Explore the complete details of Quadro P600, including specs, performance benchmarks
The Quadro P600 GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 384 CUDA cores. and a boost clock of 1620 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 80.13 GB/s GB/s. With a power consumption (TDP) of 40W. it supports DirectX 12 (12_1), Vulkan 1.3 for enhanced performance.
Basic details about the Quadro P600, including manufacturer, ranking, and release date.
Title | Quadro P600 |
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Manufacturer | NVIDIA |
Ranking | 538 |
Popularity Rank | not in top-100 |
Architecture | Pascal (2016−2021) |
GPU code name | GP107 |
Market Segmente | Workstation |
Length - Width | 145 mm - 1-slot |
Release Date | 7 February 2017 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro P600.
Core Clock Speed | 1430 MHz |
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Boost Clock Speed | 1620 MHz |
Floating Point Processing Power | 1.244 TFLOPS |
No of Transistors | 3,300 million |
CUDA Cores | 384 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 38.88 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | Portable Device Dependent |
HDMI | N/A |
DirectX | 12 (12_1) |
Shader Model | 6.7 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.3 |
CUDA | 6.1 |
DLSS | N/A |
TMUs | 24 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1252 MHz |
Memory Bandwidth | 80.13 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 40 W |
---|---|
Power Efficiency | 14.75 |
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.