OctaneBench® 4.00 - 1x Tesla M60     9 results

Maximum 96.25 Average 91.44
Minimum 79.17 Median 80.44


This result includes a Multi-GPU Video Card.

GPU Model No. GPUs No. Cards
OctaneRender Support
v4 v3 v2
Tesla M6010.55.2

Kernel Score #2 Weight #3 Sub-total
Info Channels970.109.69
Direct Lighting910.4036.36
Path Tracing910.5045.39
Total Score #291.44
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen)Info Channels53.06103
Interior (by Julia Lynen)Direct Lighting17.86100
Interior (by Julia Lynen)Path Tracing8.2597
Idea (by Julio Cayetaño)Info Channels64.9676
Idea (by Julio Cayetaño)Direct Lighting17.8685
Idea (by Julio Cayetaño)Path Tracing16.2284
ATV (by Jürgen Aleksejev)Info Channels34.71111
ATV (by Jürgen Aleksejev)Direct Lighting13.5089
ATV (by Jürgen Aleksejev)Path Tracing11.4689
Box (by Enrico Cerica)Info Channels64.6898
Box (by Enrico Cerica)Direct Lighting12.4290
Box (by Enrico Cerica)Path Tracing12.6694
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).