Linux Benchmarking HOWTO
 by Andr D. Balsa, [email protected]  <mailto:andrew-
 [email protected]>
 v0.12, 15 August 1997

 The Linux Benchmarking HOWTO discusses some issues associated with the
 benchmarking of Linux systems and presents a basic benchmarking
 toolkit, as well as an associated form, which enable one to produce
 significant benchmarking information in a couple of hours. Perhaps it
 will also help diminish the amount of useless articles in
 comp.os.linux.hardware...
 ______________________________________________________________________

 Table of Contents


 1. Introduction

    1.1 Why is benchmarking so important ?
    1.2 Invalid benchmarking considerations

 2. Benchmarking procedures and interpretation of results

    2.1 Understanding benchmarking choices
       2.1.1 Synthetic vs. applications benchmarks
       2.1.2 High-level vs. low-level benchmarks
    2.2 Standard benchmarks available for Linux
    2.3 Links and references

 3. The Linux Benchmarking Toolkit (LBT)

    3.1 Rationale
    3.2 Benchmark selection
    3.3 Test duration
    3.4 Comments
       3.4.1 Kernel 2.0.0 compilation:
       3.4.2 Whetstone:
       3.4.3 Xbench-0.2:
       3.4.4 UnixBench version 4.01:
       3.4.5 BYTE Magazine's BYTEmark benchmarks:
    3.5 Possible improvements
    3.6 LBT Report Form
    3.7 Network performance tests
    3.8 SMP tests

 4. Example run and results

 5. Pitfalls and caveats of benchmarking

    5.1 Comparing apples and oranges
    5.2 Incomplete information
    5.3 Proprietary hardware/software
    5.4 Relevance

 6. FAQ

 7. Copyright, acknowledgments and miscellaneous

    7.1 How this document was produced
    7.2 Copyright
    7.3 New versions of this document
    7.4 Feedback
    7.5 Acknowledgments
    7.6 Disclaimer
    7.7 Trademarks

 ______________________________________________________________________

 1.  Introduction


 "What we cannot speak about we must pass over in silence."

      Ludwig Wittgenstein (1889-1951), Austrian philosopher


 Benchmarking means measuring the speed with which a computer system
 will execute a computing task, in a way that will allow comparison
 between different hard/software combinations. It does not involve
 user-friendliness, aesthetic or ergonomic considerations or any other
 subjective judgment.

 Benchmarking is a tedious, repetitive task, and takes attention to
 details. Very often the results are not what one would expect, and
 subject to interpretation (which actually may be the most important
 part of a benchmarking procedure).

 Finally, benchmarking deals with facts and figures, not opinion or
 approximation.

 1.1.  Why is benchmarking so important ?


 Apart from the reasons pointed out in the BogoMips Mini-HOWTO (section
 7, paragraph 2), one occasionally is confronted with a limited budget
 and/or minimum performance requirements while putting together a Linux
 box. In other words, when confronted with the following questions:

 o  How do I maximize performance within a given budget ?

 o  How do I minimize costs for a required minimum performance level ?

 o  How do I obtain the best performance/cost ratio (within a given
    budget or given performance requirements)?

 one will have to examine, compare and/or produce benchmarks.
 Minimizing costs with no performance requirements usually involves
 putting together a machine with leftover parts (that old 386SX-16 box
 lying around in the garage will do fine) and does not require
 benchmarks, and maximizing performance with no cost ceiling is not a
 realistic situation (unless one is willing to put a Cray box in
 his/her living room - the leather-covered power supplies around it
 look nice, don't they ?).

 Benchmarking per se is senseless, a waste of time and money; it is
 only meaningful as part of a decision process, i.e. if one has to make
 a choice between two or more alternatives.

 Usually another parameter in the decision process is cost, but it
 could be availability, service, reliability, strategic considerations
 or any other rational, measurable characteristic of a computer system.
 When comparing the performance of different Linux kernel versions, for
 example, stability is almost always more important than speed.

 1.2.  Invalid benchmarking considerations


 Very often read in newsgroups and mailing lists, unfortunately:

 1. Reputation of manufacturer (unmeasurable and meaningless).


 2. Market share of manufacturer (meaningless and irrelevant).

 3. Irrational parameters (for example, superstition or prejudice:
    would you buy a processor labeled 131313ZAP and painted pink ?)

 4. Perceived value (meaningless, unmeasurable and irrational).

 5. Amount of marketing hype: this one is the worst, I guess. I
    personally am fed up with the "XXX inside" or "kkkkkws compatible"
    logos (now the "aaaaaPowered" has joined the band - what next ?).
    IMHO, the billions of dollars spent on such campaigns would be
    better used by research teams on the design of new, faster,
    (cheaper :-) bug-free processors. No amount of marketing hype will
    remove a floating-point bug in the FPU of the brand-new processor
    you just plugged in your motherboard, but an exchange against a
    redesigned processor will.

