Explore the complete details of Radeon R6 M255DX, including specs, performance benchmarks
The Radeon R6 M255DX GPU by AMD. features a GCN 1.0 (2012−2020) architecture. with 320 CUDA cores. and a boost clock of 855 MHz MHz. It offers System Shared memory with System Shared GB capacity and a System Shared-bit interface.
Basic details about the Radeon R6 M255DX, including manufacturer, ranking, and release date.
| Title | Radeon R6 M255DX |
|---|---|
| Manufacturer | AMD |
| Ranking | 1010 |
| Popularity Rank | not in top-100 |
| Architecture | GCN 1.0 (2012−2020) |
| GPU code name | Jet |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 7 January 2014 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon R6 M255DX.
| Core Clock Speed | 780 MHz |
|---|---|
| Boost Clock Speed | 855 MHz |
| Floating Point Processing Power | 0.5472 TFLOPS |
| No of Transistors | 690 million |
| CUDA Cores | 320 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 17.10 |
| ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
| Interface | IGP |
|---|---|
| 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 | 20 |
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) | N/A W |
|---|---|
| Power Efficiency | N/A |
| Manufacturing Process | 28 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.
