NVIDIA GeForce RTX 30 Linux GPU Compute Benchmarks

NVIDIA GPU compute benchmarks on Linux by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2104107-IB-GPUCOMPUT97
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 2 Tests
Multi-Core 5 Tests
NVIDIA GPU Compute 21 Tests
OpenCL 5 Tests
Renderers 3 Tests
Server CPU Tests 2 Tests
Vulkan Compute 4 Tests
Common Workstation Benchmarks 2 Tests

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
RTX 2060
April 08 2021
  4 Hours, 45 Minutes
RTX 2060 SUPER
March 31 2021
  4 Hours, 35 Minutes
RTX 2070
April 03 2021
  4 Hours, 39 Minutes
RTX 2070 SUPER
March 30 2021
  4 Hours, 26 Minutes
RTX 2080
April 04 2021
  3 Hours, 26 Minutes
RTX 2080 SUPER
April 01 2021
  3 Hours, 20 Minutes
RTX 2080 Ti
April 01 2021
  3 Hours, 9 Minutes
TITAN RTX
April 02 2021
  3 Hours, 15 Minutes
RTX 3060
April 07 2021
  3 Hours, 18 Minutes
RTX 3060 Ti
March 30 2021
  2 Hours, 40 Minutes
RTX 3070
April 06 2021
  2 Hours, 34 Minutes
RTX 3080
March 29 2021
  2 Hours, 20 Minutes
RTX 3090
April 04 2021
  2 Hours, 9 Minutes
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  3 Hours, 26 Minutes

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NVIDIA GeForce RTX 30 Linux GPU Compute BenchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3402 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 Plus + 2000GBNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GeForce RTX 2070 SUPER 8GBNVIDIA GeForce RTX 2060 SUPER 8GBNVIDIA GeForce RTX 2080 SUPER 8GBNVIDIA GeForce RTX 2080 Ti 11GBNVIDIA TITAN RTX 24GBASUS NVIDIA GeForce RTX 2070 8GBZotac NVIDIA GeForce RTX 2080 8GBNVIDIA GeForce RTX 3090 24GBNVIDIA GeForce RTX 3070 8GBeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA GeForce RTX 2060 6GBNVIDIA Device 1aefNVIDIA Device 228bNVIDIA TU104 HD AudioNVIDIA TU106 HD AudioNVIDIA TU102 HD AudioNVIDIA Device 228eASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.045.8.0-48-generic (x86_64)GNOME Shell 3.36.7X Server 1.20.9NVIDIA 460.674.6.0OpenCL 1.2 CUDA 11.2.1621.2.155GCC 9.3.0 + CUDA 11.2ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GeForce RTX 30 Linux GPU Compute Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009- RTX 3080: GPU Compute Cores: 8704- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- RTX 2070: GPU Compute Cores: 2304- RTX 2080: GPU Compute Cores: 2944- RTX 3090: GPU Compute Cores: 10496- RTX 3070: GPU Compute Cores: 5888- RTX 3060: GPU Compute Cores: 3584- RTX 2060: GPU Compute Cores: 1920- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060Result OverviewPhoronix Test Suite100%188%276%364%452%BlenderChaos Group V-RAYclpeakOctaneBenchLuxCoreRender OpenCLRedShift DemoIndigoBenchMixbenchLeelaChessZeroFinanceBenchVkResampleHashcatRodiniaRealSR-NCNNSHOC Scalable HeterOgeneous Computingcl-memBetsy GPU CompressorViennaCLFAHBenchArrayFireWaifu2x-NCNN VulkanGROMACSNAMD CUDA

NVIDIA GeForce RTX 30 Linux GPU Compute Benchmarksviennacl: OpenCL BLAS - sAXPYcl-mem: Readshoc: OpenCL - Triadshoc: OpenCL - Reductionshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Writeviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTclpeak: Global Memory Bandwidthmixbench: OpenCL - Double Precisionmixbench: OpenCL - Single Precisionshoc: OpenCL - S3Dshoc: OpenCL - FFT SPclpeak: Single-Precision Floatclpeak: Double-Precision Doubleshoc: OpenCL - GEMM SGEMM_Nviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-TTshoc: OpenCL - MD5 Hashmixbench: OpenCL - Integerclpeak: Integer Compute INThashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender-cl: DLSCluxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: Rainbow Colors and Prismlczero: OpenCLgromacs-gpu: Water Benchmarkfahbench: octanebench: Total Scorev-ray: NVIDIA CUDA GPUv-ray: NVIDIA RTX GPUnamd-cuda: ATPase Simulation - 327,506 Atomsvkresample: 2x - Doublevkresample: 2x - Singlearrayfire: Conjugate Gradient OpenCLfinancebench: Black-Scholes OpenCLrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestredshift: rodinia: OpenCL Particle Filterblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060468666.025.2918387.7292204.20354.5641.3350373547630592662.16385.8330534.44339.9071915.3829322.87537.246181.2349450149749237.400217004.8315094.025545870000018934633333984625239856666771056717.39345.9929.593.967.8722.31367339.127318.6499560.121285165021510.13138149.53111.4041.5617.6166.42834.3963.6203.3454.5231664.38622.1861.6341.8011.6436.4324.62400.08147.5456.72357393.124.7052324.7092119.25297.0383.3291324361399398389.00255.1418832.99211.8821152.9116008.65303.903438.4929229229221.69319593.818364.543291898571411092171429588691141212857142839011.45934.0117.252.995.9117.72259207.505236.5535382.77131118515480.13904263.98717.6692.09112.9768.84653.9904.5414.9746.7902406.96831.9285.4861.9917.8254.7541.98549.79217.7886.04325396.812.7814323.2711133.93290.8318.7281261366386403369.45260.389773.71199.2811087.478583.14308.543319.2729129029321.81519693.078612.75350967285711110704285759039014209714294263577.72024.5184.301.793.599.86174096.753229.3150264.4860187619620.15140263.37319.5012.07012.80710.41963.6324.8905.6367.5233507.01851.27172.2596.9928.5291.1956.971015.84357.54134.86328396.912.7589317.7281106.30286.9335.1277262368388403368.53221.548240.30188.877963.1256982.39263.473046.3624824624718.36628197.386949.7929173328571930708571449398211863857143498787.34723.2294.181.323.6011.23145376.271207.6500243.2716284907340.16666309.01822.2472.08216.41420011.51375.8415.3826.0818.4423807.99163.92301.61121.4130.97145.2365.221790.07544.98194.57328437.512.8073328.7711165.16300.6348.6288250404427440405.56314.0911866.92213.0581203.3410284.15376.323725.0235735235735426.624311714.4310291.50428575428571355440000071872717356857145359277.98225.6904.321.903.619.24210507.391262.0703266.6842297569260.14614215.02417.4361.90010.5258.92654.1994.4374.6116.2273235.78450.66160.6596.2025.7483.4747.42925.55345.65128.99405545.612.8851370.5011187.96321.6449.5308322478518521507.06432.1716375.16271.7001487.9513380.02522.284831.9447547248135.345916219.0813256.895518631428617685385714892680224774285765667511.03333.3715.632.194.6512.34276398.178298.6427352.02728992812450.14408155.56914.7581.6909.3117.86044.5293.9653.8515.1382474.46438.49152.8672.4519.5274.8136.07916.09285.52104.11389545.312.8550350.9711169.72306.3476.8296305477520516504.51439.2917145.67289.5961574.8513624.14515.024975.6247446845647236.289216892.9113017.215555460000017755985714894887224934285765433811.16333.6665.672.084.6912.92272997.018292.3992363.87204789212320.16623152.75514.1821.6889.1357.55743.3294.0136.8752464.70238.74161.8073.3619.9479.0336.63969.58297.11109.02321396.812.7737317.4601064.28283.4321.8271260367388402368.47226.008392.72193.427967.6167259.99267.843114.4725325225018.71948354.507048.6529906328571951190000050295512170428573575137.37923.4594.141.293.5610.97148296.358205.5287243.2805034787100.16145303.67122.2842.09515.99111.37375.1115.3735.9398.3603787.89064.95308.95122.9431.25149.2864.441844.76556.87198.29316396.812.7697317.8481114.90290.1331.2279250370388404369.16290.2910940.42196.9271098.168890.45345.973349.3632632432932424.323510825.099246.85385484714291221944285763576015621857144622137.74324.8954.231.863.559.29187817.111246.1809262.529077439030.14833234.43718.9942.07411.8319.44259.5354.6724.9716.8283426.25751.68169.0097.2026.5888.1250.67987.73354.15134.57504825.625.4663391.9582237.77363.4741.1366375607722650811.92500.4735766.27429.3332348.6735070.69656.288144.8160160359960044.437018323.7118024.3466668842857226796714291144540286544285785027520.77852.86111.154.669.1626.33386239.200343.3605678.2442196426200.13550122.8979.2751.4856.3055.85629.6713.4513.0164.0001413.76718.4751.4334.599.7230.4620.37336.99120.3546.75357393.124.6655325.8452121.56296.9379.8293326365396397389.08300.7222115.69218.5011135.1420059.00360.443775.8734134134025.528511288.3710229.183864135714313107471429686000166518571450340012.89037.2307.933.366.4918.92292087.657266.1016410.558253134117150.14151223.66917.5162.09010.4648.40050.0314.3074.2936.0302285.97928.9976.2654.2616.1048.1635.71462.60190.0576.96302315.824.3577306.3171256.43266.7296.4271289311325328314.23177.7213135.07171.800934.05912487.45209.562772.3020119919919415.22506602.455737.442282927142977133428574302559789714293001888.42025.6565.532.064.5113.26184566.086180.3698288.47316578410590.16281377.58923.3522.51816.66200011.18272.1985.2596.4499.7343059.76344.35128.5085.6424.3878.4858.22863.87319.41122.25252297.412.6239263.2811035.42239.3251.7219212279291308275.99195.677223.66147.563801.4985390.85231.532451.9921921716.31167256.565393.4925867371429823335714344228210511714293103885.58218.3793.301.202.787.91122485.789183.8393193.726074746580.17914349.25727.2222.65919.77633312.76585.6455.8526.7839.4014778.98974.50304.55140.6436.92150.1075.051812.31583.12208.09OpenBenchmarking.org

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206060120180240300Min: 10.54 / Avg: 125.39 / Max: 199.26Min: 14.19 / Avg: 123.82 / Max: 220.83Min: 10.2 / Avg: 109.24 / Max: 183.51Min: 9.41 / Avg: 124.5 / Max: 256.58Min: 5.32 / Avg: 165.77 / Max: 309.64Min: 14.4 / Avg: 186.22 / Max: 286.17Min: 7.66 / Avg: 107.12 / Max: 181.1Min: 13.81 / Avg: 131.99 / Max: 221.75Min: 8.12 / Avg: 235.82 / Max: 349.45Min: 8.76 / Avg: 139.42 / Max: 219.83Min: 13.25 / Avg: 102.37 / Max: 169.54Min: 10.05 / Avg: 99.86 / Max: 165.39

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.1850.370.5550.740.9250.8200.3800.4900.4100.3800.3020.5410.3760.3930.8110.8220.528

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 2060RTX 2060 SUPERRTX 2080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 3090RTX 3070RTX 3060110220330440550SE +/- 0.33, N = 3SE +/- 3.40, N = 6SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.15, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 4.00, N = 42533293174683573253284053893215043573021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602468106.3605.6005.7206.4505.7204.7326.7165.7363.7066.4216.5245.844

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206051015202520.82011.60011.96011.1708.1907.62112.25910.7529.93218.91215.20313.094

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602004006008001000SE +/- 5.79, N = 8SE +/- 0.17, N = 8SE +/- 0.08, N = 8SE +/- 0.10, N = 8SE +/- 0.10, N = 8SE +/- 0.11, N = 8SE +/- 0.45, N = 8SE +/- 0.09, N = 8SE +/- 0.10, N = 8SE +/- 0.17, N = 9SE +/- 0.18, N = 8SE +/- 1.48, N = 7SE +/- 0.09, N = 7666.0393.1396.8396.9437.5545.6545.3396.8396.8825.6393.1315.8297.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.90971.81942.72913.63884.54853.7703.5003.5903.8102.9702.8273.7863.3832.3433.7814.0433.531

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.01, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 11SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 1125.2924.7112.7812.7612.8112.8912.8612.7712.7725.4724.6724.3612.621. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206090180270360450SE +/- 0.25, N = 3SE +/- 0.43, N = 12SE +/- 0.09, N = 12SE +/- 0.09, N = 12SE +/- 0.08, N = 12SE +/- 0.03, N = 12SE +/- 1.26, N = 12SE +/- 0.05, N = 12SE +/- 0.07, N = 12SE +/- 0.04, N = 12SE +/- 0.35, N = 12SE +/- 0.17, N = 15SE +/- 0.03, N = 11387.73324.71323.27317.73328.77370.50350.97317.46317.85391.96325.85306.32263.281. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20605001000150020002500SE +/- 6.23, N = 3SE +/- 3.31, N = 4SE +/- 1.35, N = 3SE +/- 0.63, N = 4SE +/- 1.33, N = 3SE +/- 3.03, N = 3SE +/- 4.50, N = 3SE +/- 3.12, N = 3SE +/- 3.05, N = 3SE +/- 5.35, N = 3SE +/- 6.27, N = 4SE +/- 0.91, N = 4SE +/- 1.41, N = 32204.202119.251133.931106.301165.161187.961169.721064.281114.902237.772121.561256.431035.421. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206080160240320400SE +/- 0.20, N = 3SE +/- 0.22, N = 8SE +/- 0.19, N = 7SE +/- 0.15, N = 8SE +/- 0.14, N = 8SE +/- 0.08, N = 8SE +/- 0.12, N = 8SE +/- 0.15, N = 8SE +/- 0.14, N = 8SE +/- 0.06, N = 9SE +/- 0.16, N = 8SE +/- 1.32, N = 7SE +/- 0.05, N = 7354.5297.0290.8286.9300.6321.6306.3283.4290.1363.4296.9266.7239.31. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060160320480640800SE +/- 0.36, N = 3SE +/- 0.10, N = 8SE +/- 0.22, N = 8SE +/- 0.22, N = 8SE +/- 0.52, N = 8SE +/- 0.46, N = 8SE +/- 0.86, N = 8SE +/- 0.21, N = 8SE +/- 0.51, N = 8SE +/- 0.42, N = 9SE +/- 0.10, N = 8SE +/- 1.71, N = 7SE +/- 0.30, N = 7641.3383.3318.7335.1348.6449.5476.8321.8331.2741.1379.8296.4251.71. (CC) gcc options: -O2 -flto -lOpenCL

