AMD EPYC 7F52

AMD EPYC 7F52 16-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012294-HA-AMDEPYC7F75&grs.

AMD EPYC 7F52ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7F52Linux 5.10.3AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse64GB280GB INTEL SSDPE21D280GAllvmpipeVE2282 x Intel 10G X550TUbuntu 20.045.8.0-050800rc6daily20200721-generic (x86_64) 20200720GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits)GCC 9.3.0ext41920x10805.10.3-051003-generic (x86_64)OpenBenchmarking.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 (Boost: Enabled) - CPU Microcode: 0x8301034Java Details- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7F52polyhedron: tfft2onednn: IP Shapes 3D - u8s8f32 - CPUredis: LPOPonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Shapes 3D - f32 - CPUstress-ng: Forkingstress-ng: System V Message Passingonednn: IP Shapes 1D - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUpyperformance: python_startuponednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUstress-ng: MMAPredis: GETgraphics-magick: HWB Color Spaceopenvkl: vklBenchmarkVdbVolumestress-ng: SENDFILEkvazaar: Bosphorus 1080p - Ultra Fastopenvkl: vklBenchmarkStructuredVolumestress-ng: MEMFDsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pstress-ng: Socket Activityredis: SADDopm: Flow MPI Norne - 8pgbench: 1 - 250 - Read Only - Average Latencyopm: Flow MPI Norne - 16svt-vp9: Visual Quality Optimized - Bosphorus 1080pncnn: CPU - squeezenet_ssdkvazaar: Bosphorus 1080p - Very Fastpgbench: 1 - 250 - Read Onlydaphne: OpenMP - Points2Imageonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUrsvg: SVG Files To PNGredis: LPUSHpyperformance: floataom-av1: Speed 0 Two-Passplaidml: No - Inference - ResNet 50 - CPUhmmer: Pfam Database Searchbuild-gdb: Time To Compilesvt-vp9: VMAF Optimized - Bosphorus 1080ppgbench: 1 - 1 - Read Only - Average Latencygpaw: Carbon Nanotubenumenta-nab: EXPoSEcompress-zstd: 19wireguard: simdjson: LargeRandstress-ng: Memory Copyingpolyhedron: test_fpu2compress-zstd: 3pyperformance: pathlibecp-candle: P1B2plaidml: No - Inference - VGG16 - CPUnumenta-nab: Bayesian Changepointplaidml: No - Inference - Inception V3 - CPUgraphics-magick: Noise-Gaussiankvazaar: Bosphorus 4K - Ultra Fastecp-candle: P3B1plaidml: No - Inference - VGG19 - CPUredis: SETpgbench: 1 - 50 - Read Only - Average Latencycompress-lz4: 9 - Compression Speedstress-ng: Context Switchingpgbench: 1 - 50 - Read Writesimdjson: Kostyapgbench: 1 - 50 - Read Write - Average Latencyncnn: CPU - resnet50tachyon: Total Timepgbench: 1 - 50 - Read Onlycrafty: Elapsed Timestress-ng: NUMAkeydb: mnn: resnet-v2-50mnn: inception-v3pyperformance: django_templatestress-ng: Semaphorespgbench: 1 - 100 - Read Only - Average Latencydav1d: Summer Nature 1080ppyperformance: pickle_pure_pythonmlpack: scikit_svmncnn: CPU - mobilenetpgbench: 1 - 100 - Read Onlyvpxenc: Speed 5x265: Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragonpgbench: 1 - 1 - Read Onlymnn: MobileNetV2_224opm: Flow MPI Norne - 4stress-ng: Matrix Mathbrl-cad: VGR Performance Metriccompress-7zip: Compress Speed Testcaffe: AlexNet - CPU - 100embree: Pathtracer - Crownbuild-apache: Time To Compileopenvino: Age Gender Recognition Retail 0013 FP32 - CPUaom-av1: Speed 6 Realtimebuild-eigen: Time To Compilesvt-av1: Enc Mode 8 - 1080poctave-benchmark: mlpack: scikit_icapgbench: 1 - 250 - Read Writecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9numenta-nab: Windowed Gaussiandav1d: Chimera 1080pphpbench: PHP Benchmark Suiteinfluxdb: 4 - 10000 - 2,5000,1 - 10000pgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 100 - Read Write - Average Latencylibraw: Post-Processing Benchmarkpgbench: 1 - 100 - Read Writeonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUpyperformance: 2to3pyperformance: crypto_pyaesai-benchmark: Device Training Scorecoremark: CoreMark Size 666 - Iterations Per Secondpyperformance: chaosespeak: Text-To-Speech Synthesisnode-web-tooling: svt-av1: Enc Mode 0 - 1080pkvazaar: Bosphorus 1080p - Slowdaphne: OpenMP - NDT Mappingkvazaar: Bosphorus 1080p - Mediumv-ray: CPUx265: Bosphorus 1080pgraphics-magick: Rotatepyperformance: json_loadsembree: Pathtracer ISPC - Crownblender: BMW27 - CPU-Onlyonednn: IP Shapes 1D - u8s8f32 - CPUbuild2: Time To Compilencnn: CPU - efficientnet-b0dav1d: Chimera 1080p 10-bitbuild-ffmpeg: Time To Compilelibreoffice: 20 Documents To PDFkvazaar: Bosphorus 4K - Mediumpolyhedron: aermodncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - regnety_400mplaidml: No - Inference - DenseNet 201 - CPUsqlite-speedtest: Timed Time - Size 1,000yafaray: Total Time For Sample Scenecompress-lz4: 1 - Compression Speedncnn: CPU-v2-v2 - mobilenet-v2mlpack: scikit_linearridgeregressionai-benchmark: Device AI Scoreencode-flac: WAV To FLACvpxenc: Speed 0pgbench: 1 - 1 - Read Writebyte: Dhrystone 2ncnn: CPU - blazefacex264: H.264 Video Encodingsvt-av1: Enc Mode 4 - 1080ppolyhedron: channel2openvkl: vklBenchmarktensorflow-lite: NASNet Mobilenamd: ATPase Simulation - 327,506 Atomstnn: CPU - SqueezeNet v1.1ncnn: CPU - vgg16kvazaar: Bosphorus 4K - Very Fastdaphne: OpenMP - Euclidean Clusterencode-ogg: WAV To Oggcompress-lz4: 3 - Decompression Speedinfluxdb: 64 - 10000 - 2,5000,1 - 10000asmfish: 1024 Hash Memory, 26 Depthcompress-lz4: 9 - Decompression Speedembree: Pathtracer - Asian Dragonstress-ng: Atomicaom-av1: Speed 4 Two-Passaom-av1: Speed 8 Realtimewebp: Quality 100, Losslesskvazaar: Bosphorus 4K - Slowpyperformance: goindigobench: CPU - Supercarncnn: CPU - yolov4-tinygromacs: Water Benchmarkpgbench: 1 - 1 - Read Write - Average Latencygraphics-magick: Resizingecp-candle: P3B2numpy: mnn: mobilenet-v1-1.0stress-ng: CPU Stresscaffe: GoogleNet - CPU - 100ffte: N=256, 3D Complex FFT Routinebuild-linux-kernel: Time To Compileopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUcaffe: GoogleNet - CPU - 200tensorflow-lite: Mobilenet Floatpolyhedron: acblender: Fishy Cat - CPU-Onlycompress-lz4: 1 - Decompression Speedtensorflow-lite: Inception V4tensorflow-lite: Mobilenet Quantcaffe: AlexNet - CPU - 200astcenc: Mediumopenvino: Person Detection 0106 FP16 - CPUluxcorerender: Rainbow Colors and Prismncnn: CPU - alexnetpolyhedron: capacitancnn: CPU - googlenetai-benchmark: Device Inference Scoreblender: Barbershop - CPU-Onlywebp: Quality 100rav1e: 1aom-av1: Speed 6 Two-Passmlpack: scikit_qdamafft: Multiple Sequence Alignment - LSU RNAaircrack-ng: openvino: Face Detection 0106 FP16 - CPUblender: Classroom - CPU-Onlybuild-mplayer: Time To Compileunpack-firefox: firefox-84.0.source.tar.xzstress-ng: Glibc Qsort Data Sortingstress-ng: Cryptoembree: Pathtracer ISPC - Asian Dragon Objpolyhedron: gas_dyn2pyperformance: raytracewebp: Quality 100, Highest Compressionrav1e: 6tensorflow-lite: SqueezeNetopenvino: Person Detection 0106 FP32 - CPUtnn: CPU - MobileNet v2polyhedron: fatigue2rav1e: 10ncnn: CPU - resnet18deepspeech: CPUopenssl: RSA 4096-bit Performanceopenvino: Age Gender Recognition Retail 0013 FP32 - CPUtensorflow-lite: Inception ResNet V2ocrmypdf: Processing 60 Page PDF Documentrnnoise: openvino: Face Detection 0106 FP32 - CPUlammps: 20k Atomsdav1d: Summer Nature 4Kplaidml: No - Inference - Mobilenet - CPUplaidml: No - Inference - IMDB LSTM - CPUjohn-the-ripper: MD5opm: Flow MPI Norne - 1graphics-magick: Swirlncnn: CPU - shufflenet-v2numenta-nab: Earthgecko Skylineembree: Pathtracer - Asian Dragon Objwebp: Quality 100, Lossless, Highest Compressiononednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUpolyhedron: induct2numenta-nab: Relative Entropyencode-wavpack: WAV To WavPackopenvino: Age Gender Recognition Retail 0013 FP16 - CPUencode-mp3: WAV To MP3stress-ng: Mallocstress-ng: Glibc C String Functionspolyhedron: rnflowblender: Pabellon Barcelona - CPU-Onlystress-ng: Vector Mathhugin: Panorama Photo Assistant + Stitching Timeopm: Flow MPI Norne - 2encode-ape: WAV To APEjohn-the-ripper: Blowfishencode-opus: WAV To Opus Encodeopenvkl: vklBenchmarkUnstructuredVolumebuild-clash: Time To Compilecompress-lz4: 3 - Compression Speedastcenc: Exhaustivepolyhedron: mp_prop_designstockfish: Total Timehint: FLOATopenvino: Face Detection 0106 FP16 - CPUpyperformance: regex_compilepyperformance: nbodyindigobench: CPU - Bedroomopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUplaidml: No - Inference - NASNer Large - CPUncnn: CPU - mnasnetastcenc: Thoroughastcenc: Fastluxcorerender: DLSCoidn: Memorialrav1e: 5graphics-magick: Enhancedgraphics-magick: Sharpensimdjson: DistinctUserIDsimdjson: PartialTweetswebp: Defaultmocassin: Dust 2D tau100.0polyhedron: proteinpolyhedron: linpkpolyhedron: doducpolyhedron: mdbxpolyhedron: airclomp: Static OMP Speedupsunflow: Global Illumination + Image Synthesismnn: SqueezeNetV1.0stress-ng: CPU Cachelammps: Rhodopsin ProteinEPYC 7F52Linux 5.10.321.790.7720581915545.963.294030.6759152.3675256181.2810610267.692.005192.763214.038015.556827.761992.602006.801994.621068.481069.391057.42229.801753884.37117115263784.666667297122.81105.1268692259.882883680.78252.1810784.401565518.88217.4140.449361.917203.9821.8968.3955682522093.9127013502.8689024.2091216222.501200.316.14131.05194.183248.380.035117.375756.88076.8293.8670.386435.7332.128221.517.138.58524.3527.20810.3941940.41648.69920.271350619.520.10251.788409881.7742310.5211.82221.3447.23894918277776189409.25432105.7334.55433.53048.32314681.130.195533.8047723.3619.2751430723.0820.9321.1789282736.208168.76477530.482455161068037166719.783622.3960.7919.1683.44338.5317.40252.87222720.9937.530574.786185521211752.0112.58130.03738.1833321.838443291091421688169.93012211330.7819.270.11735.05977.6535.972733461.7661924.918.766283.521.5111575.25711.06110.6433.8907.15810.246.127.6844.513.1966.721130.0979947.808.491.7331898.5627.16380341016145.23.69162.775.36042.52217.811272751.14226263.03830.1724.441090.6420.59610768.21425736.14624079710898.420.9704512936.212.4234.1217.50410.062547.76125.942.3650.2631597899.42367.106.5756244.3318165299888.44364065945.1173.043.0636399868415.06.53108.0011455.8149459069832.41436226.892582.883.497.0317.6117.651768354.802.4980.3693.7430.049.00956912.7404.02239.8020.37920.434269.574565.9719.635644.164757.7321.4641062962600.35274.96652.313.18610.6968.293464571.49935.55134392019.51520.1331986.9112.273227.6714.53665.881726333365.3738968.9876.83320.405036.3095.5228023.7914.46613.7539974.707.933332554816.831144375.8516.6266.54142981.9750.703212.22012.505263907.9801818093.8853838450.47953.49108.8359.3836388251347415262.130201988.751731133.5770.784.011.047.6013.795.353.2714.221.0943742350.620.611.61819213.843.187.264.721.7750.10.82010.93344.8611.67857.631.335931228236.414.786910.9370893.1420144312.128395010.732.408103.256734.737066.228778.692211.732220.502192.821169.571162.781148.93248.171630009.81125316277364.242424280154.74110.3672087200.315315712.74264.0110348.911503178.00208.9130.467348.105212.0721.0671.0553641221297.6602705912.9726425.0791174489.561160.305.96127.22896.979255.720.036114.132778.15974.7301.8970.396274.4331.328027.817.537.72324.8927.80410.1742841.27662.32220.691323358.980.10052.818245888.9741510.5312.04820.9448.12855010477633247416.60424609.6033.96032.96447.52278162.650.198541.8347023.0219.5550716123.4021.2220.8918278966.126166.54076518.792423231082097260519.529722.6840.7819.4084.47939.0077.49253.50220121.2337.446581.266254411198820.3113.78130.33738.5633001.821573261101434694463.10089411231.0519.350.11635.35969.3836.272711062.2761424.718.623982.891.5222075.80211.14111.4434.1297.20810.316.167.7344.793.2167.138130.90810009.498.441.7232078.6107.2378241240132.33.67163.655.38842.3218.941266191.14801264.35730.0224.561085.3620.69210815.31419536.44644165310851.621.0601510793.922.4133.9817.57410.102537.73125.842.3740.2641591896.053368.456.5516266.84181008100233.05526159745.2693.033.0736284168630.96.51108.3311490.6149901770037.41440396.912590.333.507.0117.5617.701773355.802.4910.3703.7529.969.03356766.0044.01239.2220.42820.483268.944555.4319.590544.264767.7161.4611065102605.51275.50652.213.19210.7168.166684579.89953.07134624319.54820.1011989.9112.255227.3414.51666.791728667364.9368958.9776.75320.424636.2755.5275823.8114.47813.7429966.937.939332331122.531143670.0016.59266.70142907.6750.679212.31312.501263977.9781817665.4721346450.37653.48108.8159.3936383816347380647.362351988.901731133.5770.784.011.047.6013.795.353.2714.221.0943742350.620.611.61819213.843.187.264.721.7750.10.81810.29144.5211.523OpenBenchmarking.org

