epyc extra

2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2311206-NE-EPYCEXTRA54&grs&rdt.

Cpuminer-Opt

Algorithm: Ringcoin

CloverLeaf

Input: clover_bm

OpenRadioss

Model: Rubber O-Ring Seal Installation

DaCapo Benchmark

Java Test: H2O In-Memory Platform For Machine Learning

OpenRadioss

Model: Chrysler Neon 1M

QuantLib

Configuration: Multi-Threaded

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

Cpuminer-Opt

Algorithm: Garlicoin

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

Cpuminer-Opt

Algorithm: Skeincoin

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

Cpuminer-Opt

Algorithm: Magi

Cpuminer-Opt

Algorithm: Blake-2 S

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

Cpuminer-Opt

Algorithm: Deepcoin

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

7-Zip Compression

Test: Decompression Rating

Cpuminer-Opt

Algorithm: scrypt

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

Embree

Binary: Pathtracer ISPC - Model: Crown

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

Embree

Binary: Pathtracer - Model: Crown

Embree

Binary: Pathtracer - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenVINO

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

CloverLeaf

Input: clover_bm64_short

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

DaCapo Benchmark

Java Test: Tradebeans

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

CloverLeaf

Input: clover_bm16

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

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

7-Zip Compression

Test: Compression Rating

OpenRadioss

Model: Bird Strike on Windshield

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

C-Blosc

Test: blosclz noshuffle - Buffer Size: 8MB

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenVINO

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

RabbitMQ

Scenario: Simple 2 Publishers + 4 Consumers

DaCapo Benchmark

Java Test: Spring Boot

C-Blosc

Test: blosclz shuffle - Buffer Size: 8MB

DaCapo Benchmark

Java Test: Zxing 1D/2D Barcode Image Processing

Timed LLVM Compilation

Build System: Ninja

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

DaCapo Benchmark

Java Test: Apache Xalan XSLT

C-Blosc

Test: blosclz bitshuffle - Buffer Size: 8MB

DaCapo Benchmark

Java Test: Apache Tomcat

DaCapo Benchmark

Java Test: Tradesoap

Timed Linux Kernel Compilation

Build: allmodconfig

OpenRadioss

Model: Cell Phone Drop Test

OpenVINO

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

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

RabbitMQ

Scenario: 120 Queues, 400 Producers, 400 Consumers

RabbitMQ

Scenario: 120 Queues, 400 Producers, 400 Consumers

Blender

Blend File: Barbershop - Compute: CPU-Only

C-Blosc

Test: blosclz shuffle - Buffer Size: 16MB

C-Blosc

Test: blosclz noshuffle - Buffer Size: 16MB

Blender

Blend File: Classroom - Compute: CPU-Only

Timed Node.js Compilation

Time To Compile

Blender

Blend File: Fishy Cat - Compute: CPU-Only

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

C-Blosc

Test: blosclz bitshuffle - Buffer Size: 16MB

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

FFmpeg

Encoder: libx265 - Scenario: Live

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

DaCapo Benchmark

Java Test: H2 Database Engine

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

RabbitMQ

Scenario: 10 Queues, 100 Producers, 100 Consumers

Timed FFmpeg Compilation

Time To Compile

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

RabbitMQ

Scenario: 200 Queues, 400 Producers, 400 Consumers

RabbitMQ

Scenario: 200 Queues, 400 Producers, 400 Consumers