OctaneBench® 4.00 - 2x GTX 980 Ti + 1x GTX TITAN Black     2 results

Maximum 387.28 Average 379.88
Minimum 372.47 Median 387.28

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 980 Ti25.2
GTX TITAN Black13.5

Kernel Score #2 Weight #3 Sub-total
Info Channels3650.1036.49
Direct Lighting3860.40154.38
Path Tracing3780.50189.01
Total Score #2379.88
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels201.80392
Interior (by Julia Lynen)Direct Lighting78.50441
Interior (by Julia Lynen)Path Tracing34.23401
Idea (by Julio Cayetaño)Info Channels248.56289
Idea (by Julio Cayetaño)Direct Lighting77.05366
Idea (by Julio Cayetaño)Path Tracing69.57359
ATV (by Jürgen Aleksejev)Info Channels128.50409
ATV (by Jürgen Aleksejev)Direct Lighting54.57359
ATV (by Jürgen Aleksejev)Path Tracing45.79354
Box (by Enrico Cerica)Info Channels242.81369
Box (by Enrico Cerica)Direct Lighting52.31378
Box (by Enrico Cerica)Path Tracing53.52398
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 results

#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).