Home / GPU Comparison / AMD Radeon 820M or AMD Radeon 610M: What's better?

AMD Radeon 820M
vs
AMD Radeon 610M

AMD Radeon 820M
vs
AMD Radeon 610M

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 820M and AMD Radeon 610M video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon 820M
AMD Radeon 820M
AMD Radeon 820M
  • Newer Launch Date: July 2025 (July 2025 vs September 2022)
AMD Radeon 610M
AMD Radeon 610M
AMD Radeon 610M
  • Higher Boost Clock: 1900-2200 MHz (2800 MHz vs 1900-2200 MHz)

Basic

Intel
Label Name
Intel
July 2025
Launch Date
September 2022
Integrated
Platform
Integrated
Krackan Point
Former Codename
Mendocino
4 nm
GPU Lithography
6 nm
AMD Radeon 820M
Model Name
AMD Radeon 610M
Radeon 800M Series
Generation
Radeon 600M Series
-
Base Clock
400 MHz
2800 MHz
Boost Clock
1900-2200 MHz
Integrated
Bus Interface
Integrated
2
RT Cores
2
2
Compute Units
2
No
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.
No
8
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.
8
TSMC
Foundry
TSMC
4 nm
Process Size
6 nm
RDNA 3.5
Architecture
RDNA 2

Memory Specifications

Shared system memory
Memory Size
Shared system memory
DDR5 / LPDDR5X shared system memory
Memory Type
LPDDR5 shared system memory
Dual-channel system memory, platform dependent
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.
Dual-channel system memory, platform dependent
DDR5-5600 / LPDDR5X-8000, platform dependent
Memory Clock
LPDDR5-5500 on Ryzen 7020U; platform dependent
System memory dependent
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.
System memory dependent

Display and Media

Yes
AMD FreeSync
Yes
Encode/Decode
AV1 Encode/Decode
Decode only
Adaptive-Sync, HBR3, UHBR10
DisplayPort Extensions
-
Encode/Decode
H.264 Hardware Encode/Decode
Encode/Decode
Encode/Decode
H.265 HEVC Hardware Encode/Decode
Encode/Decode
No hardware support
H.266 VVC Hardware Encode/Decode
No hardware support
2.3
HDCP Version
2.3
2.1
HDMI Version
2.1
No
Intel Quick Sync Video
No
7680x4320 @ 60Hz
Max Resolution DP
-
7680x4320 @ 60Hz
Max Resolution HDMI
-
1080p60 8bpc MPEG2, 1080p60 8bpc VC1, 1080p786 8/10bpc VP9, 2160p196 8/10bpc VP9, 4320p49 8/10bpc VP9, 1080p1200 8bpc H.264, 2160p300 8bpc H.264, 4320p75 8bpc H.264, 1080p786 8/10bpc H.265, 2160p196 8/10bpc H.265, 4320p49 8/10bpc H.265, 1080p960 8/10bpc AV1, 2160p240 8/10bpc AV1, 4320p60 8/10bpc AV1
Max Video Decode Bandwidth
-
1080p630 8bpc H.264, 1440p373 8bpc H.264, 2160p175 8bpc H.264, 1080p630 8bpc H.265, 1440p373 8bpc H.265, 2160p175 8bpc H.265, 4320p43 8bpc H.265, 1080p864 8/10bpc AV1, 1440p513 8/10bpc AV1, 2160p240 8/10bpc AV1, 4320p60 8/10bpc AV1
Max Video Encode Bandwidth
-
4
Number of Displays Supported
4
HDMI 2.1, DisplayPort 2.1, USB-C DisplayPort Alt Mode; device dependent
Outputs
HDMI 2.1, DisplayPort 1.4, USB-C DisplayPort Alt Mode; device dependent
Yes
USB Type-C DisplayPort Alternate Mode
Yes
Miracast
Wireless Display
Miracast

Theoretical Performance

11.2 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.
7.6-8.8 GPixel/s
22.4 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.
15.2-17.6 GTexel/s
1.43 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.
0.97-1.13 TFLOPS
44.8 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.
30.4-35.2 GFLOPS
0.72 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.
0.49 TFLOPS

AI Features

No
Intel Deep Learning Boost on GPU
No
Up to 50 TOPS
NPU TOPS
-
Up to 56 TOPS
Processor Overall TOPS
-

Miscellaneous

14 total / 14 usable
Native PCIe Lanes
4 total / 4 usable
PCIe 4.0
PCI Express Version
PCIe 3.0
128
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.
128
Shared with processor; 15-28 W cTDP
TDP
Shared with processor; 15 W default TDP on Ryzen 5 7520U
1.4
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
2.1
OpenCL Version
2.1
4.6
OpenGL
4.6
No
CUDA
No
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
None
4
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.
4
6.7
Shader Model
6.7

Benchmarks

FP32 (float) / TFLOPS
Radeon 820M
0.72 +47%
Radeon 610M
0.49
3DMark Time Spy
Radeon 820M
786 +49%
Radeon 610M
528
Vulkan
Radeon 820M
10321 +49%
Radeon 610M
6904
OpenCL
Radeon 820M
6593 +45%
Radeon 610M
4535

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