Linux GPU Compute

Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1601 BIOS) and NVIDIA GeForce RTX 3070 Ti 8GB on Ubuntu 22.04 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 2208115-NE-GPUCOMPUT74
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Identifier
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  Test
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RTX 3060
July 10 2022
  3 Hours, 51 Minutes
RTX 3060 Ti
July 12 2022
  3 Hours, 39 Minutes
RTX 3070
July 12 2022
  3 Hours, 20 Minutes
RTX 3070 Ti
July 12 2022
  3 Hours, 17 Minutes
RTX 3080
July 12 2022
  3 Hours, 14 Minutes
RTX 3080 Ti
July 12 2022
  3 Hours, 43 Minutes
RTX 3090
July 08 2022
  3 Hours, 39 Minutes
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  3 Hours, 32 Minutes

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Linux GPU ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 TiIntel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1601 BIOS)Intel Device 7aa732GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBNVIDIA GeForce RTX 3090 24GBIntel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.045.18.0-051800-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3NVIDIA 515.49.064.6.0OpenCL 3.0 CUDA 11.7.991.3.217GCC 11.2.0ext43840x2160Intel Alder Lake-S PCH1000GB Western Digital WDS100T1X0E-00AFY0eVGA NVIDIA GeForce RTX 3060 12GBIntel Alder Lake-S HD Audio1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBNVIDIA GeForce RTX 3070 8GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 3080 Ti 12GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 3070 Ti 8GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x1f - Thermald 2.4.9Graphics Details- RTX 3090: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.27.00.02- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46- RTX 3070: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2b- RTX 3080: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.20.00.07- RTX 3080 Ti: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.71.00.01- RTX 3060 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2c- RTX 3070 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.5b.00.02OpenCL Details- RTX 3090: GPU Compute Cores: 10496- RTX 3060: GPU Compute Cores: 3584- RTX 3070: GPU Compute Cores: 5888- RTX 3080: GPU Compute Cores: 8704- RTX 3080 Ti: GPU Compute Cores: 10240- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3070 Ti: GPU Compute Cores: 6144Python Details- RTX 3090: Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 TiResult OverviewPhoronix Test Suite100%151%202%253%303%vkpeakHashcatVkResampleLuxCoreRenderLeelaChessZeroChaos Group V-RAYMandelGPUOctaneBenchIndigoBenchFinanceBenchRealSR-NCNNcl-memFAHBenchViennaCLclpeakSHOC Scalable HeterOgeneous ComputingDarktableRodiniaWaifu2x-NCNN VulkanJuliaGPUSmallPT GPU

RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 TiLogarithmic Per Watt Result OverviewPhoronix Test SuiteMeta Performance Per WattsSmallPT GPUJuliaGPUSHOC Scalable HeterOgeneous ComputingclpeakFAHBenchHashcatMandelGPUChaos Group V-RAYIndigoBenchLuxCoreRenderLeelaChessZeroOctaneBenchcl-memP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Linux GPU Computeshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Triadshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Writeviennacl: OpenCL BLAS - sCOPYshoc: OpenCL - Reductioncl-mem: Readviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tclpeak: Global Memory Bandwidthclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Transfer Bandwidth enqueueWriteBuffervkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4shoc: OpenCL - S3Dshoc: OpenCL - FFT SPshoc: OpenCL - GEMM SGEMM_Nclpeak: Single-Precision Floatclpeak: Double-Precision Doubleviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-TTshoc: OpenCL - MD5 Hashvkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4clpeak: Integer Compute INThashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUlczero: OpenCLfahbench: juliagpu: GPUmandelgpu: GPUsmallpt-gpu: GPU - Complexsmallpt-gpu: GPU - Cornellsmallpt-gpu: GPU - Caustic3octanebench: Total Scorev-ray: NVIDIA CUDA GPUv-ray: NVIDIA RTX GPUvkresample: 2x - Singlefinancebench: Monte-Carlo OpenCLfinancebench: Black-Scholes OpenCLrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesrodinia: OpenCL Myocyterodinia: OpenCL Particle Filterdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLclpeak: Kernel LatencyRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti26.352724.436725.03302246.05357.8730.2362389.582793.7498374602717644235374795.9818.2621.3620867.7827459.9120781.4140968.90651.77653.38429.4262103.738197.2734509.53640.1659259459059343.548420754.4820669.2213699.5716879.0617830.0069887233333221008500001109178282036666779817520.68352.71211.288.5410.3410.8531.0161151353.4483492011904.2501044446.7165733889216573390281657339172682.29681208428699.422325.2667156.3875.58729.1853.26628.9403.9571.1181.9210.1240.7074.0926.352223.352425.10021269.69270.3299.9276307.567318.0307294316327331223303315.4318.2621.376808.219036.986820.2613484.60212.35210.82171.946758.3972778.3412563.04212.0420320420415.12466799.666769.024494.325955.726347.142488596666777354666674137899949833332876388.50725.9284.293.264.874.0513.5025149186.7246378413490.2215226018.8165761985116576199841657620126294.862019855116323.184622.23199516.24446610.45168.6924.89928.5659.5212.5732.6260.1261.8653.7726.354323.661724.72052150.10296.4382.6287327.410392.9361331367397402222335389.3918.1021.9211587.4115337.2611579.7122752.71361.35362.02219.1051136.263802.5320056.49361.7633833933725.326911562.5911509.587639.1810095.6310206.344136915714312963333333669744166498333349377512.97037.3946.615.116.986.2220.3340342274.5694426397082.5321865318.9165762835916576284931657628635417.9146851416178717.558465.29671410.3797.79247.3014.02628.1395.9562.5782.6060.1261.8473.7526.354224.250624.69812227.53354.6647.6359390.626673.3477375558632605243379662.2518.1721.8817334.5322809.3617271.0534090.93539.84539.15338.6891763.586356.2329616.92545.5850450650250637.534617172.3717105.4011320.9014594.4515397.275999948571418975633333976022242603333371207817.71846.9999.527.329.039.1426.5456188333.5891459314633.0428359837.3165763791916576380551657638199574.8658831788243611.272388.8207147.3526.01732.8533.33727.9804.1892.5772.6120.1261.8493.7826.353924.388724.70122182.89356.2738.8359383.712794.4492367591707654232369794.6618.1321.8919739.0326094.9719662.1038772.75614.23612.78419.8672016.867981.9033795.91625.4256156355956541.872019552.2219459.2712873.8416331.7617218.7167689533333214214833331086667272865000080005020.28851.90310.988.4510.2310.5130.4861726345.5999472565820.3461789875.5165764873816576488731657649017677.708281206428409.570326.0891426.6815.64129.8193.26828.5583.7572.5792.6180.1281.8703.8626.354623.689024.69272137.68297.3385.9292325.496392.9359330372400403223334389.1518.1721.809750.7512877.559725.9019166.40304.18304.44212.470962.4173435.6316043.12305.2429029128921.56409705.339663.576413.898487.358397.043522180000010987733333578250141213333341794411.50434.0815.734.356.145.3918.0737359245.7954411524637.1285067246.1165766026116576603941657660536387.1688671263163217.689465.27842912.8508.32851.5554.19027.6426.9272.5712.6040.1221.8573.8126.354624.036024.71252102.79338.6518.0339381.559539.5436373482529527238372529.2618.1821.7711705.3915490.3411766.5023227.90366.40367.88285.7871292.094697.6721518.74370.1134734834826.213411695.9911651.047705.9310244.7510945.904267337142913271300000712544170406666750487813.79839.1287.005.427.216.6121.0847753275.1210427836038.7329682482.6165767034716576704811657670624461.8634091505199013.537474.0894349.7307.05741.3263.71828.4045.7712.5792.6050.1241.8443.72OpenBenchmarking.org

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1428425670Min: 34 / Avg: 56.12 / Max: 68Min: 42 / Avg: 54.3 / Max: 65Min: 27 / Avg: 55.86 / Max: 72Min: 25 / Avg: 60.01 / Max: 73Min: 28 / Avg: 60.86 / Max: 75Min: 26 / Avg: 54.14 / Max: 70Min: 34 / Avg: 59.76 / Max: 75

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti60120180240300Min: 26.71 / Avg: 190.85 / Max: 348.7Min: 18.7 / Avg: 88.76 / Max: 170.06Min: 8.61 / Avg: 115.13 / Max: 219.94Min: 8.28 / Avg: 188.35 / Max: 323.12Min: 13.97 / Avg: 211.78 / Max: 349.8Min: 9.47 / Avg: 107.18 / Max: 199.84Min: 13.41 / Avg: 151.19 / Max: 289.69

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 ReadbackRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti612182430SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 15SE +/- 0.00, N = 13SE +/- 0.00, N = 1326.3526.3526.3526.3526.3526.3526.351. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.18090.36180.54270.72360.90450.3760.7820.8040.4380.3500.7720.494

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2468103.6016.3736.4454.2263.4056.3304.956

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.17640.35280.52920.70560.8820.3150.7840.6930.3560.3090.6800.432

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti5101520259.99915.83619.84712.21510.05121.68614.901

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.93021.86042.79063.72084.6512.3874.1343.8822.7412.3623.9543.098

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: TriadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti612182430SE +/- 0.03, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.00, N = 13SE +/- 0.00, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 1524.4423.3523.6624.2524.3923.6924.041. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti612182430SE +/- 0.00, N = 13SE +/- 0.01, N = 13SE +/- 0.03, N = 13SE +/- 0.01, N = 13SE +/- 0.02, N = 13SE +/- 0.01, N = 13SE +/- 0.02, N = 1325.0325.1024.7224.7024.7024.6924.711. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti5001000150020002500SE +/- 6.59, N = 3SE +/- 1.37, N = 4SE +/- 5.40, N = 4SE +/- 7.52, N = 3SE +/- 4.90, N = 3SE +/- 4.32, N = 4SE +/- 4.43, N = 42246.051269.692150.102227.532182.892137.682102.791. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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: CopyRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti80160240320400SE +/- 0.24, N = 9SE +/- 0.05, N = 7SE +/- 0.16, N = 8SE +/- 0.03, N = 9SE +/- 0.02, N = 10SE +/- 0.11, N = 8SE +/- 0.11, N = 9357.8270.3296.4354.6356.2297.3338.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti160320480640800SE +/- 0.77, N = 9SE +/- 0.04, N = 7SE +/- 0.06, N = 8SE +/- 0.09, N = 9SE +/- 0.10, N = 10SE +/- 0.05, N = 8SE +/- 0.04, N = 9730.2299.9382.6647.6738.8385.9518.01. (CC) gcc options: -O2 -flto -lOpenCL

ViennaCL

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

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYRTX 3060 TiRTX 3070RTX 3070 TiRTX 3090RTX 3060RTX 3080RTX 3080 Ti80160240320400SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 32972853373622763593591. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1.19272.38543.57814.77085.96355.3014.8155.1565.2475.2945.2074.802

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: ReductionRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti80160240320400SE +/- 0.07, N = 13SE +/- 0.09, N = 12SE +/- 0.31, N = 12SE +/- 0.08, N = 13SE +/- 0.17, N = 13SE +/- 0.51, N = 12SE +/- 0.13, N = 13389.58307.57327.41390.63383.71325.50381.561. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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: ReadRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2004006008001000SE +/- 0.29, N = 9SE +/- 0.09, N = 7SE +/- 0.13, N = 8SE +/- 0.08, N = 9SE +/- 0.13, N = 10SE +/- 0.11, N = 8SE +/- 0.02, N = 9793.7318.0392.9673.3794.4392.9539.51. (CC) gcc options: -O2 -flto -lOpenCL

ViennaCL

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

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3060 TiRTX 3070RTX 3070 TiRTX 3090RTX 3060RTX 3080RTX 3080 Ti110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 33583594374983074774921. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3060RTX 3070RTX 3070 TiRTX 3090RTX 3080RTX 3080 TiRTX 3060 Ti80160240320400SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 32923283703743753673301. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3070RTX 3090RTX 3060RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti130260390520650SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 33686023165585913724821. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3060 TiRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3070 Ti150300450600750SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 33997173273976327075291. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3060 TiRTX 3070RTX 3090RTX 3060RTX 3080RTX 3080 TiRTX 3070 Ti140280420560700SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 34024016443316056545271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3060 TiRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3070 Ti50100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 32242352232222432322381. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3060RTX 3060 TiRTX 3070 TiRTX 3090RTX 3070RTX 3080RTX 3080 Ti80160240320400SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 33043353713743353793691. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2004006008001000SE +/- 0.22, N = 15SE +/- 0.00, N = 11SE +/- 0.13, N = 15SE +/- 0.03, N = 12SE +/- 0.04, N = 13SE +/- 0.02, N = 13SE +/- 0.03, N = 13795.98315.43389.39662.25794.66389.15529.261. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti48121620SE +/- 0.03, N = 8SE +/- 0.03, N = 5SE +/- 0.05, N = 8SE +/- 0.05, N = 5SE +/- 0.05, N = 5SE +/- 0.07, N = 8SE +/- 0.08, N = 818.2618.2618.1018.1718.1318.1718.181. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti510152025SE +/- 0.08, N = 8SE +/- 0.06, N = 5SE +/- 0.07, N = 8SE +/- 0.10, N = 5SE +/- 0.08, N = 5SE +/- 0.06, N = 8SE +/- 0.06, N = 821.3621.3721.9221.8821.8921.8021.771. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti90180270360450359.46338.88435.01339.06337.79336.23311.99

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1.08882.17763.26644.35525.4443.8623.9184.8393.7713.7044.3323.445

vkpeak

OpenBenchmarking.orgGFLOPS Per Watt, More Is Bettervkpeak 20210424fp64-vec4RTX 30600.55711.11421.67132.22842.78552.476

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 73.54, N = 3SE +/- 41.90, N = 3SE +/- 58.23, N = 3SE +/- 159.53, N = 3SE +/- 200.38, N = 3SE +/- 44.58, N = 3SE +/- 22.27, N = 320867.786808.2111587.4117334.5319739.039750.7511705.39

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2468105.8355.3526.6505.3885.5386.1794.884

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti6K12K18K24K30KSE +/- 66.30, N = 3SE +/- 2.30, N = 3SE +/- 65.69, N = 3SE +/- 50.25, N = 3SE +/- 179.42, N = 3SE +/- 45.93, N = 3SE +/- 0.80, N = 327459.919036.9815337.2622809.3626094.9712877.5515490.34

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 0.16, N = 3SE +/- 16.13, N = 3SE +/- 30.65, N = 3SE +/- 86.43, N = 3SE +/- 135.01, N = 3SE +/- 16.37, N = 3SE +/- 43.21, N = 320781.416820.2611579.7117271.0519662.109725.9011766.50

