Core i9 10980XE Pop OS Skylake Opt Test
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Pop 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2007118-NE-COREI910948&sro&grs.
glibc bench
Benchmark: modf
glibc bench
Benchmark: log2
glibc bench
Benchmark: tanh
glibc bench
Benchmark: sincos
dav1d
Video Input: Chimera 1080p 10-bit
glibc bench
Benchmark: ffs
Himeno Benchmark
Poisson Pressure Solver
glibc bench
Benchmark: sqrt
glibc bench
Benchmark: atanh
glibc bench
Benchmark: ffsll
glibc bench
Benchmark: exp
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Rodinia
Test: OpenMP Leukocyte
Rodinia
Test: OpenMP LavaMD
glibc bench
Benchmark: sinh
Rodinia
Test: OpenMP CFD Solver
glibc bench
Benchmark: asinh
libavif avifenc
Encoder Speed: 8
Cython benchmark
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 10
Coremark
CoreMark Size 666 - Iterations Per Second
PyBench
Total For Average Test Times
Redis
Test: SET
libavif avifenc
Encoder Speed: 2
Montage Astronomical Image Mosaic Engine
Mosaic of M17, K band, 1.5 deg x 1.5 deg
Rodinia
Test: OpenMP HotSpot3D
PyPerformance
Benchmark: nbody
Timed MAFFT Alignment
Multiple Sequence Alignment
AOM AV1
Encoder Mode: Speed 8 Realtime
PyPerformance
Benchmark: json_loads
dav1d
Video Input: Summer Nature 1080p
Numpy Benchmark
NAS Parallel Benchmarks
Test / Class: BT.C
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
Zstd Compression
Compression Level: 3
PyPerformance
Benchmark: pathlib
SQLite Speedtest
Timed Time - Size 1,000
glibc bench
Benchmark: sin
Numenta Anomaly Benchmark
Detector: Earthgecko Skyline
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
PyPerformance
Benchmark: pickle_pure_python
glibc bench
Benchmark: cos
AOM AV1
Encoder Mode: Speed 6 Two-Pass
NAS Parallel Benchmarks
Test / Class: MG.C
PyPerformance
Benchmark: go
NAS Parallel Benchmarks
Test / Class: SP.B
AOM AV1
Encoder Mode: Speed 4 Two-Pass
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU
PyPerformance
Benchmark: crypto_pyaes
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU
NAS Parallel Benchmarks
Test / Class: EP.C
Stockfish
Total Time
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
NAS Parallel Benchmarks
Test / Class: FT.C
ACES DGEMM
Sustained Floating-Point Rate
PyPerformance
Benchmark: raytrace
Rodinia
Test: OpenMP Streamcluster
NAS Parallel Benchmarks
Test / Class: EP.D
PyPerformance
Benchmark: float
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Numenta Anomaly Benchmark
Detector: Bayesian Changepoint
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
PyPerformance
Benchmark: django_template
OCRMyPDF
Processing 60 Page PDF Document
BRL-CAD
VGR Performance Metric
Timed MrBayes Analysis
Primate Phylogeny Analysis
oneDNN
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
PyPerformance
Benchmark: chaos
AI Benchmark Alpha
Device Inference Score
Hugin
Panorama Photo Assistant + Stitching Time
Numenta Anomaly Benchmark
Detector: EXPoSE
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
dav1d
Video Input: Chimera 1080p
AI Benchmark Alpha
Device AI Score
Zstd Compression
Compression Level: 19
NAS Parallel Benchmarks
Test / Class: LU.C
AI Benchmark Alpha
Device Training Score
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
glibc bench
Benchmark: pthread_once
Numenta Anomaly Benchmark
Detector: Windowed Gaussian
AOM AV1
Encoder Mode: Speed 6 Realtime
Numenta Anomaly Benchmark
Detector: Relative Entropy
High Performance Conjugate Gradient
dav1d
Video Input: Summer Nature 4K
Mlpack Benchmark
Benchmark: scikit_svm
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
Scikit-Learn
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
Redis
Test: GET
John The Ripper
Test: MD5
John The Ripper
Test: Blowfish
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: 2to3
GROMACS
Water Benchmark
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
C-Blosc
Compressor: blosclz
YafaRay
Total Time For Sample Scene
POV-Ray
Trace Time
Phoronix Test Suite v10.8.5