Explore the complete details of FirePro V5900, including specs, performance benchmarks
The FirePro V5900 GPU by AMD. features a TeraScale 3 (2010−2013) architecture. with 512 CUDA cores. It offers GDDR5 memory with 2 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 64 GB/s GB/s. With a power consumption (TDP) of 75W. it supports DirectX 11.2 (11_0), Vulkan N/A for enhanced performance.
Basic details about the FirePro V5900, including manufacturer, ranking, and release date.
Title | FirePro V5900 |
---|---|
Manufacturer | AMD |
Ranking | 788 |
Popularity Rank | not in top-100 |
Architecture | TeraScale 3 (2010−2013) |
GPU code name | Cayman |
Market Segmente | Workstation |
Length - Width | 230 mm - 1-slot |
Release Date | 24 May 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of FirePro V5900.
Core Clock Speed | 600 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.6144 TFLOPS |
No of Transistors | 2,640 million |
CUDA Cores | 512 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 19.20 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI |
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 | 32 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 500 MHz |
Memory Bandwidth | 64 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 75 W |
---|---|
Power Efficiency | 2.94 |
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.