Explore the complete details of Quadro FX 380 LP, including specs, performance benchmarks
The Quadro FX 380 LP GPU by NVIDIA. features a Tesla 2.0 (2007−2013) architecture. with 16 CUDA cores. It offers GDDR3 memory with 512 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 12.8 GB/s GB/s. With a power consumption (TDP) of 28W. it supports DirectX 11.1 (10_1), Vulkan N/A for enhanced performance.
Basic details about the Quadro FX 380 LP, including manufacturer, ranking, and release date.
Title | Quadro FX 380 LP |
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Manufacturer | NVIDIA |
Ranking | 1323 |
Popularity Rank | not in top-100 |
Architecture | Tesla 2.0 (2007−2013) |
GPU code name | GT218 |
Market Segmente | Workstation |
Length - Width | 168 mm - 1-slot |
Release Date | 1 December 2009 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro FX 380 LP.
Core Clock Speed | 550 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 0.044 TFLOPS |
No of Transistors | 260 million |
CUDA Cores | 16 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 4.400 |
ROPs | 4 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI, 1x DisplayPort |
HDMI | N/A |
DirectX | 11.1 (10_1) |
Shader Model | 4.1 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | 1.2 |
DLSS | N/A |
TMUs | 8 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 512 MB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 800 MHz |
Memory Bandwidth | 12.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 28 W |
---|---|
Power Efficiency | 0.93 |
Manufacturing Process | 40 nm |
Supplementary Power Connectors | None |
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.