OctaneBench® 3.06.2 - 1x GTX 1070 Ti     104 results



Maximum 153.93 Average 133.62
Minimum 99.40 Median 134.06

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????

Kernel Score #2 Weight #3 Sub-total
Info Channels1360.1013.57
Direct Lighting1340.4053.42
Path Tracing1330.5066.63
 
Total Score #2133.62
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels70.04136
Interior (by Julia Lynen)Direct Lighting24.01135
Interior (by Julia Lynen)Path Tracing11.39133
Idea (by Julio Cayetaño)Info Channels116.45135
Idea (by Julio Cayetaño)Direct Lighting28.06133
Idea (by Julio Cayetaño)Path Tracing25.89134
ATV (by Jürgen Aleksejev)Info Channels42.27135
ATV (by Jürgen Aleksejev)Direct Lighting20.26133
ATV (by Jürgen Aleksejev)Path Tracing17.05132
Box (by Enrico Cerica)Info Channels89.92137
Box (by Enrico Cerica)Direct Lighting18.38133
Box (by Enrico Cerica)Path Tracing18.03134
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).