GTX 1080 Ti

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA GeForce GTX 1080 Ti 11GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010088-FI-GTX1080TI42
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
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GTX 1080 Ti
October 07 2020
  8 Hours, 26 Minutes
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October 07 2020
  7 Hours, 39 Minutes
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October 08 2020
  7 Hours, 36 Minutes
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GTX 1080 TiOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GB + 31GB UDiskNVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)Realtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.045.4.0-48-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8NVIDIA 455.23.054.6.0OpenCL 1.2 CUDA 11.1.701.2.142GCC 9.3.0 + CUDA 11.1ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1080 Ti 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01- GPU Compute Cores: 3584- GTX 1080 Ti: Python 3.8.5- Run 2: Python 2.7.18 + Python 3.8.5- Run 3: Python 2.7.18 + Python 3.8.5- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

GTX 1080 TiRun 2Run 3Result OverviewPhoronix Test Suite100%105%110%115%120%FinanceBenchNAMD CUDAPlaidMLLuxCoreRender OpenCLDarktableFAHBenchLeelaChessZeroViennaCLRodiniaGROMACSMandelGPUBlenderMixbenchcl-memGLmark2RealSR-NCNNOctaneBenchUnigine SuperpositionVkFFTHashcatArrayFireclpeakRedShift Demo

GTX 1080 Tirealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesvkfft: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSfinancebench: Black-Scholes OpenCLmixbench: OpenCL - Integermixbench: NVIDIA CUDA - Integermixbench: OpenCL - Double Precisionmixbench: OpenCL - Single Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Single Precisiongromacs-gpu: Water Benchmarkviennacl: OpenCL LU Factorizationcl-mem: Copycl-mem: Readcl-mem: Writenamd-cuda: ATPase Simulation - 327,506 Atomsunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLunigine-super: 1920 x 1200 - Fullscreen - Low - OpenGLunigine-super: 2560 x 1440 - Fullscreen - Low - OpenGLunigine-super: 3840 x 2160 - Fullscreen - Low - OpenGLunigine-super: 1920 x 1080 - Fullscreen - High - OpenGLunigine-super: 1920 x 1200 - Fullscreen - High - OpenGLunigine-super: 2560 x 1440 - Fullscreen - High - OpenGLunigine-super: 3840 x 2160 - Fullscreen - High - OpenGLunigine-super: 1920 x 1080 - Fullscreen - Ultra - OpenGLunigine-super: 1920 x 1200 - Fullscreen - Ultra - OpenGLunigine-super: 2560 x 1440 - Fullscreen - Ultra - OpenGLunigine-super: 3840 x 2160 - Fullscreen - Ultra - OpenGLunigine-super: 1920 x 1080 - Fullscreen - Medium - OpenGLunigine-super: 1920 x 1200 - Fullscreen - Medium - OpenGLunigine-super: 2560 x 1440 - Fullscreen - Medium - OpenGLunigine-super: 3840 x 2160 - Fullscreen - Medium - OpenGLglmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160octanebench: Total Scoreredshift: luxcorerender-cl: DLSCluxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: Rainbow Colors and Prismfahbench: lczero: OpenCLrodinia: OpenCL Particle Filterarrayfire: Conjugate Gradient OpenCLdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXmandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory BandwidthGTX 1080 TiRun 2Run 313.10783.62127081353323666671201956666751860014440000003963334.5753646.823204.35405.9511992.85208.56405.1111468.946.59565.1535283.6338.1339.70.16098147.9150.3147.9112.490.083.357.628.135.831.919.16.7124.6118.987.745.79737919272324215187.9174275163.271.332.805.8991196.735830525.0542.3742.0823.6800.1451.134528.151717.542136.31158.0566.62182.56126.02559.8666.29196.52127.941696.99415.07363.13302507643.53344.2411305.16413.86328.6313.19483.71926995353763666671202830000051883314485000003932675.4993647.903223.71406.3711970.90207.23400.7811353.086.54664.3447284.4336.8335.40.16495147.8149.1147.0112.089.483.157.528.135.731.919.16.7123.6118.287.345.59659915471994215188.6514545153.361.342.865.9989196.486129904.9872.3702.0993.8100.1521.141531.661771.922163.12160.1366.74182.17126.39560.6863.50196.59128.031698.08415.37363.10304650524.83332.9811311.42414.58330.6013.17083.55527073354287333331205180000052086714508333333939335.4923652.543217.28408.4111987.22208.63408.2211416.036.55664.2550284.4337.8335.40.17735147.7148.6142.6112.789.983.257.628.135.832.019.16.7124.1118.387.645.69655913772324242188.4885695153.391.352.866.0517192.354930335.0112.3692.0903.6880.1481.131528.191781.172379.97160.7365.91182.32126.43560.1963.49196.59128.031697.00414.32362.85303696109.73320.4111329.91413.12330.28OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGTX 1080 TiRun 2Run 33691215SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 313.1113.1913.17

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGTX 1080 TiRun 2Run 320406080100SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 383.6283.7283.56

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29GTX 1080 TiRun 2Run 36K12K18K24K30KSE +/- 43.19, N = 3SE +/- 54.11, N = 3SE +/- 44.17, N = 3270812699527073

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5GTX 1080 TiRun 2Run 38000M16000M24000M32000M40000MSE +/- 20969925.55, N = 3SE +/- 31160141.92, N = 3SE +/- 21580572.54, N = 3353323666673537636666735428733333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1GTX 1080 TiRun 2Run 33000M6000M9000M12000M15000MSE +/- 10065176.49, N = 3SE +/- 15494622.72, N = 3SE +/- 16876907.30, N = 3120195666671202830000012051800000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipGTX 1080 TiRun 2Run 3110K220K330K440K550KSE +/- 776.75, N = 3SE +/- 902.47, N = 3SE +/- 1604.51, N = 3518600518833520867

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512GTX 1080 TiRun 2Run 3300M600M900M1200M1500MSE +/- 1242309.68, N = 3SE +/- 2443358.34, N = 3SE +/- 617341.97, N = 3144400000014485000001450833333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1080 TiRun 2Run 380K160K240K320K400KSE +/- 3345.81, N = 3SE +/- 202.76, N = 3SE +/- 328.30, N = 3396333393267393933

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 1080 TiRun 2Run 31.23732.47463.71194.94926.1865SE +/- 0.069, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 34.5755.4995.4921. (CXX) g++ options: -O3 -lOpenCL

Mixbench

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

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerGTX 1080 TiRun 2Run 38001600240032004000SE +/- 36.89, N = 12SE +/- 40.78, N = 3SE +/- 44.72, N = 33646.823647.903652.541. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerGTX 1080 TiRun 2Run 37001400210028003500SE +/- 3.21, N = 3SE +/- 0.93, N = 3SE +/- 8.36, N = 33204.353223.713217.281. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionGTX 1080 TiRun 2Run 390180270360450SE +/- 4.44, N = 15SE +/- 4.58, N = 15SE +/- 3.59, N = 15405.95406.37408.411. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionGTX 1080 TiRun 2Run 33K6K9K12K15KSE +/- 2.85, N = 3SE +/- 10.16, N = 3SE +/- 19.96, N = 311992.8511970.9011987.221. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionGTX 1080 TiRun 2Run 350100150200250SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3208.56207.23208.631. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionGTX 1080 TiRun 2Run 390180270360450SE +/- 1.02, N = 3SE +/- 1.72, N = 3SE +/- 0.73, N = 3405.11400.78408.221. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionGTX 1080 TiRun 2Run 32K4K6K8K10KSE +/- 8.31, N = 3SE +/- 9.23, N = 3SE +/- 21.30, N = 311468.9411353.0811416.031. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 2020.3Water BenchmarkGTX 1080 TiRun 2Run 3246810SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 36.5956.5466.5561. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1080 TiRun 2Run 31530456075SE +/- 0.30, N = 3SE +/- 0.24, N = 3SE +/- 0.31, N = 365.1564.3464.261. (CXX) g++ options: -rdynamic -lOpenCL

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1080 TiRun 2Run 360120180240300SE +/- 0.23, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3283.6284.4284.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1080 TiRun 2Run 370140210280350SE +/- 0.52, N = 3SE +/- 0.72, N = 3SE +/- 0.47, N = 3338.1336.8337.81. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1080 TiRun 2Run 370140210280350SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.35, N = 3339.7335.4335.41. (CC) gcc options: -O2 -flto -lOpenCL

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 2.14ATPase Simulation - 327,506 AtomsGTX 1080 TiRun 2Run 30.03990.07980.11970.15960.1995SE +/- 0.00205, N = 3SE +/- 0.00019, N = 3SE +/- 0.00018, N = 30.160980.164950.17735

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.12, N = 3SE +/- 0.37, N = 3SE +/- 0.28, N = 3147.9147.8147.7MAX: 202.1MAX: 203.2MAX: 203

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.35, N = 3150.3149.1148.6MAX: 205.8MAX: 203.2MAX: 203.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 2560 x 1440 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 1.92, N = 4147.9147.0142.6MAX: 203.1MAX: 203MAX: 203.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 3840 x 2160 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3112.4112.0112.7MAX: 143.1MAX: 144.3MAX: 144

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGLGTX 1080 TiRun 2Run 320406080100SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 390.089.489.9MAX: 107.5MAX: 108.8MAX: 108.1

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: High - Renderer: OpenGLGTX 1080 TiRun 2Run 320406080100SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 383.383.183.2MAX: 100MAX: 101MAX: 100.7

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 2560 x 1440 - Mode: Fullscreen - Quality: High - Renderer: OpenGLGTX 1080 TiRun 2Run 31326395265SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 357.657.557.6MAX: 66.9MAX: 67MAX: 66.9

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 3840 x 2160 - Mode: Fullscreen - Quality: High - Renderer: OpenGLGTX 1080 TiRun 2Run 3714212835SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 328.128.128.1MAX: 31.8MAX: 31.8MAX: 31.9

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGLGTX 1080 TiRun 2Run 3816243240SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 335.835.735.8MAX: 41.6MAX: 41.6MAX: 41.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGLGTX 1080 TiRun 2Run 3714212835SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 331.931.932.0MAX: 36.6MAX: 37.7MAX: 37.3

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 2560 x 1440 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGLGTX 1080 TiRun 2Run 3510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 319.119.119.1MAX: 22.7MAX: 22.4MAX: 22.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 3840 x 2160 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGLGTX 1080 TiRun 2Run 3246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.76.76.7MAX: 8MAX: 8MAX: 8

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3124.6123.6124.1MAX: 165MAX: 166.2MAX: 165.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1200 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGTX 1080 TiRun 2Run 3306090120150SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3118.9118.2118.3MAX: 155.2MAX: 153.3MAX: 153.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 2560 x 1440 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGTX 1080 TiRun 2Run 320406080100SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 387.787.387.6MAX: 108.4MAX: 109MAX: 108.3

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 3840 x 2160 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLGTX 1080 TiRun 2Run 31020304050SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 345.745.545.6MAX: 54.9MAX: 54.7MAX: 54.8

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080GTX 1080 TiRun 2Run 32K4K6K8K10K973796599655

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200GTX 1080 TiRun 2Run 32K4K6K8K10K919291549137

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440GTX 1080 TiRun 2Run 315003000450060007500723271997232

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160GTX 1080 TiRun 2Run 39001800270036004500421542154242

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 2020.1Total ScoreGTX 1080 TiRun 2Run 34080120160200187.92188.65188.49

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 1080 TiRun 2Run 3110220330440550SE +/- 1.33, N = 3516515515

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1080 TiRun 2Run 30.76281.52562.28843.05123.814SE +/- 0.07, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 33.273.363.39MIN: 0.79 / MAX: 3.41MIN: 3.16 / MAX: 3.44MIN: 2.88 / MAX: 3.46

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1080 TiRun 2Run 30.30380.60760.91141.21521.519SE +/- 0.04, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 31.331.341.35MIN: 0.13 / MAX: 1.66MIN: 0.21 / MAX: 1.65MIN: 0.23 / MAX: 1.65

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkGTX 1080 TiRun 2Run 30.64351.2871.93052.5743.2175SE +/- 0.06, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 32.802.862.86MIN: 0.12 / MAX: 3.3MIN: 0.23 / MAX: 3.31MIN: 0.27 / MAX: 3.3

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1080 TiRun 2Run 3246810SE +/- 0.1551, N = 12SE +/- 0.0083, N = 3SE +/- 0.0074, N = 35.89915.99896.0517MIN: 1.88 / MAX: 6.31MIN: 5.46 / MAX: 6.24MIN: 5.12 / MAX: 6.34

FAHBench

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

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 1080 TiRun 2Run 34080120160200SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 2.16, N = 3196.74196.49192.35

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 1080 TiRun 2Run 37001400210028003500SE +/- 21.40, N = 3SE +/- 20.21, N = 3SE +/- 41.02, N = 33052299030331. (CXX) g++ options: -flto -pthread

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 select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1080 TiRun 2Run 31.13722.27443.41164.54885.686SE +/- 0.064, N = 5SE +/- 0.009, N = 3SE +/- 0.020, N = 35.0544.9875.0111. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1080 TiRun 2Run 30.53421.06841.60262.13682.671SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 32.3742.3702.3691. (CXX) g++ options: -rdynamic

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 3.0.1Test: Boat - Acceleration: OpenCLGTX 1080 TiRun 2Run 30.47230.94461.41691.88922.3615SE +/- 0.010, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 32.0822.0992.090

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLGTX 1080 TiRun 2Run 30.85731.71462.57193.42924.2865SE +/- 0.042, N = 15SE +/- 0.070, N = 15SE +/- 0.010, N = 33.6803.8103.688

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLGTX 1080 TiRun 2Run 30.03420.06840.10260.13680.171SE +/- 0.001, N = 3SE +/- 0.001, N = 15SE +/- 0.001, N = 30.1450.1520.148

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLGTX 1080 TiRun 2Run 30.25670.51340.77011.02681.2835SE +/- 0.015, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 31.1341.1411.131

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1080 TiRun 2Run 3110220330440550SE +/- 1.09, N = 3SE +/- 1.09, N = 3SE +/- 0.79, N = 3528.15531.66528.19

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080 TiRun 2Run 3400800120016002000SE +/- 5.83, N = 3SE +/- 5.72, N = 3SE +/- 4.48, N = 31717.541771.921781.17

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080 TiRun 2Run 35001000150020002500SE +/- 6.26, N = 3SE +/- 22.88, N = 15SE +/- 0.59, N = 32136.312163.122379.97

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1080 TiRun 2Run 34080120160200SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3158.05160.13160.73

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDAGTX 1080 TiRun 2Run 31530456075SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 366.6266.7465.91

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDAGTX 1080 TiRun 2Run 34080120160200SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3182.56182.17182.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDAGTX 1080 TiRun 2Run 3306090120150SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3126.02126.39126.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDAGTX 1080 TiRun 2Run 3120240360480600SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3559.86560.68560.19

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1080 TiRun 2Run 31530456075SE +/- 3.53, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 366.2963.5063.49

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 1080 TiRun 2Run 34080120160200SE +/- 0.07, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3196.52196.59196.59

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1080 TiRun 2Run 3306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3127.94128.03128.03

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1080 TiRun 2Run 3400800120016002000SE +/- 0.37, N = 3SE +/- 0.65, N = 3SE +/- 0.40, N = 31696.991698.081697.00

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDAGTX 1080 TiRun 2Run 390180270360450SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3415.07415.37414.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1080 TiRun 2Run 380160240320400SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3363.13363.10362.85

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1080 TiRun 2Run 370M140M210M280M350MSE +/- 2496661.35, N = 3SE +/- 1911295.39, N = 3SE +/- 1306095.01, N = 3302507643.5304650524.8303696109.71. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 1080 TiRun 2Run 37001400210028003500SE +/- 9.02, N = 3SE +/- 16.09, N = 3SE +/- 2.55, N = 33344.243332.983320.411. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1080 TiRun 2Run 32K4K6K8K10KSE +/- 216.65, N = 15SE +/- 214.62, N = 15SE +/- 204.31, N = 1511305.1611311.4211329.911. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1080 TiRun 2Run 390180270360450SE +/- 1.40, N = 3SE +/- 0.06, N = 3SE +/- 0.97, N = 3413.86414.58413.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1080 TiRun 2Run 370140210280350SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.61, N = 3328.63330.60330.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

75 Results Shown

RealSR-NCNN:
  4x - No
  4x - Yes
VkFFT
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
FinanceBench
Mixbench:
  OpenCL - Integer
  NVIDIA CUDA - Integer
  OpenCL - Double Precision
  OpenCL - Single Precision
  NVIDIA CUDA - Half Precision
  NVIDIA CUDA - Double Precision
  NVIDIA CUDA - Single Precision
GROMACS
ViennaCL
cl-mem:
  Copy
  Read
  Write
NAMD CUDA
Unigine Superposition:
  1920 x 1080 - Fullscreen - Low - OpenGL
  1920 x 1200 - Fullscreen - Low - OpenGL
  2560 x 1440 - Fullscreen - Low - OpenGL
  3840 x 2160 - Fullscreen - Low - OpenGL
  1920 x 1080 - Fullscreen - High - OpenGL
  1920 x 1200 - Fullscreen - High - OpenGL
  2560 x 1440 - Fullscreen - High - OpenGL
  3840 x 2160 - Fullscreen - High - OpenGL
  1920 x 1080 - Fullscreen - Ultra - OpenGL
  1920 x 1200 - Fullscreen - Ultra - OpenGL
  2560 x 1440 - Fullscreen - Ultra - OpenGL
  3840 x 2160 - Fullscreen - Ultra - OpenGL
  1920 x 1080 - Fullscreen - Medium - OpenGL
  1920 x 1200 - Fullscreen - Medium - OpenGL
  2560 x 1440 - Fullscreen - Medium - OpenGL
  3840 x 2160 - Fullscreen - Medium - OpenGL
GLmark2:
  1920 x 1080
  1920 x 1200
  2560 x 1440
  3840 x 2160
OctaneBench
RedShift Demo
LuxCoreRender OpenCL:
  DLSC
  Food
  LuxCore Benchmark
  Rainbow Colors and Prism
FAHBench
LeelaChessZero
Rodinia
ArrayFire
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Rack - OpenCL
  Server Room - OpenCL
PlaidML:
  No - Inference - IMDB LSTM - OpenCL
  No - Inference - Mobilenet - OpenCL
  Yes - Inference - Mobilenet - OpenCL
  No - Inference - DenseNet 201 - OpenCL
Blender:
  BMW27 - CUDA
  Classroom - CUDA
  Fishy Cat - CUDA
  Barbershop - CUDA
  BMW27 - NVIDIA OptiX
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - CUDA
  Pabellon Barcelona - NVIDIA OptiX
MandelGPU
clpeak:
  Integer Compute INT
  Single-Precision Float
  Double-Precision Double
  Global Memory Bandwidth