OctaneBench® 4.00 - 4x TITAN X (Pascal)     2 results



Maximum 837.16 Average 825.88
Minimum 814.60 Median 837.16

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
TITAN X (Pascal)46.13.03.22.26

Kernel Score #2 Weight #3 Sub-total
Info Channels8870.1088.73
Direct Lighting8350.40333.91
Path Tracing8060.50403.25
 
Total Score #2825.88
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels508.07986
Interior (by Julia Lynen)Direct Lighting173.95977
Interior (by Julia Lynen)Path Tracing75.25881
Idea (by Julio Cayetaño)Info Channels609.32709
Idea (by Julio Cayetaño)Direct Lighting165.23785
Idea (by Julio Cayetaño)Path Tracing146.03753
ATV (by Jürgen Aleksejev)Info Channels298.83952
ATV (by Jürgen Aleksejev)Direct Lighting116.03763
ATV (by Jürgen Aleksejev)Path Tracing96.50747
Box (by Enrico Cerica)Info Channels593.30902
Box (by Enrico Cerica)Direct Lighting112.66814
Box (by Enrico Cerica)Path Tracing113.58844
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 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).