Arc A570M
Intel Arc A570M vs NVIDIA GeForce RTX 4070
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc A570M and NVIDIA GeForce RTX 4070 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
NVIDIA
Launch Date
August 2023
April 2023
Platform
Mobile
Desktop
Model Name
Arc A570M
GeForce RTX 4070
Generation
Alchemist
GeForce 40
Base Clock
900MHz
1920MHz
Boost Clock
1300MHz
2475MHz
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
5888
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.
-
46
Transistors
Unknown
35,800 million
RT Cores
16
46
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.
256
184
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
184
L1 Cache
-
128 KB (per SM)
L2 Cache
8MB
36MB
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
6 nm
5 nm
Architecture
Generation 12.7
Ada Lovelace
TDP
75W
200W
Memory Specifications
Memory Size
8GB
12GB
Memory Type
GDDR6
GDDR6X
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
192bit
Memory Clock
1750MHz
1313MHz
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.
224.0 GB/s
504.2 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.
83.20 GPixel/s
158.4 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.
166.4 GTexel/s
455.4 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.
10.65 TFLOPS
29.15 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.
-
455.4 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.
5.218
TFlops
29.73
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
3.0
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
CUDA
-
8.9
Power Connectors
-
1x 16-pin
Shader Model
6.6
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.
64
64
Suggested PSU
-
550W
Advantages
Arc A570M
- Newer Launch Date: August 2023 (August 2023 vs April 2023)
GeForce RTX 4070
- Higher Boost Clock: 2475MHz (1300MHz vs 2475MHz)
- More Shading Units: 5888 (2048 vs 5888)
- Larger Memory Size: 12GB (8GB vs 12GB)
- Higher Bandwidth: 504.2 GB/s (224.0 GB/s vs 504.2 GB/s)
FP32 (float)
Arc A570M
5.218
TFlops
GeForce RTX 4070
+470%
29.73
TFlops
SiliconCat Rating
95
Ranks 95 among Mobile GPU on our website
461
Ranks 461 among all GPU on our website
49
Ranks 49 among Desktop GPU on our website
90
Ranks 90 among all GPU on our website
GeForce RTX 4070
