AMD Radeon RX 6600 LE
About GPU
The AMD Radeon RX 6600 LE is a solid mid-range GPU that offers excellent performance for 1080p gaming. With a base clock of 1626 MHz and a boost clock of 2495 MHz, this GPU delivers smooth and fast gameplay, making it a great option for gamers looking for a budget-friendly yet powerful graphics card.
The 8GB of GDDR6 memory and a memory clock of 1750 MHz provide ample power for handling high-resolution textures and demanding games, while the 1792 shading units and 2MB L2 cache contribute to overall smooth and responsive performance.
One of the standout features of the Radeon RX 6600 LE is its power efficiency, with a TDP of 132W. This means it can deliver solid gaming performance without consuming excessive power or generating excessive heat, making it an excellent choice for smaller form factor builds or for users conscious of their system's power consumption.
In benchmark tests, the Radeon RX 6600 LE has demonstrated a theoretical performance of 9.121 TFLOPS, putting it on par with other GPUs in its price range. It performs admirably in a wide range of modern games, consistently delivering high frame rates and excellent visual fidelity.
Overall, the AMD Radeon RX 6600 LE is a fantastic choice for gamers looking for a budget-friendly GPU that doesn't compromise on performance. With its impressive specifications and solid real-world performance, it's a great option for anyone looking to build a capable gaming rig without breaking the bank.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2023
Model Name
Radeon RX 6600 LE
Generation
Navi II
Base Clock
1626 MHz
Boost Clock
2495 MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
8GB
Memory Type
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.
128bit
Memory Clock
1750 MHz
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.
224.0GB/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.
159.7 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.
279.4 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.
17.88 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.
558.9 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.
9.121
TFLOPS
Miscellaneous
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.
1792
L1 Cache
128 KB per Array
L2 Cache
2 MB
TDP
132W
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
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
9.121
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS