NVIDIA GPU Compute

Some benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009116-FI-GPUCOMPUT55
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 14 Tests
OpenCL 6 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 950
September 10 2020
  1 Hour, 38 Minutes
GTX 960
September 10 2020
  1 Hour, 43 Minutes
GTX 970
September 06 2020
  2 Hours, 9 Minutes
GTX 980
September 07 2020
  1 Hour, 34 Minutes
GTX 980 Ti
September 07 2020
  1 Hour, 29 Minutes
GTX TITAN X
September 09 2020
  1 Hour, 28 Minutes
GTX 1050 Ti
September 10 2020
  1 Hour, 48 Minutes
GTX 1060
September 08 2020
  1 Hour, 32 Minutes
GTX 1070
September 07 2020
  1 Hour, 26 Minutes
GTX 1070 Ti
September 06 2020
  1 Hour, 31 Minutes
GTX 1080
September 07 2020
  1 Hour, 23 Minutes
GTX 1650
September 09 2020
  1 Hour, 45 Minutes
GTX 1650 SUPER
September 08 2020
  1 Hour, 35 Minutes
GTX 1660
September 09 2020
  1 Hour, 47 Minutes
GTX 1660 SUPER
September 07 2020
  1 Hour, 30 Minutes
GTX 1660 Ti
September 09 2020
  1 Hour, 31 Minutes
RTX 2060
September 08 2020
  1 Hour, 42 Minutes
RTX 2060 SUPER
September 09 2020
  1 Hour, 25 Minutes
RTX 2070
September 09 2020
  1 Hour, 25 Minutes
RTX 2070 SUPER
September 08 2020
  1 Hour, 26 Minutes
RTX 2080
September 08 2020
  1 Hour, 25 Minutes
RTX 2080 SUPER
September 08 2020
  1 Hour, 39 Minutes
RTX 2080 Ti
September 07 2020
  1 Hour, 24 Minutes
TITAN RTX
September 06 2020
  1 Hour, 24 Minutes
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  1 Hour, 34 Minutes

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NVIDIA GPU Compute Suite 1.0.0 System Test suite extracted from NVIDIA GPU Compute. system/darktable-1.0.4 bench.SRW output.jpg --core -d opencl -d perf Test: Boat - Acceleration: OpenCL pts/mixbench-1.1.1 mixbench-cuda-ro HPGFLOPS Backend: NVIDIA CUDA - Benchmark: Half Precision pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/mixbench-1.1.1 mixbench-ocl-ro SPGFLOPS Backend: OpenCL - Benchmark: Single Precision pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/cl-mem-1.0.1 READ Benchmark: Read pts/mixbench-1.1.1 mixbench-ocl-ro DPGFLOPS Backend: OpenCL - Benchmark: Double Precision pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/mixbench-1.1.1 mixbench-cuda-ro SPGFLOPS Backend: NVIDIA CUDA - Benchmark: Single Precision pts/octanebench-1.2.1 Total Score pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/luxcorerender-cl-1.2.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg Scene: LuxCore Benchmark pts/luxcorerender-cl-1.2.0 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/plaidml-1.0.4 --no-fp16 --no-train inception_v3 OPENCL FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL pts/luxcorerender-cl-1.2.0 Food/LuxCoreScene/render.cfg Scene: Food pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter 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/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/neatbench-1.0.4 gpu Acceleration: GPU pts/arrayfire-1.1.0 blas_opencl Test: BLAS OpenCL pts/mixbench-1.1.1 mixbench-cuda-ro DPGFLOPS Backend: NVIDIA CUDA - Benchmark: Double Precision system/darktable-1.0.4 server_room.NEF output.jpg --core -d opencl -d perf Test: Server Room - Acceleration: OpenCL pts/luxcorerender-cl-1.2.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/plaidml-1.0.4 --no-fp16 --no-train vgg19 OPENCL FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL pts/gromacs-gpu-1.1.0 Water Benchmark pts/plaidml-1.0.4 --no-fp16 --train mobilenet OPENCL FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL pts/namd-cuda-1.1.0 ATPase Simulation - 327,506 Atoms pts/mixbench-1.1.1 mixbench-ocl-ro GIOPS Backend: OpenCL - Benchmark: Integer pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 OPENCL FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL pts/financebench-1.0.0 Monte-Carlo/OpenCL/monteCarloEngine.exe Benchmark: Monte-Carlo OpenCL pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/mixbench-1.1.1 mixbench-cuda-ro GIOPS Backend: NVIDIA CUDA - Benchmark: Integer pts/lczero-1.5.0 -b opencl Backend: OpenCL system/darktable-1.0.4 server-rack.dng output.jpg --core -d opencl -d perf Test: Server Rack - Acceleration: OpenCL system/darktable-1.0.4 masskrug.NEF output.jpg --core -d opencl -d perf Test: Masskrug - Acceleration: OpenCL pts/rodinia-1.3.1 OCL_MYOCYTE Test: OpenCL Myocyte pts/rodinia-1.3.1 CUDA_MYOCYTE Test: NVIDIA CUDA GPU Myocyte pts/viennacl-1.0.0 OpenCL LU Factorization pts/daphne-1.0.0 Cuda euclidean_cluster Backend: NVIDIA CUDA - Kernel: Euclidean Cluster pts/daphne-1.0.0 OpenCl euclidean_cluster Backend: OpenCL - Kernel: Euclidean Cluster pts/daphne-1.0.0 OpenCl ndt_mapping Backend: OpenCL - Kernel: NDT Mapping pts/daphne-1.0.0 OpenCl points2image Backend: OpenCL - Kernel: Points2Image pts/daphne-1.0.0 Cuda ndt_mapping Backend: NVIDIA CUDA - Kernel: NDT Mapping pts/daphne-1.0.0 Cuda points2image Backend: NVIDIA CUDA - Kernel: Points2Image pts/financebench-1.0.0 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL