OctaneBench® 3.06.2 - 1x GTX 1070 Ti     134 results



Maximum 163.52 Average 134.87
Minimum 99.40 Median 128.97

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

Kernel Score #2 Weight #3 Sub-total
Info Channels1370.1013.70
Direct Lighting1350.4053.97
Path Tracing1340.5067.20
 
Total Score #2134.87
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels70.64137
Interior (by Julia Lynen)Direct Lighting24.34137
Interior (by Julia Lynen)Path Tracing11.50135
Idea (by Julio Cayetaño)Info Channels117.71137
Idea (by Julio Cayetaño)Direct Lighting28.26134
Idea (by Julio Cayetaño)Path Tracing26.03134
ATV (by Jürgen Aleksejev)Info Channels42.55136
ATV (by Jürgen Aleksejev)Direct Lighting20.41134
ATV (by Jürgen Aleksejev)Path Tracing17.19133
Box (by Enrico Cerica)Info Channels90.92138
Box (by Enrico Cerica)Direct Lighting18.62135
Box (by Enrico Cerica)Path Tracing18.23136
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).