Polyhedron Fortran Benchmarks

Benchmark: tfft2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2EPYC 7F52Linux 5.10.3132639526521.7957.63

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.30.30060.60120.90181.20241.503SE +/- 0.010953, N = 3SE +/- 0.004643, N = 30.7720581.335930MIN: 0.72MIN: 1.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 19724.55, N = 15SE +/- 7581.95, N = 31915545.961228236.411. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: CPUEPYC 7F52Linux 5.10.31.07712.15423.23134.30845.3855SE +/- 0.01620, N = 3SE +/- 0.02803, N = 33.294034.78691MIN: 3.12MIN: 4.621. (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: CPUEPYC 7F52Linux 5.10.30.21080.42160.63240.84321.054SE +/- 0.003167, N = 3SE +/- 0.009336, N = 30.6759150.937089MIN: 0.64MIN: 0.891. (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: CPUEPYC 7F52Linux 5.10.30.7071.4142.1212.8283.535SE +/- 0.01483, N = 3SE +/- 0.00548, N = 32.367523.14201MIN: 2.3MIN: 3.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Stress-NG

Test: Forking

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7F52Linux 5.10.312K24K36K48K60KSE +/- 229.33, N = 3SE +/- 139.19, N = 356181.2844312.121. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: System V Message Passing

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7F52Linux 5.10.32M4M6M8M10MSE +/- 128008.77, N = 15SE +/- 112749.98, N = 310610267.698395010.731. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.30.54181.08361.62542.16722.709SE +/- 0.01148, N = 3SE +/- 0.02630, N = 52.005192.40810MIN: 1.87MIN: 2.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: CPUEPYC 7F52Linux 5.10.30.73281.46562.19842.93123.664SE +/- 0.01184, N = 3SE +/- 0.04703, N = 152.763213.25673MIN: 2.65MIN: 2.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPUEPYC 7F52Linux 5.10.31.06582.13163.19744.26325.329SE +/- 0.05484, N = 3SE +/- 0.04867, N = 154.038014.73706MIN: 3.84MIN: 4.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: CPUEPYC 7F52Linux 5.10.3246810SE +/- 0.07217, N = 3SE +/- 0.01174, N = 35.556826.22877MIN: 5.13MIN: 6.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7F52Linux 5.10.3246810SE +/- 0.01, N = 3SE +/- 0.04, N = 37.768.69

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: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 6.20, N = 3SE +/- 4.81, N = 31992.602211.73MIN: 1974.03MIN: 2193.81. (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: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 1.98, N = 3SE +/- 10.97, N = 32006.802220.50MIN: 1996.47MIN: 2191.851. (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: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 7.07, N = 3SE +/- 9.42, N = 31994.622192.82MIN: 1976.29MIN: 2169.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPUEPYC 7F52Linux 5.10.330060090012001500SE +/- 1.05, N = 3SE +/- 1.69, N = 31068.481169.57MIN: 1062.66MIN: 1161.341. (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: CPUEPYC 7F52Linux 5.10.330060090012001500SE +/- 1.57, N = 3SE +/- 9.31, N = 31069.391162.78MIN: 1062.1MIN: 1139.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPUEPYC 7F52Linux 5.10.32004006008001000SE +/- 2.50, N = 3SE +/- 11.57, N = 31057.421148.93MIN: 1047.72MIN: 1133.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Stress-NG

Test: MMAP

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPEPYC 7F52Linux 5.10.350100150200250SE +/- 0.32, N = 3SE +/- 0.19, N = 3229.80248.171. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 22488.85, N = 15SE +/- 18986.94, N = 151753884.371630009.811. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceEPYC 7F52Linux 5.10.330060090012001500SE +/- 1.33, N = 3SE +/- 1.86, N = 3117112531. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeEPYC 7F52Linux 5.10.33M6M9M12M15MSE +/- 100190.60, N = 3SE +/- 19338.94, N = 315263784.6716277364.24MIN: 798247 / MAX: 56683584MIN: 790262 / MAX: 65640384

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7F52Linux 5.10.360K120K180K240K300KSE +/- 100.47, N = 3SE +/- 302.83, N = 3297122.81280154.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 7F52Linux 5.10.320406080100SE +/- 0.58, N = 3SE +/- 0.45, N = 3105.12110.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeEPYC 7F52Linux 5.10.315M30M45M60M75MSE +/- 788054.78, N = 3SE +/- 168051.69, N = 368692259.8872087200.32MIN: 909007 / MAX: 535870728MIN: 921866 / MAX: 575712792

Stress-NG

Test: MEMFD

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDEPYC 7F52Linux 5.10.3150300450600750SE +/- 0.22, N = 3SE +/- 0.29, N = 3680.78712.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7F52Linux 5.10.360120180240300SE +/- 0.99, N = 3SE +/- 0.75, N = 3252.18264.011. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 43.37, N = 3SE +/- 36.73, N = 310784.4010348.911. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 16740.24, N = 3SE +/- 11341.57, N = 31565518.881503178.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 8EPYC 7F52Linux 5.10.350100150200250SE +/- 0.40, N = 3SE +/- 0.17, N = 3217.41208.911. flow 2020.04

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.10510.21020.31530.42040.5255SE +/- 0.000, N = 3SE +/- 0.001, N = 30.4490.4671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 16

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 16EPYC 7F52Linux 5.10.380160240320400SE +/- 0.72, N = 3SE +/- 0.13, N = 3361.92348.111. flow 2020.04

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7F52Linux 5.10.350100150200250SE +/- 1.03, N = 3SE +/- 0.66, N = 3203.98212.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdEPYC 7F52Linux 5.10.3510152025SE +/- 0.04, N = 15SE +/- 0.23, N = 1221.8921.06MIN: 21.44 / MAX: 101.39MIN: 19.62 / MAX: 77.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 7F52Linux 5.10.31632486480SE +/- 0.10, N = 3SE +/- 0.30, N = 368.3971.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7F52Linux 5.10.3120K240K360K480K600KSE +/- 733.28, N = 3SE +/- 1662.47, N = 35568255364121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7F52Linux 5.10.35K10K15K20K25KSE +/- 156.61, N = 15SE +/- 123.09, N = 322093.9121297.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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: CPUEPYC 7F52Linux 5.10.30.66881.33762.00642.67523.344SE +/- 0.00136, N = 3SE +/- 0.00487, N = 32.868902.97264MIN: 2.83MIN: 2.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

librsvg

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7F52Linux 5.10.3612182430SE +/- 0.05, N = 3SE +/- 0.11, N = 324.2125.081. rsvg-convert version 2.48.2

