NVIDIA TITAN RTX Compute

NVIDIA TITAN RTX Linux GPGPU/compute benchmarks for a future article on Phoronix.com by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1812259-PTS-NVIDIATI26
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CPU Massive 3 Tests
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NVIDIA GPU Compute 5 Tests
OpenCL 4 Tests
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Date
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  Test
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GTX 680
December 23 2018
  1 Hour, 5 Minutes
GTX 780 Ti
December 22 2018
  49 Minutes
GTX 970
December 23 2018
  49 Minutes
GTX 980
December 22 2018
  47 Minutes
GTX 980 Ti
December 23 2018
  45 Minutes
GTX TITAN X GM200
December 22 2018
  45 Minutes
GTX 1060
December 23 2018
  47 Minutes
GTX 1070
December 23 2018
  44 Minutes
GTX 1080
December 22 2018
  43 Minutes
GTX 1080 Ti
December 23 2018
  41 Minutes
RTX 2080
December 23 2018
  40 Minutes
RTX 2080 Ti
December 23 2018
  39 Minutes
TITAN RTX
December 22 2018
  40 Minutes
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  46 Minutes

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GTX 680

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 680 2GB (1006/3004MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1536
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

GTX 780 Ti

Changed Graphics to NVIDIA GeForce GTX 780 Ti 3GB (875/3500MHz).

OpenCL Change: GPU Compute Cores: 2880

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 980 Ti

Changed Graphics to NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz).

OpenCL Change: GPU Compute Cores: 2816

GTX TITAN X GM200

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

OpenCL Change: GPU Compute Cores: 3072

GTX 1060

Changed Graphics to NVIDIA GeForce GTX 1060 6GB (1506/4006MHz).

OpenCL Change: GPU Compute Cores: 1280

GTX 1070

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

OpenCL Change: GPU Compute Cores: 1920

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 2080

Changed Graphics to Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz).

OpenCL Change: GPU Compute Cores: 2944

RTX 2080 Ti

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

OpenCL Change: GPU Compute Cores: 4352

TITAN RTX

Changed Graphics to NVIDIA TITAN RTX 24GB (1350/7000MHz).

OpenCL Change: GPU Compute Cores: 4608

NVIDIA TITAN RTX ComputeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MB2000GB SABRENT + Samsung SSD 970 EVO 250GBNVIDIA GeForce GTX 680 2GB (1006/3004MHz)NVIDIA GeForce GTX 780 Ti 3GB (875/3500MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)Realtek ALC1220Acer B286HKIntel ConnectionUbuntu 18.044.19.5-041905-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6NVIDIA 415.234.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 7.3.0 + LLVM 6.0.0 + CUDA 10.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA TITAN RTX Compute BenchmarksSystem Logs- --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 - Scaling Governor: intel_pstate performance- GTX 680: GPU Compute Cores: 1536- GTX 780 Ti: GPU Compute Cores: 2880- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX 980 Ti: GPU Compute Cores: 2816- GTX TITAN X GM200: GPU Compute Cores: 3072- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- RTX 2080: GPU Compute Cores: 2944- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- Python 2.7.15rc1 + Python 3.6.7- __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

GTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXResult OverviewPhoronix Test Suite100%345%591%836%1082%OctaneBenchFAHBenchRodiniaMixbenchDarktableGROMACSParboilNAMD CUDAclpeakLuxMark

GTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXPer Watt Result OverviewPhoronix Test Suite100%224%348%472%596%LuxMarkFAHBenchOctaneBenchGROMACSP.W.G.MP.W.G.MP.W.G.MP.W.G.M

NVIDIA TITAN RTX Computedarktable: Boat - OpenCLparboil: OpenCL TPACFparboil: OpenCL LBMclpeak: Global Memory Bandwidthgromacs-gpu: Water Benchmarkclpeak: Integer Compute INTdarktable: Server Room - OpenCLrodinia: OpenCL Particle Filterfahbench: mixbench: Single Precisionmixbench: Double Precisionnamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scoreluxmark: GPU - Luxball HDRluxmark: GPU - Microphoneluxmark: GPU - HotelGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX7.324.5780.321411.685583.1922.6042.0425351402.0248035.80482533188515.303.2926.452632.729633.4615.0673.3541652460.3847610911533714521904.491.5421.901432.7511383.1013.3090.4441441370.3562496.7111718798327233.951.4120.131643.0113023.0611.8010147141590.3265111113220898230343.271.3914.052643.5316161.5210.22114.2958601970.28380143.72167781110538793.111.3613.482633.7517831.369.0312165572220.26866152172881092941353.651.4119.731472.9712951.3112.03102.9043921510.3149391.7612242696426572.871.0814.901963.7716841.108.30140.2964102230.24283133.1017289998038772.721.0622.262224.2924501.126.5415585702930.2088914813833873238232.270.7714.163295.1833661.024.97197.70116054000.19974212.18216851373255811.880.887.273685.95101990.806.17236.54110292920.19173220.39296501985565891.620.645.435056.65148400.734.45294.39161754340.18848303.71423142847691911.610.634.985286.42153980.734.26297173244600.1877332146377305289884OpenBenchmarking.org

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.611.621.883.113.273.954.495.307.322.272.722.873.65

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 TPACFTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601.02832.05663.08494.11325.1415SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 30.630.640.881.361.391.411.543.294.570.771.061.081.411. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenCL LBMTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106020406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.985.437.2713.4814.0520.1321.9026.4580.3214.1622.2614.9019.731. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060110220330440550SE +/- 1.05, N = 3SE +/- 0.74, N = 3SE +/- 0.23, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.70, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3528505368263264164143263141329222196147

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2018.3Water BenchmarkTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.426.655.953.753.533.012.752.721.685.184.293.772.971. (CXX) g++ options: -march=core-avx2 -std=c++11 -O3 -funroll-all-loops -fopenmp -lpthread -ldl -lrt -lm

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 INTTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10603K6K9K12K15KSE +/- 1168.75, N = 3SE +/- 697.03, N = 3SE +/- 652.84, N = 3SE +/- 23.76, N = 3SE +/- 21.99, N = 3SE +/- 6.22, N = 3SE +/- 18.00, N = 3SE +/- 16.34, N = 3SE +/- 1.19, N = 3SE +/- 18.09, N = 3SE +/- 11.35, N = 3SE +/- 18.17, N = 3SE +/- 2.40, N = 315398148401019917831616130211389635583366245016841295

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10600.77851.5572.33553.1143.8925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.730.730.801.361.523.063.103.463.191.021.121.101.31

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060510152025SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 34.264.456.179.0310.2211.8013.3015.0622.604.976.548.3012.031. (CXX) g++ options: -O2 -lOpenCL

FAHBench

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

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300SE +/- 0.64, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3297.00294.39236.54121.00114.29101.0090.4473.3542.04197.70155.00140.29102.90

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10604K8K12K16K20KSE +/- 8.55, N = 3SE +/- 21.81, N = 3SE +/- 1.47, N = 3SE +/- 6.28, N = 3SE +/- 1.73, N = 3SE +/- 4.70, N = 3SE +/- 0.45, N = 3SE +/- 3.73, N = 3SE +/- 1.39, N = 3SE +/- 548.77, N = 3SE +/- 9.71, N = 3SE +/- 48.40, N = 3SE +/- 0.64, N = 3173241617511029655758604714414441652535116058570641043921. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060100200300400500SE +/- 8.49, N = 3SE +/- 0.06, N = 3SE +/- 2.01, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.54, N = 3SE +/- 0.60, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 19.15, N = 3SE +/- 1.76, N = 3SE +/- 0.29, N = 3SE +/- 0.36, N = 34604342922221971591372461404002932231511. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

NAMD CUDA

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10600.45560.91121.36681.82242.278SE +/- 0.00154, N = 3SE +/- 0.00093, N = 3SE +/- 0.00151, N = 3SE +/- 0.00310, N = 3SE +/- 0.00149, N = 3SE +/- 0.00050, N = 3SE +/- 0.00115, N = 3SE +/- 0.00335, N = 3SE +/- 0.00740, N = 3SE +/- 0.00185, N = 3SE +/- 0.00033, N = 3SE +/- 0.00143, N = 3SE +/- 0.00245, N = 30.187730.188480.191730.268660.283800.326510.356240.384762.024800.199740.208890.242830.31493

OctaneBench

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

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106070140210280350321.00303.71220.39152.00143.72111.0096.71109.0035.80212.18148.00133.1091.76

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106010K20K30K40K50KSE +/- 231.35, N = 3SE +/- 82.86, N = 3SE +/- 11.86, N = 3SE +/- 1.33, N = 3SE +/- 15.76, N = 3SE +/- 3.61, N = 3SE +/- 10.84, N = 3SE +/- 51.10, N = 3SE +/- 15.90, N = 3SE +/- 10.84, N = 3SE +/- 40.83, N = 3SE +/- 2.00, N = 3SE +/- 5.17, N = 34637742314296501728816778132201171811533482521685138331728912242

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10607K14K21K28K35KSE +/- 39.86, N = 3SE +/- 18.48, N = 3SE +/- 30.23, N = 3SE +/- 20.28, N = 3SE +/- 23.78, N = 3SE +/- 40.54, N = 3SE +/- 1.86, N = 3SE +/- 30.33, N = 3SE +/- 5.33, N = 3SE +/- 12.67, N = 3SE +/- 15.59, N = 3SE +/- 1.20, N = 33052828476198551092911105898279837145331813732873299806964

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10602K4K6K8K10KSE +/- 38.04, N = 3SE +/- 15.93, N = 3SE +/- 1.15, N = 3SE +/- 31.83, N = 3SE +/- 10.50, N = 3SE +/- 6.23, N = 3SE +/- 2.67, N = 3SE +/- 4.00, N = 3SE +/- 6.01, N = 3SE +/- 18.33, N = 3SE +/- 8.21, N = 3SE +/- 8.41, N = 3988491916589413538793034272321908515581382338772657

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10600.22950.4590.68850.9181.14751.021.010.960.660.670.660.630.430.200.940.920.900.80

OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 4.00GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 37 / Avg: 71.03 / Max: 77Min: 34 / Avg: 68.08 / Max: 75Min: 38 / Avg: 75.21 / Max: 83Min: 49 / Avg: 78.6 / Max: 83Min: 46 / Avg: 76.56 / Max: 81Min: 42 / Avg: 70.42 / Max: 78Min: 34 / Avg: 53.66 / Max: 58Min: 50 / Avg: 77.49 / Max: 81Min: 46 / Avg: 73.49 / Max: 77Min: 45 / Avg: 71.21 / Max: 76Min: 40 / Avg: 64.51 / Max: 70Min: 38 / Avg: 62.99 / Max: 69Min: 37 / Avg: 56.47 / Max: 60

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300Min: 46.6 / Avg: 315.28 / Max: 350Min: 45.3 / Avg: 299.31 / Max: 329.8Min: 77 / Avg: 230.22 / Max: 269.5Min: 54 / Avg: 230.17 / Max: 258.6Min: 51.2 / Avg: 214.75 / Max: 243.1Min: 47.5 / Avg: 168.73 / Max: 191.8Min: 46.7 / Avg: 153.05 / Max: 214.5Min: 51.7 / Avg: 254.01 / Max: 275.1Min: 52.5 / Avg: 182.48 / Max: 212.3Min: 64 / Avg: 226.55 / Max: 252.1Min: 41.9 / Avg: 161.36 / Max: 183Min: 41.6 / Avg: 148.64 / Max: 170Min: 40 / Avg: 115.29 / Max: 177

NAMD CUDA

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.13GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 54 / Avg: 58.93 / Max: 64Min: 61 / Avg: 64.29 / Max: 66Min: 67 / Avg: 69.38 / Max: 72Min: 69 / Avg: 76.22 / Max: 82Min: 69 / Avg: 74.67 / Max: 79Min: 65 / Avg: 74.6 / Max: 78Min: 44 / Avg: 55.64 / Max: 62Min: 69 / Avg: 75.17 / Max: 80Min: 65 / Avg: 74.48 / Max: 76Min: 65 / Avg: 68.86 / Max: 72Min: 61 / Avg: 65.14 / Max: 68Min: 60 / Avg: 64 / Max: 67Min: 51 / Avg: 59.4 / Max: 64

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106070140210280350Min: 52.4 / Avg: 209.26 / Max: 364.2Min: 50.7 / Avg: 249.46 / Max: 376Min: 48.5 / Avg: 263.5 / Max: 339.3Min: 52.6 / Avg: 316.4 / Max: 381.9Min: 52.5 / Avg: 302.56 / Max: 361.6Min: 48.1 / Avg: 265.81 / Max: 321.7Min: 47.7 / Avg: 247.44 / Max: 308.2Min: 51.9 / Avg: 330.2 / Max: 403Min: 51.5 / Avg: 264.88 / Max: 273.6Min: 53.4 / Avg: 280.69 / Max: 372.1Min: 43.3 / Avg: 235.74 / Max: 317.8Min: 169.7 / Avg: 243.01 / Max: 279.3Min: 41.6 / Avg: 209.4 / Max: 260.2

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10600.30830.61660.92491.23321.54151.371.371.310.640.610.650.620.340.261.051.000.970.85

OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601530456075Min: 40 / Avg: 54.98 / Max: 67Min: 44 / Avg: 56.67 / Max: 67Min: 48 / Avg: 64 / Max: 76Min: 58 / Avg: 69.48 / Max: 79Min: 59 / Avg: 69.03 / Max: 77Min: 53 / Avg: 63.19 / Max: 72Min: 36 / Avg: 47.03 / Max: 55Min: 55 / Avg: 66.7 / Max: 76Min: 58 / Avg: 68.78 / Max: 76Min: 50 / Avg: 61.9 / Max: 72Min: 47 / Avg: 58.51 / Max: 67Min: 48 / Avg: 58.17 / Max: 67Min: 41 / Avg: 51.72 / Max: 61

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300Min: 71.5 / Avg: 216.97 / Max: 307.4Min: 48.3 / Avg: 215.05 / Max: 315.1Min: 44.3 / Avg: 180.63 / Max: 260.2Min: 79.2 / Avg: 188.72 / Max: 251.2Min: 77.5 / Avg: 186.46 / Max: 236.1Min: 71.8 / Avg: 154.93 / Max: 207.1Min: 71.9 / Avg: 147.03 / Max: 186.3Min: 74.2 / Avg: 213.5 / Max: 287.5Min: 85.3 / Avg: 161.55 / Max: 208.9Min: 48.4 / Avg: 187.72 / Max: 258.3Min: 42.2 / Avg: 154.69 / Max: 203.6Min: 70.3 / Avg: 144.57 / Max: 189.2Min: 40.5 / Avg: 120.84 / Max: 154.8

LuxMark

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 1060306090120150136.91131.47121.9569.0772.9769.1666.8742.0923.8790.5079.8498.9086.54

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 57 / Avg: 74.29 / Max: 77Min: 57 / Avg: 72.82 / Max: 75Min: 64 / Avg: 78.64 / Max: 81Min: 68 / Avg: 80.35 / Max: 83Min: 68 / Avg: 78.61 / Max: 80Min: 61 / Avg: 74.29 / Max: 77Min: 42 / Avg: 54.27 / Max: 56Min: 66 / Avg: 78.93 / Max: 81Min: 63 / Avg: 76.31 / Max: 77Min: 65 / Avg: 73.06 / Max: 75Min: 59 / Avg: 65.98 / Max: 68Min: 61 / Avg: 68.03 / Max: 70Min: 52 / Avg: 61.07 / Max: 63

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300Min: 184.5 / Avg: 338.75 / Max: 347.9Min: 181.3 / Avg: 321.85 / Max: 333.1Min: 49.4 / Avg: 243.13 / Max: 253.5Min: 54.6 / Avg: 250.3 / Max: 257.9Min: 53.1 / Avg: 229.94 / Max: 237.8Min: 48.3 / Avg: 191.15 / Max: 198.1Min: 47.3 / Avg: 175.22 / Max: 178.9Min: 50.5 / Avg: 273.99 / Max: 288.7Min: 54.7 / Avg: 202.18 / Max: 205.4Min: 47.7 / Avg: 239.62 / Max: 245.3Min: 43.5 / Avg: 173.25 / Max: 177.2Min: 44.3 / Avg: 174.82 / Max: 179.8Min: 40.9 / Avg: 141.45 / Max: 144.9

