Explore the complete details of Quadro K4200, including specs, performance benchmarks
The Quadro K4200 GPU by NVIDIA. features a Kepler (2012−2018) architecture. with 1344 CUDA cores. and a boost clock of 784 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 172.8 GB/s GB/s. With a power consumption (TDP) of 108W. it supports DirectX 12 (11_0), Vulkan + for enhanced performance.
Basic details about the Quadro K4200, including manufacturer, ranking, and release date.
Title | Quadro K4200 |
---|---|
Manufacturer | NVIDIA |
Ranking | 449 |
Popularity Rank | not in top-100 |
Architecture | Kepler (2012−2018) |
GPU code name | GK104 |
Market Segmente | Workstation |
Length - Width | 241 mm - 1-slot |
Release Date | 22 July 2014 |
Details on clock speeds, cores, and floating-point processing power of Quadro K4200.
Core Clock Speed | 771 MHz |
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Boost Clock Speed | 784 MHz |
Floating Point Processing Power | 2.107 TFLOPS |
No of Transistors | 3,540 million |
CUDA Cores | 1344 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 87.81 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI, 2x DisplayPort |
HDMI | N/A |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | + |
CUDA | 3.0 |
DLSS | N/A |
TMUs | 112 |
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 | 1350 MHz |
Memory Bandwidth | 172.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 108 W |
---|---|
Power Efficiency | 7.11 |
Manufacturing Process | 28 nm |
Supplementary Power Connectors | 1x 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.