Mali-T860 and Mali-T880 High Performance GPU

Mali-T860 and T880 Block Diagram.

About Mali-T860 GPU and Mali-T880 GPU

The highest performance GPUs built on Arm Mali Midgard architecture, the Mali-T860 and Mali-T880 GPUs are designed for complex graphics use cases and provide stunning visuals for UHD content. Scalable from 1-16 cores, these GPUs implement new features and optimizations within their micro-architectures such as higher arithmetic throughput to better handle both casual and complex content. Other optimization examples include quad prioritization delivering enhanced performance for UI and casual content, and enhanced Forward Pixel Kill that improves performance for more advanced use cases by eliminating redundant work early in the pipeline. 

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Specification

 Features  Mali-T860 Value  Mali-T880 Value Description
Anti-Aliasing
4x MSAA.
8x MSAA.
16x MSAA.
4x MSAA.
8x MSAA.
16x MSAA.
Hardware implemented Full Scene Multiple Sample Anti-Aliasing.
API Support
OpenGL® ES 1.1, 1.2, 2.0, 3.1, 3.2.
Vulkan 1.0.
OpenCL™ 1.1, 1.2.
RenderScript™.
OpenGL® ES 1.1, 1.2, 2.0, 3.0, 3.1, 3.2.
Vulkan 1.0.
OpenCL™ 1.1, 1.2.
DirectX® 11 FL11_1.
RenderScript™.
Full support for next-generation and legacy 2D/3D graphics applications.
Bus Interface
AMBA®4.
ACE-LITE.
AMBA®4.
ACE-LITE.
Compatible with a wide range of bus interconnect and peripheral IP.
L2 Cache
Configurable 256KB-2048KB.
Configurable 256KB-2048KB.
256KB-512KB for every 4 shader cores.
Memory System
Virtual Memory. Virtual Memory. Built-in Memory Management Unit (MMU) to support virtual memory.
Multi-Core Scaling
1 to 16 cores.
1 to 16 cores.
Optimized for high area and energy efficiency to address the high-end mobile market and consumer device requirements.
Adaptive Scalable Texture Compression (ASTC)
Low Dynamic Range (LDR) and High Dynamic Range (HDR).
Supports both 2D and 3D images.
Low Dynamic Range (LDR) and High Dynamic Range (HDR).
Supports both 2D and 3D images.
ASTC offers a number of advantages over existing texture compression schemes by improving image quality, reducing memory bandwidth and thus energy use.
Arm Frame Buffer Compression (AFBC)
4x4 pixel block size. 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.
Transaction Elimination
16x16 pixel block size.
16x16 pixel block size.
Transaction Elimination spots the identical pixel blocks between two consecutive render targets and performs a partial update to the frame buffer with the changed pixel blocks only, which reduces memory bandwidth and thus energy.
Smart Composition
16x16 pixel block size.
16x16 pixel block size.
Smart Composition extends the concept of Transaction Elimination to every stage of UI composition. Identical pixel blocks of input surfaces are not read, not processed for composition and not written to final frame buffer.

Performance - Mali-T860 (MP16)

Feature Value Description
Frequency 650MHz in 28nm HPM
Throughput 1300Mtri/s, 10.4Gpix/s in 28nm HPM

Performance - Mali-T880 (MP16)

Feature Value Description
Frequency 850MHz in 16nm (16 FinFET)
Throughput 1700Mtri/s, 13.6Gpix/s in 16nm (16 FinFET)

  • A desktop, a folder, 3D shapes etc.
  • Development Tools for Graphics and Compute Applications

    A range of development tools to assist in the deployment of graphics applications and content on Mali GPU based systems.

  • A phone, a tablet, game console etc.
  • Mali Developer Center

    An online portal for a growing community of developers, technology partners, software vendors and content companies to create a thriving community around Mali embedded graphics IP.

    Learn more

Get Support

Arm Support

Arm training courses and on-site system-design advisory services enable licensees to efficiently integrate the Mali-T860 and T880 GPU into their design. 

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Community Blogs

Community Forums

Answered Zero Copy Buffers using cl_arm_import_memory extension in OpenCL 1.2 - arm mali midgard GPUs.
  • Midgard
  • Mali GPU (Midgard Architecture)
  • Mali OpenCL SDK
0 votes 346 views 4 replies Latest 5 hours ago by Kévin Petit Answer this
Suggested answer Optimised OpenCL SGEMM implementation for ARM Mali Midgard GPUs.
  • High Performance Computing (HPC)
  • OpenCL
  • High-Performance Computing (HPC)
  • Mali GPU (Midgard Architecture)
  • Mali OpenCL SDK
0 votes 2273 views 1 replies Latest 9 hours ago by Kévin Petit Answer this
Answered Irregular behaviour of vectors in OpenCL(1.2) kernels
  • OpenCL
  • Mali GPU (Midgard Architecture)
  • Mali OpenCL SDK
  • Linux OpenCL
0 votes 4996 views 1 replies Latest 9 hours ago by Kévin Petit Answer this
Answered Map/Unmap operations with Zero copy buffer.
  • OpenCL
  • High-Performance Computing (HPC)
  • Mali GPU (Midgard Architecture)
0 votes 2283 views 1 replies Latest 10 hours ago by Kévin Petit Answer this
Answered Zero Copy Buffer Allocation on Arm Mali MidGard GPUs Opencl1.2
  • Midgard
  • OpenCL
  • C++
  • Mali OpenCL SDK
  • gpu
0 votes 4595 views 4 replies Latest 2 days ago by abhi.verma Answer this
Suggested answer Optimised GPU convolution for low memory integrated devices -such as arm processors /GPUs?
  • Mali GPU (Midgard Architecture)
  • Machine Learning (ML)
  • Mali OpenCL SDK
0 votes 5618 views 2 replies Latest 25 days ago by abhi.verma Answer this
Answered Zero Copy Buffers using cl_arm_import_memory extension in OpenCL 1.2 - arm mali midgard GPUs. Latest 5 hours ago by Kévin Petit 4 replies 346 views
Suggested answer Optimised OpenCL SGEMM implementation for ARM Mali Midgard GPUs. Latest 9 hours ago by Kévin Petit 1 replies 2273 views
Answered Irregular behaviour of vectors in OpenCL(1.2) kernels Latest 9 hours ago by Kévin Petit 1 replies 4996 views
Answered Map/Unmap operations with Zero copy buffer. Latest 10 hours ago by Kévin Petit 1 replies 2283 views
Answered Zero Copy Buffer Allocation on Arm Mali MidGard GPUs Opencl1.2 Latest 2 days ago by abhi.verma 4 replies 4595 views
Suggested answer Optimised GPU convolution for low memory integrated devices -such as arm processors /GPUs? Latest 25 days ago by abhi.verma 2 replies 5618 views