The utility is free- and a good measure of if you have your graphics working the way they should. After Anandtech adoption of SLG as OpenCL benchmark, the code was finally written by David 'Dade' Bucciarelli. The idea was quite simple, wrap SLG inside an easy to use graphical user interface and use it as a benchmark for OpenCL. It was intended as a promotional tool for LuxRender (to quote original Jromang's words: "LuxRender propaganda with OpenCL"). CompuBench - performance benchmark for various compute APIs (OpenCL, RenderScript) CompuBench measures the compute performance of your OpenCL and CUDA device. GpuTest can also be launched from the command line under. Die Aufgabe in dem Benchmark die die GPU und CPU zu erledigen haben ist folgende: Es wird eine Datenbank erstellt mit 10000000 verschiedenen Zahlen. GpuTest is a cross-platform (Windows, Linux and Max OS X) GPU stress test and OpenGL benchmark. The data on this chart is calculated from Geekbench 5 results users have uploaded to the Geekbench Browser. ![]() The idea for the program was conceived in 2009 by Jean-Francois 'Jromang' Romang. Der GPU Benchmark wurde in OpenCL geschrieben und nutzt 10000000 threads. Welcome to the Geekbench OpenCL Benchmark Chart. It is support for Linux, macOS and Windows. Post your system's OpenCL benchmarks on OS X using Luxmark. OpenCL is an API which allows portable usage of GPU computing resources. ![]() Like Blender, we also used the actual OctaneRender application to tests a heavier workload than what is included with the standard benchmark.Building a CustoMac Hackintosh: Buyer's Guide This tool leverages the RT cores inside the GPUs when available and runs through a series of models to produce an overall, average score. OTOY's OctaneBench is a standalone tool that gives users the ability to benchmark CPUs or NVIDIA GPUs using the company's OctaneRender engine. With this workload, the GeForce RTX 3090's additional compute resources and 24GB frame buffer come into play, and it ends up being roughly 3x - 4x faster than the GeForce RTX 3080 or Titan RTX. ![]() Moving over to a larger, much more complex model and performing a simultaneous viewport and final renders with Blender tells a totally different story. However, both cards are much faster than the Titan RTX. That lead shrinks down to the less than 5% using OPTIX. Here, the GeForce RTX 3090 is about 16% faster than the RTX 3080 when using CUDA. CompuBench is the first professional OpenCL benchmark to test and compare the parallel compute performance of CPUs, GPUs and accelerators of desktop devices. CUDA obviously leverages the GeForce's CUDA cores, while OPTIX also incorporates the RT engines. In the two charts above, we have results from BlenderBench using the Classroom and BMW models, using either the CUDA or OPTIX code paths. Previously, using the CUDA code path with NVIDIA GPUs resulted in better performance, but OpenCL actually outperforms it in these tests now. CUDA and OpenCL code paths are available in these tests, but we used OpenCL on all cards to keep the playing field level. The Scientific Analysis benchmark runs though an array of General Matrix Multiply (GEMM), N-Body Simulations (NBDY), and Fast Fourier Transformation ops and reports the overall speed in FLOPs. SANDRA's GPGPU Image Processing benchmark runs through an array of filters on its reference data and offers up an aggregate score, derived from a multitude of individual results. A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL) - GitHub - ekondis/mixbench: A GPU benchmark tool. Scientific Analysis And Image Processing OpenCL Tests Its as easy as running the phoronix-test-suite benchmark opencl command. IndigoBench screenshot IndigoBench on Windows. Die besten Benchmark-Tools für Windows 10 im Überblick 1.1. 3DMark (Time Spy, Fire Strike, Port Royal) Visit the benchmark results page to see user-submitted benchmark results for various GPUs and CPUs.
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