Arc A770M
Intel Arc A770M vs NVIDIA GeForce RTX 3060 Mobile
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc A770M and NVIDIA GeForce RTX 3060 Mobile video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
NVIDIA
Launch Date
January 2022
January 2021
Platform
Mobile
Mobile
Model Name
Arc A770M
GeForce RTX 3060 Mobile
Generation
Alchemist
GeForce 30 Mobile
Base Clock
300MHz
900MHz
Boost Clock
1650MHz
1425MHz
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.
4096
3840
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.
-
30
Transistors
21,700 million
12,000 million
RT Cores
32
30
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.
-
120
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.
256
120
L1 Cache
-
128 KB (per SM)
L2 Cache
16MB
3MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
Samsung
Process Size
6 nm
8 nm
Architecture
Generation 12.7
Ampere
TDP
120W
80W
Memory Specifications
Memory Size
16GB
6GB
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.
256bit
192bit
Memory Clock
2000MHz
1750MHz
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.
512.0 GB/s
336.0 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.
211.2 GPixel/s
68.40 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.
422.4 GTexel/s
171.0 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.
27.03 TFLOPS
10.94 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.
-
171.0 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.
12.986
TFlops
11.384
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
-
8.6
Power Connectors
-
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.
128
48
Shader Model
6.6
6.6
Advantages
Arc A770M
- Higher Boost Clock: 1650MHz (1650MHz vs 1425MHz)
- More Shading Units: 4096 (4096 vs 3840)
- Larger Memory Size: 16GB (16GB vs 6GB)
- Higher Bandwidth: 512.0 GB/s (512.0 GB/s vs 336.0 GB/s)
- Newer Launch Date: January 2022 (January 2022 vs January 2021)
FP32 (float)
Arc A770M
+14%
12.986
TFlops
GeForce RTX 3060 Mobile
11.384
TFlops
3DMark Time Spy
Arc A770M
+25%
10680
GeForce RTX 3060 Mobile
8533
Blender
Arc A770M
1456
GeForce RTX 3060 Mobile
+79%
2610
SiliconCat Rating
33
Ranks 33 among Mobile GPU on our website
230
Ranks 230 among all GPU on our website
42
Ranks 42 among Mobile GPU on our website
270
Ranks 270 among all GPU on our website
GeForce RTX 3060 Mobile
