Apple Introduces iPhone 12 and iPhone 12 Mini

iPhone 12 models introduce a new design with innovative features, including A14 Bionic, an advanced dual-camera system, and a Super Retina XDR display.

Recently, Apple introduced iPhone 12 and iPhone 12 mini with 5G technology.
The 6.1-inch iPhone 12 and 5.4-inch iPhone 12 mini feature edge-to-edge Super Retina XDR displays, and a new Ceramic Shield front cover. The new models also features the A14 Bionic, which Apple says is the fastest chip in a smartphone, powers every experience on iPhone 12.
 Source: Apple
iPhone 12 and iPhone 12 mini also features an advanced dual-camera system that delivers new computational photography features and the highest quality video in a smartphone.
Source: Apple
iPhone 12 models also pack MagSafe, which offers high-powered wireless charging and an all-new ecosystem of accessories that easily attach to iPhone.
iPhone 12 models will be available in five aluminum finishes, including blue, green, black, white, and (PRODUCT)RED. Pre-orders for iPhone 12 begin Friday, October 16 and iPhone 12 mini will be available for pre-order beginning Friday, November 6.
According to Apple iPhone 12 models feature the most 5G bands on any smartphone and offer the broadest 5G coverage worldwide. In the US these models support millimeter wave, the higher frequency version of 5G. This allows iPhone 12 to reach speeds up to 4Gbps, even in densely populated areas. The Smart Data mode extends battery life by intelligently assessing 5G needs and balancing data usage, speed, and power in real-time.
Apple said that A14 Bionic is the first chip in the smartphone industry which is built on 5-nanometer process. "A14 Bionic has the fastest CPU and GPU by up to 50 percent compared to the fastest competing smartphone chips, enabling console-quality gaming experiences, powerful computational photography, and more."
A14 Bionic features a 16-core Neural Engine that gives an 80 percent increase in performance. It is capable of completing 11 trillion operations per second, enabling improved performance on even the most intense ML models.