Core i5 4670 Haswell
Intel Core i5-4670 testing with a MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS) and MSI Intel HD 4600 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010026-FI-COREI546720&sor&grw.
System GZIP Decompression
Hierarchical INTegration
Test: FLOAT
Tesseract OCR
Time To OCR 7 Images
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
G'MIC
Test: 2D Function Plotting, 1000 Times
G'MIC
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
G'MIC
Test: 3D Elevated Function In Random Colors, 100 Times
LibRaw
Post-Processing Benchmark
RawTherapee
Total Benchmark Time
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
librsvg
Operation: SVG Files To PNG
OCRMyPDF
Processing 60 Page PDF Document
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
Timed HMMer Search
Pfam Database Search
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
Dolfyn
Computational Fluid Dynamics
RNNoise
ECP-CANDLE
Benchmark: P1B2
ECP-CANDLE
Benchmark: P3B1
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: inception-v3
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Inception V4
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Inception ResNet V2
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
NCNN
Target: CPU - Model: squeezenet
NCNN
Target: CPU - Model: mobilenet
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: yolov4-tiny
Mlpack Benchmark
Benchmark: scikit_ica
Mlpack Benchmark
Benchmark: scikit_qda
Mlpack Benchmark
Benchmark: scikit_svm
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
GROMACS
Water Benchmark
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
NAMD
ATPase Simulation - 327,506 Atoms
FFTE
N=256, 3D Complex FFT Routine
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Incompact3D
Input: Cylinder
Timed GDB GNU Debugger Compilation
Time To Compile
Timed Apache Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Timed Linux Kernel Compilation
Time To Compile
AOM AV1
Encoder Mode: Speed 4 Two-Pass
AOM AV1
Encoder Mode: Speed 6 Realtime
AOM AV1
Encoder Mode: Speed 6 Two-Pass
AOM AV1
Encoder Mode: Speed 8 Realtime
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
Build2
Time To Compile
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Phoronix Test Suite v10.8.4