heikows3-2023-08-18-nvidia-gpu-compute

AMD EPYC 7313 16-Core testing with a GIGABYTE MZE2-G10-00 v01010101 (M07 BIOS) and ASPEED 45GB on Debian 12 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308184-NE-HEIKOWS3219
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heikows3-2023-08-18-nvidia-gpu-compute
August 18 2023
  9 Hours, 1 Minute
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heikows3-2023-08-18-nvidia-gpu-compute

Processor: AMD EPYC 7313 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: GIGABYTE MZE2-G10-00 v01010101 (M07 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E7, Disk: 7682GB Micron_7450_MTFDKCC7T6TFR + 1920GB Micron_7450_MTFDKBG1T9TFR, Graphics: ASPEED 45GB, Network: 2 x Intel I350

OS: Debian 12, Kernel: 6.2.16-3-pve (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.2.79, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 640x480

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa00115d
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 95.02.39.00.01
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

heikows3-2023-08-18-nvidia-gpu-computeOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7313 16-Core @ 3.00GHz (16 Cores / 32 Threads)GIGABYTE MZE2-G10-00 v01010101 (M07 BIOS)AMD Starship/Matisse8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E77682GB Micron_7450_MTFDKCC7T6TFR + 1920GB Micron_7450_MTFDKBG1T9TFRASPEED 45GB2 x Intel I350Debian 126.2.16-3-pve (x86_64)X ServerNVIDIAOpenCL 3.0 CUDA 12.2.79GCC 12.2.0ext4640x480ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerDisplay DriverOpenCLCompilerFile-SystemScreen ResolutionHeikows3-2023-08-18-nvidia-gpu-compute BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa00115d- BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 95.02.39.00.01- Python 3.11.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

heikows3-2023-08-18-nvidia-gpu-computeneatbench: GPUviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sCOPYviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNfinancebench: Black-Scholes OpenCLluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Orange Juice - GPUluxcorerender: Danish Mood - GPUluxcorerender: DLSC - GPUarrayfire: Conjugate Gradient OpenCLrodinia: OpenCL Particle Filterlczero: OpenCLclpeak: Global Memory Bandwidthclpeak: Double-Precision Doubleclpeak: Single-Precision Floatclpeak: Integer Compute INTfahbench: cl-mem: Writecl-mem: Readcl-mem: Copyshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Max SP Flopsshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Reductionshoc: OpenCL - MD5 Hashshoc: OpenCL - FFT SPshoc: OpenCL - Triadshoc: OpenCL - S3Dhashcat: TrueCrypt RIPEMD160 + XTShashcat: SHA-512hashcat: 7-Ziphashcat: SHA1hashcat: MD5ncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sCOPYmixbench: OpenCL - Integerheikows3-2023-08-18-nvidia-gpu-compute12611801190394196621624546774125387971.874.169.573.72.79127.3212.8212.7212.8714.661.1272.13737362670.251412.3282945.3240540.41395.1747449.8697.2354.22715.4026.313026.756187811.923502.1877.57299.46522134.9025.1750527.277146456753173000002064433437597333331255666666678.4098.4615.3812.4424.5516.377.888.7130.2914.862.527.875.337.416.335.2717.00233202.0313.44112742521042764OpenBenchmarking.org

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute306090120150SE +/- 0.00, N = 3126

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNheikows3-2023-08-18-nvidia-gpu-compute30060090012001500SE +/- 0.00, N = 311801. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNheikows3-2023-08-18-nvidia-gpu-compute30060090012001500SE +/- 0.00, N = 311901. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Theikows3-2023-08-18-nvidia-gpu-compute90180270360450SE +/- 0.33, N = 33941. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Nheikows3-2023-08-18-nvidia-gpu-compute4080120160200SE +/- 0.00, N = 31961. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTheikows3-2023-08-18-nvidia-gpu-compute130260390520650SE +/- 0.33, N = 36211. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYheikows3-2023-08-18-nvidia-gpu-compute130260390520650SE +/- 0.00, N = 36241. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYheikows3-2023-08-18-nvidia-gpu-compute120240360480600SE +/- 0.33, N = 35461. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTheikows3-2023-08-18-nvidia-gpu-compute170340510680850SE +/- 0.33, N = 37741. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYheikows3-2023-08-18-nvidia-gpu-compute30060090012001500SE +/- 3.33, N = 312531. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYheikows3-2023-08-18-nvidia-gpu-compute2004006008001000SE +/- 0.00, N = 38791. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTheikows3-2023-08-18-nvidia-gpu-compute1632486480SE +/- 0.48, N = 1371.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNheikows3-2023-08-18-nvidia-gpu-compute1632486480SE +/- 0.35, N = 1274.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTheikows3-2023-08-18-nvidia-gpu-compute1530456075SE +/- 0.56, N = 1369.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNheikows3-2023-08-18-nvidia-gpu-compute1632486480SE +/- 0.55, N = 1373.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLheikows3-2023-08-18-nvidia-gpu-compute0.6281.2561.8842.5123.14SE +/- 0.004, N = 32.7911. (CXX) g++ options: -O3 -march=native -fopenmp

