benchmarks for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2309060-NE-EXTRATEST87
extra tests
benchmarks for a future article.
,,"d","g","h","2 x AMD EPYC 9334 32-Core","9334 2p","93334 rep"
Processor,,2 x AMD EPYC 9124 16-Core @ 3.00GHz (32 Cores / 64 Threads),2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads),2 x AMD EPYC 9754 128-Core @ 2.25GHz (256 Cores / 512 Threads),2 x AMD EPYC 9334 32-Core @ 2.70GHz (64 Cores / 128 Threads),2 x AMD EPYC 9334 32-Core @ 2.70GHz (64 Cores / 128 Threads),2 x AMD EPYC 9334 32-Core @ 2.70GHz (64 Cores / 128 Threads)
Motherboard,,Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS),Supermicro H13DSH (1.5 BIOS)
Memory,,24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,23 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,23 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,21 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,21 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET,21 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET
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
Graphics,,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
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)
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
File-System,,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1024x768,1024x768,1024x768,1024x768,1024x768,1024x768
,,"d","g","h","2 x AMD EPYC 9334 32-Core","9334 2p","93334 rep"
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,1131.55,3664.34,3749.47,2289.8,2299.28,2287.69
"Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,20249488.61,173499514.94,159491222.34,39461287.6,42013739.43,42047609.47
"SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,34.822227482,,,21.391920507,20.859472172,21.151370608
"Stress-NG - Test: Hash (Bogo Ops/s)",HIB,7218607.12,45298625.91,45265797.34,15425278.83,15412840.21,15326552.14
"SPECFEM3D - Model: Tomographic Model (sec)",LIB,14.877710346,,,9.487145781,9.419086635,9.374563082
"SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,18.853828876,,,11.61697014,11.643695909,11.533002652
"SPECFEM3D - Model: Layered Halfspace (sec)",LIB,38.489779649,,,21.669089846,21.537324573,21.688812991
"SPECFEM3D - Model: Mount St. Helens (sec)",LIB,14.505645253,,,8.455473534,8.320091856,8.48691052
"Remhos - Test: Sample Remap Example (sec)",LIB,20.904,,,13.512,13.962,13.825
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,18.35,14.38,14.46,42.33,41.49,42.1
"Stress-NG - Test: Poll (Bogo Ops/s)",HIB,4337787.72,21346079.3,20251576.33,9104744.15,9067852.19,9078474.01
"Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,2944.54,16624.07,16625.57,5876.15,5885.26,5875.45
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,4022496.07,2951631.96,2880825.11,4717570.36,4644551.29,4752131.37
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,912.62,97.94,115.83,1004.79,1014.24,1009.47
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,438280.16,364035.57,363892.1,457807.79,456942.16,457061.39
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,236.99,204.44,203.49,253.6,254.16,254.23
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,107643.49,462528.73,461785.36,156553.51,156859.22,156863.78
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,137476652.93,719479964.33,725705488.15,262321226.78,263438850.64,263330738.63
"Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,1170.31,1139.87,1209.53,1245.21,1190,1188.64
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,1007.46,31064.95,30591.67,1641.77,1615,1616.05
"Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,410.89,1564.42,1628.91,788.21,793.08,797.64
"Stress-NG - Test: IO_uring ()",,,,,,,
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,857324.89,3761786.29,3745995.16,1312330.44,1465208.81,1536517.65
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,776708.72,334039.11,361173.71,1095211.77,1135334.9,1096840.32
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,88466.54,523898.45,518600.85,176344.38,176621.27,176710.85
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,92019395.13,800762640.11,786069338.66,226498215.44,212194044.21,214488001.21
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,173878.7,989553.8,990104.85,314789.68,315324.18,314753.85
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,234239.6,1288008.26,1285121.4,430109.26,430141.54,430096.55
"Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,3667964.15,20133541.11,20123210.14,6626091.93,6624476.36,6621974.98
"Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,27731.16,156381.63,158994.25,54824.58,54852.06,54675.85
"Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,12013602.06,78673620.14,78690548.49,25697538.8,25688067.52,25663966.02
"Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,11939.41,71782.95,71790.06,24103.76,24101.4,24129.62
"Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,10869.49,14658.75,15802.86,14005.29,14022.5,14009.23
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,13428.64,72825.56,72800.74,26146.71,26144.8,26129.5
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,25006.73,154267.34,154293.33,52591.77,52548.25,52511.07
"Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,35640.36,29932.2,29481.45,37887.14,37702.22,37534
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,9504.38,110254.19,113347.77,38147.97,37674.67,38727.86
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,1543291.91,8237581.37,8234456.23,2804498.36,2802185.77,2802578.87
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,17931974.92,110432440.32,110991931.6,29340312.96,35971998.98,35280554.42
"Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,32151217.03,180789739.08,181626937.85,58550931.39,58491170.75,58570424.41
"Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,106715.85,604724.84,605340.53,198651.88,198855.75,198610.93
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,40991307.95,215429087.61,215308424.81,72167140.03,77814243.76,72810418.71
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,916.74,4846.22,4850.99,1675.93,1674.65,1676.27
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,6851573.2,7729966.17,7761412.61,9268236.4,9258853.69,9251814.09
"Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,70043.78,54906.43,55328.71,70405.47,70476.97,
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,544648,6398404,6270577,1012537,994371,999893
"nekRS - Input: Kershaw (flops/rank)",HIB,11520900000,,,8095630000,8147120000,8130950000
"nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,7470490000,,,5441100000,5426030000,5437240000
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.81,129.3849,131.1013,40.2477,40.4465,40.2868
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,795.852,969.8849,954.9445,780.5977,781.5381,781.9977
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,13.9192,31.7865,32.5406,22.3478,22.4039,22.3869
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,71.8362,31.4519,30.7231,44.7392,44.6279,44.6611
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,757.477,5150.4252,5175.4863,1522.0462,1519.295,1521.7451
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,21.0894,24.7947,24.6777,20.9994,21.0312,20.9984
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,202.5019,135.3955,134.0159,280.7819,278.1794,282.7165
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,4.9317,7.3831,7.4589,3.5591,3.5922,3.5347
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,355.8877,2405.8755,2429.7418,718.354,719.7723,715.5913
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,44.9148,53.1156,52.577,44.4873,44.4106,44.6809
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,139.7934,114.3784,116.1927,185.0242,188.3179,188.9243
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.1456,8.7387,8.6016,5.3972,5.3028,5.2862
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,106.1467,497.8976,532.4594,204.4149,204.3477,204.2211
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,150.276,256.1642,239.1915,156.0598,156.2773,156.1928
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,48.2512,66.5223,68.6123,75.1004,75.15,74.684
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,20.714,15.0223,14.5649,13.3064,13.2967,13.3801
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,257.4237,1780.2379,1784.3559,519.8211,521.805,520.3204
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,62.1006,71.7619,71.5815,61.4884,61.2502,61.4475
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,140.4568,138.7584,139.2145,207.7153,211.8105,208.3103
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.1102,7.2026,7.1792,4.809,4.7159,4.7957
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2661.2255,14854.856,13153.4958,5651.5711,5626.7705,5618.5889
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,5.9947,8.5843,9.6974,5.6462,5.6693,5.6773
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,890.9448,605.4672,608.1611,1144.3064,1149.1255,1145.2343
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,1.1189,1.6492,1.6419,0.8711,0.8677,0.8704
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,113.6578,761.8657,764.7374,231.4583,232.2319,231.4234
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,140.5767,167.4236,166.7561,137.9127,137.4827,137.9731
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,67.7657,182.6417,183.2365,111.851,111.7786,111.7014
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.7454,5.4661,5.4481,8.9324,8.938,8.9437
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,24.7153,166.7335,168.7506,49.7556,49.8006,49.8729
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,641.6051,756.6198,751.7219,635.6357,635.6516,635.1989
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.9961,23.7821,27.8849,26.9173,26.8055,26.6076
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,58.8279,42.0388,35.8508,37.1421,37.2973,37.5742
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,258.5599,1778.3616,1786.1756,519.9932,522.11,519.725
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,61.8053,71.8214,71.5355,61.4572,61.2184,61.491
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,140.2014,138.594,140.4403,207.99,208.3426,207.2316
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.1228,7.2111,7.1163,4.8028,4.7942,4.8205
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,114.282,770.5065,774.4054,233.9079,234.1305,233.339
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,139.6127,165.5104,164.6605,136.595,136.4554,136.8061
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,68.1621,183.3717,184.0921,112.4681,112.6463,112.4315
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.6632,5.4478,5.4268,8.8864,8.8725,8.8896
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,168.7247,1128.8846,1127.7925,333.851,334.5256,334.2742
