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References: <202212051324.182a6363-yujie.liu@intel.com>
In-Reply-To: <202212051324.182a6363-yujie.liu@intel.com>
From:   Shakeel Butt <shakeelb@google.com>
Date:   Mon, 5 Dec 2022 09:18:28 -0800
Message-ID: <CALvZod4CD+O7-ynGAHU-6vxE6CbSmuQei1=SVJsx0zFfQdmV2g@mail.gmail.com>
Subject: Re: [linux-next:master] [mm] f1a7941243: unixbench.score -5.1% regression
To:     kernel test robot <yujie.liu@intel.com>
Cc:     oe-lkp@lists.linux.dev, lkp@intel.com,
        Andrew Morton <akpm@linux-foundation.org>,
        Marek Szyprowski <m.szyprowski@samsung.com>,
        Linux Memory Management List <linux-mm@kvack.org>,
        linux-kernel@vger.kernel.org, ying.huang@intel.com,
        feng.tang@intel.com, zhengjun.xing@linux.intel.com,
        fengwei.yin@intel.com
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On Sun, Dec 4, 2022 at 9:56 PM kernel test robot <yujie.liu@intel.com> wrot=
e:
>
> 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_resi=
dent_set_size
>   37236706            -5.1%   35324104        unixbench.time.minor_page_f=
aults

For above two, is negative change good or bad?

>       0.98 =C4=85 20%      +0.7        1.64 =C4=85 38%  perf-profile.call=
trace.cycles-pp.link_path_walk.path_openat.do_filp_open.do_sys_openat2.__x6=
4_sys_openat
>       2.12 =C4=85 19%      +0.8        2.96 =C4=85 13%  perf-profile.call=
trace.cycles-pp.handle_mm_fault.do_user_addr_fault.exc_page_fault.asm_exc_p=
age_fault
>       2.35 =C4=85 13%      +0.9        3.28 =C4=85 13%  perf-profile.call=
trace.cycles-pp.__handle_mm_fault.handle_mm_fault.do_user_addr_fault.exc_pa=
ge_fault.asm_exc_page_fault
>       0.14 =C4=85 74%      +0.4        0.55 =C4=85 32%  perf-profile.chil=
dren.cycles-pp.do_task_dead
>       0.04 =C4=85223%      +0.4        0.47 =C4=85 49%  perf-profile.chil=
dren.cycles-pp.__mmdrop

Also how should I interpret the above perf-profiles?