OctaneBench® 4.00 - 6x GTX 1080 Ti     33 results

Maximum 1,390.49 Average 1,244.06
Minimum 618.74 Median 1,292.53

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

Kernel Score #2 Weight #3 Sub-total
Info Channels13100.10130.97
Direct Lighting12540.40501.55
Path Tracing12230.50611.54
Total Score #21244.06
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels732.561422
Interior (by Julia Lynen)Direct Lighting255.311434
Interior (by Julia Lynen)Path Tracing111.831309
Idea (by Julio Cayetaño)Info Channels896.311042
Idea (by Julio Cayetaño)Direct Lighting246.941173
Idea (by Julio Cayetaño)Path Tracing221.421143
ATV (by Jürgen Aleksejev)Info Channels445.851420
ATV (by Jürgen Aleksejev)Direct Lighting176.881163
ATV (by Jürgen Aleksejev)Path Tracing146.921137
Box (by Enrico Cerica)Info Channels890.371354
Box (by Enrico Cerica)Direct Lighting172.341245
Box (by Enrico Cerica)Path Tracing175.281303
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).