OctaneBench® 4.00 - 1x TITAN V     33 results



Maximum 475.98 Average 400.77
Minimum 314.46 Median 466.52

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
TITAN V17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4040.1040.36
Direct Lighting4030.40161.31
Path Tracing3980.50199.10
 
Total Score #2400.77
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels227.28441
Interior (by Julia Lynen)Direct Lighting81.91460
Interior (by Julia Lynen)Path Tracing36.80431
Idea (by Julio Cayetaño)Info Channels253.95295
Idea (by Julio Cayetaño)Direct Lighting77.33367
Idea (by Julio Cayetaño)Path Tracing70.14362
ATV (by Jürgen Aleksejev)Info Channels153.08488
ATV (by Jürgen Aleksejev)Direct Lighting60.64399
ATV (by Jürgen Aleksejev)Path Tracing50.79393
Box (by Enrico Cerica)Info Channels256.60390
Box (by Enrico Cerica)Direct Lighting53.55387
Box (by Enrico Cerica)Path Tracing54.71407
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).