NVIDIA GPU Compute

Some benchmarks 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 2009116-FI-GPUCOMPUT55
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 950
September 10 2020
  1 Hour, 38 Minutes
GTX 960
September 10 2020
  1 Hour, 43 Minutes
GTX 970
September 06 2020
  2 Hours, 9 Minutes
GTX 980
September 07 2020
  1 Hour, 34 Minutes
GTX 980 Ti
September 07 2020
  1 Hour, 29 Minutes
GTX TITAN X
September 09 2020
  1 Hour, 28 Minutes
GTX 1050 Ti
September 10 2020
  1 Hour, 48 Minutes
GTX 1060
September 08 2020
  1 Hour, 32 Minutes
GTX 1070
September 07 2020
  1 Hour, 26 Minutes
GTX 1070 Ti
September 06 2020
  1 Hour, 31 Minutes
GTX 1080
September 07 2020
  1 Hour, 23 Minutes
GTX 1650
September 09 2020
  1 Hour, 45 Minutes
GTX 1650 SUPER
September 08 2020
  1 Hour, 35 Minutes
GTX 1660
September 09 2020
  1 Hour, 47 Minutes
GTX 1660 SUPER
September 07 2020
  1 Hour, 30 Minutes
GTX 1660 Ti
September 09 2020
  1 Hour, 31 Minutes
RTX 2060
September 08 2020
  1 Hour, 42 Minutes
RTX 2060 SUPER
September 09 2020
  1 Hour, 25 Minutes
RTX 2070
September 09 2020
  1 Hour, 25 Minutes
RTX 2070 SUPER
September 08 2020
  1 Hour, 26 Minutes
RTX 2080
September 08 2020
  1 Hour, 25 Minutes
RTX 2080 SUPER
September 08 2020
  1 Hour, 39 Minutes
RTX 2080 Ti
September 07 2020
  1 Hour, 24 Minutes
TITAN RTX
September 06 2020
  1 Hour, 24 Minutes
Invert Behavior (Only Show Selected Data)
  1 Hour, 34 Minutes

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NVIDIA GPU ComputeOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600eVGA NVIDIA GeForce GTX 950 2GB (1202/3304MHz)eVGA NVIDIA GeForce GTX 960 2GB (1277/3505MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)eVGA NVIDIA GeForce GTX 1050 Ti 4GB (1354/3504MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz)ASUS NVIDIA GeForce GTX 1650 SUPER 4GB (615/405MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (450/405MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (420/405MHz)NVIDIA GM206 HD AudioNVIDIA GM204 HD AudioNVIDIA GM200 HD AudioNVIDIA GP107GL HD AudioNVIDIA GP106 HD AudioNVIDIA GP104 HD AudioNVIDIA Device 10faNVIDIA TU116 HD AudioNVIDIA TU106 HD AudioNVIDIA TU104 HD AudioNVIDIA TU102 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GPU Compute BenchmarksSystem Logs- --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,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 - CPU Microcode: 0x8701013- GTX 950: GPU Compute Cores: 768- GTX 960: GPU Compute Cores: 1024- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX 980 Ti: GPU Compute Cores: 2816- GTX TITAN X: GPU Compute Cores: 3072- GTX 1050 Ti: GPU Compute Cores: 768- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1650: GPU Compute Cores: 896- GTX 1650 SUPER: GPU Compute Cores: 1280- GTX 1660: GPU Compute Cores: 1408- GTX 1660 SUPER: GPU Compute Cores: 1408- GTX 1660 Ti: GPU Compute Cores: 1536- RTX 2060: GPU Compute Cores: 1920- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2070: GPU Compute Cores: 2304- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2080: GPU Compute Cores: 2944- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- Python 3.8.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

GTX 950GTX 960GTX 970GTX 980GTX 980 TiGTX TITAN XGTX 1050 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXLogarithmic Result OverviewPhoronix Test SuiteclpeakMandelGPUOctaneBenchcl-memFAHBenchLuxCoreRender OpenCLArrayFirePlaidMLGROMACSDarktableNAMD CUDARodiniaFinanceBenchLeelaChessZeroMixbenchViennaCLDarmstadt Automotive Parallel Heterogeneous Suite

NVIDIA GPU Computelczero: OpenCLgromacs-gpu: Water Benchmarkdaphne: NVIDIA CUDA - Points2Imageoctanebench: Total Scorefahbench: daphne: OpenCL - Points2Imageluxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: DLSCrodinia: NVIDIA CUDA GPU Myocyteplaidml: No - Inference - DenseNet 201 - OpenCLrodinia: OpenCL Myocytedaphne: OpenCL - NDT Mappingluxcorerender-cl: Rainbow Colors and Prismplaidml: No - Inference - VGG19 - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - Inception V3 - OpenCLclpeak: Double-Precision Doubledaphne: NVIDIA CUDA - NDT Mappingarrayfire: BLAS OpenCLdaphne: NVIDIA CUDA - Euclidean Clusternamd-cuda: ATPase Simulation - 327,506 Atomsplaidml: No - Inference - IMDB LSTM - OpenCLdaphne: OpenCL - Euclidean Clusterrodinia: OpenCL Particle Filtercl-mem: Readcl-mem: Writecl-mem: Copymandelgpu: GPUplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLfinancebench: Monte-Carlo OpenCLdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLarrayfire: Conjugate Gradient OpenCLclpeak: Integer Compute INTviennacl: OpenCL LU Factorizationclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatmixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Half Precisionmixbench: OpenCL - Single Precisionmixbench: OpenCL - Integerneatbench: GPUmixbench: OpenCL - Double Precisiondarktable: Server Rack - OpenCLfinancebench: Black-Scholes OpenCLGTX 950GTX 960GTX 970GTX 980GTX 980 TiGTX TITAN XGTX 1050 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX19821.80251.15504552.694111764.7088662030.390.810.9851.96541.9745.538294.133.221000000000100000000069.871019.48980.330.59513111.251591.6423.83490.384.978.561530230.3508.66408.284.91912.3924.3073.6848.349593.7647.286190.181974.962149.60625.559.5469.780.19127.81886724302.15458.90322962.304111773.3549314160.440.971.1552.33445.5445.509308.282.841000000000213.4992.411303.04982.720.50785143.151778.0118.40981.577.772.879940246.7609.16434.074.91112.4004.2813.6728.968789.9952.920682.232604.972779.32828.809.5393.010.19119.51320051632.99596.20086490.846011485.5041370450.671.461.7356.49873.8948.920324.704.8151.1473.2564.5397.83137.482457.73979.330.36071203.081928.8813.185144.6136.3125.9113624502.0910.91716.82841.1885814.3114.6102.8625.4001145.1460.1979144.563874.984141.791215.7515.4137.200.16314.19662653.271110.814321102.366811735.8414852980.781.631.9359.47482.2150.553333.525.1156.6080.4772.21109.50159.722826.161019.040.33566228.461976.4111.774165.3159.1145.0121139566.81053.49810.50749.2880023.7644.5432.7304.9041306.5161.9362165.294472.774683.961389.9017.3159.330.16212.10182833.857143.521432115.775311829.8646244980.922.002.3664.75899.8455.174339.216.5971.1889.2890.74138.33197.232438.97976.750.29138267.881908.8110.071266.0245.9217.8148357386.11290.481029.36660.5482493.0173.2271.3983.6221612.5264.5358264.745512.895844.901711.03197.440.1649.59690664.081154.420819123.189711498.2154879900.982.092.5063.603105.3953.832339.756.4775.7393.0397.40148.84219.423699.51956.540.27103294.101953.259.155243.5237.6214.4162891036.91369.201106.29624.17574312.3884.3243.6993.9171757.8165.9450246.436121.766463.101911.01221.880.1899.32325652.08455.43259361.588911780.6754873320.460.961.1343.28349.7139.053305.073.9829.4257.1337.1360.9284.601639.081219.990.53233130.661759.0421.26795.291.287.975842143.4594.41481.311214.99400112.3074.2943.6777.775719.4651.338192.342331.182379.0184.55667.9042.392561.98771.5384.780.19224.36220059333.18191.732906102.268311766.2918261270.651.531.7842.70379.1338.114333.475.4156.6283.5271.78108.56150.682856.381253.430.30957227.232076.4812.002154.4148.1138.5130290433.8987.07775.73894.0848653.5173.1691.3015.0001275.1261.6530147.664110.714167.41151.631187.7275.774355.281354.14150.480.12413.34097504.052132.839354139.497413045.8573943510.922.122.4642.955108.4638.003345.446.6279.12103.7999.88151.71223.602905.881231.440.24022314.832243.108.205206.2199.5183.3184077179.71392.461052.64697.5462912.7092.9741.1124.0771695.7966.2068197.206093.026174.80225.051764.63113.326476.922019.0821.5224.820.1178.96899474.259141.667655137.139313281.7676294190.982.242.5547.722108.2342.081349.125.3892.8799.64116.89159.43242.704304.761204.770.22300331.842223.787.791206.2198.2184.1194875210.81485.781070.90754.2840122.7412.9981.1663.8142076.4569.1838198.186788.406647.94240.921887.61121.427018.902157.31241.990.1177.298126624.634148.472009151.567913141.7294623900.992.132.4543.197112.2837.998348.294.23103.8399.82131.34190.14298.465091.861218.560.22426398.822345.386.457229.6225.6207.4231826397.81665.721154.13921.6841522.5462.9741.0953.3872430.5570.6880223.148218.628182.72296.092326.09149.358520.972655.5824.6296.660.1116.98131013.25329148.73980909177.41021875.813512203.3045554620.671.511.7339.89559.3733.715287.073.9342.3265.5953.3580.68109.20517.141128.391415.670.34503201.271983.6717.823108.7104.499.2132266243.9814.50573.67895.43042912.4064.3293.6936.8082641.3862.9607105.312673.643474.1792.373108.846948.333441.363466.7212.891.770.18524.14528551514.12229380.30781584192.36783982.052112256.6632071580.811.361.6139.93773.1733.686313.802.7361.8577.1077.98115.70157.98534.851607.771456.660.26211269.172143.5912.487167.0145.8143.8186025762.61080.43740.171087.1681265.0704.7562.9034.4454128.3967.9330156.864123.664993.92133.884492.3210057.464943.064975.18132.750.12116.57778558954.41229594.884992536119.105265125.615813590.0313506140.992.202.5640.06687.2534.758314.715.5867.7497.9485.46120.84168.56552.681712.371452.410.24290289.422174.7211.893163.9157.3145.9193795979.51199.66858.90606.6998833.1733.0971.1954.5414338.6767.8200158.154543.645313.33141.364753.1110568.465259.295303.5118.6141.250.11315.25973664.62929306.127505907135.657134135.607313933.2739481651.092.262.6339.905100.5134.127320.975.6168.81111.3986.61135.31172.49563.131765.011466.240.23177298.772175.9611.482296.6240.7240.2200846066.41380.681080.11594.4380042.6073.0301.0822.6424280.5568.1532276.354440.235440.74144.144866.6110862.905462.595432.40144.300.10415.27177334.78929450.462327902133.345138.557813606.9629129931.072.112.5140.03898.9934.412321.775.0173.38108.0692.41143.22184.34557.201877.321465.390.22800313.082223.0710.847251.2223.9211.1210891296.21427.431038.86654.8158652.7573.0911.1663.0684734.3670.0287234.914778.235888.78157.145271.3411787.375821.195803.63155.780.10614.385102905.41630937.282623163166.098571178.471213398.0602704681.172.793.3439.999125.2334.902332.007.9788.95125.33112.29172.73232.17570.772321.091468.390.20635390.072263.128.836297.4258.7239.4252924048.71719.711285.58528.3677442.0922.8350.8442.6595356.8473.3091276.945417.557339.39196.306539.8114646.467222.287275.3328.3194.800.10412.555123355.78930663.638303013206.078943200.766413476.3433005331.333.544.2040.224146.9034.555338.0811.32101.79154.81128.91204.35261.89575.452622.041475.240.20057438.262326.887.914396.8341.3288.0281931310.02012.371585.76367.0220031.7942.7630.7772.0836930.2172.5010368.947034.778264.66221.807348.9116507.068159.158218.02222.150.10110.498123115.86529917.295727193207.538286199.871913499.1668926941.303.494.1740.499147.8735.514339.1210.98104.21153.03132.03202.42267.79579.362680.691462.960.20362444.842309.017.767396.9328.5284.4284631717.41996.601575.65377.7225001.7762.7440.7722.0977133.7772.5699369.307265.918435.23226.217540.2816838.728357.968362.8635.8226.650.10210.254147306.24930409.064764221221.193748221.728413076.8598627931.903.694.4440.085149.6934.779338.6510.21123.03154.74155.42221.49308.86589.633047.421444.270.19625500.262264.376.837396.8322.9292.1323061985.42287.031712.75400.3836251.7802.8040.8212.0718484.4174.4473369.628540.739754.99260.978722.2819501.679630.839696.38259.110.0988.263154426.53629707.441489825224.387211235.534113228.1409915581.873.554.3240.487151.9935.085341.849.24130.23154.35164.78243.51345.11599.643358.201441.290.19265544.542245.826.196396.5338.1290.0345359936.42322.391726.60406.0421221.7422.7940.8182.0759141.2374.7298369.239161.1810845.36291.569732.4821764.4010812.5210930.5638.3290.130.0997.657175016.57230214.755635634234.066446248.011812974.4657937611.933.624.3840.012159.7934.207344.199.14145.57158.82183.53265.91376.32599.703673.831448.460.19329588.042326.555.718437.6352.9301.7374422420.62432.731815.92413.8451271.6802.7640.8091.90010266.7276.1016405.9210264.3811685.95315.6110562.9923628.7811758.6511752.11315.030.0996.811218397.13628816.817836895310.814399290.724913045.0309239412.234.755.6740.352212.1135.235350.3712.33187.92187.73237.29353.54522.22606.754836.621436.620.19082753.752268.234.414545.7449.5324.0448915216.62751.852406.16319.9141271.4922.7550.7591.67713629.3775.7871506.9013536.2514734.03409.4614103.7931492.2416061.0916323.94436.810.1006.020224247.11729401.514070221324.546769292.159312538.2457870812.234.995.9840.373227.3035.767343.6112.73196.63198.37248.79355.85548.26590.635040.581434.170.19195775.692279.144.250567.7491.7322.7480798376.62856.832544.67277.2321211.4912.7920.7671.66613783.9376.6410530.7914178.8515103.61413.6614426.1132084.7915032.4716979.9948.1454.370.1035.701OpenBenchmarking.org

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: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti5K10K15K20K25KSE +/- 20.50, N = 3SE +/- 55.16, N = 3SE +/- 79.08, N = 3SE +/- 77.45, N = 3SE +/- 28.58, N = 3SE +/- 70.73, N = 3SE +/- 61.94, N = 3SE +/- 64.75, N = 3SE +/- 27.94, N = 3SE +/- 28.99, N = 3SE +/- 43.89, N = 3SE +/- 36.50, N = 3SE +/- 10.44, N = 3SE +/- 16.29, N = 3SE +/- 56.77, N = 3SE +/- 54.30, N = 3SE +/- 3.38, N = 3SE +/- 19.16, N = 3SE +/- 6.17, N = 3SE +/- 57.21, N = 3SE +/- 85.75, N = 3SE +/- 28.32, N = 3SE +/- 2.73, N = 32242421839175011544214730123111233510290906682836265516324301982773373665895515131011266299479750593325651. (CXX) g++ options: -flto -pthread

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 BenchmarkTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti246810SE +/- 0.005, N = 3SE +/- 0.020, N = 2SE +/- 0.041, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 37.1177.1366.5726.5366.2495.8655.7895.4164.0813.8573.2712.9952.1541.8024.7894.6294.4124.1223.2534.6344.2594.0523.1812.0841. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Points2ImageTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 16507K14K21K28K35KSE +/- 203.08, N = 3SE +/- 496.68, N = 3SE +/- 273.74, N = 15SE +/- 430.26, N = 4SE +/- 401.47, N = 5SE +/- 471.75, N = 3SE +/- 226.31, N = 3SE +/- 339.25, N = 14SE +/- 392.98, N = 5SE +/- 284.42, N = 3SE +/- 269.28, N = 15SE +/- 220.88, N = 3SE +/- 329.31, N = 729401.5128816.8230214.7629707.4430409.0629917.3030663.6430937.2829450.4629306.1329594.8829380.3129148.741. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 4.00cTotal ScoreTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti70140210280350324.55310.81234.07224.39221.19207.54206.08166.10154.42143.52110.8196.2058.9051.16133.35135.66119.1192.3777.41148.47141.67132.8491.7355.43

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 2.3.2TITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti60120180240300SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 0.82, N = 3SE +/- 0.92, N = 3SE +/- 1.06, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.54, N = 3SE +/- 0.31, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.46, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3292.16290.72248.01235.53221.73199.87200.77178.47123.19115.78102.3790.8562.3052.69138.56135.61125.6282.0575.81151.57137.14139.50102.2761.59

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 36.56, N = 3SE +/- 70.09, N = 3SE +/- 64.15, N = 3SE +/- 56.40, N = 3SE +/- 194.60, N = 3SE +/- 35.39, N = 3SE +/- 146.98, N = 3SE +/- 87.49, N = 3SE +/- 57.16, N = 3SE +/- 62.20, N = 3SE +/- 75.04, N = 3SE +/- 123.30, N = 3SE +/- 85.88, N = 3SE +/- 66.71, N = 3SE +/- 35.36, N = 3SE +/- 16.13, N = 3SE +/- 28.64, N = 3SE +/- 155.29, N = 3SE +/- 175.10, N = 3SE +/- 90.00, N = 3SE +/- 112.38, N = 3SE +/- 180.15, N = 3SE +/- 136.54, N = 3SE +/- 128.29, N = 312538.2513045.0312974.4713228.1413076.8613499.1713476.3413398.0611498.2211829.8611735.8411485.5011773.3511764.7113606.9613933.2713590.0312256.6612203.3013141.7313281.7713045.8611766.2911780.681. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: FoodTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti0.50181.00361.50542.00722.509SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 +/- 0.00, N = 32.232.231.931.871.901.301.331.170.980.920.780.670.440.391.071.090.990.810.670.990.980.920.650.46

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.994.753.623.553.693.493.542.792.092.001.631.460.970.812.112.262.201.361.512.132.242.121.530.96

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1.34552.6914.03655.3826.7275SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 45.985.674.384.324.444.174.203.342.502.361.931.731.150.982.512.632.561.611.732.452.552.461.781.13

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1428425670SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 340.3740.3540.0140.4940.0940.5040.2240.0063.6064.7659.4756.5052.3351.9740.0439.9140.0739.9439.9043.2047.7242.9642.7043.281. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti50100150200250SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3227.30212.11159.79151.99149.69147.87146.90125.23105.3999.8482.2173.8945.5441.9798.99100.5187.2573.1759.37112.28108.23108.4679.1349.71

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 MyocyteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 335.7735.2434.2135.0934.7835.5134.5634.9053.8355.1750.5548.9245.5145.5434.4134.1334.7633.6933.7238.0042.0838.0038.1139.051. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti80160240320400SE +/- 1.41, N = 3SE +/- 0.87, N = 3SE +/- 0.33, N = 3SE +/- 1.78, N = 3SE +/- 0.37, N = 3SE +/- 2.26, N = 3SE +/- 1.17, N = 3SE +/- 0.47, N = 3SE +/- 1.91, N = 3SE +/- 2.08, N = 3SE +/- 0.61, N = 3SE +/- 0.82, N = 3SE +/- 2.15, N = 3SE +/- 1.45, N = 3SE +/- 2.24, N = 3SE +/- 2.54, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 1.36, N = 3SE +/- 1.38, N = 3SE +/- 2.01, N = 3SE +/- 2.24, N = 3SE +/- 0.67, N = 3SE +/- 1.02, N = 3343.61350.37344.19341.84338.65339.12338.08332.00339.75339.21333.52324.70308.28294.13321.77320.97314.71313.80287.07348.29349.12345.44333.47305.071. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: Rainbow Colors and PrismTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3691215SE +/- 0.18, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.7312.339.149.2410.2110.9811.327.976.476.595.114.812.843.225.015.615.582.733.934.235.386.625.413.98

