OctaneBench® 4.00 - 1x Tesla V100-PCIE-16GB     1 result



Maximum 353.32 Average 353.32
Minimum 353.32 Median 353.32

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-PCIE-16GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3780.1037.78
Direct Lighting3540.40141.65
Path Tracing3480.50173.88
 
Total Score #2353.32
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels215.92419
Interior (by Julia Lynen)Direct Lighting73.52413
Interior (by Julia Lynen)Path Tracing32.64382
Idea (by Julio Cayetaño)Info Channels235.77274
Idea (by Julio Cayetaño)Direct Lighting68.99328
Idea (by Julio Cayetaño)Path Tracing62.14321
ATV (by Jürgen Aleksejev)Info Channels141.43451
ATV (by Jürgen Aleksejev)Direct Lighting53.55352
ATV (by Jürgen Aleksejev)Path Tracing44.83347
Box (by Enrico Cerica)Info Channels241.67368
Box (by Enrico Cerica)Direct Lighting44.79324
Box (by Enrico Cerica)Path Tracing45.90341
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).