Google Tensor vs Apple A19

The Google Tensor is a System-on-a-Chip (SoC) specifically developed for Google's Pixel smartphones, focusing on on-device artificial intelligence and machine learning.

It is manufactured using the 5 nm process and is based on the ARM G1 architecture. With an 8 MB Level 2 cache and a maximum memory bandwidth of 53 GB/s, it provides a solid foundation for mobile use. The integrated graphics unit is an ARM Mali-G78 MP20, suitable for mobile gaming applications. In performance tests, the Google Tensor shows good single-core performance and adequate multi-core performance.

Its strength lies in optimization for intelligent software functions, making it a good choice for users focused on AI-centric applications. As an integrated SoC, no separate market prices are available. The Apple A19 is a future high-performance SoC designed by Apple, expected to be used in upcoming generations of iPhones and iPads.

It is designed to deliver the highest overall performance in the mobile segment. Manufacturing takes place using a more advanced 3 nm process, promising higher energy efficiency and density. This SoC features a 6 MB Level 2 cache and a powerful integrated graphics unit named Apple A19 (5 GPU Cores).

Its maximum memory bandwidth is 68 GB/s. In performance tests, the Apple A19 demonstrates significantly superior single-core and multi-core performance compared to the Google Tensor. This positions it as a superior option for demanding applications and gaming, while also excelling in energy efficiency.

As an integrated SoC, no separate market prices are available.