Shulou(Shulou.com)06/02 Report--

First of all, clarify the purpose of the test.

Recently, in checking the quality of the game, it is found that the fluency is relatively poor, and there are more stutters in the game.

First of all, we need to know where the performance bottleneck is, which is the purpose of this test.

Common game bottlenecks such as

CPU,GPU, memory, and Perfdog can easily get various data indicators; but first, make sure that the phone and computer are connected properly, for example, you can check whether the phone is connected to the computer through adb devices.

Like this:

Next, remember to set up the data you want to capture and click + in the lower right corner to check the action you want.

However, it should be noted that unless necessary, check the data to be captured according to your own needs. After all, each additional piece of data will affect some mobile phone performance, such as power, but do not worry about the impact on cpu, memory, gpu and so on. After all, perfdog is obtained for applications, not global data.

For specific usage, please refer to

Perfdog operation instructions

Of course, there are some specific indicators that represent the meaning, or you can find some descriptions here.

Perfdog support

Analysis of test report

This is the selected low-end model.

Here is the CPU data, which looks fine, not like a bottleneck.

This is memory data, memory has been rising, showing an upward trend, some danger, there may be memory leaks, and here the memory is PSS memory data, so memory usage is high, for phones with a total memory of 1.8 gigabytes, memory is already very high.

It can be regarded as a bottleneck.

This is GPU data, and as you can see, there is an obvious high consumption area.

To further judge, the temperature of CPu rises suddenly at this node. After all, GPU has already burst its watch.

Continue to follow up and locate the situation of the game at that time and find that you have just entered another map, so is it the problem with the map?

To check the time point of the reduction of GPU consumption in this section, we found that when entering map 3, GPU consumption decreased, synthesizing the above data, GPU consumption suddenly increased in map 2, so we concluded that map 2 was not optimized, maybe some art resources were not optimized, or there were any other coquettish operations in this map.

So there are two conclusions in this test.

1 the memory is too large, showing a rising trend, and there may be memory leaks

two。 Map 2 in the game has the problem of high GPU consumption, usually the map is not optimized, but there are other coquettish operations.

To sum up, we should first make clear our own goals in analyzing the report.

1. A general overview of the report analysis

two。 Compare the indicators of your products with the data item by item

For example, our Android memory indicator is

1-gear model index: highest PSS

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