NVIDIA GeForce MX330
About GPU
The NVIDIA GeForce MX330 is a mobile GPU that brings decent performance and efficiency to laptops for everyday tasks and light gaming. With a base clock of 1531MHz and a boost clock of 1594MHz, it offers smooth and responsive graphics for multimedia consumption, productivity, and some gaming.
With 2GB of GDDR5 memory and a memory clock of 1752MHz, the MX330 is capable of handling light gaming and multimedia tasks with ease. The 384 shading units and 512KB of L2 cache contribute to its ability to efficiently render graphics and maintain smooth performance.
One of the standout features of the MX330 is its low TDP of 10W, which makes it an energy-efficient solution for laptops, contributing to longer battery life and cooler operation. This makes it a practical choice for thin and light laptops where power efficiency is crucial.
In terms of performance, the MX330 offers a theoretical performance of 1.224 TFLOPS, which is respectable for a GPU in this class. While it may not be suitable for heavy gaming or resource-intensive tasks, it certainly holds its own for casual gaming and everyday use.
Overall, the NVIDIA GeForce MX330 is a solid choice for budget and mid-range laptops, offering a good balance of performance, power efficiency, and affordability. It's a practical option for users who need a reliable GPU for everyday tasks and occasional gaming without breaking the bank.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
February 2020
Model Name
GeForce MX330
Generation
GeForce MX
Base Clock
1531MHz
Boost Clock
1594MHz
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.
25.50 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.
38.26 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.
19.13 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.
38.26 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.
1.2
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.
3
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.
384
L1 Cache
48 KB (per SM)
L2 Cache
512KB
TDP
10W
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
1.2
TFLOPS
Vulkan
Score
8587
OpenCL
Score
9356
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL