Explore the complete details of Radeon R9 M470X, including specs, performance benchmarks
The Radeon R9 M470X GPU by AMD. features a GCN 2.0 (2013−2017) architecture. with 896 CUDA cores. and a boost clock of 1100 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 96 GB/s GB/s. it supports DirectX 12 (12_0), Vulkan 1.2.131 for enhanced performance.
Basic details about the Radeon R9 M470X, including manufacturer, ranking, and release date.
Title | Radeon R9 M470X |
---|---|
Manufacturer | AMD |
Ranking | 541 |
Popularity Rank | not in top-100 |
Architecture | GCN 2.0 (2013−2017) |
GPU code name | Emerald |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 15 May 2016 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon R9 M470X.
Core Clock Speed | 1000 MHz |
---|---|
Boost Clock Speed | 1100 MHz |
Floating Point Processing Power | 1.971 TFLOPS |
No of Transistors | 2,080 million |
CUDA Cores | 896 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 61.60 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (12_0) |
Shader Model | 6.3 |
OpenGL | 4.6 |
OpenCL | 2.0 |
Vulkan | 1.2.131 |
CUDA | N/A |
DLSS | N/A |
TMUs | 56 |
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 | 1500 MHz |
Memory Bandwidth | 96 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.