oidn onednn

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0812 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 23.10 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 2310123-PTS-OIDNONED01
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October 12 2023
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October 12 2023
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oidn onednnOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0812 BIOS)Intel Device 7a2732GBWestern Digital WD_BLACK SN850X 1000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)Realtek ALC897ASUS VP28UUbuntu 23.106.5.0-7-generic (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOidn Onednn BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x119 - Thermald 2.5.4 - 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: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%102%105%107%110%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNIntel Open Image DenoiseIntel Open Image DenoiseIntel Open Image DenoiseIP Shapes 1D - f32 - CPUD.B.s - f32 - CPUIP Shapes 1D - u8s8f32 - CPUC.B.S.A - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - f32 - CPUD.B.s - u8s8f32 - CPUD.B.s - f32 - CPUC.B.S.A - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUR.N.N.I - u8s8f32 - CPUIP Shapes 3D - u8s8f32 - CPUR.N.N.I - f32 - CPURTLightmap.hdr.4096x4096 - CPU-OnlyRT.hdr_alb_nrm.3840x2160 - CPU-OnlyRT.ldr_alb_nrm.3840x2160 - CPU-Only

oidn onednnonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUabc1091.631092.270.332138.322139.932109.876.758111107.240.9929530.670.671.593804.044361.834940.6937364.126160.6957926.001045.924991094.821079.340.332125.442117.342123.006.832821105.660.9922690.670.671.580943.976242.013070.7226804.179640.7039045.956605.963971083.281088.580.332154.152164.012155.387.120421079.331.0072150.670.671.565563.993141.976250.6876034.141790.6985156.242315.86711OpenBenchmarking.org

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 Inference - Data Type: f32 - Engine: CPUcab2004006008001000SE +/- 8.50, N = 10SE +/- 10.88, N = 3SE +/- 13.48, N = 41083.281091.631094.82MIN: 977.31MIN: 981.79MIN: 981.461. (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: CPUbca2004006008001000SE +/- 12.74, N = 4SE +/- 13.94, N = 3SE +/- 11.13, N = 61079.341088.581092.27MIN: 979.13MIN: 982.99MIN: 980.941. (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-Onlycba0.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.33

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: CPUbac5001000150020002500SE +/- 20.94, N = 3SE +/- 21.78, N = 3SE +/- 7.75, N = 32125.442138.322154.15MIN: 1948.17MIN: 1963.87MIN: 1942.21. (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: CPUbac5001000150020002500SE +/- 19.76, N = 3SE +/- 16.32, N = 3SE +/- 4.65, N = 32117.342139.932164.01MIN: 1947.46MIN: 1934.49MIN: 1943.271. (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: CPUabc5001000150020002500SE +/- 25.97, N = 3SE +/- 24.29, N = 3SE +/- 10.68, N = 32109.872123.002155.38MIN: 1942.02MIN: 1953.79MIN: 1933.951. (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: f32 - Engine: CPUabc246810SE +/- 0.08251, N = 4SE +/- 0.08585, N = 15SE +/- 0.13608, N = 156.758116.832827.12042MIN: 2.64MIN: 2.59MIN: 2.611. (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: CPUcba2004006008001000SE +/- 14.03, N = 3SE +/- 2.39, N = 3SE +/- 5.86, N = 31079.331105.661107.24MIN: 981MIN: 984.41MIN: 982.651. (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: CPUbac0.22660.45320.67980.90641.133SE +/- 0.009400, N = 15SE +/- 0.007985, N = 15SE +/- 0.006142, N = 30.9922690.9929531.007215MIN: 0.86MIN: 0.86MIN: 0.861. (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: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlycba0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.670.670.67

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlycba0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.670.67

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_3d - Data Type: u8s8f32 - Engine: CPUcba0.35860.71721.07581.43441.793SE +/- 0.01738, N = 15SE +/- 0.02186, N = 15SE +/- 0.03076, N = 151.565561.580941.59380MIN: 1.42MIN: 1.42MIN: 1.421. (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: CPUbca0.911.822.733.644.55SE +/- 0.08784, N = 15SE +/- 0.11227, N = 15SE +/- 0.11784, N = 153.976243.993144.04436MIN: 3.37MIN: 3.38MIN: 3.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUacb0.45290.90581.35871.81162.2645SE +/- 0.00124, N = 3SE +/- 0.00479, N = 3SE +/- 0.01347, N = 31.834941.976252.01307MIN: 1.58MIN: 1.58MIN: 1.581. (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: CPUcab0.16260.32520.48780.65040.813SE +/- 0.000543, N = 3SE +/- 0.003785, N = 3SE +/- 0.004468, N = 30.6876030.6937360.722680MIN: 0.62MIN: 0.62MIN: 0.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUacb0.94041.88082.82123.76164.702SE +/- 0.01877, N = 3SE +/- 0.01054, N = 3SE +/- 0.01855, N = 34.126164.141794.17964MIN: 3.85MIN: 3.9MIN: 3.891. (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: CPUacb0.15840.31680.47520.63360.792SE +/- 0.003205, N = 3SE +/- 0.003928, N = 3SE +/- 0.003187, N = 30.6957920.6985150.703904MIN: 0.58MIN: 0.59MIN: 0.61. (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: CPUbac246810SE +/- 0.03828, N = 3SE +/- 0.07544, N = 3SE +/- 0.02742, N = 35.956606.001046.24231MIN: 5.67MIN: 5.53MIN: 5.461. (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: CPUcab1.34192.68384.02575.36766.7095SE +/- 0.03630, N = 3SE +/- 0.02525, N = 3SE +/- 0.02944, N = 35.867115.924995.96397MIN: 4.86MIN: 4.78MIN: 4.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl