Making Of,Pipeline,Production

Gooseberry Production Benchmark file

20 March, 2015 |  155 Comments | by Ton Roosendaal

It’s about time to share a benchmark for production quality renders – something nice and heavy, taking 8-12 GB memory and requiring an hour to render in a minimal quality! Here it is (240 MB).

Note: you have load file “trusted” (allow scripts to run).

This is the 1.0 release of the file, we like to get feedback first and make some updates still. We also work on automatic registration of render stats via an add-on.

In the diagram below you can see how it renders here.

Linux-3.16.0-4-amd64-x86_64-with-debian-8.0 Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz x56 1133 sec 19 min
Darwin-13.4.0-x86_64-i386-64bit Intel(R) Xeon(R) CPU E5-1680 v2 @ 3.00GHz x16 2916 sec 49 min
Linux-3.16.0-4-amd64-x86_64-with-debian-jessie-sid Intel(R) Xeon(R) CPU L5520 @ 2.27GHz x16 4965 sec 83 min
Linux-3.16.0-4-amd64-x86_64-with-debian-jessie-sid Intel(R) Core(TM) i7 CPU 930 @ 2.80GHz x8 7985 sec 133 min

(Yep. We have a 28 core intel doing 56 threads here, it’s amazing!)

Later more, enjoy!



155 Responses

  1. Are these the final render settings in terms of samples and light bounces etc???

  2. alan zirpoli says:

    Just finished the computation. Are the stats already been sent to you?

  3. Hi, is there a way to run this benchmark from the CLI in a manner that could be fully-automated from start-up to completion? With the results then being dumped to the output or some file?

    Michael Larabel

  4. Warren says:

    Do you want the stats posted here ?
    here goes:

    OSX (hackintosh)10.10
    CPU Intel i7-4771 Haswell @ 3.50 GHz x 8
    8 GB Ram

    Render time:78 min (1:17:53.92)
    Peak Memory Consumption: 7828.38 Mb

  5. Thanks, not a bad stat! The new i7s are fast.

  6. nudelZ says:

    ubuntu 14.04
    i7 4930k 4.5ghz
    current master (-march native)



  7. Jakub Machałek says:

    Intel(R) Xeon(R) CPU E5-2665 0 @ 2.40GHz
    Linux 3.13.0-46-lowlatency #77-Ubuntu SMP PREEMPT Mon Mar 2 18:49:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
    Peak: 7828.80M
    Time: 32:08.32

    • Jakub Machałek says:

      sorry I forget… this is Dual Xeon setup (32 logical cores)

  8. Jakub Machałek says:

    Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz
    Linux 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt7-1 (2015-03-01) x86_64 GNU/Linux
    Time: 01:21:46.45

  9. PgtArt says:

    (Kaito this one is for you)

    Some Adaptive Sampler tests
    On my laptop Windows 7 64bit; i7 2.3 Ghz, 8 core, 24GBmem.

    Having Adaptive Sampler capped to max 65 % noise and update of 5, with adaptive distribution. This gives some noice, since AS caps till a certain noise treshold is reached, or stops at end of max samples whatever comes first
    But since i don’t use loose-less video codecs, in final works this noise gets filtered out by compression video codec in a movie. (as a reminder youtube doesnt use looseless video codecs either) .

    65 – 5; is what i use at work for “good” (not ultimate) quality at work;
    Rendertime 1:05

    35 – 5; is what i use for reasonable quality at work;
    Render time 0:24

    Notice the look of the noise in AS, in the 35-5, it looks as real photographic noise, as if it was done using my Canon, it seams more ‘real’, (camera’s are less good in dark areas too), noise distribution, is more like a real camera.
    The noise is in difference with other noise methods (like less samples), its a limit based upon a threshold of tile noise level. the result is that each tile doesnt get the same amount of render samples, and `thus that what gives the time win.
    The jacket has noise, but might be reduced with i think a more simple shader
    Although that noise as said earlier gives expression of fabric better then plastic CG. dough its a kind of taste thing too how one reacts to some noise.

    I could test it with AS 80-5 too but for this scene with good global light there is no great benefit i think in using AS, it works better in other light/shader settings; but still its not bad, although a bit of trading between noise look, and noise free look.

    Sheep hair is slightly different since this blender branch didnt have gooseberry hair tricks in it.

  10. Kamil1064 says:

    Hi, here it’s 2h 09m 34.11s
    Intel i7 4790k, 16 GB ram
    Win 7 professional 64

    • Ron Watkins says:

      Is the 2-hour timing for a single frame or for the whole sequence? Seems kinda slow if it’s for a single frame, given that’s a pretty beefey CPU.

  11. Shaun Kreider says:

    Old HP DL585 server. 4x 3Ghz quadcore Opteron 8393
    Ubuntu 14 x64 16 threads
    54Min 1sec

  12. Marcus Mauller says:

    Mac OSX 10.9.5
    Xeon E5 @ 2.7GHz x 24

  13. Steve M says:

    LinuxMint 17 OS
    Linux 3.13.0-24-generic, Intel i7-2600k 3.4Ghz 8Core 32Gb 2 x GTX560Ti [GPU not used]
    Render time: 1:47:47:14 Memory 6986.53Mb Peak Memory 7082.46Mb

  14. Gil Charboy says:

    Windows 7 x64 SP1
    I7 2700K 3.5 GHZ
    16 GB of DDR3 1600
    Render Time 1:37:55.56

  15. Selu says:

    Ubuntu 14.04 Linux 3.13.0-48-generic
    AMD FX-8350 4 GHz x8
    16 GB of DDR3 1333
    Render Time: 1:56:56.61
    Peak Memory: 6981.79Mb

  16. Steve M says:

    Result from Alienware M17x laptop, running Linux Mint 17 OS
    i7-4710MQ 2.5Ghz 8 Core 24Gb RAM GTX860M
    Render Time: 1:29:29.75
    Memory 7732.72M Peak 7828.65M

  17. Scott Wood says:

    Intel Xeon CPU E5-2687W v3 @ 310Ghz (2 processors)
    Windows 8 – 64 GB RAM
    Time: 26:23:34

    Blender build: 2015-03-03
    Hash: 1965623

  18. Steve Weller says:

    iMac 27″ Mid-2011 with 3.4GHz i7 and 12G system RAM: 1:50:30 peak memory 6891M

    Model Name: iMac
    Model Identifier: iMac12,2
    Processor Name: Intel Core i7
    Processor Speed: 3.4 GHz
    Number of Processors: 1
    Total Number of Cores: 4
    L2 Cache (per Core): 256 KB
    L3 Cache: 8 MB
    Memory: 12 GB

  19. Piotr Jędrzejko says:

    Render Time: 03:19:06.87 | Mem: 6885,89 | Peak: 6981,82

    Win7 64bit | i5-3350P 3.10 Ghz | 16 GB RAM|
    Blender 2.73a | Hash: bbf09d9

  20. MacBook Pro (Retina, 15″, Early 2013)
    OS X Yosemite
    Processor: 2.7 GHz Intel Core i7
    RAM: 16 GB 1600 MHz DDR3

    Render Time: 01:51:05.58 | Mem: 7732.38 | Peak: 7828.31
    Blender 2.73a | Hash: 1f547c1

  21. Dieter says:

    Intel Core i7-5820 [email protected]
    Ubuntu 14.04 LTS -> Tiles 16×16 => 63min 25sec
    Win7 -> Tiles 32×32 => 103min32sec
    Win7 -> Tiles 16×16 => 98min21sec

  22. KarlAndreasGroß says:

    Hi everybody,

    am i right with that the file is setup for Blender 2.74? I opened in Blender 2.72, and Frank and Victor looking quite naked, because they do not have any Hair or Fur….

    Kind regards,

    Karl Andreas Groß

    • Eibriel says:

      You are right, blender 2.74 have some improvements on the particle system! And new features in general that we want to test.

  23. Aaron Smithey says:

    Dual E5-2660’s CPU’s @ 2.6 GHz (20 physical Cores + 20 virtual Cores)
    Windows 7
    32 Gig’s of Ram

    Blender 2.73
    Time: 42 min.33 sec.
    Peak Ram: 6.9 GB

    • Jakub Machałek says:

      Intel® Xeon® Processor E5-2660
      have 8 physical cores per processor, 16 HT 2,2GHz (max. turbo 3 GHz)
      so finally 32 HT cores (and 16 physical) or you have different processor…?

      • Aaron Smithey says:

        Two E5 2660 v3 (10 core cpus). 10 physical cores each with HT. 40 cores total.

        • Aaron Smithey says:

          Intel Xeon E5-2660 v3 Haswell 2.6GHz 10 x 256KB L2 Cache 25MB L3 Cache LGA 2011-3 105W BX80644E52660V3 Server Processor

          • Aaron Smithey says:

            I have noticed that systems running Linux actually, for what ever reason, render faster than Windows machines. That is why you got a better time perhaps.

  24. Vindicators says:

    For me : i7 4771@3,5Ghz (Turbo Mode 3,9Ghz Max) 8threads 16 Go RAM Fedora 22 Alpha
    Render time 1:19:06 :) Good screen :) and good job team ;).

  25. Lucas says:

    What about a GPU render test? Will you be doing them too?

  26. Aaron Smithey says:

    I have noticed that systems running Linux actually, for what ever reason, render faster than Windows machines.

  27. Ron Watkins says:

    Does this benchmark work in network render mode or is it for single system testing only?

    • Eibriel says:

      Is designed for local render, but you are free to test your own setup! :)

      • Ron Watkins says:

        Reason for asking is that I have an HP DL980 G7 box with 8 sockets of 16 HT cores each. For some reason, im not able to get blender to “run” under Windows or Linux correctly in native mode. However, I installed ESXi and created 16 VM’s, with 8 cores each (max for free version) and Blender does run in each VM. I ran some tests with other benchmarks, and it seems to run pretty good.
        I would prefer to have a single blender instance run natively, but I don’t really know how to diagnose the problem. Blender starts, shows the main window then just exits.

  28. Aravindkumar says:

    Windows 8.1 Pro 64 bit
    Intel® Xeon® Processor E5-2650 v2 (20M Cache, 2.60 GHz) x2 (8×2 = 16 cores)
    Render time: 36:53.84

    Great work, waiting to see the movie :-)

  29. Aravindkumar says:

    I try to do gpu rendering, blender and gpu driver got crash for this render setting. I am using gtx titan black.

  30. Eibriel says:

    Nobody with a supercomputer to beat our intels? I’m waiting for it! Some university maybe?

    • Ron Watkins says:

      Not a supercomputer, but HP DL980 G7 does have 128 HT cores at 2GHz each…
      Trying to find a way to run benchmark in native mode.

  31. Paul Melis says:

    I’ve been running this benchmark on a 48-core machine (4x Xeon E7-8857 v2), which is part of the Dutch national compute cluster Lisa, see I get around 40-50 minutes render time. Looking at some of the other results posted would expect it to be a bit faster.

    This is with the prebuilt binaries of 2.73a and command-line rendering and I notice that after tracing all the tiles (“… Path Tracing Tile 1728/1728”) blender spends a very long time without printing anything, must be at least 10 minutes, before continuing with the final composite step. Top shows it’s only using a single core at that time, any clues what is going on there?

    • Ron Watkins says:

      The E7-8857 is a 12 core (24 HT core) chip, so if you ran with HT on, you would have 96 HT cores at 3GHz (288GHz total). Have you tried it with HT on? I have a pair of Dell R610 boxes, and find that HT works very well with Blender on all the tests I have done. I get almost double the non-HT rendering speed.

      • Paul Melis says:

        I believe HT is disabled on most of our systems, on purpose. I don’t know the specific reason for that actually.

    • Eibriel says:

      I’m not sure how it affects the time, but we test the file with Blender 2.74

      • Paul Melis says:

        Okay, compiled the latest git master and tried again. Now render time is down to 16:04.06, however… the image doesn’t match what I saw earlier. Specifically, the character pose is different and it looks like the final compositing step isn’t applied (the hands and face are definitely not as pink as the other renderings I did on other machines).

        I render from the command-line with
        $ blender -b benchmark.blend -y -o //rendered.png -t 48 -f 1
        and I get the feeling not all parameters are applied (correctly). I.e. the output file is named rendered.png0001.png, instead of just rendered.png.

        Also tested the 2.74RC2 binaries and render time is 16:27.80. Coloring is correct in this version, but pose again is not.


        • The -y should be after the -b.
          Blender command line is like an instruction sequence.

          blender -b -y benchmark.blend -o //rendered.png -t 48 -f 1

          • Paul Melis says:

            Okay, I now see that what I thought should be the result (the rendering shown at the top of this topic) is actually the last frame in the animation, not the first :)

            So, with 2.74rc2 (binaries) the rendering was correct. Just rerendered and at 16:24.40 slightly faster than the earlier attempt.

            Can’t get correctly composited (I assume) rendering with git master, though, when using -b -y …blend …

          • Paul Melis says:

            Oh, and I tried to compile git master with the Intel compiler, which can usually squeesh a bit more performance out of an Intel CPU than GCC, but it fails to compile. If interested, I can retry to get the exact error.

  32. Jeremiah Zepda says:

    I’m surprised to so many essentially supercomputers here, makes me think that the project files should be shared so people around the world can render individual frames or sequences and send it back to be compiled. Could almost beat the 17 million core computer pixar used on big hero 6. But maybe that would be more useful on the (hopefully) next project doing a full feature film.

  33. Ron Watkins says:

    Ok, ran the benchmark in network render node on a HP DL980 G7 box.
    Had some issues and notes below:
    1) Was not able to get Blender to work in either Windows or Linux when installed on the base HW (128 HT cores @ 2GHz). Didn’t have time to do any significant debugging, but I would have prefered to run all 128 HT cores on a single instance of Blenderr.
    2) Was able to use ESXi to create 16 x 8-core VMs and got Blender running on each VM under Linux. Im using the free version of esxi, so was limited to 8 virtual cores per VM, thus I built a single VM and just copied it 15 times to get all 16 nodes.
    3) When I rendered, the network render sent each of 7 frames to 7 VMs, meaning that less than 1/2 the box was being used. 9 of the VM’s were idle. I suppose that it would be nice to have the benchmark contain at least 16 frames, but it is what it is and I don’t expect admins to re-work test just for me.
    4) Run-times of each frame varied from 2690s to 3620s, but all 7 frames were completed in 3620 seconds. The net processing power of the 7 VM’s was 112Ghz out of the 256Ghz available on the box. So, I should have been able to complete 16 frames in approx the same time as the 7 frames due to the idle cores.

    Anyhow, the takeaway is that this box in it’s current configuration is available for rendering if anyone want’s to use it. If there is any interest, I could poke at it further and see if I can get Blender working in a single instance rather than 16 smaller instances, but I could use some help in tracking down logfiles and such to tell me what’s going on inside Blender and what issues it’s having.

