8700K Okt

Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2010102-FI-8700KOKT717&rdt&rro.

8700K OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution1q3Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads)ASUS TUF Z370-PLUS GAMING (2001 BIOS)Intel 8th Gen Core16GB128GB THNSN5128GPU7 TOSHIBAASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDVA2431Intel I219-VUbuntu 20.045.9.0-050900rc6daily20200923-generic (x86_64) 20200922GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

8700K Oktvkfft: lczero: BLASlczero: Eigendolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2dcraw: RAW To PPM Image Conversiondeepspeech: CPUrnnoise: couchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP16 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP32 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP32 - Intel GPUhint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression1q31258101191017.45530062.862620474109.2259.90546733436.135.39668.7821623.030102.308588347.540.781541951086521368862738342.021970.501.922078.551.203315.991.173334.635430.030.735320.880.752282.481.721714.442.30466135327.5448556.9268.0422.902.701257101190317.40829682.295831337109.2509.93246425051.735.41868.7981222.97199.931589774.710.777541841082601370312740161.962048.741.952066.781.193318.051.183335.485396.300.745359.640.752276.851.721718.332.31465338606.3084054.3865.8022.863.081257100491017.46030235.376695057109.2469.81046440131.935.38668.7769323.023102.052590153.230.782543581085351370352730791.942068.061.952064.291.213315.901.193334.775371.460.745348.290.752278.881.731717.252.30463644642.7119954.7865.2022.842.68OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-293q130060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 3125712571258

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS3q12004006008001000SE +/- 9.70, N = 3SE +/- 7.21, N = 3SE +/- 8.76, N = 31004101110111. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen3q12004006008001000SE +/- 6.17, N = 3SE +/- 4.26, N = 3SE +/- 4.81, N = 39109039101. (CXX) g++ options: -flto -pthread

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics3q148121620SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 317.4617.4117.46

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine3q16K12K18K24K30KSE +/- 42.20, N = 3SE +/- 46.57, N = 3SE +/- 199.11, N = 330235.3829682.3030062.861. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search3q120406080100SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3109.25109.25109.231. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA3q13691215SE +/- 0.053, N = 3SE +/- 0.081, N = 3SE +/- 0.081, N = 39.8109.9329.9051. (CC) gcc options: -std=c99 -O3 -lm -lpthread

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 23q110M20M30M40M50MSE +/- 159968.45, N = 3SE +/- 197175.04, N = 3SE +/- 21253.58, N = 346440131.946425051.746733436.1

dcraw

RAW To PPM Image Conversion

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion3q1816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 335.3935.4235.401. (CC) gcc options: -lm

DeepSpeech

Acceleration: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU3q11530456075SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 368.7868.8068.78

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-283q1612182430SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 323.0222.9723.031. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 243q120406080100SE +/- 0.96, N = 3SE +/- 0.40, N = 3SE +/- 0.09, N = 3102.0599.93102.311. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.163q1130K260K390K520K650KSE +/- 1824.37, N = 3SE +/- 2262.22, N = 3SE +/- 3241.91, N = 3590153.23589774.71588347.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark3q10.1760.3520.5280.7040.88SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.7820.7770.7811. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1003q112K24K36K48K60KSE +/- 51.52, N = 3SE +/- 50.52, N = 3SE +/- 28.37, N = 35435854184541951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 2003q120K40K60K80K100KSE +/- 83.06, N = 3SE +/- 36.69, N = 3SE +/- 90.27, N = 31085351082601086521. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1003q130K60K90K120K150KSE +/- 151.20, N = 3SE +/- 115.83, N = 3SE +/- 191.92, N = 31370351370311368861. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 2003q160K120K180K240K300KSE +/- 107.57, N = 3SE +/- 328.48, N = 3SE +/- 545.89, N = 32730792740162738341. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU3q10.45450.9091.36351.8182.2725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.941.962.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU3q1400800120016002000SE +/- 21.36, N = 3SE +/- 8.30, N = 3SE +/- 12.60, N = 32068.062048.741970.501. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU3q10.43880.87761.31641.75522.194SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.951.951.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU3q1400800120016002000SE +/- 2.53, N = 3SE +/- 7.61, N = 3SE +/- 6.71, N = 32064.292066.782078.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU3q10.27230.54460.81691.08921.3615SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.211.191.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU3q17001400210028003500SE +/- 6.32, N = 3SE +/- 11.15, N = 3SE +/- 6.83, N = 33315.903318.053315.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU3q10.26780.53560.80341.07121.339SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.191.181.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU3q17001400210028003500SE +/- 14.79, N = 3SE +/- 7.18, N = 3SE +/- 2.93, N = 33334.773335.483334.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU3q112002400360048006000SE +/- 36.79, N = 3SE +/- 20.45, N = 3SE +/- 62.37, N = 35371.465396.305430.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU3q10.16650.3330.49950.6660.8325SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.740.740.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU3q111002200330044005500SE +/- 32.11, N = 3SE +/- 36.93, N = 3SE +/- 11.61, N = 35348.295359.645320.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU3q10.16880.33760.50640.67520.844SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.750.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU3q15001000150020002500SE +/- 2.21, N = 3SE +/- 4.69, N = 3SE +/- 1.45, N = 32278.882276.852282.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU3q10.38930.77861.16791.55721.9465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.731.721.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU3q1400800120016002000SE +/- 0.68, N = 3SE +/- 5.87, N = 3SE +/- 11.81, N = 31717.251718.331714.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU3q10.51981.03961.55942.07922.599SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.302.312.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT3q1100M200M300M400M500MSE +/- 509123.31, N = 3SE +/- 1066623.68, N = 3SE +/- 450905.78, N = 3463644642.71465338606.31466135327.541. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica3q11326395265SE +/- 0.47, N = 12SE +/- 0.77, N = 3SE +/- 0.20, N = 354.7854.3856.92

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda3q11530456075SE +/- 0.34, N = 3SE +/- 0.45, N = 3SE +/- 2.39, N = 1265.2065.8068.04

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm3q1510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 322.8422.8622.90

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression3q10.6931.3862.0792.7723.465SE +/- 0.03, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 142.683.082.70

Phoronix Test Suite v10.8.5