Snapdragon 8 Gen 2 vs Tensor G2

We compared two 8-core processors: Qualcomm Snapdragon 8 Gen 2 (with Adreno 740 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 8 Gen 2
  • Performs 2.7x better in floating-point computations
  • Has 4 MB larger L3 cache size than the Tensor G2
  • Shows significantly better (up to 48%) AnTuTu 11 score – 1757K vs 1186K
  • Has a smaller size transistor (4 versus 5 nm)
  • Supports 31% higher memory bandwidth (67.2 against 51.2 GB/s)
  • 12% higher CPU clock speed (3200 vs 2850 MHz)
  • Better instruction set architecture
Pros of Google Tensor G2
  • Higher GPU frequency (~25%)

Benchmarks

Performance tests in popular benchmarks

AnTuTu 11

The AnTuTu Benchmark measures CPU, GPU, RAM, and I/O performance in different scenarios
1757044
1186373
CPU 553922 384056
GPU 434880 278383
Memory 311861 220709
UX 456381 303255
Total score 1757044 1186373
Samples [238 tests] [54 tests]

GeekBench 6

The GeekBench test shows raw single-threaded and multithreaded CPU performance
Single-Core Score
2004
1461
Multi-Core Score
5311
3867
Asset compression 218.9 MB/sec 149.9 MB/sec
HTML 5 Browser 145.2 pages/sec 99.9 pages/sec
PDF Renderer 168.3 Mpixels/sec 110.2 Mpixels/sec
Image detection 133 images/sec 74.2 images/sec
HDR 167.2 Mpixels/sec 105.5 Mpixels/sec
Background blur 18.8 images/sec 11.7 images/sec
Photo processing 34.5 images/sec 35.1 images/sec
Ray tracing 5.78 Mpixels/sec 4.26 Mpixels/sec
Samples 132 tests 26 tests
Compute Score (GPU)
9254
4715
Background blur 12.3 images/sec 6.68 images/sec
Face detection 5.1 images/sec 3.96 images/sec
Horizon detection 0.53 Gpixels/sec 0.22 Gpixels/sec
Edge detection 0.56 Gpixels/sec 0.35 Gpixels/sec
Gaussian blur 0.36 Gpixels/sec 0.2 Gpixels/sec
Feature matching 0.12 Gpixels/sec 0.06 Gpixels/sec
Stereo matching 32.6 Gpixels/sec 11.5 Gpixels/sec
Particle physics 2177.4 FPS 972.6 FPS
API OpenCL Vulkan
Samples 66 tests 17 tests

3DMark

A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Steel Nomad Light
Score 1092 702
Stability 67% 78%
Graphics test 8 FPS 5 FPS
3DMark Solar Bay
Score 5312 -
Stability 67% -
Graphics test 20 FPS -
Section 1 23 FPS -
Section 2 20 FPS -
Section 3 17 FPS -
3DMark Wild Life Extreme
3667
1821
Score 3667 1821
Stability 45% 77%
Graphics test 21 FPS 10 FPS

PCMark 3.0

Benchmark for evaluating overall system performance in everyday workloads
PCMark 3.0
15557
10994
Web score 13957 7923
Video editing score 7265 6434
Data manipulation score 14272 11061
Photo editing score 32179 18842
Writing score 17828 15053
Phones tested 9 models 5 models

