Geekbench AI is a specialized benchmarking tool designed to evaluate the artificial intelligence (AI) capabilities of various devices. This tool extends the legacy of the original Geekbench, which has been a standard for assessing CPU and GPU performance, by focusing specifically on AI workloads
Benchmark All Devices
Geekbench AI aims to provide a comprehensive assessment of on-device AI performance across multiple platforms, including Windows, macOS, Linux, Android, and iOS. It evaluates how effectively a device’s hardware components (such as the CPU, GPU, and Neural Processing Unit (NPU)) handle AI tasks. This is particularly relevant in an era where AI functionalities like image recognition, natural language processing, and real-time data analysis are becoming integral to user experiences.
Benchmarking Methodology
The benchmarking process in Geekbench AI encompasses ten distinct AI workloads, each executed with three different data precision levels: Single Precision, Half Precision, and Quantized. This approach offers a multidimensional perspective on AI performance. The workloads are designed to mirror real-world AI applications, covering areas such as computer vision and natural language processing. For instance, tasks like image classification and object detection are included to assess computer vision capabilities, while text classification and machine translation are used to evaluate natural language processing performance.
Scoring System
Geekbench AI provides three overall scores corresponding to the data precision levels tested: Single Precision, Half Precision, and Quantized. Each score is the geometric mean of the respective workload scores. The scoring is calibrated against a baseline system which is assigned a score of 1500. Higher scores indicate better performance, with double the score implying double the performance.
Cross-Platform Compatibility
Geekbench AI supports multiple operating systems and allows users to select the AI framework and backend that best suit their device’s architecture. For example, on Windows, users can choose between ONNX and OpenVINO frameworks, depending on their hardware configuration. This flexibility enables both developers and consumers to measure and compare AI performance across a diverse range of devices.
Conclusion
Geekbench AI represents a significant advancement in the realm of performance benchmarking by focusing specifically on AI workloads. Its comprehensive methodology, cross-platform compatibility, and detailed scoring system make it a valuable tool for assessing the AI capabilities of modern devices. As AI continues to permeate various aspects of technology, tools like Geekbench AI will play a crucial role in helping stakeholders understand and optimize AI performance across different hardware and software configurations.
You can download Geekbench AI from https://www.geekbench.com/ai/.