OctaneBench® 4.00 - 1x GTX TITAN Black     11 results



Maximum 116.36 Average 109.87
Minimum 100.89 Median 116.36

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX TITAN Black13.5

Kernel Score #2 Weight #3 Sub-total
Info Channels1030.1010.25
Direct Lighting1120.4044.64
Path Tracing1100.5054.98
 
Total Score #2109.87
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels57.97113
Interior (by Julia Lynen)Direct Lighting22.45126
Interior (by Julia Lynen)Path Tracing9.73114
Idea (by Julio Cayetaño)Info Channels69.7481
Idea (by Julio Cayetaño)Direct Lighting22.71108
Idea (by Julio Cayetaño)Path Tracing20.73107
ATV (by Jürgen Aleksejev)Info Channels34.83111
ATV (by Jürgen Aleksejev)Direct Lighting15.64103
ATV (by Jürgen Aleksejev)Path Tracing13.22102
Box (by Enrico Cerica)Info Channels69.40106
Box (by Enrico Cerica)Direct Lighting15.16110
Box (by Enrico Cerica)Path Tracing15.68117
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).