If you want to know how fast a local LLM runs on your hardware, chances are it's pretty confusing.
Benchmarking AI models on real hardware is way harder than it looks. Between AMD, NVIDIA, Apple Silicon, Intel, and Qualcomm, plus hundreds of open source models, getting the test bench right is a challenge.
So we're making it dead simple. We're open sourcing our internal testing harness. Anyone can run open source models on their own hardware and submit results to the public leaderboard at computearena.ai.
It's live now, with a few hundred submissions already.
If you want to know how a specific model performs on a given hardware, chances are the data is already there.
This is the same tool we use internally to track model and chip performance.
Try it out and tell us what to improve!
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About Compute:Arena on Product Hunt
“Community submitted benchmarks for Local AI”
Compute:Arena launched on Product Hunt on September 17th, 2026 and earned 80 upvotes and 1 comments, placing #19 on the daily leaderboard. Community-submitted performance benchmarks for local AI models on any hardware, any runtime, any quantisation.
Compute:Arena was featured in Open Source (68.8k followers), Artificial Intelligence (478.9k followers), GitHub (41.4k followers) and Apple (15.6k followers) on Product Hunt. Together, these topics include over 173.6k products, making this a competitive space to launch in.
Who hunted Compute:Arena?
Compute:Arena was hunted by Lukas Wesemann. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Compute:Arena stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Lukas Wesemann