OctaneBench® 4.00 - 1x GTX 1070 Ti + 1x GTX 960     3 results



Maximum 207.74 Average 202.02
Minimum 198.77 Median 198.77

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
GTX 96015.2

Kernel Score #2 Weight #3 Sub-total
Info Channels2100.1020.99
Direct Lighting2040.4081.47
Path Tracing1990.5099.57
 
Total Score #2202.02
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels116.96227
Interior (by Julia Lynen)Direct Lighting41.23232
Interior (by Julia Lynen)Path Tracing18.06211
Idea (by Julio Cayetaño)Info Channels143.57167
Idea (by Julio Cayetaño)Direct Lighting39.51188
Idea (by Julio Cayetaño)Path Tracing35.79185
ATV (by Jürgen Aleksejev)Info Channels72.86232
ATV (by Jürgen Aleksejev)Direct Lighting29.21192
ATV (by Jürgen Aleksejev)Path Tracing24.67191
Box (by Enrico Cerica)Info Channels140.28213
Box (by Enrico Cerica)Direct Lighting28.13203
Box (by Enrico Cerica)Path Tracing28.17209
These values are calculated from the averages of all submissions and may not be representative of actual performance.

3 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).