Google Tensor G2 vs Apple A11 Bionic

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Google Tensor G2

The Google Tensor G2 operates with 8 cores and 8 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 A11 Bionic

The Apple A11 Bionic operates with 6 cores and 8 CPU threads. It run at 2.39 GHz base 1.19 GHz all cores while the TDP is set at 8 W.The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 1 memory channels to support LPDDR4X-4266 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, A11 Architecture is enhanced with 10 nm technology and supports None. The product was launched on Q3/2017

Google Tensor G2

Apple A11 Bionic

Google Tensor G2

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Apple A11 Bionic

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Compare Detail

2.85 GHz	Frequency	2.39 GHz
8	Cores	6
2.85 GHz	Turbo (1 Core)	2.39 GHz
1.80 GHz	Turbo (All Cores)	1.19 GHz
No	Hyperthreading	No
No	Overclocking	No
hybrid (Prime / big.LITTLE)	Core Architecture	hybrid (big.LITTLE)
ARM Mali-G710 MP7	GPU	Apple A11
No turbo	GPU (Turbo)	No turbo
4 nm	Technology	10 nm
No turbo	GPU (Turbo)	No turbo
	DirectX Version
1	Max. displays	1
LPDDR5-5500	Memory	LPDDR4X-4266
2	Memory channels	1
	Max memory
No	ECC	No
8.00 MB	L2 Cache	8.00 MB
4.00 MB	L3 Cache	--
	PCIe version
	PCIe lanes
4 nm	Technology	10 nm
N/A	Socket	N/A
10 W	TDP	8 W
None	Virtualization	None
Q4/2022	Release date	Q3/2017
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 G2 1,074 (48%)

Apple A11 Bionic 938 (42%)

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 G2 3,150 (6%)

Apple A11 Bionic 2,570 (5%)

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 G2 701 (3%)

Apple A11 Bionic 410 (2%)

AnTuTu 8 benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

Google Tensor G2 (0%)

Apple A11 Bionic 295,471 (41%)

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 G2		Apple A11 Bionic
10 W	Max TDP	8 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