OctaneBench® 4.00 - 1x GTX 1660 + 1x GTX 780 Ti     1 result



Maximum 230.49 Average 230.49
Minimum 230.49 Median 230.49

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 166017.53.08X
GTX 780 Ti13.5

Kernel Score #2 Weight #3 Sub-total
Info Channels2230.1022.26
Direct Lighting2340.4093.57
Path Tracing2290.50114.66
 
Total Score #2230.49
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels123.88240
Interior (by Julia Lynen)Direct Lighting47.00264
Interior (by Julia Lynen)Path Tracing20.21237
Idea (by Julio Cayetaño)Info Channels149.12173
Idea (by Julio Cayetaño)Direct Lighting46.62221
Idea (by Julio Cayetaño)Path Tracing42.76221
ATV (by Jürgen Aleksejev)Info Channels78.42250
ATV (by Jürgen Aleksejev)Direct Lighting33.31219
ATV (by Jürgen Aleksejev)Path Tracing28.19218
Box (by Enrico Cerica)Info Channels149.06227
Box (by Enrico Cerica)Direct Lighting31.99231
Box (by Enrico Cerica)Path Tracing32.53242
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#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).