GeForce RTX 4080 Mobile
NVIDIA GeForce RTX 4080 Mobile vs AMD Radeon 780M
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA GeForce RTX 4080 Mobile and AMD Radeon 780M video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
AMD
Launch Date
January 2023
January 2023
Platform
Mobile
Integrated
Model Name
GeForce RTX 4080 Mobile
Radeon 780M
Generation
GeForce 40 Mobile
Navi III IGP
Base Clock
1290MHz
1500MHz
Boost Clock
1665MHz
2900MHz
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.
7424
768
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.
58
-
Transistors
35,800 million
25,390 million
RT Cores
58
12
Compute Units
-
12
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.
232
-
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.
232
48
L1 Cache
128 KB (per SM)
128 KB per Array
L2 Cache
48MB
2MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x8
Foundry
TSMC
TSMC
Process Size
4 nm
4 nm
Architecture
Ada Lovelace
RDNA 3.0
TDP
110W
15W
Memory Specifications
Memory Size
12GB
System Shared
Memory Type
GDDR6
System Shared
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.
192bit
System Shared
Memory Clock
2250MHz
SystemShared
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.
432.0 GB/s
System Dependent
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.
133.2 GPixel/s
92.80 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.
386.3 GTexel/s
139.2 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.
24.72 TFLOPS
17.82 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.
386.3 GFLOPS
556.8 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.
24.224
TFlops
8.558
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
2.1
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
CUDA
8.9
-
Power Connectors
None
None
Shader Model
6.7
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.
80
32
Advantages
GeForce RTX 4080 Mobile
- More Shading Units: 7424 (7424 vs 768)
- Larger Memory Size: 12GB (12GB vs System Shared)
- Higher Bandwidth: 432.0 GB/s (432.0 GB/s vs System Dependent)
Radeon 780M
- Higher Boost Clock: 2900MHz (1665MHz vs 2900MHz)
- Newer Launch Date: January 2023 (January 2023 vs January 2023)
FP32 (float)
GeForce RTX 4080 Mobile
+183%
24.224
TFlops
Radeon 780M
8.558
TFlops
3DMark Time Spy
GeForce RTX 4080 Mobile
+614%
19674
Radeon 780M
2755
Blender
GeForce RTX 4080 Mobile
+2522%
6371
Radeon 780M
243
SiliconCat Rating
13
Ranks 13 among Mobile GPU on our website
102
Ranks 102 among all GPU on our website
334
Ranks 334 among all GPU on our website
Radeon 780M
