NVIDIA GPU Compute

Benchmarks for a future article.

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CPU Massive 3 Tests
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HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
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NVIDIA GPU Compute 15 Tests
OpenCL 8 Tests
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Vulkan Compute 3 Tests

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  Test
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RTX 3060
July 16 2022
  2 Hours, 44 Minutes
RTX 3060 Ti
July 16 2022
  2 Hours, 32 Minutes
RTX 3070
July 16 2022
  2 Hours, 34 Minutes
RTX 3070 Ti
July 17 2022
  2 Hours, 39 Minutes
RTX 3080
July 15 2022
  2 Hours, 28 Minutes
RTX 3080 Ti
July 16 2022
  2 Hours, 28 Minutes
RTX 3090
July 10 2022
  2 Hours, 35 Minutes
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  2 Hours, 34 Minutes

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NVIDIA GPU ComputeOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 5800X3D 8-Core @ 3.40GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VIII HERO (4201 BIOS)AMD Starship/Matisse32GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB Samsung SSD 980 PRO 2TBeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 3070 8GBNVIDIA GeForce RTX 3070 Ti 8GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 3080 Ti 12GBNVIDIA GeForce RTX 3090 24GBNVIDIA GA106 HD AudioNVIDIA GA104 HD AudioNVIDIA GA102 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 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 11.7.991.2.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GPU Compute BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa20120a- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.06.14.40.46- RTX 3060 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2c- RTX 3070: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2b- RTX 3070 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.5b.00.02- 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 3090: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.27.00.02- RTX 3060: GPU Compute Cores: 3584- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3070: GPU Compute Cores: 5888- RTX 3070 Ti: GPU Compute Cores: 6144- RTX 3080: GPU Compute Cores: 8704- RTX 3080 Ti: GPU Compute Cores: 10240- RTX 3090: GPU Compute Cores: 10496- 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090Result OverviewPhoronix Test Suite100%146%192%238%284%HashcatSHOC Scalable HeterOgeneous ComputingRodiniaVkResampleLuxCoreRenderLeelaChessZeroIndigoBenchFinanceBenchMandelGPURealSR-NCNNcl-memViennaCLclpeakFAHBenchWaifu2x-NCNN VulkanDarktableJuliaGPU

RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090Per Watt Result OverviewPhoronix Test Suite100%126%153%179%205%JuliaGPUclpeakFAHBenchSHOC Scalable HeterOgeneous ComputingMandelGPUHashcatIndigoBenchLeelaChessZerocl-memLuxCoreRenderP.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

NVIDIA GPU Computedarktable: Boat - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLlczero: OpenCLshoc: OpenCL - S3Dshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Max SP Flopsrodinia: OpenCL Particle Filterindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfahbench: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSfinancebench: Monte-Carlo OpenCLfinancebench: Black-Scholes OpenCLcl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Kernel Latencyclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthclpeak: Transfer Bandwidth enqueueReadBuffermandelgpu: GPUviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesvkresample: 2x - Singlewaifu2x-ncnn: 2x - 3 - Yesjuliagpu: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901.9980.1410.90028640172.672758.84415.10302768.2213566.79.5328.52325.9474.302.974.913.7313.64186.0700248520666677735900000411333993200000293257619.04116816.222734270.1317.8302.74.656368.8012581.21213.28315.3913.29212133611.627630629331532732920420320410.77369.03323.1645.025305403296.11.6720.1410.81342098211.725961.90521.52903435.0419429.86.95211.50534.0445.754.056.204.9518.28243.220235244157143109741500005731331411433333416300463.72216312.878296.9392.7383.64.728369.3716000.79304.06389.1013.32285236027.42883593273513993972922942918.62051.81917.6804.324331465943.81.5820.1360.79445516218.0941133.3525.29463796.8923184.45.88612.95237.3326.634.816.965.7320.38272.266041346933333129490500006646331662983333491675463.69733210.436294.8392.9379.74.7210228.6020075.82361.50389.3713.30324407884.82843593223683953983413423408.08147.62717.5754.164343766836.71.4340.1330.76551302285.2231291.1826.19994711.3523323.65.84813.76838.9927.004.897.146.0521.12271.587142528233333132172333337031001697183333506188472.5978349.759337.1538.5513.94.6510922.6821511.25370.16529.3213.65329213346.43354363634645285193463473457.33141.66813.5783.856346928151.51.3000.1320.74363379338.1971761.8937.52286270.9634065.34.26917.67946.6759.526.679.008.3726.64328.381360165183333189782666679638442421850000708913388.3474997.280354.7672.6642.94.7115428.9529623.78545.92662.0013.33420816923.13584743715546296025015035006.26133.02811.2653.463362268066.41.2340.1320.72767451420.2272014.7842.05358056.3137916.63.79520.25851.83711.007.9710.069.7031.27339.6118674558833332133978333310690672723233333796275323.9128376.503355.0795.8736.94.7617388.0433708.85622.73794.0413.38449383091.83604923615947056475655665625.89330.0859.5613.394366866427.61.2060.1300.71968676429.7582101.4544.22338152.5539615.23.65520.95653.39911.448.1210.4310.1530.78351.7042713154000002255543333311230252874333333820171321.8498386.197364.2817.7745.34.7518125.5235141.28656.12812.3413.52470569461.23664993716077236566016045995.74828.8229.3103.335368101296.7OpenBenchmarking.org

