OctaneBench® 4.00 - 2x Tesla K80     1 result

Maximum 136.10 Average 136.10
Minimum 136.10 Median 136.10


This result includes a Multi-GPU Video Card.

GPU Model No. GPUs No. Cards
OctaneRender Support
v4 v3 v2
Tesla K80213.7

Kernel Score #2 Weight #3 Sub-total
Info Channels1510.1015.09
Direct Lighting1360.4054.48
Path Tracing1330.5066.54
Total Score #2136.10
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels84.52164
Interior (by Julia Lynen)Direct Lighting27.28153
Interior (by Julia Lynen)Path Tracing11.86139
Idea (by Julio Cayetaño)Info Channels97.79114
Idea (by Julio Cayetaño)Direct Lighting27.45130
Idea (by Julio Cayetaño)Path Tracing24.51126
ATV (by Jürgen Aleksejev)Info Channels52.83168
ATV (by Jürgen Aleksejev)Direct Lighting19.62129
ATV (by Jürgen Aleksejev)Path Tracing16.75130
Box (by Enrico Cerica)Info Channels103.51157
Box (by Enrico Cerica)Direct Lighting18.28132
Box (by Enrico Cerica)Path Tracing18.47137
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#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).