NVIDIA GPU Compute OpenCL CUDA Benchmarks

Some benchmarks by Michael Larabel tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009112-FI-ROCMGPUCO10

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NVIDIA GPU Compute OpenCL CUDA Benchmarks Suite 1.0.0 System Test suite extracted from NVIDIA GPU Compute OpenCL CUDA Benchmarks. pts/lczero-1.5.0 -b opencl Backend: OpenCL pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/cl-mem-1.0.1 READ Benchmark: Read pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/mixbench-1.1.1 mixbench-cuda-ro HPGFLOPS Backend: NVIDIA CUDA - Benchmark: Half Precision pts/mixbench-1.1.1 mixbench-ocl-ro DPGFLOPS Backend: OpenCL - Benchmark: Double Precision pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/mixbench-1.1.1 mixbench-ocl-ro SPGFLOPS Backend: OpenCL - Benchmark: Single Precision pts/luxcorerender-cl-1.2.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/mixbench-1.1.1 mixbench-cuda-ro DPGFLOPS Backend: NVIDIA CUDA - Benchmark: Double Precision pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/mixbench-1.1.1 mixbench-cuda-ro SPGFLOPS Backend: NVIDIA CUDA - Benchmark: Single Precision pts/financebench-1.0.0 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/octanebench-1.2.1 Total Score pts/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/fahbench-1.0.1 pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 OPENCL FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL pts/neatbench-1.0.4 gpu Acceleration: GPU pts/luxcorerender-cl-1.2.0 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/luxcorerender-cl-1.2.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg Scene: LuxCore Benchmark pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/luxcorerender-cl-1.2.0 Food/LuxCoreScene/render.cfg Scene: Food pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/plaidml-1.0.4 --no-fp16 --train mobilenet OPENCL FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL pts/gromacs-gpu-1.1.0 Water Benchmark pts/mixbench-1.1.1 mixbench-ocl-ro GIOPS Backend: OpenCL - Benchmark: Integer pts/mixbench-1.1.1 mixbench-cuda-ro GIOPS Backend: NVIDIA CUDA - Benchmark: Integer pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/namd-cuda-1.1.0 ATPase Simulation - 327,506 Atoms pts/viennacl-1.0.0 OpenCL LU Factorization