OctaneBench® 4.00 - 1x GTX 680 + 1x RTX 2080 Ti     14 results

Maximum 351.95 Average 338.10
Minimum 331.95 Median 336.34

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 68013.0
RTX 2080 Ti17.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3600.1036.01
Direct Lighting3400.40135.86
Path Tracing3320.50166.24
Total Score #2338.10
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels204.37397
Interior (by Julia Lynen)Direct Lighting69.36390
Interior (by Julia Lynen)Path Tracing30.90362
Idea (by Julio Cayetaño)Info Channels236.62275
Idea (by Julio Cayetaño)Direct Lighting66.99318
Idea (by Julio Cayetaño)Path Tracing60.56312
ATV (by Jürgen Aleksejev)Info Channels130.51416
ATV (by Jürgen Aleksejev)Direct Lighting49.24324
ATV (by Jürgen Aleksejev)Path Tracing40.90317
Box (by Enrico Cerica)Info Channels231.83353
Box (by Enrico Cerica)Direct Lighting45.25327
Box (by Enrico Cerica)Path Tracing45.59339
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).