Explore the complete details of Radeon R9 M360, including specs, performance benchmarks
The Radeon R9 M360 GPU by AMD. features a GCN 1.0 (2012−2020) architecture. with 512 CUDA cores. and a boost clock of 925 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 72 GB/s GB/s.
Basic details about the Radeon R9 M360, including manufacturer, ranking, and release date.
| Title | Radeon R9 M360 |
|---|---|
| Manufacturer | AMD |
| Ranking | 683 |
| Popularity Rank | not in top-100 |
| Architecture | GCN 1.0 (2012−2020) |
| GPU code name | Tropo |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 5 May 2015 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon R9 M360.
| Core Clock Speed | 900 MHz |
|---|---|
| Boost Clock Speed | 925 MHz |
| Floating Point Processing Power | 0.9472 TFLOPS |
| No of Transistors | 1,500 million |
| CUDA Cores | 512 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 29.60 |
| ROPs | 16 |
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 | 32 |
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 | 1125 MHz |
| Memory Bandwidth | 72 GB/s 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.
