centos stream extra

2 x Intel Xeon Max 9480 testing with a Supermicro X13DEM v1.10 (1.3 BIOS) and ASPEED on CentOS Stream 9 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 2310174-NE-CENTOSSTR52
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2 x Intel Xeon Max 9480
October 17 2023
  1 Hour, 19 Minutes
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October 17 2023
  1 Hour, 21 Minutes
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October 17 2023
  1 Hour, 21 Minutes
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centos stream extraOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads)Supermicro X13DEM v1.10 (1.3 BIOS)Intel Device 1bce512GB2 x 7682GB INTEL SSDPF2KX076TZASPEEDVE2282 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200GbCentOS Stream 95.14.0-373.el9.x86_64 (x86_64)GNOME Shell 40.10X ServerGCC 11.4.1 20230605xfs1920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionCentos Stream Extra BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl - Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000271- Python 3.9.17- SELinux + 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_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

2 x Intel Xeon Max 9480bcResult OverviewPhoronix Test Suite100%104%107%111%114%Intel Open Image DenoiseOpenVKLoneDNNOpenVINO

centos stream extraoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU ISPCopenvkl: vklBenchmarkCPU Scalaronednn: 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 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU2 x Intel Xeon Max 9480bc1.381.200.949824846.398678.188136.906615.247448.0286580.9469.0718314.80814.274237.111160.6091680.81602913799.31389.616878.53.881110.6470922.875811358.5615485.11233.2199.5370.41402.1991.89397.3193.012083.7917.71324.92343.5710933.6310.22909.8940.585108.2821.915569.867.1115732.267.11438.5877.76279.73132.1525154.514.36126.4918.253506.9231.968584.850.642330.7648.02114066.70.341.321.580.5010585163.443457.488846.504785.307188.3788384.29668.8538314.75254.061297.017690.5704670.89585387741415.42144043.851340.6670912.689581421.1417354.51395.16102.16360.67396.1293.25389.3194.92054.3617.96324.12344.510917.9110.23966.9938.25114.421.8616043.366.915673.547.121447.877.27317.24116.5124505.44.416150.0118.183522.9631.7773923.610.612332.9847.97115792.650.341.441.410.7010464885.42417.910513.768854.222478.4784681.84739.1819214.2073.937146.905760.5955360.814304140731303.3154673.93910.6055432.665551432.0413214.91339.74100.58366.12387.6195.29391.0294.461914.5419.27325.04343.611057.3210.11947.3238.995121.0521.8316509.916.715741.687.071465.9976.33303.33121.8625725.954.196200.7418.043558.5831.4473632.170.552329.6548.04110854.060.33OpenBenchmarking.org

Embree

Binary: Pathtracer - Model: Crown

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Binary: Pathtracer ISPC - Model: Crown

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Binary: Pathtracer - Model: Asian Dragon

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Binary: Pathtracer - Model: Asian Dragon Obj

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Binary: Pathtracer ISPC - Model: Asian Dragon

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

2 x Intel Xeon Max 9480: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

b: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

c: The test quit with a non-zero exit status. E: ./bin/embree_pathtracer_ispc: error while loading shared libraries: libOpenGL.so.0: cannot open shared object file: No such file or directory

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlycb2 x Intel Xeon Max 94800.3240.6480.9721.2961.621.441.321.38

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlycb2 x Intel Xeon Max 94800.35550.7111.06651.4221.77751.411.581.20

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlycb2 x Intel Xeon Max 94800.21150.4230.63450.8461.05750.700.500.94

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCcb2 x Intel Xeon Max 9480200400600800100010461058982MIN: 82 / MAX: 12371MIN: 79 / MAX: 12504MIN: 77 / MAX: 12444

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarcb2 x Intel Xeon Max 9480110220330440550488516484MIN: 49 / MAX: 7159MIN: 48 / MAX: 7431MIN: 44 / MAX: 7212

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: CPUcb2 x Intel Xeon Max 94802468105.424103.443456.39867MIN: 4.54MIN: 2.76MIN: 5.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 94802468107.910517.488848.18813MIN: 6.61MIN: 6.39MIN: 6.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94802468103.768856.504786.90661MIN: 2.93MIN: 5.31MIN: 5.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94801.19412.38823.58234.77645.97054.222475.307185.24744MIN: 2.99MIN: 3.81MIN: 3.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94802468108.478468.378838.02865MIN: 6.67MIN: 6.6MIN: 6.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94802040608010081.8584.3080.95MIN: 70.51MIN: 73.12MIN: 70.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 948036912159.181928.853839.07183MIN: 7.96MIN: 7.98MIN: 7.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 94804812162014.2114.7514.81MIN: 12.52MIN: 12.76MIN: 12.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 94800.96171.92342.88513.84684.80853.937144.061294.27423MIN: 2.83MIN: 2.94MIN: 2.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94802468106.905767.017697.11116MIN: 6.2MIN: 6.23MIN: 6.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94800.13710.27420.41130.54840.68550.5955360.5704670.609168MIN: 0.46MIN: 0.45MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94800.20160.40320.60480.80641.0080.8143040.8958530.816029MIN: 0.63MIN: 0.65MIN: 0.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 94803K6K9K12K15K14073.08774.013799.3MIN: 12966.8MIN: 8085.71MIN: 12882.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUcb2 x Intel Xeon Max 9480300600900120015001303.301415.421389.60MIN: 1163.26MIN: 1317.1MIN: 1235.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 94804K8K12K16K20K15467.014404.016878.5MIN: 13719.2MIN: 13476.1MIN: 15171.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94800.88631.77262.65893.54524.43153.939103.851343.88111MIN: 3.25MIN: 3.36MIN: 3.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94800.15010.30020.45030.60040.75050.6055430.6670910.647092MIN: 0.49MIN: 0.51MIN: 0.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94800.64711.29421.94132.58843.23552.665552.689582.87581MIN: 2.08MIN: 2.13MIN: 2.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUcb2 x Intel Xeon Max 9480300600900120015001432.041421.141358.56MIN: 1315.4MIN: 1315.46MIN: 1274.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 94804K8K12K16K20K13214.917354.515485.1MIN: 8210.66MIN: 16239.7MIN: 13354.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUcb2 x Intel Xeon Max 9480300600900120015001339.741395.161233.21MIN: 1229.23MIN: 1306.92MIN: 1125.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUcb2 x Intel Xeon Max 948020406080100100.58102.1699.501. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUcb2 x Intel Xeon Max 948080160240320400366.12360.67370.41MIN: 184.46 / MAX: 1083.67MIN: 191.19 / MAX: 1244.17MIN: 188.28 / MAX: 1143.061. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUcb2 x Intel Xeon Max 948090180270360450387.61396.12402.191. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUcb2 x Intel Xeon Max 94802040608010095.2993.2591.89MIN: 53.05 / MAX: 745.33MIN: 51.93 / MAX: 743.64MIN: 50.89 / MAX: 322.981. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUcb2 x Intel Xeon Max 948090180270360450391.02389.31397.311. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUcb2 x Intel Xeon Max 94802040608010094.4694.9093.01MIN: 50.39 / MAX: 395.2MIN: 53.38 / MAX: 377.91MIN: 49.97 / MAX: 447.81. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUcb2 x Intel Xeon Max 94804008001200160020001914.542054.362083.791. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUcb2 x Intel Xeon Max 948051015202519.2717.9617.71MIN: 9.17 / MAX: 219.84MIN: 9.08 / MAX: 231.3MIN: 8.79 / MAX: 229.391. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 948070140210280350325.04324.12324.921. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 948070140210280350343.60344.50343.57MIN: 254.33 / MAX: 730.72MIN: 263.98 / MAX: 1205.69MIN: 279.79 / MAX: 642.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUcb2 x Intel Xeon Max 94802K4K6K8K10K11057.3210917.9110933.631. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUcb2 x Intel Xeon Max 9480369121510.1110.2310.22MIN: 7.6 / MAX: 47.72MIN: 7.34 / MAX: 51.03MIN: 7.99 / MAX: 47.711. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUcb2 x Intel Xeon Max 94802004006008001000947.32966.99909.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUcb2 x Intel Xeon Max 948091827364538.9938.2040.58MIN: 25.7 / MAX: 110.21MIN: 26.14 / MAX: 101.74MIN: 26.74 / MAX: 152.151. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 9480110022003300440055005121.055114.405108.281. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 948051015202521.8321.8621.90MIN: 15.02 / MAX: 101.76MIN: 16.73 / MAX: 100.58MIN: 16.31 / MAX: 96.241. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUcb2 x Intel Xeon Max 94804K8K12K16K20K16509.9116043.3615569.861. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUcb2 x Intel Xeon Max 94802468106.706.907.11MIN: 4.41 / MAX: 66.66MIN: 4.38 / MAX: 93.9MIN: 4.45 / MAX: 76.171. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94803K6K9K12K15K15741.6815673.5415732.261. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94802468107.077.127.10MIN: 5.06 / MAX: 53.17MIN: 5.46 / MAX: 57.88MIN: 5.48 / MAX: 56.371. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 9480300600900120015001465.991447.801438.581. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94802040608010076.3377.2777.76MIN: 55.8 / MAX: 123.47MIN: 66.37 / MAX: 117.25MIN: 56.41 / MAX: 122.241. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUcb2 x Intel Xeon Max 948070140210280350303.33317.24279.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUcb2 x Intel Xeon Max 9480306090120150121.86116.51132.15MIN: 40.59 / MAX: 437.84MIN: 36.69 / MAX: 460.49MIN: 35.31 / MAX: 443.721. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94806K12K18K24K30K25725.9524505.4025154.511. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94800.99231.98462.97693.96924.96154.194.414.30MIN: 2.7 / MAX: 72.58MIN: 2.68 / MAX: 54.34MIN: 2.77 / MAX: 70.911. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUcb2 x Intel Xeon Max 9480130026003900520065006200.746150.016126.491. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUcb2 x Intel Xeon Max 94804812162018.0418.1818.25MIN: 12.84 / MAX: 58.35MIN: 12.71 / MAX: 50.87MIN: 12.34 / MAX: 134.571. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUcb2 x Intel Xeon Max 948080016002400320040003558.583522.963506.921. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUcb2 x Intel Xeon Max 948071421283531.4431.7731.90MIN: 26.5 / MAX: 78.01MIN: 25.35 / MAX: 81.87MIN: 25.84 / MAX: 72.491. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcb2 x Intel Xeon Max 948016K32K48K64K80K73632.1773923.6168584.851. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcb2 x Intel Xeon Max 94800.1440.2880.4320.5760.720.550.610.64MIN: 0.29 / MAX: 35.36MIN: 0.3 / MAX: 54.1MIN: 0.3 / MAX: 64.491. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 948050010001500200025002329.652332.982330.761. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 9480112233445548.0447.9748.02MIN: 38.44 / MAX: 119.56MIN: 40.56 / MAX: 126.63MIN: 40.77 / MAX: 97.231. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 948020K40K60K80K100K110854.06115792.65114066.701. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcb2 x Intel Xeon Max 94800.07650.1530.22950.3060.38250.330.340.34MIN: 0.27 / MAX: 11.81MIN: 0.28 / MAX: 18.6MIN: 0.28 / MAX: 31.551. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

62 Results Shown

Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
OpenVKL:
  vklBenchmarkCPU ISPC
  vklBenchmarkCPU Scalar
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms