GPU Compute

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2207170-NE-AMDGPUCOM09
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CPU Massive 4 Tests
Creator Workloads 4 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 4 Tests
NVIDIA GPU Compute 18 Tests
OpenCL 9 Tests
Renderers 3 Tests
Vulkan Compute 4 Tests

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  Test
  Duration
RTX 3090
July 10 2022
  4 Hours, 51 Minutes
RTX 3080
July 15 2022
  4 Hours, 44 Minutes
RTX 3060 Ti
July 16 2022
  4 Hours, 46 Minutes
RTX 3080 Ti
July 16 2022
  4 Hours, 43 Minutes
RTX 3060
July 16 2022
  4 Hours, 58 Minutes
RTX 3070
July 16 2022
  4 Hours, 48 Minutes
RTX 3070 Ti
July 17 2022
  4 Hours, 54 Minutes
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  4 Hours, 49 Minutes

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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 2TBNVIDIA GeForce RTX 3090 24GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 3080 Ti 12GBeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA GeForce RTX 3070 8GBNVIDIA GeForce RTX 3070 Ti 8GBNVIDIA GA102 HD AudioNVIDIA GA104 HD AudioNVIDIA GA106 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 ResolutionGPU 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 3090: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.27.00.02- RTX 3080: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.20.00.07- RTX 3060 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.25.00.2c- RTX 3080 Ti: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 94.02.71.00.01- 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 3070 Ti: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.5b.00.02- RTX 3090: GPU Compute Cores: 10496- RTX 3080: GPU Compute Cores: 8704- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3080 Ti: GPU Compute Cores: 10240- RTX 3060: GPU Compute Cores: 3584- RTX 3070: GPU Compute Cores: 5888- RTX 3070 Ti: GPU Compute Cores: 6144- 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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 TiResult OverviewPhoronix Test Suite100%146%192%238%284%HashcatChaos Group V-RAYVkResampleLuxCoreRenderLeelaChessZeroOctaneBenchIndigoBenchFinanceBenchMandelGPURealSR-NCNNcl-memFAHBenchViennaCLSHOC Scalable HeterOgeneous ComputingclpeakRodiniaWaifu2x-NCNN VulkanDarktableJuliaGPUvkpeakSmallPT GPU

RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 TiPer Watt Result OverviewPhoronix Test Suite100%136%172%208%244%SmallPT GPUMeta Performance Per WattsJuliaGPUvkpeakSHOC Scalable HeterOgeneous ComputingclpeakFAHBenchMandelGPUHashcatChaos Group V-RAYIndigoBenchOctaneBenchLeelaChessZerocl-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.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

GPU Computeclpeak: Double-Precision Doubleviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-NNshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - MD5 Hashshoc: OpenCL - Max SP Flopshashcat: SHA1hashcat: SHA-512hashcat: MD5clpeak: Integer Compute INThashcat: TrueCrypt RIPEMD160 + XTSclpeak: Single-Precision Floatshoc: OpenCL - FFT SPluxcorerender: Danish Mood - GPUhashcat: 7-Zipluxcorerender: LuxCore Benchmark - GPUluxcorerender: DLSC - GPUfinancebench: Black-Scholes OpenCLrodinia: OpenCL Particle Filterclpeak: Global Memory Bandwidthcl-mem: Readv-ray: NVIDIA RTX GPUshoc: OpenCL - S3Dvkresample: 2x - Singlev-ray: NVIDIA CUDA GPUcl-mem: Writeindigobench: OpenCL GPU - Bedroomlczero: OpenCLrealsr-ncnn: 4x - Yesoctanebench: Total Scoreluxcorerender: Rainbow Colors and Prism - GPUmandelgpu: GPUviennacl: OpenCL BLAS - dAXPYluxcorerender: Orange Juice - GPUindigobench: OpenCL GPU - Supercarviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dCOPYfinancebench: Monte-Carlo OpenCLfahbench: realsr-ncnn: 4x - Noshoc: OpenCL - Texture Read Bandwidthdarktable: Boat - OpenCLviennacl: OpenCL BLAS - sAXPYwaifu2x-ncnn: 2x - 3 - Yescl-mem: Copyviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sDOTshoc: OpenCL - Reductiondarktable: Server Room - OpenCLviennacl: OpenCL BLAS - dGEMV-Tjuliagpu: GPUviennacl: OpenCL BLAS - dGEMM-TTviennacl: OpenCL BLAS - dGEMV-Ndarktable: Server Rack - OpenCLdarktable: Masskrug - OpenCLshoc: OpenCL - Triadrodinia: OpenCL Myocyteclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Kernel Latencyclpeak: Transfer Bandwidth enqueueWriteBuffervkpeak: fp32-vec4vkpeak: fp64-vec4vkpeak: fp64-scalarvkpeak: int16-vec4vkpeak: int32-scalarvkpeak: fp16-vec4vkpeak: int32-vec4vkpeak: int16-scalarvkpeak: fp32-scalarvkpeak: fp16-scalarshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbacksmallpt-gpu: GPU - Complexsmallpt-gpu: GPU - Cornellsmallpt-gpu: GPU - Caustic3RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti656.126045996018152.5544.223339615.22255543333328743333337131540000018125.5282017135141.282101.458.12112302510.1511.446.1973.655812.34817.72853429.7589.3102121745.320.9566867628.822691.42492630.78470569461.272310.4353.399656607321.849838351.70425.7482245.541.2064993.335364.2366371390.9200.719377368101296.76022390.1302.24125.481032.39313.524.7522.20436.41205.71180.05525.68263.7111.31520.21269.71186.3510.8426.310327.1060165751254616575126831657512826545.925035005016270.9637.522834065.31897826666724218500006016518333315428.9570891329623.781761.896.679638448.379.527.2804.269662.00672.62378338.19711.2651790642.917.6796337933.028577.14357426.64420816923.16299.0046.675602554388.347499328.38136.2612214.231.3004743.463354.7358371387.3560.743377362268066.45052410.1322.25225.304932.13313.334.7122.53432.13204.29178.82522.74262.1211.25517.93268.46185.9210.8326.313327.1081165793559616579357331657935877304.062932912923435.0421.529019429.8109741500001411433333352441571438369.3741630016000.79961.9054.055731334.955.7512.8786.952389.10392.71597211.72517.6801263383.611.5054209851.819386.82729118.28285236027.43996.2034.044399363463.722163243.22028.6202113.041.6723584.324296.9292327324.3920.813332331465943.82240.1412.30624.696831.66913.324.7222.43433.17204.99179.18523.56262.3511.29518.56268.98186.3310.8526.286827.1120165797376616579738991657974042622.735635595618056.3142.053537916.62133978333327232333336745588333317388.0479627533708.852014.787.9710690679.7011.006.5033.795794.04795.82758420.2279.5612062736.920.2586745130.085677.50375831.27449383091.870310.0651.837644592323.912837339.61185.8932166.811.2344913.394355.0358362382.7630.727367366866427.65622330.1322.23925.451132.58913.384.7622.46433.20204.36178.92522.46262.2311.26518.16268.39185.9810.8326.294527.1153165798713016579872641657987407213.282032032042768.2215.103013566.77735900000993200000248520666676368.8029325712581.21758.8442.974113333.734.3016.2227349.532315.39317.81141172.67223.164854302.78.5232864069.033295.1869813.64212133611.63274.9125.947329315619.041168186.070010.7731255.041.9983065.025270.1274288306.8480.900303305403296.12220.1412.38524.374632.64913.294.6522.33434.83205.34179.73525.24262.4611.31519.79269.04186.3910.8526.314127.1184165800137716580015101658001653361.503413393403796.8925.294623184.41294905000016629833334134693333310228.6049167520075.821133.354.816646335.736.6310.4365.886389.37392.91758218.09417.5751418379.712.9524551647.627419.27233620.38324407884.83956.9637.332401373463.697332272.26608.0812121.031.5823594.164294.8284326326.2270.794333343766836.72220.1362.29424.672731.93013.304.7222.52433.60205.17179.53524.74262.4911.30519.73268.97186.3610.8526.323227.1129165803126916580314031658031547370.163463443454711.3526.199923323.61321723333316971833334252823333310922.6850618821511.251291.184.897031006.057.009.7595.848529.32538.51952285.22313.5781505513.913.7685130241.668461.15247321.12329213346.45297.1438.992523479472.597834271.58717.3312077.761.4344353.856337.1332363379.4510.765369346928151.52370.1332.28025.074732.60413.654.6522.67432.94204.42178.91522.41262.3011.26517.47268.43185.7910.8326.300827.1091165806611916580662531658066396OpenBenchmarking.org