  34. Braeden says:

    Intel i7-3930k @ 3.20Ghz
    Windows 8 – 64 GB RAM
    Time: 1:09:41
    Blender 2.74rc2 – Rendered just as the file was setup

  35. Hendrik says:

    Amazon EC2 virtual machine instance:
    36 virtual cores
    60GB RAM
    Ubuntu Linux 14.04 x64
    Blender 2.74RC2

    Time: 22 min 14 sek

    Cores should be equvalent to 2.9 GHz Intel® Xeon® E5-2666 v3 cores, for c4.8xlarge with turbo boost it can speed up to 3.5 Ghz.

    Did not render exactly as expected – Victor’s pose is wrong with legs strangely twisted. Have not found yet, why this happened. Any ideas?

    • Hendrik says:

      I used James Yonan’s Brenda scripts by the way… Easy to use and faster than fiddling with virtual machine directly through telnet or remote desktop.

    • Braeden says:

      You have to load the file as a trusted source (a checkbox in the open dialog). Some of the drivers, I am assuming, use some scripting that Blender blocks on startup (helps hinder malicious activities people could exploit through Blender). Just make sure you open the file through the open dialog and check that box. Hope that helps.

      • Hendrik says:

        Oh, I totally forgot that, thanks!

        I wonder, if there is a way to modify this preference setting through command line? I must change it on the machine that I made te AMI from, but if possible, I’d like to avoid the hassle of setting up Win > Linux remote desktop.

  36. Ron Watkins says:

    Ok, got a re-run using the gooseberry blender. Single frame Time: 22:34.30.
    HP DL980 G7
    X6550 x8 @ 2.00GHz = 128HT cores (256GHz) on a single CentOS instance.

  37. Richie Blac says:

    Time – 45:20.84
    Peak Mem – 7828.21

    Windows 8.1 x64
    Intel Core i7 5960X OC 4.2ghz
    64gb RAM DDR4

  38. Did a benchmark on my humble PC.

    Intel i7-3820 (4-core) at 3.60 ghz
    12 GB RAM DDR3

    Time – 1:59:12.44 (1 Hour 59 Minutes 12.44 Seconds)
    Peak Memory – 7828.75 M

  39. Jakub Machałek says:

    Blender 2.74.2 (26.03 git)
    Dual Intel(R) Core(TM)2 Extreme CPU X9775 @ 3.20GHz
    Linux 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt7-1 (2015-03-01) x86_64 GNU/Linux

  40. Juan Larrañaga says:

    Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz
    24 GB RAM DDR3
    Darwin Kernel Version 13.4.0: RELEASE_X86_64 x86_64
    Mac OS X 10.9.5 Hacintosh
    Blender 2.73a

    1st run: Uptime 40 days
    Time: 1:53:00:81
    Mem: 6885.84M
    Peak: 6981.77M

    2nd run: Uptime 0 days (just after reboot)
    Time: 1:35:02:91

  41. Juan Larrañaga says:

    Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz
    24 GB RAM DDR3
    Darwin Kernel Version 13.4.0: RELEASE_X86_64 x86_64
    Mac OS X 10.9.5 Hacintosh
    Blender 2.74rc4

    Time: 1:30::10:20
    Mem: 7732.38
    Peak: 7828.31

    Blender 2.74 does indeed improve render times.

  42. Wim den Boer says:

    Mac Pro 2008
    dual Intel XEON 5400 series 3.2 GHz total 8 cores
    8 Gb Ram DDR2
    OSX 10.10.2
    Blender 2.74rc4

    Time: 1:42:54
    Mem: 7733 Mb
    Peak: 7829 Mb

  43. RegusMartin says:

    I vote we rename this file “Computer Killer”

  44. Neeraj Pattani says:

    iMac 3.5 GHz Intel Core i7 2013
    16 GB 1600 MHz DDr3
    OSX 10.10.2
    Blender 2.74rc2

    Render Time: 01:19:08:30
    Mem: 7732.3 MB
    Peak: 7828.29 MB

  45. n says:

    Intel i7-4790k
    Ubuntu 14.04
    Linux 3.19.2-031902-generic
    Blender 2.74+ (rev: ab2d05d) with -O3 -march=native (*1)

    Render Time: 01:08:34:41
    Peak: 7732.83 MB
    Peak: 7828.76 MB


  46. james rosin says:

    Intel (R) core i5- 4440 CPU @ 3.10 GHZ 8GB RAM
    480 minutes

  47. james rosin says:

    correction 180 minutes

  48. Artur Domagala says:

    Intel i7- 4771 CPU @ 3,50GHz
    RAM 16 GB
    Win 7 -64bit

    Frame: 2472
    Render time: 01:45:36.25
    Mem 7732.82M
    Peak: 7828.75

  49. Wolfgang says:

    Blender 2.74 Hash:000dfc0
    Ubuntu 15.04
    Intel Core i7-3770K (Ivy Bridge) @ 3.5GHz
    8 threads (autodetected)
    16GB RAM
    no settings changed

    Not that slow for an almost three years old machine. I would really like know how fast a GPU can handle this particle hell.

  50. Alexandre L says:

    win 7 v64 bit
    ram : 16go
    i7 5960x 3.9Ghz

  51. Jakub Machałek says:

    Dual Intel(R) Xeon(R) CPU X5670 @ 2.93GHz
    Linux 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt9-3 (2015-04-23) x86_64 GNU/Linux Blender 2.74
    Time: 00:42:50.56

  52. Dan says:

    @EIBRIEL You said the file is currently not ready for GPU render. Which is true…I did some GPU render tests that crashed blender every time and sometimes the Nvidia driver as well.

    The only reason is not GPU ready that I found is the use of SSS Shader (Sub-Surface Scattering) that’s used on Viktor’s skin and it’s currently experimental. Is this really the only show-stopper ? or am I missing something here…

    • Jakub Machałek says:


      I’ve tried on Quadro M6000 without success, will try in experimental mode with new build, but still I’m not sure that this is enought…


  53. Marius Iatan says:

    31 minutes 52 seconds on one of RenderStreet’s CPU servers. How are the settings for the final shot compared with this one?

  54. M51 says:

    AMD Phenom II X6 1100 (6 threads)
    16GB RAM
    Gentoo 3.18.12 x86_64
    Blender 2.74 (Hash: 000dfc0) official binary
    Frame: 2472
    Peak: 7828.65M
    Time: 02:06:29.82

  55. Alex says:

    Win 7
    CPU Intel i7-3820 @ 3.60 GHz x 8
    32 GB Ram

    Render time: 2:01:22.09
    Peak Memory Consumption: 7732.82 Mb

  56. Thank you so much for this cool benchmark ;-)

    Both rigs where fresh installed Windows 8.1 Enterprise

    2x E5-2630v2 2.6GHz (12c/24t), 32GB Ram
    Frame: 2472
    Time: 48:57.48
    Mem: 7732.82M
    Peek: 7828.75M

    i7 3930K 3.2GHz (6c/12t), 24GB Ram
    Frame: 2472
    Time: 1:19:36.86
    Mem 6481.75M
    Peak: 6577.68M

  57. Okrasit says:

    Intel(R) Xeon(R) CPU E5-2683 v3 @ 2.00GHz 14C/28T
    Frame: 2472
    Time: 33:29.10
    Mem: 6481.68M
    Peak: 6577.61M

  58. varomix says:

    Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.4GHz 16C/32T
    Frame: 2472
    Time: 29:16.98
    Mem: 6481.77M
    Peak: 6577.70M

    looks amazing, can’t wait to see the final movie

  59. Regi Ellis says:

    Time – 39:17
    Peak Mem – 6481.74M

    Windows 10 PRO x64
    Intel Core i7 5960X OC 4.5ghz
    64gb RAM DDR4

  60. Fuchsiii says:

    Time: 1:16:02.49
    Mem Peak: 6577.60M
    HP Z600 Workstation
    Dual Xeon X5550 (4cores 8threads 2,67GHz 3,0GHz boost)
    Windows 7 Pro 64bit

  61. Blender 2.75a
    Frame: 2472
    Time: 58:38.78
    Mem: 6481.66M
    Peak: 6577.60M
    HP DL585 G6
    4 Hex Opteron 8439 (24cores, 2.8 GHz)
    128GB DDR2 ECC RAM
    Windows Server 2008 R2

    Beautiful render.

    So, my grandson got a hot, new graphics card for his workstation (a system I built a couple years ago), an Nvidia 980ti (about $800). Recently, I got this old but great server from Potomac eSTORE for about half that. It’s about a 5-year old system, expensive and fast in its day. Had to add an extra circuit in the house to power it. Got a cheapie VGA monitor, mouse and keyboard for it. It all works fine.

    I recently installed Windows Server 2008 R2 on it. Today, I finished getting all the firmware and OS updates. I got Blender software going on it and downloaded this great benchmark program to test it. The system actually used about 20 GB of RAM total while doing the job.

    So, my grandson, confident that his new graphics card would smoke my server, also ran the render. But, here’s the issue. He has 8 GB RAM on his CPU and 6 GB RAM on his graphics card. First, his system froze as it thrashed on the benchmark, which wants 9 GB of RAM. Finally, it got to the point where it tried to load to the graphics card. The graphics card barfed and canceled the job. In his words … “It’s not fair!”

    There is something to be said about older technology that, while not as glamorous, is still able to do jobs that can bring some new technology to its knees. We’re going to have another run of the server against his graphics card tomorrow. This will be an animation job of mine with a much smaller RAM footprint, so it will be a more fair test. His system will probably smoke mine. But, that’s okay. The old server has already proven it packs a hefty and effective punch.

  62. James says:

    Linux Mint 17.2 Cinnamon (2.6.11) 64bit
    Xeon E7540 2.00ghz 6 core x 4 (48 cores HT) – DL580 G7

    (Linux System monitor only show 32 active cpu cores whilst rendering , any one know why and how to enable all of them?)

    Total Mem 128GB – 17GB in Use whilst Rendering

    Frame 2472 | Time 33.57.19 | Mem 6481.68M, Peak 6577.61M

    • James says:

      a forgiving update… server serviced with different Linux distribution and CPU’s

      and update blender ver. 2.78c

      Ubuntu Studio 16.10 – 64 bit
      Xenon 4860 10 core x 4 (80 threads) 128GB DDR3 ECC RAM DL580 G7

      Tiles 32×32
      Frame 2472 | Time 20.08.66 | Mem: 6820.94M, Peak: 6916.87M

      Tiles 16×16
      Frame 2472 | Time 19.49.64 | Mem: 6820.94M, Peak: 6916.87M

  63. Uno Castillo says:

    Time: 50:35.29
    Mem Peak: 6577.63M
    Mac Pro 5,1 (Mid 1012)
    Processors: 2 x 2.4 GHz 6-Core Intel Xeon E5645 (12 CORES – 24 threads)
    32 GB DDR3 ECC RAM
    OSX YOSEMITE 10,10,5
    Blender 2,76

  64. Mateusz Mielnicki says:

    The file is broken for blender 2.75a.
    Armature of victor is destroyed.

  65. Randy Little says:

    hmm first pass with dual 2680 v2 is 33.42

  66. Joe Moody says:

    Time: 1:03
    Time 1:12
    Time 5+
    HP Proliant DL580G5
    Server 2012 R2
    Intel(R) Xeon(R) CPU e7450 @2.4 Ghz 4 Processors ( 24 threads) 128 gig of ram.

    I have 3 of these machines and one of the cpu trays renders slower then the others. I’ve been all over the bio’s and as of yet I’ve not figured out why. Of the two faster ones, one has some more going on in the background then the other so that accounts for that. But one machine seems to take like 5 times longer no matter what I do. I’ve been all though the bio’s and I’ve swapped drives and ram out. And so far it don’t seem to be an overheat problem on the CPU’s.

  67. Chris Bly says:

    Time 35:37.93

    Dual Xeon E5-2670 8core 16thread
    16Gb memory
    Windows 10
    Blender 2.76b

  68. Chris Bly says:

    Hmmm, OK I agree, Linux rocks

    Time 28:34.17

    Dual Xeon E5-2670 8core 16thread
    16Gb memory
    Linux Mint 17.3
    Blender 2.76b

  69. LookAndSee says:

    picture 2472
    Blender 2.77a

    Windows 10 Pro 64 bit
    i7-6700k 4 GHz
    16 GB
    time: 1h 13min 2sec

    Linux Ubunto Studio 15.10 64bit
    i7-6700k 4 GHz
    16 GB
    time: 1h 1min 42sec

    In Windows CPU-Usage for blender always have been 99 % because of a lot other things running in background.
    I think this is the reason for the time-delta about which linux is faster .

    By the way – the first MoviePart you can download via blendercloud is about 10 minutes, for e.g. 30 fps, which means i have to render 18k of pictures which means 18k of hours which means 750 days which means 2 years –
    I will write down the exact time after finishing!

  70. okrasit says:

    Blender 2.77a
    Dual E5-2683 v4

    Time: 14:55.19

  71. Strob says:

    Blender 2.75 a
    Dual E5-2680 v2 2.8GHz
    96GB ram
    Time: 26:53:98

  72. Strob says:

    Oops I have to upgrade blender, cause Victor srmature was broken as staten earlier.

  73. okrasit says:

    Blender 2.77a
    Dual E5-2683 v4
    (16×16 tiles, 128 threads)

    Time: 14:24.57

  74. okrasit says:

    Blender 2.77 dev build + macOS Sierra
    Dual E5-2683 v4
    (16×16 tiles, 128 threads)

    Time: 13:42.16

  75. Koneg says:

    Blender 2.78 RC1, Windows 10 Pro
    Dual Xeon E5-2683 v4, 64GB RAM
    Time: 24:17.07

    Windows 10 is a poor choice for rendering, Ubuntu would probably shave ~10 minutes off that.

    GPU Render Attempt
    Dual GeForce 1080 GTX, 16GB Total Video RAM
    Failed – CUDA out-of-memory at around ~14GB used

    Was worth a shot. :p

  76. maverine says:

    Blender 2.78
    Asus z9pa-d8 mobo
    Dual Xeon E5-2667 v2
    (16×16 tiles 32 Threads)


  77. Massimo says:

    Mac Pro 2009
    OSX Sierra
    3,46 GHz 6-Core Intel Xeon W3690
    32 GB RAM
    Blender 2.77
    32×32 Tiles

  78. Eric G. says:

    Ubuntu 14.04.1
    2 x E5-2670 v0 (8c/16t x 2)
    64GB RAM

  79. Luis Fernando says:

    Frame 2472
    Blender 2.78a

    Windows 7 Pro 64 bit
    Xenon X5690 x2 @ 3.47GHz
    32 GB
    time: 44:40:66 Memory peak 6935.68

  80. Doug J. says:

    Frame 2472
    Blender 2.78a

    Windows 7 Pro 64 bit
    Intel Xeon E3 1241 v3 @ 3.50GHz
    32 GB
    time: 01:39:35.78 Mem Peak: 6935.90M

