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Tests for a future article. Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1662 BIOS) and ASUS Intel RPL-S 16GB on Ubuntu 24.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2410198-PTS-DSDFDS0587
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a
October 19
  1 Hour, 18 Minutes
b
October 19
  1 Hour, 23 Minutes
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dsdfdsOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1662 BIOS)Intel Raptor Lake-S PCH2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36Western Digital WD_BLACK SN850X 2000GBASUS Intel RPL-S 16GBRealtek ALC897ASUS VP28UUbuntu 24.046.10.0-061000rc6daily20240706-generic (x86_64)GNOME Shell 46.0X Server 1.21.1.11 + Wayland4.6 Mesa 24.2~git2407080600.801ed4~oibaf~n (git-801ed4d 2024-07-08 noble-oibaf-ppa)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionDsdfds PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x129 - Thermald 2.5.6- OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+10.2%+10.2%+20.4%+20.4%+30.6%+30.6%40.6%14.1%9.9%9.7%5.2%4.6%3.7%2.9%NASNet MobileDeepLab V329.4%FP32MobileNetV122.9%FP16MobileNetV117.4%squeezenetv1.1Mobilenet QuantmobilenetV3I.R.V7.4%MobileNetV2_2246.3%FP16MobileNetV3LargeA.w.3.5.A5.1%Q.C.S.M.vWrites4.2%Whetstone DoubleR.N.N.I - CPUFP32MobileNetV3Large2.8%LiteRTLiteRTXNNPACKXNNPACKMobile Neural NetworkLiteRTMobile Neural NetworkLiteRTMobile Neural NetworkXNNPACKNAMDLiteRTApache CassandraBYTE Unix BenchmarkoneDNNXNNPACKab

dsdfdsbyte: Whetstone Doublebyte: Pipebyte: System Callbyte: Dhrystone 2xnnpack: QS8MobileNetV2xnnpack: FP16MobileNetV3Smallxnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV1xnnpack: FP32MobileNetV3Smallxnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV1cassandra: Writesnamd: STMV with 1,066,628 Atomsmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetbuild2: Time To Compileonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUlitert: Inception ResNet V2litert: Inception V4litert: DeepLab V3litert: Quantized COCO SSD MobileNet v1litert: Mobilenet Quantlitert: NASNet Mobilelitert: Mobilenet Floatlitert: SqueezeNetnamd: ATPase with 327,506 Atomsonednn: Deconvolution Batch shapes_1d - CPUonednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_3d - CPUab307795.572384778.665518076.81899605032.67868411574136116677281285103510523061860.4506115.8322.0611.8152.7212.6291.8180.9736.74688.3832118.221116.1128238.617993.14619.233200.843256.2319510.7986.1471382.171.528463.680791.992766.676146.185774.03162319189.971939326.665688838.31917381047.37768281496135819577161321101612932938240.4476715.8872.0631.932.69712.441.5940.8876.69887.5282116.91085.0730330.417757.95977.323059.112963.5513872.3992.6391371.341.454193.670481.982516.659756.194644.01431OpenBenchmarking.org

BYTE Unix Benchmark

OpenBenchmarking.orgMWIPS, More Is BetterBYTE Unix Benchmark 5.1.3-gitComputational Test: Whetstone Doubleba70K140K210K280K350K319189.9307795.51. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 5.1.3-gitComputational Test: Pipeab16M32M48M64M80M72384778.671939326.61. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 5.1.3-gitComputational Test: System Callba14M28M42M56M70M65688838.365518076.81. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 5.1.3-gitComputational Test: Dhrystone 2ba400M800M1200M1600M2000M1917381047.31899605032.61. (CC) gcc options: -pedantic -O3 -ffast-math -march=native -mtune=native -lm

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2ba20040060080010007767861. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallba20040060080010008288411. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largeba30060090012001500149615741. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2ba30060090012001500135813611. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1ab400800120016002000166719571. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallba1603204806408007167281. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largeab30060090012001500128513211. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2ba2004006008001000101610351. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1ab30060090012001500105212931. (CXX) g++ options: -O3 -lrt -lm

Apache Cassandra

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 5.0Test: Writesab70K140K210K280K350K306186293824

NAMD

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: STMV with 1,066,628 Atomsab0.10140.20280.30420.40560.5070.450610.44767

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: inception-v3ab4812162015.8315.89MIN: 14.78 / MAX: 27.51MIN: 14.84 / MAX: 27.531. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenet-v1-1.0ab0.46420.92841.39261.85682.3212.0612.063MIN: 1.8 / MAX: 5.06MIN: 1.81 / MAX: 5.011. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: MobileNetV2_224ab0.43430.86861.30291.73722.17151.8151.930MIN: 1.71 / MAX: 2.73MIN: 1.71 / MAX: 2.921. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: SqueezeNetV1.0ba0.6121.2241.8362.4483.062.6972.720MIN: 2.49 / MAX: 4.3MIN: 2.5 / MAX: 4.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: resnet-v2-50ba369121512.4412.63MIN: 11.71 / MAX: 25.47MIN: 11.96 / MAX: 24.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: squeezenetv1.1ba0.40910.81821.22731.63642.04551.5941.818MIN: 1.57 / MAX: 1.9MIN: 1.61 / MAX: 3.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3ba0.21890.43780.65670.87561.09450.8870.973MIN: 0.86 / MAX: 1.12MIN: 0.88 / MAX: 1.681. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: nasnetba2468106.6986.746MIN: 6.26 / MAX: 13.37MIN: 6.27 / MAX: 14.181. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

Build2

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.17Time To Compileba2040608010087.5388.38

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUba50010001500200025002116.902118.22MIN: 2049.88MIN: 2050.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUba20040060080010001085.071116.11MIN: 1043.53MIN: 1040.591. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2ab6K12K18K24K30K28238.630330.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4ba4K8K12K16K20K17757.917993.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3ab130026003900520065004619.235977.32

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1ba70014002100280035003059.113200.84

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantba70014002100280035002963.553256.23

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobileba4K8K12K16K20K13872.319510.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatab2004006008001000986.15992.64

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetba300600900120015001371.341382.17

NAMD

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: ATPase with 327,506 Atomsab0.34390.68781.03171.37561.71951.528461.45419

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUba0.82821.65642.48463.31284.1413.670483.68079MIN: 3.38MIN: 3.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUba0.44840.89681.34521.79362.2421.982511.99276MIN: 1.8MIN: 1.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUba2468106.659756.67614MIN: 6.25MIN: 6.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUab2468106.185776.19464MIN: 5.97MIN: 5.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUba0.90711.81422.72133.62844.53554.014314.03162MIN: 3.75MIN: 3.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl