OctaneBench® 4.00 - 1x GTX 1070     299 results



Maximum 155.38 Average 132.29
Minimum 44.39 Median 134.04

GPU Model No. GPUs Compute
Capability
OctaneRender Support
v4 v3 v2
GTX 107016.13.03.22.26

Kernel Score #2 Weight #3 Sub-total
Info Channels1400.1013.99
Direct Lighting1330.4053.30
Path Tracing1300.5065.00
 
Total Score #2132.29
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels77.15150
Interior (by Julia Lynen)Direct Lighting27.03152
Interior (by Julia Lynen)Path Tracing11.82138
Idea (by Julio Cayetaño)Info Channels95.70111
Idea (by Julio Cayetaño)Direct Lighting26.03124
Idea (by Julio Cayetaño)Path Tracing23.37121
ATV (by Jürgen Aleksejev)Info Channels48.91156
ATV (by Jürgen Aleksejev)Direct Lighting19.11126
ATV (by Jürgen Aleksejev)Path Tracing16.05124
Box (by Enrico Cerica)Info Channels93.81143
Box (by Enrico Cerica)Direct Lighting18.25132
Box (by Enrico Cerica)Path Tracing18.39137
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).