OctaneBench® 4.00 - 3x Tesla V100-FHHL-16GB     2 results

Maximum 992.58 Average 986.47
Minimum 980.36 Median 980.36

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Tesla V100-FHHL-16GB37.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels10320.10103.18
Direct Lighting10000.40399.94
Path Tracing9670.50483.35
Total Score #2986.47
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels598.751162
Interior (by Julia Lynen)Direct Lighting205.841156
Interior (by Julia Lynen)Path Tracing87.011019
Idea (by Julio Cayetaño)Info Channels610.03709
Idea (by Julio Cayetaño)Direct Lighting194.01922
Idea (by Julio Cayetaño)Path Tracing174.33900
ATV (by Jürgen Aleksejev)Info Channels387.581235
ATV (by Jürgen Aleksejev)Direct Lighting148.51976
ATV (by Jürgen Aleksejev)Path Tracing123.84959
Box (by Enrico Cerica)Info Channels671.171021
Box (by Enrico Cerica)Direct Lighting130.78945
Box (by Enrico Cerica)Path Tracing133.14990
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).