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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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 uplitert: Mobilenet Quantlitert: NASNet Mobilelitert: DeepLab V3litert: Quantized COCO SSD MobileNet v1litert: Inception V4xnnpack: FP32MobileNetV1litert: Inception ResNet V2onednn: Recurrent Neural Network Inference - CPUonednn: IP Shapes 3D - CPUxnnpack: QS8MobileNetV2xnnpack: FP32MobileNetV3Largelitert: Mobilenet Floatonednn: Recurrent Neural Network Training - CPUxnnpack: FP32MobileNetV3Smallonednn: IP Shapes 1D - CPUxnnpack: FP16MobileNetV2onednn: Convolution Batch Shapes Auto - CPUxnnpack: FP32MobileNetV2xnnpack: FP16MobileNetV3Smallxnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV3Largeonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUlitert: SqueezeNetabcd593.87010524.11993.851237.7815724.4102414335.0401.0803.1709274716011002.97752.8459020.63658710705.240081385851100813951.821001.408251399.04599.28810303.41916.711265.6915880.399514386.0401.0523.1869575916221003.998753.3269130.63764710665.234541355858100813971.817841.413651377.42585.75810342.51971.801273.9115836.1100114366.4399.1523.1789275216181008.93752.4609070.63866110755.242251355861100013981.814601.406591390.86738.06712903.42250.631448.4517160.6107215403.4422.9103.3583379116931060.57795.0169500.66983911125.450771409884103814401.867551.446001408.46OpenBenchmarking.org

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantdcba160320480640800SE +/- 10.36, N = 3SE +/- 6.33, N = 3SE +/- 0.53, N = 3SE +/- 2.40, N = 3738.07585.76599.29593.87

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobiledcba3K6K9K12K15KSE +/- 102.57, N = 3SE +/- 86.24, N = 3SE +/- 51.10, N = 3SE +/- 42.72, N = 312903.410342.510303.410524.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3dcba5001000150020002500SE +/- 30.70, N = 3SE +/- 10.88, N = 3SE +/- 19.56, N = 3SE +/- 10.75, N = 32250.631971.801916.711993.85

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1dcba30060090012001500SE +/- 10.93, N = 3SE +/- 12.41, N = 6SE +/- 7.74, N = 3SE +/- 1.69, N = 31448.451273.911265.691237.78

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4dcba4K8K12K16K20KSE +/- 90.13, N = 3SE +/- 31.83, N = 3SE +/- 106.26, N = 3SE +/- 91.27, N = 317160.615836.115880.315724.4

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1dcba2004006008001000SE +/- 14.74, N = 3SE +/- 5.51, N = 3SE +/- 9.53, N = 3SE +/- 2.33, N = 31072100199510241. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2dcba3K6K9K12K15KSE +/- 38.80, N = 3SE +/- 120.76, N = 3SE +/- 120.32, N = 3SE +/- 163.02, N = 315403.414366.414386.014335.0

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUdcba90180270360450SE +/- 0.44, N = 3SE +/- 0.53, N = 3SE +/- 0.66, N = 3SE +/- 0.27, N = 3422.91399.15401.05401.08MIN: 402.96MIN: 384.47MIN: 385.35MIN: 386.161. (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: CPUdcba0.75561.51122.26683.02243.778SE +/- 0.01850, N = 3SE +/- 0.01639, N = 3SE +/- 0.01628, N = 3SE +/- 0.01148, N = 33.358333.178923.186953.17092MIN: 3.02MIN: 3.01MIN: 3.01MIN: 3.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2dcba2004006008001000SE +/- 4.00, N = 3SE +/- 4.84, N = 3SE +/- 2.19, N = 3SE +/- 6.66, N = 37917527597471. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largedcba400800120016002000SE +/- 6.69, N = 3SE +/- 5.13, N = 3SE +/- 2.65, N = 3SE +/- 14.53, N = 316931618162216011. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatdcba2004006008001000SE +/- 3.94, N = 3SE +/- 3.98, N = 3SE +/- 3.97, N = 3SE +/- 1.06, N = 31060.571008.931004.001002.97

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUdcba2004006008001000SE +/- 1.11, N = 3SE +/- 0.72, N = 3SE +/- 0.30, N = 3SE +/- 1.48, N = 3795.02752.46753.33752.85MIN: 763.71MIN: 726.66MIN: 729.83MIN: 726.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smalldcba2004006008001000SE +/- 3.18, N = 3SE +/- 3.28, N = 3SE +/- 1.45, N = 3SE +/- 3.61, N = 39509079139021. (CXX) g++ options: -O3 -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUdcba0.15070.30140.45210.60280.7535SE +/- 0.004097, N = 3SE +/- 0.003543, N = 3SE +/- 0.003981, N = 3SE +/- 0.002186, N = 30.6698390.6386610.6376470.636587MIN: 0.59MIN: 0.59MIN: 0.6MIN: 0.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2dcba2004006008001000SE +/- 2.19, N = 3SE +/- 0.88, N = 3SE +/- 6.11, N = 3SE +/- 5.49, N = 311121075106610701. (CXX) g++ options: -O3 -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUdcba1.22642.45283.67924.90566.132SE +/- 0.00366, N = 3SE +/- 0.01347, N = 3SE +/- 0.01667, N = 3SE +/- 0.01241, N = 35.450775.242255.234545.24008MIN: 4.96MIN: 4.94MIN: 4.93MIN: 4.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2dcba30060090012001500SE +/- 30.28, N = 3SE +/- 6.39, N = 3SE +/- 8.33, N = 3SE +/- 8.45, N = 314091355135513851. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smalldcba2004006008001000SE +/- 4.41, N = 3SE +/- 1.67, N = 3SE +/- 4.70, N = 3SE +/- 1.76, N = 38848618588511. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1dcba2004006008001000SE +/- 6.08, N = 3SE +/- 7.22, N = 3SE +/- 5.04, N = 3SE +/- 6.17, N = 310381000100810081. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largedcba30060090012001500SE +/- 5.51, N = 3SE +/- 5.21, N = 3SE +/- 2.65, N = 3SE +/- 6.84, N = 314401398139713951. (CXX) g++ options: -O3 -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUdcba0.42020.84041.26061.68082.101SE +/- 0.01009, N = 3SE +/- 0.00929, N = 3SE +/- 0.00686, N = 3SE +/- 0.01078, N = 31.867551.814601.817841.82100MIN: 1.39MIN: 1.38MIN: 1.4MIN: 1.41. (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: CPUdcba0.32540.65080.97621.30161.627SE +/- 0.00140, N = 3SE +/- 0.00405, N = 3SE +/- 0.00648, N = 3SE +/- 0.00511, N = 31.446001.406591.413651.40825MIN: 1.33MIN: 1.33MIN: 1.33MIN: 1.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetdcba30060090012001500SE +/- 3.75, N = 3SE +/- 5.30, N = 3SE +/- 12.91, N = 6SE +/- 2.23, N = 31408.461390.861377.421399.04