OctaneBench® 4.00 - 8x GTX 1070 Ti     2 results

Maximum 1,224.67 Average 1,202.60
Minimum 1,180.53 Median 1,224.67

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1070 Ti8????

Kernel Score #2 Weight #3 Sub-total
Info Channels12470.10124.68
Direct Lighting12090.40483.66
Path Tracing11890.50594.26
Total Score #21202.60
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels686.471332
Interior (by Julia Lynen)Direct Lighting244.131372
Interior (by Julia Lynen)Path Tracing108.771274
Idea (by Julio Cayetaño)Info Channels844.09982
Idea (by Julio Cayetaño)Direct Lighting233.371109
Idea (by Julio Cayetaño)Path Tracing212.331096
ATV (by Jürgen Aleksejev)Info Channels437.181393
ATV (by Jürgen Aleksejev)Direct Lighting175.921157
ATV (by Jürgen Aleksejev)Path Tracing145.811129
Box (by Enrico Cerica)Info Channels841.821280
Box (by Enrico Cerica)Direct Lighting166.051200
Box (by Enrico Cerica)Path Tracing168.981256
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 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).