RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library.

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

Project Site

github.com

Test Created

30 September 2020

Test Maintainer

Michael Larabel 

Test Type

Processor

Average Install Time

19 Seconds

Average Run Time

1 Minute, 11 Seconds

Test Dependencies

C/C++ Compiler Toolchain + Libtool

Accolades

5k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsRNNoise Popularity Statisticspts/rnnoise2020.092020.102020.112020.122021.012021.022021.032021.042021.052021.062021.072021.082021.092021.102021.112021.122022.012022.022022.032022.042022.052022.062022.072022.082022.092022.107001400210028003500
* 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 current as of 1 October 2022.

Revision History

pts/rnnoise-1.0.2   [View Source]   Wed, 30 Sep 2020 17:15:00 GMT
Add libtool external dependency.

pts/rnnoise-1.0.1   [View Source]   Wed, 30 Sep 2020 09:52:35 GMT
Fix metadata.

pts/rnnoise-1.0.0   [View Source]   Wed, 30 Sep 2020 09:44:33 GMT
Initial commit of rnnoise for recurrent neural network for audio noise reduction.

Suites Using This Test

Machine Learning

Creator Workloads

HPC - High Performance Computing

Speech

Telephony


Performance Metrics

Analyze Test Configuration:

RNNoise 2020-06-28

OpenBenchmarking.org metrics for this test profile configuration based on 1,306 public results since 30 September 2020 with the latest data as of 1 October 2022.

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
Seconds (Average)
94th
10
15 +/- 1
86th
12
16 +/- 1
79th
28
16 +/- 1
Mid-Tier
75th
> 17
75th
4
17 +/- 1
75th
17
17 +/- 1
58th
25
19 +/- 1
52nd
20
20 +/- 1
Median
50th
21
48th
6
21 +/- 1
44th
5
21
40th
15
22 +/- 1
37th
5
23
Low-Tier
25th
> 26
21st
6
27 +/- 1
18th
5
29 +/- 3
OpenBenchmarking.orgDistribution Of Public Results1299 Results Range From 12 To 399 Seconds12325272921121321521721922122322522722923123323523723924122004006008001000

Based on OpenBenchmarking.org data, the selected test / test configuration (RNNoise 2020-06-28) 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 BenchmarkRun-Time3691215Min: 1 / Avg: 1.37 / Max: 9

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsDeviation246810Min: 0 / Avg: 0.36 / Max: 4

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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseRNNoise CPU Core Scaling24681216243248640.48130.96261.44391.92522.4065

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)
RISC-V 64-bit
riscv64
SiFive RISC-V, SiFive U740, rv64imafdc, rv64imafdcsu
IBM POWER (PowerPC) 64-bit
ppc64le
POWER9 4-Core, POWER9 44-Core
Loongson LoongArch 64-bit
loongarch64
Loongson-3A5000LL
ARMv7 32-bit
armv7l
ARMv7 Cortex-A53 4-Core, ARMv7 Cortex-A72 4-Core, ARMv7 rev 3 4-Core
ARMv8 64-bit
aarch64
AArch64 rev 1, AArch64 rev 4, ARMv8 Cortex-A53 4-Core, ARMv8 Cortex-A72 4-Core, ARMv8 Neoverse-V1, Ampere Altra ARMv8 Neoverse-N1 160-Core, Ampere eMAG ARMv8 32-Core, Apple M1, Apple M2, phytium FT1500a

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