NVIDIA GeForce GTX 1050 Max Q
About GPU
The NVIDIA GeForce GTX 1050 Max Q is a mobile GPU that offers impressive performance for gaming and multimedia tasks. With a base clock speed of 1000MHz and a boost clock of 1139MHz, this GPU provides smooth and responsive graphics for a variety of applications. The 4GB of GDDR5 memory and a memory clock speed of 1752MHz ensure that users can enjoy high-resolution and detailed visuals without any lag or stuttering.
With 640 shading units and a 1024KB L2 cache, the GTX 1050 Max Q is capable of handling complex rendering and shading tasks with ease. The TDP of 75W ensures that the GPU operates efficiently without consuming excessive power, making it suitable for use in thin and light laptops.
In terms of performance, the GTX 1050 Max Q offers a theoretical performance of 1.458 TFLOPS, allowing it to handle modern games and multimedia applications with ease. In 3DMark Time Spy benchmark tests, the GPU scored an impressive 2079, demonstrating its capability to deliver smooth and immersive gaming experiences.
Overall, the NVIDIA GeForce GTX 1050 Max Q is a solid choice for those looking for a reliable and efficient mobile GPU. With its impressive performance and power efficiency, it is well-suited for gaming, multimedia, and professional applications. Whether you're a casual gamer or a content creator, the GTX 1050 Max Q offers a great balance of performance and power efficiency for a wide range of tasks.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2018
Model Name
GeForce GTX 1050 Max Q
Generation
GeForce 10 Mobile
Base Clock
1000MHz
Boost Clock
1139MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
128bit
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.
112.1 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.
18.22 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.
45.56 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.
22.78 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.
45.56 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.
1.487
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
1024KB
TDP
75W
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
1.487
TFLOPS
3DMark Time Spy
Score
2037
Blender
Score
160
OctaneBench
Score
36
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
OctaneBench