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&rdt.

NVIDIA Linux OpenCL CUDA RTX SUPER ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 TiIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0802 BIOS)Intel Cannon Lake PCH16384MBSamsung SSD 970 EVO 250GBNVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 19.045.3.0-999-generic (x86_64) 20190914GNOME Shell 3.32.2X Server 1.20.4NVIDIA 435.214.6.0GCC 8.3.0ext43840x2160NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)5.0.0-29-generic (x86_64)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)OpenBenchmarking.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- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2060 SUPER: GPU Compute Cores: 2176- GTX 980 Ti: GPU Compute Cores: 2816- RTX 2080 SUPER: GPU Compute Cores: 3072- TITAN RTX: GPU Compute Cores: 4608- RTX 2070: GPU Compute Cores: 2304- GTX 1070 Ti: GPU Compute Cores: 2432- RTX 2080: GPU Compute Cores: 2944- RTX 2060: GPU Compute Cores: 1920- GTX 1060: GPU Compute Cores: 1280- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- GTX 1660 Ti: GPU Compute Cores: 1536- GTX 980: GPU Compute Cores: 2048- GTX 1660: GPU Compute Cores: 1408- GTX 1070: GPU Compute Cores: 1920- GTX 970: GPU Compute Cores: 1664- RTX 2080 Ti: GPU Compute Cores: 4352Python Details- RTX 2070 SUPER, GTX 980 Ti, RTX 2080 SUPER, TITAN RTX, RTX 2070, GTX 1070 Ti, RTX 2080, RTX 2060, GTX 1060, GTX 1080, GTX 1080 Ti, GTX 1660 Ti, GTX 980, GTX 1660, GTX 1070, GTX 970, RTX 2080 Ti: 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 - HotelRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1.933.710.802264.97239.61283.9855.24190.01123.2097.821649.17215.85421.58499.69154.64122.321604.219869.341088.1721.7830.766.82229.120.19501220.76291.87395.67319.57369.118502.71310.278570.6070.45275868151.17297342049965651.953.680.751983.82219.76250.9848.96179.51102.5880.821531.01199.43374.71440.79128.22101.17998.178378.87971.2418.2230.427.87205.200.19336205.23287.80395.67333.20367.927089.50263.117023.0769.17264172441.47300931850961483.274.121.511202.77116.31162.6330.64111.4671.2656.13990.12135.14247.47270.0087.3968.47466.846213.97725.989.2252.139.95116.020.28675142.20216.83265.33241.50263.225538.75196.601610.2862.01195653728.47168711109638851.823.690.792437.48301.11327.8064.80200.38145.65115.441762.00259.26468.70589.86180.45143.022105.2612015.501203.5726.5630.635.74256.830.19385233.56301.23436.27345.77405.0010335.50378.9810404.7171.47286818331.27301792016468391.643.660.742842.38373.71433.8187.17263.13204.67162.052466.66347.93648.36790.77247.83196.443126.4817334.001578.2936.3931.694.24301.930.18867322.76322.20566.70495.37528.8914203.87547.9713841.2572.96303198573.97465463075698361.933.670.751969.50220.99251.0749.94176.49105.6083.561516.96198.03376.73446.23131.54103.89999.758528.70976.7818.7731.647.75204.710.19440206.88284.43395.70322.67368.967198.64268.327161.4869.41267086274.53300971844161502.933.971.171371.21147.04205.8535.41130.1592.0373.121009.26153.34294.36333.03114.0390.34753.697715.42525.8911.7038.707.88138.210.22269141.35182.70205.27190.03197.266770.97242.632076.9364.68220447755.87169251025941701.903.710.802292.38268.33305.7658.47189.28133.20105.541663.87238.73441.24548.83164.05129.581879.9910952.771100.0024.0731.656.22242.750.19307222.88289.20395.70331.50368.478883.90345.819660.9270.96280162469.67291641991665902.223.730.831694.07193.75220.4441.11154.1989.5571.071232.47167.87319.25389.40110.9388.04704.697320.73818.4416.0431.118.90183.410.20250164.52237.77296.20241.20275.865329.07231.445269.0167.92251925176.90216831375448333.654.071.28908.4397.83130.6423.1691.0756.0744.37726.30104.44196.00224.8969.3154.78262.414788.92326.687.2634.6911.93102.610.3178991.44137.20153.50144.57146.624199.71149.581267.8958.67182188318.6712245708626482.723.941.091544.50173.79240.6240.38143.53106.0983.831123.85184.80337.47399.00128.05101.001146.759407.75614.6914.2534.876.49155.220.20978147.98205.93228.80214.67222.098314.29297.942430.7466.67237914974.4013788871638072.293.921.052162.58228.68333.5456.64191.31145.42115.031672.73257.55496.24523.98175.37138.681886.3013230.77982.2319.7235.914.96198.250.19669212.04283.20337.53340.27328.9011720.57414.963301.8969.09262248899.33216891372156492.924.021.151394.05161.33172.6834.12114.5873.1858.031002.00140.05259.43315.8392.4573.35420.045893.41665.6612.9830.6710.82139.810.23185132.28208.50250.23208.67234.674793.66185.124775.4566.06239300837.60161471100338053.925.743.10973.39101.92142.1424.2492.9255.7043.63759.43105.64203.91231.6668.9553.49280.995052.73458.357.4947.3811.69102.860.33110109.70143.40164.50151.50164.254476.69159.681312.0659.21181882709.7713246891430483.354.011.181160.52137.66156.5028.99102.8366.2452.52814.65116.90228.14287.6884.8367.24335.865329.84452.8911.8730.9711.87126.640.25031118.49145.37162.90148.87157.604610.01168.444657.7965.10230919642.1315162979437332.893.921.111288.94141.55196.0133.07127.0280.2763.56987.69147.17276.89315.3797.3276.89642.127115.39478.5410.6135.108.26140.290.23957132.86182.00205.27190.90196.476269.49223.911685.0563.86216942144.9317290998338704.425.783.16841.4888.16116.0521.4279.7149.7639.34671.4994.72181.87204.3260.3247.70207.844362.31411.296.5045.4812.9991.530.3636895.60124.77142.10132.60143.483888.16137.471140.2956.95169258044.9011732798527301.643.660.752750.57363.16424.0784.97254.45194.83154.202335.46343.49634.09758.21234.65186.193032.1016656.201485.7334.9131.054.39301.890.18909309.04324.40544.33441.23506.3313532.74521.9013609.3372.71299834728.8042974286319215OpenBenchmarking.org

Darktable

Test: Boat - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Boat - Acceleration: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.99451.9892.98353.9784.9725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.931.953.271.821.641.932.931.902.223.652.722.292.923.923.352.894.421.64

Darktable

Test: Masskrug - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Masskrug - Acceleration: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1.30052.6013.90155.2026.5025SE +/- 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.713.684.123.693.663.673.973.713.734.073.943.924.025.744.013.925.783.66

Darktable

Test: Server Room - Acceleration: OpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.7111.4222.1332.8443.555SE +/- 0.00, N = 3SE +/- 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.800.751.510.790.740.751.170.800.831.281.091.051.153.101.181.113.160.75

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti6001200180024003000SE +/- 4.73, N = 3SE +/- 10.89, N = 3SE +/- 1.24, N = 3SE +/- 6.75, N = 3SE +/- 4.02, N = 3SE +/- 5.21, N = 3SE +/- 0.80, N = 3SE +/- 4.68, N = 3SE +/- 3.62, N = 3SE +/- 2.37, N = 3SE +/- 4.27, N = 3SE +/- 7.35, N = 3SE +/- 2.77, N = 3SE +/- 2.37, N = 3SE +/- 1.34, N = 3SE +/- 4.57, N = 3SE +/- 1.43, N = 3SE +/- 13.82, N = 32264.971983.821202.772437.482842.381969.501371.212292.381694.07908.431544.502162.581394.05973.391160.521288.94841.482750.57

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti80160240320400SE +/- 0.10, N = 3SE +/- 0.44, N = 3SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.48, N = 3SE +/- 0.43, N = 3SE +/- 0.06, N = 3SE +/- 0.59, N = 3SE +/- 0.37, N = 3SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.44, N = 3239.61219.76116.31301.11373.71220.99147.04268.33193.7597.83173.79228.68161.33101.92137.66141.5588.16363.16

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti90180270360450SE +/- 0.71, N = 3SE +/- 0.48, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.70, N = 3SE +/- 0.53, N = 3SE +/- 0.08, N = 3SE +/- 0.60, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 0.00, N = 3SE +/- 1.04, N = 3283.98250.98162.63327.80433.81251.07205.85305.76220.44130.64240.62333.54172.68142.14156.50196.01116.05424.07

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti20406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 355.2448.9630.6464.8087.1749.9435.4158.4741.1123.1640.3856.6434.1224.2428.9933.0721.4284.97

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3190.01179.51111.46200.38263.13176.49130.15189.28154.1991.07143.53191.31114.5892.92102.83127.0279.71254.45

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4080120160200SE +/- 0.28, N = 3SE +/- 0.35, N = 3SE +/- 1.12, N = 3SE +/- 0.29, N = 3SE +/- 0.57, N = 3SE +/- 0.39, N = 3SE +/- 0.08, N = 3SE +/- 0.57, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.40, N = 3SE +/- 0.62, N = 3SE +/- 0.14, N = 3SE +/- 0.83, N = 4SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.21, N = 3SE +/- 0.51, N = 3123.20102.5871.26145.65204.67105.6092.03133.2089.5556.07106.09145.4273.1855.7066.2480.2749.76194.83

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4080120160200SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.77, N = 3SE +/- 0.21, N = 3SE +/- 0.48, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.44, N = 3SE +/- 0.12, N = 3SE +/- 0.62, N = 4SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.36, N = 397.8280.8256.13115.44162.0583.5673.12105.5471.0744.3783.83115.0358.0343.6352.5263.5639.34154.20

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti5001000150020002500SE +/- 1.25, N = 3SE +/- 1.59, N = 3SE +/- 0.07, N = 3SE +/- 2.80, N = 3SE +/- 13.68, N = 3SE +/- 1.46, N = 3SE +/- 0.73, N = 3SE +/- 4.17, N = 3SE +/- 2.11, N = 3SE +/- 0.63, N = 3SE +/- 1.27, N = 3SE +/- 5.20, N = 3SE +/- 0.86, N = 3SE +/- 0.24, N = 3SE +/- 1.38, N = 3SE +/- 1.57, N = 3SE +/- 0.75, N = 3SE +/- 6.28, N = 31649.171531.01990.121762.002466.661516.961009.261663.871232.47726.301123.851672.731002.00759.43814.65987.69671.492335.46

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti80160240320400SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.57, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3215.85199.43135.14259.26347.93198.03153.34238.73167.87104.44184.80257.55140.05105.64116.90147.1794.72343.49

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti140280420560700SE +/- 0.19, N = 3SE +/- 0.53, N = 3SE +/- 0.58, N = 3SE +/- 0.61, N = 3SE +/- 0.75, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.39, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.72, N = 3SE +/- 0.47, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.63, N = 3421.58374.71247.47468.70648.36376.73294.36441.24319.25196.00337.47496.24259.43203.91228.14276.89181.87634.09

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti2004006008001000SE +/- 0.67, N = 3SE +/- 0.31, N = 3SE +/- 0.56, N = 3SE +/- 1.47, N = 3SE +/- 2.25, N = 3SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 1.63, N = 3SE +/- 0.37, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.74, N = 3SE +/- 0.15, N = 3SE +/- 0.50, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 1.01, N = 3499.69440.79270.00589.86790.77446.23333.03548.83389.40224.89399.00523.98315.83231.66287.68315.37204.32758.21

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti50100150200250SE +/- 0.29, N = 3SE +/- 0.34, N = 3SE +/- 1.36, N = 3SE +/- 0.28, N = 3SE +/- 0.40, N = 3SE +/- 0.43, N = 3SE +/- 0.06, N = 3SE +/- 0.73, N = 3SE +/- 0.32, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.62, N = 3SE +/- 0.24, N = 3SE +/- 0.79, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.50, N = 3154.64128.2287.39180.45247.83131.54114.03164.05110.9369.31128.05175.3792.4568.9584.8397.3260.32234.65

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4080120160200SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.65, N = 3SE +/- 0.22, N = 3SE +/- 0.54, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 0.12, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.41, N = 3122.32101.1768.47143.02196.44103.8990.34129.5888.0454.78101.00138.6873.3553.4967.2476.8947.70186.19

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti7001400210028003500SE +/- 17.64, N = 7SE +/- 18.12, N = 15SE +/- 5.67, N = 15SE +/- 29.82, N = 3SE +/- 28.21, N = 3SE +/- 16.93, N = 15SE +/- 8.69, N = 6SE +/- 21.60, N = 3SE +/- 1.84, N = 3SE +/- 3.68, N = 4SE +/- 14.70, N = 3SE +/- 32.29, N = 3SE +/- 5.83, N = 15SE +/- 2.79, N = 3SE +/- 4.05, N = 15SE +/- 12.32, N = 15SE +/- 1.93, N = 15SE +/- 8.77, N = 31604.21998.17466.842105.263126.48999.75753.691879.99704.69262.411146.751886.30420.04280.99335.86642.12207.843032.101. (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 FlopsRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4K8K12K16K20KSE +/- 51.02, N = 3SE +/- 27.40, N = 3SE +/- 11.70, N = 3SE +/- 61.30, N = 3SE +/- 91.95, N = 3SE +/- 45.97, N = 3SE +/- 0.84, N = 3SE +/- 29.32, N = 3SE +/- 19.13, N = 3SE +/- 6.34, N = 3SE +/- 3.00, N = 3SE +/- 3.93, N = 3SE +/- 0.04, N = 3SE +/- 3.92, N = 3SE +/- 13.79, N = 3SE +/- 1.89, N = 3SE +/- 0.74, N = 3SE +/- 87.95, N = 39869.348378.876213.9712015.5017334.008528.707715.4210952.777320.734788.929407.7513230.775893.415052.735329.847115.394362.3116656.201. (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 SPRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti30060090012001500SE +/- 0.27, N = 3SE +/- 3.09, N = 3SE +/- 3.01, N = 3SE +/- 0.78, N = 3SE +/- 1.38, N = 3SE +/- 2.90, N = 3SE +/- 0.19, N = 3SE +/- 0.39, N = 3SE +/- 0.56, N = 3SE +/- 3.50, N = 7SE +/- 3.58, N = 3SE +/- 1.06, N = 3SE +/- 1.57, N = 3SE +/- 1.09, N = 3SE +/- 0.27, N = 3SE +/- 6.42, N = 4SE +/- 0.48, N = 3SE +/- 2.79, N = 31088.17971.24725.981203.571578.29976.78525.891100.00818.44326.68614.69982.23665.66458.35452.89478.54411.291485.731. (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 HashRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti816243240SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 321.7818.229.2226.5636.3918.7711.7024.0716.047.2614.2519.7212.987.4911.8710.616.5034.911. (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 MyocyteRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1224364860SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 330.7630.4252.1330.6331.6931.6438.7031.6531.1134.6934.8735.9130.6747.3830.9735.1045.4831.051. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenCL Particle Filter

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti3691215SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, 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 = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.827.879.955.744.247.757.886.228.9011.936.494.9610.8211.6911.878.2612.994.391. (CXX) g++ options: -O2 -lOpenCL

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2RTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350SE +/- 0.60, N = 3SE +/- 0.34, N = 3SE +/- 0.04, N = 3SE +/- 0.78, N = 3SE +/- 0.71, N = 3SE +/- 0.64, N = 3SE +/- 0.05, N = 3SE +/- 0.99, N = 3SE +/- 0.61, N = 3SE +/- 0.17, N = 3SE +/- 0.53, N = 3SE +/- 0.43, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.43, N = 3SE +/- 0.03, N = 3SE +/- 0.90, N = 3229.12205.20116.02256.83301.93204.71138.21242.75183.41102.61155.22198.25139.81102.86126.64140.2991.53301.89

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.08180.16360.24540.32720.409SE +/- 0.00245, N = 3SE +/- 0.00245, N = 3SE +/- 0.00105, N = 3SE +/- 0.00233, N = 3SE +/- 0.00297, N = 3SE +/- 0.00250, N = 3SE +/- 0.00075, N = 6SE +/- 0.00199, N = 3SE +/- 0.00147, N = 4SE +/- 0.00303, N = 3SE +/- 0.00088, N = 5SE +/- 0.00044, N = 3SE +/- 0.00192, N = 3SE +/- 0.00159, N = 3SE +/- 0.00287, N = 3SE +/- 0.00195, N = 3SE +/- 0.00026, N = 4SE +/- 0.00238, N = 30.195010.193360.286750.193850.188670.194400.222690.193070.202500.317890.209780.196690.231850.331100.250310.239570.363680.18909

OctaneBench

Total Score

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350220.76205.23142.20233.56322.76206.88141.35222.88164.5291.44147.98212.04132.28109.70118.49132.8695.60309.04

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.40, N = 3291.87287.80216.83301.23322.20284.43182.70289.20237.77137.20205.93283.20208.50143.40145.37182.00124.77324.401. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti120240360480600SE +/- 0.22, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.25, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 1.50, N = 8SE +/- 0.38, N = 3395.67395.67265.33436.27566.70395.70205.27395.70296.20153.50228.80337.53250.23164.50162.90205.27142.10544.331. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti110220330440550SE +/- 0.43, N = 3SE +/- 0.82, N = 3SE +/- 0.06, N = 3SE +/- 0.54, N = 3SE +/- 1.39, N = 3SE +/- 1.00, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.40, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.35, N = 3319.57333.20241.50345.77495.37322.67190.03331.50241.20144.57214.67340.27208.67151.50148.87190.90132.60441.231. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti110220330440550SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.08, N = 3SE +/- 0.66, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.71, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.44, N = 3369.11367.92263.22405.00528.89368.96197.26368.47275.86146.62222.09328.90234.67164.25157.60196.47143.48506.331. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti3K6K9K12K15KSE +/- 76.18, N = 15SE +/- 84.87, N = 15SE +/- 44.36, N = 15SE +/- 124.22, N = 3SE +/- 228.75, N = 15SE +/- 81.15, N = 15SE +/- 7.63, N = 3SE +/- 7.41, N = 3SE +/- 77.72, N = 3SE +/- 1.88, N = 3SE +/- 3.14, N = 3SE +/- 5.50, N = 3SE +/- 61.47, N = 15SE +/- 46.38, N = 8SE +/- 7.83, N = 3SE +/- 3.03, N = 3SE +/- 40.24, N = 15SE +/- 207.30, N = 38502.717089.505538.7510335.5014203.877198.646770.978883.905329.074199.718314.2911720.574793.664476.694610.016269.493888.1613532.741. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti120240360480600SE +/- 0.77, N = 3SE +/- 0.71, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 1.16, N = 3SE +/- 0.81, N = 3SE +/- 0.02, N = 3SE +/- 0.92, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.76, N = 3SE +/- 1.14, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.71, N = 3SE +/- 0.03, N = 3SE +/- 1.46, N = 3310.27263.11196.60378.98547.97268.32242.63345.81231.44149.58297.94414.96185.12159.68168.44223.91137.47521.901. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti3K6K9K12K15KSE +/- 81.60, N = 15SE +/- 76.65, N = 15SE +/- 23.09, N = 3SE +/- 83.79, N = 15SE +/- 156.59, N = 15SE +/- 84.78, N = 15SE +/- 0.72, N = 3SE +/- 4.11, N = 3SE +/- 63.11, N = 3SE +/- 13.36, N = 15SE +/- 26.46, N = 3SE +/- 29.87, N = 15SE +/- 64.34, N = 15SE +/- 0.38, N = 3SE +/- 32.97, N = 3SE +/- 24.36, N = 3SE +/- 19.67, N = 3SE +/- 57.62, N = 38570.607023.071610.2810404.7113841.257161.482076.939660.925269.011267.892430.743301.894775.451312.064657.791685.051140.2913609.331. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ViennaCL

OpenCL LU Factorization

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1632486480SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.60, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.72, N = 370.4569.1762.0171.4772.9669.4164.6870.9667.9258.6766.6769.0966.0659.2165.1063.8656.9572.711. (CXX) g++ options: -rdynamic -lOpenCL

JuliaGPU

OpenCL Device: GPU

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPURTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60M120M180M240M300MSE +/- 389272.10, N = 3SE +/- 369711.60, N = 3SE +/- 78142.08, N = 3SE +/- 1165562.77, N = 3SE +/- 489061.14, N = 3SE +/- 633693.84, N = 3SE +/- 97519.45, N = 3SE +/- 169596.23, N = 3SE +/- 121354.48, N = 3SE +/- 137674.47, N = 3SE +/- 341457.11, N = 3SE +/- 540298.84, N = 3SE +/- 495295.96, N = 3SE +/- 52667.10, N = 3SE +/- 197521.26, N = 3SE +/- 76295.47, N = 3SE +/- 383961.59, N = 3SE +/- 78810.54, N = 3275868151.17264172441.47195653728.47286818331.27303198573.97267086274.53220447755.87280162469.67251925176.90182188318.67237914974.40262248899.33239300837.60181882709.77230919642.13216942144.93169258044.90299834728.801. (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 HDRRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti10K20K30K40K50KSE +/- 98.93, N = 3SE +/- 4.93, N = 3SE +/- 39.15, N = 3SE +/- 0.88, N = 3SE +/- 20.92, N = 3SE +/- 7.54, N = 3SE +/- 36.50, N = 3SE +/- 7.51, N = 3SE +/- 0.67, N = 3SE +/- 4.00, N = 3SE +/- 17.98, N = 3SE +/- 7.67, N = 3SE +/- 19.86, N = 3SE +/- 26.16, N = 3SE +/- 35.04, N = 3SE +/- 1.00, N = 3SE +/- 6.23, N = 3SE +/- 166.33, N = 3297343009316871301794654630097169252916421683122451378821689161471324615162172901173242974

LuxMark

OpenCL Device: GPU - Scene: Microphone

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti7K14K21K28K35KSE +/- 16.84, N = 3SE +/- 43.34, N = 3SE +/- 49.74, N = 3SE +/- 108.17, N = 3SE +/- 168.12, N = 3SE +/- 26.44, N = 3SE +/- 15.50, N = 3SE +/- 11.68, N = 3SE +/- 3.84, N = 3SE +/- 1.53, N = 3SE +/- 1.20, N = 3SE +/- 19.33, N = 3SE +/- 2.33, N = 3SE +/- 18.25, N = 3SE +/- 1.33, N = 3SE +/- 4.91, N = 3SE +/- 2.00, N = 3SE +/- 21.50, N = 3204991850911096201643075618441102591991613754708687161372111003891497949983798528631

LuxMark

OpenCL Device: GPU - Scene: Hotel

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti2K4K6K8K10KSE +/- 0.67, N = 3SE +/- 8.00, N = 3SE +/- 0.58, N = 3SE +/- 1.73, N = 3SE +/- 1.86, N = 3SE +/- 3.51, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 3.76, N = 3SE +/- 0.67, N = 3SE +/- 7.09, N = 3SE +/- 2.73, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 4.37, N = 3656561483885683998366150417065904833264838075649380530483733387027309215

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2RTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.32630.65260.97891.30521.63151.421.270.621.451.331.291.101.381.210.831.001.021.100.651.110.960.621.38

FAHBench

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 46.6 / Avg: 161.4 / Max: 230Min: 48.5 / Avg: 161.35 / Max: 226.3Min: 56.3 / Avg: 186.17 / Max: 244.4Min: 64 / Avg: 177.55 / Max: 252.2Min: 52.5 / Avg: 226.18 / Max: 324.2Min: 46 / Avg: 158.7 / Max: 226.7Min: 49.1 / Avg: 125.16 / Max: 155Min: 47.5 / Avg: 176.01 / Max: 263Min: 45.7 / Avg: 151.46 / Max: 214.2Min: 66.3 / Avg: 124.04 / Max: 159.6Min: 44.9 / Avg: 154.62 / Max: 208.2Min: 77.6 / Avg: 195.24 / Max: 264.4Min: 47.6 / Avg: 127.19 / Max: 170.3Min: 49.8 / Avg: 159.19 / Max: 211.9Min: 46.5 / Avg: 114.3 / Max: 152.8Min: 43.8 / Avg: 145.58 / Max: 193.2Min: 48.8 / Avg: 147.69 / Max: 193Min: 49.7 / Avg: 218.05 / Max: 323.3

NAMD CUDA

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350Min: 47.2 / Avg: 198.42 / Max: 323.3Min: 48.4 / Avg: 233.81 / Max: 312Min: 55.9 / Avg: 272.91 / Max: 370.3Min: 48.8 / Avg: 219.44 / Max: 330.5Min: 54.3 / Avg: 214.96 / Max: 367.7Min: 50 / Avg: 202.69 / Max: 321.3Min: 50.3 / Avg: 198.82 / Max: 259.9Min: 52.9 / Avg: 238.49 / Max: 342.9Min: 46.1 / Avg: 197.89 / Max: 303.8Min: 45.2 / Avg: 198.8 / Max: 269.5Min: 48.6 / Avg: 253.18 / Max: 326.9Min: 55.3 / Avg: 266.23 / Max: 380Min: 47.7 / Avg: 177.22 / Max: 273.9Min: 52.6 / Avg: 238.95 / Max: 329.4Min: 44.9 / Avg: 177.54 / Max: 262.4Min: 48.2 / Avg: 206.59 / Max: 286.9Min: 51.3 / Avg: 258.19 / Max: 306.3Min: 53.9 / Avg: 251.92 / Max: 374

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti306090120150136.85131.3370.64130.92137.34130.30111.54119.09112.4383.3476.5588.26102.7567.87108.7095.0365.07131.66

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 47.5 / Avg: 217.27 / Max: 227.7Min: 47.2 / Avg: 229.14 / Max: 241Min: 130.4 / Avg: 238.82 / Max: 247.5Min: 49.4 / Avg: 230.52 / Max: 238Min: 53.7 / Avg: 338.9 / Max: 360.6Min: 50.1 / Avg: 230.98 / Max: 243.5Min: 52.3 / Avg: 151.74 / Max: 155.9Min: 52.5 / Avg: 244.9 / Max: 255.3Min: 47.4 / Avg: 192.86 / Max: 200.8Min: 76 / Avg: 146.92 / Max: 152Min: 75.8 / Avg: 180.11 / Max: 185.5Min: 107.7 / Avg: 245.73 / Max: 254Min: 48.2 / Avg: 157.16 / Max: 163.8Min: 87.7 / Avg: 195.16 / Max: 205Min: 45.9 / Avg: 139.49 / Max: 144Min: 48.6 / Avg: 181.94 / Max: 188.2Min: 52.2 / Avg: 180.29 / Max: 185.6Min: 53.9 / Avg: 326.39 / Max: 340.7

LuxMark

OpenCL Device: GPU - Scene: Microphone

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti2040608010092.7883.0947.2589.5891.0083.9270.3282.6072.1151.1450.2957.6870.3346.0871.2258.6344.9189.77

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 47.6 / Avg: 220.93 / Max: 232.4Min: 49.8 / Avg: 222.76 / Max: 232.3Min: 112.5 / Avg: 234.81 / Max: 244.3Min: 47.8 / Avg: 225.09 / Max: 235.4Min: 60.2 / Avg: 337.98 / Max: 356.9Min: 51.5 / Avg: 219.74 / Max: 234.1Min: 50.1 / Avg: 145.89 / Max: 150.4Min: 53.8 / Avg: 241.11 / Max: 251.4Min: 48.6 / Avg: 190.73 / Max: 198.4Min: 45.6 / Avg: 138.57 / Max: 144.8Min: 49.1 / Avg: 173.32 / Max: 180.3Min: 52.7 / Avg: 237.89 / Max: 245.4Min: 48 / Avg: 156.46 / Max: 161.4Min: 51 / Avg: 193.46 / Max: 203.7Min: 46 / Avg: 137.52 / Max: 142.7Min: 49 / Avg: 170.27 / Max: 177.6Min: 51.9 / Avg: 177.8 / Max: 184.4Min: 55.9 / Avg: 318.95 / Max: 337.2

LuxMark

OpenCL Device: GPU - Scene: Hotel

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti61218243027.1826.3815.2127.4127.4625.5225.6424.5022.9217.0018.5120.0222.5014.1624.2219.5913.7226.99

LuxMark

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350Min: 47.6 / Avg: 241.53 / Max: 254.1Min: 47.9 / Avg: 233.07 / Max: 242.2Min: 57.2 / Avg: 255.39 / Max: 271.7Min: 50.8 / Avg: 249.5 / Max: 264.2Min: 57.7 / Avg: 358.16 / Max: 371Min: 51.8 / Avg: 241 / Max: 251.5Min: 51.1 / Avg: 162.66 / Max: 167.9Min: 52.6 / Avg: 269.03 / Max: 281.5Min: 50.4 / Avg: 210.86 / Max: 220.4Min: 45.7 / Avg: 155.74 / Max: 161.6Min: 47.9 / Avg: 205.71 / Max: 214.4Min: 55.9 / Avg: 282.16 / Max: 295.6Min: 47.2 / Avg: 169.1 / Max: 176.4Min: 51.4 / Avg: 215.19 / Max: 226.6Min: 46.7 / Avg: 154.16 / Max: 157.9Min: 48.8 / Avg: 197.56 / Max: 206Min: 50.9 / Avg: 198.98 / Max: 206.3Min: 54.2 / Avg: 341.41 / Max: 361

Rodinia

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti306090120150Min: 46.4 / Avg: 116.19 / Max: 128.7Min: 46.3 / Avg: 122.27 / Max: 129.5Min: 110.1 / Avg: 153.24 / Max: 157.4Min: 46.6 / Avg: 123.16 / Max: 135.3Min: 51.9 / Avg: 158.82 / Max: 169.5Min: 48.1 / Avg: 122.39 / Max: 128.3Min: 49.1 / Avg: 105.1 / Max: 108.7Min: 49.5 / Avg: 131.08 / Max: 142Min: 46.6 / Avg: 112.18 / Max: 123.5Min: 62.8 / Avg: 97.17 / Max: 100.8Min: 47.4 / Avg: 113.6 / Max: 118.7Min: 53.3 / Avg: 137.65 / Max: 146.3Min: 45.9 / Avg: 98.53 / Max: 104.6Min: 88.8 / Avg: 119.77 / Max: 124.7Min: 45.5 / Avg: 90.35 / Max: 95.7Min: 70.9 / Avg: 107.97 / Max: 112.9Min: 85.4 / Avg: 117.57 / Max: 120.9Min: 51.1 / Avg: 152.87 / Max: 162.6

Rodinia

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorRTX 2070 SUPERGTX 980 TiGTX 1070 TiRTX 2060GTX 1060GTX 1660 TiGTX 980GTX 1660GTX 9704080120160200Min: 47 / Avg: 103.36 / Max: 166Min: 54.7 / Avg: 167.04 / Max: 233.5Min: 50.3 / Avg: 101.74 / Max: 149.4Min: 47.6 / Avg: 121.91 / Max: 156.6Min: 44.7 / Avg: 111.27 / Max: 154.1Min: 46 / Avg: 107.04 / Max: 129.7Min: 52.6 / Avg: 156.47 / Max: 203.2Min: 45.1 / Avg: 88.85 / Max: 116.6Min: 50.5 / Avg: 141.83 / Max: 190

ViennaCL

OpenCL LU Factorization

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.3150.630.9451.261.5750.901.400.601.181.351.350.710.710.731.000.700.591.100.791.080.800.661.31

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.72681.45362.18042.90723.6342.822.431.452.832.172.441.532.282.661.251.651.621.961.041.581.350.963.23

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 FlopsRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti2040608010065.7656.3832.0573.2377.7257.1361.4363.9350.3640.0659.8766.2649.6331.4050.1750.3029.2976.69

SHOC Scalable HeterOgeneous Computing

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350Min: 47.1 / Avg: 150.09 / Max: 265.5Min: 46.8 / Avg: 148.63 / Max: 238Min: 126.9 / Avg: 193.91 / Max: 298.6Min: 47 / Avg: 164.08 / Max: 318.6Min: 52 / Avg: 223.03 / Max: 367Min: 47.9 / Avg: 149.29 / Max: 251.7Min: 50.5 / Avg: 125.61 / Max: 179.8Min: 48.7 / Avg: 171.33 / Max: 292.2Min: 47 / Avg: 145.37 / Max: 229.5Min: 74.8 / Avg: 119.53 / Max: 184.8Min: 94 / Avg: 157.13 / Max: 259.6Min: 49.6 / Avg: 199.67 / Max: 326.6Min: 46.4 / Avg: 118.75 / Max: 170.7Min: 97.6 / Avg: 160.93 / Max: 243.5Min: 44.5 / Avg: 106.24 / Max: 161Min: 78 / Avg: 141.46 / Max: 206.4Min: 80.6 / Avg: 148.92 / Max: 222.7Min: 51.3 / Avg: 217.17 / Max: 360

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 SPRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4812162015.5817.596.928.676.3615.4613.234.007.877.9712.255.455.706.235.1211.54

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 HashRTX 2070 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070RTX 2080RTX 2060GTX 1060GTX 1080GTX 1660 TiGTX 980GTX 1660GTX 9700.08330.16660.24990.33320.41650.300.040.320.370.150.210.120.110.150.260.080.260.05

JuliaGPU

OpenCL Device: GPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPURTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti600K1200K1800K2400K3000K2632329.692670026.701099178.252379445.261923116.672271141.792260229.902691799.292469451.171658141.691906369.991682592.712880366.361325997.882790569.691809790.271275493.931910018.66

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti36912155.414.882.024.866.183.331.925.091.842.262.732.241.653.162.631.529.15

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1080GTX 1660 TiGTX 980GTX 1070GTX 970RTX 2080 Ti50100150200250121.62111.7442.0084.49103.6174.3284.4679.25109.2089.1171.3536.4970.6339.36222.09

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiTITAN RTXRTX 2070GTX 1660 TiGTX 980GTX 97060120180240300Min: 47.5 / Avg: 69.91 / Max: 138.9Min: 46.6 / Avg: 63.45 / Max: 103Min: 54.9 / Avg: 131.87 / Max: 194.2Min: 50.6 / Avg: 137.09 / Max: 308.7Min: 48.2 / Avg: 96.86 / Max: 180.2Min: 45.5 / Avg: 67.18 / Max: 127.1Min: 52.5 / Avg: 122.69 / Max: 181.1Min: 51.4 / Avg: 98.78 / Max: 148.8

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.60751.2151.82252.433.03752.251.851.092.502.701.952.142.251.841.462.202.491.721.091.731.900.982.65

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti4080120160200Min: 47 / Avg: 137.66 / Max: 150.3Min: 47.1 / Avg: 142.14 / Max: 150.8Min: 128.4 / Avg: 179.97 / Max: 191.4Min: 47.6 / Avg: 151.43 / Max: 166.9Min: 51.5 / Avg: 203.24 / Max: 225.1Min: 46.9 / Avg: 137.5 / Max: 151.9Min: 51 / Avg: 113.26 / Max: 124.1Min: 49.8 / Avg: 153.89 / Max: 172.5Min: 47.9 / Avg: 126.06 / Max: 143Min: 44.7 / Avg: 102.22 / Max: 117.3Min: 46.2 / Avg: 135.52 / Max: 152.6Min: 51.6 / Avg: 166.5 / Max: 193Min: 46.4 / Avg: 107.92 / Max: 119.4Min: 51.6 / Avg: 146.12 / Max: 159.1Min: 43.9 / Avg: 97.25 / Max: 106.6Min: 46 / Avg: 117.77 / Max: 137.1Min: 93.6 / Avg: 140.29 / Max: 146.2Min: 50.3 / Avg: 197 / Max: 217.1

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti30609012015060.3980.749.0072.1666.5852.7825.59123.0763.2510.8326.8216.5261.388.4479.9423.899.1954.76

clpeak

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERTITAN RTXRTX 2070GTX 1060GTX 1080 TiGTX 1660 Ti70140210280350Min: 47.5 / Avg: 141.91 / Max: 279.4Min: 47.4 / Avg: 86.98 / Max: 242.5Min: 47.9 / Avg: 144.19 / Max: 288.8Min: 52.5 / Avg: 207.88 / Max: 366.7Min: 47.8 / Avg: 135.68 / Max: 254.5Min: 66.2 / Avg: 117.06 / Max: 191Min: 52.4 / Avg: 199.89 / Max: 328.7Min: 46.4 / Avg: 77.81 / Max: 158.1

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.86631.73262.59893.46524.33153.473.091.763.853.373.281.863.262.761.341.902.102.671.191.691.681.053.38

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.83481.66962.50443.33924.1742.602.611.482.853.133.711.762.742.241.441.642.022.331.031.611.541.073.46

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti61218243024.7520.687.6725.0622.1921.3514.1626.2118.209.5714.0215.2116.067.1714.7912.356.9826.71

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.4590.9181.3771.8362.2951.721.490.601.992.041.571.121.751.340.781.101.131.320.611.220.950.562.04

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti50100150200250Min: 46.6 / Avg: 139.53 / Max: 205.1Min: 53 / Avg: 147.84 / Max: 203.6Min: 128.3 / Avg: 193.81 / Max: 239.9Min: 48.4 / Avg: 151.02 / Max: 226.9Min: 51.1 / Avg: 182.86 / Max: 282.6Min: 47.6 / Avg: 141.04 / Max: 207.9Min: 51 / Avg: 131.33 / Max: 154.1Min: 49 / Avg: 153.24 / Max: 230.1Min: 48.8 / Avg: 144.1 / Max: 197.4Min: 55.5 / Avg: 124.66 / Max: 155.7Min: 84.5 / Avg: 158.48 / Max: 204.6Min: 125.6 / Avg: 201.87 / Max: 257Min: 46.7 / Avg: 122.59 / Max: 164Min: 99.3 / Avg: 168.06 / Max: 211.7Min: 44.4 / Avg: 112.99 / Max: 143Min: 70.5 / Avg: 148.83 / Max: 185.2Min: 72.9 / Avg: 158.81 / Max: 190.7Min: 50.7 / Avg: 178.03 / Max: 280

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.5761.1521.7282.3042.882.101.740.792.222.561.691.572.191.551.011.511.761.470.781.421.240.712.53

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti50100150200250Min: 47.9 / Avg: 135.09 / Max: 211.7Min: 54.4 / Avg: 144.26 / Max: 207.2Min: 127.5 / Avg: 205.03 / Max: 260.5Min: 48.5 / Avg: 147.96 / Max: 225.2Min: 55.6 / Avg: 169.21 / Max: 293Min: 49 / Avg: 148.17 / Max: 210.6Min: 51.5 / Avg: 131.42 / Max: 162.8Min: 50.7 / Avg: 139.72 / Max: 234.8Min: 47.9 / Avg: 142.09 / Max: 199.4Min: 68.7 / Avg: 129.36 / Max: 164Min: 94.6 / Avg: 159.56 / Max: 227.4Min: 55.7 / Avg: 189.84 / Max: 284.9Min: 47.3 / Avg: 117.8 / Max: 162Min: 52.8 / Avg: 183.08 / Max: 228.8Min: 44.8 / Avg: 109.89 / Max: 143.5Min: 77.9 / Avg: 157.58 / Max: 202.6Min: 81.7 / Avg: 163.48 / Max: 201.2Min: 51.5 / Avg: 167.74 / Max: 291.7

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.08330.16660.24990.33320.41650.300.250.130.320.370.260.230.290.230.150.200.240.220.120.210.180.110.37

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 46.5 / Avg: 184.51 / Max: 249.7Min: 54.2 / Avg: 192.58 / Max: 235.4Min: 124.3 / Avg: 237.03 / Max: 284.6Min: 46.7 / Avg: 204.84 / Max: 277Min: 51.3 / Avg: 235.38 / Max: 341.7Min: 48 / Avg: 190.9 / Max: 247Min: 51.4 / Avg: 151.49 / Max: 175.5Min: 49.7 / Avg: 201.32 / Max: 272.7Min: 48.1 / Avg: 176.3 / Max: 224.1Min: 75.4 / Avg: 157.49 / Max: 178.6Min: 48.2 / Avg: 203.49 / Max: 246Min: 107 / Avg: 238.78 / Max: 315.7Min: 46.5 / Avg: 154.44 / Max: 184.5Min: 99.4 / Avg: 199.9 / Max: 241.3Min: 44.8 / Avg: 135.27 / Max: 159.9Min: 83.7 / Avg: 182.29 / Max: 211.2Min: 94.8 / Avg: 192.64 / Max: 216.8Min: 50.4 / Avg: 231.53 / Max: 336

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.34430.68861.03291.37721.72151.531.260.581.411.521.271.011.291.150.720.950.940.990.590.960.940.541.47

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti50100150200250Min: 49.1 / Avg: 124.58 / Max: 203.3Min: 55.8 / Avg: 142.16 / Max: 204.9Min: 57 / Avg: 191.08 / Max: 247.4Min: 48.8 / Avg: 141.86 / Max: 214.3Min: 52.7 / Avg: 173.29 / Max: 277.5Min: 51.5 / Avg: 138.71 / Max: 203.8Min: 53.5 / Avg: 128.35 / Max: 157.6Min: 51.5 / Avg: 146.49 / Max: 216.5Min: 49 / Avg: 134.34 / Max: 190.3Min: 45.7 / Avg: 125.77 / Max: 157.6Min: 49.1 / Avg: 151.63 / Max: 200.9Min: 109.8 / Avg: 203.83 / Max: 255.3Min: 48.2 / Avg: 115.16 / Max: 152Min: 53.5 / Avg: 157.67 / Max: 213.1Min: 45.8 / Avg: 106.92 / Max: 138.1Min: 48.3 / Avg: 135.38 / Max: 188.6Min: 52.1 / Avg: 148.78 / Max: 190.2Min: 52.4 / Avg: 173.16 / Max: 273

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.2340.4680.7020.9361.170.660.550.290.800.940.610.570.770.550.370.560.620.480.280.480.490.271.04

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 46.7 / Avg: 187.65 / Max: 267.6Min: 54 / Avg: 187.95 / Max: 233.7Min: 55.1 / Avg: 244.29 / Max: 316.2Min: 49.4 / Avg: 181.31 / Max: 274.6Min: 53.8 / Avg: 216.91 / Max: 353.5Min: 48.1 / Avg: 174.02 / Max: 249.3Min: 95.2 / Avg: 160.1 / Max: 191.4Min: 54.1 / Avg: 173.35 / Max: 273.1Min: 48.1 / Avg: 163.79 / Max: 226.4Min: 45.8 / Avg: 152.31 / Max: 187.6Min: 88.2 / Avg: 189.28 / Max: 251.8Min: 118 / Avg: 235.58 / Max: 316.5Min: 47.3 / Avg: 151.58 / Max: 191.5Min: 69.1 / Avg: 196.2 / Max: 247.2Min: 45.6 / Avg: 137.8 / Max: 169.2Min: 47.7 / Avg: 162.2 / Max: 207.3Min: 51.5 / Avg: 184.27 / Max: 233.4Min: 52.7 / Avg: 188.04 / Max: 345.4

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.16430.32860.49290.65720.82150.490.390.230.590.710.440.460.580.400.280.430.490.380.220.380.370.200.73

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 47.2 / Avg: 198.27 / Max: 271.7Min: 57.1 / Avg: 209.61 / Max: 237.5Min: 71.2 / Avg: 244.52 / Max: 316.6Min: 49.1 / Avg: 194.92 / Max: 278.5Min: 52.8 / Avg: 227.24 / Max: 356.3Min: 48.7 / Avg: 189.06 / Max: 250.5Min: 51.9 / Avg: 158.16 / Max: 196.1Min: 52.6 / Avg: 181.66 / Max: 277.7Min: 48.9 / Avg: 179.62 / Max: 228Min: 45.9 / Avg: 157.15 / Max: 187.3Min: 91.2 / Avg: 194.23 / Max: 252.2Min: 120.6 / Avg: 236.48 / Max: 318.6Min: 48.2 / Avg: 154.23 / Max: 191.6Min: 53.3 / Avg: 201.25 / Max: 246.9Min: 45.5 / Avg: 136.67 / Max: 171.6Min: 70.7 / Avg: 170.23 / Max: 208.9Min: 89.6 / Avg: 193.7 / Max: 220.3Min: 52.9 / Avg: 210.77 / Max: 350.6

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti61218243019.7012.986.6416.6023.2314.8411.3014.1611.677.599.3510.2211.205.539.569.655.2022.63

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.43880.87761.31641.75522.1941.341.230.611.521.951.181.081.361.110.700.941.341.020.560.950.990.521.66

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 49.5 / Avg: 161.34 / Max: 234.9Min: 54.4 / Avg: 162.79 / Max: 223.8Min: 126.5 / Avg: 220.09 / Max: 281.6Min: 49.6 / Avg: 170.73 / Max: 255.1Min: 56.2 / Avg: 178.56 / Max: 327.6Min: 49.8 / Avg: 167.7 / Max: 230.4Min: 51.1 / Avg: 141.76 / Max: 172.5Min: 49.4 / Avg: 176.08 / Max: 254.9Min: 47.6 / Avg: 150.66 / Max: 214.3Min: 46.9 / Avg: 150.12 / Max: 180Min: 84.7 / Avg: 196.13 / Max: 242.5Min: 128 / Avg: 191.53 / Max: 304Min: 46.3 / Avg: 136.65 / Max: 177.5Min: 56.7 / Avg: 188.31 / Max: 242.7Min: 46.3 / Avg: 123.06 / Max: 152.7Min: 84.3 / Avg: 149.15 / Max: 206.1Min: 81.4 / Avg: 182.54 / Max: 219.9Min: 51.8 / Avg: 206.66 / Max: 321.6

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1.13182.26363.39544.52725.6592.892.591.063.185.033.092.103.212.161.482.252.661.841.151.901.801.053.70

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 97060120180240300Min: 46.8 / Avg: 145.98 / Max: 249.6Min: 55.4 / Avg: 144.71 / Max: 231.4Min: 129.1 / Avg: 233.7 / Max: 292Min: 49.4 / Avg: 162.94 / Max: 270.3Min: 52.7 / Avg: 128.84 / Max: 167.9Min: 47.5 / Avg: 122.1 / Max: 239.9Min: 52.2 / Avg: 140.17 / Max: 177.3Min: 52 / Avg: 137.63 / Max: 231.8Min: 48.6 / Avg: 147.64 / Max: 221.8Min: 45.9 / Avg: 132.6 / Max: 182.3Min: 48.4 / Avg: 149.71 / Max: 246.6Min: 56.4 / Avg: 186.43 / Max: 312.7Min: 47.9 / Avg: 141.14 / Max: 182.8Min: 53 / Avg: 176.69 / Max: 244.6Min: 46.3 / Avg: 119.8 / Max: 159.7Min: 89.6 / Avg: 153.55 / Max: 208.4Min: 83.3 / Avg: 172.91 / Max: 233.2

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1.14532.29063.43594.58125.72653.673.231.414.525.093.682.593.953.101.832.813.003.141.432.982.371.284.56

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERGTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti50100150200250Min: 49.2 / Avg: 136.18 / Max: 192.6Min: 54.9 / Avg: 136.39 / Max: 187.2Min: 57.1 / Avg: 192.1 / Max: 249.1Min: 51.8 / Avg: 130.6 / Max: 207.8Min: 52.4 / Avg: 128.8 / Max: 152Min: 56.5 / Avg: 138.96 / Max: 215.1Min: 49.2 / Avg: 125.65 / Max: 186.5Min: 46.3 / Avg: 122.88 / Max: 159.6Min: 48.5 / Avg: 142.23 / Max: 208.8Min: 46.6 / Avg: 100.43 / Max: 150.5Min: 100 / Avg: 162.49 / Max: 218.7Min: 46.3 / Avg: 96.5 / Max: 135.8Min: 50.4 / Avg: 132.86 / Max: 187.3Min: 94.4 / Avg: 160.18 / Max: 203.4Min: 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: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.23180.46360.69540.92721.1590.810.710.320.821.030.680.670.820.620.420.610.750.560.320.580.560.310.98

