Explore the complete details of GeForce GTX 560 SE, including specs, performance benchmarks
The GeForce GTX 560 SE GPU by NVIDIA. features a Fermi 2.0 (2010−2014) architecture. with 288 CUDA cores. It offers GDDR5 memory with 1 GB GB capacity and a 192 Bit-bit interface. delivering a bandwidth of 91.87 GB/s GB/s. With a power consumption (TDP) of 150W. it supports DirectX 12 (11_0), Vulkan N/A for enhanced performance.
Basic details about the GeForce GTX 560 SE, including manufacturer, ranking, and release date.
Title | GeForce GTX 560 SE |
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Manufacturer | NVIDIA |
Ranking | 682 |
Popularity Rank | not in top-100 |
Architecture | Fermi 2.0 (2010−2014) |
GPU code name | GF114 |
Market Segmente | Desktop |
Length - Width | 210 mm - 2-slot |
Release Date | 20 February 2012 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce GTX 560 SE.
Core Clock Speed | 736 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 0.8479 TFLOPS |
No of Transistors | 1,950 million |
CUDA Cores | 288 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 35.33 |
ROPs | 24 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 2x DVI, 1x mini-HDMI |
HDMI | 1 |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | 2.1 |
DLSS | N/A |
TMUs | 48 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
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Maximum RAM | 1 GB |
Memory Bus Width | 192 Bit |
Memory Clock Speed | 957 MHz |
Memory Bandwidth | 91.87 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 150 W |
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Power Efficiency | 2.20 |
Manufacturing Process | 40 nm |
Supplementary Power Connectors | 2x 6-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.