Intel unveils Xe Super Sampling 2 technologies for enhanced gaming

Published 17/03/2025, 17:34
© Reuters.

Investing.com -- Intel (NASDAQ:INTC) has introduced its Xe Super Sampling 2 (XeSS 2) technologies, designed to significantly enhance gaming performance. The technologies include Intel Xe Super Sampling Super Resolution (XeSS-SR), Intel Xe Super Sampling Frame Generation (XeSS-FG), and Intel Xe Low Latency (XeLL).

The XeSS 2 technologies, which work most efficiently on Intel Arc A- and B-series GPUs and Intel Core Ultra processors (Series 2) with built-in Intel Arc 100V and 100T series GPUs, enhance framerate while maintaining high visual quality. XeSS-SR is also available for previous generations of built-in GPUs and for other vendors with SM6.4 (DP4A) compatible devices.

XeSS-FG requires XeLL to be activated, but XeSS-SR and XeLL can be enabled separately. When all three technologies are enabled together, they deliver maximized gameplay improvements.

XeSS-SR offers innovative framerate-boosting technology supported by Intel Arc graphics and GPUs from other vendors. It uses AI deep learning to upscale, providing higher framerates with high image quality. This technology is particularly beneficial for game developers looking to optimize image quality and performance.

XeSS-FG, supported by Intel Arc GPUs, uses AI-based frame interpolation technology to generate detailed, high-resolution frames, improving gaming performance and fluidity without compromising image quality. The application must provide an XeLL context to XeSS-FG before initialization. XeSS-FG uses XeLL for frame-pacing support, a critical element to ensure a good user experience.

XeLL, when incorporated into an application, receives per-frame timing information that allows it to calculate the CPU delay that an application should apply before work on the next frame begins. This minimizes the time that the application begins work on the CPU to the presentation on a screen, reducing input-to-screen latency in the process. The additional delay is calculated so that latency is minimized while the application’s performance is preserved.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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