Snapdragon 870 vs Google Tensor

We compared two 8-core processors: Qualcomm Snapdragon 870 (with Adreno 650 graphics) and Google Tensor (Mali-G78 MP20). 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 870
  • 14% higher CPU clock speed (3200 vs 2800 MHz)
Pros of Google Tensor
  • Has a smaller size transistor (5 versus 7 nm)
  • Higher GPU frequency (~27%)
  • Supports 16% higher memory bandwidth (51.2 against 44 GB/s)

Benchmarks

Performance tests in popular benchmarks

AnTuTu 11

The AnTuTu Benchmark measures CPU, GPU, RAM, and I/O performance in different scenarios
1010069
1010025
CPU 378231 365546
GPU 155526 169803
Memory 174975 178763
UX 301337 295913
Total score 1010069 1010025
Samples [102 tests] [51 tests]

GeekBench 6

The GeekBench test shows raw single-threaded and multithreaded CPU performance
Single-Core Score
1477
Multi-Core Score
Asset compression 160.2 MB/sec 159.8 MB/sec
HTML 5 Browser 86.7 pages/sec 97.5 pages/sec
PDF Renderer 116.8 Mpixels/sec 138.9 Mpixels/sec
Image detection 80 images/sec 83.4 images/sec
HDR 108 Mpixels/sec 119.7 Mpixels/sec
Background blur 12 images/sec 14.1 images/sec
Photo processing 33.5 images/sec 30.2 images/sec
Ray tracing 4.41 Mpixels/sec 3.44 Mpixels/sec
Samples 34 tests 26 tests
Compute Score (GPU)
8918
Background blur 5.01 images/sec 13.2 images/sec
Face detection 2.04 images/sec 7.31 images/sec
Horizon detection 0.19 Gpixels/sec 0.34 Gpixels/sec
Edge detection 0.26 Gpixels/sec 0.5 Gpixels/sec
Gaussian blur 0.21 Gpixels/sec 0.55 Gpixels/sec
Feature matching 0.03 Gpixels/sec 0.09 Gpixels/sec
Stereo matching 10.3 Gpixels/sec 39.4 Gpixels/sec
Particle physics 650.5 FPS 1368.9 FPS
API OpenCL Vulkan
Samples 18 tests 11 tests

3DMark

A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Steel Nomad Light
Score - 704
Stability - 63%
Graphics test - 5 FPS
3DMark Wild Life Extreme
1899
Score 1224 1899
Stability 99% 59%
Graphics test 7 FPS 11 FPS

PCMark 3.0

Benchmark for evaluating overall system performance in everyday workloads
PCMark 3.0
12227
Web score 11701 7105
Video editing score 5825 5884
Data manipulation score 9987 10310
Photo editing score 28690 19072
Writing score 15274 15550
Phones tested 2 models 3 models

Gaming

Table of average FPS and graphics settings in mobile games
PUBG Mobile 88 FPS
[Ultra]
-
Call of Duty: Mobile 59 FPS
[Ultra]
-
Fortnite 27 FPS
[Ultra]
-
Shadowgun Legends 102 FPS
[Ultra]
-
World of Tanks Blitz 107 FPS
[Ultra]
-
Genshin Impact 49 FPS
[Ultra]
-
Mobile Legends: Bang Bang 60 FPS
[Ultra]
-
Device Xiaomi Black Shark 4
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 870
DateBenchmarkResult
πŸ“˜ 2026-09-28 (Shiro1577)AnTuTu 121179210
πŸ“˜ 2026-09-27 (sayato)AnTuTu 121239133
πŸ“˜ 2026-09-23 -> AzuNoBelAnTuTu 121251812
πŸ“˜ 2026-09-23 (Ambarukmo_id)AnTuTu 121182612
πŸ“˜ 2026-09-21 -> sbx.777AnTuTu 121143560
Google Tensor
DateBenchmarkResult
πŸ“˜ 2026-09-29 (rulz_103)AnTuTu 121225085
πŸ“˜ 2026-09-26 -> Islom_1180AnTuTu 121235821
πŸ“˜ 2026-09-13 (Vladi♂️Slave♂️)AnTuTu 121281085
πŸ“˜ 2026-08-19 (duwi)AnTuTu 11774697
πŸ“˜ 2026-08-17 -> Paranoid _AntostAnTuTu 11930801

Specifications

Full list of technical specifications of Snapdragon 870 and Google Tensor

CPU

Architecture 1x 3.2 GHz – Kryo 585 Prime (Cortex-A77)
3x 2.42 GHz – Kryo 585 Gold (Cortex-A77)
4x 1.8 GHz – Kryo 585 Silver (Cortex-A55)
2x 2.8 GHz – Cortex-X1
2x 2.25 GHz – Cortex A76
4x 1.8 GHz – Cortex A55
Cores 8 8
Frequency 3200 MHz 2800 MHz
Instruction set ARMv8.2-A ARMv8.2-A
L1 cache 512 KB -
L2 cache 1 MB 3 MB
L3 cache 4 MB 4 MB
Process 7 nanometers 5 nanometers
Transistor count 10.3 billion -
TDP (Sustained Power Limit) 6 W 5.6 W
Manufacturing TSMC Samsung

Graphics

GPU name Adreno 650 Mali-G78 MP20
Architecture Adreno 600 Valhall 2nd gen
GPU frequency 670 MHz 850 MHz
Pipelines 3 20
Shading units 256 32
Total shaders 768 640
FLOPS 1029.1 Gigaflops 1085.4 Gigaflops
Vulkan version 1.1 1.3
OpenCL version 2.0 2.0
DirectX version 12.1 -

AI Accelerator

Neural processor (NPU) Hexagon 698 Tensor Processing Unit

Memory

Memory type LPDDR5 LPDDR5
Memory frequency 2750 MHz 3200 MHz
Bus 4x 16 Bit 4x 16 Bit
Max bandwidth 44 Gb/s 51.2 Gb/s
Max size 16 GB 12 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 60FPS 4K at 60FPS
Video playback 8K at 30FPS, 4K at 60FPS 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 X55 Exynos 5300b
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

Info

Announced January 2021 October 2021
Class Flagship Flagship
Model number SM8250-AC GS101 (S5P9845)
Official page Qualcomm Snapdragon 870 official site Google Tensor official site
Successor - - Google Tensor G5

Cast your vote

So, which SoC would you choose?
866 (35.6%)
1569 (64.4%)
Total votes: 2435

Comments

Please give your opinion on the comparison of Google Tensor and Snapdragon 870, or ask any questions
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Bai May 19, 2025 at 03:22 AM
Google Tensor uses Samsung's 5nm process, which generates a lot of heat
0 Reply
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Star boy April 18, 2025 at 06:26 PM
Google tensor seems to be good in performing games
0 Reply