rt ml lunar lalke

Intel Core Ultra 7 256V testing with a ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 (UX5406SA.300 BIOS) and ASUS Intel LNL 7GB on Ubuntu 24.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2410150-NE-RTMLLUNAR57&sor&grs.

rt ml lunar lalkeProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionabcdIntel Core Ultra 7 256V @ 4.70GHz (8 Cores)ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 (UX5406SA.300 BIOS)Intel Device a87f8 x 2GB LPDDR5-8533MT/s Samsung1024GB Western Digital WD PC SN560 SDDPNQE-1T00-1102ASUS Intel LNL 7GBIntel Lunar Lake-M HD AudioIntel Device a840Ubuntu 24.106.11.0-8-generic (x86_64)GNOME Shell 47.0X Server + Wayland4.6 Mesa 24.3~git2410050600.39e301~oibaf~o (git-39e3015 2024-10-05 oracular-oibaf-ppOpenCL 3.0GCC 14.2.0ext42880x1800OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/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-build-config=bootstrap-lto-lean --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: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x114 - Thermald 2.5.8Security 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; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

rt ml lunar lalkeonednn: IP Shapes 1D - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Inference - CPUonednn: Recurrent Neural Network Training - CPUonednn: Convolution Batch Shapes Auto - CPUxnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Smalllitert: Mobilenet Floatlitert: Quantized COCO SSD MobileNet v1xnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV2onednn: Deconvolution Batch shapes_1d - CPUxnnpack: QS8MobileNetV2xnnpack: FP16MobileNetV3Smalllitert: Mobilenet Quantlitert: DeepLab V3litert: NASNet Mobilexnnpack: FP16MobileNetV3Largelitert: Inception V4onednn: IP Shapes 3D - CPUlitert: SqueezeNetlitert: Inception ResNet V2abcd28.641381.382638654.147469.313.06342710456827569533368.655751.87394425147.5646514318914311.173692.058215.58230361928.87.651434065.6956566.931.177737.51920543.440646.211.19842623466927019463382.835780.23399625547.4777514358994304.333732.928230.732304616157.620384071.3256700.727.794945.051924385.146000.711.62742657452227479443418.295767.25398125527.5063114178924354.913723.378157.02229561797.77.615044082.0156712.2134.52674.949422618.759465.311.00632565454727639633353.435675.1392825417.4660514188884327.053730.478232.79228561788.87.640384063.3856752.5OpenBenchmarking.org

oneDNN

Harness: IP Shapes 1D - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUcabd30609012015027.7928.6431.18134.53MIN: 9.27MIN: 9.25MIN: 9.31MIN: 9.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUbcda2040608010037.5245.0574.9581.38MIN: 9.23MIN: 9.32MIN: 9.26MIN: 9.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUbdca8K16K24K32K40K20543.422618.724385.138654.1MIN: 10317.1MIN: 10970.2MIN: 15657.9MIN: 25281.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN

Harness: Recurrent Neural Network Training - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUbcad13K26K39K52K65K40646.246000.747469.359465.3MIN: 18915.5MIN: 23528.6MIN: 30651.9MIN: 31857.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUdbca369121511.0111.2011.6313.06MIN: 6.5MIN: 6.75MIN: 6.71MIN: 6.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

Model: FP32MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largedbca600120018002400300025652623265727101. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV1

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1cdab1000200030004000500045224547456846691. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2bcad600120018002400300027012747275627631. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallcbad20040060080010009449469539631. (CXX) g++ options: -O3 -lrt -lm

LiteRT

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatdabc70014002100280035003353.433368.653382.833418.29

LiteRT

Model: Quantized COCO SSD MobileNet v1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1dacb120024003600480060005675.105751.875767.255780.23

XNNPACK

Model: FP16MobileNetV1

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1dacb900180027003600450039283944398139961. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2adcb500100015002000250025142541255225541. (CXX) g++ options: -O3 -lrt -lm

oneDNN

Harness: Deconvolution Batch shapes_1d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUdbca2468107.466057.477757.506317.56465MIN: 7.03MIN: 6.92MIN: 6.98MIN: 6.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

XNNPACK

Model: QS8MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2cdab3006009001200150014171418143114351. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smalldacb20040060080010008888918928991. (CXX) g++ options: -O3 -lrt -lm

LiteRT

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantbadc90018002700360045004304.334311.174327.054354.91

LiteRT

Model: DeepLab V3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3acdb80016002400320040003692.053723.373730.473732.92

LiteRT

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobilecabd2K4K6K8K10K8157.028215.588230.738232.79

XNNPACK

Model: FP16MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largedcab500100015002000250022852295230323041. (CXX) g++ options: -O3 -lrt -lm

LiteRT

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4bdca13K26K39K52K65K61615.061788.861797.761928.8

oneDNN

Harness: IP Shapes 3D - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUcbda2468107.615047.620387.640387.65143MIN: 7.29MIN: 7.21MIN: 7.42MIN: 7.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

LiteRT

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetdabc90018002700360045004063.384065.694071.324082.01

LiteRT

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2abcd12K24K36K48K60K56566.956700.756712.256752.5


Phoronix Test Suite v10.8.5