AMD Radeon RX 6600 vs NVIDIA GeForce RTX 4050
GPU Comparison Result
Below are the results of a comparison of AMD Radeon RX 6600 and NVIDIA GeForce RTX 4050 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 8GB (8GB vs 6GB)
- Higher Bandwidth: 224.0 GB/s (224.0 GB/s vs 216.0 GB/s)
- Higher Boost Clock: 2640MHz (2491MHz vs 2640MHz)
- More Shading Units: 2560 (1792 vs 2560)
- Newer Launch Date: January 2023 (October 2021 vs January 2023)
Basic
AMD
Label Name
NVIDIA
October 2021
Launch Date
January 2023
Desktop
Platform
Desktop
Radeon RX 6600
Model Name
GeForce RTX 4050
Navi II
Generation
GeForce 40
1626MHz
Base Clock
2505MHz
2491MHz
Boost Clock
2640MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x8
Memory Specifications
8GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
128bit
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.
96bit
1750MHz
Memory Clock
2250MHz
224.0 GB/s
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.
216.0 GB/s
Theoretical Performance
159.4 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.
84.48 GPixel/s
279.0 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.
211.2 GTexel/s
17.86 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.
13.52 TFLOPS
558.0 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.
211.2 GFLOPS
8.749
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.
13.25
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.
18
1792
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.
2560
128 KB per Array
L1 Cache
128 KB (per SM)
2MB
L2 Cache
32MB
132W
TDP
150W
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
2.1
OpenCL Version
3.0
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 6600
8.749
GeForce RTX 4050
13.25
+51%
