NVIDIA GeForce RTX 5060 Mobile
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NVIDIA GeForce RTX 5070 Mobile

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NVIDIA GeForce RTX 5060 Mobile vs NVIDIA GeForce RTX 5070 Mobile graphics card comparison

GPU Comparison Result

NVIDIA GeForce RTX 5060 Mobile vs RTX 5070 Mobile: Why the Difference is Smaller Than It Seems

The GeForce RTX 5070 Mobile is noticeably more powerful than the RTX 5060 Mobile in terms of specifications: it has 38% more CUDA cores and nearly 40% higher claimed performance in AI operations. However, in real laptops, the gap usually turns out to be much smaller. The reason is the close power limits, different cooling systems, and manufacturer settings.

As a result, a powerful RTX 5060 in a well-cooled gaming laptop can come close to an RTX 5070 in a thinner model. Therefore, it is essential to compare not only the graphics cards but also the specific laptops in which they are installed.

Key Differences

Feature GeForce RTX 5060 Mobile GeForce RTX 5070 Mobile
CUDA Cores 3328 4608
AI Performance 572 TOPS 798 TOPS
Boost Clock 1455-2497 MHz 1425-2347 MHz
GPU Power 45-100 W 50-100 W
Video Memory 8 GB GDDR7 8 or 12 GB GDDR7

The RTX 5070 has a significantly higher number of computing blocks, but its official upper power limit is the same 100 W as the RTX 5060. The additional cores must fit within almost the same energy budget, so the advantage of the higher model does not correspond to the difference in specifications.

How Much Faster is the RTX 5070

Under comparable conditions, the gap between the graphics cards is often within 5-15%, rather than the 38-40% one might expect based on the number of cores.

In one comparison, the RTX 5060 with a 95 W limit nearly matched the 85 W RTX 5070. The more powerful version of the RTX 5070 was about 10% faster across a total of four 3DMark tests. In individual games, the higher model’s advantage was estimated at about 5-12% at comparable power.

However, the variability between different laptops is quite large. A strong RTX 5060 can outperform some weaker configurations of the RTX 5070, although in modern GPU-heavy games, the higher model usually maintains an advantage.

This is why the statement "the RTX 5070 is always faster than the RTX 5060" is technically correct only when comparing devices with similar cooling and power.

Full HD or QHD

The RTX 5060 Mobile is best suited for screens with resolutions of 1920 × 1080 and 1920 × 1200. In this mode, it allows for high settings in most games, and DLSS helps maintain a comfortable frame rate in the most demanding projects.

The RTX 5070 Mobile performs more confidently at resolutions of 2560 × 1440 and the common gaming laptop format of 2560 × 1600. The additional computing blocks are beneficial for ray tracing, rendering, video editing, and other prolonged GPU workloads.

However, upgrading to the RTX 5070 solely for QHD is not always necessary. If a laptop with the RTX 5060 has quality cooling and the GPU operates close to maximum power, the difference may not be significant enough to justify a hefty price increase.

Memory Has Become More Important Than the Index Itself

The RTX 5060 Mobile comes equipped with 8 GB of GDDR7. For Full HD, this amount is sufficient in most cases, but at max textures, ray tracing, and QHD resolution, the buffer can't be considered large.

The RTX 5070 Mobile is available in versions with 8 and 12 GB of GDDR7. The 8 GB configuration is faster than the RTX 5060 in compute performance but maintains the same memory volume limitation. The 12 GB version seems more convincing: the extra memory is useful in demanding games, video editors, 3D projects, and local AI tasks.

Thus, when choosing a laptop with the RTX 5070, it's essential to check not only TGP but also the amount of video memory. Two models with the same GPU name can significantly differ in long-term value.

What to Check Before Buying

A single graphics card name is not enough. In the specifications and independent reviews, it’s crucial to look for:

  • The actual power limit of the GPU;
  • Temperatures and frequencies under sustained load;
  • Noise level of the cooling system;
  • Presence of MUX Switch or discrete graphics mode;
  • Memory capacity in the RTX 5070;
  • Results of the specific laptop in gaming.

Particularly cautious attention should be given to thin models. A compact laptop with the RTX 5070 might be more expensive but perform slower than a larger device with the RTX 5060 due to limited power and cooling.

RTX 5060 Mobile or RTX 5070 Mobile: What to Choose

The RTX 5060 Mobile is more rational when the laptop with it is cheaper by more than 15-20%, and other specifications are comparable. For Full HD and 1920 × 1200, it offers the best price-to-performance ratio. The budget difference is often better spent on a quality display, a more powerful processor, 32 GB of RAM, or a larger SSD.

The RTX 5070 Mobile justifies the extra cost if the price difference does not exceed about 10-15%, the laptops are similar in cooling, and the higher graphics card operates at a high TGP. The version with 12 GB of memory is particularly interesting for QHD, 3D graphics, and extended use without a drop in texture quality.

These boundaries are not strict rules but reflect the actual scale of the increase: overpaying 25-30% for about a 10% advantage is usually not profitable.

Conclusion

The GeForce RTX 5070 Mobile is faster than the RTX 5060 Mobile, but its advantage is much smaller than the difference in the number of CUDA cores suggests. Under comparable power conditions, the performance gain is often around 5-15%, rather than a transition to a different performance class.

The RTX 5060 Mobile remains a more cost-effective foundation for a laptop with a Full HD or 1920 × 1200 screen. The RTX 5070 Mobile is better suited for QHD and heavy workloads, especially in the 12 GB memory version.

The main rule for choosing is simple: compare not two graphics cards on paper but two specific laptops-taking into account power, cooling, memory, and price.

Basic

NVIDIA
Label Name
NVIDIA
January 2025
Launch Date
January 2025
Desktop
Platform
Mobile
GeForce RTX 5060 Mobile
Model Name
GeForce RTX 5070 Mobile
GeForce 50 Mobile
Generation
GeForce 50 Mobile
2235 MHz
Base Clock
2235 MHz
2520 MHz
Boost Clock
2520 MHz
PCIe 5.0 x16
Bus Interface
PCIe 5.0 x16
Unknown
Transistors
Unknown
36
RT Cores
36
144
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
144
144
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.
144
TSMC
Foundry
TSMC
Blackwell 2.0
Architecture
Blackwell 2.0

Memory Specifications

8GB
Memory Size
8GB
GDDR7
Memory Type
GDDR7
128bit
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
2500 MHz
Memory Clock
2500 MHz
80.00GB/s
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.
80.00GB/s

Display and Media

1x HDMI 2.1
3x DisplayPort 1.4a
Outputs
1x HDMI 2.13x DisplayPort 1.4a

Theoretical Performance

121.0 GPixel/s
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.
121.0 GPixel/s
362.9 GTexel/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.
362.9 GTexel/s
23.22 TFLOPS
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.
23.22 TFLOPS
362.9 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.
362.9 GFLOPS
22.756 TFLOPS
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.
23.684 TFLOPS

Miscellaneous

36
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.
36
4608
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.
4608
128 KB (per SM)
L1 Cache
128 KB (per SM)
32 MB
L2 Cache
32 MB
120W
TDP
120W
1.3
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
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
9.1
CUDA
9.1
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 16-pin
48
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.
48
6.8
Shader Model
6.8
300 W
Suggested PSU
300 W

Benchmarks

FP32 (float) / TFLOPS
GeForce RTX 5060 Mobile
22.756
GeForce RTX 5070 Mobile
23.684 +4%
3DMark Steel Nomad
GeForce RTX 5060 Mobile
2631
GeForce RTX 5070 Mobile
2979 +13%