THE much-awaited iPhone 12 will be launched on Tuesday, Oct 13, 2020, during Apple's "Hi-Speed" event. While nothing much is known about the number of models the Cupertino-based company will launch this time, it is rumoured that there will at least be three to four models coming. Normally, Apple will launch three variants of iPhones, like the iPhone 11 series.
Based on its "Hi-Speed" theme, the upcoming models of iPhones are expected to focus on processor speed and the power of Apple's new A14 Bionic chip, which it first introduced in the new line of iPads at the Time Flies event last month.
The A14 Bionic chip, which is the company's most powerful chipset to date.
It is the first 5nm Silicon-on-Chip (SoC) to make it to a consumer device. The move to this more mature manufacturing process allows A14 Bionic to bring in serious gains in performance over last year's A13 Bionic, all while remaining more energy-efficient than before.
Currently, the fastest CPUs available in smartphones today are Apple's A13 Bionic and the Qualcomm Snapdragon 865 and its variants which are 7nm chips.
However, shrinking a chip by a nanometer or two will make it faster and more power efficient.
The chip is packed with 11.8 billion transistors for increased performance and power efficiency in nearly every part of the chip. That's about 40 percent more than the 8.5 billion in the A13 Bionic chip used in the iPhone 11.
This chip features a new 6-core design and a new 4-core graphics architecture for a 30 percent improvement in graphics.
To deliver breakthrough machine learning capabilities, the A14 Bionic includes a new 16-core Neural Engine that is twice as fast, and capable of performing up to 11 trillion operations per second, taking machine learning apps to a whole new level. It also includes second-generation machine learning accelerators in the CPU for 10 times faster machine learning calculations. This combination of the new Neural Engine, CPU machine learning accelerators, and high-performance GPU is said to enable powerful on-device experiences for image recognition, natural language learning, analysing motion, and more.