Explore the complete details of Radeon RX 560X Mobile, including specs, performance benchmarks
The Radeon RX 560X Mobile GPU by AMD. features a GCN 4.0 (2016−2020) architecture. with 1024 CUDA cores. and a boost clock of 1202 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 92.8 GB/s GB/s. With a power consumption (TDP) of 65W.
Basic details about the Radeon RX 560X Mobile, including manufacturer, ranking, and release date.
Title | Radeon RX 560X Mobile |
---|---|
Manufacturer | AMD |
Ranking | 464 |
Popularity Rank | not in top-100 |
Architecture | GCN 4.0 (2016−2020) |
GPU code name | Polaris 21 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 11 April 2018 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon RX 560X Mobile.
Core Clock Speed | 1275 MHz |
---|---|
Boost Clock Speed | 1202 MHz |
Floating Point Processing Power | 2.611 TFLOPS |
No of Transistors | 3,000 million |
CUDA Cores | 1024 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 81.60 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | MXM-B (3.0) |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 64 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1450 MHz |
Memory Bandwidth | 92.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 65 W |
---|---|
Power Efficiency | 11.39 |
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.