Explore the complete details of Quadro 5010M, including specs, performance benchmarks
The Quadro 5010M GPU by NVIDIA. features a Fermi 2.0 (2010−2014) architecture. with 384 CUDA cores. It offers GDDR5 memory with 4 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 83.2 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 5010M, including manufacturer, ranking, and release date.
Title | Quadro 5010M |
---|---|
Manufacturer | NVIDIA |
Ranking | 710 |
Popularity Rank | not in top-100 |
Architecture | Fermi 2.0 (2010−2014) |
GPU code name | GF110 |
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 5010M.
Core Clock Speed | 450 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.6912 TFLOPS |
No of Transistors | 3,000 million |
CUDA Cores | 384 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 21.60 |
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 | 2.0 |
DLSS | N/A |
TMUs | 48 |
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 | 650 MHz |
Memory Bandwidth | 83.2 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 100 W |
---|---|
Power Efficiency | 3.02 |
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.