Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks

AMD EPYC 8534P 64-Core testing of various heatsinks/coolers.

HTML result view exported from: https://openbenchmarking.org/result/2311164-NE-HSF59996100&grw&sor.

DaCapo Benchmark

Java Test: Eclipse

DaCapo Benchmark

Java Test: Avrora AVR Simulation Framework

DaCapo Benchmark

Java Test: Batik SVG Toolkit

DaCapo Benchmark

Java Test: FOP Print Formatter

DaCapo Benchmark

Java Test: PMD Source Code Analyzer

DaCapo Benchmark

Java Test: Apache Tomcat

DaCapo Benchmark

Java Test: Apache Xalan XSLT

DaCapo Benchmark

Java Test: Apache Lucene Search Index

DaCapo Benchmark

Java Test: Apache Lucene Search Engine

DaCapo Benchmark

Java Test: H2 Database Engine

DaCapo Benchmark

Java Test: Jython

DaCapo Benchmark

Java Test: Tradebeans

DaCapo Benchmark

Java Test: Tradesoap

DaCapo Benchmark

Java Test: BioJava Biological Data Framework

DaCapo Benchmark

Java Test: Apache Cassandra

DaCapo Benchmark

Java Test: GraphChi

DaCapo Benchmark

Java Test: H2O In-Memory Platform For Machine Learning

DaCapo Benchmark

Java Test: jMonkeyEngine

DaCapo Benchmark

Java Test: Apache Kafka

DaCapo Benchmark

Java Test: Spring Boot

DaCapo Benchmark

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

QuantLib

Configuration: Single-Threaded

QuantLib

Configuration: Multi-Threaded

CloverLeaf

Input: clover_bm

CloverLeaf

Input: clover_bm64_short

CloverLeaf

Input: clover_bm16

oneDNN

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

oneDNN

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

oneDNN

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

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

QMCPACK

Input: simple-H2O

QMCPACK

Input: Li2_STO_ae

QMCPACK

Input: FeCO6_b3lyp_gms

QMCPACK

Input: O_ae_pyscf_UHF

QMCPACK

Input: LiH_ae_MSD

QMCPACK

Input: H4_ae

Coremark

CoreMark Size 666 - Iterations Per Second

7-Zip Compression

Test: Compression Rating

7-Zip Compression

Test: Decompression Rating

Timed LLVM Compilation

Build System: Ninja

Timed LLVM Compilation

Build System: Unix Makefiles

Cpuminer-Opt

Algorithm: scrypt

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

Cpuminer-Opt

Algorithm: Myriad-Groestl

Cpuminer-Opt

Algorithm: Magi

Cpuminer-Opt

Algorithm: Blake-2 S

Cpuminer-Opt

Algorithm: Garlicoin

Cpuminer-Opt

Algorithm: Ringcoin

Cpuminer-Opt

Algorithm: Deepcoin

Cpuminer-Opt

Algorithm: Skeincoin

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

Timed Linux Kernel Compilation

Build: defconfig

Timed Linux Kernel Compilation

Build: allmodconfig

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: Pabellon Barcelona - Compute: CPU-Only

Blender

Blend File: Barbershop - Compute: CPU-Only

Timed Godot Game Engine Compilation

Time To Compile

Embree

Binary: Pathtracer - Model: Asian Dragon

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

Embree

Binary: Pathtracer - Model: Crown

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

Embree

Binary: Pathtracer ISPC - Model: Crown

Intel Open Image Denoise

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

Intel Open Image Denoise

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

TiDB Community Server

Test: oltp_update_non_index - Threads: 128

TiDB Community Server

Test: oltp_read_write - Threads: 128

TiDB Community Server

Test: oltp_point_select - Threads: 128

Intel Open Image Denoise

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