Core i9 10980XE Ryzen 9 3990X - Pop OS Skylake Opt Benchmark

Benchmarks 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 2007127-NE-2007118NE94
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i9 10980XE: Default
July 10 2020
  6 Hours, 44 Minutes
i9 10980XE: Optimized
July 10 2020
  6 Hours, 52 Minutes
TR 3990X: Default
July 11 2020
  5 Hours, 46 Minutes
TR 3990X: Optimized
July 11 2020
  5 Hours, 21 Minutes
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  6 Hours, 11 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionOpenGLi9 10980XETR 3990X Default Optimized Default OptimizedIntel 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 + 32GB Flash DiskNVIDIA GeForce GTX 1080 Ti 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Pop 20.045.4.0-7634-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext43840x2160NVIDIA NV132 11GB4.3 Mesa 20.0.8AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)System76 Thelio Major (F4c Z5 BIOS)AMD Starship/Matisse126GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioLG Ultra HDIntel I211 + Intel Wi-Fi 6 AX200amdgpu 19.1.04.6 Mesa 20.0.8 (LLVM 10.0.0)OpenBenchmarking.orgCompiler Details- i9 10980XE: Default: --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 - i9 10980XE: Optimized: --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-arch=skylake --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 - TR 3990X: Default: --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 - TR 3990X: Optimized: --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-arch=skylake --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 Processor Details- i9 10980XE: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01- i9 10980XE: Optimized: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01- TR 3990X: Default: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025- TR 3990X: Optimized: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- i9 10980XE: Default: 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 + tsx_async_abort: Mitigation of TSX disabled - i9 10980XE: Optimized: 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 + tsx_async_abort: Mitigation of TSX disabled - TR 3990X: Default: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + tsx_async_abort: Not affected - TR 3990X: Optimized: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + tsx_async_abort: Not affected Kernel Details- TR 3990X: Default, TR 3990X: Optimized: snd_usb_audio.ignore_ctl_error=1

cloverleaf: Lagrangian-Eulerian Hydrodynamicsnpb: SP.Bbrl-cad: VGR Performance Metriccoremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timerodinia: OpenMP LavaMDjohn-the-ripper: Blowfishmt-dgemm: Sustained Floating-Point Rategromacs: Water Benchmarksvt-av1: Enc Mode 8 - 1080pdav1d: Chimera 1080p 10-bitlammps: Rhodopsin Proteinnpb: EP.Dnpb: EP.Crodinia: OpenMP Streamclustersvt-av1: Enc Mode 4 - 1080prodinia: OpenMP CFD Solverplaidml: No - Inference - Inception V3 - CPUjohn-the-ripper: MD5dav1d: Summer Nature 4Krodinia: OpenMP Leukocytedav1d: Summer Nature 1080pglibc-bench: log2npb: BT.Ccompress-zstd: 3npb: MG.Cglibc-bench: modfnpb: LU.Cnpb: FT.Cglibc-bench: ffsscikit-learn: plaidml: No - Inference - VGG19 - CPUdav1d: Chimera 1080pnumenta-nab: EXPoSEglibc-bench: sqrtglibc-bench: ffsllplaidml: No - Inference - VGG16 - CPUcompress-zstd: 19himeno: Poisson Pressure Solverplaidml: No - Inference - DenseNet 201 - CPUai-benchmark: Device Training Scorenumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylineocrmypdf: Processing 60 Page PDF Documentglibc-bench: pthread_onceglibc-bench: tanhglibc-bench: sincospyperformance: pickle_pure_pythonmlpack: scikit_svmpyperformance: python_startuppyperformance: django_templatepyperformance: floatpyperformance: chaosmrbayes: Primate Phylogeny Analysispyperformance: gonumenta-nab: Bayesian Changepointsqlite-speedtest: Timed Time - Size 1,000pyperformance: regex_compilepyperformance: crypto_pyaesredis: SETplaidml: No - Inference - Mobilenet - CPUpyperformance: raytracedaphne: OpenMP - Euclidean Clusterhpcg: plaidml: No - Inference - ResNet 50 - CPUnumenta-nab: Relative Entropypyperformance: json_loadsai-benchmark: Device AI Scoreglibc-bench: atanhglibc-bench: exprodinia: OpenMP HotSpot3Daom-av1: Speed 4 Two-Passpyperformance: pathlibglibc-bench: sinhdaphne: OpenMP - NDT Mappingplaidml: No - Inference - IMDB LSTM - CPUglibc-bench: singlibc-bench: cosaom-av1: Speed 8 Realtimeaom-av1: Speed 6 Two-Passglibc-bench: asinhcython-bench: pybench: Total For Average Test Timespyperformance: 2to3montage: Mosaic of M17, K band, 1.5 deg x 1.5 degpyperformance: nbodynumpy: aom-av1: Speed 6 Realtimesvt-av1: Enc Mode 0 - 1080pai-benchmark: Device Inference Scorehugin: Panorama Photo Assistant + Stitching Timedaphne: OpenMP - Points2Imageredis: GETyafaray: Total Time For Sample Scenepovray: Trace Timei9 10980XETR 3990X Default Optimized Default Optimized2.5711958.61209472634750.47682749226207123.868319787.0868071.58644.44296.9211.6622458.192455.4814.5375.55011.7936.513087000231.1359.245552.056.4359943782.844751.118004.262.3707044944.5719696.821.66137153.22722.29618.4445.5171.610971.4345526.8560.24130.5463552.6215657.91191.36719.2741.4030111.178112.847735325.1514.638.390.787.5111.07119930.22155.53013686.62183993.2712.903841336.477.889155.5114.61620.2351310.40844.7067396.0272.3015.37.75877893.87882.8339.732540.132932.973.658.7881638.25788728573.171103374.5618.350.129194845.82421226.2403211732869432.50165.02836.4542.5711842.90208935655919.15492648873299114.198319827.1238501.58645.046121.9412.7692446.342473.3514.6105.56710.9646.533086333231.3564.420560.034.6250243185.054814.117814.091.6221244872.5719590.931.39875153.31822.55617.3345.6051.815551.6046626.8760.14757.8099872.615637.92092.43519.2241.401418.7772310.173134925.1714.638.491.187.7110.79620130.10356.26413687.32120745.1312.943861345.707.881205.5014.63120.535079.302575.2472093.9202.2815.17.15653888.06890.2939.257339.682233.523.618.2001739.70791428571.299105379.9118.370.13194445.91821137.6423023952868487.13169.76553.1050.4047235.728169342332502.50477415414665243.7418878317.1735163.89097.100169.3723.6244999.434818.158.1199.5986.70511.155125333379.9739.855873.545.9563267739.787205.826534.142.0279465289.0128563.022.02383107.56331.47882.2332.2692.251251.7897837.5682.24076.6294693.4411976.21370.96014.8161.7864110.779612.366843420.6812.246.410910493.72723525.76863.868159100.01926576.2814.704451183.689.049796.2812.95922.8312910.27085.1896286.8552.5316.47.80609968.12821.0242.560042.915034.503.98.7761640.69293129974.197104373.1718.050.128193245.48621228.8532857342704398.1254.0429.0500.4047137.998175292352886.81303715342856841.0528889417.4258233.85398.231206.6824.3295027.834894.038.0199.8766.63711.065113000375.6439.747881.354.0558667707.347163.326530.562.0281765560.8428564.591.79262106.73931.96857.0932.4862.276322.0244137.2182.43508.0981793.4411976.05971.61814.8651.7895310.909811.654641420.631244.510110596.30623525.86165.0831581011879274.3714.984441168.869.052536.3113.16722.631209.923255.1855286.1382.5116.77.56152915.04819.4242.462542.949735.623.898.3779840.76193029974.171105375.8318.230.13192346.02121080.5249161182774720.9254.9869.051OpenBenchmarking.org

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsOptimizedDefault0.57831.15661.73492.31322.8915SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.400.402.572.571. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsOptimizedDefault246810Min: 0.39 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.41Min: 2.56 / Avg: 2.57 / Max: 2.58Min: 2.56 / Avg: 2.57 / Max: 2.581. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BOptimizedDefault10K20K30K40K50KSE +/- 317.18, N = 3SE +/- 25.58, N = 3SE +/- 14.66, N = 3SE +/- 14.36, N = 347137.9947235.7211842.9011958.611. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BOptimizedDefault8K16K24K32K40KMin: 46535.24 / Avg: 47137.99 / Max: 47610.65Min: 47193.75 / Avg: 47235.72 / Max: 47282.04Min: 11819.92 / Avg: 11842.9 / Max: 11870.17Min: 11933.42 / Avg: 11958.61 / Max: 11983.141. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricOptimizedDefault200K400K600K800K1000K8175298169342089352094721. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lGL -lGLdispatch -lX11 -lpthread -ldl -luuid -lm

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondOptimizedDefault500K1000K1500K2000K2500KSE +/- 4570.17, N = 3SE +/- 16958.53, N = 3SE +/- 2257.25, N = 3SE +/- 3025.86, N = 32352886.812332502.50655919.15634750.481. (CC) gcc options: -O2 -lrt" -lrt
TR 3990Xi9 10980XEOpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondOptimizedDefault400K800K1200K1600K2000KMin: 2347331.74 / Avg: 2352886.81 / Max: 2361950.45Min: 2301330.46 / Avg: 2332502.5 / Max: 2359664.49Min: 652331.48 / Avg: 655919.15 / Max: 660086.18Min: 629480.68 / Avg: 634750.48 / Max: 639962.081. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeOptimizedDefault30M60M90M120M150MSE +/- 793489.01, N = 3SE +/- 860075.69, N = 3SE +/- 116928.17, N = 3SE +/- 124471.83, N = 315342856815414665248873299492262071. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
TR 3990Xi9 10980XEOpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeOptimizedDefault30M60M90M120M150MMin: 151843910 / Avg: 153428568.33 / Max: 154295180Min: 152589676 / Avg: 154146651.67 / Max: 155558433Min: 48650740 / Avg: 48873299.33 / Max: 49046765Min: 49025567 / Avg: 49226206.67 / Max: 494541491. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDOptimizedDefault306090120150SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.43, N = 3SE +/- 0.38, N = 341.0543.74114.20123.871. (CXX) g++ options: -O2 -lOpenCL
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDOptimizedDefault20406080100Min: 40.82 / Avg: 41.05 / Max: 41.23Min: 43.34 / Avg: 43.74 / Max: 43.98Min: 113.41 / Avg: 114.2 / Max: 114.91Min: 123.3 / Avg: 123.87 / Max: 124.61. (CXX) g++ options: -O2 -lOpenCL

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishOptimizedDefault20K40K60K80K100KSE +/- 396.97, N = 3SE +/- 387.67, N = 3SE +/- 36.56, N = 3SE +/- 39.01, N = 3888948878331982319781. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
TR 3990Xi9 10980XEOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishOptimizedDefault15K30K45K60K75KMin: 88367 / Avg: 88894.33 / Max: 89672Min: 88290 / Avg: 88783.33 / Max: 89548Min: 31935 / Avg: 31982 / Max: 32054Min: 31924 / Avg: 31978.33 / Max: 320541. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateOptimizedDefault48121620SE +/- 0.146005, N = 15SE +/- 0.235301, N = 15SE +/- 0.087891, N = 3SE +/- 0.095264, N = 417.42582317.1735167.1238507.0868071. (CC) gcc options: -O3 -march=native -fopenmp
TR 3990Xi9 10980XEOpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateOptimizedDefault48121620Min: 16.15 / Avg: 17.43 / Max: 18.25Min: 15.76 / Avg: 17.17 / Max: 18.38Min: 6.96 / Avg: 7.12 / Max: 7.26Min: 6.82 / Avg: 7.09 / Max: 7.251. (CC) gcc options: -O3 -march=native -fopenmp

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkOptimizedDefault0.87531.75062.62593.50124.3765SE +/- 0.054, N = 4SE +/- 0.066, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 33.8533.8901.5861.5861. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
TR 3990Xi9 10980XEOpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkOptimizedDefault246810Min: 3.79 / Avg: 3.85 / Max: 4.01Min: 3.82 / Avg: 3.89 / Max: 4.02Min: 1.58 / Avg: 1.59 / Max: 1.59Min: 1.58 / Avg: 1.59 / Max: 1.591. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pOptimizedDefault20406080100SE +/- 0.22, N = 3SE +/- 0.35, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 398.2397.1045.0544.441. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pOptimizedDefault20406080100Min: 97.83 / Avg: 98.23 / Max: 98.58Min: 96.44 / Avg: 97.1 / Max: 97.62Min: 44.84 / Avg: 45.05 / Max: 45.27Min: 44.08 / Avg: 44.44 / Max: 44.721. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitOptimizedDefault50100150200250SE +/- 0.53, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3206.68169.37121.9496.921. (CC) gcc options: -pthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitOptimizedDefault4080120160200Min: 205.62 / Avg: 206.68 / Max: 207.23Min: 169.01 / Avg: 169.37 / Max: 169.68Min: 121.72 / Avg: 121.94 / Max: 122.13Min: 96.88 / Avg: 96.92 / Max: 96.991. (CC) gcc options: -pthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinOptimizedDefault612182430SE +/- 0.41, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 324.3323.6212.7711.661. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm
TR 3990Xi9 10980XEOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinOptimizedDefault612182430Min: 23.7 / Avg: 24.33 / Max: 25.1Min: 23.44 / Avg: 23.62 / Max: 23.88Min: 12.7 / Avg: 12.77 / Max: 12.84Min: 11.61 / Avg: 11.66 / Max: 11.741. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DOptimizedDefault11002200330044005500SE +/- 9.51, N = 3SE +/- 7.97, N = 3SE +/- 25.58, N = 8SE +/- 14.22, N = 35027.834999.432446.342458.191. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DOptimizedDefault9001800270036004500Min: 5010.97 / Avg: 5027.83 / Max: 5043.89Min: 4987.57 / Avg: 4999.43 / Max: 5014.59Min: 2357.02 / Avg: 2446.34 / Max: 2507.11Min: 2432.02 / Avg: 2458.19 / Max: 2480.931. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.COptimizedDefault10002000300040005000SE +/- 31.84, N = 3SE +/- 21.84, N = 3SE +/- 10.01, N = 3SE +/- 8.10, N = 34894.034818.152473.352455.481. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.COptimizedDefault9001800270036004500Min: 4845.67 / Avg: 4894.03 / Max: 4954.09Min: 4780.51 / Avg: 4818.15 / Max: 4856.16Min: 2457.36 / Avg: 2473.35 / Max: 2491.78Min: 2444.46 / Avg: 2455.48 / Max: 2471.271. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterOptimizedDefault48121620SE +/- 0.032, N = 3SE +/- 0.020, N = 3SE +/- 0.188, N = 5SE +/- 0.045, N = 38.0198.11914.61014.5371. (CXX) g++ options: -O2 -lOpenCL
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterOptimizedDefault48121620Min: 7.96 / Avg: 8.02 / Max: 8.07Min: 8.08 / Avg: 8.12 / Max: 8.14Min: 14.32 / Avg: 14.61 / Max: 15.35Min: 14.45 / Avg: 14.54 / Max: 14.581. (CXX) g++ options: -O2 -lOpenCL

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pOptimizedDefault3691215SE +/- 0.028, N = 3SE +/- 0.062, N = 3SE +/- 0.034, N = 3SE +/- 0.023, N = 39.8769.5985.5675.5501. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pOptimizedDefault3691215Min: 9.83 / Avg: 9.88 / Max: 9.93Min: 9.51 / Avg: 9.6 / Max: 9.72Min: 5.5 / Avg: 5.57 / Max: 5.61Min: 5.51 / Avg: 5.55 / Max: 5.591. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverOptimizedDefault3691215SE +/- 0.060, N = 3SE +/- 0.095, N = 4SE +/- 0.045, N = 3SE +/- 0.068, N = 36.6376.70510.96411.7931. (CXX) g++ options: -O2 -lOpenCL
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverOptimizedDefault3691215Min: 6.52 / Avg: 6.64 / Max: 6.72Min: 6.53 / Avg: 6.71 / Max: 6.95Min: 10.87 / Avg: 10.96 / Max: 11.01Min: 11.66 / Avg: 11.79 / Max: 11.891. (CXX) g++ options: -O2 -lOpenCL

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUOptimizedDefault3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.0611.156.536.51
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUOptimizedDefault3691215Min: 11.03 / Avg: 11.06 / Max: 11.11Min: 11.1 / Avg: 11.15 / Max: 11.21Min: 6.51 / Avg: 6.53 / Max: 6.54Min: 6.5 / Avg: 6.51 / Max: 6.52

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5OptimizedDefault1.1M2.2M3.3M4.4M5.5MSE +/- 28827.07, N = 3SE +/- 28386.23, N = 3SE +/- 5666.67, N = 3SE +/- 13453.62, N = 351130005125333308633330870001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
TR 3990Xi9 10980XEOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5OptimizedDefault900K1800K2700K3600K4500KMin: 5077000 / Avg: 5113000 / Max: 5170000Min: 5094000 / Avg: 5125333.33 / Max: 5182000Min: 3075000 / Avg: 3086333.33 / Max: 3092000Min: 3061000 / Avg: 3087000 / Max: 31060001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KOptimizedDefault80160240320400SE +/- 1.89, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 0.44, N = 3375.64379.97231.35231.131. (CC) gcc options: -pthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KOptimizedDefault70140210280350Min: 373.14 / Avg: 375.64 / Max: 379.34Min: 379.13 / Avg: 379.97 / Max: 380.46Min: 230.86 / Avg: 231.35 / Max: 231.68Min: 230.62 / Avg: 231.13 / Max: 232.011. (CC) gcc options: -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.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteOptimizedDefault1428425670SE +/- 0.51, N = 3SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 0.57, N = 339.7539.8664.4259.251. (CXX) g++ options: -O2 -lOpenCL
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteOptimizedDefault1326395265Min: 38.73 / Avg: 39.75 / Max: 40.32Min: 39.45 / Avg: 39.86 / Max: 40.23Min: 63.85 / Avg: 64.42 / Max: 65.53Min: 58.43 / Avg: 59.24 / Max: 60.341. (CXX) g++ options: -O2 -lOpenCL

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pOptimizedDefault2004006008001000SE +/- 0.73, N = 3SE +/- 5.28, N = 3SE +/- 1.42, N = 3SE +/- 1.53, N = 3881.35873.54560.03552.051. (CC) gcc options: -pthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pOptimizedDefault150300450600750Min: 879.9 / Avg: 881.35 / Max: 882.2Min: 865.33 / Avg: 873.54 / Max: 883.41Min: 558.61 / Avg: 560.03 / Max: 562.87Min: 550.18 / Avg: 552.05 / Max: 555.071. (CC) gcc options: -pthread

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2OptimizedDefault246810SE +/- 0.00364, N = 3SE +/- 0.01640, N = 3SE +/- 0.00035, N = 3SE +/- 0.00530, N = 34.055865.956324.625026.43599
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: log2OptimizedDefault3691215Min: 4.05 / Avg: 4.06 / Max: 4.06Min: 5.94 / Avg: 5.96 / Max: 5.99Min: 4.62 / Avg: 4.63 / Max: 4.63Min: 6.43 / Avg: 6.44 / Max: 6.44

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.COptimizedDefault15K30K45K60K75KSE +/- 21.90, N = 3SE +/- 25.73, N = 3SE +/- 2.04, N = 3SE +/- 5.06, N = 367707.3467739.7843185.0543782.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.COptimizedDefault12K24K36K48K60KMin: 67667.33 / Avg: 67707.34 / Max: 67742.8Min: 67688.33 / Avg: 67739.78 / Max: 67766.4Min: 43181.07 / Avg: 43185.05 / Max: 43187.81Min: 43772.78 / Avg: 43782.84 / Max: 43788.741. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3OptimizedDefault15003000450060007500SE +/- 4.71, N = 3SE +/- 44.91, N = 3SE +/- 15.97, N = 3SE +/- 13.23, N = 37163.37205.84814.14751.11. (CC) gcc options: -O3 -pthread -lz -llzma
TR 3990Xi9 10980XEOpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3OptimizedDefault13002600390052006500Min: 7157.8 / Avg: 7163.33 / Max: 7172.7Min: 7150.8 / Avg: 7205.8 / Max: 7294.8Min: 4795.6 / Avg: 4814.1 / Max: 4845.9Min: 4729.6 / Avg: 4751.1 / Max: 4775.21. (CC) gcc options: -O3 -pthread -lz -llzma

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.COptimizedDefault6K12K18K24K30KSE +/- 10.23, N = 3SE +/- 40.15, N = 3SE +/- 11.37, N = 3SE +/- 22.45, N = 326530.5626534.1417814.0918004.261. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.COptimizedDefault5K10K15K20K25KMin: 26512.24 / Avg: 26530.56 / Max: 26547.59Min: 26469.3 / Avg: 26534.14 / Max: 26607.57Min: 17791.98 / Avg: 17814.09 / Max: 17829.74Min: 17968.85 / Avg: 18004.26 / Max: 18045.881. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfOptimizedDefault0.53341.06681.60022.13362.667SE +/- 0.00065, N = 3SE +/- 0.00054, N = 3SE +/- 0.00113, N = 3SE +/- 0.01554, N = 32.028172.027941.622122.37070
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: modfOptimizedDefault246810Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 2.34 / Avg: 2.37 / Max: 2.4

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.COptimizedDefault14K28K42K56K70KSE +/- 7.16, N = 3SE +/- 52.68, N = 3SE +/- 33.86, N = 3SE +/- 19.61, N = 365560.8465289.0144872.5744944.571. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.COptimizedDefault11K22K33K44K55KMin: 65549.24 / Avg: 65560.84 / Max: 65573.91Min: 65191.21 / Avg: 65289.01 / Max: 65371.85Min: 44808.16 / Avg: 44872.57 / Max: 44922.88Min: 44918.21 / Avg: 44944.57 / Max: 44982.911. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.COptimizedDefault6K12K18K24K30KSE +/- 13.18, N = 3SE +/- 7.08, N = 3SE +/- 17.57, N = 3SE +/- 34.58, N = 328564.5928563.0219590.9319696.821. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
TR 3990Xi9 10980XEOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.COptimizedDefault5K10K15K20K25KMin: 28538.33 / Avg: 28564.59 / Max: 28579.63Min: 28549.11 / Avg: 28563.02 / Max: 28572.23Min: 19555.9 / Avg: 19590.93 / Max: 19610.82Min: 19627.76 / Avg: 19696.82 / Max: 19734.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsOptimizedDefault0.45540.91081.36621.82162.277SE +/- 0.00136, N = 3SE +/- 0.00032, N = 3SE +/- 0.00107, N = 3SE +/- 0.02519, N = 151.792622.023831.398751.66137
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsOptimizedDefault246810Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 2.02 / Avg: 2.02 / Max: 2.02Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.6 / Avg: 1.66 / Max: 1.88

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1OptimizedDefault306090120150SE +/- 0.29, N = 3SE +/- 0.69, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3106.74107.56153.32153.23
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1OptimizedDefault306090120150Min: 106.25 / Avg: 106.74 / Max: 107.27Min: 106.18 / Avg: 107.56 / Max: 108.38Min: 153.26 / Avg: 153.32 / Max: 153.36Min: 153.18 / Avg: 153.23 / Max: 153.25

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUOptimizedDefault714212835SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 331.9631.4722.5522.29
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUOptimizedDefault714212835Min: 31.53 / Avg: 31.96 / Max: 32.51Min: 31.14 / Avg: 31.47 / Max: 32.05Min: 22.4 / Avg: 22.55 / Max: 22.76Min: 22.27 / Avg: 22.29 / Max: 22.31

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pOptimizedDefault2004006008001000SE +/- 2.15, N = 3SE +/- 2.94, N = 3SE +/- 0.40, N = 3SE +/- 0.68, N = 3857.09882.23617.33618.441. (CC) gcc options: -pthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pOptimizedDefault150300450600750Min: 854.34 / Avg: 857.09 / Max: 861.34Min: 876.9 / Avg: 882.23 / Max: 887.04Min: 616.74 / Avg: 617.33 / Max: 618.09Min: 617.1 / Avg: 618.44 / Max: 619.311. (CC) gcc options: -pthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEOptimizedDefault1020304050SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 332.4932.2745.6145.52
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEOptimizedDefault918273645Min: 32.37 / Avg: 32.49 / Max: 32.66Min: 32.15 / Avg: 32.27 / Max: 32.33Min: 45.28 / Avg: 45.61 / Max: 46.09Min: 45.22 / Avg: 45.52 / Max: 45.67

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtOptimizedDefault0.51221.02441.53662.04882.561SE +/- 0.01708, N = 13SE +/- 0.00090, N = 3SE +/- 0.00097, N = 3SE +/- 0.00215, N = 32.276322.251251.815551.61097
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sqrtOptimizedDefault246810Min: 2.25 / Avg: 2.28 / Max: 2.48Min: 2.25 / Avg: 2.25 / Max: 2.25Min: 1.81 / Avg: 1.82 / Max: 1.82Min: 1.61 / Avg: 1.61 / Max: 1.61

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllOptimizedDefault0.45550.9111.36651.8222.2775SE +/- 0.00238, N = 3SE +/- 0.00006, N = 3SE +/- 0.00098, N = 3SE +/- 0.02230, N = 32.024411.789781.604661.43455
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: ffsllOptimizedDefault246810Min: 2.02 / Avg: 2.02 / Max: 2.03Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.4 / Avg: 1.43 / Max: 1.47

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUOptimizedDefault918273645SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 337.2137.5626.8726.85
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUOptimizedDefault816243240Min: 37.07 / Avg: 37.21 / Max: 37.39Min: 37.44 / Avg: 37.56 / Max: 37.7Min: 26.76 / Avg: 26.87 / Max: 27.09Min: 26.22 / Avg: 26.85 / Max: 27.34

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19OptimizedDefault20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 382.482.260.160.21. (CC) gcc options: -O3 -pthread -lz -llzma
TR 3990Xi9 10980XEOpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19OptimizedDefault1632486480Min: 82.4 / Avg: 82.43 / Max: 82.5Min: 82.1 / Avg: 82.17 / Max: 82.2Min: 60 / Avg: 60.13 / Max: 60.2Min: 60.1 / Avg: 60.17 / Max: 60.31. (CC) gcc options: -O3 -pthread -lz -llzma

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverOptimizedDefault10002000300040005000SE +/- 47.31, N = 3SE +/- 34.51, N = 15SE +/- 9.55, N = 3SE +/- 54.21, N = 153508.104076.634757.814130.551. (CC) gcc options: -O3 -mavx2
TR 3990Xi9 10980XEOpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverOptimizedDefault8001600240032004000Min: 3447.63 / Avg: 3508.1 / Max: 3601.37Min: 3811.66 / Avg: 4076.63 / Max: 4245.9Min: 4740.31 / Avg: 4757.81 / Max: 4773.21Min: 3666.54 / Avg: 4130.55 / Max: 4244.131. (CC) gcc options: -O3 -mavx2

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUOptimizedDefault0.7741.5482.3223.0963.87SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.443.442.602.62
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUOptimizedDefault246810Min: 3.44 / Avg: 3.44 / Max: 3.45Min: 3.44 / Avg: 3.44 / Max: 3.45Min: 2.6 / Avg: 2.6 / Max: 2.6Min: 2.6 / Avg: 2.62 / Max: 2.63

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreOptimizedDefault300600900120015001197119715631565

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianOptimizedDefault246810SE +/- 0.020, N = 3SE +/- 0.018, N = 3SE +/- 0.051, N = 3SE +/- 0.057, N = 36.0596.2137.9207.911
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianOptimizedDefault3691215Min: 6.03 / Avg: 6.06 / Max: 6.1Min: 6.18 / Avg: 6.21 / Max: 6.24Min: 7.83 / Avg: 7.92 / Max: 8.01Min: 7.81 / Avg: 7.91 / Max: 8.01

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineOptimizedDefault20406080100SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 371.6270.9692.4491.37
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineOptimizedDefault20406080100Min: 70.94 / Avg: 71.62 / Max: 72.05Min: 70.66 / Avg: 70.96 / Max: 71.45Min: 92.18 / Avg: 92.44 / Max: 92.59Min: 91.08 / Avg: 91.37 / Max: 91.67

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentOptimizedDefault510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 314.8714.8219.2219.27
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentOptimizedDefault510152025Min: 14.81 / Avg: 14.86 / Max: 14.92Min: 14.79 / Avg: 14.82 / Max: 14.85Min: 19.02 / Avg: 19.22 / Max: 19.44Min: 19.12 / Avg: 19.27 / Max: 19.56

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceOptimizedDefault0.40260.80521.20781.61042.013SE +/- 0.00158, N = 3SE +/- 0.00153, N = 3SE +/- 0.00083, N = 3SE +/- 0.00026, N = 31.789531.786411.401411.40301
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: pthread_onceOptimizedDefault246810Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.78 / Avg: 1.79 / Max: 1.79Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.4 / Avg: 1.4 / Max: 1.4

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhOptimizedDefault3691215SE +/- 0.15465, N = 3SE +/- 0.00468, N = 3SE +/- 0.00427, N = 3SE +/- 0.00570, N = 310.9098010.779608.7772311.17810
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: tanhOptimizedDefault3691215Min: 10.68 / Avg: 10.91 / Max: 11.2Min: 10.77 / Avg: 10.78 / Max: 10.78Min: 8.77 / Avg: 8.78 / Max: 8.78Min: 11.17 / Avg: 11.18 / Max: 11.18

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosOptimizedDefault3691215SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.6512.3710.1712.85
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sincosOptimizedDefault48121620Min: 11.35 / Avg: 11.65 / Max: 11.96Min: 12.36 / Avg: 12.37 / Max: 12.37Min: 10.17 / Avg: 10.17 / Max: 10.18Min: 12.84 / Avg: 12.85 / Max: 12.85

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonOptimizedDefault90180270360450SE +/- 1.45, N = 3SE +/- 1.20, N = 3414434349353
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonOptimizedDefault80160240320400Min: 432 / Avg: 434.33 / Max: 437Min: 351 / Avg: 353.33 / Max: 355

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmOptimizedDefault612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 320.6320.6825.1725.15
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmOptimizedDefault612182430Min: 20.62 / Avg: 20.63 / Max: 20.64Min: 20.61 / Avg: 20.68 / Max: 20.78Min: 25.13 / Avg: 25.17 / Max: 25.24Min: 25.1 / Avg: 25.15 / Max: 25.19

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupOptimizedDefault48121620SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 312.012.214.614.6
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupOptimizedDefault48121620Min: 12.1 / Avg: 12.17 / Max: 12.2Min: 14.5 / Avg: 14.6 / Max: 14.7Min: 14.4 / Avg: 14.57 / Max: 14.7

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateOptimizedDefault1122334455SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 344.546.438.438.3
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateOptimizedDefault918273645Min: 44.5 / Avg: 44.5 / Max: 44.5Min: 46.3 / Avg: 46.43 / Max: 46.6Min: 38.3 / Avg: 38.37 / Max: 38.4Min: 38.2 / Avg: 38.27 / Max: 38.3

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatOptimizedDefault20406080100SE +/- 0.33, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3101.0109.091.190.7
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatOptimizedDefault20406080100Min: 108 / Avg: 108.67 / Max: 109Min: 91 / Avg: 91.07 / Max: 91.2Min: 90.6 / Avg: 90.67 / Max: 90.8

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosOptimizedDefault20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3105.0104.087.787.5
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosOptimizedDefault20406080100Min: 87.7 / Avg: 87.73 / Max: 87.8Min: 87.4 / Avg: 87.47 / Max: 87.5

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisOptimizedDefault20406080100SE +/- 0.77, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.56, N = 396.3193.73110.80111.071. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -lm
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisOptimizedDefault20406080100Min: 94.93 / Avg: 96.31 / Max: 97.58Min: 93.1 / Avg: 93.73 / Max: 94.16Min: 110.53 / Avg: 110.8 / Max: 111.04Min: 110.45 / Avg: 111.07 / Max: 112.191. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -lm

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goOptimizedDefault50100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 3235235201199
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goOptimizedDefault4080120160200Min: 234 / Avg: 234.67 / Max: 235Min: 198 / Avg: 198.67 / Max: 199

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointOptimizedDefault714212835SE +/- 0.21, N = 3SE +/- 0.26, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 325.8625.7730.1030.22
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointOptimizedDefault714212835Min: 25.62 / Avg: 25.86 / Max: 26.28Min: 25.33 / Avg: 25.77 / Max: 26.24Min: 29.91 / Avg: 30.1 / Max: 30.41Min: 30.09 / Avg: 30.22 / Max: 30.39

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000OptimizedDefault1530456075SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 365.0863.8756.2655.531. (CC) gcc options: -O2 -ldl -lz -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000OptimizedDefault1326395265Min: 64.6 / Avg: 65.08 / Max: 65.4Min: 63.62 / Avg: 63.87 / Max: 64.31Min: 56.2 / Avg: 56.26 / Max: 56.35Min: 55.13 / Avg: 55.53 / Max: 55.951. (CC) gcc options: -O2 -ldl -lz -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileOptimizedDefault4080120160200158159136136

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesOptimizedDefault20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3101.0100.087.386.6
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesOptimizedDefault20406080100Min: 99.9 / Avg: 99.97 / Max: 100Min: 87.2 / Avg: 87.3 / Max: 87.4Min: 86.5 / Avg: 86.6 / Max: 86.7

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETOptimizedDefault500K1000K1500K2000K2500KSE +/- 19531.99, N = 15SE +/- 26705.87, N = 15SE +/- 25394.12, N = 3SE +/- 24384.60, N = 61879274.371926576.282120745.132183993.271. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
TR 3990Xi9 10980XEOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: SETOptimizedDefault400K800K1200K1600K2000KMin: 1751313.5 / Avg: 1879274.37 / Max: 1980198Min: 1703577.5 / Avg: 1926576.28 / Max: 2044989.75Min: 2083333.38 / Avg: 2120745.13 / Max: 2169197.5Min: 2087682.62 / Avg: 2183993.27 / Max: 2242152.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUOptimizedDefault48121620SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 314.9814.7012.9412.90
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUOptimizedDefault48121620Min: 14.85 / Avg: 14.98 / Max: 15.11Min: 14.63 / Avg: 14.7 / Max: 14.76Min: 12.81 / Avg: 12.94 / Max: 13.05Min: 12.82 / Avg: 12.9 / Max: 12.97

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceOptimizedDefault100200300400500SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3444445386384
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceOptimizedDefault80160240320400Min: 444 / Avg: 444.33 / Max: 445Min: 443 / Avg: 444.67 / Max: 446Min: 385 / Avg: 386 / Max: 387

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterOptimizedDefault30060090012001500SE +/- 3.50, N = 3SE +/- 3.08, N = 3SE +/- 0.58, N = 3SE +/- 1.88, N = 31168.861183.681345.701336.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp
TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterOptimizedDefault2004006008001000Min: 1164.7 / Avg: 1168.86 / Max: 1175.81Min: 1177.69 / Avg: 1183.68 / Max: 1187.92Min: 1344.69 / Avg: 1345.7 / Max: 1346.7Min: 1334.2 / Avg: 1336.47 / Max: 1340.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1OptimizedDefault3691215SE +/- 0.00205, N = 3SE +/- 0.00135, N = 3SE +/- 0.00474, N = 3SE +/- 0.01121, N = 39.052539.049797.881207.889151. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
TR 3990Xi9 10980XEOpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1OptimizedDefault3691215Min: 9.05 / Avg: 9.05 / Max: 9.06Min: 9.05 / Avg: 9.05 / Max: 9.05Min: 7.87 / Avg: 7.88 / Max: 7.89Min: 7.87 / Avg: 7.89 / Max: 7.91. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUOptimizedDefault246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.316.285.505.51
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUOptimizedDefault3691215Min: 6.28 / Avg: 6.31 / Max: 6.34Min: 6.27 / Avg: 6.28 / Max: 6.29Min: 5.48 / Avg: 5.5 / Max: 5.53Min: 5.49 / Avg: 5.51 / Max: 5.52

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyOptimizedDefault48121620SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 313.1712.9614.6314.62
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyOptimizedDefault48121620Min: 12.91 / Avg: 13.17 / Max: 13.41Min: 12.84 / Avg: 12.96 / Max: 13.07Min: 14.35 / Avg: 14.63 / Max: 14.93Min: 14.33 / Avg: 14.62 / Max: 14.9

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsOptimizedDefault510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 322.622.820.520.2
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsOptimizedDefault510152025Min: 22.6 / Avg: 22.6 / Max: 22.6Min: 22.8 / Avg: 22.8 / Max: 22.8Min: 20.4 / Avg: 20.47 / Max: 20.5Min: 20.1 / Avg: 20.17 / Max: 20.2

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreOptimizedDefault80016002400320040003120312935073513

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhOptimizedDefault3691215SE +/- 0.06812, N = 3SE +/- 0.01297, N = 3SE +/- 0.01352, N = 3SE +/- 0.00662, N = 39.9232510.270809.3025710.40840
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: atanhOptimizedDefault3691215Min: 9.79 / Avg: 9.92 / Max: 10Min: 10.25 / Avg: 10.27 / Max: 10.29Min: 9.28 / Avg: 9.3 / Max: 9.32Min: 10.4 / Avg: 10.41 / Max: 10.42

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expOptimizedDefault1.18062.36123.54184.72245.903SE +/- 0.02078, N = 3SE +/- 0.00032, N = 3SE +/- 0.01567, N = 3SE +/- 0.00286, N = 35.185525.189625.247204.70673
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: expOptimizedDefault246810Min: 5.16 / Avg: 5.19 / Max: 5.23Min: 5.19 / Avg: 5.19 / Max: 5.19Min: 5.22 / Avg: 5.25 / Max: 5.27Min: 4.7 / Avg: 4.71 / Max: 4.71

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DOptimizedDefault20406080100SE +/- 0.50, N = 3SE +/- 1.02, N = 6SE +/- 1.41, N = 3SE +/- 1.23, N = 486.1486.8693.9296.031. (CXX) g++ options: -O2 -lOpenCL
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DOptimizedDefault20406080100Min: 85.15 / Avg: 86.14 / Max: 86.78Min: 84.68 / Avg: 86.85 / Max: 91.58Min: 92.44 / Avg: 93.92 / Max: 96.75Min: 92.41 / Avg: 96.03 / Max: 97.751. (CXX) g++ options: -O2 -lOpenCL

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassOptimizedDefault0.56931.13861.70792.27722.8465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.512.532.282.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassOptimizedDefault246810Min: 2.51 / Avg: 2.51 / Max: 2.51Min: 2.53 / Avg: 2.53 / Max: 2.53Min: 2.28 / Avg: 2.28 / Max: 2.29Min: 2.29 / Avg: 2.3 / Max: 2.31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibOptimizedDefault48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 316.716.415.115.3
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibOptimizedDefault48121620Min: 16.6 / Avg: 16.67 / Max: 16.7Min: 16.4 / Avg: 16.43 / Max: 16.5Min: 15.1 / Avg: 15.1 / Max: 15.1Min: 15.3 / Avg: 15.3 / Max: 15.3

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhOptimizedDefault246810SE +/- 0.00451, N = 3SE +/- 0.00239, N = 3SE +/- 0.06365, N = 3SE +/- 0.00603, N = 37.561527.806097.156537.75877
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinhOptimizedDefault3691215Min: 7.56 / Avg: 7.56 / Max: 7.57Min: 7.8 / Avg: 7.81 / Max: 7.81Min: 7.07 / Avg: 7.16 / Max: 7.28Min: 7.75 / Avg: 7.76 / Max: 7.77

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingOptimizedDefault2004006008001000SE +/- 4.60, N = 3SE +/- 2.68, N = 3SE +/- 3.65, N = 3SE +/- 2.36, N = 3915.04968.12888.06893.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp
TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingOptimizedDefault2004006008001000Min: 909.19 / Avg: 915.04 / Max: 924.12Min: 965.01 / Avg: 968.12 / Max: 973.45Min: 880.87 / Avg: 888.06 / Max: 892.78Min: 889.22 / Avg: 893.87 / Max: 896.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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.

TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUOptimizedDefault2004006008001000SE +/- 1.34, N = 3SE +/- 1.55, N = 3SE +/- 1.51, N = 3SE +/- 2.23, N = 3819.42821.02890.29882.83
TR 3990Xi9 10980XEOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUOptimizedDefault160320480640800Min: 817.71 / Avg: 819.42 / Max: 822.06Min: 817.95 / Avg: 821.02 / Max: 822.93Min: 888.02 / Avg: 890.29 / Max: 893.14Min: 879.97 / Avg: 882.83 / Max: 887.22

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinOptimizedDefault1020304050SE +/- 0.33, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 342.4642.5639.2639.73
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: sinOptimizedDefault918273645Min: 41.95 / Avg: 42.46 / Max: 43.07Min: 42.54 / Avg: 42.56 / Max: 42.57Min: 39.25 / Avg: 39.26 / Max: 39.27Min: 39.73 / Avg: 39.73 / Max: 39.74

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosOptimizedDefault1020304050SE +/- 0.28, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 342.9542.9239.6840.13
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: cosOptimizedDefault918273645Min: 42.39 / Avg: 42.95 / Max: 43.26Min: 42.9 / Avg: 42.91 / Max: 42.94Min: 39.67 / Avg: 39.68 / Max: 39.69Min: 40.13 / Avg: 40.13 / Max: 40.13

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeOptimizedDefault816243240SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 335.6234.5033.5232.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeOptimizedDefault816243240Min: 35.51 / Avg: 35.62 / Max: 35.74Min: 34.4 / Avg: 34.5 / Max: 34.55Min: 33.34 / Avg: 33.52 / Max: 33.71Min: 32.79 / Avg: 32.97 / Max: 33.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassOptimizedDefault0.87751.7552.63253.514.3875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.893.903.613.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassOptimizedDefault246810Min: 3.89 / Avg: 3.89 / Max: 3.89Min: 3.9 / Avg: 3.9 / Max: 3.9Min: 3.59 / Avg: 3.61 / Max: 3.63Min: 3.64 / Avg: 3.65 / Max: 3.661. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

glibc bench

The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhOptimizedDefault246810SE +/- 0.03742, N = 3SE +/- 0.07902, N = 3SE +/- 0.00358, N = 3SE +/- 0.00370, N = 38.377988.776168.200178.78816
TR 3990Xi9 10980XEOpenBenchmarking.orgnanoseconds, Fewer Is Betterglibc bench 1.0Benchmark: asinhOptimizedDefault3691215Min: 8.33 / Avg: 8.38 / Max: 8.45Min: 8.66 / Avg: 8.78 / Max: 8.93Min: 8.19 / Avg: 8.2 / Max: 8.21Min: 8.78 / Avg: 8.79 / Max: 8.8

Cython benchmark

Stress benchmark tests to measure time consumed by cython code Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27OptimizedDefault918273645SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 340.7640.6939.7138.26
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27OptimizedDefault816243240Min: 40.42 / Avg: 40.76 / Max: 41.38Min: 40.57 / Avg: 40.69 / Max: 40.81Min: 39.59 / Avg: 39.71 / Max: 39.91Min: 38.11 / Avg: 38.26 / Max: 38.34

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesOptimizedDefault2004006008001000SE +/- 2.19, N = 3SE +/- 2.65, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 3930931914887
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesOptimizedDefault160320480640800Min: 927 / Avg: 929.67 / Max: 934Min: 926 / Avg: 931 / Max: 935Min: 913 / Avg: 914.33 / Max: 915Min: 885 / Avg: 887 / Max: 888

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3OptimizedDefault70140210280350SE +/- 0.58, N = 3SE +/- 0.33, N = 3299299285285
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3OptimizedDefault50100150200250Min: 284 / Avg: 285 / Max: 286Min: 284 / Avg: 284.67 / Max: 285

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degOptimizedDefault1632486480SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 374.1774.2071.3073.171. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degOptimizedDefault1428425670Min: 73.81 / Avg: 74.17 / Max: 74.47Min: 74.03 / Avg: 74.2 / Max: 74.44Min: 71.25 / Avg: 71.3 / Max: 71.33Min: 73.09 / Avg: 73.17 / Max: 73.251. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyOptimizedDefault20406080100SE +/- 0.33, N = 3105104105103
TR 3990Xi9 10980XEOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyOptimizedDefault20406080100Min: 104 / Avg: 104.67 / Max: 105

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkOptimizedDefault80160240320400SE +/- 0.40, N = 3SE +/- 0.91, N = 3SE +/- 1.22, N = 3SE +/- 0.30, N = 3375.83373.17379.91374.56
TR 3990Xi9 10980XEOpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkOptimizedDefault70140210280350Min: 375.06 / Avg: 375.83 / Max: 376.36Min: 372.18 / Avg: 373.17 / Max: 374.99Min: 377.95 / Avg: 379.91 / Max: 382.14Min: 374.11 / Avg: 374.56 / Max: 375.12

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeOptimizedDefault510152025SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 318.2318.0518.3718.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeOptimizedDefault510152025Min: 18.14 / Avg: 18.23 / Max: 18.32Min: 17.86 / Avg: 18.05 / Max: 18.16Min: 18.22 / Avg: 18.37 / Max: 18.52Min: 18.32 / Avg: 18.35 / Max: 18.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pOptimizedDefault0.02930.05860.08790.11720.1465SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1300.1280.1300.1291. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
TR 3990Xi9 10980XEOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pOptimizedDefault12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.131. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreOptimizedDefault4008001200160020001923193219441948

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeOptimizedDefault1020304050SE +/- 0.48, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.46, N = 346.0245.4945.9245.82
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeOptimizedDefault918273645Min: 45.09 / Avg: 46.02 / Max: 46.71Min: 45.01 / Avg: 45.49 / Max: 46.16Min: 45.85 / Avg: 45.92 / Max: 46.03Min: 44.96 / Avg: 45.82 / Max: 46.55

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageOptimizedDefault5K10K15K20K25KSE +/- 230.98, N = 3SE +/- 222.73, N = 3SE +/- 165.68, N = 15SE +/- 181.23, N = 1521080.5221228.8521137.6421226.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp
TR 3990Xi9 10980XEOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageOptimizedDefault4K8K12K16K20KMin: 20619.12 / Avg: 21080.52 / Max: 21330.83Min: 20791.25 / Avg: 21228.85 / Max: 21519.8Min: 19379.66 / Avg: 21137.64 / Max: 21672.31Min: 19015.5 / Avg: 21226.24 / Max: 21656.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETOptimizedDefault600K1200K1800K2400K3000KSE +/- 50011.51, N = 15SE +/- 54993.70, N = 15SE +/- 31285.26, N = 15SE +/- 44573.75, N = 32774720.922704398.122868487.132869432.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
TR 3990Xi9 10980XEOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 5.0.5Test: GETOptimizedDefault500K1000K1500K2000K2500KMin: 2222222.25 / Avg: 2774720.92 / Max: 2932551.5Min: 2237136.5 / Avg: 2704398.12 / Max: 2932551.5Min: 2652519.75 / Avg: 2868487.13 / Max: 3105590Min: 2824858.75 / Avg: 2869432.5 / Max: 29585801. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneOptimizedDefault4080120160200SE +/- 0.56, N = 3SE +/- 0.61, N = 15SE +/- 8.23, N = 12SE +/- 12.88, N = 954.9954.04169.77165.031. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneOptimizedDefault306090120150Min: 53.87 / Avg: 54.99 / Max: 55.55Min: 51.13 / Avg: 54.04 / Max: 57.04Min: 132.28 / Avg: 169.76 / Max: 230.95Min: 115.17 / Avg: 165.03 / Max: 235.41. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeOptimizedDefault1224364860SE +/- 0.043, N = 3SE +/- 0.065, N = 3SE +/- 10.039, N = 12SE +/- 1.992, N = 129.0519.05053.10536.4541. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
TR 3990Xi9 10980XEOpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeOptimizedDefault1122334455Min: 9 / Avg: 9.05 / Max: 9.14Min: 8.98 / Avg: 9.05 / Max: 9.18Min: 30.97 / Avg: 53.1 / Max: 136.75Min: 31.04 / Avg: 36.45 / Max: 56.541. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system