OctaneBench® 4.00 - 1x GTX 1080 Ti + 1x TITAN V     4 results

Maximum 548.39 Average 535.61
Minimum 509.54 Median 539.90

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti16.
TITAN V17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels5530.1055.26
Direct Lighting5400.40215.81
Path Tracing5290.50264.54
Total Score #2535.61
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels310.56603
Interior (by Julia Lynen)Direct Lighting110.29620
Interior (by Julia Lynen)Path Tracing48.77571
Idea (by Julio Cayetaño)Info Channels362.83422
Idea (by Julio Cayetaño)Direct Lighting105.36501
Idea (by Julio Cayetaño)Path Tracing94.77489
ATV (by Jürgen Aleksejev)Info Channels199.03634
ATV (by Jürgen Aleksejev)Direct Lighting78.52516
ATV (by Jürgen Aleksejev)Path Tracing65.58508
Box (by Enrico Cerica)Info Channels362.56551
Box (by Enrico Cerica)Direct Lighting72.22522
Box (by Enrico Cerica)Path Tracing73.78549
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).