Core i7 8700K Fest
Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009247-FI-COREI787082&gru&sor.
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
AOM AV1
Encoder Mode: Speed 0 Two-Pass
AOM AV1
Encoder Mode: Speed 4 Two-Pass
AOM AV1
Encoder Mode: Speed 6 Realtime
AOM AV1
Encoder Mode: Speed 6 Two-Pass
AOM AV1
Encoder Mode: Speed 8 Realtime
perf-bench
Benchmark: Memcpy 1MB
perf-bench
Benchmark: Memset 1MB
LibRaw
Post-Processing Benchmark
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
LeelaChessZero
Backend: OpenCL
LeelaChessZero
Backend: Random
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
perf-bench
Benchmark: Epoll Wait
perf-bench
Benchmark: Futex Hash
perf-bench
Benchmark: Sched Pipe
perf-bench
Benchmark: Futex Lock-Pi
perf-bench
Benchmark: Syscall Basic
GLmark2
Resolution: 1920 x 1080
Kripke
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
NAMD
ATPase Simulation - 327,506 Atoms
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
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
NCNN
Target: CPU - Model: squeezenet_int8
NCNN
Target: CPU - Model: mobilenet_v3
NCNN
Target: CPU - Model: squeezenet
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: googlenet_int8
NCNN
Target: CPU - Model: vgg16_int8
NCNN
Target: CPU - Model: resnet18_int8
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet50_int8
NCNN
Target: CPU - Model: mobilenetv2_yolov3
OpenCV
Test: Features 2D
OpenCV
Test: Object Detection
OpenCV
Test: DNN - Deep Neural Network
OSBench
Test: Memory Allocations
Incompact3D
Input: Cylinder
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Timed LLVM Compilation
Time To Compile
dcraw
RAW To PPM Image Conversion
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
System GZIP Decompression
GPAW
Input: Carbon Nanotube
OSBench
Test: Create Files
OSBench
Test: Create Threads
OSBench
Test: Launch Programs
OSBench
Test: Create Processes
Phoronix Test Suite v10.8.5