NVIDIA Linux OpenCL CUDA RTX SUPER Compute

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

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

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

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NVIDIA Linux OpenCL CUDA RTX SUPER ComputeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0802 BIOS)Intel Cannon Lake PCH16384MBSamsung SSD 970 EVO 250GBeVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (795/810MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 19.045.0.0-29-generic (x86_64)5.3.0-999-generic (x86_64) 20190914GNOME Shell 3.32.2X Server 1.20.4NVIDIA 435.214.6.0GCC 8.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionNVIDIA Linux OpenCL CUDA RTX SUPER Compute BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX 980 Ti: GPU Compute Cores: 2816- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- GTX 1660: GPU Compute Cores: 1408- GTX 1660 Ti: GPU Compute Cores: 1536- RTX 2060: GPU Compute Cores: 1920- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2070: GPU Compute Cores: 2304- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2080: GPU Compute Cores: 2944- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- GTX 970, GTX 980, GTX 980 Ti, GTX 1060, GTX 1070, GTX 1070 Ti, GTX 1080, GTX 1080 Ti, GTX 1660, GTX 1660 Ti, RTX 2060, RTX 2070, RTX 2070 SUPER, RTX 2080, RTX 2080 SUPER, RTX 2080 Ti, TITAN RTX: Python 2.7.16 + Python 3.7.3 - l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

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

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

NVIDIA Linux OpenCL CUDA RTX SUPER Computeshoc: OpenCL - MD5 Hashshoc: OpenCL - FFT SPluxmark: GPU - Microphonedarktable: Server Room - OpenCLplaidml: Yes - Inference - Inception V3 - OpenCLplaidml: Yes - Inference - VGG19 - OpenCLplaidml: No - Inference - VGG19 - OpenCLplaidml: Yes - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: Yes - Inference - NASNer Large - OpenCLcl-mem: Readclpeak: Double-Precision Doubleshoc: OpenCL - Max SP Flopsluxmark: GPU - Luxball HDRplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: Yes - Inference - ResNet 50 - OpenCLcl-mem: Writeluxmark: GPU - Hotelclpeak: Global Memory Bandwidthplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - Inception V3 - OpenCLclpeak: Single-Precision Floatplaidml: No - Inference - ResNet 50 - OpenCLoctanebench: Total Scoreplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - DenseNet 201 - OpenCLfahbench: rodinia: OpenCL Particle Filterdarktable: Boat - OpenCLcl-mem: Copylczero: OpenCLclpeak: Integer Compute INTnamd-cuda: ATPase Simulation - 327,506 Atomsjuliagpu: GPUrodinia: OpenCL Myocytedarktable: Masskrug - OpenCLviennacl: OpenCL LU FactorizationGTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX6.50411.2979853.1688.1639.3447.7049.7660.3221.42142.10137.474362.3111732204.32116.05132.602730143.48671.4994.723888.16181.8795.60841.4879.7191.5312.994.42124.77207.841140.290.36368169258044.9045.485.7856.957.49458.3589143.10101.9243.6353.4955.7068.9524.24164.50159.685052.7313246231.66142.14151.503048164.25759.43105.644476.69203.91109.70973.3992.92102.8611.693.92143.40280.991312.060.33110181882709.7747.385.7459.219.22725.98110961.51116.3156.1368.4771.2687.3930.64265.33196.606213.9716871270.00162.63241.503885263.22990.12135.145538.75247.47142.201202.77111.46116.029.953.27216.83466.841610.280.28675195653728.4752.134.1262.017.26326.6870861.2897.8344.3754.7856.0769.3123.16153.50149.584788.9212245224.89130.64144.572648146.62726.30104.444199.71196.0091.44908.4391.07102.6111.933.65137.20262.411267.890.31789182188318.6734.694.0758.6710.61478.5499831.11141.5563.5676.8980.2797.3233.07205.27223.917115.3917290315.37196.01190.903870196.47987.69147.176269.49276.89132.861288.94127.02140.298.262.89182.00642.121685.050.23957216942144.9335.103.9263.8611.70525.89102591.17147.0473.1290.3492.03114.0335.41205.27242.637715.4216925333.03205.85190.034170197.261009.26153.346770.97294.36141.351371.21130.15138.217.882.93182.70753.692076.930.22269220447755.8738.703.9764.6814.25614.6987161.09173.7983.83101.00106.09128.0540.38228.80297.949407.7513788399.00240.62214.673807222.091123.85184.808314.29337.47147.981544.50143.53155.226.492.72205.931146.752430.740.20978237914974.4034.873.9466.6719.72982.23137211.05228.68115.03138.68145.42175.3756.64337.53414.9613230.7721689523.98333.54340.275649328.901672.73257.5511720.57496.24212.042162.58191.31198.254.962.29283.201886.303301.890.19669262248899.3335.913.9269.0911.87452.8997941.18137.6652.5267.2466.2484.8328.99162.90168.445329.8415162287.68156.50148.873733157.60814.65116.904610.01228.14118.491160.52102.83126.6411.873.35145.37335.864657.790.25031230919642.1330.974.0165.1012.98665.66110031.15161.3358.0373.3573.1892.4534.12250.23185.125893.4116147315.83172.68208.673805234.671002.00140.054793.66259.43132.281394.05114.58139.8110.822.92208.50420.044775.450.23185239300837.6030.674.0266.0616.04818.44137540.83193.7571.0788.0489.55110.9341.11296.20231.447320.7321683389.40220.44241.204833275.861232.47167.875329.07319.25164.521694.07154.19183.418.902.22237.77704.695269.010.20250251925176.9031.113.7367.9218.22971.24185090.75219.7680.82101.17102.58128.2248.96395.67263.118378.8730093440.79250.98333.206148367.921531.01199.437089.50374.71205.231983.82179.51205.207.871.95287.80998.177023.070.19336264172441.4730.423.6869.1718.77976.78184410.75220.9983.56103.89105.60131.5449.94395.70268.328528.7030097446.23251.07322.676150368.961516.96198.037198.64376.73206.881969.50176.49204.717.751.93284.43999.757161.480.19440267086274.5331.643.6769.4121.781088.17204990.80239.6197.82122.32123.20154.6455.24395.67310.279869.3429734499.69283.98319.576565369.111649.17215.858502.71421.58220.762264.97190.01229.126.821.93291.871604.218570.600.19501275868151.1730.763.7170.4524.071100.00199160.80268.33105.54129.58133.20164.0558.47395.70345.8110952.7729164548.83305.76331.506590368.471663.87238.738883.90441.24222.882292.38189.28242.756.221.90289.201879.999660.920.19307280162469.6731.653.7170.9626.561203.57201640.79301.11115.44143.02145.65180.4564.80436.27378.9812015.5030179589.86327.80345.776839405.001762.00259.2610335.50468.70233.562437.48200.38256.835.741.82301.232105.2610404.710.19385286818331.2730.633.6971.4734.911485.73286310.75363.16154.20186.19194.83234.6584.97544.33521.9016656.2042974758.21424.07441.239215506.332335.46343.4913532.74634.09309.042750.57254.45301.894.391.64324.403032.1013609.330.18909299834728.8031.053.6672.7136.391578.29307560.74373.71162.05196.44204.67247.8387.17566.70547.9717334.0046546790.77433.81495.379836528.892466.66347.9314203.87648.36322.762842.38263.13301.934.241.64322.203126.4813841.250.18867303198573.9731.693.6672.96OpenBenchmarking.org

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 1060GTX 1080GTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX0.08330.16660.24990.33320.41650.110.150.260.260.050.080.040.120.150.300.210.320.37

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350Min: 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: 51.3 / Avg: 258.19 / Max: 306.3Min: 52.6 / Avg: 238.95 / Max: 329.4Min: 55.9 / Avg: 272.91 / Max: 370.3Min: 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

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350Min: 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: 80.6 / Avg: 148.92 / Max: 222.7Min: 97.6 / Avg: 160.93 / Max: 243.5Min: 126.9 / Avg: 193.91 / Max: 298.6Min: 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

LeelaChessZero

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.22.0System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX70140210280350Min: 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: 82.3 / Avg: 164.63 / Max: 252.9Min: 51.8 / Avg: 153.94 / Max: 247.5Min: 59.1 / Avg: 216.14 / Max: 319.4Min: 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

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350Min: 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: 50.9 / Avg: 198.98 / Max: 206.3Min: 51.4 / Avg: 215.19 / Max: 226.6Min: 57.2 / Avg: 255.39 / Max: 271.7Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 75.4 / Avg: 201.26 / Max: 220.7Min: 55.7 / Avg: 208.34 / Max: 246.7Min: 119.7 / Avg: 273.57 / Max: 330.8Min: 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

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00cSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 50.8 / Avg: 160.22 / Max: 180Min: 53.6 / Avg: 178.66 / Max: 203.2Min: 128.3 / Avg: 220.62 / Max: 240Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 94.5 / Avg: 195.88 / Max: 219.3Min: 90.4 / Avg: 213.83 / Max: 251.4Min: 56.5 / Avg: 270.73 / Max: 328.7Min: 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

clpeak

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

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 52.2 / Avg: 180.29 / Max: 185.6Min: 87.7 / Avg: 195.16 / Max: 205Min: 130.4 / Avg: 238.82 / Max: 247.5Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 89.6 / Avg: 193.7 / Max: 220.3Min: 53.3 / Avg: 201.25 / Max: 246.9Min: 71.2 / Avg: 244.52 / Max: 316.6Min: 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

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 51.9 / Avg: 177.8 / Max: 184.4Min: 51 / Avg: 193.46 / Max: 203.7Min: 112.5 / Avg: 234.81 / Max: 244.3Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 51.5 / Avg: 184.27 / Max: 233.4Min: 69.1 / Avg: 196.2 / Max: 247.2Min: 55.1 / Avg: 244.29 / Max: 316.2Min: 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

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 94.8 / Avg: 192.64 / Max: 216.8Min: 99.4 / Avg: 199.9 / Max: 241.3Min: 124.3 / Avg: 237.03 / Max: 284.6Min: 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

FAHBench

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 48.8 / Avg: 147.69 / Max: 193Min: 49.8 / Avg: 159.19 / Max: 211.9Min: 56.3 / Avg: 186.17 / Max: 244.4Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 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: 81.4 / Avg: 182.54 / Max: 219.9Min: 56.7 / Avg: 188.31 / Max: 242.7Min: 126.5 / Avg: 220.09 / Max: 281.6Min: 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

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTX60120180240300Min: 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: 83.3 / Avg: 172.91 / Max: 233.2Min: 53 / Avg: 176.69 / Max: 244.6Min: 129.1 / Avg: 233.7 / Max: 292Min: 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

clpeak

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorGTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERTITAN RTX60120180240300Min: 45.5 / Avg: 67.18 / Max: 127.1Min: 51.4 / Avg: 98.78 / Max: 148.8Min: 52.5 / Avg: 122.69 / Max: 181.1Min: 54.9 / Avg: 131.87 / Max: 194.2Min: 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

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250Min: 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: 81.7 / Avg: 163.48 / Max: 201.2Min: 52.8 / Avg: 183.08 / Max: 228.8Min: 127.5 / Avg: 205.03 / Max: 260.5Min: 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

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250Min: 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: 72.9 / Avg: 158.81 / Max: 190.7Min: 99.3 / Avg: 168.06 / Max: 211.7Min: 128.3 / Avg: 193.81 / Max: 239.9Min: 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

clpeak

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1070GTX 1070 TiGTX 1080GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5010015020025070.6384.4689.1171.3539.3636.4942.00109.20111.7474.32121.6279.2584.49222.09103.61

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250Min: 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: 52.1 / Avg: 148.78 / Max: 190.2Min: 53.5 / Avg: 157.67 / Max: 213.1Min: 57 / Avg: 191.08 / Max: 247.4Min: 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

clpeak

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX36912151.842.631.922.262.733.162.241.521.652.024.883.335.415.094.869.156.18

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 Ti50100150200250Min: 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: 94.4 / Avg: 160.18 / Max: 203.4Min: 100 / Avg: 162.49 / Max: 218.7Min: 57.1 / Avg: 192.1 / Max: 249.1Min: 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

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX816243240SE +/- 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 +/- 0.00, 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 = 37.2610.6111.7014.2519.7211.8712.986.507.499.2216.0418.2218.7721.7824.0726.5634.9136.391. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX816243240Min: 7.26 / Avg: 7.26 / Max: 7.27Min: 10.59 / Avg: 10.61 / Max: 10.65Min: 11.69 / Avg: 11.7 / Max: 11.7Min: 14.22 / Avg: 14.25 / Max: 14.3Min: 19.66 / Avg: 19.72 / Max: 19.8Min: 11.87 / Avg: 11.87 / Max: 11.88Min: 12.97 / Avg: 12.98 / Max: 12.98Min: 6.5 / Avg: 6.5 / Max: 6.5Min: 7.49 / Avg: 7.49 / Max: 7.5Min: 9.22 / Avg: 9.22 / Max: 9.23Min: 16 / Avg: 16.04 / Max: 16.09Min: 18.18 / Avg: 18.22 / Max: 18.24Min: 18.71 / Avg: 18.77 / Max: 18.81Min: 21.72 / Avg: 21.78 / Max: 21.89Min: 24.05 / Avg: 24.07 / Max: 24.09Min: 26.52 / Avg: 26.56 / Max: 26.57Min: 34.68 / Avg: 34.91 / Max: 35.05Min: 36.32 / Avg: 36.39 / Max: 36.511. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

Rodinia

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorGTX 1060GTX 1070 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2070 SUPER4080120160200Min: 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: 50.5 / Avg: 141.83 / Max: 190Min: 52.6 / Avg: 156.47 / Max: 203.2Min: 54.7 / Avg: 167.04 / Max: 233.5Min: 47.6 / Avg: 121.91 / Max: 156.6Min: 47 / Avg: 103.36 / Max: 166

clpeak

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200Min: 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: 93.6 / Avg: 140.29 / Max: 146.2Min: 51.6 / Avg: 146.12 / Max: 159.1Min: 128.4 / Avg: 179.97 / Max: 191.4Min: 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

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX30060090012001500SE +/- 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 +/- 0.48, N = 3SE +/- 1.09, N = 3SE +/- 3.01, 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 = 3326.68478.54525.89614.69982.23452.89665.66411.29458.35725.98818.44971.24976.781088.171100.001203.571485.731578.291. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX30060090012001500Min: 306.72 / Avg: 326.68 / Max: 334.81Min: 459.83 / Avg: 478.54 / Max: 488.17Min: 525.56 / Avg: 525.89 / Max: 526.22Min: 607.91 / Avg: 614.69 / Max: 620.06Min: 980.36 / Avg: 982.23 / Max: 984.05Min: 452.56 / Avg: 452.89 / Max: 453.44Min: 662.55 / Avg: 665.66 / Max: 667.51Min: 410.33 / Avg: 411.29 / Max: 411.91Min: 457.19 / Avg: 458.35 / Max: 460.54Min: 719.96 / Avg: 725.98 / Max: 729.08Min: 817.33 / Avg: 818.44 / Max: 819.12Min: 968.1 / Avg: 971.24 / Max: 977.42Min: 973.65 / Avg: 976.78 / Max: 982.57Min: 1087.63 / Avg: 1088.17 / Max: 1088.49Min: 1099.29 / Avg: 1100 / Max: 1100.65Min: 1202.34 / Avg: 1203.57 / Max: 1205.01Min: 1480.57 / Avg: 1485.73 / Max: 1490.16Min: 1576.6 / Avg: 1578.29 / Max: 1581.031. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX1.13182.26363.39544.52725.6591.481.802.102.252.661.901.841.051.151.062.162.593.092.893.213.183.705.03

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX6121824307.599.6511.309.3510.229.5611.205.205.536.6411.6712.9814.8419.7014.1616.6022.6323.23

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 Ti481216204.006.236.367.877.975.7012.255.125.456.9213.2317.598.6715.5815.4611.54

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX7K14K21K28K35KSE +/- 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 +/- 2.00, N = 3SE +/- 18.25, N = 3SE +/- 49.74, 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 = 3708699831025987161372197941100379858914110961375418509184412049919916201642863130756
OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5K10K15K20K25KMin: 7084 / Avg: 7086 / Max: 7089Min: 9973 / Avg: 9982.67 / Max: 9989Min: 10228 / Avg: 10259 / Max: 10275Min: 8714 / Avg: 8715.67 / Max: 8718Min: 13702 / Avg: 13721.33 / Max: 13760Min: 9793 / Avg: 9794.33 / Max: 9797Min: 11001 / Avg: 11003.33 / Max: 11008Min: 7983 / Avg: 7985 / Max: 7989Min: 8881 / Avg: 8914 / Max: 8944Min: 11036 / Avg: 11096.33 / Max: 11195Min: 13750 / Avg: 13754.33 / Max: 13762Min: 18444 / Avg: 18508.67 / Max: 18591Min: 18404 / Avg: 18440.67 / Max: 18492Min: 20465 / Avg: 20498.67 / Max: 20516Min: 19901 / Avg: 19916 / Max: 19939Min: 19948 / Avg: 20164.33 / Max: 20273Min: 28609 / Avg: 28631 / Max: 28674Min: 30577 / Avg: 30756 / Max: 31092

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.7111.4222.1332.8443.555SE +/- 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 8SE +/- 0.00, N = 3SE +/- 0.00, N = 31.281.111.171.091.051.181.153.163.101.510.830.750.750.800.800.790.750.74
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX246810Min: 1.27 / Avg: 1.28 / Max: 1.3Min: 1.1 / Avg: 1.11 / Max: 1.12Min: 1.16 / Avg: 1.17 / Max: 1.18Min: 1.08 / Avg: 1.09 / Max: 1.1Min: 1.03 / Avg: 1.05 / Max: 1.09Min: 1.18 / Avg: 1.18 / Max: 1.18Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 3.14 / Avg: 3.16 / Max: 3.18Min: 3.09 / Avg: 3.1 / Max: 3.11Min: 1.5 / Avg: 1.51 / Max: 1.51Min: 0.83 / Avg: 0.83 / Max: 0.83Min: 0.75 / Avg: 0.75 / Max: 0.76Min: 0.75 / Avg: 0.75 / Max: 0.75Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.78 / Avg: 0.79 / Max: 0.8Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 0.74 / Avg: 0.74 / Max: 0.75

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX80160240320400SE +/- 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 +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.26, 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 = 397.83141.55147.04173.79228.68137.66161.3388.16101.92116.31193.75219.76220.99239.61268.33301.11363.16373.71
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350Min: 97.49 / Avg: 97.83 / Max: 98.17Min: 141.28 / Avg: 141.55 / Max: 141.89Min: 146.97 / Avg: 147.04 / Max: 147.16Min: 173.4 / Avg: 173.79 / Max: 174.38Min: 228.33 / Avg: 228.68 / Max: 229.07Min: 137.22 / Avg: 137.66 / Max: 138.15Min: 161.27 / Avg: 161.33 / Max: 161.43Min: 88.15 / Avg: 88.16 / Max: 88.17Min: 101.39 / Avg: 101.92 / Max: 102.29Min: 115.91 / Avg: 116.31 / Max: 116.79Min: 193.27 / Avg: 193.75 / Max: 194.47Min: 218.98 / Avg: 219.76 / Max: 220.51Min: 220.47 / Avg: 220.99 / Max: 221.85Min: 239.45 / Avg: 239.61 / Max: 239.78Min: 267.37 / Avg: 268.33 / Max: 269.4Min: 300.74 / Avg: 301.11 / Max: 301.52Min: 362.35 / Avg: 363.16 / Max: 363.85Min: 372.76 / Avg: 373.71 / Max: 374.29

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200SE +/- 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 +/- 0.18, N = 3SE +/- 0.62, N = 4SE +/- 0.77, 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 = 344.3763.5673.1283.83115.0352.5258.0339.3443.6356.1371.0780.8283.5697.82105.54115.44154.20162.05
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX306090120150Min: 44.21 / Avg: 44.37 / Max: 44.6Min: 63.33 / Avg: 63.56 / Max: 63.94Min: 73.08 / Avg: 73.12 / Max: 73.18Min: 83.37 / Avg: 83.83 / Max: 84.34Min: 114.45 / Avg: 115.03 / Max: 115.89Min: 52.4 / Avg: 52.52 / Max: 52.67Min: 57.88 / Avg: 58.03 / Max: 58.26Min: 39.15 / Avg: 39.34 / Max: 39.7Min: 42.84 / Avg: 43.63 / Max: 45.49Min: 55.19 / Avg: 56.13 / Max: 57.65Min: 70.82 / Avg: 71.07 / Max: 71.44Min: 80.49 / Avg: 80.82 / Max: 81.26Min: 82.97 / Avg: 83.56 / Max: 84.19Min: 97.51 / Avg: 97.82 / Max: 98.02Min: 104.87 / Avg: 105.54 / Max: 106.37Min: 115.07 / Avg: 115.44 / Max: 115.8Min: 153.63 / Avg: 154.2 / Max: 154.86Min: 161.31 / Avg: 162.05 / Max: 162.94

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200SE +/- 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 +/- 0.01, N = 3SE +/- 0.47, N = 3SE +/- 0.65, 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 = 354.7876.8990.34101.00138.6867.2473.3547.7053.4968.4788.04101.17103.89122.32129.58143.02186.19196.44
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200Min: 54.68 / Avg: 54.78 / Max: 54.94Min: 76.7 / Avg: 76.89 / Max: 77.08Min: 90.27 / Avg: 90.34 / Max: 90.45Min: 100.78 / Avg: 101 / Max: 101.31Min: 138.17 / Avg: 138.68 / Max: 139.34Min: 66.99 / Avg: 67.24 / Max: 67.55Min: 73.18 / Avg: 73.35 / Max: 73.59Min: 47.69 / Avg: 47.7 / Max: 47.73Min: 52.98 / Avg: 53.49 / Max: 54.44Min: 67.58 / Avg: 68.47 / Max: 69.74Min: 87.77 / Avg: 88.04 / Max: 88.35Min: 100.84 / Avg: 101.17 / Max: 101.51Min: 103.47 / Avg: 103.89 / Max: 104.34Min: 121.92 / Avg: 122.32 / Max: 122.72Min: 128.93 / Avg: 129.58 / Max: 130.36Min: 142.65 / Avg: 143.02 / Max: 143.42Min: 185.53 / Avg: 186.19 / Max: 186.93Min: 195.58 / Avg: 196.44 / Max: 197.44

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200SE +/- 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 +/- 0.21, N = 3SE +/- 0.83, N = 4SE +/- 1.12, 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 = 356.0780.2792.03106.09145.4266.2473.1849.7655.7071.2689.55102.58105.60123.20133.20145.65194.83204.67
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200Min: 55.8 / Avg: 56.07 / Max: 56.41Min: 79.81 / Avg: 80.27 / Max: 80.83Min: 91.93 / Avg: 92.03 / Max: 92.19Min: 105.5 / Avg: 106.09 / Max: 106.86Min: 144.46 / Avg: 145.42 / Max: 146.59Min: 66.03 / Avg: 66.24 / Max: 66.58Min: 72.93 / Avg: 73.18 / Max: 73.43Min: 49.35 / Avg: 49.76 / Max: 50Min: 54.49 / Avg: 55.7 / Max: 58.05Min: 69.37 / Avg: 71.26 / Max: 73.24Min: 89.19 / Avg: 89.55 / Max: 89.98Min: 102.1 / Avg: 102.58 / Max: 103.26Min: 105.06 / Avg: 105.6 / Max: 106.36Min: 122.7 / Avg: 123.2 / Max: 123.67Min: 132.33 / Avg: 133.2 / Max: 134.28Min: 145.22 / Avg: 145.65 / Max: 146.21Min: 194.12 / Avg: 194.83 / Max: 195.83Min: 203.85 / Avg: 204.67 / Max: 205.76

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250SE +/- 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 +/- 0.05, N = 3SE +/- 0.79, N = 3SE +/- 1.36, 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 = 369.3197.32114.03128.05175.3784.8392.4560.3268.9587.39110.93128.22131.54154.64164.05180.45234.65247.83
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200Min: 69.14 / Avg: 69.31 / Max: 69.55Min: 97.01 / Avg: 97.32 / Max: 97.59Min: 113.94 / Avg: 114.03 / Max: 114.15Min: 127.45 / Avg: 128.05 / Max: 128.75Min: 174.34 / Avg: 175.37 / Max: 176.48Min: 84.49 / Avg: 84.83 / Max: 85.21Min: 92.08 / Avg: 92.45 / Max: 92.91Min: 60.26 / Avg: 60.32 / Max: 60.42Min: 67.57 / Avg: 68.95 / Max: 70.31Min: 85.16 / Avg: 87.39 / Max: 89.84Min: 110.47 / Avg: 110.93 / Max: 111.54Min: 127.68 / Avg: 128.22 / Max: 128.86Min: 130.9 / Avg: 131.54 / Max: 132.37Min: 154.27 / Avg: 154.64 / Max: 155.2Min: 162.9 / Avg: 164.05 / Max: 165.4Min: 180.02 / Avg: 180.45 / Max: 180.98Min: 233.84 / Avg: 234.65 / Max: 235.55Min: 247.23 / Avg: 247.83 / Max: 248.59

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX20406080100SE +/- 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 +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.10, 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 = 323.1633.0735.4140.3856.6428.9934.1221.4224.2430.6441.1148.9649.9455.2458.4764.8084.9787.17
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX20406080100Min: 23.12 / Avg: 23.16 / Max: 23.23Min: 32.99 / Avg: 33.07 / Max: 33.17Min: 35.38 / Avg: 35.41 / Max: 35.46Min: 40.24 / Avg: 40.38 / Max: 40.52Min: 56.5 / Avg: 56.64 / Max: 56.87Min: 28.95 / Avg: 28.99 / Max: 29.05Min: 34.07 / Avg: 34.12 / Max: 34.18Min: 21.38 / Avg: 21.42 / Max: 21.48Min: 24.05 / Avg: 24.24 / Max: 24.53Min: 30.54 / Avg: 30.64 / Max: 30.84Min: 41.01 / Avg: 41.11 / Max: 41.26Min: 48.73 / Avg: 48.96 / Max: 49.22Min: 49.78 / Avg: 49.94 / Max: 50.19Min: 55.17 / Avg: 55.24 / Max: 55.33Min: 58.27 / Avg: 58.47 / Max: 58.77Min: 64.64 / Avg: 64.8 / Max: 64.88Min: 84.64 / Avg: 84.97 / Max: 85.36Min: 86.77 / Avg: 87.17 / Max: 87.63

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX120240360480600SE +/- 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 +/- 1.50, N = 8SE +/- 0.10, N = 3SE +/- 0.12, 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 = 3153.50205.27205.27228.80337.53162.90250.23142.10164.50265.33296.20395.67395.70395.67395.70436.27544.33566.701. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX100200300400500Min: 153.5 / Avg: 153.5 / Max: 153.5Min: 205.2 / Avg: 205.27 / Max: 205.3Min: 205.2 / Avg: 205.27 / Max: 205.4Min: 228.6 / Avg: 228.8 / Max: 229Min: 337.2 / Avg: 337.53 / Max: 337.9Min: 162.9 / Avg: 162.9 / Max: 162.9Min: 250.1 / Avg: 250.23 / Max: 250.3Min: 131.6 / Avg: 142.1 / Max: 143.7Min: 164.3 / Avg: 164.5 / Max: 164.6Min: 265.1 / Avg: 265.33 / Max: 265.5Min: 296 / Avg: 296.2 / Max: 296.6Min: 395.4 / Avg: 395.67 / Max: 396.1Min: 395.4 / Avg: 395.7 / Max: 396.2Min: 395.4 / Avg: 395.67 / Max: 396.1Min: 395.4 / Avg: 395.7 / Max: 396.2Min: 436 / Avg: 436.27 / Max: 436.8Min: 543.7 / Avg: 544.33 / Max: 545Min: 566 / Avg: 566.7 / Max: 567.41. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX120240360480600SE +/- 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 +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.35, 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 = 3149.58223.91242.63297.94414.96168.44185.12137.47159.68196.60231.44263.11268.32310.27345.81378.98521.90547.971. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX100200300400500Min: 149.42 / Avg: 149.58 / Max: 149.86Min: 222.79 / Avg: 223.91 / Max: 225.23Min: 242.6 / Avg: 242.63 / Max: 242.65Min: 296.99 / Avg: 297.94 / Max: 299.44Min: 413.44 / Avg: 414.96 / Max: 417.19Min: 168.44 / Avg: 168.44 / Max: 168.44Min: 185.1 / Avg: 185.12 / Max: 185.13Min: 137.43 / Avg: 137.47 / Max: 137.52Min: 159.57 / Avg: 159.68 / Max: 159.81Min: 196.17 / Avg: 196.6 / Max: 197.3Min: 231.43 / Avg: 231.44 / Max: 231.45Min: 262.4 / Avg: 263.11 / Max: 264.52Min: 266.7 / Avg: 268.32 / Max: 269.18Min: 308.73 / Avg: 310.27 / Max: 311.06Min: 343.96 / Avg: 345.81 / Max: 346.75Min: 378.93 / Avg: 378.98 / Max: 379.02Min: 520.32 / Avg: 521.9 / Max: 524.82Min: 546.71 / Avg: 547.97 / Max: 550.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX1.14532.29063.43594.58125.72651.832.372.592.813.002.983.141.281.431.413.103.233.683.673.954.524.565.09

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4K8K12K16K20KSE +/- 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 +/- 0.74, N = 3SE +/- 3.92, N = 3SE +/- 11.70, 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 = 34788.927115.397715.429407.7513230.775329.845893.414362.315052.736213.977320.738378.878528.709869.3410952.7712015.5016656.2017334.001. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX3K6K9K12K15KMin: 4776.25 / Avg: 4788.92 / Max: 4795.3Min: 7112.49 / Avg: 7115.39 / Max: 7118.95Min: 7713.79 / Avg: 7715.42 / Max: 7716.58Min: 9404.45 / Avg: 9407.75 / Max: 9413.75Min: 13226.2 / Avg: 13230.77 / Max: 13238.6Min: 5315.74 / Avg: 5329.84 / Max: 5357.41Min: 5893.36 / Avg: 5893.41 / Max: 5893.5Min: 4361.4 / Avg: 4362.31 / Max: 4363.77Min: 5047.71 / Avg: 5052.73 / Max: 5060.46Min: 6201.96 / Avg: 6213.97 / Max: 6237.37Min: 7301.6 / Avg: 7320.73 / Max: 7358.98Min: 8351.43 / Avg: 8378.87 / Max: 8433.66Min: 8482.71 / Avg: 8528.7 / Max: 8620.63Min: 9818.31 / Avg: 9869.34 / Max: 9971.38Min: 10923.4 / Avg: 10952.77 / Max: 11011.4Min: 11954.1 / Avg: 12015.5 / Max: 12138.1Min: 16568 / Avg: 16656.2 / Max: 16832.1Min: 17242 / Avg: 17334 / Max: 17517.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX10K20K30K40K50KSE +/- 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 +/- 6.23, N = 3SE +/- 26.16, N = 3SE +/- 39.15, 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 = 3122451729016925137882168915162161471173213246168712168330093300972973429164301794297446546
OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX8K16K24K32K40KMin: 12241 / Avg: 12245 / Max: 12253Min: 17289 / Avg: 17290 / Max: 17292Min: 16888 / Avg: 16925 / Max: 16998Min: 13759 / Avg: 13788.33 / Max: 13821Min: 21681 / Avg: 21688.67 / Max: 21704Min: 15094 / Avg: 15162.33 / Max: 15210Min: 16109 / Avg: 16147 / Max: 16176Min: 11724 / Avg: 11731.67 / Max: 11744Min: 13215 / Avg: 13246 / Max: 13298Min: 16814 / Avg: 16871 / Max: 16946Min: 21682 / Avg: 21682.67 / Max: 21684Min: 30084 / Avg: 30093 / Max: 30101Min: 30087 / Avg: 30097.33 / Max: 30112Min: 29554 / Avg: 29734.33 / Max: 29895Min: 29156 / Avg: 29164 / Max: 29179Min: 30178 / Avg: 30179.33 / Max: 30181Min: 42708 / Avg: 42974 / Max: 43280Min: 46506 / Avg: 46545.67 / Max: 46577

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2004006008001000SE +/- 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 +/- 0.03, N = 3SE +/- 0.50, N = 3SE +/- 0.56, 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 = 3224.89315.37333.03399.00523.98287.68315.83204.32231.66270.00389.40440.79446.23499.69548.83589.86758.21790.77
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX140280420560700Min: 224.54 / Avg: 224.89 / Max: 225.07Min: 315.2 / Avg: 315.37 / Max: 315.63Min: 332.49 / Avg: 333.03 / Max: 334Min: 398.38 / Avg: 399 / Max: 399.37Min: 522.59 / Avg: 523.98 / Max: 525.11Min: 287.66 / Avg: 287.68 / Max: 287.71Min: 315.54 / Avg: 315.83 / Max: 316.06Min: 204.27 / Avg: 204.32 / Max: 204.36Min: 230.69 / Avg: 231.66 / Max: 232.35Min: 269.37 / Avg: 270 / Max: 271.13Min: 389.01 / Avg: 389.4 / Max: 390.13Min: 440.29 / Avg: 440.79 / Max: 441.37Min: 445.83 / Avg: 446.23 / Max: 446.55Min: 498.72 / Avg: 499.69 / Max: 500.98Min: 545.63 / Avg: 548.83 / Max: 550.96Min: 587.12 / Avg: 589.86 / Max: 592.17Min: 756.33 / Avg: 758.21 / Max: 759.78Min: 786.44 / Avg: 790.77 / Max: 793.98

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.2340.4680.7020.9361.170.370.490.570.560.620.480.480.270.280.290.550.550.610.660.770.801.040.94

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX6121824309.5712.3514.1614.0215.2114.7916.066.987.177.6718.2020.6821.3524.7526.2125.0626.7122.19

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.43880.87761.31641.75522.1940.700.991.080.941.340.951.020.520.560.611.111.231.181.341.361.521.661.95

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX90180270360450SE +/- 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 +/- 0.00, N = 3SE +/- 0.26, 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 = 3130.64196.01205.85240.62333.54156.50172.68116.05142.14162.63220.44250.98251.07283.98305.76327.80424.07433.81
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX80160240320400Min: 130.32 / Avg: 130.64 / Max: 130.86Min: 195.53 / Avg: 196.01 / Max: 196.51Min: 205.75 / Avg: 205.85 / Max: 206Min: 240.5 / Avg: 240.62 / Max: 240.84Min: 332.77 / Avg: 333.54 / Max: 334.21Min: 156.03 / Avg: 156.5 / Max: 157.08Min: 172.61 / Avg: 172.68 / Max: 172.81Min: 116.05 / Avg: 116.05 / Max: 116.05Min: 141.87 / Avg: 142.14 / Max: 142.66Min: 162.56 / Avg: 162.63 / Max: 162.74Min: 220.26 / Avg: 220.44 / Max: 220.76Min: 250.26 / Avg: 250.98 / Max: 251.89Min: 250.02 / Avg: 251.07 / Max: 251.75Min: 282.89 / Avg: 283.98 / Max: 285.31Min: 305.05 / Avg: 305.76 / Max: 306.96Min: 327.59 / Avg: 327.8 / Max: 327.99Min: 422.83 / Avg: 424.07 / Max: 426.14Min: 432.58 / Avg: 433.81 / Max: 435

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX110220330440550SE +/- 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 +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, 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 = 3144.57190.90190.03214.67340.27148.87208.67132.60151.50241.50241.20333.20322.67319.57331.50345.77441.23495.371. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX90180270360450Min: 144.5 / Avg: 144.57 / Max: 144.6Min: 190.9 / Avg: 190.9 / Max: 190.9Min: 190 / Avg: 190.03 / Max: 190.1Min: 214.6 / Avg: 214.67 / Max: 214.7Min: 339.7 / Avg: 340.27 / Max: 340.6Min: 148.8 / Avg: 148.87 / Max: 148.9Min: 208.5 / Avg: 208.67 / Max: 208.9Min: 132.6 / Avg: 132.6 / Max: 132.6Min: 151.5 / Avg: 151.5 / Max: 151.5Min: 241.4 / Avg: 241.5 / Max: 241.6Min: 240.4 / Avg: 241.2 / Max: 241.6Min: 332.1 / Avg: 333.2 / Max: 334.8Min: 320.8 / Avg: 322.67 / Max: 324.2Min: 319 / Avg: 319.57 / Max: 320.4Min: 331.2 / Avg: 331.5 / Max: 331.7Min: 345 / Avg: 345.77 / Max: 346.8Min: 440.6 / Avg: 441.23 / Max: 441.8Min: 492.9 / Avg: 495.37 / Max: 497.71. (CC) gcc options: -O2 -flto -lOpenCL

Rodinia

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 2.4System Power Consumption MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX306090120150Min: 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: 85.4 / Avg: 117.57 / Max: 120.9Min: 88.8 / Avg: 119.77 / Max: 124.7Min: 110.1 / Avg: 153.24 / Max: 157.4Min: 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

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2K4K6K8K10KSE +/- 3.76, N = 3SE +/- 1.20, N = 3SE +/- 3.51, N = 3SE +/- 0.67, N = 3SE +/- 7.09, N = 3SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 2.73, N = 3SE +/- 8.00, 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 = 3264838704170380756493733380527303048388548336148615065656590683992159836
OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2K4K6K8K10KMin: 2642 / Avg: 2648.33 / Max: 2655Min: 3868 / Avg: 3869.67 / Max: 3872Min: 4166 / Avg: 4170 / Max: 4177Min: 3806 / Avg: 3806.67 / Max: 3808Min: 5640 / Avg: 5649 / Max: 5663Min: 3732 / Avg: 3733 / Max: 3734Min: 2728 / Avg: 2730.33 / Max: 2734Min: 3043 / Avg: 3048.33 / Max: 3052Min: 3869 / Avg: 3885 / Max: 3893Min: 4832 / Avg: 4832.67 / Max: 4834Min: 6147 / Avg: 6148.33 / Max: 6149Min: 6148 / Avg: 6150.33 / Max: 6154Min: 6588 / Avg: 6589.67 / Max: 6591Min: 6838 / Avg: 6839 / Max: 6840Min: 9206 / Avg: 9214.67 / Max: 9220Min: 9833 / Avg: 9836 / Max: 9839

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX110220330440550SE +/- 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 +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.52, 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 = 3146.62196.47197.26222.09328.90157.60234.67143.48164.25263.22275.86367.92368.96369.11368.47405.00506.33528.891. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX90180270360450Min: 146.5 / Avg: 146.62 / Max: 146.69Min: 196.28 / Avg: 196.47 / Max: 196.83Min: 197.25 / Avg: 197.26 / Max: 197.26Min: 221.97 / Avg: 222.09 / Max: 222.26Min: 327.62 / Avg: 328.9 / Max: 330.06Min: 157.6 / Avg: 157.6 / Max: 157.61Min: 234.41 / Avg: 234.67 / Max: 234.99Min: 143.36 / Avg: 143.48 / Max: 143.56Min: 164.2 / Avg: 164.25 / Max: 164.28Min: 262.17 / Avg: 263.22 / Max: 263.74Min: 275.39 / Avg: 275.86 / Max: 276.14Min: 367.71 / Avg: 367.92 / Max: 368.07Min: 368.88 / Avg: 368.96 / Max: 369.1Min: 368.45 / Avg: 369.11 / Max: 369.46Min: 368.14 / Avg: 368.47 / Max: 368.89Min: 404.89 / Avg: 405 / Max: 405.16Min: 505.86 / Avg: 506.33 / Max: 507.2Min: 527.56 / Avg: 528.89 / Max: 529.561. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5001000150020002500SE +/- 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 +/- 0.75, N = 3SE +/- 0.24, N = 3SE +/- 0.07, 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 = 3726.30987.691009.261123.851672.73814.651002.00671.49759.43990.121232.471531.011516.961649.171663.871762.002335.462466.66
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX400800120016002000Min: 725.1 / Avg: 726.3 / Max: 727.2Min: 984.63 / Avg: 987.69 / Max: 989.85Min: 1008.28 / Avg: 1009.26 / Max: 1010.69Min: 1121.42 / Avg: 1123.85 / Max: 1125.72Min: 1662.99 / Avg: 1672.73 / Max: 1680.78Min: 812.09 / Avg: 814.65 / Max: 816.83Min: 1000.55 / Avg: 1002 / Max: 1003.54Min: 670.13 / Avg: 671.49 / Max: 672.71Min: 759.11 / Avg: 759.43 / Max: 759.9Min: 990.01 / Avg: 990.12 / Max: 990.24Min: 1230.15 / Avg: 1232.47 / Max: 1236.68Min: 1529.18 / Avg: 1531.01 / Max: 1534.17Min: 1514.94 / Avg: 1516.96 / Max: 1519.79Min: 1646.69 / Avg: 1649.17 / Max: 1650.64Min: 1655.67 / Avg: 1663.87 / Max: 1669.26Min: 1757.01 / Avg: 1762 / Max: 1766.68Min: 2328.06 / Avg: 2335.46 / Max: 2347.95Min: 2439.39 / Avg: 2466.66 / Max: 2482.28

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX80160240320400SE +/- 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 +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.07, 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 = 3104.44147.17153.34184.80257.55116.90140.0594.72105.64135.14167.87199.43198.03215.85238.73259.26343.49347.93
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 104.32 / Avg: 104.44 / Max: 104.65Min: 147.06 / Avg: 147.17 / Max: 147.36Min: 153.24 / Avg: 153.34 / Max: 153.46Min: 184.26 / Avg: 184.8 / Max: 185.52Min: 257.39 / Avg: 257.55 / Max: 257.83Min: 116.72 / Avg: 116.9 / Max: 117.12Min: 139.71 / Avg: 140.05 / Max: 140.49Min: 94.51 / Avg: 94.72 / Max: 95.03Min: 105.45 / Avg: 105.64 / Max: 105.99Min: 135.01 / Avg: 135.14 / Max: 135.24Min: 167.48 / Avg: 167.87 / Max: 168.27Min: 199.07 / Avg: 199.43 / Max: 199.9Min: 197.44 / Avg: 198.03 / Max: 198.36Min: 215.74 / Avg: 215.85 / Max: 215.97Min: 237.79 / Avg: 238.73 / Max: 239.76Min: 259.14 / Avg: 259.26 / Max: 259.45Min: 343.05 / Avg: 343.49 / Max: 344.25Min: 347.16 / Avg: 347.93 / Max: 348.59

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.86631.73262.59893.46524.33151.341.681.861.902.101.692.671.051.191.762.763.093.283.473.263.853.383.37

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 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 +/- 40.24, N = 15SE +/- 46.38, N = 8SE +/- 44.36, 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 = 154199.716269.496770.978314.2911720.574610.014793.663888.164476.695538.755329.077089.507198.648502.718883.9010335.5013532.7414203.871. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2K4K6K8K10KMin: 4196.49 / Avg: 4199.71 / Max: 4202.99Min: 6265.3 / Avg: 6269.49 / Max: 6275.37Min: 6760.98 / Avg: 6770.97 / Max: 6785.95Min: 8308.48 / Avg: 8314.29 / Max: 8319.28Min: 11712.35 / Avg: 11720.57 / Max: 11731.01Min: 4597.89 / Avg: 4610.01 / Max: 4624.67Min: 4537.68 / Avg: 4793.66 / Max: 5133.4Min: 3498.29 / Avg: 3888.16 / Max: 3948.46Min: 4152.15 / Avg: 4476.69 / Max: 4525.78Min: 5101.9 / Avg: 5538.75 / Max: 5611.95Min: 5220.89 / Avg: 5329.07 / Max: 5479.82Min: 6660.52 / Avg: 7089.5 / Max: 7602.81Min: 6674.06 / Avg: 7198.64 / Max: 7696.67Min: 8142.21 / Avg: 8502.71 / Max: 9026.44Min: 8869.2 / Avg: 8883.9 / Max: 8892.92Min: 10140.95 / Avg: 10335.5 / Max: 10566.59Min: 13125.63 / Avg: 13532.74 / Max: 13804.22Min: 13053.45 / Avg: 14203.87 / Max: 15437.951. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.16430.32860.49290.65720.82150.280.370.460.430.490.380.380.200.220.230.400.390.440.490.580.590.730.71

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.4590.9181.3771.8362.2950.780.951.121.101.131.221.320.560.610.601.341.491.571.721.751.992.042.04

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.5761.1521.7282.3042.881.011.241.571.511.761.421.470.710.780.791.551.741.692.102.192.222.532.56

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.83481.66962.50443.33924.1741.441.541.761.642.021.612.331.071.031.482.242.613.712.602.742.853.463.13

