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Geekbench AI 1.0
Following years of feedback and test iteration with our customers, partners, and the AI engineering community, our machine learning benchmark is now ready for general use, and it has a new name: Geekbench AI. If you’ve followed along with prior preview releases, then you’re familiar with the basic premise.
We called prior preview releases for our machine learning benchmark “Geekbench ML.” But in recent years, companies have coalesced around the term “AI” for these workloads (and their related marketing). It could have proprietary hardware accelerator chips, manufacturer-specific developer libraries to add or enhance game effects, and variable quality of support for software frameworks like Direct3D. This includes support for new frameworks, from OpenVINO on Linux and Windows to vendor-specific TensorFlow Lite delegates like Samsung ENN, ArmNN, and Qualcomm QNN on Android to better reflect the latest tools available to engineers and the changing ways that developers build their apps and services on the newest hardware.
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