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: Double-Precision DoubleRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti140280420560700SE +/- 1.60, N = 3SE +/- 0.35, N = 3SE +/- 0.39, N = 3SE +/- 2.99, N = 3SE +/- 0.67, N = 3SE +/- 0.77, N = 3SE +/- 0.25, N = 3656.12545.92304.06622.73213.28361.50370.161. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti120240360480600Min: 652.93 / Avg: 656.12 / Max: 657.72Min: 545.35 / Avg: 545.92 / Max: 546.56Min: 303.62 / Avg: 304.06 / Max: 304.83Min: 617.68 / Avg: 622.73 / Max: 628.02Min: 211.94 / Avg: 213.28 / Max: 213.96Min: 360.72 / Avg: 361.5 / Max: 363.04Min: 369.84 / Avg: 370.16 / Max: 370.641. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ViennaCL

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

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650SE +/- 1.33, N = 3SE +/- 1.53, N = 3SE +/- 0.50, N = 2SE +/- 1.53, N = 3SE +/- 1.00, N = 2SE +/- 0.00, N = 26045032945662033423471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550Min: 601 / Avg: 603.67 / Max: 605Min: 501 / Avg: 503 / Max: 506Min: 293 / Avg: 293.5 / Max: 294Min: 564 / Avg: 566 / Max: 569Min: 341 / Avg: 342 / Max: 343Min: 347 / Avg: 347 / Max: 3471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650SE +/- 1.67, N = 3SE +/- 1.67, N = 3SE +/- 0.00, N = 2SE +/- 1.33, N = 3SE +/- 0.50, N = 2SE +/- 0.50, N = 2SE +/- 0.50, N = 25995002915622043403451. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550Min: 596 / Avg: 599.33 / Max: 601Min: 498 / Avg: 499.67 / Max: 503Min: 291 / Avg: 291 / Max: 291Min: 561 / Avg: 562.33 / Max: 565Min: 203 / Avg: 203.5 / Max: 204Min: 339 / Avg: 339.5 / Max: 340Min: 344 / Avg: 344.5 / Max: 3451. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650SE +/- 1.67, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 36015012925652043413461. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550Min: 598 / Avg: 601.33 / Max: 603Min: 500 / Avg: 501.33 / Max: 504Min: 292 / Avg: 292.33 / Max: 293Min: 563 / Avg: 565 / Max: 568Min: 204 / Avg: 204.33 / Max: 205Min: 340 / Avg: 341 / Max: 342Min: 345 / Avg: 345.67 / Max: 3461. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti2K4K6K8K10KSE +/- 21.61, N = 12SE +/- 13.25, N = 11SE +/- 4.08, N = 10SE +/- 41.59, N = 12SE +/- 5.08, N = 9SE +/- 16.06, N = 10SE +/- 8.40, N = 108152.556270.963435.048056.312768.223796.894711.351. (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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti14002800420056007000Min: 8032.5 / Avg: 8152.55 / Max: 8299.95Min: 6208.06 / Avg: 6270.96 / Max: 6343.97Min: 3420.88 / Avg: 3435.04 / Max: 3461.58Min: 7909.04 / Avg: 8056.31 / Max: 8323.64Min: 2750.94 / Avg: 2768.22 / Max: 2804.18Min: 3717.87 / Avg: 3796.89 / Max: 3873.13Min: 4675.13 / Avg: 4711.35 / Max: 4778.051. (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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1020304050SE +/- 0.05, N = 14SE +/- 0.03, N = 14SE +/- 0.01, N = 13SE +/- 0.04, N = 14SE +/- 0.01, N = 12SE +/- 0.01, N = 13SE +/- 0.01, N = 1544.2237.5221.5342.0515.1025.2926.201. (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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti918273645Min: 44.06 / Avg: 44.22 / Max: 44.69Min: 37.43 / Avg: 37.52 / Max: 37.71Min: 21.47 / Avg: 21.53 / Max: 21.64Min: 42 / Avg: 42.05 / Max: 42.45Min: 15.05 / Avg: 15.1 / Max: 15.14Min: 25.18 / Avg: 25.29 / Max: 25.33Min: 26.11 / Avg: 26.2 / Max: 26.231. (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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti8K16K24K32K40KSE +/- 136.53, N = 3SE +/- 200.43, N = 3SE +/- 26.67, N = 3SE +/- 191.65, N = 3SE +/- 30.73, N = 3SE +/- 31.48, N = 3SE +/- 61.13, N = 339615.234065.319429.837916.613566.723184.423323.61. (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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti7K14K21K28K35KMin: 39424.4 / Avg: 39615.23 / Max: 39879.8Min: 33749.3 / Avg: 34065.33 / Max: 34436.9Min: 19383.4 / Avg: 19429.77 / Max: 19475.8Min: 37661.5 / Avg: 37916.6 / Max: 38291.9Min: 13535.9 / Avg: 13566.73 / Max: 13628.2Min: 23151.6 / Avg: 23184.37 / Max: 23247.3Min: 23262.1 / Avg: 23323.63 / Max: 23445.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

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

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti5000M10000M15000M20000M25000MSE +/- 15969338.68, N = 6SE +/- 11254589.19, N = 6SE +/- 11825192.04, N = 6SE +/- 29607931.56, N = 6SE +/- 8981573.73, N = 6SE +/- 7193225.98, N = 6SE +/- 18212096.10, N = 62255543333318978266667109741500002133978333377359000001294905000013217233333
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4000M8000M12000M16000M20000MMin: 22507100000 / Avg: 22555433333.33 / Max: 22610500000Min: 18954200000 / Avg: 18978266666.67 / Max: 19028900000Min: 10945000000 / Avg: 10974150000 / Max: 11025600000Min: 21222800000 / Avg: 21339783333.33 / Max: 21409300000Min: 7711900000 / Avg: 7735900000 / Max: 7759300000Min: 12928900000 / Avg: 12949050000 / Max: 12976300000Min: 13152500000 / Avg: 13217233333.33 / Max: 13251600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti600M1200M1800M2400M3000MSE +/- 2053885.21, N = 6SE +/- 2677156.45, N = 6SE +/- 704114.89, N = 6SE +/- 3496823.96, N = 6SE +/- 493288.29, N = 6SE +/- 3141169.28, N = 6SE +/- 2413906.47, N = 6287433333324218500001411433333272323333399320000016629833331697183333
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti500M1000M1500M2000M2500MMin: 2868600000 / Avg: 2874333333.33 / Max: 2882900000Min: 2414900000 / Avg: 2421850000 / Max: 2431400000Min: 1410100000 / Avg: 1411433333.33 / Max: 1414800000Min: 2712400000 / Avg: 2723233333.33 / Max: 2733900000Min: 991800000 / Avg: 993200000 / Max: 994700000Min: 1649700000 / Avg: 1662983333.33 / Max: 1670800000Min: 1690700000 / Avg: 1697183333.33 / Max: 1703500000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti15000M30000M45000M60000M75000MSE +/- 40483041.72, N = 6SE +/- 64657159.52, N = 6SE +/- 28489169.68, N = 7SE +/- 75640859.40, N = 6SE +/- 13467161.71, N = 6SE +/- 35442607.75, N = 6SE +/- 33659002.43, N = 671315400000601651833333524415714367455883333248520666674134693333342528233333
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti12000M24000M36000M48000M60000MMin: 71148100000 / Avg: 71315400000 / Max: 71442100000Min: 60026000000 / Avg: 60165183333.33 / Max: 60430500000Min: 35147800000 / Avg: 35244157142.86 / Max: 35335500000Min: 67237900000 / Avg: 67455883333.33 / Max: 67720200000Min: 24831200000 / Avg: 24852066666.67 / Max: 24914600000Min: 41270900000 / Avg: 41346933333.33 / Max: 41483800000Min: 42432000000 / Avg: 42528233333.33 / Max: 42622000000

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4K8K12K16K20KSE +/- 113.39, N = 12SE +/- 110.93, N = 15SE +/- 79.68, N = 15SE +/- 122.95, N = 12SE +/- 13.59, N = 13SE +/- 42.79, N = 13SE +/- 41.03, N = 1318125.5215428.958369.3717388.046368.8010228.6010922.681. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3K6K9K12K15KMin: 17659.4 / Avg: 18125.52 / Max: 18782.48Min: 14802.1 / Avg: 15428.95 / Max: 16005.22Min: 8036.33 / Avg: 8369.37 / Max: 8918.32Min: 16912.37 / Avg: 17388.04 / Max: 18157.9Min: 6317.02 / Avg: 6368.8 / Max: 6459.33Min: 10066.82 / Avg: 10228.6 / Max: 10459.27Min: 10792.62 / Avg: 10922.68 / Max: 11235.41. (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: TrueCrypt RIPEMD160 + XTSRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti200K400K600K800K1000KSE +/- 2556.01, N = 7SE +/- 722.70, N = 8SE +/- 1561.02, N = 8SE +/- 2462.70, N = 8SE +/- 2490.54, N = 7SE +/- 2213.90, N = 8SE +/- 982.06, N = 8820171708913416300796275293257491675506188
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti140K280K420K560K700KMin: 808900 / Avg: 820171.43 / Max: 825700Min: 707000 / Avg: 708912.5 / Max: 713000Min: 408800 / Avg: 416300 / Max: 421200Min: 784300 / Avg: 796275 / Max: 806500Min: 280800 / Avg: 293257.14 / Max: 299200Min: 479900 / Avg: 491675 / Max: 495600Min: 499800 / Avg: 506187.5 / Max: 509400

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti8K16K24K32K40KSE +/- 38.81, N = 14SE +/- 78.19, N = 13SE +/- 12.46, N = 14SE +/- 28.97, N = 14SE +/- 9.33, N = 14SE +/- 13.72, N = 15SE +/- 12.39, N = 1535141.2829623.7816000.7933708.8512581.2120075.8221511.251. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti6K12K18K24K30KMin: 34853.79 / Avg: 35141.28 / Max: 35388.05Min: 29403.53 / Avg: 29623.78 / Max: 30217.88Min: 15911.71 / Avg: 16000.79 / Max: 16067.59Min: 33522.24 / Avg: 33708.85 / Max: 33904.57Min: 12488.7 / Avg: 12581.21 / Max: 12603.99Min: 19891.4 / Avg: 20075.82 / Max: 20106.35Min: 21340.79 / Avg: 21511.25 / Max: 21530.011. (CXX) g++ options: -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti5001000150020002500SE +/- 0.14, N = 13SE +/- 0.11, N = 13SE +/- 0.04, N = 12SE +/- 0.11, N = 13SE +/- 0.18, N = 12SE +/- 0.83, N = 13SE +/- 0.04, N = 132101.451761.89961.912014.78758.841133.351291.181. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400800120016002000Min: 2100.7 / Avg: 2101.45 / Max: 2102.29Min: 1761.39 / Avg: 1761.89 / Max: 1762.58Min: 961.64 / Avg: 961.9 / Max: 962.13Min: 2014.25 / Avg: 2014.78 / Max: 2015.54Min: 757.52 / Avg: 758.84 / Max: 759.4Min: 1127.66 / Avg: 1133.35 / Max: 1136.9Min: 1291 / Avg: 1291.18 / Max: 1291.561. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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: Danish Mood - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810SE +/- 0.08, N = 6SE +/- 0.08, N = 4SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 4SE +/- 0.06, N = 3SE +/- 0.01, N = 38.126.674.057.972.974.814.89MIN: 1.69 / MAX: 10.34MIN: 1.29 / MAX: 8.52MIN: 1.18 / MAX: 5.06MIN: 1.8 / MAX: 10.01MIN: 0.94 / MAX: 3.68MIN: 1.12 / MAX: 6.01MIN: 1.07 / MAX: 6.21
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 7.94 / Avg: 8.12 / Max: 8.39Min: 6.52 / Avg: 6.67 / Max: 6.86Min: 3.99 / Avg: 4.05 / Max: 4.09Min: 7.82 / Avg: 7.97 / Max: 8.1Min: 2.9 / Avg: 2.97 / Max: 3.05Min: 4.7 / Avg: 4.81 / Max: 4.87Min: 4.88 / Avg: 4.89 / Max: 4.91

Hashcat

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

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti200K400K600K800K1000KSE +/- 480.98, N = 8SE +/- 2098.29, N = 9SE +/- 923.46, N = 9SE +/- 463.08, N = 9SE +/- 486.77, N = 9SE +/- 294.39, N = 9SE +/- 1169.52, N = 911230259638445731331069067411333664633703100
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti200K400K600K800K1000KMin: 1120200 / Avg: 1123025 / Max: 1124600Min: 947600 / Avg: 963844.44 / Max: 967900Min: 566000 / Avg: 573133.33 / Max: 574800Min: 1067100 / Avg: 1069066.67 / Max: 1070400Min: 408100 / Avg: 411333.33 / Max: 412900Min: 663500 / Avg: 664633.33 / Max: 665900Min: 694600 / Avg: 703100 / Max: 705700

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: LuxCore Benchmark - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 310.158.374.959.703.735.736.05MIN: 2.67 / MAX: 12.58MIN: 2.34 / MAX: 10.37MIN: 1.35 / MAX: 6.1MIN: 2.67 / MAX: 12.01MIN: 1.09 / MAX: 4.57MIN: 1.49 / MAX: 7.09MIN: 1.49 / MAX: 7.45
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 10.07 / Avg: 10.15 / Max: 10.2Min: 8.36 / Avg: 8.37 / Max: 8.39Min: 4.95 / Avg: 4.95 / Max: 4.96Min: 9.67 / Avg: 9.7 / Max: 9.74Min: 3.71 / Avg: 3.73 / Max: 3.75Min: 5.71 / Avg: 5.73 / Max: 5.76Min: 6.03 / Avg: 6.05 / Max: 6.09

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 311.449.525.7511.004.306.637.00MIN: 9.35 / MAX: 11.78MIN: 9.11 / MAX: 9.69MIN: 5.62 / MAX: 5.95MIN: 10.28 / MAX: 11.23MIN: 4.18 / MAX: 4.53MIN: 6.25 / MAX: 6.91MIN: 6.86 / MAX: 7.14
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 11.41 / Avg: 11.44 / Max: 11.48Min: 9.51 / Avg: 9.52 / Max: 9.53Min: 5.74 / Avg: 5.75 / Max: 5.76Min: 10.97 / Avg: 11 / Max: 11.04Min: 4.27 / Avg: 4.3 / Max: 4.31Min: 6.62 / Avg: 6.63 / Max: 6.65Min: 6.99 / Avg: 7 / Max: 7

FinanceBench

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

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti48121620SE +/- 0.006061, N = 14SE +/- 0.008151, N = 14SE +/- 0.010411, N = 14SE +/- 0.060047, N = 15SE +/- 0.020358, N = 15SE +/- 0.038011, N = 14SE +/- 0.022159, N = 156.1970007.28000012.8780006.50300016.22273410.4360009.7590001. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti48121620Min: 6.18 / Avg: 6.2 / Max: 6.25Min: 7.26 / Avg: 7.28 / Max: 7.36Min: 12.86 / Avg: 12.88 / Max: 12.99Min: 6.41 / Avg: 6.5 / Max: 7.23Min: 16.19 / Avg: 16.22 / Max: 16.5Min: 10.37 / Avg: 10.44 / Max: 10.82Min: 9.73 / Avg: 9.76 / Max: 10.061. (CXX) g++ options: -O3 -march=native -fopenmp

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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.019, N = 9SE +/- 0.006, N = 8SE +/- 0.011, N = 6SE +/- 0.003, N = 8SE +/- 0.020, N = 5SE +/- 0.007, N = 7SE +/- 0.008, N = 73.6554.2696.9523.7959.5325.8865.8481. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 3.58 / Avg: 3.65 / Max: 3.79Min: 4.25 / Avg: 4.27 / Max: 4.29Min: 6.92 / Avg: 6.95 / Max: 6.99Min: 3.78 / Avg: 3.8 / Max: 3.81Min: 9.46 / Avg: 9.53 / Max: 9.56Min: 5.87 / Avg: 5.89 / Max: 5.92Min: 5.83 / Avg: 5.85 / Max: 5.881. (CXX) g++ options: -O2 -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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti2004006008001000SE +/- 0.82, N = 14SE +/- 0.20, N = 15SE +/- 0.01, N = 13SE +/- 0.40, N = 13SE +/- 0.03, N = 15SE +/- 0.14, N = 15SE +/- 0.01, N = 13812.34662.00389.10794.04315.39389.37529.321. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti140280420560700Min: 804.28 / Avg: 812.34 / Max: 813.59Min: 659.26 / Avg: 662 / Max: 662.37Min: 389.07 / Avg: 389.1 / Max: 389.15Min: 790.69 / Avg: 794.04 / Max: 794.91Min: 314.91 / Avg: 315.39 / Max: 315.45Min: 387.38 / Avg: 389.37 / Max: 389.57Min: 529.28 / Avg: 529.32 / Max: 529.391. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti2004006008001000SE +/- 0.15, N = 10SE +/- 0.12, N = 9SE +/- 0.15, N = 8SE +/- 0.13, N = 9SE +/- 0.05, N = 7SE +/- 0.12, N = 8SE +/- 0.07, N = 9817.7672.6392.7795.8317.8392.9538.51. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti140280420560700Min: 817.2 / Avg: 817.67 / Max: 818.7Min: 671.8 / Avg: 672.61 / Max: 673Min: 392.4 / Avg: 392.74 / Max: 393.6Min: 795.1 / Avg: 795.78 / Max: 796.5Min: 317.7 / Avg: 317.84 / Max: 318Min: 392.6 / Avg: 392.93 / Max: 393.7Min: 538.2 / Avg: 538.46 / Max: 538.71. (CC) gcc options: -O2 -flto -lOpenCL

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA RTX GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti6001200180024003000SE +/- 4.91, N = 3SE +/- 4.81, N = 3SE +/- 1.33, N = 3SE +/- 4.26, N = 3SE +/- 1.45, N = 3SE +/- 1.00, N = 3SE +/- 2.60, N = 32853237815972758114117581952
OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA RTX GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti5001000150020002500Min: 2843 / Avg: 2852.67 / Max: 2859Min: 2369 / Avg: 2378.33 / Max: 2385Min: 1596 / Avg: 1597.33 / Max: 1600Min: 2752 / Avg: 2757.67 / Max: 2766Min: 1139 / Avg: 1141.33 / Max: 1144Min: 1756 / Avg: 1758 / Max: 1759Min: 1947 / Avg: 1951.67 / Max: 1956

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti90180270360450SE +/- 0.20, N = 12SE +/- 0.20, N = 13SE +/- 0.04, N = 13SE +/- 0.11, N = 13SE +/- 0.03, N = 13SE +/- 0.10, N = 13SE +/- 0.13, N = 13429.76338.20211.73420.23172.67218.09285.221. (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: S3DRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400Min: 428.42 / Avg: 429.76 / Max: 430.94Min: 337.11 / Avg: 338.2 / Max: 339.3Min: 211.51 / Avg: 211.72 / Max: 211.97Min: 419.44 / Avg: 420.23 / Max: 420.79Min: 172.5 / Avg: 172.67 / Max: 172.83Min: 217.65 / Avg: 218.09 / Max: 219.02Min: 284.49 / Avg: 285.22 / Max: 285.81. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430SE +/- 0.012, N = 5SE +/- 0.007, N = 5SE +/- 0.011, N = 5SE +/- 0.007, N = 5SE +/- 0.011, N = 5SE +/- 0.004, N = 5SE +/- 0.005, N = 59.31011.26517.6809.56123.16417.57513.5781. (CXX) g++ options: -O3
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti510152025Min: 9.28 / Avg: 9.31 / Max: 9.34Min: 11.25 / Avg: 11.27 / Max: 11.29Min: 17.65 / Avg: 17.68 / Max: 17.71Min: 9.54 / Avg: 9.56 / Max: 9.58Min: 23.14 / Avg: 23.16 / Max: 23.21Min: 17.57 / Avg: 17.58 / Max: 17.59Min: 13.57 / Avg: 13.58 / Max: 13.591. (CXX) g++ options: -O3

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA CUDA GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti5001000150020002500SE +/- 3.06, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3212117901263206285414181505
OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5.02Mode: NVIDIA CUDA GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400800120016002000Min: 2117 / Avg: 2121 / Max: 2127Min: 1790 / Avg: 1790 / Max: 1790Min: 1262 / Avg: 1263.33 / Max: 1264Min: 2060 / Avg: 2061.67 / Max: 2064Min: 853 / Avg: 853.67 / Max: 854Min: 1418 / Avg: 1418.33 / Max: 1419Min: 1504 / Avg: 1504.67 / Max: 1505

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: WriteRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti160320480640800SE +/- 0.24, N = 10SE +/- 0.17, N = 9SE +/- 0.03, N = 8SE +/- 0.29, N = 9SE +/- 0.04, N = 7SE +/- 0.08, N = 8SE +/- 0.14, N = 9745.3642.9383.6736.9302.7379.7513.91. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650Min: 744.1 / Avg: 745.31 / Max: 746.6Min: 642.2 / Avg: 642.88 / Max: 643.7Min: 383.4 / Avg: 383.6 / Max: 383.7Min: 735.6 / Avg: 736.94 / Max: 738Min: 302.6 / Avg: 302.73 / Max: 302.9Min: 379.3 / Avg: 379.71 / Max: 379.9Min: 513.2 / Avg: 513.87 / Max: 514.41. (CC) gcc options: -O2 -flto -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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti510152025SE +/- 0.033, N = 3SE +/- 0.019, N = 3SE +/- 0.014, N = 3SE +/- 0.042, N = 3SE +/- 0.010, N = 3SE +/- 0.027, N = 3SE +/- 0.009, N = 320.95617.67911.50520.2588.52312.95213.768
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti510152025Min: 20.92 / Avg: 20.96 / Max: 21.02Min: 17.66 / Avg: 17.68 / Max: 17.72Min: 11.48 / Avg: 11.5 / Max: 11.53Min: 20.18 / Avg: 20.26 / Max: 20.33Min: 8.5 / Avg: 8.52 / Max: 8.54Min: 12.92 / Avg: 12.95 / Max: 13.01Min: 13.76 / Avg: 13.77 / Max: 13.79

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti15K30K45K60K75KSE +/- 461.39, N = 3SE +/- 173.33, N = 3SE +/- 504.73, N = 3SE +/- 567.42, N = 3SE +/- 134.62, N = 3SE +/- 346.36, N = 3SE +/- 245.06, N = 3686766337942098674512864045516513021. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti12K24K36K48K60KMin: 68031 / Avg: 68676 / Max: 69570Min: 63099 / Avg: 63379 / Max: 63696Min: 41121 / Avg: 42097.67 / Max: 42807Min: 66322 / Avg: 67451 / Max: 68115Min: 28383 / Avg: 28640 / Max: 28838Min: 45071 / Avg: 45515.67 / Max: 46198Min: 50854 / Avg: 51302.33 / Max: 516981. (CXX) g++ options: -flto -pthread

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: YesRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1530456075SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 328.8233.0351.8230.0969.0347.6341.67
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1326395265Min: 28.79 / Avg: 28.82 / Max: 28.89Min: 32.82 / Avg: 33.03 / Max: 33.17Min: 51.59 / Avg: 51.82 / Max: 51.97Min: 29.9 / Avg: 30.09 / Max: 30.25Min: 68.88 / Avg: 69.03 / Max: 69.13Min: 47.5 / Avg: 47.63 / Max: 47.7Min: 41.44 / Avg: 41.67 / Max: 41.83

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti150300450600750691.42577.14386.83677.50295.19419.27461.15

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti714212835SE +/- 0.16, N = 6SE +/- 0.14, N = 6SE +/- 0.05, N = 5SE +/- 0.18, N = 6SE +/- 0.08, N = 4SE +/- 0.20, N = 6SE +/- 0.08, N = 530.7826.6418.2831.2713.6420.3821.12MIN: 28.56 / MAX: 34.37MIN: 24.31 / MAX: 29.16MIN: 16.54 / MAX: 19.47MIN: 28.18 / MAX: 33.72MIN: 12 / MAX: 14.49MIN: 19.05 / MAX: 21.89MIN: 19.82 / MAX: 22.81
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti714212835Min: 30.53 / Avg: 30.78 / Max: 31.4Min: 26 / Avg: 26.64 / Max: 26.92Min: 18.14 / Avg: 18.28 / Max: 18.43Min: 30.35 / Avg: 31.27 / Max: 31.46Min: 13.41 / Avg: 13.64 / Max: 13.77Min: 19.42 / Avg: 20.38 / Max: 20.78Min: 20.85 / Avg: 21.12 / Max: 21.3

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti100M200M300M400M500MSE +/- 1125013.79, N = 10SE +/- 443784.10, N = 10SE +/- 409555.49, N = 8SE +/- 735254.80, N = 10SE +/- 316579.92, N = 7SE +/- 617743.30, N = 9SE +/- 303349.87, N = 9470569461.2420816923.1285236027.4449383091.8212133611.6324407884.8329213346.41. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80M160M240M320M400MMin: 466884017.8 / Avg: 470569461.17 / Max: 478278437.7Min: 418499070 / Avg: 420816923.12 / Max: 422380258.4Min: 283509997.6 / Avg: 285236027.36 / Max: 287024756.1Min: 446199714.6 / Avg: 449383091.83 / Max: 452520291.6Min: 211189072.8 / Avg: 212133611.59 / Max: 213769942.4Min: 321507729.2 / Avg: 324407884.77 / Max: 327808618.4Min: 327602709.6 / Avg: 329213346.38 / Max: 330679101.71. (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 - dAXPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti160320480640800SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 37236293997053273955281. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650Min: 722 / Avg: 722.67 / Max: 723Min: 628 / Avg: 629 / Max: 630Min: 399 / Avg: 399 / Max: 399Min: 704 / Avg: 704.67 / Max: 706Min: 327 / Avg: 327 / Max: 327Min: 395 / Avg: 395 / Max: 395Min: 528 / Avg: 528.33 / Max: 5291. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti2K4K6K8K10K9095.118080.765303.578319.194220.875793.406192.01

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: Orange Juice - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 310.439.006.2010.064.916.967.14MIN: 8.51 / MAX: 13.71MIN: 7.24 / MAX: 11.5MIN: 5.02 / MAX: 7.26MIN: 8.14 / MAX: 13.08MIN: 3.98 / MAX: 5.9MIN: 5.61 / MAX: 8.4MIN: 5.74 / MAX: 8.73
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 10.4 / Avg: 10.43 / Max: 10.46Min: 8.96 / Avg: 9 / Max: 9.03Min: 6.18 / Avg: 6.2 / Max: 6.22Min: 10.04 / Avg: 10.06 / Max: 10.08Min: 4.87 / Avg: 4.91 / Max: 4.96Min: 6.92 / Avg: 6.96 / Max: 7.03Min: 7.11 / Avg: 7.14 / Max: 7.19

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: SupercarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 353.4046.6834.0451.8425.9537.3338.99
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1122334455Min: 53.35 / Avg: 53.4 / Max: 53.45Min: 46.66 / Avg: 46.67 / Max: 46.69Min: 34.02 / Avg: 34.04 / Max: 34.06Min: 51.8 / Avg: 51.84 / Max: 51.89Min: 25.93 / Avg: 25.95 / Max: 25.96Min: 37.33 / Avg: 37.33 / Max: 37.34Min: 38.99 / Avg: 38.99 / Max: 39

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 - dDOTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti140280420560700SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 36566023976473293985191. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti120240360480600Min: 656 / Avg: 656 / Max: 656Min: 602 / Avg: 602.33 / Max: 603Min: 397 / Avg: 397 / Max: 397Min: 646 / Avg: 647 / Max: 649Min: 329 / Avg: 329 / Max: 329Min: 398 / Avg: 398 / Max: 398Min: 519 / Avg: 519.33 / Max: 5201. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 36075543515943153684641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550Min: 606 / Avg: 607 / Max: 608Min: 554 / Avg: 554.33 / Max: 555Min: 351 / Avg: 351 / Max: 351Min: 593 / Avg: 593.67 / Max: 595Min: 315 / Avg: 315 / Max: 315Min: 368 / Avg: 368 / Max: 368Min: 463 / Avg: 463.67 / Max: 4641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

FinanceBench

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

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Monte-Carlo OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti130260390520650SE +/- 0.87, N = 6SE +/- 0.59, N = 6SE +/- 1.02, N = 6SE +/- 0.56, N = 6SE +/- 0.40, N = 6SE +/- 0.21, N = 6SE +/- 0.42, N = 6321.85388.35463.72323.91619.04463.70472.601. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Monte-Carlo OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550Min: 319.32 / Avg: 321.85 / Max: 324.48Min: 386.89 / Avg: 388.35 / Max: 391.07Min: 461.63 / Avg: 463.72 / Max: 467.52Min: 321.7 / Avg: 323.91 / Max: 325.31Min: 617.55 / Avg: 619.04 / Max: 620.02Min: 463.02 / Avg: 463.7 / Max: 464.33Min: 471.46 / Avg: 472.6 / Max: 474.111. (CXX) g++ options: -O3 -march=native -fopenmp

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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 0.12, N = 3SE +/- 0.37, N = 3SE +/- 0.10, N = 3SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3351.70328.38243.22339.61186.07272.27271.59
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti60120180240300Min: 351.52 / Avg: 351.7 / Max: 351.93Min: 327.65 / Avg: 328.38 / Max: 328.79Min: 243.02 / Avg: 243.22 / Max: 243.32Min: 339.24 / Avg: 339.61 / Max: 340.32Min: 186.05 / Avg: 186.07 / Max: 186.12Min: 271.8 / Avg: 272.27 / Max: 272.61Min: 271.09 / Avg: 271.59 / Max: 271.97

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.006, N = 7SE +/- 0.005, N = 7SE +/- 0.009, N = 5SE +/- 0.007, N = 7SE +/- 0.017, N = 5SE +/- 0.008, N = 6SE +/- 0.017, N = 65.7486.2618.6205.89310.7738.0817.331
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 5.72 / Avg: 5.75 / Max: 5.77Min: 6.24 / Avg: 6.26 / Max: 6.27Min: 8.6 / Avg: 8.62 / Max: 8.65Min: 5.87 / Avg: 5.89 / Max: 5.92Min: 10.72 / Avg: 10.77 / Max: 10.82Min: 8.05 / Avg: 8.08 / Max: 8.11Min: 7.3 / Avg: 7.33 / Max: 7.41

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti5001000150020002500SE +/- 0.41, N = 3SE +/- 5.63, N = 3SE +/- 8.25, N = 4SE +/- 5.69, N = 3SE +/- 2.15, N = 4SE +/- 7.65, N = 4SE +/- 1.88, N = 42245.542214.232113.042166.811255.042121.032077.761. (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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400800120016002000Min: 2244.76 / Avg: 2245.54 / Max: 2246.17Min: 2207.8 / Avg: 2214.23 / Max: 2225.44Min: 2099.8 / Avg: 2113.04 / Max: 2136.74Min: 2161.12 / Avg: 2166.81 / Max: 2178.18Min: 1248.73 / Avg: 1255.04 / Max: 1258.15Min: 2106.68 / Avg: 2121.03 / Max: 2138.05Min: 2075.02 / Avg: 2077.76 / Max: 2083.261. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti0.44960.89921.34881.79842.248SE +/- 0.002, N = 10SE +/- 0.005, N = 11SE +/- 0.005, N = 10SE +/- 0.006, N = 11SE +/- 0.003, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 111.2061.3001.6721.2341.9981.5821.434
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810Min: 1.19 / Avg: 1.21 / Max: 1.22Min: 1.28 / Avg: 1.3 / Max: 1.34Min: 1.66 / Avg: 1.67 / Max: 1.71Min: 1.21 / Avg: 1.23 / Max: 1.26Min: 1.99 / Avg: 2 / Max: 2.01Min: 1.57 / Avg: 1.58 / Max: 1.6Min: 1.42 / Avg: 1.43 / Max: 1.46

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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 34994743594923063594361. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti90180270360450Min: 499 / Avg: 499.33 / Max: 500Min: 474 / Avg: 474.33 / Max: 475Min: 359 / Avg: 359 / Max: 359Min: 491 / Avg: 491.67 / Max: 493Min: 306 / Avg: 306 / Max: 306Min: 359 / Avg: 359 / Max: 359Min: 435 / Avg: 435.67 / Max: 4361. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1.13062.26123.39184.52245.653SE +/- 0.003, N = 9SE +/- 0.004, N = 9SE +/- 0.003, N = 8SE +/- 0.003, N = 9SE +/- 0.007, N = 7SE +/- 0.003, N = 8SE +/- 0.004, N = 83.3353.4634.3243.3945.0254.1643.856
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810Min: 3.32 / Avg: 3.33 / Max: 3.35Min: 3.45 / Avg: 3.46 / Max: 3.49Min: 4.31 / Avg: 4.32 / Max: 4.34Min: 3.38 / Avg: 3.39 / Max: 3.41Min: 5.01 / Avg: 5.02 / Max: 5.06Min: 4.15 / Avg: 4.16 / Max: 4.17Min: 3.84 / Avg: 3.86 / Max: 3.87

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 0.06, N = 10SE +/- 0.15, N = 9SE +/- 0.25, N = 8SE +/- 0.08, N = 9SE +/- 0.09, N = 7SE +/- 0.11, N = 8SE +/- 0.15, N = 9364.2354.7296.9355.0270.1294.8337.11. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti70140210280350Min: 364 / Avg: 364.22 / Max: 364.6Min: 354.3 / Avg: 354.7 / Max: 355.4Min: 295.8 / Avg: 296.93 / Max: 297.8Min: 354.7 / Avg: 354.96 / Max: 355.5Min: 269.8 / Avg: 270.14 / Max: 270.5Min: 294.2 / Avg: 294.8 / Max: 295.2Min: 336.3 / Avg: 337.11 / Max: 337.81. (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 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 33663582883602762843351. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti70140210280350Min: 366 / Avg: 366 / Max: 366Min: 357 / Avg: 357.67 / Max: 358Min: 287 / Avg: 287.67 / Max: 289Min: 359 / Avg: 360 / Max: 361Min: 276 / Avg: 276 / Max: 276Min: 284 / Avg: 284.33 / Max: 285Min: 335 / Avg: 335.33 / Max: 3361. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 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 = 33713713273612933223631. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti70140210280350Min: 370 / Avg: 370.67 / Max: 371Min: 371 / Avg: 371.33 / Max: 372Min: 326 / Avg: 326.67 / Max: 327Min: 361 / Avg: 361.33 / Max: 362Min: 292 / Avg: 292.67 / Max: 293Min: 322 / Avg: 322.33 / Max: 323Min: 363 / Avg: 363.33 / Max: 3641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 0.04, N = 13SE +/- 0.10, N = 13SE +/- 0.46, N = 12SE +/- 0.20, N = 13SE +/- 0.14, N = 12SE +/- 0.23, N = 12SE +/- 0.20, N = 12390.92387.36324.39382.76306.85326.23379.451. (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: ReductionRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti70140210280350Min: 390.57 / Avg: 390.92 / Max: 391.21Min: 386.79 / Avg: 387.36 / Max: 388Min: 321.93 / Avg: 324.39 / Max: 326.71Min: 380.95 / Avg: 382.76 / Max: 383.32Min: 306.19 / Avg: 306.85 / Max: 307.63Min: 324.92 / Avg: 326.23 / Max: 327.79Min: 378.58 / Avg: 379.45 / Max: 380.851. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

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: Server Room - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti0.20250.4050.60750.811.0125SE +/- 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 = 110.7190.7430.8130.7270.9000.7940.765
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810Min: 0.71 / Avg: 0.72 / Max: 0.72Min: 0.74 / Avg: 0.74 / Max: 0.75Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 0.72 / Avg: 0.73 / Max: 0.73Min: 0.9 / Avg: 0.9 / Max: 0.91Min: 0.79 / Avg: 0.79 / Max: 0.8Min: 0.76 / Avg: 0.76 / Max: 0.77

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 - dGEMV-TRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 33773773323693033343691. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti70140210280350Min: 376 / Avg: 376.67 / Max: 377Min: 376 / Avg: 376.67 / Max: 378Min: 332 / Avg: 332.33 / Max: 333Min: 368 / Avg: 368.67 / Max: 370Min: 303 / Avg: 303 / Max: 303Min: 334 / Avg: 334 / Max: 334Min: 369 / Avg: 369.33 / Max: 3701. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80M160M240M320M400MSE +/- 974048.68, N = 8SE +/- 1966974.36, N = 8SE +/- 1475666.08, N = 7SE +/- 1031833.35, N = 8SE +/- 727588.65, N = 7SE +/- 948671.39, N = 7SE +/- 1517808.00, N = 7368101296.7362268066.4331465943.8366866427.6305403296.1343766836.7346928151.51. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm
OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPURTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti60M120M180M240M300MMin: 362768300 / Avg: 368101296.74 / Max: 371534820.7Min: 355973137 / Avg: 362268066.38 / Max: 372917522Min: 327649833 / Avg: 331465943.79 / Max: 339806153.8Min: 363471977.6 / Avg: 366866427.56 / Max: 373003066.6Min: 303375169.6 / Avg: 305403296.14 / Max: 308508646.2Min: 338725144.5 / Avg: 343766836.7 / Max: 346478390Min: 342082894 / Avg: 346928151.46 / Max: 351525845.11. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

ViennaCL

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

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090RTX 3080RTX 3080 Ti130260390520650SE +/- 2.00, N = 2SE +/- 2.50, N = 26025055621. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3090RTX 3080RTX 3080 Ti110220330440550Min: 600 / Avg: 602 / Max: 604Min: 559 / Avg: 561.5 / Max: 5641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti50100150200250SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 32392412242342222222371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4080120160200Min: 238 / Avg: 239.33 / Max: 240Min: 241 / Avg: 241.33 / Max: 242Min: 224 / Avg: 224.33 / Max: 225Min: 234 / Avg: 234.33 / Max: 235Min: 222 / Avg: 222 / Max: 222Min: 222 / Avg: 222 / Max: 222Min: 237 / Avg: 237.33 / Max: 2381. (CXX) g++ options: -fopenmp -O3 -rdynamic -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: Server Rack - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti0.03170.06340.09510.12680.1585SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 130.1300.1320.1410.1320.1410.1360.133
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.13 / Avg: 0.13 / Max: 0.14

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti0.53661.07321.60982.14642.683SE +/- 0.004, N = 9SE +/- 0.004, N = 9SE +/- 0.006, N = 9SE +/- 0.005, N = 9SE +/- 0.004, N = 9SE +/- 0.007, N = 9SE +/- 0.006, N = 92.2412.2522.3062.2392.3852.2942.280
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: OpenCLRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810Min: 2.22 / Avg: 2.24 / Max: 2.27Min: 2.24 / Avg: 2.25 / Max: 2.28Min: 2.27 / Avg: 2.31 / Max: 2.33Min: 2.22 / Avg: 2.24 / Max: 2.26Min: 2.37 / Avg: 2.39 / Max: 2.4Min: 2.27 / Avg: 2.29 / Max: 2.33Min: 2.25 / Avg: 2.28 / Max: 2.31

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430SE +/- 0.01, N = 12SE +/- 0.01, N = 12SE +/- 0.00, N = 11SE +/- 0.00, N = 12SE +/- 0.01, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 1225.4825.3024.7025.4524.3724.6725.071. (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: TriadRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430Min: 25.45 / Avg: 25.48 / Max: 25.5Min: 25.27 / Avg: 25.3 / Max: 25.36Min: 24.68 / Avg: 24.7 / Max: 24.72Min: 25.43 / Avg: 25.45 / Max: 25.46Min: 24.34 / Avg: 24.37 / Max: 24.4Min: 24.66 / Avg: 24.67 / Max: 24.69Min: 25.06 / Avg: 25.07 / Max: 25.091. (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 MyocyteRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti816243240SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 332.3932.1331.6732.5932.6531.9332.601. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti714212835Min: 32.06 / Avg: 32.39 / Max: 32.97Min: 32.1 / Avg: 32.13 / Max: 32.16Min: 31.62 / Avg: 31.67 / Max: 31.74Min: 32.46 / Avg: 32.59 / Max: 32.7Min: 32.6 / Avg: 32.65 / Max: 32.7Min: 31.82 / Avg: 31.93 / Max: 32.02Min: 32.48 / Avg: 32.6 / Max: 32.671. (CXX) g++ options: -O2 -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: Transfer Bandwidth enqueueReadBufferRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti48121620SE +/- 0.14, N = 15SE +/- 0.05, N = 4SE +/- 0.12, N = 7SE +/- 0.13, N = 6SE +/- 0.12, N = 4SE +/- 0.07, N = 6SE +/- 0.11, N = 1513.5213.3313.3213.3813.2913.3013.651. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti48121620Min: 12.65 / Avg: 13.52 / Max: 14.13Min: 13.21 / Avg: 13.33 / Max: 13.42Min: 12.71 / Avg: 13.32 / Max: 13.64Min: 13.18 / Avg: 13.38 / Max: 14.04Min: 12.95 / Avg: 13.29 / Max: 13.5Min: 13.04 / Avg: 13.3 / Max: 13.51Min: 12.79 / Avg: 13.65 / Max: 14.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti1.0712.1423.2134.2845.355SE +/- 0.01, N = 14SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 154.754.714.724.764.654.724.651. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti246810Min: 4.71 / Avg: 4.75 / Max: 4.79Min: 4.68 / Avg: 4.71 / Max: 4.75Min: 4.68 / Avg: 4.72 / Max: 4.76Min: 4.71 / Avg: 4.76 / Max: 4.81Min: 4.61 / Avg: 4.65 / Max: 4.7Min: 4.68 / Avg: 4.72 / Max: 4.76Min: 4.63 / Avg: 4.65 / Max: 4.71. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti510152025SE +/- 0.11, N = 6SE +/- 0.07, N = 4SE +/- 0.11, N = 6SE +/- 0.09, N = 4SE +/- 0.16, N = 4SE +/- 0.04, N = 6SE +/- 0.12, N = 622.2022.5322.4322.4622.3322.5222.671. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti510152025Min: 21.75 / Avg: 22.2 / Max: 22.49Min: 22.33 / Avg: 22.53 / Max: 22.6Min: 21.97 / Avg: 22.43 / Max: 22.75Min: 22.28 / Avg: 22.46 / Max: 22.67Min: 22.07 / Avg: 22.33 / Max: 22.81Min: 22.38 / Avg: 22.52 / Max: 22.64Min: 22.39 / Avg: 22.67 / Max: 23.091. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti90180270360450SE +/- 0.32, N = 3SE +/- 0.80, N = 3SE +/- 1.29, N = 3SE +/- 0.54, N = 3SE +/- 0.51, N = 3SE +/- 0.70, N = 3SE +/- 1.15, N = 3436.41432.13433.17433.20434.83433.60432.94
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti80160240320400Min: 436.06 / Avg: 436.41 / Max: 437.06Min: 430.9 / Avg: 432.13 / Max: 433.62Min: 431.15 / Avg: 433.17 / Max: 435.57Min: 432.55 / Avg: 433.2 / Max: 434.28Min: 434.28 / Avg: 434.83 / Max: 435.84Min: 432.88 / Avg: 433.6 / Max: 434.99Min: 430.69 / Avg: 432.94 / Max: 434.49

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti50100150200250SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3205.71204.29204.99204.36205.34205.17204.42
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4080120160200Min: 205.65 / Avg: 205.71 / Max: 205.79Min: 204.09 / Avg: 204.29 / Max: 204.39Min: 204.87 / Avg: 204.99 / Max: 205.16Min: 204.19 / Avg: 204.36 / Max: 204.65Min: 205.23 / Avg: 205.34 / Max: 205.41Min: 205.14 / Avg: 205.17 / Max: 205.19Min: 204.3 / Avg: 204.42 / Max: 204.53

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4080120160200SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3180.05178.82179.18178.92179.73179.53178.91
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti306090120150Min: 179.96 / Avg: 180.05 / Max: 180.18Min: 178.75 / Avg: 178.82 / Max: 178.89Min: 178.85 / Avg: 179.18 / Max: 179.54Min: 178.8 / Avg: 178.92 / Max: 179.11Min: 179.67 / Avg: 179.73 / Max: 179.8Min: 179.39 / Avg: 179.53 / Max: 179.7Min: 178.81 / Avg: 178.91 / Max: 179.06

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550SE +/- 0.16, N = 3SE +/- 0.36, N = 3SE +/- 0.27, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 3SE +/- 0.28, N = 3SE +/- 0.45, N = 3525.68522.74523.56522.46525.24524.74522.41
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti90180270360450Min: 525.48 / Avg: 525.68 / Max: 525.99Min: 522.06 / Avg: 522.74 / Max: 523.26Min: 523.1 / Avg: 523.56 / Max: 524.02Min: 521.72 / Avg: 522.46 / Max: 522.85Min: 524.83 / Avg: 525.24 / Max: 525.63Min: 524.24 / Avg: 524.74 / Max: 525.19Min: 521.65 / Avg: 522.41 / Max: 523.22

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti60120180240300SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3263.71262.12262.35262.23262.46262.49262.30
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti50100150200250Min: 263.6 / Avg: 263.71 / Max: 263.78Min: 261.58 / Avg: 262.12 / Max: 262.41Min: 262.22 / Avg: 262.35 / Max: 262.43Min: 261.98 / Avg: 262.23 / Max: 262.39Min: 262.23 / Avg: 262.46 / Max: 262.63Min: 262.4 / Avg: 262.49 / Max: 262.58Min: 262.29 / Avg: 262.3 / Max: 262.33

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.3111.2511.2911.2611.3111.3011.26
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 11.31 / Avg: 11.31 / Max: 11.32Min: 11.24 / Avg: 11.25 / Max: 11.26Min: 11.28 / Avg: 11.29 / Max: 11.3Min: 11.24 / Avg: 11.26 / Max: 11.3Min: 11.31 / Avg: 11.31 / Max: 11.31Min: 11.29 / Avg: 11.3 / Max: 11.31Min: 11.24 / Avg: 11.26 / Max: 11.29

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti110220330440550SE +/- 0.61, N = 3SE +/- 0.43, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.51, N = 3SE +/- 0.45, N = 3SE +/- 0.41, N = 3520.21517.93518.56518.16519.79519.73517.47
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4RTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti90180270360450Min: 519.04 / Avg: 520.21 / Max: 521.07Min: 517.4 / Avg: 517.93 / Max: 518.79Min: 518.19 / Avg: 518.56 / Max: 518.77Min: 517.99 / Avg: 518.16 / Max: 518.29Min: 519.25 / Avg: 519.79 / Max: 520.81Min: 519.26 / Avg: 519.73 / Max: 520.63Min: 516.72 / Avg: 517.47 / Max: 518.15

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti60120180240300SE +/- 0.31, N = 3SE +/- 0.32, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3269.71268.46268.98268.39269.04268.97268.43
OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti50100150200250Min: 269.11 / Avg: 269.71 / Max: 270.17Min: 267.82 / Avg: 268.46 / Max: 268.84Min: 268.97 / Avg: 268.98 / Max: 268.99Min: 267.94 / Avg: 268.39 / Max: 268.79Min: 268.99 / Avg: 269.04 / Max: 269.09Min: 268.94 / Avg: 268.97 / Max: 269.02Min: 268.31 / Avg: 268.43 / Max: 268.65

