The ARM Mali-G78MP22 is an integrated high-end graphics card for ARM based SoCs (mostly Android based). It was introduced late 2020 in the HiSilicon Kirin 9000E (e.g. Huawei MatePad Pro 12.6). It integrates 22 of the 24 possible cores and is based on the second generation of the Valhal architecture. According to ARM it offers two new features: asynchronous top level and fragment dependency tracking.
The graphics card is one of the fastest in Android devices of 2020 and therefore able to run all games fluently.
The GPU supports all modern graphics APIs like OpenGL ES 3.2, Vulkan 1.1 and OpenCL 2.0.
The ARM Mali-G76 MP16 is an integrated high-end graphics card for ARM based SoCs (mostly Android based). It was introduced early 2019 in the Kirin 990 5G and according to Huawei should be about 6% faster and 20% more efficient than a Adreno 640 in a Snapdragon 855. It integrates 16 of the 20 possible cores and is based on the second generation of the Bifrost architecture. According to ARM it offers improvements in the machine learning efficiency and a bigger tile buffer for 16x anti-aliasing. Compared to the old Mali-G72, the G76 should offer twice the performance per cluster.
The GPU supports all modern graphics APIs like OpenGL ES 3.2, Vulkan 1.0, OpenCL 2.0, DirectX 12 FL11_1 and Renderscript.
The ARM Mali-G68 MP4 (or G68MC4) is an integrated mid-range graphics card for ARM based SoCs (mostly Android based). The MP4 version uses four of the six possible clusters / cores.
It was introduced mid 2021 in the Mediatek Dimensity 900. It is based on the Valhall architecture and is advertised by ARM as a "sub-premium GPU". It offers all features of the Mali-G78 series including improvements for battery runtime and machine learning.
- Range of benchmark values for this graphics card - Average benchmark values for this graphics card * Smaller numbers mean a higher performance 1 This benchmark is not used for the average calculation
The following benchmarks stem from our benchmarks of review laptops. The performance depends on the used graphics memory, clock rate, processor, system settings, drivers, and operating systems. So the results don't have to be representative for all laptops with this GPU. For detailed information on the benchmark results, click on the fps number.