AMD Radeon RX 5500M


AMD Radeon RX 5500M on Amazon USA


Specifications and performance with the benchmarks of the AMD Radeon RX 5500M graphics card dedicated to the laptop sector, with 1408 shading units, its maximum frequency is 1.4GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.







Specifications:


Graphics card AMD Radeon RX 5500M
Market (main) Laptop
Release date Q4 2019
Model number Navi 14 XTM
GPU name Navi 14
Architecture RDNA 1.0
Generation Mobility Radeon Navi
Lithography 7 nm
Transistors 6,400,000,000
Bus interface PCIe 4.0 x8
GPU base clock 1,375 MHz
GPU game clock 1,448 MHz
GPU boost clock 1,448 MHz
Memory frequency 1,645 MHz
Effective memory speed 14 Gbps
Memory size 4 GB
Memory type GDDR6
Memory bus 128 bit
Memory bandwidth 224.0 GB/s
TDP 85 W
Cores (compute units, SM, SMX) 22
Shading units 1,408
TMUs 88
ROPs 32
Cache memory 2 MB
Pixel fillrate 52.6 GPixel/s
Texture fillrate 144.8 GTexel/s
Performance FP16 (half) 9.3 TFLOPS
Performance FP32 (float) 4.6 TFLOPS
Performance FP64 (double) 289.5 GFLOPS
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TMUs: texture mapping units. This unit was a physical processor separated from the main graphics processing units. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model.

ROPs: render output units. The other name of this unit is raster operations pipeline. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The result will be a depth value or a final pixel. It is able to control antialiasing with the merge of several sample into one pixel.



Performance with the benchmarks:


Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.


Pixel fillrate performance comparison for this graphics card:


Pixel Fillrate Performance in GPixels/s
Nvidia GeForce RTX 4050 Mobile 56.16
Nvidia RTX A1000 Mobile 54.72
AMD Radeon PRO W5500M 54.4
Nvidia T500 Mobile 54.24
Nvidia T550 Mobile 53.28
AMD Radeon RX 5500M 52.64
Nvidia GeForce GTX 1050 Ti Mobile 51.84
Nvidia Quadro P2000 Mobile 51.42
Nvidia GeForce RTX 4050 Max-Q 51.36
Nvidia GeForce MX450 50.4



The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU). Matrix and vector operations allow pixel pipelines to process pixels and texels stored in the buffer. The ROPs will then generate transactions between the buffer and local memory. You should know that the higher the pixel rate, the greater the screen resolution that the GPU can manage.


Texture fillrate performance comparison for this graphics card:


Texture Fillrate Performance in GTexels/s
AMD Radeon RX 6550S 153.6
Nvidia GeForce GTX 1660 Ti Mobile 152.6
Nvidia RTX A3000 Mobile 12GB 149.8
AMD Radeon PRO W5500M 149.6
Nvidia Quadro RTX 3000 Max-Q 145.8
AMD Radeon RX 5500M 144.8
Nvidia GeForce RTX 2060 Mobile 144
Nvidia GeForce RTX 2060 Max-Q 142.2
Nvidia GeForce RTX 4060 Max-Q 141.1
Nvidia GeForce RTX 4050 Mobile 140.4



The term texture fillrate refers to the number of map texture elements (texels) that the GPU is capable of generating per second. This performance is achieved by multiplying the texture mapping units (TMUs) by the clock frequency of the graphics processor unit. To make a 3D scene in a video game or in 3D editing software such as Blender, the graphics card must perform what is called texture mapping with the texture mapping units.




FP16 performance comparison (half precision; float; floating-point 16) for this graphics card:


FP16 Performance in GFLOPS
AMD Radeon RX 6550S 9,830
Nvidia GeForce GTX 1660 Ti Mobile 9,769
Nvidia RTX A3000 Mobile 12GB 9,585
AMD Radeon PRO W5500M 9,574
Nvidia Quadro RTX 3000 Max-Q 9,331
AMD Radeon RX 5500M 9,265
Nvidia GeForce RTX 2060 Mobile 9,216
Nvidia GeForce RTX 2060 Max-Q 9,101
Nvidia GeForce RTX 4060 Max-Q 9,032
Nvidia GeForce RTX 4050 Mobile 8,986



The power in FP16, i.e. in a half-precision floating point format, makes it possible to evaluate the ability of the graphics card to manipulate useful data for example in computer applications, such as deep learning with neural networks. These applications use numeric values that have less precision, and therefore require less memory, compared to values with single or double precision formats.


FP32 performance comparison (single precision; float; floating-point 32) for this graphics card:


FP32 Performance in GFLOPS
Nvidia GeForce MX570 4,731
Nvidia RTX A1000 Mobile 4,669
Nvidia RTX A1000 Embedded 4,669
Nvidia RTX A1000 Mobile 6GB 4,669
Nvidia Quadro RTX 3000 Max-Q 4,666
AMD Radeon RX 5500M 4,632
Nvidia GeForce RTX 2060 Mobile 4,608
Nvidia GeForce RTX 2060 Max-Q 4,550
AMD Radeon PRO 5500M 4,454
Nvidia Quadro P4000 Max-Q 4,401



Single-precision floating-point format, also called FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point. FP32 power helps assess the video card's capabilities for generating rendering workloads. Video games use INT32 and FP32 cores to manage calculations with integers and numbers with decimals in order to produce maps, bone matrices on which the vertex shaders will calculate the vertices. Values in single precision format are mainly used in video games and 3D software.


FP64 performance comparison (double precision; float; floating-point 64) for this graphics card:


FP64 Performance in GFLOPS
Nvidia GeForce RTX 2080 Super Mobile 299.5
AMD Radeon PRO W5500M 299.2
Nvidia GeForce RTX 3080 Mobile 296.6
Nvidia GeForce RTX 2080 Mobile 292.6
Nvidia GeForce RTX 3080 Ti Mobile 292.3
AMD Radeon RX 5500M 289.5
Nvidia Quadro P5200 Mobile 281.4
AMD Radeon PRO 5500M 278.4
AMD Radeon PRO W6500M 261.1
Nvidia GeForce RTX 3080 Ti Max-Q 261



FP64 performance refers to solvers with double precision. We can thus determine how many operations the GPU can calculate for certain specific tasks, such as scientific calculations, climate forecasts, calculations related to fluid dynamics, geophysics, computational chemistry. The FP64 power capabilities are mainly intended for professionals who wish to carry out advanced calculations.



List of comparisons:

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List of benchmarks:

FP32 Performance

See also:

AMD Radeon RX 5500AMD Radeon RX 5500 OEMAMD Radeon RX 5500 XT

Equivalence:

AMD Radeon RX 5500M Nvidia Equivalent




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