HiSilicon Kirin 810 vs HiSilicon Kirin 955

The HiSilicon Kirin 810 and the HiSilicon Kirin 955 are two processors designed by Huawei's semiconductor department. Let's compare their specifications to understand their differences.

Starting with the HiSilicon Kirin 810, this processor features an architecture that includes 2x 2.27 GHz Cortex-A76 cores and 6x 1.88 GHz Cortex-A55 cores. It also uses the ARMv8.2-A instruction set and has a lithography of 7 nm. With a total of 8 cores, this processor offers a balance between power and efficiency. It has a TDP (Thermal Design Power) of 5 Watts, indicating that it operates at a low power consumption level. Additionally, the HiSilicon Kirin 810 includes the Ascend D100 Lite neural processing unit, which utilizes Huawei's Da Vinci architecture for improved artificial intelligence capabilities.

On the other hand, the HiSilicon Kirin 955 comes with a different set of specifications. It has an architecture that consists of 4x 2.5 GHz Cortex-A72 cores and 4x 1.8 GHz Cortex-A53 cores. This processor uses the ARMv8-A instruction set and has a lithography of 16 nm, which is slightly less advanced compared to the 7 nm of the Kirin 810. With a total of 8 cores, this processor provides a decent level of performance but may not be as efficient as the Kirin 810. Similar to the Kirin 810, the TDP of the Kirin 955 is also 5 Watts.

In terms of the number of transistors, the HiSilicon Kirin 810 stands out with 6900 million transistors, while the Kirin 955 has 2000 million transistors. The higher number of transistors typically indicates a more complex and advanced design, suggesting that the Kirin 810 may have a technological edge over the Kirin 955.

Overall, while both processors offer a total of 8 cores and have the same TDP, the HiSilicon Kirin 810 appears to have a more advanced architecture, a smaller lithography, and a significantly higher number of transistors compared to the HiSilicon Kirin 955. These specifications indicate that the Kirin 810 may offer better performance and power efficiency, particularly in tasks that require artificial intelligence capabilities.

It's important to note that specifications alone do not provide a complete picture of a processor's performance, as real-world results can be influenced by various factors such as software optimization and other hardware components.