ViennaCL

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

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYRTX 3060 TiRTX 2060RTX 2060 SUPERRTX 3070RTX 3080RTX 2070 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 306080160240320400SE +/- 0.67, N = 3SE +/- 3.42, N = 6SE +/- 0.58, N = 3SE +/- 3.18, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 3.34, N = 42902182762943502812883082962712793662711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTRTX 2060 SUPERRTX 2070 SUPERRTX 3070RTX 3080RTX 3060 TiRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3060RTX 206080160240320400SE +/- 1.00, N = 3SE +/- 0.89, N = 6SE +/- 0.33, N = 3SE +/- 3.42, N = 42632603253733242503223052602503752892121. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYRTX 2060RTX 3060 TiRTX 3080RTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060130260390520650SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 5.54, N = 6SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 3.75, N = 42803625473663684044784773673706073653111. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060160320480640800SE +/- 0.33, N = 3SE +/- 2.50, N = 46303993863884275185203883887223963252911. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTRTX 2070RTX 2070 SUPERRTX 3080RTX 3060 TiRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2080RTX 3090RTX 3070RTX 3060RTX 2060140280420560700SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 6.17, N = 6SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 34014025923984034405215164046503973283081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

clpeak

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602468107.5006.5807.1607.7806.1206.9778.2466.1177.5637.6825.7726.136

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602004006008001000SE +/- 0.02, N = 3SE +/- 0.17, N = 15SE +/- 0.27, N = 15SE +/- 0.17, N = 13SE +/- 0.12, N = 15SE +/- 0.56, N = 12SE +/- 1.69, N = 13SE +/- 0.30, N = 13SE +/- 0.13, N = 13SE +/- 1.06, N = 14SE +/- 0.38, N = 15SE +/- 0.69, N = 10SE +/- 0.29, N = 15662.16389.00369.45368.53405.56507.06504.51368.47369.16811.92389.08314.23275.991. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Mixbench

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206036912156.6806.3806.3108.3909.4508.1797.0637.1006.4878.0795.1755.842

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060130260390520650494.93244.11223.96311.78348.97311.78278.61259.05472.79599.86381.98220.08

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602468105.5304.7305.0205.3806.0905.2026.0664.3896.3376.1044.8484.212

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206061218243026.9322.7219.7326.3126.5224.9325.6522.9026.3726.2523.7019.65

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060153045607550.6444.3044.1750.9057.2154.8348.0443.9868.8356.3744.7437.92

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060110220330440550SE +/- 4.62, N = 3SE +/- 0.54, N = 14SE +/- 0.39, N = 14SE +/- 0.42, N = 13SE +/- 0.73, N = 14SE +/- 4.13, N = 15SE +/- 2.90, N = 15SE +/- 0.43, N = 13SE +/- 0.65, N = 14SE +/- 9.22, N = 15SE +/- 1.06, N = 14SE +/- 0.36, N = 13SE +/- 0.33, N = 13385.83255.14260.38221.54314.09432.17439.29226.00290.29500.47300.72177.72195.671. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20608K16K24K32K40KSE +/- 541.23, N = 15SE +/- 4.81, N = 14SE +/- 6.29, N = 14SE +/- 6.28, N = 13SE +/- 1.97, N = 14SE +/- 14.06, N = 15SE +/- 3.96, N = 14SE +/- 2.54, N = 13SE +/- 1.55, N = 14SE +/- 645.17, N = 15SE +/- 86.13, N = 15SE +/- 1.98, N = 13SE +/- 75.94, N = 1530534.4418832.999773.718240.3011866.9216375.1617145.678392.7210940.4235766.2722115.6913135.077223.661. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206090180270360450SE +/- 0.09, N = 3SE +/- 0.05, N = 14SE +/- 0.04, N = 13SE +/- 0.07, N = 15SE +/- 0.06, N = 14SE +/- 0.06, N = 14SE +/- 0.07, N = 14SE +/- 0.04, N = 14SE +/- 0.05, N = 14SE +/- 0.20, N = 14SE +/- 0.08, N = 14SE +/- 0.04, N = 14SE +/- 0.05, N = 14339.91211.88199.28188.88213.06271.70289.60193.43196.93429.33218.50171.80147.561. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20605001000150020002500SE +/- 2.13, N = 3SE +/- 0.17, N = 12SE +/- 0.48, N = 12SE +/- 0.09, N = 12SE +/- 0.35, N = 12SE +/- 1.05, N = 12SE +/- 0.50, N = 12SE +/- 0.17, N = 12SE +/- 0.38, N = 12SE +/- 0.98, N = 13SE +/- 0.41, N = 12SE +/- 0.12, N = 12SE +/- 0.68, N = 151915.381152.911087.47963.131203.341487.951574.85967.621098.162348.671135.14934.06801.501. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20608K16K24K32K40KSE +/- 109.43, N = 3SE +/- 16.76, N = 13SE +/- 80.96, N = 15SE +/- 83.80, N = 15SE +/- 54.52, N = 13SE +/- 198.54, N = 15SE +/- 162.29, N = 15SE +/- 80.51, N = 15SE +/- 15.95, N = 12SE +/- 56.57, N = 13SE +/- 12.28, N = 14SE +/- 88.44, N = 15SE +/- 55.97, N = 1529322.8716008.658583.146982.3910284.1513380.0213624.147259.998890.4535070.6920059.0012487.455390.851. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060140280420560700SE +/- 0.68, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.48, N = 3SE +/- 0.03, N = 3SE +/- 1.36, N = 3SE +/- 4.52, N = 3SE +/- 0.70, N = 3SE +/- 0.92, N = 3SE +/- 0.77, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3537.24303.90308.54263.47376.32522.28515.02267.84345.97656.28360.44209.56231.531. (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: GEMM SGEMM_NRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602K4K6K8K10KSE +/- 62.64, N = 6SE +/- 2.73, N = 10SE +/- 1.92, N = 9SE +/- 7.32, N = 9SE +/- 1.79, N = 10SE +/- 12.95, N = 10SE +/- 38.91, N = 10SE +/- 7.35, N = 9SE +/- 1.77, N = 9SE +/- 29.12, N = 11SE +/- 20.37, N = 10SE +/- 3.66, N = 9SE +/- 0.34, N = 86181.233438.493319.273046.363725.024831.944975.623114.473349.368144.813775.872772.302451.991. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

ViennaCL

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080 TiRTX 3060 TiRTX 3070RTX 20800.7021.4042.1062.8083.512.2502.3612.7003.1202.6702.8792.842

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 2060RTX 3060 TiRTX 30700.64891.29781.94672.59563.24452.2942.6002.884

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 2080 SUPERTITAN RTXRTX 2080RTX 3090RTX 30600.69751.3952.09252.793.48753.1002.9082.7722.6862.139

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 TiRTX 3060 TiRTX 3070RTX 3080RTX 2080 SUPERTITAN RTXRTX 3090RTX 3060130260390520650SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 2.00, N = 3SE +/- 1.67, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 5.20, N = 6SE +/- 2.00, N = 2SE +/- 2.73, N = 3SE +/- 1.86, N = 3SE +/- 3.09, N = 42182492552903294762933424943574746012011. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 TiRTX 3080RTX 3060 TiRTX 2080 SUPERTITAN RTXRTX 3090RTX 3070RTX 3060RTX 2060130260390520650SE +/- 0.88, N = 3SE +/- 1.67, N = 3SE +/- 1.67, N = 3SE +/- 3.18, N = 6SE +/- 2.00, N = 2SE +/- 2.65, N = 3SE +/- 1.33, N = 3SE +/- 5.50, N = 22482542893274735012923524686033411992171. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 2060 SUPERRTX 2070RTX 2080RTX 2080 TiRTX 3070RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 3090RTX 3060130260390520650SE +/- 1.15, N = 3SE +/- 1.67, N = 3SE +/- 0.67, N = 3SE +/- 3.40, N = 6SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 8.00, N = 2SE +/- 1.33, N = 3SE +/- 3.67, N = 32492523324833414972922933574565991991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTRTX 3080RTX 2080 SUPERTITAN RTXRTX 2080RTX 3090RTX 3060130260390520650SE +/- 8.15, N = 4SE +/- 4.50, N = 24923544723246001941. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.13730.27460.41190.54920.68650.3900.3700.3600.4800.6100.5490.3870.4150.5050.4750.2990.335

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601020304050SE +/- 0.08, N = 3SE +/- 0.01, N = 13SE +/- 0.01, N = 13SE +/- 0.01, N = 12SE +/- 0.02, N = 13SE +/- 0.02, N = 13SE +/- 0.12, N = 13SE +/- 0.02, N = 12SE +/- 0.02, N = 13SE +/- 0.09, N = 14SE +/- 0.02, N = 13SE +/- 0.01, N = 12SE +/- 0.01, N = 1237.4021.6921.8218.3726.6235.3536.2918.7224.3244.4425.5315.2316.311. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

Mixbench

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206070140210280350244.15237.56230.71294.97344.32297.27254.32255.63230.61305.19190.95216.66

clpeak

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20604080120160200128.13123.90113.37148.77136.43123.61119.26127.83137.69159.35126.68115.13

Mixbench

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

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20604K8K12K16K20KSE +/- 5.02, N = 3SE +/- 8.76, N = 14SE +/- 0.73, N = 12SE +/- 8.41, N = 13SE +/- 6.58, N = 15SE +/- 16.25, N = 14SE +/- 122.22, N = 15SE +/- 8.25, N = 13SE +/- 9.69, N = 14SE +/- 363.85, N = 15SE +/- 1.03, N = 14SE +/- 166.10, N = 15SE +/- 11.60, N = 1317004.839593.819693.078197.3811714.4316219.0816892.918354.5010825.0918323.7111288.376602.457256.561. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20604K8K12K16K20KSE +/- 160.26, N = 15SE +/- 89.81, N = 15SE +/- 71.02, N = 15SE +/- 83.52, N = 15SE +/- 65.60, N = 13SE +/- 128.94, N = 15SE +/- 473.13, N = 15SE +/- 78.69, N = 15SE +/- 85.43, N = 15SE +/- 116.54, N = 12SE +/- 50.89, N = 13SE +/- 20.50, N = 13SE +/- 47.74, N = 1515094.028364.548612.756949.7910291.5013256.8913017.217048.659246.8518024.3410229.185737.445393.491. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Hashcat

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: MD5RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206080M160M240M320M400M298932052.77301310795.77295180004.23318467603.88389692802.51359788914.02306967445.83318066692.34342710719.35332753520.51282461402.46281385844.25

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA1RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206030M60M90M120M150M101504398.1795456867.0292186785.86101709880.24122493551.98111981983.0697616405.52100791249.30115091186.65110690821.0696531515.7990798237.08

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: 7-ZipRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20602K4K6K8K10K10113.768881.508544.439524.6111111.759652.839214.479423.509377.9511442.688428.738683.23

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA-512RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603M6M9M12M15M12747527.2011943947.4612097027.3412688099.6815312675.5414038746.8412377776.2912836884.8014246382.5013926432.2411892942.8711595577.64

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206014000M28000M42000M56000M70000MSE +/- 55820277.08, N = 3SE +/- 11341315.72, N = 7SE +/- 10209186.21, N = 7SE +/- 20426310.23, N = 7SE +/- 16181895.49, N = 7SE +/- 56534306.60, N = 7SE +/- 49932907.37, N = 7SE +/- 31650906.21, N = 7SE +/- 63739890.76, N = 7SE +/- 37493084.17, N = 7SE +/- 30034122.32, N = 7SE +/- 16702105.86, N = 7SE +/- 15994429.30, N = 755458700000329189857143509672857129173328571428575428575518631428655554600000299063285713854847142966668842857386413571432282927142925867371429

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20605000M10000M15000M20000M25000MSE +/- 6568950.53, N = 3SE +/- 8126637.98, N = 7SE +/- 3493521.70, N = 7SE +/- 7264539.72, N = 7SE +/- 14364688.85, N = 7SE +/- 13351911.38, N = 7SE +/- 10849872.25, N = 7SE +/- 4823948.20, N = 7SE +/- 13573045.02, N = 7SE +/- 10394772.36, N = 7SE +/- 6748005.50, N = 7SE +/- 4409613.80, N = 7SE +/- 2725528.10, N = 71893463333311092171429111070428579307085714135544000001768538571417755985714951190000012219442857226796714291310747142977133428578233357143

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060200K400K600K800K1000KSE +/- 8325.39, N = 8SE +/- 370.86, N = 11SE +/- 1953.37, N = 10SE +/- 442.89, N = 11SE +/- 627.85, N = 11SE +/- 1256.70, N = 10SE +/- 5022.05, N = 15SE +/- 444.64, N = 11SE +/- 13230.07, N = 15SE +/- 2731.76, N = 10SE +/- 425.97, N = 11SE +/- 572.45, N = 11SE +/- 407.84, N = 119846255886915903904939827187278926808948875029556357601144540686000430255442282

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060600M1200M1800M2400M3000MSE +/- 2292257.50, N = 3SE +/- 1114987.57, N = 7SE +/- 2098266.21, N = 7SE +/- 1191123.63, N = 7SE +/- 1721354.47, N = 7SE +/- 1806187.40, N = 7SE +/- 2223773.83, N = 7SE +/- 2076381.60, N = 7SE +/- 3482228.94, N = 7SE +/- 3339151.39, N = 7SE +/- 1513813.94, N = 7SE +/- 1072539.11, N = 7SE +/- 850690.00, N = 7239856666714121285711420971429118638571417356857142247742857224934285712170428571562185714286544285716651857149789714291051171429

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060200K400K600K800K1000KSE +/- 7188.96, N = 3SE +/- 67.41, N = 10SE +/- 4003.26, N = 7SE +/- 666.62, N = 9SE +/- 3956.17, N = 15SE +/- 586.68, N = 8SE +/- 1486.48, N = 8SE +/- 498.01, N = 8SE +/- 526.25, N = 8SE +/- 976.83, N = 8SE +/- 360.86, N = 10SE +/- 912.89, N = 8SE +/- 318.72, N = 8710567428390426357349878535927656675654338357513462213850275503400300188310388

IndigoBench

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.01760.03520.05280.07040.0880.0700.0600.0500.0600.0600.0530.0560.0530.0680.0780.0740.051

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.0540.1080.1620.2160.270.2400.1900.1800.1900.1700.1630.1810.1720.1870.2400.2390.169

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060510152025SE +/- 0.031, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.017, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.031, N = 3SE +/- 0.011, N = 3SE +/- 0.006, N = 3SE +/- 0.000, N = 317.39311.4597.7207.3477.98211.03311.1637.3797.74320.77812.8908.4205.582

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601224364860SE +/- 0.38, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 345.9934.0124.5223.2325.6933.3733.6723.4624.9052.8637.2325.6618.38

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 39.597.254.304.184.325.635.674.144.2311.157.935.533.30MIN: 9.28 / MAX: 9.71MIN: 6.94 / MAX: 7.39MIN: 1.32 / MAX: 4.51MIN: 4.1 / MAX: 4.29MIN: 4.15 / MAX: 4.43MIN: 5.21 / MAX: 5.75MIN: 4.85 / MAX: 5.74MIN: 3.8 / MAX: 4.28MIN: 4.14 / MAX: 4.29MIN: 9.79 / MAX: 11.28MIN: 7.82 / MAX: 8.13MIN: 5.23 / MAX: 5.69MIN: 3.15 / MAX: 3.39

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601.04852.0973.14554.1945.2425SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.07, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 7SE +/- 0.02, N = 3SE +/- 0.01, N = 33.962.991.791.321.902.192.081.291.864.663.362.061.20MIN: 0.26 / MAX: 4.99MIN: 0.2 / MAX: 3.75MIN: 0.09 / MAX: 2.3MIN: 0.23 / MAX: 1.59MIN: 0.21 / MAX: 2.38MIN: 0.23 / MAX: 2.7MIN: 0.22 / MAX: 2.61MIN: 0.21 / MAX: 1.55MIN: 0.21 / MAX: 2.29MIN: 0.29 / MAX: 5.93MIN: 0.2 / MAX: 4.25MIN: 0.22 / MAX: 2.57MIN: 0.21 / MAX: 1.43

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 37.875.913.593.603.614.654.693.563.559.166.494.512.78MIN: 0.27 / MAX: 9.03MIN: 0.27 / MAX: 6.84MIN: 0.11 / MAX: 4.24MIN: 0.23 / MAX: 4.14MIN: 0.23 / MAX: 4.14MIN: 0.27 / MAX: 5.37MIN: 0.27 / MAX: 5.45MIN: 0.23 / MAX: 4.1MIN: 0.23 / MAX: 4.09MIN: 0.23 / MAX: 10.53MIN: 0.27 / MAX: 7.45MIN: 0.23 / MAX: 5.21MIN: 0.23 / MAX: 3.19

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.03650.0730.10950.1460.18250.1600.0900.1000.0900.0800.0790.1030.0800.1260.1620.1420.087

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060612182430SE +/- 0.10, N = 3SE +/- 0.04, N = 5SE +/- 0.29, N = 12SE +/- 0.09, N = 4SE +/- 0.01, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.04, N = 6SE +/- 0.11, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 322.3117.729.8611.239.2412.3412.9210.979.2926.3318.9213.267.91MIN: 20.53 / MAX: 23.39MIN: 16.31 / MAX: 18.32MIN: 3.83 / MAX: 10.57MIN: 5.85 / MAX: 11.69MIN: 8.32 / MAX: 9.68MIN: 10.56 / MAX: 12.86MIN: 11.38 / MAX: 13.49MIN: 10.17 / MAX: 11.29MIN: 8.89 / MAX: 9.66MIN: 23.57 / MAX: 27.71MIN: 17.65 / MAX: 20.07MIN: 12.32 / MAX: 13.86MIN: 6.97 / MAX: 8.2

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 0.26Backend: OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20608K16K24K32K40KSE +/- 210.78, N = 3SE +/- 104.85, N = 3SE +/- 31.66, N = 3SE +/- 59.97, N = 3SE +/- 98.63, N = 3SE +/- 120.07, N = 3SE +/- 211.49, N = 3SE +/- 73.63, N = 3SE +/- 72.61, N = 3SE +/- 98.56, N = 3SE +/- 49.53, N = 3SE +/- 95.55, N = 3SE +/- 40.29, N = 3367332592017409145372105027639272991482918781386232920818456122481. (CXX) g++ options: -flto -pthread

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.01190.02380.03570.04760.05950.0500.0400.0500.0500.0400.0380.0450.0430.0430.0520.0530.046

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.49640.99281.48921.98562.4822.1101.9201.8302.0002.0801.7591.8871.8151.6082.2062.0681.788

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.125, N = 3SE +/- 0.047, N = 3SE +/- 0.036, N = 3SE +/- 0.015, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.011, N = 3SE +/- 0.024, N = 3SE +/- 0.031, N = 3SE +/- 0.011, N = 2SE +/- 0.052, N = 3SE +/- 0.017, N = 3SE +/- 0.004, N = 39.1277.5056.7536.2717.3918.1787.0186.3587.1119.2007.6576.0865.7891. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206070140210280350SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 0.26, N = 3SE +/- 3.72, N = 3SE +/- 0.36, N = 3SE +/- 0.10, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.55, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3318.65236.55229.32207.65262.07298.64292.40205.53246.18343.36266.10180.37183.84

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 2020.1Total ScoreRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.52291.04581.56872.09162.61452.3101.7001.6701.7401.5801.5911.6951.5862.0112.3172.3241.635

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060150300450600750560.12382.77264.49243.27266.68352.03363.87243.28262.53678.24410.56288.47193.73

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 5Mode: NVIDIA CUDA GPURTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060400800120016002000SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 31650118576149075692889247874319641341784474

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPURTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20606001200180024003000SE +/- 2.00, N = 3SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 1.45, N = 3SE +/- 1.00, N = 3SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 5.90, N = 3SE +/- 2.00, N = 3SE +/- 1.33, N = 32151154896273492612451232710903262017151059658

RealSR-NCNN

OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601224364860Min: 32 / Avg: 44.68 / Max: 55Min: 32 / Avg: 49.79 / Max: 59Min: 30 / Avg: 43.67 / Max: 53Min: 30 / Avg: 42.32 / Max: 51Min: 39 / Avg: 52.01 / Max: 60Min: 32 / Avg: 43.08 / Max: 52Min: 32 / Avg: 46.6 / Max: 57Min: 29 / Avg: 44.71 / Max: 58Min: 26 / Avg: 34.79 / Max: 43Min: 30 / Avg: 42.51 / Max: 53Min: 38 / Avg: 51.42 / Max: 58Min: 33 / Avg: 46.85 / Max: 56

OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 39 / Avg: 63.14 / Max: 69Min: 47 / Avg: 65.58 / Max: 72Min: 40 / Avg: 64.41 / Max: 71Min: 40 / Avg: 63.51 / Max: 73Min: 50 / Avg: 66.57 / Max: 73Min: 42 / Avg: 63.57 / Max: 73Min: 46 / Avg: 68.58 / Max: 75Min: 47 / Avg: 73.37 / Max: 81Min: 33 / Avg: 50.01 / Max: 59Min: 39 / Avg: 63.65 / Max: 71Min: 43 / Avg: 61.29 / Max: 64Min: 42 / Avg: 65.25 / Max: 70

Waifu2x-NCNN Vulkan

OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601326395265Min: 51 / Avg: 55.58 / Max: 61Min: 55 / Avg: 59.27 / Max: 64Min: 53 / Avg: 58.62 / Max: 63Min: 54 / Avg: 58.44 / Max: 64Min: 57 / Avg: 61.18 / Max: 66Min: 56 / Avg: 60.39 / Max: 65Min: 56 / Avg: 60.92 / Max: 66Min: 60 / Avg: 64.61 / Max: 69Min: 48 / Avg: 51.28 / Max: 55Min: 52 / Avg: 55.98 / Max: 61Min: 45 / Avg: 50.14 / Max: 57Min: 53 / Avg: 57.76 / Max: 63

NAMD CUDA

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.14GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601326395265Min: 43 / Avg: 50.03 / Max: 58Min: 44 / Avg: 49.14 / Max: 54Min: 45 / Avg: 51.98 / Max: 58Min: 42 / Avg: 47.54 / Max: 53Min: 48 / Avg: 52.47 / Max: 57Min: 49 / Avg: 53.65 / Max: 57Min: 46 / Avg: 52.62 / Max: 59Min: 52 / Avg: 58.92 / Max: 66Min: 49 / Avg: 53.08 / Max: 57Min: 45 / Avg: 51.2 / Max: 59Min: 46 / Avg: 51.06 / Max: 59Min: 43 / Avg: 50.68 / Max: 58

Betsy GPU Compressor

OpenBenchmarking.orgCelsius, Fewer Is BetterBetsy GPU Compressor 1.1 BetaGPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601326395265Min: 44 / Avg: 48.92 / Max: 56Min: 45 / Avg: 49.08 / Max: 53Min: 46 / Avg: 50.74 / Max: 57Min: 44 / Avg: 47.46 / Max: 52Min: 48 / Avg: 51.78 / Max: 55Min: 46 / Avg: 50.45 / Max: 55Min: 48 / Avg: 53.08 / Max: 58Min: 55 / Avg: 59.89 / Max: 65Min: 48 / Avg: 51.07 / Max: 55Min: 46 / Avg: 50.46 / Max: 57Min: 43 / Avg: 48.93 / Max: 55Min: 45 / Avg: 50.41 / Max: 61

OpenBenchmarking.orgCelsius, Fewer Is BetterBetsy GPU Compressor 1.1 BetaGPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601326395265Min: 44 / Avg: 49.56 / Max: 58Min: 46 / Avg: 51.22 / Max: 60Min: 46 / Avg: 52.82 / Max: 62Min: 45 / Avg: 48.64 / Max: 53Min: 48 / Avg: 53.32 / Max: 58Min: 49 / Avg: 55.15 / Max: 63Min: 56 / Avg: 60.79 / Max: 66Min: 47 / Avg: 51.07 / Max: 55Min: 46 / Avg: 51.14 / Max: 58Min: 44 / Avg: 49.88 / Max: 57Min: 46 / Avg: 53.57 / Max: 63

VkResample

OpenBenchmarking.orgCelsius, Fewer Is BetterVkResample 1.0GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601224364860Min: 43 / Avg: 49.21 / Max: 53Min: 44 / Avg: 48.98 / Max: 53Min: 45 / Avg: 50.68 / Max: 55Min: 43 / Avg: 47.68 / Max: 51Min: 49 / Avg: 52.8 / Max: 57Min: 32 / Avg: 40.41 / Max: 47Min: 47 / Avg: 52.33 / Max: 56Min: 54 / Avg: 58.93 / Max: 63Min: 46 / Avg: 50.45 / Max: 55Min: 45 / Avg: 50.39 / Max: 55Min: 44 / Avg: 51.84 / Max: 57Min: 45 / Avg: 50.62 / Max: 54

OpenBenchmarking.orgCelsius, Fewer Is BetterVkResample 1.0GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601122334455Min: 39 / Avg: 41.85 / Max: 52Min: 40 / Avg: 42.69 / Max: 50Min: 41 / Avg: 43.48 / Max: 53Min: 39 / Avg: 41.7 / Max: 49Min: 43 / Avg: 45.78 / Max: 53Min: 39 / Avg: 40.53 / Max: 48Min: 42 / Avg: 44.69 / Max: 52Min: 48 / Avg: 50.76 / Max: 57Min: 42 / Avg: 44.81 / Max: 51Min: 41 / Avg: 43.46 / Max: 53Min: 48 / Avg: 50.2 / Max: 58Min: 41 / Avg: 43.61 / Max: 52

RedShift Demo

OpenBenchmarking.orgCelsius, Fewer Is BetterRedShift Demo 3.0GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 65.62 / Max: 67Min: 55 / Avg: 64.56 / Max: 66Min: 54 / Avg: 67.74 / Max: 69Min: 53 / Avg: 62.87 / Max: 65Min: 61 / Avg: 72.42 / Max: 75Min: 60 / Avg: 71.93 / Max: 74Min: 57 / Avg: 68.13 / Max: 70Min: 62 / Avg: 74.31 / Max: 77Min: 58 / Avg: 68.17 / Max: 70Min: 53 / Avg: 66.54 / Max: 68Min: 43 / Avg: 56.83 / Max: 59Min: 51 / Avg: 62.3 / Max: 63

Rodinia

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601428425670Min: 51 / Avg: 55.7 / Max: 59Min: 53 / Avg: 58.3 / Max: 62Min: 53 / Avg: 58.82 / Max: 62Min: 53 / Avg: 58 / Max: 62Min: 58 / Avg: 63.77 / Max: 69Min: 58 / Avg: 63.9 / Max: 69Min: 54 / Avg: 59.79 / Max: 65Min: 60 / Avg: 65.24 / Max: 70Min: 55 / Avg: 58.58 / Max: 62Min: 51 / Avg: 55.6 / Max: 60Min: 44 / Avg: 48.45 / Max: 52Min: 52 / Avg: 56.79 / Max: 60

ArrayFire

OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601224364860Min: 47 / Avg: 50.19 / Max: 54Min: 48 / Avg: 50.8 / Max: 54Min: 49 / Avg: 51.74 / Max: 56Min: 48 / Avg: 50.81 / Max: 54Min: 53 / Avg: 56.11 / Max: 59Min: 54 / Avg: 56.74 / Max: 60Min: 48 / Avg: 51.14 / Max: 55Min: 55 / Avg: 57.49 / Max: 60Min: 52 / Avg: 54.8 / Max: 57Min: 47 / Avg: 50.42 / Max: 54Min: 47 / Avg: 51.34 / Max: 57Min: 47 / Avg: 50.47 / Max: 54

FinanceBench

OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-07-25GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601122334455Min: 39 / Avg: 42.12 / Max: 46Min: 42 / Avg: 44 / Max: 47Min: 41 / Avg: 43.36 / Max: 47Min: 40 / Avg: 43.27 / Max: 47Min: 45 / Avg: 47.98 / Max: 52Min: 46 / Avg: 48.87 / Max: 52Min: 40 / Avg: 42.98 / Max: 46Min: 47 / Avg: 49.79 / Max: 53Min: 47 / Avg: 49.59 / Max: 53Min: 41 / Avg: 43.23 / Max: 46Min: 46 / Avg: 48.17 / Max: 51Min: 40 / Avg: 42.75 / Max: 46

Blender

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 65.52 / Max: 70Min: 51 / Avg: 61.02 / Max: 64Min: 53 / Avg: 65.32 / Max: 69Min: 51 / Avg: 59.69 / Max: 63Min: 60 / Avg: 69.21 / Max: 73Min: 59 / Avg: 69.63 / Max: 73Min: 56 / Avg: 65.62 / Max: 69Min: 61 / Avg: 71.75 / Max: 76Min: 57 / Avg: 63.9 / Max: 67Min: 53 / Avg: 65.46 / Max: 70Min: 43 / Avg: 56.25 / Max: 59Min: 51 / Avg: 62.55 / Max: 65

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 69.67 / Max: 72Min: 53 / Avg: 65.15 / Max: 67Min: 54 / Avg: 64.67 / Max: 66Min: 52 / Avg: 64.26 / Max: 66Min: 60 / Avg: 72.01 / Max: 74Min: 60 / Avg: 71.77 / Max: 73Min: 56 / Avg: 64.51 / Max: 66Min: 62 / Avg: 75.95 / Max: 78Min: 56 / Avg: 67.45 / Max: 70Min: 53 / Avg: 70.17 / Max: 73Min: 44 / Avg: 58.48 / Max: 60Min: 51 / Avg: 62.96 / Max: 64

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 67.43 / Max: 71Min: 55 / Avg: 65.63 / Max: 69Min: 52 / Avg: 67.83 / Max: 71Min: 55 / Avg: 64.27 / Max: 67Min: 61 / Avg: 72 / Max: 75Min: 60 / Avg: 72.55 / Max: 76Min: 54 / Avg: 68.54 / Max: 72Min: 63 / Avg: 76.3 / Max: 80Min: 58 / Avg: 65.07 / Max: 68Min: 54 / Avg: 67.84 / Max: 72Min: 44 / Avg: 57.8 / Max: 61Min: 51 / Avg: 64.68 / Max: 68

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601428425670Min: 53 / Avg: 61.9 / Max: 65Min: 49 / Avg: 58.83 / Max: 62Min: 54 / Avg: 63.41 / Max: 66Min: 55 / Avg: 59.88 / Max: 61Min: 62 / Avg: 67.39 / Max: 69Min: 62 / Avg: 68.23 / Max: 70Min: 57 / Avg: 63.2 / Max: 65Min: 64 / Avg: 69.1 / Max: 71Min: 57 / Avg: 62.82 / Max: 66Min: 54 / Avg: 61.61 / Max: 65Min: 45 / Avg: 53.68 / Max: 57Min: 52 / Avg: 60.2 / Max: 62

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 52 / Avg: 67.22 / Max: 70Min: 51 / Avg: 63.18 / Max: 66Min: 52 / Avg: 65.16 / Max: 67Min: 51 / Avg: 62.07 / Max: 65Min: 57 / Avg: 70.87 / Max: 74Min: 58 / Avg: 71.19 / Max: 74Min: 54 / Avg: 65.1 / Max: 67Min: 59 / Avg: 74.5 / Max: 78Min: 55 / Avg: 65.52 / Max: 69Min: 52 / Avg: 67.27 / Max: 71Min: 43 / Avg: 56.6 / Max: 58Min: 50 / Avg: 62.53 / Max: 64

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 64.2 / Max: 67Min: 48 / Avg: 61.83 / Max: 64Min: 53 / Avg: 65.58 / Max: 68Min: 54 / Avg: 61.23 / Max: 63Min: 61 / Avg: 69.76 / Max: 73Min: 60 / Avg: 70.44 / Max: 74Min: 54 / Avg: 65.75 / Max: 69Min: 63 / Avg: 72.56 / Max: 77Min: 57 / Avg: 64.26 / Max: 68Min: 54 / Avg: 64.35 / Max: 67Min: 43 / Avg: 53.87 / Max: 58Min: 51 / Avg: 62.5 / Max: 65

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601428425670Min: 52 / Avg: 66.2 / Max: 68Min: 52 / Avg: 61.22 / Max: 62Min: 50 / Avg: 59.53 / Max: 61Min: 52 / Avg: 60.27 / Max: 61Min: 58 / Avg: 68.5 / Max: 70Min: 59 / Avg: 69.6 / Max: 71Min: 54 / Avg: 61.99 / Max: 63Min: 61 / Avg: 72.28 / Max: 74Min: 55 / Avg: 67.64 / Max: 69Min: 52 / Avg: 67.08 / Max: 69Min: 43 / Avg: 54.18 / Max: 58Min: 50 / Avg: 59.91 / Max: 61

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 52 / Avg: 70.08 / Max: 72Min: 51 / Avg: 65.84 / Max: 67Min: 48 / Avg: 65.19 / Max: 69Min: 51 / Avg: 64.46 / Max: 66Min: 58 / Avg: 73.92 / Max: 76Min: 58 / Avg: 73.47 / Max: 76Min: 52 / Avg: 66.81 / Max: 70Min: 60 / Avg: 77.37 / Max: 79Min: 57 / Avg: 69.31 / Max: 71Min: 53 / Avg: 70.99 / Max: 73Min: 44 / Avg: 57.97 / Max: 59Min: 50 / Avg: 63.76 / Max: 66

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92GPU Temperature MonitorRTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601530456075Min: 53 / Avg: 66.6 / Max: 69Min: 55 / Avg: 63.85 / Max: 65Min: 53 / Avg: 64.03 / Max: 66Min: 54 / Avg: 62.08 / Max: 63Min: 62 / Avg: 72.16 / Max: 74Min: 61 / Avg: 71.26 / Max: 73Min: 56 / Avg: 65.14 / Max: 67Min: 63 / Avg: 74.5 / Max: 76Min: 58 / Avg: 67.84 / Max: 70Min: 54 / Avg: 67.01 / Max: 69Min: 43 / Avg: 54.88 / Max: 58Min: 51 / Avg: 62.71 / Max: 64

NAMD CUDA

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.04030.08060.12090.16120.2015SE +/- 0.00167, N = 15SE +/- 0.00032, N = 5SE +/- 0.00086, N = 5SE +/- 0.00089, N = 5SE +/- 0.00158, N = 5SE +/- 0.00059, N = 5SE +/- 0.00052, N = 5SE +/- 0.00168, N = 5SE +/- 0.00043, N = 5SE +/- 0.00109, N = 15SE +/- 0.00122, N = 8SE +/- 0.00096, N = 4SE +/- 0.00117, N = 40.131380.139040.151400.166660.146140.144080.166230.161450.148330.135500.141510.162810.17914

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: DoubleRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206080160240320400SE +/- 0.24, N = 3SE +/- 0.83, N = 3SE +/- 0.02, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 1.08, N = 3SE +/- 1.78, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.28, N = 3SE +/- 0.53, N = 3149.53263.99263.37309.02215.02155.57152.76303.67234.44122.90223.67377.59349.261. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060612182430SE +/- 0.136, N = 3SE +/- 0.010, N = 5SE +/- 0.016, N = 5SE +/- 0.031, N = 5SE +/- 0.013, N = 5SE +/- 0.021, N = 5SE +/- 0.022, N = 5SE +/- 0.025, N = 5SE +/- 0.017, N = 5SE +/- 0.010, N = 5SE +/- 0.004, N = 5SE +/- 0.096, N = 5SE +/- 0.040, N = 411.40417.66919.50122.24717.43614.75814.18222.28418.9949.27517.51623.35227.2221. (CXX) g++ options: -O3 -pthread

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20600.59831.19661.79492.39322.9915SE +/- 0.004, N = 3SE +/- 0.001, N = 10SE +/- 0.001, N = 9SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.016, N = 10SE +/- 0.001, N = 101.5612.0912.0702.0821.9001.6901.6882.0952.0741.4852.0902.5182.6591. (CXX) g++ options: -rdynamic

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060510152025SE +/- 0.146254, N = 15SE +/- 0.020839, N = 15SE +/- 0.012692, N = 13SE +/- 0.043753, N = 15SE +/- 0.038362, N = 15SE +/- 0.054471, N = 15SE +/- 0.101653, N = 15SE +/- 0.009545, N = 14SE +/- 0.009750, N = 14SE +/- 0.039276, N = 15SE +/- 0.002752, N = 14SE +/- 0.251378, N = 15SE +/- 0.060602, N = 157.61600012.97600012.80700016.41420010.5250009.3110009.13500015.99100011.8310006.30500010.46400016.66200019.7763331. (CXX) g++ options: -O3 -march=native -fopenmp

RealSR-NCNN

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.071, N = 3SE +/- 0.053, N = 5SE +/- 0.084, N = 15SE +/- 0.050, N = 4SE +/- 0.040, N = 5SE +/- 0.085, N = 15SE +/- 0.044, N = 6SE +/- 0.034, N = 5SE +/- 0.021, N = 5SE +/- 0.034, N = 7SE +/- 0.051, N = 5SE +/- 0.070, N = 5SE +/- 0.046, N = 46.4288.84610.41911.5138.9267.8607.55711.3739.4425.8568.40011.18212.765

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206020406080100SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.39, N = 3SE +/- 0.32, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 334.4053.9963.6375.8454.2044.5343.3375.1159.5429.6750.0372.2085.65

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20601.31672.63343.95015.26686.5835SE +/- 0.006, N = 3SE +/- 0.056, N = 15SE +/- 0.034, N = 7SE +/- 0.005, N = 7SE +/- 0.005, N = 8SE +/- 0.030, N = 8SE +/- 0.011, N = 8SE +/- 0.012, N = 7SE +/- 0.006, N = 8SE +/- 0.006, N = 9SE +/- 0.003, N = 8SE +/- 0.006, N = 7SE +/- 0.007, N = 73.6204.5414.8905.3824.4373.9654.0135.3734.6723.4514.3075.2595.852

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060246810SE +/- 0.018, N = 3SE +/- 0.010, N = 7SE +/- 0.070, N = 15SE +/- 0.007, N = 7SE +/- 0.008, N = 8SE +/- 0.042, N = 15SE +/- 1.561, N = 15SE +/- 0.010, N = 7SE +/- 0.013, N = 7SE +/- 0.008, N = 9SE +/- 0.009, N = 8SE +/- 0.011, N = 6SE +/- 0.007, N = 63.3454.9745.6366.0814.6113.8516.8755.9394.9713.0164.2936.4496.7831. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.026, N = 3SE +/- 0.014, N = 6SE +/- 0.074, N = 15SE +/- 0.007, N = 5SE +/- 0.011, N = 7SE +/- 0.064, N = 15SE +/- 0.021, N = 6SE +/- 0.011, N = 6SE +/- 0.010, N = 8SE +/- 0.012, N = 7SE +/- 0.085, N = 8SE +/- 0.009, N = 54.5236.7907.5238.4426.2275.1388.3606.8284.0006.0309.7349.4011. (CXX) g++ options: -O3 -O2 -lpthread -ldl

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060100200300400500SE +/- 0.58, N = 3SE +/- 1.33, N = 3SE +/- 1.53, N = 3SE +/- 1.67, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 1.76, N = 3SE +/- 1.53, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.86, N = 3166240350380323247246378342141228305477

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 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 20603691215SE +/- 0.026, N = 3SE +/- 0.022, N = 6SE +/- 0.045, N = 6SE +/- 0.008, N = 6SE +/- 0.010, N = 7SE +/- 0.010, N = 8SE +/- 0.021, N = 8SE +/- 0.024, N = 6SE +/- 0.011, N = 7SE +/- 0.007, N = 8SE +/- 0.011, N = 7SE +/- 0.024, N = 5SE +/- 0.011, N = 54.3866.9687.0187.9915.7844.4644.7027.8906.2573.7675.9799.7638.9891. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CUDARTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206020406080100SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 322.1831.9251.2763.9250.6638.4938.7464.9551.6818.4728.9944.3574.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDARTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206070140210280350SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.53, N = 361.6385.48172.25301.61160.65152.86161.80308.95169.0051.4376.26128.50304.55

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDARTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060306090120150SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 341.8061.9996.99121.4196.2072.4573.36122.9497.2034.5954.2685.64140.64

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 2.61, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 5SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 311.6417.8228.5230.9725.7419.5219.9431.2526.589.7216.1024.3836.92

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060306090120150SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 336.4354.7591.19145.2383.4774.8179.03149.2888.1230.4648.1678.48150.10

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206020406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 2.53, N = 15SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 324.6241.9856.9765.2247.4236.0736.6364.4450.6720.3735.7158.2275.05

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060400800120016002000SE +/- 0.48, N = 3SE +/- 2.14, N = 3SE +/- 0.36, N = 3SE +/- 0.39, N = 3SE +/- 0.76, N = 3SE +/- 0.51, N = 3SE +/- 0.70, N = 3SE +/- 3.33, N = 3SE +/- 0.79, N = 3SE +/- 2.26, N = 3SE +/- 0.73, N = 3SE +/- 0.15, N = 3SE +/- 0.62, N = 3400.08549.791015.841790.07925.55916.09969.581844.76987.73336.99462.60863.871812.31

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDARTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 2060130260390520650SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.40, N = 3SE +/- 0.11, N = 3SE +/- 0.48, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 1.13, N = 3147.54217.78357.54544.98345.65285.52297.11556.87354.15120.35190.05319.41583.12

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 2070RTX 2080RTX 3090RTX 3070RTX 3060RTX 206050100150200250SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 356.7286.04134.86194.57128.99104.11109.02198.29134.5746.7576.96122.25208.09

113 Results Shown

GPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  OpenCL - Triad
ViennaCL
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Reduction
  OpenCL - Texture Read Bandwidth
cl-mem
cl-mem
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - Reduction
  OpenCL - Texture Read Bandwidth
cl-mem:
  Copy
  Write
ViennaCL:
  OpenCL BLAS - sCOPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - dCOPY
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dDOT
clpeak
clpeak
Mixbench:
  OpenCL - Double Precision
  OpenCL - Single Precision
  OpenCL - S3D
  OpenCL - FFT SP
  OpenCL - GEMM SGEMM_N
Mixbench:
  OpenCL - Double Precision
  OpenCL - Single Precision
SHOC Scalable HeterOgeneous Computing:
  OpenCL - S3D
  OpenCL - FFT SP
clpeak:
  Single-Precision Float
  Double-Precision Double
SHOC Scalable HeterOgeneous Computing
ViennaCL:
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TT
ViennaCL:
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-TT
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing
Mixbench:
  OpenCL - Integer
  Integer Compute INT
Mixbench
clpeak
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
LuxCoreRender OpenCL:
  DLSC
  Food
  LuxCore Benchmark
LuxCoreRender OpenCL
LuxCoreRender OpenCL
LeelaChessZero
GROMACS:
  Water Benchmark
 
GROMACS
FAHBench
OctaneBench
OctaneBench
Chaos Group V-RAY:
  NVIDIA CUDA GPU
  NVIDIA RTX GPU
RealSR-NCNN:
  GPU Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
NAMD CUDA
VkResample:
  2x - Double
  2x - Single
ArrayFire
FinanceBench
RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan
Betsy GPU Compressor:
  ETC1 - Highest
  ETC2 RGB - Highest
RedShift Demo
Rodinia
Blender:
  BMW27 - CUDA
  Classroom - CUDA
  Fishy Cat - CUDA
  BMW27 - NVIDIA OptiX
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - CUDA
  Pabellon Barcelona - NVIDIA OptiX