epyc-7f72-eo-september

AMD EPYC 7F72 24-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009304-FI-EPYC7F72E54&sor.

epyc-7f72-eo-september ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionEPYC 7F72EPYC 7F72 x23AMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads)ASRockRack EPYCD8 (P2.10 BIOS)AMD Starship/Matisse126GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDAMD Starship/Matisse2 x Intel I350Ubuntu 20.045.9.0-050900rc6daily20200921-generic (x86_64) 20200920GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41024x768OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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: acpi-cpufreq ondemand - CPU Microcode: 0x830101cPython Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

epyc-7f72-eo-september lczero: BLASlczero: Eigenlczero: Randdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2couchdb: 100 - 1000 - 24keydb: caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyhint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionEPYC 7F72EPYC 7F72 x232227207316467118.627121809.43318954142.4139.46537756888.4103.685420383.502256217816431118.637122399.72540484142.6119.55938374014.4103.859421676.2875293150373751617190013379880190254318.8719.429.218.809.328.4011.093.7419.6232.8313.049.1622.7830.20328822812.2251861.0439.4524.281.652213216516619818.540121264.37712651142.5959.64437972490.0104.448419756.0375164150269752070189355380086190048719.3819.939.268.819.338.4511.033.7719.7432.8513.059.4222.7130.14328868294.6880960.7739.3024.281.652228209616552818.646122021.48057904142.5389.57537884312.2104.647419091.1975300150626751645190069379324190083319.6220.429.288.889.348.4111.003.7319.6832.5213.009.2522.9230.27328901110.0086961.3939.6124.261.65OpenBenchmarking.org

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7F72 x3EPYC 7F7225001000150020002500SE +/- 24.04, N = 7SE +/- 9.53, N = 3SE +/- 11.27, N = 3SE +/- 28.46, N = 522562228222722131. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7F72 x23EPYC 7F725001000150020002500SE +/- 26.56, N = 3SE +/- 11.22, N = 3SE +/- 28.45, N = 9SE +/- 23.67, N = 921782165209620731. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random23EPYC 7F72EPYC 7F72 x40K80K120K160K200KSE +/- 1148.31, N = 3SE +/- 1873.00, N = 3SE +/- 1317.43, N = 3SE +/- 1500.11, N = 31661981655281646711643111. (CXX) g++ options: -flto -pthread

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics2EPYC 7F72EPYC 7F72 x3510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 318.5418.6318.6418.65

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7F72 x3EPYC 7F72230K60K90K120K150KSE +/- 285.55, N = 3SE +/- 254.91, N = 3SE +/- 630.92, N = 3SE +/- 807.96, N = 3122399.73122021.48121809.43121264.381. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F7232EPYC 7F72 x306090120150SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3142.41142.54142.60142.611. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F72EPYC 7F72 x323691215SE +/- 0.055, N = 3SE +/- 0.028, N = 3SE +/- 0.057, N = 3SE +/- 0.053, N = 39.4659.5599.5759.6441. (CC) gcc options: -std=c99 -O3 -lm -lpthread

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7F72 x23EPYC 7F728M16M24M32M40MSE +/- 421072.96, N = 3SE +/- 493714.96, N = 5SE +/- 550044.12, N = 3SE +/- 390690.78, N = 338374014.437972490.037884312.237756888.4