Gaming

Table of average FPS and graphics settings in mobile games
PUBG Mobile 90 FPS
[Ultra]
-
Call of Duty: Mobile 60 FPS
[Ultra]
-
Fortnite 56 FPS
[Ultra]
-
Shadowgun Legends 118 FPS
[Ultra]
-
World of Tanks Blitz 120 FPS
[Ultra]
-
Genshin Impact 59 FPS
[Ultra]
-
Mobile Legends: Bang Bang 59 FPS
[Ultra]
-
Device ZTE Nubia Red Magic 8 Pro
1116 x 2480
-
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 8 Gen 2
DateBenchmarkResult
πŸ“˜ 2026-09-28 -> Saad_irqAnTuTu 121959121
πŸ“˜ 2026-09-27 -> sento raitoAnTuTu 122035354
πŸ“˜ 2026-09-27 (bySK1LL)AnTuTu 121974839
πŸ“˜ 2026-09-27 (Babababi)AnTuTu 121953931
πŸ“˜ 2026-09-27 -> RennsportCPU Throttle80%
Google Tensor G2
DateBenchmarkResult
πŸ“˜ 2026-09-28 -> putkin_prosrochka59AnTuTu 121477460
πŸ“˜ 2026-09-09 -> Kimash333AnTuTu 111253847
πŸ“˜ 2026-09-08 (Kimash333)AnTuTu 111253847
πŸ“˜ 2026-09-02 -> nanamondAnTuTu 111196742
πŸ“˜ 2026-08-06 -> shu-AnTuTu 111126520

Specifications

Full list of technical specifications of Snapdragon 8 Gen 2 and Tensor G2

CPU

Architecture 1x 3.2 GHz – Cortex-X3
2x 2.8 GHz – Cortex-A715
2x 2.8 GHz – Cortex-A710
3x 2 GHz – Cortex-A510
2x 2.85 GHz – Cortex-X1
2x 2.35 GHz – Cortex-A78
4x 1.8 GHz – Cortex-A55
Cores 8 8
Frequency 3200 MHz 2850 MHz
Instruction set ARMv9-A ARMv8.4-A
L2 cache 1 MB -
L3 cache 8 MB 4 MB
Process 4 nanometers 5 nanometers
Transistor count 16 billion -
TDP (Sustained Power Limit) 8.5 W 7 W
Manufacturing TSMC Samsung

Graphics

GPU name Adreno 740 Mali-G710 MP7
Architecture Adreno 700 Valhall 3rd gen
GPU frequency 680 MHz 848 MHz
Pipelines 3 7
Shading units 512 64
Total shaders 1536 448
FLOPS 2089 Gigaflops 759.8 Gigaflops
Vulkan version 1.3 1.3
OpenCL version 2.0 2.0
DirectX version 12.1 -

AI Accelerator

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

Memory

Memory type LPDDR5X LPDDR5
Memory frequency 4200 MHz 3200 MHz
Bus 4x 16 Bit 4x 16 Bit
Max bandwidth 67.2 Gb/s 51.2 Gb/s
Max size 24 GB 16 GB

Multimedia (ISP)

Storage type UFS 3.1, UFS 4.0 UFS 3.1
Max display resolution 3840 x 2160 3840 x 2160
Max camera resolution 1x 200MP 1x 200MP, 2x 32MP
Video capture 8K at 30FPS, 4K at 120FPS 4K at 60FPS
Video playback 8K at 60FPS, 4K at 120FPS 4K at 60FPS
Video codecs - H.264
- H.265
- AV1
- VP8
- VP9
- H.264
- H.265
- AV1
- VP9
Audio codecs - AAC
- AIFF
- CAF
- MP3
- MP4
- WAV
- AAC
- AIFF
- CAF
- MP3
- MP4
- WAV

Connectivity

Modem Snapdragon X70 Exynos 5300g
4G support LTE Cat. 24 LTE Cat. 24
5G support Yes Yes
Download speed Up to 10000 Mbps Up to 7350 Mbps
Upload speed Up to 3500 Mbps Up to 3670 Mbps
Wi-Fi 7 6
Bluetooth 5.3 5.2
Navigation GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC GPS, GLONASS, Beidou, Galileo, QZSS, NAVIC

Info

Announced November 2022 October 2022
Class Flagship Flagship
Model number SM8550-AB GS201 (S5P9855)
Official page Qualcomm Snapdragon 8 Gen 2 official site -
Successor - Qualcomm Snapdragon 8 Elite Gen 5 - Google Tensor G5
Further details
Notes on Snapdragon 8 Gen 2:
    - There's also the "Snapdragon 8 Gen 2 for Galaxy," which only differs by having a 160 MHz higher CPU clock and a 39 MHz higher GPU clock, resulting in 2208.8 GFLOPS for the GPU. Generally, you won't notice this difference in real-life usage, including games.

Cast your vote

So, which SoC would you choose?
1328 (81.8%)
296 (18.2%)
Total votes: 1624

Comments

Please give your opinion on the comparison of Tensor G2 and Snapdragon 8 Gen 2, or ask any questions
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Randy Chan July 3, 2023 at 12:16 AM
The battle between Google's custom chip tensor 2 is a bust compared to Qualcomm's far superior snapdragon 8 gen 2 which is why pixels 7, 7 pro, fold, and tablet all have lackluster performance as benchmark stats have shown when compared to 8 gen 2 mobile devices. Google ditching Qualcomm after their last Qualcomm-powered smartphone (pixel 5) is the worse thing Google could have done, thus Google's downward spiral began with the pixel 6 and pixel 6 pro in 2021. With that said, my pixel 5 has become my antique even if I don't use it as much as my 8 gen 2 powered devices.
+11 Reply
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John Francis June 20, 2023 at 09:03 AM
I had the Google pixel 6 pro and had a lot of connectivity problems. Recently bought the one plus 11 with the Snapdragon 8 gen 2 chip inside. What a difference. My one plus runs flawlessly, is lightning quick and is far superior IMHO. I've given my pixel 6 pro to my partner and always carry my one plus. I was tempted by the new pixel tablet, but it only has the tensor 2 inside. Again, imho the tablet isn't worth the money. I will look for one with the Snapdragon 8 gen 2 set. I expect that to be much quicker and more efficient.
+5 Reply
Avatar
Lets Be Honest June 5, 2023 at 12:05 PM
To be honest, Qualcomm Snapdragon, MediaTek Dimensity, and Apple A series are the only leading processors in the market. Google Tensor chipsets are all garbage, and even if they collaborate with AMD or NVIDIA, if they don't switch their nodes and fabrication process to TSMC, they will still be trash. For me, the current best high-end smartphone chipset in 2023, when it comes to raw performance and efficiency, is the Qualcomm Snapdragon 8 Gen 2. The Apple A16 Bionic is just a small upgrade in terms of RAM and CPU itself; the GPU is the same as in the previous A15, nothing special. MediaTek Dimensity 9200 is a good processor, but the GPU is not that competitive - I hope they collaborate with NVIDIA. In the mid-range category, the best of the best is the Qualcomm Snapdragon 7+ Gen 2, which is like an underdog version of the Snapdragon 8+ Gen 1.
+16 Reply
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Ian July 3, 2023 at 03:50 PM
Yes, but you also pay for that raw performance in battery drain. It's a balancing act, raw power or stamina.
+4 Reply
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Seb fan May 3, 2023 at 03:33 AM
The 8 gen 2 is miles better but i use the tensor g2 in my pixel 7 pro and apart from a tiny bit of heating while pushing it to the limit while navigating and doing a video call alongside scrolling Instagram for an hour on data, it never breaks a sweat, is plenty powerful and efficient and is good enough for 90% of people. So even though I'd love to have a snapdragon 8 gen2 in my pixel, how well the tensor g2 is integrated in the phone makes me forget about everything. I am coming from a poorly optimized sd 870 on my realme gt Neo 2 which felt extremely sluggish and laggy.
+21 Reply
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Eric Sandberg March 8, 2023 at 03:46 AM
... or, we could just buy a phone with the Qualcomm Snapdragon 8 gen 2 chip now :-)
+19 Reply
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Randy chan March 5, 2023 at 06:29 PM
This one-sided contest in favor of Qualcomm snapdragon 8 gen 2 chip is no surprise since its opponent the Google tensor G2 chip is an in-house manufactured newbie thus having flaws and bugs and needing more time before it's refined and perfected. With time though, Google's tensor chips should get better. So in the meantime, we'll just have to wait.
+6 Reply
Avatar
Ooga booga April 29, 2023 at 07:28 PM
It's not an in-house chip because it's an Exynos 2200 with a Mali GPU instead of AMD and a Google ML chip. The design is already subpar, and we must remember that it's made in Samsung's foundry, which isn't great.
+29 Reply