cascade lake refresh

Tests for a future article. 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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Audio Encoding 2 Tests
AV1 3 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 16 Tests
Creator Workloads 18 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 3 Tests
Database Test Suite 8 Tests
Encoding 5 Tests
Game Development 3 Tests
HPC - High Performance Computing 13 Tests
Imaging 6 Tests
Common Kernel Benchmarks 3 Tests
Machine Learning 8 Tests
Molecular Dynamics 2 Tests
Multi-Core 20 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 9 Tests
Renderers 3 Tests
Scientific Computing 2 Tests
Server 9 Tests
Server CPU Tests 10 Tests
Single-Threaded 2 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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December 17 2022
  11 Hours, 4 Minutes
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December 18 2022
  11 Hours, 8 Minutes
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cascade lake refresh Tests for a future article. 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" 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) Motherboard,,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 Memory,,94GB,94GB Disk,,500GB Samsung SSD 860,500GB Samsung SSD 860 Graphics,,ASPEED,ASPEED Monitor,,VE228,VE228 Network,,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 Kernel,,5.9.0-050900rc6-generic (x86_64) 20200920,5.9.0-050900rc6-generic (x86_64) 20200920 Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.13,X Server 1.20.13 Compiler,,GCC 9.4.0,GCC 9.4.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Write (TPS)",HIB,671,326 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,1.491,3.065 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,565.864,985.483 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write (TPS)",HIB,442,254 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time (sec)",LIB,2.50,1.54 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Repartition Test Time (sec)",LIB,2.63,4.09 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write (TPS)",HIB,297,201 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,1682.547,2481.623 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time (sec)",LIB,4.26,6.22 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,623,431 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,160.474,231.892 "ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,142.18,205.30 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,17.951,13.085 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,26882.84,20197.23 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 512 (Render Ratio)",HIB,3.394244,2.559217 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,707625.49,930057.66 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,2.61702,2.019155 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 256 (ops/s)",HIB,13759.6,17242.8 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time (sec)",LIB,4.67,5.81 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.98,1.18 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,36342.3,30254.31 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,89.3,76.5 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,19.21,22.42 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,29267.4,34085.9 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,9.744,11.326 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,5131,4415 "EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,40.408,35.115 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,58375.2,66868.9 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,784.125,892.232 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time (sec)",LIB,3.23,2.84 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,12434.3,10945.5 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write (TPS)",HIB,812,718 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,1.231,1.392 "CockroachDB - Workload: MoVR - Concurrency: 256 (ops/s)",HIB,202.9,228.8 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,6260590.45,7049324.49 "Dragonflydb - Clients: 200 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,942134.52,839630.53 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,994293.9,890721.27 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,107719684,120010661 "Dragonflydb - Clients: 200 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1044459.26,937646.51 "Stargate Digital Audio Workstation - Sample Rate: 480000 - Buffer Size: 1024 (Render Ratio)",HIB,2.90554,3.23369 "ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,198.59,220.22 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,23.87,26.43 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 512 (Render Ratio)",HIB,3.281164,2.979784 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 256 (ops/s)",HIB,30111.3,27413.2 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,1051825.91,1152673.55 "EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,48.814,53.474 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.45,9.25 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,35.89,39.21 "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,135.463,147.747 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,126894.32,116358.2 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,11.44,12.46 "Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,2617818.25,2404467.25 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,15.69,14.43 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Repartition Test Time (sec)",LIB,5.61,5.16 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,15,16.3 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,15412.3,14191.7 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,11.83,12.81 "Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2908381.75,2700561.5 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,10.44,11.24 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Group By Test Time (sec)",LIB,8.24,7.68 "EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,41.892,44.754 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,21.6,23.01 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.49,0.46 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.695,3.487 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 256 (ops/s)",HIB,24394.6,23024.3 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,10.43,11.03 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.62,5.94 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,49424.7,46804.8 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,29.15,27.75 "Dragonflydb - Clients: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,989118.75,1038762.14 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,9938.1,10411.8 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 512 (Render Ratio)",HIB,1.044224,1.093912 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,48.89,51.14 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.631,2.524 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 512 (Render Ratio)",HIB,1.840618,1.765949 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,5.7,5.94 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time (sec)",LIB,5.48,5.71 "ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,205.73,213.89 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,99.192,95.428 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,15.236,14.662 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,31.71,32.91 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,89867.4,86632.5 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,11570,12000 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.28,0.27 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Group By Test Time (sec)",LIB,6.47,6.24 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only (TPS)",HIB,23407,22579 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,106.678,110.562 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,61797.2,63998.7 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,67899.4,70300.1 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,13.35,13.82 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.8154,34.9917 "Timed PHP Compilation - Time To Compile (sec)",LIB,57.282,59.274 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.5607,28.5675 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,48.3,46.73 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,115.421,111.684 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,6941,6717.4 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,594,575 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,38341.3,39590.8 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,3795441.99,3677320.93 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,111.5,108.1 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,1.601382,1.650224 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,176,171 "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,2007,1950 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,59.901,58.227 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,735.749,756.807 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,29.43,30.272 "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.15,7.93 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,19.6,20.13 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,16.541,16.977 