Explore the complete details of Radeon R9 Nano, including specs, performance benchmarks
The Radeon R9 Nano GPU by AMD. features a GCN 3.0 (2014−2019) architecture. with 4096 CUDA cores. and a boost clock of 1000 MHz MHz. It offers High Bandwidth Memory (HBM) memory with 4 GB GB capacity and a 4096 Bit-bit interface. delivering a bandwidth of 512 GB/s GB/s. With a power consumption (TDP) of 175W.
Basic details about the Radeon R9 Nano, including manufacturer, ranking, and release date.
Title | Radeon R9 Nano |
---|---|
Manufacturer | AMD |
Ranking | 270 |
Popularity Rank | not in top-100 |
Architecture | GCN 3.0 (2014−2019) |
GPU code name | Fiji |
Market Segmente | Desktop |
Length - Width | 152 mm - 2-slot |
Release Date | 27 August 2015 |
Details on clock speeds, cores, and floating-point processing power of Radeon R9 Nano.
Core Clock Speed | N/A |
---|---|
Boost Clock Speed | 1000 MHz |
Floating Point Processing Power | 8.192 TFLOPS |
No of Transistors | 8,900 million |
CUDA Cores | 4096 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 256.0 |
ROPs | 64 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | 1x HDMI, 3x DisplayPort |
HDMI | 1 |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 256 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | High Bandwidth Memory (HBM) |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 4096 Bit |
Memory Clock Speed | 500 MHz |
Memory Bandwidth | 512 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 175 W |
---|---|
Power Efficiency | 8.55 |
Manufacturing Process | 28 nm |
Supplementary Power Connectors | 1x 8-pin |
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.