Explore the complete details of Quadro K5000M, including specs, performance benchmarks
The Quadro K5000M GPU by NVIDIA. features a Kepler (2012−2018) architecture. with 1344 CUDA cores. It offers GDDR5 memory with 4 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 96 GB/s GB/s. With a power consumption (TDP) of 100W.
Basic details about the Quadro K5000M, including manufacturer, ranking, and release date.
| Title | Quadro K5000M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 581 |
| Popularity Rank | not in top-100 |
| Architecture | Kepler (2012−2018) |
| GPU code name | GK104 |
| Market Segmente | Mobile workstation |
| Length - Width | N/A - N/A |
| Release Date | 7 August 2012 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro K5000M.
| Core Clock Speed | 601 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 1.615 TFLOPS |
| No of Transistors | 3,540 million |
| CUDA Cores | 1344 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 67.31 |
| ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
| Interface | MXM-B (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 | 112 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 4 GB |
| Memory Bus Width | 256 Bit |
| Memory Clock Speed | 750 MHz |
| Memory Bandwidth | 96 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 100 W |
|---|---|
| Power Efficiency | 4.98 |
| Manufacturing Process | 28 nm |
| Supplementary Power Connectors | N/A |
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.
