one phoenix

AMD Ryzen 7 PRO 7840U testing with a LENOVO 21K5001JUS (R2FET33W_0921_3 1.13 BIOS) and AMD Phoenix1 4GB 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 2310135-NE-ONEPHOENI44
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October 13 2023
  52 Minutes
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October 13 2023
  18 Minutes
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October 13 2023
  18 Minutes
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October 13 2023
  18 Minutes
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one phoenixOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 PRO 7840U @ 5.13GHz (8 Cores / 16 Threads)LENOVO 21K5001JUS (R2FET33W_0921_3 1.13 BIOS)AMD Device 14e860GB1024GB Kioxia KXG8AZNV1T02 LAAMD Phoenix1 4GB (2700/800MHz)AMD Rembrandt Radeon HD AudioRealtek RTL8111/8168/8411 + Qualcomm QCNFA765Ubuntu 23.106.6.0-060600rc3daily20230925-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7 + Wayland4.6 Mesa 23.1.7-1ubuntu1 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext42880x1800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOne Phoenix 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: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced - 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: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%101%101%102%103%Intel Open Image DenoiseoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNIntel Open Image DenoiseIntel Open Image DenoiseRT.hdr_alb_nrm.3840x2160 - CPU-OnlyIP Shapes 3D - u8s8f32 - CPUIP Shapes 3D - bf16bf16bf16 - CPUC.B.S.A - bf16bf16bf16 - CPUIP Shapes 1D - f32 - CPUD.B.s - f32 - CPUIP Shapes 1D - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUD.B.s - u8s8f32 - CPUIP Shapes 1D - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUC.B.S.A - f32 - CPUC.B.S.A - u8s8f32 - CPUD.B.s - f32 - CPUR.N.N.T - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - f32 - CPUR.N.N.I - f32 - CPURT.ldr_alb_nrm.3840x2160 - CPU-OnlyRTLightmap.hdr.4096x4096 - CPU-Only

one phoenixonednn: 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 - CPUoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyabcd6.755655.350160.8180991.943241.924353.180729.527308.513495.346138.778971.079871.332153122.441627.653138.664.297436.587253.437211627.613160.741627.940.340.340.166.676395.342740.8196251.996651.909593.192189.549478.563225.358838.777431.073881.328363124.591625.043129.394.236116.563183.444091624.013134.441636.80.350.340.166.694215.380790.8112251.954641.911973.134029.514198.553235.340318.811131.070591.329433124.451625.113127.874.240446.57383.424471623.473134.531626.440.350.340.166.71295.354420.8174531.985761.918163.140589.495078.613625.350258.805821.072571.331363130.281626.413136.414.250296.540523.449671623.5931331628.760.350.340.16OpenBenchmarking.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: IP Shapes 1D - Data Type: f32 - Engine: CPUadcb246810SE +/- 0.01915, N = 36.755656.712906.694216.67639MIN: 5.96MIN: 6.29MIN: 6.17MIN: 5.671. (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: CPUadcb3691215Min: 6.74 / Avg: 6.76 / Max: 6.791. (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: CPUcdab1.21072.42143.63214.84286.0535SE +/- 0.00742, N = 35.380795.354425.350165.34274MIN: 5.28MIN: 5.27MIN: 5.27MIN: 5.281. (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: CPUcdab246810Min: 5.34 / Avg: 5.35 / Max: 5.361. (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: CPUbadc0.18440.36880.55320.73760.922SE +/- 0.001286, N = 30.8196250.8180990.8174530.811225MIN: 0.65MIN: 0.69MIN: 0.73MIN: 0.691. (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: CPUbadc246810Min: 0.82 / Avg: 0.82 / Max: 0.821. (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: CPUbdca0.44920.89841.34761.79682.246SE +/- 0.00435, N = 31.996651.985761.954641.94324MIN: 1.92MIN: 1.89MIN: 1.87MIN: 1.831. (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: CPUbdca246810Min: 1.94 / Avg: 1.94 / Max: 1.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUadcb0.4330.8661.2991.7322.165SE +/- 0.00355, N = 31.924351.918161.911971.90959MIN: 1.78MIN: 1.79MIN: 1.79MIN: 1.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUadcb246810Min: 1.92 / Avg: 1.92 / Max: 1.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUbadc0.71821.43642.15462.87283.591SE +/- 0.00152, N = 33.192183.180723.140583.13402MIN: 3.06MIN: 3.07MIN: 3.06MIN: 3.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUbadc246810Min: 3.18 / Avg: 3.18 / Max: 3.181. (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: CPUbacd3691215SE +/- 0.01014, N = 39.549479.527309.514199.49507MIN: 9.39MIN: 9.4MIN: 9.41MIN: 9.391. (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: CPUbacd3691215Min: 9.51 / Avg: 9.53 / Max: 9.551. (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: CPUdbca246810SE +/- 0.01913, N = 38.613628.563228.553238.51349MIN: 4.94MIN: 4.83MIN: 4.72MIN: 4.71. (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: CPUdbca3691215Min: 8.49 / Avg: 8.51 / Max: 8.551. (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: CPUbdac1.20572.41143.61714.82286.0285SE +/- 0.00448, N = 35.358835.350255.346135.34031MIN: 5.28MIN: 5.17MIN: 5.04MIN: 5.191. (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: CPUbdac246810Min: 5.34 / Avg: 5.35 / Max: 5.351. (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: CPUcdab246810SE +/- 0.00955, N = 38.811138.805828.778978.77743MIN: 8.69MIN: 8.69MIN: 8.68MIN: 8.681. (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: CPUcdab3691215Min: 8.76 / Avg: 8.78 / Max: 8.81. (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: CPUabdc0.2430.4860.7290.9721.215SE +/- 0.00502, N = 31.079871.073881.072571.07059MIN: 0.88MIN: 0.93MIN: 0.99MIN: 0.981. (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: CPUabdc246810Min: 1.07 / Avg: 1.08 / Max: 1.091. (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: CPUadcb0.29970.59940.89911.19881.4985SE +/- 0.00191, N = 31.332151.331361.329431.32836MIN: 1.1MIN: 1.1MIN: 1.14MIN: 1.131. (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: CPUadcb246810Min: 1.33 / Avg: 1.33 / Max: 1.341. (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: CPUdbca7001400210028003500SE +/- 7.70, N = 33130.283124.593124.453122.44MIN: 3067.66MIN: 3067.18MIN: 3063.83MIN: 3063.831. (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: CPUdbca5001000150020002500Min: 3107.76 / Avg: 3122.44 / Max: 3133.791. (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: CPUadcb30060090012001500SE +/- 1.31, N = 31627.651626.411625.111625.04MIN: 1596.03MIN: 1596.6MIN: 1596.52MIN: 1595.861. (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: CPUadcb30060090012001500Min: 1625.03 / Avg: 1627.65 / Max: 1629.161. (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: CPUadbc7001400210028003500SE +/- 1.13, N = 33138.663136.413129.393127.87MIN: 3068.13MIN: 3073.51MIN: 3068.28MIN: 3068.461. (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: CPUadbc5001000150020002500Min: 3136.42 / Avg: 3138.66 / Max: 3140.031. (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: bf16bf16bf16 - Engine: CPUadcb0.96691.93382.90073.86764.8345SE +/- 0.04446, N = 34.297434.250294.240444.23611MIN: 4.1MIN: 4.12MIN: 4.08MIN: 4.141. (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: bf16bf16bf16 - Engine: CPUadcb246810Min: 4.24 / Avg: 4.3 / Max: 4.391. (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: bf16bf16bf16 - Engine: CPUacbd246810SE +/- 0.02110, N = 36.587256.573806.563186.54052MIN: 5.72MIN: 5.26MIN: 6MIN: 6.131. (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: bf16bf16bf16 - Engine: CPUacbd3691215Min: 6.55 / Avg: 6.59 / Max: 6.621. (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: bf16bf16bf16 - Engine: CPUdbac0.77621.55242.32863.10483.881SE +/- 0.00484, N = 33.449673.444093.437213.42447MIN: 2.99MIN: 2.98MIN: 3.25MIN: 3.361. (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: bf16bf16bf16 - Engine: CPUdbac246810Min: 3.43 / Avg: 3.44 / Max: 3.451. (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: CPUabdc30060090012001500SE +/- 1.54, N = 31627.611624.011623.591623.47MIN: 1598.02MIN: 1597.92MIN: 1597.49MIN: 1597.551. (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: CPUabdc30060090012001500Min: 1624.91 / Avg: 1627.61 / Max: 1630.231. (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: bf16bf16bf16 - Engine: CPUacbd7001400210028003500SE +/- 28.34, N = 33160.743134.533134.443133.00MIN: 3066.97MIN: 3069.9MIN: 3074.07MIN: 3067.481. (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: bf16bf16bf16 - Engine: CPUacbd5001000150020002500Min: 3130.62 / Avg: 3160.74 / Max: 3217.381. (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: CPUbdac400800120016002000SE +/- 1.61, N = 31636.801628.761627.941626.44MIN: 1602.42MIN: 1599.41MIN: 1598.06MIN: 1596.461. (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: bf16bf16bf16 - Engine: CPUbdac30060090012001500Min: 1624.72 / Avg: 1627.94 / Max: 1629.761. (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-Onlyabcd0.07880.15760.23640.31520.394SE +/- 0.00, N = 30.340.350.350.35
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd12345Min: 0.34 / Avg: 0.34 / Max: 0.35

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd0.07650.1530.22950.3060.3825SE +/- 0.00, N = 30.340.340.340.34
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd12345Min: 0.34 / Avg: 0.34 / Max: 0.34

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyabcd0.0360.0720.1080.1440.18SE +/- 0.00, N = 30.160.160.160.16
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyabcd12345Min: 0.16 / Avg: 0.16 / Max: 0.16