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 14085.60, N = 3SE +/- 11678.97, N = 61216222.501174489.561. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7F52Linux 5.10.3306090120150SE +/- 0.33, N = 3120116

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassEPYC 7F52Linux 5.10.30.06980.13960.20940.27920.349SE +/- 0.00, N = 3SE +/- 0.00, N = 30.310.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7F52Linux 5.10.3246810SE +/- 0.00, N = 3SE +/- 0.08, N = 36.145.96

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F52Linux 5.10.3306090120150SE +/- 0.02, N = 3SE +/- 0.30, N = 3131.05127.231. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed GDB GNU Debugger Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.04, N = 3SE +/- 0.11, N = 394.1896.98

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7F52Linux 5.10.360120180240300SE +/- 0.71, N = 3SE +/- 2.05, N = 3248.38255.721. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0350.0361. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7F52Linux 5.10.3306090120150SE +/- 1.45, N = 4SE +/- 0.05, N = 3117.38114.131. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Numenta Anomaly Benchmark

Detector: EXPoSE

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEEPYC 7F52Linux 5.10.32004006008001000SE +/- 2.18, N = 3SE +/- 0.49, N = 3756.88778.16

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7F52Linux 5.10.320406080100SE +/- 0.17, N = 3SE +/- 0.03, N = 376.874.71. (CC) gcc options: -O3 -pthread -lz -llzma

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7F52Linux 5.10.370140210280350SE +/- 0.38, N = 3SE +/- 1.23, N = 3293.87301.90

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7F52Linux 5.10.30.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.391. (CXX) g++ options: -O3 -pthread

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7F52Linux 5.10.314002800420056007000SE +/- 58.89, N = 3SE +/- 3.47, N = 36435.736274.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Polyhedron Fortran Benchmarks

Benchmark: test_fpu2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2EPYC 7F52Linux 5.10.371421283532.1231.32

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 33.83, N = 3SE +/- 75.92, N = 38221.58027.81. (CC) gcc options: -O3 -pthread -lz -llzma

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7F52Linux 5.10.348121620SE +/- 0.00, N = 3SE +/- 0.00, N = 317.117.5

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2EPYC 7F52Linux 5.10.391827364538.5937.72

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7F52Linux 5.10.3612182430SE +/- 0.01, N = 3SE +/- 0.24, N = 324.3524.89

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7F52Linux 5.10.3714212835SE +/- 0.25, N = 3SE +/- 0.09, N = 327.2127.80

PlaidML

FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUEPYC 7F52Linux 5.10.33691215SE +/- 0.00, N = 3SE +/- 0.04, N = 310.3910.17

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianEPYC 7F52Linux 5.10.390180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 34194281. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7F52Linux 5.10.3918273645SE +/- 0.06, N = 3SE +/- 0.05, N = 340.4141.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ECP-CANDLE

Benchmark: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1EPYC 7F52Linux 5.10.3140280420560700648.70662.32

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.10, N = 320.2720.69

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 15975.34, N = 15SE +/- 10427.33, N = 151350619.521323358.981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.0230.0460.0690.0920.115SE +/- 0.001, N = 3SE +/- 0.001, N = 150.1020.1001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F52Linux 5.10.31224364860SE +/- 0.32, N = 3SE +/- 0.46, N = 351.7852.811. (CC) gcc options: -O3

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7F52Linux 5.10.32M4M6M8M10MSE +/- 27679.79, N = 3SE +/- 21287.84, N = 38409881.778245888.971. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7F52Linux 5.10.39001800270036004500SE +/- 4.77, N = 3SE +/- 1.61, N = 3423141511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7F52Linux 5.10.30.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.531. (CXX) g++ options: -O3 -pthread

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.00, N = 311.8212.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50EPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 15SE +/- 0.04, N = 1221.3420.94MIN: 20.69 / MAX: 102.24MIN: 20.35 / MAX: 23.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7F52Linux 5.10.31122334455SE +/- 0.36, N = 3SE +/- 0.39, N = 1547.2448.131. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyEPYC 7F52Linux 5.10.3110K220K330K440K550KSE +/- 5689.06, N = 3SE +/- 7128.53, N = 154918275010471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F52Linux 5.10.31.7M3.4M5.1M6.8M8.5MSE +/- 19965.32, N = 3SE +/- 30182.11, N = 3777618976332471. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Stress-NG

Test: NUMA

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAEPYC 7F52Linux 5.10.390180270360450SE +/- 2.52, N = 3SE +/- 0.07, N = 3409.25416.601. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F52Linux 5.10.390K180K270K360K450KSE +/- 3437.31, N = 3SE +/- 1060.81, N = 3432105.73424609.601. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50EPYC 7F52Linux 5.10.3816243240SE +/- 0.05, N = 15SE +/- 0.04, N = 1534.5533.96MIN: 32.75 / MAX: 67.95MIN: 32.06 / MAX: 51.841. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3EPYC 7F52Linux 5.10.3816243240SE +/- 0.23, N = 15SE +/- 0.18, N = 1533.5332.96MIN: 31.39 / MAX: 50.33MIN: 31.71 / MAX: 49.441. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7F52Linux 5.10.31122334455SE +/- 0.32, N = 3SE +/- 0.27, N = 348.347.5

Stress-NG

Test: Semaphores

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7F52Linux 5.10.3500K1000K1500K2000K2500KSE +/- 14921.24, N = 3SE +/- 2645.51, N = 32314681.132278162.651. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1950.1981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pEPYC 7F52Linux 5.10.3120240360480600SE +/- 1.44, N = 3SE +/- 2.05, N = 3533.80541.83MIN: 341.27 / MAX: 581.44MIN: 374.84 / MAX: 590.341. (CC) gcc options: -pthread

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonEPYC 7F52Linux 5.10.3100200300400500SE +/- 0.67, N = 3SE +/- 2.08, N = 3477470

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F52Linux 5.10.3612182430SE +/- 0.27, N = 3SE +/- 0.01, N = 323.3623.02

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetEPYC 7F52Linux 5.10.3510152025SE +/- 0.15, N = 15SE +/- 0.27, N = 1219.2719.55MIN: 17.82 / MAX: 79.15MIN: 17.94 / MAX: 34.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7F52Linux 5.10.3110K220K330K440K550KSE +/- 3559.12, N = 3SE +/- 1764.57, N = 35143075071611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

VP9 libvpx Encoding

Speed: Speed 5

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5EPYC 7F52Linux 5.10.3612182430SE +/- 0.05, N = 3SE +/- 0.10, N = 323.0823.401. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7F52Linux 5.10.3510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 320.9321.221. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7F52Linux 5.10.3510152025SE +/- 0.20, N = 6SE +/- 0.03, N = 321.1820.89MIN: 20.68 / MAX: 22.95MIN: 20.71 / MAX: 22.1

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7F52Linux 5.10.36K12K18K24K30KSE +/- 403.02, N = 3SE +/- 272.58, N = 328273278961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224EPYC 7F52Linux 5.10.3246810SE +/- 0.012, N = 15SE +/- 0.012, N = 156.2086.126MIN: 6.01 / MAX: 21MIN: 5.97 / MAX: 20.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 4

