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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.

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Timed Code Compilation 5 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 11 Tests
Creator Workloads 9 Tests
Cryptography 2 Tests
Database Test Suite 4 Tests
Encoding 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 3 Tests
Multi-Core 15 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 6 Tests
Server 7 Tests
Server CPU Tests 7 Tests
Video Encoding 4 Tests

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a
April 01 2023
  6 Hours, 3 Minutes
b
April 01 2023
  3 Hours, 58 Minutes
bb
April 01 2023
  6 Hours, 7 Minutes
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  5 Hours, 22 Minutes

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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,,,