NVIDIA Linux OpenCL CUDA RTX SUPER Compute

NVIDIA GeForce RTX SUPER Linux OpenCL/CUDA GPU compute benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1909299-AS-RTXSUPERC34
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CPU Massive 4 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 3 Tests
NVIDIA GPU Compute 10 Tests
OpenCL 8 Tests

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
GTX 970
September 28 2019
  1 Hour, 51 Minutes
GTX 980
September 28 2019
  1 Hour, 51 Minutes
GTX 980 Ti
September 26 2019
  1 Hour, 46 Minutes
GTX 1060
September 27 2019
  1 Hour, 47 Minutes
GTX 1070
September 28 2019
  1 Hour, 41 Minutes
GTX 1070 Ti
September 27 2019
  1 Hour, 47 Minutes
GTX 1080
September 28 2019
  1 Hour, 37 Minutes
GTX 1080 Ti
September 28 2019
  1 Hour, 27 Minutes
GTX 1660
September 28 2019
  1 Hour, 47 Minutes
GTX 1660 Ti
September 28 2019
  1 Hour, 44 Minutes
RTX 2060
September 27 2019
  1 Hour, 35 Minutes
RTX 2060 SUPER
September 26 2019
  1 Hour, 38 Minutes
RTX 2070
September 27 2019
  1 Hour, 37 Minutes
RTX 2070 SUPER
September 26 2019
  1 Hour, 40 Minutes
RTX 2080
September 27 2019
  1 Hour, 36 Minutes
RTX 2080 SUPER
September 27 2019
  1 Hour, 38 Minutes
RTX 2080 Ti
September 29 2019
  1 Hour, 27 Minutes
TITAN RTX
September 27 2019
  1 Hour, 28 Minutes
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  1 Hour, 40 Minutes

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NVIDIA Linux OpenCL CUDA RTX SUPER ComputeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0802 BIOS)Intel Cannon Lake PCH16384MBSamsung SSD 970 EVO 250GBeVGA 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 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)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)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 (1605/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 19.045.0.0-29-generic (x86_64)5.3.0-999-generic (x86_64) 20190914GNOME Shell 3.32.2X Server 1.20.4NVIDIA 435.214.6.0GCC 8.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionNVIDIA Linux OpenCL CUDA RTX SUPER Compute BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX 980 Ti: GPU Compute Cores: 2816- 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 1080 Ti: GPU Compute Cores: 3584- GTX 1660: 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- GTX 970, GTX 980, GTX 980 Ti, GTX 1060, GTX 1070, GTX 1070 Ti, GTX 1080, GTX 1080 Ti, GTX 1660, GTX 1660 Ti, RTX 2060, RTX 2070, RTX 2070 SUPER, RTX 2080, RTX 2080 SUPER, RTX 2080 Ti, TITAN RTX: Python 2.7.16 + Python 3.7.3 - l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

GTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXLogarithmic Result OverviewPhoronix Test SuiteclpeakSHOC Scalable HeterOgeneous ComputingLuxMarkPlaidMLOctaneBenchcl-memFAHBenchDarktableRodiniaLeelaChessZeroNAMD CUDAJuliaGPUViennaCL

GTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXLogarithmic Per Watt Result OverviewPhoronix Test SuiteclpeakPlaidMLcl-memSHOC Scalable HeterOgeneous ComputingJuliaGPUViennaCLFAHBenchLuxMarkLeelaChessZeroOctaneBenchP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

NVIDIA Linux OpenCL CUDA RTX SUPER Computecl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLfahbench: juliagpu: GPUlczero: OpenCLluxmark: GPU - Luxball HDRluxmark: GPU - Microphoneluxmark: GPU - Hotelnamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scoreplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Inception V3 - OpenCLplaidml: Yes - Inference - ResNet 50 - OpenCLplaidml: Yes - Inference - NASNer Large - OpenCLplaidml: Yes - Inference - DenseNet 201 - OpenCLplaidml: Yes - Inference - VGG16 - OpenCLplaidml: Yes - Inference - VGG19 - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLrodinia: OpenCL Myocyterodinia: OpenCL Particle Filtershoc: OpenCL - Max SP Flopsshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashviennacl: OpenCL LU FactorizationGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX124.77142.10132.60143.483888.16137.471140.294.425.783.1691.53169258044.90207.8411732798527300.3636895.60841.4888.16116.0521.4279.7149.7639.34671.4994.72181.87204.3260.3247.7045.4812.994362.31411.296.5056.95143.40164.50151.50164.254476.69159.681312.063.925.743.10102.86181882709.77280.9913246891430480.33110109.70973.39101.92142.1424.2492.9255.7043.63759.43105.64203.91231.6668.9553.4947.3811.695052.73458.357.4959.21216.83265.33241.50263.225538.75196.601610.283.274.121.51116.02195653728.47466.84168711109638850.28675142.201202.77116.31162.6330.64111.4671.2656.13990.12135.14247.47270.0087.3968.4752.139.956213.97725.989.2262.01137.20153.50144.57146.624199.71149.581267.893.654.071.28102.61182188318.67262.4112245708626480.3178991.44908.4397.83130.6423.1691.0756.0744.37726.30104.44196.00224.8969.3154.7834.6911.934788.92326.687.2658.67182.00205.27190.90196.476269.49223.911685.052.893.921.11140.29216942144.93642.1217290998338700.23957132.861288.94141.55196.0133.07127.0280.2763.56987.69147.17276.89315.3797.3276.8935.108.267115.39478.5410.6163.86182.70205.27190.03197.266770.97242.632076.932.933.971.17138.21220447755.87753.69169251025941700.22269141.351371.21147.04205.8535.41130.1592.0373.121009.26153.34294.36333.03114.0390.3438.707.887715.42525.8911.7064.68205.93228.80214.67222.098314.29297.942430.742.723.941.09155.22237914974.401146.7513788871638070.20978147.981544.50173.79240.6240.38143.53106.0983.831123.85184.80337.47399.00128.05101.0034.876.499407.75614.6914.2566.67283.20337.53340.27328.9011720.57414.963301.892.293.921.05198.25262248899.331886.30216891372156490.19669212.042162.58228.68333.5456.64191.31145.42115.031672.73257.55496.24523.98175.37138.6835.914.9613230.77982.2319.7269.09145.37162.90148.87157.604610.01168.444657.793.354.011.18126.64230919642.13335.8615162979437330.25031118.491160.52137.66156.5028.99102.8366.2452.52814.65116.90228.14287.6884.8367.2430.9711.875329.84452.8911.8765.10208.50250.23208.67234.674793.66185.124775.452.924.021.15139.81239300837.60420.04161471100338050.23185132.281394.05161.33172.6834.12114.5873.1858.031002.00140.05259.43315.8392.4573.3530.6710.825893.41665.6612.9866.06237.77296.20241.20275.865329.07231.445269.012.223.730.83183.41251925176.90704.69216831375448330.20250164.521694.07193.75220.4441.11154.1989.5571.071232.47167.87319.25389.40110.9388.0431.118.907320.73818.4416.0467.92287.80395.67333.20367.927089.50263.117023.071.953.680.75205.20264172441.47998.17300931850961480.19336205.231983.82219.76250.9848.96179.51102.5880.821531.01199.43374.71440.79128.22101.1730.427.878378.87971.2418.2269.17284.43395.70322.67368.967198.64268.327161.481.933.670.75204.71267086274.53999.75300971844161500.19440206.881969.50220.99251.0749.94176.49105.6083.561516.96198.03376.73446.23131.54103.8931.647.758528.70976.7818.7769.41291.87395.67319.57369.118502.71310.278570.601.933.710.80229.12275868151.171604.21297342049965650.19501220.762264.97239.61283.9855.24190.01123.2097.821649.17215.85421.58499.69154.64122.3230.766.829869.341088.1721.7870.45289.20395.70331.50368.478883.90345.819660.921.903.710.80242.75280162469.671879.99291641991665900.19307222.882292.38268.33305.7658.47189.28133.20105.541663.87238.73441.24548.83164.05129.5831.656.2210952.771100.0024.0770.96301.23436.27345.77405.0010335.50378.9810404.711.823.690.79256.83286818331.272105.26301792016468390.19385233.562437.48301.11327.8064.80200.38145.65115.441762.00259.26468.70589.86180.45143.0230.635.7412015.501203.5726.5671.47324.40544.33441.23506.3313532.74521.9013609.331.643.660.75301.89299834728.803032.10429742863192150.18909309.042750.57363.16424.0784.97254.45194.83154.202335.46343.49634.09758.21234.65186.1931.054.3916656.201485.7334.9172.71322.20566.70495.37528.8914203.87547.9713841.251.643.660.74301.93303198573.973126.48465463075698360.18867322.762842.38373.71433.8187.17263.13204.67162.052466.66347.93648.36790.77247.83196.4431.694.2417334.001578.2936.3972.96OpenBenchmarking.org

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: CopyTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350SE +/- 0.67, N = 3SE +/- 0.40, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3322.20324.40301.23289.20291.87284.43287.80237.77216.83143.40124.77208.50145.37283.20205.93182.70182.00137.201. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.72681.45362.18042.90723.6342.173.232.832.282.822.442.432.661.451.040.961.961.581.621.651.531.351.25

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060120240360480600SE +/- 0.40, N = 3SE +/- 0.38, N = 3SE +/- 0.27, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 1.50, N = 8SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3566.70544.33436.27395.70395.67395.70395.67296.20265.33164.50142.10250.23162.90337.53228.80205.27205.27153.501. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.86631.73262.59893.46524.33153.373.383.853.263.473.283.092.761.761.191.052.671.692.101.901.861.681.34

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 1.39, N = 3SE +/- 0.35, N = 3SE +/- 0.54, N = 3SE +/- 0.15, N = 3SE +/- 0.43, N = 3SE +/- 1.00, N = 3SE +/- 0.82, N = 3SE +/- 0.40, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3495.37441.23345.77331.50319.57322.67333.20241.20241.50151.50132.60208.67148.87340.27214.67190.03190.90144.571. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.83481.66962.50443.33924.1743.133.462.852.742.603.712.612.241.481.031.072.331.612.021.641.761.541.44

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 0.66, N = 3SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.52, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.71, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3528.89506.33405.00368.47369.11368.96367.92275.86263.22164.25143.48234.67157.60328.90222.09197.26196.47146.621. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106036912156.189.154.865.095.413.334.882.021.651.522.243.162.732.261.922.631.84

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 228.75, N = 15SE +/- 207.30, N = 3SE +/- 124.22, N = 3SE +/- 7.41, N = 3SE +/- 76.18, N = 15SE +/- 81.15, N = 15SE +/- 84.87, N = 15SE +/- 77.72, N = 3SE +/- 44.36, N = 15SE +/- 46.38, N = 8SE +/- 40.24, N = 15SE +/- 61.47, N = 15SE +/- 7.83, N = 3SE +/- 5.50, N = 3SE +/- 3.14, N = 3SE +/- 7.63, N = 3SE +/- 3.03, N = 3SE +/- 1.88, N = 314203.8713532.7410335.508883.908502.717198.647089.505329.075538.754476.693888.164793.664610.0111720.578314.296770.976269.494199.711. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1080GTX 1070 TiGTX 107050100150200250103.61222.0984.4979.25121.6274.32111.74109.2042.0036.4939.3671.3589.1184.4670.63

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorTITAN RTXRTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 980 TiGTX 980GTX 970GTX 1660 Ti60120180240300Min: 50.6 / Avg: 137.09 / Max: 308.7Min: 47.5 / Avg: 69.91 / Max: 138.9Min: 48.2 / Avg: 96.86 / Max: 180.2Min: 46.6 / Avg: 63.45 / Max: 103Min: 54.9 / Avg: 131.87 / Max: 194.2Min: 52.5 / Avg: 122.69 / Max: 181.1Min: 51.4 / Avg: 98.78 / Max: 148.8Min: 45.5 / Avg: 67.18 / Max: 127.1

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060120240360480600SE +/- 1.16, N = 3SE +/- 1.46, N = 3SE +/- 0.03, N = 3SE +/- 0.92, N = 3SE +/- 0.77, N = 3SE +/- 0.81, N = 3SE +/- 0.71, N = 3SE +/- 0.01, N = 3SE +/- 0.35, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 1.14, N = 3SE +/- 0.76, N = 3SE +/- 0.02, N = 3SE +/- 0.71, N = 3SE +/- 0.14, N = 3547.97521.90378.98345.81310.27268.32263.11231.44196.60159.68137.47185.12168.44414.96297.94242.63223.91149.581. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.60751.2151.82252.433.03752.702.652.502.252.251.951.851.841.091.090.981.721.732.492.202.141.901.46

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200Min: 51.5 / Avg: 203.24 / Max: 225.1Min: 50.3 / Avg: 197 / Max: 217.1Min: 47.6 / Avg: 151.43 / Max: 166.9Min: 49.8 / Avg: 153.89 / Max: 172.5Min: 47 / Avg: 137.66 / Max: 150.3Min: 46.9 / Avg: 137.5 / Max: 151.9Min: 47.1 / Avg: 142.14 / Max: 150.8Min: 47.9 / Avg: 126.06 / Max: 143Min: 128.4 / Avg: 179.97 / Max: 191.4Min: 51.6 / Avg: 146.12 / Max: 159.1Min: 93.6 / Avg: 140.29 / Max: 146.2Min: 46.4 / Avg: 107.92 / Max: 119.4Min: 43.9 / Avg: 97.25 / Max: 106.6Min: 51.6 / Avg: 166.5 / Max: 193Min: 46.2 / Avg: 135.52 / Max: 152.6Min: 51 / Avg: 113.26 / Max: 124.1Min: 46 / Avg: 117.77 / Max: 137.1Min: 44.7 / Avg: 102.22 / Max: 117.3

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 156.59, N = 15SE +/- 57.62, N = 3SE +/- 83.79, N = 15SE +/- 4.11, N = 3SE +/- 81.60, N = 15SE +/- 84.78, N = 15SE +/- 76.65, N = 15SE +/- 63.11, N = 3SE +/- 23.09, N = 3SE +/- 0.38, N = 3SE +/- 19.67, N = 3SE +/- 64.34, N = 15SE +/- 32.97, N = 3SE +/- 29.87, N = 15SE +/- 26.46, N = 3SE +/- 0.72, N = 3SE +/- 24.36, N = 3SE +/- 13.36, N = 1513841.2513609.3310404.719660.928570.607161.487023.075269.011610.281312.061140.294775.454657.793301.892430.742076.931685.051267.891. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106030609012015066.5854.7672.16123.0760.3952.7880.7463.259.008.449.1961.3879.9416.5226.8225.5923.8910.83

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorTITAN RTXRTX 2080 SUPERRTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1080 TiGTX 106070140210280350Min: 52.5 / Avg: 207.88 / Max: 366.7Min: 47.9 / Avg: 144.19 / Max: 288.8Min: 47.5 / Avg: 141.91 / Max: 279.4Min: 47.8 / Avg: 135.68 / Max: 254.5Min: 47.4 / Avg: 86.98 / Max: 242.5Min: 46.4 / Avg: 77.81 / Max: 158.1Min: 52.4 / Avg: 199.89 / Max: 328.7Min: 66.2 / Avg: 117.06 / Max: 191

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 2.6.0Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.99451.9892.98353.9784.9725SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.641.641.821.901.931.931.952.223.273.924.422.923.352.292.722.932.893.65

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Masskrug - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601.30052.6013.90155.2026.5025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.663.663.693.713.713.673.683.734.125.745.784.024.013.923.943.973.924.07

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.7111.4222.1332.8443.555SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 8SE +/- 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.740.750.790.800.800.750.750.831.513.103.161.151.181.051.091.171.111.28

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350SE +/- 0.71, N = 3SE +/- 0.90, N = 3SE +/- 0.78, N = 3SE +/- 0.99, N = 3SE +/- 0.60, N = 3SE +/- 0.64, N = 3SE +/- 0.34, N = 3SE +/- 0.61, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.43, N = 3SE +/- 0.53, N = 3SE +/- 0.05, N = 3SE +/- 0.43, N = 3SE +/- 0.17, N = 3301.93301.89256.83242.75229.12204.71205.20183.41116.02102.8691.53139.81126.64198.25155.22138.21140.29102.61

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.32630.65260.97891.30521.63151.331.381.451.381.421.291.271.210.620.650.621.101.111.021.001.100.960.83

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 52.5 / Avg: 226.18 / Max: 324.2Min: 49.7 / Avg: 218.05 / Max: 323.3Min: 64 / Avg: 177.55 / Max: 252.2Min: 47.5 / Avg: 176.01 / Max: 263Min: 46.6 / Avg: 161.4 / Max: 230Min: 46 / Avg: 158.7 / Max: 226.7Min: 48.5 / Avg: 161.35 / Max: 226.3Min: 45.7 / Avg: 151.46 / Max: 214.2Min: 56.3 / Avg: 186.17 / Max: 244.4Min: 49.8 / Avg: 159.19 / Max: 211.9Min: 48.8 / Avg: 147.69 / Max: 193Min: 47.6 / Avg: 127.19 / Max: 170.3Min: 46.5 / Avg: 114.3 / Max: 152.8Min: 77.6 / Avg: 195.24 / Max: 264.4Min: 44.9 / Avg: 154.62 / Max: 208.2Min: 49.1 / Avg: 125.16 / Max: 155Min: 43.8 / Avg: 145.58 / Max: 193.2Min: 66.3 / Avg: 124.04 / Max: 159.6

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601632486480Min: 37 / Avg: 62.01 / Max: 80Min: 31 / Avg: 60.94 / Max: 77Min: 34 / Avg: 53.35 / Max: 70Min: 30 / Avg: 66.02 / Max: 83Min: 27 / Avg: 43.67 / Max: 69Min: 28 / Avg: 58.64 / Max: 77Min: 29 / Avg: 54.33 / Max: 75Min: 32 / Avg: 57.94 / Max: 72Min: 36 / Avg: 71.62 / Max: 85Min: 29 / Avg: 68.53 / Max: 81Min: 28 / Avg: 52.34 / Max: 68Min: 30 / Avg: 50.73 / Max: 65Min: 28 / Avg: 56.71 / Max: 77Min: 34 / Avg: 67.92 / Max: 84Min: 30 / Avg: 63.66 / Max: 77Min: 39 / Avg: 48.41 / Max: 61Min: 28 / Avg: 61.94 / Max: 76Min: 30 / Avg: 58.15 / Max: 74

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060M120M180M240M300MSE +/- 489061.14, N = 3SE +/- 78810.54, N = 3SE +/- 1165562.77, N = 3SE +/- 169596.23, N = 3SE +/- 389272.10, N = 3SE +/- 633693.84, N = 3SE +/- 369711.60, N = 3SE +/- 121354.48, N = 3SE +/- 78142.08, N = 3SE +/- 52667.10, N = 3SE +/- 383961.59, N = 3SE +/- 495295.96, N = 3SE +/- 197521.26, N = 3SE +/- 540298.84, N = 3SE +/- 341457.11, N = 3SE +/- 97519.45, N = 3SE +/- 76295.47, N = 3SE +/- 137674.47, N = 3303198573.97299834728.80286818331.27280162469.67275868151.17267086274.53264172441.47251925176.90195653728.47181882709.77169258044.90239300837.60230919642.13262248899.33237914974.40220447755.87216942144.93182188318.671. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060600K1200K1800K2400K3000K1923116.671910018.662379445.262691799.292632329.692271141.792670026.702469451.171099178.251325997.881275493.932880366.362790569.691682592.711906369.992260229.901809790.271658141.69

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 0.22.0Backend: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10607001400210028003500SE +/- 28.21, N = 3SE +/- 8.77, N = 3SE +/- 29.82, N = 3SE +/- 21.60, N = 3SE +/- 17.64, N = 7SE +/- 16.93, N = 15SE +/- 18.12, N = 15SE +/- 1.84, N = 3SE +/- 5.67, N = 15SE +/- 2.79, N = 3SE +/- 1.93, N = 15SE +/- 5.83, N = 15SE +/- 4.05, N = 15SE +/- 32.29, N = 3SE +/- 14.70, N = 3SE +/- 8.69, N = 6SE +/- 12.32, N = 15SE +/- 3.68, N = 43126.483032.102105.261879.991604.21999.75998.17704.69466.84280.99207.84420.04335.861886.301146.75753.69642.12262.411. (CXX) g++ options: -lpthread

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604812162015.8114.0012.3210.738.985.786.574.792.161.831.263.132.848.757.105.864.211.90

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.22.0System Power Consumption MonitorTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 53.3 / Avg: 197.7 / Max: 371.4Min: 47.5 / Avg: 170.9 / Max: 315Min: 52.8 / Avg: 175.13 / Max: 286.6Min: 47.2 / Avg: 178.69 / Max: 276Min: 48.6 / Avg: 172.95 / Max: 253.7Min: 45.5 / Avg: 151.83 / Max: 241.9Min: 49.1 / Avg: 147.07 / Max: 231.4Min: 59.1 / Avg: 216.14 / Max: 319.4Min: 51.8 / Avg: 153.94 / Max: 247.5Min: 82.3 / Avg: 164.63 / Max: 252.9Min: 47.9 / Avg: 134.26 / Max: 195.9Min: 46.5 / Avg: 118.46 / Max: 180.4Min: 106.6 / Avg: 215.46 / Max: 320.5Min: 48.8 / Avg: 161.47 / Max: 252.9Min: 52 / Avg: 128.59 / Max: 197.7Min: 71.9 / Avg: 152.4 / Max: 214.7Min: 47.2 / Avg: 138.37 / Max: 187.2

LuxMark

LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106010K20K30K40K50KSE +/- 20.92, N = 3SE +/- 166.33, N = 3SE +/- 0.88, N = 3SE +/- 7.51, N = 3SE +/- 98.93, N = 3SE +/- 7.54, N = 3SE +/- 4.93, N = 3SE +/- 0.67, N = 3SE +/- 39.15, N = 3SE +/- 26.16, N = 3SE +/- 6.23, N = 3SE +/- 19.86, N = 3SE +/- 35.04, N = 3SE +/- 7.67, N = 3SE +/- 17.98, N = 3SE +/- 36.50, N = 3SE +/- 1.00, N = 3SE +/- 4.00, N = 3465464297430179291642973430097300932168316871132461173216147151622168913788169251729012245

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060306090120150137.34131.66130.92119.09136.85130.30131.33112.4370.6467.8765.07102.75108.7088.2676.55111.5495.0383.34

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 53.7 / Avg: 338.9 / Max: 360.6Min: 53.9 / Avg: 326.39 / Max: 340.7Min: 49.4 / Avg: 230.52 / Max: 238Min: 52.5 / Avg: 244.9 / Max: 255.3Min: 47.5 / Avg: 217.27 / Max: 227.7Min: 50.1 / Avg: 230.98 / Max: 243.5Min: 47.2 / Avg: 229.14 / Max: 241Min: 47.4 / Avg: 192.86 / Max: 200.8Min: 130.4 / Avg: 238.82 / Max: 247.5Min: 87.7 / Avg: 195.16 / Max: 205Min: 52.2 / Avg: 180.29 / Max: 185.6Min: 48.2 / Avg: 157.16 / Max: 163.8Min: 45.9 / Avg: 139.49 / Max: 144Min: 107.7 / Avg: 245.73 / Max: 254Min: 75.8 / Avg: 180.11 / Max: 185.5Min: 52.3 / Avg: 151.74 / Max: 155.9Min: 48.6 / Avg: 181.94 / Max: 188.2Min: 76 / Avg: 146.92 / Max: 152

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10607K14K21K28K35KSE +/- 168.12, N = 3SE +/- 21.50, N = 3SE +/- 108.17, N = 3SE +/- 11.68, N = 3SE +/- 16.84, N = 3SE +/- 26.44, N = 3SE +/- 43.34, N = 3SE +/- 3.84, N = 3SE +/- 49.74, N = 3SE +/- 18.25, N = 3SE +/- 2.00, N = 3SE +/- 2.33, N = 3SE +/- 1.33, N = 3SE +/- 19.33, N = 3SE +/- 1.20, N = 3SE +/- 15.50, N = 3SE +/- 4.91, N = 3SE +/- 1.53, N = 3307562863120164199162049918441185091375411096891479851100397941372187161025999837086

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602040608010091.0089.7789.5882.6092.7883.9283.0972.1147.2546.0844.9170.3371.2257.6850.2970.3258.6351.14

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 60.2 / Avg: 337.98 / Max: 356.9Min: 55.9 / Avg: 318.95 / Max: 337.2Min: 47.8 / Avg: 225.09 / Max: 235.4Min: 53.8 / Avg: 241.11 / Max: 251.4Min: 47.6 / Avg: 220.93 / Max: 232.4Min: 51.5 / Avg: 219.74 / Max: 234.1Min: 49.8 / Avg: 222.76 / Max: 232.3Min: 48.6 / Avg: 190.73 / Max: 198.4Min: 112.5 / Avg: 234.81 / Max: 244.3Min: 51 / Avg: 193.46 / Max: 203.7Min: 51.9 / Avg: 177.8 / Max: 184.4Min: 48 / Avg: 156.46 / Max: 161.4Min: 46 / Avg: 137.52 / Max: 142.7Min: 52.7 / Avg: 237.89 / Max: 245.4Min: 49.1 / Avg: 173.32 / Max: 180.3Min: 50.1 / Avg: 145.89 / Max: 150.4Min: 49 / Avg: 170.27 / Max: 177.6Min: 45.6 / Avg: 138.57 / Max: 144.8

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602K4K6K8K10KSE +/- 1.73, N = 3SE +/- 4.37, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 8.00, N = 3SE +/- 2.73, N = 3SE +/- 1.86, N = 3SE +/- 0.58, N = 3SE +/- 7.09, N = 3SE +/- 0.67, N = 3SE +/- 3.51, N = 3SE +/- 1.20, N = 3SE +/- 3.76, N = 3983692156839659065656150614848333885304827303805373356493807417038702648

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106061218243027.4626.9927.4124.5027.1825.5226.3822.9215.2114.1613.7222.5024.2220.0218.5125.6419.5917.00

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 57.7 / Avg: 358.16 / Max: 371Min: 54.2 / Avg: 341.41 / Max: 361Min: 50.8 / Avg: 249.5 / Max: 264.2Min: 52.6 / Avg: 269.03 / Max: 281.5Min: 47.6 / Avg: 241.53 / Max: 254.1Min: 51.8 / Avg: 241 / Max: 251.5Min: 47.9 / Avg: 233.07 / Max: 242.2Min: 50.4 / Avg: 210.86 / Max: 220.4Min: 57.2 / Avg: 255.39 / Max: 271.7Min: 51.4 / Avg: 215.19 / Max: 226.6Min: 50.9 / Avg: 198.98 / Max: 206.3Min: 47.2 / Avg: 169.1 / Max: 176.4Min: 46.7 / Avg: 154.16 / Max: 157.9Min: 55.9 / Avg: 282.16 / Max: 295.6Min: 47.9 / Avg: 205.71 / Max: 214.4Min: 51.1 / Avg: 162.66 / Max: 167.9Min: 48.8 / Avg: 197.56 / Max: 206Min: 45.7 / Avg: 155.74 / Max: 161.6

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 2.13ATPase Simulation - 327,506 AtomsTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.08180.16360.24540.32720.409SE +/- 0.00297, N = 3SE +/- 0.00238, N = 3SE +/- 0.00233, N = 3SE +/- 0.00199, N = 3SE +/- 0.00245, N = 3SE +/- 0.00250, N = 3SE +/- 0.00245, N = 3SE +/- 0.00147, N = 4SE +/- 0.00105, N = 3SE +/- 0.00159, N = 3SE +/- 0.00026, N = 4SE +/- 0.00192, N = 3SE +/- 0.00287, N = 3SE +/- 0.00044, N = 3SE +/- 0.00088, N = 5SE +/- 0.00075, N = 6SE +/- 0.00195, N = 3SE +/- 0.00303, N = 30.188670.189090.193850.193070.195010.194400.193360.202500.286750.331100.363680.231850.250310.196690.209780.222690.239570.31789

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 54.3 / Avg: 214.96 / Max: 367.7Min: 53.9 / Avg: 251.92 / Max: 374Min: 48.8 / Avg: 219.44 / Max: 330.5Min: 52.9 / Avg: 238.49 / Max: 342.9Min: 47.2 / Avg: 198.42 / Max: 323.3Min: 50 / Avg: 202.69 / Max: 321.3Min: 48.4 / Avg: 233.81 / Max: 312Min: 46.1 / Avg: 197.89 / Max: 303.8Min: 55.9 / Avg: 272.91 / Max: 370.3Min: 52.6 / Avg: 238.95 / Max: 329.4Min: 51.3 / Avg: 258.19 / Max: 306.3Min: 47.7 / Avg: 177.22 / Max: 273.9Min: 44.9 / Avg: 177.54 / Max: 262.4Min: 55.3 / Avg: 266.23 / Max: 380Min: 48.6 / Avg: 253.18 / Max: 326.9Min: 50.3 / Avg: 198.82 / Max: 259.9Min: 48.2 / Avg: 206.59 / Max: 286.9Min: 45.2 / Avg: 198.8 / Max: 269.5

