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
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Identifier
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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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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

GTX TITAN X GM200

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

OpenCL Change: GPU Compute Cores: 3072

GTX 980

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

OpenCL Change: GPU Compute Cores: 2048

GTX 1080

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

OpenCL Change: GPU Compute Cores: 2560

GTX 780 Ti

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

OpenCL Change: GPU Compute Cores: 2880

GTX 1060

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

OpenCL Change: GPU Compute Cores: 1280

RTX 2080

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

OpenCL Change: GPU Compute Cores: 2944

GTX 1080 Ti

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

OpenCL Change: GPU Compute Cores: 3584

GTX 1070

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

OpenCL Change: GPU Compute Cores: 1920

GTX 680

Changed Graphics to NVIDIA GeForce GTX 680 2GB (1006/3004MHz).

OpenCL Change: GPU Compute Cores: 1536

GTX 980 Ti

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

OpenCL Change: GPU Compute Cores: 2816

RTX 2080 Ti

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

OpenCL Change: GPU Compute Cores: 4352

GTX 970

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

OpenCL Change: GPU Compute Cores: 1664

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 TITAN RTX 24GB (1350/7000MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 780 Ti 3GB (875/3500MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GeForce GTX 680 2GB (1006/3004MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)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- TITAN RTX: GPU Compute Cores: 4608- GTX TITAN X GM200: GPU Compute Cores: 3072- GTX 980: GPU Compute Cores: 2048- GTX 1080: GPU Compute Cores: 2560- GTX 780 Ti: GPU Compute Cores: 2880- GTX 1060: GPU Compute Cores: 1280- RTX 2080: GPU Compute Cores: 2944- GTX 1080 Ti: GPU Compute Cores: 3584- GTX 1070: GPU Compute Cores: 1920- GTX 680: GPU Compute Cores: 1536- GTX 980 Ti: GPU Compute Cores: 2816- RTX 2080 Ti: GPU Compute Cores: 4352- GTX 970: GPU Compute Cores: 1664- Python 2.7.15rc1 + Python 3.6.7- __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

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

TITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970Per 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 Computegromacs-gpu: Water Benchmarkoctanebench: Total Scoreluxmark: GPU - Microphoneluxmark: GPU - Hotelluxmark: GPU - Luxball HDRfahbench: namd-cuda: ATPase Simulation - 327,506 Atomsparboil: OpenCL LBMrodinia: OpenCL Particle Filterdarktable: Boat - OpenCLdarktable: Server Room - OpenCLclpeak: Integer Compute INTclpeak: Global Memory Bandwidthparboil: OpenCL TPACFmixbench: Single Precisionmixbench: Double PrecisionTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9706.42321305289884463772970.187734.984.261.610.73153985280.63173244603.75152109294135172881210.2686613.489.033.111.3617832631.3665572223.0111189823034132201010.3265120.1311.803.953.0613021641.4147141594.2914887323823138331550.2088922.266.542.721.1224502221.0685702932.72109714521901153373.350.3847626.4515.065.303.469632633.2941652462.9791.766964265712242102.900.3149319.7312.033.651.3112951471.4143921515.95220.3919855658929650236.540.191737.276.171.880.80101993680.88110292925.18212.1813732558121685197.700.1997414.164.972.271.0233663290.77116054003.77133.109980387717289140.290.2428314.908.302.871.1016841961.0864102231.6835.803318851482542.042.0248080.3222.607.323.195581414.5725351403.53143.7211105387916778114.290.2838014.0510.223.271.5216162641.3958601976.65303.7128476919142314294.390.188485.434.451.620.73148405050.64161754342.7596.71798327231171890.440.3562421.9013.304.493.1011381431.544144137OpenBenchmarking.org

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 36.423.753.014.292.722.975.955.183.771.683.536.652.751. (CXX) g++ options: -march=core-avx2 -std=c++11 -O3 -funroll-all-loops -fopenmp -lpthread -ldl -lrt -lm

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97070140210280350321.00152.00111.00148.00109.0091.76220.39212.18133.1035.80143.72303.7196.71

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: MicrophoneTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9707K14K21K28K35KSE +/- 39.86, N = 3SE +/- 20.28, N = 3SE +/- 40.54, N = 3SE +/- 15.59, N = 3SE +/- 30.33, N = 3SE +/- 30.23, N = 3SE +/- 12.67, N = 3SE +/- 1.20, N = 3SE +/- 5.33, N = 3SE +/- 23.78, N = 3SE +/- 18.48, N = 3SE +/- 1.86, N = 33052810929898287327145696419855137329980331811105284767983

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9702K4K6K8K10KSE +/- 38.04, N = 3SE +/- 31.83, N = 3SE +/- 6.23, N = 3SE +/- 18.33, N = 3SE +/- 2.67, N = 3SE +/- 8.41, N = 3SE +/- 1.15, N = 3SE +/- 6.01, N = 3SE +/- 8.21, N = 3SE +/- 4.00, N = 3SE +/- 10.50, N = 3SE +/- 15.93, N = 3988441353034382321902657658955813877851387991912723

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97010K20K30K40K50KSE +/- 231.35, N = 3SE +/- 1.33, N = 3SE +/- 3.61, N = 3SE +/- 40.83, N = 3SE +/- 51.10, N = 3SE +/- 5.17, N = 3SE +/- 11.86, N = 3SE +/- 10.84, N = 3SE +/- 2.00, N = 3SE +/- 15.90, N = 3SE +/- 15.76, N = 3SE +/- 82.86, N = 3SE +/- 10.84, N = 34637717288132201383311533122422965021685172894825167784231411718

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300SE +/- 0.64, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 3297.00121.00101.00155.0073.35102.90236.54197.70140.2942.04114.29294.3990.44

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9700.45560.91121.36681.82242.278SE +/- 0.00154, N = 3SE +/- 0.00310, N = 3SE +/- 0.00050, N = 3SE +/- 0.00033, N = 3SE +/- 0.00335, N = 3SE +/- 0.00245, N = 3SE +/- 0.00151, N = 3SE +/- 0.00185, N = 3SE +/- 0.00143, N = 3SE +/- 0.00740, N = 3SE +/- 0.00149, N = 3SE +/- 0.00093, N = 3SE +/- 0.00115, N = 30.187730.268660.326510.208890.384760.314930.191730.199740.242832.024800.283800.188480.35624

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 LBMTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97020406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 34.9813.4820.1322.2626.4519.737.2714.1614.9080.3214.055.4321.901. (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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970510152025SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 34.269.0311.806.5415.0612.036.174.978.3022.6010.224.4513.301. (CXX) g++ options: -O2 -lOpenCL

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.613.113.952.725.303.651.882.272.877.323.271.624.49

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9700.77851.5572.33553.1143.8925SE +/- 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 = 30.731.363.061.123.461.310.801.021.103.191.520.733.10

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9703K6K9K12K15KSE +/- 1168.75, N = 3SE +/- 23.76, N = 3SE +/- 6.22, N = 3SE +/- 11.35, N = 3SE +/- 16.34, N = 3SE +/- 2.40, N = 3SE +/- 652.84, N = 3SE +/- 18.09, N = 3SE +/- 18.17, N = 3SE +/- 1.19, N = 3SE +/- 21.99, N = 3SE +/- 697.03, N = 3SE +/- 18.00, N = 315398178313022450963129510199336616845581616148401138

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970110220330440550SE +/- 1.05, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.70, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.74, N = 3SE +/- 0.01, N = 3528263164222263147368329196141264505143

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701.02832.05663.08494.11325.1415SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 30.631.361.411.063.291.410.880.771.084.571.390.641.541. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

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 RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9704K8K12K16K20KSE +/- 8.55, N = 3SE +/- 6.28, N = 3SE +/- 4.70, N = 3SE +/- 9.71, N = 3SE +/- 3.73, N = 3SE +/- 0.64, N = 3SE +/- 1.47, N = 3SE +/- 548.77, N = 3SE +/- 48.40, N = 3SE +/- 1.39, N = 3SE +/- 1.73, N = 3SE +/- 21.81, N = 3SE +/- 0.45, N = 3173246557471485704165439211029116056410253558601617541441. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970100200300400500SE +/- 8.49, N = 3SE +/- 0.20, N = 3SE +/- 0.54, N = 3SE +/- 1.76, N = 3SE +/- 0.28, N = 3SE +/- 0.36, N = 3SE +/- 2.01, N = 3SE +/- 19.15, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.60, N = 34602221592932461512924002231401974341371. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97070140210280350Min: 45.6 / Avg: 254.52 / Max: 364.2Min: 50.9 / Avg: 233.27 / Max: 381.9Min: 46.3 / Avg: 185.06 / Max: 322.4Min: 41 / Avg: 172.69 / Max: 317.8Min: 48.8 / Avg: 259.55 / Max: 403Min: 39.8 / Avg: 138.9 / Max: 260.2Min: 43.9 / Avg: 216.88 / Max: 339.3Min: 47.7 / Avg: 225.64 / Max: 372.1Min: 41.6 / Avg: 170.61 / Max: 279.3Min: 50.3 / Avg: 203.09 / Max: 273.6Min: 48.1 / Avg: 227.73 / Max: 361.6Min: 45 / Avg: 279.87 / Max: 376Min: 46.7 / Avg: 179.09 / Max: 308.2

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 35 / Avg: 64.14 / Max: 79Min: 41 / Avg: 75.99 / Max: 84Min: 35 / Avg: 71.02 / Max: 81Min: 33 / Avg: 64.13 / Max: 75Min: 41 / Avg: 74.8 / Max: 83Min: 35 / Avg: 58.54 / Max: 68Min: 36 / Avg: 72.15 / Max: 83Min: 37 / Avg: 69.67 / Max: 82Min: 32 / Avg: 65.36 / Max: 75Min: 39 / Avg: 74.35 / Max: 80Min: 35 / Avg: 76 / Max: 83Min: 34 / Avg: 67.03 / Max: 77Min: 31 / Avg: 54.51 / Max: 63

GROMACS

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2018.3System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97070140210280350Min: 52 / Avg: 315.63 / Max: 367.3Min: 54.9 / Avg: 305.56 / Max: 321.8Min: 64.6 / Avg: 246.99 / Max: 257.2Min: 45.9 / Avg: 247.86 / Max: 260.3Min: 51.7 / Avg: 328.69 / Max: 347.1Min: 41.1 / Avg: 191.64 / Max: 197.1Min: 48.7 / Avg: 283.1 / Max: 311.1Min: 52.1 / Avg: 297.55 / Max: 322.1Min: 44.4 / Avg: 221.47 / Max: 231.7Min: 54.7 / Avg: 235.38 / Max: 241.1Min: 50.7 / Avg: 284.77 / Max: 299.4Min: 50.7 / Avg: 316.38 / Max: 366.5Min: 56.5 / Avg: 229.2 / Max: 236

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2018.3GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 34 / Avg: 59.53 / Max: 68Min: 68 / Avg: 81.08 / Max: 83Min: 65 / Avg: 78.37 / Max: 81Min: 64 / Avg: 72.7 / Max: 75Min: 68 / Avg: 81.06 / Max: 83Min: 55 / Avg: 66.01 / Max: 68Min: 67 / Avg: 76.94 / Max: 80Min: 67 / Avg: 75.12 / Max: 78Min: 63 / Avg: 70.08 / Max: 72Min: 63 / Avg: 78.24 / Max: 80Min: 68 / Avg: 80.28 / Max: 82Min: 63 / Avg: 67.33 / Max: 69Min: 46 / Avg: 61.09 / Max: 63

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2018.3Water BenchmarkTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9700.00450.0090.01350.0180.02250.020.010.010.020.010.020.020.020.020.010.010.020.01

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300Min: 51.9 / Avg: 348.23 / Max: 358Min: 54.9 / Avg: 274.3 / Max: 283.5Min: 48.3 / Avg: 210.38 / Max: 218.6Min: 41.3 / Avg: 198.56 / Max: 204.2Min: 62 / Avg: 278.61 / Max: 295.9Min: 44.6 / Avg: 152.45 / Max: 155.7Min: 48.7 / Avg: 259.96 / Max: 273.4Min: 52.6 / Avg: 276.43 / Max: 282.9Min: 86.5 / Avg: 194.45 / Max: 198.9Min: 53.1 / Avg: 203.67 / Max: 217.6Min: 52.3 / Avg: 252.9 / Max: 262.4Min: 57.5 / Avg: 333.06 / Max: 343.7Min: 103.6 / Avg: 196.12 / Max: 199.4

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 64 / Avg: 76.92 / Max: 79Min: 71 / Avg: 82.06 / Max: 84Min: 66 / Avg: 78.75 / Max: 80Min: 59 / Avg: 71.85 / Max: 74Min: 68 / Avg: 80.15 / Max: 82Min: 52 / Avg: 65.01 / Max: 67Min: 67 / Avg: 81.22 / Max: 83Min: 64 / Avg: 79.57 / Max: 82Min: 60 / Avg: 72.99 / Max: 75Min: 65 / Avg: 76.97 / Max: 78Min: 70 / Avg: 80.85 / Max: 83Min: 69 / Avg: 75.27 / Max: 77Min: 44 / Avg: 59.56 / Max: 61

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97071421283528.3815.0714.4219.257.8617.4325.3520.1919.944.1815.3427.6013.88

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300Min: 134 / Avg: 337.53 / Max: 344.3Min: 55 / Avg: 242.7 / Max: 250.6Min: 48.2 / Avg: 189.64 / Max: 194.3Min: 43.1 / Avg: 168.45 / Max: 171.2Min: 50.6 / Avg: 260.76 / Max: 277Min: 41 / Avg: 134.5 / Max: 137.4Min: 89.2 / Avg: 242.23 / Max: 250.6Min: 136.6 / Avg: 234.43 / Max: 239.4Min: 42.1 / Avg: 166.89 / Max: 170.5Min: 53.7 / Avg: 199.93 / Max: 208.6Min: 141.3 / Avg: 233.13 / Max: 237.6Min: 52.6 / Avg: 320.82 / Max: 326.8Min: 47.6 / Avg: 175.01 / Max: 177.8

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 65 / Avg: 75.76 / Max: 77Min: 70 / Avg: 80.18 / Max: 82Min: 66 / Avg: 75.1 / Max: 77Min: 60 / Avg: 65.1 / Max: 66Min: 69 / Avg: 77.45 / Max: 79Min: 55 / Avg: 59.7 / Max: 61Min: 68 / Avg: 78.74 / Max: 80Min: 65 / Avg: 72.74 / Max: 74Min: 61 / Avg: 67.15 / Max: 68Min: 70 / Avg: 76.4 / Max: 77Min: 70 / Avg: 78.82 / Max: 81Min: 63 / Avg: 73.96 / Max: 75Min: 48 / Avg: 54.41 / Max: 56

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9702040608010090.4445.0347.3651.8427.4051.7881.9758.5859.8016.6047.6388.7645.62

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300Min: 184.5 / Avg: 338.75 / Max: 347.9Min: 54.6 / Avg: 250.3 / Max: 257.9Min: 48.3 / Avg: 191.15 / Max: 198.1Min: 43.5 / Avg: 173.25 / Max: 177.2Min: 50.5 / Avg: 273.99 / Max: 288.7Min: 40.9 / Avg: 141.45 / Max: 144.9Min: 49.4 / Avg: 243.13 / Max: 253.5Min: 47.7 / Avg: 239.62 / Max: 245.3Min: 44.3 / Avg: 174.82 / Max: 179.8Min: 54.7 / Avg: 202.18 / Max: 205.4Min: 53.1 / Avg: 229.94 / Max: 237.8Min: 181.3 / Avg: 321.85 / Max: 333.1Min: 47.3 / Avg: 175.22 / Max: 178.9

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 57 / Avg: 74.29 / Max: 77Min: 68 / Avg: 80.35 / Max: 83Min: 61 / Avg: 74.29 / Max: 77Min: 59 / Avg: 65.98 / Max: 68Min: 66 / Avg: 78.93 / Max: 81Min: 52 / Avg: 61.07 / Max: 63Min: 64 / Avg: 78.64 / Max: 81Min: 65 / Avg: 73.06 / Max: 75Min: 61 / Avg: 68.03 / Max: 70Min: 63 / Avg: 76.31 / Max: 77Min: 68 / Avg: 78.61 / Max: 80Min: 57 / Avg: 72.82 / Max: 75Min: 42 / Avg: 54.27 / Max: 56

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970306090120150136.9169.0769.1679.8442.0986.54121.9590.5098.9023.8772.97131.4766.87

FAHBench

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300Min: 71.5 / Avg: 216.97 / Max: 307.4Min: 79.2 / Avg: 188.72 / Max: 251.2Min: 71.8 / Avg: 154.93 / Max: 207.1Min: 42.2 / Avg: 154.69 / Max: 203.6Min: 74.2 / Avg: 213.5 / Max: 287.5Min: 40.5 / Avg: 120.84 / Max: 154.8Min: 44.3 / Avg: 180.63 / Max: 260.2Min: 48.4 / Avg: 187.72 / Max: 258.3Min: 70.3 / Avg: 144.57 / Max: 189.2Min: 85.3 / Avg: 161.55 / Max: 208.9Min: 77.5 / Avg: 186.46 / Max: 236.1Min: 48.3 / Avg: 215.05 / Max: 315.1Min: 71.9 / Avg: 147.03 / Max: 186.3

OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701530456075Min: 40 / Avg: 54.98 / Max: 67Min: 58 / Avg: 69.48 / Max: 79Min: 53 / Avg: 63.19 / Max: 72Min: 47 / Avg: 58.51 / Max: 67Min: 55 / Avg: 66.7 / Max: 76Min: 41 / Avg: 51.72 / Max: 61Min: 48 / Avg: 64 / Max: 76Min: 50 / Avg: 61.9 / Max: 72Min: 48 / Avg: 58.17 / Max: 67Min: 58 / Avg: 68.78 / Max: 76Min: 59 / Avg: 69.03 / Max: 77Min: 44 / Avg: 56.67 / Max: 67Min: 36 / Avg: 47.03 / Max: 55

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9700.30830.61660.92491.23321.54151.370.640.651.000.340.851.311.050.970.260.611.370.62

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97070140210280350Min: 52.4 / Avg: 209.26 / Max: 364.2Min: 52.6 / Avg: 316.4 / Max: 381.9Min: 48.1 / Avg: 265.81 / Max: 321.7Min: 43.3 / Avg: 235.74 / Max: 317.8Min: 51.9 / Avg: 330.2 / Max: 403Min: 41.6 / Avg: 209.4 / Max: 260.2Min: 48.5 / Avg: 263.5 / Max: 339.3Min: 53.4 / Avg: 280.69 / Max: 372.1Min: 169.7 / Avg: 243.01 / Max: 279.3Min: 51.5 / Avg: 264.88 / Max: 273.6Min: 52.5 / Avg: 302.56 / Max: 361.6Min: 50.7 / Avg: 249.46 / Max: 376Min: 47.7 / Avg: 247.44 / Max: 308.2

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.13GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 54 / Avg: 58.93 / Max: 64Min: 69 / Avg: 76.22 / Max: 82Min: 65 / Avg: 74.6 / Max: 78Min: 61 / Avg: 65.14 / Max: 68Min: 69 / Avg: 75.17 / Max: 80Min: 51 / Avg: 59.4 / Max: 64Min: 67 / Avg: 69.38 / Max: 72Min: 65 / Avg: 68.86 / Max: 72Min: 60 / Avg: 64 / Max: 67Min: 65 / Avg: 74.48 / Max: 76Min: 69 / Avg: 74.67 / Max: 79Min: 61 / Avg: 64.29 / Max: 66Min: 44 / Avg: 55.64 / Max: 62

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 97060120180240300Min: 46.6 / Avg: 315.28 / Max: 350Min: 54 / Avg: 230.17 / Max: 258.6Min: 47.5 / Avg: 168.73 / Max: 191.8Min: 41.9 / Avg: 161.36 / Max: 183Min: 51.7 / Avg: 254.01 / Max: 275.1Min: 40 / Avg: 115.29 / Max: 177Min: 77 / Avg: 230.22 / Max: 269.5Min: 64 / Avg: 226.55 / Max: 252.1Min: 41.6 / Avg: 148.64 / Max: 170Min: 52.5 / Avg: 182.48 / Max: 212.3Min: 51.2 / Avg: 214.75 / Max: 243.1Min: 45.3 / Avg: 299.31 / Max: 329.8Min: 46.7 / Avg: 153.05 / Max: 214.5

OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 4.00GPU Temperature MonitorTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9701632486480Min: 37 / Avg: 71.03 / Max: 77Min: 49 / Avg: 78.6 / Max: 83Min: 42 / Avg: 70.42 / Max: 78Min: 40 / Avg: 64.51 / Max: 70Min: 50 / Avg: 77.49 / Max: 81Min: 37 / Avg: 56.47 / Max: 60Min: 38 / Avg: 75.21 / Max: 83Min: 45 / Avg: 71.21 / Max: 76Min: 38 / Avg: 62.99 / Max: 69Min: 46 / Avg: 73.49 / Max: 77Min: 46 / Avg: 76.56 / Max: 81Min: 34 / Avg: 68.08 / Max: 75Min: 34 / Avg: 53.66 / Max: 58

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 9700.22950.4590.68850.9181.14751.020.660.660.920.430.800.960.940.900.200.671.010.63

38 Results Shown

GROMACS
OctaneBench
LuxMark:
  GPU - Microphone
  GPU - Hotel
  GPU - Luxball HDR
FAHBench
NAMD CUDA
Parboil
Rodinia
Darktable:
  Boat - OpenCL
  Server Room - OpenCL
clpeak:
  Integer Compute INT
  Global Memory Bandwidth
Parboil
Mixbench:
  Single Precision
  Double Precision
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Water Benchmark:
    Ns Per Day Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  GPU - Hotel:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  GPU - Microphone:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  GPU - Luxball HDR:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  :
    Ns Per Day Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Total Score:
    Score Per Watt

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.

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 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 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 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 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.

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.

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.

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 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 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.

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.

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.