Explore the complete details of Quadro K5100M, including specs, performance benchmarks
The Quadro K5100M GPU by NVIDIA. features a Kepler (2012−2018) architecture. with 1536 CUDA cores. It offers GDDR5 memory with 8 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 115.2 GB/s GB/s. With a power consumption (TDP) of 100W.
Basic details about the Quadro K5100M, including manufacturer, ranking, and release date.
| Title | Quadro K5100M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 544 |
| 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 | 23 July 2013 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro K5100M.
| Core Clock Speed | 771 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 2.369 TFLOPS |
| No of Transistors | 3,540 million |
| CUDA Cores | 1536 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 98.69 |
| 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 | 128 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 8 GB |
| Memory Bus Width | 256 Bit |
| Memory Clock Speed | 900 MHz |
| Memory Bandwidth | 115.2 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 100 W |
|---|---|
| Power Efficiency | 5.70 |
| 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.
