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.

HTML result view exported from: https://openbenchmarking.org/result/2310174-NE-CENTOSSTR52&sor.

centos stream extraProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen Resolution2 x Intel Xeon Max 9480bc2 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 20230605xfs1920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --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 Processor Details- Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c000271Python Details- Python 3.9.17Security Details- 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

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

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyc2 x Intel Xeon Max 9480b0.3240.6480.9721.2961.621.441.381.32

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlybc2 x Intel Xeon Max 94800.35550.7111.06651.4221.77751.581.411.20

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only2 x Intel Xeon Max 9480cb0.21150.4230.63450.8461.05750.940.700.50

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCbc2 x Intel Xeon Max 9480200400600800100010581046982MIN: 79 / MAX: 12504MIN: 82 / MAX: 12371MIN: 77 / MAX: 12444

OpenVKL

Benchmark: vklBenchmarkCPU Scalar

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU Scalarbc2 x Intel Xeon Max 9480110220330440550516488484MIN: 48 / MAX: 7431MIN: 49 / MAX: 7159MIN: 44 / MAX: 7212

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUbc2 x Intel Xeon Max 94802468103.443455.424106.39867MIN: 2.76MIN: 4.54MIN: 5.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUbc2 x Intel Xeon Max 94802468107.488847.910518.18813MIN: 6.39MIN: 6.61MIN: 6.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUc2 x Intel Xeon Max 9480b1.19412.38823.58234.77645.97054.222475.247445.30718MIN: 2.99MIN: 3.67MIN: 3.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU2 x Intel Xeon Max 9480bc2468108.028658.378838.47846MIN: 6.31MIN: 6.6MIN: 6.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU2 x Intel Xeon Max 9480cb2040608010080.9581.8584.30MIN: 70.18MIN: 70.51MIN: 73.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUb2 x Intel Xeon Max 9480c36912158.853839.071839.18192MIN: 7.98MIN: 7.95MIN: 7.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUbc2 x Intel Xeon Max 94800.13710.27420.41130.54840.68550.5704670.5955360.609168MIN: 0.45MIN: 0.46MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUc2 x Intel Xeon Max 9480b0.20160.40320.60480.80641.0080.8143040.8160290.895853MIN: 0.63MIN: 0.63MIN: 0.651. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUb2 x Intel Xeon Max 9480c3K6K9K12K15K8774.013799.314073.0MIN: 8085.71MIN: 12882.7MIN: 12966.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUc2 x Intel Xeon Max 9480b300600900120015001303.301389.601415.42MIN: 1163.26MIN: 1235.38MIN: 1317.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUbc2 x Intel Xeon Max 94804K8K12K16K20K14404.015467.016878.5MIN: 13476.1MIN: 13719.2MIN: 15171.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUb2 x Intel Xeon Max 9480c0.88631.77262.65893.54524.43153.851343.881113.93910MIN: 3.36MIN: 3.25MIN: 3.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUc2 x Intel Xeon Max 9480b0.15010.30020.45030.60040.75050.6055430.6470920.667091MIN: 0.49MIN: 0.51MIN: 0.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU2 x Intel Xeon Max 9480bc300600900120015001358.561421.141432.04MIN: 1274.34MIN: 1315.46MIN: 1315.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUc2 x Intel Xeon Max 9480b4K8K12K16K20K13214.915485.117354.5MIN: 8210.66MIN: 13354.1MIN: 16239.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2 x Intel Xeon Max 9480cb300600900120015001233.211339.741395.16MIN: 1125.02MIN: 1229.23MIN: 1306.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUbc2 x Intel Xeon Max 948020406080100102.16100.5899.501. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUbc2 x Intel Xeon Max 948080160240320400360.67366.12370.41MIN: 191.19 / MAX: 1244.17MIN: 184.46 / MAX: 1083.67MIN: 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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPU2 x Intel Xeon Max 9480bc90180270360450402.19396.12387.611. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPU2 x Intel Xeon Max 9480bc2040608010091.8993.2595.29MIN: 50.89 / MAX: 322.98MIN: 51.93 / MAX: 743.64MIN: 53.05 / MAX: 745.331. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPU2 x Intel Xeon Max 9480cb90180270360450397.31391.02389.311. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPU2 x Intel Xeon Max 9480cb2040608010093.0194.4694.90MIN: 49.97 / MAX: 447.8MIN: 50.39 / MAX: 395.2MIN: 53.38 / MAX: 377.911. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPU2 x Intel Xeon Max 9480bc4008001200160020002083.792054.361914.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPU2 x Intel Xeon Max 9480bc51015202517.7117.9619.27MIN: 8.79 / MAX: 229.39MIN: 9.08 / MAX: 231.3MIN: 9.17 / MAX: 219.841. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b70140210280350325.04324.92324.121. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPU2 x Intel Xeon Max 9480cb70140210280350343.57343.60344.50MIN: 279.79 / MAX: 642.34MIN: 254.33 / MAX: 730.72MIN: 263.98 / MAX: 1205.691. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc2 x Intel Xeon Max 9480b2K4K6K8K10K11057.3210933.6310917.911. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUc2 x Intel Xeon Max 9480b369121510.1110.2210.23MIN: 7.6 / MAX: 47.72MIN: 7.99 / MAX: 47.71MIN: 7.34 / MAX: 51.031. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUbc2 x Intel Xeon Max 94802004006008001000966.99947.32909.891. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUbc2 x Intel Xeon Max 948091827364538.2038.9940.58MIN: 26.14 / MAX: 101.74MIN: 25.7 / MAX: 110.21MIN: 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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b3K6K9K12K15K15741.6815732.2615673.541. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b2468107.077.107.12MIN: 5.06 / MAX: 53.17MIN: 5.48 / MAX: 56.37MIN: 5.46 / MAX: 57.881. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

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

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUbc2 x Intel Xeon Max 948070140210280350317.24303.33279.731. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUbc2 x Intel Xeon Max 9480306090120150116.51121.86132.15MIN: 36.69 / MAX: 460.49MIN: 40.59 / MAX: 437.84MIN: 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

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b6K12K18K24K30K25725.9525154.5124505.401. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b0.99231.98462.97693.96924.96154.194.304.41MIN: 2.7 / MAX: 72.58MIN: 2.77 / MAX: 70.91MIN: 2.68 / MAX: 54.341. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

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

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUbc2 x Intel Xeon Max 948016K32K48K64K80K73923.6173632.1768584.851. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUb2 x Intel Xeon Max 9480c50010001500200025002332.982330.762329.651. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUb2 x Intel Xeon Max 9480c112233445547.9748.0248.04MIN: 40.56 / MAX: 126.63MIN: 40.77 / MAX: 97.23MIN: 38.44 / MAX: 119.561. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUb2 x Intel Xeon Max 9480c20K40K60K80K100K115792.65114066.70110854.061. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUc2 x Intel Xeon Max 9480b0.07650.1530.22950.3060.38250.330.340.34MIN: 0.27 / MAX: 11.81MIN: 0.28 / MAX: 31.55MIN: 0.28 / MAX: 18.61. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -std=c++11 -MD -MT -MF

Phoronix Test Suite v10.8.4