Explore the complete details of Radeon R4 (Stoney Ridge), including specs, performance benchmarks
The Radeon R4 (Stoney Ridge) GPU by AMD. features a GCN 1.2/2.0 (2015−2016) architecture. with 192 CUDA cores. and a boost clock of 600 MHz MHz. With a power consumption (TDP) of 15W. it supports DirectX 12 (FL 12_0) for enhanced performance.
Basic details about the Radeon R4 (Stoney Ridge), including manufacturer, ranking, and release date.
| Title | Radeon R4 (Stoney Ridge) |
|---|---|
| Manufacturer | AMD |
| Ranking | 1115 |
| Popularity Rank | not in top-100 |
| Architecture | GCN 1.2/2.0 (2015−2016) |
| GPU code name | Stoney Ridge |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 1 June 2016 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon R4 (Stoney Ridge).
| Core Clock Speed | N/A |
|---|---|
| Boost Clock Speed | 600 MHz |
| Floating Point Processing Power | N/A |
| No of Transistors | N/A |
| CUDA Cores | 192 |
| 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 (FL 12_0) |
| 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 | N/A |
|---|---|
| Maximum RAM | N/A |
| Memory Bus Width | 64 Bit |
| Memory Clock Speed | N/A |
| Memory Bandwidth | N/A GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 15 W |
|---|---|
| Power Efficiency | 5.38 |
| 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.
