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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Gamut - Initial Test
February 01 2022
  48 Minutes
eVGA NVIDIA GeForce GTX 1080 Ti
February 01 2022
  18 Hours, 59 Minutes
Invert Hiding All Results Option
  9 Hours, 53 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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

gamutmixbench: OpenCL - Single Precisionmixbench: OpenCL - Double Precisionshoc: OpenCL - MD5 Hashshoc: OpenCL - S3Dhashcat: SHA1shoc: OpenCL - Max SP Flopscl-mem: Copyhashcat: MD5shoc: OpenCL - GEMM SGEMM_Nmixbench: NVIDIA CUDA - Integerhashcat: TrueCrypt RIPEMD160 + XTSmixbench: NVIDIA CUDA - Single Precisionhashcat: 7-Zipshoc: OpenCL - Texture Read Bandwidthmixbench: OpenCL - Integercl-mem: Readshoc: OpenCL - FFT SPcl-mem: Writeshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Triadfahbench: hashcat: SHA-512shoc: OpenCL - Reductionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionshoc: OpenCL - Bus Speed Readbackappleseed: Material Testerappleseed: Disney Materialappleseed: Emilynatron: Spaceshipneatbench: GPUxsbench: clpeak: Global Memory Bandwidthclpeak: Double-Precision Doubleclpeak: Integer Compute INTcassandra: Writesopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUsysbench: CPUsysbench: RAM / Memorymysqlslap: 4096mysqlslap: 1024mysqlslap: 256mysqlslap: 128mysqlslap: 64mysqlslap: 32mysqlslap: 16mysqlslap: 8mysqlslap: 1intel-mpi: IMB-MPI1 Sendrecvintel-mpi: IMB-MPI1 Sendrecvintel-mpi: IMB-MPI1 PingPongintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-MPI1 Exchangeintel-mpi: IMB-P2P PingPongviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sCOPYviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sCOPYaskap: Hogbom Clean OpenMPaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingfinancebench: Black-Scholes OpenCLcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: LBC, LBRY Creditscpuminer-opt: Myriad-Groestlcpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: Blake-2 Scpuminer-opt: x25xaircrack-ng: tachyon: Total Timeradiance: SMP Parallelradiance: Serialn-queens: Elapsed Timem-queens: Time To Solvebuild-wasmer: Time To Compilebuild-erlang: Time To Compilebuild-eigen: Time To Compileaobench: 2048 x 2048 - Total Timeonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - f32 - CPUrays1bench: Large Sceneyafaray: Total Time For Sample Scenetungsten: Volumetric Caustictungsten: Non-Exponentialtungsten: Water Caustictungsten: Hairrust-prime: Prime Number Test To 200,000,000rust-mandel: Time To Complete Serial/Parallel Mandelbrotprimesieve: 1e12 Prime Number Generationpovray: Trace Timec-ray: Total Time - 4K, 16 Rays Per Pixelbuild2: Time To Compilebuild-php: Time To Compilebuild-nodejs: Time To Compilebuild-mplayer: Time To Compilebuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-linux-kernel: allmodconfigbuild-linux-kernel: defconfigbuild-imagemagick: Time To Compilebuild-godot: Time To Compilebuild-gem5: Time To Compilebuild-gdb: Time To Compilebuild-gcc: Time To Compilebuild-ffmpeg: Time To Compilebuild-apache: Time To Compileavifenc: 10, Losslessavifenc: 6, Losslessavifenc: 10avifenc: 6avifenc: 2avifenc: 0ebizzy: swet: Averageasmfish: 1024 Hash Memory, 26 Depthcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingcoremark: CoreMark Size 666 - Iterations Per Secondopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCoidn: RTLightmap.hdr.4096x4096oidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160mt-dgemm: Sustained Floating-Point Ratex265: Bosphorus 1080px265: Bosphorus 4Kx264: H.264 Video Encodingvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Krav1e: 