OctaneBench® 4.00 - 1x Tesla V100-PCIE-32GB     2 results



Maximum 341.30 Average 341.26
Minimum 341.23 Median 341.23

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-PCIE-32GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3650.1036.46
Direct Lighting3430.40137.34
Path Tracing3350.50167.47
 
Total Score #2341.26
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels209.46407
Interior (by Julia Lynen)Direct Lighting71.01399
Interior (by Julia Lynen)Path Tracing31.19365
Idea (by Julio Cayetaño)Info Channels232.38270
Idea (by Julio Cayetaño)Direct Lighting66.46316
Idea (by Julio Cayetaño)Path Tracing59.31306
ATV (by Jürgen Aleksejev)Info Channels132.23421
ATV (by Jürgen Aleksejev)Direct Lighting50.05329
ATV (by Jürgen Aleksejev)Path Tracing41.89324
Box (by Enrico Cerica)Info Channels236.81360
Box (by Enrico Cerica)Direct Lighting45.63330
Box (by Enrico Cerica)Path Tracing46.32344
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 results

#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).