AMD EPYC 7601 2P Ubuntu 19.10
2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and llvmpipe on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009221-FI-AMDEPYC7632&grs&rdt.
Timed LLVM Compilation
Time To Compile
TensorFlow Lite
Model: NASNet Mobile
perf-bench
Benchmark: Sched Pipe
AOM AV1
Encoder Mode: Speed 6 Realtime
GROMACS
Water Benchmark
TensorFlow Lite
Model: Inception ResNet V2
perf-bench
Benchmark: Epoll Wait
perf-bench
Benchmark: Syscall Basic
GPAW
Input: Carbon Nanotube
AOM AV1
Encoder Mode: Speed 0 Two-Pass
TensorFlow Lite
Model: Inception V4
AOM AV1
Encoder Mode: Speed 4 Two-Pass
Mobile Neural Network
Model: SqueezeNetV1.0
Incompact3D
Input: Cylinder
perf-bench
Benchmark: Futex Lock-Pi
AOM AV1
Encoder Mode: Speed 8 Realtime
Blender
Blend File: Barbershop - Compute: CPU-Only
AOM AV1
Encoder Mode: Speed 6 Two-Pass
ASTC Encoder
Preset: Thorough
Zstd Compression
Compression Level: 3
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Mobile Neural Network
Model: inception-v3
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
NAMD
ATPase Simulation - 327,506 Atoms
ASTC Encoder
Preset: Medium
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: resnet-v2-50
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Blender
Blend File: Classroom - Compute: CPU-Only
System GZIP Decompression
perf-bench
Benchmark: Futex Hash
Blender
Blend File: Fishy Cat - Compute: CPU-Only
ASTC Encoder
Preset: Fast
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
ASTC Encoder
Preset: Exhaustive
Blender
Blend File: BMW27 - Compute: CPU-Only
Kripke
NCNN
Target: CPU - Model: mobilenetv2_yolov3
NCNN
Target: CPU - Model: resnet50_int8
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18_int8
NCNN
Target: CPU - Model: vgg16_int8
NCNN
Target: CPU - Model: googlenet_int8
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: squeezenet
NCNN
Target: CPU - Model: mobilenet_v3
NCNN
Target: CPU - Model: squeezenet_int8
Mobile Neural Network
Model: MobileNetV2_224
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: SqueezeNet
perf-bench
Benchmark: Memset 1MB
perf-bench
Benchmark: Memcpy 1MB
Zstd Compression
Compression Level: 19
Phoronix Test Suite v10.8.4