Core i7 3770K 2020
Intel Core i7-3770K testing with a ECS Z77H2-A2X v1.0 (4.6.5 BIOS) and ECS Intel HD 4000 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012266-HA-COREI737770&grs.
Stockfish
Total Time
BYTE Unix Benchmark
Computational Test: Dhrystone 2
LeelaChessZero
Backend: BLAS
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
LeelaChessZero
Backend: Eigen
OpenVINO
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
asmFish
1024 Hash Memory, 26 Depth
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: regnety_400m
Mlpack Benchmark
Benchmark: scikit_ica
IndigoBench
Acceleration: CPU - Scene: Supercar
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: mnasnet
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
SQLite Speedtest
Timed Time - Size 1,000
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
x265
Video Input: Bosphorus 1080p
NCNN
Target: CPU - Model: alexnet
Numpy Benchmark
RNNoise
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
WavPack Audio Encoding
WAV To WavPack
Build2
Time To Compile
Node.js V8 Web Tooling Benchmark
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
Basis Universal
Settings: ETC1S
KeyDB
WebP Image Encode
Encode Settings: Default
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
TNN
Target: CPU - Model: SqueezeNet v1.1
GROMACS
Water Benchmark
NCNN
Target: CPU - Model: mobilenet
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
rav1e
Speed: 10
Basis Universal
Settings: UASTC Level 0
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
Crafty
Elapsed Time
LZ4 Compression
Compression Level: 3 - Compression Speed
PHPBench
PHP Benchmark Suite
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
IndigoBench
Acceleration: CPU - Scene: Bedroom
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
NCNN
Target: CPU - Model: efficientnet-b0
Timed FFmpeg Compilation
Time To Compile
TNN
Target: CPU - Model: MobileNet v2
WebP Image Encode
Encode Settings: Quality 100, Lossless
NCNN
Target: CPU - Model: blazeface
Sunflow Rendering System
Global Illumination + Image Synthesis
LibRaw
Post-Processing Benchmark
Coremark
CoreMark Size 666 - Iterations Per Second
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
yquake2
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
LZ4 Compression
Compression Level: 9 - Compression Speed
x265
Video Input: Bosphorus 4K
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
WebP Image Encode
Encode Settings: Quality 100
Mlpack Benchmark
Benchmark: scikit_svm
Timed Eigen Compilation
Time To Compile
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
rav1e
Speed: 5
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: resnet50
LZ4 Compression
Compression Level: 1 - Decompression Speed
rav1e
Speed: 6
FFTE
N=256, 3D Complex FFT Routine
Opus Codec Encoding
WAV To Opus Encode
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
LZ4 Compression
Compression Level: 9 - Decompression Speed
Monkey Audio Encoding
WAV To APE
NCNN
Target: CPU - Model: squeezenet_ssd
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Basis Universal
Settings: UASTC Level 2
Timed HMMer Search
Pfam Database Search
Hierarchical INTegration
Test: FLOAT
LZ4 Compression
Compression Level: 1 - Compression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: Kostya
CLOMP
Static OMP Speedup
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Mlpack Benchmark
Benchmark: scikit_qda
Redis
Test: SET
Redis
Test: GET
Phoronix Test Suite v10.8.4