eptc-7f32

AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2211213-NE-EPTC7F32616&grs.

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

Mobile Neural Network

Model: mobilenet-v1-1.0

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

Natron

Input: Spaceship

JPEG XL Decoding libjxl

CPU Threads: All

C-Blosc

Test: blosclz bitshuffle

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

Mobile Neural Network

Model: MobileNetV2_224

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

Mobile Neural Network

Model: squeezenetv1.1

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

Stress-NG

Test: CPU Cache

Mobile Neural Network

Model: SqueezeNetV1.0

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenRadioss

Model: Cell Phone Drop Test

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

Cpuminer-Opt

Algorithm: Blake-2 S

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p

Cpuminer-Opt

Algorithm: x25x

Mobile Neural Network

Model: resnet-v2-50

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenVINO

Model: Person Detection FP32 - Device: CPU

Y-Cruncher

Pi Digits To Calculate: 500M

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

Mobile Neural Network

Model: mobilenetV3

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

7-Zip Compression

Test: Compression Rating

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

C-Blosc

Test: blosclz shuffle

Stress-NG

Test: Context Switching

Stress-NG

Test: Forking

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

Stress-NG

Test: Futex

Stress-NG

Test: MEMFD

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

GraphicsMagick

Operation: HWB Color Space

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

libavif avifenc

Encoder Speed: 10, Lossless

JPEG XL libjxl

Input: JPEG - Quality: 80

JPEG XL libjxl

Input: PNG - Quality: 90

Stress-NG

Test: Memory Copying

Stress-NG

Test: CPU Stress

OpenVINO

Model: Person Detection FP16 - Device: CPU

JPEG XL libjxl

Input: PNG - Quality: 80

Xmrig

Variant: Monero - Hash Count: 1M

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p

Cpuminer-Opt

Algorithm: Ringcoin

Y-Cruncher

Pi Digits To Calculate: 1B

JPEG XL libjxl

Input: JPEG - Quality: 90

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

SMHasher

Hash: t1ha0_aes_avx2 x86_64

Facebook RocksDB

Test: Read While Writing

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p

Cpuminer-Opt

Algorithm: Magi

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

spaCy

Model: en_core_web_trf

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p

Stress-NG

Test: Glibc C String Functions

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

Facebook RocksDB

Test: Random Read

Stress-NG

Test: MMAP

GraphicsMagick

Operation: Resizing

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p

Stress-NG

Test: IO_uring

Xmrig

Variant: Wownero - Hash Count: 1M

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

JPEG XL libjxl

Input: PNG - Quality: 100

FFmpeg

Encoder: libx264 - Scenario: Live

FFmpeg

Encoder: libx264 - Scenario: Live

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

EnCodec

Target Bandwidth: 1.5 kbps

libavif avifenc

Encoder Speed: 6, Lossless

Timed Erlang/OTP Compilation

Time To Compile

nginx

Connections: 1000

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

GraphicsMagick

Operation: Rotate

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

Scikit-Learn

Benchmark: TSNE MNIST Dataset

EnCodec

Target Bandwidth: 6 kbps

libavif avifenc

Encoder Speed: 6

Cpuminer-Opt

Algorithm: Garlicoin

Stress-NG

Test: Matrix Math

WebP2 Image Encode

Encode Settings: Default

EnCodec

Target Bandwidth: 3 kbps

Stress-NG

Test: Socket Activity

JPEG XL Decoding libjxl

CPU Threads: 1

OpenRadioss

Model: Bird Strike on Windshield

Stress-NG

Test: Mutex

FFmpeg

Encoder: libx265 - Scenario: Live

nginx

Connections: 500

Stress-NG

Test: Glibc Qsort Data Sorting

FFmpeg

Encoder: libx265 - Scenario: Live

Unpacking The Linux Kernel

linux-5.19.tar.xz

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

libavif avifenc

Encoder Speed: 0

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

spaCy

Model: en_core_web_lg

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenRadioss

Model: Rubber O-Ring Seal Installation

GraphicsMagick

Operation: Sharpen