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 47.2 / Avg: 191.71 / Max: 276.3Min: 53.3 / Avg: 181.51 / Max: 239.5Min: 56.5 / Avg: 270.73 / Max: 328.7Min: 47.7 / Avg: 218.91 / Max: 299.1Min: 52.4 / Avg: 239.94 / Max: 363Min: 48.4 / Avg: 193.79 / Max: 250.6Min: 52.3 / Avg: 169.99 / Max: 205.7Min: 48.9 / Avg: 201.23 / Max: 285.7Min: 48.4 / Avg: 179.22 / Max: 228.5Min: 69.4 / Avg: 166.46 / Max: 190Min: 46.2 / Avg: 209.24 / Max: 254.3Min: 51.8 / Avg: 234.29 / Max: 318.4Min: 46.4 / Avg: 163.81 / Max: 195.7Min: 90.4 / Avg: 213.83 / Max: 251.4Min: 45.6 / Avg: 146.27 / Max: 182Min: 50 / Avg: 172.78 / Max: 208.8Min: 94.5 / Avg: 195.88 / Max: 219.3Min: 52.7 / Avg: 239.16 / Max: 354.3

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.16880.33760.50640.67520.8440.610.520.250.640.750.530.500.560.460.320.480.560.440.260.420.430.240.74

PlaidML

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 47.5 / Avg: 199.98 / Max: 276.8Min: 55 / Avg: 193.52 / Max: 240.6Min: 119.7 / Avg: 273.57 / Max: 330.8Min: 49.5 / Avg: 224.18 / Max: 302.6Min: 53.2 / Avg: 260.22 / Max: 361.7Min: 49.7 / Avg: 197.21 / Max: 252.5Min: 52.4 / Avg: 180.41 / Max: 207.7Min: 49.9 / Avg: 230.45 / Max: 288.2Min: 50.1 / Avg: 192.21 / Max: 230.7Min: 45.1 / Avg: 170.04 / Max: 188.8Min: 89.9 / Avg: 209.47 / Max: 253.5Min: 55.7 / Avg: 245.95 / Max: 321.1Min: 48.3 / Avg: 167.7 / Max: 196.3Min: 55.7 / Avg: 208.34 / Max: 246.7Min: 46 / Avg: 160.67 / Max: 185.8Min: 84.2 / Avg: 180.68 / Max: 209.8Min: 75.4 / Avg: 201.26 / Max: 220.7Min: 52.9 / Avg: 251.39 / Max: 354

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti481216208.986.572.1612.3215.815.785.8610.734.791.907.108.753.131.832.844.211.2614.00

LeelaChessZero

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.22.0System Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 97070140210280350Min: 47.2 / Avg: 178.69 / Max: 276Min: 45.5 / Avg: 151.83 / Max: 241.9Min: 59.1 / Avg: 216.14 / Max: 319.4Min: 47.5 / Avg: 170.9 / Max: 315Min: 53.3 / Avg: 197.7 / Max: 371.4Min: 48.6 / Avg: 172.95 / Max: 253.7Min: 52 / Avg: 128.59 / Max: 197.7Min: 52.8 / Avg: 175.13 / Max: 286.6Min: 49.1 / Avg: 147.07 / Max: 231.4Min: 47.2 / Avg: 138.37 / Max: 187.2Min: 48.8 / Avg: 161.47 / Max: 252.9Min: 106.6 / Avg: 215.46 / Max: 320.5Min: 47.9 / Avg: 134.26 / Max: 195.9Min: 51.8 / Avg: 153.94 / Max: 247.5Min: 46.5 / Avg: 118.46 / Max: 180.4Min: 71.9 / Avg: 152.4 / Max: 214.7Min: 82.3 / Avg: 164.63 / Max: 252.9

OctaneBench

Total Score

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00cTotal ScoreRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti0.24080.48160.72240.96321.2041.040.970.641.040.990.961.070.930.870.760.880.890.910.610.930.840.600.96

OctaneBench

System Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00cSystem Power Consumption MonitorRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti60120180240300Min: 49 / Avg: 211.57 / Max: 245.6Min: 46.5 / Avg: 210.53 / Max: 232.6Min: 128.3 / Avg: 220.62 / Max: 240Min: 47.8 / Avg: 225.1 / Max: 261.8Min: 55.3 / Avg: 326.69 / Max: 357.7Min: 47.1 / Avg: 215.17 / Max: 242.1Min: 52.2 / Avg: 132.45 / Max: 182.7Min: 50 / Avg: 239.21 / Max: 278.1Min: 49.8 / Avg: 188.5 / Max: 218.2Min: 44.9 / Avg: 120.33 / Max: 135.2Min: 48.3 / Avg: 167.77 / Max: 228.3Min: 130.6 / Avg: 236.94 / Max: 265Min: 47.1 / Avg: 145.79 / Max: 161.1Min: 53.6 / Avg: 178.66 / Max: 203.2Min: 46.3 / Avg: 127.11 / Max: 144.7Min: 86 / Avg: 157.88 / Max: 173.8Min: 50.8 / Avg: 160.22 / Max: 180Min: 51.7 / Avg: 322.94 / Max: 355.5

GPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti1632486480Min: 27 / Avg: 43.67 / Max: 69Min: 29 / Avg: 54.33 / Max: 75Min: 36 / Avg: 71.62 / Max: 85Min: 34 / Avg: 53.35 / Max: 70Min: 37 / Avg: 62.01 / Max: 80Min: 28 / Avg: 58.64 / Max: 77Min: 39 / Avg: 48.41 / Max: 61Min: 30 / Avg: 66.02 / Max: 83Min: 32 / Avg: 57.94 / Max: 72Min: 30 / Avg: 58.15 / Max: 74Min: 30 / Avg: 63.66 / Max: 77Min: 34 / Avg: 67.92 / Max: 84Min: 30 / Avg: 50.73 / Max: 65Min: 29 / Avg: 68.53 / Max: 81Min: 28 / Avg: 56.71 / Max: 77Min: 28 / Avg: 61.94 / Max: 76Min: 28 / Avg: 52.34 / Max: 68Min: 31 / Avg: 60.94 / Max: 77

System Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 2070 SUPERRTX 2060 SUPERGTX 980 TiRTX 2080 SUPERTITAN RTXRTX 2070GTX 1070 TiRTX 2080RTX 2060GTX 1060GTX 1080GTX 1080 TiGTX 1660 TiGTX 980GTX 1660GTX 1070GTX 970RTX 2080 Ti70140210280350Min: 45.5 / Avg: 134.05 / Max: 323.3Min: 45.4 / Avg: 158.95 / Max: 312Min: 53.6 / Avg: 199.07 / Max: 370.3Min: 46 / Avg: 173.42 / Max: 330.5Min: 50.6 / Avg: 227.86 / Max: 371.4Min: 46 / Avg: 164.53 / Max: 321.3Min: 48.6 / Avg: 131.89 / Max: 259.9Min: 47.5 / Avg: 181.54 / Max: 342.9Min: 46.1 / Avg: 153.75 / Max: 303.8Min: 44.3 / Avg: 128.45 / Max: 269.5Min: 44.9 / Avg: 162.99 / Max: 328.3Min: 49.6 / Avg: 207.86 / Max: 380Min: 45.4 / Avg: 127.55 / Max: 273.9Min: 49.8 / Avg: 167.77 / Max: 329.4Min: 43.1 / Avg: 115.15 / Max: 262.4Min: 43.8 / Avg: 150.54 / Max: 286.9Min: 48.8 / Avg: 157.71 / Max: 306.3Min: 49.7 / Avg: 227.4 / Max: 374

Phoronix Test Suite v10.8.5