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30900.44960.89921.34881.79842.248SE +/- 0.003, N = 10SE +/- 0.005, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 11SE +/- 0.005, N = 11SE +/- 0.006, N = 11SE +/- 0.002, N = 101.9981.6721.5821.4341.3001.2341.206

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: OpenCLRTX 3060 TiRTX 3060RTX 3070RTX 3070 TiRTX 3080 TiRTX 3080RTX 30900.03170.06340.09510.12680.1585SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 130.1410.1410.1360.1330.1320.1320.130

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: OpenCLRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30900.20250.4050.60750.811.0125SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 110.9000.8130.7940.7650.7430.7270.719

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 309015K30K45K60K75KSE +/- 134.62, N = 3SE +/- 504.73, N = 3SE +/- 346.36, N = 3SE +/- 245.06, N = 3SE +/- 173.33, N = 3SE +/- 567.42, N = 3SE +/- 461.39, N = 3286404209845516513026337967451686761. (CXX) g++ options: -flto -pthread

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 309090180270360450SE +/- 0.03, N = 13SE +/- 0.04, N = 13SE +/- 0.10, N = 13SE +/- 0.13, N = 13SE +/- 0.20, N = 13SE +/- 0.11, N = 13SE +/- 0.20, N = 12172.67211.73218.09285.22338.20420.23429.761. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30905001000150020002500SE +/- 0.18, N = 12SE +/- 0.04, N = 12SE +/- 0.83, N = 13SE +/- 0.04, N = 13SE +/- 0.11, N = 13SE +/- 0.11, N = 13SE +/- 0.14, N = 13758.84961.911133.351291.181761.892014.782101.451. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901020304050SE +/- 0.01, N = 12SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 15SE +/- 0.03, N = 14SE +/- 0.04, N = 14SE +/- 0.05, N = 1415.1021.5325.2926.2037.5242.0544.221. (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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30902K4K6K8K10KSE +/- 5.08, N = 9SE +/- 4.08, N = 10SE +/- 16.06, N = 10SE +/- 8.40, N = 10SE +/- 13.25, N = 11SE +/- 41.59, N = 12SE +/- 21.61, N = 122768.223435.043796.894711.356270.968056.318152.551. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30908K16K24K32K40KSE +/- 30.73, N = 3SE +/- 26.67, N = 3SE +/- 31.48, N = 3SE +/- 61.13, N = 3SE +/- 200.43, N = 3SE +/- 191.65, N = 3SE +/- 136.53, N = 313566.719429.823184.423323.634065.337916.639615.21. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30903691215SE +/- 0.020, N = 5SE +/- 0.011, N = 6SE +/- 0.007, N = 7SE +/- 0.008, N = 7SE +/- 0.006, N = 8SE +/- 0.003, N = 8SE +/- 0.019, N = 99.5326.9525.8865.8484.2693.7953.6551. (CXX) g++ options: -O2 -lOpenCL

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090510152025SE +/- 0.010, N = 3SE +/- 0.014, N = 3SE +/- 0.027, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 3SE +/- 0.042, N = 3SE +/- 0.033, N = 38.52311.50512.95213.76817.67920.25820.956

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 325.9534.0437.3338.9946.6851.8453.40

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30903691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.305.756.637.009.5211.0011.44MIN: 4.18 / MAX: 4.53MIN: 5.62 / MAX: 5.95MIN: 6.25 / MAX: 6.91MIN: 6.86 / MAX: 7.14MIN: 9.11 / MAX: 9.69MIN: 10.28 / MAX: 11.23MIN: 9.35 / MAX: 11.78

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090246810SE +/- 0.04, N = 4SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 4SE +/- 0.08, N = 3SE +/- 0.08, N = 62.974.054.814.896.677.978.12MIN: 0.94 / MAX: 3.68MIN: 1.18 / MAX: 5.06MIN: 1.12 / MAX: 6.01MIN: 1.07 / MAX: 6.21MIN: 1.29 / MAX: 8.52MIN: 1.8 / MAX: 10.01MIN: 1.69 / MAX: 10.34

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30903691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.916.206.967.149.0010.0610.43MIN: 3.98 / MAX: 5.9MIN: 5.02 / MAX: 7.26MIN: 5.61 / MAX: 8.4MIN: 5.74 / MAX: 8.73MIN: 7.24 / MAX: 11.5MIN: 8.14 / MAX: 13.08MIN: 8.51 / MAX: 13.71

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30903691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 33.734.955.736.058.379.7010.15MIN: 1.09 / MAX: 4.57MIN: 1.35 / MAX: 6.1MIN: 1.49 / MAX: 7.09MIN: 1.49 / MAX: 7.45MIN: 2.34 / MAX: 10.37MIN: 2.67 / MAX: 12.01MIN: 2.67 / MAX: 12.58

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3090RTX 3080 Ti714212835SE +/- 0.08, N = 4SE +/- 0.05, N = 5SE +/- 0.20, N = 6SE +/- 0.08, N = 5SE +/- 0.14, N = 6SE +/- 0.16, N = 6SE +/- 0.18, N = 613.6418.2820.3821.1226.6430.7831.27MIN: 12 / MAX: 14.49MIN: 16.54 / MAX: 19.47MIN: 19.05 / MAX: 21.89MIN: 19.82 / MAX: 22.81MIN: 24.31 / MAX: 29.16MIN: 28.56 / MAX: 34.37MIN: 28.18 / MAX: 33.72

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 2.3.2RTX 3060RTX 3060 TiRTX 3070 TiRTX 3070RTX 3080RTX 3080 TiRTX 309080160240320400SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 3SE +/- 0.12, N = 3186.07243.22271.59272.27328.38339.61351.70

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 309015000M30000M45000M60000M75000MSE +/- 13467161.71, N = 6SE +/- 28489169.68, N = 7SE +/- 35442607.75, N = 6SE +/- 33659002.43, N = 6SE +/- 64657159.52, N = 6SE +/- 75640859.40, N = 6SE +/- 40483041.72, N = 624852066667352441571434134693333342528233333601651833336745588333371315400000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30905000M10000M15000M20000M25000MSE +/- 8981573.73, N = 6SE +/- 11825192.04, N = 6SE +/- 7193225.98, N = 6SE +/- 18212096.10, N = 6SE +/- 11254589.19, N = 6SE +/- 29607931.56, N = 6SE +/- 15969338.68, N = 67735900000109741500001294905000013217233333189782666672133978333322555433333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090200K400K600K800K1000KSE +/- 486.77, N = 9SE +/- 923.46, N = 9SE +/- 294.39, N = 9SE +/- 1169.52, N = 9SE +/- 2098.29, N = 9SE +/- 463.08, N = 9SE +/- 480.98, N = 841133357313366463370310096384410690671123025

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090600M1200M1800M2400M3000MSE +/- 493288.29, N = 6SE +/- 704114.89, N = 6SE +/- 3141169.28, N = 6SE +/- 2413906.47, N = 6SE +/- 2677156.45, N = 6SE +/- 3496823.96, N = 6SE +/- 2053885.21, N = 6993200000141143333316629833331697183333242185000027232333332874333333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090200K400K600K800K1000KSE +/- 2490.54, N = 7SE +/- 1561.02, N = 8SE +/- 2213.90, N = 8SE +/- 982.06, N = 8SE +/- 722.70, N = 8SE +/- 2462.70, N = 8SE +/- 2556.01, N = 7293257416300491675506188708913796275820171

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 3060RTX 3070 TiRTX 3060 TiRTX 3070RTX 3080RTX 3080 TiRTX 3090130260390520650SE +/- 0.40, N = 6SE +/- 0.42, N = 6SE +/- 1.02, N = 6SE +/- 0.21, N = 6SE +/- 0.59, N = 6SE +/- 0.56, N = 6SE +/- 0.87, N = 6619.04472.60463.72463.70388.35323.91321.851. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 309048121620SE +/- 0.020358, N = 15SE +/- 0.010411, N = 14SE +/- 0.038011, N = 14SE +/- 0.022159, N = 15SE +/- 0.008151, N = 14SE +/- 0.060047, N = 15SE +/- 0.006061, N = 1416.22273412.87800010.4360009.7590007.2800006.5030006.1970001. (CXX) g++ options: -O3 -march=native -fopenmp

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 3060RTX 3070RTX 3060 TiRTX 3070 TiRTX 3080RTX 3080 TiRTX 309080160240320400SE +/- 0.09, N = 7SE +/- 0.11, N = 8SE +/- 0.25, N = 8SE +/- 0.15, N = 9SE +/- 0.15, N = 9SE +/- 0.08, N = 9SE +/- 0.06, N = 10270.1294.8296.9337.1354.7355.0364.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30902004006008001000SE +/- 0.05, N = 7SE +/- 0.15, N = 8SE +/- 0.12, N = 8SE +/- 0.07, N = 9SE +/- 0.12, N = 9SE +/- 0.13, N = 9SE +/- 0.15, N = 10317.8392.7392.9538.5672.6795.8817.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3060RTX 3070RTX 3060 TiRTX 3070 TiRTX 3080RTX 3080 TiRTX 3090160320480640800SE +/- 0.04, N = 7SE +/- 0.08, N = 8SE +/- 0.03, N = 8SE +/- 0.14, N = 9SE +/- 0.17, N = 9SE +/- 0.29, N = 9SE +/- 0.24, N = 10302.7379.7383.6513.9642.9736.9745.31. (CC) gcc options: -O2 -flto -lOpenCL

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 3080 TiRTX 3090RTX 3070RTX 3060 TiRTX 3080RTX 3070 TiRTX 30601.0712.1423.2134.2845.355SE +/- 0.01, N = 15SE +/- 0.01, N = 14SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 154.764.754.724.724.714.654.651. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30904K8K12K16K20KSE +/- 13.59, N = 13SE +/- 79.68, N = 15SE +/- 42.79, N = 13SE +/- 41.03, N = 13SE +/- 110.93, N = 15SE +/- 122.95, N = 12SE +/- 113.39, N = 126368.808369.3710228.6010922.6815428.9517388.0418125.521. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30908K16K24K32K40KSE +/- 9.33, N = 14SE +/- 12.46, N = 14SE +/- 13.72, N = 15SE +/- 12.39, N = 15SE +/- 78.19, N = 13SE +/- 28.97, N = 14SE +/- 38.81, N = 1412581.2116000.7920075.8221511.2529623.7833708.8535141.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090140280420560700SE +/- 0.67, N = 3SE +/- 0.39, N = 3SE +/- 0.77, N = 3SE +/- 0.25, N = 3SE +/- 0.35, N = 3SE +/- 2.99, N = 3SE +/- 1.60, N = 3213.28304.06361.50370.16545.92622.73656.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30902004006008001000SE +/- 0.03, N = 15SE +/- 0.01, N = 13SE +/- 0.14, N = 15SE +/- 0.01, N = 13SE +/- 0.20, N = 15SE +/- 0.40, N = 13SE +/- 0.82, N = 14315.39389.10389.37529.32662.00794.04812.341. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferRTX 3060RTX 3070RTX 3060 TiRTX 3080RTX 3080 TiRTX 3090RTX 3070 Ti48121620SE +/- 0.12, N = 4SE +/- 0.07, N = 6SE +/- 0.12, N = 7SE +/- 0.05, N = 4SE +/- 0.13, N = 6SE +/- 0.14, N = 15SE +/- 0.11, N = 1513.2913.3013.3213.3313.3813.5213.651. (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.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090100M200M300M400M500MSE +/- 316579.92, N = 7SE +/- 409555.49, N = 8SE +/- 617743.30, N = 9SE +/- 303349.87, N = 9SE +/- 443784.10, N = 10SE +/- 735254.80, N = 10SE +/- 1125013.79, N = 10212133611.6285236027.4324407884.8329213346.4420816923.1449383091.8470569461.21. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 3060RTX 3070RTX 3060 TiRTX 3070 TiRTX 3080 TiRTX 3080RTX 309080160240320400SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 32742842883323583583661. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090110220330440550SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 33063583594354744914991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3060RTX 3070RTX 3060 TiRTX 3080 TiRTX 3070 TiRTX 3080RTX 309080160240320400SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 32883223273613633713711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090130260390520650SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 33153513684645545926071. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3060RTX 3070RTX 3060 TiRTX 3070 TiRTX 3080RTX 3080 TiRTX 3090160320480640800SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 33273953995286297037231. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090140280420560700SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 33293973985196026446561. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090130260390520650SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.00, N = 3SE +/- 1.33, N = 3SE +/- 1.00, N = 3SE +/- 1.67, N = 32042923403455015616011. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090130260390520650SE +/- 0.00, N = 2SE +/- 1.53, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 32032933413465035636041. (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 3080RTX 3080 TiRTX 3090130260390520650SE +/- 0.00, N = 2SE +/- 0.00, N = 2SE +/- 0.88, N = 3SE +/- 0.00, N = 3SE +/- 1.67, N = 3SE +/- 1.20, N = 3SE +/- 1.67, N = 32032913393445005595991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30903691215SE +/- 0.017, N = 5SE +/- 0.009, N = 5SE +/- 0.008, N = 6SE +/- 0.017, N = 6SE +/- 0.005, N = 7SE +/- 0.007, N = 7SE +/- 0.006, N = 710.7738.6208.0817.3316.2615.8935.748

