Project 42 Geuldoche Mac OS

Project 42 Geuldoche Mac OS

May 27 2021

Project 42 Geuldoche Mac OS

  1. Project 42 Geuldoche Mac Os 11
  2. Project 42 Geuldoche Mac Os 8
  3. Project 42 Geuldoche Mac Os 11
AstroPulse v7
PlatformVersionCreatedAverage computing
Linux/x867.007 Oct 2014, 21:10:29 UTC20 GigaFLOPS
Linux/x867.04 (sse)7 Oct 2014, 21:10:29 UTC16 GigaFLOPS
Linux/x867.04 (sse2)7 Oct 2014, 21:10:29 UTC21 GigaFLOPS
Windows/x867.007 Oct 2014, 21:10:29 UTC59 GigaFLOPS
Windows/x867.03 (sse)7 Oct 2014, 21:10:29 UTC191 GigaFLOPS
Windows/x867.09 (opencl_ati_100)23 Apr 2015, 18:50:41 UTC126 GigaFLOPS
Windows/x867.09 (opencl_intel_gpu_102)23 Apr 2015, 18:50:41 UTC102 GigaFLOPS
Windows/x867.10 (cuda_opencl_100)23 Apr 2015, 18:50:41 UTC0 GigaFLOPS
Windows/x867.10 (cuda_opencl_cc1)23 Apr 2015, 18:50:41 UTC0 GigaFLOPS
Windows/x867.10 (opencl_nvidia_100)23 Apr 2015, 18:50:41 UTC358 GigaFLOPS
Windows/x867.10 (opencl_nvidia_cc1)23 Apr 2015, 18:50:41 UTC10 GigaFLOPS
Mac OS X/Power PC7.007 Oct 2014, 21:10:29 UTC1 GigaFLOPS
Linux/x86_647.007 Oct 2014, 21:10:29 UTC10 GigaFLOPS
Linux/x86_647.04 (sse2)7 Oct 2014, 21:10:29 UTC130 GigaFLOPS
Linux/x86_647.08 (cuda_opencl_100)21 May 2015, 23:56:05 UTC2 GigaFLOPS
Linux/x86_647.08 (cuda_opencl_cc1)21 May 2015, 23:56:05 UTC1 GigaFLOPS
Linux/x86_647.08 (opencl_ati_100)21 May 2015, 23:56:05 UTC12 GigaFLOPS
Linux/x86_647.08 (opencl_nvidia_100)21 May 2015, 23:56:05 UTC57 GigaFLOPS
Linux/x86_647.08 (opencl_nvidia_cc1)21 May 2015, 23:56:05 UTC4 GigaFLOPS
Windows/x86 running on an AMD x86_64 or Intel EM64T CPU7.03 (sse2)7 Oct 2014, 21:10:29 UTC271 GigaFLOPS
Mac OS X/64-bit Intel7.01 (sse3)7 Oct 2014, 21:10:29 UTC42 GigaFLOPS
Mac OS X/64-bit Intel7.07 (opencl_ati_mac)23 Apr 2015, 18:50:41 UTC189 GigaFLOPS
Mac OS X/64-bit Intel7.07 (opencl_intel_gpu_mac)23 Apr 2015, 18:50:41 UTC35 GigaFLOPS
Mac OS X/64-bit Intel7.07 (opencl_nvidia_mac_old)23 Apr 2015, 18:50:41 UTC35 GigaFLOPS
SETI@home v8
PlatformVersionCreatedAverage computing
Linux/x868.0518 May 2016, 1:10:51 UTC12 GigaFLOPS
Windows/x868.0030 Dec 2015, 21:14:57 UTC133 GigaFLOPS
Windows/x868.00 (cuda23)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Windows/x868.00 (cuda32)22 Jan 2016, 0:38:52 UTC12 GigaFLOPS
Windows/x868.00 (cuda42)22 Jan 2016, 0:38:52 UTC43 GigaFLOPS
Windows/x868.00 (cuda50)22 Jan 2016, 0:38:52 UTC47 GigaFLOPS
Windows/x868.20 (opencl_intel_gpu_sah)14 Dec 2016, 0:46:29 UTC97 GigaFLOPS
Windows/x868.22 (opencl_nvidia_SoG)28 Dec 2016, 23:34:07 UTC460 GigaFLOPS
Windows/x868.24 (opencl_ati5_cat132)15 Jan 2020, 17:42:44 UTC14 GigaFLOPS
Windows/x868.24 (opencl_ati5_nocal)15 Jan 2020, 17:42:44 UTC49 GigaFLOPS
Windows/x868.24 (opencl_ati5_sah)15 Jan 2020, 17:42:44 UTC3 GigaFLOPS
Windows/x868.24 (opencl_ati5_SoG)15 Jan 2020, 17:42:44 UTC4 GigaFLOPS
Windows/x868.24 (opencl_ati5_SoG_cat132)15 Jan 2020, 17:42:44 UTC11 GigaFLOPS
Windows/x868.24 (opencl_ati5_SoG_nocal)15 Jan 2020, 17:42:44 UTC50 GigaFLOPS
Windows/x868.24 (opencl_ati_cat132)15 Jan 2020, 17:42:44 UTC7 GigaFLOPS
Windows/x868.24 (opencl_ati_nocal)15 Jan 2020, 17:42:44 UTC37 GigaFLOPS
Windows/x868.24 (opencl_ati_sah)15 Jan 2020, 17:42:44 UTC0 GigaFLOPS
Mac OS X/Power PC8.037 Jan 2016, 19:46:50 UTC0 GigaFLOPS
Mac OS X/Intel8.03 (osx_12)7 Jan 2016, 22:26:19 UTC6 GigaFLOPS
Mac OS X/Intel8.05 (mac_intel32)1 Oct 2018, 20:31:27 UTC15 GigaFLOPS
