Explore the complete details of Quadro P500, including specs, performance benchmarks
The Quadro P500 GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 256 CUDA cores. and a boost clock of 1518 MHz MHz. It offers GDDR5 memory with 2 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 40.1 GB/s GB/s. With a power consumption (TDP) of 18W. it supports DirectX 12 (12_1), Vulkan 1.2.131 for enhanced performance.
Basic details about the Quadro P500, including manufacturer, ranking, and release date.
Title | Quadro P500 |
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Manufacturer | NVIDIA |
Ranking | 720 |
Popularity Rank | not in top-100 |
Architecture | Pascal (2016−2021) |
GPU code name | GP108 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 5 January 2018 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro P500.
Core Clock Speed | 1455 MHz |
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Boost Clock Speed | 1518 MHz |
Floating Point Processing Power | 0.7772 TFLOPS |
No of Transistors | 1,800 million |
CUDA Cores | 256 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 24.29 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (12_1) |
Shader Model | 6.4 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.2.131 |
CUDA | 6.1 |
DLSS | N/A |
TMUs | 16 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 1253 MHz |
Memory Bandwidth | 40.1 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 18 W |
---|---|
Power Efficiency | 16.37 |
Manufacturing Process | 14 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.