Explore the complete details of Radeon HD 6520G, including specs, performance benchmarks
The Radeon HD 6520G GPU by AMD. features a TeraScale 2 (2009−2015) architecture. with 320 CUDA cores. It offers System Shared memory with System Shared GB capacity and a System Shared-bit interface. With a power consumption (TDP) of 35W. it supports DirectX 11.2 (11_0), Vulkan N/A for enhanced performance.
Basic details about the Radeon HD 6520G, including manufacturer, ranking, and release date.
Title | Radeon HD 6520G |
---|---|
Manufacturer | AMD |
Ranking | 1197 |
Popularity Rank | not in top-100 |
Architecture | TeraScale 2 (2009−2015) |
GPU code name | Sumo |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 7 December 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon HD 6520G.
Core Clock Speed | 400 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.256 TFLOPS |
No of Transistors | 1,178 million |
CUDA Cores | 320 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 6.400 |
ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
Interface | IGP |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 11.2 (11_0) |
Shader Model | 5.0 |
OpenGL | 4.4 |
OpenCL | 1.2 |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 16 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | System Shared |
---|---|
Maximum RAM | System Shared |
Memory Bus Width | System Shared |
Memory Clock Speed | System Shared |
Memory Bandwidth | N/A GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 35 W |
---|---|
Power Efficiency | 1.55 |
Manufacturing Process | 32 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.