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