Apple A16 Bionic vs Google Tensor G2

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Apple A16 Bionic

The Apple A16 Bionic operates with 6 cores and 6 CPU threads. It run at 3.46 GHz base 2.02 GHz all cores while the TDP is set at 8.5 W.The processor is attached to the N/A CPU socket. This version includes 24.00 MB of L3 cache on one chip, supports 1 memory channels to support LPDDR5-6400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, A16 Architecture is enhanced with 4 nm technology and supports None. The product was launched on Q3/2022

Google Tensor G2

The Google Tensor G2 operates with 8 cores and 6 CPU threads. It run at 2.85 GHz base 1.80 GHz all cores while the TDP is set at 10 W.The processor is attached to the N/A CPU socket. This version includes 4.00 MB of L3 cache on one chip, supports 2 memory channels to support LPDDR5-5500 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, G2 Architecture is enhanced with 4 nm technology and supports None. The product was launched on Q4/2022

Apple A16 Bionic

Google Tensor G2

Apple A16 Bionic

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Google Tensor G2

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Compare Detail

3.46 GHz	Frequency	2.85 GHz
6	Cores	8
3.46 GHz	Turbo (1 Core)	2.85 GHz
2.02 GHz	Turbo (All Cores)	1.80 GHz
No	Hyperthreading	No
No	Overclocking	No
hybrid (big.LITTLE)	Core Architecture	hybrid (Prime / big.LITTLE)
Apple A16 (5 GPU Cores)	GPU	ARM Mali-G710 MP7
No turbo	GPU (Turbo)	No turbo
4 nm	Technology	4 nm
No turbo	GPU (Turbo)	No turbo
	DirectX Version
3	Max. displays	1
LPDDR5-6400	Memory	LPDDR5-5500
1	Memory channels	2
	Max memory
No	ECC	No
20.00 MB	L2 Cache	8.00 MB
24.00 MB	L3 Cache	4.00 MB
	PCIe version
	PCIe lanes
4 nm	Technology	4 nm
N/A	Socket	N/A
8.5 W	TDP	10 W
None	Virtualization	None
Q3/2022	Release date	Q4/2022
Show more data		Show more data

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

Apple A16 Bionic 1,900 (84%)

Google Tensor G2 1,074 (48%)

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

Apple A16 Bionic 5,468 (11%)

Google Tensor G2 3,150 (6%)

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.

Apple A16 Bionic 2,001 (9%)

Google Tensor G2 701 (3%)

Electric Usage Estimate

Average hours of use per day

Average CPU Utilization (0-100%)

Power cost, dollar per kWh

Electric Usage Estimate

Average hours of use per day

Average CPU Utilization (0-100%)

Power cost, dollar per kWh

Apple A16 Bionic		Google Tensor G2
8.5 W	Max TDP	10 W
NA	Power consumption per day (kWh)	NA
NA	Running cost per day	NA
NA	Power consumption per year (kWh)	NA
NA	Running cost per year	NA