OctaneBench® 4.00 - 1x Quadro P6000 + 2x TITAN X (Pascal)     1 result

Maximum 609.99 Average 609.99
Minimum 609.99 Median 609.99

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Quadro P600016.
TITAN X (Pascal)

Kernel Score #2 Weight #3 Sub-total
Info Channels6460.1064.57
Direct Lighting6160.40246.53
Path Tracing5980.50298.88
Total Score #2609.99
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels365.05709
Interior (by Julia Lynen)Direct Lighting128.20720
Interior (by Julia Lynen)Path Tracing54.96644
Idea (by Julio Cayetaño)Info Channels441.31513
Idea (by Julio Cayetaño)Direct Lighting120.96575
Idea (by Julio Cayetaño)Path Tracing108.22558
ATV (by Jürgen Aleksejev)Info Channels220.17701
ATV (by Jürgen Aleksejev)Direct Lighting86.30567
ATV (by Jürgen Aleksejev)Path Tracing71.88556
Box (by Enrico Cerica)Info Channels433.83660
Box (by Enrico Cerica)Direct Lighting83.46603
Box (by Enrico Cerica)Path Tracing85.10633
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).