Explore the complete details of Quadro T500 Mobile, including specs, performance benchmarks
The Quadro T500 Mobile GPU by NVIDIA. features a Turing (2018−2022) architecture. with 896 CUDA cores. and a boost clock of 1695 MHz MHz. It offers GDDR6 memory with 2 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 80 GB/s GB/s. With a power consumption (TDP) of 18W. it supports DirectX 12 (12_1), Vulkan 1.2 for enhanced performance.
Basic details about the Quadro T500 Mobile, including manufacturer, ranking, and release date.
Title | Quadro T500 Mobile |
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Manufacturer | NVIDIA |
Ranking | 517 |
Popularity Rank | not in top-100 |
Architecture | Turing (2018−2022) |
GPU code name | TU117 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 2 December 2020 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro T500 Mobile.
Core Clock Speed | 1365 MHz |
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Boost Clock Speed | 1695 MHz |
Floating Point Processing Power | 3.037 TFLOPS |
No of Transistors | 4,700 million |
CUDA Cores | 896 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 94.92 |
ROPs | 32 |
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 | 6.6 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.2 |
CUDA | 7.5 |
DLSS | N/A |
TMUs | 56 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 1250 MHz |
Memory Bandwidth | 80 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 18 W |
---|---|
Power Efficiency | 34.63 |
Manufacturing Process | 12 nm |
Supplementary Power Connectors | N/A |
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.