OctaneBench® 2020.1 - 1x Quadro M5000      4 results

Maximum 88.22 Average 86.68
Minimum 84.19 Median 87.57

GPU Model No. GPUs Compute
OctaneRender Support
2020 v4 v3 v2
Quadro M5000 1 5.2

Kernel Score #2 Weight #3 Sub-total
Info Channels 85 10 % 8.50
Direct Lighting 88 40 % 35.02
Path Tracing 86 50 % 43.17
Total Score #2 86.69
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen) Info Channels 50.62 98
Interior (by Julia Lynen) Direct Lighting 17.54 99
Interior (by Julia Lynen) Path Tracing 8.19 96
Idea (by Julio Cayetaño) Info Channels 51.44 60
Idea (by Julio Cayetaño) Direct Lighting 16.87 80
Idea (by Julio Cayetaño) Path Tracing 15.08 78
ATV (by Jürgen Aleksejev) Info Channels 34.13 109
ATV (by Jürgen Aleksejev) Direct Lighting 13.45 88
ATV (by Jürgen Aleksejev) Path Tracing 11.39 88
Box (by Enrico Cerica) Info Channels 48.22 73
Box (by Enrico Cerica) Direct Lighting 11.50 83
Box (by Enrico Cerica) Path Tracing 11.23 83
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


#1 What score is recommended for Octane?
This depends on your scene complexity and time-frame, but we recommended a score no lower than 45 for good render performance.

Please note that cards must have a score of 20 or higher to meet Octane's minimal performance requirements. While cards below this level may still be compatible, Octane's performance will be significantly impacted.
#2 What does the score value mean?
The score is calculated from the measured speed (Ms/s or mega samples per second), relative to the speed we measured for a GTX 980. If the score is under 100, the GPU(s) is/are slower than the GTX 980 we used as reference, and if it's more the GPU(s) is/are faster.
#3 What does the weight value mean?
The weight determines how each kernel's score affects the final score, and kernels that have higher usage are weighted higher.
#4 What is Ms/s?
Ms/s is mega-samples per second, this value is the average of all the results uploaded to OctaneRender for this/these GPU(s).