Explore the complete details of GeForce MX450, including specs, performance benchmarks
The GeForce MX450 GPU by NVIDIA. features a Turing (2018−2022) architecture. with 896 CUDA cores. and a boost clock of 1575 MHz MHz. It offers GDDR5, GDDR6 memory with 2 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 64.03 GB/s GB/s. With a power consumption (TDP) of 25W.
Basic details about the GeForce MX450, including manufacturer, ranking, and release date.
Title | GeForce MX450 |
---|---|
Manufacturer | NVIDIA |
Ranking | 498 |
Popularity Rank | not in top-100 |
Architecture | Turing (2018−2022) |
GPU code name | N17S-G5 / GP107-670-A1 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 1 August 2020 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce MX450.
Core Clock Speed | 1395 MHz |
---|---|
Boost Clock Speed | 1575 MHz |
Floating Point Processing Power | 3.226 TFLOPS |
No of Transistors | 4,700 million |
CUDA Cores | 896 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 100.8 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 4.0 x4 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | N/A |
Shader Model | N/A |
OpenGL | N/A |
OpenCL | N/A |
Vulkan | N/A |
CUDA | N/A |
DLSS | N/A |
TMUs | 64 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5, GDDR6 |
---|---|
Maximum RAM | 2 GB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 10000 MHz |
Memory Bandwidth | 64.03 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 25 W |
---|---|
Power Efficiency | 26.63 |
Manufacturing Process | 12 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.