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7F72EPYC 7F72 x2320406080100SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.60, N = 3SE +/- 0.60, N = 3103.69103.86104.45104.651. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F72 xEPYC 7F722390K180K270K360K450KSE +/- 2108.70, N = 3SE +/- 250.94, N = 3SE +/- 1309.71, N = 3SE +/- 1744.78, N = 3421676.28420383.50419756.03419091.191. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1002EPYC 7F72 x316K32K48K64K80KSE +/- 171.98, N = 3SE +/- 23.86, N = 3SE +/- 215.05, N = 37516475293753001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 2002EPYC 7F72 x330K60K90K120K150KSE +/- 69.27, N = 3SE +/- 211.31, N = 3SE +/- 75.05, N = 31502691503731506261. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000EPYC 7F72 x32160K320K480K640K800KSE +/- 670.58, N = 3SE +/- 811.75, N = 3SE +/- 654.75, N = 37516177516457520701. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1002EPYC 7F72 x340K80K120K160K200KSE +/- 245.02, N = 3SE +/- 464.46, N = 3SE +/- 407.34, N = 31893551900131900691. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 2003EPYC 7F72 x280K160K240K320K400KSE +/- 266.02, N = 3SE +/- 429.90, N = 3SE +/- 518.16, N = 33793243798803800861. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100023EPYC 7F72 x400K800K1200K1600K2000KSE +/- 1530.16, N = 3SE +/- 909.25, N = 3SE +/- 2432.39, N = 31900487190083319025431. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7F72 x23510152025SE +/- 0.10, N = 3SE +/- 0.20, N = 7SE +/- 0.30, N = 318.8719.3819.62MIN: 18.36 / MAX: 20.85MIN: 18.46 / MAX: 118.13MIN: 18.65 / MAX: 21.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7F72 x23510152025SE +/- 0.01, N = 3SE +/- 0.28, N = 7SE +/- 0.68, N = 319.4219.9320.42MIN: 18.9 / MAX: 21.51MIN: 18.87 / MAX: 22.76MIN: 18.91 / MAX: 84.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F72 x233691215SE +/- 0.05, N = 3SE +/- 0.04, N = 7SE +/- 0.12, N = 39.219.269.28MIN: 8.89 / MAX: 10.51MIN: 8.75 / MAX: 11.07MIN: 8.89 / MAX: 10.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F72 x23246810SE +/- 0.03, N = 3SE +/- 0.04, N = 7SE +/- 0.07, N = 38.808.818.88MIN: 8.56 / MAX: 10.78MIN: 8.52 / MAX: 10.79MIN: 8.49 / MAX: 76.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC 7F72 x233691215SE +/- 0.02, N = 3SE +/- 0.06, N = 6SE +/- 0.06, N = 39.329.339.34MIN: 9.09 / MAX: 14.74MIN: 9.05 / MAX: 11.33MIN: 9.14 / MAX: 10.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7F72 x32246810SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 78.408.418.45MIN: 8.11 / MAX: 10.16MIN: 8.08 / MAX: 11.46MIN: 8.05 / MAX: 10.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b032EPYC 7F72 x3691215SE +/- 0.08, N = 3SE +/- 0.06, N = 7SE +/- 0.09, N = 311.0011.0311.09MIN: 10.66 / MAX: 13.36MIN: 10.67 / MAX: 16.51MIN: 10.74 / MAX: 13.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface3EPYC 7F72 x20.84831.69662.54493.39324.2415SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 73.733.743.77MIN: 3.58 / MAX: 4.65MIN: 3.46 / MAX: 4.73MIN: 3.58 / MAX: 61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7F72 x32510152025SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 719.6219.6819.74MIN: 19.13 / MAX: 22.12MIN: 19.15 / MAX: 21.9MIN: 19.14 / MAX: 25.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg163EPYC 7F72 x2816243240SE +/- 0.22, N = 3SE +/- 0.56, N = 3SE +/- 0.30, N = 732.5232.8332.85MIN: 31.78 / MAX: 34.87MIN: 31.34 / MAX: 36.46MIN: 31.1 / MAX: 98.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet183EPYC 7F72 x23691215SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 713.0013.0413.05MIN: 12.56 / MAX: 14.64MIN: 12.34 / MAX: 38.34MIN: 12.38 / MAX: 54.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F72 x323691215SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 69.169.259.42MIN: 8.54 / MAX: 10.41MIN: 8.56 / MAX: 12.4MIN: 8.51 / MAX: 10.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet502EPYC 7F72 x3510152025SE +/- 0.06, N = 7SE +/- 0.16, N = 3SE +/- 0.23, N = 322.7122.7822.92MIN: 22.12 / MAX: 25.08MIN: 22.17 / MAX: 85.73MIN: 22.33 / MAX: 105.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny2EPYC 7F72 x3714212835SE +/- 0.11, N = 7SE +/- 0.14, N = 3SE +/- 0.21, N = 330.1430.2030.27MIN: 29.27 / MAX: 65.59MIN: 29.67 / MAX: 32.8MIN: 29.38 / MAX: 33.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT32EPYC 7F72 x70M140M210M280M350MSE +/- 377618.26, N = 3SE +/- 40216.53, N = 3SE +/- 53237.74, N = 3328901110.01328868294.69328822812.231. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica2EPYC 7F72 x31428425670SE +/- 0.99, N = 3SE +/- 0.88, N = 3SE +/- 0.19, N = 360.7761.0461.39

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda2EPYC 7F72 x3918273645SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 339.3039.4539.61

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm3EPYC 7F72 x2612182430SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 324.2624.2824.28

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7F72 x230.37130.74261.11391.48521.8565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.651.651.65

Phoronix Test Suite v10.8.4