Core i3 7100 September
Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009230-FI-COREI371045.
GLmark2
Resolution: 1920 x 1080
OSBench
Test: Create Files
OSBench
Test: Create Threads
OSBench
Test: Launch Programs
OSBench
Test: Create Processes
OSBench
Test: Memory Allocations
NAMD
ATPase Simulation - 327,506 Atoms
Incompact3D
Input: Cylinder
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
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
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
LibRaw
Post-Processing Benchmark
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
dcraw
RAW To PPM Image Conversion
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
System GZIP Decompression
System ZLIB Decompression
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
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
Phoronix Test Suite v10.8.4