NVIDIA GeForce GTX 760/960/1060 / RTX 2060 Linux Gaming & Compute Performance NVIDIA's Linux DriverĪMDGPU-PRO 18.50 vs. Radeon ROCm 2.0 OpenCL Benchmarks With Linux 5.0 On Ubuntu 18.10 vs. NVIDIA GeForce GTX 1660 Ti OpenCL Benchmarks, 14-Way NVIDIA/AMD GPU Compute TestsĪMD Radeon VII Linux Benchmarks - Powerful Open-Source Graphics For Compute & Gaming The Current Radeon RX Vega 64 / Radeon VII Linux OpenCL Performance Against NVIDIAīenchmarking The Current Intel OpenCL NEO Driver Compute Performance On Ubuntu 19.04 GeForce RTX SUPER Linux Compute Performance - 18 GPU NVIDIA OpenCL Comparison NVIDIA GeForce GTX 1650 SUPER Linux Performanceīlender 2.81 Benchmarks On 19 NVIDIA Graphics Cards - RTX OptiX Rendering Performance Is Incredible OpenCL 3.0 Bringing Greater Flexibility, Async DMA Extensions NVIDIA 450 Series Linux Driver OpenCL/CUDA/OptiX Performance On Pascal/Turing NVIDIA 24-Way GPU Comparison With Many OpenCL, CUDA Workloads NVIDIA GeForce RTX 3080 Offers Up Incredible Linux GPU Compute Performance Intel Xe Graphics' Incredible Performance Uplift From OpenCL To oneAPI Level Zero To Vulkan Radeon RX 6800 Series Has Excellent ROCm-Based OpenCL Performance On Linux Radeon RX 6800 Series Performance Comes Out Even Faster With Newest Linux Code ![]() NVIDIA RTX 30 Series OpenCL / CUDA / OptiX Compute + Rendering Benchmarks LuxCoreRender 2.5 OptiX Performance Tested With 19 NVIDIA GPUs The procedure described in repository and repository can be used to compile LuxMark too.OpenCL is an cross-vendor open API for parallel programming of heterogeneous systems - mostly GPUs and CPUs at present - and the standard is enriched by the Khronos Group.Īdditional Information: OpenCL Articles & Reviews It has exactly the same dependencies (i.e. LuxMark can be compiled exactly like LuxCoreRender. the sources are available here: (tag: luxmark_v4.0) Linux 64bit: ( Note: You have to install Qt5 from your distribution in order to run the Linux executable) Windows 64bit: ( Note: you have to install the Microsoft Visual C++ Redistributable for Visual Studio 2017 in order to run the Windows executable) ext-info (print scene and image verification too with -single-run) single-run (run the benchmark, print the result to the stdout and exit) mode=BENCHMARK_OCL_GPU|BENCHMARK_OCL_CPUGPU|BENCHMARK_OCL_CPU|BENCHMARK_OCL_CUSTOM|BENCHMARK_HYBRID|BENCHMARK_HYBRID_CUSTOM|BENCHMARK_NATIVE|STRESSTEST_OCL_GPU|STRESSTEST_OCL_CPUGPU|STRESSTEST_OCL_CPU|STRESSTEST_HYBRID|STRESSTEST_NATIVE|DEMO_LUXCOREUI|PAUSE (select the mode to use) scene=FOOD|HALLBENCH|WALLPAPER (select the scene to use) However Intel OpenImageDenoise is a CPU-only task and it is not part of the benchmark result.Ĭommand line options Usage. A comparison between raw and denoised image is shown at the end of the benchmark or during the stress test.
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