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 1901228-SK-1812259PT23
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CPU Massive 3 Tests
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NVIDIA GPU Compute 5 Tests
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Date
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  Test
  Duration
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
NVIDIA TITAN RTX
January 22 2019
  33 Minutes
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  45 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

Processor: Intel Xeon W-2155 @ 3.31GHz (10 Cores / 20 Threads), Motherboard: Dell 0X8DXD, Memory: 4 x 16384 MB 2666MHz Hynix HMA82GR7AFR8N-VK, Disk: 477GB NVMe KXG50ZNV512G NVM, Graphics: NVIDIA TITAN RTX 24GB (2100/7001MHz), Network: Intel Connection (5) I219-LM + Realtek USB GbE Family

OS: Microsoft Windows 10 Enterprise Build 17763, Kernel: 10.0 (x86_64), Display Driver: 417.71 (25.21.14.1771), Compiler: GCC 4.9.3, File-System: NTFS, Screen Resolution: 1920x1080

NVIDIA TITAN RTX ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTXIntel 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)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 10.0ext43840x2160NVIDIA 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)Intel Xeon W-2155 @ 3.31GHz (10 Cores / 20 Threads)Dell 0X8DXD4 x 16384 MB 2666MHz Hynix HMA82GR7AFR8N-VK477GB NVMe KXG50ZNV512G NVMNVIDIA TITAN RTX 24GB (2100/7001MHz)Intel Connection (5) I219-LM + Realtek USB GbE FamilyMicrosoft Windows 10 Enterprise Build 1776310.0 (x86_64)417.71 (25.21.14.1771)GCC 4.9.3NTFS1920x1080OpenBenchmarking.orgCompiler Details- GTX 680, GTX 780 Ti, GTX 970, GTX 980, GTX 980 Ti, GTX TITAN X GM200, GTX 1060, GTX 1070, GTX 1080, GTX 1080 Ti, RTX 2080, RTX 2080 Ti, TITAN RTX: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v Processor Details- GTX 680, GTX 780 Ti, GTX 970, GTX 980, GTX 980 Ti, GTX TITAN X GM200, GTX 1060, GTX 1070, GTX 1080, GTX 1080 Ti, RTX 2080, RTX 2080 Ti, TITAN RTX: Scaling Governor: intel_pstate performanceOpenCL Details- 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: 4608Python Details- GTX 680, GTX 780 Ti, GTX 970, GTX 980, GTX 980 Ti, GTX TITAN X GM200, GTX 1060, GTX 1070, GTX 1080, GTX 1080 Ti, RTX 2080, RTX 2080 Ti, TITAN RTX: Python 2.7.15rc1 + Python 3.6.7Security Details- GTX 680, GTX 780 Ti, GTX 970, GTX 980, GTX 980 Ti, GTX TITAN X GM200, GTX 1060, GTX 1070, GTX 1080, GTX 1080 Ti, RTX 2080, RTX 2080 Ti, TITAN RTX: __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 RTXNVIDIA TITAN RTXResult OverviewPhoronix Test Suite100%327%555%782%1009%OctaneBenchFAHBenchLuxMark

NVIDIA TITAN RTX Computegromacs-gpu: Water Benchmarkoctanebench: Total Scoreluxmark: GPU - Microphoneluxmark: GPU - Luxball HDRluxmark: GPU - Hotelfahbench: namd-cuda: ATPase Simulation - 327,506 Atomsparboil: OpenCL LBMrodinia: OpenCL Particle Filterdarktable: Server Room - OpenCLdarktable: Boat - OpenCLdarktable: Boat - OpenCLdarktable: Server Room - OpenCLclpeak: Integer Compute INTclpeak: Global Memory Bandwidthparboil: OpenCL TPACFmixbench: Single Precisionmixbench: Double PrecisionGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX1.6835.803318482585142.042.0248080.3222.607.323.195581414.5725351402.72109714511533219073.350.3847626.4515.065.303.469632633.2941652462.7596.71798311718272390.440.3562421.9013.304.493.1011381431.5441441373.0111189821322030341010.3265120.1311.803.953.0613021641.4147141593.53143.7211105167783879114.290.2838014.0510.223.271.5216162641.3958601973.75152109291728841351210.2686613.489.033.111.3617832631.3665572222.9791.766964122422657102.900.3149319.7312.033.651.3112951471.4143921513.77133.109980172893877140.290.2428314.908.302.871.1016841961.0864102234.2914887321383338231550.2088922.266.542.721.1224502221.0685702935.18212.1813732216855581197.700.1997414.164.972.271.0233663290.77116054005.95220.3919855296506589236.540.191737.276.171.880.80101993680.88110292926.65303.7128476423149191294.390.188485.434.451.620.73148405050.64161754346.42321305284637798842970.187734.984.261.610.73153985280.6317324460308.432955844164940186.750.470.40OpenBenchmarking.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 BenchmarkGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.682.722.753.013.533.752.973.774.295.185.956.656.421. (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 ScoreGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX7014021028035035.80109.0096.71111.00143.72152.0091.76133.10148.00212.18220.39303.71321.00308.43

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: MicrophoneGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX7K14K21K28K35KSE +/- 5.33, N = 3SE +/- 30.33, N = 3SE +/- 1.86, N = 3SE +/- 40.54, N = 3SE +/- 23.78, N = 3SE +/- 20.28, N = 3SE +/- 1.20, N = 3SE +/- 15.59, N = 3SE +/- 12.67, N = 3SE +/- 30.23, N = 3SE +/- 18.48, N = 3SE +/- 39.86, N = 3SE +/- 55.63, N = 3331871457983898211105109296964998087321373219855284763052829558

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX10K20K30K40K50KSE +/- 15.90, N = 3SE +/- 51.10, N = 3SE +/- 10.84, N = 3SE +/- 3.61, N = 3SE +/- 15.76, N = 3SE +/- 1.33, N = 3SE +/- 5.17, N = 3SE +/- 2.00, N = 3SE +/- 40.83, N = 3SE +/- 10.84, N = 3SE +/- 11.86, N = 3SE +/- 82.86, N = 3SE +/- 231.35, N = 3SE +/- 105.08, N = 3482511533117181322016778172881224217289138332168529650423144637744164

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX2K4K6K8K10KSE +/- 4.00, N = 3SE +/- 2.67, N = 3SE +/- 6.23, N = 3SE +/- 10.50, N = 3SE +/- 31.83, N = 3SE +/- 8.41, N = 3SE +/- 8.21, N = 3SE +/- 18.33, N = 3SE +/- 6.01, N = 3SE +/- 1.15, N = 3SE +/- 15.93, N = 3SE +/- 38.04, N = 3SE +/- 71.50, N = 28512190272330343879413526573877382355816589919198849401

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 2.3.2GTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTXNVIDIA TITAN RTX60120180240300SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.64, N = 3SE +/- 0.86, N = 342.0473.3590.44101.00114.29121.00102.90140.29155.00197.70236.54294.39297.0086.75

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 AtomsGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX0.45560.91121.36681.82242.278SE +/- 0.00740, N = 3SE +/- 0.00335, N = 3SE +/- 0.00115, N = 3SE +/- 0.00050, N = 3SE +/- 0.00149, N = 3SE +/- 0.00310, N = 3SE +/- 0.00245, N = 3SE +/- 0.00143, N = 3SE +/- 0.00033, N = 3SE +/- 0.00185, N = 3SE +/- 0.00151, N = 3SE +/- 0.00093, N = 3SE +/- 0.00154, N = 32.024800.384760.356240.326510.283800.268660.314930.242830.208890.199740.191730.188480.18773

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 LBMGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX20406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 380.3226.4521.9020.1314.0513.4819.7314.9022.2614.167.275.434.981. (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 FilterGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX510152025SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 322.6015.0613.3011.8010.229.0312.038.306.544.976.174.454.261. (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 2.4.1Test: Server Room - Acceleration: OpenCLNVIDIA TITAN RTX0.10580.21160.31740.42320.529SE +/- 0.01, N = 120.47

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Boat - Acceleration: OpenCLGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.325.304.493.953.273.113.652.872.722.271.881.621.61

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.1Test: Boat - Acceleration: OpenCLNVIDIA TITAN RTX0.090.180.270.360.45SE +/- 0.00, N = 30.40

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX0.77851.5572.33553.1143.8925SE +/- 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 = 33.193.463.103.061.521.361.311.101.121.020.800.730.73

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 1.19, N = 3SE +/- 16.34, N = 3SE +/- 18.00, N = 3SE +/- 6.22, N = 3SE +/- 21.99, N = 3SE +/- 23.76, N = 3SE +/- 2.40, N = 3SE +/- 18.17, N = 3SE +/- 11.35, N = 3SE +/- 18.09, N = 3SE +/- 652.84, N = 3SE +/- 697.03, N = 3SE +/- 1168.75, N = 355896311381302161617831295168424503366101991484015398

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX110220330440550SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.70, N = 3SE +/- 0.23, N = 3SE +/- 0.74, N = 3SE +/- 1.05, N = 3141263143164264263147196222329368505528

Parboil

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

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenCL TPACFGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1.02832.05663.08494.11325.1415SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 34.573.291.541.411.391.361.411.081.060.770.880.640.631. (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 PrecisionGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX4K8K12K16K20KSE +/- 1.39, N = 3SE +/- 3.73, N = 3SE +/- 0.45, N = 3SE +/- 4.70, N = 3SE +/- 1.73, N = 3SE +/- 6.28, N = 3SE +/- 0.64, N = 3SE +/- 48.40, N = 3SE +/- 9.71, N = 3SE +/- 548.77, N = 3SE +/- 1.47, N = 3SE +/- 21.81, N = 3SE +/- 8.55, N = 3253541654144471458606557439264108570116051102916175173241. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX100200300400500SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.60, N = 3SE +/- 0.54, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.36, N = 3SE +/- 0.29, N = 3SE +/- 1.76, N = 3SE +/- 19.15, N = 3SE +/- 2.01, N = 3SE +/- 0.06, N = 3SE +/- 8.49, N = 31402461371591972221512232934002924344601. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX70140210280350Min: 50.3 / Avg: 203.09 / Max: 273.6Min: 48.8 / Avg: 259.55 / Max: 403Min: 46.7 / Avg: 179.09 / Max: 308.2Min: 46.3 / Avg: 185.06 / Max: 322.4Min: 48.1 / Avg: 227.73 / Max: 361.6Min: 50.9 / Avg: 233.27 / Max: 381.9Min: 39.8 / Avg: 138.9 / Max: 260.2Min: 41.6 / Avg: 170.61 / Max: 279.3Min: 41 / Avg: 172.69 / Max: 317.8Min: 47.7 / Avg: 225.64 / Max: 372.1Min: 43.9 / Avg: 216.88 / Max: 339.3Min: 45 / Avg: 279.87 / Max: 376Min: 45.6 / Avg: 254.52 / Max: 364.2

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 39 / Avg: 74.35 / Max: 80Min: 41 / Avg: 74.8 / Max: 83Min: 31 / Avg: 54.51 / Max: 63Min: 35 / Avg: 71.02 / Max: 81Min: 35 / Avg: 76 / Max: 83Min: 41 / Avg: 75.99 / Max: 84Min: 35 / Avg: 58.54 / Max: 68Min: 32 / Avg: 65.36 / Max: 75Min: 33 / Avg: 64.13 / Max: 75Min: 37 / Avg: 69.67 / Max: 82Min: 36 / Avg: 72.15 / Max: 83Min: 34 / Avg: 67.03 / Max: 77Min: 35 / Avg: 64.14 / Max: 79

GROMACS

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2018.3System Power Consumption MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX70140210280350Min: 54.7 / Avg: 235.38 / Max: 241.1Min: 51.7 / Avg: 328.69 / Max: 347.1Min: 56.5 / Avg: 229.2 / Max: 236Min: 64.6 / Avg: 246.99 / Max: 257.2Min: 50.7 / Avg: 284.77 / Max: 299.4Min: 54.9 / Avg: 305.56 / Max: 321.8Min: 41.1 / Avg: 191.64 / Max: 197.1Min: 44.4 / Avg: 221.47 / Max: 231.7Min: 45.9 / Avg: 247.86 / Max: 260.3Min: 52.1 / Avg: 297.55 / Max: 322.1Min: 48.7 / Avg: 283.1 / Max: 311.1Min: 50.7 / Avg: 316.38 / Max: 366.5Min: 52 / Avg: 315.63 / Max: 367.3

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2018.3GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 63 / Avg: 78.24 / Max: 80Min: 68 / Avg: 81.06 / Max: 83Min: 46 / Avg: 61.09 / Max: 63Min: 65 / Avg: 78.37 / Max: 81Min: 68 / Avg: 80.28 / Max: 82Min: 68 / Avg: 81.08 / Max: 83Min: 55 / Avg: 66.01 / Max: 68Min: 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: 67.33 / Max: 69Min: 34 / Avg: 59.53 / Max: 68

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2018.3Water BenchmarkGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX0.00450.0090.01350.0180.02250.010.010.010.010.010.010.020.020.020.020.020.020.02

LuxMark

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 65 / Avg: 76.97 / Max: 78Min: 68 / Avg: 80.15 / Max: 82Min: 44 / Avg: 59.56 / Max: 61Min: 66 / Avg: 78.75 / Max: 80Min: 70 / Avg: 80.85 / Max: 83Min: 71 / Avg: 82.06 / Max: 84Min: 52 / Avg: 65.01 / Max: 67Min: 60 / Avg: 72.99 / Max: 75Min: 59 / Avg: 71.85 / Max: 74Min: 64 / Avg: 79.57 / Max: 82Min: 67 / Avg: 81.22 / Max: 83Min: 69 / Avg: 75.27 / Max: 77Min: 64 / Avg: 76.92 / Max: 79

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX7142128354.187.8613.8814.4215.3415.0717.4319.9419.2520.1925.3527.6028.38

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 70 / Avg: 76.4 / Max: 77Min: 69 / Avg: 77.45 / Max: 79Min: 48 / Avg: 54.41 / Max: 56Min: 66 / Avg: 75.1 / Max: 77Min: 70 / Avg: 78.82 / Max: 81Min: 70 / Avg: 80.18 / Max: 82Min: 55 / Avg: 59.7 / Max: 61Min: 61 / Avg: 67.15 / Max: 68Min: 60 / Avg: 65.1 / Max: 66Min: 65 / Avg: 72.74 / Max: 74Min: 68 / Avg: 78.74 / Max: 80Min: 63 / Avg: 73.96 / Max: 75Min: 65 / Avg: 75.76 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX2040608010016.6027.4045.6247.3647.6345.0351.7859.8051.8458.5881.9788.7690.44

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 63 / Avg: 76.31 / Max: 77Min: 66 / Avg: 78.93 / Max: 81Min: 42 / Avg: 54.27 / Max: 56Min: 61 / Avg: 74.29 / Max: 77Min: 68 / Avg: 78.61 / Max: 80Min: 68 / Avg: 80.35 / Max: 83Min: 52 / Avg: 61.07 / Max: 63Min: 61 / Avg: 68.03 / Max: 70Min: 59 / Avg: 65.98 / Max: 68Min: 65 / Avg: 73.06 / Max: 75Min: 64 / Avg: 78.64 / Max: 81Min: 57 / Avg: 72.82 / Max: 75Min: 57 / Avg: 74.29 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX30609012015023.8742.0966.8769.1672.9769.0786.5498.9079.8490.50121.95131.47136.91

FAHBench

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

OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1530456075Min: 58 / Avg: 68.78 / Max: 76Min: 55 / Avg: 66.7 / Max: 76Min: 36 / Avg: 47.03 / Max: 55Min: 53 / Avg: 63.19 / Max: 72Min: 59 / Avg: 69.03 / Max: 77Min: 58 / Avg: 69.48 / Max: 79Min: 41 / Avg: 51.72 / Max: 61Min: 48 / Avg: 58.17 / Max: 67Min: 47 / Avg: 58.51 / Max: 67Min: 50 / Avg: 61.9 / Max: 72Min: 48 / Avg: 64 / Max: 76Min: 44 / Avg: 56.67 / Max: 67Min: 40 / Avg: 54.98 / Max: 67

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2GTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX0.30830.61660.92491.23321.54150.260.340.620.650.610.640.850.971.001.051.311.371.37

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX70140210280350Min: 51.5 / Avg: 264.88 / Max: 273.6Min: 51.9 / Avg: 330.2 / Max: 403Min: 47.7 / Avg: 247.44 / Max: 308.2Min: 48.1 / Avg: 265.81 / Max: 321.7Min: 52.5 / Avg: 302.56 / Max: 361.6Min: 52.6 / Avg: 316.4 / Max: 381.9Min: 41.6 / Avg: 209.4 / Max: 260.2Min: 169.7 / Avg: 243.01 / Max: 279.3Min: 43.3 / Avg: 235.74 / Max: 317.8Min: 53.4 / Avg: 280.69 / Max: 372.1Min: 48.5 / Avg: 263.5 / Max: 339.3Min: 50.7 / Avg: 249.46 / Max: 376Min: 52.4 / Avg: 209.26 / Max: 364.2

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.13GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 65 / Avg: 74.48 / Max: 76Min: 69 / Avg: 75.17 / Max: 80Min: 44 / Avg: 55.64 / Max: 62Min: 65 / Avg: 74.6 / Max: 78Min: 69 / Avg: 74.67 / Max: 79Min: 69 / Avg: 76.22 / Max: 82Min: 51 / Avg: 59.4 / Max: 64Min: 60 / Avg: 64 / Max: 67Min: 61 / Avg: 65.14 / Max: 68Min: 65 / Avg: 68.86 / Max: 72Min: 67 / Avg: 69.38 / Max: 72Min: 61 / Avg: 64.29 / Max: 66Min: 54 / Avg: 58.93 / Max: 64

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 52.5 / Avg: 182.48 / Max: 212.3Min: 51.7 / Avg: 254.01 / Max: 275.1Min: 46.7 / Avg: 153.05 / Max: 214.5Min: 47.5 / Avg: 168.73 / Max: 191.8Min: 51.2 / Avg: 214.75 / Max: 243.1Min: 54 / Avg: 230.17 / Max: 258.6Min: 40 / Avg: 115.29 / Max: 177Min: 41.6 / Avg: 148.64 / Max: 170Min: 41.9 / Avg: 161.36 / Max: 183Min: 64 / Avg: 226.55 / Max: 252.1Min: 77 / Avg: 230.22 / Max: 269.5Min: 45.3 / Avg: 299.31 / Max: 329.8Min: 46.6 / Avg: 315.28 / Max: 350

OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 4.00GPU Temperature MonitorGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX1632486480Min: 46 / Avg: 73.49 / Max: 77Min: 50 / Avg: 77.49 / Max: 81Min: 34 / Avg: 53.66 / Max: 58Min: 42 / Avg: 70.42 / Max: 78Min: 46 / Avg: 76.56 / Max: 81Min: 49 / Avg: 78.6 / Max: 83Min: 37 / Avg: 56.47 / Max: 60Min: 38 / Avg: 62.99 / Max: 69Min: 40 / Avg: 64.51 / Max: 70Min: 45 / Avg: 71.21 / Max: 76Min: 38 / Avg: 75.21 / Max: 83Min: 34 / Avg: 68.08 / Max: 75Min: 37 / Avg: 71.03 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreGTX 680GTX 780 TiGTX 970GTX 980GTX 980 TiGTX TITAN X GM200GTX 1060GTX 1070GTX 1080GTX 1080 TiRTX 2080RTX 2080 TiTITAN RTX0.22950.4590.68850.9181.14750.200.430.630.660.670.660.800.900.920.940.961.011.02

40 Results Shown

GROMACS
OctaneBench
LuxMark:
  GPU - Microphone
  GPU - Luxball HDR
  GPU - Hotel
FAHBench
NAMD CUDA
Parboil
Rodinia
Darktable:
  Server Room - OpenCL
  Boat - OpenCL
  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

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.

NVIDIA TITAN RTX

Processor: Intel Xeon W-2155 @ 3.31GHz (10 Cores / 20 Threads), Motherboard: Dell 0X8DXD, Memory: 4 x 16384 MB 2666MHz Hynix HMA82GR7AFR8N-VK, Disk: 477GB NVMe KXG50ZNV512G NVM, Graphics: NVIDIA TITAN RTX 24GB (2100/7001MHz), Network: Intel Connection (5) I219-LM + Realtek USB GbE Family

OS: Microsoft Windows 10 Enterprise Build 17763, Kernel: 10.0 (x86_64), Display Driver: 417.71 (25.21.14.1771), Compiler: GCC 4.9.3, File-System: NTFS, Screen Resolution: 1920x1080

Testing initiated at 22 January 2019 16:10 by user GiacomoLePera.