Explore the complete details of GeForce 8400M G, including specs, performance benchmarks
The GeForce 8400M G GPU by NVIDIA. features a Tesla (2006−2010) architecture. with 8 CUDA cores. It offers GDDR3 memory with 256 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 6.4 GB/s GB/s. With a power consumption (TDP) of 10W. it supports DirectX 11.1 (10_0), Vulkan N/A for enhanced performance.
Basic details about the GeForce 8400M G, including manufacturer, ranking, and release date.
Title | GeForce 8400M G |
---|---|
Manufacturer | NVIDIA |
Ranking | 1396 |
Popularity Rank | not in top-100 |
Architecture | Tesla (2006−2010) |
GPU code name | G86 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 9 May 2007 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 8400M G.
Core Clock Speed | 400 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.0128 TFLOPS |
No of Transistors | 210 million |
CUDA Cores | 8 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 3.200 |
ROPs | 4 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 1.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 11.1 (10_0) |
Shader Model | 4.0 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | 1.1 |
DLSS | N/A |
TMUs | 8 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 256 MB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 400 MHz |
Memory Bandwidth | 6.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 10 W |
---|---|
Power Efficiency | 1.91 |
Manufacturing Process | 80 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.