OctaneBench® 2020.1 - 1x Tesla P6      2 results

Maximum 95.89 Average 95.43
Minimum 94.96 Median 95.89

GPU Model No. GPUs Compute
OctaneRender Support
2020 v4 v3 v2
Tesla P6 1 6.1 3.03.2 2.26

Kernel Score #2 Weight #3 Sub-total
Info Channels 101 10 % 10.10
Direct Lighting 97 40 % 38.60
Path Tracing 93 50 % 46.74
Total Score #2 95.44
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen) Info Channels 58.05 113
Interior (by Julia Lynen) Direct Lighting 19.16 108
Interior (by Julia Lynen) Path Tracing 8.79 103
Idea (by Julio Cayetaño) Info Channels 59.98 70
Idea (by Julio Cayetaño) Direct Lighting 18.41 87
Idea (by Julio Cayetaño) Path Tracing 16.26 84
ATV (by Jürgen Aleksejev) Info Channels 41.24 131
ATV (by Jürgen Aleksejev) Direct Lighting 14.84 98
ATV (by Jürgen Aleksejev) Path Tracing 12.44 96
Box (by Enrico Cerica) Info Channels 59.41 90
Box (by Enrico Cerica) Direct Lighting 12.92 93
Box (by Enrico Cerica) Path Tracing 12.21 91
These values are calculated from the averages of all submissions and may not be representative of actual performance.

2 results

#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).