NVIDIA GeForce RTX Compute

GeForce RTX 2060 Linux benchmarks by Michael Larabel for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1901080-SP-RTX2060GP99
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Identifier
Performance Per
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Date
Run
  Test
  Duration
GTX 960
January 06 2019
  26 Minutes
GTX 970
January 07 2019
  39 Minutes
GTX 980
January 07 2019
  39 Minutes
GTX 980 Ti
January 07 2019
  56 Minutes
GTX 1060
January 06 2019
  1 Hour, 3 Minutes
GTX 1070
January 06 2019
  56 Minutes
GTX 1070 Ti
January 06 2019
  55 Minutes
GTX 1080
January 07 2019
  54 Minutes
GTX 1080 Ti
January 05 2019
  50 Minutes
RTX 2060
January 07 2019
  56 Minutes
RTX 2070
January 05 2019
  52 Minutes
RTX 2080
January 06 2019
  51 Minutes
RTX 2080 Ti
January 05 2019
  48 Minutes
TITAN RTX
January 05 2019
  47 Minutes
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  49 Minutes

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GTX 960

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 960 2GB (1277/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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: 1024
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

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 (1164/3505MHz).

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 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 1070 Ti

Changed Graphics to Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz).

OpenCL Change: GPU Compute Cores: 2432

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 2060

Changed Graphics to Device 6GB (1365/7000MHz).

OpenCL Change: GPU Compute Cores: 1920

RTX 2070

Changed Graphics to ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz).

OpenCL Change: GPU Compute Cores: 2304

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 GeForce RTX ComputeOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MB2000GB SABRENT + Samsung SSD 970 EVO 250GBeVGA NVIDIA GeForce GTX 960 2GB (1277/3505MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GeForce GTX 980 4GB (1164/3505MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)Device 6GB (1365/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 18.044.20.0-042000-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6NVIDIA 415.254.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 7.3.0 + LLVM 6.0.0 + CUDA 10.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GeForce RTX Compute BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance- GTX 960: GPU Compute Cores: 1024- GTX 970: GPU Compute Cores: 1664- GTX 980: GPU Compute Cores: 2048- GTX 980 Ti: GPU Compute Cores: 2816- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- RTX 2060: GPU Compute Cores: 1920- RTX 2070: GPU Compute Cores: 2304- RTX 2080: GPU Compute Cores: 2944- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

GTX 960GTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTXResult OverviewPhoronix Test Suite100%241%382%523%664%LuxMarkclpeakMixbenchFAHBenchNAMD CUDA

GTX 960GTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTXPer Watt Result OverviewPhoronix Test Suite100%147%195%242%290%LuxMarkFAHBenchLuxMarkLuxMarkGPU - MicrophoneGPU - Luxball HDRGPU - Hotel

NVIDIA GeForce RTX Computeoctanebench: Total Scoreluxmark: GPU - Microphoneluxmark: GPU - Hotelluxmark: GPU - Luxball HDRfahbench: ngc-tensorflow: Inception v4, FP16v-ray: CUDA GPUngc-tensorflow: Googlenet, FP16ngc-tensorflow: ResNet-50, FP16ngc-tensorflow: VGG-16, FP16ngc-tensorflow: AlexNet, FP32ngc-tensorflow: AlexNet, FP16namd-cuda: ATPase Simulation - 327,506 Atomsclpeak: Global Memory Bandwidthmixbench: Single Precisionclpeak: Single-Precision FloatGTX 960GTX 970GTX 980GTX 980 TiGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2060RTX 2070RTX 2080RTX 2080 TiTITAN RTX42591662673060.950.5120782.182768264096.18782727181171190.17124.710.36490143.4141403904110.448674302013198101.11111.460.33087163.9246534460141.9411021387116772113.9940.4084.8635615277.03149415520.28720262.835835557091.82696426621224110332.13129.1926211655.63106310990.3190314743624212132.279974387417060138.9944.7391.1337516176.97150615460.24297195.1964066229141.9010272416616886138.7749.2786.3941317584.50158816800.22392197.2570256776147.088679380613751154.4254.60100.0045519492.40175818540.21430222.38850282132091352355922149119774.3069.95629271131252926620.204363271148111630162.4913743476021303177.3875.8793.85531243110.17168922190.20742276.28721166732051830762542992220189.4365.90636302137208927010.1970636882778025217.6319595655929149233.08102.0372.71732329151.70237831370.20213368.1010690103683052850292024244229413653.111016451207335144250.1912950616048158023203053298054661729315250.191134509244357750270.191355281691116248OpenBenchmarking.org

OctaneBench

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

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350320.00305.00217.63205.00162.49141.94110.4496.18209.00147.08141.90132.2791.82

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10607K14K21K28K35KSE +/- 33.83, N = 3SE +/- 6.96, N = 3SE +/- 10.26, N = 3SE +/- 73.89, N = 3SE +/- 10.17, N = 3SE +/- 48.67, N = 3SE +/- 33.32, N = 3SE +/- 7.69, N = 3SE +/- 6.00, N = 3SE +/- 8.35, N = 3SE +/- 13.11, N = 3SE +/- 1.20, N = 3SE +/- 2.96, N = 3SE +/- 0.33, N = 33053228502195951830713743110218674782742591352386791027299746964

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602K4K6K8K10KSE +/- 48.88, N = 3SE +/- 5.46, N = 3SE +/- 8.84, N = 3SE +/- 5.51, N = 3SE +/- 1.53, N = 3SE +/- 2.67, N = 3SE +/- 12.22, N = 3SE +/- 5.55, N = 3SE +/- 11.00, N = 3SE +/- 23.84, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 5.36, N = 3SE +/- 2.33, N = 398059202655962544760387130202718166255923806416638742662

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106010K20K30K40K50KSE +/- 79.00, N = 3SE +/- 72.18, N = 3SE +/- 3.53, N = 3SE +/- 72.75, N = 3SE +/- 16.82, N = 3SE +/- 63.67, N = 3SE +/- 25.24, N = 3SE +/- 7.51, N = 3SE +/- 18.33, N = 3SE +/- 79.56, N = 3SE +/- 19.60, N = 3SE +/- 1.67, N = 3SE +/- 7.00, N = 3SE +/- 5.00, N = 3466174244229149299222130316772131981171167302149113751168861706012241

FAHBench

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

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.39, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.93, N = 3SE +/- 0.02, N = 3293.00294.00233.08201.00177.38113.99101.1190.1760.95197.00154.42138.77138.99103.00

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060306090120150SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3152.00136.00102.0389.4375.8740.4074.3054.6049.2744.7332.13

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterChaos Group V-RAY 1.1.0Mode: CUDA GPUTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060306090120150SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 2.75, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 3.11, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 350.1953.1172.7165.9093.8584.86111.46124.7169.95100.0086.3991.13129.19

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602004006008001000SE +/- 1.11, N = 3SE +/- 0.68, N = 3SE +/- 2.14, N = 3SE +/- 0.74, N = 3SE +/- 0.70, N = 3SE +/- 1.31, N = 3SE +/- 2.30, N = 3SE +/- 0.52, N = 3SE +/- 0.06, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 311341016732636531356629455413375262

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 0.63, N = 3SE +/- 0.19, N = 3SE +/- 0.54, N = 3SE +/- 0.48, N = 3SE +/- 0.95, N = 3SE +/- 0.73, N = 3SE +/- 0.73, N = 3SE +/- 0.45, N = 3SE +/- 0.35, N = 3SE +/- 0.62, N = 3SE +/- 0.45, N = 3509451329302243152271194175161116

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.41, N = 3SE +/- 0.42, N = 3SE +/- 0.99, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3244.00207.00151.70137.00110.1777.03131.0092.4084.5076.9755.63

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10608001600240032004000SE +/- 1.96, N = 3SE +/- 6.13, N = 3SE +/- 12.13, N = 3SE +/- 1.73, N = 3SE +/- 8.52, N = 3SE +/- 3.72, N = 3SE +/- 2.71, N = 3SE +/- 2.10, N = 3SE +/- 0.40, N = 3SE +/- 3.98, N = 3SE +/- 0.76, N = 335773351237820891689149425291758158815061063

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106011002200330044005500SE +/- 9.37, N = 3SE +/- 4.54, N = 3SE +/- 4.16, N = 3SE +/- 2.48, N = 3SE +/- 2.26, N = 3SE +/- 5.31, N = 3SE +/- 17.83, N = 3SE +/- 2.92, N = 3SE +/- 0.45, N = 3SE +/- 4.96, N = 3SE +/- 1.24, N = 350274425313727012219155226621854168015461099

NAMD CUDA

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.11520.23040.34560.46080.576SE +/- 0.00131, N = 3SE +/- 0.00169, N = 3SE +/- 0.00394, N = 3SE +/- 0.00102, N = 3SE +/- 0.00308, N = 3SE +/- 0.00061, N = 3SE +/- 0.00305, N = 3SE +/- 0.00081, N = 3SE +/- 0.00242, N = 3SE +/- 0.00199, N = 3SE +/- 0.00299, N = 3SE +/- 0.00120, N = 3SE +/- 0.00137, N = 3SE +/- 0.00213, N = 30.191350.191290.202130.197060.207420.287200.330870.364900.512070.204360.214300.223920.242970.31903

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 1.04, N = 3SE +/- 0.96, N = 3SE +/- 0.17, N = 3SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.70, N = 3SE +/- 0.34, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 2.76, N = 3SE +/- 0.62, N = 3SE +/- 0.01, N = 3SE +/- 1.04, N = 3SE +/- 0.11, N = 3528.00506.00368.10368.00276.28262.83163.92143.4182.18327.00222.38197.25195.19147.00

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2016-06-06Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604K8K12K16K20KSE +/- 21.73, N = 3SE +/- 14.18, N = 3SE +/- 2.83, N = 3SE +/- 2.15, N = 3SE +/- 7.52, N = 3SE +/- 5.81, N = 3SE +/- 2.19, N = 3SE +/- 3.28, N = 3SE +/- 13.58, N = 3SE +/- 457.77, N = 3SE +/- 5.87, N = 3SE +/- 5.09, N = 3SE +/- 33.45, N = 3SE +/- 1.33, N = 31691116048106908277721158354653414027681148185027025640643621. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 982.50, N = 3SE +/- 599.97, N = 3SE +/- 496.55, N = 3SE +/- 457.63, N = 3SE +/- 486.34, N = 3SE +/- 18.02, N = 3SE +/- 40.51, N = 3SE +/- 31.25, N = 3SE +/- 7.94, N = 3SE +/- 0.49, N = 3SE +/- 41.00, N = 3SE +/- 12.96, N = 3SE +/- 3.27, N = 3SE +/- 1.83, N = 3162481580210368802566735570446039042640116308213677662294212

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 48.2 / Avg: 267.56 / Max: 369.7Min: 48.8 / Avg: 259.03 / Max: 374.7Min: 46.4 / Avg: 198.17 / Max: 338Min: 44 / Avg: 182.56 / Max: 316.7Min: 46.3 / Avg: 164.46 / Max: 304.2Min: 52.3 / Avg: 211.41 / Max: 362.6Min: 49.6 / Avg: 181.05 / Max: 319.5Min: 48.9 / Avg: 166.06 / Max: 306.2Min: 42.9 / Avg: 136.46 / Max: 265.4Min: 52.4 / Avg: 222.48 / Max: 379.7Min: 45.3 / Avg: 167.73 / Max: 316Min: 46.8 / Avg: 137.25 / Max: 256.2Min: 43.1 / Avg: 157.95 / Max: 279.9Min: 41.2 / Avg: 130.15 / Max: 264.7

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10601632486480Min: 37 / Avg: 67.01 / Max: 79Min: 48 / Avg: 65.76 / Max: 77Min: 46 / Avg: 70.67 / Max: 83Min: 36 / Avg: 61.58 / Max: 75Min: 40 / Avg: 60.23 / Max: 71Min: 39 / Avg: 74.6 / Max: 84Min: 53 / Avg: 73.31 / Max: 80Min: 37 / Avg: 54.14 / Max: 62Min: 50 / Avg: 64.07 / Max: 73Min: 35 / Avg: 70.03 / Max: 81Min: 32 / Avg: 65.16 / Max: 78Min: 37 / Avg: 48.41 / Max: 56Min: 48 / Avg: 65.17 / Max: 76Min: 28 / Avg: 56.53 / Max: 68

Chaos Group V-RAY

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250Min: 97.6 / Avg: 246.65 / Max: 277.2Min: 52.4 / Avg: 254.09 / Max: 280.2Min: 51.5 / Avg: 190.57 / Max: 204Min: 46.4 / Avg: 191.75 / Max: 200.2Min: 48.7 / Avg: 158.51 / Max: 168.3Min: 54.7 / Avg: 214.87 / Max: 232.2Min: 49.6 / Avg: 169.61 / Max: 178.6Min: 49.2 / Avg: 156.04 / Max: 166.7Min: 53.7 / Avg: 215.17 / Max: 232.7Min: 47.4 / Avg: 156.61 / Max: 162.9Min: 47.4 / Avg: 131.37 / Max: 137.3Min: 46.7 / Avg: 155.43 / Max: 164.2Min: 41.4 / Avg: 120.6 / Max: 125.1

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 99.9 / Avg: 351.42 / Max: 361.4Min: 51.3 / Avg: 334.98 / Max: 346.2Min: 104 / Avg: 260.96 / Max: 275.4Min: 99.1 / Avg: 238.08 / Max: 243.5Min: 48.1 / Avg: 207.9 / Max: 215.1Min: 54.4 / Avg: 254.22 / Max: 263Min: 50.2 / Avg: 212.29 / Max: 219.3Min: 48.9 / Avg: 195.82 / Max: 201.9Min: 44.1 / Avg: 153.32 / Max: 164.6Min: 69.7 / Avg: 274.01 / Max: 280.9Min: 45.9 / Avg: 198.93 / Max: 204.7Min: 46.8 / Avg: 158.44 / Max: 162.1Min: 45.8 / Avg: 193.84 / Max: 200.5Min: 58.3 / Avg: 151.9 / Max: 155

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: HotelTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106071421283527.9027.4725.1326.2722.9015.2314.2313.8810.8420.4119.1326.2919.9917.52

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 138.3 / Avg: 333.87 / Max: 346.9Min: 105.4 / Avg: 321.25 / Max: 329.8Min: 118 / Avg: 246.15 / Max: 252.2Min: 46.1 / Avg: 220.46 / Max: 224Min: 49.3 / Avg: 187.25 / Max: 199.5Min: 144.5 / Avg: 234.12 / Max: 246.1Min: 50 / Avg: 187.37 / Max: 193.4Min: 49.1 / Avg: 176.17 / Max: 179.9Min: 44.5 / Avg: 134.86 / Max: 138.4Min: 54.8 / Avg: 230.25 / Max: 239.2Min: 45.3 / Avg: 169.91 / Max: 172.6Min: 47.1 / Avg: 141.5 / Max: 144Min: 46.4 / Avg: 166.86 / Max: 171.8Min: 41.2 / Avg: 134.07 / Max: 138

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: MicrophoneTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10602040608010091.4588.7279.6183.0473.3947.0746.2944.4331.5858.7351.0872.5959.7751.94

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 49.8 / Avg: 335.62 / Max: 344.2Min: 98.7 / Avg: 321.98 / Max: 335Min: 48.3 / Avg: 244.37 / Max: 254Min: 54.9 / Avg: 227.08 / Max: 233.7Min: 47.1 / Avg: 193.04 / Max: 197.2Min: 134.6 / Avg: 232.86 / Max: 240.6Min: 98 / Avg: 193.56 / Max: 204.4Min: 90.4 / Avg: 178.9 / Max: 181.9Min: 76 / Avg: 138.95 / Max: 141.3Min: 123.7 / Avg: 239.66 / Max: 246.7Min: 91.3 / Avg: 172.99 / Max: 180Min: 63.4 / Avg: 147.51 / Max: 149.2Min: 85.1 / Avg: 178.76 / Max: 184.9Min: 70 / Avg: 141.29 / Max: 144.7

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060306090120150139.00132.00119.28132.00110.3672.0268.1965.4648.4489.6779.49114.4895.4486.63

FAHBench

OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 70.9 / Avg: 216.29 / Max: 314.2Min: 50 / Avg: 208.85 / Max: 317.9Min: 48 / Avg: 180.6 / Max: 251.3Min: 46.5 / Avg: 166.14 / Max: 224.8Min: 47.2 / Avg: 153.38 / Max: 211.4Min: 79.8 / Avg: 188.31 / Max: 237.7Min: 51.4 / Avg: 157.3 / Max: 209.6Min: 51.7 / Avg: 145.38 / Max: 189Min: 68.4 / Avg: 123.63 / Max: 157.5Min: 75.6 / Avg: 187.69 / Max: 260.2Min: 69.5 / Avg: 154.76 / Max: 204.7Min: 46.8 / Avg: 126.68 / Max: 151.2Min: 68.1 / Avg: 141.93 / Max: 196.9Min: 66.2 / Avg: 123.16 / Max: 154.3

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.31730.63460.95191.26921.58651.361.411.291.211.160.610.640.620.491.051.001.100.980.83

NAMD CUDA

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.13System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 960GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350Min: 53.2 / Avg: 266.74 / Max: 364.1Min: 51.2 / Avg: 264.81 / Max: 374.7Min: 56.5 / Avg: 255.83 / Max: 338Min: 47.9 / Avg: 237.1 / Max: 316.7Min: 49.3 / Avg: 233.66 / Max: 304.2Min: 52.6 / Avg: 295.05 / Max: 362.6Min: 50.6 / Avg: 266.8 / Max: 318.8Min: 50.2 / Avg: 242.64 / Max: 306.2Min: 42.9 / Avg: 225.84 / Max: 265.4Min: 52.4 / Avg: 286.64 / Max: 379.7Min: 45.7 / Avg: 224.13 / Max: 316Min: 47.3 / Avg: 210.26 / Max: 256.2Min: 61.4 / Avg: 228.6 / Max: 279.9Min: 120.6 / Avg: 229.99 / Max: 264.7

OctaneBench

OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 4.00System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 65.4 / Avg: 317.93 / Max: 352.5Min: 51.3 / Avg: 309.41 / Max: 334.9Min: 48.4 / Avg: 230.98 / Max: 269.7Min: 45.5 / Avg: 209.09 / Max: 231Min: 48.2 / Avg: 181.09 / Max: 206.3Min: 55.2 / Avg: 212.35 / Max: 234.3Min: 90.1 / Avg: 173.09 / Max: 195.7Min: 84.5 / Avg: 156.44 / Max: 186.9Min: 121.8 / Avg: 226.41 / Max: 250.5Min: 45.7 / Avg: 160.64 / Max: 178.7Min: 47.2 / Avg: 125.73 / Max: 146.8Min: 43.1 / Avg: 151.54 / Max: 171.8Min: 41.2 / Avg: 115.65 / Max: 129.1

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00Total ScoreTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 980GTX 970GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.25430.50860.76291.01721.27151.010.990.940.980.900.670.640.610.920.921.130.870.79

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 85 / Avg: 254.04 / Max: 358.4Min: 64.8 / Avg: 249.51 / Max: 341.7Min: 48.8 / Avg: 216.35 / Max: 276.2Min: 44.7 / Avg: 187.45 / Max: 248.6Min: 47.1 / Avg: 184.66 / Max: 228.7Min: 89.2 / Avg: 254.69 / Max: 323.3Min: 52.6 / Avg: 234.08 / Max: 309.7Min: 90.2 / Avg: 197.26 / Max: 243.2Min: 46.8 / Avg: 158.44 / Max: 191.8Min: 92.2 / Avg: 172.51 / Max: 206.4Min: 64.4 / Avg: 153.94 / Max: 187.5

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.2160.4320.6480.8641.080.960.830.700.730.600.300.560.470.530.450.36

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 53.4 / Avg: 183.94 / Max: 352.4Min: 50.7 / Avg: 199.93 / Max: 341.9Min: 48.2 / Avg: 167.92 / Max: 285.5Min: 45 / Avg: 158.24 / Max: 243.9Min: 47.4 / Avg: 150.43 / Max: 221.5Min: 80.2 / Avg: 223.76 / Max: 314.3Min: 54.6 / Avg: 202.47 / Max: 321.9Min: 71.8 / Avg: 185.61 / Max: 251Min: 46.9 / Avg: 146.4 / Max: 186.9Min: 72.1 / Avg: 163.82 / Max: 213.7Min: 57.2 / Avg: 145.06 / Max: 185.9

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.18680.37360.56040.74720.9340.830.680.610.570.500.180.370.290.340.270.22

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 50.8 / Avg: 266.27 / Max: 362Min: 49.4 / Avg: 250.03 / Max: 345.7Min: 50.5 / Avg: 226.63 / Max: 285.7Min: 46 / Avg: 210.67 / Max: 248Min: 51.8 / Avg: 199.33 / Max: 225.7Min: 85.1 / Avg: 254.96 / Max: 305.1Min: 54.5 / Avg: 245.09 / Max: 319.8Min: 45.6 / Avg: 201.99 / Max: 247.3Min: 47.2 / Avg: 164.47 / Max: 190.6Min: 88.5 / Avg: 186.77 / Max: 213.9Min: 68.9 / Avg: 162.73 / Max: 181.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.95851.9172.87553.8344.79254.264.063.233.022.661.402.572.252.512.011.61

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 50.8 / Avg: 244.53 / Max: 358.1Min: 49.3 / Avg: 233.47 / Max: 346.6Min: 55.1 / Avg: 194.67 / Max: 285.2Min: 47.3 / Avg: 183.41 / Max: 245.9Min: 46.4 / Avg: 168.46 / Max: 224.3Min: 128.5 / Avg: 228.56 / Max: 295.1Min: 127.8 / Avg: 217.89 / Max: 307.4Min: 94.3 / Avg: 179.31 / Max: 228.6Min: 47.9 / Avg: 143.17 / Max: 191.4Min: 88.5 / Avg: 153.43 / Max: 195.1Min: 71.6 / Avg: 137.51 / Max: 175.6

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10604812162014.6314.3512.2111.3910.036.5411.619.8111.099.827.73

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 51.4 / Avg: 207.26 / Max: 353.6Min: 49.9 / Avg: 209.74 / Max: 336.6Min: 52.1 / Avg: 190.47 / Max: 278.4Min: 47.2 / Avg: 166.27 / Max: 236.6Min: 59.5 / Avg: 160.81 / Max: 211.3Min: 121.4 / Avg: 236.21 / Max: 313.7Min: 65.2 / Avg: 217.49 / Max: 309.9Min: 46 / Avg: 179 / Max: 242.1Min: 48.5 / Avg: 141.56 / Max: 196.9Min: 45.4 / Avg: 153.49 / Max: 195.3Min: 88.1 / Avg: 140.33 / Max: 172.6

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106061218243024.2521.1016.4716.2513.806.5712.2410.3611.8710.077.83

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorTITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300Min: 48.2 / Avg: 198.99 / Max: 354.3Min: 74.7 / Avg: 191.11 / Max: 342.3Min: 47.6 / Avg: 180.14 / Max: 286.5Min: 72.1 / Avg: 173.65 / Max: 252.5Min: 52 / Avg: 162.9 / Max: 226.2Min: 80.4 / Avg: 228.25 / Max: 305Min: 96.9 / Avg: 228.94 / Max: 319.8Min: 73.2 / Avg: 182.82 / Max: 247.3Min: 76.7 / Avg: 148.61 / Max: 192.6Min: 72.7 / Avg: 165.01 / Max: 215.3Min: 59.6 / Avg: 148.55 / Max: 182.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16TITAN RTXRTX 2080 TiRTX 2080RTX 2070RTX 2060GTX 980 TiGTX 1080 TiGTX 1080GTX 1070 TiGTX 1070GTX 10600.5761.1521.7282.3042.882.562.361.831.741.490.671.181.061.180.970.78

42 Results Shown

OctaneBench
LuxMark:
  GPU - Microphone
  GPU - Hotel
  GPU - Luxball HDR
FAHBench
NVIDIA GPU Cloud TensorFlow
Chaos Group V-RAY
NVIDIA GPU Cloud TensorFlow:
  Googlenet, FP16
  ResNet-50, FP16
  VGG-16, FP16
  AlexNet, FP32
  AlexNet, FP16
NAMD CUDA
clpeak
Mixbench
clpeak
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
  System Power Consumption Monitor:
    Watts
    Watts
  GPU - Hotel:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU - Microphone:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU - Luxball HDR:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  :
    Ns Per Day Per Watt
  System Power Consumption Monitor:
    Watts
    Watts
  Total Score:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  VGG-16, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  Inception v4, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  Googlenet, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  AlexNet, FP32:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  AlexNet, FP16:
    Images Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  ResNet-50, FP16:
    Images Per Second Per Watt

GTX 960

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 960 2GB (1277/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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: 1024
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 6 January 2019 12:49 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 7 January 2019 14:47 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 (1164/3505MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 7 January 2019 09:44 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 7 January 2019 07:09 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 6 January 2019 07:27 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 6 January 2019 14:52 by user pts.

GTX 1070 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: Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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: 2432
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 6 January 2019 17:27 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 7 January 2019 04:20 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 5 January 2019 20:39 by user pts.

RTX 2060

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: Device 6GB (1365/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 7 January 2019 11:56 by user pts.

RTX 2070

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: ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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: 2304
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 5 January 2019 17:42 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 6 January 2019 20:04 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 5 January 2019 12:11 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 I219-V

OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, 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
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 5 January 2019 09:13 by user pts.