NVIDIA GeForce GTX 1050 Mobile
About GPU
The NVIDIA GeForce GTX 1050 is a solid entry-level mobile GPU that offers decent gaming performance and power efficiency for laptops and other portable devices. With a base clock of 1354MHz and a boost clock of 1493MHz, this GPU provides smooth gameplay for casual gamers and can handle most modern titles at medium to high settings.
Equipped with 2GB of GDDR5 memory and a memory clock of 1752MHz, the GTX 1050 delivers fast and responsive graphics for an immersive gaming experience. Its 640 shading units and 1024KB of L2 cache allow for efficient rendering and smooth frame rates.
One of the standout features of the GTX 1050 is its low thermal design power (TDP) of 75W, making it an energy-efficient choice for laptops and other portable devices. Despite its power efficiency, the GTX 1050 still manages to deliver a theoretical performance of 1.911 TFLOPS, making it suitable for both gaming and general multimedia tasks.
In terms of benchmark performance, the GTX 1050 scores a respectable 2090 in 3DMark Time Spy, indicating its ability to handle demanding graphical workloads.
Overall, the NVIDIA GeForce GTX 1050 mobile GPU is a reliable and capable option for budget-conscious gamers and content creators who require solid performance and power efficiency in a portable form factor. Its ability to handle modern games and multimedia tasks at a reasonable price point makes it a compelling choice for those in need of a capable mobile GPU.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2017
Model Name
GeForce GTX 1050 Mobile
Generation
GeForce 10 Mobile
Base Clock
1354MHz
Boost Clock
1493MHz
Bus Interface
PCIe 3.0 x16
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.
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.
23.89 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.
59.72 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.
29.86 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.
59.72 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.
1.873
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
1.873
TFLOPS
3DMark Time Spy
Score
2048
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy