AI Unveiled: Beyond Boundaries of Code and Consciousness
The latest news and updates on the large language modelling ecosystem have brought about a significant development in the field of artificial intelligence. Geekbench AI 1.0, a machine-learning benchmark, has been released and is now available on multiple platforms. This benchmark aims to provide comparable results for the performance of CPU, GPU, and NPU on various hardware platforms and operating systems.
Benchmark Supports Many Platforms
The Geekbench AI 1.0 has been designed to run on a wide range of platforms, including Android, iOS, Linux, macOS, and Windows. The supported AI frameworks for each platform are listed in the table below.
Platform | Supported AI Frameworks |
---|---|
Android | TensorFlow, TensorFlow Lite, Core ML |
iOS | Core ML, TensorFlow Lite |
Linux | TensorFlow, TensorFlow Lite, OpenVINO |
macOS | TensorFlow, TensorFlow Lite, Core ML |
Windows | TensorFlow, TensorFlow Lite, DirectML |
Core i7-10700 as Baseline System
The results of the Geekbench AI are calibrated using a baseline system, which is a Lenovo ThinkStation P340 with an Intel Core i7-10700. The scores are normalized against the results of this system, with a score of 1,500 points indicating parity.
Quantized Score
The Quantized Score is the geometric mean of all quantized workload scores. This score provides a measure of the performance of the system on quantized workloads.
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A diagram showing the architecture of the Geekbench AI 1.0 benchmark
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Article Title
AI Unveiled: Geekbench AI 1.0 Benchmark Released on Multiple Platforms
Article Description
The latest development in the field of artificial intelligence, Geekbench AI 1.0, a machine-learning benchmark, has been released and is now available on multiple platforms. This benchmark aims to provide comparable results for the performance of CPU, GPU, and NPU on various hardware platforms and operating systems.
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AI, machine learning, benchmark, Geekbench AI 1.0
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