Seagate ST120HM001 Computer Drive User Manual


 
SEAGATE 600 SSD PRODUCT MANUAL, REV. B 5
2.4 PERFORMANCE, RECORDING 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) [1] 530/440
Peak 4KB random read/write command rate (KIOPs) [2] 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. IOMeter is available at http://www.iometer.org/ or 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.