Geekbench AI 1.7.0 macOS

Geekbench AI is a cross-platform AI benchmark that evaluates real-world machine learning performance across your device’s hardware. It measures AI workload performance on your CPU, GPU, and NPU to determine whether your system is ready for today’s — and tomorrow’s — cutting-edge AI applications.

🤖 Real-World AI Performance

Geekbench AI runs ten machine learning workloads, each tested using three different data types. This provides a multidimensional view of on-device AI capability.

Using large datasets designed to mimic real-world AI scenarios, Geekbench AI delivers results in just minutes, including:

• Single Precision scores

• Half Precision scores

• Quantized scores

This allows both developers and consumers to understand how devices handle modern AI tasks under realistic conditions.

⚙ Measure AI on CPU, GPU, or NPU

Geekbench AI breaks down performance across your entire hardware stack:

• Test CPU performance

• Benchmark GPU acceleration

• Measure dedicated NPU (Neural Processing Unit) performance

You can also select from available AI frameworks on your device, such as Core ML or QNN, to evaluate how different frameworks impact performance.

Developers can identify the optimal hardware and framework combinations for specific workloads, while consumers can clearly see the benefits of dedicated AI hardware.

🌍 Cross-Platform Comparison

Geekbench AI runs identical workloads across:

• Android

• iOS

• Windows

• macOS

• Linux

Whether you’re benchmarking a low-power smartphone NPU or a high-performance workstation with extensive AI compute resources, Geekbench AI enables direct, apples-to-apples performance comparisons using its online results browser.

Key Features:

• Real-World AI Workloads
  Runs 10 practical machine learning tests that simulate real-world AI applications.

• Multi-Precision Scoring
  Generates Single Precision, Half Precision, and Quantized scores for a complete performance profile.

• CPU, GPU & NPU Benchmarking
  Measure AI performance across your entire hardware stack, including dedicated neural processors.

• Framework Selection
  Test available AI frameworks such as Core ML or QNN to evaluate performance differences.

• Cross-Platform Testing
  Identical workloads run on Android, iOS, Windows, macOS, and Linux for fair comparisons.

• On-Device AI Evaluation
  Assess how well your device handles modern machine learning tasks locally.

• Results Browser & Comparison Tools
  Instantly compare performance across devices using the Geekbench AI online results browser.

• Fast, Reliable Testing
  Get comprehensive AI performance results in just minutes.

Compatibility: macOS 13.0 or later
Homepage https://www.geekbench.com/