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901530456075SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 369.0351.8247.6341.6733.0330.0928.82

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 3090612182430SE +/- 0.011, N = 5SE +/- 0.011, N = 5SE +/- 0.004, N = 5SE +/- 0.005, N = 5SE +/- 0.007, N = 5SE +/- 0.007, N = 5SE +/- 0.012, N = 523.16417.68017.57513.57811.2659.5619.3101. (CXX) g++ options: -O3

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 30901.13062.26123.39184.52245.653SE +/- 0.007, N = 7SE +/- 0.003, N = 8SE +/- 0.003, N = 8SE +/- 0.004, N = 8SE +/- 0.004, N = 9SE +/- 0.003, N = 9SE +/- 0.003, N = 95.0254.3244.1643.8563.4633.3943.335

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 3060RTX 3060 TiRTX 3070RTX 3070 TiRTX 3080RTX 3080 TiRTX 309080M160M240M320M400MSE +/- 727588.65, N = 7SE +/- 1475666.08, N = 7SE +/- 948671.39, N = 7SE +/- 1517808.00, N = 7SE +/- 1966974.36, N = 8SE +/- 1031833.35, N = 8SE +/- 974048.68, N = 8305403296.1331465943.8343766836.7346928151.5362268066.4366866427.6368101296.71. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3080 TiRTX 3090RTX 3080RTX 3070 TiRTX 3070RTX 3060 TiRTX 306060120180240300Min: 14.36 / Avg: 192.82 / Max: 350.38Min: 6.9 / Avg: 185.89 / Max: 349.02Min: 6.09 / Avg: 166.07 / Max: 321.26Min: 13.29 / Avg: 133.59 / Max: 289.89Min: 16.13 / Avg: 98.45 / Max: 220.01Min: 9.87 / Avg: 91.95 / Max: 199.9Min: 11.81 / Avg: 72.58 / Max: 170.09

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 3080 TiRTX 3070 TiRTX 3080RTX 3090RTX 3070RTX 3060RTX 3060 Ti1530456075Min: 29 / Avg: 61.78 / Max: 77Min: 28 / Avg: 61.27 / Max: 80Min: 32 / Avg: 61.17 / Max: 76Min: 32 / Avg: 56.51 / Max: 69Min: 31 / Avg: 54.44 / Max: 73Min: 28 / Avg: 53.35 / Max: 67Min: 29 / Avg: 53.05 / Max: 71