OctaneBench® 4.00 - 3x GTX TITAN X     24 results



Maximum 473.33 Average 451.22
Minimum 417.90 Median 472.62

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

Kernel Score #2 Weight #3 Sub-total
Info Channels4490.1044.88
Direct Lighting4550.40182.01
Path Tracing4490.50224.33
 
Total Score #2451.22
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels256.41498
Interior (by Julia Lynen)Direct Lighting91.91516
Interior (by Julia Lynen)Path Tracing40.61476
Idea (by Julio Cayetaño)Info Channels296.93345
Idea (by Julio Cayetaño)Direct Lighting89.41425
Idea (by Julio Cayetaño)Path Tracing81.04418
ATV (by Jürgen Aleksejev)Info Channels156.94500
ATV (by Jürgen Aleksejev)Direct Lighting65.78432
ATV (by Jürgen Aleksejev)Path Tracing55.41429
Box (by Enrico Cerica)Info Channels297.44452
Box (by Enrico Cerica)Direct Lighting61.81447
Box (by Enrico Cerica)Path Tracing63.49472
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).