Mali-T760 High Performance GPU

Mali-T760 Block Diagram.

About Mali-T760

The Arm Mali-T760 GPU preceded the Mali-T860 & Mali-T880 on the Midgard GPU architecture. It delivers 400% the energy efficiency of the previous generation of products. Scalable from 1-16 cores, the Mali-T760 introduces cohesive bandwidth saving technologies such as Arm Frame Buffer Compression and reduces the overall system level bandwidth and power cost of transferring spatially coordinated image data throughout the system.

Key Benefits

  • Dramatic power savings compared to previous generations.
  • Excellent execution of compute-intensive tasks such as computational photography, gesture recognition, and image stabilization.
  • Increased energy efficiency across the SoC.
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Specification

Features Value Description
Anti-Aliasing 4xMSAA
8xMSAA
16x MSAA
Hardware implemented Full Scene Multiple Sample Anti-Aliasing.
API Support OpenGL® ES 1.2, 1.1, 2.0, 3.1, 3.2
Vulkan 1.0*
OpenCL™ 1.1, 1.2
RenderScript™
Full support for next-generation and legacy2D/3D graphics applications.
Bus Interface AMBA®4
ACE-LITE
Compatible with a wide range of bus interconnect and peripheral IP.
L2 Cache Configurable 256kB-2048kB 256kB-512kB for every 4 shader cores.
Memory System Virtual Memory Built-in Memory Management Unit (MMU) to support virtual memory.
Multi-Core Scaling 1 to 16 cores Optimized for high energy efficiency to address the high-end mobile and consumer 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 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.

Performance - Mali-T760 (MP16)

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

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

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

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  • A phone, a tablet, game console etc.
  • Graphics and Gaming Development

    A collection of resources for developers targeting graphics and gaming applications on Mali GPUs. 

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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-T760 GPU into their design. 

Arm training courses Open a support case


Community Forums

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  • Android OpenGL ES
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0 votes 3716 views 1 replies Latest 20 days ago by Peter Harris Answer this
Suggested answer Mali T400 rendering speed limit with Wayland Latest 5 days ago by Peter Harris 3 replies 578 views
Answered Unity apk crashes on start with Vulkan interceptor Latest 8 days ago by Peter Harris 5 replies 9274 views
Answered What is mali-renderer? Latest 10 days ago by Jörg 1 replies 4726 views
Answered How to get the source code for Mali GPU User-Space driver? Latest 12 days ago by Cliff Lin 4 replies 1638 views
Answered Arm Offline Comlier's Performance analysis Not Including "Instructions Emitted" Latest 20 days ago by Peter Harris 2 replies 3646 views
Answered G76 perf drop after Android Q update (bandwidth problem?) Latest 20 days ago by Peter Harris 1 replies 3716 views