extra tests2

Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 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 2310228-NE-EXTRATEST37
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a
October 07 2023
  5 Hours, 38 Minutes
b
October 07 2023
  5 Hours, 6 Minutes
c
October 07 2023
  4 Hours, 48 Minutes
d
October 20 2023
  5 Hours, 58 Minutes
e
October 20 2023
  6 Hours, 40 Minutes
f
October 21 2023
  6 Hours, 19 Minutes
g
October 22 2023
  5 Hours, 59 Minutes
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  5 Hours, 47 Minutes

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a

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

b

c

Processor: 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads), Motherboard: Supermicro H13DSH (1.5 BIOS), Memory: 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb

OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768

d

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

e

f

g

Changed Processor to AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads).

Changed Motherboard to Supermicro H13SSW (1.1 BIOS).

Changed Memory to 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N.

extra tests2ProcessorMotherboardMemoryDiskGraphicsOSKernelCompilerFile-SystemScreen Resolutionabcdefg2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads)Supermicro H13DSH (1.5 BIOS)24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07astdrmfbAlmaLinux 9.25.14.0-284.25.1.el9_2.x86_64 (x86_64)GCC 11.3.1 20221121ext41024x768AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads)Supermicro H13SSW (1.1 BIOS)12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123NOpenBenchmarking.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- a: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- b: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- c: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- d: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111- e: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111- f: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111- g: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111Java Details- OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)Python Details- Python 3.9.16Security Details- 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdefgResult OverviewPhoronix Test Suite100%143%187%230%273%BlenderBRL-CADIntel Open Image DenoiseEmbreeSPECFEM3DOSPRayTimed Linux Kernel CompilationRemhosOpenVINONeural Magic DeepSparseTiDB Community ServerApache HadoopApache CassandraLiquid-DSPSVT-AV1nekRS

