Explore the complete details of Mobility FireGL V5700, including specs, performance benchmarks
The Mobility FireGL V5700 GPU by ATI. features a TeraScale (2005−2013) architecture. with 120 CUDA cores. It offers GDDR3 memory with 512 MB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 22.4 GB/s GB/s. it supports DirectX 10.1 (10_1), Vulkan N/A for enhanced performance.
Basic details about the Mobility FireGL V5700, including manufacturer, ranking, and release date.
Title | Mobility FireGL V5700 |
---|---|
Manufacturer | ATI |
Ranking | 1324 |
Popularity Rank | not in top-100 |
Architecture | TeraScale (2005−2013) |
GPU code name | M86 |
Market Segmente | Mobile workstation |
Length - Width | N/A - N/A |
Release Date | 7 January 2008 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Mobility FireGL V5700.
Core Clock Speed | 600 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.144 TFLOPS |
No of Transistors | 378 million |
CUDA Cores | 120 |
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 |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 10.1 (10_1) |
Shader Model | 4.1 |
OpenGL | 3.3 |
OpenCL | N/A |
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 | 128 Bit |
Memory Clock Speed | 700 MHz |
Memory Bandwidth | 22.4 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 | 55 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.