Geekbench brings cross-platform AI benchmarking

By Mehtab Ansari • Updated On 16 Aug 2024

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Geekbench is known for its popular CPU and GPU benchmarks but it lacked one important benchmark, and that’s AI benchmarking. Several manufacturers have started including NPUs on their SoCs, thanks to the rise of AI in recent times.

Now, the platform has released a cross-platform benchmark to assess the AI capabilities of a machine. The platform has been working on an AI benchmark since about 2021. At the time, it was called Geekbench ML but now it has been changed to Geekbench AI, for all obvious reasons.

Similar to other Geekbench benchmarks, the AI benchmark is also available for Android, iOS, Linux, macOS, and Windows. You can try it by going to geekbench.com/ai/download and installing the benchmark for your device.

Upon running the Geekbench AI benchmark, you get three scores—High Precision Score, Half Precision Score, and Quantized Score. These scores, according to Labs, are supposed to evaluate “how accurately that model can do what it’s supposed to do.” In simple words, a higher precision score means better, faster, and more accurate AI performance.

Unfortunately, there is not much data to evaluate how this benchmark actually works and how the scores translate into real-world AI performance. Oh, and the benchmark uses several frameworks like ONNX, CoreML, TensorFlow Lite, and OpenVINO for the score assessment.

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Mehtab Ansari

Mehtab Ansari is a tech enthusiast who also has a great passion in writing. During his two years of career, he has covered news, features, and evergreen content on multiple platforms. Apart from keeping a close eye on emerging tech developments, he likes spending time at the gym.

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