NVIDIA GeForce GTX 1650 Ti Mobile
The NVIDIA GeForce GTX 1650 Ti Mobile GPU is a solid graphics card designed for gaming and multimedia tasks on laptops. With a base clock of 1350MHz and a boost clock of 1485MHz, it delivers smooth and consistent performance for a variety of tasks.
Equipped with 4GB of GDDR6 memory and a memory clock of 1500MHz, the GTX 1650 Ti Mobile offers fast and responsive memory handling. The card's 1024 shading units and 1024KB L2 cache ensure that it can handle complex graphics rendering and compute tasks with ease.
With a TDP of 50W, the GTX 1650 Ti Mobile strikes a good balance between performance and power efficiency, making it suitable for a wide range of thin and light gaming laptops.
In terms of performance, the GTX 1650 Ti Mobile is capable of delivering a theoretical performance of 3.041 TFLOPS, making it suitable for 1080p gaming and multimedia tasks. In the 3DMark Time Spy benchmark, it achieves a score of 3679, showcasing its capabilities in handling modern gaming workloads.
Overall, the NVIDIA GeForce GTX 1650 Ti Mobile GPU offers a good balance of performance, power efficiency, and affordability for users looking for a capable GPU for gaming and multimedia tasks on their laptops. Whether you're a casual gamer or a content creator, the GTX 1650 Ti Mobile delivers solid performance for a variety of tasks.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
April 2020
Model Name
GeForce GTX 1650 Ti Mobile
Generation
GeForce 16 Mobile
Base Clock
1350MHz
Boost Clock
1485MHz
Bus Interface
PCIe 3.0 x16
Transistors
6,600 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.
64
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
4GB
Memory Type
GDDR6
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
1500MHz
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.
192.0 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.
47.52 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.
95.04 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.
6.083 TFLOPS
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.
95.04 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.
3.102
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.
16
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.
1024
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
TDP
50W
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
7.5
Power Connectors
None
Shader Model
6.6
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.
32
Benchmarks
FP32 (float)
Score
3.102
TFLOPS
3DMark Time Spy
Score
3753
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy