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&grr.
Rodinia
Test: OpenMP LavaMD
Incompact3D
Input: Cylinder
NAMD
ATPase Simulation - 327,506 Atoms
GROMACS
Water Benchmark
ASTC Encoder
Preset: Exhaustive
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Mlpack Benchmark
Benchmark: scikit_qda
Zstd Compression
Compression Level: 19
InfluxDB
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
YafaRay
Total Time For Sample Scene
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
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
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Rodinia
Test: OpenMP Leukocyte
Timed Linux Kernel Compilation
Time To Compile
libavif avifenc
Encoder Speed: 0
Timed GDB GNU Debugger Compilation
Time To Compile
Rodinia
Test: OpenMP CFD Solver
TensorFlow Lite
Model: Inception V4
TensorFlow Lite
Model: Inception ResNet V2
Hierarchical INTegration
Test: FLOAT
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
GEGL
Operation: Wavelet Blur
Timed FFmpeg Compilation
Time To Compile
Timed HMMer Search
Pfam Database Search
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
Rodinia
Test: OpenMP HotSpot3D
Timed PHP Compilation
Time To Compile
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
libavif avifenc
Encoder Speed: 2
BYTE Unix Benchmark
Computational Test: Dhrystone 2
RNNoise
RawTherapee
Total Benchmark Time
GLmark2
Resolution: 1920 x 1080
GEGL
Operation: Cartoon
Timed MPlayer Compilation
Time To Compile
GEGL
Operation: Reflect
Hugin
Panorama Photo Assistant + Stitching Time
ASTC Encoder
Preset: Thorough
GEGL
Operation: Color Enhance
GEGL
Operation: Rotate 90 Degrees
KeyDB
Mlpack Benchmark
Benchmark: scikit_ica
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Mobilenet Quant
GEGL
Operation: Antialias
LibRaw
Post-Processing Benchmark
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
GIMP
Test: unsharp-mask
OCRMyPDF
Processing 60 Page PDF Document
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
GEGL
Operation: Tile Glass
Timed Apache Compilation
Time To Compile
Rodinia
Test: OpenMP Streamcluster
Zstd Compression
Compression Level: 3
Darktable
Test: Boat - Acceleration: CPU-only
Tesseract OCR
Time To OCR 7 Images
Mlpack Benchmark
Benchmark: scikit_svm
librsvg
Operation: SVG Files To PNG
Dolfyn
Computational Fluid Dynamics
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
WebP Image Encode
Encode Settings: Quality 100, Lossless
ASTC Encoder
Preset: Medium
GNU Octave Benchmark
GIMP
Test: auto-levels
GIMP
Test: rotate
GIMP
Test: resize
GEGL
Operation: Crop
libavif avifenc
Encoder Speed: 8
ASTC Encoder
Preset: Fast
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
libavif avifenc
Encoder Speed: 10
GEGL
Operation: Scale
WebP Image Encode
Encode Settings: Quality 100
FFTE
N=256, 3D Complex FFT Routine
WebP Image Encode
Encode Settings: Default
Darktable
Test: Server Rack - Acceleration: CPU-only
Phoronix Test Suite v10.8.5