Tech content trusted by users in North America and around the world
7,297 Reviews & Articles | 53,241 News Posts

Lenovo ThinkStation P900 Workstation Review

By: William Harmon | Servers in IT/Datacenter | Posted: Mar 19, 2015 8:09 pm
TweakTown Rating: 98%Manufacturer: Lenovo

Geekbench

 

Geekbench 3 is a processor benchmark that uses single-core and multi-core performance simulating real-world scenarios.

 

lenovo-thinkstation-p900-workstation-review_49

 

In Geekbench, we see strong scores in both single-threaded and multi-threaded scores. This shows the P900 is a well-rounded system with powerful processors.

 

PCMark8

 

PCMark 8 is the latest version in a series of PC benchmarking tools by Futuremark. It is fully compatible with Windows 8, and it can be run in Windows 7.

 

lenovo-thinkstation-p900-workstation-review_50

 

We see very strong results in PCMark 8, which runs a test on the complete system. Different components like GPUs and storage can have a big effect on these scores.

 

SPECwpc

 

lenovo-thinkstation-p900-workstation-review_51

 

We also see impressive results with SPECwpc. Some of these tests rely on storage devices to load files; the use of a SSD would boost these scores. You can see the tests on this benchmark that take advantage of extra cores, and you can also see ones that take full advantage of single-threaded speed.

 

GPU Testing

 

We have had a number of video card in the lab over time, and we thought we would show how some of these cards perform. We no longer have access to many of these cards, so we cannot rerun them on different tests.

 

The Lenovo P900 workstation we received came equipped with an NVIDIA Quadro K5200 video card. For these tests, we will show AIDA64 GPGPU benchmark results. Let's start with GPGPU Memory benchmark. According to AIDA64:

 

"Memory Read: Measures the bandwidth between the GPU device and the CPU, effectively measuring the performance the GPU could copy data from its own device memory into the system memory. It is also called Device-to-Host Bandwidth.

 

Memory Write: Measures the bandwidth between the CPU and the GPU device, effectively measuring the performance the GPU could copy data from the system memory into its own device memory. It is also called Host-to-Device Bandwidth.

 

Memory Copy: Measures the performance of the GPU's own device memory, effectively measuring the performance the GPU could copy data from its own device memory to another place in the same device memory. It is also called Device-to-Device Bandwidth."

 

lenovo-thinkstation-p900-workstation-review_52

 

Each increase in video card version shows an increase in each result. Moving to two cards in SLI shows almost double the performance over using just one card. Also according to AIDA64:

 

"Single-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with single-precision (32-bit, "float") floating-point data.

 

Double-Precision FLOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as FLOPS (Floating-Point Operations Per Second), with double-precision (64-bit, "double") floating-point data. Not all GPUs support double-precision floating-point operations. For example, all current Intel desktop and mobile graphics devices only support single-precision floating-point operations."

 

lenovo-thinkstation-p900-workstation-review_53

 

Just as we saw in the memory tests, here each increase in video card version shows an increase in each result. Also, moving to two cards in SLI shows almost double the performance over using just one card.

 

According to AIDA64:

 

"24-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 24-bit integer ("int24") data. This special data type are defined in OpenCL on the basis that many GPUs are capable of executing int24 operations via their floating-point units, effectively increasing the integer performance by a factor of 3 to 5, as compared to using 32-bit integer operations.

 

32-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 32-bit integer ("int") data.

 

64-bit Integer IOPS: Measures the classic MAD (Multiply-Addition) performance of the GPU, otherwise known as IOPS (Integer Operations Per Second), with 64-bit integer ("long") data. Most GPUs do not have dedicated execution resources for 64-bit integer operations, so instead they emulate the 64-bit integer operations via existing 32-bit integer execution units. In such case 64-bit integer performance could be very low."

 

lenovo-thinkstation-p900-workstation-review_54

 

Once again, just like in the other tests, each increase in video card version shows an increase in each result. Moving to two cards in SLI shows almost double the performance over using just one card.

    PRICING: You can find products similar to this one for sale below.


    United States: Find other tech and computer products like this over at Amazon's website.

    United Kingdom: Find other tech and computer products like this over at Amazon UK's website.

    Canada: Find other tech and computer products like this over at Amazon Canada's website.

    We at TweakTown openly invite the companies who provide us with review samples / who are mentioned or discussed to express their opinion of our content. If any company representative wishes to respond, we will publish the response here.

Related Tags

Got an opinion on this content? Post a comment below!
Subscribe to our Newsletter

Latest News Posts

View More News Posts
View Our Latest Videos

Forum Activity

View More Forum Posts

Press Releases

View More Press Releases
loading