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GeForce GTX 1060 vs Radeon R9 390 8G

Intro

The GeForce GTX 1060 makes use of a 16 nm design. nVidia has clocked the core frequency at 1506 MHz. The GDDR5 RAM is set to run at a frequency of 2000 MHz on this specific model. It features 1280 SPUs along with 80 Texture Address Units and 48 Rasterization Operator Units.

Compare all of that to the Radeon R9 390 8G, which uses a 28 nm design. AMD has clocked the core frequency at 1000 MHz. The GDDR5 memory is set to run at a frequency of 1500 MHz on this specific card. It features 2560 SPUs as well as 160 TAUs and 64 Rasterization Operator Units.

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Benchmarks

These are real-world performance benchmarks that were submitted by Hardware Compare users. The scores seen here are the average of all benchmarks submitted for each respective test and hardware.

Zcash Mining Hash Rate

Radeon R9 390 8G 326 Sol/s
GeForce GTX 1060 311 Sol/s
Difference: 15 (5%)

3DMark Fire Strike Graphics Score

Radeon R9 390 8G 12733 points
GeForce GTX 1060 12359 points
Difference: 374 (3%)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 1060 120 Watts
Radeon R9 390 8G 275 Watts
Difference: 155 Watts (129%)

Memory Bandwidth

Performance-wise, the Radeon R9 390 8G should theoretically be much better than the GeForce GTX 1060 overall. (explain)

Radeon R9 390 8G 384000 MB/sec
GeForce GTX 1060 196608 MB/sec
Difference: 187392 (95%)

Texel Rate

The Radeon R9 390 8G should be much (approximately 33%) more effective at AF than the GeForce GTX 1060. (explain)

Radeon R9 390 8G 160000 Mtexels/sec
GeForce GTX 1060 120480 Mtexels/sec
Difference: 39520 (33%)

Pixel Rate

The GeForce GTX 1060 will be just a bit (more or less 13%) better at FSAA than the Radeon R9 390 8G, and also capable of handling higher resolutions more effectively. (explain)

GeForce GTX 1060 72288 Mpixels/sec
Radeon R9 390 8G 64000 Mpixels/sec
Difference: 8288 (13%)

Please note that the above 'benchmarks' are all just theoretical - the results were calculated based on the card's specifications, and real-world performance may (and probably will) vary at least a bit.

Price Comparison

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GeForce GTX 1060

Amazon.com

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Radeon R9 390 8G

Amazon.com

Check prices at:

Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.

Specifications

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Model GeForce GTX 1060 Radeon R9 390 8G
Manufacturer nVidia AMD
Year July 2016 June 2015
Code Name GP106-400 Grenada PRO
Memory 6144 MB 8192 MB
Core Speed 1506 MHz 1000 MHz
Memory Speed 8000 MHz 6000 MHz
Power (Max TDP) 120 watts 275 watts
Bandwidth 196608 MB/sec 384000 MB/sec
Texel Rate 120480 Mtexels/sec 160000 Mtexels/sec
Pixel Rate 72288 Mpixels/sec 64000 Mpixels/sec
Unified Shaders 1280 2560
Texture Mapping Units 80 160
Render Output Units 48 64
Bus Type GDDR5 GDDR5
Bus Width 192-bit 512-bit
Fab Process 16 nm 28 nm
Transistors 4400 million 6200 million
Bus PCIe 3.0 x16 PCIe 3.0 ×16
DirectX Version DirectX 12.0 DirectX 12.0
OpenGL Version OpenGL 4.5 OpenGL 4.5

Memory Bandwidth: Memory bandwidth is the max amount of data (in units of MB per second) that can be moved past the external memory interface in one second. It is calculated by multiplying the interface width by its memory clock speed. If it uses DDR type RAM, the result should be multiplied by 2 once again. If DDR5, multiply by 4 instead. The better the bandwidth is, the better the card will be in general. It especially helps with anti-aliasing, HDR and high resolutions.

Texel Rate: Texel rate is the maximum amount of texture map elements (texels) that can be processed per second. This number is calculated by multiplying the total texture units of the card by the core clock speed of the chip. The higher the texel rate, the better the video card will be at texture filtering (anisotropic filtering - AF). It is measured in millions of texels in a second.

Pixel Rate: Pixel rate is the maximum amount of pixels that the graphics card could possibly write to its local memory in one second - measured in millions of pixels per second. The number is calculated by multiplying the amount of Raster Operations Pipelines by the the core clock speed. ROPs (Raster Operations Pipelines - aka Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel fill rate also depends on many other factors, especially the memory bandwidth - the lower the bandwidth is, the lower the ability to get to the max fill rate.

Display Prices

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GeForce GTX 1060

Amazon.com

Check prices at:

Radeon R9 390 8G

Amazon.com

Check prices at:

Please note that the price comparisons are based on search keywords - sometimes it might show cards with very similar names that are not exactly the same as the one chosen in the comparison. We do try to filter out the wrong results as best we can, though.

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