AMD EPYC 7601 Ubuntu 19.04
AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and ASPEED on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009077-FI-AMDEPYC7666&grw.
Tesseract OCR
Time To OCR 7 Images
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
G'MIC
Test: 2D Function Plotting, 1000 Times
G'MIC
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
G'MIC
Test: 3D Elevated Function In Random Colors, 100 Times
Hugin
Panorama Photo Assistant + Stitching Time
RawTherapee
Total Benchmark Time
librsvg
Operation: SVG Files To PNG
OCRMyPDF
Processing 60 Page PDF Document
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU
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
GROMACS
Water Benchmark
NAMD
ATPase Simulation - 327,506 Atoms
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
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
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Timed Linux Kernel Compilation
Time To Compile
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
Phoronix Test Suite v10.8.5