OctaneBench® 4.00 - 2x Tesla V100-PCIE-16GB     1 result



Maximum 719.24 Average 719.24
Minimum 719.24 Median 719.24

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-PCIE-16GB27.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels7600.1075.96
Direct Lighting7230.40289.35
Path Tracing7080.50353.94
 
Total Score #2719.24
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels434.97844
Interior (by Julia Lynen)Direct Lighting149.25838
Interior (by Julia Lynen)Path Tracing65.85771
Idea (by Julio Cayetaño)Info Channels476.26554
Idea (by Julio Cayetaño)Direct Lighting140.12666
Idea (by Julio Cayetaño)Path Tracing125.59648
ATV (by Jürgen Aleksejev)Info Channels282.42900
ATV (by Jürgen Aleksejev)Direct Lighting107.65708
ATV (by Jürgen Aleksejev)Path Tracing90.06697
Box (by Enrico Cerica)Info Channels486.90741
Box (by Enrico Cerica)Direct Lighting94.33682
Box (by Enrico Cerica)Path Tracing96.21715
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).