Ubuntu 20.10 Devel
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Fedora 33 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009303-FI-2009309PT78.
Crypto++
Test: Keyed Algorithms
High Performance Conjugate Gradient
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
CP2K Molecular Dynamics
Fayalite-FIST Data
NAMD
ATPase Simulation - 327,506 Atoms
Dolfyn
Computational Fluid Dynamics
Algebraic Multi-Grid Benchmark
FFTE
N=256, 3D Complex FFT Routine
Pennant
Test: sedovbig
Timed HMMer Search
Pfam Database Search
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
BLAKE2
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
Java Gradle Build
Gradle Build: Reactor
DaCapo Benchmark
Java Test: H2
DaCapo Benchmark
Java Test: Jython
DaCapo Benchmark
Java Test: Tradesoap
DaCapo Benchmark
Java Test: Tradebeans
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Crafty
Elapsed Time
Node.js Express HTTP Load Test
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
Intel Open Image Denoise
Scene: Memorial
OpenVKL
Benchmark: vklBenchmark
Coremark
CoreMark Size 666 - Iterations Per Second
Himeno Benchmark
Poisson Pressure Solver
asmFish
1024 Hash Memory, 26 Depth
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
Timed GDB GNU Debugger Compilation
Time To Compile
Timed Linux Kernel Compilation
Time To Compile
Timed LLVM Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
YafaRay
Total Time For Sample Scene
DeepSpeech
Acceleration: CPU
OpenSSL
RSA 4096-bit Performance
libjpeg-turbo tjbench
Test: Decompression Throughput
LevelDB
Benchmark: Hot Read
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Read
LevelDB
Benchmark: Seek Random
LevelDB
Benchmark: Random Delete
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
GROMACS
Water Benchmark
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
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
SQLite Speedtest
Timed Time - Size 1,000
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Rack - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
GEGL
Operation: Crop
GEGL
Operation: Scale
GEGL
Operation: Cartoon
GEGL
Operation: Reflect
GEGL
Operation: Antialias
GEGL
Operation: Tile Glass
GEGL
Operation: Wavelet Blur
GEGL
Operation: Color Enhance
GEGL
Operation: Rotate 90 Degrees
GIMP
Test: resize
GIMP
Test: rotate
GIMP
Test: auto-levels
GIMP
Test: unsharp-mask
RawTherapee
Total Benchmark Time
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
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
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: 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: shufflenet-v2
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU
Facebook RocksDB
Test: Random Fill
Facebook RocksDB
Test: Random Read
Facebook RocksDB
Test: Sequential Fill
Facebook RocksDB
Test: Random Fill Sync
Facebook RocksDB
Test: Read While Writing
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
PyBench
Total For Average Test Times
PyPerformance
Benchmark: go
PyPerformance
Benchmark: 2to3
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: float
PyPerformance
Benchmark: nbody
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: json_loads
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: pickle_pure_python
Hierarchical INTegration
Test: FLOAT
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
AI Benchmark Alpha
Device Inference Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device AI Score
PHPBench
PHP Benchmark Suite
Git
Time To Complete Common Git Commands
Kripke
BRL-CAD
VGR Performance Metric
GIMP
Test: resize
GIMP
Test: rotate
GIMP
Test: auto-levels
GIMP
Test: unsharp-mask
Phoronix Test Suite v10.8.4