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Google Tensor

From Wikipedia, the free encyclopedia
Series of system-on-chip processors
This article is about the system-on-chip; it is not to be confused withTensor Processing Unit,TensorFlow, orTenor (website).

Google Tensor
Illustration of a blue system-on-chip adorned with the Google favicon
Illustration of the first-generation Tensor chip
LaunchedOctober 5, 2021; 4 years ago (2021-10-05)
Designed byGoogle
Common manufacturer
GPUsMali,PowerVR
Co-processorTitan
ApplicationPixel

Google Tensor is a series ofARM64-basedsystem-on-chip (SoC) processors designed byGoogle for itsPixel devices. It was originally conceptualized in 2016, following the introduction ofthe first Pixel smartphone, though actual developmental work did not enter full swing until 2020. The first-generation Tensor chip debuted on thePixel 6 smartphone series in 2021, and was succeeded by the Tensor G2 chip in 2022, G3 in 2023, G4 in 2024 and G5 in 2025. Tensor has been generally well received by critics.

Development

[edit]

Background

[edit]

Development on aGoogle-designedsystem-on-chip (SoC) first began in April 2016, after the introduction of the company'sfirst Pixel smartphone, although Google CEOSundar Pichai and hardware chiefRick Osterloh agreed it would likely take an extended period of time before the product was ready.[1] The next year,the company's hardware division assembled a team of 76semiconductor researchers specializing inartificial intelligence (AI) andmachine learning (ML), which has since increased in size, to work on the chip.[2] Beginning in 2017, Google began to include custom-designedco-processors in itsPixel smartphones, namely thePixel Visual Core on thePixel 2 andPixel 3 series and thePixel Neural Core on thePixel 4 series.[3][4]

By April 2020, the company had made "significant progress" toward a customARM-based processor for its Pixel andChromebook devices, codenamed "Whitechapel".[5] At Google parent companyAlphabet Inc.'s quarterly earningsinvestor call that October, Pichai expressed excitement at the company's "deeper investments" in hardware, which some interpreted as an allusion to Whitechapel.[6] The Neural Core was not included on thePixel 5, which was released in 2020; Google explained that the phone'sSnapdragon 765G SoC already achieved the camera performance the company had been aiming for.[7] In April 2021,9to5Google reported that Whitechapel would power Google's next Pixel smartphones.[8] Google was also in talks to acquire Nuvia prior to its acquisition by Qualcomm in 2021.[9]

Google officially unveiled the chip, named Tensor, in August, as part of a preview of itsPixel 6 andPixel 6 Pro smartphones.[10][11] Previous Pixel smartphones had usedQualcomm Snapdragon chips,[12] with 2021'sPixel 5a being the final Pixel phone to do so.[13] Pichai later obliquely noted that the development of Tensor and the Pixel 6 resulted in more off-the-shelf solutions for Pixel phones released in 2020 and early 2021.[1] In September 2022,The Verge reported that a Tensor-powered successor to thePixelbook laptop with a planned 2023 release had been canceled due to cost-cutting measures.[14]

Design

[edit]

"Tensor" is a reference to Google'sTensorFlow andTensor Processing Unit technologies, and the chip is developed by the Google Silicon team housed withinthe company's hardware division, led by vice president andgeneral manager Phil Carmack alongside senior director Monika Gupta,[15] in conjunction with the Google Research division.[2]

Tensor'smicroarchitecture consists of two large cores, two medium cores, and four small cores; this arrangement is unusual forocta-core SoCs, which typically only have one large core. Carmack explained that this was so Tensor could remain efficient at intense workloads by running both large cores simultaneously at a low frequency to manage the various co-processors.[15] Osterloh has stated that Tensor's performance is difficult to quantify using syntheticbenchmarks, but should instead be characterized by the many ML capabilities it enables, such as advancedspeech recognition,[1] real-time language translation, the ability to unblur photographs,[2] andHDR-likeframe-by-frame processing for videos.[15]

Models

[edit]
G1 (Original)G2G3G4G5
Pixel devices6,6 Pro, and6a7,7 Pro,7a,Fold, andTablet8,8 Pro, and8a9,9 Pro,9 Pro XL,9 Pro Fold, and9a10,10 Pro,10 Pro XL, and10 Pro Fold
SoCLaunch dateOctober 19, 2021 (2021-10-19)[16][17]October 6, 2022 (2022-10-06)[18]October 4, 2023 (2023-10-04)[19]August 22, 2024 (2024-08-22)[20]August 20, 2025 (2025-08-20)
Model numberGS101 (S5P9845)[8][21]GS201 (S5P9855)[22]GS301 (S5P9865)[23]GS401 (S5P9875)[24]N/a
CodenameWhitechapel[8]Cloudripper[22]Zuma[25]Zuma Pro[26]Laguna[27]
Fabrication5 nm LPE[2][28]5 nm[29]4 nm[30]4 nm[31]3 nm[32]
ManufacturerSamsung[8][33][34][31]TSMC[32]
CPUISAARMv8.2-A[35][36]ARMv9[37]ARMv9.2-A[24]
Bit width64-bit[35][38][39][31]
μarchOcta-core:[15][2]
2× 2.8 GHzCortex-X1
2× 2.25 GHzCortex-A76
4× 1.8 GHzCortex-A55
Octa-core:[40]
2× 2.85 GHzCortex-X1
2× 2.35 GHzCortex-A78
4× 1.8 GHzCortex-A55
Nona-core:[41]
1× 2.91 GHzCortex-X3
4× 2.37 GHzCortex-A715
4× 1.7 GHzCortex-A510
Octa-core:[31]
1× 3.1 GHzCortex-X4
3× 2.6 GHzCortex-A720
4× 1.92 GHzCortex-A520
Octa-core:[42]
1× 3.78 GHzCortex-X4
5× 3.05 GHzCortex-A725
2× 2.25 GHzCortex-A520
SecurityTrustZone (Trusty OS)[43][44][45][46][31]
GPUμarchMali-G78 MP20[2][15]Mali-G710 MP7[40]Mali-G715 MP7[41][47][31][24]PowerVR DXT-48-1536[31]
Frequency848 MHz[28]848 MHz890 MHz[25]940 MHz[31][24]1100 MHz[31]
Performance (FP32)1085.4 GFLOPs[48]759.8 GFLOPs[48]1594.8 GFLOPs[48]1684.4 GFLOPs[48]1689.6 GFLOPs[49]
RAMTypeLPDDR5[28][40]LPDDR5X[41][31][42]
Bus width4× 16-bit (quad-channel)[28][50][47][31]
Speed3200 MHz[28][50]4266 MHz[47][51]
Bandwidth51.2 GB/s[28][50]68.2 GB/s[47][51]
StorageTypeUFS 3.1[52][53][54][55][41][56]UFS 4.0[57]
ISPNPU1st GenEdge TPU[28][44]
(Abrolhos) @ 1066 MHz
2nd Gen Edge TPU
(Janeiro) @ 1066 MHz
3rd Gen Edge TPU[24]
(Rio) @ 1119 MHz
4th Gen TPU[58]
WirelessModem
(external)
Exynos 5123b[28][59][60]Exynos 5300g[61]Exynos 5300i[41]Exynos 5400c[31][62]Exynos 5400i[63]
Wi-FiWi-Fi 6 andWi-Fi 6E[52][53][54][55]Wi-Fi 7[64][65][31]
Bluetooth 5.2[52][53][54][55]Bluetooth 5.3[65][31]Bluetooth 6.0
NavigationDual-bandGNSS[52][53][54][55][45][46][31]

Original

[edit]

The first-generation Tensor chip debuted on thePixel 6 andPixel 6 Pro, which were officially announced in October 2021 at the Pixel Fall Launch event.[16][17] It was later reused for thePixel 6a, a mid-range variant of the Pixel 6 series which was announced in July 2022.[66] Despite being marketed as developed by Google, close-up examinations revealed that the chip contains numerous similarities withSamsung'sExynos series.[21][28]

G2

[edit]

A second-generation Tensor chip was in development by October 2021, codenamed "Cloudripper".[22] At the annualGoogle I/O keynote in July 2022, Google announced that the chip would debut on thePixel 7 andPixel 7 Pro smartphones,[67] which were officially announced on October 6 at the annual Made by Google event. The chip is marketed as "Google Tensor G2".[18] The chip was also used to power thePixel 7a,Pixel Foldfoldable smartphone, andPixel Tablet which was unveiled in May 2023 during the annual I/O keynote.[68]

G3

[edit]

Samsung had begun testing Tensor G3 by August 2022, codenamed "Zuma". Announced in October 2023, the chip was used to power thePixel 8a,Pixel 8 andPixel 8 Pro.[19] This chip is notable for having an unusual 9-core configuration, while all other generations have a more common 8-core configuration.

G4

[edit]

Codename: "Zuma Pro". Devices:Pixel 9,Pixel 9a,Pixel 9 Pro,Pixel 9 Pro XL andPixel 9 Pro Fold.

G5

[edit]

Codename: "Laguna". Devices:Pixel 10,Pixel 10 Pro,Pixel 10 Pro XL andPixel 10 Pro Fold.

The Tensor G5 features anImagination Technologies PowerVR DXT-48-1536 GPU. This marked a departure from the Arm Mali GPUs used in previous Pixel phones, and a choice that was considered uncommon for a flagship device at the time of its release.[69]

Upon the Pixel 10's release, reviewers and users noted that the GPU's performance was subpar, particularly in intensive applications like game emulation. This lackluster performance was attributed to the inclusion of an outdated GPU driver in the phone's initial software.[70] Imagination Technologies had already released a newer driver with improved performance and compatibility, but this was not included with the Pixel 10 at launch. Google later stated that it would release GPU driver updates to improve performance in future software updates for the Pixel 10 series.[71]

Reception

[edit]

At launch, Tensor was well received. Philip Michaels ofTom's Guide praised the Pixel 6 and Pixel 6 Pro's Tensor-powered features and video enhancements,[72] as didMarques Brownlee andWired's Julian Chokkattu.[73][74] Chokkattu's colleague Lily Hay Newman also highlighted the chip's security capabilities, declaring them Tensor's strongest selling point.[75] Jacon Krol ofCNN Underscored wrote that Tensor delivered "some of the most fluid and fastest performance" on a smartphone,[76] thoughAndroid Authority's Jimmy Westenberg was ambivalent.[77] Ryne Hager ofAndroid Police thought the chip's performance was acceptable to the everyday user, but was disappointed that Google did not offer more years of Android updates given it was no longer bound by Qualcomm's contractual terms.[78]TechRadar reviewer James Peckham commended Tensor as a "standout feature",[79] though his colleague David Lumb described the chip's performance as "strong but not class-leading".[80]

See also

[edit]

References

[edit]
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Smartphones
Flagship
Mid-range
Foldables
Computers
Laptops
Tablets
Wearables
People
Related
Application ARM-based chips
Application
processors
(32-bit)
ARMv7-A
Cortex-A5
Cortex-A7
Cortex-A8
Cortex-A9
Cortex-A15
Cortex-A17
Others
ARMv7-A
compatible
ARMv8-A
Others
Application
processors
(64-bit)
ARMv8-A
Cortex-A35
Cortex-A53
Cortex-A57
Cortex-A72
Cortex-A73
Others
ARMv8-A
compatible
ARMv8.1-A
ARMv8.1-A
compatible
ARMv8.2-A
Cortex-A55
Cortex-A75
Cortex-A76
Cortex-A77
Cortex-A78
Cortex-X1
Neoverse N1
Others
  • Cortex-A65, Cortex-A65AE, Cortex-A76AE, Cortex-A78C, Cortex-X1C,Neoverse E1
ARMv8.2-A
compatible
ARMv8.3-A
ARMv8.3-A
compatible
ARMv8.4-A
Neoverse V1
ARMv8.4-A
compatible
ARMv8.5-A
ARMv8.5-A
compatible
ARMv8.6-A
ARMv8.6-A
compatible
ARMv8.7-A
ARMv8.7-A
compatible
ARMv9.0-A
Cortex-A510
Cortex-A710
Cortex-A715
Cortex-X2
Cortex-X3
Neoverse N2
Neoverse V2
ARMv9.2-A
Cortex-A520
Cortex-A720
Cortex-A725
Cortex-X4
Cortex-X925
Neoverse N3
-
Neoverse V3
ARMv9.2-A
compatible
ARMv9.3-A
C1-Ultra
C1-Premium
C1-Pro
C1-Nano
TBD
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