EPYC 7F72
AMD EPYC 7F72 24-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012129-HA-EPYC7F72896&grr.
HPC Challenge
Test / Class: G-HPL
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
High Performance Conjugate Gradient
Timed Clash Compilation
Time To Compile
AI Benchmark Alpha
Device AI Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device Inference Score
Timed LLVM Compilation
Time To Compile
BRL-CAD
VGR Performance Metric
Numpy Benchmark
Hierarchical INTegration
Test: FLOAT
BYTE Unix Benchmark
Computational Test: Dhrystone 2
Mlpack Benchmark
Benchmark: scikit_qda
asmFish
1024 Hash Memory, 26 Depth
Stockfish
Total Time
Timed HMMer Search
Pfam Database Search
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Random Delete
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
LZ4 Compression
Compression Level: 9 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
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
NCNN
Target: CPU - Model: squeezenet
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
KeyDB
GROMACS
Water Benchmark
TensorFlow Lite
Model: Inception V4
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
LevelDB
Benchmark: Seek Random
IndigoBench
Acceleration: CPU - Scene: Bedroom
TensorFlow Lite
Model: Inception ResNet V2
IndigoBench
Acceleration: CPU - Scene: Supercar
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: SqueezeNet
Timed Linux Kernel Compilation
Time To Compile
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Mobilenet Float
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
rav1e
Speed: 5
rav1e
Speed: 1
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Mlpack Benchmark
Benchmark: scikit_ica
Redis
Test: GET
Redis
Test: LPOP
Redis
Test: LPUSH
Redis
Test: SET
Hugin
Panorama Photo Assistant + Stitching Time
Redis
Test: SADD
Basis Universal
Settings: ETC1S
NAMD
ATPase Simulation - 327,506 Atoms
LevelDB
Benchmark: Hot Read
LevelDB
Benchmark: Random Read
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
rav1e
Speed: 6
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 1 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 1 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
PHPBench
PHP Benchmark Suite
LibRaw
Post-Processing Benchmark
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 1 - Compression Speed
rav1e
Speed: 10
Mlpack Benchmark
Benchmark: scikit_svm
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 1 - Mode: Read Only
Basis Universal
Settings: UASTC Level 3
Crafty
Elapsed Time
x265
Video Input: Bosphorus 4K
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: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - 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
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
RNNoise
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
WebP Image Encode
Encode Settings: Quality 100, Lossless
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Basis Universal
Settings: UASTC Level 2
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
x265
Video Input: Bosphorus 1080p
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
Basis Universal
Settings: UASTC Level 0
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
x264
H.264 Video Encoding
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
WebP Image Encode
Encode Settings: Quality 100
FFTE
N=256, 3D Complex FFT Routine
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
WebP Image Encode
Encode Settings: Default
LevelDB
Benchmark: Fill Sync
LevelDB
Benchmark: Fill Sync
HPC Challenge
Test / Class: Max Ping Pong Bandwidth
HPC Challenge
Test / Class: Random Ring Bandwidth
HPC Challenge
Test / Class: Random Ring Latency
HPC Challenge
Test / Class: G-Random Access
HPC Challenge
Test / Class: EP-STREAM Triad
HPC Challenge
Test / Class: G-Ptrans
HPC Challenge
Test / Class: EP-DGEMM
HPC Challenge
Test / Class: G-Ffte
Phoronix Test Suite v10.8.4