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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Identifier
Performance Per
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Date
Run
  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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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

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 ResolutionTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970NVIDIA 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 TITAN RTX 24GB (1350/7000MHz)Realtek ALC1220Acer B286HKIntel ConnectionUbuntu 18.044.19.5-041905-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6NVIDIA 415.234.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 7.3.0 + LLVM 6.0.0 + CUDA 10.0ext43840x2160NVIDIA 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)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- TITAN RTX, GTX TITAN X GM200, GTX 980, GTX 1080, GTX 780 Ti, GTX 1060, RTX 2080, GTX 1080 Ti, GTX 1070, GTX 680, GTX 980 Ti, RTX 2080 Ti, GTX 970: --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- TITAN RTX, GTX TITAN X GM200, GTX 980, GTX 1080, GTX 780 Ti, GTX 1060, RTX 2080, GTX 1080 Ti, GTX 1070, GTX 680, GTX 980 Ti, RTX 2080 Ti, GTX 970: Scaling Governor: intel_pstate performanceOpenCL Details- 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: 1664Python Details- TITAN RTX, GTX TITAN X GM200, GTX 980, GTX 1080, GTX 780 Ti, GTX 1060, RTX 2080, GTX 1080 Ti, GTX 1070, GTX 680, GTX 980 Ti, RTX 2080 Ti, GTX 970: Python 2.7.15rc1 + Python 3.6.7Security Details- TITAN RTX, GTX TITAN X GM200, GTX 980, GTX 1080, GTX 780 Ti, GTX 1060, RTX 2080, GTX 1080 Ti, GTX 1070, GTX 680, GTX 980 Ti, RTX 2080 Ti, GTX 970: __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 970NVIDIA 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 PrecisionTITAN RTXGTX TITAN X GM200GTX 980GTX 1080GTX 780 TiGTX 1060RTX 2080GTX 1080 TiGTX 1070GTX 680GTX 980 TiRTX 2080 TiGTX 970NVIDIA TITAN RTX6.42321305284637798842970.187734.984.261.610.73153985280.63173244603.75152109291728841351210.2686613.489.033.111.3617832631.3665572223.0111189821322030341010.3265120.1311.803.953.0613021641.4147141594.2914887321383338231550.2088922.266.542.721.1224502221.0685702932.72109714511533219073.350.3847626.4515.065.303.469632633.2941652462.9791.766964122422657102.900.3149319.7312.033.651.3112951471.4143921515.95220.3919855296506589236.540.191737.276.171.880.80101993680.88110292925.18212.1813732216855581197.700.1997414.164.972.271.0233663290.77116054003.77133.109980172893877140.290.2428314.908.302.871.1016841961.0864102231.6835.803318482585142.042.0248080.3222.607.323.195581414.5725351403.53143.7211105167783879114.290.2838014.0510.223.271.5216162641.3958601976.65303.7128476423149191294.390.188485.434.451.620.73148405050.64161754342.7596.71798311718272390.440.3562421.9013.304.493.1011381431.544144137308.432955844164940186.750.470.40OpenBenchmarking.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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX246810SE +/- 0.00, N = 3SE +/- 0.02, 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 +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.756.653.531.683.775.185.952.972.724.293.013.756.421. (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 ScoreNVIDIA TITAN RTXGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX70140210280350308.4396.71303.71143.7235.80133.10212.18220.3991.76109.00148.00111.00152.00321.00

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: MicrophoneNVIDIA TITAN RTXGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX7K14K21K28K35KSE +/- 55.63, N = 3SE +/- 1.86, N = 3SE +/- 18.48, N = 3SE +/- 23.78, N = 3SE +/- 5.33, N = 3SE +/- 1.20, N = 3SE +/- 12.67, N = 3SE +/- 30.23, N = 3SE +/- 30.33, N = 3SE +/- 15.59, N = 3SE +/- 40.54, N = 3SE +/- 20.28, N = 3SE +/- 39.86, N = 3295587983284761110533189980137321985569647145873289821092930528

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRNVIDIA TITAN RTXGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX10K20K30K40K50KSE +/- 105.08, N = 3SE +/- 10.84, N = 3SE +/- 82.86, N = 3SE +/- 15.76, N = 3SE +/- 15.90, N = 3SE +/- 2.00, N = 3SE +/- 10.84, N = 3SE +/- 11.86, N = 3SE +/- 5.17, N = 3SE +/- 51.10, N = 3SE +/- 40.83, N = 3SE +/- 3.61, N = 3SE +/- 1.33, N = 3SE +/- 231.35, N = 3441641171842314167784825172892168529650122421153313833132201728846377

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelNVIDIA TITAN RTXGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX2K4K6K8K10KSE +/- 71.50, N = 2SE +/- 15.93, N = 3SE +/- 10.50, N = 3SE +/- 4.00, N = 3SE +/- 8.21, N = 3SE +/- 6.01, N = 3SE +/- 1.15, N = 3SE +/- 8.41, N = 3SE +/- 2.67, N = 3SE +/- 18.33, N = 3SE +/- 6.23, N = 3SE +/- 31.83, N = 3SE +/- 38.04, N = 39401272391913879851387755816589265721903823303441359884

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 2.3.2NVIDIA TITAN RTXGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300SE +/- 0.86, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.64, N = 386.7590.44294.39114.2942.04140.29197.70236.54102.9073.35155.00101.00121.00297.00

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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX0.45560.91121.36681.82242.278SE +/- 0.00115, N = 3SE +/- 0.00093, N = 3SE +/- 0.00149, N = 3SE +/- 0.00740, N = 3SE +/- 0.00143, N = 3SE +/- 0.00185, N = 3SE +/- 0.00151, N = 3SE +/- 0.00245, N = 3SE +/- 0.00335, N = 3SE +/- 0.00033, N = 3SE +/- 0.00050, N = 3SE +/- 0.00310, N = 3SE +/- 0.00154, N = 30.356240.188480.283802.024800.242830.199740.191730.314930.384760.208890.326510.268660.18773

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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.905.4314.0580.3214.9014.167.2719.7326.4522.2620.1313.484.981. (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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX510152025SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 313.304.4510.2222.608.304.976.1712.0315.066.5411.809.034.261. (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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.491.623.277.322.872.271.883.655.302.723.953.111.61

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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN 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 = 33.100.731.523.191.101.020.801.313.461.123.061.360.73

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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX3K6K9K12K15KSE +/- 18.00, N = 3SE +/- 697.03, N = 3SE +/- 21.99, N = 3SE +/- 1.19, N = 3SE +/- 18.17, N = 3SE +/- 18.09, N = 3SE +/- 652.84, N = 3SE +/- 2.40, N = 3SE +/- 16.34, N = 3SE +/- 11.35, N = 3SE +/- 6.22, N = 3SE +/- 23.76, N = 3SE +/- 1168.75, N = 311381484016165581684336610199129596324501302178315398

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX110220330440550SE +/- 0.01, N = 3SE +/- 0.74, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.70, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 1.05, N = 3143505264141196329368147263222164263528

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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1.02832.05663.08494.11325.1415SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 31.540.641.394.571.080.770.881.413.291.061.411.360.631. (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 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX4K8K12K16K20KSE +/- 0.45, N = 3SE +/- 21.81, N = 3SE +/- 1.73, N = 3SE +/- 1.39, N = 3SE +/- 48.40, N = 3SE +/- 548.77, N = 3SE +/- 1.47, N = 3SE +/- 0.64, N = 3SE +/- 3.73, N = 3SE +/- 9.71, N = 3SE +/- 4.70, N = 3SE +/- 6.28, N = 3SE +/- 8.55, N = 3414416175586025356410116051102943924165857047146557173241. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Double PrecisionGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX100200300400500SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 19.15, N = 3SE +/- 2.01, N = 3SE +/- 0.36, N = 3SE +/- 0.28, N = 3SE +/- 1.76, N = 3SE +/- 0.54, N = 3SE +/- 0.20, N = 3SE +/- 8.49, N = 31374341971402234002921512462931592224601. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX70140210280350Min: 46.7 / Avg: 179.09 / Max: 308.2Min: 45 / Avg: 279.87 / Max: 376Min: 48.1 / Avg: 227.73 / Max: 361.6Min: 50.3 / Avg: 203.09 / Max: 273.6Min: 41.6 / Avg: 170.61 / Max: 279.3Min: 47.7 / Avg: 225.64 / Max: 372.1Min: 43.9 / Avg: 216.88 / Max: 339.3Min: 39.8 / Avg: 138.9 / Max: 260.2Min: 48.8 / Avg: 259.55 / Max: 403Min: 41 / Avg: 172.69 / Max: 317.8Min: 46.3 / Avg: 185.06 / Max: 322.4Min: 50.9 / Avg: 233.27 / Max: 381.9Min: 45.6 / Avg: 254.52 / Max: 364.2

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 31 / Avg: 54.51 / Max: 63Min: 34 / Avg: 67.03 / Max: 77Min: 35 / Avg: 76 / Max: 83Min: 39 / Avg: 74.35 / Max: 80Min: 32 / Avg: 65.36 / Max: 75Min: 37 / Avg: 69.67 / Max: 82Min: 36 / Avg: 72.15 / Max: 83Min: 35 / Avg: 58.54 / Max: 68Min: 41 / Avg: 74.8 / Max: 83Min: 33 / Avg: 64.13 / Max: 75Min: 35 / Avg: 71.02 / Max: 81Min: 41 / Avg: 75.99 / Max: 84Min: 35 / Avg: 64.14 / Max: 79

GROMACS

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2018.3System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX70140210280350Min: 56.5 / Avg: 229.2 / Max: 236Min: 50.7 / Avg: 316.38 / Max: 366.5Min: 50.7 / Avg: 284.77 / Max: 299.4Min: 54.7 / Avg: 235.38 / Max: 241.1Min: 44.4 / Avg: 221.47 / Max: 231.7Min: 52.1 / Avg: 297.55 / Max: 322.1Min: 48.7 / Avg: 283.1 / Max: 311.1Min: 41.1 / Avg: 191.64 / Max: 197.1Min: 51.7 / Avg: 328.69 / Max: 347.1Min: 45.9 / Avg: 247.86 / Max: 260.3Min: 64.6 / Avg: 246.99 / Max: 257.2Min: 54.9 / Avg: 305.56 / Max: 321.8Min: 52 / Avg: 315.63 / Max: 367.3

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2018.3GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 46 / Avg: 61.09 / Max: 63Min: 63 / Avg: 67.33 / Max: 69Min: 68 / Avg: 80.28 / Max: 82Min: 63 / Avg: 78.24 / Max: 80Min: 63 / Avg: 70.08 / Max: 72Min: 67 / Avg: 75.12 / Max: 78Min: 67 / Avg: 76.94 / Max: 80Min: 55 / Avg: 66.01 / Max: 68Min: 68 / Avg: 81.06 / Max: 83Min: 64 / Avg: 72.7 / Max: 75Min: 65 / Avg: 78.37 / Max: 81Min: 68 / Avg: 81.08 / Max: 83Min: 34 / Avg: 59.53 / Max: 68

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2018.3Water BenchmarkGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX0.00450.0090.01350.0180.02250.010.020.010.010.020.020.020.020.010.020.010.010.02

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300Min: 103.6 / Avg: 196.12 / Max: 199.4Min: 57.5 / Avg: 333.06 / Max: 343.7Min: 52.3 / Avg: 252.9 / Max: 262.4Min: 53.1 / Avg: 203.67 / Max: 217.6Min: 86.5 / Avg: 194.45 / Max: 198.9Min: 52.6 / Avg: 276.43 / Max: 282.9Min: 48.7 / Avg: 259.96 / Max: 273.4Min: 44.6 / Avg: 152.45 / Max: 155.7Min: 62 / Avg: 278.61 / Max: 295.9Min: 41.3 / Avg: 198.56 / Max: 204.2Min: 48.3 / Avg: 210.38 / Max: 218.6Min: 54.9 / Avg: 274.3 / Max: 283.5Min: 51.9 / Avg: 348.23 / Max: 358

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 44 / Avg: 59.56 / Max: 61Min: 69 / Avg: 75.27 / Max: 77Min: 70 / Avg: 80.85 / Max: 83Min: 65 / Avg: 76.97 / Max: 78Min: 60 / Avg: 72.99 / Max: 75Min: 64 / Avg: 79.57 / Max: 82Min: 67 / Avg: 81.22 / Max: 83Min: 52 / Avg: 65.01 / Max: 67Min: 68 / Avg: 80.15 / Max: 82Min: 59 / Avg: 71.85 / Max: 74Min: 66 / Avg: 78.75 / Max: 80Min: 71 / Avg: 82.06 / Max: 84Min: 64 / Avg: 76.92 / Max: 79

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX71421283513.8827.6015.344.1819.9420.1925.3517.437.8619.2514.4215.0728.38

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300Min: 47.6 / Avg: 175.01 / Max: 177.8Min: 52.6 / Avg: 320.82 / Max: 326.8Min: 141.3 / Avg: 233.13 / Max: 237.6Min: 53.7 / Avg: 199.93 / Max: 208.6Min: 42.1 / Avg: 166.89 / Max: 170.5Min: 136.6 / Avg: 234.43 / Max: 239.4Min: 89.2 / Avg: 242.23 / Max: 250.6Min: 41 / Avg: 134.5 / Max: 137.4Min: 50.6 / Avg: 260.76 / Max: 277Min: 43.1 / Avg: 168.45 / Max: 171.2Min: 48.2 / Avg: 189.64 / Max: 194.3Min: 55 / Avg: 242.7 / Max: 250.6Min: 134 / Avg: 337.53 / Max: 344.3

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 48 / Avg: 54.41 / Max: 56Min: 63 / Avg: 73.96 / Max: 75Min: 70 / Avg: 78.82 / Max: 81Min: 70 / Avg: 76.4 / Max: 77Min: 61 / Avg: 67.15 / Max: 68Min: 65 / Avg: 72.74 / Max: 74Min: 68 / Avg: 78.74 / Max: 80Min: 55 / Avg: 59.7 / Max: 61Min: 69 / Avg: 77.45 / Max: 79Min: 60 / Avg: 65.1 / Max: 66Min: 66 / Avg: 75.1 / Max: 77Min: 70 / Avg: 80.18 / Max: 82Min: 65 / Avg: 75.76 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX2040608010045.6288.7647.6316.6059.8058.5881.9751.7827.4051.8447.3645.0390.44

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300Min: 47.3 / Avg: 175.22 / Max: 178.9Min: 181.3 / Avg: 321.85 / Max: 333.1Min: 53.1 / Avg: 229.94 / Max: 237.8Min: 54.7 / Avg: 202.18 / Max: 205.4Min: 44.3 / Avg: 174.82 / Max: 179.8Min: 47.7 / Avg: 239.62 / Max: 245.3Min: 49.4 / Avg: 243.13 / Max: 253.5Min: 40.9 / Avg: 141.45 / Max: 144.9Min: 50.5 / Avg: 273.99 / Max: 288.7Min: 43.5 / Avg: 173.25 / Max: 177.2Min: 48.3 / Avg: 191.15 / Max: 198.1Min: 54.6 / Avg: 250.3 / Max: 257.9Min: 184.5 / Avg: 338.75 / Max: 347.9

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 42 / Avg: 54.27 / Max: 56Min: 57 / Avg: 72.82 / Max: 75Min: 68 / Avg: 78.61 / Max: 80Min: 63 / Avg: 76.31 / Max: 77Min: 61 / Avg: 68.03 / Max: 70Min: 65 / Avg: 73.06 / Max: 75Min: 64 / Avg: 78.64 / Max: 81Min: 52 / Avg: 61.07 / Max: 63Min: 66 / Avg: 78.93 / Max: 81Min: 59 / Avg: 65.98 / Max: 68Min: 61 / Avg: 74.29 / Max: 77Min: 68 / Avg: 80.35 / Max: 83Min: 57 / Avg: 74.29 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX30609012015066.87131.4772.9723.8798.9090.50121.9586.5442.0979.8469.1669.07136.91

FAHBench

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300Min: 71.9 / Avg: 147.03 / Max: 186.3Min: 48.3 / Avg: 215.05 / Max: 315.1Min: 77.5 / Avg: 186.46 / Max: 236.1Min: 85.3 / Avg: 161.55 / Max: 208.9Min: 70.3 / Avg: 144.57 / Max: 189.2Min: 48.4 / Avg: 187.72 / Max: 258.3Min: 44.3 / Avg: 180.63 / Max: 260.2Min: 40.5 / Avg: 120.84 / Max: 154.8Min: 74.2 / Avg: 213.5 / Max: 287.5Min: 42.2 / Avg: 154.69 / Max: 203.6Min: 71.8 / Avg: 154.93 / Max: 207.1Min: 79.2 / Avg: 188.72 / Max: 251.2Min: 71.5 / Avg: 216.97 / Max: 307.4

OpenBenchmarking.orgCelsius, Fewer Is BetterFAHBench 2.3.2GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1530456075Min: 36 / Avg: 47.03 / Max: 55Min: 44 / Avg: 56.67 / Max: 67Min: 59 / Avg: 69.03 / Max: 77Min: 58 / Avg: 68.78 / Max: 76Min: 48 / Avg: 58.17 / Max: 67Min: 50 / Avg: 61.9 / Max: 72Min: 48 / Avg: 64 / Max: 76Min: 41 / Avg: 51.72 / Max: 61Min: 55 / Avg: 66.7 / Max: 76Min: 47 / Avg: 58.51 / Max: 67Min: 53 / Avg: 63.19 / Max: 72Min: 58 / Avg: 69.48 / Max: 79Min: 40 / Avg: 54.98 / Max: 67

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2GTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX0.30830.61660.92491.23321.54150.621.370.610.260.971.051.310.850.341.000.650.641.37

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX70140210280350Min: 47.7 / Avg: 247.44 / Max: 308.2Min: 50.7 / Avg: 249.46 / Max: 376Min: 52.5 / Avg: 302.56 / Max: 361.6Min: 51.5 / Avg: 264.88 / Max: 273.6Min: 169.7 / Avg: 243.01 / Max: 279.3Min: 53.4 / Avg: 280.69 / Max: 372.1Min: 48.5 / Avg: 263.5 / Max: 339.3Min: 41.6 / Avg: 209.4 / Max: 260.2Min: 51.9 / Avg: 330.2 / Max: 403Min: 43.3 / Avg: 235.74 / Max: 317.8Min: 48.1 / Avg: 265.81 / Max: 321.7Min: 52.6 / Avg: 316.4 / Max: 381.9Min: 52.4 / Avg: 209.26 / Max: 364.2

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.13GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 44 / Avg: 55.64 / Max: 62Min: 61 / Avg: 64.29 / Max: 66Min: 69 / Avg: 74.67 / Max: 79Min: 65 / Avg: 74.48 / Max: 76Min: 60 / Avg: 64 / Max: 67Min: 65 / Avg: 68.86 / Max: 72Min: 67 / Avg: 69.38 / Max: 72Min: 51 / Avg: 59.4 / Max: 64Min: 69 / Avg: 75.17 / Max: 80Min: 61 / Avg: 65.14 / Max: 68Min: 65 / Avg: 74.6 / Max: 78Min: 69 / Avg: 76.22 / Max: 82Min: 54 / Avg: 58.93 / Max: 64

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX60120180240300Min: 46.7 / Avg: 153.05 / Max: 214.5Min: 45.3 / Avg: 299.31 / Max: 329.8Min: 51.2 / Avg: 214.75 / Max: 243.1Min: 52.5 / Avg: 182.48 / Max: 212.3Min: 41.6 / Avg: 148.64 / Max: 170Min: 64 / Avg: 226.55 / Max: 252.1Min: 77 / Avg: 230.22 / Max: 269.5Min: 40 / Avg: 115.29 / Max: 177Min: 51.7 / Avg: 254.01 / Max: 275.1Min: 41.9 / Avg: 161.36 / Max: 183Min: 47.5 / Avg: 168.73 / Max: 191.8Min: 54 / Avg: 230.17 / Max: 258.6Min: 46.6 / Avg: 315.28 / Max: 350

OpenBenchmarking.orgCelsius, Fewer Is BetterOctaneBench 4.00GPU Temperature MonitorGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX1632486480Min: 34 / Avg: 53.66 / Max: 58Min: 34 / Avg: 68.08 / Max: 75Min: 46 / Avg: 76.56 / Max: 81Min: 46 / Avg: 73.49 / Max: 77Min: 38 / Avg: 62.99 / Max: 69Min: 45 / Avg: 71.21 / Max: 76Min: 38 / Avg: 75.21 / Max: 83Min: 37 / Avg: 56.47 / Max: 60Min: 50 / Avg: 77.49 / Max: 81Min: 40 / Avg: 64.51 / Max: 70Min: 42 / Avg: 70.42 / Max: 78Min: 49 / Avg: 78.6 / Max: 83Min: 37 / Avg: 71.03 / Max: 77

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreGTX 970RTX 2080 TiGTX 980 TiGTX 680GTX 1070GTX 1080 TiRTX 2080GTX 1060GTX 780 TiGTX 1080GTX 980GTX TITAN X GM200TITAN RTX0.22950.4590.68850.9181.14750.631.010.670.200.900.940.960.800.430.920.660.661.02

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

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.

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.