aaaltra

Ampere Altra ARMv8 Neoverse-N1 testing with a WIWYNN Mt.Jade (1.1.20201019 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 2102223-HA-AAA99619931
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Result
Identifier
Performance Per
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Date
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  Test
  Duration
Altra Q80-33 2P
February 20 2021
  15 Hours, 50 Minutes
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Altra Q80-33 2P

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.04, Kernel: 5.11.0-051100-generic-64k (aarch64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

aaaltraOpenBenchmarking.orgPhoronix Test SuiteAmpere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores)WIWYNN Mt.Jade (1.1.20201019 BIOS)Ampere Computing LLC Device e10016 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007ASPEEDVE228Mellanox MT28908 + Intel I210Ubuntu 20.045.11.0-051100-generic-64k (aarch64)GNOME Shell 3.36.4X Server 1.20.9GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionAaaltra BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - NONE / relatime,rw / Block Size: 4096- Scaling Governor: cppc_cpufreq performance (Boost: Enabled)- OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- Python 3.8.5- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

aaaltracompress-7zip: Compress Speed Testmt-dgemm: Sustained Floating-Point Rateaircrack-ng: amg: aobench: 2048 x 2048 - Total Timecouchdb: 100 - 1000 - 24askap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Thoroughastcenc: Exhaustivebasis: UASTC Level 2basis: UASTC Level 3botan: AES-256botan: Blowfishbotan: CAST-256botan: KASUMIbotan: Twofishbuild2: Time To Compilec-ray: Total Time - 4K, 16 Rays Per Pixelcoremark: CoreMark Size 666 - Iterations Per Secondcryptopp: Unkeyed Algorithmscryptopp: Keyed Algorithmscryptopp: Integer + Elliptic Curve Public Key Algorithmsdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pdav1d: Chimera 1080p 10-bitebizzy: espeak: Text-To-Speech Synthesisetcpak: ETC1 + Ditheringetcpak: ETC2etcpak: DXT1rocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingffte: N=256, 3D Complex FFT Routinegcrypt: synthmark: VoiceMark_100gpaw: Carbon Nanotubegromacs: Water Benchmarkhint: FLOAThpcg: hugin: Panorama Photo Assistant + Stitching Timeincompact3d: Cylinderjohn-the-ripper: MD5john-the-ripper: Blowfishkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastlammps: Rhodopsin Proteinlammps: 20k Atomslczero: BLASlczero: Eigenlibraw: Post-Processing Benchmarklulesh: compress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedm-queens: Time To Solveminife: Smallmocassin: Dust 2D tau100.0n-queens: Elapsed Timenpb: EP.Cnpb: LU.Cneat: ngspice: C2670ngspice: C7552numenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumpy: nwchem: C240 Buckyballocrmypdf: Processing 60 Page PDF Documentopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mparboil: OpenMP CUTCPparboil: OpenMP Stencilparboil: OpenMP LBMpennant: leblancbigpennant: sedovbigperl-benchmark: Pod2htmlperl-benchmark: Interpreterphpbench: PHP Benchmark Suitepgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypybench: Total For Average Test Timespyperformance: crypto_pyaespyperformance: django_templatepyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: python_startuppyperformance: regex_compilequantlib: rawtherapee: Total Benchmark Timeredis: SETredis: GETredis: LPUSHredis: SADDrodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Streamclustersimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDstockfish: Total Timestream: Copystream: Scalestream: Addstream: Triadstress-ng: CPU Stressstress-ng: Cryptostress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Context Switchingsysbench: CPUsysbench: Memorybuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-llvm: Time To Compilebuild-php: Time To Compiletinymembench: Standard Memsettoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadstscp: AI Chess Performancettsiod-renderer: Phong Rendering With Soft-Shadow Mappingwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7x264: H.264 Video Encodingx265: Bosphorus 4Kcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9compress-zstd: 3compress-zstd: 19Altra Q80-33 2P955983.145285188211.14145598753334.414125.05912947.48199.907.6828.0325.90025.2522922.259311.677124.68671.367265.65374.8714.8373642259.260912452.292061410.2953931675.877796465.19172.42348.77268.98160690439.36686.31958.764870.14772754924027689518232655682.922381003302.465614.58447.8297.471345618919.4701346.0034106.445601.20239334126671295185.9615.1733.5741.11845.4641584154022.1435213.75552.309368.349.839424.26.29714708.71061.3707216.7455420.8538.340243.323215.02249.1848.05816.145127.525273.382507.820.03917.15102.562.64713110.31911732.71932824.3556434.176400.135040550.00209863531320132717.618653371.603889728.6511011354.205129311650.413013920.913.31522192.890.4821355366.281775142.631082057.061597561.533.10426.06652.7761.990.641.572.0383260347155792.9144335.3133771.7123487.923475.4237545.521157543.44840311.4914621.9910937807.06575274.53641470144.743633.94417.00571.95321.767242.80252.18543044.1114854853482140461145068535.569160.321284.855154.7410.7125.6564492.449.7OpenBenchmarking.org

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestAltra Q80-33 2P20K40K60K80K100KSE +/- 2741.67, N = 15955981. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed TestAltra Q80-33 2P90180270360450402.44
OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption MonitorAltra Q80-33 2P80160240320400Min: 94.17 / Avg: 237.64 / Max: 423.51. Altra Q80-33 2P: Approximate power consumption of 25966 Joules per run.

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAltra Q80-33 2P0.70771.41542.12312.83083.5385SE +/- 0.056860, N = 153.1452851. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAltra Q80-33 2P0.00230.00460.00690.00920.01150.01
MinAvgMaxAltra Q80-33 2P96.8276.8320.8OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 21574 Joules per run.

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Altra Q80-33 2P40K80K120K160K200KSE +/- 26.63, N = 3188211.141. (CXX) g++ options: -O3 -fvisibility=hidden -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2Altra Q80-33 2P110220330440550525.99
MinAvgMaxAltra Q80-33 2P94.5357.8404.8OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.5.2CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 12166 Joules per run.

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Altra Q80-33 2P100M200M300M400M500MSE +/- 4547413.97, N = 34559875331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Altra Q80-33 2P300K600K900K1200K1500K1210703.55
MinAvgMaxAltra Q80-33 2P94.8376.6444.2OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor1202403604806001. Altra Q80-33 2P: Approximate power consumption of 71936 Joules per run.

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeAltra Q80-33 2P816243240SE +/- 0.02, N = 334.411. (CC) gcc options: -lm -O3
MinAvgMaxAltra Q80-33 2P89.2128.3138.2OpenBenchmarking.orgWatts, Fewer Is BetterAOBenchCPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 4919 Joules per run.

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Altra Q80-33 2P306090120150SE +/- 1.33, N = 5125.06
MinAvgMaxAltra Q80-33 2P92.8145.9162.5OpenBenchmarking.orgWatts, Fewer Is BetterApache CouchDB 3.1.1CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 18822 Joules per run.

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingAltra Q80-33 2P3K6K9K12K15KSE +/- 38.48, N = 312947.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAltra Q80-33 2P2K4K6K8K10KSE +/- 12.83, N = 38199.901. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAltra Q80-33 2P61218243023.45
MinAvgMaxAltra Q80-33 2P95.8349.7499.2OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 41727 Joules per run.

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughAltra Q80-33 2P246810SE +/- 0.63, N = 157.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -lpthread
MinAvgMaxAltra Q80-33 2P94.8204.4423.5OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 2861 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveAltra Q80-33 2P714212835SE +/- 0.19, N = 328.031. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -lpthread
MinAvgMaxAltra Q80-33 2P93.8338.9435.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 12653 Joules per run.

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Altra Q80-33 2P612182430SE +/- 0.39, N = 1225.901. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
MinAvgMaxAltra Q80-33 2P93.5202.3267.5OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.12CPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 6054 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Altra Q80-33 2P612182430SE +/- 0.57, N = 1225.251. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
MinAvgMaxAltra Q80-33 2P96.8208.9302.5OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.12CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 6128 Joules per run.

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256Altra Q80-33 2P6001200180024003000SE +/- 5.53, N = 32922.261. (CXX) g++ options: -fstack-protector -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: AES-256Altra Q80-33 2P51015202522.64
MinAvgMaxAltra Q80-33 2P90.8129.1142.5OpenBenchmarking.orgWatts, Fewer Is BetterBotan 2.13.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 3484 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishAltra Q80-33 2P70140210280350SE +/- 0.05, N = 3311.681. (CXX) g++ options: -fstack-protector -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: BlowfishAltra Q80-33 2P0.54681.09361.64042.18722.7342.43
MinAvgMaxAltra Q80-33 2P92.5128.1141.5OpenBenchmarking.orgWatts, Fewer Is BetterBotan 2.13.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 3118 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Altra Q80-33 2P306090120150SE +/- 0.04, N = 3124.691. (CXX) g++ options: -fstack-protector -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: CAST-256Altra Q80-33 2P0.22050.4410.66150.8821.10250.98
MinAvgMaxAltra Q80-33 2P92.8127.2140.5OpenBenchmarking.orgWatts, Fewer Is BetterBotan 2.13.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 3095 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIAltra Q80-33 2P1632486480SE +/- 0.02, N = 371.371. (CXX) g++ options: -fstack-protector -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: KASUMIAltra Q80-33 2P0.1260.2520.3780.5040.630.56
MinAvgMaxAltra Q80-33 2P92.8127.6140.5OpenBenchmarking.orgWatts, Fewer Is BetterBotan 2.13.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 3062 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishAltra Q80-33 2P60120180240300SE +/- 0.09, N = 3265.651. (CXX) g++ options: -fstack-protector -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: TwofishAltra Q80-33 2P0.46580.93161.39741.86322.3292.07
MinAvgMaxAltra Q80-33 2P93.8128.4141.2OpenBenchmarking.orgWatts, Fewer Is BetterBotan 2.13.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 3124 Joules per run.

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileAltra Q80-33 2P20406080100SE +/- 1.89, N = 1574.87
MinAvgMaxAltra Q80-33 2P94.5177.3412.8OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 13967 Joules per run.

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelAltra Q80-33 2P1.08832.17663.26494.35325.4415SE +/- 0.014, N = 74.8371. (CC) gcc options: -lm -lpthread -O3
MinAvgMaxAltra Q80-33 2P90.5254.5404.2OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 2363 Joules per run.

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAltra Q80-33 2P800K1600K2400K3200K4000KSE +/- 67650.51, N = 123642259.261. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAltra Q80-33 2P3K6K9K12K15K13750.75
MinAvgMaxAltra Q80-33 2P96.8264.9368.8OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 6887 Joules per run.

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsAltra Q80-33 2P100200300400500SE +/- 0.52, N = 3452.291. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsAltra Q80-33 2P0.7651.532.2953.063.8253.40
MinAvgMaxAltra Q80-33 2P93.2133.1142.2OpenBenchmarking.orgWatts, Fewer Is BetterCrypto++ 8.2CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 9409 Joules per run.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsAltra Q80-33 2P90180270360450SE +/- 0.07, N = 3410.301. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsAltra Q80-33 2P0.68181.36362.04542.72723.4093.03
MinAvgMaxAltra Q80-33 2P95.2135.6145.2OpenBenchmarking.orgWatts, Fewer Is BetterCrypto++ 8.2CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 51491 Joules per run.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsAltra Q80-33 2P400800120016002000SE +/- 0.46, N = 31675.881. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsAltra Q80-33 2P369121512.42
MinAvgMaxAltra Q80-33 2P90.2134.9142.5OpenBenchmarking.orgWatts, Fewer Is BetterCrypto++ 8.2CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 35118 Joules per run.

