Explore the complete details of Quadro 4000M, including specs, performance benchmarks
The Quadro 4000M GPU by NVIDIA. features a Fermi (2010−2014) architecture. with 336 CUDA cores. It offers GDDR5 memory with 2 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 80 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 4000M, including manufacturer, ranking, and release date.
Title | Quadro 4000M |
---|---|
Manufacturer | NVIDIA |
Ranking | 777 |
Popularity Rank | not in top-100 |
Architecture | Fermi (2010−2014) |
GPU code name | GF104 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 22 February 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro 4000M.
Core Clock Speed | 475 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.6384 TFLOPS |
No of Transistors | 1,950 million |
CUDA Cores | 336 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 26.60 |
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 | 2.1 |
DLSS | N/A |
TMUs | 56 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 625 MHz |
Memory Bandwidth | 80 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 100 W |
---|---|
Power Efficiency | 2.29 |
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.