Explore the complete details of RTX 5000 Ada Generation Mobile, including specs, performance benchmarks
The RTX 5000 Ada Generation Mobile GPU by NVIDIA. features a Ada Lovelace (2022−2024) architecture. with 4096 CUDA cores. and a boost clock of 1680 MHz MHz. It offers GDDR6 memory with 16 GB GB capacity and a 256 Bit-bit interface. With a power consumption (TDP) of 225W. it supports DirectX 12 Ultimate for enhanced performance.
Basic details about the RTX 5000 Ada Generation Mobile, including manufacturer, ranking, and release date.
Title | RTX 5000 Ada Generation Mobile |
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Manufacturer | NVIDIA |
Ranking | 38 |
Popularity Rank | not in top-100 |
Architecture | Ada Lovelace (2022−2024) |
GPU code name | DG2-512 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 12 October 2022 |
Details on clock speeds, cores, and floating-point processing power of RTX 5000 Ada Generation Mobile.
Core Clock Speed | 930 MHz |
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Boost Clock Speed | 1680 MHz |
Floating Point Processing Power | N/A |
No of Transistors | N/A |
CUDA Cores | 4096 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | N/A |
ROPs | N/A |
Available display connectors and API compatibility for enhanced performance.
Interface | N/A |
---|---|
Display Connectors | N/A |
HDMI | N/A |
DirectX | 12 Ultimate |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | N/A |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 16 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 20000 MHz |
Memory Bandwidth | N/A GB/s |
Resizable BAR | 1 |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 225 W |
---|---|
Power Efficiency | 18.88 |
Manufacturing Process | 6 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.