AMD Radeon RX 6850M XT vs AMD Radeon RX 7800
GPU Comparison Result
Below are the results of a comparison of AMD Radeon RX 6850M XT and AMD Radeon RX 7800 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2800MHz (2581MHz vs 2800MHz)
- Larger Memory Size: 16GB (12GB vs 16GB)
- Higher Bandwidth: 576.0 GB/s (384.0 GB/s vs 576.0 GB/s)
- More Shading Units: 3840 (2560 vs 3840)
- Newer Launch Date: January 2023 (January 2022 vs January 2023)
Basic
AMD
Label Name
AMD
January 2022
Launch Date
January 2023
Mobile
Platform
Desktop
Radeon RX 6850M XT
Model Name
Radeon RX 7800
Mobility Radeon
Generation
Navi III
2321MHz
Base Clock
1800MHz
2581MHz
Boost Clock
2800MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
17,200 million
Transistors
Unknown
40
RT Cores
60
40
Compute Units
60
160
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.
240
TSMC
Foundry
TSMC
7 nm
Process Size
5 nm
RDNA 2.0
Architecture
RDNA 3.0
Memory Specifications
12GB
Memory Size
16GB
GDDR6
Memory Type
GDDR6
192bit
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.
256bit
2000MHz
Memory Clock
2250MHz
384.0 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.
576.0 GB/s
Theoretical Performance
165.2 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.
358.4 GPixel/s
413.0 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.
672.0 GTexel/s
26.43 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.
86.02 TFLOPS
825.9 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.
1344 GFLOPS
12.946
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.
42.15
TFLOPS
Miscellaneous
2560
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.
3840
128 KB per Array
L1 Cache
128 KB per Array
3MB
L2 Cache
4MB
165W
TDP
300W
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
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
2x 8-pin
6.5
Shader Model
6.7
64
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.
128
-
Suggested PSU
700W
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 6850M XT
12.946
Radeon RX 7800
42.15
+226%
3DMark Time Spy
Radeon RX 6850M XT
10392
Radeon RX 7800
20021
+93%
