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
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October 21 2023
  6 Hours, 19 Minutes
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October 22 2023
  5 Hours, 59 Minutes
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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. ,,"a","b","c","d","e","f","g" Processor,,2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads),2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads),2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads),AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads) Motherboard,,Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13SSW (1.1 BIOS),Supermicro H13SSW (1.1 BIOS),Supermicro H13SSW (1.1 BIOS),Supermicro H13SSW (1.1 BIOS) Memory,,24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N,12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N,12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N,12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N Disk,,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07 Graphics,,astdrmfb,astdrmfb,astdrmfb,astdrmfb,astdrmfb,astdrmfb,astdrmfb OS,,AlmaLinux 9.2,AlmaLinux 9.2,AlmaLinux 9.2,AlmaLinux 9.2,AlmaLinux 9.2,AlmaLinux 9.2,AlmaLinux 9.2 Kernel,,5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64),5.14.0-284.25.1.el9_2.x86_64 (x86_64) Compiler,,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768,1024x768,1024x768,1024x768,1024x768 ,,"a","b","c","d","e","f","g" "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,2173913,1941748,284252,1818182,320924,1795332,2036660 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,215332,173822,185874,1248439,1204819,1303781,1107420 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,1126126,1020408,683995,278319,251004,1221001,654022 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,5137.0114,5138.8341,5153.6644,1599.2079,1599.1543,1600.5275,1602.5221 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,1244.69,1239.67,1237.29,395.66,432.32,431.94,432.2 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,49.3258,49.1666,47.1535,16.1648,16.1392,16.1307,16.0672 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,39.4951,39.4681,39.4464,13.0694,12.9433,13.0853,13.073 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,218.1464,219.5263,218.5162,72.455,72.6571,72.5736,72.6879 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,39.4391,39.4539,39.4183,13.1312,13.1187,13.0934,13.0596 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,489.1203,489.4464,487.0522,163.5559,162.9298,162.8976,163.2282 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,485.6725,488.1264,489.1106,162.8502,163.1361,162.9294,162.9937 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,215.6383,215.9254,215.647,71.9189,71.9146,71.9401,71.9003 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,718.9189,717.9693,716.1404,240.5529,240.2349,240.1642,239.5176 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,158.924,159.0596,164.6131,55.6132,55.4634,55.5428,55.4264 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,322.2505,321.1829,321.5082,108.909,109.0938,109.09,109.2191 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,1560.03,1546.02,1551.63,532.59,530.99,533.74,538.01 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,30.41,30.44,30.43,10.47,10.47,10.48,10.48 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,5776.94,5780.44,5802.65,2013.77,2007.53,2004.76,2006.09 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,15.986,15.9785,15.9872,5.57469,5.54107,5.5732,5.57553 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,15.9528,15.9888,15.9778,5.57001,5.56353,5.55581,5.56539 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,2945.26,2986.46,2987.33,1039.61,1039.82,1038.47,1039.37 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,201.3925,201.2528,201.5402,71.137,71.2727,71.044,70.9275 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3005800000,2995400000,2999800000,1065200000,1065100000,1065300000,1065700000 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,68.5988,68.6617,68.6287,24.4833,24.4725,24.5238,24.4607 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,56.01,56.06,56.02,20.03,20,20.01,20.05 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1417.0706,1403.065,1418.9041,508.087,511.4098,508.2088,509.139 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,80.54,80.76,80.41,224.15,224.1,223.95,224.12 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,9837.58,9849.07,9845.27,3540.88,3544.18,3548.78,3533.64 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,66.42,66.64,66.72,182.99,182.56,181.7,183.29 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,26.2,26.24,26.12,72,71.44,71.96,72.01 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,120606.38,120728.22,123484.28,44958.07,44933.27,44968.43,45097.99 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,33.22,33.17,33.03,90.03,90.31,90.26,90.63 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,86884.64,87359.23,86789.8,32002.62,32032.06,31951.64,32008.03 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,283.97,284.99,284.31,106.9,107.24,106.76,107.24 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,26.885983804,28.65210863,27.490850157,71.614294327,70.189028506,70.542255905,69.955609165 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,282.55,284.22,282.67,107.02,107.27,107.39,107.04 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,254.88,255.3,254.72,670.87,670.64,667.87,669.09 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,672.4635,672.3734,671.2554,257.2728,257.894,257.5046,257.2808 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,772162,768517,762529,298064,296125,295603,295522 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,54.9017,55.3925,55.4037,21.4811,21.4357,21.5913,21.5847 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,317.22,317.28,317.33,124.12,123.61,124.3,123.41 