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