Apple A16 Bionic vs Google Tensor G2

The Apple A16 Bionic and the Google Tensor G2 were both released in 2022, with Apple serving the premium segment and Google serving its in-house Pixel series.

The Apple A16 Bionic is based on the A16 architecture, is manufactured using the modern 4-nanometer process, and has six cores. In contrast, the Google Tensor G2 uses the G2 architecture, is produced using the 5-nanometer process, and uses an eight-core structure. In benchmarks, the Apple A16 Bionic achieves significantly higher results in both single-core and multi-core performance compared to its ARM-based competitor.

In gaming scenarios, the Apple A16 Bionic with its integrated Apple A16 (5 GPU Cores) graphics offers more stable performance than the ARM Mali-G710 MP7 of the Google Tensor G2. Apple's architecture works more efficiently, leading to lower thermal stress in everyday use, while the Google Tensor G2 develops heat more quickly under high continuous load.

Although the memory bandwidth of the Google chip is slightly higher at 53 GB/s compared to Apple's 51 GB/s, the Apple A16 Bionic compensates for this with a massively larger total cache of 44 MB. The price-performance ratio is often more attractive for the Google Tensor G2, as the corresponding end devices are often offered at lower prices on the market.

The Apple A16 Bionic, on the other hand, offers a potentially longer useful life due to its high performance reserves. For users with a clear focus on maximum speed and efficiency, the Apple A16 Bionic is the better choice, while the Google Tensor G2 primarily convinces with its specialization in artificial intelligence and machine learning.