OctaneBench® 4.00 - 1x GTX 1080 + 3x GTX 1080 Ti     6 results

Maximum 825.56 Average 817.63
Minimum 799.01 Median 822.86

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 108016.
GTX 1080 Ti36.

Kernel Score #2 Weight #3 Sub-total
Info Channels8710.1087.06
Direct Lighting8250.40329.91
Path Tracing8010.50400.65
Total Score #2817.63
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels477.55927
Interior (by Julia Lynen)Direct Lighting167.83943
Interior (by Julia Lynen)Path Tracing72.48849
Idea (by Julio Cayetaño)Info Channels600.70699
Idea (by Julio Cayetaño)Direct Lighting163.24775
Idea (by Julio Cayetaño)Path Tracing146.49756
ATV (by Jürgen Aleksejev)Info Channels295.19940
ATV (by Jürgen Aleksejev)Direct Lighting115.63760
ATV (by Jürgen Aleksejev)Path Tracing96.18744
Box (by Enrico Cerica)Info Channels602.58916
Box (by Enrico Cerica)Direct Lighting113.57821
Box (by Enrico Cerica)Path Tracing115.17856
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).