The Chinese firm Huawei has just opened the GPU Turbo beta programme for the specific models. The Update is currently available for the specific models including Mate 9 full Netcom version MHA-AL00, mobile customized version MHA-TL00, Mate 9 Pro full Netcom version LON-AL00 (including Porsche design).
Furthermore, P10 series adds P10 full Netcom version VTR-AL00, full Netcom mobile version VTR-TL00, P10 Plus full Netcom version VKY-AL00, P10 Plus full Netcom mobile version VKY-TL00. If you are holding an above-mentioned device, you can apply for the GPU Turbo upgrade for early access. If you interested and want early access, then you have to sign up on Huawei Club’s official website using below links:
Huawei P10/P10 Users – Sign Up Here
Mate 9/9 Pro users – Sign Up Here
Application Requirments
- Please make sure your phone does not have ROOT.
- To register for the P10/P10 Plus internal testing activity, please make sure that the current mobile phone version is on the 8.0.0.359 version, Mate 9 / Mate 9 Pro user requires EMUI version 8.0.0.360. (version number view method: Settings > System > About Mobile Phone > Version Number)
- The version cannot be rolled back before the end of this internal test, and the official version will be pushed after the end of the internal test. Please register carefully.
- Please be sure to submit the beta club beta account correctly, otherwise, the application cannot be approved.
What is GPU Turbo Technology?
The GPU Turbo is a technology that enhances the performance of mobile GPUs and increases graphics processing efficiency by 60% as per the company’s claim. More importantly, GPU Turbo reduces power consumption while improving image quality and performance, and breaks the barrier of performance and energy consumption.
It is an EMUI based technology that opens up the processing bottleneck between EMUI operating system and GPU & CPU. All in all, these are the operating system based optimizations, that improves the device performance. If you more often play games or perform any other GPU intensive task, this could significantly improve your device performance.
