Explore the complete details of Quadro T1000 Mobile, including specs, performance benchmarks
The Quadro T1000 Mobile GPU by NVIDIA. features a Turing (2018−2022) architecture. with 768 CUDA cores. and a boost clock of 1455 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 128.0 GB/s GB/s. With a power consumption (TDP) of 50W. it supports DirectX 12 (12_1), Vulkan 1.2.131 for enhanced performance.
Basic details about the Quadro T1000 Mobile, including manufacturer, ranking, and release date.
Title | Quadro T1000 Mobile |
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Manufacturer | NVIDIA |
Ranking | 340 |
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 | 27 May 2019 |
Details on clock speeds, cores, and floating-point processing power of Quadro T1000 Mobile.
Core Clock Speed | 1395 MHz |
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Boost Clock Speed | 1455 MHz |
Floating Point Processing Power | 2.235 TFLOPS |
No of Transistors | 4,700 million |
CUDA Cores | 768 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 69.84 |
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 | 6.5 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.2.131 |
CUDA | 7.5 |
DLSS | N/A |
TMUs | 48 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
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Maximum RAM | 4 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 2000 MHz |
Memory Bandwidth | 128.0 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 50 W |
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Power Efficiency | 23.07 |
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.