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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Result
Identifier
Performance Per
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Date
Run
  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 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

R9 Fury

Changed Graphics to Sapphire AMD Radeon 4GB.

RX Vega 56

RX Vega 64

Changed Graphics to AMD Radeon RX Vega 8GB.

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

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

GTX 1070

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

OpenCL Change: GPU Compute Cores: 1920

GTX 1070 Ti

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

OpenCL Change: GPU Compute Cores: 2432

GTX 1080

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

OpenCL Change: GPU Compute Cores: 2560

GTX 1080 Ti

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

OpenCL Change: GPU Compute Cores: 3584

RTX 2070

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

OpenCL Change: GPU Compute Cores: 2304

RTX 2080 Ti

Changed Graphics to NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz).

OpenCL Change: GPU Compute Cores: 4352

NVIDIA GeForce RTX 2070 Linux Compute BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRX 580R9 FuryRX Vega 56RX Vega 64GTX 970GTX 980GTX TITAN XGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 TiAMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads)ASUS ROG ZENITH EXTREME (1402 BIOS)AMD Family 17h32768MBSamsung SSD 970 EVO 500GBMSI AMD Radeon RX 580 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 4GBAMD Radeon RX Vega 8GBeVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA 410.664.6.0OpenCL 1.2 CUDA 10.0.175GCC 7.3.0 + CUDA 10.0NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)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)eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)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- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX TITAN X: GPU Compute Cores: 3072- 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- RTX 2070: GPU Compute Cores: 2304- RTX 2080 Ti: GPU Compute Cores: 4352Python Details- GTX 970, GTX 980, GTX TITAN X, GTX 1070, GTX 1070 Ti, GTX 1080, GTX 1080 Ti, RTX 2070: Python 2.7.15rc1 + Python 3.6.6

RX 580R9 FuryRX Vega 56RX Vega 64GTX 970GTX 980GTX TITAN XGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 TiResult 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 Benchmarksclpeak: Integer Compute INTcuda-mini-nbody: Originalngc-tensorflow: ResNet-50, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: AlexNet, FP16ngc-tensorflow: AlexNet, FP32ngc-tensorflow: Googlenet, FP16shoc: OpenCL - MD5 Hashparboil: OpenCL TPACFaskap: Degriddingv-ray: CUDA GPUngc-tensorflow: VGG-16, FP16ngc-tensorflow: VGG-16, FP32ngc-tensorflow: Inception v4, FP16shoc: OpenCL - FFT SPRX 580R9 FuryRX Vega 56RX Vega 64GTX 970GTX 980GTX TITAN XGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti12538.0654614309.20821198412.41929250216.43931114251.7110459986.471.599291120.57407131445.90120311467.491.5510650107.78459180533.551521231648157537110.301.491775078.7278.2772.8342.63726171039.691581241549150437410.671.241354687.9977.1371.7043.90550233931.911851361773166044813.661.201378083.0389.3379.0352.93556243932.761901411856174645414.311.211427383.4192.9782.7753.83654329221.232652072635249962219.960.932218866.85131.27119.2772.17983815017.712951812714211064119.281.032581966.55138.3390.6785.2010151467911.224282764330327798634.870.823803753.912041501231443OpenBenchmarking.org

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 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XR9 FuryRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 643K6K9K12K15KSE +/- 6.94, N = 3SE +/- 28.40, N = 3SE +/- 23.15, N = 3SE +/- 104.07, N = 3SE +/- 17.17, N = 3SE +/- 3.45, N = 3SE +/- 19.05, N = 3SE +/- 0.08, N = 3SE +/- 495.02, N = 3SE +/- 947.36, N = 3SE +/- 0.03, N = 3SE +/- 1.34, N = 3SE +/- 2.43, N = 317102339243932921142131418051430815014679125319842502

CUDA Mini-Nbody

OpenBenchmarking.orgSeconds, Fewer Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti1224364860SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 339.6931.9132.7621.2351.7145.9033.5517.7111.22

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, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti90180270360450SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.28, N = 3SE +/- 0.98, N = 3SE +/- 4.87, N = 3SE +/- 0.93, N = 3SE +/- 4.94, N = 3158185190265152295428

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti60120180240300SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.60, N = 3SE +/- 0.35, N = 3SE +/- 0.52, N = 3124136141207123181276

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti9001800270036004500SE +/- 0.98, N = 3SE +/- 0.64, N = 3SE +/- 2.12, N = 3SE +/- 2.34, N = 3SE +/- 0.48, N = 3SE +/- 2.27, N = 3SE +/- 0.59, N = 3SE +/- 5.17, N = 3SE +/- 5.30, N = 3154917731856263510451203164827144330

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti7001400210028003500SE +/- 0.80, N = 3SE +/- 0.85, N = 3SE +/- 0.65, N = 3SE +/- 1.49, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 2.34, N = 3SE +/- 4.62, N = 3SE +/- 5.44, N = 315041660174624999981146157521103277

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti2004006008001000SE +/- 0.67, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 1.26, N = 3SE +/- 0.51, N = 3SE +/- 2.13, N = 3374448454622371641986

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 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XR9 FuryRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 64816243240SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.6713.6614.3119.966.477.4910.309.2019.2834.878.0612.4116.431. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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 TPACFGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti0.35780.71561.07341.43121.789SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 31.241.201.210.931.591.551.491.030.821. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

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: DegriddingGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti8K16K24K32K40KSE +/- 233.57, N = 3SE +/- 233.57, N = 3SE +/- 259.50, N = 3SE +/- 109.30, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 806.83, N = 3SE +/- 0.00, N = 3135461378014273221889291106501775025819380371. (CXX) g++ options: -fPIC -O3 -m64 -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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 GPUGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti306090120150SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 387.9983.0383.4166.85120.57107.7878.7266.5553.91

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: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti4080120160200SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 377.1389.3392.97131.2778.27138.33204.00

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti306090120150SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.37, N = 3SE +/- 9.08, N = 3SE +/- 0.35, N = 371.7079.0382.77119.2772.8390.67150.00

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti306090120150SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.72, N = 3SE +/- 0.81, N = 343.9052.9353.8372.1742.6385.20123.00

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 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XR9 FuryRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 6430060090012001500SE +/- 1.15, N = 3SE +/- 0.37, N = 3SE +/- 0.71, N = 3SE +/- 1.62, N = 3SE +/- 1.04, N = 3SE +/- 0.36, N = 3SE +/- 1.00, N = 3SE +/- 0.06, N = 3SE +/- 24.94, N = 3SE +/- 14.55, N = 3SE +/- 0.11, N = 3SE +/- 2.01, N = 3SE +/- 0.54, N = 3550556654983407459726821101514435469299311. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

Chaos Group V-RAY

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti60120180240300Min: 130.8 / Avg: 219.79 / Max: 228.1Min: 136 / Avg: 229.75 / Max: 241.9Min: 162.9 / Avg: 219.51 / Max: 227.5Min: 168.6 / Avg: 277.93 / Max: 303.6Min: 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: 281.6Min: 99.6 / Avg: 298.13 / Max: 341.2

CUDA Mini-Nbody

OpenBenchmarking.orgWatts, Fewer Is BetterCUDA Mini-Nbody 2015-11-10System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 125.3 / Avg: 258.33 / Max: 276.4Min: 179.2 / Avg: 282.55 / Max: 312.9Min: 137.4 / Avg: 283.52 / Max: 306.4Min: 167.1 / Avg: 312.36 / Max: 369.9Min: 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: 305.7Min: 101.7 / Avg: 291.2 / Max: 393

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.38480.76961.15441.53921.9240.690.760.810.930.481.291.71

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 125.5 / Avg: 230.02 / Max: 273.2Min: 124.9 / Avg: 242.2 / Max: 307Min: 133.9 / Avg: 235.46 / Max: 308.2Min: 128.1 / Avg: 284.31 / Max: 376Min: 144.3 / Avg: 318.58 / Max: 383.5Min: 96.1 / Avg: 229.19 / Max: 310.5Min: 102.9 / Avg: 249.44 / Max: 398.5

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.22280.44560.66840.89121.1140.530.570.570.760.400.710.99

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 134.3 / Avg: 235.05 / Max: 274.2Min: 100.5 / Avg: 240.85 / Max: 305.9Min: 94 / Avg: 248.88 / Max: 305.1Min: 110.9 / Avg: 271.47 / Max: 375.5Min: 110.8 / Avg: 305.55 / Max: 380.1Min: 96.4 / Avg: 253.4 / Max: 312Min: 104.2 / Avg: 279.93 / Max: 400.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti481216207.507.418.7910.904.374.846.0111.3816.39

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 91.3 / Avg: 206.58 / Max: 261.8Min: 140.1 / Avg: 239.23 / Max: 301.2Min: 137.1 / Avg: 211.28 / Max: 282.8Min: 112.5 / Avg: 241.74 / Max: 360.8Min: 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: 305.1Min: 139.9 / Avg: 264.23 / Max: 398

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti36912156.957.697.359.394.254.525.009.0711.39

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 160.5 / Avg: 216.33 / Max: 256.6Min: 141 / Avg: 215.98 / Max: 281Min: 140.8 / Avg: 237.52 / Max: 288Min: 173.7 / Avg: 266.19 / Max: 367.3Min: 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: 306.7Min: 146.4 / Avg: 287.83 / Max: 399.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.7291.4582.1872.9163.6451.531.701.751.961.142.463.24

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 133.7 / Avg: 244.62 / Max: 274.7Min: 99.2 / Avg: 263.81 / Max: 307.6Min: 136.4 / Avg: 259.54 / Max: 306.2Min: 144.5 / Avg: 318.02 / Max: 375Min: 151.6 / Avg: 325.99 / Max: 388Min: 136.9 / Avg: 260.13 / Max: 307.7Min: 99.4 / Avg: 304.21 / Max: 401.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.11250.2250.33750.450.56250.200.220.220.270.150.400.50

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 132.4 / Avg: 221.97 / Max: 272.5Min: 138.9 / Avg: 243.51 / Max: 311.7Min: 132.4 / Avg: 241.44 / Max: 307.7Min: 99.4 / Avg: 272.26 / Max: 380.7Min: 108 / Avg: 278.24 / Max: 380.9Min: 92.5 / Avg: 210.62 / Max: 301.7Min: 140.1 / Avg: 247.2 / Max: 404

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.1530.3060.4590.6120.7650.340.370.370.420.240.550.68

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 91.5 / Avg: 229.25 / Max: 265.4Min: 112.1 / Avg: 242.95 / Max: 294.5Min: 92.5 / Avg: 248.1 / Max: 296.9Min: 190.3 / Avg: 310.17 / Max: 375.6Min: 206.8 / Avg: 322.78 / Max: 378.7Min: 138.7 / Avg: 249.29 / Max: 302.5Min: 101.9 / Avg: 299.78 / Max: 396.1

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti0.1080.2160.3240.4320.540.310.320.330.390.230.350.48

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 93.5 / Avg: 228.29 / Max: 264.8Min: 99.1 / Avg: 248.3 / Max: 292.9Min: 132.8 / Avg: 251.17 / Max: 299.3Min: 139.5 / Avg: 308.82 / Max: 375Min: 145.5 / Avg: 317.87 / Max: 381.9Min: 92.7 / Avg: 262.66 / Max: 313.7Min: 101.7 / Avg: 311.29 / Max: 404.4

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti1632486480Min: 34 / Avg: 61.6 / Max: 74Min: 38 / Avg: 54.27 / Max: 66Min: 37 / Avg: 61.56 / Max: 77Min: 39 / Avg: 66.34 / Max: 79Min: 30 / Avg: 44.97 / Max: 71Min: 37 / Avg: 56.32 / Max: 81Min: 41 / Avg: 76.41 / Max: 85Min: 34 / Avg: 54.61 / Max: 65Min: 38 / Avg: 58.82 / Max: 74

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiGTX 970GTX 980GTX TITAN XRTX 2070RTX 2080 Ti70140210280350Min: 91.3 / Avg: 209.2 / Max: 276.4Min: 96.8 / Avg: 223.4 / Max: 312.9Min: 91 / Avg: 211.98 / Max: 308.2Min: 94 / Avg: 268 / Max: 380.7Min: 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: 313.7Min: 95.3 / Avg: 264.13 / Max: 406.6

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: FFT SPGTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 640.52431.04861.57292.09722.62151.331.311.411.851.201.832.331.791. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.6. RX 580: $299 reported cost.7. RX Vega 56: $399 reported cost.8. RX Vega 64: $519 reported cost.

OpenBenchmarking.orgGHash/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: MD5 HashGTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 640.0090.0180.0270.0360.0450.030.030.030.040.030.030.030.031. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.6. RX 580: $299 reported cost.7. RX Vega 56: $399 reported cost.8. RX Vega 64: $519 reported cost.

clpeak

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTGTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 TiRX 580RX Vega 56RX Vega 64481216205.584.894.7114.8512.244.194.974.821. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.6. RX 580: $299 reported cost.7. RX Vega 56: $399 reported cost.8. RX Vega 64: $519 reported cost.

ASKAP tConvolveCuda

OpenBenchmarking.orgMillion Grid Points Per Second Per Dollar, More Is BetterASKAP tConvolveCuda 2015-11-10Performance / Cost - Processing: DegriddingGTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti112233445532.8928.6031.7447.0331.721. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: ResNet-50, FP16GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.12150.2430.36450.4860.60750.440.380.380.540.361. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: ResNet-50, FP32GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.07430.14860.22290.29720.37150.320.280.300.330.231. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: AlexNet, FP16GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti1.11152.2233.33454.4465.55754.233.723.774.943.611. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: AlexNet, FP32GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.8911.7822.6733.5644.4553.963.503.583.842.731. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: Googlenet, FP16GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.26330.52660.78991.05321.31651.070.910.891.170.821. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: Inception v4, FP16GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.0360.0720.1080.1440.180.130.110.100.160.101. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: VGG-16, FP16GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.05630.11260.16890.22520.28150.210.190.190.250.171. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

OpenBenchmarking.orgImages Per Second Per Dollar, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Performance / Cost - Test: VGG-16, FP32GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080 Ti0.04280.08560.12840.17120.2140.190.170.170.170.131. GTX 1070 Ti: $419 reported cost.2. GTX 1080: $499 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $549 reported cost.5. RTX 2080 Ti: $1199 reported cost.

47 Results Shown

clpeak
CUDA Mini-Nbody
NVIDIA GPU Cloud TensorFlow:
  ResNet-50, FP16
  ResNet-50, FP32
  AlexNet, FP16
  AlexNet, FP32
  Googlenet, FP16
SHOC Scalable HeterOgeneous Computing
Parboil
ASKAP tConvolveCuda
Chaos Group V-RAY
NVIDIA GPU Cloud TensorFlow:
  VGG-16, FP16
  VGG-16, FP32
  Inception v4, FP16
SHOC Scalable HeterOgeneous Computing
Chaos Group V-RAY:
  System Power Consumption Monitor:
    Watts
    Watts
  ResNet-50, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  ResNet-50, FP32:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  AlexNet, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  AlexNet, FP32:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  Googlenet, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  Inception v4, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  VGG-16, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  VGG-16, FP32:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  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 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.

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 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.

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.

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 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 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.

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.

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.