Explore the complete details of Quadro FX 5800, including specs, performance benchmarks
The Quadro FX 5800 GPU by NVIDIA. features a Tesla 2.0 (2007−2013) architecture. with 240 CUDA cores. It offers GDDR3 memory with 4 GB GB capacity and a 512 Bit-bit interface. delivering a bandwidth of 102.4 GB/s GB/s. With a power consumption (TDP) of 189W. it supports DirectX 11.1 (10_0), Vulkan N/A for enhanced performance.
Basic details about the Quadro FX 5800, including manufacturer, ranking, and release date.
Title | Quadro FX 5800 |
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Manufacturer | NVIDIA |
Ranking | 791 |
Popularity Rank | not in top-100 |
Architecture | Tesla 2.0 (2007−2013) |
GPU code name | GT200B |
Market Segmente | Workstation |
Length - Width | 267 mm - 2-slot |
Release Date | 11 November 2008 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro FX 5800.
Core Clock Speed | 610 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 0.6221 TFLOPS |
No of Transistors | 1,400 million |
CUDA Cores | 240 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 48.80 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 2x DVI, 1x DisplayPort, 1x S-Video |
HDMI | N/A |
DirectX | 11.1 (10_0) |
Shader Model | 4.0 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | 1.3 |
DLSS | N/A |
TMUs | 80 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
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Maximum RAM | 4 GB |
Memory Bus Width | 512 Bit |
Memory Clock Speed | 800 MHz |
Memory Bandwidth | 102.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 189 W |
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Power Efficiency | 1.14 |
Manufacturing Process | 55 nm |
Supplementary Power Connectors | 1x 6-pin + 1x 8-pin |
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.