Explore the complete details of Quadro T1200 Mobile, including specs, performance benchmarks
The Quadro T1200 Mobile GPU by NVIDIA. features a Turing (2018−2022) architecture. with 1024 CUDA cores. and a boost clock of 1425 MHz MHz. It offers GDDR6 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 160.0 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 T1200 Mobile, including manufacturer, ranking, and release date.
Title | Quadro T1200 Mobile |
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Manufacturer | NVIDIA |
Ranking | 307 |
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 | 12 April 2021 |
Details on clock speeds, cores, and floating-point processing power of Quadro T1200 Mobile.
Core Clock Speed | 855 MHz |
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Boost Clock Speed | 1425 MHz |
Floating Point Processing Power | 2.918 TFLOPS |
No of Transistors | 4,700 million |
CUDA Cores | 1024 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 91.20 |
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 | 64 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
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Maximum RAM | 4 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1250 MHz |
Memory Bandwidth | 160.0 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 18 W |
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Power Efficiency | 73.08 |
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.