OctaneBench® 4.00 - 7x P104-100     2 results



Maximum 1,000.58 Average 979.87
Minimum 959.16 Median 1,000.58

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
P104-10076.13.03.22.26

Kernel Score #2 Weight #3 Sub-total
Info Channels10120.10101.15
Direct Lighting9910.40396.45
Path Tracing9650.50482.26
 
Total Score #2979.87
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels557.871083
Interior (by Julia Lynen)Direct Lighting201.941134
Interior (by Julia Lynen)Path Tracing86.431012
Idea (by Julio Cayetaño)Info Channels689.21802
Idea (by Julio Cayetaño)Direct Lighting195.95931
Idea (by Julio Cayetaño)Path Tracing174.51900
ATV (by Jürgen Aleksejev)Info Channels354.831130
ATV (by Jürgen Aleksejev)Direct Lighting140.89926
ATV (by Jürgen Aleksejev)Path Tracing119.04921
Box (by Enrico Cerica)Info Channels678.191031
Box (by Enrico Cerica)Direct Lighting134.64973
Box (by Enrico Cerica)Path Tracing137.761024
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).