NVIDIA GeForce MX450 25W
About GPU
The NVIDIA GeForce MX450 25W GPU is a solid entry-level dedicated graphics card designed for mobile devices. With a base clock of 720MHz and a boost clock of 930MHz, it offers respectable performance for tasks such as light gaming, video editing, and graphic design. The 2GB GDDR6 memory, clocked at 1250MHz, provides sufficient memory bandwidth for handling most multimedia applications, albeit at lower settings.
The 896 shading units and 512KB L2 cache allow for efficient processing of graphics-intensive tasks, while the low TDP of 25W ensures that it won't drain a laptop's battery excessively. With a theoretical performance of 1.667 TFLOPS, the MX450 is suited for casual gaming and content creation on the go.
In real-world performance, the MX450 GPU delivers smooth playback of HD videos, allows for light gaming at 1080p resolution and medium settings, and provides ample acceleration for photo and video editing software. While it may struggle with more demanding games and high-resolution content creation, it's a step up from integrated graphics and perfect for everyday use.
Overall, the NVIDIA GeForce MX450 25W GPU is a well-balanced solution for thin and light laptops, offering a good mix of power efficiency and performance for the price. It's an excellent choice for users who prioritize portability and battery life without sacrificing the ability to handle multimedia tasks.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
August 2020
Model Name
GeForce MX450 25W
Generation
GeForce MX
Base Clock
720MHz
Boost Clock
930MHz
Bus Interface
PCIe 4.0 x4
Memory Specifications
Memory Size
2GB
Memory Type
GDDR6
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
64bit
Memory Clock
1250MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
80.00 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
29.76 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
52.08 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
3.333 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
52.08 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1.7
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
14
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
896
L1 Cache
64 KB (per SM)
L2 Cache
512KB
TDP
25W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
1.7
TFLOPS
Blender
Score
179
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender