OctaneBench® 4.00 - 3x GTX 1070 Ti     6 results



Maximum 447.04 Average 438.30
Minimum 421.41 Median 445.92

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 1070 Ti3????

Kernel Score #2 Weight #3 Sub-total
Info Channels4590.1045.88
Direct Lighting4410.40176.56
Path Tracing4320.50215.86
 
Total Score #2438.30
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels254.77495
Interior (by Julia Lynen)Direct Lighting89.36502
Interior (by Julia Lynen)Path Tracing39.25460
Idea (by Julio Cayetaño)Info Channels314.43366
Idea (by Julio Cayetaño)Direct Lighting85.98408
Idea (by Julio Cayetaño)Path Tracing77.59400
ATV (by Jürgen Aleksejev)Info Channels158.72506
ATV (by Jürgen Aleksejev)Direct Lighting63.31416
ATV (by Jürgen Aleksejev)Path Tracing53.04411
Box (by Enrico Cerica)Info Channels308.61469
Box (by Enrico Cerica)Direct Lighting60.74439
Box (by Enrico Cerica)Path Tracing61.37456
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).