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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009304-FI-EPYC7F72E54
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 5 Tests
Database Test Suite 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 4 Tests
NVIDIA GPU Compute 3 Tests
Python Tests 2 Tests
Scientific Computing 4 Tests
Server 2 Tests
Single-Threaded 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
EPYC 7F72
September 28 2020
  1 Hour, 55 Minutes
EPYC 7F72 x
September 29 2020
  5 Hours, 52 Minutes
2
September 29 2020
  6 Hours, 51 Minutes
3
September 29 2020
  6 Hours, 4 Minutes
Invert Hiding All Results Option
  5 Hours, 10 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


epyc-7f72-eo-september - Phoronix Test Suite

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&grt&rdt.

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 couchdb: 100 - 1000 - 24byte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000dolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehint: FLOATkeydb: lczero: BLASlczero: Eigenlczero: Randmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionncnn: 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-tinyhmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAEPYC 7F72EPYC 7F72 x23103.68537756888.418.627121809.43318954420383.5022272073164671142.4139.465103.85938374014.475293150373751617190013379880190254318.637122399.72540484328822812.22518421676.282256217816431161.0439.4524.281.6518.8719.429.218.809.328.4011.093.7419.6232.8313.049.1622.7830.20142.6119.559104.44837972490.075164150269752070189355380086190048718.540121264.37712651328868294.68809419756.032213216516619860.7739.3024.281.6519.3819.939.268.819.338.4511.033.7719.7432.8513.059.4222.7130.14142.5959.644104.64737884312.275300150626751645190069379324190083318.646122021.48057904328901110.00869419091.192228209616552861.3939.6124.261.6519.6220.429.288.889.348.4111.003.7319.6832.5213.009.2522.9230.27142.5389.575OpenBenchmarking.org

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

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7F72EPYC 7F72 x238M16M24M32M40MSE +/- 390690.78, N = 3SE +/- 421072.96, N = 3SE +/- 493714.96, N = 5SE +/- 550044.12, N = 337756888.438374014.437972490.037884312.2

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7F72 x2316K32K48K64K80KSE +/- 23.86, N = 3SE +/- 171.98, N = 3SE +/- 215.05, N = 37529375164753001. (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: 200EPYC 7F72 x2330K60K90K120K150KSE +/- 211.31, N = 3SE +/- 69.27, N = 3SE +/- 75.05, N = 31503731502691506261. (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 x23160K320K480K640K800KSE +/- 670.58, N = 3SE +/- 654.75, N = 3SE +/- 811.75, N = 37516177520707516451. (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: 100EPYC 7F72 x2340K80K120K160K200KSE +/- 464.46, N = 3SE +/- 245.02, N = 3SE +/- 407.34, N = 31900131893551900691. (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: 200EPYC 7F72 x2380K160K240K320K400KSE +/- 429.90, N = 3SE +/- 518.16, N = 3SE +/- 266.02, N = 33798803800863793241. (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: 1000EPYC 7F72 x23400K800K1200K1600K2000KSE +/- 2432.39, N = 3SE +/- 1530.16, N = 3SE +/- 909.25, N = 31902543190048719008331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7F72EPYC 7F72 x23510152025SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 318.6318.6418.5418.65

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7F72EPYC 7F72 x2330K60K90K120K150KSE +/- 630.92, N = 3SE +/- 285.55, N = 3SE +/- 807.96, N = 3SE +/- 254.91, N = 3121809.43122399.73121264.38122021.481. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F72 x2370M140M210M280M350MSE +/- 53237.74, N = 3SE +/- 40216.53, N = 3SE +/- 377618.26, N = 3328822812.23328868294.69328901110.011. (CC) gcc options: -O3 -march=native -lm

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F72EPYC 7F72 x2390K180K270K360K450KSE +/- 250.94, N = 3SE +/- 2108.70, N = 3SE +/- 1309.71, N = 3SE +/- 1744.78, N = 3420383.50421676.28419756.03419091.191. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7F72EPYC 7F72 x235001000150020002500SE +/- 11.27, N = 3SE +/- 24.04, N = 7SE +/- 28.46, N = 5SE +/- 9.53, N = 322272256221322281. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7F72EPYC 7F72 x235001000150020002500SE +/- 23.67, N = 9SE +/- 26.56, N = 3SE +/- 11.22, N = 3SE +/- 28.45, N = 920732178216520961. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomEPYC 7F72EPYC 7F72 x2340K80K120K160K200KSE +/- 1317.43, N = 3SE +/- 1500.11, N = 3SE +/- 1148.31, N = 3SE +/- 1873.00, N = 31646711643111661981655281. (CXX) g++ options: -flto -pthread

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7F72 x231428425670SE +/- 0.88, N = 3SE +/- 0.99, N = 3SE +/- 0.19, N = 361.0460.7761.39

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7F72 x23918273645SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 339.4539.3039.61

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F72 x23612182430SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 324.2824.2824.26

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

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 x23246810SE +/- 0.01, N = 3SE +/- 0.03, N = 7SE +/- 0.06, N = 38.408.458.41MIN: 8.11 / MAX: 10.16MIN: 8.05 / MAX: 10.2MIN: 8.08 / MAX: 11.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7F72 x233691215SE +/- 0.09, N = 3SE +/- 0.06, N = 7SE +/- 0.08, N = 311.0911.0311.00MIN: 10.74 / MAX: 13.3MIN: 10.67 / MAX: 16.51MIN: 10.66 / MAX: 13.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7F72 x230.84831.69662.54493.39324.2415SE +/- 0.03, N = 3SE +/- 0.01, N = 7SE +/- 0.03, N = 33.743.773.73MIN: 3.46 / MAX: 4.73MIN: 3.58 / MAX: 6MIN: 3.58 / MAX: 4.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7F72 x23510152025SE +/- 0.14, N = 3SE +/- 0.09, N = 7SE +/- 0.17, N = 319.6219.7419.68MIN: 19.13 / MAX: 22.12MIN: 19.14 / MAX: 25.15MIN: 19.15 / MAX: 21.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7F72 x23816243240SE +/- 0.56, N = 3SE +/- 0.30, N = 7SE +/- 0.22, N = 332.8332.8532.52MIN: 31.34 / MAX: 36.46MIN: 31.1 / MAX: 98.34MIN: 31.78 / MAX: 34.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7F72 x233691215SE +/- 0.27, N = 3SE +/- 0.13, N = 7SE +/- 0.13, N = 313.0413.0513.00MIN: 12.34 / MAX: 38.34MIN: 12.38 / MAX: 54.07MIN: 12.56 / MAX: 14.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F72 x233691215SE +/- 0.26, N = 3SE +/- 0.19, N = 6SE +/- 0.23, N = 39.169.429.25MIN: 8.54 / MAX: 10.41MIN: 8.51 / MAX: 10.8MIN: 8.56 / MAX: 12.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC 7F72 x23510152025SE +/- 0.16, N = 3SE +/- 0.06, N = 7SE +/- 0.23, N = 322.7822.7122.92MIN: 22.17 / MAX: 85.73MIN: 22.12 / MAX: 25.08MIN: 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-tinyEPYC 7F72 x23714212835SE +/- 0.14, N = 3SE +/- 0.11, N = 7SE +/- 0.21, N = 330.2030.1430.27MIN: 29.67 / MAX: 32.8MIN: 29.27 / MAX: 65.59MIN: 29.38 / MAX: 33.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F72EPYC 7F72 x23306090120150SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3142.41142.61142.60142.541. (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 x233691215SE +/- 0.055, N = 3SE +/- 0.028, N = 3SE +/- 0.053, N = 3SE +/- 0.057, N = 39.4659.5599.6449.5751. (CC) gcc options: -std=c99 -O3 -lm -lpthread


Phoronix Test Suite v10.8.4