Explore the complete details of GeForce 8800 GTX, including specs, performance benchmarks
The GeForce 8800 GTX GPU by NVIDIA. features a Tesla (2006−2010) architecture. with 575 CUDA cores. It offers GDDR3 memory with 768 MB GB capacity and a 384 Bit-bit interface. delivering a bandwidth of 86.4 GB/s GB/s. With a power consumption (TDP) of 155W. it supports DirectX 11.1 (10_0), Vulkan N/A for enhanced performance.
Basic details about the GeForce 8800 GTX, including manufacturer, ranking, and release date.
Title | GeForce 8800 GTX |
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Manufacturer | NVIDIA |
Ranking | 1031 |
Popularity Rank | not in top-100 |
Architecture | Tesla (2006−2010) |
GPU code name | G80 |
Market Segmente | Desktop |
Length - Width | 270 mm - 2-slot |
Release Date | 8 November 2006 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 8800 GTX.
Core Clock Speed | 576 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 0.3456 TFLOPS |
No of Transistors | 681 million |
CUDA Cores | 575 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 36.86 |
ROPs | 24 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 1.0 x16 |
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Display Connectors | 2x DVI, 1x S-Video |
HDMI | N/A |
DirectX | 11.1 (10_0) |
Shader Model | 4.0 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | + |
DLSS | N/A |
TMUs | 32 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 768 MB |
Memory Bus Width | 384 Bit |
Memory Clock Speed | 900 MHz |
Memory Bandwidth | 86.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 155 W |
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Power Efficiency | 0.65 |
Manufacturing Process | 90 nm |
Supplementary Power Connectors | 2x 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.