Geekbench

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Overview

Geekbench is a cross-platform benchmarking utility developed by Primate Labs for measuring CPU and GPU performance on computers, laptops, tablets, and phones. It supports macOS, Windows, Linux, Android, and iOS, using workloads that simulate real-world scenarios and providing separate single-core and multi-core scores. Free versions require uploading results online, while corporate licenses are available for offline use.

History

Geekbench was developed by Primate Labs, based in Toronto, initially as a cross-platform benchmark for Mac OS X and Windows. Support was later added for Android, iOS, and Linux. Geekbench 4 introduced GPU benchmarking for tasks like image processing, Geekbench 5 dropped 32-bit x86 support, and Geekbench 6 enhanced overall measurement capabilities. In 2024, Primate Labs released Geekbench AI 1.0 for machine learning and AI workloads.

Product Lines

Product LinePositioningPrice Range
Geekbench 6 (CPU/GPU Benchmark)Cross-platform processor and graphics performance testerFree (basic); $10-$100 (pro/corporate)
Geekbench AI (AI Benchmark)Machine learning and deep learning workload benchmarkFree (basic); Paid licenses

Manufacturing

As a software company, Geekbench products are developed in-house by Primate Labs in Toronto, Canada, with no physical manufacturing involved. Distribution occurs digitally via downloads from geekbench.com for desktop and mobile platforms.

Notable Products

  • Geekbench 6 - Current flagship benchmark measuring CPU and GPU performance across platforms with real-world workloads.
  • Geekbench AI 1.0 - AI-specific benchmark for machine learning, deep learning, and AI tasks on desktop and mobile.
  • Geekbench Browser - Online platform to share, organize, and compare Geekbench benchmark results globally.

Reputation

Geekbench is widely used by hardware enthusiasts, reviewers, and professionals for its consistent cross-platform benchmarking and real-world workload simulation. It holds a strong reputation for reliability in comparing device performance. Some users note limitations like required online uploads for free versions and occasional debates over workload relevance to specific use cases.

Sources (9)
  1. https://en.wikipedia.org/wiki/Geekbench
  2. https://www.zoominfo.com/c/geekbench/461595940
  3. https://www.geekbench.com/blog/2024/08/geekbench-ai/
  4. https://www.cdomagazine.tech/aiml/geekbench-launches-ai-benchmarking-tool
  5. https://www.geekbench.com
  6. https://browser.geekbench.com
  7. https://www.statista.com/topics/11083/geekbench/
  8. https://www.geekbench.com/corporate/
  9. https://www.primatelabs.com