new rn tr

AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 24.10 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 2410161-PTS-NEWRNTR258
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October 16
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  2 Hours, 33 Minutes
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new rn trOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads)System76 Thelio Major (FA Z5 BIOS)AMD Device 14a44 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA21000GB CT1000T700SSD5AMD Radeon RX 6700 XT 12GBAMD Device 14ccDELL P2415QAquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6EUbuntu 24.106.11.0-8-generic (x86_64)GNOME Shell 47.0X Server + Wayland4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58)GCC 14.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionNew Rn Tr BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: amd-pstate-epp powersave (Boost: Enabled EPP: balance_performance) - CPU Microcode: 0xa108105 - 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: Mitigation of Safe RET + 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%101%102%103%XNNPACKoneDNNLiteRT

new rn trxnnpack: QS8MobileNetV2xnnpack: FP16MobileNetV3Smallxnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV1xnnpack: FP32MobileNetV3Smallxnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV1litert: Quantized COCO SSD MobileNet v1litert: Mobilenet Quantlitert: Inception ResNet V2litert: DeepLab V3litert: Inception V4litert: NASNet Mobileonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUlitert: SqueezeNetlitert: Mobilenet Floatonednn: Deconvolution Batch shapes_1d - CPUonednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_3d - CPUabcd4031416456243743203142385962403221197924.8615789.834923.913513.826612.8173455546.398326.2363266.422102.997.460410.5820290.3351410.5576761.029763988430157483804205242716005405321567935.0316068.833651.912117.326574.6156703548.732326.7883303.962141.967.426100.5732700.3378900.5543511.026724025425558273825207042696047405521567672.1316501.234821.711896.526433.2142541548.888325.4483264.062112.357.504050.5773030.3330220.5603901.027433985429458063762205242855932400721597531.4315994.034742.112363.426390.1151275550.540325.7783282.502132.457.489710.5727390.3373840.5544051.02498OpenBenchmarking.org

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2dbca9001800270036004500SE +/- 27.10, N = 3SE +/- 32.71, N = 3SE +/- 32.13, N = 339853988402540311. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallacdb9001800270036004500SE +/- 19.50, N = 3SE +/- 72.75, N = 3SE +/- 51.08, N = 341644255429443011. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largeabdc12002400360048006000SE +/- 67.87, N = 3SE +/- 39.03, N = 3SE +/- 63.97, N = 356245748580658271. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2adbc8001600240032004000SE +/- 23.68, N = 3SE +/- 37.65, N = 3SE +/- 48.96, N = 337433762380438251. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1abdc400800120016002000SE +/- 11.84, N = 3SE +/- 17.89, N = 3SE +/- 19.34, N = 320312052205220701. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallacbd9001800270036004500SE +/- 20.51, N = 3SE +/- 28.17, N = 3SE +/- 34.96, N = 342384269427142851. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largedabc13002600390052006500SE +/- 38.74, N = 3SE +/- 43.59, N = 3SE +/- 3.71, N = 359325962600560471. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2dabc9001800270036004500SE +/- 4.98, N = 3SE +/- 40.70, N = 3SE +/- 22.36, N = 340074032405340551. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1abcd5001000150020002500SE +/- 28.29, N = 3SE +/- 15.37, N = 3SE +/- 9.40, N = 321192156215621591. (CXX) g++ options: -O3 -lrt -lm

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1dcab2K4K6K8K10KSE +/- 184.40, N = 12SE +/- 83.25, N = 15SE +/- 199.12, N = 127531.437672.137924.867935.03

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantadbc4K8K12K16K20KSE +/- 187.77, N = 3SE +/- 321.23, N = 12SE +/- 268.08, N = 1315789.815994.016068.816501.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2bdca7K14K21K28K35KSE +/- 242.28, N = 3SE +/- 375.95, N = 3SE +/- 330.78, N = 1533651.934742.134821.734923.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3cbda3K6K9K12K15KSE +/- 118.42, N = 3SE +/- 244.20, N = 15SE +/- 50.22, N = 311896.512117.312363.413513.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4dcba6K12K18K24K30KSE +/- 113.50, N = 3SE +/- 209.28, N = 3SE +/- 227.17, N = 1426390.126433.226574.626612.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobilecdba40K80K120K160K200KSE +/- 1575.26, N = 3SE +/- 2554.81, N = 12SE +/- 1880.66, N = 3142541151275156703173455

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUabcd120240360480600SE +/- 0.35, N = 3SE +/- 0.64, N = 3SE +/- 1.00, N = 3546.40548.73548.89550.54MIN: 540.95MIN: 542.36MIN: 542.07MIN: 542.261. (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: CPUcdab70140210280350SE +/- 0.28, N = 3SE +/- 0.91, N = 3SE +/- 1.83, N = 3325.45325.78326.24326.79MIN: 321.39MIN: 320.56MIN: 322.1MIN: 319.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetcadb7001400210028003500SE +/- 34.80, N = 4SE +/- 2.50, N = 3SE +/- 24.67, N = 33264.063266.423282.503303.96

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatacdb5001000150020002500SE +/- 12.05, N = 3SE +/- 14.67, N = 3SE +/- 20.11, N = 32102.992112.352132.452141.96

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUbadc246810SE +/- 0.00222, N = 3SE +/- 0.07017, N = 3SE +/- 0.04488, N = 37.426107.460417.489717.50405MIN: 6.55MIN: 6.52MIN: 4.6MIN: 4.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUdbca0.1310.2620.3930.5240.655SE +/- 0.004087, N = 3SE +/- 0.003697, N = 3SE +/- 0.000734, N = 30.5727390.5732700.5773030.582029MIN: 0.54MIN: 0.54MIN: 0.54MIN: 0.551. (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: CPUcadb0.0760.1520.2280.3040.38SE +/- 0.002114, N = 3SE +/- 0.001618, N = 3SE +/- 0.001917, N = 30.3330220.3351410.3373840.337890MIN: 0.31MIN: 0.31MIN: 0.31MIN: 0.311. (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: CPUbdac0.12610.25220.37830.50440.6305SE +/- 0.004992, N = 3SE +/- 0.003803, N = 3SE +/- 0.000955, N = 30.5543510.5544050.5576760.560390MIN: 0.51MIN: 0.52MIN: 0.52MIN: 0.521. (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: CPUdbca0.23170.46340.69510.92681.1585SE +/- 0.00347, N = 3SE +/- 0.00042, N = 3SE +/- 0.00238, N = 31.024981.026721.027431.02976MIN: 0.96MIN: 0.97MIN: 0.96MIN: 0.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl