The
Google Tensor, developed for Google's Pixel smartphones, focuses on AI and machine learning. It is manufactured using a 5 nm process and is based on ARM's G1 architecture.
Equipped with an ARM Mali-G78 MP20 graphics unit and 8 MB of Level 2 cache, it achieves a maximum memory bandwidth of 53 GB/s. In benchmarks, it shows solid multi-core performance.
The
Samsung Exynos 1580, produced by Samsung for their mobile devices, aims for balanced performance for everyday tasks.
Manufactured in a more advanced 4 nm process by Samsung, it utilizes the Cortex-A720/-A520 architecture. This processor integrates a Samsung Xclipse 540 graphics unit and offers a maximum memory bandwidth of 51 GB/s. In Cinebench R23, the
Samsung Exynos 1580 exhibits significantly higher single-core performance.
In a direct performance comparison, the Samsung Exynos 1580 surpasses the
Google Tensor in single-core performance in Cinebench R23. No comparable data is available for the multi-core tasks of the
Samsung Exynos 1580. Both feature integrated graphics units suitable for mobile gaming, supported by similar memory bandwidths.
The 4 nm manufacturing process of the
Samsung Exynos 1580 also promises higher energy efficiency and lower heat generation than the 5 nm process of the
Google Tensor. A price-performance evaluation is omitted as both are available as integrated System-on-Chips.
The
Google Tensor is advantageous for use cases with optimized AI performance and balanced multi-core capabilities.
The Samsung Exynos 1580 is recommended for scenarios that prioritize high single-core performance and improved energy efficiency.
Google Tensor
- Optimized AI performance
- 5 nm manufacturing process
- ARM Mali-G78 MP20 graphics unit
- Solid multi-core performance
Samsung Exynos 1580
- Higher single-core performance
- 4 nm manufacturing process
- Samsung Xclipse 540 graphics unit
- Improved energy efficiency