OctaneBench® 4.00 - 1x GTX 1070 Ti     99 results



Maximum 175.85 Average 151.30
Minimum 111.29 Median 147.26

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

Kernel Score #2 Weight #3 Sub-total
Info Channels1590.1015.88
Direct Lighting1520.4060.90
Path Tracing1490.5074.52
 
Total Score #2151.30
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels87.52170
Interior (by Julia Lynen)Direct Lighting30.76173
Interior (by Julia Lynen)Path Tracing13.58159
Idea (by Julio Cayetaño)Info Channels107.59125
Idea (by Julio Cayetaño)Direct Lighting29.49140
Idea (by Julio Cayetaño)Path Tracing26.62137
ATV (by Jürgen Aleksejev)Info Channels55.58177
ATV (by Jürgen Aleksejev)Direct Lighting21.90144
ATV (by Jürgen Aleksejev)Path Tracing18.34142
Box (by Enrico Cerica)Info Channels107.20163
Box (by Enrico Cerica)Direct Lighting21.05152
Box (by Enrico Cerica)Path Tracing21.23158
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).