OctaneBench® 4.00 - 1x Tesla V100-PCIE-16GB     2 results



Maximum 355.82 Average 354.57
Minimum 353.32 Median 353.32

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-PCIE-16GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels3770.1037.70
Direct Lighting3560.40142.47
Path Tracing3490.50174.40
 
Total Score #2354.57
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels215.43418
Interior (by Julia Lynen)Direct Lighting73.56413
Interior (by Julia Lynen)Path Tracing32.56381
Idea (by Julio Cayetaño)Info Channels235.25274
Idea (by Julio Cayetaño)Direct Lighting69.18329
Idea (by Julio Cayetaño)Path Tracing61.98320
ATV (by Jürgen Aleksejev)Info Channels140.79449
ATV (by Jürgen Aleksejev)Direct Lighting53.43351
ATV (by Jürgen Aleksejev)Path Tracing44.83347
Box (by Enrico Cerica)Info Channels241.92368
Box (by Enrico Cerica)Direct Lighting45.88331
Box (by Enrico Cerica)Path Tracing46.69347
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).