Mali-T820 and Mali-T830 High Area Efficiency GPUs

Mali-T820 and T830 Block Diagram.

About Mali-T820 and Mali-T830

Providing significant improvements over previous generations, the Arm Mali-T820 GPU and Arm Mali-T830 GPU provide a staggered approach to performance. The Mali-T830 GPU has more compute capability per shader core and handles more complex content than the Mali-T820 GPU. The Mali-T820 GPU and Mali-T830 GPU are the first mainstream Mali GPUs to introduce OpenGL ES 3.2 API support, Android Extension pack support and Arm Framebuffer Compression support.

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Specification

 Features  Value Description
Anti-Aliasing
4x MSAA. 4x Multi-Sampling Anti-Aliasing (MSAA) with minimal performance drop.
API Support
OpenGL® ES 1.1, 2.0, 3.1, 3.2.
Vulkan 1.0.
OpenCL™ 1.1, 1.2 Full Profile.
RenderScript™.
Support for a wide range of graphics APIs.
Bus Interface
AMBA®4.
ACE-Lite.
Compatible with a wide range of bus interconnect and peripheral IP.
L2 Cache
Configurable 32KB-256KB.
64KB-128KB for MP1 & MP2.
64KB-256KB for MP3.
128KB-256KB for MP4.
Memory System
Virtual Memory. Built-in Memory Management Unit (MMU) to support virtual memory.
Multi-Core Scaling
1 to 4 cores.
Optimized for high area and energy efficiency to address mainstream device requirements.
Adaptive Scalable Texture Compression (ASTC)
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. 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.
Transaction Elimination locates identical pixel blocks from 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.
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-T820 (MP4)

Feature Value Description
Frequency 650MHz in 28nm HPM
Throughput 400Mtri/s, 2.6Gpix/s in 28nm HPM

Do you want more information about Arm Mali-T820 and Mali-T830?


  • 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.

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  • 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.

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Get Support

Arm Support

Arm training courses and on-site system-design advisory services enable licensees to efficiently integrate the Mali-T820 and T830 GPU into their design. 

Arm training courses Open a support case
Answered Where do I find presentations and photos from SC'18? 0 votes 249 views 0 replies Started 1 months ago by John Linford Answer this
Discussion Please consider my tag for inclusion on the ARM Community 0 votes 15880 views 25 replies Latest 11 days ago by SULMIYATDAD Answer this
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Discussion NB-IoT:openCPU方案实现数据上传OneNET平台
  • Narrowband IoT (NB-IoT)
0 votes 13 views 0 replies Started 16 hours ago by 利尔达徐佳丽 Answer this
Answered Where do I find presentations and photos from SC'18? Started 1 months ago by John Linford 0 replies 249 views
Discussion Please consider my tag for inclusion on the ARM Community Latest 11 days ago by SULMIYATDAD 25 replies 15880 views
Suggested answer Cross-Compile ArmNN on x86_64 for arm64 Latest 6 hours ago by Jason Andrews 7 replies 278 views
Suggested answer x Latest 16 hours ago by Peter Harris 2 replies 113 views
Discussion 利尔达AM3354核心板 Linux3.2.0 内核增加TSC2007驱动方法 Started 16 hours ago by 利尔达徐佳丽 0 replies 16 views
Discussion i.MX6平台CSI接口的电压选择 Started 16 hours ago by 利尔达徐佳丽 0 replies 19 views
Discussion NB-IoT:模组注册成功但长期挂测时电池没电 Started 16 hours ago by 利尔达徐佳丽 0 replies 15 views
Discussion NB-IoT模组复位问题 Started 16 hours ago by 利尔达徐佳丽 0 replies 13 views
Discussion NB-IoT:NB-IoT的进一步省电操作——RA功能 Started 16 hours ago by 利尔达徐佳丽 0 replies 14 views
Discussion NB-IoT:NB模组对接OneNET平台—注册自动回复 Started 16 hours ago by 利尔达徐佳丽 0 replies 17 views
Discussion NB-IoT:天线匹配灵敏度低,如何分析? Started 16 hours ago by 利尔达徐佳丽 0 replies 17 views
Discussion NB-IoT:openCPU方案实现数据上传OneNET平台 Started 16 hours ago by 利尔达徐佳丽 0 replies 13 views