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pAltra Q80-33 2P100200300400500SE +/- 26.31, N = 12465.19MIN: 229.24 / MAX: 719.841. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pAltra Q80-33 2P0.72231.44462.16692.88923.61153.21
MinAvgMaxAltra Q80-33 2P94.5145.0204.8OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 5087 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KAltra Q80-33 2P4080120160200SE +/- 12.04, N = 12172.42MIN: 77.53 / MAX: 3131. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KAltra Q80-33 2P0.23630.47260.70890.94521.18151.05
MinAvgMaxAltra Q80-33 2P94.8163.5258.5OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 7195 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pAltra Q80-33 2P80160240320400SE +/- 12.67, N = 12348.77MIN: 261.76 / MAX: 633.041. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pAltra Q80-33 2P0.54681.09361.64042.18722.7342.43
OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption MonitorAltra Q80-33 2P4080120160200Min: 93.17 / Avg: 143.52 / Max: 201.171. Altra Q80-33 2P: Approximate power consumption of 68676 Joules per run.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitAltra Q80-33 2P60120180240300SE +/- 35.28, N = 4268.98MIN: 186.71 / MAX: 539.31. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitAltra Q80-33 2P0.42530.85061.27591.70122.12651.89
OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption MonitorAltra Q80-33 2P306090120150Min: 92.17 / Avg: 142.67 / Max: 189.171. Altra Q80-33 2P: Approximate power consumption of 71941 Joules per run.

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3Altra Q80-33 2P300K600K900K1200K1500KSE +/- 23025.01, N = 1516069041. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3Altra Q80-33 2P80016002400320040003833.83
MinAvgMaxAltra Q80-33 2P97.5419.1512.2OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 10031 Joules per run.

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisAltra Q80-33 2P918273645SE +/- 0.12, N = 439.371. (CC) gcc options: -O2 -std=c99
MinAvgMaxAltra Q80-33 2P93.8134.9150.5OpenBenchmarking.orgWatts, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 5870 Joules per run.

Etcpak

Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringAltra Q80-33 2P20406080100SE +/- 0.73, N = 386.321. (CXX) g++ options: -O3 -mcpu=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringAltra Q80-33 2P0.1440.2880.4320.5760.720.64
MinAvgMaxAltra Q80-33 2P93.5135.6144.5OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 8134 Joules per run.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2Altra Q80-33 2P1326395265SE +/- 0.16, N = 358.761. (CXX) g++ options: -O3 -mcpu=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2Altra Q80-33 2P0.09680.19360.29040.38720.4840.43
MinAvgMaxAltra Q80-33 2P95.2136.0144.2OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 11694 Joules per run.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1Altra Q80-33 2P2004006008001000SE +/- 1.41, N = 7870.151. (CXX) g++ options: -O3 -mcpu=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: DXT1Altra Q80-33 2P2468107.16
MinAvgMaxAltra Q80-33 2P93.5121.5144.8OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 1197 Joules per run.

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncAltra Q80-33 2P16K32K48K64K80KSE +/- 964.73, N = 3727541. (CXX) g++ options: -O3 -march=native -std=c++11 -march=armv8-a+crc -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncAltra Q80-33 2P100200300400500464.64
MinAvgMaxAltra Q80-33 2P92.2156.6196.8OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.3.6CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 10230 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadAltra Q80-33 2P200M400M600M800M1000MSE +/- 8933535.42, N = 139240276891. (CXX) g++ options: -O3 -march=native -std=c++11 -march=armv8-a+crc -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadAltra Q80-33 2P400K800K1200K1600K2000K2013390.51
MinAvgMaxAltra Q80-33 2P94.8458.9500.2OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.3.6CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 29408 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingAltra Q80-33 2P1.1M2.2M3.3M4.4M5.5MSE +/- 178908.42, N = 1551823261. (CXX) g++ options: -O3 -march=native -std=c++11 -march=armv8-a+crc -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingAltra Q80-33 2P4K8K12K16K20K20901.91
MinAvgMaxAltra Q80-33 2P95.8247.9366.5OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.3.6CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 15851 Joules per run.

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 RoutineAltra Q80-33 2P12K24K36K48K60KSE +/- 2635.71, N = 1555682.921. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineAltra Q80-33 2P80160240320400348.68
MinAvgMaxAltra Q80-33 2P96.2160.0355.8OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 1141 Joules per run.

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9Altra Q80-33 2P70140210280350SE +/- 0.72, N = 3302.471. (CC) gcc options: -O2 -fvisibility=hidden
MinAvgMaxAltra Q80-33 2P94.2134.9142.5OpenBenchmarking.orgWatts, Fewer Is BetterGcrypt Library 1.9CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 41335 Joules per run.

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Altra Q80-33 2P130260390520650SE +/- 0.05, N = 3614.581. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Altra Q80-33 2P1.04182.08363.12544.16725.2094.63
MinAvgMaxAltra Q80-33 2P93.8132.8144.8OpenBenchmarking.orgWatts, Fewer Is BetterGoogle SynthMark 20201109CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 4515 Joules per run.

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeAltra Q80-33 2P1122334455SE +/- 0.11, N = 347.831. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxAltra Q80-33 2P95.5425.5615.8OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 20.1CPU Power Consumption Monitor1603204806408001. Altra Q80-33 2P: Approximate power consumption of 22695 Joules per run.

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 BenchmarkAltra Q80-33 2P246810SE +/- 0.013, N = 37.4711. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkAltra Q80-33 2P0.00450.0090.01350.0180.02250.02
MinAvgMaxAltra Q80-33 2P94.8364.2521.8OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2020.3CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 15052 Joules per run.

