Intel Xeon E5-2609 v4 testing with a MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS) and llvmpipe on Ubuntu 20.04 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 2009272-FI-XEONBROAD92
Xeon Broadwell September 2020
Intel Xeon E5-2609 v4 testing with a MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.
,,"Linux 5.4","Linux 5.8","Linux 5.9 Git"
Processor,,Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores),Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores),Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores)
Motherboard,,MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS),MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS),MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS)
Chipset,,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon
Memory,,16GB,16GB,16GB
Disk,,256GB CORSAIR FORCE LX,256GB CORSAIR FORCE LX,256GB CORSAIR FORCE LX
Graphics,,llvmpipe,llvmpipe,llvmpipe
Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892
Network,,Intel I218-V,Intel I218-V,Intel I218-V
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.4.0-37-generic (x86_64),5.8.0-050800-generic (x86_64),5.9.0-050900rc6daily20200926-generic (x86_64) 20200925
Desktop,,GNOME Shell 3.36.2,GNOME Shell 3.36.2,GNOME Shell 3.36.2
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8
OpenGL,,3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits),3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits),3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits)
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1024x768,1024x768,1024x768
,,"Linux 5.4","Linux 5.8","Linux 5.9 Git"
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,562,557,555
"AI Benchmark Alpha - Device Training Score (Score)",HIB,611,603,604
"AI Benchmark Alpha - Device AI Score (Score)",HIB,1173,1160,1159
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.11,0.11,0.11
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,0.92,0.92,0.92
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,8.59,8.64,8.64
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,1.47,1.47,1.47
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,17.76,17.41,17.49
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,233.820,204.874,204.163
"ASTC Encoder - Preset: Fast (sec)",LIB,6.66,6.77,6.69
"ASTC Encoder - Preset: Medium (sec)",LIB,16.21,16.22,16.22
"ASTC Encoder - Preset: Thorough (sec)",LIB,100.66,100.76,100.79
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,798.09,798.28,798.64
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,79.257,79.643,79.682
"G'MIC - Test: 3D Elevated Function In Random Colors, 100 Times (sec)",LIB,158.372,158.307,158.468
"GPAW - Input: Carbon Nanotube (sec)",LIB,535.087,535.472,534.728
"GROMACS - Water Benchmark (Ns/Day)",HIB,0.457,0.456,0.453
"Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,135.739,135.759,135.562
"Incompact3D - Input: Cylinder (sec)",LIB,872.990051,875.000183,875.545430
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,683945.0,683785.9,687197.1
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,732223.0,731570.7,731282.1
"InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,742413.4,743354.9,741552.5
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,2.701,2.710,2.698
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.671,2.677,2.671
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,661,643,642
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,635,623,626
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,288.142,288.179,287.761
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,169.664,169.822,169.013
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,15.388,15.393,15.428
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,14.457,14.484,14.550
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,17.53,17.51,17.48
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,11.284,11.302,11.318
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,52.363,52.444,52.411
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,6.080,6.066,6.067
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,8.229,8.147,8.151
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,65.007,65.041,65.347
"Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,201.461,201.979,202.122
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,462,462,463
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,5.00531,5.00308,4.99935
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,28.46,28.51,28.45
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,34.01,34.71,34.65
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.42,9.43,9.43
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,8.44,8.40,8.44
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,7.32,7.27,7.31
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,8.96,8.98,8.98
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,13.33,13.28,13.27
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.11,3.12,3.11
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,28.86,28.89,28.90
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,71.23,71.53,71.39
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,25.20,25.27,25.27
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,26.70,26.58,26.53
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,47.01,47.05,47.05
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,53.34,53.40,53.33
"OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,78.804,79.005,78.981
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,6825,6291,6420
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,75185,74274,73149
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.665,0.673,0.684
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,72106,70942,72137
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,1.388,1.411,1.387
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,73377,72973,71221
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,3.408,3.429,3.512
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,435,454,452
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,115.079,110.213,110.573
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,423,441,441
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,236.467,226.999,226.898
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Write (TPS)",HIB,398,413,419
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,628.276,605.092,597.204
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,68749,67100,67846
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.727,0.746,0.738
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,66968,65706,65138
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,1.494,1.522,1.537
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,62275,60297,59853
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,4.016,4.148,4.179
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,4021,4154,4088
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,12.445,12.060,12.258
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,4763,4718,4878
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,21.089,21.205,20.555
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,4859,5286,4775
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,51.474,47.332,52.722
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,843.765,842.634,842.875
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,236.178,235.185,237.302
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,345.627,346.613,346.511
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,55.378,55.247,55.369
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,31.737,31.831,31.831
"System GZIP Decompression - (sec)",LIB,7.447,7.448,7.445
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,577135,578019,577584
"TensorFlow Lite - Model: Inception V4 (us)",LIB,8290180,8295930,8295183
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,417044,417737,417670
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,387769,387899,387939
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,391962,392109,392131
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,7500980,7506603,7505033
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,58.599,58.742,58.827
"Timed Apache Compilation - Time To Compile (sec)",LIB,56.931,56.880,57.428
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,254.117,254.670,257.509
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,666.602,663.116,663.425
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,640.794,640.455,640.524
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,4.074,4.068,4.073
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,6.217,6.233,6.194
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,41.142,41.157,41.120
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,18.387,18.431,18.393
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,86.342,86.622,86.674
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,2288.3,2297.9,2299.8
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,25.5,25.6,25.6