The PowerVR Series5XE GX5300 core is 0.55 mm2 and is designed for low-cost, area-constrained applications.
Imagination GPU block diagram
Imagination Technologies announced a new Android-compatible graphics core for wearables and the Internet of Things. The PowerVR Series5XE GX5300 core, tagged as 'the smallest chip in the industry', is 0.55 mm2 and is designed for low-cost, area-constrained applications.
blog post. "This is because most of these devices are currently powered by sub-optimal solutions derived from smartphone chips which cause power consumption problems."
Though Imagination wouldn't share power consumption specs, EE Times found that the GPU performs at up to 1 GFlops and up to 250 MPixel/s of peak performance at 250 MHz. Additionally, the chip can handle up to 720-progressive video resolution
The GPU leverages Imagination's PVRTC texture compression technology. Previous wearable devices could render graphics using a software-only approach or a 2D engine, but Imagination says newer devices require a GPU capable of processing high-resolution interfaces while offloading the main CPU.
The company cited graphics rendering on smart appliances as a good use of its GPU. For example, the Discovery IQ smart oven from Dacor uses a PowerVR GPU to run the Android graphical user interface.
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"For wearables, we envision our GPUs being used for driving graphical UIs or rendering graphics in web browsing, navigation, or augmented reality apps," an Imagination spokesperson told EE Times. "Our PowerVR GX5300 GPU offers significant improvements to aid integration, reduce power consumption, and reduce area for newer process nodes, including 28 nm."
The GX5300 builds on previous Series5 devices as an entry-level IoT chip. Imagination plans to scale up its Series6XE to focus on mainstream and high-end smart watches and the IoT. Its Series6 will be targeted toward high-end wearables like smart glasses.
Imagination was an official launch partner for Android Wear, and the company has been tooling its processor IP for the OS.
This article, written by Jessica Lipsky, was originally published on EE Times.