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RESET
October 23 2023
  6 Hours, 8 Minutes
RESET2
October 23 2023
  1 Hour, 18 Minutes
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October 23 2023
  5 Hours, 18 Minutes
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extra tests benchmarks for a future article. ,,"RESET","RESET2","RESET3" Processor,,AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads),AMD EPYC 9334 32-Core @ 2.70GHz (32 Cores / 64 Threads) Motherboard,,Supermicro H13SSW (1.1 BIOS),Supermicro H13SSW (1.1 BIOS),Supermicro H13SSW (1.1 BIOS) Memory,,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 Graphics,,astdrmfb,astdrmfb,astdrmfb Monitor,,,,DELL E207WFP OS,,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) Compiler,,GCC 11.3.1 20221121,GCC 11.3.1 20221121,GCC 11.3.1 20221121 File-System,,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1680x1050 ,,"RESET","RESET2","RESET3" "Remhos - Test: Sample Remap Example (sec)",LIB,31.017,30.936,20.688 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,27.1059135,26.340764968,14.862106087 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,69.741995513,69.182422904,39.276372578 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,27.094676107,27.373652887,15.275376628 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,35.678749142,35.320025891,20.006271694 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,64.317983137,63.198053782,37.54996531 "nekRS - Input: Kershaw (flops/rank)",HIB,10295200000,10068200000,9111820000 "nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,7950340000,7961240000,6776830000 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,21.5762,21.427,43.3981 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,22.68,22.6729,45.6761 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,24.8143,24.8241,48.1476 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,22.2481,22.1946,43.5147 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,28.2868,28.4159,54.5018 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,23.8331,23.9249,46.4622 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.502,4.528,5.719 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,59.64,59.058,81.062 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,165.65,164.103,231.172 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,165.948,164.679,229.116 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,14.211,14.065,16.396 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,128.583,128.472,160.665 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,466.982,469.491,599.14 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,600.202,595.138,721.7 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.126,6.147,7.293 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,12.13,12.231,13.941 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,18.012,18.089,20.675 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,34.698,34.694,38.358 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.72,0.72,1.37 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.72,0.72,1.38 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.34,0.34,0.65 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.5677,5.57113,10.7935 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.56275,5.55955,10.7542 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,151.866,151.794,192.555 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,5.61038,5.60814,10.9153 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,5.46527,5.44882,10.5908 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,6.60071,6.58666,12.5075 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,55.159,55.21,33.904 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,,, "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,35186000,35179000,37083000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,52897000,48803000,55677000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,68854000,68905000,72570000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,105200000,104020000,108010000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,138520000,136520000,145900000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,190540000,188640000,197890000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,277560000,277780000,292720000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,337660000,343950000,380280000 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,12685000,12264000,13359000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,545570000,544800000,582930000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,695920000,686540000,716650000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,25206000,25050000,26065000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1047500000,1046500000,1169700000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1031700000,1013800000,1397500000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,48886000,49614000,52587000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1056400000,1056700000,2053800000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1100900000,1098600000,1911400000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,97011000,99404000,105480000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,196300000,196070000,208610000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,273720000,274570000,393800000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,282490000,282060000,510160000 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,8302009.42,8584414.13,16927170.48 "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,10162330.86,9527420.8,19505101.23 "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,12469755.6,11249348.91,22835296.84 "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,8637294.18,8951592.94,17116522.17 "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,9932666.12,9367141.2,21025616.3 "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,11746361.87,12138788.95,23607335.01 "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:100 ()",,,, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,13.137,13.0346,25.7 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,607.0287,607.4694,613.0328 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,14.6975,14.6225,25.336 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,68.0326,68.3818,39.4641 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,505.2797,505.4126,999.0564 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,15.8073,15.8033,15.9951 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,202.745,203.219,291.4682 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,4.9273,4.9157,3.4287 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,257.567,257.395,508.3448 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,31.0244,31.0532,31.4441 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,141.086,143.5607,210.2053 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.0815,6.9594,4.7514 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,70.9221,71.1423,136.892 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,112.6037,112.2518,116.5553 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,48.7468,48.8206,86.4112 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,20.5061,20.4749,11.565 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,163.1825,162.9543,327.9694 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,48.9952,49.0574,48.7397 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,143.2619,143.3333,229.6935 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.973,6.9693,4.3494 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1591.1704,1588.2049,3312.5115 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,5.0159,5.0233,4.8202 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,916.5817,922.3569,1241.8448 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,1.0875,1.0807,0.8023 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,71.844,72.1606,143.7693 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.1048,110.7358,111.0762 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,69.2739,,123.1967 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.4253,,8.1111 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,16.1569,,32.0656 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,493.6079,,494.298 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,17.7631,,30.4561 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,56.29,,32.8274 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,163.0849,,327.7891 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,48.9994,,48.7687 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,143.6947,,229.1517 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.952,,4.3595 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,72.7336,,145.0143 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,109.8869,,110.1322 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,69.6312,,124.3655 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.355,,8.0375 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,109.0813,,215.9185 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,73.2047,,73.9772 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,101.9101,,143.8696 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,9.8064,,6.9453 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,24.4932,,47.1505 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,325.022,,336.7636 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,25.9193,,41.6733 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,38.5655,,23.9807 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,240.3763,,486.7274 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,33.2488,,32.8336 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,93.1249,,139.8342 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.7278,,7.1439 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,55.5354,,109.2794 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,143.8424,,145.9974 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,54.808,,75.9168 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.2395,,13.1662 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,13.1024,,25.7218 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,608.1609,,614.0225 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,14.6865,,25.4366 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,68.0846,,39.3077 "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,3622490.53,,7756366.8 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,297.29,,577.78 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,664.87,,1272.74 "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,13860878.09,,25368697.9 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,2214330.78,,4603498.17 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,1466.4,,2988.69 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,4273978.26,,4747454.51 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,431.59,,495.03 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,789472.5,,828974.29 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,246.62,,265.54 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,39959.41,,79692.92 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,31210490.91,,137709065.86 "Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,3317.1,,3751.82 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,32071.19,,54137.34 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,205.07,,407.92 "Stress-NG - Test: IO_uring ()",,,, "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,419265.75,,665723.58 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,1163806.08,,1221906.48 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,41635.43,,87949.71 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,42481788.68,,92985304.75 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,87537.46,,160597.83 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,117532.19,,219207.68 "Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1851108.77,,3384972.44 "Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,13421.19,,27709.8 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,6022050.43,,12951786.69 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,5845.74,,12241.13 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,5817.58,,9028.11 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,7269.2,,14537.11 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,12554.84,,26692.66 "Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,39604.33,,53630.31 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,10472.15,,20183.09 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,772551.49,,1424072.34 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,10072239.66,,20135718.92 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,16158855.4,,29786647.25 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,53844.48,,102433.04 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,19957308.6,,39779508.19 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,463.11,,858.22 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,7982733.22,,10016615.7 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,16.73,,16.29 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.36,,7.72 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.55,,8.08 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,8.67,,9.38 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.47,,7.11 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.35,,10.56 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.35,,3.86 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,17.98,,19.29 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,22.59,,20.62 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,9.13,,8.72 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,6.01,,5.23 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,16.83,,17.19 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,25.42,,25.96 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,15.52,,16.2 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,17.13,,22.32 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,55.73,,44.06 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,11.3,,11.81 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,71.89,,38.91 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,183.11,,99.35 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,90.46,,48.68 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,670.71,,351.79 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,223.6,,119.19 "Apache Cassandra - Test: Writes (Op/s)",HIB,194642,,318052 "Kripke - (Throughput FoM)",HIB,237641100,,351062800 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,295626,,569090 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,119839.68,,124853.18 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,590.49,,558.191 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,161.603,,161.431 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,528.292,,577.734 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,162.288,,216.625 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,119.222,,150.628 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,67.596,,97.764 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,10.727,,12.3 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.152,,5.089 "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,,, "Apache Hadoop - Operation: Create - Threads: 20 - Files: 100000 (Ops per sec)",HIB,59630,,63492 "Apache Hadoop - Operation: Create - Threads: 20 - Files: 1000000 (Ops per sec)",HIB,72317,,78223 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 100000 (Ops per sec)",HIB,60314,,62189 "Apache Hadoop - Operation: Create - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,71403,,74722 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 100000 (Ops per sec)",HIB,59242,,60790 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,69638,,73692 "Apache Hadoop - Operation: Create - Threads: 500 - Files: 100000 (Ops per sec)",HIB,52383,,55525 "Apache Hadoop - Operation: Create - Threads: 500 - Files: 1000000 (Ops per sec)",HIB,66037,,67087 "Apache Hadoop - Operation: Open - Threads: 20 - Files: 100000 (Ops per sec)",HIB,636943,,595238 "Apache Hadoop - Operation: Open - Threads: 20 - Files: 1000000 (Ops per sec)",HIB,1191895,,981354 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 100000 (Ops per sec)",HIB,537634,,653595 "Apache Hadoop - Operation: Open - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,264831,,1256281 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 100000 (Ops per sec)",HIB,305810,,518135 "Apache Hadoop - Operation: Open - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,1256281,,805802 "Apache Hadoop - Operation: Open - Threads: 500 - Files: 100000 (Ops per sec)",HIB,205761,,217865 "Apache Hadoop - Operation: Open - Threads: 500 - Files: 1000000 (Ops per sec)",HIB,1164144,,1257862 "Apache Hadoop - Operation: Delete - Threads: 20 - Files: 100000 (Ops per sec)",HIB,107875,,112233 "Apache Hadoop - Operation: Delete - Threads: 20 - Files: 1000000 (Ops per sec)",HIB,116333,,124054 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 100000 (Ops per sec)",HIB,108696,,103950 "Apache Hadoop - Operation: Delete - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,110963,,115022 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 100000 (Ops per sec)",HIB,99701,,107181 "Apache Hadoop - Operation: Delete - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,112587,,114732 "Apache Hadoop - Operation: Delete - Threads: 500 - Files: 100000 (Ops per sec)",HIB,93721,,103306 "Apache Hadoop - Operation: Delete - Threads: 500 - Files: 1000000 (Ops per sec)",HIB,109673,,104362 "Apache Hadoop - Operation: File Status - Threads: 20 - Files: 100000 (Ops per sec)",HIB,869565,,869565 "Apache Hadoop - Operation: File Status - Threads: 20 - Files: 1000000 (Ops per sec)",HIB,1879699,,428816 "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 100000 (Ops per sec)",HIB,476190,,769231 "Apache Hadoop - Operation: File Status - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,593120,,1890359 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 100000 (Ops per sec)",HIB,531915,,740741 "Apache Hadoop - Operation: File Status - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,1828154,,2252252 "Apache Hadoop - Operation: File Status - Threads: 500 - Files: 100000 (Ops per sec)",HIB,215517,,598802 "Apache Hadoop - Operation: File Status - Threads: 500 - Files: 1000000 (Ops per sec)",HIB,1779359,,816327 "Apache Hadoop - Operation: Rename - Threads: 20 - Files: 100000 (Ops per sec)",HIB,87032,,90253 "Apache Hadoop - Operation: Rename - Threads: 20 - Files: 1000000 (Ops per sec)",HIB,89095,,95293 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 100000 (Ops per sec)",HIB,83333,,88183 "Apache Hadoop - Operation: Rename - Threads: 50 - Files: 1000000 (Ops per sec)",HIB,87912,,89985 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 100000 (Ops per sec)",HIB,85616,,83752 "Apache Hadoop - Operation: Rename - Threads: 100 - Files: 1000000 (Ops per sec)",HIB,85800,,84474 "Apache Hadoop - Operation: Rename - Threads: 500 - Files: 100000 (Ops per sec)",HIB,78555,,82305 "Apache Hadoop - Operation: Rename - Threads: 500 - Files: 1000000 (Ops per sec)",HIB,76722,,82529 "TiDB Community Server - Test: oltp_read_write - Threads: 1 (Queries/sec)",HIB,3204,, "TiDB Community Server - Test: oltp_read_write - Threads: 16 (Queries/sec)",HIB,36124,,47703 "TiDB Community Server - Test: oltp_read_write - Threads: 32 (Queries/sec)",HIB,46972,,74741 "TiDB Community Server - Test: oltp_read_write - Threads: 64 (Queries/sec)",HIB,,,94643 "TiDB Community Server - Test: oltp_read_write - Threads: 128 (Queries/sec)",HIB,59739,, "TiDB Community Server - Test: oltp_read_write - Threads: 256 (Queries/sec)",HIB,62965,,111354 "TiDB Community Server - Test: oltp_point_select - Threads: 1 (Queries/sec)",HIB,5956,,6080 "TiDB Community Server - Test: oltp_point_select - Threads: 16 (Queries/sec)",HIB,,,87667 "TiDB Community Server - Test: oltp_point_select - Threads: 32 (Queries/sec)",HIB,97200,, "TiDB Community Server - Test: oltp_point_select - Threads: 64 (Queries/sec)",HIB,118850,, "TiDB Community Server - Test: oltp_point_select - Threads: 128 (Queries/sec)",HIB,131165,,197386 "TiDB Community Server - Test: oltp_point_select - Threads: 256 (Queries/sec)",HIB,143244,,210553 "TiDB Community Server - Test: oltp_update_non_index - Threads: 1 (Queries/sec)",HIB,1687,,1843 "TiDB Community Server - Test: oltp_update_non_index - Threads: 16 (Queries/sec)",HIB,18663,,23758 "TiDB Community Server - Test: oltp_update_non_index - Threads: 32 (Queries/sec)",HIB,26459,,36066 "TiDB Community Server - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,34234,,51897 "TiDB Community Server - Test: oltp_update_non_index - Threads: 128 (Queries/sec)",HIB,41635,,65674 "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,12065388.34,10983543.66, "Dragonflydb - Clients Per Thread: 60 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,11419293.83,13659195.83,