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Google Tensor vs Apple A15 Bionic

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Google Tensor

The Google Tensor operates with 8 cores and 8 CPU threads. It run at 1.80 GHz (2.80 GHz) base -- all cores while the TDP is set at 10 W.The processor is attached to the N/A CPU socket. This version includes -- 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, G1 Architecture is enhanced with 5 nm technology and supports None. The product was launched on Q4/2021

Apple A15 Bionic

The Apple A15 Bionic operates with 6 cores and 8 CPU threads. It run at No turbo base No turbo all cores while the TDP is set at 8.5 W.The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support LPDDR4X-4266 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, A15 Architecture is enhanced with 5 nm technology and supports None. The product was launched on Q3/2021

Google Tensor

Apple A15 Bionic

Google Tensor

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Apple A15 Bionic

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Compare Detail

1.80 GHz (2.80 GHz)	Frequency	3.23 GHz
8	Cores	6
1.80 GHz (2.80 GHz)	Turbo (1 Core)	No turbo
--	Turbo (All Cores)	No turbo
No	Hyperthreading	No
No	Overclocking	No
hybrid (Prime / big.LITTLE)	Core Architecture	hybrid (big.LITTLE)
ARM Mali-G78 MP20	GPU	Apple A15 (5 GPU Cores)
No turbo	GPU (Turbo)	3.20 GHz
5 nm	Technology	5 nm
No turbo	GPU (Turbo)	3.20 GHz
12	DirectX Version
1	Max. displays	3
LPDDR5-5500	Memory	LPDDR4X-4266
2	Memory channels	2
	Max memory
No	ECC	No
8.00 MB	L2 Cache	4.00 MB
--	L3 Cache	--
	PCIe version
	PCIe lanes
5 nm	Technology	5 nm
N/A	Socket	N/A
10 W	TDP	8.5 W
None	Virtualization	None
Q4/2021	Release date	Q3/2021
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.

Google Tensor 1,049 (47%)

Apple A15 Bionic 1,742 (82%)

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.

Google Tensor 2,916 (6%)

Apple A15 Bionic 4,780 (13%)

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.

Google Tensor 1,944 (9%)

Apple A15 Bionic 1,227 (12%)

Geekbench 3, 64bit (Single-Core)

Geekbench 3 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.

Google Tensor 4,572 (66%)

Apple A15 Bionic (0%)

Geekbench 3, 64bit (Multi-Core)

Geekbench 3 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.

Google Tensor 12,597 (13%)

Apple A15 Bionic (0%)

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

Google Tensor		Apple A15 Bionic
10 W	Max TDP	8.5 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