Mali-G52 High Area Efficiency GPU

Mali-G52 Block Diagram

About Mali-G52

The Arm Mali-G52 is the second mainstream GPU based on the Bifrost architecture. Designed to bring premium visual experiences to the ever-growing mainstream mobile market, Mali-G52 provides heightened Machine Learning capability for those smart applications that are fast becoming essential. Featuring wider execution engines with double the processing lanes, Mali-G52 can efficiently handle far greater graphical complexity in a modest silicon budget.

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Specifications

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 1.0*
OpenCL™ 1.1, 1.2, 2.0 Full Profile,
RenderScript 		 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 32kB-512kB  64KB-128KB for 1-Core.
128KB for 2-Core.
256KB-512KB for 3-Core , 4-Core and 6-Core configurations.   
 Memory System Virtual Memory   Built-in Memory Management Unit (MMU) to support virtual memory.
 Multi-Core Scaling
 1, 2, 3, 4 or 6 dual-pixel 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) Version 1.2
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 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   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.

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Performance - Mali-G52

Features Value Description
Frequency 850 MHz in 16nm
 Pixel/Texturing Throughput 6.8 Gpix/s in 16nm
  • 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.

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Community Forums

Answered Why does the CPU perform better than the GPU when blending small areas? 0 votes 1835 views 1 replies Latest 12 days ago by Peter Harris Answer this
Suggested answer E/MaliEGL: FindAppHintInFile open fail errno=0x2 (No such file or directory)
  • Mali OpenGL ES SDK for Android
  • Android Gralloc
  • rendering
 0 votes 3734 views 2 replies Latest 24 days ago by crescent72 Answer this
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 5204 views 7 replies Latest 25 days 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 6387 views 1 replies Latest 27 days 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 9259 views 1 replies Latest 27 days 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 6463 views 1 replies Latest 27 days ago by Kévin Petit Answer this
Answered Why does the CPU perform better than the GPU when blending small areas? Latest 12 days ago by Peter Harris 1 replies 1835 views
Suggested answer E/MaliEGL: FindAppHintInFile open fail errno=0x2 (No such file or directory) Latest 24 days ago by crescent72 2 replies 3734 views
Answered Zero Copy Buffers using cl_arm_import_memory extension in OpenCL 1.2 - arm mali midgard GPUs. Latest 25 days ago by Kévin Petit 7 replies 5204 views
Suggested answer Optimised OpenCL SGEMM implementation for ARM Mali Midgard GPUs. Latest 27 days ago by Kévin Petit 1 replies 6387 views
Answered Irregular behaviour of vectors in OpenCL(1.2) kernels Latest 27 days ago by Kévin Petit 1 replies 9259 views
Answered Map/Unmap operations with Zero copy buffer. Latest 27 days ago by Kévin Petit 1 replies 6463 views