 6. "You get what you pay for" opinions are just that: opinions. Give
    me the facts, please.

 2.  Benchmarking procedures and interpretation of results


 A few semi-obvious recommendations:

 1. First and foremost, identify your benchmarking goals. What is it
    you are exactly trying to benchmark ? In what way will the
    benchmarking process help later in your decision making ? How much
    time and resources are you willing to put into your benchmarking
    effort ?

 2. Use standard tools. Use a current, stable kernel version, standard,
    current gcc and libc and a standard benchmark. In short, use the
    LBT (see below).

 3. Give a complete description of your setup (see the LBT report form
    below).

 4. Try to isolate a single variable. Comparative benchmarking is more
    informative than "absolute" benchmarking. I cannot stress this
    enough.

 5. Verify your results. Run your benchmarks a few times and verify the
    variations in your results, if any. Unexplained variations will
    invalidate your results.

 6. If you think your benchmarking effort produced meaningful
    information, share it with the Linux community in a precise and
    concise way.

 7. Please forget about BogoMips. I promise myself I shall someday
    implement a very fast ASIC with the BogoMips loop wired in. Then we
    shall see what we shall see !

 2.1.  Understanding benchmarking choices


 2.1.1.  Synthetic vs. applications benchmarks


 Before spending any amount of time on benchmarking chores, a basic
 choice must be made between "synthetic" benchmarks and "applications"
 benchmarks.

 Synthetic benchmarks are specifically designed to measure the
 performance of individual components of a computer system, usually by
 exercising the chosen component to its maximum capacity. An example of
 a well-known synthetic benchmark is the Whetstone suite, originally
 programmed in 1972 by Harold Curnow in FORTRAN (or was that ALGOL ?)
 and still in widespread use nowadays. The Whestone suite will measure
 the floating-point performance of a CPU.

 The main critic that can be made to synthetic benchmarks is that they
 do not represent a computer system's performance in real-life
 situations. Take for example the Whetstone suite: the main loop is
 very short and will easily fit in the primary cache of a CPU, keeping
 the FPU pipeline constantly filled and so exercising the FPU to its
 maximum speed. We cannot really criticize the Whetstone suite if we
 remember it was programmed 25 years ago (its design dates even earlier
 than that !), but we must make sure we interpret its results with
 care, when it comes to benchmarking modern microprocessors.

 Another very important point to note about synthetic benchmarks is
 that, ideally, they should tell us something about a specific aspect
 of the system being tested, independently of all other aspects: a
 synthetic benchmark for Ethernet card I/O throughput should result in
 the same or similar figures whether it is run on a 386SX-16 with 4
 MBytes of RAM or a Pentium 200 MMX with 64 MBytes of RAM. Otherwise,
 the test will be measuring the overall performance of the
 CPU/Motherboard/Bus/Ethernet card/Memory subsystem/DMA combination:
 not very useful since the variation in CPU will cause a greater impact
 than the change in Ethernet network card (this of course assumes we
 are using the same kernel/driver combination, which could cause an
 even greater variation)!

 Finally, a very common mistake is to average various synthetic
 benchmarks and claim that such an average is a good representation of
 real-life performance for any given system.

 Here is a comment on FPU benchmarks quoted with permission from the
 Cyrix Corp. Web site:

      "A Floating Point Unit (FPU) accelerates software designed
      to use floating point mathematics : typically CAD programs,
      spreadsheets, 3D games and design applications. However,
      today's most popular PC applications make use of both float-
      ing point and integer instructions. As a result, Cyrix chose
      to emphasize "parallelism" in the design of the 6x86 proces-
      sor to speed up software that intermixes these two instruc-
      tion types.



      The x86 floating point exception model allows integer
      instructions to issue and complete while a floating point
      instruction is executing. In contrast, a second floating
      point instruction cannot begin execution while a previous
      floating point instruction is executing. To remove the per-
      formance limitation created by the floating point exception
      model, the 6x86 can speculatively issue up to four floating
      point instructions to the on-chip FPU while continuing to
      issue and execute integer instructions. As an example, in a
      code sequence of two floating point instructions (FLTs) fol-
      lowed by six integer instructions (INTs) followed by two
      FLTs, the 6x86 processor can issue all ten instructions to
      the appropriate execution units prior to completion of the
      first FLT. If none of the instructions fault (the typical
      case), execution continues with both the integer and float-
      ing point units completing instructions in parallel. If one
      of the FLTs faults (the atypical case), the speculative exe-
      cution capability of the 6x86 allows the processor state to
      be restored in such a way that it is compatible with the x86
 floating point exception model.