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 4EPYC 7F52Linux 5.10.34080120160200SE +/- 0.45, N = 3SE +/- 0.30, N = 3168.76166.541. flow 2020.04

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7F52Linux 5.10.317K34K51K68K85KSE +/- 117.38, N = 3SE +/- 608.49, N = 377530.4876518.791. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7F52Linux 5.10.350K100K150K200K250K2455162423231. (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

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7F52Linux 5.10.320K40K60K80K100KSE +/- 904.09, N = 3SE +/- 140.42, N = 31068031082091. (CXX) g++ options: -pipe -lpthread

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7F52Linux 5.10.316K32K48K64K80KSE +/- 136.23, N = 3SE +/- 793.90, N = 371667726051. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7F52Linux 5.10.3510152025SE +/- 0.07, N = 3SE +/- 0.08, N = 319.7819.53MIN: 19.53 / MAX: 20.18MIN: 19.27 / MAX: 19.84

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 322.4022.68

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F52Linux 5.10.30.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.00, N = 30.790.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7F52Linux 5.10.3510152025SE +/- 0.09, N = 3SE +/- 0.08, N = 319.1619.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.03, N = 3SE +/- 0.00, N = 383.4484.48

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7F52Linux 5.10.3918273645SE +/- 0.07, N = 3SE +/- 0.06, N = 338.5339.011. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

GNU Octave Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0EPYC 7F52Linux 5.10.3246810SE +/- 0.044, N = 5SE +/- 0.050, N = 57.4027.492

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7F52Linux 5.10.31224364860SE +/- 0.56, N = 4SE +/- 0.36, N = 352.8753.50

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7F52Linux 5.10.35001000150020002500SE +/- 27.65, N = 15SE +/- 17.17, N = 15222722011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.06, N = 320.9921.231. (CC) gcc options: -pthread -fvisibility=hidden -O2

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7F52Linux 5.10.3246810SE +/- 0.023, N = 3SE +/- 0.027, N = 37.5307.446

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pEPYC 7F52Linux 5.10.3130260390520650SE +/- 1.17, N = 3SE +/- 1.10, N = 3574.78581.26MIN: 454.24 / MAX: 710.14MIN: 460.79 / MAX: 716.221. (CC) gcc options: -pthread

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F52Linux 5.10.3130K260K390K520K650KSE +/- 1384.96, N = 3SE +/- 627.03, N = 3618552625441

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: 10000EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1586.66, N = 3SE +/- 1744.82, N = 31211752.01198820.3

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.3306090120150SE +/- 1.44, N = 15SE +/- 0.89, N = 15112.58113.781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.3714212835SE +/- 0.22, N = 3SE +/- 0.32, N = 330.0430.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F52Linux 5.10.3918273645SE +/- 0.04, N = 3SE +/- 0.07, N = 338.1838.561. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F52Linux 5.10.37001400210028003500SE +/- 24.88, N = 3SE +/- 35.07, N = 3333233001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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: CPUEPYC 7F52Linux 5.10.30.41360.82721.24081.65442.068SE +/- 0.00177, N = 3SE +/- 0.00255, N = 31.838441.82157MIN: 1.81MIN: 1.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3EPYC 7F52Linux 5.10.370140210280350SE +/- 0.33, N = 3SE +/- 0.33, N = 3329326

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7F52Linux 5.10.320406080100109110

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7F52Linux 5.10.33006009001200150014211434

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7F52Linux 5.10.3150K300K450K600K750KSE +/- 1877.36, N = 3SE +/- 3903.98, N = 3688169.93694463.101. (CC) gcc options: -O2 -lrt" -lrt

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosEPYC 7F52Linux 5.10.3306090120150113112

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F52Linux 5.10.3714212835SE +/- 0.26, N = 4SE +/- 0.07, N = 430.7831.051. (CC) gcc options: -O2 -std=c99

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkEPYC 7F52Linux 5.10.33691215SE +/- 0.05, N = 3SE +/- 0.08, N = 39.279.351. Nodejs v10.19.0

SVT-AV1

Encoder Mode: Enc Mode 0 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7F52Linux 5.10.30.02630.05260.07890.10520.1315SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1170.1161. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowEPYC 7F52Linux 5.10.3816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 335.0535.351. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7F52Linux 5.10.32004006008001000SE +/- 3.32, N = 3SE +/- 6.61, N = 3977.65969.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 7F52Linux 5.10.3816243240SE +/- 0.02, N = 3SE +/- 0.15, N = 335.9736.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7F52Linux 5.10.36K12K18K24K30KSE +/- 255.78, N = 3SE +/- 33.00, N = 32733427110

x265

Video Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7F52Linux 5.10.31428425670SE +/- 0.06, N = 3SE +/- 0.12, N = 361.7662.271. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7F52Linux 5.10.3130260390520650SE +/- 5.81, N = 3SE +/- 4.04, N = 36196141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsEPYC 7F52Linux 5.10.3612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 324.924.7

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7F52Linux 5.10.3510152025SE +/- 0.12, N = 3SE +/- 0.16, N = 318.7718.62MIN: 18.46 / MAX: 19.39MIN: 17.94 / MAX: 19.11

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7F52Linux 5.10.320406080100SE +/- 0.25, N = 3SE +/- 0.05, N = 383.5282.89

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.30.34250.6851.02751.371.7125SE +/- 0.00269, N = 3SE +/- 0.00375, N = 31.511151.52220MIN: 1.48MIN: 1.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.10, N = 3SE +/- 0.35, N = 375.2675.80

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0EPYC 7F52Linux 5.10.33691215SE +/- 0.03, N = 15SE +/- 0.03, N = 1211.0611.14MIN: 10.67 / MAX: 13.4MIN: 10.78 / MAX: 14.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitEPYC 7F52Linux 5.10.320406080100SE +/- 0.05, N = 3SE +/- 0.07, N = 3110.64111.44MIN: 74.39 / MAX: 217.07MIN: 74.8 / MAX: 220.431. (CC) gcc options: -pthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7F52Linux 5.10.3816243240SE +/- 0.08, N = 3SE +/- 0.06, N = 333.8934.13

LibreOffice

Test: 20 Documents To PDF

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFEPYC 7F52Linux 5.10.3246810SE +/- 0.077, N = 5SE +/- 0.029, N = 57.1587.2081. LibreOffice 6.4.3.2 40(Build:2)

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.01, N = 310.2410.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Polyhedron Fortran Benchmarks

Benchmark: aermod

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodEPYC 7F52Linux 5.10.32468106.126.16

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F52Linux 5.10.3246810SE +/- 0.02, N = 15SE +/- 0.02, N = 127.687.73MIN: 7.21 / MAX: 12.54MIN: 7.28 / MAX: 11.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mEPYC 7F52Linux 5.10.31020304050SE +/- 0.18, N = 15SE +/- 0.14, N = 1244.5144.79MIN: 42.64 / MAX: 117.01MIN: 43.38 / MAX: 124.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PlaidML

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUEPYC 7F52Linux 5.10.30.72231.44462.16692.88923.6115SE +/- 0.01, N = 3SE +/- 0.01, N = 33.193.21

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7F52Linux 5.10.31530456075SE +/- 0.22, N = 3SE +/- 0.02, N = 366.7267.141. (CC) gcc options: -O2 -ldl -lz -lpthread

