Explore the complete details of GeForce G105M, including specs, performance benchmarks
The GeForce G105M GPU by NVIDIA. features a Tesla 2.0 (2007−2013) architecture. with 8 CUDA cores. It offers GDDR3 memory with Up to 512 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 8 (DDR2)/11 (GDDR3) GB/s. With a power consumption (TDP) of 14W.
Basic details about the GeForce G105M, including manufacturer, ranking, and release date.
Title | GeForce G105M |
---|---|
Manufacturer | NVIDIA |
Ranking | 1346 |
Popularity Rank | not in top-100 |
Architecture | Tesla 2.0 (2007−2013) |
GPU code name | GT218 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 16 July 2009 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce G105M.
Core Clock Speed | 500 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.03424 TFLOPS |
No of Transistors | 260 million |
CUDA Cores | 8 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 4.000 |
ROPs | 4 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
---|---|
Display Connectors | VGADual Link DVISingle Link DVIDisplayPortHDMI |
HDMI | 1 |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
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 | Up to 512 MB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 500 (DDR2)/700 (GDDR3) MHz |
Memory Bandwidth | 8 (DDR2)/11 (GDDR3) GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 14 W |
---|---|
Power Efficiency | 1.69 |
Manufacturing Process | 40 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.