AMD Radeon RX 7700S vs NVIDIA GeForce RTX 3050 Ti Mobile

Specifications of GPUs

GPU Comparison Result

Below are the results of a comparison of the characteristics and performance of the AMD Radeon RX 7700S and NVIDIA GeForce RTX 3050 Ti Mobile video cards. This comparison will help you determine which one best suits your needs.

Basic

Label Name
AMD
NVIDIA
Launch Date
January 2023
May 2021
Platform
Mobile
Mobile
Model Name
Radeon RX 7700S
GeForce RTX 3050 Ti Mobile
Generation
Navi Mobile
GeForce 30 Mobile
Base Clock
1500MHz
735MHz
Boost Clock
2500MHz
1035MHz
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.
2048
2560
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.
-
20
Transistors
13,300 million
12,000 million
RT Cores
32
20
Compute Units
32
-
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.
-
80
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.
128
80
L1 Cache
128 KB per Array
128 KB (per SM)
L2 Cache
2MB
2MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
Samsung
Process Size
6 nm
8 nm
Architecture
RDNA 3.0
Ampere
TDP
100W
75W

Memory Specifications

Memory Size
8GB
4GB
Memory Type
GDDR6
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
128bit
Memory Clock
2250MHz
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.
288.0 GB/s
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.
160.0 GPixel/s
33.12 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.
320.0 GTexel/s
82.80 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.
40.96 TFLOPS
5.299 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.
640.0 GFLOPS
82.80 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.
20.888 TFlops
5.09 TFlops

Miscellaneous

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
1.3
OpenCL Version
2.2
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
CUDA
-
8.6
Power Connectors
None
None
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.
64
32
Shader Model
6.7
6.7

Advantages

AMD Radeon RX 7700S
Radeon RX 7700S
  • Higher Boost Clock: 2500MHz (2500MHz vs 1035MHz)
  • Larger Memory Size: 8GB (8GB vs 4GB)
  • Higher Bandwidth: 288.0 GB/s (288.0 GB/s vs 192.0 GB/s)
  • Newer Launch Date: January 2023 (January 2023 vs May 2021)
NVIDIA GeForce RTX 3050 Ti Mobile
GeForce RTX 3050 Ti Mobile
  • More Shading Units: 2560 (2048 vs 2560)

FP32 (float)

Radeon RX 7700S
+310% 20.888 TFlops
GeForce RTX 3050 Ti Mobile
5.09 TFlops

3DMark Time Spy

Radeon RX 7700S
+93% 10154
GeForce RTX 3050 Ti Mobile
5270

SiliconCat Rating

16
Ranks 16 among Mobile GPU on our website
130
Ranks 130 among all GPU on our website
97
Ranks 97 among Mobile GPU on our website
471
Ranks 471 among all GPU on our website
Radeon RX 7700S
GeForce RTX 3050 Ti Mobile

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