extra tests2hadoop: File Status - 50 - 1000000hadoop: Open - 100 - 1000000hadoop: Open - 50 - 1000000deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamopenvino: Handwritten English Recognition FP16-INT8 - CPUdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamopenvino: Handwritten English Recognition FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeopenvino: Weld Porosity Detection FP16 - CPUdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamliquid-dsp: 96 - 256 - 32deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamopenvino: Face Detection FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamblender: Pabellon Barcelona - CPU-Onlyopenvino: Face Detection Retail FP16-INT8 - CPUblender: Classroom - CPU-Onlyblender: BMW27 - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUblender: Fishy Cat - CPU-Onlyopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection FP32 - CPUspecfem3d: Layered Halfspaceopenvino: Person Detection FP16 - CPUblender: Barbershop - CPU-Onlydeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streambrl-cad: VGR Performance Metricembree: Pathtracer - Crownopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyospray: gravity_spheres_volume/dim_512/scivis/real_timeoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyospray: gravity_spheres_volume/dim_512/ao/real_timeembree: Pathtracer ISPC - Crownspecfem3d: Mount St. Helensliquid-dsp: 96 - 256 - 512ospray: gravity_spheres_volume/dim_512/pathtracer/real_timespecfem3d: Homogeneous Halfspaceopenvino: Vehicle Detection FP16-INT8 - CPUembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objopenvino: Person Vehicle Bike Detection FP16 - CPUembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonspecfem3d: Water-layered Halfspaceopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUspecfem3d: Tomographic Modelliquid-dsp: 96 - 256 - 57openvino: Road Segmentation ADAS FP16 - CPUhadoop: File Status - 50 - 100000liquid-dsp: 64 - 256 - 512liquid-dsp: 64 - 256 - 32build-linux-kernel: defconfighadoop: File Status - 100 - 1000000openvino: Face Detection FP16 - CPUremhos: Sample Remap Exampleopenvino: Face Detection FP16-INT8 - CPUliquid-dsp: 64 - 256 - 57hadoop: Open - 100 - 100000openvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUhadoop: Create - 100 - 100000openvino: Vehicle Detection FP16-INT8 - CPUhadoop: Create - 100 - 1000000openvino: Person Vehicle Bike Detection FP16 - CPUhadoop: File Status - 100 - 100000liquid-dsp: 32 - 256 - 512openvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUtidb: oltp_read_write - 128tidb: oltp_read_write - 64openvino: Road Segmentation ADAS FP16 - CPUhadoop: Create - 50 - 100000hadoop: Open - 50 - 100000hadoop: Delete - 100 - 100000ospray: particle_volume/pathtracer/real_timehadoop: Delete - 50 - 100000hadoop: Create - 50 - 1000000cassandra: Writestidb: oltp_point_select - 1svt-av1: Preset 8 - Bosphorus 4Ktidb: oltp_read_write - 32hadoop: Delete - 100 - 1000000tidb: oltp_update_non_index - 1tidb: oltp_read_write - 1hadoop: Rename - 100 - 1000000tidb: oltp_update_non_index - 128svt-av1: Preset 4 - Bosphorus 4Khadoop: Delete - 50 - 1000000tidb: oltp_update_index - 1svt-av1: Preset 12 - Bosphorus 1080phadoop: Rename - 100 - 100000liquid-dsp: 2 - 256 - 512tidb: oltp_point_select - 128liquid-dsp: 32 - 256 - 57tidb: oltp_update_non_index - 64svt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080phadoop: Rename - 50 - 1000000nekrs: TurboPipe Periodicsvt-av1: Preset 4 - Bosphorus 1080phadoop: Rename - 50 - 100000liquid-dsp: 1 - 256 - 512tidb: oltp_update_index - 64deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamliquid-dsp: 2 - 256 - 32onednn: IP Shapes 1D - bf16bf16bf16 - CPUliquid-dsp: 32 - 256 - 32liquid-dsp: 8 - 256 - 512liquid-dsp: 2 - 256 - 57tidb: oltp_point_select - 64liquid-dsp: 1 - 256 - 57nekrs: Kershawliquid-dsp: 4 - 256 - 512liquid-dsp: 1 - 256 - 32tidb: oltp_update_index - 128liquid-dsp: 16 - 256 - 512liquid-dsp: 8 - 256 - 32liquid-dsp: 16 - 256 - 32liquid-dsp: 4 - 256 - 32openvino: Age Gender Recognition Retail 0013 FP16 - CPUtidb: oltp_update_non_index - 32tidb: oltp_point_select - 32openvino: Handwritten English Recognition FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamopenvino: Face Detection Retail FP16-INT8 - CPUdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamtidb: oltp_point_select - 16tidb: oltp_update_index - 32deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamonednn: IP Shapes 3D - u8s8f32 - CPUtidb: oltp_read_write - 16deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamonednn: IP Shapes 3D - f32 - CPUopenvino: Weld Porosity Detection FP16 - CPUliquid-dsp: 8 - 256 - 57deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUliquid-dsp: 4 - 256 - 57svt-av1: Preset 12 - Bosphorus 4Ktidb: oltp_update_non_index - 16liquid-dsp: 16 - 256 - 57svt-av1: Preset 13 - Bosphorus 4Konednn: IP Shapes 3D - bf16bf16bf16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUonednn: IP Shapes 1D - f32 - CPUkripke: easywave: e2Asean Grid + BengkuluSept2007 Source - 2400deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUembree: Pathtracer ISPC - Asian Dragon Objtidb: oltp_update_index - 16embree: Pathtracer - Crownonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamonednn: Convolution Batch Shapes Auto - f32 - CPUdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamonednn: Recurrent Neural Network Training - u8s8f32 - CPUembree: Pathtracer ISPC - Asian Dragoneasywave: e2Asean Grid + BengkuluSept2007 Source - 240embree: Pathtracer - Asian Dragonopenvkl: vklBenchmarkCPU Scalardeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragon Objopenvkl: vklBenchmarkCPU ISPCeasywave: e2Asean Grid + BengkuluSept2007 Source - 1200onednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyopenradioss: Bumper Beamabcdefg217391321533211261265137.01141244.6949.325839.4951218.146439.4391489.1203485.6725215.6383718.9189158.924322.25051560.0330.415776.9415.98615.95282945.26201.3925300580000068.598856.011417.070680.549837.5866.4226.2120606.3833.2286884.64283.9726.885983804282.55254.88672.463577216254.9017317.222033.170.861.8413.87391.8314.236956.087111.02476577571164000016.346815.105117732873.2460.144953.57332454.0956.485367.337826.9850209085882.91842.9112.3129466522559800000748.44529101622560000220770000027.3541886792393.616.346213.94199440000042016842.2442.4437.85.89407334.17461454.885154644258100002.0314.23857577909016.024364946082987566215.0969107553665248095433190.81158974901141328254073078511055.203989321212422.9947552927901000159242119210000041281141.219510.36173239676771000012.477705221390900035.62877181000118350000010987000011749000012756759401000111069000005291100039499000270872160800003075400005942300001538500000.542873510462738.516.90744.864.650818361347.661238331118.750916.26369430000150.5897485.71758.2830.72196220000163.45918095699740000163.0130.3474.321112558109.802749.365333.341249.0092605.758605.0388111.0131194174817382210204085138.83411239.6749.166639.4681219.526339.4539489.4464488.1264215.9254717.9693159.0596321.18291546.0230.445780.4415.978515.98882986.46201.2528299540000068.661756.061403.06580.769849.0766.6426.24120728.2233.1787359.23284.9928.65210863284.22255.3672.373476851755.3925317.282028.010.861.8413.76661.8314.178356.455111.31849570971814000016.436514.460586982880.5859.912453.81352450.2656.690267.195129.4607611975836.27854.5112.1005959472571100000750.49862069610950000221210000027.241161970393.2316.791213.62200190000040485842.0942.237.795.91374254.16444374.894587164296200002.0514.03890998018315.984128846948490827214.0747380152119256661440591.322615208671513122510721295.14997314427.6866934827736000159728121420000039759138.338542.61171679675736000012.59173046140210002437135.642277019000119030000010808000011401000013080259296000112403000005558800039486000274642161500003051100006024700001536900000.542891410618038.6617.06694.854.64766751517817347.218936950118.948216.02366930000150.6055487.35998.2731196590000166.37818068692760000166.6920.3474.5553109.233249.108233.379848.9703606.6693605.7307110.91522842521858746839955153.66441237.2947.153539.4464218.516239.4183487.0522489.1106215.647716.1404164.6131321.50821551.6330.435802.6515.987215.97782987.33201.5402299980000068.628756.021418.904180.419845.2766.7226.12123484.2833.0386789.8284.3127.490850157282.67254.72671.255476252955.4037317.332029.790.871.8213.83171.8314.139956.807811.3273597771503000016.53514.8082733652881.1459.792953.69272455.5156.932767.503827.0602350795840.53849.312.0409178772564900000757.38657895622630000220680000027.4081893939393.3716.243213.79201030000040322642.1942.4337.795.9350754.16440014.887299274244000002.0514.127846915.834393740160673475214.1369058052260270480447190.41759630970311381248566827528655.049901471189431.8956715928227000149962125480000039106143.545516.90674638675417000012.61777101142250002332435.682576924000118480000010914000011855000057519000108267000005516500039453000265462149100003067600006036500001536700000.5438.7516.88634.864.63486540617565347.372837368118.780116.02366990000145.2562507.47868.2430.89194510000163.055674930000161.4950.3474.503112681109.584749.017333.463749.2055605.8765605.9183111.025181818212484392783191599.2079395.6616.164813.069472.45513.1312163.5559162.850271.9189240.552955.6132108.909532.5910.472013.775.574695.570011039.6171.137106520000024.483320.03508.087224.153540.88182.997244958.0790.0332002.62106.971.614294327107.02670.87257.272829806421.4811124.12797.640.340.725.453290.725.6074722.58526.7364141182862500006.5874535.5716849081175.6724.687222.26141036.9923.873328.364362.4417495852564.78370.5727.3309855881120800000344.67632911282920000105950000055.173600601761.5930.761398.52109330000052910174.8174.7164.4110.01579716.79712967.75917162737600003.1121.57597275533423.258617578035105708151.90510101072134197866589866.988469771126131693812084.1071110121479526.2168210224627000129492103500000034224118.946604.98683921793457000010.9182372126830002110831.0525670540001.03749104710000099594000105650000115675526650001031890000050258000352280001938500002780300005453600001386000000.49262739814940.415.72464.514.99617612325.87630.6039536480112.24991.2575815.36363310000143.7643493.5967.9330.02188930000163.18918563689150000161.8541.028750.352.4940824099450098.9873.3058849.163838.5161.558240.65225923.35311262221.89430.6282360.847805110.1114847.383.8157649.086333.22422.1333248.87291642.5127.74381.65724.845191606.5773606.1011.3378922.392222.351748738.1051641.923.059911.91374111.10813.377821643.990.340.720.7232092412048192510041599.1543432.3216.139212.943372.657113.1187162.9298163.136171.9146240.234955.4634109.0938530.9910.472007.535.541075.563531039.8271.2727106510000024.472520511.4098224.13544.18182.5671.4444933.2790.3132032.06107.2470.189028506107.27670.64257.89429612521.4357123.61793.750.340.725.461530.725.620422.569426.7991434462858800006.582735.0301348891174.624.734322.15771028.6423.939328.314162.3251468282562.54373.6427.4598213081117800000342.81389105281830000105750000055.093235627761.1630.845398.91109540000029498574.5474.564.6810.06588246.8700577.776134972734800003.1121.4601455389323.325861755248698039151.50610060470897195798597667.721467371132251708320984360421384.1141133271490525.1738382225207000129904103200000033881119.307597.01184041793101000010.98482237123660002127130.9867688460001.1443210466000009700500010548000011865752827000102640000005038000035315000246111960400002777800005451400001386200000.49262859690736.9815.62454.514.98597025017117325.74160.57579436784112.05741.2804315.36357990000144.1013494.25757.9630.1191230000162.60818557692920000162.0511.054250.352.5652223624390099.41573.2609851.659849.7121.549110.6576123.52831256721.99090.6339750.844434109.9654841.0783.8442149.009433.26252.125749.05981639.3627.82931.65424.8282190606.755607.9131.3386122.342222.291148738.06716413.06371.91781111.08883.384361643.970.340.720.721795332130378112210011600.5275431.9416.130713.085372.573613.0934162.8976162.929471.9401240.164255.5428109.09533.7410.482004.765.57325.555811038.4771.044106530000024.523820.01508.2088223.953548.78181.771.9644968.4390.2631951.64106.7670.542255905107.39667.87257.504629560321.5913124.3791.740.340.725.452270.725.6145422.656626.8731684552859200006.5956335.5350730011180.8524.704722.1491041.8723.935428.323761.2817691242539.97369.2626.9737573951120500000343.49709220283030000105710000055.1481964637760.5730.725399.24109460000052356074.8774.4364.3110.09593826.76705377.674784692733900003.1421.65603105495623.285834357803599404151.789699369920196287595467.393471411108031697321885815414244.1381111981483521.5187949125199000130389102460000034470118.486585.36882501795579000010.73681633126810002106731.0292688610001.001361041900000994410001057400001190925287900099764500004997700035271000248301945000002763900005450200001385800000.49266959736837.0115.7214.54.987770105324.95680.60083436125112.4131.2065315.38350450000143.6922494.22117.9729.95189880000161.847693340000160.7981.061440.352.4971423659100097.98773.2163849.344851.4941.572820.65318223.50421269221.77460.6303250.850691110.0001845.3083.8182349.071233.27512.1306249.07141636.4427.8261.65724.887191606.7852607.81711.3418322.440722.267648838.0151636.763.056741.91422110.88523.379561642.350.340.720.72203666011074206540221602.5221432.216.067213.07372.687913.0596163.2282162.993771.9003239.517655.4264109.2191538.0110.482006.095.575535.565391039.3770.9275106570000024.460720.05509.139224.123533.64183.2972.0145097.9990.6332008.03107.2469.955609165107.04669.09257.280829552221.5847123.41793.90.340.725.477250.725.6227822.774527.6966313712865300006.6008535.3786000211175.5824.819322.19011031.623.879628.479362.8109243762557.66372.2627.7464751621118200000341.36561798281730000105620000055.1722049180759.9230.75398.13109930000046082974.5874.7164.7710.06589286.79709227.744878052740700003.1221.47599445530123.4260680546448102564151.6811039507270619709267.811469931138951705319585763416954.1431108281481528.5338038622727000103340000034107118.481586.74884810796491000011.016822371225600031.0574686780001.12723104710000010017000010480000011854952854000105006000004955600035236000245741946700002774100005430500001384600000.499684036.9815.68924.524.97876992317135325.50750.6123236088112.47791.2791815.37357810000144.1053495.60337.9629.72190750000160.32218735682070000161.3241.045670.352.5144123717570097.52973.1867837.595848.0321.551180.647723.70911262721.83050.6291080.843492109.9037847.4173.8238149.025933.36742.1181348.98371631.9927.911.64824.9619191608.7163607.16281.3356422.421522.255948937.951637.373.054581.91274110.97593.381561641.40.340.720.72OpenBenchmarking.org

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: File Status - Threads: 50 - Files: 1000000abcdefg500K1000K1500K2000K2500K21739131941748284252181818232092417953322036660

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 100 - Files: 1000000abcdefg300K600K900K1200K1500K2153321738221858741248439120481913037811107420

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 50 - Files: 1000000abcdefg300K600K900K1200K1500K112612610204086839952783192510041221001654022

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg110022003300440055005137.015138.835153.661599.211599.151600.531602.52

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUabcdefg300600900120015001244.691239.671237.29395.66432.32431.94432.201. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamabcdefg112233445549.3349.1747.1516.1616.1416.1316.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcdefg91827364539.5039.4739.4513.0712.9413.0913.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg50100150200250218.15219.53218.5272.4672.6672.5772.69

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcdefg91827364539.4439.4539.4213.1313.1213.0913.06

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcdefg110220330440550489.12489.45487.05163.56162.93162.90163.23

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabcdefg110220330440550485.67488.13489.11162.85163.14162.93162.99

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcdefg50100150200250215.64215.93215.6571.9271.9171.9471.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg160320480640800718.92717.97716.14240.55240.23240.16239.52

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabcdefg4080120160200158.92159.06164.6155.6155.4655.5455.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcdefg70140210280350322.25321.18321.51108.91109.09109.09109.22

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUabcdefg300600900120015001560.031546.021551.63532.59530.99533.74538.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUabcdefg71421283530.4130.4430.4310.4710.4710.4810.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUabcdefg120024003600480060005776.945780.445802.652013.772007.532004.762006.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeabcdefg4812162015.9860015.9785015.987205.574695.541075.573205.57553

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeabcdefg4812162015.9528015.9888015.977805.570015.563535.555815.56539

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUabcdefg60012001800240030002945.262986.462987.331039.611039.821038.471039.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabcdefg4080120160200201.39201.25201.5471.1471.2771.0470.93

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 96 - Buffer Length: 256 - Filter Length: 32abcdefg600M1200M1800M2400M3000M30058000002995400000299980000010652000001065100000106530000010657000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcdefg153045607568.6068.6668.6324.4824.4724.5224.46

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUabcdefg132639526556.0156.0656.0220.0320.0020.0120.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg300600900120015001417.071403.071418.90508.09511.41508.21509.14

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyabcdefg5010015020025080.5480.7680.41224.15224.10223.95224.12

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUabcdefg2K4K6K8K10K9837.589849.079845.273540.883544.183548.783533.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyabcdefg408012016020066.4266.6466.72182.99182.56181.70183.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyabcdefg163248648026.2026.2426.1272.0071.4471.9672.01

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcdefg30K60K90K120K150K120606.38120728.22123484.2844958.0744933.2744968.4345097.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyabcdefg2040608010033.2233.1733.0390.0390.3190.2690.63

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcdefg20K40K60K80K100K86884.6487359.2386789.8032002.6232032.0631951.6432008.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUabcdefg60120180240300283.97284.99284.31106.90107.24106.76107.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered Halfspaceabcdefg163248648026.8928.6527.4971.6170.1970.5469.961. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUabcdefg60120180240300282.55284.22282.67107.02107.27107.39107.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyabcdefg140280420560700254.88255.30254.72670.87670.64667.87669.09

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabcdefg150300450600750672.46672.37671.26257.27257.89257.50257.28

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.36VGR Performance Metricabcdefg170K340K510K680K850K7721627685177625292980642961252956032955221. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Crownabcdefg122436486054.9055.3955.4021.4821.4421.5921.58MIN: 53.27 / MAX: 57.28MIN: 54.02 / MAX: 57.64MIN: 53.71 / MAX: 58.99MIN: 21.32 / MAX: 21.8MIN: 21.3 / MAX: 21.78MIN: 21.45 / MAX: 21.84MIN: 21.43 / MAX: 21.89

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUabcdefg70140210280350317.22317.28317.33124.12123.61124.30123.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUabcdefg4008001200160020002033.172028.012029.79797.64793.75791.74793.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyabcdefg0.19580.39160.58740.78320.9790.860.860.870.340.340.340.34

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyabcdefg0.4140.8281.2421.6562.071.841.841.820.720.720.720.72

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeabcdefg4812162013.8739013.7666013.831705.453295.461535.452275.47725

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyabcdefg0.41180.82361.23541.64722.0591.831.831.830.720.720.720.72

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeabcdefg4812162014.2369014.1783014.139905.607475.620405.614545.62278

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Crownabcdefg132639526556.0956.4656.8122.5922.5722.6622.77MIN: 54.05 / MAX: 59.82MIN: 54.53 / MAX: 59.89MIN: 55.27 / MAX: 59.91MIN: 22.39 / MAX: 22.98MIN: 22.39 / MAX: 22.93MIN: 22.45 / MAX: 22.99MIN: 22.57 / MAX: 23.16

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. Helensabcdefg71421283511.0211.3211.3326.7426.8026.8727.701. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 96 - Buffer Length: 256 - Filter Length: 512abcdefg150M300M450M600M750M7116400007181400007150300002862500002858800002859200002865300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeabcdefg4812162016.3468016.4365016.535006.587456.582706.595636.60085

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous Halfspaceabcdefg81624324015.1114.4614.8135.5735.0335.5435.381. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUabcdefg60012001800240030002873.242880.582881.141175.671174.601180.851175.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragonabcdefg132639526560.1459.9159.7924.6924.7324.7024.82MIN: 58.97 / MAX: 62MIN: 58.66 / MAX: 61.96MIN: 58.46 / MAX: 62.03MIN: 24.62 / MAX: 24.84MIN: 24.67 / MAX: 24.86MIN: 24.63 / MAX: 24.84MIN: 24.74 / MAX: 25

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer - Model: Asian Dragon Objabcdefg122436486053.5753.8153.6922.2622.1622.1522.19MIN: 52.17 / MAX: 55.38MIN: 52.72 / MAX: 55.86MIN: 52.63 / MAX: 55.24MIN: 22.18 / MAX: 22.42MIN: 22.08 / MAX: 22.35MIN: 22.07 / MAX: 22.32MIN: 22.12 / MAX: 22.33

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUabcdefg50010001500200025002454.092450.262455.511036.991028.641041.871031.601. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon Objabcdefg132639526556.4956.6956.9323.8723.9423.9423.88MIN: 55.29 / MAX: 58.38MIN: 55.42 / MAX: 58.97MIN: 55.56 / MAX: 59.67MIN: 23.78 / MAX: 24.08MIN: 23.84 / MAX: 24.18MIN: 23.84 / MAX: 24.16MIN: 23.79 / MAX: 24.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragonabcdefg153045607567.3467.2067.5028.3628.3128.3228.48MIN: 65.61 / MAX: 70.54MIN: 65.48 / MAX: 70.41MIN: 65.64 / MAX: 71.17MIN: 28.26 / MAX: 28.59MIN: 28.21 / MAX: 28.56MIN: 28.23 / MAX: 28.55MIN: 28.37 / MAX: 28.69

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered Halfspaceabcdefg142842567026.9929.4627.0662.4462.3361.2862.811. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUabcdefg130026003900520065005882.915836.275840.532564.782562.542539.972557.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUabcdefg2004006008001000842.91854.51849.30370.57373.64369.26372.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic Modelabcdefg71421283512.3112.1012.0427.3327.4626.9727.751. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 96 - Buffer Length: 256 - Filter Length: 57abcdefg600M1200M1800M2400M3000M25598000002571100000256490000011208000001117800000112050000011182000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUabcdefg160320480640800748.44750.49757.38344.67342.81343.49341.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: File Status - Threads: 50 - Files: 100000abcdefg200K400K600K800K1000K529101862069657895632911389105709220561798

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 512abcdefg130M260M390M520M650M6225600006109500006226300002829200002818300002830300002817300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32abcdefg500M1000M1500M2000M2500M22077000002212100000220680000010595000001057500000105710000010562000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigabcdefg122436486027.3527.2427.4155.1755.0955.1555.17

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: File Status - Threads: 100 - Files: 1000000abcdefg400K800K1200K1600K2000K1886792161970189393960060123562719646372049180

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUabcdefg160320480640800393.60393.23393.37761.59761.16760.57759.92MIN: 363.29 / MAX: 431.61MIN: 360.87 / MAX: 433.13MIN: 362.57 / MAX: 433.51MIN: 738.34 / MAX: 772.36MIN: 741.99 / MAX: 776.56MIN: 741.4 / MAX: 770.88MIN: 737.63 / MAX: 771.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Remhos

Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRemhos 1.0Test: Sample Remap Exampleabcdefg71421283516.3516.7916.2430.7630.8530.7330.751. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUabcdefg90180270360450213.94213.62213.79398.52398.91399.24398.13MIN: 201.64 / MAX: 242.71MIN: 197.2 / MAX: 235.23MIN: 197.29 / MAX: 236.32MIN: 382.1 / MAX: 404.98MIN: 386.2 / MAX: 407.29MIN: 387.9 / MAX: 408.93MIN: 379.09 / MAX: 404.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 57abcdefg400M800M1200M1600M2000M19944000002001900000201030000010933000001095400000109460000010993000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 100 - Files: 100000abcdefg110K220K330K440K550K420168404858403226529101294985523560460829

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUabcdefg2040608010042.2442.0942.1974.8174.5474.8774.58MIN: 36.59 / MAX: 61.56MIN: 37.13 / MAX: 58.71MIN: 36.21 / MAX: 65.64MIN: 66.88 / MAX: 80.7MIN: 65.97 / MAX: 82.9MIN: 66.72 / MAX: 80.96MIN: 67.63 / MAX: 78.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUabcdefg2040608010042.4442.2042.4374.7174.5074.4374.71MIN: 36.14 / MAX: 61.98MIN: 36.84 / MAX: 61.97MIN: 36.31 / MAX: 62.36MIN: 66.12 / MAX: 81.09MIN: 66.5 / MAX: 80.32MIN: 65.68 / MAX: 83.49MIN: 66.29 / MAX: 79.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUabcdefg142842567037.8037.7937.7964.4164.6864.3164.77MIN: 33.35 / MAX: 56.45MIN: 32.97 / MAX: 53.7MIN: 33.29 / MAX: 54.88MIN: 37.44 / MAX: 73.04MIN: 38.02 / MAX: 72.52MIN: 50.85 / MAX: 70.77MIN: 55.8 / MAX: 69.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUabcdefg36912155.895.915.9010.0110.0610.0910.06MIN: 4.67 / MAX: 18.4MIN: 4.84 / MAX: 12.9MIN: 4.83 / MAX: 13.4MIN: 5.7 / MAX: 19.52MIN: 5.29 / MAX: 19.07MIN: 5.4 / MAX: 19.17MIN: 5.2 / MAX: 19.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 100 - Files: 100000abcdefg13K26K39K52K65K40733374253507557971588245938258928

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUabcdefg2468104.174.164.166.796.806.766.79MIN: 3.39 / MAX: 10.07MIN: 3.42 / MAX: 11.2MIN: 3.43 / MAX: 10.26MIN: 3.8 / MAX: 15.48MIN: 4.04 / MAX: 15.37MIN: 4.04 / MAX: 15.47MIN: 3.79 / MAX: 15.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 100 - Files: 1000000abcdefg15K30K45K60K75K46145444374400171296700577053770922

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUabcdefg2468104.884.894.887.707.777.677.74MIN: 3.95 / MAX: 16.05MIN: 3.93 / MAX: 13.44MIN: 3.9 / MAX: 14.94MIN: 5.51 / MAX: 16.06MIN: 5.42 / MAX: 16.35MIN: 5.32 / MAX: 16.6MIN: 6.06 / MAX: 12.661. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: File Status - Threads: 100 - Files: 100000abcdefg160K320K480K640K800K515464458716729927591716613497478469487805

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 512abcdefg90M180M270M360M450M4258100004296200004244000002737600002734800002733900002740700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUabcdefg0.70651.4132.11952.8263.53252.032.052.053.113.113.143.12MIN: 1.66 / MAX: 7.51MIN: 1.6 / MAX: 7MIN: 1.62 / MAX: 6.96MIN: 1.94 / MAX: 11.57MIN: 1.93 / MAX: 9.72MIN: 1.93 / MAX: 11.65MIN: 1.88 / MAX: 11.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUabcdefg51015202514.2314.0314.1221.5721.4021.6521.47MIN: 11.51 / MAX: 25.86MIN: 11.59 / MAX: 26.04MIN: 11.51 / MAX: 26.04MIN: 19.5 / MAX: 24.76MIN: 19.07 / MAX: 25.3MIN: 19.48 / MAX: 24.27MIN: 17.62 / MAX: 28.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 128abdefg20K40K60K80K100K857578909959727601456031059944

Test: oltp_read_write - Threads: 128

c: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 64abcdefg20K40K60K80K100K79090801837846955334538935495655301

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUabcdefg61218243016.0215.9815.8323.2023.3223.2823.42MIN: 12.5 / MAX: 33.94MIN: 12.74 / MAX: 33.34MIN: 12.38 / MAX: 32.97MIN: 15.1 / MAX: 31.6MIN: 19.49 / MAX: 30.99MIN: 15.73 / MAX: 30.77MIN: 20.46 / MAX: 32.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 50 - Files: 100000abcdefg13K26K39K52K65K43649412884393758617586175834360680

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 50 - Files: 100000abcdefg120K240K360K480K600K460829469484401606578035552486578035546448

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 100 - Files: 100000abcdefg20K40K60K80K100K8756690827734751057089803999404102564

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeabcdefg50100150200250215.10214.07214.14151.91151.51151.78151.68

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 50 - Files: 100000abcdefg20K40K60K80K100K91075738019058010101010060496993103950

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 50 - Files: 1000000abcdefg16K32K48K64K80K53665521195226072134708976992072706

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: Writesabcdefg60K120K180K240K300K248095256661270480197866195798196287197092

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 1abcdef13002600390052006500433144054471589859765954

Test: oltp_point_select - Threads: 1

g: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 8 - Input: Bosphorus 4Kabcdefg2040608010090.8191.3290.4266.9967.7267.3967.811. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 32abcdefg13K26K39K52K65K58974615205963046977467374714146993

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 100 - Files: 1000000abcdefg20K40K60K80K100K901148671597031112613113225110803113895

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 1abcdefg4008001200160020001328131213811693170816971705

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 1abcefg7001400210028003500254025102485320932183195

Test: oltp_read_write - Threads: 1

d: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Rename - Threads: 100 - Files: 1000000abcdefg20K40K60K80K100K73078721296682781208843608581585763

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 128acefg11K22K33K44K55K5110552865421384142441695

Test: oltp_update_non_index - Threads: 128

b: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

d: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 4Kabcdefg1.17072.34143.51214.68285.85355.2035.1495.0494.1074.1144.1384.1431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 50 - Files: 1000000abcdefg20K40K60K80K100K989329731490147111012113327111198110828

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 1acdefg30060090012001500121211891479149014831481

Test: oltp_update_index - Threads: 1

b: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 1080pabcdefg110220330440550422.99427.69431.90526.22525.17521.52528.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Rename - Threads: 100 - Files: 100000abcdefg20K40K60K80K100K75529693486715982102838227949180386

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512abcdefg6M12M18M24M30M279010002773600028227000246270002520700025199000227270001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 128abcdef30K60K90K120K150K159242159728149962129492129904130389

Test: oltp_point_select - Threads: 128

g: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 57abcdefg300M600M900M1200M1500M11921000001214200000125480000010350000001032000000102460000010334000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 64abcdefg9K18K27K36K45K41281397593910634224338813447034107

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 8 - Input: Bosphorus 1080pabcdefg306090120150141.22138.34143.55118.95119.31118.49118.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 1080pabcdefg130260390520650510.36542.61516.91604.99597.01585.37586.751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Rename - Threads: 50 - Files: 1000000abcdefg20K40K60K80K100K73239716797463883921840418250184810

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicabcdefg2000M4000M6000M8000M10000M67677100006757360000675417000079345700007931010000795579000079649100001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 1080pabcdefg369121512.4812.5912.6210.9110.9810.7411.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Rename - Threads: 50 - Files: 100000abcdefg20K40K60K80K100K70522730467710182372822378163382237

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512abcdefg3M6M9M12M15M139090001402100014225000126830001236600012681000122560001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 64bcdef5K10K15K20K25K2437123324211082127121067

Test: oltp_update_index - Threads: 64

a: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

g: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamabcdefg81624324035.6335.6435.6831.0530.9931.0331.06

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32abcdefg17M34M51M68M85M771810007701900076924000670540006884600068861000686780001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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: bf16bf16bf16 - Engine: CPUdefg0.25750.5150.77251.031.28751.037491.144321.001361.12723MIN: 0.92MIN: 1.07MIN: 0.92MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 32 - Buffer Length: 256 - Filter Length: 32abcdefg300M600M900M1200M1500M11835000001190300000118480000010471000001046600000104190000010471000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 512abcdefg20M40M60M80M100M1098700001080800001091400009959400097005000994410001001700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 57abcdefg30M60M90M120M150M1174900001140100001185500001056500001054800001057400001048000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 64abdefg30K60K90K120K150K127567130802115675118657119092118549

Test: oltp_point_select - Threads: 64

c: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 57abcdefg13M26M39M52M65M594010005929600057519000526650005282700052879000528540001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawabcdefg2000M4000M6000M8000M10000M11106900000112403000001082670000010318900000102640000009976450000105006000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512abcdefg12M24M36M48M60M529110005558800055165000502580005038000049977000495560001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32abcdefg8M16M24M32M40M394990003948600039453000352280003531500035271000352360001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 128abcefg6K12K18K24K30K270872746426546246112483024574

Test: oltp_update_index - Threads: 128

d: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512abcdefg50M100M150M200M250M2160800002161500002149100001938500001960400001945000001946700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32abcdefg70M140M210M280M350M3075400003051100003067600002780300002777800002763900002774100001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32abcdefg130M260M390M520M650M5942300006024700006036500005453600005451400005450200005430500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32abcdefg30M60M90M120M150M1538500001536900001536700001386000001386200001385800001384600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcdefg0.12150.2430.36450.4860.60750.540.540.540.490.490.490.49MIN: 0.45 / MAX: 7.64MIN: 0.45 / MAX: 7.81MIN: 0.45 / MAX: 5.03MIN: 0.3 / MAX: 9.28MIN: 0.3 / MAX: 9.07MIN: 0.3 / MAX: 8.2MIN: 0.3 / MAX: 8.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 32abdef6K12K18K24K30K2873528914262732628526695

Test: oltp_update_non_index - Threads: 32

c: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

g: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 32abdefg20K40K60K80K100K10462710618098149969079736896840

Test: oltp_point_select - Threads: 32

c: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUabcdefg91827364538.5038.6638.7540.4036.9837.0136.98MIN: 36.77 / MAX: 44.23MIN: 37.22 / MAX: 43.52MIN: 37.46 / MAX: 43.52MIN: 26.93 / MAX: 74.83MIN: 32.02 / MAX: 44.78MIN: 32.25 / MAX: 43.6MIN: 32.61 / MAX: 41.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg4812162016.9117.0716.8915.7215.6215.7215.69

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUabcdefg1.09352.1873.28054.3745.46754.864.854.864.514.514.504.52MIN: 4.23 / MAX: 12.81MIN: 4.25 / MAX: 12.86MIN: 4.34 / MAX: 12.27MIN: 2.98 / MAX: 13.05MIN: 2.96 / MAX: 16.06MIN: 2.98 / MAX: 13.86MIN: 2.77 / MAX: 13.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg1.12412.24823.37234.49645.62054.65084.64764.63484.99604.98594.98774.9787

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 16bcefg15K30K45K60K75K6751565406702507010569923

Test: oltp_point_select - Threads: 16

a: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

d: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 32abcdeg4K8K12K16K20K183611781717565176121711717135

Test: oltp_update_index - Threads: 32

f: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamabcdefg80160240320400347.66347.22347.37325.88325.74324.96325.51

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 3D - Data Type: u8s8f32 - Engine: CPUdefg0.13780.27560.41340.55120.6890.6039500.5757940.6008340.612320MIN: 0.53MIN: 0.52MIN: 0.53MIN: 0.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 16abcdefg8K16K24K32K40K38331369503736836480367843612536088

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamabcdefg306090120150118.75118.95118.78112.25112.06112.41112.48

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 3D - Data Type: f32 - Engine: CPUdefg0.28810.57620.86431.15241.44051.257581.280431.206531.27918MIN: 1.21MIN: 1.24MIN: 1.18MIN: 1.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUabcdefg4812162016.2616.0216.0215.3615.3615.3815.37MIN: 14.71 / MAX: 28.14MIN: 14.41 / MAX: 30.55MIN: 14.63 / MAX: 33.79MIN: 8.08 / MAX: 24.34MIN: 8.02 / MAX: 23.81MIN: 7.99 / MAX: 24MIN: 7.99 / MAX: 23.981. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 57abcdefg80M160M240M320M400M3694300003669300003669900003633100003579900003504500003578100001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamabcdefg306090120150150.59150.61145.26143.76144.10143.69144.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamabcdefg110220330440550485.72487.36507.48493.60494.26494.22495.60

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUabcdefg2468108.288.278.247.937.967.977.96MIN: 7.44 / MAX: 23.35MIN: 7.37 / MAX: 25.18MIN: 7.62 / MAX: 23.32MIN: 4.2 / MAX: 16.92MIN: 4.19 / MAX: 16.59MIN: 4.37 / MAX: 16.86MIN: 4.19 / MAX: 14.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUabcdefg71421283530.7231.0030.8930.0230.1029.9529.72MIN: 29.51 / MAX: 35.07MIN: 29.59 / MAX: 36.33MIN: 29.48 / MAX: 36.29MIN: 18.78 / MAX: 38.72MIN: 22.61 / MAX: 39.15MIN: 19.01 / MAX: 38.08MIN: 19.46 / MAX: 38.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 57abcdefg40M80M120M160M200M1962200001965900001945100001889300001912300001898800001907500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 4Kabcdefg4080120160200163.46166.38163.06163.19162.61161.85160.321. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 16abdeg4K8K12K16K20K1809518068185631855718735

