OctaneBench® 4.00 - 1x GTX 1070 Ti + 1x GTX 780     2 results



Maximum 242.51 Average 241.83
Minimum 241.15 Median 241.15

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
GTX 78013.5

Kernel Score #2 Weight #3 Sub-total
Info Channels2380.1023.81
Direct Lighting2450.4098.15
Path Tracing2400.50119.87
 
Total Score #2241.83
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels130.67254
Interior (by Julia Lynen)Direct Lighting49.20276
Interior (by Julia Lynen)Path Tracing21.36250
Idea (by Julio Cayetaño)Info Channels162.30189
Idea (by Julio Cayetaño)Direct Lighting48.85232
Idea (by Julio Cayetaño)Path Tracing44.05227
ATV (by Jürgen Aleksejev)Info Channels82.80264
ATV (by Jürgen Aleksejev)Direct Lighting34.78229
ATV (by Jürgen Aleksejev)Path Tracing29.12225
Box (by Enrico Cerica)Info Channels161.92246
Box (by Enrico Cerica)Direct Lighting33.82244
Box (by Enrico Cerica)Path Tracing34.45256
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).