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Google Tensor G5 vs Apple A18: Benchmarks and Specs

Apple's A18 trounces Google's Tensor G5 in both CPU and GPU performance

Arjun Sha profile picture
by Arjun Sha
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tensor g5 vs apple a18 benchmarks

Image Credit: Mohit Singh / Beebom Gadgets

Summary

  • In the AnTuTu benchmark, the Tensor G5 scored 1,291,252 points while Apple's A18 chip got 1,790,331 points.
  • On Geekbench's single-core CPU test, the Tensor G5 achieved 2,285 whereas the A18 scored a massive 3,254 points.
  • The A18 is about 55% faster than the Tensor G5 in both CPU and GPU performance.

Notes

We benchmarked the Tensor G5 on the Pixel 10 Pro, and the A18 on the iPhone 16.

Google directly competes with Apple's iPhone with its Pixel series, and this year's Pixel 10 lineup is powered by the new Tensor G5 chipset. While in terms of software features, Google may have an upper hand, but can it surpass Apple's A18 silicon? In that context, we have compared the Tensor G5 and Apple A18 to find out which processor delivers stronger performance in CPU and GPU departments. Here are the benchmark results.

Tensor G5 vs Apple A18: AnTuTu Score

AnTuTu Benchmark
Tensor G5
Apple A18
AnTuTu Score
1,291,252
1,790,331
CPU
457,073
716,493
GPU
382,578
596,039
Memory
242,613
121,645
UX
208,988
356,154

In the AnTuTu benchmark that we conducted, the Pixel 10 Pro powered by the Tensor G5 scored 1,291,252 points while the Apple A18 delivered 38% faster performance, achieving 1,790,331 points. In the CPU department, Apple's 6-core CPU performed 56% faster and the 5-core GPU delivered 55% faster graphics performance. In the AnTuTu benchmark, the performance gap is evident between the Tensor G5 and A18. 

Tensor G5 vs Apple A18: Geekbench Score

Geekbench 6 CPU
Tensor G5
Apple A18
Single-core
2,285
3,254
Multi-core
6,191
8,070

Next, in the Geekbench 6 CPU test, the Tensor G5 processor scored 2,285 in the single-core test and 6,191 in the multi-core test. If we compare Apple's A18 chipset, it achieved an incredible 3,254 in single-core and 8,070 in multi-core. It's clear that Apple's custom CPU is far ahead than what Google has managed to develop with Arm Cortex CPU.

In effect, the Apple A18 chipset is around 43% faster than the Tensor G5 in single-core tasks, while gaining over 30% performance gain in multi-core tasks. And this is despite Apple packing only six CPU cores, whereas Google has added eight CPU cores on the Tensor G5. Put simply, the Apple A18 is operating on another level, whereas the Tensor G5 is nowhere near the same ballpark.

Tensor G5 vs Apple A18: Benchmark Gallery

geekbench comparison between tensor g5 vs apple a18
geekbench comparison between tensor g5 vs apple a18
antutu comparison between tensor g5 vs apple a18
antutu comparison between tensor g5 vs apple a18

Tensor G5 vs Apple A18: Specs Comparison

Specs
Tensor G5
Apple A18
Process Node
TSMC’s 3nm (N3E)
TSMC’s 3nm (N3E)
CPU
8-core Arm Cortex CPU
6-core Apple CPU
CPU Cores
1x Cortex-X4 (3.78GHz), 5x Cortex-A725 (3.05GHz), 2x Cortex-A520 (2.25GHz)
2x 4.05GHz Performance cores, 4x 2.42GHz Efficiency cores
GPU
Imagination Technologies DXT-48-1536 GPU, No Ray Tracing
Apple 5-core GPU
Storage and Memory
Zoned UFS 4.0 (512GB and above) and LPDDR5X
LPDDR5X, up to 7500 MT/s
NPU
New Google Edge TPU
16-core Neural Engine; 35 TOPS
Modem
Samsung Exynos 5400 5G modem, Sub-6GHz 5G band support (India)
Snapdragon X75 5G modem, Peak Download Speed 10Gbps, Peak Upload Speed 3.5 Gbps
Connectivity
Wi-Fi 6E, Wi-Fi 7, and Bluetooth 6.0
Wi-Fi 7, Bluetooth 5.3

Verdict

As far as the CPU performance is concerned, the Apple A18 processor redefines what is possible on a mobile SoC. The Tensor G5 CPU, while delivering decent performance thanks to TSMC's 3nm process node, is at least two generations behind. The AnTuTu results further showcase a much wider gap between the two chipsets. And let's not forget, we are talking about last year's non-Pro A18 processor. The next-gen Apple A19 will easily trounce the Tensor G5 without any doubt.

Arjun Sha profile picture
Arjun Sha

Senior Guides Writer

Arjun has been covering Windows, AI, chipsets, and online privacy at Beebom for six years. He simplifies complex technological concepts for a wider audience and tries to solve everyday computing problems. While he's not writing, you will find him on Twitter following the latest developments in AI.

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