OctaneBench® 4.00 - 1x GTX 1050 Ti + 1x RTX 2070 SUPER     1 result

Maximum 273.01 Average 273.01
Minimum 273.01 Median 273.01

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
GTX 1050 Ti1????
RTX 2070 SUPER1????

Kernel Score #2 Weight #3 Sub-total
Info Channels2920.1029.19
Direct Lighting2740.40109.58
Path Tracing2680.50134.25
Total Score #2273.01
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels164.62320
Interior (by Julia Lynen)Direct Lighting55.85314
Interior (by Julia Lynen)Path Tracing24.95292
Idea (by Julio Cayetaño)Info Channels190.73222
Idea (by Julio Cayetaño)Direct Lighting53.42254
Idea (by Julio Cayetaño)Path Tracing48.05248
ATV (by Jürgen Aleksejev)Info Channels106.31339
ATV (by Jürgen Aleksejev)Direct Lighting40.13264
ATV (by Jürgen Aleksejev)Path Tracing34.13264
Box (by Enrico Cerica)Info Channels189.16288
Box (by Enrico Cerica)Direct Lighting36.59264
Box (by Enrico Cerica)Path Tracing36.28270
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).