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: FLOATAltra Q80-33 2P70M140M210M280M350MSE +/- 142427.49, N = 3345618919.471. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATAltra Q80-33 2P500K1000K1500K2000K2500K2529474.11
MinAvgMaxAltra Q80-33 2P97.5136.6144.2OpenBenchmarking.orgWatts, Fewer Is BetterHierarchical INTegration 1.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 44726 Joules per run.

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Altra Q80-33 2P1020304050SE +/- 0.00, N = 346.001. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1Altra Q80-33 2P0.02480.04960.07440.09920.1240.11
MinAvgMaxAltra Q80-33 2P92.5437.3481.5OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1202403604806001. Altra Q80-33 2P: Approximate power consumption of 111650 Joules per run.

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeAltra Q80-33 2P20406080100SE +/- 1.16, N = 3106.45
MinAvgMaxAltra Q80-33 2P93.8187.4270.5OpenBenchmarking.orgWatts, Fewer Is BetterHuginCPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 20744 Joules per run.

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderAltra Q80-33 2P130260390520650601.201. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
MinAvgMaxAltra Q80-33 2P93.2362.7451.2OpenBenchmarking.orgWatts, Fewer Is BetterIncompact3D 2020-09-17CPU Power Consumption Monitor120240360480600

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Altra Q80-33 2P700K1400K2100K2800K3500KSE +/- 19376.39, N = 334126671. (CC) gcc options: -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Altra Q80-33 2P2K4K6K8K10K10914.93
MinAvgMaxAltra Q80-33 2P91.2312.7414.8OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 20114 Joules per run.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishAltra Q80-33 2P30K60K90K120K150KSE +/- 1159.47, N = 31295181. (CC) gcc options: -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishAltra Q80-33 2P90180270360450420.26
MinAvgMaxAltra Q80-33 2P96.2308.2383.2OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 10581 Joules per run.

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumAltra Q80-33 2P1.3412.6824.0235.3646.705SE +/- 0.01, N = 35.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumAltra Q80-33 2P0.00450.0090.01350.0180.02250.02
MinAvgMaxAltra Q80-33 2P95.5258.4340.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 27049 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastAltra Q80-33 2P48121620SE +/- 0.05, N = 315.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastAltra Q80-33 2P0.01350.0270.04050.0540.06750.06
MinAvgMaxAltra Q80-33 2P97.2243.1329.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 10617 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastAltra Q80-33 2P816243240SE +/- 0.07, N = 333.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastAltra Q80-33 2P0.03150.0630.09450.1260.15750.14
MinAvgMaxAltra Q80-33 2P97.5231.9307.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 5101 Joules per run.

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinAltra Q80-33 2P918273645SE +/- 0.04, N = 1241.121. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinAltra Q80-33 2P0.0630.1260.1890.2520.3150.28
MinAvgMaxAltra Q80-33 2P96.8144.6422.8OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 807 Joules per run.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAltra Q80-33 2P1020304050SE +/- 0.14, N = 345.461. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAltra Q80-33 2P0.02250.0450.06750.090.11250.10
MinAvgMaxAltra Q80-33 2P94.8436.6510.2OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 84842 Joules per run.

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASAltra Q80-33 2P30060090012001500SE +/- 50.19, N = 615841. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASAltra Q80-33 2P2468106.42
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorAltra Q80-33 2P80160240320400Min: 98.5 / Avg: 246.67 / Max: 437.831. Altra Q80-33 2P: Approximate power consumption of 91390 Joules per run.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenAltra Q80-33 2P30060090012001500SE +/- 37.80, N = 915401. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenAltra Q80-33 2P2468106.36
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorAltra Q80-33 2P80160240320400Min: 95.5 / Avg: 242.3 / Max: 435.831. Altra Q80-33 2P: Approximate power consumption of 90406 Joules per run.

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkAltra Q80-33 2P510152025SE +/- 0.15, N = 322.141. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkAltra Q80-33 2P0.03380.06760.10140.13520.1690.15
MinAvgMaxAltra Q80-33 2P97.5145.2173.8OpenBenchmarking.orgWatts, Fewer Is BetterLibRaw 0.20CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 8617 Joules per run.

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Altra Q80-33 2P8K16K24K32K40KSE +/- 111.50, N = 335213.761. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3Altra Q80-33 2P306090120150120.23
MinAvgMaxAltra Q80-33 2P93.5292.9410.8OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 7908 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedAltra Q80-33 2P1224364860SE +/- 0.04, N = 352.301. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAltra Q80-33 2P2K4K6K8K10KSE +/- 4.80, N = 39368.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAltra Q80-33 2P153045607567.28
MinAvgMaxAltra Q80-33 2P95.2139.2152.2OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 9236 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedAltra Q80-33 2P1122334455SE +/- 0.02, N = 349.831. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAltra Q80-33 2P2K4K6K8K10KSE +/- 31.94, N = 39424.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAltra Q80-33 2P153045607568.92
MinAvgMaxAltra Q80-33 2P96.5136.7148.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 9298 Joules per run.

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveAltra Q80-33 2P246810SE +/- 0.027, N = 76.2971. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxAltra Q80-33 2P94.2252.0381.2OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 2592 Joules per run.

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAltra Q80-33 2P3K6K9K12K15KSE +/- 899.09, N = 1514708.71. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallAltra Q80-33 2P163248648069.81
MinAvgMaxAltra Q80-33 2P98.2210.7437.2OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 6377 Joules per run.

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Altra Q80-33 2P20406080100SE +/- 0.67, N = 31061. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
MinAvgMaxAltra Q80-33 2P97.5414.8471.5OpenBenchmarking.orgWatts, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Power Consumption Monitor1202403604806001. Altra Q80-33 2P: Approximate power consumption of 45770 Joules per run.

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeAltra Q80-33 2P0.30830.61660.92491.23321.5415SE +/- 0.033, N = 151.3701. (CC) gcc options: -static -fopenmp -O3 -march=native
MinAvgMaxAltra Q80-33 2P94.5165.1359.8OpenBenchmarking.orgWatts, Fewer Is BetterN-Queens 1.0CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 881 Joules per run.

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAltra Q80-33 2P15003000450060007500SE +/- 34.72, N = 117216.741. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAltra Q80-33 2P102030405045.83
MinAvgMaxAltra Q80-33 2P95.5157.5381.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 945 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAltra Q80-33 2P12K24K36K48K60KSE +/- 50.22, N = 355420.851. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAltra Q80-33 2P306090120150130.41
MinAvgMaxAltra Q80-33 2P93.2425.0505.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 17849 Joules per run.

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Altra Q80-33 2P918273645SE +/- 1.05, N = 1538.341. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
MinAvgMaxAltra Q80-33 2P92.8148.3218.8OpenBenchmarking.orgWatts, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 6268 Joules per run.

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Altra Q80-33 2P50100150200250SE +/- 2.41, N = 3243.321. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
MinAvgMaxAltra Q80-33 2P94.5142.8151.2OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 35462 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Altra Q80-33 2P50100150200250SE +/- 0.74, N = 3215.021. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
MinAvgMaxAltra Q80-33 2P95.5141.0151.2OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 31623 Joules per run.

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointAltra Q80-33 2P1122334455SE +/- 0.77, N = 1549.18
MinAvgMaxAltra Q80-33 2P94.5159.6300.8OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 8481 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianAltra Q80-33 2P246810SE +/- 0.055, N = 138.058
MinAvgMaxAltra Q80-33 2P94.5154.4297.8OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 1864 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyAltra Q80-33 2P48121620SE +/- 0.20, N = 1516.15
MinAvgMaxAltra Q80-33 2P94.2151.6307.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 3052 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineAltra Q80-33 2P306090120150SE +/- 1.49, N = 12127.53
OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption MonitorAltra Q80-33 2P70140210280350Min: 94.5 / Avg: 222.46 / Max: 410.51. Altra Q80-33 2P: Approximate power consumption of 29235 Joules per run.

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAltra Q80-33 2P60120180240300SE +/- 1.34, N = 3273.38
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkAltra Q80-33 2P0.450.91.351.82.252.00
MinAvgMaxAltra Q80-33 2P92.5136.7149.8OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 41205 Joules per run.

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballAltra Q80-33 2P50010001500200025002507.81. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorAltra Q80-33 2P90180270360450Min: 94.17 / Avg: 467.44 / Max: 521.17

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentAltra Q80-33 2P510152025SE +/- 0.20, N = 320.04
MinAvgMaxAltra Q80-33 2P97.8164.3305.5OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 3997 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MAltra Q80-33 2P48121620SE +/- 0.15, N = 1517.151. (CXX) g++ options: -std=c++11 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxAltra Q80-33 2P91.8287.7539.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1402804205607001. Altra Q80-33 2P: Approximate power consumption of 9935 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MAltra Q80-33 2P20406080100SE +/- 0.20, N = 3102.561. (CXX) g++ options: -std=c++11 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxAltra Q80-33 2P94.2288.5551.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1402804205607001. Altra Q80-33 2P: Approximate power consumption of 56159 Joules per run.

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPAltra Q80-33 2P0.59561.19121.78682.38242.978SE +/- 0.048890, N = 152.6471311. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
MinAvgMaxAltra Q80-33 2P94.2149.3263.8OpenBenchmarking.orgWatts, Fewer Is BetterParboil 2.5CPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 1006 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP StencilAltra Q80-33 2P3691215SE +/- 0.15, N = 1510.321. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
MinAvgMaxAltra Q80-33 2P94.8182.3302.2OpenBenchmarking.orgWatts, Fewer Is BetterParboil 2.5CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 2892 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMAltra Q80-33 2P816243240SE +/- 0.64, N = 1532.721. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
MinAvgMaxAltra Q80-33 2P93.8236.6377.2OpenBenchmarking.orgWatts, Fewer Is BetterParboil 2.5CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 9164 Joules per run.

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAltra Q80-33 2P612182430SE +/- 0.12, N = 324.361. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
MinAvgMaxAltra Q80-33 2P96.2330.5418.2OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 9695 Joules per run.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAltra Q80-33 2P816243240SE +/- 0.02, N = 334.181. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
MinAvgMaxAltra Q80-33 2P94.2347.9419.2OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 13567 Joules per run.

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlAltra Q80-33 2P0.03040.06080.09120.12160.152SE +/- 0.00020178, N = 30.13504055
MinAvgMaxAltra Q80-33 2P91.8132.9144.2OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 9789 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterAltra Q80-33 2P0.00050.0010.00150.0020.0025SE +/- 0.00010881, N = 120.00209863
MinAvgMaxAltra Q80-33 2P91.5140.8163.2OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 11185 Joules per run.

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAltra Q80-33 2P110K220K330K440K550KSE +/- 6430.54, N = 3531320
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAltra Q80-33 2P90018002700360045004070.84
MinAvgMaxAltra Q80-33 2P91.2130.5140.5OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 5438 Joules per run.

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteAltra Q80-33 2P3K6K9K12K15KSE +/- 378.29, N = 12132711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyAltra Q80-33 2P246810SE +/- 0.226, N = 127.6181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxAltra Q80-33 2P92.5143.2225.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 5524 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyAltra Q80-33 2P14K28K42K56K70KSE +/- 2424.31, N = 12653371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyAltra Q80-33 2P0.36070.72141.08211.44281.8035SE +/- 0.054, N = 121.6031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxAltra Q80-33 2P91.5147.6208.5OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 5695 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteAltra Q80-33 2P2K4K6K8K10KSE +/- 297.99, N = 1588971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyAltra Q80-33 2P714212835SE +/- 0.95, N = 1528.651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxAltra Q80-33 2P91.8150.1240.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 5814 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyAltra Q80-33 2P20K40K60K80K100KSE +/- 8018.60, N = 121011351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyAltra Q80-33 2P0.94611.89222.83833.78444.7305SE +/- 0.190, N = 124.2051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxAltra Q80-33 2P90.8149.2233.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 5755 Joules per run.

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesAltra Q80-33 2P30060090012001500SE +/- 3.71, N = 31293
MinAvgMaxAltra Q80-33 2P90.8128.4142.2OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 4367 Joules per run.

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesAltra Q80-33 2P306090120150116
MinAvgMaxAltra Q80-33 2P93.5129.6141.8OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateAltra Q80-33 2P1122334455SE +/- 0.03, N = 350.4
MinAvgMaxAltra Q80-33 2P93.8129.9141.8OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 4113 Joules per run.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatAltra Q80-33 2P306090120150130
MinAvgMaxAltra Q80-33 2P91.8130.4145.2OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyAltra Q80-33 2P306090120150139
MinAvgMaxAltra Q80-33 2P93.5129.2142.2OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibAltra Q80-33 2P510152025SE +/- 0.03, N = 320.9
MinAvgMaxAltra Q80-33 2P93.5130.8143.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 5321 Joules per run.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupAltra Q80-33 2P3691215SE +/- 0.12, N = 313.3
MinAvgMaxAltra Q80-33 2P91.2135.6152.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 9219 Joules per run.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileAltra Q80-33 2P306090120150152
MinAvgMaxAltra Q80-33 2P92.8130.2139.2OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor4080120160200

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Altra Q80-33 2P5001000150020002500SE +/- 16.98, N = 152192.81. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21Altra Q80-33 2P4812162016.43
MinAvgMaxAltra Q80-33 2P93.8133.4147.8OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.21CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 5248 Joules per run.

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeAltra Q80-33 2P20406080100SE +/- 1.06, N = 390.481. RawTherapee, version 5.8, command line.
MinAvgMaxAltra Q80-33 2P95.8160.1300.8OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 15260 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETAltra Q80-33 2P300K600K900K1200K1500KSE +/- 21096.62, N = 151355366.281. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SETAltra Q80-33 2P3K6K9K12K15K12367.74
MinAvgMaxAltra Q80-33 2P90.8109.6141.2OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 2353 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAltra Q80-33 2P400K800K1200K1600K2000KSE +/- 28156.62, N = 151775142.631. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETAltra Q80-33 2P4K8K12K16K20K16518.14
MinAvgMaxAltra Q80-33 2P85.8107.5140.8OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 2114 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHAltra Q80-33 2P200K400K600K800K1000KSE +/- 13283.60, N = 151082057.061. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: LPUSHAltra Q80-33 2P2K4K6K8K10K9704.72
MinAvgMaxAltra Q80-33 2P89.5111.5141.2OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 2639 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAltra Q80-33 2P300K600K900K1200K1500KSE +/- 19902.46, N = 31597561.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SADDAltra Q80-33 2P3K6K9K12K15K14794.06
MinAvgMaxAltra Q80-33 2P92.2108.0138.8OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 2268 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverAltra Q80-33 2P816243240SE +/- 0.21, N = 333.101. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxAltra Q80-33 2P100.5206.3303.5OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 7633 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAltra Q80-33 2P612182430SE +/- 0.07, N = 326.071. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxAltra Q80-33 2P99.5317.4493.2OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 9521 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterAltra Q80-33 2P1224364860SE +/- 1.51, N = 1552.781. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxAltra Q80-33 2P75.6223.9317.2OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 12630 Joules per run.

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsAltra Q80-33 2P0.44780.89561.34341.79122.239SE +/- 0.00, N = 31.991. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsAltra Q80-33 2P0.00450.0090.01350.0180.02250.02
MinAvgMaxAltra Q80-33 2P95.2132.6141.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 6587 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomAltra Q80-33 2P0.1440.2880.4320.5760.72SE +/- 0.00, N = 30.641. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomAltra Q80-33 2P
MinAvgMaxAltra Q80-33 2P93.5136.0145.2OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 7614 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaAltra Q80-33 2P0.35330.70661.05991.41321.7665SE +/- 0.00, N = 31.571. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: KostyaAltra Q80-33 2P0.00230.00460.00690.00920.01150.01
MinAvgMaxAltra Q80-33 2P91.8136.8145.8OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 7891 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDAltra Q80-33 2P0.45680.91361.37041.82722.284SE +/- 0.00, N = 32.031. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDAltra Q80-33 2P0.00450.0090.01350.0180.02250.02
MinAvgMaxAltra Q80-33 2P93.5131.7142.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 6540 Joules per run.

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeAltra Q80-33 2P20M40M60M80M100MSE +/- 1874906.69, N = 14832603471. (CXX) g++ options: -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 12Total TimeAltra Q80-33 2P60K120K180K240K300K270720.31
MinAvgMaxAltra Q80-33 2P92.5307.6497.8OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 12CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 17706 Joules per run.

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyAltra Q80-33 2P30K60K90K120K150KSE +/- 6179.53, N = 25155792.91. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: CopyAltra Q80-33 2P2004006008001000793.92
MinAvgMaxAltra Q80-33 2P73.3196.2336.2OpenBenchmarking.orgWatts, Fewer Is BetterStream 2013-01-17CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 2873 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleAltra Q80-33 2P30K60K90K120K150KSE +/- 14505.85, N = 5144335.31. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddAltra Q80-33 2P30K60K90K120K150KSE +/- 16259.65, N = 5133771.71. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadAltra Q80-33 2P30K60K90K120K150KSE +/- 16114.69, N = 5123487.91. (CC) gcc options: -O3 -march=native -fopenmp

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressAltra Q80-33 2P5K10K15K20K25KSE +/- 43.94, N = 323475.421. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CPU StressAltra Q80-33 2P153045607567.28
MinAvgMaxAltra Q80-33 2P94.5348.9445.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor1202403604806001. Altra Q80-33 2P: Approximate power consumption of 11980 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoAltra Q80-33 2P8K16K24K32K40KSE +/- 167.25, N = 337545.521. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CryptoAltra Q80-33 2P20406080100107.21
MinAvgMaxAltra Q80-33 2P94.2350.2393.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 11907 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathAltra Q80-33 2P200K400K600K800K1000KSE +/- 1608.75, N = 31157543.441. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Vector MathAltra Q80-33 2P70014002100280035003278.68
MinAvgMaxAltra Q80-33 2P95.2353.1401.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 12004 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathAltra Q80-33 2P200K400K600K800K1000KSE +/- 377.45, N = 3840311.491. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Matrix MathAltra Q80-33 2P4008001200160020001883.55
MinAvgMaxAltra Q80-33 2P94.2446.1520.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor1302603905206501. Altra Q80-33 2P: Approximate power consumption of 15317 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityAltra Q80-33 2P3K6K9K12K15KSE +/- 63.42, N = 314621.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Socket ActivityAltra Q80-33 2P132639526557.83
MinAvgMaxAltra Q80-33 2P76.8252.8354.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 7754 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingAltra Q80-33 2P2M4M6M8M10MSE +/- 210426.33, N = 1510937807.061. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Context SwitchingAltra Q80-33 2P12K24K36K48K60K55364.34
MinAvgMaxAltra Q80-33 2P31.6197.6314.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.11.07CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 4689 Joules per run.

Sysbench

This is a benchmark of Sysbench with CPU and memory sub-tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUAltra Q80-33 2P120K240K360K480K600KSE +/- 5136.04, N = 7575274.541. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: CPUAltra Q80-33 2P50010001500200025002485.03
MinAvgMaxAltra Q80-33 2P94.2231.5309.2OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 2018-07-28CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 3241 Joules per run.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryAltra Q80-33 2P300K600K900K1200K1500KSE +/- 13223.91, N = 151470144.741. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: MemoryAltra Q80-33 2P160032004800640080007611.85
MinAvgMaxAltra Q80-33 2P95.8193.1243.5OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 2018-07-28CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 2691 Joules per run.

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileAltra Q80-33 2P816243240SE +/- 0.80, N = 1533.94
MinAvgMaxAltra Q80-33 2P92.2143.4255.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor701402102803501. Altra Q80-33 2P: Approximate power consumption of 5728 Joules per run.

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileAltra Q80-33 2P48121620SE +/- 0.34, N = 1517.01
MinAvgMaxAltra Q80-33 2P94.5199.6439.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Power Consumption Monitor1202403604806001. Altra Q80-33 2P: Approximate power consumption of 4364 Joules per run.

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileAltra Q80-33 2P1632486480SE +/- 0.66, N = 1571.95
MinAvgMaxAltra Q80-33 2P93.5189.8358.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 14588 Joules per run.

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileAltra Q80-33 2P510152025SE +/- 0.02, N = 321.77
MinAvgMaxAltra Q80-33 2P93.5158.0385.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor1002003004005001. Altra Q80-33 2P: Approximate power consumption of 5004 Joules per run.

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAltra Q80-33 2P50100150200250SE +/- 3.14, N = 9242.80
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 10.0CPU Power Consumption MonitorAltra Q80-33 2P70140210280350Min: 95.17 / Avg: 204.53 / Max: 413.171. Altra Q80-33 2P: Approximate power consumption of 54563 Joules per run.

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileAltra Q80-33 2P1224364860SE +/- 1.34, N = 1552.19
MinAvgMaxAltra Q80-33 2P92.8156.9410.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Power Consumption Monitor1102203304405501. Altra Q80-33 2P: Approximate power consumption of 9067 Joules per run.

Tinymembench

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetAltra Q80-33 2P9K18K27K36K45KSE +/- 82.21, N = 343044.11. (CC) gcc options: -O2 -lm
OpenBenchmarking.orgMB/s Per Watt, More Is BetterTinymembench 2018-05-28Standard MemsetAltra Q80-33 2P70140210280350302.47
MinAvgMaxAltra Q80-33 2P95.8142.3156.2OpenBenchmarking.orgWatts, Fewer Is BetterTinymembench 2018-05-28CPU Power Consumption Monitor40801201602001. Altra Q80-33 2P: Approximate power consumption of 33347 Joules per run.

toyBrot Fractal Generator

ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBAltra Q80-33 2P2K4K6K8K10KSE +/- 3137.34, N = 12114851. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMaxAltra Q80-33 2P91.8189.7334.5OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 3019 Joules per run.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPAltra Q80-33 2P10002000300040005000SE +/- 143.86, N = 1548531. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMaxAltra Q80-33 2P94.2196.3335.5OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 1740 Joules per run.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksAltra Q80-33 2P10002000300040005000SE +/- 51.79, N = 1548211. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMaxAltra Q80-33 2P95.2197.6337.5OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 1752 Joules per run.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsAltra Q80-33 2P9001800270036004500SE +/- 21.06, N = 840461. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMaxAltra Q80-33 2P96.5197.0333.8OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 1600 Joules per run.

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceAltra Q80-33 2P200K400K600K800K1000K11450681. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceAltra Q80-33 2P2K4K6K8K10K10474.36
MinAvgMaxAltra Q80-33 2P96.2109.3142.5OpenBenchmarking.orgWatts, Fewer Is BetterTSCP 1.81CPU Power Consumption Monitor4080120160200

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingAltra Q80-33 2P120240360480600SE +/- 9.46, N = 15535.571. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingAltra Q80-33 2P0.6121.2241.8362.4483.062.72
MinAvgMaxAltra Q80-33 2P90.2197.2329.5OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor801602403204001. Altra Q80-33 2P: Approximate power consumption of 6598 Joules per run.

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7Altra Q80-33 2P4080120160200SE +/- 0.27, N = 3160.321. (CXX) g++ options: -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lgif -lwebp -lwebpdemux
MinAvgMaxAltra Q80-33 2P96.2177.1196.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 29102 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7Altra Q80-33 2P60120180240300SE +/- 1.69, N = 3284.861. (CXX) g++ options: -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lgif -lwebp -lwebpdemux
MinAvgMaxAltra Q80-33 2P95.8175.1197.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 50544 Joules per run.

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingAltra Q80-33 2P306090120150SE +/- 4.21, N = 15154.741. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2019-12-17H.264 Video EncodingAltra Q80-33 2P0.24530.49060.73590.98121.22651.09
MinAvgMaxAltra Q80-33 2P92.2142.4232.8OpenBenchmarking.orgWatts, Fewer Is Betterx264 2019-12-17CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 1139 Joules per run.

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAltra Q80-33 2P3691215SE +/- 0.07, N = 1510.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KAltra Q80-33 2P0.01350.0270.04050.0540.06750.06
MinAvgMaxAltra Q80-33 2P94.8181.5226.8OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 10914 Joules per run.

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Altra Q80-33 2P612182430SE +/- 1.30, N = 1525.661. (CC) gcc options: -pthread -fvisibility=hidden -O2
MinAvgMaxAltra Q80-33 2P95.2152.2176.2OpenBenchmarking.orgWatts, Fewer Is BetterXZ Compression 5.2.4CPU Power Consumption Monitor501001502002501. Altra Q80-33 2P: Approximate power consumption of 4516 Joules per run.

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Altra Q80-33 2P10002000300040005000SE +/- 253.80, N = 134492.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 3Altra Q80-33 2P71421283529.75
MinAvgMaxAltra Q80-33 2P95.8151.0225.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 5041 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Altra Q80-33 2P1122334455SE +/- 3.70, N = 1249.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 19Altra Q80-33 2P0.06530.13060.19590.26120.32650.29
MinAvgMaxAltra Q80-33 2P94.8168.9227.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor601201802403001. Altra Q80-33 2P: Approximate power consumption of 11235 Joules per run.

147 Results Shown

7-Zip Compression
ACES DGEMM
Aircrack-ng
Algebraic Multi-Grid Benchmark
AOBench
Apache CouchDB
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
ASTC Encoder:
  Thorough
  Exhaustive
Basis Universal:
  UASTC Level 2
  UASTC Level 3
Botan:
  AES-256
  Blowfish
  CAST-256
  KASUMI
  Twofish
Build2
C-Ray
Coremark
Crypto++:
  Unkeyed Algorithms
  Keyed Algorithms
  Integer + Elliptic Curve Public Key Algorithms
dav1d:
  Summer Nature 1080p
  Summer Nature 4K
  Chimera 1080p
  Chimera 1080p 10-bit
ebizzy
eSpeak-NG Speech Engine
Etcpak:
  ETC1 + Dithering
  ETC2
  DXT1
Facebook RocksDB:
  Rand Fill Sync
  Rand Read
  Read While Writing
FFTE
Gcrypt Library
Google SynthMark
GPAW
GROMACS
Hierarchical INTegration
High Performance Conjugate Gradient
Hugin
Incompact3D
John The Ripper:
  MD5
  Blowfish
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
LeelaChessZero:
  BLAS
  Eigen
LibRaw
LULESH
LZ4 Compression:
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
m-queens
miniFE
Monte Carlo Simulations of Ionised Nebulae
N-Queens
NAS Parallel Benchmarks:
  EP.C
  LU.C
Nebular Empirical Analysis Tool
Ngspice:
  C2670
  C7552
Numenta Anomaly Benchmark:
  Bayesian Changepoint
  Windowed Gaussian
  Relative Entropy
  Earthgecko Skyline
Numpy Benchmark
NWChem
OCRMyPDF
OpenFOAM:
  Motorbike 30M
  Motorbike 60M
Parboil:
  OpenMP CUTCP
  OpenMP Stencil
  OpenMP LBM
Pennant:
  leblancbig
  sedovbig
Perl Benchmarks:
  Pod2html
  Interpreter
PHPBench
PostgreSQL pgbench:
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Only
  100 - 100 - Read Only - Average Latency
  100 - 250 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
PyBench
PyPerformance:
  crypto_pyaes
  django_template
  float
  nbody
  pathlib
  python_startup
  regex_compile
QuantLib
RawTherapee
Redis:
  SET
  GET
  LPUSH
  SADD
Rodinia:
  OpenMP CFD Solver
  OpenMP LavaMD
  OpenMP Streamcluster
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
Stockfish
Stream:
  Copy
  Scale
  Add
  Triad
Stress-NG:
  CPU Stress
  Crypto
  Vector Math
  Matrix Math
  Socket Activity
  Context Switching
Sysbench:
  CPU
  Memory
Timed Apache Compilation
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Timed ImageMagick Compilation
Timed LLVM Compilation
Timed PHP Compilation
Tinymembench
toyBrot Fractal Generator:
  TBB
  OpenMP
  C++ Tasks
  C++ Threads
TSCP
TTSIOD 3D Renderer
WebP2 Image Encode:
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
x264
x265
XZ Compression
Zstd Compression:
  3
  19

Altra Q80-33 2P

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.04, Kernel: 5.11.0-051100-generic-64k (aarch64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 February 2021 17:22 by user root.