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 Computearrayfire: BLAS OpenCLarrayfire: Conjugate Gradient OpenCLcl-mem: Readcl-mem: Writecl-mem: Copyclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLdarktable: Server Rack - OpenCLdaphne: OpenCL - Euclidean Clusterdaphne: OpenCL - NDT Mappingdaphne: OpenCL - Points2Imagedaphne: NVIDIA CUDA - Euclidean Clusterdaphne: NVIDIA CUDA - NDT Mappingdaphne: NVIDIA CUDA - Points2Imagefahbench: financebench: Black-Scholes OpenCLfinancebench: Monte-Carlo OpenCLgromacs-gpu: Water Benchmarklczero: OpenCLluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: DLSCluxcorerender-cl: Rainbow Colors and Prismluxcorerender-cl: Foodmandelgpu: GPUmixbench: OpenCL - Single Precisionmixbench: OpenCL - Double Precisionmixbench: OpenCL - Integermixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Integernamd-cuda: ATPase Simulation - 327,506 Atomsneatbench: GPUoctanebench: Total Scoreplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLrodinia: OpenCL Myocyterodinia: OpenCL Particle Filterrodinia: NVIDIA CUDA GPU Myocyteviennacl: OpenCL LU FactorizationGTX 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 RTX1019.488.34990.384.978.590.181974.9669.87593.7612.3924.3073.6840.1911591.64294.1311764.708866203980.3352.694127.8188674.9191.80219820.810.983.220.3961530230.32149.6069.78625.550.595139.5451.155045508.66408.2841.97111.251000000000100000000045.53823.83451.96547.28611303.048.96881.577.772.882.232604.9792.41789.9912.4004.2813.6720.1911778.01308.2811773.354931416982.7262.304119.5132004.9112.15424300.971.152.840.4479940246.72779.3293.01828.800.507859.5358.903229609.16434.07213.4945.54143.15100000000045.50918.40952.33452.92062457.735.400144.6136.3125.9144.563874.98137.481145.144.3114.6102.8620.1631928.88324.7011485.504137045979.3390.846014.196841.1885812.99551631.461.734.810.67113624502.04141.79137.201215.750.3607115.496.200864910.9173.25716.8297.8373.89203.0864.5351.1448.92013.18556.49860.19792826.164.904165.3159.1145.0165.294472.77159.721306.513.7644.5432.7300.1621976.41333.5211735.8414852981019.04102.366812.101749.2880023.27162651.631.935.110.78121139566.84683.96159.331389.900.3356617.3110.8143211053.4980.47810.50109.5082.21228.4672.2156.6050.55311.77459.47461.93622438.973.622266.0245.9217.8264.745512.89197.231612.523.0173.2271.3980.1641908.81339.2111829.864624498976.75115.77539.596660.5482493.85782832.002.366.590.92148357386.15844.90197.441711.030.29138143.5214321290.4889.281029.36138.3399.84267.8890.7471.1855.17410.07164.75864.53583699.513.917243.5237.6214.4246.436121.76219.421757.8112.3884.3243.6990.1891953.25339.7511498.215487990956.54123.18979.323624.1757434.08190662.092.506.470.98162891036.96463.10221.881911.010.27103154.4208191369.2093.031106.29148.84105.39294.1097.4075.7353.8329.15563.60365.94501639.087.77595.291.287.992.342331.1884.60719.4612.3074.2943.6770.1921759.04305.0711780.6754873321219.9961.588924.3622001214.9940012.08425650.961.133.980.4675842143.42561.9884.78771.532379.0184.5542.39667.900.5323355.432593594.4157.13481.3160.9249.71130.6637.1329.4239.05321.26743.28351.33812856.385.000154.4148.1138.5147.664110.71150.681275.123.5173.1691.3010.1242076.48333.4711766.2918261271253.43102.268313.340894.0848653.18159331.531.785.410.65130290433.84355.28150.481354.144167.41151.6375.771187.720.3095791.732906987.0783.52775.73108.5679.13227.2371.7856.6238.11412.00242.70361.65302905.884.077206.2199.5183.3197.206093.02223.601695.792.7092.9741.1120.1172243.10345.4413045.8573943511231.44139.49748.968697.5462914.05297502.122.466.620.92184077179.76476.92224.822019.086174.80225.05113.321764.630.2402221.5132.8393541392.46103.791052.64151.71108.46314.8399.8879.1238.0038.20542.95566.20684304.763.814206.2198.2184.1198.186788.40242.702076.452.7412.9981.1660.1172223.78349.1213281.7676294191204.77137.13937.298754.2840124.25999472.242.555.380.98194875210.87018.90241.992157.316647.94240.92121.421887.610.22300141.6676551485.7899.641070.90159.43108.23331.84116.8992.8742.0817.79147.72269.18385091.863.387229.6225.6207.4223.148218.62298.462430.552.5462.9741.0950.1112345.38348.2913141.7294623901218.56151.56796.981921.6841524.634126622.132.454.230.99231826397.88520.97296.662655.588182.72296.09149.352326.090.2242624.6148.4720091665.7299.821154.13190.14112.28398.82131.34103.8337.9986.45743.19770.68801128.396.808108.7104.499.2105.312673.64109.202641.3812.4064.3293.6930.1851983.67287.0712203.3045554621415.67517.1429148.73980909175.813524.145285895.4304293.25331011.511.733.930.67132266243.93441.3691.773466.723474.1792.376948.333108.840.3450312.877.410218814.5065.59573.6780.6859.37201.2753.3542.3233.71517.82339.89562.96071607.774.445167.0145.8143.8156.864123.66157.984128.395.0704.7562.9030.1212143.59313.8012256.6632071581456.66534.8529380.30781584182.052116.5777851087.1681264.12251511.361.612.730.81186025762.64943.06132.754975.184993.92133.8810057.464492.320.2621192.3678391080.4377.10740.17115.7073.17269.1777.9861.8533.68612.48739.93767.93301712.374.541163.9157.3145.9158.154543.64168.564338.673.1733.0971.1950.1132174.72314.7113590.0313506141452.41552.6829594.884992536125.615815.259606.6998834.41258952.202.565.580.99193795979.55259.29141.255303.515313.33141.3610568.464753.110.2429018.6119.1052651199.6697.94858.90120.8487.25289.4285.4667.7434.75811.89340.06667.82001765.012.642296.6240.7240.2276.354440.23172.494280.552.6073.0301.0820.1042175.96320.9713933.2739481651466.24563.1329306.127505907135.607315.271594.4380044.62973662.262.635.611.09200846066.45462.59144.305432.405440.74144.1410862.904866.610.23177135.6571341380.68111.391080.11135.31100.51298.7786.6168.8134.12711.48239.90568.15321877.323.068251.2223.9211.1234.914778.23184.344734.362.7573.0911.1660.1062223.07321.7713606.9629129931465.39557.2029450.462327902138.557814.385654.8158654.78977332.112.515.011.07210891296.25821.19155.785803.635888.78157.1411787.375271.340.22800133.3451427.43108.061038.86143.2298.99313.0892.4173.3834.41210.84740.03870.02872321.092.659297.4258.7239.4276.945417.55232.175356.842.0922.8350.8440.1042263.12332.0013398.0602704681468.39570.7730937.282623163178.471212.555528.3677445.416102902.793.347.971.17252924048.77222.28194.807275.337339.39196.3014646.466539.810.2063528.3166.0985711719.71125.331285.58172.73125.23390.07112.2988.9534.9028.83639.99973.30912622.042.083396.8341.3288.0368.947034.77261.896930.211.7942.7630.7770.1012326.88338.0813476.3433005331475.24575.4530663.638303013200.766410.498367.0220035.789123353.544.2011.321.33281931310.08159.15222.158218.028264.66221.8016507.067348.910.20057206.0789432012.37154.811585.76204.35146.90438.26128.91101.7934.5557.91440.22472.50102680.692.097396.9328.5284.4369.307265.91267.797133.771.7762.7440.7720.1022309.01339.1213499.1668926941462.96579.3629917.295727193199.871910.254377.7225005.865123113.494.1710.981.30284631717.48357.96226.658362.868435.23226.2116838.727540.280.2036235.8207.5382861996.60153.031575.65202.42147.87444.84132.03104.2135.5147.76740.49972.56993047.422.071396.8322.9292.1369.628540.73308.868484.411.7802.8040.8210.0982264.37338.6513076.8598627931444.27589.6330409.064764221221.72848.263400.3836256.249147303.694.4410.211.90323061985.49630.83259.119696.389754.99260.9719501.678722.280.19625221.1937482287.03154.741712.75221.49149.69500.26155.42123.0334.7796.83740.08574.44733358.202.075396.5338.1290.0369.239161.18345.119141.231.7422.7940.8180.0992245.82341.8413228.1409915581441.29599.6429707.441489825235.53417.657406.0421226.536154423.554.329.241.87345359936.410812.52290.1310930.5610845.36291.5621764.409732.480.1926538.3224.3872112322.39154.351726.60243.51151.99544.54164.78130.2335.0856.19640.48774.72983673.831.900437.6352.9301.7405.9210264.38376.3210266.721.6802.7640.8090.0992326.55344.1912974.4657937611448.46599.7030214.755635634248.01186.811413.8451276.572175013.624.389.141.93374422420.611758.65315.0311752.1111685.95315.6123628.7810562.990.19329234.0664462432.73158.821815.92265.91159.79588.04183.53145.5734.2075.71840.01276.10164836.621.677545.7449.5324.0506.9013536.25522.2213629.371.4922.7550.7590.1002268.23350.3713045.0309239411436.62606.7528816.817836895290.72496.020319.9141277.136218394.755.6712.332.23448915216.616061.09436.8116323.9414734.03409.4631492.2414103.790.19082310.8143992751.85187.732406.16353.54212.11753.75237.29187.9235.2354.41440.35275.78715040.581.666567.7491.7322.7530.7914178.85548.2613783.931.4912.7920.7670.1032279.14343.6112538.2457870811434.17590.6329401.514070221292.15935.701277.2321217.117224244.995.9812.732.23480798376.615032.47454.3716979.9915103.61413.6632084.7914426.110.1919548.1324.5467692856.83198.372544.67355.85227.30775.69248.79196.6335.7674.25040.37376.6410OpenBenchmarking.org

