OctaneBench® 4.00 - 6x RTX 2080 Ti     3 results

Maximum 1,817.26 Average 1,784.24
Minimum 1,750.62 Median 1,817.26

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
RTX 2080 Ti67.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels19800.10197.99
Direct Lighting17810.40712.54
Path Tracing17470.50873.72
Total Score #21784.24
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels1158.812249
Interior (by Julia Lynen)Direct Lighting371.022084
Interior (by Julia Lynen)Path Tracing166.291947
Idea (by Julio Cayetaño)Info Channels1256.521461
Idea (by Julio Cayetaño)Direct Lighting345.581642
Idea (by Julio Cayetaño)Path Tracing308.621592
ATV (by Jürgen Aleksejev)Info Channels729.112323
ATV (by Jürgen Aleksejev)Direct Lighting263.831735
ATV (by Jürgen Aleksejev)Path Tracing221.091711
Box (by Enrico Cerica)Info Channels1240.251886
Box (by Enrico Cerica)Direct Lighting230.401665
Box (by Enrico Cerica)Path Tracing233.871739
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 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).