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GeForce GTX 960 vs Radeon R9 Nano

Intro

The GeForce GTX 960 features a clock speed of 1127 MHz and a GDDR5 memory frequency of 1750 MHz. It also features a 128-bit memory bus, and makes use of a 28 nm design. It is made up of 1024 SPUs, 64 Texture Address Units, and 32 Raster Operation Units.

Compare those specifications to the Radeon R9 Nano, which features core speeds of 1000 MHz on the GPU, and 500 MHz on the 4096 MB of HBM memory. It features 4096 SPUs along with 256 TAUs and 64 ROPs.

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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.

3DMark Fire Strike Graphics Score

Radeon R9 Nano 14918 points
GeForce GTX 960 7627 points
Difference: 7291 (96%)

Zcash Mining Hash Rate

Radeon R9 Nano 402 Sol/s
GeForce GTX 960 154 Sol/s
Difference: 248 (161%)

Ethereum Mining Hash Rate

Radeon R9 Nano 30 Mh/s
GeForce GTX 960 11 Mh/s
Difference: 19 (173%)

Power Usage and Theoretical Benchmarks

Power Consumption (Max TDP)

GeForce GTX 960 120 Watts
Radeon R9 Nano 175 Watts
Difference: 55 Watts (46%)

Memory Bandwidth

Theoretically speaking, the Radeon R9 Nano should perform a lot faster than the GeForce GTX 960 overall. (explain)

Radeon R9 Nano 512000 MB/sec
GeForce GTX 960 112000 MB/sec
Difference: 400000 (357%)

Texel Rate

The Radeon R9 Nano will be quite a bit (about 255%) more effective at anisotropic filtering than the GeForce GTX 960. (explain)

Radeon R9 Nano 256000 Mtexels/sec
GeForce GTX 960 72128 Mtexels/sec
Difference: 183872 (255%)

Pixel Rate

The Radeon R9 Nano should be much (about 77%) faster with regards to full screen anti-aliasing than the GeForce GTX 960, and also will be capable of handling higher resolutions while still performing well. (explain)

Radeon R9 Nano 64000 Mpixels/sec
GeForce GTX 960 36064 Mpixels/sec
Difference: 27936 (77%)

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 960

Amazon.com

Check prices at:

Radeon R9 Nano

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 960 Radeon R9 Nano
Manufacturer nVidia AMD
Year January 2015 September 2015
Code Name GM206 Fiji XT
Memory 2048 MB 4096 MB
Core Speed 1127 MHz 1000 MHz
Memory Speed 7000 MHz 500 MHz
Power (Max TDP) 120 watts 175 watts
Bandwidth 112000 MB/sec 512000 MB/sec
Texel Rate 72128 Mtexels/sec 256000 Mtexels/sec
Pixel Rate 36064 Mpixels/sec 64000 Mpixels/sec
Unified Shaders 1024 4096
Texture Mapping Units 64 256
Render Output Units 32 64
Bus Type GDDR5 HBM
Bus Width 128-bit 4096-bit
Fab Process 28 nm 28 nm
Transistors 2940 million 8900 million
Bus PCIe 3.0 x16 PCIe 3.0 x16
DirectX Version DirectX 12.0 DirectX 12.0
OpenGL Version OpenGL 4.5 OpenGL 4.5

Memory Bandwidth: Memory bandwidth is the maximum amount of data (counted in MB per second) that can be moved across the external memory interface in a second. It is calculated by multiplying the card's bus width by its memory clock speed. If it uses DDR memory, the result should be multiplied by 2 once again. If it uses DDR5, multiply by ANOTHER 2x. The better the memory bandwidth, the faster the card will be in general. It especially helps with AA, High Dynamic Range and higher screen resolutions.

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

Pixel Rate: Pixel rate is the most pixels the video 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 number of colour ROPs by the the card's clock speed. ROPs (Raster Operations Pipelines - sometimes also referred to as Render Output Units) are responsible for filling the screen with pixels (the image). The actual pixel fill rate also depends on quite a few other factors, especially the memory bandwidth of the card - the lower the memory bandwidth is, the lower the potential to get to the max fill rate.

Display Prices

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GeForce GTX 960

Amazon.com

Check prices at:

Radeon R9 Nano

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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