skpbench

skpbench is a benchmarking tool for replaying skp or mksp files on android devices. it achieves a lower variance in framerate by controlling the clock speed and stopping all other processes that could cause interference.

Build

skpbench consists of the skpbench binary which must be built for the phone you intend to run on, and skpbench.py which runs on the machine the phone is connected to via ADB and is the entry point.

The to build skia for android are at https://skia.org/user/build#android and reproduced here.

Download the Android NDK

./bin/fetch-sk
./bin/sk asset download android_ndk_linux /tmp/ndk

After this is set up once, build skpbench for your target cpu (assumed to be arm64 here for a Pixel 3)

bin/gn gen out/arm64 --args='ndk="/tmp/ndk" target_cpu="arm64" is_debug=false'
ninja -C out/arm64 skpbench

Benchmark an SKP on a connected device.

First, copy the built skpbench binary and an example skp file to the device. (or pull a skp corpus using instructions in the section below)

adb push out/arm64/skpbench /data/local/tmp
adb push /home/nifong/Downloads/foo.skp /data/local/tmp/skps/

Run skpbench.py

python tools/skpbench/skpbench.py \
  --adb \
  --config gles \
  /data/local/tmp/skpbench \
  /data/local/tmp/skps/foo.skp

--adb specifies that it should use adb to the only connected device and run skpbench there. --force is necessary because we don't yet have a configuration to monitor vitals on the Pixel 3. --config gles specifies Open GL ES is the backend GPU config to use.

Additional documentation of arguments is printed by python tools/skpbench/skpbench.py --help

Output appears in the following format

   accum    median       max       min   stddev  samples  sample_ms  clock  metric  config    bench
  0.1834    0.1832    0.1897    0.1707    1.59%      101         50  cpu    ms      gles      foo.skp

accum is the time taken to draw all frames, divided by the number of frames. metric specifies that the unit is ms (milliseconds per frame)

Production

skpbench is run as a tryjob from gerrit, where it uploads the results to perf.skia.org. Once such job name is Perf-Android-Clang-Pixel4XL-GPU-Adreno640-arm64-Release-All-Android_Skpbench

Perf results are available by querying with this or similar. extra_config = Android_Skpbench sub_result = accum_cpu_ms

Example perf query https://perf.skia.org/e/?queries=extra_config%3DAndroid_Skpbench%26sub_result%3Daccum_cpu_ms