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&grt.
AI Benchmark Alpha
Device Inference Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device AI Score
AOM AV1
Encoder Mode: Speed 0 Two-Pass
AOM AV1
Encoder Mode: Speed 4 Two-Pass
AOM AV1
Encoder Mode: Speed 6 Realtime
AOM AV1
Encoder Mode: Speed 6 Two-Pass
AOM AV1
Encoder Mode: Speed 8 Realtime
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 1000
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
Dolfyn
Computational Fluid Dynamics
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
GROMACS
Water Benchmark
InfluxDB
Concurrent Streams: 4 - 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: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
Kripke
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
LibRaw
Post-Processing Benchmark
Mlpack Benchmark
Benchmark: scikit_ica
Mlpack Benchmark
Benchmark: scikit_qda
Mlpack Benchmark
Benchmark: scikit_svm
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
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
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
NAMD
ATPase Simulation - 327,506 Atoms
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: shufflenet-v2
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
OpenCV
Test: DNN - Deep Neural Network
perf-bench
Benchmark: Epoll Wait
perf-bench
Benchmark: Futex Hash
perf-bench
Benchmark: Memcpy 1MB
perf-bench
Benchmark: Memset 1MB
perf-bench
Benchmark: Sched Pipe
perf-bench
Benchmark: Futex Lock-Pi
perf-bench
Benchmark: Syscall Basic
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency
System GZIP Decompression
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
Timed LLVM Compilation
Time To Compile
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
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
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Phoronix Test Suite v10.8.5