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute612182430SE +/- 0.26, N = 327.32MIN: 25.15 / MAX: 29.06

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute3691215SE +/- 0.02, N = 312.82MIN: 3.62 / MAX: 15.6

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute3691215SE +/- 0.03, N = 312.72MIN: 11.03 / MAX: 16.62

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute3691215SE +/- 0.18, N = 312.87MIN: 3.79 / MAX: 15.91

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUheikows3-2023-08-18-nvidia-gpu-compute48121620SE +/- 0.00, N = 314.66MIN: 14.04 / MAX: 14.8

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLheikows3-2023-08-18-nvidia-gpu-compute0.25360.50720.76081.01441.268SE +/- 0.008, N = 121.1271. (CXX) g++ options: -rdynamic

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle Filterheikows3-2023-08-18-nvidia-gpu-compute0.48080.96161.44241.92322.404SE +/- 0.021, N = 142.1371. (CXX) g++ options: -O2 -lOpenCL

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLheikows3-2023-08-18-nvidia-gpu-compute8K16K24K32K40KSE +/- 337.61, N = 3373621. (CXX) g++ options: -flto -pthread

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory Bandwidthheikows3-2023-08-18-nvidia-gpu-compute140280420560700SE +/- 0.03, N = 3670.251. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision Doubleheikows3-2023-08-18-nvidia-gpu-compute30060090012001500SE +/- 0.03, N = 31412.321. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision Floatheikows3-2023-08-18-nvidia-gpu-compute20K40K60K80K100KSE +/- 664.25, N = 382945.321. (CXX) g++ options: -O3

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer Compute INTheikows3-2023-08-18-nvidia-gpu-compute9K18K27K36K45KSE +/- 549.47, N = 340540.411. (CXX) g++ options: -O3

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2heikows3-2023-08-18-nvidia-gpu-compute90180270360450SE +/- 0.21, N = 3395.17

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Writeheikows3-2023-08-18-nvidia-gpu-compute100200300400500SE +/- 0.47, N = 3449.81. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Readheikows3-2023-08-18-nvidia-gpu-compute150300450600750SE +/- 0.29, N = 3697.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Copyheikows3-2023-08-18-nvidia-gpu-compute80160240320400SE +/- 0.00, N = 3354.21. (CC) gcc options: -O2 -flto -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read Bandwidthheikows3-2023-08-18-nvidia-gpu-compute6001200180024003000SE +/- 1.38, N = 32715.401. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Readbackheikows3-2023-08-18-nvidia-gpu-compute612182430SE +/- 0.02, N = 326.311. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Downloadheikows3-2023-08-18-nvidia-gpu-compute612182430SE +/- 0.01, N = 326.761. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP Flopsheikows3-2023-08-18-nvidia-gpu-compute20K40K60K80K100KSE +/- 630.72, N = 387811.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_Nheikows3-2023-08-18-nvidia-gpu-compute5K10K15K20K25KSE +/- 16.11, N = 323502.11. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Reductionheikows3-2023-08-18-nvidia-gpu-compute2004006008001000SE +/- 0.41, N = 3877.571. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 Hashheikows3-2023-08-18-nvidia-gpu-compute20406080100SE +/- 0.03, N = 399.471. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPheikows3-2023-08-18-nvidia-gpu-compute5001000150020002500SE +/- 4.43, N = 32134.901. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Triadheikows3-2023-08-18-nvidia-gpu-compute612182430SE +/- 0.13, N = 325.181. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3Dheikows3-2023-08-18-nvidia-gpu-compute110220330440550SE +/- 0.45, N = 3527.281. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSheikows3-2023-08-18-nvidia-gpu-compute300K600K900K1200K1500KSE +/- 14853.10, N = 31464567

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512heikows3-2023-08-18-nvidia-gpu-compute1100M2200M3300M4400M5500MSE +/- 15332644.91, N = 35317300000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Zipheikows3-2023-08-18-nvidia-gpu-compute400K800K1200K1600K2000KSE +/- 5771.29, N = 32064433

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1heikows3-2023-08-18-nvidia-gpu-compute9000M18000M27000M36000M45000MSE +/- 156567582.14, N = 343759733333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5heikows3-2023-08-18-nvidia-gpu-compute30000M60000M90000M120000M150000MSE +/- 733333333.33, N = 3125566666667

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenCL Device: GPU

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./plaidml: line 24: /.local/bin/plaidbench: No such file or directory

