Explore the complete details of Quadro FX 2800M, including specs, performance benchmarks
The Quadro FX 2800M GPU by NVIDIA. features a Tesla (2006−2010) architecture. with 96 CUDA cores. It offers GDDR3 memory with 1 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 64 GB/s GB/s. With a power consumption (TDP) of 75W. it supports DirectX 11.1 (10_0), Vulkan N/A for enhanced performance.
Basic details about the Quadro FX 2800M, including manufacturer, ranking, and release date.
Title | Quadro FX 2800M |
---|---|
Manufacturer | NVIDIA |
Ranking | 1132 |
Popularity Rank | not in top-100 |
Architecture | Tesla (2006−2010) |
GPU code name | G92 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 1 December 2009 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro FX 2800M.
Core Clock Speed | 600 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.288 TFLOPS |
No of Transistors | 754 million |
CUDA Cores | 96 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 28.80 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | MXM-B (3.0) |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 11.1 (10_0) |
Shader Model | 4.0 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | + |
DLSS | N/A |
TMUs | 48 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 1 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 1000 MHz |
Memory Bandwidth | 64 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 75 W |
---|---|
Power Efficiency | 1.00 |
Manufacturing Process | 65 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.