epyc turin

2 x AMD EPYC 9755 128-Core testing with a AMD VOLCANO (RVOT1001B BIOS) and ASPEED 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 2410199-NE-EPYCTURIN14
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October 19
  59 Minutes
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October 19
  2 Hours, 7 Minutes
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epyc turinOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9755 128-Core @ 2.70GHz (256 Cores / 512 Threads)AMD VOLCANO (RVOT1001B BIOS)AMD Device 153a1520GB512GB SAMSUNG MZVL2512HCJQ-00B00 + 3201GB Micron_7450_MTFDKCB3T2TFSASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.12.0-rc3-phx (x86_64)GCC 13.2.0 + Clang 18.1.3ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEpyc Turin 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: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002116- 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: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable; IBPB: disabled; STIBP: disabled; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+79.7%+79.7%+159.4%+159.4%+239.1%+239.1%318.7%205.2%128.1%126.8%46%23.6%22%19.4%11%7%FP32MobileNetV1Mobilenet FloatSqueezeNetI.R.VNASNet MobileFP16MobileNetV3Small31.7%FP32MobileNetV2FP16MobileNetV1FP32MobileNetV3LargeQS8MobileNetV217.9%Q.C.S.M.v12.9%Inception V4DeepLab V39.5%FP16MobileNetV3Large9.3%FP16MobileNetV27.8%FP32MobileNetV3SmallMobilenet Quant6.6%XNNPACKLiteRTLiteRTLiteRTLiteRTXNNPACKXNNPACKXNNPACKXNNPACKXNNPACKLiteRTLiteRTLiteRTXNNPACKXNNPACKXNNPACKLiteRTab

epyc turinlitert: DeepLab V3litert: SqueezeNetlitert: Inception V4litert: NASNet Mobilelitert: Mobilenet Floatlitert: Mobilenet Quantlitert: Inception ResNet V2litert: Quantized COCO SSD MobileNet v1onednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUepoch: Conewarpx: Uniform Plasmawarpx: Plasma Accelerationxnnpack: FP32MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QS8MobileNetV2ab93820.7105380422782183165075229.343601.882433563357.40.7973410.6521960.29830226.14460.423216761.155514.987283.7520.38302423.47043634126508349733322181306213121353243557278473308464202569102742.946189.4380938125456124645.946489.236351271555.60.7994820.6521100.30122526.56730.421823758.564516.464280.7820.3832420323.426495183021328302726983328616399495262462304488406223238886OpenBenchmarking.org

LiteRT

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: DeepLab V3ba20K40K60K80K100KSE +/- 6031.32, N = 12102742.993820.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: SqueezeNetba20K40K60K80K100KSE +/- 759.10, N = 1546189.4105380.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception V4ba90K180K270K360K450KSE +/- 19162.36, N = 12380938422782

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: NASNet Mobileba400K800K1200K1600K2000KSE +/- 119244.97, N = 1212545611831650

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Floatba16K32K48K64K80K24645.975229.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Mobilenet Quantba10K20K30K40K50K46489.243601.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Inception ResNet V2ba200K400K600K800K1000K363512824335

OpenBenchmarking.orgMicroseconds, Fewer Is BetterLiteRT 2024-10-15Model: Quantized COCO SSD MobileNet v1ba15K30K45K60K75K71555.663357.4

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 1D - Engine: CPUba0.17990.35980.53970.71960.8995SE +/- 0.000618, N = 30.7994820.797341MIN: 0.76MIN: 0.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: IP Shapes 3D - Engine: CPUba0.14670.29340.44010.58680.7335SE +/- 0.003624, N = 30.6521100.652196MIN: 0.6MIN: 0.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Convolution Batch Shapes Auto - Engine: CPUba0.06780.13560.20340.27120.339SE +/- 0.001827, N = 30.3012250.298302MIN: 0.28MIN: 0.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_1d - Engine: CPUba612182430SE +/- 0.13, N = 326.5726.14MIN: 24.16MIN: 24.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Deconvolution Batch shapes_3d - Engine: CPUba0.09520.19040.28560.38080.476SE +/- 0.000942, N = 30.4218230.423216MIN: 0.4MIN: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Training - Engine: CPUba160320480640800SE +/- 0.94, N = 3758.56761.16MIN: 750.89MIN: 753.781. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.6Harness: Recurrent Neural Network Inference - Engine: CPUba110220330440550SE +/- 1.40, N = 3516.46514.99MIN: 510.39MIN: 510.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -fcf-protection=full -pie -ldl -lpthread

Epoch

OpenBenchmarking.orgSeconds, Fewer Is BetterEpoch 4.19.4Epoch3D Deck: Coneba60120180240300SE +/- 0.98, N = 3280.78283.751. (F9X) gfortran options: -O3 -std=f2003 -Jobj -lsdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

WarpX

OpenBenchmarking.orgSeconds, Fewer Is BetterWarpX 24.10Input: Uniform Plasmaba510152025SE +/- 0.19, N = 1520.3820.381. (CXX) g++ options: -O3 -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterWarpX 24.10Input: Plasma Accelerationba612182430SE +/- 0.13, N = 323.4323.471. (CXX) g++ options: -O3 -lm

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1ba30K60K90K120K150K302131265081. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2ba70K140K210K280K350K2830273497331. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Largeba70K140K210K280K350K2698333221811. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3Smallba70K140K210K280K350K2861633062131. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1ba30K60K90K120K150K994951213531. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2ba60K120K180K240K300K2624622435571. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Largeba70K140K210K280K350K3044882784731. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3Smallba90K180K270K360K450K4062233084641. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2ba50K100K150K200K250K2388862025691. (CXX) g++ options: -O3 -lrt -lm