AMD Radeon R7 350


AMD Radeon R7 350 on Amazon USA


Specifications and performance with the benchmarks of the AMD Radeon R7 350 graphics card dedicated to the desktop sector, with 512 shading units, its maximum frequency is 0.8GHz 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 R7 350
Market (main) Desktop
Release date Q3 2016
Model number Cape Verde PRO Mocha
GPU name Cape Verde
Architecture GCN 1.0
Generation Pirate Islands R7 300
Lithography 28 nm
Transistors 1,500,000,000
Bus interface PCIe 3.0 x16
GPU clock 800 MHz
Memory frequency 1,125 MHz
Effective memory speed 4.5 Gbps
Memory size 2 GB
Memory type GDDR5
Memory bus 128 bit
Memory bandwidth 72.0 GB/s
TDP 55 W
Suggested PSU 250W ATX Power Supply
Multicard technology -
Outputs

1x DVI
1x HDMI
1x DisplayPort
Cores (compute units, SM, SMX) 8
Shading units 512
TMUs 32
ROPs 16
Cache memory 256 KB
Pixel fillrate 12.8 GPixel/s
Texture fillrate 25.6 GTexel/s
Performance FP32 (float) 819.2 GFLOPS
Performance FP64 (double) 51.2 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
XFX Radeon RX 560 4GB 14CU Single Fan 16.7
XFX Radeon RX 560 2GB 14CU Single Fan 16.7
AMD Radeon PRO 560 14.51
AMD Radeon PRO 555 13.6
Intel UHD Graphics 770 (Raptor Lake) 13.2
AMD Radeon R7 350 12.8
Nvidia GeForce GT 1010 11.74
Intel UHD Graphics 770 (Alder Lake) 11.6
Intel UHD Graphics 730 (Alder Lake) 11.2
Intel UHD Graphics 730 (Raptor Lake) 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
PNY T400 2GB 34.2
PNY T400 4GB 34.2
Nvidia T400 2GB 34.2
Nvidia T400 4GB 34.2
Intel UHD Graphics 770 (Raptor Lake) 26.4
AMD Radeon R7 350 25.6
Nvidia GeForce GT 1010 23.49
Intel UHD Graphics 770 (Alder Lake) 23.2
Nvidia Quadro P400 20.03
Intel UHD Graphics 730 (Alder Lake) 16.8



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.




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


FP32 Performance in GFLOPS
PNY T400 2GB 1,094
PNY T400 4GB 1,094
Nvidia T400 2GB 1,094
Nvidia T400 4GB 1,094
Intel UHD Graphics 770 (Raptor Lake) 844.8
AMD Radeon R7 350 819.2
Nvidia GeForce GT 1010 751.6
Intel UHD Graphics 770 (Alder Lake) 742.4
Nvidia Quadro P400 641
Intel UHD Graphics 730 (Alder Lake) 537.6



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
Kuroutoshikou GeForce GTX 1630 57.12
Nvidia GeForce GTX 1630 57.12
EVGA GeForce GTX 1630 SC Gaming 57.12
PNY T600 53.4
Nvidia T600 53.4
AMD Radeon R7 350 51.2
Nvidia Quadro P1000 44.54
Nvidia Quadro P620 43.33
Nvidia Quadro P600 37.37
MSI GeForce GT 1030 Aero ITX OC 36.43



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 R7 350 OEMAMD Radeon R7 350X OEM

Equivalence:

AMD Radeon R7 350 Nvidia Equivalent




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