      Examination of benchmark tests reveals that synthetic float-
      ing point benchmarks use a pure floating point-only code
      stream not found in real-world applications. This type of
      benchmark does not take advantage of the speculative execu-
      tion capability of the 6x86 processor. Cyrix believes that
      non-synthetic benchmarks based on real-world applications
      better reflect the actual performance users will achieve.
      Real-world applications contain intermixed integer and
      floating point instructions and therefore benefit from the
      6x86 speculative execution capability."


 So, the recent trend in benchmarking is to choose common applications
 and use them to test the performance of complete computer systems. For
 example, SPEC, the non-profit corporation that designed the well-known
 SPECINT and SPECFP synthetic benchmark suites, has launched a project
 for a new applications benchmark suite. But then again, it is very
 unlikely that such commercial benchmarks will ever include any Linux
 code.

 Summarizing, synthetic benchmarks are valid as long as you understand
 their purposes and limitations. Applications benchmarks will better
 reflect a computer system's performance, but none are available for
 Linux.

 2.1.2.  High-level vs. low-level benchmarks


 Low-level benchmarks will directly measure the performance of the
 hardware: CPU clock, DRAM and cache SRAM cycle times, hard disk
 average access time, latency, track-to-track stepping time, etc...
 This can be useful in case you bought a system and are wondering what
 components it was built with, but a better way to check these figures
 would be to open the case, list whatever part numbers you can find and
 somehow obtain the data sheet for each part (usually on the Web).

 Another use for low-level benchmarks is to check that a kernel driver
 was correctly configured for a specific piece of hardware: if you have
 the data sheet for the component, you can compare the results of the
 low-level benchmarks to the theoretical, printed specs.

 High-level benchmarks are more concerned with the performance of the
 hardware/driver/OS combination for a specific aspect of a
 microcomputer system, for example file I/O performance, or even for a
 specific hardware/driver/OS/application performance, e.g. an Apache
 benchmark on different microcomputer systems.

 Of course, all low-level benchmarks are synthetic. High-level
 benchmarks may be synthetic or applications benchmarks.

 2.2.  Standard benchmarks available for Linux


 IMHO a simple test that anyone can do while upgrading any component in
 his/her Linux box is to launch a kernel compile before and after the
 hard/software upgrade and compare compilation times. If all other
 conditions are kept equal then the test is valid as a measure of
 compilation performance and one can be confident to say that:

      "Changing A to B led to an improvement of x % in the compile
      time of the Linux kernel under such and such conditions".

 No more, no less !

 Since kernel compilation is a very usual task under Linux, and since
 it exercises most functions that get exercised by normal benchmarks
 (except floating-point performance), it constitutes a rather good
 individual test. In most cases, however, results from such a test
 cannot be reproduced by other Linux users because of variations in
 hard/software configurations and so this kind of test cannot be used
 as a "yardstick" to compare dissimilar systems (unless we all agree on
 a standard kernel to compile - see below).

 Unfortunately, there are no Linux-specific benchmarking tools, except
 perhaps the Byte Linux Benchmarks which are a slightly modified
 version of the Byte Unix Benchmarks dating back from May 1991 (Linux
 mods by Jon Tombs, original authors Ben Smith, Rick Grehan and Tom
 Yager).

 There is a central Web site for the Byte Linux Benchmarks.

 An improved, updated version of the Byte Unix Benchmarks was put
 together by David C. Niemi. It is called UnixBench 4.01 to avoid
 confusion with earlier versions. Here is what David wrote about his
 mods:

      "The original and slightly modified BYTE Unix benchmarks are
      broken in quite a number of ways which make them an unusu-
      ally unreliable indicator of system performance. I inten-
      tionally made my "index" values look a lot different to
      avoid confusion with the old benchmarks."


 David has setup a majordomo mailing list for discussion of
 benchmarking on Linux and competing OSs. Join with "subscribe bench"
 sent in the body of a message to [email protected]
 <mailto:[email protected]>. The Washington Area Unix User
 Group is also in the process of setting up a  Web site for Linux
 benchmarks.

 Also recently, Uwe F. Mayer, [email protected]
 <mailto:[email protected]>ported the BYTE Bytemark suite to
 Linux. This is a modern suite carefully put together by Rick Grehan at
 BYTE Magazine to test the CPU, FPU and memory system performance of
 modern microcomputer systems (these are strictly processor-performance
 oriented benchmarks, no I/O or system performance is taken into
 account).

 Uwe has also put together a Web site with a database of test results
 for his version of the Linux BYTEmark benchmarks.

 While searching for synthetic benchmarks for Linux, you will notice
 that sunsite.unc.edu carries few benchmarking tools. To test the
 relative speed of X servers and graphics cards, the xbench-0.2 suite
 by Claus Gittinger is available from sunsite.unc.edu, ftp.x.org and
 other sites. Xfree86.org refuses (wisely) to carry or recommend any
 benchmarks.

 The XFree86-benchmarks Survey is a Web site with a database of x-bench
 results.

 For pure disk I/O throughput, the hdparm program (included with most
 distributions, otherwise available from sunsite.unc.edu) will measure
 transfer rates if called with the -t and -T switches.

 There are many other tools freely available on the Internet to test
 various performance aspects of your Linux box.

 2.3.  Links and references


 The comp.benchmarks.faq by Dave Sill is the standard reference for
 benchmarking. It is not Linux specific, but recommended reading for
 anybody serious about benchmarking. It is available from a number of
 FTP and web sites and lists 56 different benchmarks, with links to FTP
 or Web sites that carry them. Some of the benchmarks listed are
 commercial (SPEC for example), though.

 I will not go through each one of the benchmarks mentionned in the
 comp.benchmarks.faq, but there is at least one low-level suite which I
 would like to comment on: the  lmbench suite, by Larry McVoy. Quoting
 David C. Niemi:

      "Linus and David Miller use this a lot because it does some
      useful low-level measurements and can also measure network
      throughput and latency if you have 2 boxes to test with. But
      it does not attempt to come up with anything like an overall
      "figure of merit"..."


 A rather complete FTP site for freely available benchmarks was put
 together by Alfred Aburto. The Whetstone suite used in the LBT can be
 found at this site.

 There is a multipart FAQ by Eugene Miya that gets posted regularly to
 comp.benchmarks; it is an excellent reference.

 3.  The Linux Benchmarking Toolkit (LBT)


 I will propose a basic benchmarking toolkit for Linux. This is a
 preliminary version of a comprehensive Linux Benchmarking Toolkit, to
 be expanded and improved. Take it for what it's worth, i.e. as a
 proposal. If you don't think it is a valid test suite, feel free to
 email me your critics and I will be glad to make the changes and
 improve it if I can. Before getting into an argument, however, read
 this HOWTO and the mentionned references: informed criticism is
 welcomed, empty criticism is not.

 3.1.  Rationale


 This is just common sense:

 1. It should not take a whole day to run. When it comes to comparative
    benchmarking (various runs), nobody wants to spend days trying to
    figure out the fastest setup for a given system. Ideally, the
    entire benchmark set should take about 15 minutes to complete on an
    average machine.

 2. All source code for the software used must be freely available on
    the Net, for obvious reasons.

 3. Benchmarks should provide simple figures reflecting the measured
    performance.

 4. There should be a mix of synthetic benchmarks and application
    benchmarks (with separate results, of course).

 5. Each synthetic benchmarks should exercise a particular subsystem to
    its maximum capacity.

 6. Results of synthetic benchmarks should not be averaged into a
    single figure of merit (that defeats the whole idea behind
    synthetic benchmarks, with considerable loss of information).

 7. Applications benchmarks should consist of commonly executed tasks
    on Linux systems.

 3.2.  Benchmark selection


 I have selected five different benchmark suites, trying as much as
 possible to avoid overlap in the tests:

 1. Kernel 2.0.0 (default configuration) compilation using gcc.

 2. Whetstone version 10/03/97 (latest version by Roy Longbottom).

 3. xbench-0.2 (with fast execution parameters).

 4. UnixBench benchmarks version 4.01 (partial results).

 5. BYTE Magazine's BYTEmark benchmarks beta release 2 (partial
    results).

 For tests 4 and 5, "(partial results)" means that not all results
 produced by these benchmarks are considered.

 3.3.  Test duration


 1. Kernel 2.0.0 compilation: 5 - 30 minutes, depending on the real
    performance of your system.

 2. Whetstone: 100 seconds.

 3. Xbench-0.2: < 1 hour.

 4. UnixBench benchmarks version 4.01: approx. 15 minutes.

 5. BYTE Magazine's BYTEmark benchmarks: approx. 10 minutes.

 3.4.  Comments


 3.4.1.  Kernel 2.0.0 compilation:


 o  What: it is the only application benchmark in the LBT.

 o  The code is widely available (i.e. I finally found some use for my
    old Linux CD-ROMs).

 o  Most linuxers recompile the kernel quite often, so it is a
    significant measure of overall performance.

 o  The kernel is large and gcc uses a large chunk of memory:
    attenuates L2 cache size bias with small tests.

 o  It does frequent I/O to disk.

 o  Test procedure: get a pristine 2.0.0 source, compile with default
    options (make config, press Enter repeatedly). The reported time
    should be the time spent on compilation i.e. after you type make
    zImage, not including make dep, make clean. Note that the default
    target architecture for the kernel is the i386, so if compiled on
    another architecture, gcc too should be set to cross-compile, with
    i386 as the target architecture.

 o  Results: compilation time in minutes and seconds (please don't
    report fractions of seconds).

 3.4.2.  Whetstone:


 o  What: measures pure floating point performance with a short, tight
    loop. The source (in C) is quite readable and it is very easy to
    see which floating-point operations are involved.

 o  Shortest test in the LBT :-).

 o  It's an "Old Classic" test: comparable figures are available, its
    flaws and shortcomings are well known.

 o  Test procedure: the newest C source should be obtained from
    Aburto's site. Compile and run in double precision mode. Specify
    gcc and -O2 as precompiler and precompiler options, and define
    POSIX 1 to specify machine type.

 o  Results: a floating-point performance figure in MWIPS.

 3.4.3.  Xbench-0.2:


 o  What: measures X server performance.

 o  The xStones measure provided by xbench is a weighted average of
    several tests indexed to an old Sun station with a single-bit-depth
    display. Hmmm... it is questionable as a test of modern X servers,
    but it's still the best tool I have found.

 o  Test procedure: compile with -O2. We specify a few options for a
    shorter run: ./xbench -timegoal 3 >
    results/name_of_your_linux_box.out. To get the xStones rating, we
    must run an awk script; the simplest way is to type make
    summary.ms. Check the summary.ms file: the xStone rating for your
    system is in the last column of the line with your machine name
    specified during the test.

 o  Results: an X performance figure in xStones.

 o  Note: this test, as it stands, is outdated. It should be re-coded.

 3.4.4.  UnixBench version 4.01:


 o  What: measures overall Unix performance. This test will exercice
    the file I/O and kernel multitasking performance.

 o  I have discarded all arithmetic test results, keeping only the
    system-related test results.

 o  Test procedure: make with -O2. Execute with ./Run -1 (run each test
    once). You will find the results in the ./results/report file.
    Calculate the geometric mean of the EXECL THROUGHPUT, FILECOPY 1,
    2, 3, PIPE THROUGHPUT, PIPE-BASED CONTEXT SWITCHING, PROCESS
    CREATION, SHELL SCRIPTS and SYSTEM CALL OVERHEAD indexes.

 o  Results: a system index.

 3.4.5.  BYTE Magazine's BYTEmark benchmarks:


 o  What: provides a good measure of CPU performance. Here is an
    excerpt from the documentation: "These benchmarks are meant to
    expose the theoretical upper limit of the CPU, FPU, and memory
    architecture of a system. They cannot measure video, disk, or
    network throughput (those are the domains of a different set of
    benchmarks). You should, therefore, use the results of these tests
    as part, not all, of any evaluation of a system."

 o  I have discarded the FPU test results since the Whetstone test is
    just as representative of FPU performance.

 o  I have split the integer tests in two groups: those more
    representative of memory-cache-CPU performance and the CPU integer
    tests.

 o  Test procedure: make with -O2. Run the test with ./nbench >
    myresults.dat or similar. Then, from myresults.dat, calculate
    geometric mean of STRING SORT, ASSIGNMENT and BITFIELD test
    indexes; this is the memory index; calculate the geometric mean of
    NUMERIC SORT, IDEA, HUFFMAN and FP EMULATION test indexes; this is
    the integer index.

 o  Results: a memory index and an integer index calculated as
    explained above.

 3.5.  Possible improvements


 The ideal benchmark suite would run in a few minutes, with synthetic
 benchmarks testing every subsystem separately and applications
 benchmarks providing results for different applications. It would also
 automatically generate a complete report and eventually email the
 report to a central database on the Web.

 We are not really interested in portability here, but it should at
 least run on all recent (> 2.0.0) versions and flavours (i386, Alpha,
 Sparc...) of Linux.

 If anybody has any idea about benchmarking network performance in a
 simple, easy and reliable way, with a short (less than 30 minutes to
 setup and run) test, please contact me.

 3.6.  LBT Report Form


 Besides the tests, the benchmarking procedure would not be complete
 without a form describing the setup, so here it is (following the
 guidelines from comp.benchmarks.faq):

 ______________________________________________________________________
 LINUX BENCHMARKING TOOLKIT REPORT FORM
 ______________________________________________________________________



 ______________________________________________________________________
 CPU
 ==
 Vendor:
 Model:
 Core clock:
 Motherboard vendor:
 Mbd. model:
 Mbd. chipset:
 Bus type:
 Bus clock:
 Cache total:
 Cache type/speed:
 SMP (number of processors):
 ______________________________________________________________________



 ______________________________________________________________________
 RAM
 ====
 Total:
 Type:
 Speed:
 ______________________________________________________________________



 ______________________________________________________________________
 Disk
 ====
 Vendor:
 Model:
 Size:
 Interface:
 Driver/Settings:
 ______________________________________________________________________



 ______________________________________________________________________
 Video board
 ===========
 Vendor:
 Model:
 Bus:
 Video RAM type:
 Video RAM total:
 X server vendor:
 X server version:
 X server chipset choice:
 Resolution/vert. refresh rate:
 Color depth:
 ______________________________________________________________________



 ______________________________________________________________________
 Kernel
 =====
 Version:
 Swap size:
 ______________________________________________________________________



 ______________________________________________________________________
 gcc
 ===
 Version:
 Options:
 libc version:
 ______________________________________________________________________



 ______________________________________________________________________
 Test notes
 ==========
 ______________________________________________________________________



 ______________________________________________________________________
 RESULTS
 ========
 Linux kernel 2.0.0 Compilation Time: (minutes and seconds)
 Whetstones: results are in MWIPS.
 Xbench: results are in xstones.
 Unixbench Benchmarks 4.01 system INDEX:
 BYTEmark integer INDEX:
 BYTEmark memory INDEX:
 ______________________________________________________________________



 ______________________________________________________________________
 Comments*
 =========
 * This field is included for possible interpretations of the results, and as
 such, it is optional. It could be the most significant part of your report,
 though, specially if you are doing comparative benchmarking.
 ______________________________________________________________________



 3.7.  Network performance tests


 Testing network performance is a challenging task since it involves at
 least two machines, a server and a client machine, hence twice the
 time to setup and many more variables to control, etc... On an
 ethernet network, I guess your best bet would be the ttcp package. (to
 be expanded)

 3.8.  SMP tests


 SMP tests are another challenge, and any benchmark specifically
 designed for SMP testing will have a hard time proving itself valid in
 real-life settings, since algorithms that can take advantage of SMP
 are hard to come by. It seems later versions of the Linux kernel (>
 2.1.30 or around that) will do "fine-grained" multiprocessing, but I
 have no more information than that for the moment.

 According to David Niemi, " ... shell8 [part of the Unixbench 4.01
 benchmaks]does a good job at comparing similar hardware/OS in SMP and
 UP modes."



 4.  Example run and results


 The LBT was run on my home machine, a Pentium-class Linux box that I
 put together myself and that I used to write this HOWTO. Here is the
 LBT Report Form for this system:

 LINUX BENCHMARKING TOOLKIT REPORT FORM



 CPU



 ==



 Vendor: Cyrix/IBM



 Model: 6x86L P166+



 Core clock: 133 MHz



 Motherboard vendor: Elite Computer Systems (ECS)



 Mbd. model: P5VX-Be



 Mbd. chipset: Intel VX



 Bus type: PCI



 Bus clock: 33 MHz



 Cache total: 256 KB



 Cache type/speed: Pipeline burst 6 ns



 SMP (number of processors): 1



 RAM


 ====



 Total: 32 MB



 Type: EDO SIMMs



 Speed: 60 ns



 Disk



 ====



 Vendor: IBM



 Model: IBM-DAQA-33240



 Size: 3.2 GB



 Interface: EIDE



 Driver/Settings: Bus Master DMA mode 2



 Video board



 ===========



 Vendor: Generic S3



 Model: Trio64-V2



 Bus: PCI



 Video RAM type: EDO DRAM

 Video RAM total: 2 MB



 X server vendor: XFree86



 X server version: 3.3



 X server chipset choice: S3 accelerated



 Resolution/vert. refresh rate: 1152x864 @ 70 Hz



 Color depth: 16 bits



 Kernel



 =====



 Version: 2.0.29



 Swap size: 64 MB



 gcc



 ===



 Version: 2.7.2.1



 Options: -O2



 libc version: 5.4.23



 Test notes



 ==========

 Very light load. The above tests were run with some of the special
 Cyrix/IBM 6x86 features enabled with the setx86 program: fast ADS,
 fast IORT, Enable DTE, fast LOOP, fast Lin. VidMem.



 RESULTS



 ========



 Linux kernel 2.0.0 Compilation Time: 7m12s



 Whetstones: 38.169 MWIPS.



 Xbench: 97243 xStones.



 BYTE Unix Benchmarks 4.01 system INDEX: 58.43



 BYTEmark integer INDEX: 1.50



 BYTEmark memory INDEX: 2.50



 Comments



 =========



 This is a very stable system with homogeneous performance, ideal
 for home use and/or Linux development. I will report results
 with a 6x86MX processor as soon as I can get my hands on one!



 5.  Pitfalls and caveats of benchmarking


 After putting together this HOWTO I began to understand why the words
 "pitfalls" and "caveats" are so often associated with benchmarking...

