OctaneBench® 4.00 - 3x GTX 1080 Ti + 2x GTX 980 Ti     2 results

Maximum 944.45 Average 942.03
Minimum 939.61 Median 939.61

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti36.
GTX 980 Ti25.2

Kernel Score #2 Weight #3 Sub-total
Info Channels9780.1097.85
Direct Lighting9470.40378.75
Path Tracing9310.50465.43
Total Score #2942.03
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels546.591061
Interior (by Julia Lynen)Direct Lighting190.991073
Interior (by Julia Lynen)Path Tracing84.53990
Idea (by Julio Cayetaño)Info Channels667.42776
Idea (by Julio Cayetaño)Direct Lighting186.36885
Idea (by Julio Cayetaño)Path Tracing168.77871
ATV (by Jürgen Aleksejev)Info Channels334.041064
ATV (by Jürgen Aleksejev)Direct Lighting134.86887
ATV (by Jürgen Aleksejev)Path Tracing112.79873
Box (by Enrico Cerica)Info Channels665.761013
Box (by Enrico Cerica)Direct Lighting130.46943
Box (by Enrico Cerica)Path Tracing133.14990
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 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).