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Message-ID: <CAKfTPtB-+DeZQyLNRQjvCyM2KjDK2cLpM29UmW++oe=Tcu5AoA@mail.gmail.com>
Date: Fri, 21 Nov 2025 18:58:32 +0100
From: Vincent Guittot <vincent.guittot@...aro.org>
To: Christian Loehle <christian.loehle@....com>
Cc: Yu-Che Cheng <giver@...omium.org>, Sergey Senozhatsky <senozhatsky@...omium.org>,
"Rafael J. Wysocki" <rafael@...nel.org>, Viresh Kumar <viresh.kumar@...aro.org>,
Greg Kroah-Hartman <gregkh@...uxfoundation.org>, Tomasz Figa <tfiga@...omium.org>, stable@...r.kernel.org,
linux-pm@...r.kernel.org, linux-kernel@...r.kernel.org,
Lukasz Luba <lukasz.luba@....com>, Dietmar Eggemann <dietmar.eggemann@....com>
Subject: Re: stable 6.6: commit "sched/cpufreq: Rework schedutil governor
performance estimation' causes a regression
On Fri, 21 Nov 2025 at 17:35, Christian Loehle <christian.loehle@....com> wrote:
>
> On 11/21/25 15:37, Yu-Che Cheng wrote:
> > Hi Vincent,
> >
> > On Fri, Nov 21, 2025 at 10:00 PM Vincent Guittot <vincent.guittot@...aro.org>
> > wrote:
> >>
> >> On Fri, 21 Nov 2025 at 04:55, Sergey Senozhatsky
> >> <senozhatsky@...omium.org> wrote:
> >>>
> >>> Hi Christian,
> >>>
> >>> On (25/11/20 10:15), Christian Loehle wrote:
> >>>> On 11/20/25 04:45, Sergey Senozhatsky wrote:
> >>>>> Hi,
> >>>>>
> >>>>> We are observing a performance regression on one of our arm64
> > boards.
> >>>>> We tracked it down to the linux-6.6.y commit ada8d7fa0ad4
> > ("sched/cpufreq:
> >>
> >> You mentioned that you tracked down to linux-6.6.y but which kernel
> >> are you using ?
> >>
> >
> > We're using ChromeOS 6.6 kernel, which is currently on top of linux-v6.6.99.
> > But we've tested that the performance regression still happens on exactly
> > the same scheduler codes (`kernel/sched`) as upstream v6.6.99, compared to
> > those on v6.6.88.
> >
> >>>>> Rework schedutil governor performance estimation").
> >>>>>
> >>>>> UI speedometer benchmark:
> >>>>> w/commit: 395 +/-38
> >>>>> w/o commit: 439 +/-14
> >>>>>
> >>>>
> >>>> Hi Sergey,
> >>>> Would be nice to get some details. What board?
> >>>
> >>> It's an MT8196 chromebook.
> >>>
> >>>> What do the OPPs look like?
> >>>
> >>> How do I find that out?
> >>
> >> In /sys/kernel/debug/opp/cpu*/
> >> or
> >> /sys/devices/system/cpu/cpufreq/policy*/scaling_available_frequencies
> >> with related_cpus
> >>
> >
> > The energy model on the device is:
> >
> > CPU0-3:
> > +------------+------------+
> > | freq (khz) | power (uw) |
> > +============+============+
> > | 339000 | 34362 |
> > | 400000 | 42099 |
> > | 500000 | 52907 |
> > | 600000 | 63795 |
> > | 700000 | 74747 |
> > | 800000 | 88445 |
> > | 900000 | 101444 |
> > | 1000000 | 120377 |
> > | 1100000 | 136859 |
> > | 1200000 | 154162 |
> > | 1300000 | 174843 |
> > | 1400000 | 196833 |
> > | 1500000 | 217052 |
> > | 1600000 | 247844 |
> > | 1700000 | 281464 |
> > | 1800000 | 321764 |
> > | 1900000 | 352114 |
> > | 2000000 | 383791 |
> > | 2100000 | 421809 |
> > | 2200000 | 461767 |
> > | 2300000 | 503648 |
> > | 2400000 | 540731 |
> > +------------+------------+
> >
> > CPU4-6:
> > +------------+------------+
> > | freq (khz) | power (uw) |
> > +============+============+
> > | 622000 | 131738 |
> > | 700000 | 147102 |
> > | 800000 | 172219 |
> > | 900000 | 205455 |
> > | 1000000 | 233632 |
> > | 1100000 | 254313 |
> > | 1200000 | 288843 |
> > | 1300000 | 330863 |
> > | 1400000 | 358947 |
> > | 1500000 | 400589 |
> > | 1600000 | 444247 |
> > | 1700000 | 497941 |
> > | 1800000 | 539959 |
> > | 1900000 | 584011 |
> > | 2000000 | 657172 |
> > | 2100000 | 746489 |
> > | 2200000 | 822854 |
> > | 2300000 | 904913 |
> > | 2400000 | 1006581 |
> > | 2500000 | 1115458 |
> > | 2600000 | 1205167 |
> > | 2700000 | 1330751 |
> > | 2800000 | 1450661 |
> > | 2900000 | 1596740 |
> > | 3000000 | 1736568 |
> > | 3100000 | 1887001 |
> > | 3200000 | 2048877 |
> > | 3300000 | 2201141 |
> > +------------+------------+
> >
> > CPU7:
> >
> > +------------+------------+
> > | freq (khz) | power (uw) |
> > +============+============+
> > | 798000 | 320028 |
> > | 900000 | 330714 |
> > | 1000000 | 358108 |
> > | 1100000 | 384730 |
> > | 1200000 | 410669 |
> > | 1300000 | 438355 |
> > | 1400000 | 469865 |
> > | 1500000 | 502740 |
> > | 1600000 | 531645 |
> > | 1700000 | 560380 |
> > | 1800000 | 588902 |
> > | 1900000 | 617278 |
> > | 2000000 | 645584 |
> > | 2100000 | 698653 |
> > | 2200000 | 744179 |
> > | 2300000 | 810471 |
> > | 2400000 | 895816 |
> > | 2500000 | 985234 |
> > | 2600000 | 1097802 |
> > | 2700000 | 1201162 |
> > | 2800000 | 1332076 |
> > | 2900000 | 1439847 |
> > | 3000000 | 1575917 |
> > | 3100000 | 1741987 |
> > | 3200000 | 1877346 |
> > | 3300000 | 2161512 |
> > | 3400000 | 2437879 |
> > | 3500000 | 2933742 |
> > | 3600000 | 3322959 |
> > | 3626000 | 3486345 |
> > +------------+------------+
> >
> >>>
> >>>> Does this system use uclamp during the benchmark? How?
> >>>
> >>> How do I find that out?
> >>
> >> it can be set per cgroup
> >> /sys/fs/cgroup/system.slice/<name>/cpu.uclam.min|max
> >> or per task with sched_setattr()
> >>
> >> You most probably use it because it's the main reason for ada8d7fa0ad4
> >> to remove wrong overestimate of OPP
> >>
> >
> > For the speedometer case, yes, we set the uclamp.min to 20 for the whole
> > browser and UI (chrome).
> > There's no system-wide uclamp settings though.
>
> (From Sergey's traces)
> Per-cluster time‑weighted average frequency base => revert:
> little (cpu0–3, max 2.4 GHz): 0.746 GHz => 1.132 GHz (+51.6%)
> mid (cpu4–6, max 3.3 GHz): 1.043 GHz => 1.303 GHz (+24.9%)
> big (cpu7, max 3.626 GHz): 2.563 GHz => 3.116 GHz (+21.6%)
>
> And in particular time spent at OPPs (base => revert):
> Big core at upper 10%: 29.6% => 61.5%
> little cluster at 339 MHz: 50.1% => 1.0%
>
> Interesting that a uclamp.min of 20 (which shouldn't really have
> much affect on big CPU at all, with or without headroom AFAICS?)
> makes such a big difference here?
Yu-che, could you give us the capacity-dmips-mhz of each cpu (it's in the DT) ?
it could be that :
the diff for big 21%
the diff for mid (24% * mid capacity ratio) ~ 20%
and probably for Little too (51% * little capacity ratio) ~ 20%
The patch fixes a problem that sometime the min clamping was wrongly
added to the utilization
>
> >
> > But we also found other performance regressions in an Android guest VM,
> > where there's no uclamp for the VM and vCPU processes from the host side.
> > Particularly, the RAR extraction throughput reduces about 20% in the RAR
> > app (from RARLAB).
> > Although it's hard to tell if this is some sort of a side-effect of the UI
> > regression as the UI is also running at the same time.
> >
> I'd be inclined to say that is because of the vastly different DVFS from the
> UI workload, yes.
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