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti4080120160200SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3186.35185.92186.33185.98186.39186.36185.79
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti306090120150Min: 186.27 / Avg: 186.35 / Max: 186.39Min: 185.54 / Avg: 185.92 / Max: 186.29Min: 186.3 / Avg: 186.33 / Max: 186.36Min: 185.89 / Avg: 185.98 / Max: 186.05Min: 186.36 / Avg: 186.39 / Max: 186.41Min: 186.29 / Avg: 186.36 / Max: 186.42Min: 185.53 / Avg: 185.79 / Max: 186.13

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.8410.8310.8510.8310.8510.8510.83
OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti3691215Min: 10.84 / Avg: 10.84 / Max: 10.84Min: 10.81 / Avg: 10.83 / Max: 10.85Min: 10.84 / Avg: 10.85 / Max: 10.86Min: 10.81 / Avg: 10.83 / Max: 10.86Min: 10.84 / Avg: 10.85 / Max: 10.86Min: 10.84 / Avg: 10.85 / Max: 10.86Min: 10.82 / Avg: 10.83 / Max: 10.85

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 DownloadRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 1326.3126.3126.2926.2926.3126.3226.301. (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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430Min: 26.25 / Avg: 26.31 / Max: 26.35Min: 26.25 / Avg: 26.31 / Max: 26.34Min: 26.25 / Avg: 26.29 / Max: 26.34Min: 26.25 / Avg: 26.29 / Max: 26.34Min: 26.25 / Avg: 26.31 / Max: 26.34Min: 26.25 / Avg: 26.32 / Max: 26.35Min: 26.25 / Avg: 26.3 / Max: 26.351. (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 ReadbackRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 1127.1127.1127.1127.1227.1227.1127.111. (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 ReadbackRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti612182430Min: 27.05 / Avg: 27.11 / Max: 27.13Min: 27.05 / Avg: 27.11 / Max: 27.13Min: 27.05 / Avg: 27.11 / Max: 27.13Min: 27.09 / Avg: 27.12 / Max: 27.13Min: 27.09 / Avg: 27.12 / Max: 27.13Min: 27.09 / Avg: 27.11 / Max: 27.13Min: 27.05 / Avg: 27.11 / Max: 27.131. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

SmallPT GPU

SmallPT GPU is an OpenCL benchmark that's run with various PTS changes compared to upstream and multiple rendering scenes are available. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: ComplexRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400M800M1200M1600M2000MSE +/- 21.07, N = 3SE +/- 21.07, N = 3SE +/- 19.34, N = 3SE +/- 19.92, N = 3SE +/- 19.92, N = 3SE +/- 19.92, N = 3SE +/- 19.92, N = 316575125461657935596165797376616579871301658001377165803126916580661191. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: ComplexRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti300M600M900M1200M1500MMin: 1657512510 / Avg: 1657512546.33 / Max: 1657512583Min: 1657935560 / Avg: 1657935596.33 / Max: 1657935633Min: 1657973733 / Avg: 1657973766.33 / Max: 1657973800Min: 1657987095 / Avg: 1657987129.67 / Max: 1657987164Min: 1658001343 / Avg: 1658001377.33 / Max: 1658001412Min: 1658031235 / Avg: 1658031269.33 / Max: 1658031304Min: 1658066084 / Avg: 1658066118.67 / Max: 16580661531. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: CornellRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400M800M1200M1600M2000MSE +/- 24.54, N = 3SE +/- 24.54, N = 3SE +/- 24.25, N = 3SE +/- 24.54, N = 3SE +/- 23.96, N = 3SE +/- 24.54, N = 3SE +/- 24.54, N = 316575126831657935733165797389916579872641658001510165803140316580662531. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterSmallPT GPU 1.6pts1OpenCL Device: GPU - Scene: CornellRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti300M600M900M1200M1500MMin: 1657512640 / Avg: 1657512682.67 / Max: 1657512725Min: 1657935691 / Avg: 1657935733.33 / Max: 1657935776Min: 1657973857 / Avg: 1657973899 / Max: 1657973941Min: 1657987221 / Avg: 1657987263.67 / Max: 1657987306Min: 1658001469 / Avg: 1658001510.33 / Max: 1658001552Min: 1658031361 / Avg: 1658031403.33 / Max: 1658031446Min: 1658066210 / Avg: 1658066252.67 / Max: 16580662951. (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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti400M800M1200M1600M2000MSE +/- 25.12, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 3SE +/- 24.83, N = 316575128261657935877165797404216579874071658001653165803154716580663961. (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 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti300M600M900M1200M1500MMin: 1657512783 / Avg: 1657512826.33 / Max: 1657512870Min: 1657935834 / Avg: 1657935877 / Max: 1657935920Min: 1657973999 / Avg: 1657974042 / Max: 1657974085Min: 1657987364 / Avg: 1657987407 / Max: 1657987450Min: 1658001610 / Avg: 1658001653 / Max: 1658001696Min: 1658031504 / Avg: 1658031547 / Max: 1658031590Min: 1658066353 / Avg: 1658066396 / Max: 16580664391. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

GPU Temperature Monitor

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

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3090RTX 3080RTX 3060 TiRTX 3080 TiRTX 3060RTX 3070RTX 3070 Ti60120180240300Min: 6.9 / Avg: 185.89 / Max: 349.02Min: 6.09 / Avg: 166.07 / Max: 321.26Min: 9.87 / Avg: 91.95 / Max: 199.9Min: 14.36 / Avg: 192.82 / Max: 350.38Min: 11.81 / Avg: 72.58 / Max: 170.09Min: 16.13 / Avg: 98.45 / Max: 220.01Min: 13.29 / Avg: 133.59 / Max: 289.89

79 Results Shown

clpeak
ViennaCL:
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-NN
SHOC Scalable HeterOgeneous Computing:
  OpenCL - GEMM SGEMM_N
  OpenCL - MD5 Hash
  OpenCL - Max SP Flops
Hashcat:
  SHA1
  SHA-512
  MD5
clpeak
Hashcat
clpeak
SHOC Scalable HeterOgeneous Computing
LuxCoreRender
Hashcat
LuxCoreRender:
  LuxCore Benchmark - GPU
  DLSC - GPU
FinanceBench
Rodinia
clpeak
cl-mem
Chaos Group V-RAY
SHOC Scalable HeterOgeneous Computing
VkResample
Chaos Group V-RAY
cl-mem
IndigoBench
LeelaChessZero
RealSR-NCNN
OctaneBench
LuxCoreRender
MandelGPU
ViennaCL
Meta Performance Per Watts
LuxCoreRender
IndigoBench
ViennaCL:
  OpenCL BLAS - dDOT
  OpenCL BLAS - dCOPY
FinanceBench
FAHBench
RealSR-NCNN
SHOC Scalable HeterOgeneous Computing
Darktable
ViennaCL
Waifu2x-NCNN Vulkan
cl-mem
ViennaCL:
  OpenCL BLAS - sCOPY
  OpenCL BLAS - sDOT
SHOC Scalable HeterOgeneous Computing
Darktable
ViennaCL
JuliaGPU
ViennaCL:
  OpenCL BLAS - dGEMM-TT
  OpenCL BLAS - dGEMV-N
Darktable:
  Server Rack - OpenCL
  Masskrug - OpenCL
SHOC Scalable HeterOgeneous Computing
Rodinia
clpeak:
  Transfer Bandwidth enqueueReadBuffer
  Kernel Latency
  Transfer Bandwidth enqueueWriteBuffer
vkpeak:
  fp32-vec4
  fp64-vec4
  fp64-scalar
  int16-vec4
  int32-scalar
  fp16-vec4
  int32-vec4
  int16-scalar
  fp32-scalar
  fp16-scalar
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Bus Speed Download
  OpenCL - Bus Speed Readback
SmallPT GPU:
  GPU - Complex
  GPU - Cornell
  GPU - Caustic3
GPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts