HiSilicon Kirin 980 vs Unisoc Tiger T700

When comparing the HiSilicon Kirin 980 and the Unisoc Tiger T700 processors, several key specifications stand out.

Starting with the CPU cores and architecture, the Kirin 980 boasts an architecture of 2x 2.6 GHz – Cortex-A76, 2x 1.92 GHz – Cortex-A76, and 4x 1.8 GHz – Cortex-A55, giving it a total of 8 cores. On the other hand, the Tiger T700 features an architecture of 2x 1.8 GHz – Cortex-A75 and 6x 1.8 GHz – Cortex-A5, resulting in the same number of cores as the Kirin 980.

In terms of instruction set, the Kirin 980 uses ARMv8-A, while the Tiger T700 utilizes ARMv8.2-A. This difference in instruction sets may impact the performance and compatibility of the processors with various applications and software.

Moving on to lithography, the Kirin 980 impresses with a 7 nm lithography, which indicates a more advanced manufacturing process. This translates to better power efficiency and potentially improved performance. In contrast, the Tiger T700 has a 12 nm lithography, which is less advanced than the Kirin 980.

The number of transistors is another notable specification. The Kirin 980 boasts 6900 million transistors, indicating a higher level of complexity and potentially better performance. However, the number of transistors for the Tiger T700 is not provided in the given information.

In terms of thermal design power (TDP), the Kirin 980 has a TDP of 6 Watt, while the Tiger T700 has a slightly higher TDP of 10 Watt. A lower TDP generally signifies better power efficiency.

Lastly, the Kirin 980 incorporates the HiSilicon Dual NPU for neural processing, providing enhanced capabilities for machine learning tasks. No information about neural processing is given for the Tiger T700.

In summary, the HiSilicon Kirin 980 outperforms the Unisoc Tiger T700 in several key areas, including lithography, transistor count, and neural processing capabilities. However, it is important to note that the overall performance and user experience also depend on various other factors such as software optimization, GPU, and memory.