Core i7 4790K 202
Intel Core i7-4790K testing with a Gigabyte Z97-HD3P (F4 BIOS) and Gigabyte Intel Haswell Desktop 2GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012207-HA-COREI747935&grt&rdt.
asmFish
1024 Hash Memory, 26 Depth
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
Basis Universal
Settings: ETC1S
Basis Universal
Settings: UASTC Level 0
Basis Universal
Settings: UASTC Level 2
Basis Universal
Settings: UASTC Level 3
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
Betsy GPU Compressor
Codec: ETC1 - Quality: Highest
Betsy GPU Compressor
Codec: ETC2 RGB - Quality: Highest
BRL-CAD
VGR Performance Metric
Build2
Time To Compile
CLOMP
Static OMP Speedup
Coremark
CoreMark Size 666 - Iterations Per Second
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
GROMACS
Water Benchmark
HPC Challenge
Test / Class: G-HPL
HPC Challenge
Test / Class: G-Ffte
HPC Challenge
Test / Class: EP-DGEMM
HPC Challenge
Test / Class: G-Ptrans
HPC Challenge
Test / Class: EP-STREAM Triad
HPC Challenge
Test / Class: G-Random Access
HPC Challenge
Test / Class: Random Ring Latency
HPC Challenge
Test / Class: Random Ring Bandwidth
HPC Challenge
Test / Class: Max Ping Pong Bandwidth
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
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
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Libplacebo
Test: deband_heavy
Libplacebo
Test: polar_nocompute
Libplacebo
Test: hdr_peakdetect
Libplacebo
Test: av1_grain_lap
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
Monkey Audio Encoding
WAV To APE
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
NCNN
Target: Vulkan GPU - Model: mobilenet
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
NCNN
Target: Vulkan GPU - Model: regnety_400m
Node.js V8 Web Tooling Benchmark
Numpy Benchmark
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - 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: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - 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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
PHPBench
PHP Benchmark Suite
rav1e
Speed: 1
rav1e
Speed: 5
rav1e
Speed: 6
rav1e
Speed: 10
Redis
Test: LPOP
Redis
Test: SADD
Redis
Test: LPUSH
Redis
Test: GET
Redis
Test: SET
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: LargeRandom
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
SQLite Speedtest
Timed Time - Size 1,000
Stockfish
Total Time
Sunflow Rendering System
Global Illumination + Image Synthesis
Timed Eigen Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed HMMer Search
Pfam Database Search
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: No
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: Yes
WavPack Audio Encoding
WAV To WavPack
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
yquake2
Renderer: OpenGL 1.x - Resolution: 1920 x 1080
yquake2
Renderer: OpenGL 1.x - Resolution: 2560 x 1440
yquake2
Renderer: OpenGL 1.x - Resolution: 3840 x 2160
yquake2
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
yquake2
Renderer: OpenGL 3.x - Resolution: 2560 x 1440
yquake2
Renderer: OpenGL 3.x - Resolution: 3840 x 2160
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
yquake2
Renderer: Software CPU - Resolution: 2560 x 1440
yquake2
Renderer: Software CPU - Resolution: 3840 x 2160
Phoronix Test Suite v10.8.5