NVIDIA GeForce MX150 GP107
The NVIDIA GeForce MX150 GP107 GPU is a dedicated mobile graphics card that offers impressive performance for a variety of tasks. With a base clock speed of 1469MHz and a boost clock speed of 1532MHz, this GPU can handle both everyday computing and light gaming with ease.
Its 2GB of GDDR5 memory with a clock speed of 1502MHz provides fast and efficient data processing, allowing for smooth and responsive operation. The 384 shading units and 512KB of L2 cache help to further enhance its overall performance, making it a reliable choice for a range of multimedia tasks.
With a TDP of 25W, the GeForce MX150 is a power-efficient option for laptops, balancing performance with battery life. Its theoretical performance of 1.177 TFLOPS ensures that it can handle modern applications, including photo and video editing, as well as some entry-level gaming.
Overall, the NVIDIA GeForce MX150 GP107 GPU is a solid choice for those in need of a capable and efficient mobile graphics solution. Its combination of clock speeds, memory size, and shading units provide a well-rounded package for users who require a reliable GPU for everyday tasks, multimedia content creation, and light gaming. Whether it's for work or leisure, this GPU delivers the performance and efficiency that modern users demand.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
February 2019
Model Name
GeForce MX150 GP107
Generation
GeForce MX
Base Clock
1469MHz
Boost Clock
1532MHz
Bus Interface
PCIe 3.0 x4
Transistors
3,300 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
24
Foundry
Samsung
Process Size
14 nm
Architecture
Pascal
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
1502MHz
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.
48.06 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.
24.51 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.
36.77 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.
18.38 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.
36.77 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.
1.153
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
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
OpenGL
4.6
DirectX
12 (12_1)
CUDA
6.1
Power Connectors
None
Shader Model
6.4
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Benchmarks
FP32 (float)
Score
1.153
TFLOPS
Blender
Score
84
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender