OctaneBench® 4.00 - 1x Quadro P620 + 1x Quadro RTX 4000     1 result

Maximum 220.54 Average 220.54
Minimum 220.54 Median 220.54

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Quadro P62016.
Quadro RTX 400017.53.08X

Kernel Score #2 Weight #3 Sub-total
Info Channels2290.1022.90
Direct Lighting2230.4089.23
Path Tracing2170.50108.42
Total Score #2220.54
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels136.22264
Interior (by Julia Lynen)Direct Lighting46.79263
Interior (by Julia Lynen)Path Tracing20.20237
Idea (by Julio Cayetaño)Info Channels146.15170
Idea (by Julio Cayetaño)Direct Lighting43.37206
Idea (by Julio Cayetaño)Path Tracing38.55199
ATV (by Jürgen Aleksejev)Info Channels83.12265
ATV (by Jürgen Aleksejev)Direct Lighting32.34213
ATV (by Jürgen Aleksejev)Path Tracing27.33212
Box (by Enrico Cerica)Info Channels142.46217
Box (by Enrico Cerica)Direct Lighting29.17211
Box (by Enrico Cerica)Path Tracing29.65220
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).