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 2403039-NE-2403025NE90
Linux Distros Emerald Rapids
Benchmarks for a future article.
,,"Ubuntu Linux 23.10","CentOS Stream 9","Fedora Server 39","Arch Linux"
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),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),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS)
Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce
Memory,,1008GB,1008GB,1008GB,1008GB
Disk,,3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive
Graphics,,ASPEED,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,2 x Intel X710 for 10GBASE-T
OS,,Ubuntu 23.10,CentOS Stream 9,Fedora Linux 39,Arch Linux
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),6.7.6-arch1-2 (x86_64)
Compiler,,GCC 13.2.0,GCC 11.4.1 20231218,GCC 13.2.1 20231205,GCC 13.2.1 20230801
File-System,,ext4,xfs,xfs,btrfs
Screen Resolution,,1024x768,1920x1200,1024x768,1920x1200
Desktop,,,GNOME Shell 40.10,,
Display Server,,,X Server,,
,,"Ubuntu Linux 23.10","CentOS Stream 9","Fedora Server 39","Arch Linux"
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,464813,751070,496138,759279
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,455056,434200,428601,482076
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,37.971018,63.635840,37.720076,43.669234
"ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,205.20,183.62,188.71,209.64
"ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,214.31,200.18,202.14,221.80
"ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,215.62,201.05,206.83,221.71
"CloverLeaf - Input: clover_bm16 (sec)",LIB,279.21,314.49,255.39,356.23
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,32.10,25.01,31.63,30.30
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,177.754,205.005,156.237,145.713
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,100.3399,105.6194,142.1675,118.7400
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,144.9195,177.7960,179.5403,148.6022
"GPAW - Input: Carbon Nanotube (sec)",LIB,38.637,,194.508,
"Graph500 - Scale: 26 (bfs median_TEPS)",HIB,1226550000,1464120000,1195510000,1275690000
"Graph500 - Scale: 26 (bfs max_TEPS)",HIB,1289580000,1499600000,1253250000,1323480000
"Graph500 - Scale: 26 (sssp median_TEPS)",HIB,483534000,466398000,493031000,509964000
"Graph500 - Scale: 26 (sssp max_TEPS)",HIB,664991000,640794000,663412000,692893000
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,9.630,5.939,7.180,13.638
"High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,71.1371,71.1332,72.4575,71.1292
"High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,69.3362,69.1728,70.3805,70.1210
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,4.53,5.04,4.68,4.75
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,4.54,4.90,4.70,4.75
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,2.18,2.51,2.25,2.36
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,56.683,57.836,57.677,62.990
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,37.518,39.795,39.009,42.751
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,15,,,
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,380,,,
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3370014.38,3337339.10,5054518.76,5462773.67
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3477137.28,2615816.73,8983240.52,9633352.44
"NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,4.70711,3.20328,5.40706,5.59956
"NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,1.49004,0.50251,1.92977,1.74784
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,132.6789,132.9101,,134.2065
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,478.7631,478.0315,,474.2419
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4547.5395,4462.5255,,4534.8946
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,14.0573,14.3182,,14.0959
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1837.1113,1863.3429,,1868.7705
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.7603,34.2906,,34.2134
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,11099.6440,11022.3020,,11213.1629
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,5.7515,5.7833,,5.6953
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,829.5063,827.9914,,834.1920
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,77.0180,77.1671,,76.6571
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,155.8178,152.5678,,154.3216
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,409.0089,416.6816,,413.3838
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1826.0447,1866.5153,,1839.9833
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.9884,34.2262,,34.7428
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,853.2079,853.3374,,857.8494
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,74.8838,74.8038,,74.5256
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1223.1639,1223.6470,,1227.3743
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,52.2774,52.2360,,52.1246
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,176.5691,173.9515,,181.3330
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,361.2877,366.3831,,351.7460
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1866.2259,1810.9508,,1878.4478
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,34.2545,35.2846,,34.0360
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,133.2063,133.2818,,134.9333
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,477.1362,476.5785,,471.8157
"NWChem - Input: C240 Buckyball (sec)",LIB,1750.3,,,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,375.75,328.37,340.97,392.84
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,85.06,97.34,93.74,81.35
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,519.83,528.79,529.14,531.53
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,245.98,241.67,241.70,240.65
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,8901.61,8908.74,8862.07,8956.37
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,14.37,14.36,14.43,14.28
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,24570.10,24295.71,24296.54,24355.33
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.20,5.25,5.25,5.24
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,2377.90,2412.51,2383.22,2409.76
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,53.79,53.02,53.67,53.08
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,1143.25,617.45,978.70,1092.75
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,27.93,52.09,32.67,29.23
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,43516.98,40187.34,42419.89,41472.25
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,2.85,3.02,2.86,2.94
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,10033.95,10113.47,10082.93,10197.22
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,12.74,12.65,12.69,12.54
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,3217.84,3196.47,3255.16,3189.70
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,39.76,40.02,39.30,40.11
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,61020.16,60429.54,56624.98,64056.00
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.80,0.83,0.83,0.77
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,2821,2815,2821,2951
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,20.6546,20.5021,20.4442,20.6673
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,20.7725,20.4427,20.5419,20.7789
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,82.9700,83.5652,82.1380,82.5113
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,28.6088,29.7626,28.6637,34.0487
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,28.9162,29.5104,28.430,31.5793
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,32.3212,33.2938,31.6999,33.3694
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,914,,902,874
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,911,,897,867
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1079,,1058,1026
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,12086,,12187,11575
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32279,,28035,23884
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,12243,,12262,11658
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,33174,,27524,23687
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14508,,14422,13639
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,37285,,34698,33976
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,234,,235,226
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,233,,233,223
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,276,,276,265
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3718,,3683,3591
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6448,,6314,6380
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,3694,,3655,3544
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6324,,6303,6399
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4353,,4377,4173
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7321,,7424,7043
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,679317,,,698734
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,1.489,,,1.440
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,39542,,,18536
"PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,25.616,,,54.085
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,7680222,7398333,7367500,7723667
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,5931500,5800833,5835818,5865500
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,6744778,6381000,6759600,7013889
"RawTherapee - Total Benchmark Time (sec)",LIB,129.079,,118.228,107.048
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,1541713.80,1821521.39,1838671.43,1777534.65
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,2134872.89,1978937.18,2125843.97,2231227.61
"RocksDB - Test: Random Read (Op/s)",HIB,599822046,,652854125,608345894
"RocksDB - Test: Update Random (Op/s)",HIB,125560,,123092,127451
"RocksDB - Test: Read While Writing (Op/s)",HIB,9775989,,8567006,9385652
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,955461,,1184837,932034
"Speedb - Test: Random Read (Op/s)",HIB,600703384,,626261826,616573385
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,2.307,2.358,2.346,2.395
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,21.317,21.560,21.161,22.046
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,66.857,69.868,71.518,73.717
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,66.430,69.718,70.874,72.906
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,73.12,76.68,,77.06
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,2.785,2.823,2.834,2.900
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,5.611,5.808,5.804,5.942
"Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,169.178579,184.192332,168.671819,187.266596
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,7.207,7.913,8.270,7.561
"Y-Cruncher - Pi Digits To Calculate: 5B (sec)",LIB,29.821,32.850,33.734,33.652