NVIDIA GeForce GTX 1050 Mobile 3 GB

NVIDIA GeForce GTX 1050 Mobile 3 GB

About GPU

The NVIDIA GeForce GTX 1050 Mobile 3GB GPU is a reliable and efficient graphics card designed for gaming and multimedia applications on laptops. With a base clock speed of 1366MHz and a boost clock speed of 1442MHz, this GPU offers excellent performance for a variety of tasks. The 3GB of GDDR5 memory and a memory clock speed of 1752MHz ensure smooth and high-quality visual rendering, allowing for seamless gameplay and video playback. With 768 shading units and a 768KB L2 cache, the GTX 1050 Mobile delivers impressive graphical processing power, making it suitable for both casual and competitive gaming. The GPU's TDP of 75W strikes a good balance between power consumption and performance, making it an ideal choice for laptops with decent battery life. With a theoretical performance of 2.215 TFLOPS, this graphics card can handle modern games and multimedia tasks with ease. Overall, the NVIDIA GeForce GTX 1050 Mobile 3GB GPU is a solid choice for gamers and content creators who require a reliable and powerful graphics card for their laptops. Its performance, power efficiency, and 3GB of memory make it a suitable option for budget-conscious users who want to experience high-quality graphics without breaking the bank. Whether you're gaming, editing videos, or simply browsing the web, this GPU has the capabilities to meet your visual computing needs.

Basic

Label Name
NVIDIA
Platform
Mobile
Launch Date
February 2019
Model Name
GeForce GTX 1050 Mobile 3 GB
Generation
GeForce 10 Mobile
Base Clock
1366MHz
Boost Clock
1442MHz
Bus Interface
PCIe 3.0 x16

Memory Specifications

Memory Size
3GB
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.
96bit
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.
84.10 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.
34.61 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.
69.22 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.
34.61 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.
69.22 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.
2.259 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.
6
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.
768
L1 Cache
48 KB (per SM)
L2 Cache
768KB
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
2.259 TFLOPS
Blender
Score
181
OctaneBench
Score
36

Compared to Other GPU

FP32 (float) / TFLOPS
2.285 +1.2%
2.272 +0.6%
2.243 -0.7%