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2033.17,2028.01,2029.79,797.64,793.75,791.74,793.9 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.86,0.86,0.87,0.34,0.34,0.34,0.34 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.84,1.84,1.82,0.72,0.72,0.72,0.72 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,13.8739,13.7666,13.8317,5.45329,5.46153,5.45227,5.47725 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.83,1.83,1.83,0.72,0.72,0.72,0.72 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,14.2369,14.1783,14.1399,5.60747,5.6204,5.61454,5.62278 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,56.0871,56.4551,56.8078,22.585,22.5694,22.6566,22.7745 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,11.024765775,11.318495709,11.32735977,26.736414118,26.799143446,26.873168455,27.696631371 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,711640000,718140000,715030000,286250000,285880000,285920000,286530000 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,16.3468,16.4365,16.535,6.58745,6.5827,6.59563,6.60085 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,15.10511773,14.46058698,14.808273365,35.571684908,35.030134889,35.535073001,35.378600021 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2873.24,2880.58,2881.14,1175.67,1174.6,1180.85,1175.58 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,60.1449,59.9124,59.7929,24.6872,24.7343,24.7047,24.8193 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,53.5733,53.8135,53.6927,22.2614,22.1577,22.149,22.1901 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,2454.09,2450.26,2455.51,1036.99,1028.64,1041.87,1031.6 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,56.4853,56.6902,56.9327,23.8733,23.9393,23.9354,23.8796 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,67.3378,67.1951,67.5038,28.3643,28.3141,28.3237,28.4793 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,26.985020908,29.460761197,27.060235079,62.441749585,62.325146828,61.281769124,62.810924376 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,5882.91,5836.27,5840.53,2564.78,2562.54,2539.97,2557.66 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,842.91,854.51,849.3,370.57,373.64,369.26,372.26 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,12.312946652,12.100595947,12.040917877,27.330985588,27.459821308,26.973757395,27.746475162 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2559800000,2571100000,2564900000,1120800000,1117800000,1120500000,1118200000 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,748.44,750.49,757.38,344.67,342.81,343.49,341.36 "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 100000 (Ops per sec)",HIB,529101,862069,657895,632911,389105,709220,561798 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,622560000,610950000,622630000,282920000,281830000,283030000,281730000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2207700000,2212100000,2206800000,1059500000,1057500000,1057100000,1056200000 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,27.354,27.241,27.408,55.173,55.093,55.148,55.172 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,1886792,161970,1893939,600601,235627,1964637,2049180 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,393.6,393.23,393.37,761.59,761.16,760.57,759.92 "Remhos - Test: Sample Remap Example (sec)",LIB,16.346,16.791,16.243,30.761,30.845,30.725,30.75 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,213.94,213.62,213.79,398.52,398.91,399.24,398.13 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1994400000,2001900000,2010300000,1093300000,1095400000,1094600000,1099300000 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 100000 (Ops per sec)",HIB,420168,404858,403226,529101,294985,523560,460829 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,42.24,42.09,42.19,74.81,74.54,74.87,74.58 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,42.44,42.2,42.43,74.71,74.5,74.43,74.71 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,37.8,37.79,37.79,64.41,64.68,64.31,64.77 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,5.89,5.91,5.9,10.01,10.06,10.09,10.06 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 100000 (Ops per sec)",HIB,40733,37425,35075,57971,58824,59382,58928 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.17,4.16,4.16,6.79,6.8,6.76,6.79 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,46145,44437,44001,71296,70057,70537,70922 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,4.88,4.89,4.88,7.7,7.77,7.67,7.74 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 100000 (Ops per sec)",HIB,515464,458716,729927,591716,613497,478469,487805 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,425810000,429620000,424400000,273760000,273480000,273390000,274070000 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,2.03,2.05,2.05,3.11,3.11,3.14,3.12 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,14.23,14.03,14.12,21.57,21.4,21.65,21.47 "TiDB Community Server - Test: oltp_read_write - Threads: 128 (Queries/sec)",HIB,85757,89099,,59727,60145,60310,59944 "TiDB Community Server - Test: oltp_read_write - Threads: 64 (Queries/sec)",HIB,79090,80183,78469,55334,53893,54956,55301 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,16.02,15.98,15.83,23.2,23.32,23.28,23.42 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 100000 (Ops per sec)",HIB,43649,41288,43937,58617,58617,58343,60680 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 100000 (Ops per sec)",HIB,460829,469484,401606,578035,552486,578035,546448 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 100000 (Ops per sec)",HIB,87566,90827,73475,105708,98039,99404,102564 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,215.096,214.074,214.136,151.905,151.506,151.78,151.681 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 100000 (Ops per sec)",HIB,91075,73801,90580,101010,100604,96993,103950 