C-Ray
This is a test of C-Ray, a simple multi-threaded raytracer designed to test the floating-point CPU performance.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark c-ray.
Project Site
nuclear.mutantstargoat.comSource Repository
github.comTest Created
6 December 2010Last Updated
27 April 2024Test Maintainer
Michael LarabelTest Type
ProcessorAverage Install Time
3 SecondsAverage Run Time
23 SecondsTest Dependencies
C/C++ Compiler ToolchainAccolades
300k+ Downloads + 40k+ Public Benchmark ResultsSupported 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 6 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:C-Ray 1.1
Total Time - 4K, 16 Rays Per Pixel
OpenBenchmarking.org metrics for this test profile configuration based on 9,607 public results since 28 July 2018 with the latest data as of 7 November 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 (C-Ray 1.1 - Total Time - 4K, 16 Rays Per Pixel) has an average run-time of 16 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.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.5%.
Does It Scale Well With Increasing Cores?
Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does 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.
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.
This test profile binary relies on the shared libraries libm.so.6, libc.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.