AI Super-Resolution on AMD Ryzen™ AI Max+: Real-Time Performance Without Compromise
Video resolutions continue to increase rapidly. Consequently, delivering high-quality visual experiences while maintaining low latency remains a major challenge. To address this issue, this whitepaper presents an extensive evaluation of Small Pixels’ perceptual x2 AI Video Super Resolution technology. Specifically, we test this pipeline on the new AMD Ryzen™ AI Max+ platform.
Our study analyzes different hardware execution paths, including CPU, NPU, and integrated GPU. We demonstrate how these paths impact both visual quality and real-time performance. Ultimately, the findings demonstrate that the AMD NPU provides an exceptional balance between throughput and perceptual fidelity. Therefore, the system enables near real-time AI upscaling even at high resolutions. Simultaneously, the integrated Radeon™ GPU delivers extremely high frame rates. This path works perfectly when applications require maximum throughput.
Inside the report, you’ll discover:
• Detailed performance benchmarks across multiple resolutions
• Quality comparisons between Bicubic Interpolation and Small Pixels AI Super-Resolution
• CPU vs NPU vs iGPU deployment analysis
• LPIPS-based perceptual quality evaluation
• Real-world implications for broadcasting, streaming, edge devices, and live video workflows
The results show that high-quality AI video enhancement is no longer limited to data-center environments. Modern AMD AI hardware allows engineers to run advanced AI Video Super Resolution efficiently on mobile and edge platforms. Furthermore, this deployment fully maintains the visual integrity required for professional video applications.