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Geekbench 4 workload types

Benchmarking tests or workloads are divided into two main types, one is for the CPU and memory, the other is for the GPU.

CPU Benchmark

CPU Benchmark scores are used to evaluate and optimize CPU and memory performance using workloads that include artificial intelligence, data compression, image processing, and physics simulation. Performance on these workloads is important for a wide variety of applications including web browsers, image editors, and developer tools.

Geekbench 4 groups CPU workloads into two sections:

  • Geekbench provides a comprehensive set of benchmarks engineered to quickly and accurately measure processor and memory performance. Designed to make benchmarks easy to run and easy to understand, Geekbench takes the guesswork out of producing robust and reliable benchmark results. Older version, saved here for archiving.
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Geekbench 5 measures your processor's single-core and multi-core power, for everything from checking your email to taking a picture to playing music, or all of it at once. Geekbench 5's CPU benchmark measures performance in new application areas including Augmented Reality and Machine Learning, so you'll know how close your system is to the. Download Latest Version of Geekbench for Free! Works with all Windows(10,7,8/8.1,Vista) versions.

  1. Single-Core Workloads.
  2. Multi-Core Workloads.

Each section is grouped into four subsections:

  1. Cryptography Workloads, with 5% weight of the final score.
  2. Integer Workloads, with 45% weight of the final score.
  3. Floating-Point Workloads, with 30% weight of the final score.
  4. Memory Workloads, with 20% weight of the final score.

Geekbench inserts a pause (or gap) between each workload to minimize the effect thermal issues have on workload performance. Without this gap, workloads that appear later in the benchmark would have lower scores than workloads that appear earlier in the benchmark.

The default gap is 2 seconds for both single-core and multi-core workloads.

Compute Benchmark

Compute Benchmark scores are used to evaluate and optimize GPU Compute performance using workloads that include image processing, computational photography, computer vision, and machine learning. Performance in these workloads is important for a wide variety of applications including cameras, image editors, and real-time renderers.

System requirements

To run the Windows version of Geekbench your system needs to have:

  • Windows 7 or later.
  • Intel Pentium 4 or later.
  • 2GB of RAM or more.

Geekbench features

  • Simple and easy to use UI.
  • A complete set of tests to benchmark the entire system.
  • Used by major tech companies such as AMD, ARM, Microsoft and many more.
  • Allows the user to easily share the results with others to compare systems.
  • Cross-platform software, Geekbench works on Windows, Linux, Mac, iOS, and Android.

Download Geekbench the benchmarking software

Download Geekbench 4 benchmarking software by clicking the download button on this page. To get the latest version of Geekbench 4 via Downzen, all you have to do is click the download button.

We are excited to announce that Geekbench 4.1 is now available for download from the Geekbench website! This update brings Metal Compute Benchmarks to iOS and macOS, as well as changes to several of the CPU and Compute workloads.

Geekbench 4.1 includes the following changes:

  • Improve support for Ryzen processors

  • Fix memory leaks in OpenCL workloads

  • Fix a crash that could occur on Skylake-E processors

  • Fix crashes that could occur when running Compute Benchmarks on low-end GPUs.

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CPU Workload Changes

Geekbench

Geekbench 4.1 includes the following changes to the CPU workloads:

  • Build Geekbench for Linux with Clang 3.9.

  • Build Geekbench for Android with Android NDK 13b.

  • Build Geekbench for iOS, macOS with Xcode 8.2.

  • Enabled AArch32 cryptography instructions in Android ARMv7 build.

  • Change Memory Latency workload to avoid cache hits on Cortex A72, A73.

  • Report Memory Latency workload performance in nanoseconds.

  • Add AVX512 implementations to FFT, GEMM workloads.

  • Disable SQLite cache statistics to improve multi-core scalability.

  • Disable LLVM runtime assertions to improve multi-core scalability.

Users can expect a 2% increase in single-core scores, and at least a 5% increase in multi-core scores. Note that the multi-core score increase depends on the number of processor cores – systems with more cores will see a larger increase in the multi-core score.

For more information about the CPU workloads, please refer to our CPU Workload whitepaper.

Compute Workload Changes

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Geekbench 4.1 includes the following changes to the Compute workloads:

  • Consolidate optimization code for CUDA, Metal, and OpenCL workloads.

  • Convert Histogram Equalization, Sobel to use RenderScript intrinsics.

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Users can expect a 35% increase in RenderScript scores, and a 5% increase in OpenCL and CUDA scores with Geekbench 4.1. These changes should also eliminate crashes on systems with low-end GPUs.

For more information about the Compute workloads, please refer to our Compute Workload whitepaper.

Comparing Geekbench 4 Scores

For the most accurate comparisons, we strongly recommend that users not compare Geekbench 4.0 scores with Geekbench 4.1 scores. While comparing overall scores may provide a rough approximation, comparing individual workload scores is strongly discouraged.

We do not expect to make any workload changes in future versions of Geekbench 4, so Geekbench 4.1.0 scores should be comparable against scores from all future releases of Geekbench 4.