WRF
WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility."
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark wrf.
Project Site
mmm.ucar.eduSource Repository
github.comTest Created
27 April 2021Last Updated
31 August 2021Test Maintainer
Michael LarabelTest Type
SystemAverage Install Time
6 Minutes, 18 SecondsAverage Run Time
3 Hours, 28 Minutes, 45 SecondsTest Dependencies
C/C++ Compiler Toolchain + CSH + OpenMPI + Fortran + BLAS (Basic Linear Algebra Sub-Routine) + LAPACK (Linear Algebra Pack) + Linear Algebra Pack + Tool Command Language + HDF5 + PNG LibraryAccolades
10k+ DownloadsSupported Platforms
** 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.
Data updated weekly as of 4 October 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:WRF 4.2.2
Input: conus 2.5km
OpenBenchmarking.org metrics for this test profile configuration based on 644 public results since 27 April 2021 with the latest data as of 3 October 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.
Based on OpenBenchmarking.org data, the selected test / test configuration (WRF 4.2.2 - Input: conus 2.5km) has an average run-time of 3 hours, 13 minutes. By default this test profile is set to run at least 1 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.
Does It Scale Well With Increasing Cores?
No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.
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.
Recent Test Results
Compare
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1 System - 336 Benchmark Results |
AmpereOne - Supermicro ARS-211M-NR R13SPD v1.02 - Ampere Computing LLC Device e208 Ubuntu 24.04 - 6.8.0-39-generic-64k - GCC 13.2.0 |
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1 System - 1 Benchmark Result |
2 x Intel Xeon 6740E - Quanta Cloud QuantaGrid D55Q-2U S7Q-MB-MPS-MDP - Intel Ice Lake IEH CentOS Stream 9 - 6.6.0-srf.bkc.6.6.22.2.21.x86_64 - GCC 11.5.0 20240719 |
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4 Systems - 2 Benchmark Results |
AMD Ryzen 9 9950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8 Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0 |
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2 Systems - 1 Benchmark Result |
2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce Ubuntu 22.04 - 5.15.0-107-generic - 1.3.255 |
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22 Systems - 263 Benchmark Results |
AMD EPYC 9654 96-Core - AMD Titanite_4G - AMD Device 14a4 Ubuntu 24.04 - 6.9.0-060900rc3-generic - GCC 13.2.0 |