ECP-CANDLE
The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark ecp-candle.
Project Site
ecp-candle.github.ioSource Repository
github.comTest Created
12 August 2020Last Updated
2 August 2021Test Maintainer
Michael LarabelTest Type
SystemAverage Install Time
3 Minutes, 37 SecondsAverage Run Time
10 Minutes, 19 SecondsTest Dependencies
PythonAccolades
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.
*** Test profile page view reporting began March 2021.
Data updated weekly as of 18 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:ECP-CANDLE 0.4
Benchmark: P1B2
OpenBenchmarking.org metrics for this test profile configuration based on 219 public results since 2 August 2021 with the latest data as of 4 August 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.
Based on OpenBenchmarking.org data, the selected test / test configuration (ECP-CANDLE 0.4 - Benchmark: P1B2) has an average run-time of 2 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
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1 System - 342 Benchmark Results |
Intel Core i9-12900K - ASUS PRIME Z790-V AX - Intel Raptor Lake-S PCH Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0 |
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2 Systems - 195 Benchmark Results |
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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1 System - 334 Benchmark Results
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Intel Core i3-12100 - ASRock H610M-HDV/M.2 R2.0 - Intel Device 7aa7 Ubuntu 20.04 - 5.15.0-89-generic - GNOME Shell 3.36.9 |