Linux 6.2 Kernel Benchmarking Intel SPR

2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 22.04 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 2302080-NE-LINUX62KE20
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AV1 2 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 7 Tests
CPU Massive 11 Tests
Creator Workloads 10 Tests
Database Test Suite 4 Tests
Encoding 5 Tests
HPC - High Performance Computing 6 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 2 Tests
Molecular Dynamics 3 Tests
Multi-Core 15 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 3 Tests
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Scientific Computing 3 Tests
Server 4 Tests
Server CPU Tests 9 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 3 Tests

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  Test
  Duration
Linux 6.1.10
February 08 2023
  8 Hours, 54 Minutes
Linux 6.2 8 Feb
February 08 2023
  6 Hours, 37 Minutes
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  7 Hours, 45 Minutes
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Linux 6.2 Kernel Benchmarking Intel SPR 2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. ,,"Linux 6.1.10","Linux 6.2 8 Feb" Processor,,2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads),2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads) Motherboard,,Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS),Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce Memory,,16 x 64 GB 4800MT/s Samsung M321R8GA0BB0-CQKEG,16 x 64 GB 4800MT/s Samsung M321R8GA0BB0-CQKEG Disk,,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007 + 960GB INTEL SSDSC2KG96 Graphics,,ASPEED,ASPEED Monitor,,VGA HDMI,VGA HDMI Network,,4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-T,4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-T OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.1.10-060110-generic (x86_64),6.2.0-060200rc7daily20230208-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.3.0 + Clang 14.0.0-1ubuntu1,GCC 11.3.0 + Clang 14.0.0-1ubuntu1 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"Linux 6.1.10","Linux 6.2 8 Feb" "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,4446.69,4594.34 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,823.73,802.96 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,85353.10,86702.87 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,3069.37,3124.14 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,918817.43,1201873.84 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,24444.51,22779.25 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,156594.14,156524.58 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,295983025.53,299262596.45 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,56227.91,55255.59 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,47408.70,47925.54 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,2013997.03,2014102.18 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,15.90,15.90 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,174656.38,127960.65 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,8636757.37,8411372.27 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,587722.85,587129.80 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,591428.07,591711.95 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,668883.47,669071.60 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,11600.05,11382.46 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,76754.34,63762.09 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,2724155.67,2396641.33 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,16667098.52, "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,1733.71, "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,19548475.12, "nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,526288000000,527807000000 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,128.73, "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,39.13, "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,39.34, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1774.66, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,287.42, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,6073.13, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,15301.88, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,735.16, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,23212.12, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,4833.68, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,106848.95, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,64547.57, "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,70.60,66.86 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,62.61,61.56 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,68.67,69.64 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,70.48,69.83 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,78.135,78.068 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,201.374,200.977 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,208.412,208.714 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,25.14,25.09 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,28.09,28.06 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,52.45,53.39 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,55.98,55.64 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,56.00,56.15 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.820,4.793 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,9.120,9.131 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,27.49,27.28 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,81.28,85.16 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,110.7370, "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,126.8349, "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,129.9208, "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,117.3313, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,158.2884, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,137.3453, "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,34.7197,34.6688 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,177.666,176.612 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,36.4473,36.4760 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,91.9603,91.9597 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1204.6339,1200.4125 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,358.5744,360.5874 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,591.4723,594.1788 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1483.3330,1485.9869 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,875.2055,877.9576 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,143.5932,143.7983 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,424.4621,423.3809 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,91.7729,92.3213 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,550657,558485 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,564063,564497 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,14.716,14.795 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,14.558, "RocksDB - Test: Random Fill (Op/s)",HIB,495943, "RocksDB - Test: Random Read (Op/s)",HIB,579300652, "RocksDB - Test: Update Random (Op/s)",HIB,488635, "RocksDB - Test: Sequential Fill (Op/s)",HIB,498671, "RocksDB - Test: Random Fill Sync (Op/s)",HIB,448145, "RocksDB - Test: Read While Writing (Op/s)",HIB,9981816, "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2079783, "Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1129986.80,1183430.44 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,925855.29,918906.70 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,556683.75,566029.60 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,452.20,443.69 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,486.73,492.61 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,505.85,511.41 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,989367,859012 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,771740,878515 "PostgreSQL - Scaling Factor: 100 - Clients: 5000 - Mode: Read Only (TPS)",HIB,, "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,72276,70837 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,66739,65191 "PostgreSQL - Scaling Factor: 100 - Clients: 5000 - Mode: Read Write (TPS)",HIB,, "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,4132367, "ctx_clock - Context Switch Time (Clocks)",LIB,130, "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.24487,0.26420 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.824,0.965 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,1.296,1.171 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,11.069,11.294 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,14.984,15.340 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,465.02, "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1521.31, "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1513.58, "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,33.79, "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,416.63, "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,19.73, "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,7.82, "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,81.55, "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,5.15, "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,24.81, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.05, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.84, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,648.7734,649.5736 "Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.7500,49.9123 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,166.9653,166.2135 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,101.2039,100.7525 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,40.3879,40.3123 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,68.4827,68.2626 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,416.5371,415.5078 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,141.1997,141.4765 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,649.0147,648.1519 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,21.942,22.100 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,178.316,178.723 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,93.670,94.083 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,14.07, "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,149.50, "OpenFOAM - Input: drivaerFastback, Medium Mesh Size (sec)",LIB,, "OpenFOAM - Input: drivaerFastback, Large Mesh Size (sec)",LIB,,