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7F52Linux 5.10.3306090120150SE +/- 0.76, N = 3SE +/- 0.50, N = 3130.10130.911. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 51.25, N = 3SE +/- 59.35, N = 39947.8010009.491. (CC) gcc options: -O3

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F52Linux 5.10.3246810SE +/- 0.04, N = 15SE +/- 0.07, N = 128.498.44MIN: 7.06 / MAX: 72.31MIN: 6.92 / MAX: 12.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7F52Linux 5.10.30.38930.77861.16791.55721.9465SE +/- 0.02, N = 4SE +/- 0.01, N = 31.731.72

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7F52Linux 5.10.3700140021002800350031893207

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACEPYC 7F52Linux 5.10.3246810SE +/- 0.013, N = 5SE +/- 0.005, N = 58.5628.6101. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

VP9 libvpx Encoding

Speed: Speed 0

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0EPYC 7F52Linux 5.10.3246810SE +/- 0.01, N = 3SE +/- 0.00, N = 37.167.201. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7F52Linux 5.10.38001600240032004000SE +/- 24.75, N = 3SE +/- 16.52, N = 3380337821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7F52Linux 5.10.39M18M27M36M45MSE +/- 336403.00, N = 3SE +/- 142195.68, N = 341016145.241240132.3

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceEPYC 7F52Linux 5.10.30.83031.66062.49093.32124.1515SE +/- 0.02, N = 15SE +/- 0.02, N = 123.693.67MIN: 3.52 / MAX: 75.15MIN: 3.53 / MAX: 4.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7F52Linux 5.10.34080120160200SE +/- 1.00, N = 3SE +/- 0.78, N = 3162.77163.651. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7F52Linux 5.10.31.21232.42463.63694.84926.0615SE +/- 0.023, N = 3SE +/- 0.009, N = 35.3605.3881. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Polyhedron Fortran Benchmarks

Benchmark: channel2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2EPYC 7F52Linux 5.10.3102030405042.5242.30

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7F52Linux 5.10.350100150200250SE +/- 0.60, N = 3SE +/- 0.38, N = 3217.81218.94MIN: 1 / MAX: 765MIN: 1 / MAX: 772

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7F52Linux 5.10.330K60K90K120K150KSE +/- 356.27, N = 3SE +/- 388.72, N = 3127275126619

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F52Linux 5.10.30.25830.51660.77491.03321.2915SE +/- 0.00082, N = 3SE +/- 0.00649, N = 31.142261.14801

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F52Linux 5.10.360120180240300SE +/- 0.77, N = 3SE +/- 0.25, N = 3263.04264.36MIN: 260.98 / MAX: 265.86MIN: 261.25 / MAX: 266.061. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16EPYC 7F52Linux 5.10.3714212835SE +/- 0.03, N = 15SE +/- 0.04, N = 1230.1730.02MIN: 29.55 / MAX: 90.42MIN: 29.27 / MAX: 43.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7F52Linux 5.10.3612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 324.4424.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7F52Linux 5.10.32004006008001000SE +/- 1.60, N = 3SE +/- 1.78, N = 31090.641085.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 320.6020.691. (CC) gcc options: -O2 -ffast-math -fsigned-char

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 18.07, N = 8SE +/- 25.66, N = 310768.210815.31. (CC) gcc options: -O3

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: 10000EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1494.65, N = 3SE +/- 2047.76, N = 31425736.11419536.4

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7F52Linux 5.10.310M20M30M40M50MSE +/- 250444.78, N = 3SE +/- 434223.37, N = 34624079746441653

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 40.67, N = 3SE +/- 4.82, N = 310898.410851.61. (CC) gcc options: -O3

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.21, N = 320.9721.06MIN: 20.82 / MAX: 22.27MIN: 20.53 / MAX: 22.46

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7F52Linux 5.10.3110K220K330K440K550KSE +/- 436.80, N = 3SE +/- 203.22, N = 3512936.21510793.921. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F52Linux 5.10.30.54451.0891.63352.1782.7225SE +/- 0.00, N = 3SE +/- 0.00, N = 32.422.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7F52Linux 5.10.3816243240SE +/- 0.23, N = 3SE +/- 0.06, N = 334.1233.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F52Linux 5.10.348121620SE +/- 0.07, N = 3SE +/- 0.08, N = 317.5017.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.01, N = 310.0610.101. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goEPYC 7F52Linux 5.10.360120180240300254253

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7F52Linux 5.10.3246810SE +/- 0.012, N = 3SE +/- 0.008, N = 37.7617.731

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyEPYC 7F52Linux 5.10.3612182430SE +/- 0.13, N = 15SE +/- 0.21, N = 1225.9425.84MIN: 25.13 / MAX: 86.32MIN: 24.84 / MAX: 30.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7F52Linux 5.10.30.53421.06841.60262.13682.671SE +/- 0.003, N = 3SE +/- 0.002, N = 32.3652.3741. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.30.05940.11880.17820.23760.297SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2630.2641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

GraphicsMagick

Operation: Resizing

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7F52Linux 5.10.330060090012001500SE +/- 18.67, N = 3SE +/- 9.84, N = 3159715911. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

ECP-CANDLE

Benchmark: P3B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2EPYC 7F52Linux 5.10.32004006008001000899.42896.05

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F52Linux 5.10.380160240320400SE +/- 1.66, N = 3SE +/- 0.27, N = 3367.10368.45

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0EPYC 7F52Linux 5.10.3246810SE +/- 0.012, N = 15SE +/- 0.007, N = 156.5756.551MIN: 6.41 / MAX: 20.06MIN: 6.45 / MAX: 22.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7F52Linux 5.10.313002600390052006500SE +/- 22.12, N = 3SE +/- 5.69, N = 36244.336266.841. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100EPYC 7F52Linux 5.10.340K80K120K160K200KSE +/- 222.17, N = 3SE +/- 172.36, N = 31816521810081. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7F52Linux 5.10.320K40K60K80K100KSE +/- 100.09, N = 3SE +/- 226.53, N = 399888.44100233.061. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7F52Linux 5.10.31020304050SE +/- 0.50, N = 4SE +/- 0.51, N = 445.1245.27

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.30.6841.3682.0522.7363.42SE +/- 0.02, N = 3SE +/- 0.01, N = 33.043.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.30.69081.38162.07242.76323.454SE +/- 0.00, N = 3SE +/- 0.01, N = 33.063.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7F52Linux 5.10.380K160K240K320K400KSE +/- 75.84, N = 3SE +/- 312.30, N = 33639983628411. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7F52Linux 5.10.315K30K45K60K75KSE +/- 46.97, N = 3SE +/- 59.93, N = 368415.068630.9

Polyhedron Fortran Benchmarks

Benchmark: ac

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acEPYC 7F52Linux 5.10.32468106.536.51

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7F52Linux 5.10.320406080100SE +/- 0.29, N = 3SE +/- 0.08, N = 3108.00108.33

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 42.92, N = 3SE +/- 30.69, N = 311455.811490.61. (CC) gcc options: -O3

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1084.27, N = 3SE +/- 1266.68, N = 314945901499017

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7F52Linux 5.10.315K30K45K60K75KSE +/- 53.57, N = 3SE +/- 9.17, N = 369832.470037.4

