3 Replies Latest reply: Dec 4, 2011 1:16 PM by SP Forsythe
CranberryJuice Level 1 Level 1 (5 points)

Hi guys

 

I have a 2011 Mba (core i7 and got lucky getting the 256gb ssd from Samsung on my Mac-), It is my first Mac after 14 years of PCs with Windows.

 

I am not sure about the "wear leveling count" on the drive. Neither am I sure about the program I am using for reading the attributes, whether it's good or not (SMART Utilities)

 

I have basically done only surfing, no downloading, only 2gb music on it that I transferred from my old computer. So That's why I think it is a little bit strange, if I haven't even transferred my personal files yet and I am seeing this.

 

The "wear leveling count"
(Raw) = 1
Value = 99
Worst = 99
Threshold= 17

 

 

Should I start worrying? I also attached a screenshot of the SMART results.

 

 

Screen Shot 2011-12-04 at 21.53.39.png


MacBook Air, Mac OS X (10.7.1)
  • SP Forsythe Level 5 Level 5 (5,250 points)

    You are perfectly fine.

     

    I understand that the higher the normalized attribute value numbers (not the raw), the better. Only when the score is low enough to reach threshold, is there worry.

     

    From the application FAQ's: "The manufacturer defines a threshold number against which the “value” is compared, and if the “value” drops below that threshold, SMART reports that attribute as FAILING_NOW, and sets the overall health as FAILED."

  • CranberryJuice Level 1 Level 1 (5 points)

    Thank you!

     

    What does "Raw" exactly means? In my case too...

     

    I have Applecare for 3 years... so I am covered, but just want to know a bit more, just in case.

  • SP Forsythe Level 5 Level 5 (5,250 points)

    "Raw" is the data attribute the drive itself outputs, when the drive is tested. The value itself may not correspond to an actual "human readable" figure, but one that needs to be "translated" to achieve either a relative, interpretive value, or an actual normalized value.

     

    Most of the normalized values in the SMART test are interpretive values, relative to a possible high good score, say of "99".

     

    An example (not from this app): A device may output a Celcius temperature reading. The program might be set up to display that reading in Fahrenheit. Therefore, the raw might be (0) zero, but the "normalized" figure would be then displayed as "32".

     

    Another example might be that the device outputs a figure of 1,000,000 (one million), but the threshold "bad number" is a raw 10,000,000,000 (ten billion). The normalized figure might be a score of "99" out of a possible "99", and the worst it ever tested was "99" as well.