OctaneBench® 2020.1 - 1x GTX 980      37 results

Maximum 102.64 Average 93.87
Minimum 29.45 Median 91.65

GPU Model No. GPUs Compute
OctaneRender Support
2020 v4 v3 v2
GTX 980 1 5.2

Kernel Score #2 Weight #3 Sub-total
Info Channels 94 10 % 9.37
Direct Lighting 95 40 % 37.89
Path Tracing 93 50 % 46.60
Total Score #2 93.86
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen) Info Channels 52.99 103
Interior (by Julia Lynen) Direct Lighting 18.28 103
Interior (by Julia Lynen) Path Tracing 8.62 101
Idea (by Julio Cayetaño) Info Channels 56.13 65
Idea (by Julio Cayetaño) Direct Lighting 18.12 86
Idea (by Julio Cayetaño) Path Tracing 16.19 84
ATV (by Jürgen Aleksejev) Info Channels 38.16 122
ATV (by Jürgen Aleksejev) Direct Lighting 14.76 97
ATV (by Jürgen Aleksejev) Path Tracing 12.48 97
Box (by Enrico Cerica) Info Channels 55.85 85
Box (by Enrico Cerica) Direct Lighting 12.88 93
Box (by Enrico Cerica) Path Tracing 12.34 92
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).