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NVIDIA GeForce GTX 1650 Ti Mobile

NVIDIA GeForce GTX 1650 Ti Mobile: Budget GPU for Gaming and Work in 2025

April 2025

Despite the emergence of new generations of graphics cards, the NVIDIA GeForce GTX 1650 Ti Mobile remains a popular choice for budget gaming and multimedia laptops. In this article, we will explore why it continues to attract users five years after its release, how it performs with modern tasks, and who should consider it in 2025.

1. Architecture and Key Features

Turing: A No-Frills Base

The GTX 1650 Ti Mobile is built on the Turing architecture but lacks hardware support for ray tracing (RT Cores) and tensor cores (Tensor Cores). This makes it the younger sibling of the RTX 20 series, focused on providing accessible performance.

- Process Technology: 12 nm (TSMC) — not the most energy-efficient by 2025 standards but has stood the test of time.

- CUDA Cores: 1024 — enough for basic computations.

- Unique Features: Support for NVIDIA Optimus for automatic switching between discrete and integrated graphics, which saves battery life.

Important: RTX features (ray tracing, DLSS) are not available. However, in some games, AMD FidelityFX Super Resolution (FSR) 2.0/3.0 works through software compatibility, boosting FPS in upscaling mode.

2. Memory: Speed vs. Volume

- Memory Type: GDDR6 (previously GDDR5 was used in the base GTX 1650).

- Volume: 4 GB — the minimum comfortable level for gaming in 2025 at low/medium settings.

- Bus Width: 128-bit.

- Bandwidth: 192 GB/s — sufficient for 1080p, but there may be stuttering in highly detailed scenes.

Tip: Avoid launching games with Ultra textures and resolution above 1080p — 4 GB of buffer fills up quickly, leading to FPS drops.

3. Gaming Performance

Full HD — Comfortable Zone

The GTX 1650 Ti Mobile is designed for 1080p/30-60 FPS in modern titles (2024–2025) at medium settings:

- Cyberpunk 2077: 35–45 FPS (Medium, FSR 3.0 Performance).

- Call of Duty: Modern Warfare V: 50–60 FPS (Medium).

- Fortnite: 70–90 FPS (Medium, FSR 3.0 Balanced).

1440p and 4K: Not recommended. Even with FSR 2.0/3.0, average FPS rarely exceeds 30 frames.

Ray Tracing: Not supported natively. In games with software-based RT (e.g., Minecraft Bedrock Edition), frame rates drop to 15–20 FPS.

4. Professional Tasks

CUDA to the Rescue

Thanks to CUDA cores, the GTX 1650 Ti Mobile can handle:

- Video Editing: Rendering in Premiere Pro or DaVinci Resolve at 1080p goes smoothly, but 4K timelines may require proxy files.

- 3D Modeling: Blender, AutoCAD — suitable for educational projects, but complex scenes (10+ million polygons) may experience lag.

- Machine Learning: Only for experimenting with small neural networks (e.g., TensorFlow).

Limitation: 4 GB of memory is the main bottleneck for professional tasks. For instance, rendering in Cycles (Blender) with 8K textures is nearly impossible.

5. Power Consumption and Heat Dissipation

Cool and Quiet

- TDP: 50–55 W — lower than most modern mobile GPUs.

- Temperatures: Up to 75–80°C under load, but the laptop's cooling system should feature at least 2 heat pipes and a fan with auto-adjusting speed.

- Recommendations:

- Choose laptop models with ventilation grilles on the rear or side panel.

- Avoid ultra-thin bodies under 20 mm thick — they tend to overheat.

Plus: Even with the GTX 1650 Ti Mobile, you can find laptops with 5–7 hours of battery life for office tasks.

6. Comparison with Competitors

Budget Battle

- AMD Radeon RX 6500M (4 GB): 10–15% faster in Vulkan games (e.g., Doom Eternal), but lags behind in DX11/DX12 due to poor driver optimization. Laptop prices are similar (from $600).

- Intel Arc A550M (8 GB): Better in Ray Tracing and AI tasks but requires powerful cooling (TDP 65 W). Less commonly found.

- NVIDIA RTX 2050 Mobile: 20% more performance, supports DLSS 2.0, but is pricier ($700–$900).

Conclusion: The GTX 1650 Ti Mobile is a choice for those seeking stability and tried-and-true drivers.

7. Practical Tips

What to Pay Attention To

- Power Supply: A standard adapter of 120–150 W is sufficient for laptops.

- Compatibility: The GPU works on Intel platforms of the 10th–13th generations and AMD Ryzen 5000/7000.

- Drivers: Use the Studio Driver for professional tasks or Game Ready Driver for gaming. Avoid beta versions to prevent errors in older architectures.

- Optimization: In NVIDIA Control Panel settings, set "Prefer Maximum Performance" for games and "Adaptive" mode for daily tasks.

Life Hack: Clean the cooling system from dust every six months — it can lower temperatures by 5–8°C.

8. Pros and Cons

Advantages:

- Low laptop prices ($600–$800 in 2025).

- Good energy efficiency.

- Support for modern APIs (DirectX 12 Ultimate, Vulkan).

Disadvantages:

- Only 4 GB of memory.

- No hardware Ray Tracing.

- Outdated 12 nm manufacturing process.

9. Final Conclusion: Who Should Consider the GTX 1650 Ti Mobile?

This graphics card is a suitable choice for:

1. Students: Sufficient for studying, video editing, and less demanding games.

2. Office Users: Can handle 4K video and graphic editors.

3. Budget Gamers: 1080p/Medium gaming is still relevant in 2025.

Alternative: If future-proofing is needed, consider laptops with RTX 3050 Mobile (6 GB) or AMD RX 6600M (8 GB). However, for basic tasks, the GTX 1650 Ti Mobile remains a reliable and affordable option.

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.

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.

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.

Benchmarks

FP32 (float)

Score

3.102 TFLOPS

3DMark Time Spy

Score

3753

Compared to Other GPU

FP32 (float) / TFLOPS

FirePro S10000 Passive 12GB

3.337 +7.6%

Radeon HD 7950 Boost

3.249 +4.7%

GeForce GTX 1650 Ti Mobile

3.102

FirePro W7170M

3.02 -2.6%

Radeon R9 M395X

2.902 -6.4%

3DMark Time Spy

Radeon RX Vega 56

7045 +87.7%

GeForce GTX 1070 Max Q

4861 +29.5%

GeForce GTX 1650 Ti Mobile

3753

GeForce MX550

2380 -36.6%

GeForce GTX 660 Ti

1607 -57.2%