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&grr .
auf11 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c d AMD 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 1507 4 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT 1024GB MTFDKBA1T0QFM-1BD1AABGB AMD Radeon 512MB AMD Rembrandt Radeon HD Audio MEDIATEK Device 7925 Ubuntu 24.04 6.10.0-phx (x86_64) GNOME Shell 46.0 X Server 1.21.1.11 + Wayland 4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57) GCC 13.2.0 ext4 2880x1800 OpenBenchmarking.org Kernel Details - amdgpu.dcdebugmask=0x600 - Transparent Huge Pages: madvise Compiler 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
auf11 lczero: Eigen lczero: BLAS xnnpack: QU8MobileNetV3Small xnnpack: QU8MobileNetV3Large xnnpack: QU8MobileNetV2 xnnpack: FP16MobileNetV3Small xnnpack: FP16MobileNetV3Large xnnpack: FP16MobileNetV2 xnnpack: FP32MobileNetV3Small xnnpack: FP32MobileNetV3Large xnnpack: FP32MobileNetV2 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: squeezenetv1.1 mnn: mobilenetV3 mnn: nasnet simdjson: TopTweet simdjson: DistinctUserID simdjson: PartialTweets simdjson: Kostya simdjson: LargeRand y-cruncher: 1B y-cruncher: 500M a b c d 43 55 1055 2001 1745 1252 2535 2178 995 2255 1961 30.431 3.606 3.579 4.62 16.022 2.99 1.936 14.455 7.08 7.76 6.83 4.49 1.24 27.638 12.488 39 61 1017 1819 1651 1201 2485 2383 1145 2530 2238 32.066 3.666 3.692 4.575 15.654 2.919 1.945 16.304 9 7.06 6.39 4.5 1.24 28.244 12.738 41 67 1017 1802 1626 1184 2554 2423 1169 2388 2124 32.233 3.672 3.773 4.563 16.183 3.025 1.946 15.493 8.99 7.17 6.36 5.9 1.25 28.166 12.694 43 52 1059 1907 1674 1205 2481 2377 1180 2585 2270 31.042 3.651 3.746 4.662 16.021 2.936 1.917 16.452 6.93 7.18 6.76 4.45 1.25 28.249 12.517 OpenBenchmarking.org
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.31.1 Backend: Eigen a b c d 10 20 30 40 50 43 39 41 43 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.31.1 Backend: BLAS a b c d 15 30 45 60 75 55 61 67 52 1. (CXX) g++ options: -flto -pthread
XNNPACK Model: QU8MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV3Small a b c d 200 400 600 800 1000 1055 1017 1017 1059 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QU8MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV3Large a b c d 400 800 1200 1600 2000 2001 1819 1802 1907 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: QU8MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: QU8MobileNetV2 a b c d 400 800 1200 1600 2000 1745 1651 1626 1674 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV3Small a b c d 300 600 900 1200 1500 1252 1201 1184 1205 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV3Large a b c d 500 1000 1500 2000 2500 2535 2485 2554 2481 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP16MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP16MobileNetV2 a b c d 500 1000 1500 2000 2500 2178 2383 2423 2377 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Small OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV3Small a b c d 300 600 900 1200 1500 995 1145 1169 1180 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV3Large OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV3Large a b c d 600 1200 1800 2400 3000 2255 2530 2388 2585 1. (CXX) g++ options: -O3 -lrt -lm
XNNPACK Model: FP32MobileNetV2 OpenBenchmarking.org us, Fewer Is Better XNNPACK 2cd86b Model: FP32MobileNetV2 a b c d 500 1000 1500 2000 2500 1961 2238 2124 2270 1. (CXX) g++ options: -O3 -lrt -lm
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: inception-v3 a b c d 7 14 21 28 35 30.43 32.07 32.23 31.04 MIN: 28.63 / MAX: 62.24 MIN: 29.4 / MAX: 63.3 MIN: 29.38 / MAX: 67.1 MIN: 27.39 / MAX: 59.74 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 a b c d 0.8262 1.6524 2.4786 3.3048 4.131 3.606 3.666 3.672 3.651 MIN: 3.32 / MAX: 8.39 MIN: 3.42 / MAX: 9.6 MIN: 3.39 / MAX: 25.1 MIN: 3.39 / MAX: 9.25 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 a b c d 0.8489 1.6978 2.5467 3.3956 4.2445 3.579 3.692 3.773 3.746 MIN: 3.47 / MAX: 29.51 MIN: 3.49 / MAX: 30.84 MIN: 3.44 / MAX: 22.94 MIN: 3.59 / MAX: 6.32 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 a b c d 1.049 2.098 3.147 4.196 5.245 4.620 4.575 4.563 4.662 MIN: 4.42 / MAX: 35.65 MIN: 4.36 / MAX: 21.58 MIN: 4.38 / MAX: 22.95 MIN: 4.35 / MAX: 7.56 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 a b c d 4 8 12 16 20 16.02 15.65 16.18 16.02 MIN: 15.02 / MAX: 47.23 MIN: 15.06 / MAX: 33.59 MIN: 15.15 / MAX: 49.82 MIN: 15.25 / MAX: 41.56 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 a b c d 0.6806 1.3612 2.0418 2.7224 3.403 2.990 2.919 3.025 2.936 MIN: 2.84 / MAX: 29.21 MIN: 2.88 / MAX: 5.07 MIN: 2.88 / MAX: 5.62 MIN: 2.88 / MAX: 4.96 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 a b c d 0.4379 0.8758 1.3137 1.7516 2.1895 1.936 1.945 1.946 1.917 MIN: 1.71 / MAX: 24.23 MIN: 1.73 / MAX: 28.5 MIN: 1.78 / MAX: 13.45 MIN: 1.76 / MAX: 5.4 1. (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: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.9.b11b7037d Model: nasnet a b c d 4 8 12 16 20 14.46 16.30 15.49 16.45 MIN: 13.96 / MAX: 46.22 MIN: 15.12 / MAX: 38.62 MIN: 14.46 / MAX: 38.16 MIN: 14.97 / MAX: 39.96 1. (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
simdjson Throughput Test: TopTweet OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: TopTweet a b c d 3 6 9 12 15 7.08 9.00 8.99 6.93 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: DistinctUserID a b c d 2 4 6 8 10 7.76 7.06 7.17 7.18 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: PartialTweets a b c d 2 4 6 8 10 6.83 6.39 6.36 6.76 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: Kostya a b c d 1.3275 2.655 3.9825 5.31 6.6375 4.49 4.50 5.90 4.45 1. (CXX) g++ options: -O3 -lrt
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 3.10 Throughput Test: LargeRandom a b c d 0.2813 0.5626 0.8439 1.1252 1.4065 1.24 1.24 1.25 1.25 1. (CXX) g++ options: -O3 -lrt
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B a b c d 7 14 21 28 35 27.64 28.24 28.17 28.25
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M a b c d 3 6 9 12 15 12.49 12.74 12.69 12.52
Phoronix Test Suite v10.8.5