Chip race: Microsoft, Meta, Google, and Nvidia battle it out for AI chip supremacy
The popular benchmarking utility Geekbench has launched a new cross-platform tool to evaluate the performance of devices under AI-heavy workloads. Geekbench AI measures a device’s CPU, GPU, and NPU (neural processing unit) to determine how well it can handle machine learning applications.
Geekbench developer Primate Labs has been working on the software using the name Geekbench ML, which launched in preview in 2021, but shifted the name to AI for reasons that seem obvious. To explore how different hardware responds to different AI-related tasks, it evaluates performance based on both accuracy and speed, with support for different frameworks, including ONNX, CoreML, TensorFlow Lite, and OpenVino.
The popular benchmarking utility Geekbench has launched a new cross-platform tool to evaluate the performance of devices under AI-heavy workloads. Geekbench AI measures a device’s CPU, GPU, and NPU (neural processing unit) to determine how well it can handle machine learning applications. Geekbench developer Primate Labs has been working on…
