one one

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310140-PTS-ONEONE4432
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one oneOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Ubuntu 23.046.2.0-32-generic (x86_64)GNOME Shell 44.0X Server + Wayland4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49)GCC 12.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOne One BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-DAPbBt/gcc-12-12.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-DAPbBt/gcc-12-12.3.0/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-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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%102%104%105%oneDNNEmbreeOpenVKLIntel Open Image Denoise

one oneopenvkl: vklBenchmarkCPU ISPCopenvkl: vklBenchmarkCPU Scalaronednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragon Objoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUembree: Pathtracer - Crownonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUabcd7444259669.714014.44010.951007857.633848.0830.6735.768336.07931.361.369.688781.6271341.410541.958148.6612.505842.4636753.68835.901211.08281.013636.50022.14010.9889337314104010.424014.693996.22849.771857.243853.4580.6735.397235.69581.361.369.529531.6837440.962641.370647.53842.366772.2870752.70096.017171.082551.027356.505512.12441.000087414104008.224014.724012.8857.774850.832845.9210.6634.836135.53651.351.359.752111.6576440.569840.183346.82662.506462.4118151.46536.323921.067280.9769716.536472.130610.9889527434104006.874003.113998.33848.697853.262850.2260.6634.904835.14871.351.359.628711.6701640.397340.631447.1842.131162.5585852.16796.359581.069271.03756.554042.155520.994753OpenBenchmarking.org

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCdcba160320480640800743741731744MIN: 68 / MAX: 9131MIN: 68 / MAX: 9128MIN: 68 / MAX: 9252MIN: 68 / MAX: 9491

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalardcba90180270360450410410410425MIN: 32 / MAX: 7568MIN: 32 / MAX: 7553MIN: 32 / MAX: 7618MIN: 32 / MAX: 7630

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUdcba2K4K6K8K10K4006.874008.224010.429669.71MIN: 3982.08MIN: 3979.27MIN: 3984.21MIN: 7787.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUdcba90018002700360045004003.114014.724014.694014.40MIN: 3978.97MIN: 3990.65MIN: 3992.17MIN: 3987.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdcba90018002700360045003998.334012.803996.224010.95MIN: 3971.44MIN: 3987.49MIN: 3974.78MIN: 3990.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUdcba2004006008001000848.70857.77849.771007.00MIN: 831.76MIN: 839.35MIN: 830.81MIN: 843.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUdcba2004006008001000853.26850.83857.24857.63MIN: 835.15MIN: 833.23MIN: 839.72MIN: 838.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUdcba2004006008001000850.23845.92853.46848.08MIN: 830.75MIN: 829.1MIN: 835.68MIN: 830.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlydcba0.15080.30160.45240.60320.7540.660.660.670.67

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objdcba81624324034.9034.8435.4035.77MIN: 34.56 / MAX: 35.96MIN: 34.51 / MAX: 36.1MIN: 35.07 / MAX: 36.62MIN: 35.43 / MAX: 37.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objdcba81624324035.1535.5435.7036.08MIN: 34.85 / MAX: 36.21MIN: 35.2 / MAX: 36.63MIN: 35.37 / MAX: 37.09MIN: 35.73 / MAX: 37.21

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlydcba0.3060.6120.9181.2241.531.351.351.361.36

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlydcba0.3060.6120.9181.2241.531.351.351.361.36

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUdcba36912159.628719.752119.529539.68878MIN: 8.7MIN: 8.72MIN: 8.42MIN: 8.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUdcba0.37880.75761.13641.51521.8941.670161.657641.683741.62713MIN: 1.47MIN: 1.47MIN: 1.47MIN: 1.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragondcba91827364540.4040.5740.9641.41MIN: 40.03 / MAX: 41.5MIN: 40.19 / MAX: 41.97MIN: 40.58 / MAX: 42.16MIN: 41.01 / MAX: 42.78

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragondcba102030405040.6340.1841.3741.96MIN: 40.27 / MAX: 41.67MIN: 39.8 / MAX: 41.46MIN: 40.99 / MAX: 42.35MIN: 41.59 / MAX: 43.14

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crowndcba112233445547.1846.8347.5448.66MIN: 46.43 / MAX: 49MIN: 46.12 / MAX: 48.33MIN: 46.84 / MAX: 48.82MIN: 47.93 / MAX: 50.27

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUdcba0.5641.1281.6922.2562.822.131162.506462.366772.50584MIN: 1.7MIN: 2.02MIN: 1.89MIN: 2.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUdcba0.57571.15141.72712.30282.87852.558582.411812.287072.46367MIN: 2.05MIN: 1.97MIN: 1.93MIN: 1.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crowndcba122436486052.1751.4752.7053.69MIN: 51.39 / MAX: 54.72MIN: 50.69 / MAX: 53.73MIN: 51.87 / MAX: 55.15MIN: 52.88 / MAX: 55.7

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUdcba2468106.359586.323926.017175.90121MIN: 6.22MIN: 6.17MIN: 5.87MIN: 5.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUdcba0.24360.48720.73080.97441.2181.069271.067281.082551.08280MIN: 0.98MIN: 0.97MIN: 0.99MIN: 0.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUdcba0.23340.46680.70020.93361.1671.0375000.9769711.0273501.013630MIN: 0.95MIN: 0.9MIN: 0.93MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUdcba2468106.554046.536476.505516.50020MIN: 6.45MIN: 6.41MIN: 6.4MIN: 6.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUdcba0.4850.971.4551.942.4252.155522.130612.124402.14010MIN: 2.07MIN: 2.07MIN: 2.07MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUdcba0.2250.450.6750.91.1250.9947530.9889521.0000800.988933MIN: 0.93MIN: 0.92MIN: 0.94MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl