Explore the complete details of Quadro 5000M, including specs, performance benchmarks
The Quadro 5000M GPU by NVIDIA. features a Fermi (2010−2014) architecture. with 320 CUDA cores. It offers GDDR5 memory with 1792 MB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 76.8 GB/s GB/s. With a power consumption (TDP) of 100W. it supports DirectX 12 (11_0), Vulkan N/A for enhanced performance.
Basic details about the Quadro 5000M, including manufacturer, ranking, and release date.
Title | Quadro 5000M |
---|---|
Manufacturer | NVIDIA |
Ranking | 656 |
Popularity Rank | not in top-100 |
Architecture | Fermi (2010−2014) |
GPU code name | GF100 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 27 July 2010 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro 5000M.
Core Clock Speed | 405 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.5184 TFLOPS |
No of Transistors | 3,100 million |
CUDA Cores | 320 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 16.20 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | MXM-B (3.0) |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | + |
DLSS | N/A |
TMUs | 40 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 1792 MB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 600 MHz |
Memory Bandwidth | 76.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 100 W |
---|---|
Power Efficiency | 3.68 |
Manufacturing Process | 40 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.