Performance to price ratio. The higher, the better.
Tesla M2090 vs Quadro K2200M
Aggregated performance score
Tesla M2090 outperforms Quadro K2200M by 6% based on our aggregated benchmark results.
General info
GPU architecture, market segment, value for money and other general parameters compared.
Place in performance ranking | 449 | 430 |
Place by popularity | not in top-100 | not in top-100 |
Value for money | 3.74 | 0.52 |
Architecture | Maxwell (2014−2018) | Fermi 2.0 (2010−2014) |
GPU code name | GM107 | GF110 |
Market segment | Mobile workstation | Workstation |
Release date | 19 July 2014 (9 years old) | 25 July 2011 (12 years old) |
Current price | $228 | $1844 |
K2200M has 619% better value for money than Tesla M2090.
Technical specs
General performance parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. These parameters indirectly speak of performance, but for precise assessment you have to consider their benchmark and gaming test results. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.
Pipelines / CUDA cores | 640 | 512 |
Core clock speed | 667 MHz | 651 MHz |
Number of transistors | 1,870 million | 3,000 million |
Manufacturing process technology | 28 nm | 40 nm |
Power consumption (TDP) | 65 Watt | 250 Watt |
Texture fill rate | 26.68 | 41.66 |
Floating-point performance | 853.8 gflops | 1,331.2 gflops |
Size and compatibility
Information on Quadro K2200M and Tesla M2090 compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop video cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility). For notebook video cards it's notebook size, connection slot and bus, if the video card is inserted into a slot instead of being soldered to the notebook motherboard.
Interface | MXM-A (3.0) | PCIe 2.0 x16 |
Length | no data | 248 mm |
Width | no data | 2-slot |
Supplementary power connectors | None | 1x 6-pin + 1x 8-pin |
Memory
Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.
Memory type | GDDR5 | GDDR5 |
Maximum RAM amount | 2 GB | 6 GB |
Memory bus width | 128 Bit | 384 Bit |
Memory clock speed | 5012 MHz | 3696 MHz |
Memory bandwidth | 80 GB/s | 177.4 GB/s |
Video outputs and ports
Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.
Display Connectors | No outputs | No outputs |
Display Port | 1.2 | no data |
Technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
3D Vision Pro | + | no data |
Mosaic | + | no data |
nView Display Management | + | no data |
Optimus | + | no data |
API support
List of supported graphics and general-purpose computing APIs, including their specific versions.
DirectX | 12 | 12 (11_0) |
Shader Model | 5 | 5.1 |
OpenGL | 4.5 | 4.6 |
OpenCL | 1.2 | 1.1 |
Vulkan | + | N/A |
CUDA | 5.0 | 2.0 |
Gaming performance
Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.
Advantages and disadvantages
Performance score | 8.95 | 9.47 |
Recency | 19 July 2014 | 25 July 2011 |
Maximum RAM amount | 2 GB | 6 GB |
Chip lithography | 28 nm | 40 nm |
Power consumption (TDP) | 65 Watt | 250 Watt |
Given the minimal performance differences, no clear winner can be declared between Quadro K2200M and Tesla M2090.
Be aware that Quadro K2200M is a mobile workstation card while Tesla M2090 is a workstation one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
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