Geekbench AI 1.zero platform, which might measure the efficiency of synthetic intelligence (AI) capabilities of a tool, was launched on Thursday. Developed by Primate Labs, the app is a benchmarking suite devoted to measuring and evaluating the general AI-centric efficiency of units. It’s out there to obtain without cost throughout all main platforms. The AI device can run a number of exams on the CPU, GPU, and neural processing unit (NPU) to generate a rating for the gadget. Builders even have the choice to decide on the appropriate AI framework and fashions to check workloads.
Geekbench AI 1.zero Launched
Saying the app, the corporate mentioned in a weblog publish, “Geekbench AI is a benchmarking suite with a testing methodology for machine studying, deep studying, and AI-centric workloads, all with the identical cross-platform utility and real-world workload reflection that our benchmarks are well-known for.”
Geekbench AI iOS app (examined iPhone 15 Professional)
The corporate highlighted that the app runs ten totally different AI workloads robotically, the place every check requires three totally different knowledge sorts. This complete testing helps customers get a greater evaluation of the on-device AI efficiency. The app is offered for Android, iOS, Linux, macOS, and Home windows and may consider smartphones, tablets, laptops, desktops, and related units.
Curiously, the preview launch of the app was named Geekbench ML, but it surely was renamed as the corporate observed that OEMs have began utilizing the phrase AI to explain these workloads. Additional, to deal with the complexity of figuring out AI efficiency, the benchmarking app considers the workloads, {hardware}, and AI framework of the gadget.
Basically, the Geekbench AI app exams the gadget for pace and accuracy, as this helps decide if the gadget makes any trade-offs between efficiency and effectivity. Different such metrics embody datasets, frameworks, runtime, laptop imaginative and prescient, pure language processing (NLP), and extra.
Primate Labs have additionally created an ML Benchmarks leaderboard the place customers can test the CPU, GPU, and NPU efficiency of various units, and know the top-performing units. The minimal software program necessities to run the app are as follows. Android 12 or later,
- Android – Android 12 or later, 4GB RAM
- iOS – iOS 17
- Linux – Ubuntu 22.04 LTS (64-bit) or later, 4GB of RAM (AMD or Intel processor)
- macOS – macOS 14 or later, 8GB of RAM (Apple Silicon or Intel processor)
- Home windows – Home windows 10 (64-bit) or later, 8GB of RAM (AMD, ARM, or Intel processor)
