Home / GPU Comparison / AMD Radeon R9 FURY X or AMD Radeon RX 6500 XT: What's better?

AMD Radeon R9 FURY X
vs
AMD Radeon RX 6500 XT

AMD Radeon R9 FURY X
vs
AMD Radeon RX 6500 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon R9 FURY X and AMD Radeon RX 6500 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon R9 FURY X
AMD Radeon R9 FURY X
AMD Radeon R9 FURY X
  • Higher Bandwidth: 512.0 GB/s (512.0 GB/s vs 143.9 GB/s)
  • More Shading Units: 4096 (4096 vs 1024)
AMD Radeon RX 6500 XT
AMD Radeon RX 6500 XT
AMD Radeon RX 6500 XT
  • Newer Launch Date: January 2022 (June 2015 vs January 2022)

Basic

AMD
Label Name
AMD
June 2015
Launch Date
January 2022
Desktop
Platform
Desktop
Radeon R9 FURY X
Model Name
Radeon RX 6500 XT
Pirate Islands
Generation
Navi II
-
Base Clock
2310MHz
-
Boost Clock
2815MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x4
8,900 million
Transistors
5,400 million
-
RT Cores
16
64
Compute Units
16
256
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.
64
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
GCN 3.0
Architecture
RDNA 2.0

Memory Specifications

4GB
Memory Size
4GB
HBM
Memory Type
GDDR6
4096bit
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.
64bit
500MHz
Memory Clock
2248MHz
512.0 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.
143.9 GB/s

Theoretical Performance

67.20 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.
90.08 GPixel/s
268.8 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.
180.2 GTexel/s
8.602 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.
11.53 TFLOPS
537.6 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.
360.3 GFLOPS
8.43 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.
5.65 TFLOPS

Miscellaneous

4096
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.
1024
16 KB (per CU)
L1 Cache
128 KB per Array
2MB
L2 Cache
1024KB
275W
TDP
107W
1.2
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
2.2
4.6
OpenGL
4.6
12 (12_0)
DirectX
12 Ultimate (12_2)
2x 8-pin
Power Connectors
1x 6-pin
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.
32
6.3
Shader Model
6.6
600W
Suggested PSU
300W

Benchmarks

Shadow of the Tomb Raider 2160p / fps
Radeon R9 FURY X
31 +107%
Radeon RX 6500 XT
15
Shadow of the Tomb Raider 1440p / fps
Radeon R9 FURY X
64 +100%
Radeon RX 6500 XT
32
Shadow of the Tomb Raider 1080p / fps
Radeon R9 FURY X
82 +78%
Radeon RX 6500 XT
46
FP32 (float) / TFLOPS
Radeon R9 FURY X
8.43 +49%
Radeon RX 6500 XT
5.65
3DMark Time Spy
Radeon R9 FURY X
5070 +0%
Radeon RX 6500 XT
5061