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350322.76309.04233.56222.88220.76206.88205.23164.52142.20109.7095.60132.28118.49212.04147.98141.35132.8691.44

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00cTotal ScoreTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.24080.48160.72240.96321.2040.990.961.040.931.040.960.970.870.640.610.600.910.930.890.881.070.840.76

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00cSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 55.3 / Avg: 326.69 / Max: 357.7Min: 51.7 / Avg: 322.94 / Max: 355.5Min: 47.8 / Avg: 225.1 / Max: 261.8Min: 50 / Avg: 239.21 / Max: 278.1Min: 49 / Avg: 211.57 / Max: 245.6Min: 47.1 / Avg: 215.17 / Max: 242.1Min: 46.5 / Avg: 210.53 / Max: 232.6Min: 49.8 / Avg: 188.5 / Max: 218.2Min: 128.3 / Avg: 220.62 / Max: 240Min: 53.6 / Avg: 178.66 / Max: 203.2Min: 50.8 / Avg: 160.22 / Max: 180Min: 47.1 / Avg: 145.79 / Max: 161.1Min: 46.3 / Avg: 127.11 / Max: 144.7Min: 130.6 / Avg: 236.94 / Max: 265Min: 48.3 / Avg: 167.77 / Max: 228.3Min: 52.2 / Avg: 132.45 / Max: 182.7Min: 86 / Avg: 157.88 / Max: 173.8Min: 44.9 / Avg: 120.33 / Max: 135.2

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10606001200180024003000SE +/- 4.02, N = 3SE +/- 13.82, N = 3SE +/- 6.75, N = 3SE +/- 4.68, N = 3SE +/- 4.73, N = 3SE +/- 5.21, N = 3SE +/- 10.89, N = 3SE +/- 3.62, N = 3SE +/- 1.24, N = 3SE +/- 2.37, N = 3SE +/- 1.43, N = 3SE +/- 2.77, N = 3SE +/- 1.34, N = 3SE +/- 7.35, N = 3SE +/- 4.27, N = 3SE +/- 0.80, N = 3SE +/- 4.57, N = 3SE +/- 2.37, N = 32842.382750.572437.482292.382264.971969.501983.821694.071202.77973.39841.481394.051160.522162.581544.501371.211288.94908.43

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106061218243022.1926.7125.0626.2124.7521.3520.6818.207.677.176.9816.0614.7915.2114.0214.1612.359.57

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106080160240320400SE +/- 0.48, N = 3SE +/- 0.44, N = 3SE +/- 0.23, N = 3SE +/- 0.59, N = 3SE +/- 0.10, N = 3SE +/- 0.43, N = 3SE +/- 0.44, N = 3SE +/- 0.37, N = 3SE +/- 0.26, N = 3SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.21, N = 3SE +/- 0.30, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3373.71363.16301.11268.33239.61220.99219.76193.75116.31101.9288.16161.33137.66228.68173.79147.04141.5597.83

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.4590.9181.3771.8362.2952.042.041.991.751.721.571.491.340.600.610.561.321.221.131.101.120.950.78

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250Min: 51.1 / Avg: 182.86 / Max: 282.6Min: 50.7 / Avg: 178.03 / Max: 280Min: 48.4 / Avg: 151.02 / Max: 226.9Min: 49 / Avg: 153.24 / Max: 230.1Min: 46.6 / Avg: 139.53 / Max: 205.1Min: 47.6 / Avg: 141.04 / Max: 207.9Min: 53 / Avg: 147.84 / Max: 203.6Min: 48.8 / Avg: 144.1 / Max: 197.4Min: 128.3 / Avg: 193.81 / Max: 239.9Min: 99.3 / Avg: 168.06 / Max: 211.7Min: 72.9 / Avg: 158.81 / Max: 190.7Min: 46.7 / Avg: 122.59 / Max: 164Min: 44.4 / Avg: 112.99 / Max: 143Min: 125.6 / Avg: 201.87 / Max: 257Min: 84.5 / Avg: 158.48 / Max: 204.6Min: 51 / Avg: 131.33 / Max: 154.1Min: 70.5 / Avg: 148.83 / Max: 185.2Min: 55.5 / Avg: 124.66 / Max: 155.7

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106090180270360450SE +/- 0.70, N = 3SE +/- 1.04, N = 3SE +/- 0.12, N = 3SE +/- 0.60, N = 3SE +/- 0.71, N = 3SE +/- 0.53, N = 3SE +/- 0.48, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.31, N = 3SE +/- 0.42, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.16, N = 3433.81424.07327.80305.76283.98251.07250.98220.44162.63142.14116.05172.68156.50333.54240.62205.85196.01130.64

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.5761.1521.7282.3042.882.562.532.222.192.101.691.741.550.790.780.711.471.421.761.511.571.241.01

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250Min: 55.6 / Avg: 169.21 / Max: 293Min: 51.5 / Avg: 167.74 / Max: 291.7Min: 48.5 / Avg: 147.96 / Max: 225.2Min: 50.7 / Avg: 139.72 / Max: 234.8Min: 47.9 / Avg: 135.09 / Max: 211.7Min: 49 / Avg: 148.17 / Max: 210.6Min: 54.4 / Avg: 144.26 / Max: 207.2Min: 47.9 / Avg: 142.09 / Max: 199.4Min: 127.5 / Avg: 205.03 / Max: 260.5Min: 52.8 / Avg: 183.08 / Max: 228.8Min: 81.7 / Avg: 163.48 / Max: 201.2Min: 47.3 / Avg: 117.8 / Max: 162Min: 44.8 / Avg: 109.89 / Max: 143.5Min: 55.7 / Avg: 189.84 / Max: 284.9Min: 94.6 / Avg: 159.56 / Max: 227.4Min: 51.5 / Avg: 131.42 / Max: 162.8Min: 77.9 / Avg: 157.58 / Max: 202.6Min: 68.7 / Avg: 129.36 / Max: 164

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106020406080100SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 387.1784.9764.8058.4755.2449.9448.9641.1130.6424.2421.4234.1228.9956.6440.3835.4133.0723.16

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.08330.16660.24990.33320.41650.370.370.320.290.300.260.250.230.130.120.110.220.210.240.200.230.180.15

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 51.3 / Avg: 235.38 / Max: 341.7Min: 50.4 / Avg: 231.53 / Max: 336Min: 46.7 / Avg: 204.84 / Max: 277Min: 49.7 / Avg: 201.32 / Max: 272.7Min: 46.5 / Avg: 184.51 / Max: 249.7Min: 48 / Avg: 190.9 / Max: 247Min: 54.2 / Avg: 192.58 / Max: 235.4Min: 48.1 / Avg: 176.3 / Max: 224.1Min: 124.3 / Avg: 237.03 / Max: 284.6Min: 99.4 / Avg: 199.9 / Max: 241.3Min: 94.8 / Avg: 192.64 / Max: 216.8Min: 46.5 / Avg: 154.44 / Max: 184.5Min: 44.8 / Avg: 135.27 / Max: 159.9Min: 107 / Avg: 238.78 / Max: 315.7Min: 48.2 / Avg: 203.49 / Max: 246Min: 51.4 / Avg: 151.49 / Max: 175.5Min: 83.7 / Avg: 182.29 / Max: 211.2Min: 75.4 / Avg: 157.49 / Max: 178.6

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3263.13254.45200.38189.28190.01176.49179.51154.19111.4692.9279.71114.58102.83191.31143.53130.15127.0291.07

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.34430.68861.03291.37721.72151.521.471.411.291.531.271.261.150.580.590.540.990.960.940.951.010.940.72

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250Min: 52.7 / Avg: 173.29 / Max: 277.5Min: 52.4 / Avg: 173.16 / Max: 273Min: 48.8 / Avg: 141.86 / Max: 214.3Min: 51.5 / Avg: 146.49 / Max: 216.5Min: 49.1 / Avg: 124.58 / Max: 203.3Min: 51.5 / Avg: 138.71 / Max: 203.8Min: 55.8 / Avg: 142.16 / Max: 204.9Min: 49 / Avg: 134.34 / Max: 190.3Min: 57 / Avg: 191.08 / Max: 247.4Min: 53.5 / Avg: 157.67 / Max: 213.1Min: 52.1 / Avg: 148.78 / Max: 190.2Min: 48.2 / Avg: 115.16 / Max: 152Min: 45.8 / Avg: 106.92 / Max: 138.1Min: 109.8 / Avg: 203.83 / Max: 255.3Min: 49.1 / Avg: 151.63 / Max: 200.9Min: 53.5 / Avg: 128.35 / Max: 157.6Min: 48.3 / Avg: 135.38 / Max: 188.6Min: 45.7 / Avg: 125.77 / Max: 157.6

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200SE +/- 0.57, N = 3SE +/- 0.51, N = 3SE +/- 0.29, N = 3SE +/- 0.57, N = 3SE +/- 0.28, N = 3SE +/- 0.39, N = 3SE +/- 0.35, N = 3SE +/- 0.23, N = 3SE +/- 1.12, N = 3SE +/- 0.83, N = 4SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.62, N = 3SE +/- 0.40, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 3SE +/- 0.18, N = 3204.67194.83145.65133.20123.20105.60102.5889.5571.2655.7049.7673.1866.24145.42106.0992.0380.2756.07

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.2340.4680.7020.9361.170.941.040.800.770.660.610.550.550.290.280.270.480.480.620.560.570.490.37

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 53.8 / Avg: 216.91 / Max: 353.5Min: 52.7 / Avg: 188.04 / Max: 345.4Min: 49.4 / Avg: 181.31 / Max: 274.6Min: 54.1 / Avg: 173.35 / Max: 273.1Min: 46.7 / Avg: 187.65 / Max: 267.6Min: 48.1 / Avg: 174.02 / Max: 249.3Min: 54 / Avg: 187.95 / Max: 233.7Min: 48.1 / Avg: 163.79 / Max: 226.4Min: 55.1 / Avg: 244.29 / Max: 316.2Min: 69.1 / Avg: 196.2 / Max: 247.2Min: 51.5 / Avg: 184.27 / Max: 233.4Min: 47.3 / Avg: 151.58 / Max: 191.5Min: 45.6 / Avg: 137.8 / Max: 169.2Min: 118 / Avg: 235.58 / Max: 316.5Min: 88.2 / Avg: 189.28 / Max: 251.8Min: 95.2 / Avg: 160.1 / Max: 191.4Min: 47.7 / Avg: 162.2 / Max: 207.3Min: 45.8 / Avg: 152.31 / Max: 187.6

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200SE +/- 0.48, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 3SE +/- 0.44, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.77, N = 3SE +/- 0.62, N = 4SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.44, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3162.05154.20115.44105.5497.8283.5680.8271.0756.1343.6339.3458.0352.52115.0383.8373.1263.5644.37

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.16430.32860.49290.65720.82150.710.730.590.580.490.440.390.400.230.220.200.380.380.490.430.460.370.28

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 52.8 / Avg: 227.24 / Max: 356.3Min: 52.9 / Avg: 210.77 / Max: 350.6Min: 49.1 / Avg: 194.92 / Max: 278.5Min: 52.6 / Avg: 181.66 / Max: 277.7Min: 47.2 / Avg: 198.27 / Max: 271.7Min: 48.7 / Avg: 189.06 / Max: 250.5Min: 57.1 / Avg: 209.61 / Max: 237.5Min: 48.9 / Avg: 179.62 / Max: 228Min: 71.2 / Avg: 244.52 / Max: 316.6Min: 53.3 / Avg: 201.25 / Max: 246.9Min: 89.6 / Avg: 193.7 / Max: 220.3Min: 48.2 / Avg: 154.23 / Max: 191.6Min: 45.5 / Avg: 136.67 / Max: 171.6Min: 120.6 / Avg: 236.48 / Max: 318.6Min: 91.2 / Avg: 194.23 / Max: 252.2Min: 51.9 / Avg: 158.16 / Max: 196.1Min: 70.7 / Avg: 170.23 / Max: 208.9Min: 45.9 / Avg: 157.15 / Max: 187.3

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10605001000150020002500SE +/- 13.68, N = 3SE +/- 6.28, N = 3SE +/- 2.80, N = 3SE +/- 4.17, N = 3SE +/- 1.25, N = 3SE +/- 1.46, N = 3SE +/- 1.59, N = 3SE +/- 2.11, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.75, N = 3SE +/- 0.86, N = 3SE +/- 1.38, N = 3SE +/- 5.20, N = 3SE +/- 1.27, N = 3SE +/- 0.73, N = 3SE +/- 1.57, N = 3SE +/- 0.63, N = 32466.662335.461762.001663.871649.171516.961531.011232.47990.12759.43671.491002.00814.651672.731123.851009.26987.69726.30

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106061218243023.2322.6316.6014.1619.7014.8412.9811.676.645.535.2011.209.5610.229.3511.309.657.59

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106080160240320400SE +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.10, N = 3SE +/- 0.57, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3347.93343.49259.26238.73215.85198.03199.43167.87135.14105.6494.72140.05116.90257.55184.80153.34147.17104.44

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.43880.87761.31641.75522.1941.951.661.521.361.341.181.231.110.610.560.521.020.951.340.941.080.990.70

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 56.2 / Avg: 178.56 / Max: 327.6Min: 51.8 / Avg: 206.66 / Max: 321.6Min: 49.6 / Avg: 170.73 / Max: 255.1Min: 49.4 / Avg: 176.08 / Max: 254.9Min: 49.5 / Avg: 161.34 / Max: 234.9Min: 49.8 / Avg: 167.7 / Max: 230.4Min: 54.4 / Avg: 162.79 / Max: 223.8Min: 47.6 / Avg: 150.66 / Max: 214.3Min: 126.5 / Avg: 220.09 / Max: 281.6Min: 56.7 / Avg: 188.31 / Max: 242.7Min: 81.4 / Avg: 182.54 / Max: 219.9Min: 46.3 / Avg: 136.65 / Max: 177.5Min: 46.3 / Avg: 123.06 / Max: 152.7Min: 128 / Avg: 191.53 / Max: 304Min: 84.7 / Avg: 196.13 / Max: 242.5Min: 51.1 / Avg: 141.76 / Max: 172.5Min: 84.3 / Avg: 149.15 / Max: 206.1Min: 46.9 / Avg: 150.12 / Max: 180

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060140280420560700SE +/- 0.75, N = 3SE +/- 0.63, N = 3SE +/- 0.61, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.53, N = 3SE +/- 0.39, N = 3SE +/- 0.58, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.47, N = 3SE +/- 0.16, N = 3SE +/- 0.72, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3648.36634.09468.70441.24421.58376.73374.71319.25247.47203.91181.87259.43228.14496.24337.47294.36276.89196.00

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601.13182.26363.39544.52725.6595.033.703.183.212.893.092.592.161.061.151.051.841.902.662.252.101.801.48

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 52.7 / Avg: 128.84 / Max: 167.9Min: 49.4 / Avg: 162.94 / Max: 270.3Min: 52 / Avg: 137.63 / Max: 231.8Min: 46.8 / Avg: 145.98 / Max: 249.6Min: 47.5 / Avg: 122.1 / Max: 239.9Min: 55.4 / Avg: 144.71 / Max: 231.4Min: 48.6 / Avg: 147.64 / Max: 221.8Min: 129.1 / Avg: 233.7 / Max: 292Min: 53 / Avg: 176.69 / Max: 244.6Min: 83.3 / Avg: 172.91 / Max: 233.2Min: 47.9 / Avg: 141.14 / Max: 182.8Min: 46.3 / Avg: 119.8 / Max: 159.7Min: 56.4 / Avg: 186.43 / Max: 312.7Min: 48.4 / Avg: 149.71 / Max: 246.6Min: 52.2 / Avg: 140.17 / Max: 177.3Min: 89.6 / Avg: 153.55 / Max: 208.4Min: 45.9 / Avg: 132.6 / Max: 182.3

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602004006008001000SE +/- 2.25, N = 3SE +/- 1.01, N = 3SE +/- 1.47, N = 3SE +/- 1.63, N = 3SE +/- 0.67, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3SE +/- 0.50, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.74, N = 3SE +/- 0.31, N = 3SE +/- 0.49, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3790.77758.21589.86548.83499.69446.23440.79389.40270.00231.66204.32315.83287.68523.98399.00333.03315.37224.89

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601.14532.29063.43594.58125.72655.094.564.523.953.673.683.233.101.411.431.283.142.983.002.812.592.371.83

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250Min: 52.6 / Avg: 166.27 / Max: 275.3Min: 51.8 / Avg: 130.6 / Max: 207.8Min: 56.5 / Avg: 138.96 / Max: 215.1Min: 49.2 / Avg: 136.18 / Max: 192.6Min: 54.9 / Avg: 136.39 / Max: 187.2Min: 49.2 / Avg: 125.65 / Max: 186.5Min: 57.1 / Avg: 192.1 / Max: 249.1Min: 100 / Avg: 162.49 / Max: 218.7Min: 94.4 / Avg: 160.18 / Max: 203.4Min: 46.6 / Avg: 100.43 / Max: 150.5Min: 46.3 / Avg: 96.5 / Max: 135.8Min: 48.5 / Avg: 142.23 / Max: 208.8Min: 52.4 / Avg: 128.8 / Max: 152Min: 50.4 / Avg: 132.86 / Max: 187.3Min: 46.3 / Avg: 122.88 / Max: 159.6

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.28, N = 3SE +/- 0.73, N = 3SE +/- 0.29, N = 3SE +/- 0.43, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 1.36, N = 3SE +/- 0.79, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.62, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3247.83234.65180.45164.05154.64131.54128.22110.9387.3968.9560.3292.4584.83175.37128.05114.0397.3269.31

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.23180.46360.69540.92721.1591.030.980.820.820.810.680.710.620.320.320.310.560.580.750.610.670.560.42

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 52.4 / Avg: 239.94 / Max: 363Min: 52.7 / Avg: 239.16 / Max: 354.3Min: 47.7 / Avg: 218.91 / Max: 299.1Min: 48.9 / Avg: 201.23 / Max: 285.7Min: 47.2 / Avg: 191.71 / Max: 276.3Min: 48.4 / Avg: 193.79 / Max: 250.6Min: 53.3 / Avg: 181.51 / Max: 239.5Min: 48.4 / Avg: 179.22 / Max: 228.5Min: 56.5 / Avg: 270.73 / Max: 328.7Min: 90.4 / Avg: 213.83 / Max: 251.4Min: 94.5 / Avg: 195.88 / Max: 219.3Min: 46.4 / Avg: 163.81 / Max: 195.7Min: 45.6 / Avg: 146.27 / Max: 182Min: 51.8 / Avg: 234.29 / Max: 318.4Min: 46.2 / Avg: 209.24 / Max: 254.3Min: 52.3 / Avg: 169.99 / Max: 205.7Min: 50 / Avg: 172.78 / Max: 208.8Min: 69.4 / Avg: 166.46 / Max: 190

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 3SE +/- 0.23, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.65, N = 3SE +/- 0.47, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3196.44186.19143.02129.58122.32103.89101.1788.0468.4753.4947.7073.3567.24138.68101.0090.3476.8954.78

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.16880.33760.50640.67520.8440.750.740.640.560.610.530.520.460.250.260.240.440.420.560.480.500.430.32

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 53.2 / Avg: 260.22 / Max: 361.7Min: 52.9 / Avg: 251.39 / Max: 354Min: 49.5 / Avg: 224.18 / Max: 302.6Min: 49.9 / Avg: 230.45 / Max: 288.2Min: 47.5 / Avg: 199.98 / Max: 276.8Min: 49.7 / Avg: 197.21 / Max: 252.5Min: 55 / Avg: 193.52 / Max: 240.6Min: 50.1 / Avg: 192.21 / Max: 230.7Min: 119.7 / Avg: 273.57 / Max: 330.8Min: 55.7 / Avg: 208.34 / Max: 246.7Min: 75.4 / Avg: 201.26 / Max: 220.7Min: 48.3 / Avg: 167.7 / Max: 196.3Min: 46 / Avg: 160.67 / Max: 185.8Min: 55.7 / Avg: 245.95 / Max: 321.1Min: 89.9 / Avg: 209.47 / Max: 253.5Min: 52.4 / Avg: 180.41 / Max: 207.7Min: 84.2 / Avg: 180.68 / Max: 209.8Min: 45.1 / Avg: 170.04 / Max: 188.8

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 the OpenCL and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL MyocyteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601224364860SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 331.6931.0530.6331.6530.7631.6430.4231.1152.1347.3845.4830.6730.9735.9134.8738.7035.1034.691. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060306090120150Min: 51.9 / Avg: 158.82 / Max: 169.5Min: 51.1 / Avg: 152.87 / Max: 162.6Min: 46.6 / Avg: 123.16 / Max: 135.3Min: 49.5 / Avg: 131.08 / Max: 142Min: 46.4 / Avg: 116.19 / Max: 128.7Min: 48.1 / Avg: 122.39 / Max: 128.3Min: 46.3 / Avg: 122.27 / Max: 129.5Min: 46.6 / Avg: 112.18 / Max: 123.5Min: 110.1 / Avg: 153.24 / Max: 157.4Min: 88.8 / Avg: 119.77 / Max: 124.7Min: 85.4 / Avg: 117.57 / Max: 120.9Min: 45.9 / Avg: 98.53 / Max: 104.6Min: 45.5 / Avg: 90.35 / Max: 95.7Min: 53.3 / Avg: 137.65 / Max: 146.3Min: 47.4 / Avg: 113.6 / Max: 118.7Min: 49.1 / Avg: 105.1 / Max: 108.7Min: 70.9 / Avg: 107.97 / Max: 112.9Min: 62.8 / Avg: 97.17 / Max: 100.8

