AMD Radeon RX 300 Graphics Cards


AMD Radeon RX 300 on Amazon USA


Specifications of the video cards present in the group of graphics cards AMD Radeon RX 300. We also have a comparison of the respective performances with the benchmarks, the power in terms of GFLOPS FP16, GFLOPS FP32, GFLOPS FP64 if available, the filling rate in GPixels/s, the filtering rate in GTexels/s.






Specifications:


AMD Radeon R9 Nano 2015 Q3 28 nm 1000 1000 2000 4000 175 4096 256 64 64 64 256 8192 8192 512
AMD Radeon R9 M380 Mac Edition 2015 Q1 28 nm 900 1021 256 2000 768 48 16 12 16.34 49.01 1568 98.02
AMD Radeon R9 M380 2015 Q1 28 nm 900 1000 256 4000 768 48 16 12 16 48 1536 96
AMD Radeon R9 M370X 2015 Q2 28 nm 775 800 256 2000 640 40 16 10 12.8 32 1024 64
AMD Radeon R9 M360 2015 Q2 28 nm 900 925 256 4000 512 32 16 8 14.8 29.6 947.2 59.2
AMD Radeon R9 Fury X2 2015 Q2 28 nm 1050 1050 4000 8000 200 8192 512 128 128 134.4 537.6 17204
AMD Radeon R9 Fury X 2015 Q2 28 nm 1050 1050 2000 4000 275 4096 256 64 64 67.2 268.8 8602 8602 537.6
AMD Radeon R9 Fury 2015 Q3 28 nm 1000 1000 2000 4000 275 3584 224 64 56 64 224 7168 7168 448
AMD Radeon R9 390X 2015 Q2 28 nm 1050 1050 1000 8000 275 2816 176 64 44 67.2 184.8 5914 739.2
AMD Radeon R9 390 X2 2015 Q3 28 nm 1000 1000 2000 16000 580 5120 320 128 80 128 320 10240 1280
AMD Radeon R9 390 2015 Q2 28 nm 1000 1000 1000 8000 275 2560 160 64 40 64 160 5120 640
AMD Radeon R9 380X 2015 Q4 28 nm 970 970 512 4000 190 2048 128 32 32 31.04 124.2 3973 3973 248.3
AMD Radeon R9 380 OEM 2015 Q2 28 nm 918 918 512 4000 190 1792 112 32 28 29.38 102.8 3290 3290 205.6
AMD Radeon R9 380 2015 Q2 28 nm 970 970 512 2000 190 1792 112 32 28 31.04 108.6 3476 3476 217.3
AMD Radeon R9 370X 2015 Q3 28 nm 980 1030 512 2000 180 1280 80 32 24 32.96 82.4 2637 164.8
AMD Radeon R9 370 2015 Q3 28 nm 925 975 512 2000 110 1280 80 32 24 31.2 78 2496 156
AMD Radeon R9 360 OEM 2015 Q2 28 nm 1000 1050 256 2000 85 768 48 16 12 16.8 50.4 1613 100.8
AMD Radeon R7 M370 2015 Q2 28 nm 900 960 256 4000 384 24 8 6 7.68 23.04 737.3 46.08
AMD Radeon R7 M360 2015 Q2 28 nm 1100 1125 128 2000 384 24 8 6 9 27 864 864 54
AMD Radeon R7 M350 2015 Q2 28 nm 1000 1015 128 4000 384 24 8 6 8.12 24.36 779.5 779.5 48.72
AMD Radeon R7 M340 2015 Q2 28 nm 943 1021 128 2000 320 20 8 5 8.16 20.42 653.4 653.4 40.84
AMD Radeon R7 370 2015 Q2 28 nm 925 975 512 2000 110 100 1024 64 32 16 31.2 62.4 1097 124.8
AMD Radeon R7 360E 2015 Q4 28 nm 1050 1050 256 2000 75 768 48 16 12 16.8 50.4 1613 100.8
AMD Radeon R7 360 2015 Q2 28 nm 1000 1050 256 2000 100 768 48 16 12 16.8 50.4 1613 100.8
AMD Radeon R7 350X OEM 2015 Q2 28 nm 1000 1050 256 4000 65 384 24 8 6 8.4 25.2 806.4 50.4
AMD Radeon R7 350 OEM 2015 Q2 28 nm 1000 1050 256 2000 65 384 24 8 6 8.4 25.2 806.4 50.4
AMD Radeon R7 350 2016 Q3 28 nm 800 800 256 2000 55 512 32 16 8 12.8 25.6 819.2 51.2
AMD Radeon R7 340 OEM 2015 Q2 28 nm 730 780 256 2000 50 384 24 8 6 6.24 18.72 599 37.44
AMD Radeon R5 340X OEM 2015 Q2 28 nm 900 900 128 2000 65 384 24 8 6 7.2 21.6 691.2 43.2
AMD Radeon R5 340 OEM 2015 Q2 28 nm 730 780 128 1000 65 384 24 8 6 6.24 18.72 599 37.44
AMD Radeon R5 330 OEM 2015 Q2 28 nm 830 855 128 2000 50 320 20 8 5 6.84 17.1 547.2
AMD Radeon R5 310 OEM 2015 Q2 40 nm 775 775 128 2000 35 160 8 4 2 3.1 6.2 248




Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price. This is why we prefer for the moment not to show a price. You should refer to the respective online stores for the latest price, as well as availability.

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.

SM / SMX, CUs (compute units) : streaming multiprocessor. These processors are implied in the Kepler's power efficiency when the GPU is using one unified clock speed.

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.

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.


Performance with the benchmarks:




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


FP16 Performance in GFLOPS
AMD Radeon R9 Fury X 8,602
AMD Radeon R9 Nano 8,192
AMD Radeon R9 Fury 7,168
AMD Radeon R9 380X 3,973
AMD Radeon R9 380 3,476
AMD Radeon R9 380 OEM 3,290
AMD Radeon R7 M360 864
AMD Radeon R7 M350 779.5
AMD Radeon R7 M340 653.4



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 R9 Fury X2 17,204
AMD Radeon R9 390 X2 10,240
AMD Radeon R9 Fury X 8,602
AMD Radeon R9 Nano 8,192
AMD Radeon R9 Fury 7,168
AMD Radeon R9 390X 5,914
AMD Radeon R9 390 5,120
AMD Radeon R9 380X 3,973
AMD Radeon R9 380 3,476
AMD Radeon R9 380 OEM 3,290
AMD Radeon R9 370X 2,637
AMD Radeon R9 370 2,496
AMD Radeon R7 360 1,613
AMD Radeon R9 360 OEM 1,613
AMD Radeon R7 360E 1,613



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
AMD Radeon R9 390 X2 1,280
AMD Radeon R9 390X 739.2
AMD Radeon R9 390 640
AMD Radeon R9 Fury X 537.6
AMD Radeon R9 Nano 512
AMD Radeon R9 Fury 448
AMD Radeon R9 380X 248.3
AMD Radeon R9 380 217.3
AMD Radeon R9 380 OEM 205.6
AMD Radeon R9 370X 164.8
AMD Radeon R9 370 156
AMD Radeon R7 370 124.8
AMD Radeon R7 360E 100.8
AMD Radeon R7 360 100.8
AMD Radeon R9 360 OEM 100.8



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






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Information:

We do not assume any responsibility for the data displayed on our website. Please use at your own risk. Some or all of this data may be out of date or incomplete, please refer to the technical page on the respective manufacturer's website to find the latest up-to-date information regarding the specifics of these products.