Explore the complete details of FirePro 2270, including specs, performance benchmarks
The FirePro 2270 GPU by AMD. features a TeraScale 2 (2009−2015) architecture. with 80 CUDA cores. It offers GDDR3 memory with 512 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 9.6 GB/s GB/s. With a power consumption (TDP) of 15W. it supports DirectX 11.2 (11_0), Vulkan N/A for enhanced performance.
Basic details about the FirePro 2270, including manufacturer, ranking, and release date.
Title | FirePro 2270 |
---|---|
Manufacturer | AMD |
Ranking | 1331 |
Popularity Rank | not in top-100 |
Architecture | TeraScale 2 (2009−2015) |
GPU code name | Cedar |
Market Segmente | Workstation |
Length - Width | 170 mm - 1-slot |
Release Date | 31 January 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of FirePro 2270.
Core Clock Speed | 600 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.096 TFLOPS |
No of Transistors | 292 million |
CUDA Cores | 80 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 4.800 |
ROPs | 4 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
---|---|
Display Connectors | 1x DMS-59 |
HDMI | N/A |
DirectX | 11.2 (11_0) |
Shader Model | 5.0 |
OpenGL | 4.4 |
OpenCL | 1.2 |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 8 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 512 MB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 600 MHz |
Memory Bandwidth | 9.6 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 15 W |
---|---|
Power Efficiency | 1.73 |
Manufacturing Process | 40 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.