OctaneBench® 3.06.2 - 1x Tesla P100-PCIE-16GB     3 results



Maximum 230.45 Average 230.11
Minimum 229.84 Median 230.45

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla P100-PCIE-16GB1????

Kernel Score #2 Weight #3 Sub-total
Info Channels2290.1022.86
Direct Lighting2290.4091.52
Path Tracing2310.50115.73
 
Total Score #2230.11
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels115.61224
Interior (by Julia Lynen)Direct Lighting41.59234
Interior (by Julia Lynen)Path Tracing20.18236
Idea (by Julio Cayetaño)Info Channels202.88236
Idea (by Julio Cayetaño)Direct Lighting47.41225
Idea (by Julio Cayetaño)Path Tracing44.16228
ATV (by Jürgen Aleksejev)Info Channels69.62222
ATV (by Jürgen Aleksejev)Direct Lighting35.32232
ATV (by Jürgen Aleksejev)Path Tracing30.12233
Box (by Enrico Cerica)Info Channels152.79232
Box (by Enrico Cerica)Direct Lighting31.01224
Box (by Enrico Cerica)Path Tracing30.74229
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 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).