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.

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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 9 Tests
Creator Workloads 11 Tests
Database Test Suite 3 Tests
Encoding 2 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 14 Tests
Imaging 6 Tests
Machine Learning 7 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 5 Tests
Multi-Core 10 Tests
NVIDIA GPU Compute 4 Tests
OCR 2 Tests
OpenMPI Tests 6 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 3 Tests
Scientific Computing 6 Tests
Server 3 Tests
Server CPU Tests 5 Tests
Single-Threaded 2 Tests
Video Encoding 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 5.4
September 25 2020
  14 Hours, 57 Minutes
Linux 5.8
September 26 2020
  14 Hours, 54 Minutes
Linux 5.9 Git
September 26 2020
  15 Hours, 30 Minutes
Invert Hiding All Results Option
  15 Hours, 7 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Xeon Broadwell September 2020 Suite 1.0.0 System Test suite extracted from Xeon Broadwell September 2020. pts/opencv-1.0.0 dnn Test: DNN - Deep Neural Network pts/pgbench-1.10.1 -s 1 -c 250 Scaling Factor: 1 - Clients: 250 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 250 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 100 Scaling Factor: 1 - Clients: 100 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 100 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 100 -c 250 -S Scaling Factor: 100 - Clients: 250 - Mode: Read Only pts/pgbench-1.10.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 250 -S Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 250 -S Scaling Factor: 1 - Clients: 250 - Mode: Read Only pts/lczero-1.5.0 -b blas Backend: BLAS pts/pgbench-1.10.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only pts/pgbench-1.10.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/aom-av1-2.1.2 --cpu-used=8 --rt Encoder Mode: Speed 8 Realtime pts/lczero-1.5.0 -b eigen Backend: Eigen pts/pgbench-1.10.1 -s 1 -c 100 -S Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 100 -S Scaling Factor: 1 - Clients: 100 - Mode: Read Only pts/astcenc-1.0.0 -fast Preset: Fast pts/build-linux-kernel-1.10.2 Time To Compile pts/ai-benchmark-1.0.0 Device Training Score pts/ai-benchmark-1.0.0 Device Inference Score pts/ai-benchmark-1.0.0 Device AI Score pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/build-apache-1.6.1 Time To Compile pts/rodinia-1.3.1 OMP_HOTSPOT3D Test: OpenMP HotSpot3D pts/gromacs-1.3.0 Water Benchmark pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/aom-av1-2.1.2 --cpu-used=6 --rt Encoder Mode: Speed 6 Realtime pts/espeak-1.6.0 Text-To-Speech Synthesis pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/mnn-1.0.1 Model: inception-v3 pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/influxdb-1.0.0 -c 4 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/lammps-1.2.1 benchmark_20k_atoms.in Model: 20k Atoms pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/compress-zstd-1.2.1 -b19 Compression Level: 19 system/tesseract-ocr-1.0.1 Time To OCR 7 Images pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/montage-1.0.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/rodinia-1.3.1 OMP_STREAMCLUSTER Test: OpenMP Streamcluster pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/libraw-1.0.0 Post-Processing Benchmark pts/rodinia-1.3.1 OMP_LEUKOCYTE Test: OpenMP Leukocyte pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/influxdb-1.0.0 -c 1024 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/rodinia-1.3.1 OMP_CFD Test: OpenMP CFD Solver pts/mnn-1.0.1 Model: MobileNetV2_224 pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/mnn-1.0.1 Model: resnet-v2-50 pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/webp-1.0.0 Encode Settings: Default system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/gpaw-1.0.0 carbon-nanotube Input: Carbon Nanotube pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/rodinia-1.3.1 OMP_LAVAMD Test: OpenMP LavaMD pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/astcenc-1.0.0 -thorough Preset: Thorough pts/influxdb-1.0.0 -c 64 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 system/gmic-1.0.0 repeat 100 128,128,1,3,"u(0,255)" plasma 10,3 blur 4 sharpen 10000 elevation3d[-1] "'X=(x-64)/6;Y=(y-64)/6;100*exp(-(X^2+Y^2)/30)*abs(cos(X)*sin(Y))'" done output output.png Test: 3D Elevated Function In Random Colors, 100 Times pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/astcenc-1.0.0 -exhaustive Preset: Exhaustive pts/astcenc-1.0.0 -medium Preset: Medium pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/system-decompress-gzip-1.1.1 pts/aom-av1-2.1.2 --cpu-used=6 --limit=80 Encoder Mode: Speed 6 Two-Pass pts/aom-av1-2.1.2 --cpu-used=4 --limit=40 Encoder Mode: Speed 4 Two-Pass pts/aom-av1-2.1.2 --cpu-used=0 --limit=10 Encoder Mode: Speed 0 Two-Pass pts/pgbench-1.10.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 250 Scaling Factor: 100 - Clients: 250 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write