Geekbench 5 uses several workloads to measure Compute performance using the OpenCL, CUDA, Vulkan, and Metal Compute APIs. :p). Does this answer refer to "OpenGL/GSLS" or just OpenGL? Version 0.2 tests sequential write and read speeds. AMD Radeon Vega Frontier Edition Review Powerful OpenCL - ServeTheHome The OpenCL score remains the same - is there a problem? Nvidia is more focused on General Purpose GPU Programming, AMD is more focused on gaming. OpenCL exposes you to almost exactly what's going on.' Cant't tell you without seeing your hardware configuration. My specific experience of this has been doing image filter (gather) kernels across AMD, nVidia, IMG and Qualcomm GPUs. The score you get is simply the number of mega kernel loops (10^6) per second that your CPU can process (using 12 threads). For instance, if you intend to perform only light productivity tasks and don't need to multitask very much, you probably only need a laptop with a dual-core, 2-thread CPU. Sorry, just joking. Crytek uses a "software" implementation of a depth buffer) fixed function hardware can manage memory just fine (and usually a lot better than someone who isn't working for a GPU hardware company could) and is just vastly superior in most cases. If your algorithm can be expressed in OpenGL graphics (e.g. While it is possible to compare scores across APIs (e.g., a OpenCL score with a Metal score) it is important to keep in mind that due to the nature of Compute APIs the performance difference can be due to more than differences in the underlying hardware (e.g., the GPU driver can have a huge impact on performance). A complete description of the individual Geekbench 5 Compute workloads can be found here. Updated Jan 25, 2023 - A refurbished Android phone like the S9 is still a good value . The performance of general OpenCL applications on CPUs lags behind the performance expected by programmers considering conventional parallel programming models. The Geekbench Compute Benchmark, developed by Primate Labs, measures the performance of GPUs performing common compute tasks, e.g. What remains to be seen is actual real-world gaming performance. When comparing scores, remember that higher scores are better, and double the score indicates double the performance.