Core i7 4790K Haswell Intel Linux
Intel Core i7-4790K testing with a Gigabyte Z97-HD3P (F4 BIOS) and Gigabyte Intel Haswell Desktop 2GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010102-FI-COREI747931&sro&grs.
Incompact3D
Input: Cylinder
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
LevelDB
Benchmark: Random Delete
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
GPAW
Input: Carbon Nanotube
GLmark2
Resolution: 3840 x 2160
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
GLmark2
Resolution: 1920 x 1080
GLmark2
Resolution: 2560 x 1440
GLmark2
Resolution: 1920 x 1200
PyPerformance
Benchmark: python_startup
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
ArrayFire
Test: BLAS CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
Timed GDB GNU Debugger Compilation
Time To Compile
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
SMHasher
Hash: t1ha0_aes_avx2
dav1d
Video Input: Summer Nature 4K
Timed HMMer Search
Pfam Database Search
NCNN
Target: CPU - Model: mnasnet
LULESH
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: efficientnet-b0
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
7-Zip Compression
Compress Speed Test
NCNN
Target: CPU - Model: alexnet
Timed Apache Compilation
Time To Compile
NCNN
Target: CPU - Model: squeezenet
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: resnet18
InfluxDB
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
NCNN
Target: CPU - Model: blazeface
dav1d
Video Input: Chimera 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
PyPerformance
Benchmark: pathlib
Java Gradle Build
Gradle Build: Reactor
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Nebular Empirical Analysis Tool
Build2
Time To Compile
LevelDB
Benchmark: Random Read
Tesseract OCR
Time To OCR 7 Images
LevelDB
Benchmark: Hot Read
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
ArrayFire
Test: Conjugate Gradient CPU
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
NCNN
Target: CPU - Model: resnet50
Zstd Compression
Compression Level: 3
C-Blosc
Compressor: blosclz
PostMark
Disk Transaction Performance
x264
H.264 Video Encoding
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Dolfyn
Computational Fluid Dynamics
LuxCoreRender
Scene: DLSC
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Basis Universal
Settings: UASTC Level 0
NCNN
Target: CPU - Model: mobilenet
LuxCoreRender
Scene: Rainbow Colors and Prism
SMHasher
Hash: t1ha2_atonce
Montage Astronomical Image Mosaic Engine
Mosaic of M17, K band, 1.5 deg x 1.5 deg
libavif avifenc
Encoder Speed: 10
Embree
Binary: Pathtracer ISPC - Model: Crown
libavif avifenc
Encoder Speed: 0
lzbench
Test: Zstd 8 - Process: Decompression
Hugin
Panorama Photo Assistant + Stitching Time
Git
Time To Complete Common Git Commands
GNU Octave Benchmark
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
G'MIC
Test: 2D Function Plotting, 1000 Times
AOM AV1
Encoder Mode: Speed 6 Two-Pass
dav1d
Video Input: Chimera 1080p 10-bit
LevelDB
Benchmark: Seek Random
KeyDB
SMHasher
Hash: MeowHash
TNN
Target: CPU - Model: MobileNet v2
PyPerformance
Benchmark: django_template
Zstd Compression
Compression Level: 19
Crafty
Elapsed Time
AOM AV1
Encoder Mode: Speed 8 Realtime
PyPerformance
Benchmark: float
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Basis Universal
Settings: ETC1S
OCRMyPDF
Processing 60 Page PDF Document
OpenVKL
Benchmark: vklBenchmark
libavif avifenc
Encoder Speed: 8
Timed Linux Kernel Compilation
Time To Compile
Timed LLVM Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
dav1d
Video Input: Summer Nature 1080p
Tensorflow
Build: Cifar10
WebP Image Encode
Encode Settings: Default
lzbench
Test: Crush 0 - Process: Decompression
libavif avifenc
Encoder Speed: 2
Timed FFmpeg Compilation
Time To Compile
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
ASTC Encoder
Preset: Fast
NCNN
Target: CPU - Model: shufflenet-v2
lzbench
Test: Brotli 0 - Process: Decompression
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Embree
Binary: Pathtracer - Model: Asian Dragon
Mlpack Benchmark
Benchmark: scikit_qda
PyPerformance
Benchmark: regex_compile
Basis Universal
Settings: UASTC Level 3
Algebraic Multi-Grid Benchmark
RawTherapee
Total Benchmark Time
Timed MPlayer Compilation
Time To Compile
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
NCNN
Target: CPU - Model: vgg16
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
PyPerformance
Benchmark: json_loads
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Botan
Test: AES-256
lzbench
Test: Zstd 1 - Process: Compression
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
BRL-CAD
VGR Performance Metric
WebP Image Encode
Encode Settings: Quality 100, Lossless
LibRaw
Post-Processing Benchmark
PyPerformance
Benchmark: 2to3
Basis Universal
Settings: UASTC Level 2
Hierarchical INTegration
Test: FLOAT
AOM AV1
Encoder Mode: Speed 6 Realtime
G'MIC
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
TensorFlow Lite
Model: Inception V4
GROMACS
Water Benchmark
TensorFlow Lite
Model: Mobilenet Float
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
PyPerformance
Benchmark: pickle_pure_python
SMHasher
Hash: wyhash
lzbench
Test: Brotli 0 - Process: Compression
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Inception ResNet V2
TNN
Target: CPU - Model: SqueezeNet v1.1
SMHasher
Hash: Spooky32
John The Ripper
Test: MD5
Tachyon
Total Time
TensorFlow Lite
Model: NASNet Mobile
WebP Image Encode
Encode Settings: Quality 100
ASTC Encoder
Preset: Thorough
TensorFlow Lite
Model: Mobilenet Quant
System GZIP Decompression
Botan
Test: Blowfish
lzbench
Test: Brotli 2 - Process: Decompression
ASTC Encoder
Preset: Exhaustive
Mlpack Benchmark
Benchmark: scikit_ica
SMHasher
Hash: t1ha2_atonce
John The Ripper
Test: Blowfish
Botan
Test: KASUMI
TSCP
AI Chess Performance
PyPerformance
Benchmark: crypto_pyaes
Botan
Test: Twofish
ASTC Encoder
Preset: Medium
G'MIC
Test: 3D Elevated Function In Random Colors, 100 Times
YafaRay
Total Time For Sample Scene
Mlpack Benchmark
Benchmark: scikit_svm
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
lzbench
Test: Libdeflate 1 - Process: Decompression
SMHasher
Hash: Spooky32
SMHasher
Hash: MeowHash
lzbench
Test: Zstd 1 - Process: Decompression
NAMD
ATPase Simulation - 327,506 Atoms
Botan
Test: CAST-256
SMHasher
Hash: wyhash
SMHasher
Hash: fasthash32
SMHasher
Hash: fasthash32
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: nbody
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: go
Intel Open Image Denoise
Scene: Memorial
SMHasher
Hash: t1ha0_aes_avx2
lzbench
Test: Libdeflate 1 - Process: Compression
lzbench
Test: Brotli 2 - Process: Compression
lzbench
Test: Crush 0 - Process: Compression
lzbench
Test: Zstd 8 - Process: Compression
lzbench
Test: XZ 0 - Process: Decompression
lzbench
Test: XZ 0 - Process: Compression
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Fill Sync
RNNoise
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
FFTE
N=256, 3D Complex FFT Routine
Phoronix Test Suite v10.8.5