10rav1e: 6rav1e: 5rav1e: 1kvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Slowembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 4Kttsiod-renderer: Phong Rendering With Soft-Shadow Mappingospray: Magnetic Reconnection - Path Tracerospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: San Miguel - Path Tracerospray: XFrog Forest - SciVisospray: San Miguel - SciVisgraphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Resizinggraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Rotategraphics-magick: Swirlluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - GPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - GPUluxcorerender: Danish Mood - CPUluxcorerender: DLSC - GPUluxcorerender: DLSC - CPUjohn-the-ripper: MD5john-the-ripper: Blowfisharrayfire: Conjugate Gradient OpenCLarrayfire: BLAS CPUcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 3 - Compression Speedlammps: Rhodopsin Proteinlammps: 20k Atomspennant: leblancbigpennant: sedovbignamd: ATPase Simulation - 327,506 Atomsrodinia: NVIDIA CUDA GPU Myocyterodinia: OpenCL Particle Filterrodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Drodinia: OpenCL Myocyterodinia: OpenMP LavaMDlczero: OpenCLnpb: SP.Cnpb: SP.Bnpb: MG.Cnpb: LU.Cnpb: IS.Dnpb: FT.Cnpb: EP.Dnpb: EP.Cnpb: CG.Cnpb: BT.Chpcg: neatbench: CPUclpeak: Single-Precision Floatcassandra: Readsmysqlslap: 2048mysqlslap: 512viennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sAXPYcpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Magibuild-clash: Time To Compilekvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Ultra Fastredshift: Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti12148.88413.1819.6631185.8002417020000013269.2284.9709910333333398.473245.4177106711529.731032500597.6443681.13338.7984.251354.813.070812.7036194.52682823000000317.499210.07414.4613.538911923.89418.0219.4605184.3602400526666713180.0283.3706713333333412.093257.3876830011503.281034800598.6713675.23339.2985.555354.513.080212.7121194.61662824300000317.552210.06414.4713.5388134.06582656.503995124.2496143.410806262789331.95417.123302.672909660.8436845.690.8436950.534128.157.524111.747.512837.8311.042859.9011.01132002.628311.6832974074083912051414149315352991164.992967.063824.61306.653814.522568719632530020134634833727031727811111310810878812021559684995391.1604581.977178.4919499.520058.53722.912583.968.4852560001286672334192604675010001197711370001757.68179743.33826.8174174.285566.2232.19810.86535.945107.01674.61837.0260.668348721.2683403.940.407947721.1763396.38722.0813402.950.9944050.8776085.537332.109965.764360.8636190.9827731.422935.224011.22506305.5352.7483.399642.1447317.86346.013415.07231.3753.7999.23910.28155.11833.966142.06410.397217.150157.710246.27025.07313.70848.891194.22941.373624.02419.82019.2115.57228.5383.0979.32625.45248.62135553617940197241496065333763532378632312549.430014871340.731.481.4816.34574780.1729.72231.3028.9313.9214.296.41324.28398.71417.51603.24337.4939.86658.100442.656213.30411.605210.665164.92798.5275.9058.2953.2372.3600.475216.9142.2788.2885.6720.8620.5341.938448.388144.031350.385852.626357.5971142.46135.29118.1230.818.2610.790.4056.6053.6744.1112.6412.896.160.21977.98650020.1447.627.1998.795.8113.5171.43144074414061044680647218813.2125.645.127.376.5412.684.316.795.148.954060667899662.5131126.773387.446.94025.8902.73902.3877.83287.289.43708.13796.86317.625.12629.0355.69633510.945950.4124142.9765.0617.8817.08142.95284.30138.23343.5931488627597.0355548.8931737.5675870.451319.0534153.275036.154915.979984.5081406.8410.719945.311419.9040308066563453.91834748576.87455153239.283.307297.0962.33OpenBenchmarking.org

