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UL Solutions Announces The Premiere Of The UL Procyon® AI inference Benchmark For Windows At The Snapdragon Summit

By PR Newswire

PR Newswire
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The UL Procyon ®  AI Inference Benchmark for Windows helps the technology industry meet consumer expectations for faster machine learning performance. 

NORTHBROOK, Ill. , Nov. 28 , 2023 /PRNewswire/ -- UL Solutions, a global leader in applied security science, today announced UL Procyon ®  AI inference benchmark for Windows and AI inference performance of the Snapdragon ®  X Elite platform during the  Snapdragon Summit 2023   will be presented for the first time.

An inference engine consists of hardware and software that makes decisions based on stored rules and information in a knowledge base. Performance may vary depending on device and other factors.

UL Solutions announced that its UL Procyon® Artificial Intelligence (AI) Inference Benchmark for Windows demonstrated the AI inference performance of the Snapdragon® X Elite Platform during the 2023 Snapdragon Summit.

The UL Procyon AI Inference Benchmark for Windows compares multiple inference engines from different manufacturers and measures the machine learning performance of Windows operating systems using popular computer vision models. These insights help technology companies evaluate inference performance and compare devices for AI use cases.

"With unprecedented access to machine learning and artificial intelligence tools that consumers now have as a given in their daily lives, technology providers are leveraging performance insights to optimize inference engines for better performance across hardware and specific use cases." said Jukka Makinen , Managing Director in the Software and Advisory Group at UL Solutions. “Our UL Procyon AI Inference Benchmark for Windows provides the technology industry with a tool to measure performance and provide insights that help develop faster AI-driven products and "The close collaboration between UL Solutions and Qualcomm Technologies helps improve the accuracy, relevance and neutrality of benchmarks as AI continues to evolve at a rapid pace - especially with the Snapdragon X Elite platform."

The AI ​​workloads used in the UL Procyon AI Inference Benchmark for Windows are standard machine vision tasks such as image classification, image segmentation, object detection, and superresolution. These tasks are performed using various neural networks and run on the device's central processing unit (CPU), graphics processing unit (GPU), or a dedicated AI accelerator to compare hardware performance.

"The insights gained from the UL Procyon AI inference benchmark for Windows enabled Qualcomm Technologies to optimize the performance of our machine learning tools and present data that highlights the new capabilities of our leading Snapdragon X Elite platform," said Surya Chittuluri , Director of Product Management at Qualcomm Technologies, Inc. "We are pleased to be among the industry partners working with UL Solutions in the ongoing development of the AI ​​benchmark to support faster machine learning."

Learn more about the UL Procyon AI Inference Benchmark for Windows. 

About UL Solutions 

As a global leader in applied safety science, UL Solutions turns safety and sustainability challenges into opportunities for customers in more than 100 countries. UL Solutions provides testing, inspection and certification services, as well as software products and consulting offerings that support our customers' product innovation and business growth. The UL certification marks serve as a recognized symbol of trust in our customers' products and reflect our unwavering commitment to advancing our safety mission. We help our customers to innovate, bring new products and services to market, navigate global markets and complex supply chains, and continue to grow sustainably and responsibly in the future. Our science is your advantage.

Press Contacts:
Tyler Khan
UL Solutions
ULNews@UL.com
Tel: +1 (847) 664.2139

Steven Brewster
UL Solutions
ULNews@UL.com
Tel.: +1 (847) 664.8425

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First published on Tue, Nov 28, 2023

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