3300X New

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009280-FI-3300XNEW187&grr.

3300X NewProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

3300X Newlczero: BLASlczero: Eigenlczero: Randgromacs: Water Benchmarkmlpack: scikit_qdacaffe: GoogleNet - CPU - 200namd: ATPase Simulation - 327,506 Atomshint: FLOATbyte: Dhrystone 2couchdb: 100 - 1000 - 24hmmer: Pfam Database Searchmpv: Big Buck Bunny Sunflower 4K - Software Onlycaffe: GoogleNet - CPU - 100influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000caffe: AlexNet - CPU - 200ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetmpv: Big Buck Bunny Sunflower 1080p - Software Onlymlpack: scikit_icamlpack: scikit_linearridgeregressionlibraw: Post-Processing Benchmarkcaffe: AlexNet - CPU - 100espeak: Text-To-Speech Synthesiswebp: Quality 100, Lossless, Highest Compressionmlpack: scikit_svmopencv: DNN - Deep Neural Networktnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicswebp: Quality 100, Losslesswebp: Quality 100, Highest Compressionffte: N=256, 3D Complex FFT Routinewebp: Quality 100webp: Default1236886652279200.55966.421972524.31075379856539.7832946642879.6112.671103.710175.59986101148083.71215926.11235812.27572729.7033.8417.9216.5770.0416.911.477.665.053.204.865.3920.8919.81319.4353.353.0430.743785428.14434.08819.404079250.394240.73316.33416.0546.96725965.3987177512.2431.4726667122273890.55566.751984624.30607379820315.5664346044154.4112.808103.495175.95987591154741.01214667.81234016.67642329.8734.0818.3616.5470.3316.841.527.665.043.184.765.5121.1319.89319.1253.233.0230.883810428.46333.93119.494287249.962238.70616.33615.9406.98025833.1425019092.2481.4697917342277210.56065.901979554.31865380134502.2020345708214.7113.836104.013175.75987421135241.11213725.51231834.87569929.9733.8518.0816.5770.2717.021.527.814.903.184.745.4320.9419.72319.1853.993.0330.693790728.61834.36819.444287250.390239.05516.37316.0736.95525987.2379613602.2441.475OpenBenchmarking.org

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000SE +/- 7.18, N = 8SE +/- 7.06, N = 8SE +/- 2.08, N = 36886667911. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123160320480640800SE +/- 7.38, N = 7SE +/- 16.24, N = 9SE +/- 4.63, N = 36657127341. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12350K100K150K200K250KSE +/- 149.15, N = 3SE +/- 250.79, N = 3SE +/- 278.97, N = 32279202273892277211. (CXX) g++ options: -flto -pthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.1260.2520.3780.5040.63SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5590.5550.5601. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231530456075SE +/- 0.90, N = 3SE +/- 0.72, N = 15SE +/- 0.47, N = 366.4266.7565.90

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012340K80K120K160K200KSE +/- 139.14, N = 3SE +/- 64.09, N = 3SE +/- 171.89, N = 31972521984621979551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1230.97171.94342.91513.88684.8585SE +/- 0.00138, N = 3SE +/- 0.00237, N = 3SE +/- 0.00476, N = 34.310754.306074.31865

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12380M160M240M320M400MSE +/- 80927.04, N = 3SE +/- 60537.24, N = 3SE +/- 164211.85, N = 3379856539.78379820315.57380134502.201. (CC) gcc options: -O3 -march=native -lm

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 212310M20M30M40M50MSE +/- 111506.75, N = 3SE +/- 536167.24, N = 3SE +/- 334020.32, N = 346642879.646044154.445708214.7

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150SE +/- 0.76, N = 3SE +/- 1.07, N = 3SE +/- 0.89, N = 3112.67112.81113.841. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100SE +/- 0.09, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3103.71103.50104.011. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

MPV

Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only1234080120160200SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3175.59175.95175.75MIN: 160.02 / MAX: 181.84MIN: 162.18 / MAX: 181.84MIN: 162.18 / MAX: 181.841. mpv 0.32.0

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KSE +/- 53.78, N = 3SE +/- 74.51, N = 3SE +/- 239.08, N = 39861098759987421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 14015.74, N = 3SE +/- 910.58, N = 3SE +/- 18997.93, N = 31148083.71154741.01135241.1

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 445.95, N = 3SE +/- 837.81, N = 3SE +/- 2005.21, N = 31215926.11214667.81213725.5

InfluxDB

Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 569.40, N = 3SE +/- 2518.88, N = 3SE +/- 3050.85, N = 31235812.21234016.61231834.8

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012316K32K48K64K80KSE +/- 7.42, N = 3SE +/- 119.56, N = 3SE +/- 69.34, N = 37572776423756991. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 329.7029.8729.97MIN: 29.36 / MAX: 102.28MIN: 29.61 / MAX: 94.06MIN: 29.43 / MAX: 96.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123816243240SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 333.8434.0833.85MIN: 33.48 / MAX: 101.31MIN: 33.69 / MAX: 102.01MIN: 33.37 / MAX: 101.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 317.9218.3618.08MIN: 17.79 / MAX: 19.18MIN: 17.99 / MAX: 81.76MIN: 17.84 / MAX: 65.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 316.5716.5416.57MIN: 16.36 / MAX: 81.22MIN: 16.46 / MAX: 17.25MIN: 16.33 / MAX: 84.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 370.0470.3370.27MIN: 69.21 / MAX: 134.99MIN: 69.45 / MAX: 145.44MIN: 69.43 / MAX: 137.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 316.9116.8417.02MIN: 16.56 / MAX: 85.29MIN: 16.59 / MAX: 26.56MIN: 16.76 / MAX: 84.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.3420.6841.0261.3681.71SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 31.471.521.52MIN: 1.38 / MAX: 1.56MIN: 1.45 / MAX: 1.57MIN: 1.44 / MAX: 1.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 37.667.667.81MIN: 7.42 / MAX: 8.79MIN: 7.43 / MAX: 9.07MIN: 7.44 / MAX: 73.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.13632.27263.40894.54525.6815SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 35.055.044.90MIN: 4.7 / MAX: 71.14MIN: 4.82 / MAX: 73.28MIN: 4.82 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.721.442.162.883.6SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.203.183.18MIN: 3.16 / MAX: 4.32MIN: 3.15 / MAX: 4.42MIN: 3.15 / MAX: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.09352.1873.28054.3745.4675SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.864.764.74MIN: 4.67 / MAX: 70.14MIN: 4.67 / MAX: 9.58MIN: 4.66 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.23982.47963.71944.95926.199SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 35.395.515.43MIN: 5.26 / MAX: 15.94MIN: 5.25 / MAX: 70.66MIN: 5.25 / MAX: 6.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 320.8921.1320.94MIN: 20.34 / MAX: 79.79MIN: 20.6 / MAX: 135.51MIN: 20.27 / MAX: 87.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 319.8119.8919.72MIN: 19.45 / MAX: 84.09MIN: 19.59 / MAX: 85.23MIN: 19.22 / MAX: 87.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

MPV

Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12370140210280350SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3319.43319.12319.18MIN: 307.73 / MAX: 324.37MIN: 315.83 / MAX: 324.36MIN: 307.73 / MAX: 324.361. mpv 0.32.0

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860SE +/- 0.40, N = 3SE +/- 0.23, N = 3SE +/- 0.30, N = 353.3553.2353.99

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.6841.3682.0522.7363.42SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.043.023.03

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 330.7430.8830.691. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001238K16K24K32K40KSE +/- 59.95, N = 3SE +/- 61.07, N = 3SE +/- 73.17, N = 33785438104379071. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835SE +/- 0.24, N = 4SE +/- 0.09, N = 4SE +/- 0.14, N = 428.1428.4628.621. (CC) gcc options: -O2 -std=c99

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123816243240SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 334.0933.9334.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 319.4019.4919.44

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1239001800270036004500SE +/- 127.04, N = 12SE +/- 83.23, N = 15SE +/- 106.08, N = 154079428742871. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250SE +/- 0.95, N = 3SE +/- 1.39, N = 3SE +/- 0.82, N = 3250.39249.96250.39MIN: 247.95 / MAX: 288.33MIN: 246.61 / MAX: 282.57MIN: 247.08 / MAX: 280.651. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.21, N = 3SE +/- 0.74, N = 3SE +/- 0.70, N = 3240.73238.71239.06MIN: 237.48 / MAX: 242.43MIN: 235.48 / MAX: 249.9MIN: 235.94 / MAX: 247.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 316.3316.3416.37

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 316.0515.9416.071. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.011, N = 3SE +/- 0.022, N = 3SE +/- 0.006, N = 36.9676.9806.9551. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KSE +/- 190.92, N = 3SE +/- 59.58, N = 3SE +/- 32.59, N = 325965.4025833.1425987.241. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.50581.01161.51742.02322.529SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 32.2432.2482.2441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.33190.66380.99571.32761.6595SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 31.4721.4691.4751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff


Phoronix Test Suite v10.8.5