icelake 31 march

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 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 2304013-NE-ICELAKE3183
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a
March 31 2023
  4 Hours, 29 Minutes
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April 01 2023
  1 Hour, 13 Minutes
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April 01 2023
  1 Hour, 14 Minutes
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April 01 2023
  1 Hour, 14 Minutes
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icelake 31 marchOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Ice Lake-LP DRAM16GBToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus ICL GT2 16GB (1100MHz)Realtek ALC289Intel Ice Lake-LP PCH CNVi WiFiUbuntu 22.045.19.0-38-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1OpenCL 3.01.3.204GCC 11.3.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionIcelake 31 March 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,brig,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-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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-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: 0xb8 - Thermald 2.4.9 - 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_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%118%135%153%171%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNBlenderoneDNNoneDNNoneDNNBlenderoneDNNBlenderoneDNNoneDNNIP Shapes 1D - u8s8f32 - CPUR.N.N.T - f32 - CPUD.B.s - u8s8f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 3D - bf16bf16bf16 - CPUD.B.s - f32 - CPUIP Shapes 1D - bf16bf16bf16 - CPUC.B.S.A - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUC.B.S.A - f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.I - f32 - CPUD.B.s - f32 - CPUD.B.s - bf16bf16bf16 - CPUBMW27 - CPU-OnlyR.N.N.I - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUFishy Cat - CPU-OnlyR.N.N.T - bf16bf16bf16 - CPUPabellon Barcelona - CPU-OnlyIP Shapes 1D - f32 - CPUIP Shapes 3D - f32 - CPU

icelake 31 marchonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUblender: BMW27 - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyabcd9.821856.815923.563464.2228235.555211.724517.071323.494114.988512.23244.549044.0918014822.56396.7512541.970.335688.902554.55526414.1812525.16410.87667.82853.932258.2010.34376.662962.165272.6593124.39167.5919512.722415.227713.534511.27972.671473.219938683.315454.5610488.747.899972.451248.91435859.7511598.25909607.66787.192127.0910.12136.659452.119742.6407324.09657.6214812.921615.311813.569811.25172.68433.227198829.675902.1511586.747.989661.662348.67315899.3411588.95904.98610.25800.372170.739.843256.688312.085672.8150824.67868.3599312.992820.20713.118911.42153.919283.153811688.66177.9412187.550.897981.906748.58246059.3712146.16148629.05790.542102.53OpenBenchmarking.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 3.1Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabcd3691215SE +/- 0.00684, N = 39.8218510.3437010.121309.84325MIN: 8.89MIN: 9.48MIN: 9.49MIN: 9.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabcd246810SE +/- 0.01784, N = 36.815926.662966.659456.68831MIN: 6.46MIN: 6.36MIN: 6.33MIN: 6.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUabcd0.80181.60362.40543.20724.009SE +/- 0.09702, N = 153.563462.165272.119742.08567MIN: 2.09MIN: 1.95MIN: 1.97MIN: 1.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUabcd0.95011.90022.85033.80044.7505SE +/- 0.08023, N = 124.222822.659312.640732.81508MIN: 2.53MIN: 2.55MIN: 2.51MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUabcd816243240SE +/- 0.81, N = 1235.5624.3924.1024.68MIN: 23.87MIN: 23.78MIN: 23.5MIN: 23.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUabcd3691215SE +/- 0.13472, N = 1211.724507.591957.621488.35993MIN: 6.27MIN: 6.3MIN: 6.08MIN: 6.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabcd48121620SE +/- 0.24, N = 1217.0712.7212.9212.99MIN: 11.85MIN: 12.51MIN: 12.59MIN: 11.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabcd612182430SE +/- 0.06, N = 323.4915.2315.3120.21MIN: 19.95MIN: 14.43MIN: 14.12MIN: 18.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabcd48121620SE +/- 0.19, N = 1514.9913.5313.5713.12MIN: 12.74MIN: 13.28MIN: 13.3MIN: 12.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUabcd3691215SE +/- 0.10, N = 912.2311.2811.2511.42MIN: 11.02MIN: 11.04MIN: 11.03MIN: 11.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUabcd1.02352.0473.07054.0945.1175SE +/- 0.05741, N = 34.549042.671472.684303.91928MIN: 3.95MIN: 2.6MIN: 2.55MIN: 3.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUabcd0.92071.84142.76213.68284.6035SE +/- 0.07272, N = 144.091803.219933.227193.15380MIN: 3.03MIN: 3.14MIN: 3.14MIN: 3.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabcd3K6K9K12K15KSE +/- 1893.68, N = 1214822.508683.318829.6711688.60MIN: 12309.7MIN: 8479.89MIN: 8485.03MIN: 11403.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabcd14002800420056007000SE +/- 6.24, N = 36396.755454.565902.156177.94MIN: 6202.66MIN: 5266.44MIN: 5729.58MIN: 5867.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUabcd3K6K9K12K15KSE +/- 4.77, N = 312541.910488.711586.712187.5MIN: 12352.8MIN: 9390.43MIN: 11430.2MIN: 11857.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUabcd1632486480SE +/- 1.76, N = 1270.3447.9047.9950.90MIN: 45.92MIN: 47.32MIN: 47.42MIN: 47.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUabcd20406080100SE +/- 1.11, N = 388.9072.4561.6681.91MIN: 81.31MIN: 68.46MIN: 58.41MIN: 72.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUabcd1224364860SE +/- 0.74, N = 1554.5648.9148.6748.58MIN: 46.76MIN: 48.35MIN: 48.15MIN: 48.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUabcd14002800420056007000SE +/- 3.77, N = 36414.185859.755899.346059.37MIN: 6217.32MIN: 5713.97MIN: 5743.16MIN: 5802.871. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUabcd3K6K9K12K15KSE +/- 3.99, N = 312525.111598.211588.912146.1MIN: 12322MIN: 11435MIN: 11421.2MIN: 115561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUabcd14002800420056007000SE +/- 5.00, N = 36410.875909.005904.986148.00MIN: 6212.61MIN: 5746.69MIN: 5742.42MIN: 5862.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Onlyabcd140280420560700SE +/- 0.39, N = 3667.82607.66610.25629.05

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Onlyabcd2004006008001000SE +/- 2.14, N = 3853.93787.19800.37790.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Onlyabcd5001000150020002500SE +/- 3.83, N = 32258.202127.092170.732102.53