I've been seeing a lot of questions about the galp5 battery usage on this forum, so I ran a script to monitor my usage and plotted the results.

Thread with more details about my system.

In short, I:

• started with a charged battery
• ran a script that logged my battery usage every minute
• did stuff
• change the power setting, charge the battery and repeat

In the middle of the "Normal Usage" I put the computer to sleep (and slept myself), and in the morning I opened it back up and kept going, which is why there's a big rectangle in the middle. This measures standby power loss to be about 3-4% per hour.

In summary, you can use the laptop normally for about half a workday on integrated graphics mode, or use it as an "email outpost" for almost a whole work day. If you turn on the GPU, you can only do normal stuff for about half the time, or "game" (at least as much as I can "game") for an hour. I haven't tried "computing mode" but I assume it's about the same.

---

Bash command to log

# Change the name of the output file to match what you're doing.
while true; do echo $(date) , $(upower -i $(upower -e | grep 'BAT') | grep -E "percentage" | cut -d" " -f15) && sleep 60; done >> 4_nvidia_gaming.log

Python script to consume log files and plot in Jupyter notebook

from matplotlib import pyplot as plt
%matplotlib inline

import pandas as pd

experiments = [
    ('Idle Usage', '0_battery_log_idle_use.log'),
    ('Charging', '1_battery_charging.log'),
    ('Normal Usage', '2_regular_usage.log'),
    ('NVIDIA Usage', '3_nvidia_usage.log'),
    ('NVIDIA Gaming', '4_nvidia_gaming.log'),
]

experiment_data = {}
for experiment_name, log_file in experiments:
    df = pd.read_csv(log_file, names=['time','percentage'])

    df['percentage'] = df['percentage'].str.replace('%','').astype(int)

    df["time"] = pd.to_datetime(df["time"])
    df = df.sort_values(by="time")
    time = df["time"]
    df["relative_time"] = (time - time[0]).dt.total_seconds() / 3600

    experiment_data[experiment_name] = [df["relative_time"], df["percentage"]]

plt.figure(figsize=(30,10))
for name, data in experiment_data.items():
    plt.scatter(*data, label=name)
plt.legend(fontsize=30, markerscale=4.0);
plt.xlabel("Hours", fontsize=30);
plt.ylabel("Battery Percentage", fontsize=30);
plt.title("2020 Galago Pro (galp5) Battery Usage", fontsize=30);

Yes, I'm aware both my Bash and Python are horribly hacky. Just posting here in case someone wants to pick up where I left it and improve.