OctaneBench® 4.00 - 1x Tesla P100-PCIE-16GB     3 results



Maximum 242.81 Average 237.31
Minimum 233.10 Median 233.10

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

Kernel Score #2 Weight #3 Sub-total
Info Channels2580.1025.80
Direct Lighting2390.4095.45
Path Tracing2320.50116.06
 
Total Score #2237.31
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels144.80281
Interior (by Julia Lynen)Direct Lighting47.67268
Interior (by Julia Lynen)Path Tracing22.01258
Idea (by Julio Cayetaño)Info Channels168.72196
Idea (by Julio Cayetaño)Direct Lighting47.86227
Idea (by Julio Cayetaño)Path Tracing43.32224
ATV (by Jürgen Aleksejev)Info Channels94.53301
ATV (by Jürgen Aleksejev)Direct Lighting35.62234
ATV (by Jürgen Aleksejev)Path Tracing29.84231
Box (by Enrico Cerica)Info Channels166.71254
Box (by Enrico Cerica)Direct Lighting31.17225
Box (by Enrico Cerica)Path Tracing29.10216
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).