Linux/x86_648.0030 Dec 2015, 21:14:57 UTC114 GigaFLOPS
Linux/x86_648.01 (cuda60)18 May 2016, 1:10:51 UTC23 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_cat132)5 Jan 2017, 23:13:45 UTC1 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_nocal)5 Jan 2017, 23:13:45 UTC42 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_sah)5 Jan 2017, 23:13:45 UTC0 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_SoG)5 Jan 2017, 23:13:45 UTC2 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_SoG_cat132)5 Jan 2017, 23:13:45 UTC5 GigaFLOPS
Linux/x86_648.22 (opencl_ati5_SoG_nocal)5 Jan 2017, 23:13:45 UTC11 GigaFLOPS
Linux/x86_648.22 (opencl_atiapu_sah)5 Jan 2017, 23:13:45 UTC5 GigaFLOPS
Linux/x86_648.22 (opencl_ati_cat132)5 Jan 2017, 23:13:45 UTC1 GigaFLOPS
Linux/x86_648.22 (opencl_ati_nocal)5 Jan 2017, 23:13:45 UTC17 GigaFLOPS
Linux/x86_648.22 (opencl_ati_sah)5 Jan 2017, 23:13:45 UTC9 GigaFLOPS
Linux/x86_648.22 (opencl_intel_gpu_sah)5 Jan 2017, 23:13:45 UTC6 GigaFLOPS
Linux/x86_648.22 (opencl_nvidia_sah)5 Jan 2017, 23:13:45 UTC12 GigaFLOPS
Linux/x86_648.22 (opencl_nvidia_SoG)5 Jan 2017, 23:13:45 UTC31 GigaFLOPS
Windows/x86 running on an AMD x86_64 or Intel EM64T CPU8.058 Mar 2017, 18:05:22 UTC189 GigaFLOPS
Windows/x86 running on an AMD x86_64 or Intel EM64T CPU8.08 (alt)19 Jul 2017, 16:21:53 UTC628 GigaFLOPS
Android (ARM processor)8.00 (armv6-neon)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv6-neon-nopie)22 Jan 2016, 0:38:52 UTC0 GigaFLOPS
Android (ARM processor)8.00 (armv6-vfp)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv6-vfp-nopie)22 Jan 2016, 0:38:52 UTC0 GigaFLOPS
Android (ARM processor)8.00 (armv7-neon)22 Jan 2016, 0:38:52 UTC2 GigaFLOPS
Android (ARM processor)8.00 (armv7-neon-nopie)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv3)22 Jan 2016, 0:38:52 UTC2 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv3-nopie)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv3d16)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv3d16-nopie)22 Jan 2016, 0:38:52 UTC0 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv4)22 Jan 2016, 0:38:52 UTC1 GigaFLOPS
Android (ARM processor)8.00 (armv7-vfpv4-nopie)22 Jan 2016, 0:38:52 UTC0 GigaFLOPS
Android (Intel/AMD x86 processor)8.00 (nopie)22 Jan 2016, 0:38:52 UTC2 GigaFLOPS
Android (Intel/AMD x86 processor)8.00 (pie)22 Jan 2016, 0:38:52 UTC0 GigaFLOPS
Mac OS X/64-bit Intel8.00 (opencl_intel_gpu_sah)22 Jan 2016, 0:38:52 UTC37 GigaFLOPS
Mac OS X/64-bit Intel8.03 (osx_12)7 Jan 2016, 22:26:19 UTC8 GigaFLOPS
Mac OS X/64-bit Intel8.051 Oct 2018, 20:31:27 UTC71 GigaFLOPS
Mac OS X/64-bit Intel8.11 (cuda42_mac)16 Nov 2016, 1:55:03 UTC27 GigaFLOPS
Mac OS X/64-bit Intel8.11 (cuda75_mac)16 Nov 2016, 1:55:03 UTC11 GigaFLOPS
Mac OS X/64-bit Intel8.19 (opencl_nvidia_mac_old)28 Dec 2016, 23:34:07 UTC12 GigaFLOPS
Mac OS X/64-bit Intel8.20 (opencl_ati5_mac)17 Oct 2017, 23:49:50 UTC30 GigaFLOPS
Mac OS X/64-bit Intel8.20 (opencl_ati5_SoG_mac)28 Dec 2016, 23:34:07 UTC48 GigaFLOPS
Linux (ARM processor)8.068 Mar 2017, 18:05:22 UTC19 GigaFLOPS
Android (ARM64 processor)8.00 (arm64-neon)22 Jan 2016, 0:38:52 UTC2 GigaFLOPS
Android (ARM64 processor)8.00 (arm64-vfpv4)22 Jan 2016, 0:38:52 UTC4 GigaFLOPS
Android (ARM64 processor)8.014 Jan 2017, 3:33:29 UTC4 GigaFLOPS
Linux (ARM64 processor)8.028 Mar 2017, 18:15:57 UTC2 GigaFLOPS

The history of macOS, Apple's current Mac operating system originally named Mac OS X until 2012 and then OS X until 2016, began with the company's project to replace its 'classic' Mac OS. That system, up to and including its final release Mac OS 9, was a direct descendant of the operating system Apple had used in its Macintosh computers since. Choose what you like. Follow your own path. Bicycles are only for those who want to be faster, and farther away from others. Even though they were injured, e. Project management is about resources – time, money, personnel etc. But here I will concentrate on my actual experience using various products. 10 Project Management Solutions For Architects (or Anyone) Using Mac OS X - Hu.bb. Jun 17, 2020 In Mac OS Catalina, the default interactive shell is zsh. So, it’s time to change the shell to zsh. So, it’s time to change the shell to zsh. Open terminal and type the below command and press.

Google uses cookies and data to:
  • Deliver and maintain services, like tracking outages and protecting against spam, fraud, and abuse
  • Measure audience engagement and site statistics to understand how our services are used

Project 42 Geuldoche Mac Os 11

Project 42 geuldoche mac os 8If you agree, we’ll also use cookies and data to:

Project 42 Geuldoche Mac Os 8

  • Improve the quality of our services and develop new ones
  • Deliver and measure the effectiveness of ads
  • Show personalized content, depending on your settings
  • Show personalized or generic ads, depending on your settings, on Google and across the web
For non-personalized content and ads, what you see may be influenced by things like the content you’re currently viewing and your location (ad serving is based on general location). Personalized content and ads can be based on those things and your activity like Google searches and videos you watch on YouTube. Personalized content and ads include things like more relevant results and recommendations, a customized YouTube homepage, and ads that are tailored to your interests.

Project 42 Geuldoche Mac Os 11

Click “Customize” to review options, including controls to reject the use of cookies for personalization and information about browser-level controls to reject some or all cookies for other uses. You can also visit g.co/privacytools anytime.

Project 42 Geuldoche Mac OS

Leave a Reply

Cancel reply