Explore the complete details of Radeon R9 M395X, including specs, performance benchmarks
The Radeon R9 M395X GPU by AMD. features a GCN 3.0 (2014−2019) architecture. with 2048 CUDA cores. It offers GDDR5 memory with 4 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 160.0 GB/s GB/s. With a power consumption (TDP) of 250W.
Basic details about the Radeon R9 M395X, including manufacturer, ranking, and release date.
| Title | Radeon R9 M395X |
|---|---|
| Manufacturer | AMD |
| Ranking | 398 |
| Popularity Rank | not in top-100 |
| Architecture | GCN 3.0 (2014−2019) |
| GPU code name | Amethyst |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 5 May 2015 |
Details on clock speeds, cores, and floating-point processing power of Radeon R9 M395X.
| Core Clock Speed | 723 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 2.961 TFLOPS |
| No of Transistors | 5,000 million |
| CUDA Cores | 2048 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 92.54 |
| ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
| Interface | PCIe 3.0 x16 |
|---|---|
| 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 | 128 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 4 GB |
| Memory Bus Width | 256 Bit |
| Memory Clock Speed | 1250 MHz |
| Memory Bandwidth | 160.0 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 250 W |
|---|---|
| Power Efficiency | 12.22 |
| Manufacturing Process | 28 nm |
| Supplementary Power Connectors | None |
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.
