Vendor: Imagination Technologies Group Ltd. Category: GPU

Smallest GPU to support native HDR applications, suitable for wearable devices, smart home hubs, or mainstream set-top boxes

CXM GPUs have been finely tuned to deliver seamless user interfaces to cost-sensitive consumer devices.

Overview

CXM GPUs have been finely tuned to deliver seamless user interfaces to cost-sensitive consumer devices. Each GPU in the series boasts a nearly 50% increase in performance density over the IMG BXM GPU family. Features have been added specific to the needs of the consumer market, including native support for HDR and TFBCv2 (Tiny Frame Buffer Compression). The CXM-2-64 is the smallest GPU to support HDR natively. It is ideal for area-sensitive consumer devices such as wearables, set-top boxes, and smart home hubs.

Key features

  • 10bits RGBA / YUV for HDR experiences
  • Advanced image compression technology
  • Fully secure GPU virtualisation with HyperLane
  • AI Synergy when deployed with an IMG NNA
  • A GPU of choice for RISC-V projects
  • API Support
    • Vulkan 1.3
    • OpenGL ES 3.x/2.0/1.1 + Extensions
    • OpenCL 3.0
    • Android NN HAL
  • OS Support
    • Linux Consumer
    • Linux X.org
    • Android
  • Bus Interface
    • AXI
    • ACE-Lite
  • Compression
    • TFBCv2 (Tiny Frame Buffer Compression)
  • Performance
    • 64 FP32 FLOPS/Clock
    • 128 FP16 FLOPS/Clock
  • Pixels per Clock
    • 2ppc

Applications

  • Consumer Electronics,
  • Set-Top Boxes,
  • Smart home hubs,
  • Smart TV,
  • Wearables

Specifications

Identity

Part Number
IMG CXM-2-64
Vendor
Imagination Technologies Group Ltd.
Type
Silicon IP

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Frequently asked questions about GPU IP cores

What is Smallest GPU to support native HDR applications, suitable for wearable devices, smart home hubs, or mainstream set-top boxes?

Smallest GPU to support native HDR applications, suitable for wearable devices, smart home hubs, or mainstream set-top boxes is a GPU IP core from Imagination Technologies Group Ltd. listed on Semi IP Hub.

How should engineers evaluate this GPU?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this GPU IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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