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetheikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 0.70, N = 118.40MIN: 5.61 / MAX: 443.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerheikows3-2023-08-18-nvidia-gpu-compute20406080100SE +/- 9.48, N = 1298.46MIN: 64.31 / MAX: 2287.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mheikows3-2023-08-18-nvidia-gpu-compute48121620SE +/- 1.11, N = 1215.38MIN: 11.62 / MAX: 228.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdheikows3-2023-08-18-nvidia-gpu-compute3691215SE +/- 0.35, N = 1212.44MIN: 9.33 / MAX: 436.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyheikows3-2023-08-18-nvidia-gpu-compute612182430SE +/- 1.50, N = 1224.55MIN: 17.26 / MAX: 1220.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50heikows3-2023-08-18-nvidia-gpu-compute48121620SE +/- 0.67, N = 1216.37MIN: 12.02 / MAX: 381.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetheikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 1.51, N = 127.88MIN: 4.04 / MAX: 594.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18heikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 0.65, N = 128.71MIN: 6.01 / MAX: 281.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16heikows3-2023-08-18-nvidia-gpu-compute714212835SE +/- 2.77, N = 1230.29MIN: 19.27 / MAX: 995.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetheikows3-2023-08-18-nvidia-gpu-compute48121620SE +/- 0.92, N = 1214.86MIN: 10.8 / MAX: 555.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceheikows3-2023-08-18-nvidia-gpu-compute0.5671.1341.7012.2682.835SE +/- 0.18, N = 122.52MIN: 1.87 / MAX: 171.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0heikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 0.65, N = 127.87MIN: 5.8 / MAX: 250.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetheikows3-2023-08-18-nvidia-gpu-compute1.19932.39863.59794.79725.9965SE +/- 0.34, N = 125.33MIN: 3.83 / MAX: 270.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2heikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 0.63, N = 127.41MIN: 4.83 / MAX: 750.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3heikows3-2023-08-18-nvidia-gpu-compute246810SE +/- 0.74, N = 116.33MIN: 3.96 / MAX: 300.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2heikows3-2023-08-18-nvidia-gpu-compute1.18582.37163.55744.74325.929SE +/- 0.10, N = 125.27MIN: 4.22 / MAX: 95.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetheikows3-2023-08-18-nvidia-gpu-compute48121620SE +/- 2.05, N = 1217.00MIN: 11.33 / MAX: 1631.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Theikows3-2023-08-18-nvidia-gpu-compute50100150200250SE +/- 4.86, N = 132331. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Nheikows3-2023-08-18-nvidia-gpu-compute4080120160200SE +/- 17.46, N = 12202.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTheikows3-2023-08-18-nvidia-gpu-compute70140210280350SE +/- 26.27, N = 13313.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYheikows3-2023-08-18-nvidia-gpu-compute90180270360450SE +/- 14.54, N = 134111. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYheikows3-2023-08-18-nvidia-gpu-compute60120180240300SE +/- 9.27, N = 132741. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTheikows3-2023-08-18-nvidia-gpu-compute60120180240300SE +/- 5.14, N = 132521. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYheikows3-2023-08-18-nvidia-gpu-compute2004006008001000SE +/- 28.96, N = 1310421. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYheikows3-2023-08-18-nvidia-gpu-compute160320480640800SE +/- 25.16, N = 137641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL - Benchmark: Single Precision

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Double Precision

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Integer

heikows3-2023-08-18-nvidia-gpu-compute: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

72 Results Shown

NeatBench
ViennaCL:
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dDOT
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dCOPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sCOPY
  CPU BLAS - dGEMM-TT
  CPU BLAS - dGEMM-TN
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-NN
FinanceBench
LuxCoreRender:
  Rainbow Colors and Prism - GPU
  LuxCore Benchmark - GPU
  Orange Juice - GPU
  Danish Mood - GPU
  DLSC - GPU
ArrayFire
Rodinia
LeelaChessZero
clpeak:
  Global Memory Bandwidth
  Double-Precision Double
  Single-Precision Float
  Integer Compute INT
FAHBench
cl-mem:
  Write
  Read
  Copy
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Texture Read Bandwidth
  OpenCL - Bus Speed Readback
  OpenCL - Bus Speed Download
  OpenCL - Max SP Flops
  OpenCL - GEMM SGEMM_N
  OpenCL - Reduction
  OpenCL - MD5 Hash
  OpenCL - FFT SP
  OpenCL - Triad
  OpenCL - S3D
Hashcat:
  TrueCrypt RIPEMD160 + XTS
  SHA-512
  7-Zip
  SHA1
  MD5
NCNN:
  Vulkan GPU - FastestDet
  Vulkan GPU - vision_transformer
  Vulkan GPU - regnety_400m
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
ViennaCL:
  CPU BLAS - dGEMV-T
  CPU BLAS - dGEMV-N
  CPU BLAS - dDOT
  CPU BLAS - dAXPY
  CPU BLAS - dCOPY
  CPU BLAS - sDOT
  CPU BLAS - sAXPY
  CPU BLAS - sCOPY

heikows3-2023-08-18-nvidia-gpu-compute

Processor: AMD EPYC 7313 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: GIGABYTE MZE2-G10-00 v01010101 (M07 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E7, Disk: 7682GB Micron_7450_MTFDKCC7T6TFR + 1920GB Micron_7450_MTFDKBG1T9TFR, Graphics: ASPEED 45GB, Network: 2 x Intel I350

OS: Debian 12, Kernel: 6.2.16-3-pve (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.2.79, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 640x480

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa00115d
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 95.02.39.00.01
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 18 August 2023 07:46 by user root.