auf11

AMD Ryzen AI 9 HX 370 testing with a ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS) and AMD Radeon 512MB on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2408115-NE-AUF11752014&gru&sor.

auf11ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionabcdAMD Ryzen AI 9 HX 370 @ 4.37GHz (12 Cores / 24 Threads)ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS)AMD Device 15074 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT1024GB MTFDKBA1T0QFM-1BD1AABGBAMD Radeon 512MBAMD Rembrandt Radeon HD AudioMEDIATEK Device 7925Ubuntu 24.046.10.0-phx (x86_64)GNOME Shell 46.0X Server 1.21.1.11 + Wayland4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext42880x1800OpenBenchmarking.orgKernel Details- amdgpu.dcdebugmask=0x600 - Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - Platform Profile: balanced - CPU Microcode: 0xb204011 - ACPI Profile: balanced Security Details- 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

auf11simdjson: Kostyasimdjson: TopTweetsimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDlczero: BLASlczero: Eigenmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3y-cruncher: 1By-cruncher: 500Mxnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QU8MobileNetV2xnnpack: QU8MobileNetV3Largexnnpack: QU8MobileNetV3Smallabcd4.497.081.246.837.76554314.4551.9362.9916.0224.623.5793.60630.43127.63812.488196122559952178253512521745200110554.591.246.397.06613916.3041.9452.91915.6544.5753.6923.66632.06628.24412.7382238253011452383248512011651181910175.98.991.256.367.17674115.4931.9463.02516.1834.5633.7733.67232.23328.16612.6942124238811692423255411841626180210174.456.931.256.767.18524316.4521.9172.93616.0214.6623.7463.65131.04228.24912.517227025851180237724811205167419071059OpenBenchmarking.org

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: Kostyacbad1.32752.6553.98255.316.63755.904.504.494.451. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: TopTweet

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: TopTweetbcad36912159.008.997.086.931. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: LargeRandomdcba0.28130.56260.84391.12521.40651.251.251.241.241. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: PartialTweetsadbc2468106.836.766.396.361. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: DistinctUserIDadcb2468107.767.187.177.061. (CXX) g++ options: -O3 -lrt

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: BLAScbad1530456075676155521. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: Eigendacb1020304050434341391. (CXX) g++ options: -flto -pthread

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: nasnetacbd4812162014.4615.4916.3016.45MIN: 13.96 / MAX: 46.22MIN: 14.46 / MAX: 38.16MIN: 15.12 / MAX: 38.62MIN: 14.97 / MAX: 39.961. (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

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3dabc0.43790.87581.31371.75162.18951.9171.9361.9451.946MIN: 1.76 / MAX: 5.4MIN: 1.71 / MAX: 24.23MIN: 1.73 / MAX: 28.5MIN: 1.78 / MAX: 13.451. (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

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: squeezenetv1.1bdac0.68061.36122.04182.72243.4032.9192.9362.9903.025MIN: 2.88 / MAX: 5.07MIN: 2.88 / MAX: 4.96MIN: 2.84 / MAX: 29.21MIN: 2.88 / MAX: 5.621. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: resnet-v2-50bdac4812162015.6516.0216.0216.18MIN: 15.06 / MAX: 33.59MIN: 15.25 / MAX: 41.56MIN: 15.02 / MAX: 47.23MIN: 15.15 / MAX: 49.821. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: SqueezeNetV1.0cbad1.0492.0983.1474.1965.2454.5634.5754.6204.662MIN: 4.38 / MAX: 22.95MIN: 4.36 / MAX: 21.58MIN: 4.42 / MAX: 35.65MIN: 4.35 / MAX: 7.561. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: MobileNetV2_224abdc0.84891.69782.54673.39564.24453.5793.6923.7463.773MIN: 3.47 / MAX: 29.51MIN: 3.49 / MAX: 30.84MIN: 3.59 / MAX: 6.32MIN: 3.44 / MAX: 22.941. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenet-v1-1.0adbc0.82621.65242.47863.30484.1313.6063.6513.6663.672MIN: 3.32 / MAX: 8.39MIN: 3.39 / MAX: 9.25MIN: 3.42 / MAX: 9.6MIN: 3.39 / MAX: 25.11. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: inception-v3adbc71421283530.4331.0432.0732.23MIN: 28.63 / MAX: 62.24MIN: 27.39 / MAX: 59.74MIN: 29.4 / MAX: 63.3MIN: 29.38 / MAX: 67.11. (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

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1Bacbd71421283527.6428.1728.2428.25

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 500Madcb369121512.4912.5212.6912.74

XNNPACK

Model: FP32MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV2acbd500100015002000250019612124223822701. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Largeacbd600120018002400300022552388253025851. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Smallabcd300600900120015009951145116911801. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV2adbc500100015002000250021782377238324231. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Largedbac500100015002000250024812485253525541. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Smallcbda3006009001200150011841201120512521. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV2cbda40080012001600200016261651167417451. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Largecbda40080012001600200018021819190720011. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Smallbcad200400600800100010171017105510591. (CXX) g++ options: -O3 -lrt -lm


Phoronix Test Suite v10.8.5