Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark daphne.

Project Site

github.com

Source Repository

github.com

Test Created

23 June 2020

Last Updated

17 March 2023

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

2 Minutes, 44 Seconds

Average Run Time

6 Minutes, 58 Seconds

Test Dependencies

C/C++ Compiler Toolchain + OpenCL

Accolades

30k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsDarmstadt Automotive Parallel Heterogeneous Suite Popularity Statisticspts/daphne2020.062020.082020.102020.122021.022021.042021.062021.082021.102021.122022.022022.042022.062022.082022.102022.122023.022023.042023.062023.082023.102023.122024.022024.042024.062024.082024.102024.1216003200480064008000
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
*** Test profile page view reporting began March 2021.
Data updated weekly as of 3 December 2024.
Points2Image32.4%NDT Mapping35.8%Euclidean Cluster31.8%Kernel Option PopularityOpenBenchmarking.org

Revision History

pts/daphne-1.1.0   [View Source]   Fri, 17 Mar 2023 12:51:45 GMT
Update against latest upstream, update download links.

pts/daphne-1.0.0   [View Source]   Tue, 23 Jun 2020 17:08:20 GMT
Initial commit of DAPHNE - Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite

Suites Using This Test

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.org metrics for this test profile configuration based on 160 public results since 17 March 2023 with the latest data as of 25 September 2024.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component
Percentile Rank
# Compatible Public Results
Test Cases Per Minute (Average)
91st
7
2200 +/- 108
91st
6
2195 +/- 98
Mid-Tier
75th
< 1637
73rd
3
1561 +/- 5
69th
8
1492 +/- 167
66th
3
1440 +/- 2
57th
3
1302 +/- 1
54th
3
1287 +/- 15
Median
50th
1224
46th
4
1141 +/- 7
35th
3
1011 +/- 17
34th
3
1005 +/- 4
33rd
3
996 +/- 30
31st
3
981 +/- 2
28th
4
942 +/- 4
Low-Tier
25th
< 932
25th
3
927 +/- 27
23rd
3
921 +/- 12
11th
3
827 +/- 55
6th
3
709 +/- 17
OpenBenchmarking.orgDistribution Of Public Results - Backend: OpenMP - Kernel: Euclidean Cluster160 Results Range From 454 To 2316 Test Cases Per Minute454497540583626669712755798841884927970101310561099114211851228127113141357140014431486152915721615165817011744178718301873191619592002204520882131217422172260230323463691215

Based on OpenBenchmarking.org data, the selected test / test configuration (Darmstadt Automotive Parallel Heterogeneous Suite 2021.11.02 - Backend: OpenMP - Kernel: Euclidean Cluster) has an average run-time of 2 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkBackend: OpenMP - Kernel: Euclidean ClusterRun-Time246810Min: 1 / Avg: 1.07 / Max: 2

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsBackend: OpenMP - Kernel: Euclidean ClusterDeviation246810Min: 0 / Avg: 0.07 / Max: 2

Notable Instruction Set Usage

Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.

Instruction Set
Support
Instructions Detected
SSE2 (SSE2)
Used by default on supported hardware.
 
MOVDQU PUNPCKLQDQ CVTSI2SD DIVSD ADDSD COMISD CVTSS2SD MOVAPD MOVDQA MOVUPD MOVD
Requires passing a supported compiler/build flag (verified with targets: sandybridge, skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).

 
VZEROUPPER VEXTRACTF128 VINSERTF128
Requires passing a supported compiler/build flag (verified with targets: tigerlake, cascadelake, sapphirerapids).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).

 
VPBROADCASTQ
Advanced Vector Extensions 512 (AVX512)
Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).
 
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 18 March 2023

This test profile binary relies on the shared libraries libOpenCL.so.1, libc.so.6, libm.so.6.

Tested CPU Architectures

This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
aarch64
Apple M2