Explore the complete details of GeForce 320M, including specs, performance benchmarks
The GeForce 320M GPU by NVIDIA. features a Tesla 2.0 (2007−2013) architecture. with 48 CUDA cores. It offers System Shared memory with System Shared GB capacity and a System Shared-bit interface. With a power consumption (TDP) of 23W. it supports DirectX 11.1 (10_1), Vulkan N/A for enhanced performance.
Basic details about the GeForce 320M, including manufacturer, ranking, and release date.
Title | GeForce 320M |
---|---|
Manufacturer | NVIDIA |
Ranking | 1269 |
Popularity Rank | not in top-100 |
Architecture | Tesla 2.0 (2007−2013) |
GPU code name | C89 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 1 April 2010 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 320M.
Core Clock Speed | 450 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.0912 TFLOPS |
No of Transistors | 486 million |
CUDA Cores | 48 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 7.200 |
ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 11.1 (10_1) |
Shader Model | 4.1 |
OpenGL | 3.3 |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 16 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | System Shared |
---|---|
Maximum RAM | System Shared |
Memory Bus Width | System Shared |
Memory Clock Speed | System Shared |
Memory Bandwidth | N/A GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 23 W |
---|---|
Power Efficiency | 1.62 |
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.