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10603691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.244.395.746.226.827.757.878.909.9511.6912.9910.8211.874.966.497.888.2611.931. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorRTX 2070 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1070 TiGTX 10604080120160200Min: 47 / Avg: 103.36 / Max: 166Min: 47.6 / Avg: 121.91 / Max: 156.6Min: 54.7 / Avg: 167.04 / Max: 233.5Min: 52.6 / Avg: 156.47 / Max: 203.2Min: 50.5 / Avg: 141.83 / Max: 190Min: 46 / Avg: 107.04 / Max: 129.7Min: 45.1 / Avg: 88.85 / Max: 116.6Min: 50.3 / Avg: 101.74 / Max: 149.4Min: 44.7 / Avg: 111.27 / Max: 154.1

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604K8K12K16K20KSE +/- 91.95, N = 3SE +/- 87.95, N = 3SE +/- 61.30, N = 3SE +/- 29.32, N = 3SE +/- 51.02, N = 3SE +/- 45.97, N = 3SE +/- 27.40, N = 3SE +/- 19.13, N = 3SE +/- 11.70, N = 3SE +/- 3.92, N = 3SE +/- 0.74, N = 3SE +/- 0.04, N = 3SE +/- 13.79, N = 3SE +/- 3.93, N = 3SE +/- 3.00, N = 3SE +/- 0.84, N = 3SE +/- 1.89, N = 3SE +/- 6.34, N = 317334.0016656.2012015.5010952.779869.348528.708378.877320.736213.975052.734362.315893.415329.8413230.779407.757715.427115.394788.921. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602040608010077.7276.6973.2363.9365.7657.1356.3850.3632.0531.4029.2949.6350.1766.2659.8761.4350.3040.06

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 52 / Avg: 223.03 / Max: 367Min: 51.3 / Avg: 217.17 / Max: 360Min: 47 / Avg: 164.08 / Max: 318.6Min: 48.7 / Avg: 171.33 / Max: 292.2Min: 47.1 / Avg: 150.09 / Max: 265.5Min: 47.9 / Avg: 149.29 / Max: 251.7Min: 46.8 / Avg: 148.63 / Max: 238Min: 47 / Avg: 145.37 / Max: 229.5Min: 126.9 / Avg: 193.91 / Max: 298.6Min: 97.6 / Avg: 160.93 / Max: 243.5Min: 80.6 / Avg: 148.92 / Max: 222.7Min: 46.4 / Avg: 118.75 / Max: 170.7Min: 44.5 / Avg: 106.24 / Max: 161Min: 49.6 / Avg: 199.67 / Max: 326.6Min: 94 / Avg: 157.13 / Max: 259.6Min: 50.5 / Avg: 125.61 / Max: 179.8Min: 78 / Avg: 141.46 / Max: 206.4Min: 74.8 / Avg: 119.53 / Max: 184.8

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106030060090012001500SE +/- 1.38, N = 3SE +/- 2.79, N = 3SE +/- 0.78, N = 3SE +/- 0.39, N = 3SE +/- 0.27, N = 3SE +/- 2.90, N = 3SE +/- 3.09, N = 3SE +/- 0.56, N = 3SE +/- 3.01, N = 3SE +/- 1.09, N = 3SE +/- 0.48, N = 3SE +/- 1.57, N = 3SE +/- 0.27, N = 3SE +/- 1.06, N = 3SE +/- 3.58, N = 3SE +/- 0.19, N = 3SE +/- 6.42, N = 4SE +/- 3.50, N = 71578.291485.731203.571100.001088.17976.78971.24818.44725.98458.35411.29665.66452.89982.23614.69525.89478.54326.681. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPRTX 2080 TiRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604812162011.5415.4615.588.6717.5913.236.925.455.1212.255.707.977.876.366.234.00

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060816243240SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, 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 = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 336.3934.9126.5624.0721.7818.7718.2216.049.227.496.5012.9811.8719.7214.2511.7010.617.261. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080GTX 10600.08330.16660.24990.33320.41650.370.320.210.300.150.120.040.080.050.260.260.150.11

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 50.6 / Avg: 227.86 / Max: 371.4Min: 49.7 / Avg: 227.4 / Max: 374Min: 46 / Avg: 173.42 / Max: 330.5Min: 47.5 / Avg: 181.54 / Max: 342.9Min: 45.5 / Avg: 134.05 / Max: 323.3Min: 46 / Avg: 164.53 / Max: 321.3Min: 45.4 / Avg: 158.95 / Max: 312Min: 46.1 / Avg: 153.75 / Max: 303.8Min: 53.6 / Avg: 199.07 / Max: 370.3Min: 49.8 / Avg: 167.77 / Max: 329.4Min: 48.8 / Avg: 157.71 / Max: 306.3Min: 45.4 / Avg: 127.55 / Max: 273.9Min: 43.1 / Avg: 115.15 / Max: 262.4Min: 49.6 / Avg: 207.86 / Max: 380Min: 44.9 / Avg: 162.99 / Max: 328.3Min: 48.6 / Avg: 131.89 / Max: 259.9Min: 43.8 / Avg: 150.54 / Max: 286.9Min: 44.3 / Avg: 128.45 / Max: 269.5

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 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601632486480SE +/- 0.60, N = 3SE +/- 0.72, N = 3SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 372.9672.7171.4770.9670.4569.4169.1767.9262.0159.2156.9566.0665.1069.0966.6764.6863.8658.671. (CXX) g++ options: -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 980 TiGTX 980GTX 970GTX 1660 TiGTX 1660GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.3150.630.9451.261.5751.351.311.180.710.901.351.400.730.600.790.661.101.080.590.700.710.801.00

94 Results Shown

cl-mem
cl-mem
cl-mem
cl-mem
cl-mem
cl-mem
clpeak
clpeak
clpeak
clpeak:
  Single-Precision Float
  System Power Consumption Monitor
clpeak
clpeak:
  Double-Precision Double
  System Power Consumption Monitor
clpeak
clpeak:
  Integer Compute INT
  System Power Consumption Monitor
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Room - OpenCL
FAHBench
FAHBench:
 
  System Power Consumption Monitor
  Phoronix Test Suite System Monitoring
JuliaGPU
JuliaGPU
LeelaChessZero
LeelaChessZero:
  OpenCL
  System Power Consumption Monitor
LuxMark
LuxMark:
  GPU - Luxball HDR
  System Power Consumption Monitor
LuxMark
LuxMark:
  GPU - Microphone
  System Power Consumption Monitor
LuxMark
LuxMark:
  GPU - Hotel
  System Power Consumption Monitor
NAMD CUDA
NAMD CUDA
OctaneBench
OctaneBench:
  Total Score
  System Power Consumption Monitor
PlaidML
PlaidML
PlaidML
PlaidML:
  Yes - Inference - Inception V3 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  Yes - Inference - ResNet 50 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  Yes - Inference - NASNer Large - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  Yes - Inference - DenseNet 201 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  Yes - Inference - VGG16 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  Yes - Inference - VGG19 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML
PlaidML
PlaidML:
  No - Inference - Inception V3 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  No - Inference - ResNet 50 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  No - Inference - IMDB LSTM - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  No - Inference - VGG16 - OpenCL
  System Power Consumption Monitor
PlaidML
PlaidML:
  No - Inference - VGG19 - OpenCL
  System Power Consumption Monitor
Rodinia
Rodinia
Rodinia
Rodinia
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Max SP Flops
  System Power Consumption Monitor
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing
SHOC Scalable HeterOgeneous Computing:
  OpenCL - MD5 Hash
  Phoronix Test Suite System Monitoring
ViennaCL
ViennaCL