AMD EPYC 7F52
AMD EPYC 7F52 16-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012307-HA-AMDEPYC7F13&grr.
PlaidML
FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU
Polyhedron Fortran Benchmarks
Benchmark: tfft2
OpenVKL
Benchmark: vklBenchmarkUnstructuredVolume
Numenta Anomaly Benchmark
Detector: EXPoSE
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: SqueezeNetV1.0
BRL-CAD
VGR Performance Metric
Timed Clash Compilation
Time To Compile
Polyhedron Fortran Benchmarks
Benchmark: gas_dyn2
Open Porous Media
OPM Benchmark: Flow MPI Norne - Threads: 1
AI Benchmark Alpha
Device AI Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device Inference Score
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Blender
Blend File: Barbershop - Compute: CPU-Only
Open Porous Media
OPM Benchmark: Flow MPI Norne - Threads: 16
OpenVKL
Benchmark: vklBenchmark
Polyhedron Fortran Benchmarks
Benchmark: test_fpu2
WireGuard + Linux Networking Stack Stress Test
ECP-CANDLE
Benchmark: P3B2
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Polyhedron Fortran Benchmarks
Benchmark: channel2
Numpy Benchmark
Hierarchical INTegration
Test: FLOAT
Tachyon
Total Time
Blender
Blend File: Classroom - Compute: CPU-Only
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: mobilenet
Open Porous Media
OPM Benchmark: Flow MPI Norne - Threads: 2
Open Porous Media
OPM Benchmark: Flow MPI Norne - Threads: 8
ECP-CANDLE
Benchmark: P3B1
Polyhedron Fortran Benchmarks
Benchmark: mp_prop_design
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
GraphicsMagick
Operation: Rotate
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
Polyhedron Fortran Benchmarks
Benchmark: fatigue2
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
Open Porous Media
OPM Benchmark: Flow MPI Norne - Threads: 4
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
asmFish
1024 Hash Memory, 26 Depth
Hugin
Panorama Photo Assistant + Stitching Time
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Stress-NG
Test: CPU Cache
YafaRay
Total Time For Sample Scene
dav1d
Video Input: Chimera 1080p 10-bit
Timed HMMer Search
Pfam Database Search
GPAW
Input: Carbon Nanotube
ASTC Encoder
Preset: Exhaustive
Blender
Blend File: Fishy Cat - Compute: CPU-Only
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
Timed GDB GNU Debugger Compilation
Time To Compile
Polyhedron Fortran Benchmarks
Benchmark: capacita
Node.js V8 Web Tooling Benchmark
Numenta Anomaly Benchmark
Detector: Earthgecko Skyline
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Mlpack Benchmark
Benchmark: scikit_qda
VP9 libvpx Encoding
Speed: Speed 0
Blender
Blend File: BMW27 - Compute: CPU-Only
Timed Eigen Compilation
Time To Compile
PyPerformance
Benchmark: raytrace
Polyhedron Fortran Benchmarks
Benchmark: induct2
GROMACS
Water Benchmark
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
TensorFlow Lite
Model: Inception V4
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
Build2
Time To Compile
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
PyPerformance
Benchmark: python_startup
simdjson
Throughput Test: Kostya
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
KeyDB
TensorFlow Lite
Model: Inception ResNet V2
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP16 - Device: CPU
SQLite Speedtest
Timed Time - Size 1,000
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Face Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVINO
Model: Person Detection 0106 FP32 - Device: CPU
OpenVKL
Benchmark: vklBenchmarkVdbVolume
Chaos Group V-RAY
Mode: CPU
Polyhedron Fortran Benchmarks
Benchmark: rnflow
LuxCoreRender
Scene: Rainbow Colors and Prism
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
LuxCoreRender
Scene: DLSC
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: Mobilenet Quant
PyPerformance
Benchmark: 2to3
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
John The Ripper
Test: MD5
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: HWB Color Space
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
LZ4 Compression
Compression Level: 9 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
OpenVKL
Benchmark: vklBenchmarkStructuredVolume
simdjson
Throughput Test: LargeRandom
Mlpack Benchmark
Benchmark: scikit_ica
NAMD
ATPase Simulation - 327,506 Atoms
rav1e
Speed: 5
rav1e
Speed: 1
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
DeepSpeech
Acceleration: CPU
Timed Linux Kernel Compilation
Time To Compile
Polyhedron Fortran Benchmarks
Benchmark: protein
PyPerformance
Benchmark: go
Zstd Compression
Compression Level: 19
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Stockfish
Total Time
CLOMP
Static OMP Speedup
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Sunflow Rendering System
Global Illumination + Image Synthesis
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
rav1e
Speed: 6
PyPerformance
Benchmark: django_template
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU
PyPerformance
Benchmark: regex_compile
7-Zip Compression
Compress Speed Test
Timed FFmpeg Compilation
Time To Compile
AOM AV1
Encoder Mode: Speed 0 Two-Pass
Embree
Binary: Pathtracer ISPC - Model: Crown
Redis
Test: SET
Redis
Test: GET
PHPBench
PHP Benchmark Suite
LibRaw
Post-Processing Benchmark
AOM AV1
Encoder Mode: Speed 6 Realtime
Embree
Binary: Pathtracer - Model: Crown
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 1 - Compression Speed
Stress-NG
Test: CPU Stress
John The Ripper
Test: Blowfish
Aircrack-ng
Stress-NG
Test: NUMA
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Malloc
Stress-NG
Test: SENDFILE
Stress-NG
Test: Crypto
Stress-NG
Test: Matrix Math
Stress-NG
Test: MEMFD
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Context Switching
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Socket Activity
Stress-NG
Test: Memory Copying
Stress-NG
Test: Vector Math
Stress-NG
Test: Semaphores
Stress-NG
Test: Forking
Stress-NG
Test: Atomic
Stress-NG
Test: MMAP
PyPerformance
Benchmark: pathlib
Zstd Compression
Compression Level: 3
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
AOM AV1
Encoder Mode: Speed 6 Two-Pass
Embree
Binary: Pathtracer - Model: Asian Dragon
Polyhedron Fortran Benchmarks
Benchmark: aermod
PyPerformance
Benchmark: pickle_pure_python
x265
Video Input: Bosphorus 4K
rav1e
Speed: 10
Numenta Anomaly Benchmark
Detector: Bayesian Changepoint
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Unpacking Firefox
Extracting: firefox-84.0.source.tar.xz
Mlpack Benchmark
Benchmark: scikit_svm
VP9 libvpx Encoding
Speed: Speed 5
Crafty
Elapsed Time
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Write
Polyhedron Fortran Benchmarks
Benchmark: doduc
librsvg
Operation: SVG Files To PNG
PyPerformance
Benchmark: json_loads
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
PyPerformance
Benchmark: chaos
WavPack Audio Encoding
WAV To WavPack
PyPerformance
Benchmark: float
Timed Apache Compilation
Time To Compile
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
Coremark
CoreMark Size 666 - Iterations Per Second
PyPerformance
Benchmark: nbody
Polyhedron Fortran Benchmarks
Benchmark: ac
PyPerformance
Benchmark: crypto_pyaes
XZ Compression
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
Polyhedron Fortran Benchmarks
Benchmark: linpk
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Monkey Audio Encoding
WAV To APE
AOM AV1
Encoder Mode: Speed 4 Two-Pass
Ogg Audio Encoding
WAV To Ogg
Timed MPlayer Compilation
Time To Compile
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
RNNoise
OpenSSL
RSA 4096-bit Performance
OCRMyPDF
Processing 60 Page PDF Document
dav1d
Video Input: Chimera 1080p
TNN
Target: CPU - Model: MobileNet v2
ASTC Encoder
Preset: Thorough
TNN
Target: CPU - Model: SqueezeNet v1.1
AOM AV1
Encoder Mode: Speed 8 Realtime
WebP Image Encode
Encode Settings: Quality 100, Lossless
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
Redis
Test: LPUSH
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
dav1d
Video Input: Summer Nature 4K
Polyhedron Fortran Benchmarks
Benchmark: mdbx
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Numenta Anomaly Benchmark
Detector: Relative Entropy
FLAC Audio Encoding
WAV To FLAC
Intel Open Image Denoise
Scene: Memorial
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Opus Codec Encoding
WAV To Opus Encode
Redis
Test: SADD
ECP-CANDLE
Benchmark: P1B2
GNU Octave Benchmark
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
LibreOffice
Test: 20 Documents To PDF
Polyhedron Fortran Benchmarks
Benchmark: air
Redis
Test: LPOP
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
x265
Video Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
LAME MP3 Encoding
WAV To MP3
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Numenta Anomaly Benchmark
Detector: Windowed Gaussian
ASTC Encoder
Preset: Medium
dav1d
Video Input: Summer Nature 1080p
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ASTC Encoder
Preset: Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
x264
H.264 Video Encoding
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
WebP Image Encode
Encode Settings: Quality 100
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
FFTE
N=256, 3D Complex FFT Routine
WebP Image Encode
Encode Settings: Default
Phoronix Test Suite v10.8.4