OctaneBench® 4.00 - 2x Tesla P100-PCIE-16GB     1 result



Maximum 487.56 Average 487.56
Minimum 487.56 Median 487.56

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
Tesla P100-PCIE-16GB2????

Kernel Score #2 Weight #3 Sub-total
Info Channels5210.1052.11
Direct Lighting4860.40194.40
Path Tracing4820.50241.05
 
Total Score #2487.56
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels289.92563
Interior (by Julia Lynen)Direct Lighting95.16535
Interior (by Julia Lynen)Path Tracing43.69512
Idea (by Julio Cayetaño)Info Channels337.07392
Idea (by Julio Cayetaño)Direct Lighting95.89456
Idea (by Julio Cayetaño)Path Tracing86.60447
ATV (by Jürgen Aleksejev)Info Channels188.19600
ATV (by Jürgen Aleksejev)Direct Lighting72.67478
ATV (by Jürgen Aleksejev)Path Tracing61.27474
Box (by Enrico Cerica)Info Channels348.64530
Box (by Enrico Cerica)Direct Lighting65.89476
Box (by Enrico Cerica)Path Tracing66.67496
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#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).