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10602040608010090.4488.7681.9745.0347.6347.3645.6227.4016.6058.5851.8459.8051.78

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 65 / Avg: 75.76 / Max: 77Min: 63 / Avg: 73.96 / Max: 75Min: 68 / Avg: 78.74 / Max: 80Min: 70 / Avg: 80.18 / Max: 82Min: 70 / Avg: 78.82 / Max: 81Min: 66 / Avg: 75.1 / Max: 77Min: 48 / Avg: 54.41 / Max: 56Min: 69 / Avg: 77.45 / Max: 79Min: 70 / Avg: 76.4 / Max: 77Min: 65 / Avg: 72.74 / Max: 74Min: 60 / Avg: 65.1 / Max: 66Min: 61 / Avg: 67.15 / Max: 68Min: 55 / Avg: 59.7 / Max: 61

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300Min: 134 / Avg: 337.53 / Max: 344.3Min: 52.6 / Avg: 320.82 / Max: 326.8Min: 89.2 / Avg: 242.23 / Max: 250.6Min: 55 / Avg: 242.7 / Max: 250.6Min: 141.3 / Avg: 233.13 / Max: 237.6Min: 48.2 / Avg: 189.64 / Max: 194.3Min: 47.6 / Avg: 175.01 / Max: 177.8Min: 50.6 / Avg: 260.76 / Max: 277Min: 53.7 / Avg: 199.93 / Max: 208.6Min: 136.6 / Avg: 234.43 / Max: 239.4Min: 43.1 / Avg: 168.45 / Max: 171.2Min: 42.1 / Avg: 166.89 / Max: 170.5Min: 41 / Avg: 134.5 / Max: 137.4

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106071421283528.3827.6025.3515.0715.3414.4213.887.864.1820.1919.2519.9417.43

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 64 / Avg: 76.92 / Max: 79Min: 69 / Avg: 75.27 / Max: 77Min: 67 / Avg: 81.22 / Max: 83Min: 71 / Avg: 82.06 / Max: 84Min: 70 / Avg: 80.85 / Max: 83Min: 66 / Avg: 78.75 / Max: 80Min: 44 / Avg: 59.56 / Max: 61Min: 68 / Avg: 80.15 / Max: 82Min: 65 / Avg: 76.97 / Max: 78Min: 64 / Avg: 79.57 / Max: 82Min: 59 / Avg: 71.85 / Max: 74Min: 60 / Avg: 72.99 / Max: 75Min: 52 / Avg: 65.01 / Max: 67

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106060120180240300Min: 51.9 / Avg: 348.23 / Max: 358Min: 57.5 / Avg: 333.06 / Max: 343.7Min: 48.7 / Avg: 259.96 / Max: 273.4Min: 54.9 / Avg: 274.3 / Max: 283.5Min: 52.3 / Avg: 252.9 / Max: 262.4Min: 48.3 / Avg: 210.38 / Max: 218.6Min: 103.6 / Avg: 196.12 / Max: 199.4Min: 62 / Avg: 278.61 / Max: 295.9Min: 53.1 / Avg: 203.67 / Max: 217.6Min: 52.6 / Avg: 276.43 / Max: 282.9Min: 41.3 / Avg: 198.56 / Max: 204.2Min: 86.5 / Avg: 194.45 / Max: 198.9Min: 44.6 / Avg: 152.45 / Max: 155.7

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2018.3Water BenchmarkTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10600.00450.0090.01350.0180.02250.020.020.020.010.010.010.010.010.010.020.020.020.02

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2018.3GPU Temperature MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 34 / Avg: 59.53 / Max: 68Min: 63 / Avg: 67.33 / Max: 69Min: 67 / Avg: 76.94 / Max: 80Min: 68 / Avg: 81.08 / Max: 83Min: 68 / Avg: 80.28 / Max: 82Min: 65 / Avg: 78.37 / Max: 81Min: 46 / Avg: 61.09 / Max: 63Min: 68 / Avg: 81.06 / Max: 83Min: 63 / Avg: 78.24 / Max: 80Min: 67 / Avg: 75.12 / Max: 78Min: 64 / Avg: 72.7 / Max: 75Min: 63 / Avg: 70.08 / Max: 72Min: 55 / Avg: 66.01 / Max: 68

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2018.3System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106070140210280350Min: 52 / Avg: 315.63 / Max: 367.3Min: 50.7 / Avg: 316.38 / Max: 366.5Min: 48.7 / Avg: 283.1 / Max: 311.1Min: 54.9 / Avg: 305.56 / Max: 321.8Min: 50.7 / Avg: 284.77 / Max: 299.4Min: 64.6 / Avg: 246.99 / Max: 257.2Min: 56.5 / Avg: 229.2 / Max: 236Min: 51.7 / Avg: 328.69 / Max: 347.1Min: 54.7 / Avg: 235.38 / Max: 241.1Min: 52.1 / Avg: 297.55 / Max: 322.1Min: 45.9 / Avg: 247.86 / Max: 260.3Min: 44.4 / Avg: 221.47 / Max: 231.7Min: 41.1 / Avg: 191.64 / Max: 197.1

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 10601632486480Min: 35 / Avg: 64.14 / Max: 79Min: 34 / Avg: 67.03 / Max: 77Min: 36 / Avg: 72.15 / Max: 83Min: 41 / Avg: 75.99 / Max: 84Min: 35 / Avg: 76 / Max: 83Min: 35 / Avg: 71.02 / Max: 81Min: 31 / Avg: 54.51 / Max: 63Min: 41 / Avg: 74.8 / Max: 83Min: 39 / Avg: 74.35 / Max: 80Min: 37 / Avg: 69.67 / Max: 82Min: 33 / Avg: 64.13 / Max: 75Min: 32 / Avg: 65.36 / Max: 75Min: 35 / Avg: 58.54 / Max: 68

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 680GTX 1080 TiGTX 1080GTX 1070GTX 106070140210280350Min: 45.6 / Avg: 254.52 / Max: 364.2Min: 45 / Avg: 279.87 / Max: 376Min: 43.9 / Avg: 216.88 / Max: 339.3Min: 50.9 / Avg: 233.27 / Max: 381.9Min: 48.1 / Avg: 227.73 / Max: 361.6Min: 46.3 / Avg: 185.06 / Max: 322.4Min: 46.7 / Avg: 179.09 / Max: 308.2Min: 48.8 / Avg: 259.55 / Max: 403Min: 50.3 / Avg: 203.09 / Max: 273.6Min: 47.7 / Avg: 225.64 / Max: 372.1Min: 41 / Avg: 172.69 / Max: 317.8Min: 41.6 / Avg: 170.61 / Max: 279.3Min: 39.8 / Avg: 138.9 / Max: 260.2

GTX 680

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 680 2GB (1006/3004MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1536
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 13:11 by user pts.

GTX 780 Ti

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 780 Ti 3GB (875/3500MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 2880
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 22 December 2018 21:54 by user pts.

GTX 970

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1664
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 19:20 by user pts.

GTX 980

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 980 4GB (1126/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 2048
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 22 December 2018 19:20 by user pts.

GTX 980 Ti

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 2816
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 14:48 by user pts.

GTX TITAN X GM200

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 3072
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 22 December 2018 18:20 by user pts.

GTX 1060

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1060 6GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1280
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 07:14 by user pts.

GTX 1070

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1070 8GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1920
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 12:10 by user pts.

GTX 1080

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1080 8GB (1607/5005MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 2560
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 22 December 2018 20:18 by user pts.

GTX 1080 Ti

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 3584
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 10:49 by user pts.

RTX 2080

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 2944
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 09:09 by user pts.

RTX 2080 Ti

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 4352
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 23 December 2018 16:28 by user pts.

TITAN RTX

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA TITAN RTX 24GB (1350/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel Connection

OS: Ubuntu 18.04, Kernel: 4.19.5-041905-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.23, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + 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: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 4608
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

Testing initiated at 22 December 2018 09:33 by user pts.