OctaneBench® 3.06.2 - 2x GTX TITAN Z     17 results

Maximum 176.46 Average 154.87
Minimum 118.44 Median 141.27


This result includes a Multi-GPU Video Card.

GPU Model No. GPUs No. Cards
OctaneRender Support
v4 v3 v2

Kernel Score #2 Weight #3 Sub-total
Info Channels1500.1014.95
Direct Lighting1550.4061.98
Path Tracing1560.5077.94
Total Score #2154.87
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels84.32164
Interior (by Julia Lynen)Direct Lighting30.11169
Interior (by Julia Lynen)Path Tracing14.26167
Idea (by Julio Cayetaño)Info Channels130.82152
Idea (by Julio Cayetaño)Direct Lighting32.67155
Idea (by Julio Cayetaño)Path Tracing30.04155
ATV (by Jürgen Aleksejev)Info Channels45.04143
ATV (by Jürgen Aleksejev)Direct Lighting22.66149
ATV (by Jürgen Aleksejev)Path Tracing19.37150
Box (by Enrico Cerica)Info Channels91.31139
Box (by Enrico Cerica)Direct Lighting20.27146
Box (by Enrico Cerica)Path Tracing20.39152
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).