epyc-7742-2p-september
2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1006G BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009278-FI-EPYC7742230&grs.
perf-bench
Benchmark: Epoll Wait
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
perf-bench
Benchmark: Memcpy 1MB
AOM AV1
Encoder Mode: Speed 4 Two-Pass
AOM AV1
Encoder Mode: Speed 6 Two-Pass
perf-bench
Benchmark: Memset 1MB
Zstd Compression
Compression Level: 19
perf-bench
Benchmark: Sched Pipe
NAMD
ATPase Simulation - 327,506 Atoms
AOM AV1
Encoder Mode: Speed 6 Realtime
perf-bench
Benchmark: Syscall Basic
perf-bench
Benchmark: Futex Hash
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Mlpack Benchmark
Benchmark: scikit_svm
Mlpack Benchmark
Benchmark: scikit_qda
Mlpack Benchmark
Benchmark: scikit_ica
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 1000
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
Dolfyn
Computational Fluid Dynamics
InfluxDB
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
InfluxDB
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
AI Benchmark Alpha
Device AI Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device Inference Score
TNN
Target: CPU - Model: SqueezeNet v1.1
TNN
Target: CPU - Model: MobileNet v2
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: resnet-v2-50
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Only
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 Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
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: 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
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Inception V4
GROMACS
Water Benchmark
System GZIP Decompression
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
Timed LLVM Compilation
Time To Compile
AOM AV1
Encoder Mode: Speed 8 Realtime
AOM AV1
Encoder Mode: Speed 0 Two-Pass
LibRaw
Post-Processing Benchmark
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Default
perf-bench
Benchmark: Futex Lock-Pi
OpenCV
Test: DNN - Deep Neural Network
Kripke
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: 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
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - 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
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: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
TensorFlow Lite
Model: Inception ResNet V2
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: SqueezeNet
Zstd Compression
Compression Level: 3
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
Phoronix Test Suite v10.8.4