OctaneBench® 4.00 - 2x GTX 1080 Ti + 2x TITAN Xp COLLECTORS EDITION     1 result

Maximum 946.34 Average 946.34
Minimum 946.34 Median 946.34

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti26.

Kernel Score #2 Weight #3 Sub-total
Info Channels9900.1099.03
Direct Lighting9560.40382.35
Path Tracing9300.50464.97
Total Score #2946.34
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels548.511065
Interior (by Julia Lynen)Direct Lighting195.081096
Interior (by Julia Lynen)Path Tracing85.03996
Idea (by Julio Cayetaño)Info Channels672.39782
Idea (by Julio Cayetaño)Direct Lighting188.04893
Idea (by Julio Cayetaño)Path Tracing168.09867
ATV (by Jürgen Aleksejev)Info Channels341.231087
ATV (by Jürgen Aleksejev)Direct Lighting134.83886
ATV (by Jürgen Aleksejev)Path Tracing112.36870
Box (by Enrico Cerica)Info Channels675.551027
Box (by Enrico Cerica)Direct Lighting131.17948
Box (by Enrico Cerica)Path Tracing132.76987
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).