atomicrulez_ubuntu_2310_mkl-dnn

Intel Core i9-10850K testing with a ASUS ROG MAXIMUS XII APEX (2701 BIOS) and NVIDIA GeForce RTX 3090 Ti 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 2310017-MICH-ATOMICR47
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Performance Per
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Date
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  Test
  Duration
i9-10850K
October 01 2023
  14 Minutes
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atomicrulez_ubuntu_2310_mkl-dnnOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-10850K @ 5.20GHz (10 Cores / 20 Threads)ASUS ROG MAXIMUS XII APEX (2701 BIOS)Intel Comet Lake PCH64GB280GB INTEL SSDPE21D280GANVIDIA GeForce RTX 3090 Ti 24GBRealtek ALC1220ROG PG259QNIntel I225-V + Intel Comet Lake PCH CNVi WiFiUbuntu 23.106.5.0-5-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7NVIDIA 535.104.054.6.0OpenCL 3.0 CUDA 12.2.138GCC 13.2.0 + CUDA 12.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionAtomicrulez_ubuntu_2310_mkl-dnn 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: performance) - CPU Microcode: 0xf8 - Thermald 2.5.4 - gather_data_sampling: Mitigation of Microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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: Mitigation of Microcode + tsx_async_abort: Not affected

atomicrulez_ubuntu_2310_mkl-dnnmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32mkl-dnn: Recurrent Neural Network Inference - bf16bf16bf16i9-10850K2.9350443.85591.2391016.84293.052294.75091124.5242.18324167.67425.7463OpenBenchmarking.org

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32i9-10850K0.66041.32081.98122.64163.302SE +/- 0.03799, N = 32.93504MIN: 2.531. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32i9-10850K1020304050SE +/- 0.01, N = 343.86MIN: 43.361. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32i9-10850K0.27880.55760.83641.11521.394SE +/- 0.01401, N = 41.23910MIN: 1.161. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32i9-10850K48121620SE +/- 0.03, N = 316.84MIN: 16.41. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

Harness: IP Batch 1D - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: IP Batch All - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32i9-10850K0.68681.37362.06042.74723.434SE +/- 0.00699, N = 33.05229MIN: 2.951. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32i9-10850K1.0692.1383.2074.2765.345SE +/- 0.00615, N = 34.75091MIN: 4.631. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32i9-10850K306090120150SE +/- 0.49, N = 3124.52MIN: 117.91. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32i9-10850K0.49120.98241.47361.96482.456SE +/- 0.01126, N = 32.18324MIN: 2.121. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32i9-10850K4080120160200SE +/- 0.41, N = 3167.67MIN: 160.271. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32i9-10850K612182430SE +/- 0.08, N = 325.75MIN: 24.551. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -ldl

Harness: Recurrent Neural Network Training - Data Type: u8s8f32

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16

i9-10850K: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.