NVIDIA Linux OpenCL CUDA RTX SUPER Compute

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

HTML result view exported from: https://openbenchmarking.org/result/1909299-AS-RTXSUPERC34&grw.

NVIDIA Linux OpenCL CUDA RTX SUPER ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionGTX 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 RTXIntel 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)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 19.045.0.0-29-generic (x86_64)GNOME Shell 3.32.2X Server 1.20.4NVIDIA 435.214.6.0GCC 8.3.0ext43840x2160NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)5.3.0-999-generic (x86_64) 20190914NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)5.0.0-29-generic (x86_64)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)5.3.0-999-generic (x86_64) 20190914ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)5.0.0-29-generic (x86_64)NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz)5.3.0-999-generic (x86_64) 20190914Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz)5.0.0-29-generic (x86_64)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)5.3.0-999-generic (x86_64) 20190914NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)5.0.0-29-generic (x86_64)NVIDIA TITAN RTX 24GB (1350/7000MHz)5.3.0-999-generic (x86_64) 20190914OpenBenchmarking.orgCompiler Details- --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 -vProcessor Details- Scaling Governor: intel_pstate performanceOpenCL Details- 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: 4608Python Details- 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 3.7.3Security Details- 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

NVIDIA Linux OpenCL CUDA RTX SUPER Computedarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLplaidml: 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 - OpenCLlczero: OpenCLshoc: OpenCL - Max SP Flopsshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashrodinia: OpenCL Myocyterodinia: OpenCL Particle Filterfahbench: namd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scorecl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTviennacl: OpenCL LU Factorizationjuliagpu: GPUluxmark: GPU - Luxball HDRluxmark: GPU - Microphoneluxmark: GPU - HotelGTX 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 RTX4.425.783.16841.4888.16116.0521.4279.7149.7639.34671.4994.72181.87204.3260.3247.70207.844362.31411.296.5045.4812.9991.530.3636895.60124.77142.10132.60143.483888.16137.471140.2956.95169258044.9011732798527303.925.743.10973.39101.92142.1424.2492.9255.7043.63759.43105.64203.91231.6668.9553.49280.995052.73458.357.4947.3811.69102.860.33110109.70143.40164.50151.50164.254476.69159.681312.0659.21181882709.7713246891430483.274.121.511202.77116.31162.6330.64111.4671.2656.13990.12135.14247.47270.0087.3968.47466.846213.97725.989.2252.139.95116.020.28675142.20216.83265.33241.50263.225538.75196.601610.2862.01195653728.47168711109638853.654.071.28908.4397.83130.6423.1691.0756.0744.37726.30104.44196.00224.8969.3154.78262.414788.92326.687.2634.6911.93102.610.3178991.44137.20153.50144.57146.624199.71149.581267.8958.67182188318.6712245708626482.893.921.111288.94141.55196.0133.07127.0280.2763.56987.69147.17276.89315.3797.3276.89642.127115.39478.5410.6135.108.26140.290.23957132.86182.00205.27190.90196.476269.49223.911685.0563.86216942144.9317290998338702.933.971.171371.21147.04205.8535.41130.1592.0373.121009.26153.34294.36333.03114.0390.34753.697715.42525.8911.7038.707.88138.210.22269141.35182.70205.27190.03197.266770.97242.632076.9364.68220447755.87169251025941702.723.941.091544.50173.79240.6240.38143.53106.0983.831123.85184.80337.47399.00128.05101.001146.759407.75614.6914.2534.876.49155.220.20978147.98205.93228.80214.67222.098314.29297.942430.7466.67237914974.4013788871638072.293.921.052162.58228.68333.5456.64191.31145.42115.031672.73257.55496.24523.98175.37138.681886.3013230.77982.2319.7235.914.96198.250.19669212.04283.20337.53340.27328.9011720.57414.963301.8969.09262248899.33216891372156493.354.011.181160.52137.66156.5028.99102.8366.2452.52814.65116.90228.14287.6884.8367.24335.865329.84452.8911.8730.9711.87126.640.25031118.49145.37162.90148.87157.604610.01168.444657.7965.10230919642.1315162979437332.924.021.151394.05161.33172.6834.12114.5873.1858.031002.00140.05259.43315.8392.4573.35420.045893.41665.6612.9830.6710.82139.810.23185132.28208.50250.23208.67234.674793.66185.124775.4566.06239300837.60161471100338052.223.730.831694.07193.75220.4441.11154.1989.5571.071232.47167.87319.25389.40110.9388.04704.697320.73818.4416.0431.118.90183.410.20250164.52237.77296.20241.20275.865329.07231.445269.0167.92251925176.90216831375448331.953.680.751983.82219.76250.9848.96179.51102.5880.821531.01199.43374.71440.79128.22101.17998.178378.87971.2418.2230.427.87205.200.19336205.23287.80395.67333.20367.927089.50263.117023.0769.17264172441.47300931850961481.933.670.751969.50220.99251.0749.94176.49105.6083.561516.96198.03376.73446.23131.54103.89999.758528.70976.7818.7731.647.75204.710.19440206.88284.43395.70322.67368.967198.64268.327161.4869.41267086274.53300971844161501.933.710.802264.97239.61283.9855.24190.01123.2097.821649.17215.85421.58499.69154.64122.321604.219869.341088.1721.7830.766.82229.120.19501220.76291.87395.67319.57369.118502.71310.278570.6070.45275868151.17297342049965651.903.710.802292.38268.33305.7658.47189.28133.20105.541663.87238.73441.24548.83164.05129.581879.9910952.771100.0024.0731.656.22242.750.19307222.88289.20395.70331.50368.478883.90345.819660.9270.96280162469.67291641991665901.823.690.792437.48301.11327.8064.80200.38145.65115.441762.00259.26468.70589.86180.45143.022105.2612015.501203.5726.5630.635.74256.830.19385233.56301.23436.27345.77405.0010335.50378.9810404.7171.47286818331.27301792016468391.643.660.752750.57363.16424.0784.97254.45194.83154.202335.46343.49634.09758.21234.65186.193032.1016656.201485.7334.9131.054.39301.890.18909309.04324.40544.33441.23506.3313532.74521.9013609.3372.71299834728.80429742863192151.643.660.742842.38373.71433.8187.17263.13204.67162.052466.66347.93648.36790.77247.83196.443126.4817334.001578.2936.3931.694.24301.930.18867322.76322.20566.70495.37528.8914203.87547.9713841.2572.96303198573.9746546307569836OpenBenchmarking.org

Darktable

Test: Boat - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Boat - Acceleration: OpenCLGTX 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 RTX0.99451.9892.98353.9784.9725SE +/- 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 +/- 0.01, 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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.423.923.273.652.892.932.722.293.352.922.221.951.931.931.901.821.641.64

Darktable

Test: Masskrug - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Masskrug - Acceleration: OpenCLGTX 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 RTX1.30052.6013.90155.2026.5025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.785.744.124.073.923.973.943.924.014.023.733.683.673.713.713.693.663.66

Darktable

Test: Server Room - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLGTX 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 RTX0.7111.4222.1332.8443.555SE +/- 0.01, N = 3SE +/- 0.00, 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 = 4SE +/- 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 = 8SE +/- 0.00, N = 3SE +/- 0.00, N = 33.163.101.511.281.111.171.091.051.181.150.830.750.750.800.800.790.750.74

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 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 RTX6001200180024003000SE +/- 1.43, N = 3SE +/- 2.37, N = 3SE +/- 1.24, N = 3SE +/- 2.37, N = 3SE +/- 4.57, N = 3SE +/- 0.80, N = 3SE +/- 4.27, N = 3SE +/- 7.35, N = 3SE +/- 1.34, N = 3SE +/- 2.77, N = 3SE +/- 3.62, N = 3SE +/- 10.89, N = 3SE +/- 5.21, N = 3SE +/- 4.73, N = 3SE +/- 4.68, N = 3SE +/- 6.75, N = 3SE +/- 13.82, N = 3SE +/- 4.02, N = 3841.48973.391202.77908.431288.941371.211544.502162.581160.521394.051694.071983.821969.502264.972292.382437.482750.572842.38

PlaidML

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 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 RTX80160240320400SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.30, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.44, N = 3SE +/- 0.43, N = 3SE +/- 0.10, N = 3SE +/- 0.59, N = 3SE +/- 0.23, N = 3SE +/- 0.44, N = 3SE +/- 0.48, N = 388.16101.92116.3197.83141.55147.04173.79228.68137.66161.33193.75219.76220.99239.61268.33301.11363.16373.71

PlaidML

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 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 RTX90180270360450SE +/- 0.00, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.48, N = 3SE +/- 0.53, N = 3SE +/- 0.71, N = 3SE +/- 0.60, N = 3SE +/- 0.12, N = 3SE +/- 1.04, N = 3SE +/- 0.70, N = 3116.05142.14162.63130.64196.01205.85240.62333.54156.50172.68220.44250.98251.07283.98305.76327.80424.07433.81

PlaidML

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLGTX 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 RTX20406080100SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 321.4224.2430.6423.1633.0735.4140.3856.6428.9934.1241.1148.9649.9455.2458.4764.8084.9787.17

PlaidML

FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 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 RTX60120180240300SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 379.7192.92111.4691.07127.02130.15143.53191.31102.83114.58154.19179.51176.49190.01189.28200.38254.45263.13

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 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 RTX4080120160200SE +/- 0.21, N = 3SE +/- 0.83, N = 4SE +/- 1.12, N = 3SE +/- 0.18, N = 3SE +/- 0.30, N = 3SE +/- 0.08, N = 3SE +/- 0.40, N = 3SE +/- 0.62, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.39, N = 3SE +/- 0.28, N = 3SE +/- 0.57, N = 3SE +/- 0.29, N = 3SE +/- 0.51, N = 3SE +/- 0.57, N = 349.7655.7071.2656.0780.2792.03106.09145.4266.2473.1889.55102.58105.60123.20133.20145.65194.83204.67

PlaidML

FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 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 RTX4080120160200SE +/- 0.18, N = 3SE +/- 0.62, N = 4SE +/- 0.77, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.44, N = 3SE +/- 0.21, N = 3SE +/- 0.36, N = 3SE +/- 0.48, N = 339.3443.6356.1344.3763.5673.1283.83115.0352.5258.0371.0780.8283.5697.82105.54115.44154.20162.05

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 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 RTX5001000150020002500SE +/- 0.75, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.63, N = 3SE +/- 1.57, N = 3SE +/- 0.73, N = 3SE +/- 1.27, N = 3SE +/- 5.20, N = 3SE +/- 1.38, N = 3SE +/- 0.86, N = 3SE +/- 2.11, N = 3SE +/- 1.59, N = 3SE +/- 1.46, N = 3SE +/- 1.25, N = 3SE +/- 4.17, N = 3SE +/- 2.80, N = 3SE +/- 6.28, N = 3SE +/- 13.68, N = 3671.49759.43990.12726.30987.691009.261123.851672.73814.651002.001232.471531.011516.961649.171663.871762.002335.462466.66

PlaidML

FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 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 RTX80160240320400SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.25, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.57, N = 3SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.42, N = 394.72105.64135.14104.44147.17153.34184.80257.55116.90140.05167.87199.43198.03215.85238.73259.26343.49347.93

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 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 RTX140280420560700SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.58, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.32, N = 3SE +/- 0.72, N = 3SE +/- 0.16, N = 3SE +/- 0.47, N = 3SE +/- 0.39, N = 3SE +/- 0.53, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.61, N = 3SE +/- 0.63, N = 3SE +/- 0.75, N = 3181.87203.91247.47196.00276.89294.36337.47496.24228.14259.43319.25374.71376.73421.58441.24468.70634.09648.36

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 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 RTX2004006008001000SE +/- 0.03, N = 3SE +/- 0.50, N = 3SE +/- 0.56, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.49, N = 3SE +/- 0.31, N = 3SE +/- 0.74, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.37, N = 3SE +/- 0.31, N = 3SE +/- 0.21, N = 3SE +/- 0.67, N = 3SE +/- 1.63, N = 3SE +/- 1.47, N = 3SE +/- 1.01, N = 3SE +/- 2.25, N = 3204.32231.66270.00224.89315.37333.03399.00523.98287.68315.83389.40440.79446.23499.69548.83589.86758.21790.77

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 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 RTX50100150200250SE +/- 0.05, N = 3SE +/- 0.79, N = 3SE +/- 1.36, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 3SE +/- 0.62, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.43, N = 3SE +/- 0.29, N = 3SE +/- 0.73, N = 3SE +/- 0.28, N = 3SE +/- 0.50, N = 3SE +/- 0.40, N = 360.3268.9587.3969.3197.32114.03128.05175.3784.8392.45110.93128.22131.54154.64164.05180.45234.65247.83

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 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 RTX4080120160200SE +/- 0.01, N = 3SE +/- 0.47, N = 3SE +/- 0.65, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.42, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.54, N = 347.7053.4968.4754.7876.8990.34101.00138.6867.2473.3588.04101.17103.89122.32129.58143.02186.19196.44

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLGTX 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 RTX7001400210028003500SE +/- 1.93, N = 15SE +/- 2.79, N = 3SE +/- 5.67, N = 15SE +/- 3.68, N = 4SE +/- 12.32, N = 15SE +/- 8.69, N = 6SE +/- 14.70, N = 3SE +/- 32.29, N = 3SE +/- 4.05, N = 15SE +/- 5.83, N = 15SE +/- 1.84, N = 3SE +/- 18.12, N = 15SE +/- 16.93, N = 15SE +/- 17.64, N = 7SE +/- 21.60, N = 3SE +/- 29.82, N = 3SE +/- 8.77, N = 3SE +/- 28.21, N = 3207.84280.99466.84262.41642.12753.691146.751886.30335.86420.04704.69998.17999.751604.211879.992105.263032.103126.481. (CXX) g++ options: -lpthread

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGTX 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 RTX4K8K12K16K20KSE +/- 0.74, N = 3SE +/- 3.92, N = 3SE +/- 11.70, N = 3SE +/- 6.34, N = 3SE +/- 1.89, N = 3SE +/- 0.84, N = 3SE +/- 3.00, N = 3SE +/- 3.93, N = 3SE +/- 13.79, N = 3SE +/- 0.04, N = 3SE +/- 19.13, N = 3SE +/- 27.40, N = 3SE +/- 45.97, N = 3SE +/- 51.02, N = 3SE +/- 29.32, N = 3SE +/- 61.30, N = 3SE +/- 87.95, N = 3SE +/- 91.95, N = 34362.315052.736213.974788.927115.397715.429407.7513230.775329.845893.417320.738378.878528.709869.3410952.7712015.5016656.2017334.001. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 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 RTX30060090012001500SE +/- 0.48, N = 3SE +/- 1.09, N = 3SE +/- 3.01, N = 3SE +/- 3.50, N = 7SE +/- 6.42, N = 4SE +/- 0.19, N = 3SE +/- 3.58, N = 3SE +/- 1.06, N = 3SE +/- 0.27, N = 3SE +/- 1.57, N = 3SE +/- 0.56, N = 3SE +/- 3.09, N = 3SE +/- 2.90, N = 3SE +/- 0.27, N = 3SE +/- 0.39, N = 3SE +/- 0.78, N = 3SE +/- 2.79, N = 3SE +/- 1.38, N = 3411.29458.35725.98326.68478.54525.89614.69982.23452.89665.66818.44971.24976.781088.171100.001203.571485.731578.291. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 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 RTX816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 36.507.499.227.2610.6111.7014.2519.7211.8712.9816.0418.2218.7721.7824.0726.5634.9136.391. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

Rodinia

Test: OpenCL Myocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL MyocyteGTX 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 RTX1224364860SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 345.4847.3852.1334.6935.1038.7034.8735.9130.9730.6731.1130.4231.6430.7631.6530.6331.0531.691. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenCL Particle Filter

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterGTX 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 RTX3691215SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.9911.699.9511.938.267.886.494.9611.8710.828.907.877.756.826.225.744.394.241. (CXX) g++ options: -O2 -lOpenCL

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 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 RTX70140210280350SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.43, N = 3SE +/- 0.05, N = 3SE +/- 0.53, N = 3SE +/- 0.43, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.61, N = 3SE +/- 0.34, N = 3SE +/- 0.64, N = 3SE +/- 0.60, N = 3SE +/- 0.99, N = 3SE +/- 0.78, N = 3SE +/- 0.90, N = 3SE +/- 0.71, N = 391.53102.86116.02102.61140.29138.21155.22198.25126.64139.81183.41205.20204.71229.12242.75256.83301.89301.93

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsGTX 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 RTX0.08180.16360.24540.32720.409SE +/- 0.00026, N = 4SE +/- 0.00159, N = 3SE +/- 0.00105, N = 3SE +/- 0.00303, N = 3SE +/- 0.00195, N = 3SE +/- 0.00075, N = 6SE +/- 0.00088, N = 5SE +/- 0.00044, N = 3SE +/- 0.00287, N = 3SE +/- 0.00192, N = 3SE +/- 0.00147, N = 4SE +/- 0.00245, N = 3SE +/- 0.00250, N = 3SE +/- 0.00245, N = 3SE +/- 0.00199, N = 3SE +/- 0.00233, N = 3SE +/- 0.00238, N = 3SE +/- 0.00297, N = 30.363680.331100.286750.317890.239570.222690.209780.196690.250310.231850.202500.193360.194400.195010.193070.193850.189090.18867

OctaneBench

Total Score

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreGTX 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 RTX7014021028035095.60109.70142.2091.44132.86141.35147.98212.04118.49132.28164.52205.23206.88220.76222.88233.56309.04322.76

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 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 RTX70140210280350SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.24, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.40, N = 3SE +/- 0.67, N = 3124.77143.40216.83137.20182.00182.70205.93283.20145.37208.50237.77287.80284.43291.87289.20301.23324.40322.201. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 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 RTX120240360480600SE +/- 1.50, N = 8SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.38, N = 3SE +/- 0.40, N = 3142.10164.50265.33153.50205.27205.27228.80337.53162.90250.23296.20395.67395.70395.67395.70436.27544.33566.701. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 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 RTX110220330440550SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 1.00, N = 3SE +/- 0.43, N = 3SE +/- 0.15, N = 3SE +/- 0.54, N = 3SE +/- 0.35, N = 3SE +/- 1.39, N = 3132.60151.50241.50144.57190.90190.03214.67340.27148.87208.67241.20333.20322.67319.57331.50345.77441.23495.371. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 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 RTX110220330440550SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.52, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.71, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.44, N = 3SE +/- 0.66, N = 3143.48164.25263.22146.62196.47197.26222.09328.90157.60234.67275.86367.92368.96369.11368.47405.00506.33528.891. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 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 RTX3K6K9K12K15KSE +/- 40.24, N = 15SE +/- 46.38, N = 8SE +/- 44.36, N = 15SE +/- 1.88, N = 3SE +/- 3.03, N = 3SE +/- 7.63, N = 3SE +/- 3.14, N = 3SE +/- 5.50, N = 3SE +/- 7.83, N = 3SE +/- 61.47, N = 15SE +/- 77.72, N = 3SE +/- 84.87, N = 15SE +/- 81.15, N = 15SE +/- 76.18, N = 15SE +/- 7.41, N = 3SE +/- 124.22, N = 3SE +/- 207.30, N = 3SE +/- 228.75, N = 153888.164476.695538.754199.716269.496770.978314.2911720.574610.014793.665329.077089.507198.648502.718883.9010335.5013532.7414203.871. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 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 RTX120240360480600SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.14, N = 3SE +/- 0.71, N = 3SE +/- 0.02, N = 3SE +/- 0.76, N = 3SE +/- 1.14, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.71, N = 3SE +/- 0.81, N = 3SE +/- 0.77, N = 3SE +/- 0.92, N = 3SE +/- 0.03, N = 3SE +/- 1.46, N = 3SE +/- 1.16, N = 3137.47159.68196.60149.58223.91242.63297.94414.96168.44185.12231.44263.11268.32310.27345.81378.98521.90547.971. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 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 RTX3K6K9K12K15KSE +/- 19.67, N = 3SE +/- 0.38, N = 3SE +/- 23.09, N = 3SE +/- 13.36, N = 15SE +/- 24.36, N = 3SE +/- 0.72, N = 3SE +/- 26.46, N = 3SE +/- 29.87, N = 15SE +/- 32.97, N = 3SE +/- 64.34, N = 15SE +/- 63.11, N = 3SE +/- 76.65, N = 15SE +/- 84.78, N = 15SE +/- 81.60, N = 15SE +/- 4.11, N = 3SE +/- 83.79, N = 15SE +/- 57.62, N = 3SE +/- 156.59, N = 151140.291312.061610.281267.891685.052076.932430.743301.894657.794775.455269.017023.077161.488570.609660.9210404.7113609.3313841.251. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ViennaCL

OpenCL LU Factorization

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL 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 RTX1632486480SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.31, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 3SE +/- 0.72, N = 3SE +/- 0.60, N = 356.9559.2162.0158.6763.8664.6866.6769.0965.1066.0667.9269.1769.4170.4570.9671.4772.7172.961. (CXX) g++ options: -rdynamic -lOpenCL

JuliaGPU

OpenCL Device: GPU

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGTX 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 RTX60M120M180M240M300MSE +/- 383961.59, N = 3SE +/- 52667.10, N = 3SE +/- 78142.08, N = 3SE +/- 137674.47, N = 3SE +/- 76295.47, N = 3SE +/- 97519.45, N = 3SE +/- 341457.11, N = 3SE +/- 540298.84, N = 3SE +/- 197521.26, N = 3SE +/- 495295.96, N = 3SE +/- 121354.48, N = 3SE +/- 369711.60, N = 3SE +/- 633693.84, N = 3SE +/- 389272.10, N = 3SE +/- 169596.23, N = 3SE +/- 1165562.77, N = 3SE +/- 78810.54, N = 3SE +/- 489061.14, N = 3169258044.90181882709.77195653728.47182188318.67216942144.93220447755.87237914974.40262248899.33230919642.13239300837.60251925176.90264172441.47267086274.53275868151.17280162469.67286818331.27299834728.80303198573.971. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 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 RTX10K20K30K40K50KSE +/- 6.23, N = 3SE +/- 26.16, N = 3SE +/- 39.15, N = 3SE +/- 4.00, N = 3SE +/- 1.00, N = 3SE +/- 36.50, N = 3SE +/- 17.98, N = 3SE +/- 7.67, N = 3SE +/- 35.04, N = 3SE +/- 19.86, N = 3SE +/- 0.67, N = 3SE +/- 4.93, N = 3SE +/- 7.54, N = 3SE +/- 98.93, N = 3SE +/- 7.51, N = 3SE +/- 0.88, N = 3SE +/- 166.33, N = 3SE +/- 20.92, N = 3117321324616871122451729016925137882168915162161472168330093300972973429164301794297446546

LuxMark

OpenCL Device: GPU - Scene: Microphone

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 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 RTX7K14K21K28K35KSE +/- 2.00, N = 3SE +/- 18.25, N = 3SE +/- 49.74, N = 3SE +/- 1.53, N = 3SE +/- 4.91, N = 3SE +/- 15.50, N = 3SE +/- 1.20, N = 3SE +/- 19.33, N = 3SE +/- 1.33, N = 3SE +/- 2.33, N = 3SE +/- 3.84, N = 3SE +/- 43.34, N = 3SE +/- 26.44, N = 3SE +/- 16.84, N = 3SE +/- 11.68, N = 3SE +/- 108.17, N = 3SE +/- 21.50, N = 3SE +/- 168.12, N = 3798589141109670869983102598716137219794110031375418509184412049919916201642863130756

LuxMark

OpenCL Device: GPU - Scene: Hotel

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 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 RTX2K4K6K8K10KSE +/- 1.86, N = 3SE +/- 2.73, N = 3SE +/- 8.00, N = 3SE +/- 3.76, N = 3SE +/- 1.20, N = 3SE +/- 3.51, N = 3SE +/- 0.67, N = 3SE +/- 7.09, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 4.37, N = 3SE +/- 1.73, N = 3273030483885264838704170380756493733380548336148615065656590683992159836

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2GTX 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 RTX0.32630.65260.97891.30521.63150.620.650.620.830.961.101.001.021.111.101.211.271.291.421.381.451.381.33

FAHBench

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorGTX 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 RTX60120180240300Min: 48.8 / Avg: 147.69 / Max: 193Min: 49.8 / Avg: 159.19 / Max: 211.9Min: 56.3 / Avg: 186.17 / Max: 244.4Min: 66.3 / Avg: 124.04 / Max: 159.6Min: 43.8 / Avg: 145.58 / Max: 193.2Min: 49.1 / Avg: 125.16 / Max: 155Min: 44.9 / Avg: 154.62 / Max: 208.2Min: 77.6 / Avg: 195.24 / Max: 264.4Min: 46.5 / Avg: 114.3 / Max: 152.8Min: 47.6 / Avg: 127.19 / Max: 170.3Min: 45.7 / Avg: 151.46 / Max: 214.2Min: 48.5 / Avg: 161.35 / Max: 226.3Min: 46 / Avg: 158.7 / Max: 226.7Min: 46.6 / Avg: 161.4 / Max: 230Min: 47.5 / Avg: 176.01 / Max: 263Min: 64 / Avg: 177.55 / Max: 252.2Min: 49.7 / Avg: 218.05 / Max: 323.3Min: 52.5 / Avg: 226.18 / Max: 324.2

NAMD CUDA

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorGTX 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 RTX70140210280350Min: 51.3 / Avg: 258.19 / Max: 306.3Min: 52.6 / Avg: 238.95 / Max: 329.4Min: 55.9 / Avg: 272.91 / Max: 370.3Min: 45.2 / Avg: 198.8 / Max: 269.5Min: 48.2 / Avg: 206.59 / Max: 286.9Min: 50.3 / Avg: 198.82 / Max: 259.9Min: 48.6 / Avg: 253.18 / Max: 326.9Min: 55.3 / Avg: 266.23 / Max: 380Min: 44.9 / Avg: 177.54 / Max: 262.4Min: 47.7 / Avg: 177.22 / Max: 273.9Min: 46.1 / Avg: 197.89 / Max: 303.8Min: 48.4 / Avg: 233.81 / Max: 312Min: 50 / Avg: 202.69 / Max: 321.3Min: 47.2 / Avg: 198.42 / Max: 323.3Min: 52.9 / Avg: 238.49 / Max: 342.9Min: 48.8 / Avg: 219.44 / Max: 330.5Min: 53.9 / Avg: 251.92 / Max: 374Min: 54.3 / Avg: 214.96 / Max: 367.7

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 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 RTX30609012015065.0767.8770.6483.3495.03111.5476.5588.26108.70102.75112.43131.33130.30136.85119.09130.92131.66137.34

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 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 RTX60120180240300Min: 52.2 / Avg: 180.29 / Max: 185.6Min: 87.7 / Avg: 195.16 / Max: 205Min: 130.4 / Avg: 238.82 / Max: 247.5Min: 76 / Avg: 146.92 / Max: 152Min: 48.6 / Avg: 181.94 / Max: 188.2Min: 52.3 / Avg: 151.74 / Max: 155.9Min: 75.8 / Avg: 180.11 / Max: 185.5Min: 107.7 / Avg: 245.73 / Max: 254Min: 45.9 / Avg: 139.49 / Max: 144Min: 48.2 / Avg: 157.16 / Max: 163.8Min: 47.4 / Avg: 192.86 / Max: 200.8Min: 47.2 / Avg: 229.14 / Max: 241Min: 50.1 / Avg: 230.98 / Max: 243.5Min: 47.5 / Avg: 217.27 / Max: 227.7Min: 52.5 / Avg: 244.9 / Max: 255.3Min: 49.4 / Avg: 230.52 / Max: 238Min: 53.9 / Avg: 326.39 / Max: 340.7Min: 53.7 / Avg: 338.9 / Max: 360.6

LuxMark

OpenCL Device: GPU - Scene: Microphone

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 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 RTX2040608010044.9146.0847.2551.1458.6370.3250.2957.6871.2270.3372.1183.0983.9292.7882.6089.5889.7791.00

