OctaneBench® 2020.1 - 4x GTX 970      2 results

Maximum 296.92 Average 245.49
Minimum 194.06 Median 194.06

GPU Model No. GPUs Compute
OctaneRender Support
2020 v4 v3 v2
GTX 970 4 5.2

Kernel Score #2 Weight #3 Sub-total
Info Channels 240 10 % 24.04
Direct Lighting 251 40 % 100.29
Path Tracing 242 50 % 121.19
Total Score #2 245.52
Scene Kernel Ms/s #4 Score #2
Interior (by Julia Lynen) Info Channels 143.63 279
Interior (by Julia Lynen) Direct Lighting 50.93 286
Interior (by Julia Lynen) Path Tracing 22.77 267
Idea (by Julio Cayetaño) Info Channels 148.25 172
Idea (by Julio Cayetaño) Direct Lighting 47.74 227
Idea (by Julio Cayetaño) Path Tracing 41.79 216
ATV (by Jürgen Aleksejev) Info Channels 92.51 295
ATV (by Jürgen Aleksejev) Direct Lighting 37.75 248
ATV (by Jürgen Aleksejev) Path Tracing 32.32 250
Box (by Enrico Cerica) Info Channels 141.80 216
Box (by Enrico Cerica) Direct Lighting 33.47 242
Box (by Enrico Cerica) Path Tracing 31.89 237
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 for good render performance.

Please note that cards must have a score of 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).