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&grr.
Kripke
Renaissance
Test: Apache Spark PageRank
Renaissance
Test: Apache Spark Bayes
Java Gradle Build
Gradle Build: Reactor
Renaissance
Test: Apache Spark ALS
Incompact3D
Input: Cylinder
Renaissance
Test: Savina Reactors.IO
GROMACS
Water Benchmark
GPAW
Input: Carbon Nanotube
ASTC Encoder
Preset: Exhaustive
Renaissance
Test: Random Forest
Rodinia
Test: OpenMP LavaMD
AI Benchmark Alpha
Device AI Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device Inference Score
VkFFT
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
LeelaChessZero
Backend: Random
Renaissance
Test: Akka Unbalanced Cobwebbed Tree
Hierarchical INTegration
Test: FLOAT
BRL-CAD
VGR Performance Metric
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Mlpack Benchmark
Benchmark: scikit_qda
RealSR-NCNN
Scale: 4x - TAA: No
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Renaissance
Test: In-Memory Database Shootout
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU - Model: mobilenet
NCNN
Target: Vulkan GPU - Model: squeezenet
Rodinia
Test: OpenMP Leukocyte
Build2
Time To Compile
WireGuard + Linux Networking Stack Stress Test
OpenCV
Test: Features 2D
TensorFlow Lite
Model: Inception V4
Timed Linux Kernel Compilation
Time To Compile
dav1d
Video Input: Chimera 1080p 10-bit
TensorFlow Lite
Model: Inception ResNet V2
NAMD
ATPase Simulation - 327,506 Atoms
libavif avifenc
Encoder Speed: 0
Renaissance
Test: Scala Dotty
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
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
BYTE Unix Benchmark
Computational Test: Dhrystone 2
GLmark2
Resolution: 3840 x 2160
GLmark2
Resolution: 2560 x 1440
GLmark2
Resolution: 1920 x 1080
GLmark2
Resolution: 1920 x 1200
Stress-NG
Test: Atomic
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Zstd Compression
Compression Level: 19
Timed HMMer Search
Pfam Database Search
Rodinia
Test: OpenMP HotSpot3D
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
OpenCV
Test: Object Detection
libavif avifenc
Encoder Speed: 2
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
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
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
Montage Astronomical Image Mosaic Engine
Mosaic of M17, K band, 1.5 deg x 1.5 deg
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
KeyDB
Stress-NG
Test: System V Message Passing
PyPerformance
Benchmark: raytrace
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
Chaos Group V-RAY
Mode: CPU
PyPerformance
Benchmark: python_startup
Mlpack Benchmark
Benchmark: scikit_ica
ASTC Encoder
Preset: Thorough
Hugin
Panorama Photo Assistant + Stitching Time
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: NASNet Mobile
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
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
OpenCV
Test: DNN - Deep Neural Network
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
DaCapo Benchmark
Java Test: Tradesoap
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
PyPerformance
Benchmark: 2to3
OCRMyPDF
Processing 60 Page PDF Document
XZ Compression
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
PyPerformance
Benchmark: go
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
Rodinia
Test: OpenMP CFD Solver
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
dav1d
Video Input: Summer Nature 4K
Stress-NG
Test: Socket Activity
LibRaw
Post-Processing Benchmark
PyPerformance
Benchmark: float
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: chaos
DaCapo Benchmark
Java Test: H2
7-Zip Compression
Compress Speed Test
Stress-NG
Test: RdRand
dav1d
Video Input: Chimera 1080p
Stress-NG
Test: NUMA
Stress-NG
Test: CPU Stress
Stress-NG
Test: MMAP
Stress-NG
Test: Malloc
Stress-NG
Test: MEMFD
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Memory Copying
Stress-NG
Test: Matrix Math
Stress-NG
Test: CPU Cache
Stress-NG
Test: SENDFILE
Stress-NG
Test: Semaphores
Stress-NG
Test: Crypto
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Context Switching
Stress-NG
Test: Vector Math
Stress-NG
Test: Forking
PyPerformance
Benchmark: regex_compile
Zstd Compression
Compression Level: 3
PyPerformance
Benchmark: pathlib
Mlpack Benchmark
Benchmark: scikit_svm
Timed Apache Compilation
Time To Compile
DaCapo Benchmark
Java Test: Jython
RNNoise
Tesseract OCR
Time To OCR 7 Images
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
PyPerformance
Benchmark: pickle_pure_python
TNN
Target: CPU - Model: MobileNet v2
Rodinia
Test: OpenMP Streamcluster
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
PyPerformance
Benchmark: json_loads
TNN
Target: CPU - Model: SqueezeNet v1.1
PyPerformance
Benchmark: nbody
Sunflow Rendering System
Global Illumination + Image Synthesis
Dolfyn
Computational Fluid Dynamics
WebP Image Encode
Encode Settings: Quality 100, Lossless
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
System GZIP Decompression
ASTC Encoder
Preset: Medium
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
dav1d
Video Input: Summer Nature 1080p
ASTC Encoder
Preset: Fast
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
libavif avifenc
Encoder Speed: 8
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
libavif avifenc
Encoder Speed: 10
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
NeatBench
Acceleration: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
FFTE
N=256, 3D Complex FFT Routine
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Default
Phoronix Test Suite v10.8.5