 5.1.  Comparing apples and oranges


 Or should I say Apples and PCs ? This is so obvious and such an old
 dispute that I won't go into any details. I doubt the time it takes to
 load Word on a Mac compared to an average Pentium is a real measure of
 anything. Likewise booting Linux and Windows NT, etc... Try as much as
 possible to compare identical machines with a single modification.
 5.2.  Incomplete information


 A single example will illustrate this very common mistake. One often
 reads in comp.os.linux.hardware the following or similar statement: "I
 just plugged in processor XYZ running at nnn MHz and now compiling the
 linux kernel only takes i minutes" (adjust XYZ, nnn and i as
 required). This is irritating, because no other information is given,
 i.e. we don't even know the amount of RAM, size of swap, other tasks
 running simultaneously, kernel version, modules selected, hard disk
 type, gcc version, etc... I recommend you use the LBT Report Form,
 which at least provides a standard information framework.

 5.3.  Proprietary hardware/software


 A well-known processor manufacturer once published results of
 benchmarks produced by a special, customized version of gcc. Ethical
 considerations apart, those results were meaningless, since 100% of
 the Linux community would go on using the standard version of gcc. The
 same goes for proprietary hardware. Benchmarking is much more useful
 when it deals with off-the-shelf hardware and free (in the GNU/GPL
 sense) software.

 5.4.  Relevance


 We are talking Linux, right ? So we should forget about benchmarks
 produced on other operating systems (this is a special case of the
 "Comparing apples and oranges" pitfall above). Also, if one is going
 to benchmark Web server performance, do not quote FPU performance and
 other irrelevant information. In such cases, less is more. Also, you
 do not need to mention the age of your cat, your mood while
 benchmarking, etc..

 6.  FAQ


    Q1.
       Is there any single figure of merit for Linux systems ?

    A: No, thankfully nobody has yet come up with a Lhinuxstone (tm)
       measurement. And if there was one, it would not make much sense:
       Linux systems are used for many different tasks, from heavily
       loaded Web servers to graphics workstations for individual use.
       No single figure of merit can describe the performance of a
       Linux system under such different situations.

    Q2.
       Then, how about a dozen figures summarizing the performance of
       diverse Linux systems ?

    A: That would be the ideal situation. I would like to see that come
       true. Anybody volunteers for a Linux Benchmarking Project ? With
       a Web site and an on-line, complete, well-designed reports
       database ?

    Q3.
       ... BogoMips ... ?

    A: BogoMips has nothing to do with the performance of your system.
       Check the BogoMips Mini-HOWTO.

    Q4.
       What is the "best" benchmark for Linux ?

    A: It all depends on which performance aspect of a Linux system one
       wants to measure. There are different benchmarks to measure the
       network (Ethernet sustained transfer rates), file server (NFS),
       disk I/O, FPU, integer, graphics, 3D, processor-memory
       bandwidth, CAD performance, transaction time, SQL performance,
       Web server performance, real-time performance, CD-ROM
       performance, Quake performance (!), etc ... AFAIK no bechmark
       suite exists for Linux that supports all these tests.

    Q5.
       What is the fastest processor under Linux ?

    A: Fastest at what task ? If one is heavily number-crunching
       oriented, a very high clock rate Alpha (600 MHz and going)
       should be faster than anything else, since Alphas have been
       designed for that kind of performance. If, on the other hand,
       one wants to put together a very fast news server, it is
       probable that the choice of a fast hard disk subsystem and lots
       of RAM will result in higher performance improvements than a
       change of processor, for the same amount of $.

    Q6.
       Let me rephrase the last question, then: is there a processor
       that is fastest for general purpose applications ?

    A: This is a tricky question but it takes a very simple answer: NO.
       One can always design a faster system even for general purpose
       applications, independent of the processor. Usually, all other
       things being equal, higher clock rates will result in higher
       performance systems (and more headaches too). Taking out an old
       100 MHz Pentium from an (usually not) upgradable motherboard,
       and plugging in the 200 MHz version, one should feel the extra
       "hummph". Of course, with only 16 MBytes of RAM, the same
       investment would have been more wisely spent on extra SIMMs...

    Q7.
       So clock rates influence the performance of a system ?

    A: For most tasks except for NOP empty loops (BTW these get removed
       by modern optimizing compilers), an increase in clock rate will
       not give you a linear increase in performance. Very small
       processor intensive programs that will fit entirely in the
       primary cache inside the processor (the L1 cache, usually 8 or
       16 K) will have a performance increase equivalent to the clock
       rate increase, but most "true" programs are much larger than
       that, have loops that do not fit in the L1 cache, share the L2
       (external) cache with other processes, depend on external
       components and will give much smaller performance increases.
       This is because the L1 cache runs at the same clock rate as the
       processor, whereas most L2 caches and all other subsystems
       (DRAM, for example) will run asynchronously at lower clock
       rates.

    Q8.
       OK, then, one last question on that matter: which is the
       processor with the best price/performance ratio for general
       purpose Linux use ?

    A: Defining "general purpose Linux use" in not an easy thing ! For
       any particular application, there is always a processor with THE
       BEST price/performance ratio at any given time, but it changes
       rather frequently as manufacturers release new processors, so
       answering Processor XYZ running at n MHz would be a snapshot
       answer. However, the price of the processor is insignificant
       when compared to the price of the whole system one will be
       putting together. So, really, the question should be how can one
       maximize the price/performance ratio for a given system ? And
       the answer to that question depends heavily on the minimum
       performance requirements and/or maximum cost established for the
       configuration being considered. Sometimes, off-the-shelf
       hardware will not meet minimum performance requirements and
       expensive RISC systems will be the only alternative. For home
       use, I recommend a balanced, homogeneous system for overall
       performance (now go figure what I mean by balanced and
       homogeneous :-); the choice of a processor is an important
       decision , but no more than choosing hard disk type and
       capacity, amount of RAM, video card, etc...

    Q9.
       What is a "significant" increase in performance ?

    A: I would say that anything under 1% is not significant (could be
       described as "marginal"). We, humans, will hardly perceive the
       difference between two systems with a 5 % difference in response
       time. Of course some hard-core benchmarkers are not humans and
       will tell you that, when comparing systems with 65.9 and 66.5
       performance indexes, the later is "definitely faster".

    Q10.
       How do I obtain "significant" increases in performance at the
       lowest cost ?

    A: Since most source code is available for Linux, careful
       examination and algorithmic redesign of key subroutines could
       yield order-of-magnitude increases in performance in some cases.
       If one is dealing with a commercial project and does not wish to
       delve deeply in C source code a Linux consultant should be
       called in. See the Consultants-HOWTO.


 7.  Copyright, acknowledgments and miscellaneous


 7.1.  How this document was produced


 The first step was reading section 4 "Writing and submitting a HOWTO"
 of the HOWTO Index by Tim Bynum.

 I knew absolutely nothing about SGML or LaTeX, but was tempted to use
 an automated documentation generation package after reading the
 various comments about SGML-Tools. However, inserting tags manually in
 a document reminds me of the days I hand-assembled a 512 byte monitor
 program for a now defunct 8-bit microprocessor, so I got hold of the
 LyX sources, compiled it, and used its LinuxDoc mode. Highly
 recommended combination: LyX and SGML-Tools.

 7.2.  Copyright


 The Linux Benchmarking HOWTO is copyright (C) 1997 by Andr D. Balsa.
 Linux HOWTO documents may be reproduced and distributed in whole or in
 part, in any medium physical or electronic, as long as this copyright
 notice is retained on all copies. Commercial redistribution is allowed
 and encouraged; however, the author would like to be notified of any
 such distributions.

 All translations, derivative works, or aggregate works incorporating
 any Linux HOWTO documents must be covered under this copyright notice.
 That is, you may not produce a derivative work from a HOWTO and impose
 additional restrictions on its distribution. Exceptions to these rules
 may be granted under certain conditions; please contact the Linux
 HOWTO coordinator at the address given below.

 In short, we wish to promote dissemination of this information through
 as many channels as possible. However, we do wish to retain copyright
 on the HOWTO documents, and would like to be notified of any plans to
 redistribute the HOWTOs.

 If you have questions, please contact Tim Bynum, the Linux HOWTO
 coordinator, at [email protected] via email.

 7.3.  New versions of this document


 New versions of the Linux Benchmarking-HOWTO will be placed on
 sunsite.unc.edu and mirror sites. There are other formats, such as a
 Postscript and dvi version in the other-formats directory. The Linux
 Benchmarking-HOWTO is also available for WWW clients such as Grail, a
 Web browser written in Python. It will also be posted regularly to
 comp.os.linux.answers.

 7.4.  Feedback


 Suggestions, corrections, additions wanted. Contributors wanted and
 acknowledged. Flames not wanted.

 I can always be reached at [email protected].

 7.5.  Acknowledgments


 David Niemi, the author of the Unixbench suite, has proved to be an
 endless source of information and (valid) criticism.

 I also want to thank Greg Hankins one of the main contributors to the
 SGML-tools package, Linus Torvalds and the entire Linux community.
 This HOWTO is my way of giving back.

 7.6.  Disclaimer


 Your mileage may, and will, vary. Be aware that benchmarking is a
 touchy subject and a great time-and-energy consuming activity.

 7.7.  Trademarks


 Pentium and Windows NT are trademarks of Intel and Microsoft
 Corporations respectively.

 BYTE and BYTEmark are trademarks of McGraw-Hill, Inc.

 Cyrix and 6x86 are trademarks of Cyrix Corporation.

 Linux is not a trademark, hopefully never will be.