Compute:Arena
Claim this toolBenchmark AI models on edge devices with verifiable results
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Tracked since2026
The Bottom Line
Entry price
Free, no paid tier
Biggest pro
Provides realistic, community-sourced performance data for local AI inference
Biggest con
Only available for macOS and Linux (no Windows support yet)
TL;DR - Compute:Arena
- Open-source CLI tool to benchmark AI models on local hardware using community-standard workloads.
- Generates cryptographically signed benchmark reports for authenticity and transparency.
- Public leaderboard ranks configurations by decode and prefill token rates, filterable by model, quantization, and chip.
Pricing: Free forever
Best for: Individuals & startups
What is Compute:Arena?
ComputeArena is a community-driven benchmarking platform for running AI models on edge devices. It provides a command-line interface (CLI) for macOS and Linux that allows users to run standardized workloads (prefill and decode) on their local hardware using runtimes like llama.cpp and BaseRT. The tool generates signed reports of the results, which can be submitted to a public leaderboard for comparison across models, quantizations, and chip architectures. The platform aims to provide transparent, verifiable performance data for local AI inference, enabling users to make informed decisions about hardware and model choices.
Pros & Cons
Pros
- Provides realistic, community-sourced performance data for local AI inference
- Signed reports ensure benchmark integrity and prevent fake results
- No account required to run benchmarks; only needed for submission
Cons
- Only available for macOS and Linux (no Windows support yet)
- Requires command-line proficiency to install and operate
- Leaderboard quality depends on community participation and accurate submissions
Key Features
CLI tool for macOS and Linux (curl piped to sh, no sudo required)Supports llama.cpp and BaseRT runtimesRuns offline; signed reports saved locally until user submits themPublic leaderboard with search and filter by model, quantization, chip, runtime, and backendStandardized workloads: PP512 prefill and TG128 decodeCommunity submissions with verifiable signatures to prevent tampering
Pricing
Free
Compute:Arena is completely free to use with no hidden costs.
Reviews
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Compute:Arena FAQ
How does Compute:Arena help developers choose the right edge device for running AI models?
Compute:Arena provides standardized benchmarks that measure prefill and decode performance on local hardware, allowing developers to compare results across different edge devices. The signed reports ensure the data is verifiable, and the public leaderboard aggregates community submissions for broader comparison.
How does Compute:Arena differ from MLflow for benchmarking AI models on edge devices?
Compute:Arena focuses specifically on benchmarking AI inference performance on edge hardware with signed, verifiable reports, while MLflow is a broader MLOps platform for managing the machine learning lifecycle. Compute:Arena is community-driven and requires no account to run benchmarks, unlike MLflow which typically requires setup and tracking infrastructure.
Which operating systems does Compute:Arena support, and what are its main limitations?
Compute:Arena is only available for macOS and Linux; there is no Windows support yet. It requires command-line proficiency to install and operate, and the leaderboard's quality depends on community participation and accurate submissions.
Which teams benefit most from using Compute:Arena?
Teams developing or deploying AI models on edge devices, such as hardware engineers, AI researchers, and DevOps teams, benefit from Compute:Arena's transparent performance data. It helps them make informed decisions about hardware and model quantization choices for local inference.
How is Compute:Arena priced?
Compute:Arena is free to use with no paid plan required. Users can run benchmarks without an account, and only need to create one if they want to submit results to the public leaderboard.
Can Compute:Arena generate verifiable benchmark reports?
Yes, Compute:Arena generates signed reports of benchmark results, ensuring integrity and preventing fake submissions. These reports can be submitted to the public leaderboard for transparent comparison.
What runtimes does Compute:Arena support for running AI workloads?
Compute:Arena uses runtimes like llama.cpp and BaseRT to run standardized prefill and decode workloads on local hardware. Users execute benchmarks via a command-line interface on macOS or Linux.
Does Compute:Arena require an account to run benchmarks?
No account is required to run benchmarks on Compute:Arena; users only need an account if they wish to submit their results to the public leaderboard. This lowers the barrier for participation.
Source: computearena.ai