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX140280420560700SE +/- 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 +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.58, 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 = 3196.00276.89294.36337.47496.24228.14259.43181.87203.91247.47319.25374.71376.73421.58441.24468.70634.09648.36
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX110220330440550Min: 195.86 / Avg: 196 / Max: 196.07Min: 276.68 / Avg: 276.89 / Max: 277.18Min: 294.22 / Avg: 294.36 / Max: 294.52Min: 337.14 / Avg: 337.47 / Max: 338.12Min: 494.81 / Avg: 496.24 / Max: 497.01Min: 227.89 / Avg: 228.14 / Max: 228.44Min: 258.64 / Avg: 259.43 / Max: 260.28Min: 181.81 / Avg: 181.87 / Max: 181.99Min: 203.88 / Avg: 203.91 / Max: 203.94Min: 246.32 / Avg: 247.47 / Max: 248.16Min: 318.64 / Avg: 319.25 / Max: 319.97Min: 374.14 / Avg: 374.71 / Max: 375.76Min: 376.25 / Avg: 376.73 / Max: 377.19Min: 421.32 / Avg: 421.58 / Max: 421.95Min: 440.77 / Avg: 441.24 / Max: 441.62Min: 467.54 / Avg: 468.7 / Max: 469.59Min: 632.87 / Avg: 634.09 / Max: 634.95Min: 646.86 / Avg: 648.36 / Max: 649.2

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX7014021028035091.44132.86141.35147.98212.04118.49132.2895.60109.70142.20164.52205.23206.88220.76222.88233.56309.04322.76

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX6001200180024003000SE +/- 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 +/- 1.43, N = 3SE +/- 2.37, N = 3SE +/- 1.24, 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 = 3908.431288.941371.211544.502162.581160.521394.05841.48973.391202.771694.071983.821969.502264.972292.382437.482750.572842.38
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5001000150020002500Min: 903.72 / Avg: 908.43 / Max: 911.3Min: 1279.87 / Avg: 1288.94 / Max: 1294.37Min: 1369.86 / Avg: 1371.21 / Max: 1372.62Min: 1536.07 / Avg: 1544.5 / Max: 1549.93Min: 2147.89 / Avg: 2162.58 / Max: 2170.35Min: 1159.04 / Avg: 1160.52 / Max: 1163.2Min: 1388.53 / Avg: 1394.05 / Max: 1397.22Min: 838.63 / Avg: 841.48 / Max: 843.09Min: 968.67 / Avg: 973.39 / Max: 976.16Min: 1201.03 / Avg: 1202.77 / Max: 1205.17Min: 1687.76 / Avg: 1694.07 / Max: 1700.31Min: 1962.07 / Avg: 1983.82 / Max: 1995.82Min: 1960.87 / Avg: 1969.5 / Max: 1978.86Min: 2257.89 / Avg: 2264.97 / Max: 2273.95Min: 2284.48 / Avg: 2292.38 / Max: 2300.69Min: 2424.79 / Avg: 2437.48 / Max: 2447.82Min: 2728.29 / Avg: 2750.57 / Max: 2775.87Min: 2836.78 / Avg: 2842.38 / Max: 2850.17

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.72681.45362.18042.90723.6341.251.351.531.651.621.581.960.961.041.452.662.432.442.822.282.833.232.17

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.08330.16660.24990.33320.41650.150.180.230.200.240.210.220.110.120.130.230.250.260.300.290.320.370.37

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.23180.46360.69540.92721.1590.420.560.670.610.750.580.560.310.320.320.620.710.680.810.820.820.981.03

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300SE +/- 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 +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.18, 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 = 391.07127.02130.15143.53191.31102.83114.5879.7192.92111.46154.19179.51176.49190.01189.28200.38254.45263.13
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250Min: 90.78 / Avg: 91.07 / Max: 91.23Min: 126.92 / Avg: 127.02 / Max: 127.07Min: 130.13 / Avg: 130.15 / Max: 130.17Min: 143.51 / Avg: 143.53 / Max: 143.55Min: 191.25 / Avg: 191.31 / Max: 191.34Min: 102.69 / Avg: 102.83 / Max: 103.01Min: 114.52 / Avg: 114.58 / Max: 114.63Min: 79.69 / Avg: 79.71 / Max: 79.72Min: 92.68 / Avg: 92.92 / Max: 93.05Min: 111.2 / Avg: 111.46 / Max: 111.81Min: 154.1 / Avg: 154.19 / Max: 154.26Min: 179.46 / Avg: 179.51 / Max: 179.56Min: 176.16 / Avg: 176.49 / Max: 176.91Min: 189.74 / Avg: 190.01 / Max: 190.2Min: 189.08 / Avg: 189.28 / Max: 189.62Min: 200.26 / Avg: 200.38 / Max: 200.51Min: 254.29 / Avg: 254.45 / Max: 254.63Min: 262.77 / Avg: 263.13 / Max: 263.32

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350SE +/- 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 +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, 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 = 3102.61140.29138.21155.22198.25126.64139.8191.53102.86116.02183.41205.20204.71229.12242.75256.83301.89301.93
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX50100150200250Min: 102.39 / Avg: 102.61 / Max: 102.95Min: 139.79 / Avg: 140.29 / Max: 141.15Min: 138.13 / Avg: 138.21 / Max: 138.28Min: 154.52 / Avg: 155.22 / Max: 156.25Min: 197.72 / Avg: 198.25 / Max: 199.09Min: 126.29 / Avg: 126.64 / Max: 127.17Min: 139.61 / Avg: 139.81 / Max: 140.1Min: 91.49 / Avg: 91.53 / Max: 91.59Min: 102.74 / Avg: 102.86 / Max: 103.02Min: 115.97 / Avg: 116.02 / Max: 116.09Min: 182.65 / Avg: 183.41 / Max: 184.63Min: 204.54 / Avg: 205.2 / Max: 205.66Min: 203.78 / Avg: 204.71 / Max: 205.93Min: 228.15 / Avg: 229.12 / Max: 230.21Min: 241.66 / Avg: 242.75 / Max: 244.73Min: 256 / Avg: 256.83 / Max: 258.38Min: 300.8 / Avg: 301.89 / Max: 303.68Min: 300.74 / Avg: 301.93 / Max: 303.21

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.16880.33760.50640.67520.8440.320.430.500.480.560.420.440.240.260.250.460.520.530.610.560.640.740.75

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX3691215SE +/- 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 +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, 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 = 311.938.267.886.494.9611.8710.8212.9911.699.958.907.877.756.826.225.744.394.241. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX48121620Min: 11.91 / Avg: 11.93 / Max: 11.98Min: 8.25 / Avg: 8.26 / Max: 8.27Min: 7.78 / Avg: 7.88 / Max: 8.01Min: 6.48 / Avg: 6.49 / Max: 6.51Min: 4.94 / Avg: 4.96 / Max: 5.01Min: 11.86 / Avg: 11.87 / Max: 11.89Min: 10.8 / Avg: 10.82 / Max: 10.85Min: 12.96 / Avg: 12.99 / Max: 13.02Min: 11.6 / Avg: 11.69 / Max: 11.83Min: 9.89 / Avg: 9.95 / Max: 10.01Min: 8.88 / Avg: 8.9 / Max: 8.93Min: 7.87 / Avg: 7.87 / Max: 7.88Min: 7.74 / Avg: 7.75 / Max: 7.76Min: 6.74 / Avg: 6.82 / Max: 6.96Min: 6.2 / Avg: 6.22 / Max: 6.24Min: 5.72 / Avg: 5.74 / Max: 5.75Min: 4.37 / Avg: 4.39 / Max: 4.42Min: 4.23 / Avg: 4.24 / Max: 4.261. (CXX) g++ options: -O2 -lOpenCL

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.34430.68861.03291.37721.72150.720.941.010.950.940.960.990.540.590.581.151.261.271.531.291.411.471.52

clpeak

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.60751.2151.82252.433.03751.461.902.142.202.491.731.720.981.091.091.841.851.952.252.252.502.652.70

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Boat - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.99451.9892.98353.9784.9725SE +/- 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.652.892.932.722.293.352.924.423.923.272.221.951.931.931.901.821.641.64
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Boat - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX246810Min: 3.64 / Avg: 3.65 / Max: 3.66Min: 2.88 / Avg: 2.89 / Max: 2.9Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 2.28 / Avg: 2.29 / Max: 2.3Min: 3.34 / Avg: 3.35 / Max: 3.37Min: 2.91 / Avg: 2.92 / Max: 2.92Min: 4.41 / Avg: 4.42 / Max: 4.43Min: 3.92 / Avg: 3.92 / Max: 3.93Min: 3.26 / Avg: 3.27 / Max: 3.28Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 1.94 / Avg: 1.95 / Max: 1.95Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 1.9 / Avg: 1.9 / Max: 1.9Min: 1.81 / Avg: 1.82 / Max: 1.82Min: 1.64 / Avg: 1.64 / Max: 1.64Min: 1.61 / Avg: 1.64 / Max: 1.67

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2040608010040.0650.3061.4359.8766.2650.1749.6329.2931.4032.0550.3656.3857.1365.7663.9373.2376.6977.72

JuliaGPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX600K1200K1800K2400K3000K1658141.691809790.272260229.901906369.991682592.712790569.692880366.361275493.931325997.881099178.252469451.172670026.702271141.792632329.692691799.292379445.261910018.661923116.67

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX70140210280350SE +/- 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 +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.17, 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 = 3137.20182.00182.70205.93283.20145.37208.50124.77143.40216.83237.77287.80284.43291.87289.20301.23324.40322.201. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300Min: 137.1 / Avg: 137.2 / Max: 137.3Min: 181.9 / Avg: 182 / Max: 182.1Min: 182.7 / Avg: 182.7 / Max: 182.7Min: 205.9 / Avg: 205.93 / Max: 206Min: 282.9 / Avg: 283.2 / Max: 283.7Min: 145.3 / Avg: 145.37 / Max: 145.4Min: 208.3 / Avg: 208.5 / Max: 208.8Min: 124.7 / Avg: 124.77 / Max: 124.8Min: 143.4 / Avg: 143.4 / Max: 143.4Min: 216.5 / Avg: 216.83 / Max: 217Min: 237.6 / Avg: 237.77 / Max: 238Min: 287.4 / Avg: 287.8 / Max: 288.4Min: 284.1 / Avg: 284.43 / Max: 284.9Min: 291.7 / Avg: 291.87 / Max: 292.2Min: 289 / Avg: 289.2 / Max: 289.5Min: 301.1 / Avg: 301.23 / Max: 301.5Min: 323.7 / Avg: 324.4 / Max: 325.1Min: 320.9 / Avg: 322.2 / Max: 323.11. (CC) gcc options: -O2 -flto -lOpenCL

ViennaCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.3150.630.9451.261.5751.000.800.710.700.591.081.100.660.790.600.731.401.350.900.711.181.311.35

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2GTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.32630.65260.97891.30521.63150.830.961.101.001.021.111.100.620.650.621.211.271.291.421.381.451.381.33

LuxMark

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX30609012015083.3495.03111.5476.5588.26108.70102.7565.0767.8770.64112.43131.33130.30136.85119.09130.92131.66137.34

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2040608010051.1458.6370.3250.2957.6871.2270.3344.9146.0847.2572.1183.0983.9292.7882.6089.5889.7791.00

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX61218243017.0019.5925.6418.5120.0224.2222.5013.7214.1615.2122.9226.3825.5227.1824.5027.4126.9927.46

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX7001400210028003500SE +/- 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 +/- 1.93, N = 15SE +/- 2.79, N = 3SE +/- 5.67, 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 = 3262.41642.12753.691146.751886.30335.86420.04207.84280.99466.84704.69998.17999.751604.211879.992105.263032.103126.481. (CXX) g++ options: -lpthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX5001000150020002500Min: 253.74 / Avg: 262.41 / Max: 271.07Min: 543.08 / Avg: 642.12 / Max: 714.76Min: 712.7 / Avg: 753.69 / Max: 772.31Min: 1121.3 / Avg: 1146.75 / Max: 1172.23Min: 1835.53 / Avg: 1886.3 / Max: 1946.25Min: 308.55 / Avg: 335.86 / Max: 357.56Min: 375.01 / Avg: 420.04 / Max: 449.23Min: 196.93 / Avg: 207.84 / Max: 221.87Min: 275.81 / Avg: 280.99 / Max: 285.36Min: 421.15 / Avg: 466.84 / Max: 492.4Min: 701.95 / Avg: 704.69 / Max: 708.17Min: 902.21 / Avg: 998.17 / Max: 1118.93Min: 882.9 / Avg: 999.75 / Max: 1123.7Min: 1547.69 / Avg: 1604.21 / Max: 1678.53Min: 1837.67 / Avg: 1879.99 / Max: 1908.71Min: 2066.54 / Avg: 2105.26 / Max: 2163.91Min: 3020.49 / Avg: 3032.1 / Max: 3049.3Min: 3071.21 / Avg: 3126.48 / Max: 3163.961. (CXX) g++ options: -lpthread

clpeak

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX30609012015010.8323.8925.5926.8216.5279.9461.389.198.449.0063.2580.7452.7860.39123.0772.1654.7666.58

LeelaChessZero

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.22.0Backend: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX481216201.904.215.867.108.752.843.131.261.832.164.796.575.788.9810.7312.3214.0015.81

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 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 +/- 19.67, N = 3SE +/- 0.38, N = 3SE +/- 23.09, N = 3SE +/- 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 = 151267.891685.052076.932430.743301.894657.794775.451140.291312.061610.285269.017023.077161.488570.609660.9210404.7113609.3313841.251. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX2K4K6K8K10KMin: 1126.34 / Avg: 1267.89 / Max: 1290.72Min: 1639.44 / Avg: 1685.05 / Max: 1722.69Min: 2075.79 / Avg: 2076.93 / Max: 2078.25Min: 2378.04 / Avg: 2430.74 / Max: 2461.23Min: 3000.66 / Avg: 3301.89 / Max: 3375.19Min: 4594.53 / Avg: 4657.79 / Max: 4705.52Min: 4496.99 / Avg: 4775.45 / Max: 5173.28Min: 1102.57 / Avg: 1140.29 / Max: 1168.83Min: 1311.49 / Avg: 1312.06 / Max: 1312.77Min: 1564.12 / Avg: 1610.28 / Max: 1634.55Min: 5201.92 / Avg: 5269.01 / Max: 5395.15Min: 6574.27 / Avg: 7023.07 / Max: 7441.44Min: 6785.41 / Avg: 7161.48 / Max: 7580.47Min: 8189.47 / Avg: 8570.6 / Max: 9038.07Min: 9656.5 / Avg: 9660.92 / Max: 9669.13Min: 10047.59 / Avg: 10404.71 / Max: 10847.47Min: 13496.99 / Avg: 13609.33 / Max: 13687.78Min: 13064.83 / Avg: 13841.25 / Max: 14710.791. (CXX) g++ options: -O3 -rdynamic -lOpenCL

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX0.08180.16360.24540.32720.409SE +/- 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 +/- 0.00026, N = 4SE +/- 0.00159, N = 3SE +/- 0.00105, 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 = 30.317890.239570.222690.209780.196690.250310.231850.363680.331100.286750.202500.193360.194400.195010.193070.193850.189090.18867
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 1660GTX 1660 TiGTX 970GTX 980GTX 980 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX12345Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.22 / Avg: 0.22 / Max: 0.23Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.24 / Avg: 0.25 / Max: 0.25Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.2 / Avg: 0.2 / Max: 0.21Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.2 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19