NVIDIA GeForce RTX 2070 Linux Compute Benchmarks

NVIDIA GeForce RTX 2070 Ubuntu Linux compute OpenCL CUDA TensorFlow benchmarks. Tests by Michael Larabel for a future article on Phoronix.com.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1810180-SK-GPGPUCOMP97
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Identifier
Performance Per
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Date
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  Test
  Duration
RX 580
October 17 2018
  7 Minutes
R9 Fury
October 17 2018
  7 Minutes
RX Vega 56
October 17 2018
  6 Minutes
RX Vega 64
October 17 2018
  6 Minutes
GTX 970
October 18 2018
  13 Minutes
GTX 980
October 18 2018
  12 Minutes
GTX TITAN X
October 18 2018
  33 Minutes
GTX 1070
October 18 2018
  34 Minutes
GTX 1070 Ti
October 18 2018
  31 Minutes
GTX 1080
October 18 2018
  26 Minutes
GTX 1080 Ti
October 18 2018
  25 Minutes
RTX 2070
October 18 2018
  29 Minutes
RTX 2080 Ti
October 18 2018
  22 Minutes
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  19 Minutes

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RX Vega 56

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

RX Vega 64

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX Vega 8GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), OpenCL: OpenCL 2.1 AMD-APP (2679.0), Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 3840x2160

R9 Fury

Changed Graphics to Sapphire AMD Radeon 4GB.

RX 580

Changed Graphics to MSI AMD Radeon RX 580 8GB.

RTX 2080 Ti

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 4352
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

GTX 1080

Changed Graphics to NVIDIA GeForce GTX 1080 8GB (1607/5005MHz).

OpenCL Change: GPU Compute Cores: 2560
Python Notes: Python 2.7.15rc1 + Python 3.6.6

GTX 1080 Ti

Changed Graphics to NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz).

OpenCL Change: GPU Compute Cores: 3584

GTX 1070 Ti

Changed Graphics to Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz).

OpenCL Change: GPU Compute Cores: 2432

GTX 1070

Changed Graphics to NVIDIA GeForce GTX 1070 8GB (1506/4006MHz).

OpenCL Change: GPU Compute Cores: 1920

GTX 970

Changed Graphics to eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz).

OpenCL Change: GPU Compute Cores: 1664

GTX 980

Changed Graphics to NVIDIA GeForce GTX 980 4GB (1126/3505MHz).

OpenCL Change: GPU Compute Cores: 2048

GTX TITAN X

Changed Graphics to NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz).

OpenCL Change: GPU Compute Cores: 3072

RTX 2070

Changed Graphics to eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz).

OpenCL Change: GPU Compute Cores: 2304

NVIDIA GeForce RTX 2070 Linux Compute BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads)ASUS ROG ZENITH EXTREME (1402 BIOS)AMD Family 17h32768MBSamsung SSD 970 EVO 500GBAMD Radeon RX Vega 8GBRealtek ALC1220ASUS VP28UIntel I211 Gigabit ConnectionUbuntu 18.044.18.0-041800-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6modesetting 1.19.64.5 Mesa 18.0.5 (LLVM 6.0.0)OpenCL 2.1 AMD-APP (2679.0)GCC 7.3.0ext43840x2160Sapphire AMD Radeon 4GBMSI AMD Radeon RX 580 8GBNVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA 410.664.6.0OpenCL 1.2 CUDA 10.0.175GCC 7.3.0 + CUDA 10.0NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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 Processor Details- Scaling Governor: acpi-cpufreq ondemandSecurity Details- __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccompOpenCL Details- RTX 2080 Ti: GPU Compute Cores: 4352- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1070: GPU Compute Cores: 1920- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX TITAN X: GPU Compute Cores: 3072- RTX 2070: GPU Compute Cores: 2304Python Details- GTX 1080, GTX 1080 Ti, GTX 1070 Ti, GTX 1070, GTX 970, GTX 980, GTX TITAN X, RTX 2070: Python 2.7.15rc1 + Python 3.6.6

RX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070Result OverviewPhoronix Test Suite100%396%693%989%1285%SHOC Scalable HeterOgeneous ComputingSHOC Scalable HeterOgeneous ComputingclpeakOpenCL - MD5 HashOpenCL - FFT SPI.C.I

NVIDIA GeForce RTX 2070 Linux Compute Benchmarksshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashclpeak: Integer Compute INTv-ray: CUDA GPUaskap: Degriddingcuda-mini-nbody: Originalngc-tensorflow: ResNet-50, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: AlexNet, FP16ngc-tensorflow: AlexNet, FP32ngc-tensorflow: Googlenet, FP16ngc-tensorflow: Inception v4, FP16ngc-tensorflow: VGG-16, FP16ngc-tensorflow: VGG-16, FP32parboil: OpenCL TPACFRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207092912.41198493116.4325028219.2014305468.061253144334.871467953.913803711.22428276433032779861232041500.8265414.31243983.411427332.761901411856174645453.8392.9782.771.2198319.96329266.852218821.232652072635249962272.17131.27119.270.9355613.66233983.031378031.911851361773166044852.9389.3379.031.2055010.67171087.991354639.691581241549150437443.9077.1371.701.244076.471142120.57929151.7110459981.594597.491314107.781065045.90120311461.5572610.30180578.721775033.551521231648157537142.6378.2772.831.49101519.28815066.552581917.712951812714211064185.20138.3390.671.03OpenBenchmarking.org

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 SPRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207030060090012001500SE +/- 2.01, N = 3SE +/- 0.54, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 14.55, N = 3SE +/- 0.71, N = 3SE +/- 1.62, N = 3SE +/- 0.37, N = 3SE +/- 1.15, N = 3SE +/- 1.04, N = 3SE +/- 0.36, N = 3SE +/- 1.00, N = 3SE +/- 24.94, N = 3929931821546144365498355655040745972610151. (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 SPRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207030060090012001500Min: 925.54 / Avg: 929.24 / Max: 932.44Min: 930.1 / Avg: 930.9 / Max: 931.93Min: 821.15 / Avg: 821.27 / Max: 821.33Min: 545.95 / Avg: 546.11 / Max: 546.33Min: 1414.23 / Avg: 1442.89 / Max: 1461.63Min: 652.89 / Avg: 654.04 / Max: 655.33Min: 979.53 / Avg: 982.76 / Max: 984.46Min: 555.12 / Avg: 555.75 / Max: 556.41Min: 549.01 / Avg: 550.16 / Max: 552.46Min: 405.88 / Avg: 407.17 / Max: 409.23Min: 458.57 / Avg: 459.17 / Max: 459.81Min: 724.37 / Avg: 725.7 / Max: 727.66Min: 988.27 / Avg: 1014.94 / Max: 1064.781. (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 HashRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 312.4116.439.208.0634.8714.3119.9613.6610.676.477.4910.3019.281. (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 HashRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070714212835Min: 12.4 / Avg: 12.41 / Max: 12.43Min: 16.41 / Avg: 16.43 / Max: 16.45Min: 9.2 / Avg: 9.2 / Max: 9.2Min: 8.06 / Avg: 8.06 / Max: 8.06Min: 34.78 / Avg: 34.87 / Max: 35.01Min: 14.28 / Avg: 14.31 / Max: 14.33Min: 19.87 / Avg: 19.96 / Max: 20.05Min: 13.62 / Avg: 13.66 / Max: 13.74Min: 10.66 / Avg: 10.67 / Max: 10.7Min: 6.47 / Avg: 6.47 / Max: 6.47Min: 7.48 / Avg: 7.49 / Max: 7.49Min: 10.29 / Avg: 10.3 / Max: 10.3Min: 19.24 / Avg: 19.28 / Max: 19.311. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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 INTRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20703K6K9K12K15KSE +/- 1.34, N = 3SE +/- 2.43, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 947.36, N = 3SE +/- 23.15, N = 3SE +/- 104.07, N = 3SE +/- 28.40, N = 3SE +/- 6.94, N = 3SE +/- 17.17, N = 3SE +/- 3.45, N = 3SE +/- 19.05, N = 3SE +/- 495.02, N = 319842502143012531467924393292233917101142131418058150
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRX Vega 56RX Vega 64R9 FuryRX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20703K6K9K12K15KMin: 1981.13 / Avg: 1983.51 / Max: 1985.77Min: 2498.82 / Avg: 2502.43 / Max: 2507.06Min: 1429.49 / Avg: 1429.58 / Max: 1429.73Min: 1252.77 / Avg: 1252.81 / Max: 1252.86Min: 12784.74 / Avg: 14678.79 / Max: 15669.11Min: 2393.07 / Avg: 2438.51 / Max: 2468.96Min: 3084.39 / Avg: 3292.48 / Max: 3400.5Min: 2282.62 / Avg: 2339.26 / Max: 2371.33Min: 1698.02 / Avg: 1710.47 / Max: 1722.02Min: 1108.21 / Avg: 1142 / Max: 1164.17Min: 1308.2 / Avg: 1314.12 / Max: 1320.16Min: 1768.24 / Avg: 1804.9 / Max: 1832.22Min: 7160.52 / Avg: 8150.4 / Max: 8660.81

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterChaos Group V-RAY 1.1.0Mode: CUDA GPURTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070306090120150SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 353.9183.4166.8583.0387.99120.57107.7878.7266.55
OpenBenchmarking.orgSeconds, Fewer Is BetterChaos Group V-RAY 1.1.0Mode: CUDA GPURTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207020406080100Min: 53.83 / Avg: 53.91 / Max: 53.95Min: 66.82 / Avg: 66.85 / Max: 66.9Min: 82.92 / Avg: 83.03 / Max: 83.13Min: 87.69 / Avg: 87.99 / Max: 88.19Min: 119.99 / Avg: 120.57 / Max: 120.94Min: 107.36 / Avg: 107.78 / Max: 108.55Min: 78.69 / Avg: 78.72 / Max: 78.77Min: 66.29 / Avg: 66.55 / Max: 67.04

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207060120180240300Min: 99.6 / Avg: 298.13 / Max: 341.2Min: 162.9 / Avg: 219.51 / Max: 227.5Min: 168.6 / Avg: 277.93 / Max: 303.6Min: 136 / Avg: 229.75 / Max: 241.9Min: 130.8 / Avg: 219.79 / Max: 228.1Min: 157.1 / Avg: 222.29 / Max: 231.6Min: 96.2 / Avg: 233.17 / Max: 245.5Min: 170.3 / Avg: 297.26 / Max: 311.3Min: 91.4 / Avg: 260.71 / Max: 281.6

ASKAP tConvolveCuda

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP tConvolveCuda 2015-11-10Processing: DegriddingRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20708K16K24K32K40KSE +/- 0.00, N = 3SE +/- 259.50, N = 3SE +/- 233.57, N = 3SE +/- 233.57, N = 3SE +/- 109.30, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 806.83, N = 3380371427322188137801354692911065017750258191. (CXX) g++ options: -fPIC -O3 -m64 -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP tConvolveCuda 2015-11-10Processing: DegriddingRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20707K14K21K28K35KMin: 38036.6 / Avg: 38036.6 / Max: 38036.6Min: 14013.5 / Avg: 14273 / Max: 14792Min: 13312.8 / Avg: 13779.93 / Max: 14013.5Min: 13312.8 / Avg: 13546.37 / Max: 14013.5Min: 9181.24 / Avg: 9290.54 / Max: 9509.14Min: 10650.2 / Avg: 10650.2 / Max: 10650.2Min: 17750.4 / Avg: 17750.4 / Max: 17750.4Min: 24205.1 / Avg: 25818.77 / Max: 26625.61. (CXX) g++ options: -fPIC -O3 -m64 -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

CUDA Mini-Nbody

OpenBenchmarking.orgSeconds, Fewer Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20701224364860SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.04, N = 311.2232.7621.2331.9139.6951.7145.9033.5517.71
OpenBenchmarking.orgSeconds, Fewer Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20701020304050Min: 11.13 / Avg: 11.22 / Max: 11.36Min: 32.68 / Avg: 32.76 / Max: 32.84Min: 21.13 / Avg: 21.23 / Max: 21.41Min: 31.86 / Avg: 31.91 / Max: 31.94Min: 39.66 / Avg: 39.69 / Max: 39.72Min: 51.67 / Avg: 51.71 / Max: 51.79Min: 45.56 / Avg: 45.9 / Max: 46.25Min: 32.93 / Avg: 33.55 / Max: 33.99Min: 17.64 / Avg: 17.71 / Max: 17.77

OpenBenchmarking.orgWatts, Fewer Is BetterCUDA Mini-Nbody 2015-11-10System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207070140210280350Min: 101.7 / Avg: 291.2 / Max: 393Min: 137.4 / Avg: 283.52 / Max: 306.4Min: 167.1 / Avg: 312.36 / Max: 369.9Min: 179.2 / Avg: 282.55 / Max: 312.9Min: 125.3 / Avg: 258.33 / Max: 276.4Min: 279 / Avg: 295.27 / Max: 300.3Min: 110.9 / Avg: 287.91 / Max: 313.7Min: 198.9 / Avg: 344.61 / Max: 382.3Min: 179 / Avg: 277.58 / Max: 305.7

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207090180270360450SE +/- 4.94, N = 3SE +/- 0.28, N = 3SE +/- 0.98, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 4.87, N = 3SE +/- 0.93, N = 3428190265185158152295
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207080160240320400Min: 420.9 / Avg: 427.7 / Max: 437.3Min: 189.7 / Avg: 190.03 / Max: 190.6Min: 263.3 / Avg: 265.27 / Max: 266.3Min: 184.4 / Avg: 184.73 / Max: 185.3Min: 158.1 / Avg: 158.27 / Max: 158.5Min: 147 / Avg: 151.97 / Max: 161.7Min: 293.3 / Avg: 295.03 / Max: 296.5

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.38480.76961.15441.53921.9241.710.810.930.760.690.481.29

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 102.9 / Avg: 249.44 / Max: 398.5Min: 133.9 / Avg: 235.46 / Max: 308.2Min: 128.1 / Avg: 284.31 / Max: 376Min: 124.9 / Avg: 242.2 / Max: 307Min: 125.5 / Avg: 230.02 / Max: 273.2Min: 144.3 / Avg: 318.58 / Max: 383.5Min: 96.1 / Avg: 229.19 / Max: 310.5

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207060120180240300SE +/- 0.52, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.60, N = 3SE +/- 0.35, N = 3276141207136124123181
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207050100150200250Min: 275.4 / Avg: 276.27 / Max: 277.2Min: 140.8 / Avg: 140.9 / Max: 141.1Min: 206.9 / Avg: 207.03 / Max: 207.2Min: 136.1 / Avg: 136.17 / Max: 136.2Min: 123.7 / Avg: 123.8 / Max: 123.9Min: 121.5 / Avg: 122.67 / Max: 123.5Min: 180.6 / Avg: 181.17 / Max: 181.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.22280.44560.66840.89121.1140.990.570.760.570.530.400.71

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 104.2 / Avg: 279.93 / Max: 400.8Min: 94 / Avg: 248.88 / Max: 305.1Min: 110.9 / Avg: 271.47 / Max: 375.5Min: 100.5 / Avg: 240.85 / Max: 305.9Min: 134.3 / Avg: 235.05 / Max: 274.2Min: 110.8 / Avg: 305.55 / Max: 380.1Min: 96.4 / Avg: 253.4 / Max: 312

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20709001800270036004500SE +/- 5.30, N = 3SE +/- 2.12, N = 3SE +/- 2.34, N = 3SE +/- 0.64, N = 3SE +/- 0.98, N = 3SE +/- 0.48, N = 3SE +/- 2.27, N = 3SE +/- 0.59, N = 3SE +/- 5.17, N = 3433018562635177315491045120316482714
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20708001600240032004000Min: 4319.7 / Avg: 4329.5 / Max: 4337.9Min: 1852.1 / Avg: 1856.33 / Max: 1858.7Min: 2631.3 / Avg: 2635.43 / Max: 2639.4Min: 1772.2 / Avg: 1773.03 / Max: 1774.3Min: 1547.5 / Avg: 1549.17 / Max: 1550.9Min: 1043.9 / Avg: 1044.87 / Max: 1045.4Min: 1199.7 / Avg: 1202.63 / Max: 1207.1Min: 1646.9 / Avg: 1647.63 / Max: 1648.8Min: 2705.9 / Avg: 2714.27 / Max: 2723.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20704812162016.398.7910.907.417.504.374.846.0111.38

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207070140210280350Min: 139.9 / Avg: 264.23 / Max: 398Min: 137.1 / Avg: 211.28 / Max: 282.8Min: 112.5 / Avg: 241.74 / Max: 360.8Min: 140.1 / Avg: 239.23 / Max: 301.2Min: 91.3 / Avg: 206.58 / Max: 261.8Min: 138.5 / Avg: 238.83 / Max: 290.6Min: 142.1 / Avg: 248.35 / Max: 303.8Min: 111.2 / Avg: 273.97 / Max: 376.8Min: 140.1 / Avg: 238.56 / Max: 305.1

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20707001400210028003500SE +/- 5.44, N = 3SE +/- 0.65, N = 3SE +/- 1.49, N = 3SE +/- 0.85, N = 3SE +/- 0.80, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 2.34, N = 3SE +/- 4.62, N = 332771746249916601504998114615752110
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20706001200180024003000Min: 3269.1 / Avg: 3277.13 / Max: 3287.5Min: 1744.6 / Avg: 1745.9 / Max: 1746.6Min: 2497.5 / Avg: 2499.13 / Max: 2502.1Min: 1659.1 / Avg: 1660 / Max: 1661.7Min: 1502.2 / Avg: 1503.73 / Max: 1504.9Min: 997.6 / Avg: 997.97 / Max: 998.5Min: 1146.3 / Avg: 1146.33 / Max: 1146.4Min: 1570.5 / Avg: 1574.9 / Max: 1578.5Min: 2101 / Avg: 2110.17 / Max: 2115.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070369121511.397.359.397.696.954.254.525.009.07

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207070140210280350Min: 146.4 / Avg: 287.83 / Max: 399.7Min: 140.8 / Avg: 237.52 / Max: 288Min: 173.7 / Avg: 266.19 / Max: 367.3Min: 141 / Avg: 215.98 / Max: 281Min: 160.5 / Avg: 216.33 / Max: 256.6Min: 141.7 / Avg: 234.98 / Max: 287.4Min: 168.7 / Avg: 253.88 / Max: 296.7Min: 207.4 / Avg: 314.76 / Max: 370.5Min: 94.9 / Avg: 232.75 / Max: 306.7

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20702004006008001000SE +/- 2.13, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.67, N = 3SE +/- 1.26, N = 3SE +/- 0.51, N = 3986454622448374371641
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20702004006008001000Min: 984.2 / Avg: 986.43 / Max: 990.7Min: 453.2 / Avg: 453.77 / Max: 454.4Min: 622.1 / Avg: 622.23 / Max: 622.4Min: 447.5 / Avg: 447.9 / Max: 448.2Min: 372.6 / Avg: 373.8 / Max: 374.9Min: 369.5 / Avg: 371 / Max: 373.5Min: 639.7 / Avg: 640.7 / Max: 641.4

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.7291.4582.1872.9163.6453.241.751.961.701.531.142.46

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 99.4 / Avg: 304.21 / Max: 401.7Min: 136.4 / Avg: 259.54 / Max: 306.2Min: 144.5 / Avg: 318.02 / Max: 375Min: 99.2 / Avg: 263.81 / Max: 307.6Min: 133.7 / Avg: 244.62 / Max: 274.7Min: 151.6 / Avg: 325.99 / Max: 388Min: 136.9 / Avg: 260.13 / Max: 307.7

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 2070306090120150SE +/- 0.81, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.72, N = 3123.0053.8372.1752.9343.9042.6385.20
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207020406080100Min: 121.8 / Avg: 123.1 / Max: 124.6Min: 53.6 / Avg: 53.83 / Max: 54Min: 72 / Avg: 72.17 / Max: 72.3Min: 52.8 / Avg: 52.93 / Max: 53Min: 43.7 / Avg: 43.9 / Max: 44Min: 42.3 / Avg: 42.63 / Max: 42.8Min: 83.9 / Avg: 85.2 / Max: 86.4

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.11250.2250.33750.450.56250.500.220.270.220.200.150.40

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 140.1 / Avg: 247.2 / Max: 404Min: 132.4 / Avg: 241.44 / Max: 307.7Min: 99.4 / Avg: 272.26 / Max: 380.7Min: 138.9 / Avg: 243.51 / Max: 311.7Min: 132.4 / Avg: 221.97 / Max: 272.5Min: 108 / Avg: 278.24 / Max: 380.9Min: 92.5 / Avg: 210.62 / Max: 301.7

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20704080120160200SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3204.0092.97131.2789.3377.1378.27138.33
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20704080120160200Min: 204 / Avg: 204.1 / Max: 204.2Min: 92.8 / Avg: 92.97 / Max: 93.1Min: 130.9 / Avg: 131.27 / Max: 131.5Min: 89.1 / Avg: 89.33 / Max: 89.5Min: 76.9 / Avg: 77.13 / Max: 77.4Min: 77.2 / Avg: 78.27 / Max: 79Min: 138 / Avg: 138.33 / Max: 138.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.1530.3060.4590.6120.7650.680.370.420.370.340.240.55

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 101.9 / Avg: 299.78 / Max: 396.1Min: 92.5 / Avg: 248.1 / Max: 296.9Min: 190.3 / Avg: 310.17 / Max: 375.6Min: 112.1 / Avg: 242.95 / Max: 294.5Min: 91.5 / Avg: 229.25 / Max: 265.4Min: 206.8 / Avg: 322.78 / Max: 378.7Min: 138.7 / Avg: 249.29 / Max: 302.5

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 2070306090120150SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.37, N = 3SE +/- 9.08, N = 3150.0082.77119.2779.0371.7072.8390.67
OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 2070306090120150Min: 149.9 / Avg: 150.43 / Max: 151.1Min: 82.7 / Avg: 82.77 / Max: 82.8Min: 119 / Avg: 119.27 / Max: 119.4Min: 79 / Avg: 79.03 / Max: 79.1Min: 71.5 / Avg: 71.7 / Max: 71.9Min: 72.1 / Avg: 72.83 / Max: 73.3Min: 72.5 / Avg: 90.67 / Max: 99.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 20700.1080.2160.3240.4320.540.480.330.390.320.310.230.35

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX TITAN XRTX 207070140210280350Min: 101.7 / Avg: 311.29 / Max: 404.4Min: 132.8 / Avg: 251.17 / Max: 299.3Min: 139.5 / Avg: 308.82 / Max: 375Min: 99.1 / Avg: 248.3 / Max: 292.9Min: 93.5 / Avg: 228.29 / Max: 264.8Min: 145.5 / Avg: 317.87 / Max: 381.9Min: 92.7 / Avg: 262.66 / Max: 313.7

