7900X New
Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA GeForce GT 610 1GB on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010024-FI-7900XNEW720&rdt&grs.
Algebraic Multi-Grid Benchmark
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
Java Gradle Build
Gradle Build: Reactor
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
NCNN
Target: CPU - Model: googlenet
Rodinia
Test: OpenMP HotSpot3D
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
NeatBench
Acceleration: CPU
NCNN
Target: CPU - Model: blazeface
Renaissance
Test: Savina Reactors.IO
Rodinia
Test: OpenMP Streamcluster
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
Renaissance
Test: Genetic Algorithm Using Jenetics + Futures
Renaissance
Test: Random Forest
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
DaCapo Benchmark
Java Test: Tradesoap
LULESH
Renaissance
Test: In-Memory Database Shootout
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
DaCapo Benchmark
Java Test: Tradebeans
NCNN
Target: CPU - Model: mobilenet
Renaissance
Test: Apache Spark PageRank
OCRMyPDF
Processing 60 Page PDF Document
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
YafaRay
Total Time For Sample Scene
NCNN
Target: CPU - Model: mnasnet
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
Renaissance
Test: Scala Dotty
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: yolov4-tiny
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
PyPerformance
Benchmark: nbody
DaCapo Benchmark
Java Test: Jython
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
LuxCoreRender
Scene: DLSC
RNNoise
NCNN
Target: CPU - Model: squeezenet
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
NCNN
Target: CPU - Model: resnet18
Renaissance
Test: Twitter HTTP Requests
Embree
Binary: Pathtracer - Model: Crown
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
G'MIC
Test: 2D Function Plotting, 1000 Times
Mobile Neural Network
Model: MobileNetV2_224
Timed Linux Kernel Compilation
Time To Compile
PyPerformance
Benchmark: 2to3
DaCapo Benchmark
Java Test: H2
PyPerformance
Benchmark: json_loads
NCNN
Target: CPU - Model: resnet50
PyPerformance
Benchmark: chaos
Embree
Binary: Pathtracer - Model: Asian Dragon
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
OpenVKL
Benchmark: vklBenchmarkStructuredVolume
NCNN
Target: CPU - Model: vgg16
libavif avifenc
Encoder Speed: 10
WebP Image Encode
Encode Settings: Default
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
Renaissance
Test: Apache Spark ALS
Embree
Binary: Pathtracer ISPC - Model: Crown
NCNN
Target: CPU - Model: shufflenet-v2
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
KeyDB
WebP Image Encode
Encode Settings: Quality 100
Intel Open Image Denoise
Scene: Memorial
BRL-CAD
VGR Performance Metric
Hugin
Panorama Photo Assistant + Stitching Time
NCNN
Target: CPU - Model: alexnet
Rodinia
Test: OpenMP LavaMD
C-Blosc
Compressor: blosclz
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
libavif avifenc
Encoder Speed: 2
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
libavif avifenc
Encoder Speed: 8
PyPerformance
Benchmark: pickle_pure_python
Zstd Compression
Compression Level: 19
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
Mobile Neural Network
Model: SqueezeNetV1.0
G'MIC
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
Timed LLVM Compilation
Time To Compile
libavif avifenc
Encoder Speed: 0
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Basis Universal
Settings: ETC1S
Zstd Compression
Compression Level: 3
Rodinia
Test: OpenMP CFD Solver
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Mlpack Benchmark
Benchmark: scikit_ica
Mobile Neural Network
Model: inception-v3
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
LuxCoreRender
Scene: Rainbow Colors and Prism
oneDNN
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
dav1d
Video Input: Summer Nature 4K
PyPerformance
Benchmark: float
AOM AV1
Encoder Mode: Speed 8 Realtime
Hierarchical INTegration
Test: FLOAT
Mlpack Benchmark
Benchmark: scikit_qda
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 4 Two-Pass
TensorFlow Lite
Model: Mobilenet Float
LibRaw
Post-Processing Benchmark
TensorFlow Lite
Model: Inception ResNet V2
Timed Apache Compilation
Time To Compile
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
NAMD
ATPase Simulation - 327,506 Atoms
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
dav1d
Video Input: Summer Nature 1080p
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
OpenVKL
Benchmark: vklBenchmark
Basis Universal
Settings: UASTC Level 0
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
PyPerformance
Benchmark: crypto_pyaes
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
AOM AV1
Encoder Mode: Speed 6 Two-Pass
Rodinia
Test: OpenMP Leukocyte
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Timed HMMer Search
Pfam Database Search
Mobile Neural Network
Model: resnet-v2-50
RawTherapee
Total Benchmark Time
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Blender
Blend File: BMW27 - Compute: CPU-Only
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
Tesseract OCR
Time To OCR 7 Images
AOM AV1
Encoder Mode: Speed 6 Realtime
dav1d
Video Input: Chimera 1080p
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
GPAW
Input: Carbon Nanotube
PyPerformance
Benchmark: django_template
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
TensorFlow Lite
Model: Inception V4
WebP Image Encode
Encode Settings: Quality 100, Lossless
TNN
Target: CPU - Model: MobileNet v2
Mobile Neural Network
Model: mobilenet-v1-1.0
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 1000
G'MIC
Test: 3D Elevated Function In Random Colors, 100 Times
TensorFlow Lite
Model: NASNet Mobile
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Mlpack Benchmark
Benchmark: scikit_svm
GNU Octave Benchmark
Basis Universal
Settings: UASTC Level 2
Git
Time To Complete Common Git Commands
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Basis Universal
Settings: UASTC Level 3
TensorFlow Lite
Model: Mobilenet Quant
dav1d
Video Input: Chimera 1080p 10-bit
oneDNN
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
Blender
Blend File: Barbershop - Compute: CPU-Only
TensorFlow Lite
Model: SqueezeNet
TNN
Target: CPU - Model: SqueezeNet v1.1
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
Kripke
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: go
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
AOM AV1
Encoder Mode: Speed 0 Two-Pass
OpenCV
Test: DNN - Deep Neural Network
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
Renaissance
Test: Akka Unbalanced Cobwebbed Tree
Renaissance
Test: Apache Spark Bayes
Phoronix Test Suite v10.8.4