Benchmarks for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2403025-NE-2402297NE31
Linux Distros Emerald Rapids
Benchmarks for a future article.
,,"Ubuntu Linux 23.10","CentOS Stream 9","Fedora Server 39"
Processor,,2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads)
Motherboard,,Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS)
Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce
Memory,,1008GB,1008GB,1008GB
Disk,,3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive
Graphics,,ASPEED,ASPEED,ASPEED
Network,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T
OS,,Ubuntu 23.10,CentOS Stream 9,Fedora Linux 39
Kernel,,6.5.0-17-generic (x86_64),5.14.0-419.el9.x86_64 (x86_64),6.7.6-200.fc39.x86_64 (x86_64)
Compiler,,GCC 13.2.0,GCC 11.4.1 20231218,GCC 13.2.1 20231205
File-System,,ext4,xfs,xfs
Screen Resolution,,1024x768,1920x1200,1024x768
Desktop,,,GNOME Shell 40.10,
Display Server,,,X Server,
,,"Ubuntu Linux 23.10","CentOS Stream 9","Fedora Server 39"
"Graph500 - Scale: 26 (bfs max_TEPS)",HIB,1289580000,1499600000,1253250000
"Graph500 - Scale: 26 (bfs median_TEPS)",HIB,1226550000,1464120000,1195510000
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,7680222,7398333,7367500
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,5931500,5800833,5835818
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,6744778,6381000,6759600
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,375.75,328.37,340.97
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,519.83,528.79,529.14
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,8901.61,8908.74,8862.07
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,24570.10,24295.71,24296.54
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,2377.90,2412.51,2383.22
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,1143.25,617.45,978.70
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,43516.98,40187.34,42419.89
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,10033.95,10113.47,10082.93
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,3217.84,3196.47,3255.16
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,61020.16,60429.54,56624.98
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,100.3399,105.6194,142.1675
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,144.9195,177.7960,179.5403
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.307,2.358,2.346
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,21.317,21.560,21.161
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,66.857,69.868,71.518
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,66.430,69.718,70.874
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,2.785,2.823,2.834
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,5.611,5.808,5.804
"High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,71.1371,71.1332,72.4575
"High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,69.3362,69.1728,70.3805
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,37.971018,63.635840,37.720076
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,4.53,5.04,4.68
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,4.54,4.90,4.70
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,2.18,2.51,2.25
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,73.12,76.68,
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,2821,2815,2821
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,20.6546,20.5021,20.4442
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,20.7725,20.4427,20.5419
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,82.9700,83.5652,82.1380
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,28.6088,29.7626,28.6637
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,28.9162,29.5104,28.430
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,32.3212,33.2938,31.6999
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,132.6789,132.9101,
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4547.5395,4462.5255,
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1837.1113,1863.3429,
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,11099.6440,11022.3020,
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,829.5063,827.9914,
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,155.8178,152.5678,
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1826.0447,1866.5153,
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,853.2079,853.3374,
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1223.1639,1223.6470,
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,176.5691,173.9515,
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1866.2259,1810.9508,
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,133.2063,133.2818,
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,464813,751070,496138
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,455056,434200,428601
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,15,,
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,380,,
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,9.630,5.939,7.180
"NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,4.70711,3.20328,5.40706
"NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,1.49004,0.50251,1.92977
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,56.683,57.836,57.677
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,37.518,39.795,39.009
"RocksDB - Test: Random Read (Op/s)",HIB,599822046,,652854125
"RocksDB - Test: Update Random (Op/s)",HIB,125560,,123092
"RocksDB - Test: Read While Writing (Op/s)",HIB,9775989,,8567006
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,955461,,1184837
"Speedb - Test: Random Read (Op/s)",HIB,600703384,,626261826
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3370014.38,3337339.10,5054518.76
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3477137.28,2615816.73,8983240.52
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,205.20,183.62,188.71
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,214.31,200.18,202.14
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,215.62,201.05,206.83
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,1541713.80,1821521.39,1838671.43
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,2134872.89,1978937.18,2125843.97
"Graph500 - Scale: 26 (sssp max_TEPS)",HIB,664991000,640794000,663412000
"Graph500 - Scale: 26 (sssp median_TEPS)",HIB,483534000,466398000,493031000
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,679317,,
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,39542,,
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,1.489,,
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,25.616,,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,85.06,97.34,93.74
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,245.98,241.67,241.70
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,14.37,14.36,14.43
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.20,5.25,5.25
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,53.79,53.02,53.67
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,27.93,52.09,32.67
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,2.85,3.02,2.86
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,12.74,12.65,12.69
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,39.76,40.02,39.30
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.80,0.83,0.83
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,914,,902
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,911,,897
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1079,,1058
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,12086,,12187
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32279,,28035
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,12243,,12262
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,33174,,27524
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14508,,14422
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,37285,,34698
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,234,,235
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,233,,233
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,276,,276
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3718,,3683
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6448,,6314
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3694,,3655
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6324,,6303
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4353,,4377
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7321,,7424
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,478.7631,478.0315,
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,14.0573,14.3182,
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.7603,34.2906,
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,5.7515,5.7833,
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.0180,77.1671,
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,409.0089,416.6816,
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.9884,34.2262,
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,74.8838,74.8038,
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,52.2774,52.2360,
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,361.2877,366.3831,
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.2545,35.2846,
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,477.1362,476.5785,
"CloverLeaf - Input: clover_bm16 (sec)",LIB,279.21,314.49,255.39
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,32.10,25.01,31.63
"NWChem - Input: C240 Buckyball (sec)",LIB,1750.3,,
"Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,169.178579,184.192332,168.671819
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,177.754,205.005,156.237
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,7.207,7.913,8.270
"Y-Cruncher - Pi Digits To Calculate: 5B (sec)",LIB,29.821,32.850,33.734
"RawTherapee - Total Benchmark Time (sec)",LIB,129.079,,118.228
"GPAW - Input: Carbon Nanotube (sec)",LIB,38.637,,194.508