OctaneBench® 4.00 - 1x GTX TITAN + 1x RTX 2080     1 result



Maximum 335.39 Average 335.39
Minimum 335.39 Median 335.39

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX TITAN13.5
RTX 208017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3520.1035.17
Direct Lighting3370.40134.73
Path Tracing3310.50165.49
 
Total Score #2335.39
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels195.50379
Interior (by Julia Lynen)Direct Lighting68.02382
Interior (by Julia Lynen)Path Tracing30.37356
Idea (by Julio Cayetaño)Info Channels230.65268
Idea (by Julio Cayetaño)Direct Lighting66.65317
Idea (by Julio Cayetaño)Path Tracing60.10310
ATV (by Jürgen Aleksejev)Info Channels129.06411
ATV (by Jürgen Aleksejev)Direct Lighting48.98322
ATV (by Jürgen Aleksejev)Path Tracing40.94317
Box (by Enrico Cerica)Info Channels228.86348
Box (by Enrico Cerica)Direct Lighting45.19326
Box (by Enrico Cerica)Path Tracing45.90341
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).