Specifications
The Arm Mali-G78 GPU is a second generation Valhall architecture-based GPU for premium devices. Mali-G78 is the highest performing Arm GPU that enables complex use cases, for example gaming graphics and machine learning (ML) for all the latest APIs like Vulkan and OpenCL. Mali-G78 provides a GPU performance boost of up to 25% on previous device generation, and boosts on-device ML capabilities, helping to bring highly complex games to mobile devices. With support for up to 24 cores and the inclusion of Asynchronous Top-Level, Mali-G78 ensures that the delivery of this performance is efficiently spread across the cores which allows graphics to run smoother. The new Fused Multiply-Add (FMA) unit in the execution engine, built from the ground up, leads to a further 30% energy reduction in the unit.
Mali-G78 is also 10% more energy efficient than earlier GPUs. This enables longer battery life on next-generation mobile devices.
Arm Mali-G78 GPU
| Features | Value | Description |
| Anti-aliasing | 4x MSAA 8x MSAA 16x MSAA |
4x Multi-Sampling Anti-Aliasing (MSAA) with minimal performance drop |
| API support | OpenGL® ES 1.1, 2.0, 3.1, 3.2 Vulkan 1.1, 1.2 OpenCL™ 1.1, 1.2, 2.0 Full profile |
Full support for next-generation and legacy 2D/3D graphics applications |
| Bus interface | AMBA®4 ACE, ACE-LITE, and AXI | Compatible with a wide range of bus interconnect and peripheral IP |
| L2 cache | Configurable 512KB – 2MB |
2 or 4 slices |
| Scalability | 7 to 24 cores |
Configurable from 7 to 24 cores delivering largest capability for a Mali GPU |
| Adaptive Scalable Texture Compression (ASTC) | Low Dynamic Range (LDR) and High Dynamic Range (HDR). Supports both 2D and 3D images. |
ASTC offers several advantages over existing texture compression schemes by improving image quality, reducing memory bandwidth and thus energy use |
| Arm Frame Buffer Compression (AFBC) | Version 1.3 4x4 pixel block size |
AFBC is a lossless image compression format that provides random access to pixel data to a 4x4 pixel block granularity. It is employed to reduce memory bandwidth both internally within the GPU and externally throughout the SoC |