References for Apple’s new fourth generation iPad Air have surfaced online, indicating that the A14 Bionic is expected to be used in the “iPhone 12” series, providing more performance than the powerful A13 Bionic and iPad Pro’s A12Z Bionic.
Malcolm Owen for AppleInsider:
In benchmarks discovered by Twitter user “Ice Universe” offers what may be the first benchmark for the tablet, and a first glimpse of what could be the driving force for the iPhone models in 2020.
A14’s first Geekbench 5 results appeared, single-core 1583, multi-core 4198, still the king. pic.twitter.com/HXMgEfjSuW
– Isunivers (@UniverseIce) October 3, 2020
The reference shows the chip as a 6-core model with a base frequency of 2.99 GHz and 3.66 GB of memory. The tablet received 1583 points for single-core tests, while for multi-cores it scored 4198 points, under Geekbench 5.2.3.
Comparing the results to Geekbench’s list of iOS and iPadOS devices, single-core performance is higher than the 1327 observed in the iPhone 11 Pro, which uses the 2.7 GHz A13 Bionic. On the multi-core side, the A14 also surpasses the 3,300 that the A13 Bionic achieves in the same test, but is still beaten by the A12Z Bionic which was used in the 12.9-inch iPad Pro, which scored 4644 points.
MacDailyNews Take: Apple thus describes the A14 Bionic, “Using cutting-edge 5-nanometer process technology, the A14 Bionic is packed with 11.8 billion transistors for increased performance and energy efficiency in almost every part of the chip. This latest generation A-Series chip has a new 6-core design for a 40 percent increase in CPU performance, and a new 4-core graphics architecture for a 30 percent improvement in graphics. To deliver groundbreaking machine learning features, the A14 Bionic includes a new 16-core Neural Engine that is twice as fast, capable of performing up to 11 trillion operations per second, and takes machine learning apps to a whole new level. The A14 Bionic 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 enables powerful experiences on the device for image recognition, natural language learning, motion analysis and more. “