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



Maximum 676.40 Average 676.40
Minimum 676.40 Median 676.40

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-PCIE-32GB27.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels7220.1072.20
Direct Lighting6800.40272.13
Path Tracing6640.50332.07
 
Total Score #2676.40
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels414.44804
Interior (by Julia Lynen)Direct Lighting140.96792
Interior (by Julia Lynen)Path Tracing61.50720
Idea (by Julio Cayetaño)Info Channels458.37533
Idea (by Julio Cayetaño)Direct Lighting131.76626
Idea (by Julio Cayetaño)Path Tracing117.95609
ATV (by Jürgen Aleksejev)Info Channels263.54840
ATV (by Jürgen Aleksejev)Direct Lighting99.52654
ATV (by Jürgen Aleksejev)Path Tracing83.64647
Box (by Enrico Cerica)Info Channels467.50711
Box (by Enrico Cerica)Direct Lighting89.84649
Box (by Enrico Cerica)Path Tracing91.52680
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).