OctaneBench® 4.00 - 1x Tesla V100-PCIE-32GB     3 results



Maximum 341.30 Average 337.23
Minimum 329.16 Median 341.30

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 Channels3580.1035.75
Direct Lighting3390.40135.60
Path Tracing3320.50165.88
 
Total Score #2337.23
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels204.96398
Interior (by Julia Lynen)Direct Lighting70.07394
Interior (by Julia Lynen)Path Tracing30.95362
Idea (by Julio Cayetaño)Info Channels227.74265
Idea (by Julio Cayetaño)Direct Lighting65.60312
Idea (by Julio Cayetaño)Path Tracing58.78303
ATV (by Jürgen Aleksejev)Info Channels130.54416
ATV (by Jürgen Aleksejev)Direct Lighting49.54326
ATV (by Jürgen Aleksejev)Path Tracing41.48321
Box (by Enrico Cerica)Info Channels231.11352
Box (by Enrico Cerica)Direct Lighting44.97325
Box (by Enrico Cerica)Path Tracing45.77340
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 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).