Snapdragon 888 vs Tensor G2

We compared two 8-core processors: Qualcomm Snapdragon 888 (with Adreno 660 graphics) and Google Tensor G2 (Mali-G710 MP7). Here you will find the pros and cons of each chip, technical specs, and comprehensive tests in benchmarks, like AnTuTu and Geekbench.

Review

General comparison of performance, power consumption, and other indicators
CPU Performance
Single and multi-core processor tests
Gaming Performance
GPU performance in games and OpenCL/Vulkan
Battery life
Efficiency of battery consumption
NanoReview Score
Overall chip score

Key Differences

Main differences and advantages of each chip
Pros of Qualcomm Snapdragon 888
  • Performs 70% better in floating-point computations
Pros of Google Tensor G2
  • Shows better (up to 4%) AnTuTu 11 score – 1186K vs 1135K

Benchmarks

Performance tests in popular benchmarks

AnTuTu 11

The AnTuTu Benchmark measures CPU, GPU, RAM, and I/O performance in different scenarios
1135878
Tensor G2 +4%
1186373
CPU 406119 384056
GPU 233383 278383
Memory 188085 220709
UX 308291 303255
Total score 1135878 1186373
Samples [127 tests] [54 tests]

GeekBench 6

The GeekBench test shows raw single-threaded and multithreaded CPU performance
Single-Core Score
1500
1461
Multi-Core Score
Tensor G2 +9%
3867
Asset compression 156.9 MB/sec 149.9 MB/sec
HTML 5 Browser 86.4 pages/sec 99.9 pages/sec
PDF Renderer 104.6 Mpixels/sec 110.2 Mpixels/sec
Image detection 72.9 images/sec 74.2 images/sec
HDR 104.7 Mpixels/sec 105.5 Mpixels/sec
Background blur 12.1 images/sec 11.7 images/sec
Photo processing 26.5 images/sec 35.1 images/sec
Ray tracing 4.04 Mpixels/sec 4.26 Mpixels/sec
Samples 49 tests 26 tests
Compute Score (GPU)
Tensor G2 +5%
4715
Background blur 7.75 images/sec 6.68 images/sec
Face detection 3.37 images/sec 3.96 images/sec
Horizon detection 0.22 Gpixels/sec 0.22 Gpixels/sec
Edge detection 0.28 Gpixels/sec 0.35 Gpixels/sec
Gaussian blur 0.32 Gpixels/sec 0.2 Gpixels/sec
Feature matching 0.03 Gpixels/sec 0.06 Gpixels/sec
Stereo matching 13.1 Gpixels/sec 11.5 Gpixels/sec
Particle physics 851.2 FPS 972.6 FPS
API OpenCL Vulkan
Samples 19 tests 17 tests

3DMark

A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Steel Nomad Light
Tensor G2 +39%
702
Score 505 702
Stability 77% 78%
Graphics test 4 FPS 5 FPS
3DMark Wild Life Extreme
Tensor G2 +21%
1821
Score 1508 1821
Stability 91% 77%
Graphics test 9 FPS 10 FPS

PCMark 3.0

Benchmark for evaluating overall system performance in everyday workloads
PCMark 3.0
13229
10994
Web score 12232 7923
Video editing score 7638 6434
Data manipulation score 10494 11061
Photo editing score 29866 18842
Writing score 15219 15053
Phones tested 11 models 5 models

Gaming

Table of average FPS and graphics settings in mobile games
PUBG Mobile 83 FPS
[Ultra]
-
Call of Duty: Mobile 60 FPS
[Ultra]
-
Fortnite 26 FPS
[Ultra]
-
Shadowgun Legends 89 FPS
[Ultra]
-
World of Tanks Blitz 112 FPS
[Ultra]
-
Genshin Impact 58 FPS
[Ultra]
-
Mobile Legends: Bang Bang 60 FPS
[Ultra]
-
Device Asus Zenfone 8
1080 x 2400
-
We provide average results. FPS may differ, depending on game version, OS and other factors.

Recent User Tests

The latest benchmark tests that have been submitted by users
Qualcomm Snapdragon 888
DateBenchmarkResult
πŸ“˜ 2026-09-02 -> NotezitGeekBench CPU1412 / 3348
πŸ“˜ 2026-08-18 (Soul)AnTuTu1210861
πŸ“˜ 2026-08-14 (Marchi1962)GeekBench CPU1537 / 3989
πŸ“˜ 2026-08-14 (Marchi1962)AnTuTu1253342
πŸ“˜ 2026-08-08 -> AlicanTuTuAnTuTu1198886
Google Tensor G2
DateBenchmarkResult
πŸ“˜ 2026-09-09 -> Kimash333AnTuTu1253847
πŸ“˜ 2026-09-08 (Kimash333)AnTuTu1253847
πŸ“˜ 2026-09-02 -> nanamondAnTuTu1196742
πŸ“˜ 2026-08-06 -> shu-AnTuTu1126520
πŸ“˜ 2026-08-05 (shu-)AnTuTu1126520

Specifications

Full list of technical specifications of Snapdragon 888 and Tensor G2

CPU

Architecture 1x 2.84 GHz – Kryo 680 Prime (Cortex-X1)
3x 2.42 GHz – Kryo 680 Gold (Cortex-A78)
4x 1.8 GHz – Kryo 680 Silver (Cortex-A55)
2x 2.85 GHz – Cortex-X1
2x 2.35 GHz – Cortex-A78
4x 1.8 GHz – Cortex-A55
Cores 8 8
Frequency 2840 MHz 2850 MHz
Instruction set ARMv8.4-A ARMv8.4-A
L1 cache 512 KB -
L2 cache 1 MB -
L3 cache 4 MB 4 MB
Process 5 nanometers 5 nanometers
Transistor count 10.3 billion -
TDP (Sustained Power Limit) 8 W 7 W
Manufacturing Samsung Samsung

Graphics

GPU name Adreno 660 Mali-G710 MP7
Architecture Adreno 600 Valhall 3rd gen
GPU frequency 840 MHz 848 MHz
Pipelines 3 7
Shading units 256 64
Total shaders 768 448
FLOPS 1290.2 Gigaflops 759.8 Gigaflops
Vulkan version 1.1 1.3
OpenCL version 2.0 2.0
DirectX version 12.1 -

AI Accelerator

Neural processor (NPU) Hexagon 780 Next-gen Tensor Processing Unit

Memory

Memory type LPDDR5 LPDDR5
Memory frequency 3200 MHz 3200 MHz
Bus 4x 16 Bit 4x 16 Bit
Max bandwidth 51.2 Gb/s 51.2 Gb/s
Max size 24 GB 16 GB

Multimedia (ISP)

Storage type UFS 3.0, UFS 3.1 UFS 3.1
Max display resolution 3840 x 2160 3840 x 2160
Max camera resolution 1x 200MP, 2x 25MP 1x 200MP, 2x 32MP
Video capture 8K at 30FPS, 4K at 120FPS 4K at 60FPS
Video playback 8K at 30FPS 4K at 60FPS
Video codecs - H.264
- H.265
- VP8
- VP9
- H.264
- H.265
- AV1
- VP9
Audio codecs - AAC
- AIFF
- CAF
- MP3
- MP4
- WAV
- AAC
- AIFF
- CAF
- MP3
- MP4
- WAV

Connectivity

Modem X60 Exynos 5300g
4G support LTE Cat. 22 LTE Cat. 24
5G support Yes Yes
Download speed Up to 7500 Mbps Up to 7350 Mbps
Upload speed Up to 3000 Mbps Up to 3670 Mbps
Wi-Fi 6 6
Bluetooth 5.2 5.2
Navigation GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC GPS, GLONASS, Beidou, Galileo, QZSS, NAVIC

Info

Announced December 2020 October 2022
Class Flagship Flagship
Model number SM8350 GS201 (S5P9855)
Official page Qualcomm Snapdragon 888 official site -
Successor - Qualcomm Snapdragon 8 Elite Gen 5 - Google Tensor G5

Cast your vote

So, which SoC would you choose?
1397 (40.4%)
2065 (59.6%)
Total votes: 3462

Comments

Please give your opinion on the comparison of Tensor G2 and Snapdragon 888, or ask any questions
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Avatar
Testerfromthewest November 4, 2022 at 12:05 AM
It also really depends on what device and what skin you using. My xiaomi mi 11 sd888 has never reached those numbers on Geekbench, it's actually more Iine with the tensor results. Single core on stock Miui is around 850 and multicore similar to the tensor. It is worth mentioning that some phones that use the SD 888 and further SD chipset throttle like crazy dipping performance by tons. Even after using custom ROMs and kernels, the difference is non-existent. In terms of fluidity, the pixel is beyond. If we go back and look at the antutu benchmark the only win for sd888 was the GPU. In all other categories, the pixel won.
+37 Reply
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Sleepy May 13, 2023 at 02:29 AM
Setting thermal throttling aside, I believe these benchmarks should be conducted using one of the top-end gaming phone coolers. This would minimize throttling during these types of benchmarks, much like how it's done with desktop processors in test benches.
+2 Reply
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im Mr. Meeseeks, look at mee October 29, 2022 at 09:58 PM
if google makes their Tensor chips just a teeny bit faster and fixes the battery life, their sales will skyrocket, but unfortunately, that's not how google sees their marketing strategies. in their heads, it is "MaKe BaD FlagSHiP, MaKe GoOd BudGet, SeLL DoO-dOo ChIp!!1!"
+53 Reply
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Howard Eez October 11, 2022 at 10:33 PM
If Google pursues the iPhone route and focuses on optimization of its chip and design, Apple will finally fall.
+35 Reply
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Mr mee October 13, 2022 at 05:16 AM
Apple's chip isn't why it's #1, it's the software...
+55 Reply
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Genius December 4, 2022 at 08:14 AM
Mr mee, For your information Chip controls the software
+16 Reply
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Mexxi December 28, 2022 at 09:01 PM
Genius, It's exactly the other way around. You are welcome.
+15 Reply
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Randy chan March 5, 2023 at 10:50 PM
Actually, Google has already begun following Apple's route in becoming an in-house closed ecosystem which began with the Pixel 6 and now the pixel 7 and so far those 2 models pale in comparison to iphone 13 and iphone 14 and you can bet Apple's upcoming iphone 15 will also be way better than Google's upcoming Pixel 8. In response to Apple's failing, if anything it'll be Google falling because Apple iphone hardware-software optimization is tops in the phone world whereas Google Pixel 7 and 7 pro lack refinement and are far from perfect with bugs and flaws that need to be ironed out before it can even hope to compete with iPhones.
+13 Reply
Avatar
I am legend December 3, 2023 at 04:14 AM
Google is the most optimized Android device and Apple is leading on iOS. Slowly but surely, Google Pixel is getting on the right track. While iOS already had the hype, Google must step up its game to compete on par with iPhones.
+2 Reply
Avatar
Osman January 15, 2025 at 02:45 PM
It's not possible bro
0 Reply