Xeon Platinum Ubuntu 19.04
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2102095-HA-XEONPLATI27&grr.
Quantum ESPRESSO
Input: AUSURF112
OpenVKL
Benchmark: vklBenchmark
OpenVKL
Benchmark: vklBenchmarkUnstructuredVolume
YafaRay
Total Time For Sample Scene
Ngspice
Circuit: C2670
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
MariaDB
Clients: 256
MariaDB
Clients: 512
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
MariaDB
Clients: 128
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
TensorFlow Lite
Model: Inception ResNet V2
LuxCoreRender
Scene: Rainbow Colors and Prism
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Inception V4
Rodinia
Test: OpenMP Leukocyte
OpenVKL
Benchmark: vklBenchmarkStructuredVolume
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
OpenFOAM
Input: Motorbike 60M
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Timed HMMer Search
Pfam Database Search
Numpy Benchmark
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
High Performance Conjugate Gradient
Kripke
Nebular Empirical Analysis Tool
Incompact3D
Input: Cylinder
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
Rodinia
Test: OpenMP HotSpot3D
Ngspice
Circuit: C7552
Appleseed
Scene: Material Tester
ONNX Runtime
Model: fcn-resnet101-11 - Device: OpenMP CPU
ONNX Runtime
Model: bertsquad-10 - Device: OpenMP CPU
ONNX Runtime
Model: yolov4 - Device: OpenMP CPU
ONNX Runtime
Model: shufflenet-v2-10 - Device: OpenMP CPU
ONNX Runtime
Model: super-resolution-10 - Device: OpenMP CPU
Node.js V8 Web Tooling Benchmark
Timed MrBayes Analysis
Primate Phylogeny Analysis
Appleseed
Scene: Emily
PyPerformance
Benchmark: python_startup
Blender
Blend File: Classroom - Compute: CPU-Only
FinanceBench
Benchmark: Bonds OpenMP
ASKAP
Test: Hogbom Clean OpenMP
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
PyPerformance
Benchmark: raytrace
Redis
Test: SET
Chaos Group V-RAY
Mode: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Redis
Test: GET
Redis
Test: LPOP
OpenVKL
Benchmark: vklBenchmarkVdbVolume
PyPerformance
Benchmark: 2to3
SQLite Speedtest
Timed Time - Size 1,000
IndigoBench
Acceleration: CPU - Scene: Bedroom
FinanceBench
Benchmark: Repo OpenMP
IndigoBench
Acceleration: CPU - Scene: Supercar
LuxCoreRender
Scene: DLSC
Redis
Test: SADD
Rodinia
Test: OpenMP LavaMD
PyPerformance
Benchmark: go
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Appleseed
Scene: Disney Material
Himeno Benchmark
Poisson Pressure Solver
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve MPI - Degridding
GROMACS
Water Benchmark
NAMD
ATPase Simulation - 327,506 Atoms
Blender
Blend File: BMW27 - Compute: CPU-Only
QMCPACK
Input: simple-H2O
Rodinia
Test: OpenMP CFD Solver
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
PyPerformance
Benchmark: regex_compile
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
NAS Parallel Benchmarks
Test / Class: EP.D
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
OpenFOAM
Input: Motorbike 30M
QuantLib
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
LibRaw
Post-Processing Benchmark
PyPerformance
Benchmark: pathlib
PHPBench
PHP Benchmark Suite
x265
Video Input: Bosphorus 4K
Google SynthMark
Test: VoiceMark_100
PyPerformance
Benchmark: pickle_pure_python
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: json_loads
TNN
Target: CPU - Model: MobileNet v2
PyBench
Total For Average Test Times
TNN
Target: CPU - Model: SqueezeNet v1.1
Dolfyn
Computational Fluid Dynamics
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: nbody
Pennant
Test: sedovbig
PyPerformance
Benchmark: crypto_pyaes
Algebraic Multi-Grid Benchmark
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ArrayFire
Test: Conjugate Gradient CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
PyPerformance
Benchmark: float
WebP Image Encode
Encode Settings: Quality 100, Lossless
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
x265
Video Input: Bosphorus 1080p
Redis
Test: LPUSH
NAS Parallel Benchmarks
Test / Class: LU.C
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ArrayFire
Test: BLAS CPU
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
ACES DGEMM
Sustained Floating-Point Rate
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
Rodinia
Test: OpenMP Streamcluster
Pennant
Test: leblancbig
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Intel Open Image Denoise
Scene: Memorial
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
WebP Image Encode
Encode Settings: Quality 100
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Phoronix Test Suite v10.8.4