OctaneBench® 4.00 - 1x GRID V100D-16Q     2 results



Maximum 353.35 Average 349.32
Minimum 345.29 Median 353.35

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GRID V100D-16Q17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3610.1036.07
Direct Lighting3530.40141.08
Path Tracing3440.50172.17
 
Total Score #2349.32
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels203.22394
Interior (by Julia Lynen)Direct Lighting69.81392
Interior (by Julia Lynen)Path Tracing31.15365
Idea (by Julio Cayetaño)Info Channels223.10259
Idea (by Julio Cayetaño)Direct Lighting66.75317
Idea (by Julio Cayetaño)Path Tracing58.78303
ATV (by Jürgen Aleksejev)Info Channels133.71426
ATV (by Jürgen Aleksejev)Direct Lighting53.50352
ATV (by Jürgen Aleksejev)Path Tracing44.73346
Box (by Enrico Cerica)Info Channels238.74363
Box (by Enrico Cerica)Direct Lighting48.41350
Box (by Enrico Cerica)Path Tracing48.82363
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).