OctaneBench® 2.17 - 8x GTX 780 Ti     29 results



Maximum 905.23 Average 894.78
Minimum 867.31 Median 897.13

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 780 Ti83.5

Kernel Score #2 Weight #3 Sub-total
Info Channels9320.1093.17
Direct Lighting9150.35320.42
Path Tracing9190.35321.72
PMC7970.20159.47
 
Total Score #2894.78
Scene Kernel Ms/s #4 Score #2
Idea (by Julio Cayetaño)Info Channels761.08937
Idea (by Julio Cayetaño)Direct Lighting170.96917
Idea (by Julio Cayetaño)Path Tracing147.71924
Idea (by Julio Cayetaño)PMC21.74755
ATV (by Jürgen Aleksejev)Info Channels307.95948
ATV (by Jürgen Aleksejev)Direct Lighting111.56900
ATV (by Jürgen Aleksejev)Path Tracing90.34902
ATV (by Jürgen Aleksejev)PMC31.78843
Box (by Enrico Cerica)Info Channels538.76910
Box (by Enrico Cerica)Direct Lighting109.32930
Box (by Enrico Cerica)Path Tracing109.44932
Box (by Enrico Cerica)PMC30.42794
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).