Radeon 780M
AMD Radeon 780M vs AMD Radeon RX 7800
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon 780M and AMD Radeon RX 7800 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
AMD
Launch Date
January 2023
January 2023
Platform
Integrated
Desktop
Model Name
Radeon 780M
Radeon RX 7800
Generation
Navi III IGP
Navi III
Base Clock
1500MHz
1800MHz
Boost Clock
2900MHz
2800MHz
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.
768
3840
Transistors
25,390 million
Unknown
RT Cores
12
60
Compute Units
12
60
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.
48
240
L1 Cache
128 KB per Array
128 KB per Array
L2 Cache
2MB
4MB
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
4 nm
5 nm
Architecture
RDNA 3.0
RDNA 3.0
TDP
15W
300W
Memory Specifications
Memory Size
System Shared
16GB
Memory Type
System Shared
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.
System Shared
256bit
Memory Clock
SystemShared
2250MHz
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 Dependent
576.0 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.
92.80 GPixel/s
358.4 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.
139.2 GTexel/s
672.0 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.
17.82 TFLOPS
86.02 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.
556.8 GFLOPS
1344 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.
8.558
TFlops
41.311
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
2.1
2.2
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
None
2x 8-pin
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.
32
128
Shader Model
6.7
6.7
Suggested PSU
-
700W
Advantages
Radeon 780M
- Higher Boost Clock: 2900MHz (2900MHz vs 2800MHz)
Radeon RX 7800
- More Shading Units: 3840 (768 vs 3840)
- Larger Memory Size: 16GB (System Shared vs 16GB)
- Higher Bandwidth: 576.0 GB/s (System Dependent vs 576.0 GB/s)
FP32 (float)
Radeon 780M
8.558
TFlops
Radeon RX 7800
+383%
41.311
TFlops
3DMark Time Spy
Radeon 780M
2755
Radeon RX 7800
+627%
20021
Blender
Radeon 780M
243
Radeon RX 7800
+901%
2432
SiliconCat Rating
333
Ranks 333 among all GPU on our website
31
Ranks 31 among Desktop GPU on our website
59
Ranks 59 among all GPU on our website
Radeon RX 7800
