Qualcomm Snapdragon 8 Elite vs Google Tensor G2

The Google Tensor G2 is a mobile System-on-a-Chip (SoC) developed by Google for its devices, based on an ARM architecture.

It is typically found in Pixel smartphones and aims for seamless integration into the Google ecosystem, with a particular focus on artificial intelligence and machine learning. Manufacturing takes place using a 5nm process. The internal graphics unit is an ARM Mali-G710 MP7, responsible for graphics output.

The maximum memory bandwidth is 53 GB/s. The Qualcomm Snapdragon 8 Elite is a powerful mobile System-on-a-Chip from Qualcomm, designed for premium Android devices.

It is engineered for high overall performance in demanding applications. The manufacturing of this chip utilizes a more advanced 3nm process, which typically enables higher energy efficiency. The internal graphics unit is a Qualcomm Adreno 830. The maximum memory bandwidth is 77 GB/s. In a comparison of single-core and multi-core performance in benchmarks, the Qualcomm Snapdragon 8 Elite shows significantly higher performance than the Google Tensor G2.

In both single-core and multi-core scenarios, the Snapdragon 8 Elite noticeably outperforms the Tensor G2, indicating superior computing power for general tasks and demanding applications. In gaming scenarios, the Qualcomm Snapdragon 8 Elite is expected to offer better performance thanks to its Qualcomm Adreno 830 graphics unit and higher memory bandwidth of 77 GB/s.

Adreno GPUs are known for their strong graphics performance in mobile devices, while the ARM Mali-G710 MP7 of the Google Tensor G2, with 53 GB/s memory bandwidth, provides solid but generally lower gaming performance. Regarding power consumption and thermal design power (TDP), no specific values are available.

However, the Qualcomm Snapdragon 8 Elite benefits from its more advanced 3nm manufacturing process compared to the Google Tensor G2's 5nm process. This potentially indicates higher energy efficiency and/or the ability to deliver higher performance within similar thermal limits.

A direct assessment of price-performance ratio and market prices is difficult, as both processors are sold as integrated SoCs in mobile devices, not as separate desktop CPUs. The total costs are thus tied to the respective end device. In summary, the Google Tensor G2 offers strong integration into the Google ecosystem and is particularly optimized for AI and ML tasks.

The Qualcomm Snapdragon 8 Elite, on the other hand, stands out for superior raw performance in CPU and GPU tasks. For use cases requiring peak performance in gaming and general computing load, the Qualcomm Snapdragon 8 Elite is the better choice. For users who value deep software integration and AI capabilities, the Google Tensor G2 is a good option.