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
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"
"ctx_clock - Context Switch Time (Clocks)",LIB,130,
"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,
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,4132367,
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,526288000000,527807000000
"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 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 (items/sec)",HIB,1204.6339,1200.4125
"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 (items/sec)",HIB,358.5744,360.5874
"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 (items/sec)",HIB,591.4723,594.1788
"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 (items/sec)",HIB,1483.3330,1485.9869
"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 (items/sec)",HIB,875.2055,877.9576
"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 (items/sec)",HIB,143.5932,143.7983
"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 (items/sec)",HIB,424.4621,423.3809
"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 (items/sec)",HIB,91.7729,92.3213
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,649.0147,648.1519
"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,
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.24487,0.26420
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,128.73,
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,465.02,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,39.13,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1521.31,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,39.34,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1513.58,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1774.66,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,33.79,
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,287.42,
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,416.63,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,6073.13,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,19.73,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,15301.88,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,7.82,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,735.16,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,81.55,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,23212.12,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,5.15,
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,4833.68,
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,24.81,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,106848.95,
"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 (FPS)",HIB,64547.57,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.84,
"OpenFOAM - Input: drivaerFastback, Medium Mesh Size (sec)",LIB,,
"OpenFOAM - Input: drivaerFastback, Large Mesh Size (sec)",LIB,,
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,550657,558485
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,564063,564497
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,93.670,94.083
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,21.942,22.100
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,178.316,178.723
"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
"x265 - Video Input: Bosphorus 4K (FPS)",HIB,27.49,27.28
"x265 - Video Input: Bosphorus 1080p (FPS)",HIB,81.28,85.16
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,14.07,
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,149.50,
"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
"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
"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
"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
"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,
"PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,989367,859012
"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 (TPS)",HIB,771740,878515
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,1.296,1.171
"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: 800 - Mode: Read Write - Average Latency (ms)",LIB,11.069,11.294
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,66739,65191
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,14.984,15.340
"PostgreSQL - Scaling Factor: 100 - Clients: 5000 - Mode: Read Write (TPS)",HIB,,