3800XT Sat

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 10 via the Phoronix Test Suite.

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3800XT Sat - Phoronix Test Suite

3800XT Sat

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012128-HA-3800XTSAT00&grs&sor.

3800XT SatProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS)AMD Starship/Matisse16GB128GB INTEL SSDPEKKW128G7Sapphire AMD Radeon HD 4650AMD RV710/730Intel I211Debian 104.19.0-13-amd64 (x86_64)X Server 1.20.4modesetting 1.20.4GCC 8.3.0ext41024x768OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Python Details- Python 2.7.16 + Python 3.7.3Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

3800XT Satsqlite-speedtest: Timed Time - Size 1,000compilebench: Read Compiled Treeonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUcompilebench: Compileonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUbuild-ffmpeg: Time To Compileonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAbrl-cad: VGR Performance Metriconednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUgraphics-magick: Rotateonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUgraphics-magick: Enhancedonednn: IP Shapes 1D - u8s8f32 - CPUgraphics-magick: Noise-Gaussiangraphics-magick: Swirlonednn: IP Shapes 1D - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUhmmer: Pfam Database Searchonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUgraphics-magick: Resizingonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondonednn: Convolution Batch Shapes Auto - f32 - CPUgraphics-magick: HWB Color Spacegraphics-magick: Sharpencompilebench: Initial Create12354.9094171.635.07364844.542568.382534.4847.8692576.038.537163769.8911.6291281592.795483771.026.158868494.909503770.042132.529542675754.489654.8687898.3296.464142.21579116320.0259383032.55224422.27031366140669.4956.3284088.295.12100853.742579.112569.9447.2412545.558.530663739.6311.5391271692.787933764.836.125338464.938033768.242132.525212675734.493174.8806398.4136.476562.21160116520.0112383539.03027422.25391366140702.734131.975.02533860.272541.562566.172571.768.624943753.4511.5362.775723747.446.121718514.919643752.152142.535522685734.504964.8684198.5636.472002.21205116420.037922.26351366140738.06OpenBenchmarking.org

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000121326395265SE +/- 0.26, N = 3SE +/- 0.63, N = 754.9156.331. (CC) gcc options: -O2 -ldl -lz -lpthread

Compile Bench

Test: Read Compiled Tree

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1329001800270036004500SE +/- 1.89, N = 3SE +/- 21.72, N = 3SE +/- 16.29, N = 34171.634131.974088.29

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU3121.15222.30443.45664.60885.761SE +/- 0.00124, N = 3SE +/- 0.02389, N = 3SE +/- 0.06972, N = 35.025335.073645.12100MIN: 4.88MIN: 4.89MIN: 4.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Compile Bench

Test: Compile

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile3212004006008001000SE +/- 2.82, N = 3SE +/- 3.60, N = 3SE +/- 13.31, N = 9860.27853.74844.54

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU3126001200180024003000SE +/- 10.80, N = 3SE +/- 35.65, N = 3SE +/- 10.92, N = 32541.562568.382579.11MIN: 2508.49MIN: 2521.85MIN: 2557.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1326001200180024003000SE +/- 3.40, N = 3SE +/- 20.57, N = 3SE +/- 16.22, N = 32534.482566.172569.94MIN: 2508.43MIN: 2529.35MIN: 2528.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile211122334455SE +/- 0.03, N = 3SE +/- 0.75, N = 347.2447.87

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU2316001200180024003000SE +/- 5.82, N = 3SE +/- 3.99, N = 3SE +/- 14.58, N = 32545.552571.762576.03MIN: 2511.67MIN: 2531.02MIN: 2532.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU213246810SE +/- 0.01733, N = 3SE +/- 0.01048, N = 3SE +/- 0.09450, N = 38.530668.537168.62494MIN: 8.26MIN: 8.22MIN: 8.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2318001600240032004000SE +/- 10.99, N = 3SE +/- 24.47, N = 3SE +/- 29.93, N = 33739.633753.453769.89MIN: 3685.61MIN: 3695.8MIN: 3713.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA3213691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 311.5411.5411.631. (CC) gcc options: -std=c99 -O3 -lm -lpthread

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric1230K60K90K120K150K1281591271691. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3210.6291.2581.8872.5163.145SE +/- 0.00253, N = 3SE +/- 0.01568, N = 3SE +/- 0.01991, N = 32.775722.787932.79548MIN: 2.65MIN: 2.63MIN: 2.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3218001600240032004000SE +/- 12.83, N = 3SE +/- 13.00, N = 3SE +/- 13.24, N = 33747.443764.833771.02MIN: 3684.06MIN: 3699.18MIN: 3719.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU321246810SE +/- 0.03095, N = 3SE +/- 0.04876, N = 3SE +/- 0.10060, N = 36.121716.125336.15886MIN: 5.87MIN: 5.89MIN: 5.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate3122004006008001000SE +/- 1.15, N = 3SE +/- 3.06, N = 3SE +/- 1.86, N = 38518498461. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1321.11112.22223.33334.44445.5555SE +/- 0.00858, N = 3SE +/- 0.01083, N = 3SE +/- 0.03223, N = 34.909504.919644.93803MIN: 4.81MIN: 4.82MIN: 4.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU3218001600240032004000SE +/- 13.59, N = 3SE +/- 14.92, N = 3SE +/- 28.06, N = 33752.153768.243770.04MIN: 3695.13MIN: 3711.2MIN: 3712.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced32150100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 32142132131. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2130.57051.1411.71152.2822.8525SE +/- 0.01188, N = 3SE +/- 0.01920, N = 3SE +/- 0.02336, N = 32.525212.529542.53552MIN: 2.45MIN: 2.47MIN: 2.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian321601201802403002682672671. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl132120240360480600SE +/- 0.88, N = 3SE +/- 2.91, N = 3SE +/- 1.86, N = 35755735731. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.01362.02723.04084.05445.068SE +/- 0.00257, N = 3SE +/- 0.00277, N = 3SE +/- 0.01172, N = 34.489654.493174.50496MIN: 4.37MIN: 4.37MIN: 4.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU3121.09812.19623.29434.39245.4905SE +/- 0.00553, N = 3SE +/- 0.00398, N = 3SE +/- 0.00199, N = 34.868414.868784.88063MIN: 4.79MIN: 4.7MIN: 4.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 398.3398.4198.561. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU132246810SE +/- 0.00490, N = 3SE +/- 0.00848, N = 3SE +/- 0.00280, N = 36.464146.472006.47656MIN: 6.27MIN: 6.24MIN: 6.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2310.49860.99721.49581.99442.493SE +/- 0.00062, N = 3SE +/- 0.00084, N = 3SE +/- 0.00129, N = 32.211602.212052.21579MIN: 2.15MIN: 2.15MIN: 2.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

GraphicsMagick

Operation: Resizing

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizing23130060090012001500SE +/- 0.67, N = 3SE +/- 2.08, N = 31165116411631. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU213510152025SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 320.0120.0320.04MIN: 19.67MIN: 19.61MIN: 19.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2180K160K240K320K400KSE +/- 1349.13, N = 3SE +/- 5758.12, N = 3383539.03383032.551. (CC) gcc options: -O2 -lrt" -lrt

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU231510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 322.2522.2622.27MIN: 22.01MIN: 22.07MIN: 22.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space32130060090012001500SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 31366136613661. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen3213060901201501401401401. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Compile Bench

Test: Initial Create

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create321160320480640800SE +/- 10.61, N = 3SE +/- 28.61, N = 3SE +/- 31.98, N = 3738.06702.73669.49

Phoronix Test Suite v10.8.4