OctaneBench® 4.00 - 1x GTX 1080 Ti + 1x GTX 980 Ti     15 results

Maximum 392.43 Average 366.40
Minimum 351.62 Median 367.74

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1080 Ti16.
GTX 980 Ti15.2

Kernel Score #2 Weight #3 Sub-total
Info Channels3790.1037.89
Direct Lighting3700.40147.84
Path Tracing3610.50180.67
Total Score #2366.40
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels213.75415
Interior (by Julia Lynen)Direct Lighting75.18422
Interior (by Julia Lynen)Path Tracing33.02387
Idea (by Julio Cayetaño)Info Channels257.71300
Idea (by Julio Cayetaño)Direct Lighting72.83346
Idea (by Julio Cayetaño)Path Tracing65.40337
ATV (by Jürgen Aleksejev)Info Channels130.54416
ATV (by Jürgen Aleksejev)Direct Lighting52.50345
ATV (by Jürgen Aleksejev)Path Tracing43.93340
Box (by Enrico Cerica)Info Channels253.19385
Box (by Enrico Cerica)Direct Lighting50.51365
Box (by Enrico Cerica)Path Tracing51.27381
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).