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 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 RTX60120180240300Min: 51.9 / Avg: 177.8 / Max: 184.4Min: 51 / Avg: 193.46 / Max: 203.7Min: 112.5 / Avg: 234.81 / Max: 244.3Min: 45.6 / Avg: 138.57 / Max: 144.8Min: 49 / Avg: 170.27 / Max: 177.6Min: 50.1 / Avg: 145.89 / Max: 150.4Min: 49.1 / Avg: 173.32 / Max: 180.3Min: 52.7 / Avg: 237.89 / Max: 245.4Min: 46 / Avg: 137.52 / Max: 142.7Min: 48 / Avg: 156.46 / Max: 161.4Min: 48.6 / Avg: 190.73 / Max: 198.4Min: 49.8 / Avg: 222.76 / Max: 232.3Min: 51.5 / Avg: 219.74 / Max: 234.1Min: 47.6 / Avg: 220.93 / Max: 232.4Min: 53.8 / Avg: 241.11 / Max: 251.4Min: 47.8 / Avg: 225.09 / Max: 235.4Min: 55.9 / Avg: 318.95 / Max: 337.2Min: 60.2 / Avg: 337.98 / Max: 356.9

LuxMark

OpenCL Device: GPU - Scene: Hotel

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 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 RTX61218243013.7214.1615.2117.0019.5925.6418.5120.0224.2222.5022.9226.3825.5227.1824.5027.4126.9927.46

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 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 RTX70140210280350Min: 50.9 / Avg: 198.98 / Max: 206.3Min: 51.4 / Avg: 215.19 / Max: 226.6Min: 57.2 / Avg: 255.39 / Max: 271.7Min: 45.7 / Avg: 155.74 / Max: 161.6Min: 48.8 / Avg: 197.56 / Max: 206Min: 51.1 / Avg: 162.66 / Max: 167.9Min: 47.9 / Avg: 205.71 / Max: 214.4Min: 55.9 / Avg: 282.16 / Max: 295.6Min: 46.7 / Avg: 154.16 / Max: 157.9Min: 47.2 / Avg: 169.1 / Max: 176.4Min: 50.4 / Avg: 210.86 / Max: 220.4Min: 47.9 / Avg: 233.07 / Max: 242.2Min: 51.8 / Avg: 241 / Max: 251.5Min: 47.6 / Avg: 241.53 / Max: 254.1Min: 52.6 / Avg: 269.03 / Max: 281.5Min: 50.8 / Avg: 249.5 / Max: 264.2Min: 54.2 / Avg: 341.41 / Max: 361Min: 57.7 / Avg: 358.16 / Max: 371

Rodinia

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorGTX 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 RTX306090120150Min: 85.4 / Avg: 117.57 / Max: 120.9Min: 88.8 / Avg: 119.77 / Max: 124.7Min: 110.1 / Avg: 153.24 / Max: 157.4Min: 62.8 / Avg: 97.17 / Max: 100.8Min: 70.9 / Avg: 107.97 / Max: 112.9Min: 49.1 / Avg: 105.1 / Max: 108.7Min: 47.4 / Avg: 113.6 / Max: 118.7Min: 53.3 / Avg: 137.65 / Max: 146.3Min: 45.5 / Avg: 90.35 / Max: 95.7Min: 45.9 / Avg: 98.53 / Max: 104.6Min: 46.6 / Avg: 112.18 / Max: 123.5Min: 46.3 / Avg: 122.27 / Max: 129.5Min: 48.1 / Avg: 122.39 / Max: 128.3Min: 46.4 / Avg: 116.19 / Max: 128.7Min: 49.5 / Avg: 131.08 / Max: 142Min: 46.6 / Avg: 123.16 / Max: 135.3Min: 51.1 / Avg: 152.87 / Max: 162.6Min: 51.9 / Avg: 158.82 / Max: 169.5

Rodinia

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070 TiGTX 1660GTX 1660 TiRTX 2060RTX 2070 SUPER4080120160200Min: 50.5 / Avg: 141.83 / Max: 190Min: 52.6 / Avg: 156.47 / Max: 203.2Min: 54.7 / Avg: 167.04 / Max: 233.5Min: 44.7 / Avg: 111.27 / Max: 154.1Min: 50.3 / Avg: 101.74 / Max: 149.4Min: 45.1 / Avg: 88.85 / Max: 116.6Min: 46 / Avg: 107.04 / Max: 129.7Min: 47.6 / Avg: 121.91 / Max: 156.6Min: 47 / Avg: 103.36 / Max: 166

ViennaCL

OpenCL LU Factorization

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL 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 RTX0.3150.630.9451.261.5750.660.790.601.000.800.710.700.591.081.100.731.401.350.900.711.181.311.35

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 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 RTX0.72681.45362.18042.90723.6340.961.041.451.251.351.531.651.621.581.962.662.432.442.822.282.833.232.17

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGTX 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 RTX2040608010029.2931.4032.0540.0650.3061.4359.8766.2650.1749.6350.3656.3857.1365.7663.9373.2376.6977.72

SHOC Scalable HeterOgeneous Computing

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorGTX 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 RTX70140210280350Min: 80.6 / Avg: 148.92 / Max: 222.7Min: 97.6 / Avg: 160.93 / Max: 243.5Min: 126.9 / Avg: 193.91 / Max: 298.6Min: 74.8 / Avg: 119.53 / Max: 184.8Min: 78 / Avg: 141.46 / Max: 206.4Min: 50.5 / Avg: 125.61 / Max: 179.8Min: 94 / Avg: 157.13 / Max: 259.6Min: 49.6 / Avg: 199.67 / Max: 326.6Min: 44.5 / Avg: 106.24 / Max: 161Min: 46.4 / Avg: 118.75 / Max: 170.7Min: 47 / Avg: 145.37 / Max: 229.5Min: 46.8 / Avg: 148.63 / Max: 238Min: 47.9 / Avg: 149.29 / Max: 251.7Min: 47.1 / Avg: 150.09 / Max: 265.5Min: 48.7 / Avg: 171.33 / Max: 292.2Min: 47 / Avg: 164.08 / Max: 318.6Min: 51.3 / Avg: 217.17 / Max: 360Min: 52 / Avg: 223.03 / Max: 367

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 Ti481216205.125.456.924.006.236.367.877.975.7012.2513.2317.598.6715.5815.4611.54

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 970GTX 980GTX 980 TiGTX 1060GTX 1080GTX 1660GTX 1660 TiRTX 2060RTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX0.08330.16660.24990.33320.41650.050.080.040.110.150.260.260.120.150.300.210.320.37

JuliaGPU

OpenCL Device: GPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGTX 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 RTX600K1200K1800K2400K3000K1275493.931325997.881099178.251658141.691809790.272260229.901906369.991682592.712790569.692880366.362469451.172670026.702271141.792632329.692691799.292379445.261910018.661923116.67

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX36912151.521.652.021.842.631.922.262.733.162.244.883.335.415.094.869.156.18

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 970GTX 980GTX 980 TiGTX 1070GTX 1070 TiGTX 1080GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5010015020025039.3636.4942.0070.6384.4689.1171.35109.20111.7474.32121.6279.2584.49222.09103.61

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorGTX 970GTX 980GTX 980 TiGTX 1660 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERTITAN RTX60120180240300Min: 51.4 / Avg: 98.78 / Max: 148.8Min: 52.5 / Avg: 122.69 / Max: 181.1Min: 54.9 / Avg: 131.87 / Max: 194.2Min: 45.5 / Avg: 67.18 / Max: 127.1Min: 46.6 / Avg: 63.45 / Max: 103Min: 48.2 / Avg: 96.86 / Max: 180.2Min: 47.5 / Avg: 69.91 / Max: 138.9Min: 50.6 / Avg: 137.09 / Max: 308.7

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 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 RTX0.60751.2151.82252.433.03750.981.091.091.461.902.142.202.491.731.721.841.851.952.252.252.502.652.70

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorGTX 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 RTX4080120160200Min: 93.6 / Avg: 140.29 / Max: 146.2Min: 51.6 / Avg: 146.12 / Max: 159.1Min: 128.4 / Avg: 179.97 / Max: 191.4Min: 44.7 / Avg: 102.22 / Max: 117.3Min: 46 / Avg: 117.77 / Max: 137.1Min: 51 / Avg: 113.26 / Max: 124.1Min: 46.2 / Avg: 135.52 / Max: 152.6Min: 51.6 / Avg: 166.5 / Max: 193Min: 43.9 / Avg: 97.25 / Max: 106.6Min: 46.4 / Avg: 107.92 / Max: 119.4Min: 47.9 / Avg: 126.06 / Max: 143Min: 47.1 / Avg: 142.14 / Max: 150.8Min: 46.9 / Avg: 137.5 / Max: 151.9Min: 47 / Avg: 137.66 / Max: 150.3Min: 49.8 / Avg: 153.89 / Max: 172.5Min: 47.6 / Avg: 151.43 / Max: 166.9Min: 50.3 / Avg: 197 / Max: 217.1Min: 51.5 / Avg: 203.24 / Max: 225.1

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 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 RTX3060901201509.198.449.0010.8323.8925.5926.8216.5279.9461.3863.2580.7452.7860.39123.0772.1654.7666.58

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorGTX 1060GTX 1080 TiGTX 1660 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080 SUPERTITAN RTX70140210280350Min: 66.2 / Avg: 117.06 / Max: 191Min: 52.4 / Avg: 199.89 / Max: 328.7Min: 46.4 / Avg: 77.81 / Max: 158.1Min: 47.4 / Avg: 86.98 / Max: 242.5Min: 47.8 / Avg: 135.68 / Max: 254.5Min: 47.5 / Avg: 141.91 / Max: 279.4Min: 47.9 / Avg: 144.19 / Max: 288.8Min: 52.5 / Avg: 207.88 / Max: 366.7

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 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 RTX0.86631.73262.59893.46524.33151.051.191.761.341.681.861.902.101.692.672.763.093.283.473.263.853.383.37

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 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 RTX0.83481.66962.50443.33924.1741.071.031.481.441.541.761.642.021.612.332.242.613.712.602.742.853.463.13

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 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 RTX6121824306.987.177.679.5712.3514.1614.0215.2114.7916.0618.2020.6821.3524.7526.2125.0626.7122.19

PlaidML

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 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 RTX0.4590.9181.3771.8362.2950.560.610.600.780.951.121.101.131.221.321.341.491.571.721.751.992.042.04

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX50100150200250Min: 72.9 / Avg: 158.81 / Max: 190.7Min: 99.3 / Avg: 168.06 / Max: 211.7Min: 128.3 / Avg: 193.81 / Max: 239.9Min: 55.5 / Avg: 124.66 / Max: 155.7Min: 70.5 / Avg: 148.83 / Max: 185.2Min: 51 / Avg: 131.33 / Max: 154.1Min: 84.5 / Avg: 158.48 / Max: 204.6Min: 125.6 / Avg: 201.87 / Max: 257Min: 44.4 / Avg: 112.99 / Max: 143Min: 46.7 / Avg: 122.59 / Max: 164Min: 48.8 / Avg: 144.1 / Max: 197.4Min: 53 / Avg: 147.84 / Max: 203.6Min: 47.6 / Avg: 141.04 / Max: 207.9Min: 46.6 / Avg: 139.53 / Max: 205.1Min: 49 / Avg: 153.24 / Max: 230.1Min: 48.4 / Avg: 151.02 / Max: 226.9Min: 50.7 / Avg: 178.03 / Max: 280Min: 51.1 / Avg: 182.86 / Max: 282.6

PlaidML

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 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 RTX0.5761.1521.7282.3042.880.710.780.791.011.241.571.511.761.421.471.551.741.692.102.192.222.532.56

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX50100150200250Min: 81.7 / Avg: 163.48 / Max: 201.2Min: 52.8 / Avg: 183.08 / Max: 228.8Min: 127.5 / Avg: 205.03 / Max: 260.5Min: 68.7 / Avg: 129.36 / Max: 164Min: 77.9 / Avg: 157.58 / Max: 202.6Min: 51.5 / Avg: 131.42 / Max: 162.8Min: 94.6 / Avg: 159.56 / Max: 227.4Min: 55.7 / Avg: 189.84 / Max: 284.9Min: 44.8 / Avg: 109.89 / Max: 143.5Min: 47.3 / Avg: 117.8 / Max: 162Min: 47.9 / Avg: 142.09 / Max: 199.4Min: 54.4 / Avg: 144.26 / Max: 207.2Min: 49 / Avg: 148.17 / Max: 210.6Min: 47.9 / Avg: 135.09 / Max: 211.7Min: 50.7 / Avg: 139.72 / Max: 234.8Min: 48.5 / Avg: 147.96 / Max: 225.2Min: 51.5 / Avg: 167.74 / Max: 291.7Min: 55.6 / Avg: 169.21 / Max: 293

PlaidML

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLGTX 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 RTX0.08330.16660.24990.33320.41650.110.120.130.150.180.230.200.240.210.220.230.250.260.300.290.320.370.37

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 94.8 / Avg: 192.64 / Max: 216.8Min: 99.4 / Avg: 199.9 / Max: 241.3Min: 124.3 / Avg: 237.03 / Max: 284.6Min: 75.4 / Avg: 157.49 / Max: 178.6Min: 83.7 / Avg: 182.29 / Max: 211.2Min: 51.4 / Avg: 151.49 / Max: 175.5Min: 48.2 / Avg: 203.49 / Max: 246Min: 107 / Avg: 238.78 / Max: 315.7Min: 44.8 / Avg: 135.27 / Max: 159.9Min: 46.5 / Avg: 154.44 / Max: 184.5Min: 48.1 / Avg: 176.3 / Max: 224.1Min: 54.2 / Avg: 192.58 / Max: 235.4Min: 48 / Avg: 190.9 / Max: 247Min: 46.5 / Avg: 184.51 / Max: 249.7Min: 49.7 / Avg: 201.32 / Max: 272.7Min: 46.7 / Avg: 204.84 / Max: 277Min: 50.4 / Avg: 231.53 / Max: 336Min: 51.3 / Avg: 235.38 / Max: 341.7

PlaidML

FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 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 RTX0.34430.68861.03291.37721.72150.540.590.580.720.941.010.950.940.960.991.151.261.271.531.291.411.471.52

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX50100150200250Min: 52.1 / Avg: 148.78 / Max: 190.2Min: 53.5 / Avg: 157.67 / Max: 213.1Min: 57 / Avg: 191.08 / Max: 247.4Min: 45.7 / Avg: 125.77 / Max: 157.6Min: 48.3 / Avg: 135.38 / Max: 188.6Min: 53.5 / Avg: 128.35 / Max: 157.6Min: 49.1 / Avg: 151.63 / Max: 200.9Min: 109.8 / Avg: 203.83 / Max: 255.3Min: 45.8 / Avg: 106.92 / Max: 138.1Min: 48.2 / Avg: 115.16 / Max: 152Min: 49 / Avg: 134.34 / Max: 190.3Min: 55.8 / Avg: 142.16 / Max: 204.9Min: 51.5 / Avg: 138.71 / Max: 203.8Min: 49.1 / Avg: 124.58 / Max: 203.3Min: 51.5 / Avg: 146.49 / Max: 216.5Min: 48.8 / Avg: 141.86 / Max: 214.3Min: 52.4 / Avg: 173.16 / Max: 273Min: 52.7 / Avg: 173.29 / Max: 277.5

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 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 RTX0.2340.4680.7020.9361.170.270.280.290.370.490.570.560.620.480.480.550.550.610.660.770.801.040.94

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 51.5 / Avg: 184.27 / Max: 233.4Min: 69.1 / Avg: 196.2 / Max: 247.2Min: 55.1 / Avg: 244.29 / Max: 316.2Min: 45.8 / Avg: 152.31 / Max: 187.6Min: 47.7 / Avg: 162.2 / Max: 207.3Min: 95.2 / Avg: 160.1 / Max: 191.4Min: 88.2 / Avg: 189.28 / Max: 251.8Min: 118 / Avg: 235.58 / Max: 316.5Min: 45.6 / Avg: 137.8 / Max: 169.2Min: 47.3 / Avg: 151.58 / Max: 191.5Min: 48.1 / Avg: 163.79 / Max: 226.4Min: 54 / Avg: 187.95 / Max: 233.7Min: 48.1 / Avg: 174.02 / Max: 249.3Min: 46.7 / Avg: 187.65 / Max: 267.6Min: 54.1 / Avg: 173.35 / Max: 273.1Min: 49.4 / Avg: 181.31 / Max: 274.6Min: 52.7 / Avg: 188.04 / Max: 345.4Min: 53.8 / Avg: 216.91 / Max: 353.5

PlaidML

FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 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 RTX0.16430.32860.49290.65720.82150.200.220.230.280.370.460.430.490.380.380.400.390.440.490.580.590.730.71

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 89.6 / Avg: 193.7 / Max: 220.3Min: 53.3 / Avg: 201.25 / Max: 246.9Min: 71.2 / Avg: 244.52 / Max: 316.6Min: 45.9 / Avg: 157.15 / Max: 187.3Min: 70.7 / Avg: 170.23 / Max: 208.9Min: 51.9 / Avg: 158.16 / Max: 196.1Min: 91.2 / Avg: 194.23 / Max: 252.2Min: 120.6 / Avg: 236.48 / Max: 318.6Min: 45.5 / Avg: 136.67 / Max: 171.6Min: 48.2 / Avg: 154.23 / Max: 191.6Min: 48.9 / Avg: 179.62 / Max: 228Min: 57.1 / Avg: 209.61 / Max: 237.5Min: 48.7 / Avg: 189.06 / Max: 250.5Min: 47.2 / Avg: 198.27 / Max: 271.7Min: 52.6 / Avg: 181.66 / Max: 277.7Min: 49.1 / Avg: 194.92 / Max: 278.5Min: 52.9 / Avg: 210.77 / Max: 350.6Min: 52.8 / Avg: 227.24 / Max: 356.3

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 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 RTX6121824305.205.536.647.599.6511.309.3510.229.5611.2011.6712.9814.8419.7014.1616.6022.6323.23

PlaidML

FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 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 RTX0.43880.87761.31641.75522.1940.520.560.610.700.991.080.941.340.951.021.111.231.181.341.361.521.661.95

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 81.4 / Avg: 182.54 / Max: 219.9Min: 56.7 / Avg: 188.31 / Max: 242.7Min: 126.5 / Avg: 220.09 / Max: 281.6Min: 46.9 / Avg: 150.12 / Max: 180Min: 84.3 / Avg: 149.15 / Max: 206.1Min: 51.1 / Avg: 141.76 / Max: 172.5Min: 84.7 / Avg: 196.13 / Max: 242.5Min: 128 / Avg: 191.53 / Max: 304Min: 46.3 / Avg: 123.06 / Max: 152.7Min: 46.3 / Avg: 136.65 / Max: 177.5Min: 47.6 / Avg: 150.66 / Max: 214.3Min: 54.4 / Avg: 162.79 / Max: 223.8Min: 49.8 / Avg: 167.7 / Max: 230.4Min: 49.5 / Avg: 161.34 / Max: 234.9Min: 49.4 / Avg: 176.08 / Max: 254.9Min: 49.6 / Avg: 170.73 / Max: 255.1Min: 51.8 / Avg: 206.66 / Max: 321.6Min: 56.2 / Avg: 178.56 / Max: 327.6

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 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 RTX1.13182.26363.39544.52725.6591.051.151.061.481.802.102.252.661.901.842.162.593.092.893.213.183.705.03

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX60120180240300Min: 83.3 / Avg: 172.91 / Max: 233.2Min: 53 / Avg: 176.69 / Max: 244.6Min: 129.1 / Avg: 233.7 / Max: 292Min: 45.9 / Avg: 132.6 / Max: 182.3Min: 89.6 / Avg: 153.55 / Max: 208.4Min: 52.2 / Avg: 140.17 / Max: 177.3Min: 48.4 / Avg: 149.71 / Max: 246.6Min: 56.4 / Avg: 186.43 / Max: 312.7Min: 46.3 / Avg: 119.8 / Max: 159.7Min: 47.9 / Avg: 141.14 / Max: 182.8Min: 48.6 / Avg: 147.64 / Max: 221.8Min: 55.4 / Avg: 144.71 / Max: 231.4Min: 47.5 / Avg: 122.1 / Max: 239.9Min: 46.8 / Avg: 145.98 / Max: 249.6Min: 52 / Avg: 137.63 / Max: 231.8Min: 49.4 / Avg: 162.94 / Max: 270.3Min: 52.7 / Avg: 128.84 / Max: 167.9

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 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 RTX1.14532.29063.43594.58125.72651.281.431.411.832.372.592.813.002.983.143.103.233.683.673.954.524.565.09

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 Ti50100150200250Min: 94.4 / Avg: 160.18 / Max: 203.4Min: 100 / Avg: 162.49 / Max: 218.7Min: 57.1 / Avg: 192.1 / Max: 249.1Min: 46.3 / Avg: 122.88 / Max: 159.6Min: 50.4 / Avg: 132.86 / Max: 187.3Min: 52.4 / Avg: 128.8 / Max: 152Min: 48.5 / Avg: 142.23 / Max: 208.8Min: 46.3 / Avg: 96.5 / Max: 135.8Min: 46.6 / Avg: 100.43 / Max: 150.5Min: 49.2 / Avg: 125.65 / Max: 186.5Min: 54.9 / Avg: 136.39 / Max: 187.2Min: 49.2 / Avg: 136.18 / Max: 192.6Min: 56.5 / Avg: 138.96 / Max: 215.1Min: 51.8 / Avg: 130.6 / Max: 207.8Min: 52.6 / Avg: 166.27 / Max: 275.3

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 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 RTX0.23180.46360.69540.92721.1590.310.320.320.420.560.670.610.750.580.560.620.710.680.810.820.820.981.03

