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Google Tensor vs Google Tensor G2

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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

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

Google Tensor

Google Tensor G2

Google Tensor

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Google Tensor G2

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Compare Detail

1.80 GHz (2.80 GHz)	Frequency	2.85 GHz
8	Cores	8
1.80 GHz (2.80 GHz)	Turbo (1 Core)	2.85 GHz
--	Turbo (All Cores)	1.80 GHz
No	Hyperthreading	No
No	Overclocking	No
hybrid (Prime / big.LITTLE)	Core Architecture	hybrid (Prime / big.LITTLE)
ARM Mali-G78 MP20	GPU	ARM Mali-G710 MP7
No turbo	GPU (Turbo)	No turbo
5 nm	Technology	4 nm
No turbo	GPU (Turbo)	No turbo
12	DirectX Version
1	Max. displays	1
LPDDR5-5500	Memory	LPDDR5-5500
2	Memory channels	2
	Max memory
No	ECC	No
8.00 MB	L2 Cache	8.00 MB
--	L3 Cache	4.00 MB
	PCIe version
	PCIe lanes
5 nm	Technology	4 nm
N/A	Socket	N/A
10 W	TDP	10 W
None	Virtualization	None
Q4/2021	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.

Google Tensor 1,049 (47%)

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.

Google Tensor 2,916 (6%)

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.

Google Tensor 1,944 (9%)

Google Tensor G2 701 (3%)

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%)

Google Tensor G2 (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%)

Google Tensor G2 (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		Google Tensor G2
10 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