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,94.6197,113.0191,113.2027,95.7392,95.5364,95.5971
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,99.1222,124.4072,130.1929,124.7249,124.6687,124.8961
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.0813,8.0302,7.6734,8.0098,8.0136,7.9992
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,36.3849,220.9069,222.8586,70.9029,70.2077,70.8244
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,436.9749,573.3582,567.855,448.7348,451.0544,448.8863
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,24.536,48.4989,50.5975,37.6981,37.7384,37.7352
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,40.7345,20.5981,19.7446,26.506,26.4772,26.4795
"Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,263.85,,,389.86,388.865198289,387.150786069
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,373.0279,2613.088,2633.592,773.5125,779.2277,777.8507
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,42.8337,48.8841,48.5107,41.3109,41.0198,41.101
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,90.0756,72.184,77.9169,132.5022,128.9077,122.7905
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,11.0868,13.8473,12.8286,7.5379,7.7484,8.1347
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,85.4854,566.7259,569.3208,169.2718,168.3387,168.631
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,186.6482,224.6455,223.8503,188.7432,189.5158,189.3261
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,50.9089,69.3271,71.5654,66.5364,66.2473,66.2677
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.6356,14.4159,13.965,15.0216,15.0868,15.0829
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.8763,129.4385,131.5432,40.5745,40.5509,40.3796
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,794.0387,969.2352,952.8689,776.9139,779.176,779.8287
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,14.0139,33.0779,32.9226,22.5673,22.3447,22.5398
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,71.35,30.2235,30.3651,44.3044,44.7457,44.3585
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,23.97,41.21,44.14,21.8,27.41,27.95
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,11.83,31.24,30.89,13.94,14.02,15.02
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,12.01,35.96,37.56,14.87,15.18,15.87
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,15.46,57.67,45.22,18.63,18.35,18.47
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,10.83,29.92,29.55,13.74,13.69,14.24
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,15.43,47.67,48.76,19.79,19.92,19.96
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,5.84,26.9,23.63,7.2,8.15,8.39
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,30.11,57.72,55.36,31.03,33.4,33.68
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,28.69,56.34,58.85,36.65,36.9,42.08
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,13.75,29.26,29.56,15.16,17.49,16.22
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.14,15.1,17.39,9.39,10.7,10.59
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,26.68,53.62,54.47,29.62,30.6,41.02
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,40.34,48.08,48.82,34.63,40.19,43.59
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,25.61,58.66,58.41,25.51,28.47,34.99
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,34.57,202.34,201.59,54.59,53.78,68.68
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,55.81,108.73,93.15,53.79,66.65,61.24
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,16,44.27,42.3,16.44,22.29,21.5
"Kripke - (Throughput FoM)",HIB,372072000,,,391567400,393276500,375715500
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,35.283,23.058,23.046,24.74,24.671,24.784
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,,,,,,
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,,,,,,
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.053,4.615,4.593,5.599,5.643,5.65
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,72.353,75.15,73.25,77.219,76.503,77.191
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,199.523,189.164,194.863,163.442,160.626,161.053
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,195.829,191.665,177.363,162.855,163.425,160.078
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,14.974,13.575,12.913,16.197,16.295,16.678
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,136.071,134.875,134.38,149.108,150.346,148.846
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,419.853,490.154,485.593,442.55,442.436,416.149
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,545.195,600.23,581.067,562.313,520.167,593.633
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,,599.573,600.762,416.173,560.785,517.438
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,,203.007,197.03,127.136,155.112,152.583
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,,511.795,507.017,462.328,458.518,443.322
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,,179.405,187.677,158.705,159.258,161.666
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,,125.22,124.695,142.186,140.171,137.614
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,,92.641,94.831,89.905,96.105,94.726
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,,9.831,9.901,12.06,12.358,12.25
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,,4.124,4.204,4.914,5.012,5.03
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,37.93,7.51,7.4,20.65,20.51,20.43
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,94.88,17.31,17.12,51.86,52.77,51.99
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,48.95,10.02,10.02,26.43,26.15,26.37
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,372.72,71.97,71.39,201.53,201.51,201.93
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,122.7,22.4,22.35,63.37,63.45,63.71
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.768,,,7.397,7.447,7.358
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,12.678,,,13.732,13.684,13.803
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,19.166,,,20.727,20.882,21.005
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,33.572,,,36.025,35.575,34.76
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,37.677,183.4023,187.4161,69.4876,69.6715,69.485
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,39.3841,193.6041,194.2743,72.6514,72.6362,72.1749
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,42.7641,217.591,207.2492,75.2825,75.4564,75.117
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,37.9876,193.0502,172.2068,67.4837,67.3237,66.8507
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,48.4746,239.4187,225.8305,86.785,86.5288,86.555
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,40.5726,193.4297,184.4537,72.2553,72.7746,72.8465
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.36,3.40,3.53,2.21,2.20,2.19
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.37,3.28,3.46,2.21,2.20,2.21
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.65,1.50,1.54,1.04,1.03,1.04
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,10.8634,46.6567,46.7562,20.3984,20.4526,20.3882
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,10.8453,46.6054,46.5528,20.3347,20.3981,20.3139
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,176.614,161.169,160.87,204.932,209.609,208.86
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,10.0774,50.4014,50.9618,17.8136,17.7639,17.8324
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,9.81318,49.5123,50.0879,17.4357,17.3307,17.2789
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,11.9002,28.3521,28.2537,20.3416,20.3891,20.3316
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,35195000,29219000,29200000,37170000,37126000,37183000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,52765000,44187000,44183000,54155000,55624000,55882000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,68834000,55708000,55923000,72597000,72480000,72532000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,105630000,88109000,88042000,111320000,111330000,86248000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,136500000,114550000,114390000,144210000,144800000,143830000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,174280000,151010000,155360000,185390000,185360000,186670000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,271730000,228520000,228090000,288730000,288430000,290320000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,331200000,279840000,277250000,346260000,336320000,329180000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,12652000,10576000,10567000,13207000,13357000,13320000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,549390000,457820000,457420000,575510000,579510000,580920000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,650410000,542300000,546690000,658580000,674330000,656510000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,24900000,20660000,20837000,25706000,25885000,26081000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1073800000,914570000,911870000,1158100000,1158700000,1159500000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1234500000,1057300000,1065000000,1293000000,1275000000,1302400000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,49884000,41641000,41052000,52315000,52469000,51821000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2045600000,1827600000,1822100000,2284700000,2291300000,2291700000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1778600000,2076600000,2072000000,2247200000,2231600000,2194300000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,96449000,83090000,82749000,104310000,105170000,102270000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,195510000,165180000,165390000,208630000,207810000,209370000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,387460000,331240000,329210000,413970000,414060000,415200000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,504660000,659140000,652820000,754210000,755970000,753120000
"Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,11686474.26,,,22176931.98,24460221.48,23645213.13
"Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,15179164.86,,,31053489.24,28043162.3,29580028.06
"Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,15253621.53,,,,,
"Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:10 ()",,,,,,,
"Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,11860591.65,,,25802999.03,22585212.56,24588214.81
"Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,14250093.71,,,31139658.49,29330317.34,29280070.97
"Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,17583489.38,,,,,
"Apache Cassandra - Test: Writes (Op/s)",HIB,230402,185134,190955,255016,258638,268984
"Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,195.40,,,198.94,199.20,197.19
"Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:100 ()",,,,,,,