Geekbench currently supports the following Compute APIs: OpenCL, CUDA, Metal, and RenderScript. ![]() Geekbench 4 uses several workloads to measure Compute performance.Įach Compute workload has an implementation for each supported Compute API. Software working with large data structures (e.g., digital content creation) or with referential data structures (e.g., databases, web browsers) rely on good memory performance to keep the processor busy.Ī complete description of the individual Geekbench 4 CPU workloads can be found on the Geekbench website. Memory Memory workloads measure memory latency and bandwidth. While almost all software makes use of floating point instructions, floating point performance is especially important in video games, digital content creation, and high-performance computing applications. All software makes heavy use of integer instructions, meaning a high integer score indicates good overall performance.įloating Point Floating point workloads measure floating point performance by performing a variety of processor-intensive tasks that make heavy use of floating-point operations. Integer Integer workloads measure the integer instruction performance of your computer by performing processor-intensive tasks that make heavy use of integer instructions. While not all software uses crypto instructions, the software that does can benefit enormously from it. The workloads are divided into four different subsections:Ĭrypto Crypto workloads measure the crypto instruction performance of your computer by performing cryptography tasks that make heavy use of crypto instructions. Geekbench 4 uses a number of different tests, or workloads, to measure CPU performance. ![]() Geekbench 4 battery scores are not calibrated against a specific system. Geekbench 4 CPU and Compute scores are calibrated using a Microsoft Surface Book with an Intel Core i7-6600U processor as a baseline with a score of 4,000 points. With Geekbench 4, higher scores are better, with double the score indicating double the performance.
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