Radeon 680M
AMD Radeon 680M vs NVIDIA GeForce RTX 3060
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon 680M and NVIDIA GeForce RTX 3060 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
NVIDIA
Launch Date
January 2022
January 2021
Platform
Integrated
Desktop
Model Name
Radeon 680M
GeForce RTX 3060
Generation
Navi II IGP
GeForce 30
Base Clock
2000MHz
1320MHz
Boost Clock
2200MHz
1777MHz
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
3584
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.
-
28
Transistors
13,100 million
12,000 million
RT Cores
12
28
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.
-
112
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
112
L1 Cache
128 KB per Array
128 KB (per SM)
L2 Cache
2MB
3MB
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x16
Foundry
TSMC
Samsung
Process Size
6 nm
8 nm
Architecture
RDNA 2.0
Ampere
TDP
50W
170W
Memory Specifications
Memory Size
System Shared
12GB
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
192bit
Memory Clock
SystemShared
1875MHz
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
360.0 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.
70.40 GPixel/s
85.30 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.
105.6 GTexel/s
199.0 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.
6.758 TFLOPS
12.74 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.
211.2 GFLOPS
199.0 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.
3.245
TFlops
12.736
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
2.0
3.0
OpenGL
4.6
4.6
CUDA
-
8.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
None
1x 12-pin
Shader Model
6.7
6.6
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
48
Suggested PSU
-
450W
Advantages
Radeon 680M
- Higher Boost Clock: 2200MHz (2200MHz vs 1777MHz)
- Newer Launch Date: January 2022 (January 2022 vs January 2021)
GeForce RTX 3060
- More Shading Units: 3584 (768 vs 3584)
- Larger Memory Size: 12GB (System Shared vs 12GB)
- Higher Bandwidth: 360.0 GB/s (System Dependent vs 360.0 GB/s)
FP32 (float)
Radeon 680M
3.245
TFlops
GeForce RTX 3060
+292%
12.736
TFlops
3DMark Time Spy
Radeon 680M
2351
GeForce RTX 3060
+278%
8881
SiliconCat Rating
618
Ranks 618 among all GPU on our website
117
Ranks 117 among Desktop GPU on our website
239
Ranks 239 among all GPU on our website
GeForce RTX 3060