Test: oltp_update_non_index - Threads: 16

c: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

f: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 57abcdefg150M300M450M600M750M6997400006927600006749300006891500006929200006933400006820700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 4Kabcdefg4080120160200163.01166.69161.50161.85162.05160.80161.321. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 3D - Data Type: bf16bf16bf16 - Engine: CPUdefg0.23880.47760.71640.95521.1941.028751.054251.061441.04567MIN: 0.96MIN: 0.97MIN: 0.98MIN: 0.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcdefg0.07880.15760.23640.31520.3940.340.340.340.350.350.350.35MIN: 0.29 / MAX: 7.33MIN: 0.29 / MAX: 10.87MIN: 0.29 / MAX: 7.09MIN: 0.23 / MAX: 9.09MIN: 0.23 / MAX: 8.84MIN: 0.23 / MAX: 9.15MIN: 0.23 / MAX: 8.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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: CPUdefg0.57721.15441.73162.30882.8862.494082.565222.497142.51441MIN: 2.3MIN: 2.32MIN: 2.26MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6defg50M100M150M200M250M2409945002362439002365910002371757001. (CXX) g++ options: -O3 -fopenmp -ldl

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400defg2040608010098.9899.4297.9997.531. (CXX) g++ options: -O3 -fopenmp

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamabcdefg2040608010074.3274.5674.5073.3173.2673.2273.19

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: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUdefg2004006008001000849.16851.66849.34837.60MIN: 806.44MIN: 809.45MIN: 805.8MIN: 796.611. (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: CPUdefg2004006008001000838.52849.71851.49848.03MIN: 796.3MIN: 805.98MIN: 807.97MIN: 807.341. (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: CPUdefg0.35390.70781.06171.41561.76951.558241.549111.572821.55118MIN: 1.51MIN: 1.51MIN: 1.53MIN: 1.521. (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: CPUdefg0.1480.2960.4440.5920.740.6522590.6576100.6531820.647700MIN: 0.57MIN: 0.57MIN: 0.57MIN: 0.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon Objdefg61218243023.3523.5323.5023.71MIN: 23.26 / MAX: 23.57MIN: 23.43 / MAX: 23.73MIN: 23.4 / MAX: 23.74MIN: 23.61 / MAX: 23.93

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 16acdefg3K6K9K12K15K125581268112622125671269212627

Test: oltp_update_index - Threads: 16

b: The test quit with a non-zero exit status. E: FATAL: Thread initialization failed!

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Crowndefg51015202521.8921.9921.7721.83MIN: 21.74 / MAX: 22.23MIN: 21.84 / MAX: 22.32MIN: 21.63 / MAX: 22.18MIN: 21.69 / MAX: 22.17

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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUdefg0.14260.28520.42780.57040.7130.6282360.6339750.6303250.629108MIN: 0.6MIN: 0.6MIN: 0.6MIN: 0.61. (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: CPUdefg0.19140.38280.57420.76560.9570.8478050.8444340.8506910.843492MIN: 0.83MIN: 0.83MIN: 0.83MIN: 0.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg20406080100109.80109.23109.58110.11109.97110.00109.90

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: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUdefg2004006008001000847.38841.08845.31847.42MIN: 806.33MIN: 798.46MIN: 803.78MIN: 806.721. (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: CPUdefg0.86491.72982.59473.45964.32453.815763.844213.818233.82381MIN: 3.26MIN: 3.27MIN: 3.25MIN: 3.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamabcdefg112233445549.3749.1149.0249.0949.0149.0749.03

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamabcdefg81624324033.3433.3833.4633.2233.2633.2833.37

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUdefg0.480.961.441.922.42.133322.125702.130622.11813MIN: 2MIN: 2.01MIN: 1.97MIN: 1.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamabcdefg112233445549.0148.9749.2148.8749.0649.0748.98

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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUdefg4008001200160020001642.511639.361636.441631.99MIN: 1593.16MIN: 1581.93MIN: 1585.81MIN: 1581.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragondefg71421283527.7427.8327.8327.91MIN: 27.64 / MAX: 27.98MIN: 27.72 / MAX: 28.1MIN: 27.73 / MAX: 28.13MIN: 27.81 / MAX: 28.17

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240defg0.37280.74561.11841.49121.8641.6571.6541.6571.6481. (CXX) g++ options: -O3 -fopenmp

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragondefg61218243024.8524.8324.8924.96MIN: 24.78 / MAX: 25MIN: 24.76 / MAX: 24.96MIN: 24.81 / MAX: 25.06MIN: 24.9 / MAX: 25.13

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 Scalardefg4080120160200191190191191MIN: 13 / MAX: 3471MIN: 13 / MAX: 3484MIN: 13 / MAX: 3484MIN: 13 / MAX: 3483

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamabcdefg130260390520650605.76606.67605.88606.58606.76606.79608.72

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamabcdefg130260390520650605.04605.73605.92606.10607.91607.82607.16

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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUdefg0.30190.60380.90571.20761.50951.337891.338611.341831.33564MIN: 1.31MIN: 1.31MIN: 1.31MIN: 1.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crowndefg51015202522.3922.3422.4422.42MIN: 22.2 / MAX: 22.85MIN: 22.15 / MAX: 22.75MIN: 22.25 / MAX: 22.78MIN: 22.22 / MAX: 22.85

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon Objdefg51015202522.3522.2922.2722.26MIN: 22.28 / MAX: 22.5MIN: 22.22 / MAX: 22.46MIN: 22.2 / MAX: 22.44MIN: 22.18 / MAX: 22.43

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 ISPCdefg110220330440550487487488489MIN: 36 / MAX: 6949MIN: 36 / MAX: 6956MIN: 36 / MAX: 6952MIN: 36 / MAX: 6969

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200defg91827364538.1138.0738.0237.951. (CXX) g++ options: -O3 -fopenmp

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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdefg4008001200160020001641.921641.001636.761637.37MIN: 1584.81MIN: 1595.55MIN: 1585.98MIN: 1584.581. (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: CPUdefg0.68931.37862.06792.75723.44653.059913.063703.056743.05458MIN: 2.96MIN: 2.97MIN: 2.97MIN: 2.971. (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: CPUdefg0.43150.8631.29451.7262.15751.913741.917811.914221.91274MIN: 1.88MIN: 1.88MIN: 1.88MIN: 1.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.5Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamabcdefg20406080100111.01110.92111.03111.11111.09110.89110.98

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: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUdefg0.76151.5232.28453.0463.80753.377823.384363.379563.38156MIN: 3.33MIN: 3.33MIN: 3.33MIN: 3.331. (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: CPUdefg4008001200160020001643.991643.971642.351641.40MIN: 1588.03MIN: 1590.89MIN: 1586.17MIN: 1589.911. (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: RTLightmap.hdr.4096x4096 - Device: CPU-Onlydefg0.07650.1530.22950.3060.38250.340.340.340.34

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlydefg0.1620.3240.4860.6480.810.720.720.720.72

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlydefg0.1620.3240.4860.6480.810.720.720.720.72

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

Build: allmodconfig

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

d: The test quit with a non-zero exit status.

e: The test quit with a non-zero exit status.

f: The test quit with a non-zero exit status.

g: The test quit with a non-zero exit status.

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

Model: INIVOL and Fluid Structure Interaction Drop Container

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

Model: Rubber O-Ring Seal Installation

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

Model: Bird Strike on Windshield

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

Model: Cell Phone Drop Test

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

Model: Chrysler Neon 1M

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

Model: Bumper Beam

a: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

b: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

c: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

d: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

e: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

f: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

g: The test run did not produce a result. E: ./engine_linux64_gf_ompi: error while loading shared libraries: libmpi.so.40: cannot open shared object file: No such file or directory

205 Results Shown

Apache Hadoop:
  File Status - 50 - 1000000
  Open - 100 - 1000000
  Open - 50 - 1000000
Neural Magic DeepSparse
OpenVINO
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  ResNet-50, Baseline - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream
OpenVINO:
  Handwritten English Recognition FP16 - CPU
  Face Detection FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
OpenVINO
Neural Magic DeepSparse
Liquid-DSP
Neural Magic DeepSparse
OpenVINO
Neural Magic DeepSparse
Blender
OpenVINO
Blender:
  Classroom - CPU-Only
  BMW27 - CPU-Only
OpenVINO
Blender
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Detection FP32 - CPU
SPECFEM3D
OpenVINO
Blender
Neural Magic DeepSparse
BRL-CAD
Embree
OpenVINO:
  Machine Translation EN To DE FP16 - CPU
  Vehicle Detection FP16 - CPU
Intel Open Image Denoise:
  RTLightmap.hdr.4096x4096 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
OSPRay
Intel Open Image Denoise
OSPRay
Embree
SPECFEM3D
Liquid-DSP
OSPRay
SPECFEM3D
OpenVINO
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
OpenVINO
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
SPECFEM3D
OpenVINO:
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
SPECFEM3D
Liquid-DSP
OpenVINO
Apache Hadoop
Liquid-DSP:
  64 - 256 - 512
  64 - 256 - 32
Timed Linux Kernel Compilation
Apache Hadoop
OpenVINO
Remhos
OpenVINO
Liquid-DSP
Apache Hadoop
OpenVINO:
  Person Detection FP32 - CPU
  Person Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Vehicle Detection FP16 - CPU
Apache Hadoop
OpenVINO
Apache Hadoop
OpenVINO
Apache Hadoop
Liquid-DSP
OpenVINO:
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
TiDB Community Server:
  oltp_read_write - 128
  oltp_read_write - 64
OpenVINO
Apache Hadoop:
  Create - 50 - 100000
  Open - 50 - 100000
  Delete - 100 - 100000
OSPRay
Apache Hadoop:
  Delete - 50 - 100000
  Create - 50 - 1000000
Apache Cassandra
TiDB Community Server
SVT-AV1
TiDB Community Server
Apache Hadoop
TiDB Community Server:
  oltp_update_non_index - 1
  oltp_read_write - 1
Apache Hadoop
TiDB Community Server
SVT-AV1
Apache Hadoop
TiDB Community Server
SVT-AV1
Apache Hadoop
Liquid-DSP
TiDB Community Server
Liquid-DSP
TiDB Community Server
SVT-AV1:
  Preset 8 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Apache Hadoop
nekRS
SVT-AV1
Apache Hadoop
Liquid-DSP
TiDB Community Server
Neural Magic DeepSparse
Liquid-DSP
oneDNN
Liquid-DSP:
  32 - 256 - 32
  8 - 256 - 512
  2 - 256 - 57
TiDB Community Server
Liquid-DSP
nekRS
Liquid-DSP:
  4 - 256 - 512
  1 - 256 - 32
TiDB Community Server
Liquid-DSP:
  16 - 256 - 512
  8 - 256 - 32
  16 - 256 - 32
  4 - 256 - 32
OpenVINO
TiDB Community Server:
  oltp_update_non_index - 32
  oltp_point_select - 32
OpenVINO
Neural Magic DeepSparse
OpenVINO
Neural Magic DeepSparse
TiDB Community Server:
  oltp_point_select - 16
  oltp_update_index - 32
Neural Magic DeepSparse
oneDNN
TiDB Community Server
Neural Magic DeepSparse
oneDNN
OpenVINO
Liquid-DSP
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU
  Handwritten English Recognition FP16 - CPU
Liquid-DSP
SVT-AV1
TiDB Community Server
Liquid-DSP
SVT-AV1
oneDNN
OpenVINO
oneDNN
Kripke
easyWave
Neural Magic DeepSparse
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
Embree
TiDB Community Server
Embree
oneDNN:
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
Neural Magic DeepSparse
oneDNN:
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
Neural Magic DeepSparse:
  ResNet-50, Baseline - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream
oneDNN
Neural Magic DeepSparse
oneDNN
Embree
easyWave
Embree
OpenVKL
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
oneDNN
Embree:
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon Obj
OpenVKL
easyWave
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
Neural Magic DeepSparse
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
Intel Open Image Denoise:
  RTLightmap.hdr.4096x4096 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RT.hdr_alb_nrm.3840x2160 - CPU-Only

a

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 October 2023 01:18 by user .

b

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 October 2023 13:27 by user .

c

Processor: 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads), Motherboard: Supermicro H13DSH (1.5 BIOS), Memory: 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb

OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 7 October 2023 19:27 by user .

d

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 October 2023 12:43 by user .

e

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 October 2023 22:56 by user .

f

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 October 2023 12:57 by user .

g

Processor: AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H13SSW (1.1 BIOS), Memory: 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb

OS: AlmaLinux 9.2, Kernel: 5.14.0-284.25.1.el9_2.x86_64 (x86_64), Compiler: GCC 11.3.1 20221121, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111
Java Notes: OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS)
Python Notes: Python 3.9.16
Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 22 October 2023 13:18 by user .