Core i3 8100 Linux oneAPI

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 3GB on Ubuntu 20.04 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 2004093-NI-COREI381076
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Core i3-8100
April 09 2020
  1 Hour, 8 Minutes
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Core i3 8100 Linux oneAPIOpenBenchmarking.orgPhoronix Test SuiteIntel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.4.0-21-generic (x86_64)GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.74.6 Mesa 20.0.2OpenCL 2.1GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionCore I3 8100 Linux OneAPI BenchmarksSystem Logs- --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca- + Python 3.8.2- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + tsx_async_abort: Not affected

Core i3 8100 Linux oneAPImkl-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 - f32embree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objoidn: MemorialIntel Core i3-81008.40896112.1595.6435875.397510.514112.1089408.10911.0899461.433116.9653.10463.51003.80693.49584.57784.07393.84OpenBenchmarking.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: f32Intel Core i3-8100246810SE +/- 0.01352, N = 38.40896MIN: 8.321. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32Intel Core i3-8100306090120150SE +/- 0.08, N = 3112.16MIN: 111.191. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: u8s8f32Intel Core i3-81001.26982.53963.80945.07926.349SE +/- 0.00552, N = 35.64358MIN: 5.611. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: u8s8f32Intel Core i3-810020406080100SE +/- 0.08, N = 375.40MIN: 74.961. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32Intel Core i3-81003691215SE +/- 0.02, N = 310.51MIN: 10.431. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32Intel Core i3-81003691215SE +/- 0.04, N = 312.11MIN: 12.021. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32Intel Core i3-810090180270360450SE +/- 4.68, N = 3408.11MIN: 398.971. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Intel Core i3-81003691215SE +/- 0.00, N = 311.09MIN: 11.061. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32Intel Core i3-8100100200300400500SE +/- 0.80, N = 3461.43MIN: 459.91. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32Intel Core i3-8100306090120150SE +/- 0.10, N = 3116.97MIN: 116.061. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownIntel Core i3-81000.69851.3972.09552.7943.4925SE +/- 0.0016, N = 33.1046MIN: 3.09 / MAX: 3.15

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownIntel Core i3-81000.78981.57962.36943.15923.949SE +/- 0.0167, N = 33.5100MIN: 3.44 / MAX: 3.57

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonIntel Core i3-81000.85661.71322.56983.42644.283SE +/- 0.0034, N = 33.8069MIN: 3.76 / MAX: 3.86

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjIntel Core i3-81000.78661.57322.35983.14643.933SE +/- 0.0098, N = 33.4958MIN: 3.47 / MAX: 3.54

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonIntel Core i3-81001.032.063.094.125.15SE +/- 0.0130, N = 34.5778MIN: 4.51 / MAX: 4.66

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjIntel Core i3-81000.91661.83322.74983.66644.583SE +/- 0.0074, N = 34.0739MIN: 4.05 / MAX: 4.11

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialIntel Core i3-81000.8641.7282.5923.4564.32SE +/- 0.00, N = 33.84