OctaneBench® 3.06.2 - 2x Tesla K80     2 results



Maximum 139.35 Average 130.68
Minimum 122.01 Median 122.01

Note:

This result includes a Multi-GPU Video Card.

GPU Model No. GPUs No. Cards
(estimate)
Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla K80213.73.08

Kernel Score #2 Weight #3 Sub-total
Info Channels1370.1013.69
Direct Lighting1310.4052.58
Path Tracing1290.5064.42
 
Total Score #2130.68
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels72.86141
Interior (by Julia Lynen)Direct Lighting25.45143
Interior (by Julia Lynen)Path Tracing11.41134
Idea (by Julio Cayetaño)Info Channels124.53145
Idea (by Julio Cayetaño)Direct Lighting27.09129
Idea (by Julio Cayetaño)Path Tracing24.89128
ATV (by Jürgen Aleksejev)Info Channels39.70126
ATV (by Jürgen Aleksejev)Direct Lighting19.29127
ATV (by Jürgen Aleksejev)Path Tracing16.32126
Box (by Enrico Cerica)Info Channels88.58135
Box (by Enrico Cerica)Direct Lighting17.62127
Box (by Enrico Cerica)Path Tracing17.08127
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 results

#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).