OctaneBench® 4.00 - 1x GTX 1080 Ti + 2x TITAN X (Pascal)     3 results

Maximum 616.70 Average 612.95
Minimum 607.08 Median 615.07

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti16.
TITAN X (Pascal)

Kernel Score #2 Weight #3 Sub-total
Info Channels6520.1065.16
Direct Lighting6180.40247.04
Path Tracing5980.50298.88
Total Score #2611.08
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels373.16724
Interior (by Julia Lynen)Direct Lighting128.09720
Interior (by Julia Lynen)Path Tracing54.92643
Idea (by Julio Cayetaño)Info Channels438.35510
Idea (by Julio Cayetaño)Direct Lighting120.88574
Idea (by Julio Cayetaño)Path Tracing107.99557
ATV (by Jürgen Aleksejev)Info Channels221.32705
ATV (by Jürgen Aleksejev)Direct Lighting86.48569
ATV (by Jürgen Aleksejev)Path Tracing71.93557
Box (by Enrico Cerica)Info Channels438.62667
Box (by Enrico Cerica)Direct Lighting84.15608
Box (by Enrico Cerica)Path Tracing85.28634
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 results

#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).