NVIDIA GeForce MX450 30.5W 8Gbps
About GPU
The NVIDIA GeForce MX450 30.5W 8Gbps GPU is a solid offering for those in need of a reliable and efficient mobile graphics solution. With a base clock of 1035MHz and a boost clock of 1275MHz, this GPU offers decent performance for a variety of tasks, from gaming to content creation.
One of the standout features of this GPU is its 2GB of GDDR5 memory, which operates at a frequency of 2000MHz. This ensures that the GPU can handle demanding tasks with ease, providing smooth and responsive performance. The 896 shading units also contribute to the GPU's ability to handle complex graphics workloads, while the 512KB L2 cache helps to improve overall efficiency.
With a TDP of 31W, the GeForce MX450 strikes a good balance between performance and power consumption, making it a suitable choice for thin and light laptops. The theoretical performance of 2.285 TFLOPS further showcases the capabilities of this GPU, offering plenty of horsepower for a range of applications.
Overall, the NVIDIA GeForce MX450 30.5W 8Gbps GPU is a compelling option for those in need of a capable mobile graphics solution. Whether you're a casual gamer, a content creator, or someone who simply needs a reliable GPU for everyday tasks, the MX450 offers the performance and efficiency to meet your needs.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
August 2020
Model Name
GeForce MX450 30.5W 8Gbps
Generation
GeForce MX
Base Clock
1035MHz
Boost Clock
1275MHz
Bus Interface
PCIe 4.0 x4
Memory Specifications
Memory Size
2GB
Memory Type
GDDR5
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
2000MHz
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.
64.00 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.
40.80 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.
71.40 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.
4.570 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.
71.40 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.
2.239
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
31W
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
2.239
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS