rt up

AMD Ryzen 9 9950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (2401 BIOS) and AMD Radeon PRO W7900 45GB 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 2410151-PTS-RTUP561730
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October 15
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rt upOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (2401 BIOS)AMD Device 14d82 x 32GB DDR5-6400MT/s Corsair CMK64GX5M2B6400C32Western Digital WD_BLACK SN850X 2000GB + 257GB Flash DriveAMD Radeon PRO W7900 45GB (2200/3200MHz)AMD Navi 31 HDMI/DPDELL U2723QEIntel I225-V + Intel Wi-Fi 6EUbuntu 24.046.10.1-061001-generic (x86_64)GNOME Shell 46.0X Server 1.21.1.11 + Wayland4.6 Mesa 24.2.0-devel (LLVM 18.1.7 DRM 3.57)OpenCL 2.1 AMD-APP (3625.0)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionRt Up BenchmarksSystem 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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xb404022 - 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: Not affected + 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%103%106%110%113%LiteRToneDNNXNNPACK

rt uponednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUlitert: DeepLab V3litert: SqueezeNetlitert: Inception V4litert: NASNet Mobilelitert: Mobilenet Floatlitert: Mobilenet Quantlitert: Inception ResNet V2litert: Quantized COCO SSD MobileNet v1xnnpack: FP32MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QS8MobileNetV2abcd0.6365873.170925.240081.821001.40825752.845401.0801993.851399.0415724.410524.11002.97593.87014335.01237.781024138516019021008107013958517470.6376473.186955.234541.817841.41365753.326401.0521916.711377.4215880.310303.41003.998599.28814386.01265.69995135516229131008106613978587590.6386613.178925.242251.814601.40659752.460399.1521971.801390.8615836.110342.51008.93585.75814366.41273.911001135516189071000107513988617520.6698393.358335.450771.867551.44600795.016422.9102250.631408.4617160.612903.41060.57738.06715403.41448.45107214091693950103811121440884791OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUabcd0.15070.30140.45210.60280.7535SE +/- 0.002186, N = 3SE +/- 0.003981, N = 3SE +/- 0.003543, N = 3SE +/- 0.004097, N = 30.6365870.6376470.6386610.669839MIN: 0.6MIN: 0.6MIN: 0.59MIN: 0.591. (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: CPUacbd0.75561.51122.26683.02243.778SE +/- 0.01148, N = 3SE +/- 0.01639, N = 3SE +/- 0.01628, N = 3SE +/- 0.01850, N = 33.170923.178923.186953.35833MIN: 3.01MIN: 3.01MIN: 3.01MIN: 3.021. (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: CPUbacd1.22642.45283.67924.90566.132SE +/- 0.01667, N = 3SE +/- 0.01241, N = 3SE +/- 0.01347, N = 3SE +/- 0.00366, N = 35.234545.240085.242255.45077MIN: 4.93MIN: 4.93MIN: 4.94MIN: 4.961. (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_1d - Engine: CPUcbad0.42020.84041.26061.68082.101SE +/- 0.00929, N = 3SE +/- 0.00686, N = 3SE +/- 0.01078, N = 3SE +/- 0.01009, N = 31.814601.817841.821001.86755MIN: 1.38MIN: 1.4MIN: 1.4MIN: 1.391. (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: CPUcabd0.32540.65080.97621.30161.627SE +/- 0.00405, N = 3SE +/- 0.00511, N = 3SE +/- 0.00648, N = 3SE +/- 0.00140, N = 31.406591.408251.413651.44600MIN: 1.33MIN: 1.33MIN: 1.33MIN: 1.331. (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 Training - Engine: CPUcabd2004006008001000SE +/- 0.72, N = 3SE +/- 1.48, N = 3SE +/- 0.30, N = 3SE +/- 1.11, N = 3752.46752.85753.33795.02MIN: 726.66MIN: 726.85MIN: 729.83MIN: 763.711. (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: CPUcbad90180270360450SE +/- 0.53, N = 3SE +/- 0.66, N = 3SE +/- 0.27, N = 3SE +/- 0.44, N = 3399.15401.05401.08422.91MIN: 384.47MIN: 385.35MIN: 386.16MIN: 402.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3bcad5001000150020002500SE +/- 19.56, N = 3SE +/- 10.88, N = 3SE +/- 10.75, N = 3SE +/- 30.70, N = 31916.711971.801993.852250.63

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetbcad30060090012001500SE +/- 12.91, N = 6SE +/- 5.30, N = 3SE +/- 2.23, N = 3SE +/- 3.75, N = 31377.421390.861399.041408.46

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4acbd4K8K12K16K20KSE +/- 91.27, N = 3SE +/- 31.83, N = 3SE +/- 106.26, N = 3SE +/- 90.13, N = 315724.415836.115880.317160.6

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobilebcad3K6K9K12K15KSE +/- 51.10, N = 3SE +/- 86.24, N = 3SE +/- 42.72, N = 3SE +/- 102.57, N = 310303.410342.510524.112903.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatabcd2004006008001000SE +/- 1.06, N = 3SE +/- 3.97, N = 3SE +/- 3.98, N = 3SE +/- 3.94, N = 31002.971004.001008.931060.57

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantcabd160320480640800SE +/- 6.33, N = 3SE +/- 2.40, N = 3SE +/- 0.53, N = 3SE +/- 10.36, N = 3585.76593.87599.29738.07

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2acbd3K6K9K12K15KSE +/- 163.02, N = 3SE +/- 120.76, N = 3SE +/- 120.32, N = 3SE +/- 38.80, N = 314335.014366.414386.015403.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1abcd30060090012001500SE +/- 1.69, N = 3SE +/- 7.74, N = 3SE +/- 12.41, N = 6SE +/- 10.93, N = 31237.781265.691273.911448.45

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1bcad2004006008001000SE +/- 9.53, N = 3SE +/- 5.51, N = 3SE +/- 2.33, N = 3SE +/- 14.74, N = 39951001102410721. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2bcad30060090012001500SE +/- 8.33, N = 3SE +/- 6.39, N = 3SE +/- 8.45, N = 3SE +/- 30.28, N = 313551355138514091. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largeacbd400800120016002000SE +/- 14.53, N = 3SE +/- 5.13, N = 3SE +/- 2.65, N = 3SE +/- 6.69, N = 316011618162216931. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallacbd2004006008001000SE +/- 3.61, N = 3SE +/- 3.28, N = 3SE +/- 1.45, N = 3SE +/- 3.18, N = 39029079139501. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1cabd2004006008001000SE +/- 7.22, N = 3SE +/- 6.17, N = 3SE +/- 5.04, N = 3SE +/- 6.08, N = 310001008100810381. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2bacd2004006008001000SE +/- 6.11, N = 3SE +/- 5.49, N = 3SE +/- 0.88, N = 3SE +/- 2.19, N = 310661070107511121. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largeabcd30060090012001500SE +/- 6.84, N = 3SE +/- 2.65, N = 3SE +/- 5.21, N = 3SE +/- 5.51, N = 313951397139814401. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallabcd2004006008001000SE +/- 1.76, N = 3SE +/- 4.70, N = 3SE +/- 1.67, N = 3SE +/- 4.41, N = 38518588618841. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2acbd2004006008001000SE +/- 6.66, N = 3SE +/- 4.84, N = 3SE +/- 2.19, N = 3SE +/- 4.00, N = 37477527597911. (CXX) g++ options: -O3 -lrt -lm