OctaneBench® 4.00 - 1x GTX 1050 Ti + 1x GTX 780 Ti     1 result



Maximum 166.76 Average 166.76
Minimum 166.76 Median 166.76

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1050 Ti1????
GTX 780 Ti13.5

Kernel Score #2 Weight #3 Sub-total
Info Channels1580.1015.81
Direct Lighting1690.4067.64
Path Tracing1670.5083.31
 
Total Score #2166.76
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels88.23171
Interior (by Julia Lynen)Direct Lighting33.73189
Interior (by Julia Lynen)Path Tracing14.71172
Idea (by Julio Cayetaño)Info Channels106.78124
Idea (by Julio Cayetaño)Direct Lighting34.17162
Idea (by Julio Cayetaño)Path Tracing31.06160
ATV (by Jürgen Aleksejev)Info Channels54.20173
ATV (by Jürgen Aleksejev)Direct Lighting23.75156
ATV (by Jürgen Aleksejev)Path Tracing20.51159
Box (by Enrico Cerica)Info Channels107.94164
Box (by Enrico Cerica)Direct Lighting23.32169
Box (by Enrico Cerica)Path Tracing23.56175
These values are calculated from the averages of all submissions and may not be representative of actual performance.

1 result

#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).