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7F52Linux 5.10.330K60K90K120K150KSE +/- 359.19, N = 3SE +/- 381.87, N = 31436221440391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7F52Linux 5.10.3246810SE +/- 0.01, N = 3SE +/- 0.01, N = 36.896.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.36001200180024003000SE +/- 1.99, N = 3SE +/- 3.43, N = 32582.882590.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7F52Linux 5.10.30.78751.5752.36253.153.9375SE +/- 0.01, N = 3SE +/- 0.01, N = 33.493.50MIN: 3.42 / MAX: 3.52MIN: 3.43 / MAX: 3.52

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetEPYC 7F52Linux 5.10.3246810SE +/- 0.08, N = 15SE +/- 0.09, N = 127.037.01MIN: 6.6 / MAX: 43.31MIN: 6.57 / MAX: 10.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Polyhedron Fortran Benchmarks

Benchmark: capacita

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaEPYC 7F52Linux 5.10.34812162017.6117.56

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetEPYC 7F52Linux 5.10.348121620SE +/- 0.06, N = 15SE +/- 0.14, N = 1217.6517.70MIN: 17.22 / MAX: 117.52MIN: 17.12 / MAX: 260.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7F52Linux 5.10.340080012001600200017681773

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7F52Linux 5.10.380160240320400SE +/- 0.32, N = 3SE +/- 0.30, N = 3354.80355.80

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7F52Linux 5.10.30.56211.12421.68632.24842.8105SE +/- 0.001, N = 3SE +/- 0.000, N = 32.4982.4911. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1EPYC 7F52Linux 5.10.30.08330.16660.24990.33320.4165SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3690.370

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7F52Linux 5.10.30.84381.68762.53143.37524.219SE +/- 0.01, N = 3SE +/- 0.01, N = 33.743.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7F52Linux 5.10.3714212835SE +/- 0.13, N = 3SE +/- 0.12, N = 330.0429.96

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F52Linux 5.10.33691215SE +/- 0.079, N = 3SE +/- 0.021, N = 39.0099.0331. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7F52Linux 5.10.312K24K36K48K60KSE +/- 72.75, N = 3SE +/- 97.98, N = 356912.7456766.001. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.30.90451.8092.71353.6184.5225SE +/- 0.00, N = 3SE +/- 0.01, N = 34.024.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7F52Linux 5.10.350100150200250SE +/- 0.22, N = 3SE +/- 0.12, N = 3239.80239.22

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 320.3820.43

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzEPYC 7F52Linux 5.10.3510152025SE +/- 0.06, N = 4SE +/- 0.03, N = 420.4320.48

Stress-NG

Test: Glibc Qsort Data Sorting

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7F52Linux 5.10.360120180240300SE +/- 0.99, N = 3SE +/- 0.93, N = 3269.57268.941. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7F52Linux 5.10.310002000300040005000SE +/- 0.84, N = 3SE +/- 5.74, N = 34565.974555.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 319.6419.59MIN: 18.92 / MAX: 19.94MIN: 18.78 / MAX: 19.96

Polyhedron Fortran Benchmarks

Benchmark: gas_dyn2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2EPYC 7F52Linux 5.10.3102030405044.1644.26

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceEPYC 7F52Linux 5.10.3100200300400500SE +/- 0.33, N = 3SE +/- 0.58, N = 3475476

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7F52Linux 5.10.3246810SE +/- 0.007, N = 3SE +/- 0.006, N = 37.7327.7161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC 7F52Linux 5.10.30.32940.65880.98821.31761.647SE +/- 0.003, N = 3SE +/- 0.001, N = 31.4641.461

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7F52Linux 5.10.320K40K60K80K100KSE +/- 36.86, N = 3SE +/- 86.53, N = 3106296106510

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.36001200180024003000SE +/- 3.48, N = 3SE +/- 2.25, N = 32600.352605.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7F52Linux 5.10.360120180240300SE +/- 0.53, N = 3SE +/- 0.42, N = 3274.97275.51MIN: 272.73 / MAX: 289.81MIN: 272.98 / MAX: 294.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Polyhedron Fortran Benchmarks

Benchmark: fatigue2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2EPYC 7F52Linux 5.10.3122436486052.3152.21

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC 7F52Linux 5.10.30.71821.43642.15462.87283.591SE +/- 0.002, N = 3SE +/- 0.003, N = 33.1863.192

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18EPYC 7F52Linux 5.10.33691215SE +/- 0.03, N = 15SE +/- 0.04, N = 1210.6910.71MIN: 10.34 / MAX: 13.84MIN: 10.34 / MAX: 64.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

DeepSpeech

Acceleration: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7F52Linux 5.10.31530456075SE +/- 0.20, N = 3SE +/- 0.08, N = 368.2968.17

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC 7F52Linux 5.10.310002000300040005000SE +/- 0.76, N = 3SE +/- 0.71, N = 34571.44579.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 16.24, N = 3SE +/- 5.75, N = 39935.559953.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1087.40, N = 3SE +/- 1103.67, N = 313439201346243

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7F52Linux 5.10.3510152025SE +/- 0.07, N = 3SE +/- 0.04, N = 319.5219.55

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7F52Linux 5.10.3510152025SE +/- 0.00, N = 3SE +/- 0.02, N = 320.1320.101. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.3400800120016002000SE +/- 2.66, N = 3SE +/- 2.14, N = 31986.911989.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.01, N = 312.2712.261. (CXX) g++ options: -O3 -pthread -lm

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC 7F52Linux 5.10.350100150200250SE +/- 0.89, N = 3SE +/- 0.24, N = 3227.67227.34MIN: 160.75 / MAX: 250.13MIN: 166.45 / MAX: 246.551. (CC) gcc options: -pthread

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUEPYC 7F52Linux 5.10.348121620SE +/- 0.10, N = 3SE +/- 0.09, N = 314.5314.51

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUEPYC 7F52Linux 5.10.3140280420560700SE +/- 2.99, N = 3SE +/- 2.01, N = 3665.88666.79

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 2962.73, N = 3SE +/- 3179.80, N = 3172633317286671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 1EPYC 7F52Linux 5.10.380160240320400SE +/- 1.92, N = 3SE +/- 0.73, N = 3365.37364.941. flow 2020.04

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7F52Linux 5.10.32004006008001000SE +/- 1.20, N = 3SE +/- 0.33, N = 38968951. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2EPYC 7F52Linux 5.10.33691215SE +/- 0.02, N = 15SE +/- 0.02, N = 128.988.97MIN: 8.73 / MAX: 14.04MIN: 8.55 / MAX: 22.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7F52Linux 5.10.320406080100SE +/- 0.72, N = 3SE +/- 0.55, N = 376.8376.75

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7F52Linux 5.10.3510152025SE +/- 0.11, N = 3SE +/- 0.03, N = 320.4120.42MIN: 19.42 / MAX: 20.8MIN: 19.57 / MAX: 20.77

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 CompressionEPYC 7F52Linux 5.10.3816243240SE +/- 0.04, N = 3SE +/- 0.05, N = 336.3136.281. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: CPUEPYC 7F52Linux 5.10.31.24372.48743.73114.97486.2185SE +/- 0.02675, N = 3SE +/- 0.01913, N = 35.522805.52758MIN: 5.32MIN: 5.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Polyhedron Fortran Benchmarks

Benchmark: induct2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2EPYC 7F52Linux 5.10.361218243023.7923.81

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7F52Linux 5.10.348121620SE +/- 0.02, N = 3SE +/- 0.17, N = 314.4714.48

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackEPYC 7F52Linux 5.10.348121620SE +/- 0.01, N = 5SE +/- 0.01, N = 513.7513.741. (CXX) g++ options: -rdynamic

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 6.06, N = 3SE +/- 5.41, N = 39974.709966.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7F52Linux 5.10.3246810SE +/- 0.004, N = 3SE +/- 0.008, N = 37.9337.9391. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Stress-NG

Test: Malloc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7F52Linux 5.10.370M140M210M280M350MSE +/- 811855.41, N = 3SE +/- 693009.74, N = 3332554816.83332331122.531. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Glibc C String Functions

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7F52Linux 5.10.3200K400K600K800K1000KSE +/- 2051.22, N = 3SE +/- 2853.73, N = 31144375.851143670.001. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Polyhedron Fortran Benchmarks

Benchmark: rnflow

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowEPYC 7F52Linux 5.10.34812162016.6016.59

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7F52Linux 5.10.360120180240300SE +/- 1.48, N = 3SE +/- 0.33, N = 3266.54266.70

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7F52Linux 5.10.330K60K90K120K150KSE +/- 6.50, N = 3SE +/- 19.82, N = 3142981.97142907.671. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F52Linux 5.10.31122334455SE +/- 0.07, N = 3SE +/- 0.25, N = 350.7050.68

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 2EPYC 7F52Linux 5.10.350100150200250SE +/- 0.16, N = 3SE +/- 0.34, N = 3212.22212.311. flow 2020.04

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APEEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 5SE +/- 0.01, N = 512.5112.501. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7F52Linux 5.10.36K12K18K24K30KSE +/- 5.78, N = 3SE +/- 6.17, N = 326390263971. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeEPYC 7F52Linux 5.10.3246810SE +/- 0.016, N = 5SE +/- 0.012, N = 57.9807.9781. (CXX) g++ options: -fvisibility=hidden -logg -lm

OpenVKL

Benchmark: vklBenchmarkUnstructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 2560.46, N = 3SE +/- 1848.12, N = 31818093.891817665.47MIN: 19110 / MAX: 6113054MIN: 19297 / MAX: 6122055

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileEPYC 7F52Linux 5.10.3100200300400500SE +/- 0.56, N = 3SE +/- 1.29, N = 3450.48450.38

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F52Linux 5.10.31224364860SE +/- 0.46, N = 8SE +/- 0.44, N = 353.4953.481. (CC) gcc options: -O3

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7F52Linux 5.10.320406080100SE +/- 0.13, N = 3SE +/- 0.12, N = 3108.83108.811. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Polyhedron Fortran Benchmarks

Benchmark: mp_prop_design

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designEPYC 7F52Linux 5.10.3132639526559.3859.39

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7F52Linux 5.10.38M16M24M32M40MSE +/- 300939.62, N = 3SE +/- 178225.83, N = 336388251363838161. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F52Linux 5.10.370M140M210M280M350MSE +/- 82650.29, N = 3SE +/- 37054.68, N = 3347415262.13347380647.361. (CC) gcc options: -O3 -march=native -lm

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.3400800120016002000SE +/- 1.96, N = 3SE +/- 2.02, N = 31988.751988.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7F52Linux 5.10.34080120160200173173

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7F52Linux 5.10.3306090120150113113

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7F52Linux 5.10.30.80481.60962.41443.21924.024SE +/- 0.009, N = 3SE +/- 0.002, N = 33.5773.577

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F52Linux 5.10.30.17550.3510.52650.7020.8775SE +/- 0.00, N = 3SE +/- 0.00, N = 30.780.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.30.90231.80462.70693.60924.5115SE +/- 0.01, N = 3SE +/- 0.00, N = 34.014.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

PlaidML

FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: CPUEPYC 7F52Linux 5.10.30.2340.4680.7020.9361.17SE +/- 0.00, N = 3SE +/- 0.00, N = 31.041.04

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetEPYC 7F52Linux 5.10.3246810SE +/- 0.02, N = 15SE +/- 0.02, N = 127.607.60MIN: 6.99 / MAX: 10.58MIN: 7.34 / MAX: 8.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7F52Linux 5.10.348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 313.7913.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7F52Linux 5.10.31.20382.40763.61144.81526.019SE +/- 0.01, N = 3SE +/- 0.00, N = 35.355.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7F52Linux 5.10.30.73581.47162.20742.94323.679SE +/- 0.01, N = 3SE +/- 0.01, N = 33.273.27MIN: 3.12 / MAX: 3.42MIN: 3.17 / MAX: 3.42

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7F52Linux 5.10.348121620SE +/- 0.04, N = 3SE +/- 0.04, N = 314.2214.22

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5EPYC 7F52Linux 5.10.30.24620.49240.73860.98481.231SE +/- 0.001, N = 3SE +/- 0.001, N = 31.0941.094

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedEPYC 7F52Linux 5.10.380160240320400SE +/- 0.33, N = 3SE +/- 0.33, N = 33743741. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -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: SharpenEPYC 7F52Linux 5.10.350100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 32352351. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7F52Linux 5.10.30.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.621. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7F52Linux 5.10.30.13730.27460.41190.54920.6865SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.611. (CXX) g++ options: -O3 -pthread

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC 7F52Linux 5.10.30.36410.72821.09231.45641.8205SE +/- 0.001, N = 3SE +/- 0.001, N = 31.6181.6181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7F52Linux 5.10.340801201602001921921. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Polyhedron Fortran Benchmarks

Benchmark: protein

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinEPYC 7F52Linux 5.10.34812162013.8413.84

Polyhedron Fortran Benchmarks

Benchmark: linpk

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkEPYC 7F52Linux 5.10.30.71551.4312.14652.8623.57753.183.18

Polyhedron Fortran Benchmarks

Benchmark: doduc

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducEPYC 7F52Linux 5.10.32468107.267.26

Polyhedron Fortran Benchmarks

Benchmark: mdbx

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxEPYC 7F52Linux 5.10.31.0622.1243.1864.2485.314.724.72

Polyhedron Fortran Benchmarks

Benchmark: air

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airEPYC 7F52Linux 5.10.30.39830.79661.19491.59321.99151.771.77

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupEPYC 7F52Linux 5.10.31122334455SE +/- 0.21, N = 3SE +/- 0.09, N = 350.150.11. (CC) gcc options: -fopenmp -O3 -lm

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC 7F52Linux 5.10.30.18450.3690.55350.7380.9225SE +/- 0.008, N = 3SE +/- 0.013, N = 150.8200.818MIN: 0.56 / MAX: 1.43MIN: 0.58 / MAX: 1.49

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0EPYC 7F52Linux 5.10.33691215SE +/- 0.24, N = 15SE +/- 0.11, N = 1510.9310.29MIN: 9.63 / MAX: 23.96MIN: 9.72 / MAX: 23.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7F52Linux 5.10.31020304050SE +/- 1.52, N = 12SE +/- 1.40, N = 1544.8644.521. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7F52Linux 5.10.33691215SE +/- 0.16, N = 15SE +/- 0.24, N = 1511.6811.521. (CXX) g++ options: -O3 -pthread -lm


Phoronix Test Suite v10.8.4