hardware-verified to secure booting. For years, Apple has been building Safe Enclaves into its iPhone and iPad. A-series chips, and has also included them with their T-Series chips in recent Macs.
Apple M1’s Unified Memory Architecture
Unified memory architecture (UMA) is one of the reasons Apple’s M1 chip is able to reach such blazingly fast speeds. This implies that the same pool of memory is used by each component of the chip (CPU, GPU, Neural Engine, etc). Traditional architectures demand that data between different memory pools be copied back and forth, which inevitably slows down operations.
According to Apple, one of the direct effects of this move is 3.9x faster video processing and faster image processing. In terms of image processing, the M1 MacBook Air is 7.1x faster when compared to a current-generation MacBook Air running an Intel i7 1.2GHz quad-core processor.