OctaneBench® 4.00 - 3x Tesla P100-PCIE-12GB     1 result



Maximum 553.65 Average 553.65
Minimum 553.65 Median 553.65

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla P100-PCIE-12GB3????

Kernel Score #2 Weight #3 Sub-total
Info Channels6230.1062.33
Direct Lighting5500.40220.15
Path Tracing5420.50271.17
 
Total Score #2553.65
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels342.03664
Interior (by Julia Lynen)Direct Lighting108.64610
Interior (by Julia Lynen)Path Tracing49.23577
Idea (by Julio Cayetaño)Info Channels412.79480
Idea (by Julio Cayetaño)Direct Lighting109.41520
Idea (by Julio Cayetaño)Path Tracing98.57509
ATV (by Jürgen Aleksejev)Info Channels221.47706
ATV (by Jürgen Aleksejev)Direct Lighting81.05533
ATV (by Jürgen Aleksejev)Path Tracing67.99526
Box (by Enrico Cerica)Info Channels423.17644
Box (by Enrico Cerica)Direct Lighting74.54539
Box (by Enrico Cerica)Path Tracing75.04558
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).