OctaneBench® 4.00 - 1x TITAN V     26 results



Maximum 467.48 Average 396.22
Minimum 331.94 Median 466.75

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

Kernel Score #2 Weight #3 Sub-total
Info Channels3990.1039.89
Direct Lighting3990.40159.47
Path Tracing3940.50196.86
 
Total Score #2396.22
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels224.07435
Interior (by Julia Lynen)Direct Lighting80.86454
Interior (by Julia Lynen)Path Tracing36.35426
Idea (by Julio Cayetaño)Info Channels250.93292
Idea (by Julio Cayetaño)Direct Lighting76.40363
Idea (by Julio Cayetaño)Path Tracing69.31358
ATV (by Jürgen Aleksejev)Info Channels151.39482
ATV (by Jürgen Aleksejev)Direct Lighting59.98394
ATV (by Jürgen Aleksejev)Path Tracing50.24389
Box (by Enrico Cerica)Info Channels254.08386
Box (by Enrico Cerica)Direct Lighting53.02383
Box (by Enrico Cerica)Path Tracing54.17403
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).