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenCL TPACFRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20700.35780.71561.07341.43121.789SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 30.821.210.931.201.241.591.551.491.031. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenCL TPACFRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 2070246810Min: 0.74 / Avg: 0.82 / Max: 0.96Min: 1.15 / Avg: 1.21 / Max: 1.31Min: 0.88 / Avg: 0.93 / Max: 1Min: 1.17 / Avg: 1.2 / Max: 1.26Min: 1.22 / Avg: 1.24 / Max: 1.3Min: 1.54 / Avg: 1.59 / Max: 1.67Min: 1.51 / Avg: 1.55 / Max: 1.58Min: 1.37 / Avg: 1.49 / Max: 1.6Min: 0.99 / Avg: 1.03 / Max: 1.11. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 20701632486480Min: 38 / Avg: 58.82 / Max: 74Min: 37 / Avg: 61.56 / Max: 77Min: 39 / Avg: 66.34 / Max: 79Min: 38 / Avg: 54.27 / Max: 66Min: 34 / Avg: 61.6 / Max: 74Min: 30 / Avg: 44.97 / Max: 71Min: 37 / Avg: 56.32 / Max: 81Min: 41 / Avg: 76.41 / Max: 85Min: 34 / Avg: 54.61 / Max: 65

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiGTX 1070GTX 970GTX 980GTX TITAN XRTX 207070140210280350Min: 95.3 / Avg: 264.13 / Max: 406.6Min: 91 / Avg: 211.98 / Max: 308.2Min: 94 / Avg: 268 / Max: 380.7Min: 96.8 / Avg: 223.4 / Max: 312.9Min: 91.3 / Avg: 209.2 / Max: 276.4Min: 95.8 / Avg: 176.17 / Max: 300.3Min: 93.6 / Avg: 176.4 / Max: 313.7Min: 104.9 / Avg: 294.18 / Max: 388Min: 91.4 / Avg: 214.35 / Max: 313.7

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: FFT SPRX Vega 56RX Vega 64RX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.52431.04861.57292.09722.62152.331.791.831.201.311.411.331.851. RX Vega 56: $399 reported cost.2. RX Vega 64: $519 reported cost.3. RX 580: $299 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. GTX 1080: $499 reported cost.6. GTX 1080 Ti: $699 reported cost.7. GTX 1070 Ti: $419 reported cost.8. RTX 2070: $549 reported cost.

OpenBenchmarking.orgGHash/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: MD5 HashRX Vega 56RX Vega 64RX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.0090.0180.0270.0360.0450.030.030.030.030.030.030.030.041. RX Vega 56: $399 reported cost.2. RX Vega 64: $519 reported cost.3. RX 580: $299 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. GTX 1080: $499 reported cost.6. GTX 1080 Ti: $699 reported cost.7. GTX 1070 Ti: $419 reported cost.8. RTX 2070: $549 reported cost.

clpeak

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTRX Vega 56RX Vega 64RX 580RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 2070481216204.974.824.1912.244.894.715.5814.851. RX Vega 56: $399 reported cost.2. RX Vega 64: $519 reported cost.3. RX 580: $299 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. GTX 1080: $499 reported cost.6. GTX 1080 Ti: $699 reported cost.7. GTX 1070 Ti: $419 reported cost.8. RTX 2070: $549 reported cost.

ASKAP tConvolveCuda

OpenBenchmarking.orgMillion Grid Points Per Second Per Dollar, More Is BetterASKAP tConvolveCuda 2015-11-10Performance / Cost - Processing: DegriddingRTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 2070112233445531.7228.6031.7432.8947.031. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: ResNet-50, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.12150.2430.36450.4860.60750.360.380.380.440.541. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: ResNet-50, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.07430.14860.22290.29720.37150.230.280.300.320.331. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: AlexNet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20701.11152.2233.33454.4465.55753.613.723.774.234.941. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: AlexNet, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.8911.7822.6733.5644.4552.733.503.583.963.841. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: Googlenet, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.26330.52660.78991.05321.31650.820.910.891.071.171. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: Inception v4, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.0360.0720.1080.1440.180.100.110.100.130.161. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: VGG-16, FP16RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.05630.11260.16890.22520.28150.170.190.190.210.251. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: VGG-16, FP32RTX 2080 TiGTX 1080GTX 1080 TiGTX 1070 TiRTX 20700.04280.08560.12840.17120.2140.130.170.170.190.171. RTX 2080 Ti: $1199 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. GTX 1070 Ti: $419 reported cost.5. RTX 2070: $549 reported cost.

47 Results Shown

SHOC Scalable HeterOgeneous Computing:
  OpenCL - FFT SP
  OpenCL - MD5 Hash
clpeak
Chaos Group V-RAY
Chaos Group V-RAY
ASKAP tConvolveCuda
CUDA Mini-Nbody
CUDA Mini-Nbody
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  ResNet-50, FP16
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  ResNet-50, FP32
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  AlexNet, FP16
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  AlexNet, FP32
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  Googlenet, FP16
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  Inception v4, FP16
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  VGG-16, FP16
  System Power Consumption Monitor
NVIDIA GPU Cloud TensorFlow
NVIDIA GPU Cloud TensorFlow:
  VGG-16, FP32
  System Power Consumption Monitor
Parboil
GPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
  Performance / Cost - OpenCL - FFT SP:
    GFLOPS Per Dollar
  Performance / Cost - OpenCL - MD5 Hash:
    GHash/s Per Dollar
  Performance / Cost - Integer Compute INT:
    GIOPS Per Dollar
  Performance / Cost - Degridding:
    Million Grid Points Per Second Per Dollar
  Performance / Cost - ResNet-50, FP16:
    Images Per Second Per Dollar
  Performance / Cost - ResNet-50, FP32:
    Images Per Second Per Dollar
  Performance / Cost - AlexNet, FP16:
    Images Per Second Per Dollar
  Performance / Cost - AlexNet, FP32:
    Images Per Second Per Dollar
  Performance / Cost - Googlenet, FP16:
    Images Per Second Per Dollar
  Performance / Cost - Inception v4, FP16:
    Images Per Second Per Dollar
  Performance / Cost - VGG-16, FP16:
    Images Per Second Per Dollar
  Performance / Cost - VGG-16, FP32:
    Images Per Second Per Dollar

RX Vega 56

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 17 October 2018 16:08 by user phoronix.

RX Vega 64

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX Vega 8GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), OpenCL: OpenCL 2.1 AMD-APP (2679.0), Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 17 October 2018 18:00 by user phoronix.

R9 Fury

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: Sapphire AMD Radeon 4GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), OpenCL: OpenCL 2.1 AMD-APP (2679.0), Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 17 October 2018 18:50 by user phoronix.

RX 580

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: MSI AMD Radeon RX 580 8GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), OpenCL: OpenCL 2.1 AMD-APP (2679.0), Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 17 October 2018 20:05 by user phoronix.

RTX 2080 Ti

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 4352
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 07:42 by user phoronix.

GTX 1080

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce GTX 1080 8GB (1607/5005MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 2560
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 08:26 by user phoronix.

GTX 1080 Ti

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 3584
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 09:34 by user phoronix.

GTX 1070 Ti

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 2432
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 10:26 by user phoronix.

GTX 1070

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce GTX 1070 8GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 1920
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 11:12 by user phoronix.

GTX 970

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 1664
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 12:52 by user phoronix.

GTX 980

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce GTX 980 4GB (1126/3505MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 2048
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 13:56 by user phoronix.

GTX TITAN X

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 3072
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 14:51 by user phoronix.

RTX 2070

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1402 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 Gigabit Connection

OS: Ubuntu 18.04, Kernel: 4.18.0-041800-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 410.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.175, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
OpenCL Notes: GPU Compute Cores: 2304
Python Notes: Python 2.7.15rc1 + Python 3.6.6
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 18 October 2018 15:44 by user phoronix.