gamut

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 DESIGNARE (F5 BIOS) and eVGA NVIDIA GeForce GTX 1080 Ti 11GB on Ubuntu 20.04 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 2202025-NE-GAMUT591518
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AV1 4 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 5 Tests
Timed Code Compilation 17 Tests
C/C++ Compiler Tests 26 Tests
Compression Tests 3 Tests
CPU Massive 44 Tests
Creator Workloads 34 Tests
Cryptography 3 Tests
Database Test Suite 3 Tests
Encoding 11 Tests
Fortran Tests 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 18 Tests
Imaging 2 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Linear Algebra 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 7 Tests
Multi-Core 83 Tests
NVIDIA GPU Compute 18 Tests
Intel oneAPI 8 Tests
OpenCL 7 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 9 Tests
Programmer / Developer System Benchmarks 20 Tests
Python Tests 11 Tests
Raytracing 6 Tests
Renderers 14 Tests
Rust Tests 4 Tests
Scientific Computing 5 Tests
Server 4 Tests
Server CPU Tests 27 Tests
Single-Threaded 2 Tests
Video Encoding 11 Tests
Common Workstation Benchmarks 5 Tests

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Gamut - Initial Test
February 01 2022
  48 Minutes
eVGA NVIDIA GeForce GTX 1080 Ti
February 01 2022
  18 Hours, 59 Minutes
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  9 Hours, 53 Minutes
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gamutOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 DESIGNARE (F5 BIOS)AMD Starship/Matisse256GB2048GB ADATA SX8200PNP + 3 x 2048GB SPCC M.2 PCIe SSD + 5 x 14001GB Western Digital WUH721414ALeVGA NVIDIA GeForce GTX 1080 Ti 11GBNVIDIA GP102 HDMI Audio2 x Intel I210 + Intel Wi-Fi 6 AX200Ubuntu 20.045.13.0-28-generic (x86_64)X Server 1.20.11NVIDIAOpenCL 1.2 CUDA 11.2.1621.2.155GCC 9.3.0 + CUDA 10.1btrfs1024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverOpenCLVulkanCompilerFile-SystemScreen ResolutionGamut BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --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: 0x8301039- BAR1 / Visible vRAM Size: 256 MiB- OpenJDK Runtime Environment (build 1.8.0_312-8u312-b07-0ubuntu1~20.04-b07)- Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

gamutintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-MPI1 PingPongintel-mpi: IMB-MPI1 Sendrecvintel-mpi: IMB-P2P PingPongsysbench: CPUospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracerttsiod-renderer: Phong Rendering With Soft-Shadow Mappingopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUneatbench: CPUneatbench: GPUnatron: Spaceshipaom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080pembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 1rav1e: 5rav1e: 6rav1e: 10svt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 1080px264: H.264 Video Encodingx265: Bosphorus 4Kx265: Bosphorus 1080pshoc: OpenCL - Triadshoc: OpenCL - Reductionshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Readcl-mem: Writeviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tclpeak: Global Memory Bandwidthhpcg: mt-dgemm: Sustained Floating-Point Ratemixbench: OpenCL - Double Precisionmixbench: OpenCL - Single Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Single Precisionshoc: OpenCL - S3Dshoc: OpenCL - FFT SPshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Max SP Flopsarrayfire: BLAS CPUclpeak: Single-Precision Floatclpeak: Double-Precision Doubleviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTviennacl: OpenCL BLAS - dGEMM-NNshoc: OpenCL - MD5 Hashmixbench: OpenCL - Integermixbench: NVIDIA CUDA - Integerclpeak: Integer Compute INThashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmark ISPCopenvkl: vklBenchmark Scalargraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spaceaskap: Hogbom Clean OpenMPcoremark: CoreMark Size 666 - Iterations Per Secondaircrack-ng: cpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Deepcoincpuminer-opt: Ringcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Triple SHA-256, Onecoinxsbench: luxcorerender: DLSC - CPUluxcorerender: DLSC - GPUluxcorerender: Danish Mood - CPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - CPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: Rainbow Colors and Prism - GPUcompress-zstd: 3 - Compression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedsysbench: RAM / Memoryaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingrays1bench: Large Scenelczero: OpenCLasmfish: 1024 Hash Memory, 26 Depthfahbench: lammps: 20k Atomslammps: Rhodopsin Proteincassandra: Readscassandra: Writesswet: Averagemysqlslap: 1mysqlslap: 8mysqlslap: 16mysqlslap: 32mysqlslap: 64mysqlslap: 128mysqlslap: 256mysqlslap: 512mysqlslap: 1024mysqlslap: 2048mysqlslap: 4096john-the-ripper: Blowfishjohn-the-ripper: MD5ebizzy: npb: BT.Cnpb: CG.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Cintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-MPI1 Sendrecvnamd: ATPase Simulation - 327,506 Atomspennant: sedovbigpennant: leblancbigarrayfire: Conjugate Gradient OpenCLonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUfinancebench: Black-Scholes OpenCLopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUrodinia: OpenMP LavaMDrodinia: OpenCL Myocyterodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterrodinia: OpenCL Particle Filterrodinia: NVIDIA CUDA GPU Myocyteavifenc: 0avifenc: 2avifenc: 6avifenc: 10avifenc: 6, Losslessavifenc: 10, Losslessbuild-apache: Time To Compilebuild-clash: Time To Compilebuild-ffmpeg: Time To Compilebuild-gcc: Time To Compilebuild-gdb: Time To Compilebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mplayer: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild2: Time To Compilec-ray: Total Time - 4K, 16 Rays Per Pixelpovray: Trace Timeprimesieve: 1e12 Prime Number Generationrust-mandel: Time To Complete Serial/Parallel Mandelbrotrust-prime: Prime Number Test To 200,000,000tungsten: Hairtungsten: Water Caustictungsten: Non-Exponentialtungsten: Volumetric Causticyafaray: Total Time For Sample Sceneaobench: 2048 x 2048 - Total Timebuild-eigen: Time To Compilebuild-erlang: Time To Compilebuild-wasmer: Time To Compilem-queens: Time To Solven-queens: Elapsed Timeradiance: Serialradiance: SMP Paralleltachyon: Total Timeappleseed: Emilyappleseed: Disney Materialappleseed: Material TesterGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti12.7036317.49913.070813.5389597.644284.9338.7354.8413.1812148.88210.07414.4611529.73185.800984.2513398.4713269.219.66313681.133245.41709910333332417020000010325002823000000771067194.52683814.523824.612967.0625687196132002.6271.4313.515.8198.797.1947.6220.14500977.98611.0111.047.517.5236950.5336845.6945.310803.40.216.1612.8912.6444.1153.6756.600.4010.798.2630.81118.12135.29142.4657.597152.626350.385844.031348.388141.938420.5320.8685.6788.2842.2762.33216.91297.090.4752.3603.2378.2955.90598.527164.927210.66511.605213.304442.656658.10039.86337.49603.24417.51398.71324.286.4114.2913.9228.93231.3029.7280.1712.7121317.55213.080213.5388598.671283.3339.2354.599574868418341559120253.9788278317270337348346201300331.9510.719916.345747418.0211923.89210.06414.4711503.28184.360985.5553412.0913180.01126.7711419.90417.1210810811311132519.46053675.233257.383302.677067133333324005266667103480028243000007683001.481.480.73134872188647680104414067441440391.1602312549.430014179743.3383239.281757.6845515576.8711370001197750100026046723341912866725600062627898.955.146.794.3112.686.547.375.1225.6413.216317.63796.83708.189.43287.2877.83902.3902.74025.846.93387.48311.682583.963722.917178.494581.9723786337635320058.519499.5305.5314886149606533194.616629.03525.12640308029096679401972429911535149314141205839740634740665329899664060667355536181406.849984.504915.975036.1534153.271319.0575870.4531737.5655548.8927597.03306.65164.990.4124110.945955.6963352.5131.225065.224011.422930.9827730.8636195.764362.109965.537330.8776080.9944053402.95722.0813396.38721.1760.4079473403.94721.2680.6683488.4852859.902837.834111.744128.150.840.8443.59338.23384.30142.9527.0817.8815.06142.97648.62125.4529.3263.09728.5385.57219.2113.30719.820624.02441.373194.22948.89113.70825.073246.270157.710217.15010.397142.06433.96655.11810.2819.2393.79931.3755.0726.0134117.86342.144733.3996452.74837.02674.618107.01635.94510.8652.198566.223174.28526.8174124.24961456.503995134.065826OpenBenchmarking.org

oneAPI Level Zero Tests

This is benchmarking the collection of Intel oneAPI Level Zero Tests. Learn more via the OpenBenchmarking.org test page.

Test: Peak Integer Compute

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Device-To-Host Bandwidth

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_bandwidth: not found

Test: Host-To-Device Bandwidth

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_bandwidth: not found

Test: Peak Kernel Launch Latency

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Peak Half-Precision Compute

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Peak Double-Precision Compute

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Peak Single-Precision Compute

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Host-To-Device-To-Host Image Copy

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_image_copy: not found

Test: Peak Float16 Global Memory Bandwidth

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Test: Peak System Memory Copy to Shared Memory

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./oneapi-level-zero: 3: ./ze_peak: not found

