NVIDIA GeForce MX350
About GPU
The NVIDIA GeForce MX350 is a mobile GPU that offers decent performance for casual gamers and productivity tasks. With a base clock speed of 747MHz and a boost clock of 937MHz, the MX350 is capable of handling light gaming and multimedia tasks with ease. The 2GB of GDDR5 memory with a memory clock of 1752MHz and 640 shading units provide smooth and responsive performance for everyday use.
The MX350's low TDP of 20W makes it an efficient choice for laptops, offering a good balance between performance and power consumption. The GPU's theoretical performance of 1.199 TFLOPS and 3DMark Time Spy score of 1237 indicate its ability to handle modern applications and light gaming at reasonable settings.
While the MX350 may not be suitable for running the latest AAA games at high settings, it is well-suited for running older titles and casual games with respectable framerates. Additionally, the MX350 can handle photo and video editing tasks without breaking a sweat.
Overall, the NVIDIA GeForce MX350 is a solid choice for laptop users who require a balance of performance and power efficiency. It offers enough horsepower to handle everyday tasks and light gaming while maintaining a low power draw for extended battery life. If you're in the market for a laptop with capable graphics performance for casual use, the MX350 is definitely worth considering.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
February 2020
Model Name
GeForce MX350
Generation
GeForce MX
Base Clock
747MHz
Boost Clock
937MHz
Bus Interface
PCIe 3.0 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
1752MHz
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.
56.06 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.
14.99 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.
29.98 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.
18.74 GFLOPS
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.
37.48 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.
1.175
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.
5
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.
640
L1 Cache
48 KB (per SM)
L2 Cache
512KB
TDP
20W
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
1.175
TFLOPS
3DMark Time Spy
Score
1262
OctaneBench
Score
29
Vulkan
Score
12472
OpenCL
Score
12811
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
OctaneBench
Vulkan
OpenCL