AMD Radeon Graphics 448SP


AMD Radeon Graphics 448SP on Amazon USA


Specifications and performance with the benchmarks of the AMD Radeon Graphics 448SP graphics card dedicated to the laptop sector, with 448 shading units, its maximum frequency is 1.6GHz 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 Graphics 448SP
Market (main) Laptop
Release date Q1 2020
GPU name Renoir
Architecture GCN 5.1
Generation Vega Mobile
Lithography 7 nm
Transistors 9,800,000,000
Bus interface IGP
GPU base clock 400 MHz
GPU boost clock 1,600 MHz
TDP 15 W
Cores (compute units, SM, SMX) 7
Shading units 448
TMUs 28
ROPs 8
Pixel fillrate 12.8 GPixel/s
Texture fillrate 44.8 GTexel/s
Performance FP16 (half) 2.9 TFLOPS
Performance FP32 (float) 1.4 TFLOPS
Performance FP64 (double) 89.6 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
Intel UHD Graphics (Tiger Lake 48EU) 16.2
AMD Radeon Vega 8 Mobile 16
AMD Radeon RX Vega 8 14
AMD Radeon Graphics 512SP 14
AMD Radeon Graphics 448SP 12.8
AMD Radeon RX Vega 7 12.8
AMD Radeon RX Vega 6 12
AMD Radeon Graphics 384SP 12
AMD Radeon RX Vega 5 11.2
AMD Radeon Graphics 320SP 11.2



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
Intel Iris Plus Graphics 640 52.8
Intel Iris Plus Graphics 645 50.4
Intel Iris Plus Graphics 655 50.4
AMD Radeon Vega 9 46.8
AMD Radeon Graphics 448SP 44.8
AMD Radeon RX Vega 7 44.8
Intel Iris Xe Graphics G7 80EU 44
AMD Radeon Vega 8 (Picasso) 38.4
AMD Radeon RX Vega 6 36
AMD Radeon Graphics 384SP 36



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 Vega 8 3,584
AMD Radeon Vega 10 3,584
Intel Iris Xe Graphics G7 96EU 3,379
AMD Radeon Vega 9 2,995
AMD Radeon Graphics 448SP 2,867
AMD Radeon RX Vega 7 2,867
Intel Iris Xe Graphics G7 80EU 2,816
AMD Radeon RX Vega M GL 2,588
AMD Radeon Vega 8 (Picasso) 2,458
AMD Radeon RX Vega 6 2,304



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
AMD Radeon RX Vega 8 1,792
Intel Iris Xe Graphics G7 96EU 1,690
Qualcomm Adreno 675 1,550
AMD Radeon Vega 9 1,498
AMD Radeon Graphics 448SP 1,434
AMD Radeon RX Vega 7 1,434
Intel Iris Xe Graphics G7 80EU 1,408
Intel UHD Graphics (Tiger Lake 48EU) 1,382.4
AMD Radeon Vega 8 (Picasso) 1,229
AMD Radeon RX Vega 6 1,152



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
Intel UHD Graphics (Jasper Lake 32EU) 96
Intel UHD Graphics 620 (Whiskey Lake) 96
Intel UHD Graphics 630 Mobile (Coffee Lake) 96
AMD Radeon Vega 9 93.6
AMD Radeon Graphics 448SP 89.6
AMD Radeon RX Vega 7 89.6
Intel UHD Graphics (Tiger Lake 16EU) 86.4
AMD Radeon Vega 8 (Picasso) 76.8
AMD Radeon RX Vega 6 72
Intel UHD Graphics (Jasper Lake 24EU) 72



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



Processors with the graphics card AMD Radeon Graphics 448SP:

AMD Ryzen 5 5500UAMD Ryzen 7 4700UAMD Ryzen 7 4800HAMD Ryzen 7 4800HSAMD Ryzen Embedded V2516AMD Ryzen Embedded V2546AMD Ryzen Embedded V2718AMD Ryzen Embedded V2748

Equivalence:

AMD Radeon Graphics 448SP Nvidia Equivalent




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