7700K Intel 2020
Intel Core i7-7700K testing with a MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS) and MSI Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010143-FI-7700KINTE31&sor&grw.
System GZIP Decompression
XZ Compression
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
Java Gradle Build
Gradle Build: Reactor
Stress-NG
Test: MMAP
Stress-NG
Test: NUMA
Stress-NG
Test: MEMFD
Stress-NG
Test: Atomic
Stress-NG
Test: Crypto
Stress-NG
Test: Malloc
Stress-NG
Test: RdRand
Stress-NG
Test: Forking
Stress-NG
Test: SENDFILE
Stress-NG
Test: CPU Cache
Stress-NG
Test: CPU Stress
Stress-NG
Test: Semaphores
Stress-NG
Test: Matrix Math
Stress-NG
Test: Vector Math
Stress-NG
Test: Memory Copying
Stress-NG
Test: Socket Activity
Stress-NG
Test: Context Switching
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: System V Message Passing
DaCapo Benchmark
Java Test: H2
DaCapo Benchmark
Java Test: Jython
DaCapo Benchmark
Java Test: Tradesoap
Renaissance
Test: Scala Dotty
Renaissance
Test: Random Forest
Renaissance
Test: Apache Spark ALS
Renaissance
Test: Apache Spark Bayes
Renaissance
Test: Savina Reactors.IO
Renaissance
Test: Apache Spark PageRank
Renaissance
Test: In-Memory Database Shootout
Renaissance
Test: Akka Unbalanced Cobwebbed Tree
Hierarchical INTegration
Test: FLOAT
Tesseract OCR
Time To OCR 7 Images
BRL-CAD
VGR Performance Metric
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
Montage Astronomical Image Mosaic Engine
Mosaic of M17, K band, 1.5 deg x 1.5 deg
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
OCRMyPDF
Processing 60 Page PDF Document
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
GLmark2
Resolution: 1920 x 1080
GLmark2
Resolution: 1920 x 1200
GLmark2
Resolution: 2560 x 1440
GLmark2
Resolution: 3840 x 2160
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
Timed HMMer Search
Pfam Database Search
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
LeelaChessZero
Backend: Random
Dolfyn
Computational Fluid Dynamics
RNNoise
AI Benchmark Alpha
Device Inference Score
AI Benchmark Alpha
Device Training Score
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
AI Benchmark Alpha
Device AI Score
Mobile Neural Network
Model: SqueezeNetV1.0
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
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
OpenCV
Test: Features 2D
OpenCV
Test: Object Detection
OpenCV
Test: DNN - Deep Neural Network
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
NCNN
Target: Vulkan GPU - Model: squeezenet
NCNN
Target: Vulkan GPU - Model: mobilenet
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - 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
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
FFTE
N=256, 3D Complex FFT Routine
Kripke
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Incompact3D
Input: Cylinder
GPAW
Input: Carbon Nanotube
Sunflow Rendering System
Global Illumination + Image Synthesis
WireGuard + Linux Networking Stack Stress Test
Timed Apache Compilation
Time To Compile
7-Zip Compression
Compress Speed Test
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Timed Linux Kernel Compilation
Time To Compile
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
Chaos Group V-RAY
Mode: CPU
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
NeatBench
Acceleration: CPU
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
Build2
Time To Compile
RealSR-NCNN
Scale: 4x - TAA: No
VkFFT
PyPerformance
Benchmark: go
PyPerformance
Benchmark: 2to3
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: float
PyPerformance
Benchmark: nbody
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: json_loads
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: pickle_pure_python
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
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