NVIDIA GeForce MX450 30.5W 10Gbps
About GPU
The NVIDIA GeForce MX450 30.5W 10Gbps GPU is a budget-friendly mobile GPU that is designed to provide solid performance for light gaming and everyday tasks on laptops. With a base clock of 1395MHz and a boost clock of 1575MHz, this GPU offers good clock speeds for its class. The 2GB GDDR6 memory with a clock speed of 1250MHz provides decent memory bandwidth for gaming and multimedia applications.
With 896 shading units and a TDP of 31W, the MX450 is able to deliver a theoretical performance of 2.822 TFLOPS, making it suitable for casual gaming and multimedia tasks. The 3DMark Time Spy score of 2124 further solidifies its capability to handle modern games at lower settings.
While the MX450 may not be the most powerful GPU on the market, its power efficiency and affordable price point make it a good choice for entry-level gaming laptops and thin-and-light notebooks. It is capable of handling popular esports titles and older games at decent frame rates, making it a good option for casual gamers on a budget. Additionally, its low power consumption of 31W makes it a suitable choice for laptops with limited thermal headroom and battery life concerns.
Overall, the NVIDIA GeForce MX450 30.5W 10Gbps GPU offers a good balance of performance, power efficiency, and affordability, making it a solid choice for budget-conscious gamers and productivity users.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
August 2020
Model Name
GeForce MX450 30.5W 10Gbps
Generation
GeForce MX
Base Clock
1395MHz
Boost Clock
1575MHz
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.
50.40 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.
88.20 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.
5.645 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.
88.20 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.
2.766
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
2.766
TFLOPS
3DMark Time Spy
Score
2082
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy