OctaneBench® 4.00 - 1x TITAN V     27 results



Maximum 467.48 Average 393.19
Minimum 314.46 Median 466.69

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

Kernel Score #2 Weight #3 Sub-total
Info Channels3960.1039.59
Direct Lighting3960.40158.24
Path Tracing3910.50195.36
 
Total Score #2393.19
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels222.39432
Interior (by Julia Lynen)Direct Lighting80.26451
Interior (by Julia Lynen)Path Tracing36.08423
Idea (by Julio Cayetaño)Info Channels249.04290
Idea (by Julio Cayetaño)Direct Lighting75.82360
Idea (by Julio Cayetaño)Path Tracing68.78355
ATV (by Jürgen Aleksejev)Info Channels150.26479
ATV (by Jürgen Aleksejev)Direct Lighting59.49391
ATV (by Jürgen Aleksejev)Path Tracing49.84386
Box (by Enrico Cerica)Info Channels252.25384
Box (by Enrico Cerica)Direct Lighting52.61380
Box (by Enrico Cerica)Path Tracing53.77400
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).