OctaneBench® 4.00 - 2x GTX 1060 6GB     10 results



Maximum 199.45 Average 181.65
Minimum 168.83 Median 186.97

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1060 6GB2????

Kernel Score #2 Weight #3 Sub-total
Info Channels1910.1019.08
Direct Lighting1840.4073.62
Path Tracing1780.5088.94
 
Total Score #2181.65
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels104.10202
Interior (by Julia Lynen)Direct Lighting37.52211
Interior (by Julia Lynen)Path Tracing15.88186
Idea (by Julio Cayetaño)Info Channels132.08154
Idea (by Julio Cayetaño)Direct Lighting36.30172
Idea (by Julio Cayetaño)Path Tracing32.48168
ATV (by Jürgen Aleksejev)Info Channels66.26211
ATV (by Jürgen Aleksejev)Direct Lighting26.23172
ATV (by Jürgen Aleksejev)Path Tracing22.04171
Box (by Enrico Cerica)Info Channels129.20196
Box (by Enrico Cerica)Direct Lighting24.99181
Box (by Enrico Cerica)Path Tracing25.21187
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).