Intel MPI Benchmarks

Intel MPI Benchmarks for stressing MPI implementations. At this point the test profile aggregates results for some common MPI functionality. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 ExchangeeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 12.18, N = 33814.52MAX: 16314.751. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 PingPongeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 17.99, N = 33824.61MIN: 3.91 / MAX: 12335.661. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgAverage Mbytes/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 SendrecveVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000SE +/- 12.55, N = 32967.06MAX: 12371.11. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgAverage Msg/sec, More Is BetterIntel MPI Benchmarks 2019.3Test: IMB-P2P PingPongeVGA NVIDIA GeForce GTX 1080 Ti6M12M18M24M30MSE +/- 88060.88, N = 325687196MIN: 4186 / MAX: 700487491. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUeVGA NVIDIA GeForce GTX 1080 Ti30K60K90K120K150KSE +/- 301.98, N = 3132002.621. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

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: Training - Network: Mobilenet - Device: OpenCL

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciViseVGA NVIDIA GeForce GTX 1080 Ti1632486480SE +/- 0.00, N = 371.43MIN: 66.67 / MAX: 76.92

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciViseVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 313.51MIN: 13.16 / MAX: 13.7

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracereVGA NVIDIA GeForce GTX 1080 Ti1.30732.61463.92195.22926.5365SE +/- 0.00, N = 35.81MIN: 5.75 / MAX: 5.88

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciViseVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.83, N = 1598.79MIN: 90.91 / MAX: 100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracereVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.00, N = 37.19MIN: 7.09 / MAX: 7.3

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciViseVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.00, N = 347.62MIN: 45.45 / MAX: 50

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracereVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.14, N = 320.14MIN: 19.61 / MAX: 20.41

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracereVGA NVIDIA GeForce GTX 1080 Ti110220330440550500MIN: 333.33

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 12.11, N = 4977.991. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.06, N = 311.01

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.01, N = 311.04

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.01, N = 37.51

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.03, N = 37.52

Model: Face Detection 0106 FP16 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

Model: Face Detection 0106 FP32 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

Model: Person Detection 0106 FP16 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

Model: Person Detection 0106 FP32 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti8K16K24K32K40KSE +/- 74.61, N = 336950.53

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti8K16K24K32K40KSE +/- 61.48, N = 336845.69

Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

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.

Acceleration: All

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.76, N = 1645.3

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti20040060080010001080

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: SpaceshipeVGA NVIDIA GeForce GTX 1080 Ti0.7651.532.2953.063.825SE +/- 0.04, N = 153.4

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti0.04730.09460.14190.18920.2365SE +/- 0.00, N = 30.211. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.02, N = 36.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.16, N = 412.891. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.03, N = 312.641. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.28, N = 344.111. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti1224364860SE +/- 0.27, N = 353.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti1326395265SE +/- 0.16, N = 356.601. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti0.090.180.270.360.45SE +/- 0.00, N = 30.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 310.791. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.00, N = 38.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.02, N = 330.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 0.10, N = 3118.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 0.11, N = 3135.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.2Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 0.15, N = 3142.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrowneVGA NVIDIA GeForce GTX 1080 Ti1326395265SE +/- 0.08, N = 357.60MIN: 56.53 / MAX: 61.38

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrowneVGA NVIDIA GeForce GTX 1080 Ti1224364860SE +/- 0.10, N = 352.63MIN: 51.7 / MAX: 55.15

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragoneVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.29, N = 350.39MIN: 48.75 / MAX: 52.89

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon ObjeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.07, N = 344.03MIN: 43.12 / MAX: 45.71

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragoneVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.28, N = 348.39MIN: 47.03 / MAX: 50.27

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.09, N = 341.94MIN: 41.1 / MAX: 43.69

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: SloweVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.10, N = 320.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: MediumeVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.09, N = 320.861. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: SloweVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.27, N = 385.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: MediumeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.46, N = 388.281. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FasteVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.12, N = 342.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FasteVGA NVIDIA GeForce GTX 1080 Ti1428425670SE +/- 1.37, N = 1562.331. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Very FasteVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 1.74, N = 15216.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra FasteVGA NVIDIA GeForce GTX 1080 Ti60120180240300SE +/- 4.71, N = 15297.091. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.5Speed: 1eVGA NVIDIA GeForce GTX 1080 Ti0.10690.21380.32070.42760.5345SE +/- 0.001, N = 30.475

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.5Speed: 5eVGA NVIDIA GeForce GTX 1080 Ti0.5311.0621.5932.1242.655SE +/- 0.008, N = 32.360

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.5Speed: 6eVGA NVIDIA GeForce GTX 1080 Ti0.72831.45662.18492.91323.6415SE +/- 0.036, N = 33.237

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.5Speed: 10eVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.035, N = 38.295

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 4 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti1.32862.65723.98585.31446.643SE +/- 0.007, N = 35.9051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 8 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.25, N = 398.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 10 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 1.48, N = 3164.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 12 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 0.68, N = 3210.671. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 4 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.02, N = 311.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 8 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 2.12, N = 3213.301. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 10 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti100200300400500SE +/- 4.59, N = 15442.661. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.9Encoder Mode: Preset 12 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti140280420560700SE +/- 4.09, N = 3658.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti918273645SE +/- 0.15, N = 339.861. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 2.44, N = 3337.491. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti130260390520650SE +/- 2.73, N = 3603.241. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti90180270360450SE +/- 3.59, N = 8417.511. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti90180270360450SE +/- 4.10, N = 5398.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 2.71, N = 15324.281. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.03, N = 36.411. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti48121620SE +/- 0.06, N = 314.291. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti48121620SE +/- 0.01, N = 313.921. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.10, N = 328.931. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingeVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 1.87, N = 3231.301. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KeVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.04, N = 329.721. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080peVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.49, N = 380.171. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: TriadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 312.7012.711. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti48121620Min: 12.7 / Avg: 12.7 / Max: 12.71Min: 12.71 / Avg: 12.71 / Max: 12.711. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.16, N = 3SE +/- 0.14, N = 3317.50317.551. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti60120180240300Min: 317.32 / Avg: 317.5 / Max: 317.82Min: 317.31 / Avg: 317.55 / Max: 317.811. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 313.0713.081. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti48121620Min: 13.07 / Avg: 13.07 / Max: 13.07Min: 13.08 / Avg: 13.08 / Max: 13.081. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 313.5413.541. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test48121620Min: 13.54 / Avg: 13.54 / Max: 13.54Min: 13.54 / Avg: 13.54 / Max: 13.541. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti130260390520650SE +/- 0.81, N = 3SE +/- 3.40, N = 3597.64598.671. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti110220330440550Min: 596.1 / Avg: 597.64 / Max: 598.82Min: 592.32 / Avg: 598.67 / Max: 603.941. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

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: CopyeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test60120180240300SE +/- 0.19, N = 3SE +/- 0.34, N = 3283.3284.91. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test50100150200250Min: 282.9 / Avg: 283.27 / Max: 283.5Min: 284.5 / Avg: 284.93 / Max: 285.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.03, N = 3SE +/- 0.62, N = 3338.7339.21. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti60120180240300Min: 338.7 / Avg: 338.73 / Max: 338.8Min: 338 / Avg: 339.17 / Max: 340.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test80160240320400SE +/- 0.21, N = 3SE +/- 0.09, N = 3354.5354.81. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test60120180240300Min: 354.1 / Avg: 354.5 / Max: 354.8Min: 354.7 / Avg: 354.83 / Max: 3551. (CC) gcc options: -O2 -flto -lOpenCL

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 - sCOPYeVGA NVIDIA GeForce GTX 1080 Ti20040060080010009951. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYeVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 31.70, N = 157481. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTeVGA NVIDIA GeForce GTX 1080 Ti150300450600750SE +/- 7.24, N = 156841. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYeVGA NVIDIA GeForce GTX 1080 Ti400800120016002000SE +/- 30.56, N = 1518341. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYeVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 11.73, N = 1515591. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTeVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 9.87, N = 1512021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NeVGA NVIDIA GeForce GTX 1080 Ti1224364860SE +/- 1.79, N = 1553.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 6.98, N = 157881. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYeVGA NVIDIA GeForce GTX 1080 Ti60120180240300SE +/- 1.86, N = 32781. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.33, N = 33171. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTeVGA NVIDIA GeForce GTX 1080 Ti60120180240300SE +/- 0.33, N = 32701. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYeVGA NVIDIA GeForce GTX 1080 Ti701402102803503371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYeVGA NVIDIA GeForce GTX 1080 Ti801602403204003481. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTeVGA NVIDIA GeForce GTX 1080 Ti80160240320400SE +/- 0.33, N = 33461. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NeVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 0.33, N = 32011. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.33, N = 33001. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidtheVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.33, N = 3331.951. (CXX) g++ options: -O3 -rdynamic -lOpenCL

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1eVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 310.721. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateeVGA NVIDIA GeForce GTX 1080 Ti48121620SE +/- 0.21, N = 1516.351. (CC) gcc options: -O3 -march=native -fopenmp

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti90180270360450SE +/- 4.38, N = 14SE +/- 0.78, N = 3413.18418.021. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti70140210280350Min: 364.22 / Avg: 413.18 / Max: 419.84Min: 417.24 / Avg: 418.02 / Max: 419.581. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test3K6K9K12K15KSE +/- 137.42, N = 15SE +/- 7.75, N = 311923.8912148.881. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test2K4K6K8K10KMin: 10592.3 / Avg: 11923.89 / Max: 12179.77Min: 12137.17 / Avg: 12148.88 / Max: 12163.521. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test50100150200250SE +/- 0.00, N = 3SE +/- 0.00, N = 3210.06210.071. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test4080120160200Min: 210.06 / Avg: 210.06 / Max: 210.07Min: 210.07 / Avg: 210.07 / Max: 210.071. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti90180270360450SE +/- 0.00, N = 3SE +/- 0.01, N = 3414.46414.471. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti70140210280350Min: 414.46 / Avg: 414.46 / Max: 414.47Min: 414.46 / Avg: 414.47 / Max: 414.491. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test2K4K6K8K10KSE +/- 9.41, N = 3SE +/- 4.35, N = 311503.2811529.731. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisioneVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test2K4K6K8K10KMin: 11490.32 / Avg: 11503.28 / Max: 11521.58Min: 11522.32 / Avg: 11529.73 / Max: 11537.391. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test4080120160200SE +/- 0.81, N = 3SE +/- 0.26, N = 3184.36185.801. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test306090120150Min: 182.74 / Avg: 184.36 / Max: 185.19Min: 185.28 / Avg: 185.8 / Max: 186.081. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 1.95, N = 3SE +/- 1.34, N = 3984.25985.561. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti2004006008001000Min: 980.73 / Avg: 984.25 / Max: 987.46Min: 984.15 / Avg: 985.56 / Max: 988.231. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 14.57, N = 3SE +/- 32.73, N = 33398.473412.091. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000Min: 3378.37 / Avg: 3398.47 / Max: 3426.8Min: 3348.8 / Avg: 3412.09 / Max: 3458.231. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopseVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test3K6K9K12K15KSE +/- 30.81, N = 3SE +/- 29.70, N = 313180.013269.21. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopseVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test2K4K6K8K10KMin: 13148 / Avg: 13180 / Max: 13241.6Min: 13239.2 / Avg: 13269.2 / Max: 13328.61. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

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.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 15.20, N = 31126.771. (CXX) g++ options: -rdynamic

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloateVGA NVIDIA GeForce GTX 1080 Ti2K4K6K8K10KSE +/- 216.47, N = 1511419.901. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleeVGA NVIDIA GeForce GTX 1080 Ti90180270360450SE +/- 1.15, N = 3417.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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: CPU BLAS - dGEMM-NNeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.57, N = 151081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTeVGA NVIDIA GeForce GTX 1080 Ti204060801001081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNeVGA NVIDIA GeForce GTX 1080 Ti3060901201501131. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.87, N = 101111. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 1.33, N = 33251. (CXX) g++ options: -fopenmp -O3 -rdynamic -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.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HasheVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test510152025SE +/- 0.09, N = 3SE +/- 0.03, N = 319.4619.661. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HasheVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test510152025Min: 19.36 / Avg: 19.46 / Max: 19.64Min: 19.6 / Avg: 19.66 / Max: 19.71. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

Mixbench

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

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegereVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test8001600240032004000SE +/- 37.82, N = 12SE +/- 28.02, N = 133675.233681.131. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegereVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test6001200180024003000Min: 3262.17 / Avg: 3675.23 / Max: 3728.1Min: 3372.11 / Avg: 3681.13 / Max: 3733.711. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 5.24, N = 3SE +/- 3.22, N = 33245.413257.381. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000Min: 3240.17 / Avg: 3245.41 / Max: 3255.9Min: 3250.96 / Avg: 3257.38 / Max: 3260.911. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 28.71, N = 153302.671. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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: MD5eVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test15000M30000M45000M60000M75000MSE +/- 165649844.89, N = 3SE +/- 494388330.27, N = 37067133333370991033333
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5eVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test12000M24000M36000M48000M60000MMin: 70342800000 / Avg: 70671333333.33 / Max: 70872600000Min: 70454900000 / Avg: 70991033333.33 / Max: 71978600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1eVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test5000M10000M15000M20000M25000MSE +/- 76343092.53, N = 3SE +/- 79492641.17, N = 32400526666724170200000
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1eVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test4000M8000M12000M16000M20000MMin: 23860800000 / Avg: 24005266666.67 / Max: 24120300000Min: 24024400000 / Avg: 24170200000 / Max: 24298000000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti200K400K600K800K1000KSE +/- 5802.59, N = 3SE +/- 2830.78, N = 310325001034800
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti200K400K600K800K1000KMin: 1020900 / Avg: 1032500 / Max: 1038600Min: 1029800 / Avg: 1034800 / Max: 1039600

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti600M1200M1800M2400M3000MSE +/- 6372074.49, N = 3SE +/- 4095119.05, N = 328230000002824300000
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti500M1000M1500M2000M2500MMin: 2814600000 / Avg: 2823000000 / Max: 2835500000Min: 2817700000 / Avg: 2824300000 / Max: 2831800000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test170K340K510K680K850KSE +/- 2020.73, N = 3SE +/- 1890.62, N = 3768300771067
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSeVGA NVIDIA GeForce GTX 1080 TiGamut - Initial Test130K260K390K520K650KMin: 764800 / Avg: 768300 / Max: 771800Min: 767400 / Avg: 771066.67 / Max: 773700

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160eVGA NVIDIA GeForce GTX 1080 Ti0.3330.6660.9991.3321.665SE +/- 0.00, N = 31.48

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160eVGA NVIDIA GeForce GTX 1080 Ti0.3330.6660.9991.3321.665SE +/- 0.00, N = 31.48

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096eVGA NVIDIA GeForce GTX 1080 Ti0.16430.32860.49290.65720.8215SE +/- 0.00, N = 30.73

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCeVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 1.53, N = 3134MIN: 10 / MAX: 3329

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ScalareVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.33, N = 387MIN: 7 / MAX: 2955

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirleVGA NVIDIA GeForce GTX 1080 Ti500100015002000250021881. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateeVGA NVIDIA GeForce GTX 1080 Ti140280420560700SE +/- 1.20, N = 36471. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpeneVGA NVIDIA GeForce GTX 1080 Ti150300450600750SE +/- 1.45, N = 36801. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 0.58, N = 310441. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingeVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 17.59, N = 1514061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianeVGA NVIDIA GeForce GTX 1080 Ti1603204806408007441. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceeVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 0.88, N = 314401. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPeVGA NVIDIA GeForce GTX 1080 Ti80160240320400SE +/- 2.23, N = 3391.161. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondeVGA NVIDIA GeForce GTX 1080 Ti500K1000K1500K2000K2500KSE +/- 2299.77, N = 32312549.431. (CC) gcc options: -O2 -lrt" -lrt

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2eVGA NVIDIA GeForce GTX 1080 Ti40K80K120K160K200KSE +/- 242.24, N = 3179743.341. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: MagieVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 86.71, N = 153239.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25xeVGA NVIDIA GeForce GTX 1080 Ti400800120016002000SE +/- 16.30, N = 61757.681. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoineVGA NVIDIA GeForce GTX 1080 Ti10K20K30K40K50KSE +/- 2155.27, N = 12455151. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoineVGA NVIDIA GeForce GTX 1080 Ti120240360480600SE +/- 289.59, N = 14576.871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SeVGA NVIDIA GeForce GTX 1080 Ti200K400K600K800K1000KSE +/- 5408.33, N = 311370001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoineVGA NVIDIA GeForce GTX 1080 Ti3K6K9K12K15KSE +/- 23.33, N = 3119771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoineVGA NVIDIA GeForce GTX 1080 Ti110K220K330K440K550KSE +/- 577.35, N = 35010001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestleVGA NVIDIA GeForce GTX 1080 Ti60K120K180K240K300KSE +/- 3047.04, N = 32604671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY CreditseVGA NVIDIA GeForce GTX 1080 Ti50K100K150K200K250KSE +/- 1599.54, N = 132334191. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteeVGA NVIDIA GeForce GTX 1080 Ti30K60K90K120K150KSE +/- 666.67, N = 31286671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoineVGA NVIDIA GeForce GTX 1080 Ti50K100K150K200K250K2560001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Xsbench

XSBench is a mini-app representing a key computational kernel of the Monte Carlo neutronics application OpenMC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLookups/s, More Is BetterXsbench 2017-07-06eVGA NVIDIA GeForce GTX 1080 Ti1.3M2.6M3.9M5.2M6.5MSE +/- 13624.19, N = 362627891. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm

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: DLSC - Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.09, N = 158.95MIN: 8.53 / MAX: 10.06

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti1.15652.3133.46954.6265.7825SE +/- 0.02, N = 35.14MIN: 4.97 / MAX: 5.35

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.06, N = 36.79MIN: 2.94 / MAX: 7.82

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti0.96981.93962.90943.87924.849SE +/- 0.02, N = 34.31MIN: 1.92 / MAX: 4.88

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.07, N = 312.68MIN: 10.95 / MAX: 14.47

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.02, N = 36.54MIN: 5.31 / MAX: 8.5

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.06, N = 157.37MIN: 2.83 / MAX: 9.09

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti1.1522.3043.4564.6085.76SE +/- 0.02, N = 35.12MIN: 1.84 / MAX: 5.96

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUeVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.16, N = 325.64MIN: 25.42 / MAX: 25.96

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.01, N = 313.21MIN: 11.39 / MAX: 14.74

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti14002800420056007000SE +/- 3.21, N = 36317.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 2.83, N = 33796.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 5.88, N = 33708.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 1.19, N = 389.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 7.92, N = 33287.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 1.39, N = 3877.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 9.51, N = 33902.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 2.58, N = 3902.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti9001800270036004500SE +/- 2.88, N = 34025.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.00, N = 346.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 4.32, N = 33387.41. (CC) gcc options: -O3 -pthread -lz -llzma

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryeVGA NVIDIA GeForce GTX 1080 Ti2K4K6K8K10KSE +/- 11.62, N = 38311.681. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingeVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000SE +/- 0.23, N = 32583.961. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingeVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 0.27, N = 33722.911. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Test: tConvolve CUDA

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./tConvolveCuda: error while loading shared libraries: libCudaGridder.so: cannot open shared object file: No such file or directory

Test: tConvolve OpenCL

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingeVGA NVIDIA GeForce GTX 1080 Ti15003000450060007500SE +/- 58.83, N = 97178.491. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingeVGA NVIDIA GeForce GTX 1080 Ti10002000300040005000SE +/- 8.65, N = 94581.971. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Compression RatingeVGA NVIDIA GeForce GTX 1080 Ti50K100K150K200K250KSE +/- 295.08, N = 32378631. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingeVGA NVIDIA GeForce GTX 1080 Ti80K160K240K320K400KSE +/- 116.09, N = 33763531. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingeVGA NVIDIA GeForce GTX 1080 Ti4K8K12K16K20KSE +/- 169.80, N = 320058.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingeVGA NVIDIA GeForce GTX 1080 Ti4K8K12K16K20KSE +/- 160.43, N = 319499.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.25, N = 3305.53

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: OpenCLeVGA NVIDIA GeForce GTX 1080 Ti3K6K9K12K15KSE +/- 131.52, N = 3148861. (CXX) g++ options: -flto -pthread

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./stockfish: 3: ./stockfish: not found

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DeptheVGA NVIDIA GeForce GTX 1080 Ti30M60M90M120M150MSE +/- 1887000.99, N = 3149606533

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 2.3.2Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 0.16, N = 3SE +/- 0.23, N = 3194.53194.62
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti4080120160200Min: 194.25 / Avg: 194.53 / Max: 194.8Min: 194.35 / Avg: 194.62 / Max: 195.07

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomseVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.13, N = 329.041. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteineVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.17, N = 325.131. (CXX) g++ options: -O3 -pthread -lm

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: ReadseVGA NVIDIA GeForce GTX 1080 Ti90K180K270K360K450KSE +/- 17922.61, N = 6403080

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: WriteseVGA NVIDIA GeForce GTX 1080 Ti60K120K180K240K300KSE +/- 755.18, N = 3290966

Swet

Swet is a synthetic CPU/RAM benchmark, includes multi-processor test cases. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageeVGA NVIDIA GeForce GTX 1080 Ti200M400M600M800M1000MSE +/- 1738128.54, N = 37940197241. (CC) gcc options: -lm -lpthread -lcurses -lrt

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 1eVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000SE +/- 11.88, N = 329911. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 8eVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 6.40, N = 315351. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 16eVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 6.83, N = 314931. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 32eVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 4.79, N = 314141. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 64eVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 1.45, N = 312051. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 128eVGA NVIDIA GeForce GTX 1080 Ti2004006008001000SE +/- 9.19, N = 38391. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 256eVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 0.66, N = 37401. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 512eVGA NVIDIA GeForce GTX 1080 Ti140280420560700SE +/- 44.67, N = 66341. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 1024eVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 2.58, N = 37401. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 2048eVGA NVIDIA GeForce GTX 1080 Ti140280420560700SE +/- 23.73, N = 96651. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.6.4Clients: 4096eVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 4.51, N = 93291. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -pthread -llzma -lsnappy -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfisheVGA NVIDIA GeForce GTX 1080 Ti20K40K60K80K100KSE +/- 102.22, N = 3899661. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5eVGA NVIDIA GeForce GTX 1080 Ti900K1800K2700K3600K4500KSE +/- 28061.44, N = 340606671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3eVGA NVIDIA GeForce GTX 1080 Ti800K1600K2400K3200K4000KSE +/- 33138.38, N = 335553611. (CC) gcc options: -pthread -lpthread -O3 -march=native

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

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CeVGA NVIDIA GeForce GTX 1080 Ti20K40K60K80K100KSE +/- 6.49, N = 381406.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CeVGA NVIDIA GeForce GTX 1080 Ti2K4K6K8K10KSE +/- 20.50, N = 39984.501. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CeVGA NVIDIA GeForce GTX 1080 Ti11002200330044005500SE +/- 12.85, N = 34915.971. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DeVGA NVIDIA GeForce GTX 1080 Ti11002200330044005500SE +/- 10.68, N = 35036.151. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CeVGA NVIDIA GeForce GTX 1080 Ti7K14K21K28K35KSE +/- 21.15, N = 334153.271. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DeVGA NVIDIA GeForce GTX 1080 Ti30060090012001500SE +/- 9.70, N = 31319.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CeVGA NVIDIA GeForce GTX 1080 Ti16K32K48K64K80KSE +/- 35.40, N = 375870.451. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CeVGA NVIDIA GeForce GTX 1080 Ti7K14K21K28K35KSE +/- 51.11, N = 331737.561. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BeVGA NVIDIA GeForce GTX 1080 Ti12K24K36K48K60KSE +/- 295.56, N = 355548.891. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CeVGA NVIDIA GeForce GTX 1080 Ti6K12K18K24K30KSE +/- 6.55, N = 327597.031. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

Scaling: Buffer Test - Test: Normal Load - Mode: Read Only

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: pgbench: fatal: too many command-line arguments (first is "NORMAL_LOAD")

Intel MPI Benchmarks

Intel MPI Benchmarks for stressing MPI implementations. At this point the test profile aggregates results for some common MPI functionality. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage usec, Fewer Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 ExchangeeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 1.04, N = 3306.65MIN: 1.14 / MAX: 12194.861. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgAverage usec, Fewer Is BetterIntel MPI Benchmarks 2019.3Test: IMB-MPI1 SendrecveVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 0.21, N = 3164.99MIN: 0.74 / MAX: 5102.381. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomseVGA NVIDIA GeForce GTX 1080 Ti0.09280.18560.27840.37120.464SE +/- 0.00085, N = 30.41241

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.03, N = 310.951. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigeVGA NVIDIA GeForce GTX 1080 Ti1.28172.56343.84515.12686.4085SE +/- 0.017881, N = 35.6963351. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

eVGA NVIDIA GeForce GTX 1080 Ti: 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: ./caffe: 3: ./tools/caffe: not found

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 OpenCLeVGA NVIDIA GeForce GTX 1080 Ti0.56541.13081.69622.26162.827SE +/- 0.008, N = 32.5131. (CXX) g++ options: -rdynamic

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.27560.55120.82681.10241.378SE +/- 0.00516, N = 31.22506MIN: 1.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti1.17542.35083.52624.70165.877SE +/- 0.00818, N = 35.22401MIN: 5.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.32020.64040.96061.28081.601SE +/- 0.00444, N = 31.42293MIN: 1.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.22110.44220.66330.88441.1055SE +/- 0.001962, N = 30.982773MIN: 0.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.19430.38860.58290.77720.9715SE +/- 0.005963, N = 30.863619MIN: 0.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti1.2972.5943.8915.1886.485SE +/- 0.01992, N = 35.76436MIN: 5.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.47470.94941.42411.89882.3735SE +/- 0.00481, N = 32.10996MIN: 1.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti1.24592.49183.73774.98366.2295SE +/- 0.00413, N = 35.53733MIN: 5.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.19750.3950.59250.790.9875SE +/- 0.002658, N = 30.877608MIN: 0.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.22370.44740.67110.89481.1185SE +/- 0.008666, N = 80.994405MIN: 0.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 18.17, N = 33402.95MIN: 3304.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 0.41, N = 3722.08MIN: 678.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 3.38, N = 33396.38MIN: 3308.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 1.15, N = 3721.18MIN: 677.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.09180.18360.27540.36720.459SE +/- 0.000976, N = 30.407947MIN: 0.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 7.88, N = 33403.94MIN: 3314.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti160320480640800SE +/- 2.61, N = 3721.27MIN: 675.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.15040.30080.45120.60160.752SE +/- 0.001072, N = 30.668348MIN: 0.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

eVGA NVIDIA GeForce GTX 1080 Ti: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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 OpenCLeVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.039, N = 38.4851. (CXX) g++ options: -O3 -march=native -fopenmp

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.

Target: Vulkan GPU

eVGA NVIDIA GeForce GTX 1080 Ti: 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.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000SE +/- 19.80, N = 32859.90

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti6001200180024003000SE +/- 4.34, N = 32837.83

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti9001800270036004500SE +/- 11.67, N = 34111.74

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti9001800270036004500SE +/- 31.71, N = 34128.15

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.1890.3780.5670.7560.945SE +/- 0.00, N = 30.84

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.1890.3780.5670.7560.945SE +/- 0.00, N = 30.84

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.

Gamut - Initial Test: 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

eVGA NVIDIA GeForce GTX 1080 Ti: 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

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

Test: OpenCL BFS

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenCL LBM

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenMP LBM

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenCL Histo

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenCL TPACF

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenMP CUTCP

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenMP MRI-Q

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenMP Stencil

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenCL MRI Gridding

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

Test: OpenMP MRI Gridding

eVGA NVIDIA GeForce GTX 1080 Ti: 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: /usr/bin/env: ‘python’: No such file or directory

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: OpenMP LavaMDeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.31, N = 343.591. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteeVGA NVIDIA GeForce GTX 1080 Ti918273645SE +/- 0.18, N = 338.231. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.36, N = 384.301. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.16, N = 342.951. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolvereVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.062, N = 37.0811. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclustereVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.026, N = 37.8811. (CXX) g++ options: -O2 -lOpenCL