Explore the complete details of Radeon RX Vega M GH, including specs, performance benchmarks
The Radeon RX Vega M GH GPU by AMD. features a GCN 4.0 (2016−2020) architecture. with 1536 CUDA cores. and a boost clock of 1190 MHz MHz. It offers HBM2 memory with 4 GB GB capacity and a 1024 Bit-bit interface. delivering a bandwidth of 204.8 GB/s GB/s. With a power consumption (TDP) of 100W. it supports DirectX 12 (12_0), Vulkan 1.2.131 for enhanced performance.
Basic details about the Radeon RX Vega M GH, including manufacturer, ranking, and release date.
Title | Radeon RX Vega M GH |
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Manufacturer | AMD |
Ranking | 338 |
Popularity Rank | not in top-100 |
Architecture | GCN 4.0 (2016−2020) |
GPU code name | Polaris 22 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 1 February 2018 |
Details on clock speeds, cores, and floating-point processing power of Radeon RX Vega M GH.
Core Clock Speed | 1063 MHz |
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Boost Clock Speed | 1190 MHz |
Floating Point Processing Power | 3.656 TFLOPS |
No of Transistors | 5,000 million |
CUDA Cores | 1536 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 114.2 |
ROPs | 64 |
Available display connectors and API compatibility for enhanced performance.
Interface | IGP |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (12_0) |
Shader Model | 6.4 |
OpenGL | 4.6 |
OpenCL | 2.0 |
Vulkan | 1.2.131 |
CUDA | N/A |
DLSS | N/A |
TMUs | 96 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | HBM2 |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 1024 Bit |
Memory Clock Speed | 800 MHz |
Memory Bandwidth | 204.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 100 W |
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Power Efficiency | 11.61 |
Manufacturing Process | 14 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.