OctaneBench® 4.00 - 1x GTX 1070 + 1x GTX 1070 Ti     15 results

Maximum 294.45 Average 278.57
Minimum 269.18 Median 277.54

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 107016.
GTX 1070 Ti1????

Kernel Score #2 Weight #3 Sub-total
Info Channels2940.1029.40
Direct Lighting2810.40112.28
Path Tracing2740.50136.89
Total Score #2278.57
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels162.55316
Interior (by Julia Lynen)Direct Lighting56.84319
Interior (by Julia Lynen)Path Tracing24.83291
Idea (by Julio Cayetaño)Info Channels199.88232
Idea (by Julio Cayetaño)Direct Lighting54.57259
Idea (by Julio Cayetaño)Path Tracing49.15254
ATV (by Jürgen Aleksejev)Info Channels102.47326
ATV (by Jürgen Aleksejev)Direct Lighting40.32265
ATV (by Jürgen Aleksejev)Path Tracing33.72261
Box (by Enrico Cerica)Info Channels198.32302
Box (by Enrico Cerica)Direct Lighting38.64279
Box (by Enrico Cerica)Path Tracing38.97290
These values are calculated from the averages of all submissions and may not be representative of actual performance.

Score Distribution


#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).