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti9K18K27K36K45KSE +/- 101.51, N = 3SE +/- 1.19, N = 3SE +/- 11.98, N = 3SE +/- 170.86, N = 3SE +/- 100.05, N = 3SE +/- 30.18, N = 3SE +/- 84.42, N = 340968.9013484.6022752.7134090.9338772.7519166.4023227.90

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti140280420560700SE +/- 1.62, N = 3SE +/- 0.74, N = 3SE +/- 0.34, N = 3SE +/- 2.71, N = 3SE +/- 1.72, N = 3SE +/- 0.72, N = 3SE +/- 0.74, N = 3651.77212.35361.35539.84614.23304.18366.40

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti140280420560700SE +/- 0.03, N = 3SE +/- 0.00, N = 2SE +/- 0.42, N = 3SE +/- 2.58, N = 3SE +/- 1.42, N = 3SE +/- 0.47, N = 3SE +/- 0.01, N = 3653.38210.82362.02539.15612.78304.44367.88

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: S3DRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti90180270360450SE +/- 0.12, N = 13SE +/- 0.05, N = 13SE +/- 0.07, N = 14SE +/- 0.15, N = 14SE +/- 0.09, N = 14SE +/- 0.04, N = 13SE +/- 0.05, N = 14429.43171.95219.11338.69419.87212.47285.791. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti5001000150020002500SE +/- 0.07, N = 12SE +/- 0.18, N = 12SE +/- 0.29, N = 12SE +/- 0.07, N = 13SE +/- 0.14, N = 14SE +/- 0.25, N = 12SE +/- 0.04, N = 122103.73758.401136.261763.582016.86962.421292.091. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2K4K6K8K10KSE +/- 29.85, N = 12SE +/- 5.73, N = 9SE +/- 16.49, N = 10SE +/- 23.13, N = 11SE +/- 24.71, N = 12SE +/- 3.49, N = 10SE +/- 6.05, N = 118197.272778.343802.536356.237981.903435.634697.671. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 FloatRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti7K14K21K28K35KSE +/- 35.71, N = 14SE +/- 11.99, N = 14SE +/- 12.68, N = 14SE +/- 43.31, N = 13SE +/- 46.12, N = 15SE +/- 35.84, N = 14SE +/- 1.58, N = 1434509.5312563.0420056.4929616.9233795.9116043.1221518.741. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti140280420560700SE +/- 1.62, N = 3SE +/- 0.85, N = 3SE +/- 1.02, N = 3SE +/- 1.73, N = 3SE +/- 2.30, N = 3SE +/- 0.47, N = 3SE +/- 0.96, N = 3640.16212.04361.76545.58625.42305.24370.111. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ViennaCL

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090RTX 3080RTX 3080 Ti0.63251.2651.89752.533.16252.8112.6722.621

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 30600.51661.03321.54982.06642.5832.296

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3060RTX 3060 TiRTX 3070RTX 3070 Ti0.6661.3321.9982.6643.332.2922.6352.9342.245

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3060RTX 3060 TiRTX 3070RTX 3090RTX 3080RTX 3080 TiRTX 3070 Ti130260390520650SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.33, N = 3SE +/- 1.00, N = 32042913405925045613471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3060 TiRTX 3070RTX 3090RTX 3060RTX 3080RTX 3080 TiRTX 3070 Ti130260390520650SE +/- 1.50, N = 2SE +/- 0.00, N = 2SE +/- 1.00, N = 3SE +/- 0.00, N = 2SE +/- 1.33, N = 3SE +/- 1.33, N = 3SE +/- 1.00, N = 32923415942045065633481. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3090RTX 3080RTX 3080 Ti130260390520650SE +/- 0.50, N = 2SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 32032913403475905025591. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090RTX 3080RTX 3080 Ti130260390520650SE +/- 1.00, N = 3SE +/- 0.00, N = 25935065651. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.10870.21740.32610.43480.54350.4830.2840.4800.4400.4310.3970.350

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1020304050SE +/- 0.03, N = 14SE +/- 0.00, N = 15SE +/- 0.00, N = 13SE +/- 0.03, N = 14SE +/- 0.05, N = 14SE +/- 0.01, N = 13SE +/- 0.00, N = 1343.5515.1225.3337.5341.8721.5626.211. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

clpeak

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4080120160200137.87139.61165.20124.79132.96130.32125.03

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 0.42, N = 3SE +/- 0.32, N = 3SE +/- 15.80, N = 3SE +/- 86.56, N = 3SE +/- 51.14, N = 3SE +/- 18.16, N = 3SE +/- 0.79, N = 320754.486799.6611562.5917172.3719552.229705.3311695.99

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 16.41, N = 3SE +/- 84.25, N = 3SE +/- 49.71, N = 3SE +/- 18.74, N = 3SE +/- 0.41, N = 320669.226769.0211509.5817105.4019459.279663.5711651.04

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3K6K9K12K15KSE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 11.50, N = 3SE +/- 28.42, N = 3SE +/- 0.07, N = 3SE +/- 11.82, N = 3SE +/- 0.41, N = 313699.574494.327639.1811320.9012873.846413.897705.93