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: Single PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti3K6K9K12K15KSE +/- 7.75, N = 3SE +/- 137.42, N = 1512148.8811923.891. (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 Ti90180270360450SE +/- 4.38, N = 14SE +/- 0.78, N = 3413.18418.021. (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.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.03, N = 3SE +/- 0.09, N = 319.6619.461. (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: S3DGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 0.26, N = 3SE +/- 0.81, N = 3185.80184.361. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

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: SHA1Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti5000M10000M15000M20000M25000MSE +/- 79492641.17, N = 3SE +/- 76343092.53, N = 32417020000024005266667

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: Max SP FlopsGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti3K6K9K12K15KSE +/- 29.70, N = 3SE +/- 30.81, N = 313269.213180.01. (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: CopyGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti60120180240300SE +/- 0.34, N = 3SE +/- 0.19, N = 3284.9283.31. (CC) gcc options: -O2 -flto -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: MD5Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti15000M30000M45000M60000M75000MSE +/- 494388330.27, N = 3SE +/- 165649844.89, N = 37099103333370671333333

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: 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

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: 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

Hashcat

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

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti170K340K510K680K850KSE +/- 1890.62, N = 3SE +/- 2020.73, N = 3771067768300

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: NVIDIA CUDA - Benchmark: Single PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti2K4K6K8K10KSE +/- 4.35, N = 3SE +/- 9.41, N = 311529.7311503.281. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: 7-ZipGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti200K400K600K800K1000KSE +/- 5802.59, N = 3SE +/- 2830.78, N = 310325001034800

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read 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

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: IntegerGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti8001600240032004000SE +/- 28.02, N = 13SE +/- 37.82, N = 123681.133675.231. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: ReadGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 0.03, N = 3SE +/- 0.62, N = 3338.7339.21. (CC) gcc options: -O2 -flto -lOpenCL

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.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

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: WriteGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti80160240320400SE +/- 0.09, N = 3SE +/- 0.21, N = 3354.8354.51. (CC) gcc options: -O2 -flto -lOpenCL

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: 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: 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

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

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: SHA-512Gamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti600M1200M1800M2400M3000MSE +/- 6372074.49, N = 3SE +/- 4095119.05, N = 328230000002824300000

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: 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

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: NVIDIA CUDA - Benchmark: Half PrecisionGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 0.00, N = 3SE +/- 0.00, N = 3210.07210.061. (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

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: Bus Speed ReadbackGamut - Initial TesteVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 313.5413.541. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TestereVGA NVIDIA GeForce GTX 1080 Ti306090120150134.07

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialeVGA NVIDIA GeForce GTX 1080 Ti132639526556.50

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyeVGA NVIDIA GeForce GTX 1080 Ti306090120150124.25

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

NeatBench

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

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

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

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

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

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

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: WriteseVGA NVIDIA GeForce GTX 1080 Ti60K120K180K240K300KSE +/- 755.18, N = 3290966

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: Age Gender Recognition Retail 0013 FP32 - Device: CPUeVGA NVIDIA GeForce GTX 1080 Ti0.1890.3780.5670.7560.945SE +/- 0.00, N = 30.84

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

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

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

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

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

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

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

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

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

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

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

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: 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

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: 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: 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: 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: 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: 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: 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: 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

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 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

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 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 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 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 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

ViennaCL

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

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNeVGA NVIDIA GeForce GTX 1080 Ti70140210280350SE +/- 1.33, N = 33251. (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

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 - 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 - dAXPYeVGA NVIDIA GeForce GTX 1080 Ti801602403204003481. (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 - 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 - 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 - sCOPYeVGA NVIDIA GeForce GTX 1080 Ti60120180240300SE +/- 1.86, N = 32781. (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: 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-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-NNeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.57, N = 151081. (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: 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 - 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 - 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 - sCOPYeVGA NVIDIA GeForce GTX 1080 Ti20040060080010009951. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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

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

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.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

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.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

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

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

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: Triple SHA-256, OnecoineVGA NVIDIA GeForce GTX 1080 Ti50K100K150K200K250K2560001. (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: 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: 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: 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: 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: 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: x25xeVGA NVIDIA GeForce GTX 1080 Ti400800120016002000SE +/- 16.30, N = 61757.681. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeeVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.25, N = 326.821. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParalleleVGA NVIDIA GeForce GTX 1080 Ti4080120160200174.29

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialeVGA NVIDIA GeForce GTX 1080 Ti120240360480600566.22

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeeVGA NVIDIA GeForce GTX 1080 Ti0.49460.98921.48381.97842.473SE +/- 0.001, N = 32.1981. (CC) gcc options: -static -fopenmp -O3 -march=native

