NVIDIA GeForce MX150

NVIDIA GeForce MX150

About GPU

The NVIDIA GeForce MX150 GPU is a mobile platform graphics card that offers impressive performance in a compact and energy-efficient package. With a base clock speed of 1469MHz and a boost clock speed of 1532MHz, this GPU is capable of handling demanding graphics tasks with ease. The 2GB of GDDR5 memory and a memory clock speed of 1502MHz ensure smooth and responsive operation, even when multitasking or running graphics-intensive applications. The MX150 features 384 shading units and 512KB of L2 cache, providing ample processing power for a wide range of tasks. With a thermal design power (TDP) of just 25W, this GPU strikes a great balance between performance and energy efficiency, making it a fantastic choice for laptops and other portable devices. In terms of actual performance, the MX150 has a theoretical peak performance of 1.177 TFLOPS, making it more than capable of handling modern games and multimedia tasks. In 3DMark Time Spy, a popular benchmarking tool for gaming systems, the MX150 scored an impressive 1004, further highlighting its capabilities. Overall, the NVIDIA GeForce MX150 GPU is a fantastic option for anyone in need of a reliable and efficient mobile graphics solution. Whether you're a gamer, content creator, or simply looking for a smooth and responsive user experience, the MX150 has the performance and features to meet your needs. With its impressive performance and energy efficiency, it's no wonder the MX150 is a popular choice for many laptop manufacturers.

Basic

Label Name
NVIDIA
Platform
Mobile
Launch Date
May 2017
Model Name
GeForce MX150
Generation
GeForce MX
Base Clock
1469MHz
Boost Clock
1532MHz
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
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

Benchmarks

FP32 (float)
Score
1.153 TFLOPS
3DMark Time Spy
Score
984
Vulkan
Score
8986
OpenCL
Score
9985

Compared to Other GPU

FP32 (float) / TFLOPS
1.16 +0.6%
1.152 -0.1%
1.143 -0.9%
3DMark Time Spy
1056 +7.3%
821 -16.6%
Vulkan
9082 +1.1%
9056 +0.8%
8917 -0.8%
8587 -4.4%
OpenCL
10109 +1.2%
10025 +0.4%
9946 -0.4%