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NVIDIA T600 Mobile

NVIDIA T600 Mobile: Compact Power for Professionals and More

April 2025

1. Architecture and Key Features

Turing Architecture: A Proven Foundation

The NVIDIA T600 Mobile graphics card is based on the Turing architecture, released in 2018 but optimized for mobile solutions. Despite the lack of ray tracing (RTX) and DLSS support, this GPU remains relevant due to its energy efficiency and stability. The manufacturing process is 12 nm (TSMC), providing a balance between performance and heat output.

Key Features

- CUDA Cores: 896 cores for parallel calculations.

- NVIDIA Optimus: Dynamic switching between integrated and discrete graphics for energy savings.

- Support for Professional APIs: DirectX 12, OpenGL 4.6, Vulkan 1.2, as well as specifications for workstations (Quadro Driver).

2. Memory: Speed and Capacity

GDDR6 and 128-bit Bus

The T600 Mobile is equipped with 4 GB of GDDR6 memory with a bandwidth of 192 GB/s (frequency of 12 GHz). This is sufficient for working with medium-sized 3D models or editing videos at resolutions up to 4K. However, in gaming, the memory capacity may become a bottleneck: high-quality textures in projects like Cyberpunk 2077 or Horizon Forbidden West will require more than 6 GB.

3. Gaming Performance: Modest Gaming

1080p — Comfortable Zone

In games, the T600 Mobile demonstrates modest but stable performance:

- Fortnite (medium settings): 60-70 FPS.

- Apex Legends (low settings): 50-55 FPS.

- CS2 (high settings): 90-100 FPS.

1440p and 4K: Not Recommended

When transitioning to 1440p, FPS drops by 30-40%, and 4K remains unattainable due to limited power and memory. Ray tracing is not supported.

4. Professional Tasks: Strong Suit

Editing and Rendering

Thanks to CUDA and optimized Quadro drivers, the T600 Mobile handles:

- Rendering in Blender: BMW Render scene — ~12 minutes (compared to 8 minutes for the RTX 3050 Mobile).

- 4K video editing in DaVinci Resolve: smooth operation with 3 layers.

Scientific Calculations

Support for OpenCL and CUDA allows using the GPU for machine learning on basic models or simulations in MATLAB.

5. Power Consumption and Thermal Output

TDP 40W: Ideal for Ultrabooks

The card is designed for thin laptops with passive or compact active cooling. Even under load, the temperature rarely exceeds 75°C.

Case Recommendations

- Laptops with vents on the bottom panel (e.g., Lenovo ThinkPad P14s).

- Use cooling pads for extended workloads.

6. Comparison with Competitors

AMD Radeon Pro W5500M

- Pros: 8 GB GDDR6, better rendering performance.

- Cons: TDP 65W, less optimization for professional software.

NVIDIA RTX 3050 Mobile

- Pros: supports DLSS and RTX, 4 GB GDDR6.

- Cons: 30% higher price (~$900 versus $600 for the T600 Mobile).

Conclusion: The T600 Mobile excels in energy efficiency and pricing for basic work tasks.

7. Practical Tips

Power Supply

A standard laptop adapter (65-90W) is sufficient.

Compatibility

- Laptops on Intel 12th-14th Gen and AMD Ryzen 6000-8000 platforms.

- 16 GB of RAM is recommended to minimize bottlenecks.

Drivers

Use the NVIDIA Studio Driver for stability in professional applications.

8. Pros and Cons

Pros:

- Low power consumption.

- Optimization for work applications.

- Affordable price ($550-650 for new devices).

Cons:

- Weak gaming performance at high settings.

- Only 4 GB of memory.

- No ray tracing support.

9. Final Conclusion: Who Is the T600 Mobile For?

This graphics card is an ideal choice for:

- Professionals: designers, engineers, editors who need mobility and stability.

- Students: for working with CAD software and moderate gaming.

- Owners of Thin Laptops: where a balance between performance and heat is crucial.

If you are looking for a GPU for gaming or complex 3D rendering, consider models with RTX 4050/4060 Mobile or AMD Radeon RX 7600M. However, for its price, the T600 Mobile remains a reliable tool for those who value efficiency.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

April 2021

Model Name

T600 Mobile

Generation

Quadro Turing-M

Base Clock

780MHz

Boost Clock

1410MHz

Bus Interface

PCIe 3.0 x16

Transistors

4,700 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.

45.12 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.

78.96 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.

5.053 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.

78.96 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.

2.578 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.

896

L1 Cache

64 KB (per SM)

L2 Cache

1024KB

TDP

40W

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

6.7

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

2.578 TFLOPS

3DMark Time Spy

Score

2742

Blender

Score

446

Compared to Other GPU

FP32 (float) / TFLOPS

GeForce MX550

2.757 +6.9%

FirePro V9800P

2.666 +3.4%

T600 Mobile

2.578

GeForce GTX 760 X2

2.519 -2.3%

FirePro W7000

2.481 -3.8%

3DMark Time Spy

Arc A550M

5182 +89%

Radeon RX 580 2048SP

3906 +42.5%

Radeon 780M

2755 +0.5%

T600 Mobile

2742

GeForce GT 1030 DDR4

623 -77.3%

Blender

GeForce RTX 2060 Max Q

1627 +264.8%

Radeon RX 6600M

896 +100.9%

T600 Mobile

446

T400 4 GB

214 -52%

Radeon RX Vega 10 Mobile

86 -80.7%