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 OpenCLGTX 1080TITAN RTXRTX 2080 TiGTX 1070 TiGTX TITAN XRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1070GTX 1060GTX 980RTX 2070RTX 2060 SUPERGTX 970GTX 980 TiRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1050 TiGTX 1650 SUPERGTX 960GTX 1650GTX 95011002200330044005500SE +/- 10.96, N = 4SE +/- 17.72, N = 4SE +/- 13.92, N = 4SE +/- 1.17, N = 4SE +/- 10.31, N = 4SE +/- 9.77, N = 4SE +/- 10.88, N = 4SE +/- 1.43, N = 4SE +/- 4.04, N = 4SE +/- 2.50, N = 4SE +/- 10.36, N = 4SE +/- 11.45, N = 4SE +/- 4.79, N = 4SE +/- 1.45, N = 4SE +/- 8.83, N = 4SE +/- 5.03, N = 4SE +/- 3.15, N = 4SE +/- 3.01, N = 4SE +/- 1.22, N = 4SE +/- 1.56, N = 4SE +/- 1.69, N = 4SE +/- 0.80, N = 4SE +/- 1.92, N = 4SE +/- 1.10, N = 45091.865040.584836.624304.763699.513673.833358.203047.422905.882856.382826.162680.692622.042457.732438.972321.091877.321765.011712.371639.081607.771303.041128.391019.481. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070GTX 1660 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 980 TiGTX 1070 TiGTX TITAN XGTX 1070GTX 1650 SUPERGTX 1660GTX 980GTX 1060GTX 970GTX 1650GTX 1050 TiGTX 950GTX 9603691215SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.001, 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 +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.006, N = 10SE +/- 0.001, N = 10SE +/- 0.007, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 9SE +/- 0.003, N = 10SE +/- 0.005, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 101.6661.6771.9002.0712.0752.0832.0972.6422.6593.0683.3873.6223.8143.9174.0774.4454.5414.9045.0005.4006.8087.7758.3498.9681. (CXX) g++ options: -rdynamic

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 2070RTX 2070 SUPERRTX 2060 SUPERRTX 2080RTX 2060GTX 1660 SUPERGTX 980 TiGTX 1660 TiGTX TITAN XGTX 1080GTX 1070 TiGTX 1070GTX 1650 SUPERGTX 980GTX 1660GTX 1060GTX 970GTX 1650GTX 1050 TiGTX 950GTX 960120240360480600SE +/- 0.13, N = 9SE +/- 0.13, N = 8SE +/- 0.11, N = 8SE +/- 0.10, N = 8SE +/- 0.09, N = 8SE +/- 0.13, N = 8SE +/- 0.42, N = 8SE +/- 0.08, N = 7SE +/- 0.07, N = 7SE +/- 0.17, N = 6SE +/- 0.07, N = 6SE +/- 0.20, N = 6SE +/- 0.08, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.04, N = 5SE +/- 0.08, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.80, N = 2567.7545.7437.6396.9396.8396.8396.5297.4296.6266.0251.2243.5229.6206.2206.2167.0165.3163.9154.4144.6108.795.290.381.51. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2060 SUPERRTX 2080RTX 2070RTX 2070 SUPERRTX 2060GTX 980 TiGTX 1660 SUPERGTX TITAN XGTX 1080GTX 1660 TiGTX 1070GTX 1070 TiGTX 980GTX 1660GTX 1060GTX 1650 SUPERGTX 970GTX 1650GTX 1050 TiGTX 950GTX 960110220330440550SE +/- 0.97, N = 9SE +/- 0.21, N = 8SE +/- 0.27, N = 8SE +/- 0.29, N = 8SE +/- 0.51, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.46, N = 7SE +/- 0.14, N = 6SE +/- 0.36, N = 7SE +/- 0.08, N = 6SE +/- 0.09, N = 6SE +/- 0.14, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.20, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 5SE +/- 0.15, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3491.7449.5352.9341.3338.1328.5322.9258.7245.9240.7237.6225.6223.9199.5198.2159.1157.3148.1145.8136.3104.491.284.977.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070GTX 1660 SUPERRTX 2060GTX 980 TiGTX TITAN XGTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660GTX 980GTX 1650 SUPERGTX 1060GTX 970GTX 1650GTX 1050 TiGTX 950GTX 96070140210280350SE +/- 0.10, N = 8SE +/- 0.08, N = 9SE +/- 0.05, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.06, N = 8SE +/- 0.09, N = 8SE +/- 0.05, N = 7SE +/- 0.06, N = 7SE +/- 0.07, N = 6SE +/- 0.11, N = 6SE +/- 0.06, N = 6SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.17, N = 5SE +/- 0.02, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3324.0322.7301.7292.1290.0288.0284.4240.2239.4217.8214.4211.1207.4184.1183.3145.9145.0143.8138.5125.999.287.978.572.81. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2070RTX 2080RTX 2060 SUPERRTX 2060GTX 1660 SUPERGTX 980 TiGTX TITAN XGTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 980GTX 1660GTX 1650 SUPERGTX 1060GTX 970GTX 1650GTX 1050 TiGTX 950GTX 960110220330440550SE +/- 0.05, N = 13SE +/- 0.46, N = 12SE +/- 0.14, N = 13SE +/- 0.10, N = 13SE +/- 0.05, N = 13SE +/- 0.07, N = 13SE +/- 0.06, N = 13SE +/- 0.15, N = 12SE +/- 0.16, N = 12SE +/- 0.13, N = 15SE +/- 0.09, N = 9SE +/- 0.12, N = 12SE +/- 0.11, N = 15SE +/- 0.01, N = 11SE +/- 0.04, N = 11SE +/- 0.01, N = 13SE +/- 0.06, N = 11SE +/- 0.02, N = 13SE +/- 0.04, N = 10SE +/- 0.02, N = 12SE +/- 0.06, N = 12SE +/- 0.07, N = 11SE +/- 0.02, N = 13SE +/- 0.01, N = 13530.79506.90405.92369.62369.30369.23368.94276.94276.35264.74246.43234.91223.14198.18197.20165.29158.15156.86147.66144.56105.3192.3490.1882.231. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERGTX 1070 TiGTX TITAN XGTX 1070GTX 980 TiRTX 2060GTX 1660 TiGTX 1660GTX 980GTX 1660 SUPERGTX 1650 SUPERGTX 1060GTX 970GTX 1650GTX 960GTX 1050 TiGTX 9503K6K9K12K15KSE +/- 206.22, N = 15SE +/- 177.79, N = 15SE +/- 38.81, N = 13SE +/- 73.37, N = 15SE +/- 77.74, N = 15SE +/- 104.59, N = 15SE +/- 92.93, N = 15SE +/- 85.70, N = 15SE +/- 3.15, N = 13SE +/- 71.02, N = 15SE +/- 112.12, N = 15SE +/- 62.62, N = 15SE +/- 67.09, N = 15SE +/- 56.79, N = 15SE +/- 27.06, N = 12SE +/- 36.45, N = 13SE +/- 43.47, N = 15SE +/- 49.35, N = 15SE +/- 76.28, N = 15SE +/- 48.39, N = 15SE +/- 21.41, N = 13SE +/- 19.60, N = 13SE +/- 51.80, N = 15SE +/- 28.68, N = 1514178.8513536.2510264.389161.188540.738218.627265.917034.776788.406121.766093.025512.895417.554778.234543.644472.774440.234123.664110.713874.982673.642604.972331.181974.961. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERGTX 1070 TiRTX 2060GTX 1070GTX TITAN XGTX 980 TiGTX 1660 TiGTX 1660 SUPERGTX 1660GTX 980GTX 1650 SUPERGTX 1060GTX 970GTX 1650GTX 960GTX 1050 TiGTX 950120240360480600SE +/- 1.32, N = 3SE +/- 1.30, N = 3SE +/- 0.03, N = 3SE +/- 0.91, N = 3SE +/- 0.00, N = 3SE +/- 0.60, N = 3SE +/- 0.71, N = 3SE +/- 0.69, N = 3SE +/- 0.06, N = 3SE +/- 0.58, N = 3SE +/- 0.38, N = 4SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.46, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 4SE +/- 0.17, N = 3548.26522.22376.32345.11308.86298.46267.79261.89242.70232.17223.60219.42197.23184.34172.49168.56159.72157.98150.68137.48109.2092.4184.6069.871. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660GTX 1660 SUPERGTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX TITAN XGTX 1070GTX 980 TiGTX 980GTX 1060GTX 970GTX 960GTX 1050 TiGTX 9503K6K9K12K15KSE +/- 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 +/- 49.36, N = 15SE +/- 10.20, N = 12SE +/- 6.44, N = 12SE +/- 41.07, N = 15SE +/- 1.93, N = 13SE +/- 7.00, N = 10SE +/- 0.30, N = 10SE +/- 10.01, N = 9SE +/- 6.03, N = 12SE +/- 8.22, N = 9SE +/- 1.81, N = 8SE +/- 10.83, N = 15SE +/- 8.78, N = 10SE +/- 3.50, N = 9SE +/- 10.24, N = 15SE +/- 4.46, N = 1513783.9313629.3710266.729141.238484.417133.776930.215356.844734.364338.674280.554128.392641.382430.552076.451757.811695.791612.521306.511275.121145.14789.99719.46593.761. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Darktable

OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption MonitorTITAN RTX4080120160200Min: 24.51 / Avg: 72.14 / Max: 236.96

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX1020304050Min: 40 / Avg: 42.66 / Max: 48

OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption MonitorTITAN RTX20406080100Min: 24.52 / Avg: 56.98 / Max: 89.35

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 41 / Avg: 42.09 / Max: 43

OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption MonitorTITAN RTX306090120150Min: 24.59 / Avg: 62.16 / Max: 145.89

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 40 / Avg: 41.68 / Max: 43

OpenBenchmarking.orgWatts, Fewer Is BetterDarktableGPU Power Consumption MonitorTITAN RTX1224364860Min: 24.5 / Avg: 39.6 / Max: 59.07

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 39 / Avg: 39.79 / Max: 41

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070RTX 2070 SUPERRTX 2060 SUPERRTX 2060GTX 1080GTX 1660 SUPERGTX 1070GTX 1070 TiGTX 1660 TiGTX 980 TiGTX 1660GTX 1060GTX 980GTX 970GTX 1650 SUPERGTX 1050 TiGTX TITAN XGTX 950GTX 960GTX 16503691215SE +/- 0.008, N = 9SE +/- 0.007, N = 10SE +/- 0.006, N = 10SE +/- 0.003, N = 10SE +/- 0.007, N = 10SE +/- 0.009, N = 10SE +/- 0.007, N = 10SE +/- 0.004, N = 9SE +/- 0.006, N = 9SE +/- 0.010, N = 9SE +/- 0.009, N = 9SE +/- 0.012, N = 8SE +/- 0.006, N = 9SE +/- 0.013, N = 8SE +/- 0.007, N = 8SE +/- 0.012, N = 8SE +/- 0.014, N = 8SE +/- 0.014, N = 7SE +/- 0.027, N = 7SE +/- 0.042, N = 4SE +/- 0.035, N = 4SE +/- 0.031, N = 4SE +/- 0.046, N = 4SE +/- 0.022, N = 41.4911.4921.6801.7421.7761.7801.7942.0922.5462.6072.7092.7412.7573.0173.1733.5173.7644.3115.07012.30712.38812.39212.40012.406

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLRTX 2070RTX 2080 TiRTX 2060 SUPERRTX 2080 SUPERTITAN RTXRTX 2080RTX 2070 SUPERRTX 2060GTX 1070GTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1660 TiGTX 1660GTX 1060GTX 980 TiGTX 960GTX 1050 TiGTX 950GTX TITAN XGTX 1650GTX 980GTX 970GTX 1650 SUPER1.07012.14023.21034.28045.3505SE +/- 0.009, N = 9SE +/- 0.009, N = 9SE +/- 0.015, N = 9SE +/- 0.014, N = 9SE +/- 0.011, N = 8SE +/- 0.019, N = 8SE +/- 0.009, N = 8SE +/- 0.014, N = 8SE +/- 0.008, N = 8SE +/- 0.011, N = 8SE +/- 0.016, N = 8SE +/- 0.011, N = 8SE +/- 0.012, N = 8SE +/- 0.012, N = 8SE +/- 0.009, N = 8SE +/- 0.012, N = 8SE +/- 0.023, N = 7SE +/- 0.014, N = 7SE +/- 0.011, N = 7SE +/- 0.019, N = 7SE +/- 0.018, N = 7SE +/- 0.023, N = 7SE +/- 0.022, N = 7SE +/- 0.023, N = 72.7442.7552.7632.7642.7922.7942.8042.8352.9742.9742.9983.0303.0913.0973.1693.2274.2814.2944.3074.3244.3294.5434.6104.756

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLRTX 2080 TiTITAN RTXRTX 2070RTX 2060 SUPERRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060GTX 1660 SUPERGTX 1080GTX 1070GTX 1070 TiGTX 1660 TiGTX 1660GTX 1060GTX 980 TiGTX 980GTX 970GTX 1650 SUPERGTX 960GTX 1050 TiGTX 950GTX 1650GTX TITAN X0.83231.66462.49693.32924.1615SE +/- 0.002, N = 11SE +/- 0.002, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.001, N = 11SE +/- 0.002, N = 11SE +/- 0.001, N = 11SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.004, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.004, N = 8SE +/- 0.017, N = 8SE +/- 0.006, N = 8SE +/- 0.009, N = 8SE +/- 0.008, N = 7SE +/- 0.006, N = 7SE +/- 0.003, N = 7SE +/- 0.008, N = 70.7590.7670.7720.7770.8090.8180.8210.8441.0821.0951.1121.1661.1661.1951.3011.3982.7302.8622.9033.6723.6773.6843.6933.699

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLRTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRTX 2060 SUPERRTX 2070TITAN RTXGTX 1660 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 1660GTX 1070GTX 1070 TiGTX 1650 SUPERGTX 1060GTX 980GTX 970GTX 980 TiGTX 1650GTX TITAN XGTX 950GTX 960GTX 1050 Ti0.04320.08640.12960.17280.216SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.003, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 15SE +/- 0.004, N = 150.0980.0990.0990.1000.1010.1020.1030.1040.1040.1060.1110.1130.1170.1170.1210.1240.1620.1630.1640.1850.1890.1910.1910.192

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 ClusterGTX 1080RTX 2060 SUPERRTX 2080 SUPERRTX 2070TITAN RTXRTX 2080 TiRTX 2070 SUPERRTX 2060RTX 2080GTX 1070GTX 1070 TiGTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 1650GTX 980GTX TITAN XGTX 970GTX 980 TiGTX 960GTX 1050 TiGTX 9505001000150020002500SE +/- 5.86, N = 5SE +/- 4.74, N = 5SE +/- 6.61, N = 5SE +/- 9.09, N = 5SE +/- 9.59, N = 5SE +/- 5.93, N = 5SE +/- 4.72, N = 5SE +/- 6.16, N = 5SE +/- 4.22, N = 5SE +/- 7.62, N = 5SE +/- 0.67, N = 5SE +/- 6.33, N = 5SE +/- 3.67, N = 5SE +/- 9.93, N = 5SE +/- 1.34, N = 5SE +/- 3.33, N = 5SE +/- 8.11, N = 4SE +/- 2.91, N = 5SE +/- 3.18, N = 4SE +/- 1.83, N = 4SE +/- 5.50, N = 4SE +/- 2.79, N = 4SE +/- 6.06, N = 4SE +/- 1.01, N = 42345.382326.882326.552309.012279.142268.232264.372263.122245.822243.102223.782223.072175.962174.722143.592076.481983.671976.411953.251928.881908.811778.011759.041591.641. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingRTX 2080 TiGTX 1070 TiGTX 1080GTX 1070RTX 2080 SUPERTITAN RTXRTX 2080GTX TITAN XGTX 980 TiRTX 2070RTX 2070 SUPERRTX 2060 SUPERGTX 980GTX 1060RTX 2060GTX 970GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 960GTX 1050 TiGTX 950GTX 165080160240320400SE +/- 0.87, N = 3SE +/- 2.01, N = 3SE +/- 1.38, N = 3SE +/- 2.24, N = 3SE +/- 0.33, N = 3SE +/- 1.41, N = 3SE +/- 1.78, N = 3SE +/- 1.91, N = 3SE +/- 2.08, N = 3SE +/- 2.26, N = 3SE +/- 0.37, N = 3SE +/- 1.17, N = 3SE +/- 0.61, N = 3SE +/- 0.67, N = 3SE +/- 0.47, N = 3SE +/- 0.82, N = 3SE +/- 2.24, N = 3SE +/- 2.54, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 2.15, N = 3SE +/- 1.02, N = 3SE +/- 1.45, N = 3SE +/- 1.36, N = 3350.37349.12348.29345.44344.19343.61341.84339.75339.21339.12338.65338.08333.52333.47332.00324.70321.77320.97314.71313.80308.28305.07294.13287.071. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageGTX 1660 SUPERGTX 1660 TiGTX 1660RTX 2070RTX 2060 SUPERRTX 2060GTX 1070 TiRTX 2080GTX 1080RTX 2070 SUPERGTX 1070RTX 2080 TiRTX 2080 SUPERTITAN RTXGTX 1650 SUPERGTX 1650GTX 980 TiGTX 1050 TiGTX 960GTX 1060GTX 950GTX 980GTX TITAN XGTX 9703K6K9K12K15KSE +/- 16.13, N = 3SE +/- 35.36, N = 3SE +/- 28.64, N = 3SE +/- 35.39, N = 3SE +/- 146.98, N = 3SE +/- 87.49, N = 3SE +/- 112.38, N = 3SE +/- 56.40, N = 3SE +/- 90.00, N = 3SE +/- 194.60, N = 3SE +/- 180.15, N = 3SE +/- 70.09, N = 3SE +/- 64.15, N = 3SE +/- 36.56, N = 3SE +/- 155.29, N = 3SE +/- 175.10, N = 3SE +/- 62.20, N = 3SE +/- 128.29, N = 3SE +/- 85.88, N = 3SE +/- 136.54, N = 3SE +/- 66.71, N = 3SE +/- 75.04, N = 3SE +/- 57.16, N = 3SE +/- 123.30, N = 313933.2713606.9613590.0313499.1713476.3413398.0613281.7713228.1413141.7313076.8613045.8613045.0312974.4712538.2512256.6612203.3011829.8611780.6811773.3511766.2911764.7111735.8411498.2211485.501. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterRTX 2060 SUPERRTX 2060GTX 1660 SUPERGTX 1660 TiRTX 2070GTX 1650 SUPERGTX 1660RTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2080 TiTITAN RTXGTX 1650GTX 1060GTX 1070GTX 1050 TiGTX 1080GTX 1070 TiGTX 980GTX 960GTX 950GTX 970GTX 980 TiGTX TITAN X30060090012001500SE +/- 1.47, N = 4SE +/- 2.06, N = 4SE +/- 0.96, N = 4SE +/- 1.42, N = 4SE +/- 1.75, N = 4SE +/- 2.43, N = 4SE +/- 2.01, N = 4SE +/- 2.29, N = 4SE +/- 2.13, N = 4SE +/- 2.02, N = 4SE +/- 0.89, N = 4SE +/- 2.28, N = 4SE +/- 0.94, N = 4SE +/- 8.38, N = 3SE +/- 4.73, N = 3SE +/- 6.85, N = 3SE +/- 2.36, N = 3SE +/- 7.67, N = 3SE +/- 1.10, N = 3SE +/- 1.80, N = 3SE +/- 13.18, N = 3SE +/- 2.99, N = 3SE +/- 15.93, N = 3SE +/- 0.86, N = 31475.241468.391466.241465.391462.961456.661452.411448.461444.271441.291436.621434.171415.671253.431231.441219.991218.561204.771019.04982.72980.33979.33976.75956.541. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: NDT MappingRTX 2080 TiRTX 2080 SUPERRTX 2080TITAN RTXRTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1660GTX 1650 SUPERGTX 1650130260390520650SE +/- 2.73, N = 3SE +/- 1.09, N = 3SE +/- 1.76, N = 3SE +/- 5.64, N = 3SE +/- 0.12, N = 3SE +/- 2.81, N = 3SE +/- 0.39, N = 3SE +/- 0.63, N = 3SE +/- 4.39, N = 3SE +/- 3.12, N = 3SE +/- 0.21, N = 3SE +/- 1.45, N = 3SE +/- 0.81, N = 3606.75599.70599.64590.63589.63579.36575.45570.77563.13557.20552.68534.85517.141. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Points2ImageRTX 2060RTX 2060 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2070RTX 2080GTX 1660GTX 1660 TiTITAN RTXGTX 1650 SUPERGTX 1660 SUPERGTX 1650RTX 2080 Ti7K14K21K28K35KSE +/- 339.25, N = 14SE +/- 226.31, N = 3SE +/- 401.47, N = 5SE +/- 273.74, N = 15SE +/- 471.75, N = 3SE +/- 430.26, N = 4SE +/- 269.28, N = 15SE +/- 392.98, N = 5SE +/- 203.08, N = 3SE +/- 220.88, N = 3SE +/- 284.42, N = 3SE +/- 329.31, N = 7SE +/- 496.68, N = 330937.2830663.6430409.0630214.7629917.3029707.4429594.8829450.4629401.5129380.3129306.1329148.7428816.821. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 2060 SUPERRTX 2070RTX 2060GTX 1080GTX 1070GTX 1660 TiGTX 1070 TiGTX 1660 SUPERGTX 1660GTX TITAN XGTX 980 TiGTX 980GTX 1060GTX 970GTX 1650 SUPERGTX 1650GTX 960GTX 1050 TiGTX 95060120180240300SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 0.82, N = 3SE +/- 0.92, N = 3SE +/- 1.06, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.31, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3292.16290.72248.01235.53221.73200.77199.87178.47151.57139.50138.56137.14135.61125.62123.19115.78102.37102.2790.8582.0575.8162.3061.5952.69

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 SUPERGTX 1080GTX 1070 TiRTX 2080RTX 2070 SUPERGTX 1070GTX TITAN XGTX 980 TiRTX 2070RTX 2060 SUPERGTX 980RTX 2060GTX 1060GTX 970GTX 1660 TiGTX 1660GTX 1660 SUPERGTX 1650 SUPERGTX 960GTX 1650GTX 1050 TiGTX 950714212835SE +/- 0.001983, N = 15SE +/- 0.001717, N = 14SE +/- 0.003249, N = 15SE +/- 0.003290, N = 15SE +/- 0.003359, N = 15SE +/- 0.001547, N = 14SE +/- 0.014259, N = 15SE +/- 0.209293, N = 15SE +/- 0.004731, N = 14SE +/- 0.156028, N = 15SE +/- 0.001589, N = 14SE +/- 0.015324, N = 15SE +/- 0.022523, N = 15SE +/- 0.000959, N = 14SE +/- 0.317433, N = 15SE +/- 0.003094, N = 15SE +/- 0.001932, N = 14SE +/- 0.001244, N = 14SE +/- 0.001295, N = 14SE +/- 0.001228, N = 14SE +/- 0.303704, N = 15SE +/- 0.002491, N = 14SE +/- 0.748737, N = 15SE +/- 0.453232, N = 155.7010006.0200006.8110006.9810007.2980007.6570008.2630008.9680009.3230009.59600010.25400010.49800012.10100012.55500013.34000014.19600014.38500015.25900015.27100016.57778519.51320024.14528524.36220027.8188671. (CXX) g++ options: -O3 -lOpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLGTX 960GTX 950TITAN RTXRTX 2080 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2060GTX 1660 SUPERGTX 1660GTX TITAN XGTX 1660 TiGTX 980 TiGTX 1070GTX 980GTX 1070 TiGTX 970GTX 1060GTX 1650GTX 1080GTX 1650 SUPERGTX 1050 Ti30060090012001500SE +/- 0.042376, N = 9SE +/- 0.024977, N = 9SE +/- 1.197236, N = 8SE +/- 0.595119, N = 8SE +/- 1.739449, N = 8SE +/- 0.935750, N = 8SE +/- 0.343146, N = 8SE +/- 0.614932, N = 8SE +/- 0.455030, N = 8SE +/- 1.146962, N = 8SE +/- 0.488651, N = 8SE +/- 0.790748, N = 8SE +/- 0.570026, N = 8SE +/- 0.519549, N = 8SE +/- 0.287953, N = 8SE +/- 0.409086, N = 7SE +/- 0.367985, N = 8SE +/- 0.217923, N = 8SE +/- 1.034930, N = 7SE +/- 0.445319, N = 7SE +/- 2.023658, N = 7SE +/- 0.481963, N = 7SE +/- 0.533801, N = 7SE +/- 0.754451, N = 74.9110004.919000277.232121319.914127367.022003377.722500400.383625406.042122413.845127528.367744594.438004606.699883624.175743654.815865660.548249697.546291749.288002754.284012841.188581894.084865895.430429921.6841521087.1681261214.9940011. (CXX) g++ options: -O3 -lOpenCL

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1650GTX 1660GTX 1650 SUPERGTX 950GTX 1660 TiGTX 1060GTX 960GTX 1660 SUPERRTX 2060GTX 1070RTX 2070RTX 2060 SUPERRTX 2080 SUPERGTX 1080GTX 970RTX 2070 SUPERGTX 980RTX 2080RTX 2080 TiTITAN RTXGTX 980 TiGTX TITAN X60120180240300Min: 5.55 / Avg: 37.62 / Max: 70.94Min: 6.72 / Avg: 45.57 / Max: 122.32Min: 6.47 / Avg: 47.87 / Max: 99.24Min: 8.46 / Avg: 57.65 / Max: 109.21Min: 7.22 / Avg: 59.54 / Max: 132.74Min: 6.24 / Avg: 64.43 / Max: 128.04Min: 8.45 / Avg: 64.56 / Max: 143.77Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 9.59 / Avg: 74.07 / Max: 165.3Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 7.57 / Avg: 85.38 / Max: 180.92Min: 9.27 / Avg: 88.74 / Max: 180.97Min: 8.85 / Avg: 91.93 / Max: 248.16Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 15.21 / Avg: 95.21 / Max: 176.52Min: 14.36 / Avg: 96.17 / Max: 217.58Min: 15.1 / Avg: 102.77 / Max: 192.38Min: 13.71 / Avg: 103.45 / Max: 219.93Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 24.02 / Avg: 126.58 / Max: 312.98Min: 15.33 / Avg: 131.28 / Max: 252.57Min: 16.01 / Avg: 139.4 / Max: 257.78

GPU Temperature Monitor

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

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 2080 TiTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 1660 SUPERGTX 1660GTX 1070 TiGTX 1650 SUPERGTX TITAN XGTX 1070GTX 980 TiGTX 980GTX 1650GTX 1060GTX 970GTX 960GTX 1050 TiGTX 950246810SE +/- 0.020, N = 2SE +/- 0.005, N = 3SE +/- 0.041, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 37.1367.1176.5726.5366.2495.8655.7895.4164.7894.6344.6294.4124.2594.1224.0814.0523.8573.2713.2533.1812.9952.1542.0841.8021. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

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 SUPERGTX 1080RTX 2060 SUPERRTX 2070RTX 2060GTX 1070 TiGTX 1070GTX TITAN XGTX 980 TiGTX 1660 TiGTX 1660 SUPERGTX 980GTX 1060GTX 1660GTX 970GTX 1650 SUPERGTX 1650GTX 1050 TiGTX 960GTX 9505K10K15K20K25KSE +/- 20.50, N = 3SE +/- 55.16, N = 3SE +/- 79.08, N = 3SE +/- 77.45, N = 3SE +/- 28.58, N = 3SE +/- 57.21, N = 3SE +/- 61.94, N = 3SE +/- 70.73, N = 3SE +/- 64.75, N = 3SE +/- 85.75, N = 3SE +/- 27.94, N = 3SE +/- 28.99, N = 3SE +/- 56.77, N = 3SE +/- 54.30, N = 3SE +/- 43.89, N = 3SE +/- 28.32, N = 3SE +/- 3.38, N = 3SE +/- 36.50, N = 3SE +/- 19.16, N = 3SE +/- 6.17, N = 3SE +/- 2.73, N = 3SE +/- 10.44, N = 3SE +/- 16.29, N = 32242421839175011544214730126621233512311102909947975090668283773373666265593358955163515131012565243019821. (CXX) g++ options: -flto -pthread

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: LuxCore BenchmarkTITAN RTXRTX 2080 TiRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1070 TiGTX 1660GTX 1080GTX 1070GTX 1660 TiGTX TITAN XGTX 980 TiGTX 980GTX 1060GTX 1650GTX 970GTX 1650 SUPERGTX 960GTX 1050 TiGTX 9501.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.994.753.693.623.553.543.492.792.262.242.202.132.122.112.092.001.631.531.511.461.360.970.960.81

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1660GTX 1070 TiGTX 1660 TiGTX TITAN XGTX 1070GTX 1080GTX 980 TiGTX 980GTX 1060GTX 1650GTX 970GTX 1650 SUPERGTX 960GTX 1050 TiGTX 9501.34552.6914.03655.3826.7275SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 +/- 0.00, 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 +/- 0.04, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 35.985.674.444.384.324.204.173.342.632.562.552.512.502.462.452.361.931.781.731.731.611.151.130.98

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismTITAN RTXRTX 2080 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2060GTX 1070GTX 980 TiGTX TITAN XGTX 1660 SUPERGTX 1660GTX 1060GTX 1070 TiGTX 980GTX 1660 TiGTX 970GTX 1080GTX 1050 TiGTX 1650GTX 950GTX 960GTX 1650 SUPER3691215SE +/- 0.18, N = 4SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 312.7312.3311.3210.9810.219.249.147.976.626.596.475.615.585.415.385.115.014.814.233.983.933.222.842.73

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1660GTX 1080GTX 1070 TiGTX TITAN XGTX 1070GTX 980 TiGTX 1650 SUPERGTX 980GTX 1650GTX 970GTX 1060GTX 1050 TiGTX 960GTX 9500.50181.00361.50542.00722.509SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.232.231.931.901.871.331.301.171.091.070.990.990.980.980.920.920.810.780.670.670.650.460.440.39

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 1080GTX 1660 TiGTX 1660 SUPERGTX 1070 TiGTX 1660GTX 1650 SUPERGTX 1070GTX TITAN XGTX 980 TiGTX 1650GTX 1060GTX 980GTX 970GTX 960GTX 1050 TiGTX 950100M200M300M400M500MSE +/- 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 +/- 528438.95, N = 8SE +/- 340263.98, N = 7SE +/- 173522.04, N = 7SE +/- 459096.61, N = 7SE +/- 481764.73, N = 7SE +/- 421595.14, N = 7SE +/- 327094.24, N = 7SE +/- 479054.57, N = 6SE +/- 353641.55, N = 6SE +/- 92918.17, N = 6SE +/- 339240.54, N = 6SE +/- 4075144.18, N = 15SE +/- 113731.50, N = 5SE +/- 68943.82, N = 4SE +/- 67025.37, N = 4SE +/- 40239.48, N = 3480798376.6448915216.6374422420.6345359936.4323061985.4284631717.4281931310.0252924048.7231826397.8210891296.2200846066.4194875210.8193795979.5186025762.6184077179.7162891036.9148357386.1132266243.9130290433.8121139566.8113624502.079940246.775842143.461530230.31. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 950GTX 1080GTX 1650 SUPERGTX 1070GTX TITAN XGTX 980 TiGTX 1650GTX 960GTX 1060GTX 980GTX 97020040060080010001013.20962.08831.53754.61728.37689.61642.98553.15502.09497.00416.11414.87406.50399.75348.12346.43327.28290.51288.09280.52249.04223.07

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: Single PrecisionRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERRTX 2060GTX 1070 TiGTX 1070GTX TITAN XGTX 980 TiGTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 980GTX 1060GTX 970GTX 1650GTX 960GTX 1050 TiGTX 9503K6K9K12K15KSE +/- 66.33, N = 15SE +/- 619.26, N = 15SE +/- 8.02, N = 14SE +/- 14.62, N = 14SE +/- 4.39, N = 14SE +/- 11.17, N = 14SE +/- 10.00, N = 13SE +/- 2.35, N = 13SE +/- 6.45, N = 13SE +/- 2.95, N = 12SE +/- 12.17, N = 15SE +/- 9.14, N = 14SE +/- 4.87, N = 13SE +/- 6.62, N = 13SE +/- 8.38, N = 13SE +/- 5.87, N = 13SE +/- 1.39, N = 13SE +/- 23.81, N = 15SE +/- 2.22, N = 13SE +/- 0.70, N = 11SE +/- 0.54, N = 12SE +/- 1.32, N = 15SE +/- 1.64, N = 13SE +/- 0.35, N = 1116061.0915032.4711758.6510812.529630.838520.978357.968159.157222.287018.906476.926463.105844.905821.195462.595259.294943.064683.964355.284141.793441.362779.322561.982149.601. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERGTX 1080RTX 2080RTX 2070 SUPERGTX 1070 TiRTX 2070GTX 1070RTX 2060 SUPERGTX TITAN XGTX 980 TiRTX 2060GTX 980GTX 1660 TiGTX 1060GTX 1660 SUPERGTX 1660GTX 970GTX 1650 SUPERGTX 960GTX 1650GTX 1050 TiGTX 950100200300400500SE +/- 1.13, N = 14SE +/- 0.56, N = 15SE +/- 0.08, N = 15SE +/- 0.15, N = 14SE +/- 0.56, N = 14SE +/- 0.00, N = 14SE +/- 0.08, N = 14SE +/- 0.11, N = 15SE +/- 0.06, N = 13SE +/- 0.01, N = 13SE +/- 0.07, N = 14SE +/- 0.12, N = 13SE +/- 0.00, N = 13SE +/- 0.18, N = 13SE +/- 0.12, N = 13SE +/- 0.23, N = 13SE +/- 0.22, N = 13SE +/- 0.14, N = 13SE +/- 0.16, N = 13SE +/- 0.15, N = 13SE +/- 0.07, N = 12SE +/- 0.01, N = 12SE +/- 0.02, N = 12SE +/- 0.12, N = 11454.37436.81315.03296.66290.13259.11241.99226.65224.82222.15221.88197.44194.80159.33155.78150.48144.30141.25137.20132.7593.0191.7784.7869.781. (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 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX TITAN XGTX 980 TiGTX 980GTX 1060GTX 970GTX 960GTX 1050 TiGTX 9504K8K12K16K20KSE +/- 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 +/- 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 +/- 1.23, N = 14SE +/- 1.27, N = 13SE +/- 5.50, N = 15SE +/- 2.70, N = 14SE +/- 0.40, N = 13SE +/- 0.81, N = 12SE +/- 2.02, N = 12SE +/- 0.55, N = 1516979.9916323.9411752.1110930.569696.388362.868218.027275.335803.635432.405303.514975.183466.722655.582157.312019.081911.011711.031389.901354.141215.75828.80771.53625.551. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 1080RTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 1650GTX 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 +/- 3.04, N = 11SE +/- 3.59, N = 13SE +/- 2.31, N = 11SE +/- 30.05, N = 15SE +/- 2.28, N = 13SE +/- 0.25, N = 13SE +/- 0.26, N = 13SE +/- 0.29, N = 13SE +/- 1.19, N = 9SE +/- 0.12, N = 12SE +/- 0.33, N = 715103.6114734.0311685.9510845.369754.998435.238264.668182.727339.396647.946174.805888.785440.745313.334993.924167.413474.172379.011. (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 SUPERGTX 1080RTX 2080RTX 2070 SUPERGTX 1070 TiRTX 2070GTX 1070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1060GTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1050 Ti90180270360450SE +/- 15.67, N = 15SE +/- 10.76, N = 15SE +/- 0.96, N = 15SE +/- 0.03, N = 11SE +/- 0.22, N = 15SE +/- 0.15, N = 15SE +/- 0.35, N = 11SE +/- 0.27, N = 14SE +/- 0.10, N = 11SE +/- 0.23, N = 14SE +/- 0.01, N = 13SE +/- 0.08, N = 13SE +/- 0.00, N = 9SE +/- 0.66, N = 15SE +/- 0.10, N = 13SE +/- 0.13, N = 13SE +/- 0.06, N = 12SE +/- 0.03, N = 7413.66409.46315.61296.09291.56260.97240.92226.21225.05221.80196.30157.14151.63144.14141.36133.8892.3784.551. (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.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

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 2080 TiTITAN RTXRTX 2080RTX 2080 SUPERRTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1070 TiGTX 1080GTX 1660 TiGTX 1660 SUPERGTX 1070GTX 1660GTX 1650 SUPERGTX TITAN XGTX 980 TiGTX 1060GTX 980GTX 1650GTX 970GTX 960GTX 1050 TiGTX 9500.13390.26780.40170.53560.6695SE +/- 0.00046, N = 4SE +/- 0.00134, N = 4SE +/- 0.00054, N = 4SE +/- 0.00097, N = 4SE +/- 0.00025, N = 4SE +/- 0.00060, N = 4SE +/- 0.00191, N = 4SE +/- 0.00144, N = 4SE +/- 0.00101, N = 4SE +/- 0.00174, N = 4SE +/- 0.00217, N = 4SE +/- 0.00026, N = 4SE +/- 0.00276, N = 4SE +/- 0.00142, N = 4SE +/- 0.00061, N = 4SE +/- 0.00182, N = 4SE +/- 0.00163, N = 4SE +/- 0.00077, N = 3SE +/- 0.00291, N = 3SE +/- 0.00088, N = 3SE +/- 0.00170, N = 3SE +/- 0.00332, N = 3SE +/- 0.00392, N = 3SE +/- 0.00145, N = 30.190820.191950.192650.193290.196250.200570.203620.206350.223000.224260.228000.231770.240220.242900.262110.271030.291380.309570.335660.345030.360710.507850.532330.59513

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 1080GTX 1070GTX 1660GTX 980GTX 970GTX 1650GTX 950GTX 9601122334455SE +/- 0.02, N = 13SE +/- 0.11, N = 15SE +/- 0.26, N = 13SE +/- 0.23, N = 14SE +/- 0.04, N = 13SE +/- 0.13, N = 13SE +/- 0.06, N = 13SE +/- 0.04, N = 13SE +/- 0.05, N = 13SE +/- 0.05, N = 13SE +/- 0.02, N = 13SE +/- 0.01, N = 1348.1038.3035.8028.3024.6021.5018.6017.3015.4012.809.549.53

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 1080GTX 980 TiGTX 1070 TiGTX 1660 SUPERGTX 1660 TiGTX 1070GTX 1660GTX 980GTX 970GTX 1650 SUPERGTX 1060GTX 1650GTX 960GTX 1050 TiGTX 95070140210280350324.55310.81234.07224.39221.19207.54206.08166.10154.42148.47143.52141.67135.66133.35132.84119.11110.8196.2092.3791.7377.4158.9055.4351.16

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 2060 SUPERRTX 2070RTX 2060GTX 1080GTX 1070 TiGTX 1660 TiGTX 1070GTX 1660 SUPERGTX TITAN XGTX 980 TiGTX 1660GTX 1650 SUPERGTX 980GTX 1060GTX 970GTX 1650GTX 960GTX 1050 TiGTX 9506001200180024003000SE +/- 1.27, N = 8SE +/- 1.82, N = 7SE +/- 6.26, N = 8SE +/- 2.80, N = 7SE +/- 2.51, N = 8SE +/- 3.83, N = 8SE +/- 3.47, N = 8SE +/- 0.92, N = 7SE +/- 1.79, N = 7SE +/- 0.31, N = 7SE +/- 1.12, N = 7SE +/- 3.20, N = 7SE +/- 0.83, N = 7SE +/- 3.21, N = 7SE +/- 2.34, N = 5SE +/- 1.27, N = 7SE +/- 0.88, N = 6SE +/- 0.78, N = 6SE +/- 2.10, N = 6SE +/- 0.24, N = 6SE +/- 0.63, N = 7SE +/- 0.57, N = 6SE +/- 0.93, N = 6SE +/- 0.31, N = 52856.832751.852432.732322.392287.032012.371996.601719.711665.721485.781427.431392.461380.681369.201290.481199.661080.431053.49987.07910.91814.50609.16594.41508.66

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2060 SUPERRTX 2070 SUPERRTX 2080RTX 2070RTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1070GTX 1080GTX 1070 TiGTX 1660GTX TITAN XGTX 980 TiGTX 1060GTX 980GTX 1650 SUPERGTX 970GTX 1650GTX 1050 Ti4080120160200SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3198.37187.73158.82154.81154.74154.35153.03125.33111.39108.06103.7999.8299.6497.9493.0389.2883.5280.4777.1073.2565.5957.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1080GTX TITAN XGTX 1660 SUPERGTX 1070 TiGTX 1070GTX 1660 TiGTX 980 TiGTX 1660GTX 980GTX 1060GTX 1650 SUPERGTX 970GTX 1650GTX 1050 TiGTX 960GTX 9505001000150020002500SE +/- 2.36, N = 8SE +/- 1.58, N = 8SE +/- 1.80, N = 9SE +/- 1.77, N = 8SE +/- 1.66, N = 8SE +/- 1.35, N = 8SE +/- 1.79, N = 8SE +/- 2.01, N = 8SE +/- 0.60, N = 8SE +/- 0.79, N = 8SE +/- 1.11, N = 8SE +/- 0.27, N = 8SE +/- 1.14, N = 8SE +/- 0.87, N = 8SE +/- 0.66, N = 8SE +/- 0.61, N = 7SE +/- 0.69, N = 7SE +/- 0.68, N = 7SE +/- 0.61, N = 7SE +/- 0.28, N = 7SE +/- 0.31, N = 7SE +/- 0.34, N = 6SE +/- 0.05, N = 6SE +/- 0.17, N = 62544.672406.161815.921726.601712.751585.761575.651285.581154.131106.291080.111070.901052.641038.861029.36858.90810.50775.73740.17716.82573.67481.31434.07408.28

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 960RTX 2060 SUPERRTX 2070GTX 1080RTX 2060GTX 1070 TiGTX 1070GTX TITAN XGTX 1660 TiGTX 980 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 980GTX 1060GTX 970GTX 1650GTX 1050 Ti80160240320400SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.38, N = 4SE +/- 0.40, N = 4SE +/- 0.32, N = 3SE +/- 110.03, N = 12SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.62, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3355.85353.54265.91243.51221.49213.49204.35202.42190.14172.73159.43151.71148.84143.22138.33135.31120.84115.70109.50108.5697.8380.6860.92

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 1080GTX 1070GTX 1070 TiGTX TITAN XGTX 1660 SUPERGTX 980 TiGTX 1660 TiGTX 1660GTX 980GTX 1060GTX 970GTX 1650 SUPERGTX 1650GTX 1050 TiGTX 960GTX 95050100150200250SE +/- 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 +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3227.30212.11159.79151.99149.69147.87146.90125.23112.28108.46108.23105.39100.5199.8498.9987.2582.2179.1373.8973.1759.3749.7145.5441.97

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 1080RTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX TITAN XGTX 1660GTX 1650 SUPERGTX 980 TiGTX 980GTX 1060GTX 970GTX 1650GTX 960GTX 1050 TiGTX 9502004006008001000SE +/- 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 +/- 0.35, N = 4SE +/- 0.19, N = 4SE +/- 0.07, N = 4SE +/- 0.44, N = 4SE +/- 0.06, N = 4SE +/- 0.17, N = 4SE +/- 0.30, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.57, N = 4SE +/- 0.41, N = 4SE +/- 0.09, N = 4SE +/- 0.11, N = 4SE +/- 0.34, N = 4SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3775.69753.75588.04544.54500.26444.84438.26398.82390.07331.84314.83313.08298.77294.10289.42269.17267.88228.46227.23203.08201.27143.15130.66111.25

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 950TITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070GTX 1080RTX 2060 SUPERGTX 1070 TiRTX 2060GTX 1070GTX TITAN XGTX 1660 TiGTX 980 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 980GTX 1060GTX 970GTX 1650GTX 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 +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.10, N = 3SE +/- 0.40, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 3SE +/- 0.25, N = 3SE +/- 0.87, N = 3SE +/- 0.10, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 31000000000.00248.79237.29183.53164.78155.42132.03131.34128.91116.89112.2999.8897.4092.4190.7486.6185.4677.9872.2171.7864.5353.3537.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 960GTX 950TITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070GTX 1080RTX 2060 SUPERGTX 1070 TiRTX 2060GTX 1070GTX TITAN XGTX 1660 TiGTX 980 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 980GTX 970GTX 1650GTX 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 +/- 0.31, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 1.11, N = 3SE +/- 0.22, N = 3SE +/- 1.20, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.61, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 31000000000.001000000000.00196.63187.92145.57130.23123.03104.21103.83101.7992.8788.9579.1275.7373.3871.1868.8167.7461.8556.6256.6051.1442.3229.42

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 MyocyteGTX 1650 SUPERGTX 1650GTX 1660 SUPERRTX 2080 SUPERGTX 1660 TiRTX 2060 SUPERGTX 1660RTX 2070 SUPERRTX 2060RTX 2080RTX 2080 TiRTX 2070TITAN RTXGTX 1080GTX 1070GTX 1060GTX 1050 TiGTX 1070 TiGTX 960GTX 950GTX 970GTX 980GTX TITAN XGTX 980 Ti1224364860SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 333.6933.7234.1334.2134.4134.5634.7634.7834.9035.0935.2435.5135.7738.0038.0038.1139.0542.0845.5145.5448.9250.5553.8355.171. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080GTX 1080RTX 2070 SUPERRTX 2070GTX 1070 TiRTX 2060 SUPERGTX 1070RTX 2060GTX TITAN XGTX 980 TiGTX 1660 TiGTX 1660 SUPERGTX 980GTX 1660GTX 1060GTX 1650 SUPERGTX 970GTX 1650GTX 960GTX 1050 TiGTX 950612182430SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.006, N = 7SE +/- 0.008, N = 7SE +/- 0.018, N = 6SE +/- 0.011, N = 6SE +/- 0.005, N = 6SE +/- 0.006, N = 6SE +/- 0.008, N = 6SE +/- 0.019, N = 6SE +/- 0.004, N = 5SE +/- 0.038, N = 5SE +/- 0.092, N = 5SE +/- 0.016, N = 5SE +/- 0.009, N = 5SE +/- 0.058, N = 4SE +/- 0.015, N = 4SE +/- 0.012, N = 4SE +/- 0.021, N = 4SE +/- 0.026, N = 4SE +/- 0.004, N = 3SE +/- 0.055, N = 3SE +/- 0.027, N = 3SE +/- 0.028, N = 34.2504.4145.7186.1966.4576.8377.7677.7917.9148.2058.8369.15510.07110.84711.48211.77411.89312.00212.48713.18517.82318.40921.26723.8341. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteGTX 1650GTX 1660 SUPERGTX 1650 SUPERRTX 2060RTX 2080 SUPERGTX 1660 TiGTX 1660RTX 2070 SUPERRTX 2060 SUPERRTX 2080 TiTITAN RTXRTX 2080RTX 2070GTX 1060GTX 1070GTX 1080GTX 1050 TiGTX 1070 TiGTX 950GTX 960GTX 970GTX 980GTX TITAN XGTX 980 Ti1428425670SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 339.9039.9139.9440.0040.0140.0440.0740.0940.2240.3540.3740.4940.5042.7042.9643.2043.2847.7251.9752.3356.5059.4763.6064.761. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 SUPERRTX 2080 TiRTX 2080RTX 2070 SUPERRTX 2060RTX 2070RTX 2060 SUPERGTX 1080GTX 1660 TiGTX 1070 TiGTX 1660 SUPERGTX 1650 SUPERGTX 1660GTX 1070GTX TITAN XGTX 980 TiGTX 1650GTX 980GTX 1060GTX 970GTX 960GTX 1050 TiGTX 95020406080100SE +/- 0.57, N = 11SE +/- 0.41, N = 11SE +/- 0.39, N = 11SE +/- 0.38, N = 11SE +/- 0.44, N = 11SE +/- 0.29, N = 11SE +/- 0.47, N = 11SE +/- 0.24, N = 11SE +/- 0.21, N = 11SE +/- 0.37, N = 11SE +/- 0.38, N = 11SE +/- 0.37, N = 11SE +/- 0.27, N = 11SE +/- 0.25, N = 11SE +/- 0.23, N = 11SE +/- 0.23, N = 11SE +/- 0.25, N = 11SE +/- 0.21, N = 11SE +/- 0.29, N = 11SE +/- 0.32, N = 11SE +/- 0.20, N = 10SE +/- 0.19, N = 10SE +/- 0.14, N = 10SE +/- 0.19, N = 1076.6476.1075.7974.7374.4573.3172.5772.5070.6970.0369.1868.1567.9367.8266.2165.9564.5462.9661.9461.6560.2052.9251.3447.291. (CXX) g++ options: -rdynamic -lOpenCL

62 Results Shown

ArrayFire:
  BLAS OpenCL
  Conjugate Gradient OpenCL
cl-mem:
  Read
  Write
  Copy
clpeak:
  Global Memory Bandwidth
  Single-Precision Float
  Double-Precision Double
  Integer Compute INT
Darktable:
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
  GPU Power Consumption Monitor
  GPU Temp Monitor
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Room - OpenCL
  Server Rack - OpenCL
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenCL - Euclidean Cluster
  OpenCL - NDT Mapping
  OpenCL - Points2Image
  NVIDIA CUDA - Euclidean Cluster
  NVIDIA CUDA - NDT Mapping
  NVIDIA CUDA - Points2Image
FAHBench
FinanceBench:
  Black-Scholes OpenCL
  Monte-Carlo OpenCL
GPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
GROMACS
LeelaChessZero
LuxCoreRender OpenCL:
  LuxCore Benchmark
  DLSC
  Rainbow Colors and Prism
  Food
MandelGPU
Meta Performance Per Watts
Mixbench:
  OpenCL - Single Precision
  OpenCL - Double Precision
  OpenCL - Integer
  NVIDIA CUDA - Single Precision
  NVIDIA CUDA - Double Precision
  NVIDIA CUDA - Half Precision
  NVIDIA CUDA - Integer
NAMD CUDA
NeatBench
OctaneBench
PlaidML:
  Yes - Inference - Mobilenet - OpenCL
  No - Training - Mobilenet - OpenCL
  No - Inference - Mobilenet - OpenCL
  No - Inference - Inception V3 - OpenCL
  No - Inference - DenseNet 201 - OpenCL
  No - Inference - IMDB LSTM - OpenCL
  No - Inference - VGG16 - OpenCL
  No - Inference - VGG19 - OpenCL
Rodinia:
  OpenCL Myocyte
  OpenCL Particle Filter
  NVIDIA CUDA GPU Myocyte
ViennaCL