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.
yquake2
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
LeelaChessZero
Backend: BLAS
LeelaChessZero
Backend: Eigen
CLOMP
Static OMP Speedup
FFTE
N=256, 3D Complex FFT Routine
Timed HMMer Search
Pfam Database Search
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
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
BYTE Unix Benchmark
Computational Test: Dhrystone 2
LZ4 Compression
Compression Level: 1 - Compression Speed
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
LZ4 Compression
Compression Level: 9 - Decompression Speed
LibRaw
Post-Processing Benchmark
Crafty
Elapsed Time
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - 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
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
rav1e
Speed: 5
rav1e
Speed: 6
rav1e
Speed: 10
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
Coremark
CoreMark Size 666 - Iterations Per Second
Stockfish
Total Time
asmFish
1024 Hash Memory, 26 Depth
Timed FFmpeg Compilation
Time To Compile
Build2
Time To Compile
Numpy Benchmark
Timed Eigen Compilation
Time To Compile
Monkey Audio Encoding
WAV To APE
Opus Codec Encoding
WAV To Opus Encode
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
RNNoise
Node.js V8 Web Tooling Benchmark
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
Apache CouchDB
Bulk Size: 100 - Inserts: 1000 - Rounds: 24
KeyDB
GROMACS
Water Benchmark
Basis Universal
Settings: ETC1S
Basis Universal
Settings: UASTC Level 0
Basis Universal
Settings: UASTC Level 2
SQLite Speedtest
Timed Time - Size 1,000
Redis
Test: GET
Redis
Test: SET
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: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: regnety_400m
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
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
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
Hierarchical INTegration
Test: FLOAT
PHPBench
PHP Benchmark Suite
WavPack Audio Encoding
WAV To WavPack
Mlpack Benchmark
Benchmark: scikit_ica
Mlpack Benchmark
Benchmark: scikit_qda
Mlpack Benchmark
Benchmark: scikit_svm
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Sunflow Rendering System
Global Illumination + Image Synthesis
Phoronix Test Suite v10.8.4