HiSilicon Kirin 810 vs HiSilicon Kirin 980

The HiSilicon Kirin 810 and Kirin 980 are both powerful processors designed by HiSilicon. While they share some similarities in terms of their architecture and lithography, there are also some notable differences in their specifications.

Starting with the Kirin 810, it features an architecture of 2x 2.27 GHz Cortex-A76 cores and 6x 1.88 GHz Cortex-A55 cores. This configuration provides a balance between high-performance and power efficiency. With a lithography of 7 nm, the Kirin 810 is built using advanced manufacturing processes, resulting in improved power efficiency and reduced heat generation. The processor boasts a total of 8 cores and operates on the ARMv8.2-A instruction set. It has a TDP (Thermal Design Power) of 5 Watts, indicating a lower power consumption. Additionally, the Kirin 810 utilizes Ascend D100 Lite and HUAWEI Da Vinci Architecture for neural processing, offering enhanced AI capabilities.

On the other hand, the Kirin 980 features a more diverse architecture. It has a combination of 2x 2.6 GHz Cortex-A76 cores, 2x 1.92 GHz Cortex-A76 cores, and 4x 1.8 GHz Cortex-A55 cores. This configuration provides a mix of high-performance cores for demanding tasks and power-efficient cores for lighter workloads. Like the Kirin 810, it has a lithography of 7 nm and a total of 8 cores. However, it operates on the ARMv8-A instruction set, which is slightly different from the ARMv8.2-A used in the Kirin 810. The Kirin 980 has a TDP of 6 Watts, indicating slightly higher power consumption. It also employs the HiSilicon Dual NPU for neural processing, enabling faster and more efficient AI functions.

In summary, the HiSilicon Kirin 810 and Kirin 980 are both high-performance processors with advanced manufacturing processes and a similar number of transistors. However, the Kirin 980 offers a more diverse architecture with higher clock speeds and a different instruction set. It has a slightly higher power consumption but compensates for it with the HiSilicon Dual NPU for improved AI performance. Ultimately, the choice between the two processors depends on the specific requirements and preferences of the user.