Debian TR Oktober

AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB on Debian 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 2010103-PTS-DEBIANTR76
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
C/C++ Compiler Tests 4 Tests
CPU Massive 4 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 3 Tests
Molecular Dynamics 2 Tests
NVIDIA GPU Compute 2 Tests
Python Tests 2 Tests
Scientific Computing 5 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
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
Performance Per
Dollar
Date
Run
  Test
  Duration
1
October 10 2020
  1 Hour, 26 Minutes
2
October 10 2020
  1 Hour, 23 Minutes
3
October 10 2020
  1 Hour, 26 Minutes
Invert Hiding All Results Option
  1 Hour, 25 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):


Debian TR OktoberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS)AMD 17h32GBSamsung SSD 970 EVO 250GBAMD FirePro V4900 1GBRealtek ALC1220VA24312 x Intel I211 + Intel-AC 9260Debian 105.8.1-050801-generic (x86_64)GNOME Shell 3.30.2X Server 1.20.4 + Waylandmodesetting 1.20.43.3 Mesa 18.3.6 (LLVM 7.0.1)GCC 8.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bPython Details- Python 2.7.16 + Python 3.7.3Security 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 STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%101%103%104%FFTERNNoiseTimed MAFFT AlignmentHierarchical INTegrationKeyDBDolfynGROMACSMlpack BenchmarkTimed HMMer SearchCaffe

Debian TR Oktoberdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNArnnoise: keydb: gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression12318.11452449.952388561113.52711.01919.760372669.751.14475259150736184920369564353677055.5001651.0756.4912.572.7817.97549991.539896151113.27111.05519.340372525.351.13976572150576184530368567356311261.0800450.6856.7412.532.7618.01749546.353242672113.48610.80619.272376024.451.13675137150413184049368606358559518.0291750.5456.8612.532.80OpenBenchmarking.org

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 318.1117.9818.02
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 18.03 / Avg: 18.11 / Max: 18.29Min: 17.88 / Avg: 17.98 / Max: 18.14Min: 18.01 / Avg: 18.02 / Max: 18.03

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine12311K22K33K44K55KSE +/- 134.41, N = 3SE +/- 311.93, N = 3SE +/- 58.23, N = 352449.9549991.5449546.351. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1239K18K27K36K45KMin: 52189.42 / Avg: 52449.95 / Max: 52637.57Min: 49393.13 / Avg: 49991.54 / Max: 50443.49Min: 49443.18 / Avg: 49546.35 / Max: 49644.711. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3113.53113.27113.491. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 113.39 / Avg: 113.53 / Max: 113.62Min: 113.14 / Avg: 113.27 / Max: 113.42Min: 113.36 / Avg: 113.49 / Max: 113.611. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 311.0211.0610.811. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 11 / Avg: 11.02 / Max: 11.05Min: 10.91 / Avg: 11.06 / Max: 11.32Min: 10.73 / Avg: 10.81 / Max: 10.881. (CC) gcc options: -std=c99 -O3 -lm -lpthread

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025SE +/- 0.22, N = 7SE +/- 0.09, N = 3SE +/- 0.05, N = 319.7619.3419.271. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 19.15 / Avg: 19.76 / Max: 20.6Min: 19.2 / Avg: 19.34 / Max: 19.52Min: 19.2 / Avg: 19.27 / Max: 19.361. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612380K160K240K320K400KSE +/- 4305.97, N = 3SE +/- 1496.83, N = 3SE +/- 3062.22, N = 3372669.75372525.35376024.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612370K140K210K280K350KMin: 368117.46 / Avg: 372669.75 / Max: 381276.9Min: 370399.98 / Avg: 372525.35 / Max: 375413.86Min: 371074.88 / Avg: 376024.45 / Max: 381622.991. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.25740.51480.77221.02961.287SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.1441.1391.1361. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.14 / Avg: 1.14 / Max: 1.14Min: 1.13 / Avg: 1.14 / Max: 1.141. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012316K32K48K64K80KSE +/- 56.53, N = 3SE +/- 1307.38, N = 3SE +/- 92.87, N = 37525976572751371. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012313K26K39K52K65KMin: 75156 / Avg: 75258.67 / Max: 75351Min: 75245 / Avg: 76572.33 / Max: 79187Min: 74954 / Avg: 75137 / Max: 752561. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KSE +/- 29.72, N = 3SE +/- 139.87, N = 3SE +/- 72.46, N = 31507361505761504131. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KMin: 150703 / Avg: 150735.67 / Max: 150795Min: 150298 / Avg: 150576 / Max: 150742Min: 150287 / Avg: 150413.33 / Max: 1505381. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012340K80K120K160K200KSE +/- 207.88, N = 3SE +/- 358.97, N = 3SE +/- 157.65, N = 31849201845301840491. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KMin: 184630 / Avg: 184920 / Max: 185323Min: 183824 / Avg: 184529.67 / Max: 184997Min: 183749 / Avg: 184049 / Max: 1842831. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012380K160K240K320K400KSE +/- 813.78, N = 3SE +/- 340.57, N = 3SE +/- 238.88, N = 33695643685673686061. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012360K120K180K240K300KMin: 368072 / Avg: 369564.33 / Max: 370873Min: 368020 / Avg: 368567 / Max: 369192Min: 368135 / Avg: 368605.67 / Max: 3689121. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12380M160M240M320M400MSE +/- 2734020.92, N = 3SE +/- 2343683.03, N = 3SE +/- 1414288.07, N = 3353677055.50356311261.08358559518.031. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12360M120M180M240M300MMin: 348906450.34 / Avg: 353677055.5 / Max: 358376576.31Min: 352946072.57 / Avg: 356311261.08 / Max: 360819661.45Min: 355846586.93 / Avg: 358559518.03 / Max: 360609262.671. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 351.0750.6850.54
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231020304050Min: 50.76 / Avg: 51.07 / Max: 51.35Min: 50.5 / Avg: 50.68 / Max: 50.77Min: 50.39 / Avg: 50.54 / Max: 50.71

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231326395265SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 356.4956.7456.86
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231122334455Min: 56.26 / Avg: 56.49 / Max: 56.68Min: 56.57 / Avg: 56.74 / Max: 56.83Min: 56.46 / Avg: 56.86 / Max: 57.12

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.5712.5312.53
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620Min: 12.55 / Avg: 12.57 / Max: 12.6Min: 12.49 / Avg: 12.53 / Max: 12.57Min: 12.5 / Avg: 12.53 / Max: 12.57

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.631.261.892.523.15SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.782.762.80
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 2.76 / Avg: 2.78 / Max: 2.79Min: 2.74 / Avg: 2.76 / Max: 2.79Min: 2.79 / Avg: 2.8 / Max: 2.82