Core i7 4770K On Ubuntu 20.10
Intel Core i7-4770K testing with a Gigabyte Z97-HD3 (F10c BIOS) and Gigabyte Intel HD 4600 2GB on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010142-FI-COREI747741&sro&grw.
Hierarchical INTegration
Test: FLOAT
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Rack - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
Tesseract OCR
Time To OCR 7 Images
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
Hugin
Panorama Photo Assistant + Stitching Time
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
GEGL
Operation: Crop
GEGL
Operation: Scale
GEGL
Operation: Cartoon
GEGL
Operation: Reflect
GEGL
Operation: Antialias
GEGL
Operation: Tile Glass
GEGL
Operation: Wavelet Blur
GEGL
Operation: Color Enhance
GEGL
Operation: Rotate 90 Degrees
librsvg
Operation: SVG Files To PNG
OCRMyPDF
Processing 60 Page PDF Document
GIMP
Test: resize
GIMP
Test: rotate
GIMP
Test: auto-levels
GIMP
Test: unsharp-mask
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
GLmark2
Resolution: 1920 x 1080
Timed HMMer Search
Pfam Database Search
Dolfyn
Computational Fluid Dynamics
GNU Octave Benchmark
RNNoise
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
Rodinia
Test: OpenMP LavaMD
Rodinia
Test: OpenMP HotSpot3D
Rodinia
Test: OpenMP Leukocyte
Rodinia
Test: OpenMP CFD Solver
Rodinia
Test: OpenMP Streamcluster
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 FFmpeg Compilation
Time To Compile
Timed GDB GNU Debugger Compilation
Time To Compile
Timed MPlayer 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
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
YafaRay
Total Time For Sample Scene
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
InfluxDB
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
KeyDB
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Phoronix Test Suite v10.8.5