OctaneBench® 4.00 - 3x GTX TITAN X     17 results



Maximum 473.33 Average 452.10
Minimum 420.79 Median 456.25

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX TITAN X35.2

Kernel Score #2 Weight #3 Sub-total
Info Channels4500.1045.05
Direct Lighting4550.40182.18
Path Tracing4500.50224.88
 
Total Score #2452.10
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels257.04499
Interior (by Julia Lynen)Direct Lighting91.75515
Interior (by Julia Lynen)Path Tracing40.65476
Idea (by Julio Cayetaño)Info Channels296.63345
Idea (by Julio Cayetaño)Direct Lighting89.41425
Idea (by Julio Cayetaño)Path Tracing81.20419
ATV (by Jürgen Aleksejev)Info Channels157.78503
ATV (by Jürgen Aleksejev)Direct Lighting65.93433
ATV (by Jürgen Aleksejev)Path Tracing55.61430
Box (by Enrico Cerica)Info Channels299.39455
Box (by Enrico Cerica)Direct Lighting62.02448
Box (by Enrico Cerica)Path Tracing63.71474
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).