Explore the complete details of Radeon R7 250X, including specs, performance benchmarks
The Radeon R7 250X GPU by AMD. features a GCN 1.0 (2012−2020) architecture. with 640 CUDA cores. and a boost clock of 1000 MHz MHz. It offers GDDR5 memory with 2 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 96 GB/s GB/s. With a power consumption (TDP) of 80W.
Basic details about the Radeon R7 250X, including manufacturer, ranking, and release date.
Title | Radeon R7 250X |
---|---|
Manufacturer | AMD |
Ranking | 632 |
Popularity Rank | not in top-100 |
Architecture | GCN 1.0 (2012−2020) |
GPU code name | Cape Verde |
Market Segmente | Desktop |
Length - Width | 210 mm - 2-slot |
Release Date | 13 February 2014 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Radeon R7 250X.
Core Clock Speed | N/A |
---|---|
Boost Clock Speed | 1000 MHz |
Floating Point Processing Power | 1.216 TFLOPS |
No of Transistors | 1,500 million |
CUDA Cores | 640 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 38.00 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
---|---|
Display Connectors | 1x DVI, 1x HDMI, 2x mini-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 | 40 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1625 MHz |
Memory Bandwidth | 96 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 80 W |
---|---|
Power Efficiency | 5.06 |
Manufacturing Process | 28 nm |
Supplementary Power Connectors | 1 x 6-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.