2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 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 2304025-NE-EEE49872408
eee
2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.
,,"a","b","bb"
Processor,,2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads),2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads),2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads)
Motherboard,,TYAN S7106 (V2.01.B40 BIOS),TYAN S7106 (V2.01.B40 BIOS),TYAN S7106 (V2.01.B40 BIOS)
Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers
Memory,,94GB,94GB,94GB
Disk,,500GB Samsung SSD 860,500GB Samsung SSD 860,500GB Samsung SSD 860
Graphics,,ASPEED,ASPEED,ASPEED
Monitor,,VE228,VE228,VE228
Network,,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,6.1.0-phx (x86_64),6.1.0-phx (x86_64),6.1.0-phx (x86_64)
Desktop,,GNOME Shell 3.36.9,GNOME Shell 3.36.9,GNOME Shell 3.36.9
Display Server,,X Server 1.20.13,X Server 1.20.13,X Server 1.20.13
Compiler,,GCC 9.4.0,GCC 9.4.0,GCC 9.4.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"a","b","bb"
"Google Draco - Model: Lion (ms)",LIB,6694,,6713
"Google Draco - Model: Church Facade (ms)",LIB,9410,,9381
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,83.2,84.48,82.22
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,109.53,109.74,109.07
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,146.93,146.48,145.41
"SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,60.237167581,61.367356552,60.513328909
"SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,31.379210956,31.089935816,31.065733738
"SPECFEM3D - Model: Tomographic Model (sec)",LIB,25.349439354,25.268860658,25.0077492
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,212.65,212.5,213.32
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,227.16,227.85,227
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,50.71,50.96,51.15
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,15.11,15.1,15.09
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,43.32,64.04,63.78
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,18.25,18.31,18.3
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,77.76,77.64,77.79
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,22.2,22.27,22.35
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,103.29,104.62,104.2
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,29.63,,29.43
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,109.76,,109.27
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,31.1,,30.95
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.3814,,18.7109
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,977.294,,961.1346
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.6827,,8.6642
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,115.1583,,115.4054
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,403.0469,,394.4534
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,44.6206,,45.5898
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,112.5355,,112.2279
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.8732,,8.8977
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,99.4868,,99.7544
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,180.7166,,180.2832
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,42.6499,,42.2697
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,23.4331,,23.6443
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,139.5608,,139.499
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,128.7775,,128.8102
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,54.3343,,54.3298
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.3878,,18.3879
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,351.8332,,352.0435
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,51.1119,,51.0891
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,112.5065,,109.4518
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.8739,,9.1226
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,178.9198,,179.5686
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,100.5244,,100.1536
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,65.3784,,66.0925
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,15.2836,,15.1185
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,40.3347,,40.8629
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,446.1672,,440.4085
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,19.5562,,19.7168
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,51.1117,,50.6953
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,91.4064,,91.353
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,196.5611,,196.7412
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,34.7145,,34.9308
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,28.7927,,28.6153
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.4172,,18.7079
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,965.2134,,961.9707
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.668,,8.6925
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,115.3529,,115.0291
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.73354,1.7178,1.73257
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.45599,3.09364,3.17173
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.63878,1.74816,1.69336
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.29978,1.28042,1.28253
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.69353,5.68728,5.68651
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4.0573,4.30617,3.33073
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,3.5297,4.78799,4.77498
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,14.7513,14.8033,14.6464
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.74347,2.73821,2.7383
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.39463,4.90144,4.35862
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.563515,0.562744,0.562273
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.693934,0.688332,0.691037
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1384.14,1386.62,1374.19
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,786.003,788.652,789.003
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1379.97,1385.41,1377.45
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.35319,6.35868,6.35249
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8.67071,8.68912,8.67211
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.56667,9.51019,9.51252
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,788.804,785.39,787.693
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1374.37,1381.33,1380.03
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,786.919,797.591,789.808
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,33.48,33.273,33.178
"John The Ripper - Test: bcrypt (Real C/S)",HIB,48821,48864,48912
"John The Ripper - Test: WPA PSK (Real C/S)",HIB,212818,213811,214200
"John The Ripper - Test: Blowfish (Real C/S)",HIB,48756,48405,48562
"John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,91245000,91970000,98271000
"John The Ripper - Test: MD5 (Real C/S)",HIB,4691000,4719000,4712000
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,343.242,339.912,338.885
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,439.12,439.282,419.847
"Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,1664.3,1640.6,1584.1
"Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,579.4,545.9,572.3
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,1093.3,1093.7,1097.6
"Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,146.2,153.9,151.4
"Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,987.6,996.4,996.5
"SPECFEM3D - Model: Layered Halfspace (sec)",LIB,63.682105721,64.462549436,64.480914525
"Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,1102.7,1095.1,1095.8
"Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,12.8,12.8,12.9
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,840.6,846.7,849
"Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,325.9,283,310.5
"Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,1137,1144.5,1140.2
"Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,282.7,289.9,279.4
"Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,1105.7,1097.9,1100.7
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,6.71,6.45,6.79
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,826,833.2,834.2
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.55,2.608,2.647
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,36.413,36.225,35.893
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,110.282,117.742,117.555
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,110.638,111.154,110.286
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,6.223,6.344,6.222
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,85.659,86.951,86.484
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,232.248,235.271,228.891
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,200.802,201.732,201.444
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,56.07,,55.76
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,159.56,,159.27
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,74.47,,74.63
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,579.52,,580.85
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,191.67,,192.11
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,33.20,32.80,32.83
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,152.11,153.96,153.822107334
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,125.374756424,115.765549178,124.51
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,40.28,43.62,40.56
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,241.764027512,242.24275493,241.13
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,10.44,10.42,10.47
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,237.23567868,238.65,235.941449418
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,10.64,10.58,10.70
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,198.347553986,198.960340617,198.27
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,38.19,38.07,38.21
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,370.338638914,369.219786333,369.540182188
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,20.45,20.52,20.50
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,199.18,198.50,197.896164664
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,38.03,38.16,38.28
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,366.57,367.613657159,366.29
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,20.66,20.61,20.68
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,7.91,7.95,7.91
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,8.83,8.82,8.85
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,18.3,18.45,18.47
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,20.04,20.05,20.22
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,18.07,18.11,18.14
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,20.29,20.33,20.07
"uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,21.8,21.48,21.62
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,42.93,42.62,42.32
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,44.64,45.1,45.23
"uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,48.17,48.24,48.4
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,3.657,3.579,3.634
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,5.991,6.026,5.97
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,9.605,9.641,9.746
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,16.729,16.897,16.675
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,232.641,234.221,232.02
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,28.6383,28.4938,28.7455
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,29.7114,29.5023,29.5362
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,33.0349,33.1778,33.1711
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,29.595,29.4408,29.4853
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,37.8838,37.7104,37.7176
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,32.4996,32.5565,32.4438
"Build2 - Time To Compile (sec)",LIB,100.27,99.151,100.747
"Timed Node.js Compilation - Time To Compile (sec)",LIB,309.57,309.311,309.086
"nginx - Connections: 100 (Reqs/sec)",HIB,152180.63,,151733.73
"nginx - Connections: 200 (Reqs/sec)",HIB,147630.66,,149820.05
"nginx - Connections: 500 (Reqs/sec)",HIB,141761.59,,143874.15
"nginx - Connections: 1000 (Reqs/sec)",HIB,139200.66,,139997.58
"Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,,,
"Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,,,
"Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,,,
"Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,,,
"OpenSSL - Algorithm: SHA256 (byte/s)",HIB,9173311330,9102032020,9206384930
"OpenSSL - Algorithm: SHA512 (byte/s)",HIB,10145725330,10167598450,10193373610
"OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,8029.4,8026.7,8109.8
"OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,534883.8,536533.8,534630.5
"OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,150176760350,150074005090,150059242840
"OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,159151287770,159781972650,159160934620
"OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,118250262800,118596420950,118499993460
"OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,80516466550,80512557330,80513755000
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,163.13,157.77,154.30
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,205.05,211.36,200.24
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,206.05,210.46,211.12
"Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,2007905.01,1672007.69,1937351.98
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1719545.48,1478446.78,1700246.18
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,1290869.25,1550585.25,1587757.54
"RocksDB - Test: Random Fill (Op/s)",HIB,251487,,243680
"RocksDB - Test: Random Read (Op/s)",HIB,115209715,,114830146
"RocksDB - Test: Update Random (Op/s)",HIB,233375,,228703
"RocksDB - Test: Sequential Fill (Op/s)",HIB,259650,,249987
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,6971,,7527
"RocksDB - Test: Read While Writing (Op/s)",HIB,4910200,,4875480
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,2228918,,2251517
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,1068707,1052848,1067954
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.047,0.047,0.047
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,809,811,808
"PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,61.842,61.656,61.913
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,994655,991262,993660
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.05,0.05,0.05
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,3946,3610,3031
"SPECFEM3D - Model: Mount St. Helens (sec)",LIB,24.148005301,24.125490298,24.639822177
"PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,12.67,13.85,16.497