OctaneBench® 4.00 - 1x Tesla V100-SXM3-32GB     1 result



Maximum 354.46 Average 354.46
Minimum 354.46 Median 354.46

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-SXM3-32GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3780.1037.81
Direct Lighting3570.40142.65
Path Tracing3480.50174.00
 
Total Score #2354.46
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels218.82425
Interior (by Julia Lynen)Direct Lighting73.40412
Interior (by Julia Lynen)Path Tracing32.63382
Idea (by Julio Cayetaño)Info Channels234.57273
Idea (by Julio Cayetaño)Direct Lighting69.77331
Idea (by Julio Cayetaño)Path Tracing61.33316
ATV (by Jürgen Aleksejev)Info Channels138.56441
ATV (by Jürgen Aleksejev)Direct Lighting51.68340
ATV (by Jürgen Aleksejev)Path Tracing43.97340
Box (by Enrico Cerica)Info Channels245.48373
Box (by Enrico Cerica)Direct Lighting47.46343
Box (by Enrico Cerica)Path Tracing47.49353
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).