OpenBenchmarking.orgGIOPS Per Watt, More Is Bettervkpeak 20210424int16-vec4RTX 3090RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2040608010064.6485.3968.2662.6980.4065.55

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 1.27, N = 3SE +/- 21.63, N = 3SE +/- 24.75, N = 3SE +/- 15.08, N = 3SE +/- 2.65, N = 3SE +/- 13.25, N = 3SE +/- 0.41, N = 316879.065955.7210095.6314594.4516331.768487.3510244.75

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti4K8K12K16K20KSE +/- 120.91, N = 13SE +/- 6.64, N = 13SE +/- 41.26, N = 13SE +/- 119.12, N = 15SE +/- 79.28, N = 12SE +/- 65.78, N = 15SE +/- 42.92, N = 1317830.006347.1410206.3415397.2717218.718397.0410945.901. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Hashcat

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

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti15000M30000M45000M60000M75000MSE +/- 35085900.94, N = 6SE +/- 23113714.06, N = 6SE +/- 34107189.98, N = 7SE +/- 47721835.02, N = 7SE +/- 63727349.79, N = 6SE +/- 35135391.19, N = 7SE +/- 6723155.24, N = 769887233333248859666674136915714359999485714676895333333522180000042673371429

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti20M40M60M80M100M106101460.4394634461.42104004535.6598663614.59100043686.9397823664.4484457906.11

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti5000M10000M15000M20000M25000MSE +/- 24085870.69, N = 6SE +/- 8351553.42, N = 6SE +/- 11473321.71, N = 6SE +/- 14809381.41, N = 6SE +/- 21246072.84, N = 6SE +/- 5257481.44, N = 6SE +/- 3912288.33, N = 62210085000077354666671296333333318975633333214214833331098773333313271300000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti200K400K600K800K1000KSE +/- 3011.22, N = 9SE +/- 371.72, N = 9SE +/- 1441.17, N = 9SE +/- 612.10, N = 9SE +/- 955.83, N = 9SE +/- 419.32, N = 10SE +/- 348.45, N = 911091784137896697449760221086667578250712544

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti600M1200M1800M2400M3000MSE +/- 2677519.58, N = 6SE +/- 1211725.12, N = 6SE +/- 2532115.94, N = 6SE +/- 3109197.82, N = 6SE +/- 2958462.44, N = 6SE +/- 832532.95, N = 6SE +/- 313758.58, N = 6282036666799498333316649833332426033333272865000014121333331704066667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti200K400K600K800K1000KSE +/- 2665.37, N = 8SE +/- 2289.57, N = 8SE +/- 752.08, N = 8SE +/- 1903.85, N = 9SE +/- 757.11, N = 8SE +/- 1142.14, N = 9SE +/- 1390.42, N = 9798175287638493775712078800050417944504878

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti510152025SE +/- 0.048, N = 3SE +/- 0.006, N = 3SE +/- 0.019, N = 3SE +/- 0.022, N = 3SE +/- 0.028, N = 3SE +/- 0.009, N = 3SE +/- 0.014, N = 320.6838.50712.97017.71820.28811.50413.798

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 352.7125.9337.3947.0051.9034.0839.13

LuxCoreRender

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.01190.02380.03570.04760.05950.0500.0530.0430.0370.0360.0410.037

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.0090.0180.0270.0360.0450.0330.0360.0400.0340.0330.0370.033

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.01060.02120.03180.04240.0530.0350.0470.0450.0360.0350.0440.039

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.01240.02480.03720.04960.0620.0530.0550.0460.0390.0390.0430.039

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.284.296.619.5210.985.737.00MIN: 10.49 / MAX: 11.58MIN: 4.11 / MAX: 4.53MIN: 6.05 / MAX: 6.91MIN: 8.4 / MAX: 9.74MIN: 10.11 / MAX: 11.41MIN: 5.31 / MAX: 5.98MIN: 6.87 / MAX: 7.16

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti246810SE +/- 0.06, N = 3SE +/- 0.02, N = 15SE +/- 0.06, N = 4SE +/- 0.05, N = 12SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 38.543.265.117.328.454.355.42MIN: 2.14 / MAX: 10.54MIN: 0.87 / MAX: 3.88MIN: 1.22 / MAX: 6.27MIN: 1.64 / MAX: 9.08MIN: 2.17 / MAX: 10.28MIN: 1.49 / MAX: 5.3MIN: 1.62 / MAX: 6.55

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 5SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 310.344.876.989.0310.236.147.21MIN: 8.41 / MAX: 13.65MIN: 3.84 / MAX: 6.13MIN: 5.6 / MAX: 8.45MIN: 7.24 / MAX: 11.66MIN: 8.3 / MAX: 13.23MIN: 4.37 / MAX: 7.27MIN: 5.79 / MAX: 8.76

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.854.056.229.1410.515.396.61MIN: 3.57 / MAX: 12.86MIN: 1.14 / MAX: 4.78MIN: 2.17 / MAX: 7.35MIN: 2.47 / MAX: 10.83MIN: 2.79 / MAX: 12.46MIN: 1.78 / MAX: 6.36MIN: 2.19 / MAX: 7.8