  81. Ali says:

    Intel Xeon 5650 @ 2X ” Stock Speed”
    24 Gb Ram
    Windows 10 Pro.
    Peak Mem 6935.90M

  82. Intel Xeon CPU E5-2670W v0 @ 2.60Ghz (2 processors)
    Windows 7 PRO – 96 GB RAM
    Time: 35:39:69
    Peak Mem 6935.90M

  83. Frame 2472
    Intel Xeon E52770 x2 @ 2.60GHz
    96 Gb Ram
    TIME: 35:39:69
    Windows 7 Pro.
    Peak Mem 6935.90M

    Blender 2.78a

  84. 2nd bench (my 2nd pc)
    Frame 2472
    Intel Core i7-3770 Quad-Core Processor 3.4 GHz (overclocked at 4.2 GHz)
    32 Gb Ram
    TIME: 1 hour and 47:00:00
    Windows 7 Pro. / Blender 2.78a
    I have and idea…
    At first I wanted to say that I’ve been a photographer/ videographer for many years now, but I am quite new to 3D animation, so feel free to correct me if I am wrong…
    When I rendered for 2nd time with my backup pc, I notice how much waste of time/energy is to render something twice. Thinking of all those people (us) rendering the same frame made me think. So:
    The idea is to have a community in which 3d animators can help each-other in rendering… For example:
    – If there is project to be rendered, and there is a dead line for it, we could take a few frames each one of us, and render them at our machines, and upload them back to the creator… Same quality / samples etc… In that way projects like this beautiful animation could be rendered in just a few hours…
    Even better, if there was an online program that would provide an easy way to contribute those frames to users, and have back the rendered png files in correct order to the creator…

    What are your thoughts about this idea?
    Thank you for reading…

    • This is not an active blog, the movie project ended 1.5 year ago. Check ‘support’ for better places.

    • Brandon Chapman says:

      This idea is called distributed computing or more specifically distributed rendering. It’s existed since the early days of the internet. Look into boinc. SETI@home was the first time I used it back in the 90s. Blender has a channel for it.

  85. SpriteYeti says:

    Did a few test with this old benchmark blend, wanted to see what my old cpu could do. 1x Intel Xeon E5 v4 2011-3 18 core 36 thread 32GB ram, windows 10, blender 2.78c.
    2048×858 resolution, render time of 26:13 (benchmark unchanged, running render from command line)
    7680×4320 resolution, render time of 2:20:44 (128 samples)

    Got the Cosmos Laundromat movie on Bluray from the blender store ages back, so don’t need to render the film to watch it. But still had a little go at rendering a few seconds animation from the benchmark blend, I adjusted the samples down to 128 to try and speed the frame render rate up a little for my pc. Took between 18-20 min on average a frame, so under 16 hours approx to render 49 frames, to get just over 2 seconds of Victor and Franck running at 24fps 2048×858. Only had one problem with frame 2443 that crashed when running in the batch, rendered it again seperate.
    blender -b -y benchmark.blend -o //PNG -t 36 -f 2425..2473

  86. Brandon Chapman says:

    I successfully ran this benchmark with
    GPU (3) 980ti texture limit 2048 + culling.
    CPU G3258
    8GB system ram


  87. Brandon Chapman says:

    I decreased my time substantially, and am at the top of the heap.

    same settings save 384×384 tile size (needed for GPU)

  88. analogo says:

    Dual XEON E5-2680v3
    24 cores (48 threads)
    Win 10 Pro 64bit
    64GB RAM

    Frame: 2472
    RenderTime: 20:03:45 (1203.45 seconds)
    Mem: 6683.33M, Peak: 6779.25M

  89. Christopher Jones says:


    The sheep (Franck) shows up naked when the file is opened and cycle renders naked also…. there is a red circle on top of the eye in the outliner. I am not the most knowledgeable with blender but I have tried toggling on all the fur in the outliner to no avail. Render still shows none of the Sheep looking wool fur. What am I doing wrong?

    I am running Blender 2.79 and also had the same results in 2.74

    i7 – 7700k
    EVGA 1080 Hybrid
    Windows 10 Pro

  90. Ram says:

    Dual Xeon Silver 4110 2.2 ghz (3 turbo)
    20 Cores
    Quadro p 4000, 64 gb ram
    Win – 10

    Render Time – 27:28:59

  91. I’d like to claim the first sub 5 minute time at 4:35.06 using one of the University of Waikato’s new Driving Sim boxes.

    As you would expect there are a few tricks. Mainly using one of the new nightly builds with combined CPU+GPU compute. I set the tile size to 16×16 and the thread count to GPUs + CPU cores.

    Machine is an overclocked i9-7980xe with three 1080ti’s. Win 10 .

    I look forward to see what those 8 GPU servers out there spit out!

    (And BTW, a truly great movie – incredible concept and immaculately rendered!)

  92. Steen Winther says:

    Stock Threadripper 1950X on Windows 7Pro – 2x8GB DDR4 RAM@2166
    Render time: 27:25.64

  93. Christof says:

    6700k with 32GB@3000
    Vega Frontier Edition Liquid

    Render Time: 22:02.50

  94. Ludo says:

    AMD Ryzen 1700X 8 cores 16 threads @ 3.4GHz , 2x8GB DDR4 3000
    AMD RX580
    Windows 10 pro
    Blender 2.79

    Render time : 44:36.76

  95. Tyler Furby says:

    Windows 10 Pro x64 Build 1709
    Intel i9-7980XE (18 Cores) @4.3ghz
    32 GB of DDR4 3200mhz
    GPU: ASUS ROG STRIX GTX 1080ti(x2)
    Render Time 06:41.32 (Just under 7 minutes)

  96. ME says:

    Windows 10 x64
    AMD Threadripper 1950x (pstate overclock to 3.9GHz)
    32GB DDR4-3200
    GPU Quadro K1200
    Render time: 20:37.60

  97. Tocamac says:

    Intel i7-8086K (6C/12T) @ 5.2GHz (1.31V)
    32GB DDR4-3200
    nVidia GTX1080Ti (not used)

    36 min 10.63 seconds

    This is a speedy li’l thing, this CPU. Haven’t got my Noctua cooler yet but I reckon this one will easily clock higher with a few more milli-volts!

  98. Josh says:

    Intel Xeon E5-1650 Sandy Bridge E (6C/12T) @ 4ghz
    16Gb DDR3 1600
    No GFX used
    1hr 00 seconds

    Not bad for an old girl!

  99. Josh says:

    Intel Xeon E5-1650 Sandy Bridge E (6C/12T) @ 4.0 Ghz
    16 Gb DDR3 1600
    No Gfx used

  100. Philippe says:

    Windows 10 64bit, Blender 2.79b
    AMD Threadripper 2950x (16C/32T), stock frequencies
    32 GB DDR4 3200 CL14, G.Skill FlareX
    Asrock Taichi x399 Motherboard
    2x GTX 1080ti

    Render time: 19 Minutes in CPU mode

  101. Philippe says:

    Windows 10 64bit, Blender 2.79b
    AMD Threadripper 2950x (16C/32T), stock frequencies
    32 GB DDR4 3200 CL14, G.Skill FlareX
    Asrock Taichi x399 Motherboard
    2x GTX 1080ti

    Render time: 9:30 Minutes in pure GPUmode

  102. 7 minutes 12 seconds (GPU only) says:

    Windows 10 64-bit Blender 2.80 Alpha 2
    Intel i7-7700K 32 GB DDR4 (4C/8T) stock settings
    ASUS B250
    8x GTX1070Ti
    Total Render time: 7 minutes 12 seconds (GPU only)
    note: image begins rendering on-screen at the 5 minute and 30 second mark.

  103. Joshua Jay says:

    Windows 10 64 bit, Fall Creator update Blender 2.79a
    i7 4790K (4C/8T) 4.4Ghz
    32gb DDR3 1600Mhz
    Gigabyte Z97X Gaming 3
    1 Hour 11 Minutes 9 Seconds in CPU mode

  104. arabek says:

    Blender 2.8 beta with GPU Compute
    (set to share between stock 1080 (8GB version) and stock Threadripper 1950x)
    64GB DDR4@3200 CL???
    ASUS ROG Zenith Extreme
    my own gentoo setup

    Render time: 7:45.56

  105. kibatronic says:

    Blender 2.79.7
    i7 7700k @ 4.8GHz
    16GB RAM
    AMD Radeon VII
    Windows 10 x64

    13:09 minutes

  106. Shawn says:

    Blender 2.80 beta (compiled from source)
    i7-5930K CPU @ 3.50GHz
    32GB RAM
    1 RTX 2080 Ti
    Ubuntu 18.04
    Cuda 10.0 driver
    GPU + CPU rendering


  107. Enrique says:

    A venerable Macpro 5.1 , OSX
    2 x X5690 3,46
    64 Gb Ram
    Max RAM usage: 13, 65 gb

  108. Enrique says:

    Hi, HP620

    2x E5-2660V2 (20 cores, 40 threads)
    64 gb RAM

    28′ 32″

  109. karpu says:

    ubuntu 19.04
    i7 7700k
    32gb RAM
    Cuda 10.0
    GPU rendering

  110. karpu says:

    ubuntu 19.04
    i7 7700k
    32gb RAM
    Cuda 10.0
    Blender 2.80
    GPU+CPU rendering

  111. Stewart Carson says:

    Just tested this out on my updated PC,
    AMD Ryzen 9 3900X
    32GB RAM
    GTX 1070
    Blender 2.8
    Time: 13:05 Minutes

  112. Windows 10 running Coreprio
    AMD 2990wx @ oc stable 3.5 ghz (32 cores)
    2 x 1080ti
    64GB RAM
    Blender 2.81
    Time: 4:26 Minutes
    CPU+GPU render 16×16 tile size

  113. bax5000 says:

    My new Rig:
    Ryzen 9 3900X all cores @ 4,375 GHz air cooled, max. 84 °C
    64GB DDR4 3600
    MSI GTX 2080 Super
    Blender 2.81
    Time for CPU-Render: 11:45.46

Comments are closed.