6/24/2023 0 Comments Linux opencl benchmark results![]() Measures the performance of the GPU's own device memory, effectively measuring the performance the GPU can copy data from its own device memory to another place in the same device memory. The CPU benchmark measures memory write bandwidth, that is, how fast the CPU can write data into the system memory. ![]() It is also called Host-to-Device Bandwidth. ![]() Measures the bandwidth between the CPU and the GPU device, effectively measuring the performance the GPU can copy data from the system memory into its own device memory. The CPU benchmark measures memory read bandwidth, that is, how fast the CPU can read data from the system memory. It is also called Device-to-Host Bandwidth. Measures the bandwidth between the GPU device and the CPU, effectively measuring the performance the GPU can copy data from its own device memory into the system memory. The CPU benchmarks are heavily multi-threaded, and are optimized for each CPU architecture introduced since the first Pentium.Ĭurrently, the following benchmark tests are available: Memory Read These CPU benchmarks are very similar to the old AIDA64 CPU and FPU benchmarks, but this time they measure maximum computing performance (FLOPS, IOPS). However, the CPU benchmarks do not use OpenCL, but are written in native x86/圆4 machine code, utilizing available instruction set extensions such as SSE, AVX, AVX2, FMA and XOP. For the compilation, the following OpenCL compiler options are passed: -cl-fast-relaxed-math -cl-mad-enable.įor comparison purposes, the GPGPU Benchmark Panel offers CPU measurements as well. Because of this, it is always recommended to have all video drivers (Catalyst, ForceWare, HD Graphics, etc.) updated to their latest version. The OpenCL kernels used for these benchmarks are compiled in real-time, using the GPU's OpenCL driver. Instead, the AIDA64 OpenCL module relies on the OpenCL compiler which optimizes the OpenCL kernel to run best on the underlying hardware. Basically, any computing device that is listed as a GPU among the OpenCL devices will be benchmarked.Ĭurrent OpenCL benchmarks are not optimized for any GPU architecture. Of course, CrossFire and SLI configurations as well as both dGPUs and APUs are fully supported. Currently, there is only preliminary support for HSA configurations. Each individual benchmark can be run on up to 16 GPUs, including AMD, Intel and NVIDIA GPUs, or the combination of these. These are designed to measure GPGPU computing performance using various OpenCL workloads. This benchmark panel, which can be launched from Tools | GPGPU Benchmark, offers a set of OpenCL GPGPU benchmarks.
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