ddd

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon 16GB on Ubuntu 23.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2311277-PTS-DDD6902111&grs&rdt.

dddProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionabAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon 16GB (2124/1218MHz)AMD Navi 31 HDMI/DPDELL U2723QEIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.106.6.0-phx-bcachefs (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0 + LLVM 16.0.6ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203 Java Details- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)Python Details- Python 3.11.6Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ddddacapobench: FOP Print Formatterdacapobench: PMD Source Code Analyzerdacapobench: H2O In-Memory Platform For Machine Learningdacapobench: Apache Lucene Search Enginedacapobench: Apache Lucene Search Indexpytorch: CPU - 32 - ResNet-152dacapobench: H2 Database Enginedacapobench: Tradesoappytorch: CPU - 256 - ResNet-152dacapobench: Batik SVG Toolkitpytorch: CPU - 64 - Efficientnet_v2_ldacapobench: Avrora AVR Simulation Frameworkpytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 64 - ResNet-152ffmpeg: libx265 - Livedacapobench: Spring Bootdacapobench: Apache Xalan XSLTffmpeg: libx264 - Uploadpytorch: CPU - 512 - ResNet-50pytorch: CPU - 512 - Efficientnet_v2_ldacapobench: Jythonwebp2: Defaultdacapobench: BioJava Biological Data Frameworkdacapobench: GraphChiwebp2: Quality 100, Compression Effort 5dacapobench: Zxing 1D/2D Barcode Image Processingpytorch: CPU - 1 - Efficientnet_v2_lffmpeg: libx265 - Platformembree: Pathtracer - Asian Dragonjava-scimark2: Sparse Matrix Multiplydacapobench: Apache Cassandrapytorch: CPU - 64 - ResNet-50pytorch: CPU - 512 - ResNet-152embree: Pathtracer - Crownpytorch: CPU - 16 - Efficientnet_v2_ldacapobench: Eclipsepytorch: CPU - 16 - ResNet-50build-ffmpeg: Time To Compileblender: Pabellon Barcelona - CPU-Onlydacapobench: Tradebeansffmpeg: libx264 - Liveembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objdacapobench: Apache Tomcatpytorch: CPU - 256 - Efficientnet_v2_lblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyjava-scimark2: Fast Fourier Transformjava-scimark2: Monte Carloopenssl: SHA256openssl: RSA4096pytorch: CPU - 256 - ResNet-50embree: Pathtracer ISPC - Asian Dragon Objpytorch: CPU - 16 - ResNet-152pytorch: CPU - 32 - ResNet-50embree: Pathtracer ISPC - Crownffmpeg: libx265 - Uploadjava-scimark2: Compositeffmpeg: libx264 - Platformjava-scimark2: Dense LU Matrix Factorizationpytorch: CPU - 32 - Efficientnet_v2_lopenssl: SHA512blender: Classroom - CPU-Onlyffmpeg: libx265 - Video On Demanddacapobench: jMonkeyEngineffmpeg: libx264 - Video On Demanddacapobench: Apache Kafkablender: BMW27 - CPU-Onlyopenssl: RSA4096webp2: Quality 100, Lossless Compressionwebp2: Quality 95, Compression Effort 7webp2: Quality 75, Compression Effort 7java-scimark2: Jacobi Successive Over-Relaxationopenssl: ChaCha20ab407110422781223252620.791721236120.90100912.70303075.0130.9920.46189.62132946918.2149.5112.76365914.62437621319.8761616.4375.3333.17863936.57544250.6620.8232.836412.62709850.0522.121158.373370308.9235.102529.3398337712.6764.18464.43470.522346.343610049103015089.650.3829.914420.9650.2333.804236.725660.5870.5818996.7312.6311690406590130.6575.21680670.72629751.34393292.90.040.170.352552.76382116823831267261420.101667229720.3898512.41310076.7430.3520.87193.02130646118.5250.3412.58360814.82433321129.7962116.5674.8132.95093912.13547350.3920.9332.669812.56706649.8322.214159.013383307.7534.973829.2337338912.6364463.31471.562351.473617244904015061.350.2929.861320.9350.3033.758236.775653.5570.5018979.8312.6211681461040130.7475.16680970.75629951.33393267.40.040.170.352552.76OpenBenchmarking.org

DaCapo Benchmark

Java Test: FOP Print Formatter

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: FOP Print Formatterab90180270360450407382

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code Analyzerab3006009001200150011041168

DaCapo Benchmark

Java Test: H2O In-Memory Platform For Machine Learning

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2O In-Memory Platform For Machine Learningab500100015002000250022782383

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Engineab3006009001200150012231267

DaCapo Benchmark

Java Test: Apache Lucene Search Index

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search Indexab600120018002400300025262614

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152ab51015202520.7920.10MIN: 20.64 / MAX: 21.1MIN: 19.91 / MAX: 20.3

DaCapo Benchmark

Java Test: H2 Database Engine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database Engineab40080012001600200017211667

DaCapo Benchmark

Java Test: Tradesoap

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradesoapab500100015002000250023612297

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152ab51015202520.9020.38MIN: 20.7 / MAX: 21.03MIN: 19.99 / MAX: 20.49

DaCapo Benchmark

Java Test: Batik SVG Toolkit

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG Toolkitab20040060080010001009985

PyTorch

Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lab369121512.7012.41MIN: 10.84 / MAX: 12.99MIN: 11.09 / MAX: 12.69

DaCapo Benchmark

Java Test: Avrora AVR Simulation Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation Frameworkab700140021002800350030303100

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50ab2040608010075.0176.74MIN: 72.04 / MAX: 75.41MIN: 72.34 / MAX: 77.21

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152ab71421283530.9930.35MIN: 30.53 / MAX: 31.3MIN: 29.88 / MAX: 30.69

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152ab51015202520.4620.87MIN: 20.27 / MAX: 20.53MIN: 16.38 / MAX: 21.04

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Liveab4080120160200189.62193.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

Java Test: Spring Boot

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Spring Bootab3006009001200150013291306

DaCapo Benchmark

Java Test: Apache Xalan XSLT

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Xalan XSLTab100200300400500469461

FFmpeg

Encoder: libx264 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Uploadab51015202518.2118.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50ab112233445549.5150.34MIN: 48.66 / MAX: 50.72MIN: 48.97 / MAX: 51.11

PyTorch

Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lab369121512.7612.58MIN: 10.03 / MAX: 13.12MIN: 10.87 / MAX: 12.88

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Jythonab800160024003200400036593608

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Defaultab4812162014.6214.821. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

DaCapo Benchmark

Java Test: BioJava Biological Data Framework

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: BioJava Biological Data Frameworkab900180027003600450043764333

DaCapo Benchmark

Java Test: GraphChi

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: GraphChiab500100015002000250021312112

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5ab36912159.879.791. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

DaCapo Benchmark

Java Test: Zxing 1D/2D Barcode Image Processing

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image Processingab130260390520650616621

PyTorch

Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lab4812162016.4316.56MIN: 16.28 / MAX: 16.49MIN: 16.45 / MAX: 16.68

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Platformab2040608010075.3374.811. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragonab81624324033.1832.95MIN: 33.04 / MAX: 33.52MIN: 32.74 / MAX: 33.58

Java SciMark

Computational Test: Sparse Matrix Multiply

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix Multiplyab80016002400320040003936.573912.13

DaCapo Benchmark

Java Test: Apache Cassandra

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Cassandraab1200240036004800600054425473

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50ab112233445550.6650.39MIN: 48.86 / MAX: 50.9MIN: 48.74 / MAX: 51.32

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152ab51015202520.8220.93MIN: 16.95 / MAX: 20.98MIN: 20.74 / MAX: 21.15

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crownab81624324032.8432.67MIN: 32.59 / MAX: 33.55MIN: 32.39 / MAX: 33.37

PyTorch

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lab369121512.6212.56MIN: 11.04 / MAX: 12.93MIN: 10.87 / MAX: 12.85

DaCapo Benchmark

Java Test: Eclipse

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Eclipseab1500300045006000750070987066

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50ab112233445550.0549.83MIN: 48.65 / MAX: 50.82MIN: 48.35 / MAX: 50.41

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compileab51015202522.1222.21

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-Onlyab4080120160200158.37159.01

DaCapo Benchmark

Java Test: Tradebeans

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradebeansab700140021002800350033703383

FFmpeg

Encoder: libx264 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Liveab70140210280350308.92307.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonab81624324035.1034.97MIN: 34.82 / MAX: 36.02MIN: 34.65 / MAX: 36.25

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objab71421283529.3429.23MIN: 29.18 / MAX: 29.77MIN: 29.04 / MAX: 29.74

DaCapo Benchmark

Java Test: Apache Tomcat

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Tomcatab700140021002800350033773389

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lab369121512.6712.63MIN: 10.93 / MAX: 12.96MIN: 11.11 / MAX: 12.89

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-Onlyab142842567064.1864.00

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-Onlyab100200300400500464.43463.31

Java SciMark

Computational Test: Fast Fourier Transform

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier Transformab100200300400500470.52471.56

Java SciMark

Computational Test: Monte Carlo

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte Carloab50010001500200025002346.342351.47

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256ab8000M16000M24000M32000M40000M36100491030361724490401. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096ab3K6K9K12K15K15089.615061.31. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50ab112233445550.3850.29MIN: 48.86 / MAX: 50.92MIN: 48.52 / MAX: 50.96

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objab71421283529.9129.86MIN: 29.62 / MAX: 30.89MIN: 29.6 / MAX: 30.48

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152ab51015202520.9620.93MIN: 20.69 / MAX: 21.16MIN: 20.49 / MAX: 21.22

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50ab112233445550.2350.30MIN: 48.58 / MAX: 51.94MIN: 48.87 / MAX: 50.97

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownab81624324033.8033.76MIN: 33.47 / MAX: 34.6MIN: 33.43 / MAX: 34.72

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Uploadab81624324036.7236.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Java SciMark

Computational Test: Composite

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Compositeab120024003600480060005660.585653.55

FFmpeg

Encoder: libx264 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Platformab163248648070.5870.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Java SciMark

Computational Test: Dense LU Matrix Factorization

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix Factorizationab4K8K12K16K20K18996.7318979.83

PyTorch

Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lab369121512.6312.62MIN: 11.17 / MAX: 12.9MIN: 10.81 / MAX: 12.87

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512ab3000M6000M9000M12000M15000M11690406590116814610401. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-Onlyab306090120150130.65130.74

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On Demandab2040608010075.2175.161. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

Java Test: jMonkeyEngine

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: jMonkeyEngineab1500300045006000750068066809

FFmpeg

Encoder: libx264 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Video On Demandab163248648070.7270.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

Java Test: Apache Kafka

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Kafkaab1400280042005600700062976299

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-Onlyab122436486051.3451.33

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096ab80K160K240K320K400K393292.9393267.41. OpenSSL 3.0.10 1 Aug 2023 (Library: OpenSSL 3.0.10 1 Aug 2023)

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless Compressionab0.0090.0180.0270.0360.0450.040.041. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7ab0.03830.07660.11490.15320.19150.170.171. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7ab0.07880.15760.23640.31520.3940.350.351. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Java SciMark

Computational Test: Jacobi Successive Over-Relaxation

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-Relaxationab50010001500200025002552.762552.76


Phoronix Test Suite v10.8.5