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GeForce GTX 1060 3GB vs Radeon R9 M295X

Intro

The GeForce GTX 1060 3GB uses a 16 nm design. nVidia has set the core frequency at 1506 MHz. The GDDR5 memory runs at a speed of 2000 MHz on this particular card. It features 1152 SPUs along with 72 Texture Address Units and 48 Rasterization Operator Units.

Compare those specs to the Radeon R9 M295X, which makes use of a 28 nm design. AMD has set the core frequency at 750 MHz. The GDDR5 memory works at a frequency of 1375 MHz on this particular model. It features 2048 SPUs along with 128 TAUs and 32 Rasterization Operator Units.

Display Graphs

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Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 1060 3GB 120 Watts
Radeon R9 M295X 125 Watts
Difference: 5 Watts (4%)

Memory Bandwidth

Theoretically speaking, the GeForce GTX 1060 3GB is 12% quicker than the Radeon R9 M295X overall, due to its greater data rate. (explain)

GeForce GTX 1060 3GB 196608 MB/sec
Radeon R9 M295X 176000 MB/sec
Difference: 20608 (12%)

Texel Rate

The GeForce GTX 1060 3GB is a small bit (about 13%) better at anisotropic filtering than the Radeon R9 M295X. (explain)

GeForce GTX 1060 3GB 108432 Mtexels/sec
Radeon R9 M295X 96000 Mtexels/sec
Difference: 12432 (13%)

Pixel Rate

The GeForce GTX 1060 3GB will be a lot (approximately 201%) faster with regards to anti-aliasing than the Radeon R9 M295X, and will be capable of handling higher screen resolutions better. (explain)

GeForce GTX 1060 3GB 72288 Mpixels/sec
Radeon R9 M295X 24000 Mpixels/sec
Difference: 48288 (201%)

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 3GB

Amazon.com

Radeon R9 M295X

Amazon.com

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 3GB Radeon R9 M295X
Manufacturer nVidia AMD
Year August 2016 2014
Code Name GP106-300 Unknown
Memory 3072 MB 4096 MB
Core Speed 1506 MHz 750 MHz
Memory Speed 8000 MHz 5500 MHz
Power (Max TDP) 120 watts 125 watts
Bandwidth 196608 MB/sec 176000 MB/sec
Texel Rate 108432 Mtexels/sec 96000 Mtexels/sec
Pixel Rate 72288 Mpixels/sec 24000 Mpixels/sec
Unified Shaders 1152 2048
Texture Mapping Units 72 128
Render Output Units 48 32
Bus Type GDDR5 GDDR5
Bus Width 192-bit 256-bit
Fab Process 16 nm 28 nm
Transistors 4400 million (Unknown) million
Bus PCIe 3.0 x16 PCIe 3.0 x16
DirectX Version DirectX 12.0 DirectX 11.2
OpenGL Version OpenGL 4.5 OpenGL 4.3

Memory Bandwidth: Memory bandwidth is the max amount of data (counted in megabytes per second) that can be transferred past the external memory interface in a second. It's worked out by multiplying the card's bus width by its memory clock speed. If it uses DDR type memory, it should be multiplied by 2 again. If DDR5, multiply by ANOTHER 2x. The higher the bandwidth is, the faster the card will be in general. It especially helps with anti-aliasing, High Dynamic Range and high resolutions.

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

Pixel Rate: Pixel rate is the most pixels the graphics card can possibly write to the local memory in a second - measured in millions of pixels per second. The number is calculated by multiplying the number of Raster Operations Pipelines by the clock speed of the card. ROPs (Raster Operations Pipelines - sometimes also referred to as Render Output Units) are responsible for outputting the pixels (image) to the screen. The actual pixel rate also depends on quite a few other factors, most notably the memory bandwidth of the card - the lower the bandwidth is, the lower the ability to get to the maximum fill rate.

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