Explore the complete details of GeForce 315M, including specs, performance benchmarks
The GeForce 315M GPU by NVIDIA. features a Tesla 2.0 (2007−2013) architecture. with 16 CUDA cores. It offers GDDR3 memory with Up to 512 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 12.8 GB/s GB/s. With a power consumption (TDP) of 14W.
Basic details about the GeForce 315M, including manufacturer, ranking, and release date.
Title | GeForce 315M |
---|---|
Manufacturer | NVIDIA |
Ranking | 1378 |
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 | 5 January 2011 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 315M.
Core Clock Speed | 606 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.03878 TFLOPS |
No of Transistors | 260 million |
CUDA Cores | 16 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 4.848 |
ROPs | 4 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
---|---|
Display Connectors | DisplayPortHDMIVGADual Link DVISingle Link DVI |
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 | Up to 800 (DDR3), Up to 800 (GDDR3) MHz |
Memory Bandwidth | 12.8 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 14 W |
---|---|
Power Efficiency | 1.47 |
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.