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Procyon AI Image Generation Benchmark
Overview :
The Procyon AI Image Generation Benchmark is a benchmarking tool developed by UL Solutions, aimed at providing professional users with a consistent, accurate, and easy-to-understand workload to measure the inference performance of AI accelerators on devices. The benchmark has been developed in collaboration with several key industry players to ensure fair and comparable results across all supported hardware. It includes three tests to measure performance from low-power NPUs to high-end discrete GPUs. Users can configure and run tests through the Procyon application or command line, supporting a variety of inference engines including NVIDIA? TensorRT?, Intel? OpenVINO?, and ONNX with DirectML. The product is primarily designed for engineering teams to evaluate inference engine implementations and the general AI performance of specialized hardware. The pricing structure provides a free trial, with the formal version available on an annual site license basis, offered at a paid quote.
Target Users :
The target audience includes engineering teams and professional users who require independent and standardized tools to evaluate the general AI performance of inference engine implementations and specialized hardware, enabling accurate decision-making during product development and performance evaluation.
Use Cases
Hardware manufacturers use this benchmark to evaluate and optimize the performance of their AI accelerators.
Software developers leverage test results to select the most suitable inference engine for their applications.
Research institutions compare the AI inference capabilities of different hardware platforms through benchmarking.
Features
Offers a suite of tests surrounding image generation workloads, utilizing state-of-the-art neural networks.
Designed to measure the inference performance of various AI accelerators.
Supports inference engines such as NVIDIA? TensorRT?, Intel? OpenVINO?, and ONNX with DirectML.
Validates the implementation and compatibility of inference engines.
Simple setup and usage via the Procyon application or command line.
Allows testing with multiple versions of Stable Diffusion AI models.
The application enables side-by-side comparison of up to 4 results.
How to Use
1. Visit the website https://benchmarks.ul.com/procyon/ai-image-generation-benchmark for product details.
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2. Choose between a free trial or request a formal quote based on your needs.
3. Download and install the Procyon application.
4. Configure testing parameters through the application, such as selecting the inference engine and testing version.
5. Run the benchmark test; the application will automatically execute the testing process.
6. After testing is complete, review the generated report, which includes overall scores, detailed scores, and generated images.
7. Use the test results for hardware selection or performance optimization.
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