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,6045,5890 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,6.59,6.76 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,13.58,13.24 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,362,353 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.40068,3.31851 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,7.27,7.45 "PostgreSQL - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.043,0.044 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,816,798 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,6.245,6.385 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,735,719 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.045,0.046 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,421.71,412.75 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,21.3,21.76 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,34.988,35.734 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,9.93,10.14 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.49,0.48 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,257085,251911 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1409.26,1381.57 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,23.38,22.93 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,120.584,118.267 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,786.583,801.797 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,5155074,5254605 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,16896.5,16579.3 "JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,33.54,32.92 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,687.33,674.84 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,7613,7475 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,205.44,201.72 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,65.68,66.891 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,882773,899014 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,13.06,13.3 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.113,0.111 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,11.12,11.319 "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.03,7.89 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,34.869,35.484 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,7170,7046 "CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,111.1,109.2 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,417,424.2 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,7.69,7.56 "Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,2852955.5,2805580.75 "EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,40.508,39.852 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.76,36.166 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.6511,18.3638 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,3.386,3.334 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,94378.8,92938.9 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.55381,2.59337 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,437831.75,444590.02 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.143,5.221 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark (sec)",LIB,64.825399416,65.80 "Apache Spark - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.78,4.85 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,776.346,787.503 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,31.054,31.5 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,293.3,289.2 "Stargate Digital Audio Workstation - Sample Rate: 44100 - Buffer Size: 1024 (Render Ratio)",HIB,3.634671,3.584121 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.72,0.73 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,85.018,86.178 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,130.9,129.2 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,7.78,7.68 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,59047.56,58316.18 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,136.3,134.7 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,16.04,16.23 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,77.03,76.16 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,164.77,162.95 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,171677,169842 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 256 (ops/s)",HIB,98923.9,99986 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,781.001,789.364 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,126.1,124.8 "ASTC Encoder - Preset: Medium (MT/s)",HIB,138.0913,136.6876 "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,121.466,122.707 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,4644.12,4691.35 "TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,10.85,10.96 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,2216930,2239380 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,114.3502,115.5038 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.7441,8.6568 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,3292.87,3325.86 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,716,709 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,201.865,199.966 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,114.2741,115.3522 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,143.41,142.07 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,8.7499,8.6682 "Aircrack-ng - (k/s)",HIB,99753.68,98829.75 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,324.2,321.2 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,220,218 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.477096,0.481461 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,577.5,572.28 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,294,291.4 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,69.874,70.482 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.35819,6.4127 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,118.9,117.9 "JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,80.94,80.26 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,174193,172766 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,106.64,105.78 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.25,1.24 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,506,502 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,38.05,37.75 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,22.41,22.58 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,22.76,22.59 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.271,0.273 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,7.533,7.588 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,99.481,98.7664 "Mobile Neural Network - Model: nasnet (ms)",LIB,22.53,22.37 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,922066,915519 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,1715303.02,1703193.63 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,7.529,7.476 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,180.5419,181.7991 "Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,2217236.25,2232581.5 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,135.7515,136.6781 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.4783,11.5556 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,78.04,77.53 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,10.043,9.978 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,115.2,115.95 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,13.83,13.92 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,132.4405,131.593 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,124052.48,123275.06 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,320.8,318.8 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,22.89,22.75 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,50.619,50.914 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only (TPS)",HIB,930850,925569 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.537,0.54 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,36.589,36.387 "PostgreSQL - Scaling Factor: 100 - Clients: 1 - Mode: Read Only (TPS)",HIB,21981,21860 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1092,1098 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,401450,403630 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,78464,78883 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,951.15,946.1 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,65864,66209 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,122216,122843 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,99.329,99.8308 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,14608,14535 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,4.03,4.01 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,96.025607,95.549133 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,564.44,561.69 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1395.73,1388.97 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,192.12,191.19 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,6.42,6.45 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,19.743,19.835 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.37489,1.38109 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,114.39,114.9 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,9.12,9.08 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,180.9023,180.1226 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1021.04,1016.64 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,182930,183720 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,2545133,2534266 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe (sec)",LIB,4.69,4.71 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,675675,672851 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,41988.02,42163.36 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,46.37,46.18 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,173.64,172.93 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,15.746,15.683 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,100.3,99.9 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,869450,866030 "TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,10.22,10.18 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.255,0.256 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,17.9,17.97 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,34.008239,33.881804 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.8543,9.81832 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.4136,18.3466 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,54.2553,54.452 "Timed Node.js Compilation - Time To Compile (sec)",LIB,275.436,276.403 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.575,0.577 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,5.298,5.28 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,979407,976093 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,10874,10838 "nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,124608000000,124198000000 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,543.75,545.447 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,65.7,65.5 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,18.6156,18.6722 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,968554,971447 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,17168753.52,17219955.71 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,21846.45,21782.56 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,701.91,703.92 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,158350,157899 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.80983,2.81784 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2199.69,2205.86 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,75.8,75.59 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,51,50.86 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,4585186.59,4572788.09 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,963.8114,966.403 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.25783,1.25446 "Dragonflydb - Clients: 50 - Set To Get Ratio: 5:1 (Ops/sec)",HIB,959933.8,962500.62 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,46.5,46.38 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,704.6,706.42 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,392,391 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,4.04,4.03 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,12910,12940 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,888,890 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.70137,5.71409 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,197.132,196.7007 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,61.69,61.82 "OpenRadioss - Model: Bumper Beam (sec)",LIB,125.04,124.78 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.61455,9.6345 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,23.9046,23.9542 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,14.77,14.74 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.693146,0.694553 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,41.8085,41.7245 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,3617,3624 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.677,4.686 "memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 (Ops/sec)",HIB,1501800.97,1504675.76 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.568809,0.567734 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,14.8943,14.9224 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,18.0603,18.0936 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,67.0883,66.9674 "Apache Spark - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark (sec)",LIB,66.06,65.95 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,22.389,22.426 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,899.70168,898.33703 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,13.17,13.19 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,275.47,275.88 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,17367,17342 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,347.32,347.82 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,14186,14166 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,253670,253330 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,103156.98,103019.74 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,113.7454,113.8925 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.7764,8.7659 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,146883,147053 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,50.9512,51.0098 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,8.92,8.91 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,125037,125174 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,914,915 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,9.16,9.15 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,2717.47,2714.67 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.79612,3.80003 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,79.17,79.09 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,109293721.23,109184164.47 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,7.47846,7.48562 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,1252.09,1253.15 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,119900000,120000000 "Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,2242796,2244608.5 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,52.645,52.687 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,26.1,26.12 "Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,2202580.5,2204248 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1380.95,1379.94 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,227.23,227.064 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.72077,1.71954 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,598720,598300 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,29041,29061 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,592.36,591.97 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,352.856,352.6274 "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,8.579,8.584 "ASTC Encoder - Preset: Fast (MT/s)",HIB,364.5543,364.3485 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,1.8422,1.8432 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,28318,28332 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,4309,4311 "CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,226.3,226.4 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.235557,0.235658 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.94903,6.94611 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1283.2,1283.73 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer (ms)",LIB,67352,67325 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,25.83,25.82 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,55.54,55.56 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,963.5663,963.9121 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,28150,28140 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,57.28,57.26 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2192.85,2193.51 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,382.188,382.303 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,34647,34637 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,3528,3529 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1380.06,1380.45 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,91.1877,91.2096 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,503507.78,503602.92 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,652544,652647 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,7.053,7.052 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,34685.11,34689.96 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,187.21756,187.19525 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,96569.8,96577.9 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,13.363,13.364 "Natron - Input: Spaceship (FPS)",HIB,3.7,3.7 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.64,1.64 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.94,6.94 "PostgreSQL - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.077,0.077 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.103,0.103 "PostgreSQL - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.074,0.074 "Apache Spark - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time (sec)",LIB,5.07,5.07 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer (ms)",LIB,1085,1085 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,10.53,10.53 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.27,0.27 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.03,0.03 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.13,0.13 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.44,0.44 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.03,3.03 "Stress-NG - Test: IO_uring ()",,,