OctaneBench® 4.00 - 6x GTX 1080 Ti     46 results

Maximum 1,390.49 Average 1,246.94
Minimum 618.74 Median 1,293.43

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti66.

Kernel Score #2 Weight #3 Sub-total
Info Channels13150.10131.48
Direct Lighting12570.40502.64
Path Tracing12260.50612.81
Total Score #21246.94
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels735.821428
Interior (by Julia Lynen)Direct Lighting255.881438
Interior (by Julia Lynen)Path Tracing112.071312
Idea (by Julio Cayetaño)Info Channels899.691046
Idea (by Julio Cayetaño)Direct Lighting247.461176
Idea (by Julio Cayetaño)Path Tracing221.941145
ATV (by Jürgen Aleksejev)Info Channels447.551426
ATV (by Jürgen Aleksejev)Direct Lighting177.131165
ATV (by Jürgen Aleksejev)Path Tracing147.151139
Box (by Enrico Cerica)Info Channels893.621359
Box (by Enrico Cerica)Direct Lighting172.821249
Box (by Enrico Cerica)Path Tracing175.661306
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).