Benchmarks for Apple’s new fourth generation iPad Air have appeared online, indicating the A14 Bionic expected to be used in the “iPhone 12” range offers more performance than the high-powered A13 Bionic and the iPad Pro’s A12Z Bionic.
In benchmarks spotted by Twitter user “Ice Universe” offers what could be the first benchmark for the tablet, and a first glimpse of what could be powering the 2020 iPhone models.
A14's first Geekbench 5 results appeared, single-core 1583, multi-core 4198, still the king. pic.twitter.com/HXMgEfjSuW
— Ice universe (@UniverseIce) October 3, 2020
The benchmark lists the chip as 6-core model with a base frequency of 2.99GHz and 3.66GB of memory. The tablet scored 1,583 points for single-core tests, while for multi-core it achieved 4,198 points, under Geekbench 5.2.3.
Comparing the results against Geekbench’s list of iOS and iPadOS devices, the single-core performance is higher than the 1,327 observed in the iPhone 11 Pro, which uses the A13 Bionic at 2.7Ghz. On the multi-core side, the A14 also outpaces the 3,300 the A13 Bionic achieves in the same test, but is still beaten by the A12Z Bionic used in the 12.9-inch iPad Pro, which scored 4,644 points.
MacDailyNews Take: Apple describes the A14 Bionic thusly, “Using breakthrough 5-nanometer process technology, A14 Bionic is packed with 11.8 billion transistors for increased performance and power efficiency in nearly every part of the chip. This latest-generation A-series chip features a new 6-core design for a 40 percent boost in CPU performance, and a new 4-core graphics architecture for a 30 percent improvement in graphics. To deliver breakthrough machine learning capabilities, 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. 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 on-device experiences for image recognition, natural language learning, analyzing motion, and more.”