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,53665,52119,52260,72134,70897,69920,72706 "Apache Cassandra - Test: Writes (Op/s)",HIB,248095,256661,270480,197866,195798,196287,197092 "TiDB Community Server - Test: oltp_point_select - Threads: 1 (Queries/sec)",HIB,4331,4405,4471,5898,5976,5954, "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,90.811,91.322,90.417,66.988,67.721,67.393,67.811 "TiDB Community Server - Test: oltp_read_write - Threads: 32 (Queries/sec)",HIB,58974,61520,59630,46977,46737,47141,46993 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,90114,86715,97031,112613,113225,110803,113895 "TiDB Community Server - Test: oltp_update_non_index - Threads: 1 (Queries/sec)",HIB,1328,1312,1381,1693,1708,1697,1705 "TiDB Community Server - Test: oltp_read_write - Threads: 1 (Queries/sec)",HIB,2540,2510,2485,,3209,3218,3195 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,73078,72129,66827,81208,84360,85815,85763 "TiDB Community Server - Test: oltp_update_non_index - Threads: 128 (Queries/sec)",HIB,51105,,52865,,42138,41424,41695 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.203,5.149,5.049,4.107,4.114,4.138,4.143 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,98932,97314,90147,111012,113327,111198,110828 "TiDB Community Server - Test: oltp_update_index - Threads: 1 (Queries/sec)",HIB,1212,,1189,1479,1490,1483,1481 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,422.994,427.686,431.895,526.216,525.173,521.518,528.533 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 100000 (Ops per sec)",HIB,75529,69348,67159,82102,83822,79491,80386 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,27901000,27736000,28227000,24627000,25207000,25199000,22727000 "TiDB Community Server - Test: oltp_point_select - Threads: 128 (Queries/sec)",HIB,159242,159728,149962,129492,129904,130389, "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1192100000,1214200000,1254800000,1035000000,1032000000,1024600000,1033400000 "TiDB Community Server - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,41281,39759,39106,34224,33881,34470,34107 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,141.219,138.338,143.545,118.946,119.307,118.486,118.481 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,510.361,542.611,516.906,604.986,597.011,585.368,586.748 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,73239,71679,74638,83921,84041,82501,84810 "nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,6767710000,6757360000,6754170000,7934570000,7931010000,7955790000,7964910000 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,12.477,12.591,12.617,10.91,10.984,10.736,11.016 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 100000 (Ops per sec)",HIB,70522,73046,77101,82372,82237,81633,82237 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,13909000,14021000,14225000,12683000,12366000,12681000,12256000 "TiDB Community Server - Test: oltp_update_index - Threads: 64 (Queries/sec)",HIB,,24371,23324,21108,21271,21067, "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,35.628,35.6422,35.6825,31.0525,30.9867,31.0292,31.0574 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,77181000,77019000,76924000,67054000,68846000,68861000,68678000 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.03749,1.14432,1.00136,1.12723 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1183500000,1190300000,1184800000,1047100000,1046600000,1041900000,1047100000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,109870000,108080000,109140000,99594000,97005000,99441000,100170000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,117490000,114010000,118550000,105650000,105480000,105740000,104800000 "TiDB Community Server - Test: oltp_point_select - Threads: 64 (Queries/sec)",HIB,127567,130802,,115675,118657,119092,118549 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,59401000,59296000,57519000,52665000,52827000,52879000,52854000 "nekRS - Input: Kershaw (flops/rank)",HIB,11106900000,11240300000,10826700000,10318900000,10264000000,9976450000,10500600000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,52911000,55588000,55165000,50258000,50380000,49977000,49556000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,39499000,39486000,39453000,35228000,35315000,35271000,35236000 "TiDB Community Server - Test: oltp_update_index - Threads: 128 (Queries/sec)",HIB,27087,27464,26546,,24611,24830,24574 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,216080000,216150000,214910000,193850000,196040000,194500000,194670000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,307540000,305110000,306760000,278030000,277780000,276390000,277410000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,594230000,602470000,603650000,545360000,545140000,545020000,543050000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,153850000,153690000,153670000,138600000,138620000,138580000,138460000 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.54,0.54,0.54,0.49,0.49,0.49,0.49 "TiDB Community Server - Test: oltp_update_non_index - Threads: 32 (Queries/sec)",HIB,28735,28914,,26273,26285,26695, "TiDB Community Server - Test: oltp_point_select - Threads: 32 (Queries/sec)",HIB,104627,106180,,98149,96907,97368,96840 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,38.5,38.66,38.75,40.4,36.98,37.01,36.98 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,16.9074,17.0669,16.8863,15.7246,15.6245,15.721,15.6892 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,4.86,4.85,4.86,4.51,4.51,4.5,4.52 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,4.6508,4.6476,4.6348,4.996,4.9859,4.9877,4.9787 "TiDB Community Server - Test: oltp_point_select - Threads: 16 (Queries/sec)",HIB,,67515,65406,,70250,70105,69923 "TiDB Community Server - Test: oltp_update_index - Threads: 32 (Queries/sec)",HIB,18361,17817,17565,17612,17117,,17135 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,347.6612,347.2189,347.3728,325.8763,325.7416,324.9568,325.5075 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.60395,0.575794,0.600834,0.61232 "TiDB Community Server - Test: oltp_read_write - Threads: 16 (Queries/sec)",HIB,38331,36950,37368,36480,36784,36125,36088 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,118.7509,118.9482,118.7801,112.2499,112.0574,112.413,112.4779 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,1.25758,1.28043,1.20653,1.27918 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,16.26,16.02,16.02,15.36,15.36,15.38,15.37 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,369430000,366930000,366990000,363310000,357990000,350450000,357810000 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,150.5897,150.6055,145.2562,143.7643,144.1013,143.6922,144.1053 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,485.7175,487.3599,507.4786,493.596,494.2575,494.2211,495.6033 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.28,8.27,8.24,7.93,7.96,7.97,7.96 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,30.72,31,30.89,30.02,30.1,29.95,29.72 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,196220000,196590000,194510000,188930000,191230000,189880000,190750000 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,163.459,166.378,163.055,163.189,162.608,161.847,160.322 "TiDB Community Server - Test: oltp_update_non_index - Threads: 16 (Queries/sec)",HIB,18095,18068,,18563,18557,,18735 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,699740000,692760000,674930000,689150000,692920000,693340000,682070000 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,163.013,166.692,161.495,161.854,162.051,160.798,161.324 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.02875,1.05425,1.06144,1.04567 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.34,0.34,0.34,0.35,0.35,0.35,0.35 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,2.49408,2.56522,2.49714,2.51441 "Kripke - (Throughput FoM)",HIB,,,,240994500,236243900,236591000,237175700 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,,,,98.98,99.415,97.987,97.529 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,74.3211,74.5553,74.5031,73.3058,73.2609,73.2163,73.1867 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,849.163,851.659,849.344,837.595 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,,,838.516,849.712,851.494,848.032 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,1.55824,1.54911,1.57282,1.55118 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.652259,0.65761,0.653182,0.6477 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,,,,23.3531,23.5283,23.5042,23.7091 "TiDB Community Server - Test: oltp_update_index - Threads: 16 (Queries/sec)",HIB,12558,,12681,12622,12567,12692,12627 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,,,,21.8943,21.9909,21.7746,21.8305 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.628236,0.633975,0.630325,0.629108 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.847805,0.844434,0.850691,0.843492 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,109.8027,109.2332,109.5847,110.1114,109.9654,110.0001,109.9037 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,847.38,841.078,845.308,847.417 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,3.81576,3.84421,3.81823,3.82381 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.3653,49.1082,49.0173,49.0863,49.0094,49.0712,49.0259 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,33.3412,33.3798,33.4637,33.2242,33.2625,33.2751,33.3674 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,,,2.13332,2.1257,2.13062,2.11813 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.0092,48.9703,49.2055,48.8729,49.0598,49.0714,48.9837 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,1642.51,1639.36,1636.44,1631.99 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,,,,27.7438,27.8293,27.826,27.91 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,,,,1.657,1.654,1.657,1.648 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,,,,24.845,24.8282,24.887,24.9619 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,,,,191,190,191,191 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,605.758,606.6693,605.8765,606.5773,606.755,606.7852,608.7163 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,605.0388,605.7307,605.9183,606.101,607.913,607.8171,607.1628 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.33789,1.33861,1.34183,1.33564 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,,,,22.3922,22.3422,22.4407,22.4215 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,,,,22.3517,22.2911,22.2676,22.2559 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,,,,487,487,488,489 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,,,,38.105,38.067,38.015,37.95 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,,,1641.92,1641,1636.76,1637.37 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,3.05991,3.0637,3.05674,3.05458 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.91374,1.91781,1.91422,1.91274 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.0131,110.9152,111.025,111.1081,111.0888,110.8852,110.9759 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,3.37782,3.38436,3.37956,3.38156 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1643.99,1643.97,1642.35,1641.4 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,,,,0.34,0.34,0.34,0.34 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,0.72,0.72,0.72,0.72 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,0.72,0.72,0.72,0.72 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,,,,,,, "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,,,,,,, "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,,,,,,, "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,,,,,,, "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,,,,,,, "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,,,,,,, "OpenRadioss - Model: Bumper Beam (sec)",LIB,,,,,,,