OctaneBench® 4.00 - 1x Tesla P4     5 results



Maximum 99.57 Average 96.10
Minimum 86.85 Median 99.57

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla P416.13.03.22.26

Kernel Score #2 Weight #3 Sub-total
Info Channels1060.1010.56
Direct Lighting960.4038.49
Path Tracing940.5047.04
 
Total Score #296.10
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels58.71114
Interior (by Julia Lynen)Direct Lighting19.46109
Interior (by Julia Lynen)Path Tracing8.57100
Idea (by Julio Cayetaño)Info Channels70.3582
Idea (by Julio Cayetaño)Direct Lighting18.6989
Idea (by Julio Cayetaño)Path Tracing16.8487
ATV (by Jürgen Aleksejev)Info Channels37.39119
ATV (by Jürgen Aleksejev)Direct Lighting13.9392
ATV (by Jürgen Aleksejev)Path Tracing11.6190
Box (by Enrico Cerica)Info Channels70.71108
Box (by Enrico Cerica)Direct Lighting13.1995
Box (by Enrico Cerica)Path Tracing13.3499
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


Results
Score

#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).