linux-kernel - Re: [linux-next:master] [mm] f1a7941243: unixbench.score -5.1% regression

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Message-ID: <CALvZod4CD+O7-ynGAHU-6vxE6CbSmuQei1=SVJsx0zFfQdmV2g@mail.gmail.com>
Date:   Mon, 5 Dec 2022 09:18:28 -0800
From:   Shakeel Butt <shakeelb@...gle.com>
To:     kernel test robot <yujie.liu@...el.com>
Cc:     oe-lkp@...ts.linux.dev, lkp@...el.com,
        Andrew Morton <akpm@...ux-foundation.org>,
        Marek Szyprowski <m.szyprowski@...sung.com>,
        Linux Memory Management List <linux-mm@...ck.org>,
        linux-kernel@...r.kernel.org, ying.huang@...el.com,
        feng.tang@...el.com, zhengjun.xing@...ux.intel.com,
        fengwei.yin@...el.com
Subject: Re: [linux-next:master] [mm] f1a7941243: unixbench.score -5.1% regression

On Sun, Dec 4, 2022 at 9:56 PM kernel test robot <yujie.liu@...el.com> wrote:
>
> Greeting,
>
> FYI, we noticed a -5.1% regression of unixbench.score due to commit:
>
[...]
> 9cd6ffa60256e931 f1a7941243c102a44e8847e3b94
> ---------------- ---------------------------
>          %stddev     %change         %stddev
>              \          |                \
>       7917            -5.1%       7509        unixbench.score

What is unixbench.score?

>      10485           -12.1%       9216        unixbench.time.maximum_resident_set_size
>   37236706            -5.1%   35324104        unixbench.time.minor_page_faults

For above two, is negative change good or bad?

>       0.98 ą 20%      +0.7        1.64 ą 38%  perf-profile.calltrace.cycles-pp.link_path_walk.path_openat.do_filp_open.do_sys_openat2.__x64_sys_openat
>       2.12 ą 19%      +0.8        2.96 ą 13%  perf-profile.calltrace.cycles-pp.handle_mm_fault.do_user_addr_fault.exc_page_fault.asm_exc_page_fault
>       2.35 ą 13%      +0.9        3.28 ą 13%  perf-profile.calltrace.cycles-pp.__handle_mm_fault.handle_mm_fault.do_user_addr_fault.exc_page_fault.asm_exc_page_fault
>       0.14 ą 74%      +0.4        0.55 ą 32%  perf-profile.children.cycles-pp.do_task_dead
>       0.04 ą223%      +0.4        0.47 ą 49%  perf-profile.children.cycles-pp.__mmdrop

Also how should I interpret the above perf-profiles?