Vendor: Imagination Technologies Group Ltd. Category: GPU

C-Series GPU IP

IMG CXM GPU: Seamless visuals

Overview

The smallest GPU to support HDR user interfaces, delivering vibrant, high-quality graphics even in the most space-constrained devices.

Imagination continues to invest in efficient GPUs that improve user experiences across a wide range of consumer devices. IMG CXM is Imagination’s latest, highly efficient GPU, available in a variety of configurations to ensure the best fit for an a range of use cases.

WHY CHOOSE IMG CXM?

  • CXM is feature-rich and the market’s smallest GPU that supports HDR UI, allowing OEMs to provide users with the enriching visual experience they have come to expect at a lower cost and with greater design flexibility.
  • GESTURE RECOGNITION: IMG CXM’s small footprint opens space on the chip for SoC providers to combine its GPU compute capabilities with additional AI hardware to bring advanced functions, like gesture recognition.
  • EFFICIENCY ENHANCED: IMG CXM offers a wide range of performance points, including 1-4PPC, 16-128 FLOPS, and an area-efficient base configuration.
  • EXPERT SUPPORT: Imagination only succeeds when our customers succeed. We offer tailored support for integrating Imagination IP into a product, as well as access to a regularly updated DDK and our comprehensive suite of developer tools.

Key features

  • World’s smallest Android Extension Pack capable GPUs
  • Performance and efficiency improvements over equivalent Series6XE cores
  • Virtualization and security hardware support
  • Geometry shader support
  • Tessellation support (optional)
  • Native 10-bit YUV support (optional)
  • ASTC LDR/HDR support
  • PowerGearing™ advanced power management
  • PVR3C™ triple compression technology for bandwidth/power savings

Specifications

Identity

Part Number
C-Series GPU IP
Vendor
Imagination Technologies Group Ltd.
Type
Silicon IP

Videos

IMG CXM - Tiny Frame Buffer Compression
This video highlights a new feature and benefit of the IMG CXM GPU. IMG CXM is the smallest GPU to bring effortless user interfaces into homes. CXM builds on Imagination's Tiny Frame Buffer Compression with V2 (TFBCv2) which is the new state-of-the art compression technology. It delivers higher-quality lossy and lossless compression and brings an additional compression level (37.5%), allowing for flexibility in design. This enables device vendors to deliver an improved user experience at a lower cost. The demo showcases the memory bandwidth and power savings using TFBCv2.

Files

Note: some files may require an NDA depending on provider policy.

Provider

Learn more about GPU IP core

Running OpenCode with llama.cpp and Qwen 3.5 on E-Series

Edge AI gets more interesting when a model does more than answer prompts. It plans, calls tools, and keeps working toward a goal. That is the appeal of agentic workloads, and it is why we explored running OpenCode through llama.cpp with Qwen 3.5 on Imagination E-Series. This blog explains the approach we took, why the software path was practical, what we optimized along the way, and why E-Series GPUs are a good fit for this class of workload.

Tape-out Risk in the Age of Edge AI: The Case for GPU IP

A full SoC tape-out at 5nm approaches $400M in fully loaded, non-recurring engineering and mask costs. At 3nm, estimates push past $600M. Every IP block on that die is a commitment to a set of assumptions about what the silicon will need to do. In AI, those assumptions have a shorter shelf life than they used to.

Imagination Demonstrates DirectX Gaming on D-Series GPUs

A GPU IP block with robust DirectX support solves a critical problem for new hardware designers: it removes a barrier to entry for Windows markets. Without it, even the most capable silicon cannot run mainstream PC games or enterprise workloads. In short, it makes your solution relevant to the largest graphics software base in the world.

Frequently asked questions about GPU IP cores

What is C-Series GPU IP?

C-Series GPU IP 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.

×
Semiconductor IP