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti714212835SE +/- 0.32, N = 6SE +/- 0.06, N = 4SE +/- 0.12, N = 5SE +/- 0.13, N = 6SE +/- 0.47, N = 15SE +/- 0.11, N = 5SE +/- 0.18, N = 531.0113.5020.3326.5430.4818.0721.08MIN: 28.41 / MAX: 33.92MIN: 12.02 / MAX: 14.47MIN: 18.07 / MAX: 21.88MIN: 23.12 / MAX: 29.17MIN: 4.31 / MAX: 33.71MIN: 15.25 / MAX: 19.46MIN: 19.53 / MAX: 22.8

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: OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti13K26K39K52K65KSE +/- 514.58, N = 3SE +/- 205.27, N = 3SE +/- 66.16, N = 3SE +/- 199.06, N = 3SE +/- 231.66, N = 3SE +/- 136.70, N = 3SE +/- 164.81, N = 3611512514940342561886172637359477531. (CXX) g++ options: -flto -pthread

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.56031.12061.68092.24122.80151.8252.2982.4901.8931.7672.4031.909

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti80160240320400SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3353.45186.72274.57333.59345.60245.80275.12

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2K4K6K8K10K9893.961454.126071.238566.059408.695548.856518.35

MandelGPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti800K1600K2400K3200K4000K3558069.623121625.403909868.253420743.433227841.883530918.963034056.00

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti110M220M330M440M550MSE +/- 2811742.88, N = 8SE +/- 642390.88, N = 8SE +/- 3561096.98, N = 8SE +/- 2361749.05, N = 8SE +/- 2408858.67, N = 9SE +/- 1945793.57, N = 8SE +/- 3560374.60, N = 8492011904.2378413490.2426397082.5459314633.0472565820.3411524637.1427836038.71. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

SmallPT GPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: ComplexRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti5M10M15M20M25M7787782.1823066499.5015696067.178820802.247635643.2317485060.8011758663.21

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.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti110M220M330M440M550MSE +/- 1780706.00, N = 10SE +/- 242876.80, N = 7SE +/- 422788.81, N = 9SE +/- 572727.71, N = 10SE +/- 1175920.80, N = 10SE +/- 1279497.74, N = 8SE +/- 530024.12, N = 9501044446.7215226018.8321865318.9428359837.3461789875.5285067246.1329682482.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

SmallPT GPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: CornellRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2M4M6M8M10M5250171.6111552400.608377067.465691498.285194201.299162824.886302630.53

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: ComplexRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti400M800M1200M1600M2000MSE +/- 21.07, N = 3SE +/- 19.92, N = 3SE +/- 19.92, N = 3SE +/- 21.36, N = 3SE +/- 20.21, N = 3SE +/- 19.34, N = 3SE +/- 19.92, N = 316573388921657619851165762835916576379191657648738165766026116576703471. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: Caustic3RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti2M4M6M8M10M5283173.0210690789.958304302.535659717.135178820.329128614.056277002.49

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: CornellRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti400M800M1200M1600M2000MSE +/- 24.54, N = 3SE +/- 24.25, N = 3SE +/- 24.54, N = 3SE +/- 24.54, N = 3SE +/- 24.54, N = 3SE +/- 24.25, N = 3SE +/- 24.54, N = 316573390281657619984165762849316576380551657648873165766039416576704811. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: Caustic3RTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti400M800M1200M1600M2000MSE +/- 25.12, N = 3SE +/- 24.83, N = 3SE +/- 24.54, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.54, N = 3SE +/- 24.83, N = 316573391721657620126165762863516576381991657649017165766053616576706241. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 2020.1Total ScoreRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.54431.08861.63292.17722.72152.0472.4102.4191.9592.0732.4112.042

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti150300450600750682.30294.86417.91574.87677.71387.17461.86

Chaos Group V-RAY

OpenBenchmarking.orgvpaths Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA CUDA GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti36912157.8038.5659.5847.4727.5609.2857.849

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA CUDA GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti400800120016002000SE +/- 2.40, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 3SE +/- 3.51, N = 3SE +/- 1.53, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3208485514161788206412631505

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA RTX GPURTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti6001200180024003000SE +/- 4.93, N = 3SE +/- 1.67, N = 3SE +/- 0.00, N = 3SE +/- 4.91, N = 3SE +/- 6.17, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 32869116317872436284016321990

RealSR-NCNN

MinAvgMaxRTX 309053.056.561.0RTX 306043.053.661.0RTX 307050.057.964.0RTX 308054.058.563.0RTX 3080 Ti56.059.063.0RTX 3060 Ti48.057.064.0RTX 3070 Ti51.060.969.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature Monitor20406080100

MinAvgMaxRTX 309050.061.766.0RTX 306042.062.065.0RTX 307049.067.071.0RTX 308052.066.272.0RTX 3080 Ti52.065.171.0RTX 3060 Ti47.065.870.0RTX 3070 Ti50.070.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature Monitor20406080100

Waifu2x-NCNN Vulkan

MinAvgMaxRTX 309050.053.957.0RTX 306043.051.159.0RTX 307052.056.061.0RTX 308055.058.263.0RTX 3080 Ti55.058.262.0RTX 3060 Ti51.055.761.0RTX 3070 Ti53.059.365.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818GPU Temperature Monitor20406080100

VkResample

MinAvgMaxRTX 309043.045.853.0RTX 306043.048.259.0RTX 307040.043.051.0RTX 308044.046.654.0RTX 3080 Ti44.047.854.0RTX 3060 Ti37.040.250.0RTX 3070 Ti44.048.159.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkResample 1.0GPU Temperature Monitor1632486480

Rodinia

MinAvgMaxRTX 309043.047.649.0RTX 306043.050.756.0RTX 307048.051.954.0RTX 308053.056.559.0RTX 3080 Ti53.057.360.0RTX 3060 Ti47.051.154.0RTX 3070 Ti51.055.957.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature Monitor1632486480

MinAvgMaxRTX 309044.048.251.0RTX 306043.051.159.0RTX 307045.049.152.0RTX 308050.053.756.0RTX 3080 Ti50.053.956.0RTX 3060 Ti43.048.151.0RTX 3070 Ti48.054.558.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature Monitor1632486480

FinanceBench

MinAvgMaxRTX 309048.051.056.0RTX 306043.046.052.0RTX 307044.047.755.0RTX 308048.051.456.0RTX 3080 Ti49.052.660.0RTX 3060 Ti42.046.054.0RTX 3070 Ti46.050.359.0OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-07-25GPU Temperature Monitor1632486480

MinAvgMaxRTX 309043.045.148.0RTX 306047.048.450.0RTX 307039.040.843.0RTX 308042.044.347.0RTX 3080 Ti42.045.148.0RTX 3060 Ti37.038.441.0RTX 3070 Ti41.043.847.0OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-07-25GPU Temperature Monitor1428425670

Darktable

MinAvgMaxRTX 309047.049.354.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1530456075

MinAvgMaxRTX 309044.045.948.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1428425670

MinAvgMaxRTX 309040.042.044.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1224364860

MinAvgMaxRTX 309039.041.143.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature Monitor1224364860

clpeak

MinAvgMaxRTX 309049.053.359.0RTX 306043.045.448.0RTX 307045.048.755.0RTX 308050.054.460.0RTX 3080 Ti50.054.861.0RTX 3060 Ti43.047.954.0RTX 3070 Ti47.051.957.0OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature Monitor20406080100

Darktable

MinAvgMaxRTX 306043.045.548.0RTX 307041.044.347.0RTX 308045.048.051.0RTX 3080 Ti46.049.552.0RTX 3060 Ti39.041.845.0RTX 3070 Ti45.049.954.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.8.1GPU Temperature Monitor1530456075

MinAvgMaxRTX 306046.048.751.0RTX 307038.039.341.0RTX 308041.043.145.0RTX 3080 Ti43.044.446.0RTX 3060 Ti35.036.938.0RTX 3070 Ti41.044.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.8.1GPU Temperature Monitor1530456075

MinAvgMaxRTX 306049.050.352.0RTX 307035.036.338.0RTX 308038.039.541.0RTX 3080 Ti39.040.943.0RTX 3060 Ti33.034.435.0RTX 3070 Ti38.040.543.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.8.1GPU Temperature Monitor1530456075

MinAvgMaxRTX 306050.052.354.0RTX 307034.035.136.0RTX 308037.037.839.0RTX 3080 Ti38.039.841.0RTX 3060 Ti33.035.237.0RTX 3070 Ti37.039.241.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.8.1GPU Temperature Monitor1530456075

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti612182430SE +/- 0.009, N = 5SE +/- 0.006, N = 5SE +/- 0.007, N = 5SE +/- 0.003, N = 5SE +/- 0.003, N = 5SE +/- 0.006, N = 5SE +/- 0.002, N = 59.42223.18417.55811.2729.57017.68913.5371. (CXX) g++ options: -O3

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: Monte-Carlo OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti130260390520650SE +/- 0.69, N = 7SE +/- 0.29, N = 7SE +/- 0.28, N = 7SE +/- 0.29, N = 7SE +/- 0.41, N = 7SE +/- 0.34, N = 7SE +/- 0.04, N = 7325.27622.23465.30388.82326.09465.28474.091. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti48121620SE +/- 0.066100, N = 15SE +/- 0.030644, N = 15SE +/- 0.005828, N = 14SE +/- 0.054610, N = 15SE +/- 0.074354, N = 15SE +/- 0.000768, N = 15SE +/- 0.004661, N = 146.38700016.24446610.3790007.3520006.68100012.8500009.7300001. (CXX) g++ options: -O3 -march=native -fopenmp

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3691215SE +/- 0.014, N = 7SE +/- 0.004, N = 5SE +/- 0.006, N = 6SE +/- 0.012, N = 7SE +/- 0.012, N = 7SE +/- 0.008, N = 6SE +/- 0.008, N = 65.58710.4517.7926.0175.6418.3287.057

