HiSilicon Kirin 985 5G vs HiSilicon Kirin 9000 5G

The HiSilicon Kirin 985 5G and the HiSilicon Kirin 9000 5G are two powerful processors with impressive specifications. Let's compare their key features.

In terms of CPU cores and architecture, the Kirin 985 5G boasts a configuration of 1x 2.58 GHz Cortex-A76, 3x 2.4 GHz Cortex-A76, and 4x 1.84 GHz Cortex-A55 cores. On the other hand, the Kirin 9000 5G offers a more advanced setup with 1x 3.13 GHz Cortex-A77, 3x 2.54 GHz Cortex-A77, and 4x 2.05 GHz Cortex-A55 cores. This indicates that the Kirin 9000 5G has a higher clock speed, potentially resulting in faster and more efficient performance.

Both processors utilize the ARMv8.2-A instruction set, ensuring compatibility with the latest software and applications. Additionally, the Kirin 985 5G and the Kirin 9000 5G have 8 cores, allowing for multitasking and smooth operation.

One notable difference between the two processors is their lithography. The Kirin 985 5G is built on a 7 nm process, while the Kirin 9000 5G utilizes a more advanced 5 nm process. A smaller lithography generally results in improved power efficiency and better thermal performance.

When it comes to neural processing capabilities, the Kirin 985 5G features the Ascend D110 Lite and Ascend D100 Tiny, utilizing the HUAWEI Da Vinci Architecture. On the other hand, the Kirin 9000 5G incorporates the Ascend Lite (2x) and Ascend Tiny (1x) with the HUAWEI Da Vinci Architecture 2.0. These neural processing units enhance AI performance, enabling tasks such as image recognition and voice control to be processed quickly and efficiently.

In terms of power consumption, both processors have a TDP of 6 Watts, which indicates a relatively low power requirement. This makes them suitable for power-efficient devices.

Overall, while the Kirin 985 5G is a capable processor, the Kirin 9000 5G surpasses it in several aspects. With its higher clock speed, smaller lithography, and advanced neural processing units, the Kirin 9000 5G offers improved performance and efficiency. However, it's worth noting that real-world performance may also depend on other factors such as software optimization and device implementation.