OctaneBench® 4.00 - 1x Quadro M5000     4 results

Maximum 103.95 Average 98.76
Minimum 86.83 Median 86.83

GPU Model No. GPUs Compute
OctaneRender Support
v4 v3 v2
Quadro M500015.2 or 5.2
(varies by card)
View FAQ for more info.

Kernel Score #2 Weight #3 Sub-total
Info Channels1000.1010.01
Direct Lighting990.4039.55
Path Tracing980.5049.20
Total Score #298.76
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels55.37107
Interior (by Julia Lynen)Direct Lighting19.54110
Interior (by Julia Lynen)Path Tracing8.88104
Idea (by Julio Cayetaño)Info Channels67.0178
Idea (by Julio Cayetaño)Direct Lighting19.6293
Idea (by Julio Cayetaño)Path Tracing17.7692
ATV (by Jürgen Aleksejev)Info Channels35.73114
ATV (by Jürgen Aleksejev)Direct Lighting14.4395
ATV (by Jürgen Aleksejev)Path Tracing12.2695
Box (by Enrico Cerica)Info Channels66.48101
Box (by Enrico Cerica)Direct Lighting13.5298
Box (by Enrico Cerica)Path Tracing13.86103
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).