Benchmarks should be boring—in the best way. Geekbench Pro is the one you run across devices and OSes, then forget about until you need the number again. The latest version continues Geekbench’s cross-platform DNA: modern CPU workloads (AR, ML, image processing), a unified GPU Compute test (OpenCL, Vulkan, Metal), and the Pro extras that teams actually use—automation, standalone mode, and offline results management. Pin one full version, keep release notes handy, and stash installer checksums so every run is apples-to-apples across your lab.
Exploring more diagnostics and stress tools? See ourBenchmarking & Monitoringcategory for adjacent picks and workflows.
Key Features
Real-world CPU workloads — single- and multi-core tests span everyday tasks and modern domains (AR, ML, image ops), so the score tracks how people actually use machines—not just synthetic loops.
Unified GPU Compute — one suite across OpenCL, Vulkan, and Metal lets you compare GPU compute potential for editing, imaging, and general acceleration. (Good for a quick free download smoke test.)
Geekbench Pro extras — Benchmark Automation, Standalone Mode, and offline results management for repeatable test plans and air-gapped workflows. (Great fit for standalone installer rollouts.)
Cross-platform by design — Windows, macOS, Linux, iOS, Android builds share the same benchmark model; the Geekbench Browser centralizes results and comparisons.
Clear scoring model — normalized scores (higher = better) with a stable baseline and public leaderboards for CPU and GPU (OpenCL/Metal/Vulkan).
Update discipline — frequent latest version notes document changes that impact comparability, so your lab can decide when to stay or step forward.
What’s New
Instruction-set usage reporting so you can see what extensions (AVX2/AVX-512/SME/RVV) were used during runs.
RISC-V Vector Extensions support for CPUs that implement RVV.
Improved Arm SME handling (now works with SME or SME+SME2), better Linux CPU-topology detection.
Free Download — Geekbench Pro 6.4.0
Free Download — full version standalone installer; standalone mode available (no login).
Pro Tips
Lock the environment. Record OS build, drivers, power plan, and background tasks. Change one variable at a time; otherwise the number lies.
Pin the version. Keep a tiny version.txt with app build + release notes link and installer checksums; update all bays together after deliveries.
Don’t cross the streams. Avoid comparing results across different Geekbench major versions (e.g., 5 vs 6). Use the same version for A/B tests.
GPU API parity. If you’re checking GPU compute, run the same API (OpenCL vs Vulkan vs Metal) on each system so the comparison reflects hardware, not API quirks.
Automate runs. Use Pro automation + Standalone Mode for scripted, offline loops on clean images; it reduces test drift in shared labs.
Comparisons with Similar Tools
AIDA64 Extreme — deep diagnostics, sensors, stress; Geekbench Pro is faster for cross-platform CPU/GPU snapshots and shared online results.
PassMark PerformanceTest — broad PC suite with disk/mem/2D/3D tests; Geekbench focuses on modern CPU workloads and a unified Compute test for OpenCL/Vulkan/Metal.
3DMark Professional — gold standard for gaming/graphics scenarios; Geekbench is broader across devices and excels at CPU + general GPU compute baselines.
System Requirements
Notes: GPU Compute supports OpenCL/Vulkan/Metal depending on platform; keep graphics drivers current for consistent results..
Windows: Windows 10 (64-bit) or later; 4 GB RAM; AMD/ARM/Intel CPU.
macOS: macOS 11 or later; 4 GB RAM; Apple silicon or Intel.
Linux: Ubuntu 18.04 LTS (64-bit) or later; 2 GB RAM; AMD or Intel CPU.
Frequently Asked Questions about Geekbench Pro
1. Can I compare scores across different Geekbench versions?
No. Stick to the same major version (e.g., all on 6.x) for comparability
2. Is Geekbench Pro required for automation and offline workflows?
Yes—those features (automation, standalone mode, offline results) are part of the Pro edition.
3. Where do I find exact build changes?
In the official release notes—that’s the source of truth for what changed and when.
4. Which GPU API should I use?
Use the same API across systems you’re comparing—OpenCL, Vulkan, or Metal—so your results reflect hardware, not API differences.
