OctaneBench® 4.00 - 1x GTX 1070 Ti + 1x RTX 2060 SUPER     1 result

Maximum 355.95 Average 355.95
Minimum 355.95 Median 355.95

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1070 Ti1????
RTX 2060 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels3760.1037.58
Direct Lighting3590.40143.64
Path Tracing3490.50174.73
Total Score #2355.95
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels212.61413
Interior (by Julia Lynen)Direct Lighting73.74414
Interior (by Julia Lynen)Path Tracing31.98375
Idea (by Julio Cayetaño)Info Channels247.37288
Idea (by Julio Cayetaño)Direct Lighting69.17329
Idea (by Julio Cayetaño)Path Tracing62.25321
ATV (by Jürgen Aleksejev)Info Channels134.91430
ATV (by Jürgen Aleksejev)Direct Lighting52.28344
ATV (by Jürgen Aleksejev)Path Tracing43.64338
Box (by Enrico Cerica)Info Channels245.22373
Box (by Enrico Cerica)Direct Lighting48.42350
Box (by Enrico Cerica)Path Tracing49.00364
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).