OctaneBench® 4.00 - 1x Tesla V100-SXM2-16GB     2 results



Maximum 375.84 Average 374.69
Minimum 373.55 Median 373.55

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla V100-SXM2-16GB17.03.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels4000.1040.01
Direct Lighting3760.40150.23
Path Tracing3690.50184.45
 
Total Score #2374.69
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels226.87440
Interior (by Julia Lynen)Direct Lighting76.85432
Interior (by Julia Lynen)Path Tracing34.43403
Idea (by Julio Cayetaño)Info Channels252.66294
Idea (by Julio Cayetaño)Direct Lighting73.08347
Idea (by Julio Cayetaño)Path Tracing65.34337
ATV (by Jürgen Aleksejev)Info Channels149.03475
ATV (by Jürgen Aleksejev)Direct Lighting55.90368
ATV (by Jürgen Aleksejev)Path Tracing46.95363
Box (by Enrico Cerica)Info Channels257.29391
Box (by Enrico Cerica)Direct Lighting49.25356
Box (by Enrico Cerica)Path Tracing50.02372
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).