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.

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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" "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,772162,768517,762529,298064,296125,295603,295522 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,,,,191,190,191,191 "TiDB Community Server - Test: oltp_read_write - Threads: 16 (Queries/sec)",HIB,38331,36950,37368,36480,36784,36125,36088 "TiDB Community Server - Test: oltp_read_write - Threads: 32 (Queries/sec)",HIB,58974,61520,59630,46977,46737,47141,46993 "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: 64 (Queries/sec)",HIB,79090,80183,78469,55334,53893,54956,55301 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,,,,487,487,488,489 "TiDB Community Server - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,41281,39759,39106,34224,33881,34470,34107 "TiDB Community Server - Test: oltp_read_write - Threads: 1 (Queries/sec)",HIB,2540,2510,2485,,3209,3218,3195 "TiDB Community Server - Test: oltp_update_index - Threads: 16 (Queries/sec)",HIB,12558,,12681,12622,12567,12692,12627 "TiDB Community Server - Test: oltp_point_select - Threads: 1 (Queries/sec)",HIB,4331,4405,4471,5898,5976,5954, "TiDB Community Server - Test: oltp_point_select - Threads: 128 (Queries/sec)",HIB,159242,159728,149962,129492,129904,130389, "TiDB Community Server - Test: oltp_point_select - Threads: 32 (Queries/sec)",HIB,104627,106180,,98149,96907,97368,96840 "TiDB Community Server - Test: oltp_point_select - Threads: 64 (Queries/sec)",HIB,127567,130802,,115675,118657,119092,118549 "TiDB Community Server - Test: oltp_update_index - Threads: 32 (Queries/sec)",HIB,18361,17817,17565,17612,17117,,17135 "TiDB Community Server - Test: oltp_update_index - Threads: 128 (Queries/sec)",HIB,27087,27464,26546,,24611,24830,24574 "TiDB Community Server - Test: oltp_update_index - Threads: 1 (Queries/sec)",HIB,1212,,1189,1479,1490,1483,1481 "TiDB Community Server - Test: oltp_read_write - Threads: 128 (Queries/sec)",HIB,85757,89099,,59727,60145,60310,59944 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,254.88,255.3,254.72,670.87,670.64,667.87,669.09 "TiDB Community Server - Test: oltp_update_non_index - Threads: 16 (Queries/sec)",HIB,18095,18068,,18563,18557,,18735 "TiDB Community Server - Test: oltp_update_non_index - Threads: 32 (Queries/sec)",HIB,28735,28914,,26273,26285,26695, "TiDB Community Server - Test: oltp_update_index - Threads: 64 (Queries/sec)",HIB,,24371,23324,21108,21271,21067, "TiDB Community Server - Test: oltp_update_non_index - Threads: 128 (Queries/sec)",HIB,51105,,52865,,42138,41424,41695 "TiDB Community Server - Test: oltp_point_select - Threads: 16 (Queries/sec)",HIB,,67515,65406,,70250,70105,69923 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,,,,,,, "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,80.54,80.76,80.41,224.15,224.1,223.95,224.12 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,15.9528,15.9888,15.9778,5.57001,5.56353,5.55581,5.56539 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,215.096,214.074,214.136,151.905,151.506,151.78,151.681 "nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,6767710000,6757360000,6754170000,7934570000,7931010000,7955790000,7964910000 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,66.42,66.64,66.72,182.99,182.56,181.7,183.29 "Apache Cassandra - Test: Writes (Op/s)",HIB,248095,256661,270480,197866,195798,196287,197092 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,15.986,15.9785,15.9872,5.57469,5.54107,5.5732,5.57553 "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 "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 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,,,,98.98,99.415,97.987,97.529 "nekRS - Input: Kershaw (flops/rank)",HIB,11106900000,11240300000,10826700000,10318900000,10264000000,9976450000,10500600000 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,,,,0.34,0.34,0.34,0.34 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1643.99,1643.97,1642.35,1641.4 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,1642.51,1639.36,1636.44,1631.99 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,,,1641.92,1641,1636.76,1637.37 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,,,838.516,849.712,851.494,848.032 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,847.38,841.078,845.308,847.417 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,849.163,851.659,849.344,837.595 "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: Face Detection FP16 - Device: CPU (ms)",LIB,393.6,393.23,393.37,761.59,761.16,760.57,759.92 "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: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,213.94,213.62,213.79,398.52,398.91,399.24,398.13 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,56.01,56.06,56.02,20.03,20,20.01,20.05 "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 "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 "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: Person Detection FP16 - Device: CPU (FPS)",HIB,282.55,284.22,282.67,107.02,107.27,107.39,107.04 "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 FP32 - Device: CPU (FPS)",HIB,283.97,284.99,284.31,106.9,107.24,106.76,107.24 "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: 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: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,14.23,14.03,14.12,21.57,21.4,21.65,21.47 "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 "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 "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 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,16.02,15.98,15.83,23.2,23.32,23.28,23.42 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,748.44,750.49,757.38,344.67,342.81,343.49,341.36 "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 "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 "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 "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 "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 "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 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,30.72,31,30.89,30.02,30.1,29.95,29.72 "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: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.17,4.16,4.16,6.79,6.8,6.76,6.79 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2873.24,2880.58,2881.14,1175.67,1174.6,1180.85,1175.58 "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 "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: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,16.26,16.02,16.02,15.36,15.36,15.38,15.37 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,2945.26,2986.46,2987.33,1039.61,1039.82,1038.47,1039.37 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,5.89,5.91,5.9,10.01,10.06,10.09,10.06 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2033.17,2028.01,2029.79,797.64,793.75,791.74,793.9 "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: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,5776.94,5780.44,5802.65,2013.77,2007.53,2004.76,2006.09 "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: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,5882.91,5836.27,5840.53,2564.78,2562.54,2539.97,2557.66 "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: Layered Halfspace (sec)",LIB,26.885983804,28.65210863,27.490850157,71.614294327,70.189028506,70.542255905,69.955609165 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,26.985020908,29.460761197,27.060235079,62.441749585,62.325146828,61.281769124,62.810924376 "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 "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 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,26.2,26.24,26.12,72,71.44,71.96,72.01 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,73078,72129,66827,81208,84360,85815,85763 "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 "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 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,73239,71679,74638,83921,84041,82501,84810 "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 "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 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,90114,86715,97031,112613,113225,110803,113895 "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 "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 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,98932,97314,90147,111012,113327,111198,110828 "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: 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 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 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: 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 "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 "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 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,27.354,27.241,27.408,55.173,55.093,55.148,55.172 "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 "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 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,215332,173822,185874,1248439,1204819,1303781,1107420 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,,,,22.3517,22.2911,22.2676,22.2559 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,0.72,0.72,0.72,0.72 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,0.72,0.72,0.72,0.72 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,1886792,161970,1893939,600601,235627,1964637,2049180 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,1126126,1020408,683995,278319,251004,1221001,654022 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,,,,23.3531,23.5283,23.5042,23.7091 "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,2173913,1941748,284252,1818182,320924,1795332,2036660 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,,,,38.105,38.067,38.015,37.95 "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 "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 "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: 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 (ms/batch)",LIB,111.0131,110.9152,111.025,111.1081,111.0888,110.8852,110.9759 "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: 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 "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: 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 "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, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,4.6508,4.6476,4.6348,4.996,4.9859,4.9877,4.9787 "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 "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 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,,,,21.8943,21.9909,21.7746,21.8305 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,,,,22.3922,22.3422,22.4407,22.4215 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,15.10511773,14.46058698,14.808273365,35.571684908,35.030134889,35.535073001,35.378600021 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,711640000,718140000,715030000,286250000,285880000,285920000,286530000 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,46145,44437,44001,71296,70057,70537,70922 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,53.5733,53.8135,53.6927,22.2614,22.1577,22.149,22.1901 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,622560000,610950000,622630000,282920000,281830000,283030000,281730000 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,3005800000,2995400000,2999800000,1065200000,1065100000,1065300000,1065700000 "Liquid-DSP - Threads: 96 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2559800000,2571100000,2564900000,1120800000,1117800000,1120500000,1118200000 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,,,,24.845,24.8282,24.887,24.9619 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,425810000,429620000,424400000,273760000,273480000,273390000,274070000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2207700000,2212100000,2206800000,1059500000,1057500000,1057100000,1056200000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1994400000,2001900000,2010300000,1093300000,1095400000,1094600000,1099300000 "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: 512 (samples/s)",HIB,109870000,108080000,109140000,99594000,97005000,99441000,100170000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,52911000,55588000,55165000,50258000,50380000,49977000,49556000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1192100000,1214200000,1254800000,1035000000,1032000000,1024600000,1033400000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1183500000,1190300000,1184800000,1047100000,1046600000,1041900000,1047100000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,594230000,602470000,603650000,545360000,545140000,545020000,543050000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,13909000,14021000,14225000,12683000,12366000,12681000,12256000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,27901000,27736000,28227000,24627000,25207000,25199000,22727000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,699740000,692760000,674930000,689150000,692920000,693340000,682070000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,369430000,366930000,366990000,363310000,357990000,350450000,357810000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,307540000,305110000,306760000,278030000,277780000,276390000,277410000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,196220000,196590000,194510000,188930000,191230000,189880000,190750000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,153850000,153690000,153670000,138600000,138620000,138580000,138460000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,117490000,114010000,118550000,105650000,105480000,105740000,104800000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,77181000,77019000,76924000,67054000,68846000,68861000,68678000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,59401000,59296000,57519000,52665000,52827000,52879000,52854000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,39499000,39486000,39453000,35228000,35315000,35271000,35236000 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,53665,52119,52260,72134,70897,69920,72706 "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,,,,27.7438,27.8293,27.826,27.91 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,12.312946652,12.100595947,12.040917877,27.330985588,27.459821308,26.973757395,27.746475162 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,11.024765775,11.318495709,11.32735977,26.736414118,26.799143446,26.873168455,27.696631371 "Remhos - Test: Sample Remap Example (sec)",LIB,16.346,16.791,16.243,30.761,30.845,30.725,30.75 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,,,,,,, "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,54.9017,55.3925,55.4037,21.4811,21.4357,21.5913,21.5847 "Kripke - (Throughput FoM)",HIB,,,,240994500,236243900,236591000,237175700 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,56.0871,56.4551,56.8078,22.585,22.5694,22.6566,22.7745 "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_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,3.05991,3.0637,3.05674,3.05458 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,3.81576,3.84421,3.81823,3.82381 "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 "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 "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 ISPC - Model: Asian Dragon (FPS)",HIB,67.3378,67.1951,67.5038,28.3643,28.3141,28.3237,28.4793 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 100000 (Ops per sec)",HIB,75529,69348,67159,82102,83822,79491,80386 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 100000 (Ops per sec)",HIB,70522,73046,77101,82372,82237,81633,82237 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 100000 (Ops per sec)",HIB,87566,90827,73475,105708,98039,99404,102564 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 100000 (Ops per sec)",HIB,91075,73801,90580,101010,100604,96993,103950 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.03749,1.14432,1.00136,1.12723 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,2.49408,2.56522,2.49714,2.51441 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.652259,0.65761,0.653182,0.6477 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 100000 (Ops per sec)",HIB,460829,469484,401606,578035,552486,578035,546448 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 100000 (Ops per sec)",HIB,420168,404858,403226,529101,294985,523560,460829 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 100000 (Ops per sec)",HIB,515464,458716,729927,591716,613497,478469,487805 "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 100000 (Ops per sec)",HIB,529101,862069,657895,632911,389105,709220,561798 "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: Create - Threads: 100 - Files: 100000 (Ops per sec)",HIB,40733,37425,35075,57971,58824,59382,58928 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 100000 (Ops per sec)",HIB,43649,41288,43937,58617,58617,58343,60680 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.02875,1.05425,1.06144,1.04567 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,1.25758,1.28043,1.20653,1.27918 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.60395,0.575794,0.600834,0.61232 "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 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,,,,,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,,,2.13332,2.1257,2.13062,2.11813 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,1.55824,1.54911,1.57282,1.55118 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.33789,1.33861,1.34183,1.33564 "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 4K (FPS)",HIB,163.013,166.692,161.495,161.854,162.051,160.798,161.324 "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 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,,,,,,, "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,,,,,,, "OpenRadioss - Model: Bumper Beam (sec)",LIB,,,,,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,1.91374,1.91781,1.91422,1.91274 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,0.847805,0.844434,0.850691,0.843492 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,3.37782,3.38436,3.37956,3.38156 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,,,,1.657,1.654,1.657,1.648 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,,,,,,, "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 "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

extra tests2