AMD Radeon 680M vs NVIDIA GeForce RTX 3060

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 680M and NVIDIA GeForce RTX 3060 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: 2200MHz (2200MHz vs 1777MHz)
  • Newer Launch Date: January 2022 (January 2022 vs January 2021)
  • Larger Memory Size: 12GB (System Shared vs 12GB)
  • Higher Bandwidth: 360.0 GB/s (System Dependent vs 360.0 GB/s)
  • More Shading Units: 3584 (768 vs 3584)

Basic

AMD
Label Name
NVIDIA
January 2022
Launch Date
January 2021
Integrated
Platform
Desktop
Radeon 680M
Model Name
GeForce RTX 3060
Navi II IGP
Generation
GeForce 30
2000MHz
Base Clock
1320MHz
2200MHz
Boost Clock
1777MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16

Memory Specifications

System Shared
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
SystemShared
Memory Clock
1875MHz
System 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.
360.0 GB/s

Theoretical Performance

70.40 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.
85.30 GPixel/s
105.6 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.
199.0 GTexel/s
6.758 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.
12.74 TFLOPS
211.2 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.
199.0 GFLOPS
3.311 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.
12.995 TFLOPS

Miscellaneous

-
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
768
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.
3584
128 KB per Array
L1 Cache
128 KB (per SM)
2MB
L2 Cache
3MB
50W
TDP
170W
1.3
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
2.0
OpenCL Version
3.0

Benchmarks

FP32 (float) / TFLOPS
Radeon 680M
3.311
GeForce RTX 3060
12.995 +292%
3DMark Time Spy
Radeon 680M
2399
GeForce RTX 3060
8882 +270%