Seagate ST240HM001 ユーザーズマニュアル

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S
EAGATE 
600 SSD P
RODUCT 
M
ANUAL
, R
EV
. B
  5
  
2.4
P
ERFORMANCE
, R
ECORDING AND INTERFACE TECHNOLOGY
2.4.1
Interface technology
480GB models
240GB models
120GB models
Interface
Serial ATA (SATA-II)
Interface Speeds Supported
6Gb/s, 3Gb/s, 1.5Gb/s
Maximum Burst Transfer Rate
600MB/s
Hot Plug Support
Yes
Native Command Queuing Support
Yes
Trim Support
Yes
2.4.2
Recording technology
Flash Memory Type 
NAND MLC
Emulated LBA Size (Bytes)
512
Default transfer alignment offset
0
Typical Data Retention with Power removed (at 30°C)
12 months
2.4.3
Performance
Notes
480GB
240GB
120GB
Sustained sequential 128KB read/write data transfer rate (MB/s)
530/440
Peak 4KB random read/write command rate (KIOPs)
80/70
[1]
Testing performed at Queue Depth = 32, Sequentially Preconditioned drive, using IOMeter 2006.7.27.
[2]
Testing performed at Queue Depth = 32, Randomly Preconditioned drive, using IOMeter 2006.7.27.
Note.
ttp://www.iometer.org/
http://sourceforge.net/projects/iometer/
IOMeter  is licensed under the Intel Open Source License and the GNU General Public License. Intel does not 
endorse any IOMeter results.  
 
Peak performance is defined as the typical best case performance that the product will be able to achieve when the 
product is preconditioned as mentioned and host commands are aligned on 4KB boundaries.
Sustained performance is defined as the typical worst case pe rformance that the product will  be able to achieve when the 
product is preconditioned as mentioned and host commands are aligned on 4KB boundaries. 
Due to the nature of Flash memory technologies there are many factors that can result in values different than those stated 
in this specification. Some discrepancies can be caused by  bandwidth limitations in the host adapter, operating system, or 
driver limitations. It is not the intent of this manual to cover all possible causes of performance discrepancies.
When evaluating performance of SSD devices, it is recommended  to measure performance of the device in a method that 
resembles the targeted application using real world data and workloads. Test time should also be adequately large to ensure 
that sustainable metrics and measures are obtained.