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
HPC - High Performance Computing 2 Tests
Multi-Core 2 Tests
NVIDIA GPU Compute 5 Tests
OpenCL 4 Tests
OpenMPI Tests 2 Tests
Common Workstation Benchmarks 2 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 Computeclpeak: Global Memory Bandwidthmixbench: Single Precisionmixbench: Double Precisionclpeak: Integer Compute INTfahbench: gromacs-gpu: Water Benchmarkoctanebench: Total Scoreluxmark: GPU - Luxball HDRluxmark: GPU - Microphoneluxmark: GPU - Hotelnamd-cuda: ATPase Simulation - 327,506 Atomsdarktable: Boat - OpenCLdarktable: Server Room - OpenCLparboil: OpenCL TPACFparboil: OpenCL LBMrodinia: OpenCL Particle FilterGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX141253514055842.041.6835.80482533188512.024807.323.194.5780.3222.60263416524696373.352.7210911533714521900.384765.303.463.2926.4515.061434144137113890.442.7596.7111718798327230.356244.493.101.5421.9013.30164471415913021013.0111113220898230340.326513.953.061.4120.1311.8026458601971616114.293.53143.72167781110538790.283803.271.521.3914.0510.22263655722217831213.75152172881092941350.268663.111.361.3613.489.0314743921511295102.902.9791.7612242696426570.314933.651.311.4119.7312.0319664102231684140.293.77133.1017289998038770.242832.871.101.0814.908.30222857029324501554.2914813833873238230.208892.721.121.0622.266.54329116054003366197.705.18212.18216851373255810.199742.271.020.7714.164.973681102929210199236.545.95220.39296501985565890.191731.880.800.887.276.175051617543414840294.396.65303.71423142847691910.188481.620.730.645.434.4552817324460153982976.42321463773052898840.187731.610.730.634.984.26OpenBenchmarking.org

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 970GTX 1060GTX 1080TITAN RTXGTX 1070RTX 2080 TiGTX 1080 TiGTX 980RTX 2080GTX 680GTX 780 TiGTX TITAN X GM200GTX 980 Ti1632486480Min: 31 / Avg: 54.51 / Max: 63Min: 35 / Avg: 58.54 / Max: 68Min: 33 / Avg: 64.13 / Max: 75Min: 35 / Avg: 64.14 / Max: 79Min: 32 / Avg: 65.36 / Max: 75Min: 34 / Avg: 67.03 / Max: 77Min: 37 / Avg: 69.67 / Max: 82Min: 35 / Avg: 71.02 / Max: 81Min: 36 / Avg: 72.15 / Max: 83Min: 39 / Avg: 74.35 / Max: 80Min: 41 / Avg: 74.8 / Max: 83Min: 41 / Avg: 75.99 / Max: 84Min: 35 / Avg: 76 / Max: 83

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1060GTX 1070GTX 1080GTX 970GTX 980GTX 680RTX 2080GTX 1080 TiGTX 980 TiGTX TITAN X GM200TITAN RTXGTX 780 TiRTX 2080 Ti70140210280350Min: 39.8 / Avg: 138.9 / Max: 260.2Min: 41.6 / Avg: 170.61 / Max: 279.3Min: 41 / Avg: 172.69 / Max: 317.8Min: 46.7 / Avg: 179.09 / Max: 308.2Min: 46.3 / Avg: 185.06 / Max: 322.4Min: 50.3 / Avg: 203.09 / Max: 273.6Min: 43.9 / Avg: 216.88 / Max: 339.3Min: 47.7 / Avg: 225.64 / Max: 372.1Min: 48.1 / Avg: 227.73 / Max: 361.6Min: 50.9 / Avg: 233.27 / Max: 381.9Min: 45.6 / Avg: 254.52 / Max: 364.2Min: 48.8 / Avg: 259.55 / Max: 403Min: 45 / Avg: 279.87 / Max: 376

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 1080 TiGTX 980 TiGTX TITAN X GM200GTX 780 TiGTX 1080GTX 1070GTX 980GTX 1060GTX 970GTX 680110220330440550SE +/- 1.05, N = 3SE +/- 0.74, N = 3SE +/- 0.23, N = 3SE +/- 0.70, N = 3SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3528505368329264263263222196164147143141

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 TiGTX 1080 TiRTX 2080GTX 1080GTX TITAN X GM200GTX 1070GTX 980 TiGTX 980GTX 1060GTX 780 TiGTX 970GTX 6804K8K12K16K20KSE +/- 8.55, N = 3SE +/- 21.81, N = 3SE +/- 548.77, N = 3SE +/- 1.47, N = 3SE +/- 9.71, N = 3SE +/- 6.28, N = 3SE +/- 48.40, N = 3SE +/- 1.73, N = 3SE +/- 4.70, N = 3SE +/- 0.64, N = 3SE +/- 3.73, N = 3SE +/- 0.45, N = 3SE +/- 1.39, N = 3173241617511605110298570655764105860471443924165414425351. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1080 TiGTX 1080RTX 2080GTX 780 TiGTX 1070GTX TITAN X GM200GTX 980 TiGTX 980GTX 1060GTX 680GTX 970100200300400500SE +/- 8.49, N = 3SE +/- 0.06, N = 3SE +/- 19.15, N = 3SE +/- 1.76, N = 3SE +/- 2.01, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.54, N = 3SE +/- 0.36, N = 3SE +/- 0.11, N = 3SE +/- 0.60, N = 34604344002932922462232221971591511401371. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 1080 TiGTX 1080GTX TITAN X GM200GTX 1070GTX 980 TiGTX 980GTX 1060GTX 970GTX 780 TiGTX 6803K6K9K12K15KSE +/- 1168.75, N = 3SE +/- 697.03, N = 3SE +/- 652.84, N = 3SE +/- 18.09, N = 3SE +/- 11.35, N = 3SE +/- 23.76, N = 3SE +/- 18.17, N = 3SE +/- 21.99, N = 3SE +/- 6.22, N = 3SE +/- 2.40, N = 3SE +/- 18.00, N = 3SE +/- 16.34, N = 3SE +/- 1.19, N = 315398148401019933662450178316841616130212951138963558

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 1080 TiGTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 1060GTX 980GTX 970GTX 780 TiGTX 68060120180240300SE +/- 0.64, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3297.00294.39236.54197.70155.00140.29121.00114.29102.90101.0090.4473.3542.04

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 BenchmarkRTX 2080 TiTITAN RTXRTX 2080GTX 1080 TiGTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 980GTX 1060GTX 970GTX 780 TiGTX 680246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.656.425.955.184.293.773.753.533.012.972.752.721.681. (CXX) g++ options: -march=core-avx2 -std=c++11 -O3 -funroll-all-loops -fopenmp -lpthread -ldl -lrt -lm

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070GTX 1060GTX 980GTX TITAN X GM200GTX 970GTX 980 TiGTX 780 TiGTX 6800.30830.61660.92491.23321.54151.371.371.311.051.000.970.850.650.640.620.610.340.26

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2018.3Water BenchmarkTITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070GTX 1060GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 780 TiGTX 6800.00450.0090.01350.0180.02250.020.020.020.020.020.020.020.010.010.010.010.010.01

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070GTX 1060GTX 980 TiGTX TITAN X GM200GTX 980GTX 970GTX 780 TiGTX 6800.22950.4590.68850.9181.14751.021.010.960.940.920.900.800.670.660.660.630.430.20

LuxMark

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080GTX 1070GTX 1080 TiGTX 1060GTX 1080GTX 980 TiGTX 980GTX TITAN X GM200GTX 970GTX 780 TiGTX 680306090120150136.91131.47121.9598.9090.5086.5479.8472.9769.1669.0766.8742.0923.87

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080GTX 1070GTX 1080 TiGTX 1080GTX 1060GTX 980 TiGTX 980GTX 970GTX TITAN X GM200GTX 780 TiGTX 6802040608010090.4488.7681.9759.8058.5851.8451.7847.6347.3645.6245.0327.4016.60

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 1080 TiGTX TITAN X GM200GTX 1080GTX 980 TiGTX 1070GTX 980GTX 780 TiGTX 970GTX 1060GTX 68070140210280350321.00303.71220.39212.18152.00148.00143.72133.10111.00109.0096.7191.7635.80

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 1080 TiGTX 1070GTX TITAN X GM200GTX 980 TiGTX 1080GTX 980GTX 1060GTX 970GTX 780 TiGTX 68010K20K30K40K50KSE +/- 231.35, N = 3SE +/- 82.86, N = 3SE +/- 11.86, N = 3SE +/- 10.84, N = 3SE +/- 2.00, N = 3SE +/- 1.33, N = 3SE +/- 15.76, N = 3SE +/- 40.83, N = 3SE +/- 3.61, N = 3SE +/- 5.17, N = 3SE +/- 10.84, N = 3SE +/- 51.10, N = 3SE +/- 15.90, N = 34637742314296502168517289172881677813833132201224211718115334825

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX 980 TiGTX TITAN X GM200GTX 1070GTX 980GTX 1080GTX 970GTX 780 TiGTX 1060GTX 6807K14K21K28K35KSE +/- 39.86, N = 3SE +/- 18.48, N = 3SE +/- 30.23, N = 3SE +/- 12.67, N = 3SE +/- 23.78, N = 3SE +/- 20.28, N = 3SE +/- 1.20, N = 3SE +/- 40.54, N = 3SE +/- 15.59, N = 3SE +/- 1.86, N = 3SE +/- 30.33, N = 3SE +/- 5.33, N = 33052828476198551373211105109299980898287327983714569643318

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX TITAN X GM200GTX 980 TiGTX 1070GTX 1080GTX 980GTX 970GTX 1060GTX 780 TiGTX 6802K4K6K8K10KSE +/- 38.04, N = 3SE +/- 15.93, N = 3SE +/- 1.15, N = 3SE +/- 6.01, N = 3SE +/- 31.83, N = 3SE +/- 10.50, N = 3SE +/- 8.21, N = 3SE +/- 18.33, N = 3SE +/- 6.23, N = 3SE +/- 8.41, N = 3SE +/- 2.67, N = 3SE +/- 4.00, N = 3988491916589558141353879387738233034272326572190851

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080GTX 1080 TiGTX 1070GTX 1080GTX 1060GTX 980 TiGTX TITAN X GM200GTX 980GTX 970GTX 780 TiGTX 68071421283528.3827.6025.3520.1919.9419.2517.4315.3415.0714.4213.887.864.18

OctaneBench

OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 4.00GPU Temperature MonitorGTX 970GTX 1060GTX 1070GTX 1080RTX 2080 TiGTX 980TITAN RTXGTX 1080 TiGTX 680RTX 2080GTX 980 TiGTX 780 TiGTX TITAN X GM2001632486480Min: 34 / Avg: 53.66 / Max: 58Min: 37 / Avg: 56.47 / Max: 60Min: 38 / Avg: 62.99 / Max: 69Min: 40 / Avg: 64.51 / Max: 70Min: 34 / Avg: 68.08 / Max: 75Min: 42 / Avg: 70.42 / Max: 78Min: 37 / Avg: 71.03 / Max: 77Min: 45 / Avg: 71.21 / Max: 76Min: 46 / Avg: 73.49 / Max: 77Min: 38 / Avg: 75.21 / Max: 83Min: 46 / Avg: 76.56 / Max: 81Min: 50 / Avg: 77.49 / Max: 81Min: 49 / Avg: 78.6 / Max: 83

NAMD CUDA

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.13GPU Temperature MonitorGTX 970TITAN RTXGTX 1060GTX 1070RTX 2080 TiGTX 1080GTX 1080 TiRTX 2080GTX 680GTX 980GTX 980 TiGTX 780 TiGTX TITAN X GM2001632486480Min: 44 / Avg: 55.64 / Max: 62Min: 54 / Avg: 58.93 / Max: 64Min: 51 / Avg: 59.4 / Max: 64Min: 60 / Avg: 64 / Max: 67Min: 61 / Avg: 64.29 / Max: 66Min: 61 / Avg: 65.14 / Max: 68Min: 65 / Avg: 68.86 / Max: 72Min: 67 / Avg: 69.38 / Max: 72Min: 65 / Avg: 74.48 / Max: 76Min: 65 / Avg: 74.6 / Max: 78Min: 69 / Avg: 74.67 / Max: 79Min: 69 / Avg: 75.17 / Max: 80Min: 69 / Avg: 76.22 / Max: 82

FAHBench

OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature MonitorGTX 970GTX 1060TITAN RTXRTX 2080 TiGTX 1070GTX 1080GTX 1080 TiGTX 980RTX 2080GTX 780 TiGTX 680GTX 980 TiGTX TITAN X GM2001530456075Min: 36 / Avg: 47.03 / Max: 55Min: 41 / Avg: 51.72 / Max: 61Min: 40 / Avg: 54.98 / Max: 67Min: 44 / Avg: 56.67 / Max: 67Min: 48 / Avg: 58.17 / Max: 67Min: 47 / Avg: 58.51 / Max: 67Min: 50 / Avg: 61.9 / Max: 72Min: 53 / Avg: 63.19 / Max: 72Min: 48 / Avg: 64 / Max: 76Min: 55 / Avg: 66.7 / Max: 76Min: 58 / Avg: 68.78 / Max: 76Min: 59 / Avg: 69.03 / Max: 77Min: 58 / Avg: 69.48 / Max: 79

LuxMark

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970GTX 1060GTX 1080GTX 1070RTX 2080 TiGTX 1080 TiGTX 980TITAN RTXGTX 680GTX 980 TiRTX 2080GTX 780 TiGTX TITAN X GM2001632486480Min: 42 / Avg: 54.27 / Max: 56Min: 52 / Avg: 61.07 / Max: 63Min: 59 / Avg: 65.98 / Max: 68Min: 61 / Avg: 68.03 / Max: 70Min: 57 / Avg: 72.82 / Max: 75Min: 65 / Avg: 73.06 / Max: 75Min: 61 / Avg: 74.29 / Max: 77Min: 57 / Avg: 74.29 / Max: 77Min: 63 / Avg: 76.31 / Max: 77Min: 68 / Avg: 78.61 / Max: 80Min: 64 / Avg: 78.64 / Max: 81Min: 66 / Avg: 78.93 / Max: 81Min: 68 / Avg: 80.35 / Max: 83

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970GTX 1060GTX 1080GTX 1070GTX 1080 TiRTX 2080 TiGTX 980TITAN RTXGTX 680GTX 780 TiRTX 2080GTX 980 TiGTX TITAN X GM2001632486480Min: 48 / Avg: 54.41 / Max: 56Min: 55 / Avg: 59.7 / Max: 61Min: 60 / Avg: 65.1 / Max: 66Min: 61 / Avg: 67.15 / Max: 68Min: 65 / Avg: 72.74 / Max: 74Min: 63 / Avg: 73.96 / Max: 75Min: 66 / Avg: 75.1 / Max: 77Min: 65 / Avg: 75.76 / Max: 77Min: 70 / Avg: 76.4 / Max: 77Min: 69 / Avg: 77.45 / Max: 79Min: 68 / Avg: 78.74 / Max: 80Min: 70 / Avg: 78.82 / Max: 81Min: 70 / Avg: 80.18 / Max: 82

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970GTX 1060GTX 1080GTX 1070RTX 2080 TiTITAN RTXGTX 680GTX 980GTX 1080 TiGTX 780 TiGTX 980 TiRTX 2080GTX TITAN X GM2001632486480Min: 44 / Avg: 59.56 / Max: 61Min: 52 / Avg: 65.01 / Max: 67Min: 59 / Avg: 71.85 / Max: 74Min: 60 / Avg: 72.99 / Max: 75Min: 69 / Avg: 75.27 / Max: 77Min: 64 / Avg: 76.92 / Max: 79Min: 65 / Avg: 76.97 / Max: 78Min: 66 / Avg: 78.75 / Max: 80Min: 64 / Avg: 79.57 / Max: 82Min: 68 / Avg: 80.15 / Max: 82Min: 70 / Avg: 80.85 / Max: 83Min: 67 / Avg: 81.22 / Max: 83Min: 71 / Avg: 82.06 / Max: 84

GROMACS

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2018.3GPU Temperature MonitorTITAN RTXGTX 970GTX 1060RTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 2080GTX 680GTX 980GTX 980 TiGTX 780 TiGTX TITAN X GM2001632486480Min: 34 / Avg: 59.53 / Max: 68Min: 46 / Avg: 61.09 / Max: 63Min: 55 / Avg: 66.01 / Max: 68Min: 63 / Avg: 67.33 / Max: 69Min: 63 / Avg: 70.08 / Max: 72Min: 64 / Avg: 72.7 / Max: 75Min: 67 / Avg: 75.12 / Max: 78Min: 67 / Avg: 76.94 / Max: 80Min: 63 / Avg: 78.24 / Max: 80Min: 65 / Avg: 78.37 / Max: 81Min: 68 / Avg: 80.28 / Max: 82Min: 68 / Avg: 81.06 / Max: 83Min: 68 / Avg: 81.08 / Max: 83

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 1080 TiGTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 1060GTX 980GTX 970GTX 780 TiGTX 6800.45560.91121.36681.82242.278SE +/- 0.00154, N = 3SE +/- 0.00093, N = 3SE +/- 0.00151, N = 3SE +/- 0.00185, N = 3SE +/- 0.00033, N = 3SE +/- 0.00143, N = 3SE +/- 0.00310, N = 3SE +/- 0.00149, N = 3SE +/- 0.00245, N = 3SE +/- 0.00050, N = 3SE +/- 0.00115, N = 3SE +/- 0.00335, N = 3SE +/- 0.00740, N = 30.187730.188480.191730.199740.208890.242830.268660.283800.314930.326510.356240.384762.02480

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 1080 TiGTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 1060GTX 980GTX 970GTX 780 TiGTX 680246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.611.621.882.272.722.873.113.273.653.954.495.307.32

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLRTX 2080 TiTITAN RTXRTX 2080GTX 1080 TiGTX 1070GTX 1080GTX 1060GTX TITAN X GM200GTX 980 TiGTX 980GTX 970GTX 680GTX 780 Ti0.77851.5572.33553.1143.8925SE +/- 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 = 30.730.730.801.021.101.121.311.361.523.063.103.193.46

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 TiGTX 1080 TiRTX 2080GTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 980GTX 1060GTX 970GTX 780 TiGTX 6801.02832.05663.08494.11325.1415SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 30.630.640.770.881.061.081.361.391.411.411.543.294.571. (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 1080 TiGTX 1070GTX 1060GTX 980GTX 970GTX 1080GTX 780 TiGTX 68020406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 34.985.437.2713.4814.0514.1614.9019.7320.1321.9022.2626.4580.321. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

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 TiGTX 1080 TiRTX 2080GTX 1080GTX 1070GTX TITAN X GM200GTX 980 TiGTX 980GTX 1060GTX 970GTX 780 TiGTX 680510152025SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 34.264.454.976.176.548.309.0310.2211.8012.0313.3015.0622.601. (CXX) g++ options: -O2 -lOpenCL

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorGTX 1060GTX 1070GTX 970GTX 1080GTX 980GTX 680GTX 980 TiGTX 1080 TiGTX TITAN X GM200RTX 2080GTX 780 TiRTX 2080 TiTITAN RTX60120180240300Min: 40 / Avg: 115.29 / Max: 177Min: 41.6 / Avg: 148.64 / Max: 170Min: 46.7 / Avg: 153.05 / Max: 214.5Min: 41.9 / Avg: 161.36 / Max: 183Min: 47.5 / Avg: 168.73 / Max: 191.8Min: 52.5 / Avg: 182.48 / Max: 212.3Min: 51.2 / Avg: 214.75 / Max: 243.1Min: 64 / Avg: 226.55 / Max: 252.1Min: 54 / Avg: 230.17 / Max: 258.6Min: 77 / Avg: 230.22 / Max: 269.5Min: 51.7 / Avg: 254.01 / Max: 275.1Min: 45.3 / Avg: 299.31 / Max: 329.8Min: 46.6 / Avg: 315.28 / Max: 350

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorTITAN RTXGTX 1060GTX 1080GTX 1070GTX 970RTX 2080 TiRTX 2080GTX 680GTX 980GTX 1080 TiGTX 980 TiGTX TITAN X GM200GTX 780 Ti70140210280350Min: 52.4 / Avg: 209.26 / Max: 364.2Min: 41.6 / Avg: 209.4 / Max: 260.2Min: 43.3 / Avg: 235.74 / Max: 317.8Min: 169.7 / Avg: 243.01 / Max: 279.3Min: 47.7 / Avg: 247.44 / Max: 308.2Min: 50.7 / Avg: 249.46 / Max: 376Min: 48.5 / Avg: 263.5 / Max: 339.3Min: 51.5 / Avg: 264.88 / Max: 273.6Min: 48.1 / Avg: 265.81 / Max: 321.7Min: 53.4 / Avg: 280.69 / Max: 372.1Min: 52.5 / Avg: 302.56 / Max: 361.6Min: 52.6 / Avg: 316.4 / Max: 381.9Min: 51.9 / Avg: 330.2 / Max: 403

FAHBench

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorGTX 1060GTX 1070GTX 970GTX 1080GTX 980GTX 680RTX 2080GTX 980 TiGTX 1080 TiGTX TITAN X GM200GTX 780 TiRTX 2080 TiTITAN RTX60120180240300Min: 40.5 / Avg: 120.84 / Max: 154.8Min: 70.3 / Avg: 144.57 / Max: 189.2Min: 71.9 / Avg: 147.03 / Max: 186.3Min: 42.2 / Avg: 154.69 / Max: 203.6Min: 71.8 / Avg: 154.93 / Max: 207.1Min: 85.3 / Avg: 161.55 / Max: 208.9Min: 44.3 / Avg: 180.63 / Max: 260.2Min: 77.5 / Avg: 186.46 / Max: 236.1Min: 48.4 / Avg: 187.72 / Max: 258.3Min: 79.2 / Avg: 188.72 / Max: 251.2Min: 74.2 / Avg: 213.5 / Max: 287.5Min: 48.3 / Avg: 215.05 / Max: 315.1Min: 71.5 / Avg: 216.97 / Max: 307.4

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1080GTX 1070GTX 970GTX 980GTX 680GTX 980 TiGTX 1080 TiRTX 2080GTX TITAN X GM200GTX 780 TiRTX 2080 TiTITAN RTX60120180240300Min: 40.9 / Avg: 141.45 / Max: 144.9Min: 43.5 / Avg: 173.25 / Max: 177.2Min: 44.3 / Avg: 174.82 / Max: 179.8Min: 47.3 / Avg: 175.22 / Max: 178.9Min: 48.3 / Avg: 191.15 / Max: 198.1Min: 54.7 / Avg: 202.18 / Max: 205.4Min: 53.1 / Avg: 229.94 / Max: 237.8Min: 47.7 / Avg: 239.62 / Max: 245.3Min: 49.4 / Avg: 243.13 / Max: 253.5Min: 54.6 / Avg: 250.3 / Max: 257.9Min: 50.5 / Avg: 273.99 / Max: 288.7Min: 181.3 / Avg: 321.85 / Max: 333.1Min: 184.5 / Avg: 338.75 / Max: 347.9

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1070GTX 1080GTX 970GTX 980GTX 680GTX 980 TiGTX 1080 TiRTX 2080GTX TITAN X GM200GTX 780 TiRTX 2080 TiTITAN RTX60120180240300Min: 41 / Avg: 134.5 / Max: 137.4Min: 42.1 / Avg: 166.89 / Max: 170.5Min: 43.1 / Avg: 168.45 / Max: 171.2Min: 47.6 / Avg: 175.01 / Max: 177.8Min: 48.2 / Avg: 189.64 / Max: 194.3Min: 53.7 / Avg: 199.93 / Max: 208.6Min: 141.3 / Avg: 233.13 / Max: 237.6Min: 136.6 / Avg: 234.43 / Max: 239.4Min: 89.2 / Avg: 242.23 / Max: 250.6Min: 55 / Avg: 242.7 / Max: 250.6Min: 50.6 / Avg: 260.76 / Max: 277Min: 52.6 / Avg: 320.82 / Max: 326.8Min: 134 / Avg: 337.53 / Max: 344.3

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1060GTX 1070GTX 970GTX 1080GTX 680GTX 980GTX 980 TiRTX 2080GTX TITAN X GM200GTX 1080 TiGTX 780 TiRTX 2080 TiTITAN RTX60120180240300Min: 44.6 / Avg: 152.45 / Max: 155.7Min: 86.5 / Avg: 194.45 / Max: 198.9Min: 103.6 / Avg: 196.12 / Max: 199.4Min: 41.3 / Avg: 198.56 / Max: 204.2Min: 53.1 / Avg: 203.67 / Max: 217.6Min: 48.3 / Avg: 210.38 / Max: 218.6Min: 52.3 / Avg: 252.9 / Max: 262.4Min: 48.7 / Avg: 259.96 / Max: 273.4Min: 54.9 / Avg: 274.3 / Max: 283.5Min: 52.6 / Avg: 276.43 / Max: 282.9Min: 62 / Avg: 278.61 / Max: 295.9Min: 57.5 / Avg: 333.06 / Max: 343.7Min: 51.9 / Avg: 348.23 / Max: 358

GROMACS

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2018.3System Power Consumption MonitorGTX 1060GTX 1070GTX 970GTX 680GTX 980GTX 1080RTX 2080GTX 980 TiGTX 1080 TiGTX TITAN X GM200TITAN RTXRTX 2080 TiGTX 780 Ti70140210280350Min: 41.1 / Avg: 191.64 / Max: 197.1Min: 44.4 / Avg: 221.47 / Max: 231.7Min: 56.5 / Avg: 229.2 / Max: 236Min: 54.7 / Avg: 235.38 / Max: 241.1Min: 64.6 / Avg: 246.99 / Max: 257.2Min: 45.9 / Avg: 247.86 / Max: 260.3Min: 48.7 / Avg: 283.1 / Max: 311.1Min: 50.7 / Avg: 284.77 / Max: 299.4Min: 52.1 / Avg: 297.55 / Max: 322.1Min: 54.9 / Avg: 305.56 / Max: 321.8Min: 52 / Avg: 315.63 / Max: 367.3Min: 50.7 / Avg: 316.38 / Max: 366.5Min: 51.7 / Avg: 328.69 / Max: 347.1

38 Results Shown

GPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
clpeak
Mixbench:
  Single Precision
  Double Precision
clpeak
FAHBench
GROMACS
FAHBench:
 
  Water Benchmark
  Total Score
  GPU - Luxball HDR
  GPU - Microphone
OctaneBench
LuxMark:
  GPU - Luxball HDR
  GPU - Microphone
  GPU - Hotel
LuxMark:
  GPU - Hotel
  GPU Temp Monitor
  GPU Temp Monitor
  GPU Temp Monitor
  GPU Temp Monitor
  GPU Temp Monitor
  GPU Temp Monitor
  GPU Temp Monitor
NAMD CUDA
Darktable:
  Boat - OpenCL
  Server Room - OpenCL
Parboil:
  OpenCL TPACF
  OpenCL LBM
Rodinia
OctaneBench:
  System Power Consumption Monitor:
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts

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.