Explore the complete details of FirePro V4900, including specs, performance benchmarks
The FirePro V4900 GPU by AMD. features a TeraScale 2 (2009−2015) architecture. with 480 CUDA cores. It offers GDDR5 memory with 1 GB GB capacity and a 128 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 V4900, including manufacturer, ranking, and release date.
Title | FirePro V4900 |
---|---|
Manufacturer | AMD |
Ranking | 864 |
Popularity Rank | not in top-100 |
Architecture | TeraScale 2 (2009−2015) |
GPU code name | Turks |
Market Segmente | Workstation |
Length - Width | 163 mm - 1-slot |
Release Date | 1 November 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of FirePro V4900.
Core Clock Speed | 800 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 0.768 TFLOPS |
No of Transistors | 716 million |
CUDA Cores | 480 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 19.20 |
ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI, 2x DisplayPort |
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 | 24 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 1 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1000 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 | 2.41 |
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.