Explore the complete details of Quadro K2200M, including specs, performance benchmarks
The Quadro K2200M GPU by NVIDIA. features a Maxwell (2014−2017) architecture. with 640 CUDA cores. It offers GDDR5 memory with 2 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 80 GB/s GB/s. With a power consumption (TDP) of 65W.
Basic details about the Quadro K2200M, including manufacturer, ranking, and release date.
| Title | Quadro K2200M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 519 |
| Popularity Rank | not in top-100 |
| Architecture | Maxwell (2014−2017) |
| GPU code name | GM107 |
| Market Segmente | Mobile workstation |
| Length - Width | N/A - N/A |
| Release Date | 19 July 2014 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro K2200M.
| Core Clock Speed | 667 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 0.8538 TFLOPS |
| No of Transistors | 1,870 million |
| CUDA Cores | 640 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 26.68 |
| ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
| Interface | MXM-A (3.0) |
|---|---|
| Display Connectors | No outputs |
| HDMI | N/A |
| DirectX | N/A |
| Shader Model | N/A |
| OpenGL | N/A |
| OpenCL | N/A |
| Vulkan | N/A |
| CUDA | N/A |
| DLSS | N/A |
| TMUs | 40 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 2 GB |
| Memory Bus Width | 128 Bit |
| Memory Clock Speed | 1253 MHz |
| Memory Bandwidth | 80 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 65 W |
|---|---|
| Power Efficiency | 9.56 |
| Manufacturing Process | 28 nm |
| Supplementary Power Connectors | None |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
