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Qualcomm Snapdragon 8 Gen 1 vs Google Tensor

Qualcomm Snapdragon 8 Gen 1

The Qualcomm Snapdragon 8 Gen 1 operates with 8 cores and 8 CPU threads. It run at 3.00 GHz base 1.80 GHz all cores while the TDP is set at .The processor is attached to the N/A CPU socket. This version includes 6.00 MB of L3 cache on one chip, supports 4 memory channels to support LPDDR5-6400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-X2 / -A710 / -A510 Architecture is enhanced with 4 nm technology and supports None. The product was launched on Q1/2022

Qualcomm Snapdragon 8 Gen 1

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


Compare Detail

3.00 GHz Frequency 1.80 GHz (2.80 GHz)
8 Cores 8
3.00 GHz Turbo (1 Core) 1.80 GHz (2.80 GHz)
1.80 GHz Turbo (All Cores) --
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
hybrid (Prime / big.LITTLE) Core Architecture hybrid (Prime / big.LITTLE)
Qualcomm Adreno 730 GPU ARM Mali-G78 MP20
No turbo GPU (Turbo) No turbo
4 nm Technology 5 nm
No turbo GPU (Turbo) No turbo
12.1 DirectX Version 12
0 Max. displays 1
LPDDR5-6400 Memory LPDDR5-5500
4 Memory channels 2
Max memory
uncheck No ECC No uncheck
2.00 MB L2 Cache 8.00 MB
6.00 MB L3 Cache --
PCIe version
PCIe lanes
4 nm Technology 5 nm
N/A Socket N/A
TDP 10 W
None Virtualization None
Q1/2022 Release date Q4/2021

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.

55% Complete
Google Tensor 1,049 (47%)
47% Complete

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.

8% Complete
Google Tensor 2,916 (6%)
6% Complete

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.

11% Complete
Google Tensor 1,944 (9%)
9% Complete

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.

0% Complete
Google Tensor 4,572 (66%)
66% Complete

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.

0% Complete
Google Tensor 12,597 (13%)
13% Complete
Electric Usage Estimate

Electric Usage Estimate

Electric Usage Estimate

Electric Usage Estimate

Qualcomm Snapdragon 8 Gen 1 Google Tensor
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

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