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Procyon AI Image Generation Benchmark

Procyon AI Image Generation Benchmark

AI image generation inference benchmark

Measure AI accelerator inference performance

AI modelDevelopment and Tools AIImage GenerationBenchmarkingPerformance EvaluationProfessional Users
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Highlights

Three tests spanning low-power NPUs to discrete GPUs
Supports NVIDIA TensorRT, Intel OpenVINO, and ONNX with DirectML
Compare up to four results side by side
Run via the Procyon application or command line
Free trial, with the formal version on an annual site license

What you can do with it

  • Evaluating and optimizing AI accelerator performance
  • Selecting the most suitable inference engine for an application
  • Comparing AI inference capability across hardware platforms

How to use it

  1. 1 Visit the Procyon benchmark page for product details.
  2. 2 Choose a free trial or request a formal quote.
  3. 3 Download and install the Procyon application.
  4. 4 Configure test parameters such as inference engine and version.
  5. 5 Run the test and review the generated report.

Who it is for

Hardware manufacturers evaluating AI acceleratorsSoftware developers choosing an inference engineEngineering and research teams comparing hardware platforms

Pros

  • Consistent and comparable workload across supported hardware
  • Multiple inference engines supported
  • Detailed reports with scores and generated images

Limitations

  • The formal version is a paid annual site license
  • Requires suitable hardware and a supported inference engine
  • Setup and configuration need technical knowledge
  • Results measure inference throughput, not image quality

What the Procyon AI Image Generation Benchmark is

The Procyon AI Image Generation Benchmark is a benchmarking tool developed by UL Solutions. It is designed to give professional users a consistent, accurate, and easy-to-understand workload for measuring the inference performance of AI accelerators on devices. The benchmark was developed in collaboration with several key industry players to ensure fair and comparable results across all supported hardware. It includes three tests that measure performance from low-power NPUs up to high-end discrete GPUs, and it supports inference engines including NVIDIA TensorRT, Intel OpenVINO, and ONNX with DirectML. Tests can be configured and run through the Procyon application or the command line, and the application allows side-by-side comparison of up to four results. Pricing provides a free trial, with the formal version available on an annual site license basis at a paid quote.

What you can do with it

- Measure AI accelerator inference performance on a device.

- Run three tests spanning low-power NPUs to discrete GPUs.

- Validate inference engine implementations and compatibility.

- Compare up to four results side by side in the application.

- Review reports with overall scores, detailed scores, and generated images.

- Test with multiple versions of Stable Diffusion AI models.

Who it is for

- Hardware manufacturers evaluating and optimizing AI accelerators.

- Software developers choosing an inference engine for their applications.

- Research institutions comparing AI inference capability across hardware platforms.

- Engineering teams that need a repeatable workload for internal testing.

What to watch out for

The formal version is a paid annual site license, so the free trial is for evaluation rather than ongoing use, and you should request a quote to understand licensing costs before planning a purchase. Running the benchmark requires suitable hardware and a supported inference engine, and setting up tests needs technical knowledge, so this is a professional tool rather than a casual one. Results measure inference throughput on your specific configuration, so they are not a general quality score for the images a model can produce. Use the numbers to compare configurations you control, not to judge models in the abstract.

FAQ

What does the Procyon AI Image Generation Benchmark measure?

It measures the inference performance of AI accelerators on devices using a consistent image generation workload developed with key industry players.

Which inference engines are supported?

The site lists NVIDIA TensorRT, Intel OpenVINO, and ONNX with DirectML, and says it validates inference engine implementations and compatibility.

How is it priced?

The site says the pricing structure provides a free trial, with the formal version available on an annual site license basis at a paid quote.

Who is it for?

The site says it is primarily designed for engineering teams evaluating inference engine implementations and the general AI performance of specialized hardware.

Why it is free

What the official page says: free trial

Free limits, trial length and features are decided by the official site and can change at any time.

Product preview

Procyon AI Image Generation Benchmark product screenshot

Screenshot archived from the listing page, for preview only.

Procyon AI Image Generation Benchmark

A benchmarking tool used to measure the AI accelerator inference performance of devices.

Visit official site →

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