Apple A15 Bionic GPU 5-Core vs AMD Radeon R9 Nano

Comparison of the technical characteristics between the graphics cards, with Apple A15 Bionic GPU 5-Core on one side and AMD Radeon R9 Nano on the other side. The first is dedicated to the smartphone sector, with 160 execution units, it has 1280 shading units, a maximum frequency of 1.2 GHz, its lithography is 5 nm FinFET. The second is used on the desktop segment, it includes 4096 shading units, a maximum frequency of 1.0 GHz, its lithography is 28 nm. The following table also compares the boost clock, the number of shading units (if indicated), of execution units, the amount of cache memory, the maximum memory capacity, the memory bus width, the release date, the number of PCIe lanes, the values ​​obtained in various benchmarks.

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Specification comparison:

Graphics card		Apple A15 Bionic GPU 5-Core				AMD Radeon R9 Nano
Market (main)		Smartphone				Desktop
Release date		Q3 2021				Q3 2015
Model number		-				215-0862120, Fiji XT CA
GPU name		Apple Custom GPU				Fiji
Architecture		-				GCN 3.0
Generation		-				Pirate Islands R9 300
Lithography		5 nm FinFET				28 nm
Transistors		15,000,000,000				8,900,000,000
Bus interface		IGP				PCIe 3.0 x16
GPU base clock		1,200 MHz				1,000 MHz
GPU boost clock		1,200 MHz				1,000 MHz
TDP		-				175 W
Cores (compute units, SM, SMX)		5				64
Execution units		160				-
Shading units		1,280				4,096
TMUs		-				256
ROPs		-				64
Cache memory		-				2 MB
Performance FP32 (float)		1.5 TFLOPS				8.2 TFLOPS
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We can better compare what are the technical differences between the two graphics cards.

Performance comparison with the benchmarks:

Performance comparison between the two processors, for this we consider the results generated on benchmark software such as Geekbench 4.

	FP32 Performance in GFLOPS
AMD Radeon R9 Nano	8,192
Apple A15 Bionic GPU 5-Core	1,500

The difference is 446%.

Note: Commissions may be earned from the links above. These scores are only an
average of the performances got with these graphics cards, you may get different results.

Single precision floating point format, also known as 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.

Smartphones with the graphics card Apple A15 Bionic GPU 5-Core:

Apple iPhone 13 ProApple iPhone 13 Pro MaxApple iPhone 14Apple iPhone 14 Plus

Processors with the graphics card Apple A15 Bionic GPU 5-Core:

Apple A15 Bionic

Equivalence:

Apple A15 Bionic GPU 5-Core Nvidia equivalentApple A15 Bionic GPU 5-Core AMD equivalentAMD Radeon R9 Nano Nvidia equivalent

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