OctaneBench® 4.00 - 1x GTX 1070 Ti + 2x RTX 2080 Ti     1 result

Maximum 746.21 Average 746.21
Minimum 746.21 Median 746.21

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
RTX 2080 Ti27.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels8240.1082.35
Direct Lighting7490.40299.41
Path Tracing7290.50364.44
Total Score #2746.21
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels471.22915
Interior (by Julia Lynen)Direct Lighting154.30867
Interior (by Julia Lynen)Path Tracing68.77805
Idea (by Julio Cayetaño)Info Channels529.42616
Idea (by Julio Cayetaño)Direct Lighting145.04689
Idea (by Julio Cayetaño)Path Tracing129.18667
ATV (by Jürgen Aleksejev)Info Channels301.50960
ATV (by Jürgen Aleksejev)Direct Lighting109.54720
ATV (by Jürgen Aleksejev)Path Tracing91.36707
Box (by Enrico Cerica)Info Channels528.23803
Box (by Enrico Cerica)Direct Lighting99.38718
Box (by Enrico Cerica)Path Tracing99.07737
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).