OctaneBench® 4.00 - 2x GTX 1080 + 2x GTX 1080 Ti     5 results

Maximum 729.11 Average 709.93
Minimum 678.70 Median 678.70

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 108026.
GTX 1080 Ti26.

Kernel Score #2 Weight #3 Sub-total
Info Channels7770.1077.67
Direct Lighting7350.40293.89
Path Tracing7110.50355.38
Total Score #2726.95
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels426.04827
Interior (by Julia Lynen)Direct Lighting149.91842
Interior (by Julia Lynen)Path Tracing64.68757
Idea (by Julio Cayetaño)Info Channels544.07633
Idea (by Julio Cayetaño)Direct Lighting146.71697
Idea (by Julio Cayetaño)Path Tracing132.05681
ATV (by Jürgen Aleksejev)Info Channels260.75831
ATV (by Jürgen Aleksejev)Direct Lighting102.54674
ATV (by Jürgen Aleksejev)Path Tracing84.42653
Box (by Enrico Cerica)Info Channels536.95817
Box (by Enrico Cerica)Direct Lighting100.42726
Box (by Enrico Cerica)Path Tracing100.99751
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).