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 94.5 / Avg: 195.88 / Max: 219.3Min: 90.4 / Avg: 213.83 / Max: 251.4Min: 56.5 / Avg: 270.73 / Max: 328.7Min: 69.4 / Avg: 166.46 / Max: 190Min: 50 / Avg: 172.78 / Max: 208.8Min: 52.3 / Avg: 169.99 / Max: 205.7Min: 46.2 / Avg: 209.24 / Max: 254.3Min: 51.8 / Avg: 234.29 / Max: 318.4Min: 45.6 / Avg: 146.27 / Max: 182Min: 46.4 / Avg: 163.81 / Max: 195.7Min: 48.4 / Avg: 179.22 / Max: 228.5Min: 53.3 / Avg: 181.51 / Max: 239.5Min: 48.4 / Avg: 193.79 / Max: 250.6Min: 47.2 / Avg: 191.71 / Max: 276.3Min: 48.9 / Avg: 201.23 / Max: 285.7Min: 47.7 / Avg: 218.91 / Max: 299.1Min: 52.7 / Avg: 239.16 / Max: 354.3Min: 52.4 / Avg: 239.94 / Max: 363

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 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 RTX0.16880.33760.50640.67520.8440.240.260.250.320.430.500.480.560.420.440.460.520.530.610.560.640.740.75

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 75.4 / Avg: 201.26 / Max: 220.7Min: 55.7 / Avg: 208.34 / Max: 246.7Min: 119.7 / Avg: 273.57 / Max: 330.8Min: 45.1 / Avg: 170.04 / Max: 188.8Min: 84.2 / Avg: 180.68 / Max: 209.8Min: 52.4 / Avg: 180.41 / Max: 207.7Min: 89.9 / Avg: 209.47 / Max: 253.5Min: 55.7 / Avg: 245.95 / Max: 321.1Min: 46 / Avg: 160.67 / Max: 185.8Min: 48.3 / Avg: 167.7 / Max: 196.3Min: 50.1 / Avg: 192.21 / Max: 230.7Min: 55 / Avg: 193.52 / Max: 240.6Min: 49.7 / Avg: 197.21 / Max: 252.5Min: 47.5 / Avg: 199.98 / Max: 276.8Min: 49.9 / Avg: 230.45 / Max: 288.2Min: 49.5 / Avg: 224.18 / Max: 302.6Min: 52.9 / Avg: 251.39 / Max: 354Min: 53.2 / Avg: 260.22 / Max: 361.7

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLGTX 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 RTX481216201.261.832.161.904.215.867.108.752.843.134.796.575.788.9810.7312.3214.0015.81

LeelaChessZero

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.22.0System Power Consumption MonitorGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX70140210280350Min: 82.3 / Avg: 164.63 / Max: 252.9Min: 51.8 / Avg: 153.94 / Max: 247.5Min: 59.1 / Avg: 216.14 / Max: 319.4Min: 47.2 / Avg: 138.37 / Max: 187.2Min: 71.9 / Avg: 152.4 / Max: 214.7Min: 52 / Avg: 128.59 / Max: 197.7Min: 48.8 / Avg: 161.47 / Max: 252.9Min: 106.6 / Avg: 215.46 / Max: 320.5Min: 46.5 / Avg: 118.46 / Max: 180.4Min: 47.9 / Avg: 134.26 / Max: 195.9Min: 49.1 / Avg: 147.07 / Max: 231.4Min: 45.5 / Avg: 151.83 / Max: 241.9Min: 48.6 / Avg: 172.95 / Max: 253.7Min: 47.2 / Avg: 178.69 / Max: 276Min: 52.8 / Avg: 175.13 / Max: 286.6Min: 47.5 / Avg: 170.9 / Max: 315Min: 53.3 / Avg: 197.7 / Max: 371.4

OctaneBench

Total Score

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00cTotal ScoreGTX 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 RTX0.24080.48160.72240.96321.2040.600.610.640.760.841.070.880.890.930.910.870.970.961.040.931.040.960.99

OctaneBench

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00cSystem Power Consumption MonitorGTX 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 RTX60120180240300Min: 50.8 / Avg: 160.22 / Max: 180Min: 53.6 / Avg: 178.66 / Max: 203.2Min: 128.3 / Avg: 220.62 / Max: 240Min: 44.9 / Avg: 120.33 / Max: 135.2Min: 86 / Avg: 157.88 / Max: 173.8Min: 52.2 / Avg: 132.45 / Max: 182.7Min: 48.3 / Avg: 167.77 / Max: 228.3Min: 130.6 / Avg: 236.94 / Max: 265Min: 46.3 / Avg: 127.11 / Max: 144.7Min: 47.1 / Avg: 145.79 / Max: 161.1Min: 49.8 / Avg: 188.5 / Max: 218.2Min: 46.5 / Avg: 210.53 / Max: 232.6Min: 47.1 / Avg: 215.17 / Max: 242.1Min: 49 / Avg: 211.57 / Max: 245.6Min: 50 / Avg: 239.21 / Max: 278.1Min: 47.8 / Avg: 225.1 / Max: 261.8Min: 51.7 / Avg: 322.94 / Max: 355.5Min: 55.3 / Avg: 326.69 / Max: 357.7

GPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 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 RTX1632486480Min: 28 / Avg: 52.34 / Max: 68Min: 29 / Avg: 68.53 / Max: 81Min: 36 / Avg: 71.62 / Max: 85Min: 30 / Avg: 58.15 / Max: 74Min: 28 / Avg: 61.94 / Max: 76Min: 39 / Avg: 48.41 / Max: 61Min: 30 / Avg: 63.66 / Max: 77Min: 34 / Avg: 67.92 / Max: 84Min: 28 / Avg: 56.71 / Max: 77Min: 30 / Avg: 50.73 / Max: 65Min: 32 / Avg: 57.94 / Max: 72Min: 29 / Avg: 54.33 / Max: 75Min: 28 / Avg: 58.64 / Max: 77Min: 27 / Avg: 43.67 / Max: 69Min: 30 / Avg: 66.02 / Max: 83Min: 34 / Avg: 53.35 / Max: 70Min: 31 / Avg: 60.94 / Max: 77Min: 37 / Avg: 62.01 / Max: 80

System Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 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 RTX70140210280350Min: 48.8 / Avg: 157.71 / Max: 306.3Min: 49.8 / Avg: 167.77 / Max: 329.4Min: 53.6 / Avg: 199.07 / Max: 370.3Min: 44.3 / Avg: 128.45 / Max: 269.5Min: 43.8 / Avg: 150.54 / Max: 286.9Min: 48.6 / Avg: 131.89 / Max: 259.9Min: 44.9 / Avg: 162.99 / Max: 328.3Min: 49.6 / Avg: 207.86 / Max: 380Min: 43.1 / Avg: 115.15 / Max: 262.4Min: 45.4 / Avg: 127.55 / Max: 273.9Min: 46.1 / Avg: 153.75 / Max: 303.8Min: 45.4 / Avg: 158.95 / Max: 312Min: 46 / Avg: 164.53 / Max: 321.3Min: 45.5 / Avg: 134.05 / Max: 323.3Min: 47.5 / Avg: 181.54 / Max: 342.9Min: 46 / Avg: 173.42 / Max: 330.5Min: 49.7 / Avg: 227.4 / Max: 374Min: 50.6 / Avg: 227.86 / Max: 371.4

Phoronix Test Suite v10.8.5