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1530456075SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 329.1968.6947.3032.8529.8251.5641.33

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti1.10232.20463.30694.40925.5115SE +/- 0.004, N = 9SE +/- 0.010, N = 7SE +/- 0.004, N = 8SE +/- 0.007, N = 9SE +/- 0.005, N = 9SE +/- 0.003, N = 8SE +/- 0.005, N = 93.2664.8994.0263.3373.2684.1903.718

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti714212835SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 328.9428.5728.1427.9828.5627.6428.401. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti3691215SE +/- 0.023, N = 8SE +/- 0.028, N = 5SE +/- 0.008, N = 7SE +/- 0.003, N = 8SE +/- 0.009, N = 8SE +/- 0.008, N = 6SE +/- 0.002, N = 73.9579.5215.9564.1893.7576.9275.7711. (CXX) g++ options: -O2 -lOpenCL

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.58031.16061.74092.32122.9015SE +/- 0.006, N = 10SE +/- 0.008, N = 9SE +/- 0.016, N = 9SE +/- 0.011, N = 9SE +/- 0.009, N = 9SE +/- 0.010, N = 9SE +/- 0.013, N = 91.1182.5732.5782.5772.5792.5712.579

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.59091.18181.77272.36362.9545SE +/- 0.005, N = 10SE +/- 0.008, N = 9SE +/- 0.006, N = 9SE +/- 0.007, N = 9SE +/- 0.010, N = 9SE +/- 0.005, N = 9SE +/- 0.008, N = 91.9212.6262.6062.6122.6182.6042.605

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.02880.05760.08640.11520.144SE +/- 0.001, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.003, N = 15SE +/- 0.004, N = 150.1240.1260.1260.1260.1280.1220.124

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: OpenCLRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.42080.84161.26241.68322.104SE +/- 0.002, N = 12SE +/- 0.008, N = 10SE +/- 0.009, N = 10SE +/- 0.007, N = 10SE +/- 0.006, N = 10SE +/- 0.006, N = 10SE +/- 0.011, N = 100.7071.8651.8471.8491.8701.8571.844

clpeak

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

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRTX 3090RTX 3060RTX 3070RTX 3080RTX 3080 TiRTX 3060 TiRTX 3070 Ti0.92031.84062.76093.68124.6015SE +/- 0.01, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 154.093.773.753.783.863.813.721. (CXX) g++ options: -O3 -rdynamic -lOpenCL

123 Results Shown

GPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - Reduction
  OpenCL - Bus Speed Download
  OpenCL - Texture Read Bandwidth
  Copy
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - Bus Speed Download
  OpenCL - Texture Read Bandwidth
cl-mem:
  Copy
  Write
ViennaCL
cl-mem
SHOC Scalable HeterOgeneous Computing
cl-mem
ViennaCL:
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - dCOPY
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dDOT
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dGEMV-T
clpeak:
  Global Memory Bandwidth
  Transfer Bandwidth enqueueReadBuffer
  Transfer Bandwidth enqueueWriteBuffer
clpeak:
  Single-Precision Float
  Double-Precision Double
  fp64-vec4
vkpeak
SHOC Scalable HeterOgeneous Computing
vkpeak:
  fp32-vec4
  fp16-scalar
  fp16-vec4
  fp64-scalar
  fp64-vec4
SHOC Scalable HeterOgeneous Computing:
  OpenCL - S3D
  OpenCL - FFT SP
  OpenCL - GEMM SGEMM_N
clpeak:
  Single-Precision Float
  Double-Precision Double
ViennaCL:
  OpenCL BLAS - dGEMM-TT
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
ViennaCL:
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-TT
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing
clpeak
vkpeak:
  int32-scalar
  int32-vec4
  int16-scalar
vkpeak
vkpeak
clpeak
Hashcat
Hashcat
Hashcat:
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
LuxCoreRender:
  DLSC - GPU
  Danish Mood - GPU
  Orange Juice - GPU
  LuxCore Benchmark - GPU
LuxCoreRender:
  DLSC - GPU
  Danish Mood - GPU
  Orange Juice - GPU
  LuxCore Benchmark - GPU
  Rainbow Colors and Prism - GPU
LeelaChessZero
FAHBench
FAHBench
Meta Performance Per Watts:
  Performance Per Watts
  GPU
JuliaGPU
SmallPT GPU
MandelGPU
SmallPT GPU
SmallPT GPU
SmallPT GPU
SmallPT GPU:
  GPU - Cornell
  GPU - Caustic3
OctaneBench
OctaneBench
Chaos Group V-RAY
Chaos Group V-RAY:
  NVIDIA CUDA GPU
  NVIDIA RTX GPU
RealSR-NCNN:
  GPU Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
VkResample
FinanceBench:
  Monte-Carlo OpenCL
  Black-Scholes OpenCL
RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan
Rodinia:
  OpenCL Myocyte
  OpenCL Particle Filter
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Rack - OpenCL
  Server Room - OpenCL
clpeak