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti200M400M600M800M1000MSE +/- 0.42, N = 4SE +/- 0.60, N = 3SE +/- 0.36, N = 3SE +/- 0.62, N = 3SE +/- 0.24, N = 3SE +/- 0.39, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 1.11, N = 3SE +/- 1.20, N = 3SE +/- 0.61, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3196.63187.92145.57130.23123.03104.21101.7988.9575.7371.1856.6051.141000000000.001000000000.0073.3868.8167.7461.8542.32103.8392.8779.1256.6229.42

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti4080120160200SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3198.37187.73158.82154.35154.74153.03154.81125.3393.0389.2880.4773.25108.06111.3997.9477.1065.5999.8299.64103.7983.5257.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti200M400M600M800M1000MSE +/- 0.54, N = 4SE +/- 0.64, N = 3SE +/- 0.37, N = 3SE +/- 0.81, N = 3SE +/- 0.33, N = 3SE +/- 0.51, N = 3SE +/- 0.38, N = 3SE +/- 0.40, N = 3SE +/- 0.47, N = 3SE +/- 0.87, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3248.79237.29183.53164.78155.42132.03128.91112.2997.4090.7472.2164.531000000000.0092.4186.6185.4677.9853.35131.34116.8999.8871.7837.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti80160240320400SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.38, N = 4SE +/- 0.40, N = 4SE +/- 0.32, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.62, N = 3SE +/- 0.02, N = 3SE +/- 110.03, N = 12SE +/- 0.31, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3355.85353.54265.91243.51221.49202.42204.35172.73148.84138.33109.5097.83213.49143.22135.31120.84115.7080.68190.14159.43151.71108.5660.92

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 DoubleTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti120240360480600SE +/- 1.32, N = 3SE +/- 1.30, N = 3SE +/- 0.03, N = 3SE +/- 0.91, N = 3SE +/- 0.00, N = 3SE +/- 0.71, N = 3SE +/- 0.69, N = 3SE +/- 0.58, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.27, N = 3SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 4SE +/- 0.23, N = 3SE +/- 0.14, N = 4548.26522.22376.32345.11308.86267.79261.89232.17219.42197.23159.72137.4892.4169.87184.34172.49168.56157.98109.20298.46242.70223.60150.6884.601. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: NDT MappingTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650130260390520650SE +/- 5.64, N = 3SE +/- 2.73, N = 3SE +/- 1.09, N = 3SE +/- 1.76, N = 3SE +/- 0.12, N = 3SE +/- 2.81, N = 3SE +/- 0.39, N = 3SE +/- 0.63, N = 3SE +/- 3.12, N = 3SE +/- 4.39, N = 3SE +/- 0.21, N = 3SE +/- 1.45, N = 3SE +/- 0.81, N = 3590.63606.75599.70599.64589.63579.36575.45570.77557.20563.13552.68534.85517.141. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti11002200330044005500SE +/- 17.72, N = 4SE +/- 13.92, N = 4SE +/- 9.77, N = 4SE +/- 10.88, N = 4SE +/- 1.43, N = 4SE +/- 11.45, N = 4SE +/- 4.79, N = 4SE +/- 5.03, N = 4SE +/- 10.31, N = 4SE +/- 8.83, N = 4SE +/- 10.36, N = 4SE +/- 1.45, N = 4SE +/- 0.80, N = 4SE +/- 1.10, N = 4SE +/- 3.15, N = 4SE +/- 3.01, N = 4SE +/- 1.22, N = 4SE +/- 1.69, N = 4SE +/- 1.92, N = 4SE +/- 10.96, N = 4SE +/- 1.17, N = 4SE +/- 4.04, N = 4SE +/- 2.50, N = 4SE +/- 1.56, N = 45040.584836.623673.833358.203047.422680.692622.042321.093699.512438.972826.162457.731303.041019.481877.321765.011712.371607.771128.395091.864304.762905.882856.381639.081. (CXX) g++ options: -rdynamic

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti30060090012001500SE +/- 2.28, N = 4SE +/- 0.89, N = 4SE +/- 2.29, N = 4SE +/- 2.02, N = 4SE +/- 2.13, N = 4SE +/- 1.75, N = 4SE +/- 1.47, N = 4SE +/- 2.06, N = 4SE +/- 0.86, N = 3SE +/- 15.93, N = 3SE +/- 1.10, N = 3SE +/- 2.99, N = 3SE +/- 1.80, N = 3SE +/- 13.18, N = 3SE +/- 1.42, N = 4SE +/- 0.96, N = 4SE +/- 2.01, N = 4SE +/- 2.43, N = 4SE +/- 0.94, N = 4SE +/- 2.36, N = 3SE +/- 7.67, N = 3SE +/- 4.73, N = 3SE +/- 8.38, N = 3SE +/- 6.85, N = 31434.171436.621448.461441.291444.271462.961475.241468.39956.54976.751019.04979.33982.72980.331465.391466.241452.411456.661415.671218.561204.771231.441253.431219.991. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 AtomsTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti0.13390.26780.40170.53560.6695SE +/- 0.00134, N = 4SE +/- 0.00046, N = 4SE +/- 0.00097, N = 4SE +/- 0.00054, N = 4SE +/- 0.00025, N = 4SE +/- 0.00191, N = 4SE +/- 0.00060, N = 4SE +/- 0.00144, N = 4SE +/- 0.00182, N = 4SE +/- 0.00163, N = 4SE +/- 0.00291, N = 3SE +/- 0.00170, N = 3SE +/- 0.00332, N = 3SE +/- 0.00145, N = 3SE +/- 0.00217, N = 4SE +/- 0.00026, N = 4SE +/- 0.00142, N = 4SE +/- 0.00061, N = 4SE +/- 0.00088, N = 3SE +/- 0.00174, N = 4SE +/- 0.00101, N = 4SE +/- 0.00276, N = 4SE +/- 0.00077, N = 3SE +/- 0.00392, N = 30.191950.190820.193290.192650.196250.203620.200570.206350.271030.291380.335660.360710.507850.595130.228000.231770.242900.262110.345030.224260.223000.240220.309570.53233

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti2004006008001000SE +/- 0.80, N = 5SE +/- 1.41, N = 5SE +/- 0.50, N = 5SE +/- 0.58, N = 5SE +/- 0.28, N = 5SE +/- 0.29, N = 5SE +/- 0.28, N = 5SE +/- 0.19, N = 4SE +/- 0.30, N = 4SE +/- 0.57, N = 4SE +/- 0.41, N = 4SE +/- 0.11, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 4SE +/- 0.17, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.34, N = 4SE +/- 0.35, N = 4SE +/- 0.07, N = 4SE +/- 0.44, N = 4SE +/- 0.09, N = 4SE +/- 0.09, N = 3775.69753.75588.04544.54500.26444.84438.26390.07294.10267.88228.46203.08143.15111.25313.08298.77289.42269.17201.27398.82331.84314.83227.23130.66

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti5001000150020002500SE +/- 9.59, N = 5SE +/- 5.93, N = 5SE +/- 6.61, N = 5SE +/- 4.22, N = 5SE +/- 4.72, N = 5SE +/- 9.09, N = 5SE +/- 4.74, N = 5SE +/- 6.16, N = 5SE +/- 3.18, N = 4SE +/- 5.50, N = 4SE +/- 2.91, N = 5SE +/- 1.83, N = 4SE +/- 2.79, N = 4SE +/- 1.01, N = 4SE +/- 6.33, N = 5SE +/- 3.67, N = 5SE +/- 9.93, N = 5SE +/- 1.34, N = 5SE +/- 8.11, N = 4SE +/- 5.86, N = 5SE +/- 0.67, N = 5SE +/- 7.62, N = 5SE +/- 3.33, N = 5SE +/- 6.06, N = 42279.142268.232326.552245.822264.372309.012326.882263.121953.251908.811976.411928.881778.011591.642223.072175.962174.722143.591983.672345.382223.782243.102076.481759.041. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 FilterTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti612182430SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.006, N = 7SE +/- 0.008, N = 7SE +/- 0.011, N = 6SE +/- 0.005, N = 6SE +/- 0.008, N = 6SE +/- 0.004, N = 5SE +/- 0.038, N = 5SE +/- 0.092, N = 5SE +/- 0.058, N = 4SE +/- 0.026, N = 4SE +/- 0.055, N = 3SE +/- 0.028, N = 3SE +/- 0.016, N = 5SE +/- 0.009, N = 5SE +/- 0.015, N = 4SE +/- 0.021, N = 4SE +/- 0.004, N = 3SE +/- 0.018, N = 6SE +/- 0.006, N = 6SE +/- 0.019, N = 6SE +/- 0.012, N = 4SE +/- 0.027, N = 34.2504.4145.7186.1966.8377.7677.9148.8369.15510.07111.77413.18518.40923.83410.84711.48211.89312.48717.8236.4577.7918.20512.00221.2671. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: ReadTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti120240360480600SE +/- 0.13, N = 9SE +/- 0.13, N = 8SE +/- 0.11, N = 8SE +/- 0.42, N = 8SE +/- 0.09, N = 8SE +/- 0.10, N = 8SE +/- 0.13, N = 8SE +/- 0.08, N = 7SE +/- 0.20, N = 6SE +/- 0.17, N = 6SE +/- 0.08, N = 5SE +/- 0.02, N = 4SE +/- 0.80, N = 2SE +/- 0.00, N = 3SE +/- 0.07, N = 6SE +/- 0.07, N = 7SE +/- 0.02, N = 5SE +/- 0.04, N = 5SE +/- 0.04, N = 4SE +/- 0.08, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 5SE +/- 0.00, N = 3567.7545.7437.6396.5396.8396.9396.8297.4243.5266.0165.3144.681.590.3251.2296.6163.9167.0108.7229.6206.2206.2154.495.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti110220330440550SE +/- 0.97, N = 9SE +/- 0.21, N = 8SE +/- 0.27, N = 8SE +/- 0.51, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.46, N = 7SE +/- 0.08, N = 6SE +/- 0.14, N = 6SE +/- 0.20, N = 5SE +/- 0.15, N = 4SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 6SE +/- 0.36, N = 7SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 4SE +/- 0.09, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 5SE +/- 0.03, N = 3491.7449.5352.9338.1322.9328.5341.3258.7237.6245.9159.1136.377.784.9223.9240.7157.3145.8104.4225.6198.2199.5148.191.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti70140210280350SE +/- 0.08, N = 9SE +/- 0.10, N = 8SE +/- 0.05, N = 8SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.09, N = 8SE +/- 0.06, N = 8SE +/- 0.06, N = 7SE +/- 0.11, N = 6SE +/- 0.07, N = 6SE +/- 0.02, N = 5SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 6SE +/- 0.05, N = 7SE +/- 0.17, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.02, N = 5SE +/- 0.00, N = 3322.7324.0301.7290.0292.1284.4288.0239.4214.4217.8145.0125.972.878.5211.1240.2145.9143.899.2207.4184.1183.3138.587.91. (CC) gcc options: -O2 -flto -lOpenCL

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti100M200M300M400M500MSE +/- 2829613.77, N = 10SE +/- 2765042.11, N = 10SE +/- 2703218.20, N = 9SE +/- 1245853.73, N = 9SE +/- 1663935.40, N = 9SE +/- 2064512.42, N = 8SE +/- 1074135.38, N = 8SE +/- 1119740.36, N = 8SE +/- 479054.57, N = 6SE +/- 353641.55, N = 6SE +/- 4075144.18, N = 15SE +/- 113731.50, N = 5SE +/- 68943.82, N = 4SE +/- 40239.48, N = 3SE +/- 340263.98, N = 7SE +/- 173522.04, N = 7SE +/- 481764.73, N = 7SE +/- 421595.14, N = 7SE +/- 92918.17, N = 6SE +/- 528438.95, N = 8SE +/- 459096.61, N = 7SE +/- 327094.24, N = 7SE +/- 339240.54, N = 6SE +/- 67025.37, N = 4480798376.6448915216.6374422420.6345359936.4323061985.4284631717.4281931310.0252924048.7162891036.9148357386.1121139566.8113624502.079940246.761530230.3210891296.2200846066.4193795979.5186025762.6132266243.9231826397.8194875210.8184077179.7130290433.875842143.41. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti6001200180024003000SE +/- 1.27, N = 8SE +/- 1.82, N = 7SE +/- 6.26, N = 8SE +/- 2.80, N = 7SE +/- 2.51, N = 8SE +/- 3.47, N = 8SE +/- 3.83, N = 8SE +/- 0.92, N = 7SE +/- 3.21, N = 7SE +/- 2.34, N = 5SE +/- 0.78, N = 6SE +/- 0.24, N = 6SE +/- 0.57, N = 6SE +/- 0.31, N = 5SE +/- 1.12, N = 7SE +/- 0.83, N = 7SE +/- 1.27, N = 7SE +/- 0.88, N = 6SE +/- 0.63, N = 7SE +/- 1.79, N = 7SE +/- 0.31, N = 7SE +/- 3.20, N = 7SE +/- 2.10, N = 6SE +/- 0.93, N = 62856.832751.852432.732322.392287.031996.602012.371719.711369.201290.481053.49910.91609.16508.661427.431380.681199.661080.43814.501665.721485.781392.46987.07594.41

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti5001000150020002500SE +/- 2.36, N = 8SE +/- 1.58, N = 8SE +/- 1.80, N = 9SE +/- 1.77, N = 8SE +/- 1.66, N = 8SE +/- 1.79, N = 8SE +/- 1.35, N = 8SE +/- 2.01, N = 8SE +/- 0.79, N = 8SE +/- 0.66, N = 8SE +/- 0.69, N = 7SE +/- 0.28, N = 7SE +/- 0.05, N = 6SE +/- 0.17, N = 6SE +/- 0.87, N = 8SE +/- 1.11, N = 8SE +/- 0.61, N = 7SE +/- 0.61, N = 7SE +/- 0.31, N = 7SE +/- 0.60, N = 8SE +/- 0.27, N = 8SE +/- 1.14, N = 8SE +/- 0.68, N = 7SE +/- 0.34, N = 62544.672406.161815.921726.601712.751575.651585.761285.581106.291029.36810.50716.82434.07408.281038.861080.11858.90740.17573.671154.131070.901052.64775.73481.31

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti30060090012001500SE +/- 1.197236, N = 8SE +/- 0.595119, N = 8SE +/- 0.455030, N = 8SE +/- 0.614932, N = 8SE +/- 0.343146, N = 8SE +/- 0.935750, N = 8SE +/- 1.739449, N = 8SE +/- 1.146962, N = 8SE +/- 0.570026, N = 8SE +/- 0.287953, N = 8SE +/- 0.367985, N = 8SE +/- 1.034930, N = 7SE +/- 0.042376, N = 9SE +/- 0.024977, N = 9SE +/- 0.519549, N = 8SE +/- 0.488651, N = 8SE +/- 0.790748, N = 8SE +/- 0.533801, N = 7SE +/- 2.023658, N = 7SE +/- 0.481963, N = 7SE +/- 0.217923, N = 8SE +/- 0.409086, N = 7SE +/- 0.445319, N = 7SE +/- 0.754451, N = 7277.232121319.914127413.845127406.042122400.383625377.722500367.022003528.367744624.175743660.548249749.288002841.1885814.9110004.919000654.815865594.438004606.6998831087.168126895.430429921.684152754.284012697.546291894.0848651214.9940011. (CXX) g++ options: -O3 -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 3.0.1Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3691215SE +/- 0.008, N = 9SE +/- 0.007, N = 10SE +/- 0.006, N = 10SE +/- 0.003, N = 10SE +/- 0.009, N = 10SE +/- 0.007, N = 10SE +/- 0.007, N = 10SE +/- 0.004, N = 9SE +/- 0.035, N = 4SE +/- 0.013, N = 8SE +/- 0.014, N = 8SE +/- 0.014, N = 7SE +/- 0.046, N = 4SE +/- 0.031, N = 4SE +/- 0.006, N = 9SE +/- 0.010, N = 9SE +/- 0.007, N = 8SE +/- 0.027, N = 7SE +/- 0.022, N = 4SE +/- 0.006, N = 9SE +/- 0.012, N = 8SE +/- 0.009, N = 9SE +/- 0.012, N = 8SE +/- 0.042, N = 41.4911.4921.6801.7421.7801.7761.7942.09212.3883.0173.7644.31112.40012.3922.7572.6073.1735.07012.4062.5462.7412.7093.51712.307

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1.07012.14023.21034.28045.3505SE +/- 0.011, N = 8SE +/- 0.009, N = 9SE +/- 0.014, N = 9SE +/- 0.019, N = 8SE +/- 0.009, N = 8SE +/- 0.009, N = 9SE +/- 0.015, N = 9SE +/- 0.014, N = 8SE +/- 0.019, N = 7SE +/- 0.012, N = 8SE +/- 0.023, N = 7SE +/- 0.022, N = 7SE +/- 0.023, N = 7SE +/- 0.011, N = 7SE +/- 0.012, N = 8SE +/- 0.011, N = 8SE +/- 0.012, N = 8SE +/- 0.023, N = 7SE +/- 0.018, N = 7SE +/- 0.011, N = 8SE +/- 0.016, N = 8SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.014, N = 72.7922.7552.7642.7942.8042.7442.7632.8354.3243.2274.5434.6104.2814.3073.0913.0303.0974.7564.3292.9742.9982.9743.1694.294

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti0.83231.66462.49693.32924.1615SE +/- 0.002, N = 11SE +/- 0.002, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.002, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.008, N = 7SE +/- 0.002, N = 10SE +/- 0.004, N = 8SE +/- 0.017, N = 8SE +/- 0.009, N = 8SE +/- 0.006, N = 7SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.006, N = 8SE +/- 0.003, N = 7SE +/- 0.003, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.008, N = 70.7670.7590.8090.8180.8210.7720.7770.8443.6991.3982.7302.8623.6723.6841.1661.0821.1952.9033.6931.0951.1661.1121.3013.677

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 OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3691215SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.007, N = 10SE +/- 0.006, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 9SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.003, N = 10SE +/- 0.005, N = 101.6661.6771.9002.0752.0712.0972.0832.6593.9173.6224.9045.4008.9688.3493.0682.6424.5414.4456.8083.3873.8144.0775.0007.7751. (CXX) g++ options: -rdynamic

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 INTTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 169.21, N = 15SE +/- 23.37, N = 12SE +/- 58.52, N = 13SE +/- 51.79, N = 12SE +/- 66.40, N = 12SE +/- 83.63, N = 15SE +/- 81.72, N = 15SE +/- 65.66, N = 15SE +/- 10.01, N = 9SE +/- 8.22, N = 9SE +/- 1.81, N = 8SE +/- 8.78, N = 10SE +/- 3.50, N = 9SE +/- 4.46, N = 15SE +/- 49.36, N = 15SE +/- 6.44, N = 12SE +/- 10.20, N = 12SE +/- 41.07, N = 15SE +/- 1.93, N = 13SE +/- 7.00, N = 10SE +/- 0.30, N = 10SE +/- 6.03, N = 12SE +/- 10.83, N = 15SE +/- 10.24, N = 1513783.9313629.3710266.729141.238484.417133.776930.215356.841757.811612.521306.511145.14789.99593.764734.364280.554338.674128.392641.382430.552076.451695.791275.12719.461. (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 uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti20406080100SE +/- 0.57, N = 11SE +/- 0.39, N = 11SE +/- 0.41, N = 11SE +/- 0.38, N = 11SE +/- 0.44, N = 11SE +/- 0.47, N = 11SE +/- 0.24, N = 11SE +/- 0.29, N = 11SE +/- 0.23, N = 11SE +/- 0.25, N = 11SE +/- 0.29, N = 11SE +/- 0.20, N = 10SE +/- 0.19, N = 10SE +/- 0.19, N = 10SE +/- 0.37, N = 11SE +/- 0.37, N = 11SE +/- 0.25, N = 11SE +/- 0.27, N = 11SE +/- 0.21, N = 11SE +/- 0.21, N = 11SE +/- 0.38, N = 11SE +/- 0.23, N = 11SE +/- 0.32, N = 11SE +/- 0.14, N = 1076.6475.7976.1074.7374.4572.5772.5073.3165.9564.5461.9460.2052.9247.2970.0368.1567.8267.9362.9670.6969.1866.2161.6551.341. (CXX) g++ options: -rdynamic -lOpenCL

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti110220330440550SE +/- 0.05, N = 13SE +/- 0.46, N = 12SE +/- 0.14, N = 13SE +/- 0.07, N = 13SE +/- 0.10, N = 13SE +/- 0.05, N = 13SE +/- 0.06, N = 13SE +/- 0.15, N = 12SE +/- 0.09, N = 9SE +/- 0.13, N = 15SE +/- 0.01, N = 13SE +/- 0.02, N = 12SE +/- 0.01, N = 13SE +/- 0.02, N = 13SE +/- 0.12, N = 12SE +/- 0.16, N = 12SE +/- 0.06, N = 11SE +/- 0.02, N = 13SE +/- 0.06, N = 12SE +/- 0.11, N = 15SE +/- 0.01, N = 11SE +/- 0.04, N = 11SE +/- 0.04, N = 10SE +/- 0.07, N = 11530.79506.90405.92369.23369.62369.30368.94276.94246.43264.74165.29144.5682.2390.18234.91276.35158.15156.86105.31223.14198.18197.20147.6692.341. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 206.22, N = 15SE +/- 177.79, N = 15SE +/- 38.81, N = 13SE +/- 73.37, N = 15SE +/- 77.74, N = 15SE +/- 92.93, N = 15SE +/- 85.70, N = 15SE +/- 67.09, N = 15SE +/- 71.02, N = 15SE +/- 62.62, N = 15SE +/- 36.45, N = 13SE +/- 48.39, N = 15SE +/- 19.60, N = 13SE +/- 28.68, N = 15SE +/- 56.79, N = 15SE +/- 43.47, N = 15SE +/- 27.06, N = 12SE +/- 49.35, N = 15SE +/- 21.41, N = 13SE +/- 104.59, N = 15SE +/- 3.15, N = 13SE +/- 112.12, N = 15SE +/- 76.28, N = 15SE +/- 51.80, N = 1514178.8513536.2510264.389161.188540.737265.917034.775417.556121.765512.894472.773874.982604.971974.964778.234440.234543.644123.662673.648218.626788.406093.024110.712331.181. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 595.40, N = 15SE +/- 556.93, N = 15SE +/- 134.69, N = 15SE +/- 56.09, N = 15SE +/- 5.98, N = 14SE +/- 0.92, N = 14SE +/- 0.94, N = 14SE +/- 3.59, N = 13SE +/- 2.28, N = 13SE +/- 0.25, N = 13SE +/- 0.26, N = 13SE +/- 0.29, N = 13SE +/- 0.12, N = 12SE +/- 3.04, N = 11SE +/- 2.31, N = 11SE +/- 30.05, N = 15SE +/- 1.19, N = 9SE +/- 0.33, N = 715103.6114734.0311685.9510845.369754.998435.238264.667339.395888.785440.745313.334993.923474.178182.726647.946174.804167.412379.011. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti90180270360450SE +/- 15.67, N = 15SE +/- 10.76, N = 15SE +/- 0.96, N = 15SE +/- 0.22, N = 15SE +/- 0.15, N = 15SE +/- 0.27, N = 14SE +/- 0.23, N = 14SE +/- 0.01, N = 13SE +/- 0.08, N = 13SE +/- 0.66, N = 15SE +/- 0.10, N = 13SE +/- 0.13, N = 13SE +/- 0.06, N = 12SE +/- 0.03, N = 11SE +/- 0.35, N = 11SE +/- 0.10, N = 11SE +/- 0.00, N = 9SE +/- 0.03, N = 7413.66409.46315.61291.56260.97226.21221.80196.30157.14144.14141.36133.8892.37296.09240.92225.05151.6384.551. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 458.60, N = 15SE +/- 264.51, N = 15SE +/- 1.56, N = 14SE +/- 7.76, N = 14SE +/- 0.98, N = 14SE +/- 0.55, N = 14SE +/- 49.03, N = 15SE +/- 4.65, N = 13SE +/- 0.35, N = 13SE +/- 4.94, N = 15SE +/- 0.22, N = 13SE +/- 0.38, N = 13SE +/- 0.11, N = 12SE +/- 1.56, N = 11SE +/- 0.87, N = 11SE +/- 3.28, N = 11SE +/- 2.01, N = 9SE +/- 0.18, N = 714426.1114103.7910562.999732.488722.287540.287348.916539.815271.344866.614753.114492.323108.842326.091887.611764.631187.72667.901. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti7K14K21K28K35KSE +/- 939.79, N = 15SE +/- 601.15, N = 15SE +/- 15.07, N = 15SE +/- 10.25, N = 14SE +/- 1.10, N = 14SE +/- 1.36, N = 14SE +/- 1.95, N = 14SE +/- 7.32, N = 13SE +/- 0.43, N = 13SE +/- 15.42, N = 13SE +/- 53.59, N = 15SE +/- 0.94, N = 13SE +/- 0.56, N = 12SE +/- 0.10, N = 11SE +/- 0.07, N = 11SE +/- 0.02, N = 11SE +/- 0.02, N = 9SE +/- 0.01, N = 732084.7931492.2423628.7821764.4019501.6716838.7216507.0614646.4611787.3710862.9010568.4610057.466948.33149.35121.42113.3275.7742.391. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti3K6K9K12K15KSE +/- 619.26, N = 15SE +/- 66.33, N = 15SE +/- 8.02, N = 14SE +/- 14.62, N = 14SE +/- 4.39, N = 14SE +/- 10.00, N = 13SE +/- 2.35, N = 13SE +/- 6.45, N = 13SE +/- 9.14, N = 14SE +/- 4.87, N = 13SE +/- 23.81, N = 15SE +/- 0.70, N = 11SE +/- 1.32, N = 15SE +/- 0.35, N = 11SE +/- 6.62, N = 13SE +/- 8.38, N = 13SE +/- 5.87, N = 13SE +/- 1.39, N = 13SE +/- 0.54, N = 12SE +/- 11.17, N = 14SE +/- 2.95, N = 12SE +/- 12.17, N = 15SE +/- 2.22, N = 13SE +/- 1.64, N = 1315032.4716061.0911758.6510812.529630.838357.968159.157222.286463.105844.904683.964141.792779.322149.605821.195462.595259.294943.063441.368520.977018.906476.924355.282561.981. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti4K8K12K16K20KSE +/- 63.55, N = 15SE +/- 11.06, N = 14SE +/- 11.48, N = 14SE +/- 1.20, N = 14SE +/- 1.47, N = 14SE +/- 1.82, N = 13SE +/- 2.40, N = 13SE +/- 14.13, N = 13SE +/- 1.23, N = 14SE +/- 1.27, N = 13SE +/- 5.50, N = 15SE +/- 0.40, N = 13SE +/- 0.81, N = 12SE +/- 0.55, N = 15SE +/- 50.53, N = 15SE +/- 7.30, N = 13SE +/- 0.61, N = 13SE +/- 0.38, N = 13SE +/- 0.52, N = 12SE +/- 6.51, N = 15SE +/- 0.83, N = 14SE +/- 0.96, N = 13SE +/- 2.70, N = 14SE +/- 2.02, N = 1216979.9916323.9411752.1110930.569696.388362.868218.027275.331911.011711.031389.901215.75828.80625.555803.635432.405303.514975.183466.722655.582157.312019.081354.14771.531. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

NeatBench

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

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUTITAN RTXRTX 2080RTX 2070RTX 2060GTX 980GTX 970GTX 960GTX 950GTX 1660GTX 1650GTX 1080GTX 10701122334455SE +/- 0.02, N = 13SE +/- 0.11, N = 15SE +/- 0.26, N = 13SE +/- 0.23, N = 14SE +/- 0.04, N = 13SE +/- 0.05, N = 13SE +/- 0.01, N = 13SE +/- 0.02, N = 13SE +/- 0.06, N = 13SE +/- 0.05, N = 13SE +/- 0.04, N = 13SE +/- 0.13, N = 1348.1038.3035.8028.3017.3015.409.539.5418.6012.8024.6021.50

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 PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti100200300400500SE +/- 1.13, N = 14SE +/- 0.56, N = 15SE +/- 0.08, N = 15SE +/- 0.56, N = 14SE +/- 0.00, N = 14SE +/- 0.11, N = 15SE +/- 0.01, N = 13SE +/- 0.00, N = 13SE +/- 0.07, N = 14SE +/- 0.12, N = 13SE +/- 0.18, N = 13SE +/- 0.16, N = 13SE +/- 0.07, N = 12SE +/- 0.12, N = 11SE +/- 0.12, N = 13SE +/- 0.22, N = 13SE +/- 0.14, N = 13SE +/- 0.15, N = 13SE +/- 0.01, N = 12SE +/- 0.15, N = 14SE +/- 0.08, N = 14SE +/- 0.06, N = 13SE +/- 0.23, N = 13SE +/- 0.02, N = 12454.37436.81315.03290.13259.11226.65222.15194.80221.88197.44159.33137.2093.0169.78155.78144.30141.25132.7591.77296.66241.99224.82150.4884.781. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 3.0.1Test: Server Rack - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti0.04320.08640.12960.17280.216SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.003, N = 15SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.004, N = 150.1030.1000.0990.0990.0980.1020.1010.1040.1890.1640.1620.1630.1910.1910.1060.1040.1130.1210.1850.1110.1170.1170.1240.192

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti714212835SE +/- 0.001983, N = 15SE +/- 0.001717, N = 14SE +/- 0.003249, N = 15SE +/- 0.001547, N = 14SE +/- 0.014259, N = 15SE +/- 0.001589, N = 14SE +/- 0.015324, N = 15SE +/- 0.000959, N = 14SE +/- 0.004731, N = 14SE +/- 0.156028, N = 15SE +/- 0.022523, N = 15SE +/- 0.003094, N = 15SE +/- 0.303704, N = 15SE +/- 0.453232, N = 15SE +/- 0.001932, N = 14SE +/- 0.001295, N = 14SE +/- 0.001244, N = 14SE +/- 0.001228, N = 14SE +/- 0.002491, N = 14SE +/- 0.003290, N = 15SE +/- 0.003359, N = 15SE +/- 0.209293, N = 15SE +/- 0.317433, N = 15SE +/- 0.748737, N = 155.7010006.0200006.8110007.6570008.26300010.25400010.49800012.5550009.3230009.59600012.10100014.19600019.51320027.81886714.38500015.27100015.25900016.57778524.1452856.9810007.2980008.96800013.34000024.3622001. (CXX) g++ options: -O3 -lOpenCL

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1050 Ti1632486480Min: 35 / Avg: 55.61 / Max: 78Min: 29 / Avg: 56.11 / Max: 78Min: 28 / Avg: 49.61 / Max: 73Min: 28 / Avg: 62.06 / Max: 83Min: 29 / Avg: 50.76 / Max: 71Min: 29 / Avg: 54.87 / Max: 76Min: 33 / Avg: 53.72 / Max: 74Min: 29 / Avg: 51.56 / Max: 73Min: 32 / Avg: 70.56 / Max: 85Min: 30 / Avg: 70.66 / Max: 85Min: 31 / Avg: 65.22 / Max: 80Min: 33 / Avg: 52.58 / Max: 74Min: 27 / Avg: 61.47 / Max: 74Min: 29 / Avg: 62.51 / Max: 82Min: 29 / Avg: 48.98 / Max: 66Min: 33 / Avg: 55.48 / Max: 68Min: 30 / Avg: 51.27 / Max: 76Min: 30 / Avg: 50.85 / Max: 66Min: 27 / Avg: 49.62 / Max: 67Min: 28 / Avg: 61.17 / Max: 83Min: 32 / Avg: 45.46 / Max: 58Min: 29 / Avg: 59.81 / Max: 78Min: 32 / Avg: 52.77 / Max: 69Min: 28 / Avg: 52.14 / Max: 68

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 106060120180240300Min: 24.02 / Avg: 126.58 / Max: 312.98Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 8.85 / Avg: 91.93 / Max: 248.16Min: 13.71 / Avg: 103.45 / Max: 219.93Min: 14.36 / Avg: 96.17 / Max: 217.58Min: 7.57 / Avg: 85.38 / Max: 180.92Min: 9.27 / Avg: 88.74 / Max: 180.97Min: 9.59 / Avg: 74.07 / Max: 165.3Min: 16.01 / Avg: 139.4 / Max: 257.78Min: 15.33 / Avg: 131.28 / Max: 252.57Min: 15.1 / Avg: 102.77 / Max: 192.38Min: 15.21 / Avg: 95.21 / Max: 176.52Min: 8.45 / Avg: 64.56 / Max: 143.77Min: 8.46 / Avg: 57.65 / Max: 109.21Min: 7.22 / Avg: 59.54 / Max: 132.74Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 6.72 / Avg: 45.57 / Max: 122.32Min: 6.47 / Avg: 47.87 / Max: 99.24Min: 5.55 / Avg: 37.62 / Max: 70.94Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 6.24 / Avg: 64.43 / Max: 128.04

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX TITAN XGTX 980 TiGTX 980GTX 970GTX 960GTX 950GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10602004006008001000962.081013.20831.53728.37754.61642.98689.61553.15346.43327.28249.04223.07288.09414.87502.09497.00416.11399.75290.51406.50348.12280.52