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.05, N = 310.871. (CXX) g++ options: -fopenmp -O2 -march=native

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti816243240SE +/- 0.07, N = 335.951. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 23.2Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.14, N = 3107.02

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.03, N = 374.62

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeeVGA NVIDIA GeForce GTX 1080 Ti918273645SE +/- 0.03, N = 337.031. (CC) gcc options: -lm -O3

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: 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

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: 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: 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 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: 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

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: 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: 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: 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: 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_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: 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: 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: 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

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: 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: 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

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

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.5.1Total Time For Sample SceneeVGA NVIDIA GeForce GTX 1080 Ti1224364860SE +/- 0.20, N = 352.751. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticeVGA NVIDIA GeForce GTX 1080 Ti0.76491.52982.29473.05963.8245SE +/- 0.00120, N = 33.399641. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialeVGA NVIDIA GeForce GTX 1080 Ti0.48260.96521.44781.93042.413SE +/- 0.00378, N = 32.144731. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticeVGA NVIDIA GeForce GTX 1080 Ti48121620SE +/- 0.01, N = 317.861. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HaireVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.01071, N = 36.013411. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Rust Prime Benchmark

Based on petehunt/rust-benchmark, this is a prime number benchmark that is multi-threaded and written in Rustlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRust Prime BenchmarkPrime Number Test To 200,000,000eVGA NVIDIA GeForce GTX 1080 Ti1.14122.28243.42364.56485.706SE +/- 0.012, N = 35.0721. (CC) gcc options: -m64 -pie -nodefaultlibs -lgcc_s -lutil -lrt -lpthread -lm -ldl -lc

Rust Mandelbrot

This test profile is of the combined time for the serial and parallel Mandelbrot sets written in Rustlang via willi-kappler/mandel-rust. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRust MandelbrotTime To Complete Serial/Parallel MandelbroteVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.04, N = 331.381. (CC) gcc options: -m64 -pie -nodefaultlibs -lgcc_s -lutil -lrt -lpthread -lm -ldl -lc

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.71e12 Prime Number GenerationeVGA NVIDIA GeForce GTX 1080 Ti0.85481.70962.56443.41924.274SE +/- 0.012, N = 33.7991. (CXX) g++ options: -O3 -lpthread

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.034, N = 39.2391. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixeleVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.03, N = 310.281. (CC) gcc options: -lm -lpthread -O3

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti1224364860SE +/- 0.06, N = 355.12

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti816243240SE +/- 0.06, N = 333.97

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 17.3Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 0.04, N = 3142.06

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.01, N = 310.40

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefileseVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 0.27, N = 3217.15

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaeVGA NVIDIA GeForce GTX 1080 Ti306090120150SE +/- 0.39, N = 3157.71

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: allmodconfigeVGA NVIDIA GeForce GTX 1080 Ti50100150200250SE +/- 0.43, N = 3246.27

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: defconfigeVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.07, N = 325.07

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti48121620SE +/- 0.07, N = 313.71

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.42, N = 348.89

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti4080120160200SE +/- 1.19, N = 3194.23

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti918273645SE +/- 0.03, N = 341.37

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 11.2.0Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti130260390520650SE +/- 0.27, N = 3624.02

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.02, N = 319.82

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileeVGA NVIDIA GeForce GTX 1080 Ti510152025SE +/- 0.01, N = 319.21

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslesseVGA NVIDIA GeForce GTX 1080 Ti1.25372.50743.76115.01486.2685SE +/- 0.012, N = 35.5721. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslesseVGA NVIDIA GeForce GTX 1080 Ti714212835SE +/- 0.12, N = 328.541. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10eVGA NVIDIA GeForce GTX 1080 Ti0.69681.39362.09042.78723.484SE +/- 0.007, N = 33.0971. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6eVGA NVIDIA GeForce GTX 1080 Ti3691215SE +/- 0.015, N = 39.3261. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 2eVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.01, N = 325.451. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 0eVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.06, N = 348.621. (CXX) g++ options: -O3 -fPIC -lm

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

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

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

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: Decompression RatingeVGA NVIDIA GeForce GTX 1080 Ti80K160K240K320K400KSE +/- 116.09, N = 33763531. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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

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

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 ScalareVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.33, N = 387MIN: 7 / MAX: 2955

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

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: RTLightmap.hdr.4096x4096eVGA NVIDIA GeForce GTX 1080 Ti0.16430.32860.49290.65720.8215SE +/- 0.00, N = 30.73

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: RT.hdr_alb_nrm.3840x2160eVGA NVIDIA GeForce GTX 1080 Ti0.3330.6660.9991.3321.665SE +/- 0.00, N = 31.48

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

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 1080peVGA NVIDIA GeForce GTX 1080 Ti20406080100SE +/- 0.49, N = 380.171. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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

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

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 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

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 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 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

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: 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

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: 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

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: 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

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: 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

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 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

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 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 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 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 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 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 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

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: 10eVGA NVIDIA GeForce GTX 1080 Ti246810SE +/- 0.035, N = 38.295

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: 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: 1eVGA NVIDIA GeForce GTX 1080 Ti0.10690.21380.32070.42760.5345SE +/- 0.001, N = 30.475

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 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 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 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 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 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 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

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 ISPC - Model: Asian Dragon ObjeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.09, N = 341.94MIN: 41.1 / MAX: 43.69

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 - 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 - 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 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: CrowneVGA NVIDIA GeForce GTX 1080 Ti1326395265SE +/- 0.08, N = 357.60MIN: 56.53 / MAX: 61.38

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 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

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 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 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 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 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 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 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 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 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 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 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 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 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

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++

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: Magnetic Reconnection - Renderer: Path TracereVGA NVIDIA GeForce GTX 1080 Ti110220330440550500MIN: 333.33

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: SciViseVGA NVIDIA GeForce GTX 1080 Ti1122334455SE +/- 0.00, N = 347.62MIN: 45.45 / MAX: 50

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: 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: 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: 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: SciViseVGA NVIDIA GeForce GTX 1080 Ti1632486480SE +/- 0.00, N = 371.43MIN: 66.67 / MAX: 76.92

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: 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

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: 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: 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: 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: 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: 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

LuxCoreRender

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

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

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

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: MD5eVGA NVIDIA GeForce GTX 1080 Ti900K1800K2700K3600K4500KSE +/- 28061.44, N = 340606671. (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: BlowfisheVGA NVIDIA GeForce GTX 1080 Ti20K40K60K80K100KSE +/- 102.22, N = 3899661. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt

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

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

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: 19, Long Mode - Decompression SpeedeVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 4.32, N = 33387.41. (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: 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: 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: 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: 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: 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: 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: 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: 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: 3 - Compression SpeedeVGA NVIDIA GeForce GTX 1080 Ti14002800420056007000SE +/- 3.21, N = 36317.61. (CC) gcc options: -O3 -pthread -lz -llzma

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: Rhodopsin ProteineVGA NVIDIA GeForce GTX 1080 Ti612182430SE +/- 0.17, N = 325.131. (CXX) g++ options: -O3 -pthread -lm

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

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: leblancbigeVGA NVIDIA GeForce GTX 1080 Ti1.28172.56343.84515.12686.4085SE +/- 0.017881, N = 35.6963351. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

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

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

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: NVIDIA CUDA GPU MyocyteeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.26, N = 342.981. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FiltereVGA NVIDIA GeForce GTX 1080 Ti1.13872.27743.41614.55485.6935SE +/- 0.061, N = 45.0611. (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

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 LeukocyteeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.16, N = 342.951. (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: 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 LavaMDeVGA NVIDIA GeForce GTX 1080 Ti1020304050SE +/- 0.31, N = 343.591. (CXX) g++ options: -O2 -lOpenCL

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLeVGA NVIDIA GeForce GTX 1080 Ti3K6K9K12K15KSE +/- 131.52, N = 3148861. (CXX) g++ options: -flto -pthread

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: 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

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: 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: 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: 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: 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: 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: 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: 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: 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

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

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 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

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: 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 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: 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 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 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: 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: 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: 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

NeatBench

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

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

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.

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

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.

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

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.

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.

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: 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.

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: 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: 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.

PlaidML

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

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

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: 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: 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.

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.

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: 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

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: 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: 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: 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: 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

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")

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: 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: 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

ViennaCL

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

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

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.

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.

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

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: 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: 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: MagieVGA NVIDIA GeForce GTX 1080 Ti7001400210028003500SE +/- 86.71, N = 153239.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

FFmpeg

This test uses FFmpeg for testing the system's audio/video encoding performance. 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.

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.

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.

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.

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: 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: 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.

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.

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

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.

Parallel BZIP2 Compression

This test measures the time needed to compress a file (a .tar package of the Linux kernel source code) using BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

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.

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. 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: ninja: error: loading 'build.ninja': No such file or directory

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileeVGA NVIDIA GeForce GTX 1080 Ti0.74411.48822.23232.97643.7205SE +/- 0.963, N = 153.307

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

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 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

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

Open FMM Nero2D

This is a test of Nero2D, which is a two-dimensional TM/TE solver for Open FMM. Open FMM is a free collection of electromagnetic software for scattering at very large objects. This test profile times how long it takes to solve one of the included 2D examples. 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: mpirun noticed that process rank 3 with PID 0 on node dev-mighty exited on signal 11 (Segmentation fault).

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: 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

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 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: 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 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: 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: 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: 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 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 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

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

302 Results Shown

Mixbench:
  OpenCL - Single Precision
  OpenCL - Double Precision
SHOC Scalable HeterOgeneous Computing:
  OpenCL - MD5 Hash
  OpenCL - S3D
Hashcat
SHOC Scalable HeterOgeneous Computing
cl-mem
Hashcat
SHOC Scalable HeterOgeneous Computing
Mixbench
Hashcat
Mixbench
Hashcat
SHOC Scalable HeterOgeneous Computing
Mixbench
cl-mem
SHOC Scalable HeterOgeneous Computing
cl-mem
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Bus Speed Download
  OpenCL - Triad
FAHBench
Hashcat
SHOC Scalable HeterOgeneous Computing
Mixbench:
  NVIDIA CUDA - Half Precision
  NVIDIA CUDA - Double Precision
SHOC Scalable HeterOgeneous Computing
Appleseed:
  Material Tester
  Disney Material
  Emily
Natron
NeatBench
Xsbench
clpeak:
  Global Memory Bandwidth
  Double-Precision Double
  Integer Compute INT
Apache Cassandra
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Person Detection 0106 FP32 - CPU:
    ms
    FPS
  Person Detection 0106 FP16 - CPU:
    ms
    FPS
  Face Detection 0106 FP32 - CPU:
    ms
    FPS
  Face Detection 0106 FP16 - CPU:
    ms
    FPS
Sysbench:
  CPU
  RAM / Memory
MariaDB:
  4096
  1024
  256
  128
  64
  32
  16
  8
  1
Intel MPI Benchmarks:
  IMB-MPI1 Sendrecv:
    Average usec
    Average Mbytes/sec
  IMB-MPI1 PingPong:
    Average Mbytes/sec
  IMB-MPI1 Exchange:
    Average usec
    Average Mbytes/sec
  IMB-P2P PingPong:
    Average Msg/sec
ViennaCL:
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dDOT
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dCOPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sCOPY
  CPU BLAS - dGEMM-TT
  CPU BLAS - dGEMM-TN
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-NN
  CPU BLAS - dGEMV-T
  CPU BLAS - dDOT
  CPU BLAS - dAXPY
  CPU BLAS - sDOT
  CPU BLAS - sCOPY
ASKAP:
  Hogbom Clean OpenMP
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
  tConvolve MT - Degridding
  tConvolve MT - Gridding
FinanceBench
Cpuminer-Opt:
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
  LBC, LBRY Credits
  Myriad-Groestl
  Skeincoin
  Garlicoin
  Blake-2 S
  x25x
Aircrack-ng
Tachyon
Radiance Benchmark:
  SMP Parallel
  Serial
N-Queens
m-queens
Timed Wasmer Compilation
Timed Erlang/OTP Compilation
Timed Eigen Compilation
AOBench
oneDNN:
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - f32 - CPU
rays1bench
YafaRay
Tungsten Renderer:
  Volumetric Caustic
  Non-Exponential
  Water Caustic
  Hair
Rust Prime Benchmark
Rust Mandelbrot
Primesieve
POV-Ray
C-Ray
Build2
Timed PHP Compilation
Timed Node.js Compilation
Timed MPlayer Compilation
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
Timed Linux Kernel Compilation:
  allmodconfig
  defconfig
Timed ImageMagick Compilation
Timed Godot Game Engine Compilation
Timed Gem5 Compilation
Timed GDB GNU Debugger Compilation
Timed GCC Compilation
Timed FFmpeg Compilation
Timed Apache Compilation
libavif avifenc:
  10, Lossless
  6, Lossless
  10
  6
  2
  0
ebizzy
Swet
asmFish
7-Zip Compression:
  Decompression Rating
  Compression Rating
Coremark
OpenVKL:
  vklBenchmark Scalar
  vklBenchmark ISPC
Intel Open Image Denoise:
  RTLightmap.hdr.4096x4096
  RT.ldr_alb_nrm.3840x2160
  RT.hdr_alb_nrm.3840x2160
ACES DGEMM
x265:
  Bosphorus 1080p
  Bosphorus 4K
x264
VP9 libvpx Encoding:
  Speed 5 - Bosphorus 1080p
  Speed 0 - Bosphorus 1080p
  Speed 5 - Bosphorus 4K
  Speed 0 - Bosphorus 4K
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
SVT-HEVC:
  10 - Bosphorus 1080p
  7 - Bosphorus 1080p
  1 - Bosphorus 1080p
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 10 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 4 - Bosphorus 1080p
  Preset 12 - Bosphorus 4K
  Preset 10 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 4K
rav1e:
  10
  6
  5
  1
Kvazaar:
  Bosphorus 1080p - Very Fast
  Bosphorus 4K - Very Fast
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Slow
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer - Asian Dragon
  Pathtracer ISPC - Crown
  Pathtracer - Crown
AOM AV1:
  Speed 10 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
  Speed 6 Two-Pass - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 4K
TTSIOD 3D Renderer
OSPray:
  Magnetic Reconnection - Path Tracer
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - SciVis
  XFrog Forest - Path Tracer
  NASA Streamlines - SciVis
  San Miguel - Path Tracer
  XFrog Forest - SciVis
  San Miguel - SciVis
GraphicsMagick:
  HWB Color Space
  Noise-Gaussian
  Resizing
  Enhanced
  Sharpen
  Rotate
  Swirl
LuxCoreRender:
  Rainbow Colors and Prism - GPU
  Rainbow Colors and Prism - CPU
  LuxCore Benchmark - GPU
  LuxCore Benchmark - CPU
  Orange Juice - GPU
  Orange Juice - CPU
  Danish Mood - GPU
  Danish Mood - CPU
  DLSC - GPU
  DLSC - CPU
John The Ripper:
  MD5
  Blowfish
ArrayFire:
  Conjugate Gradient OpenCL
  BLAS CPU
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
  19 - Decompression Speed
  19 - Compression Speed
  8 - Decompression Speed
  8 - Compression Speed
  3 - Compression Speed
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
Pennant:
  leblancbig
  sedovbig
NAMD
Rodinia:
  NVIDIA CUDA GPU Myocyte
  OpenCL Particle Filter
  OpenMP Streamcluster
  OpenMP CFD Solver
  OpenMP Leukocyte
  OpenMP HotSpot3D
  OpenCL Myocyte
  OpenMP LavaMD
LeelaChessZero
NAS Parallel Benchmarks:
  SP.C
  SP.B
  MG.C
  LU.C
  IS.D
  FT.C
  EP.D
  EP.C
  CG.C
  BT.C
High Performance Conjugate Gradient
NeatBench
clpeak
Apache Cassandra
MariaDB:
  2048
  512
ViennaCL:
  CPU BLAS - dGEMV-N
  CPU BLAS - dCOPY
  CPU BLAS - sAXPY
Cpuminer-Opt:
  Ringcoin
  Deepcoin
  Magi
Timed Clash Compilation
Kvazaar:
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Ultra Fast