NVIDIA Tegra T20 (Tegra 2) and T30 (Tegra 3) chips
Tegra is a system on a chip (SoC) series developed by Nvidia for mobile devices such as smartphones, personal digital assistants, and mobile Internet devices. مشخصات x30 The Tegra integrates an ARM architecture central processing unit (CPU), graphics processing unit (GPU), northbridge, southbridge, and memory controller onto one package. مشخصات x30 Early Tegra SoCs are designed as efficient multimedia processors, while more recent models emphasize gaming performance without sacrificing power efficiency.
History
The Tegra APX 2500 was announced on February 12, 2008. The Tegra 6xx product line was revealed on June 2, 2008,[1] and the APX 2600 was announced in February 2009. The APX chips were designed for smartphones, while the Tegra 600 and 650 chips were intended for smartbooks and mobile Internet devices (MID).[2]
The first product to use the Tegra was Microsoft's Zune HD media player in September 2009, followed by the Samsung M1.[3] Microsoft's Kin was the first cellular phone to use the Tegra;[4] however, the phone did not have an app store, so the Tegra's power did not provide much advantage. In September 2008, Nvidia and Opera Software announced that they would produce a version of the Opera 9.5 browser optimised for the Tegra on Windows Mobile and Windows CE.[5][6] At Mobile World Congress 2009, Nvidia introduced its port of Google's Android to the Tegra.
On January 7, 2010, Nvidia officially announced and demonstrated its next generation Tegra system-on-a-chip, the Nvidia Tegra 250, at Consumer Electronics Show 2010.[7] Nvidia primarily supports Android on Tegra 2, but booting other ARM-supporting operating systems is possible on devices where the bootloader is accessible. Tegra 2 support for the Ubuntu GNU/Linux distribution was also announced on the Nvidia developer forum.[8]
Nvidia announced the first quad-core SoC at the February 2011 Mobile World Congress event in Barcelona. Though the chip was codenamed Kal-El, it is now branded as Tegra 3. Early benchmark results show impressive gains over Tegra 2,[9][10] and the chip was used in many of the tablets released in the second half of 2011.
In January 2012, Nvidia announced that Audi had selected the Tegra 3 processor for its In-Vehicle Infotainment systems and digital instruments display.[11] The processor will be integrated into Audi's entire line of vehicles worldwide, beginning in 2013. The process is ISO 26262-certified.[12]
In summer of 2012 Tesla Motors began shipping the Model S all electric, high performance sedan, which contains two NVIDIA Tegra 3D Visual Computing Modules (VCM). One VCM powers the 17-inch touchscreen infotainment system, and one drives the 12.3-inch all digital instrument cluster."[13]
In March 2015, Nvidia announced the Tegra X1, the first SoC to have a graphics performance of 1 teraflop. At the announcement event, Nvidia showed off Epic Games' Unreal Engine 4 "Elemental" demo, running on a Tegra X1.
On October 20, 2016, Nvidia announced that Nintendo's then upcoming Switch hybrid home/portable game console will be powered by Tegra hardware.[14] On March 15, 2017, TechInsights revealed the Nintendo Switch is powered by the Tegra X1 (model T210).[15]
Specifications
Tegra APX
Tegra APX 2500
- Processor: مشخصات x30 ARM11 600 MHz MPCore (originally GeForce ULV)
- Suffix: APX (formerly CSX)
- Memory: NOR or NAND flash, Mobile DDR
- Graphics: Image processor (FWVGA 854×480 pixels)
- Up to 12 megapixels camera support
- LCD controller supports resolutions up to 1280×1024
- Storage: IDE for SSD
- Video codecs: up to 720p MPEG-4 AVC/h.264 and VC-1 decoding
- Includes GeForce ULV support for OpenGL ES 2.0, Direct3D Mobile, and programmable shaders
- Output: HDMI, VGA, composite video, S-Video, stereo jack, USB
- USB On-The-Go
Tegra APX 2600
- Enhanced NAND flash
- Video codecs:[16]
- 720p H.264 Baseline Profile encode or decode
- 720p VC-1/WMV9 Advanced Profile decode
- D-1 MPEG-4 Simple Profile encode or decode
Tegra 6xx
Tegra 600
- Targeted for GPS segment and automotive
- Processor: ARM11 700 MHz MPCore
- Memory: low-power DDR (DDR-333, 166 MHz)
- SXGA, HDMI, USB, stereo jack
- HD camera 720p
Tegra 650
- Targeted for GTX of handheld and notebook
- Processor: ARM11 800 MHz MPCore
- Low power DDR (DDR-400, 200 MHz)
- Less than 1 watt envelope
- HD image processing for advanced digital still camera and HD camcorder functions
- Display supports 1080p at 24 frame/s, HDMI v1.3, WSXGA+ LCD and CRT, and NTSC/PAL TV output
- Direct support for Wi-Fi, disk drives, keyboard, mouse, and other peripherals
- A complete board support package (BSP) to enable fast time to market for Windows Mobile-based designs
Tegra 2
The second generation Tegra SoC has a dual-core ARM Cortex-A9 CPU, an ultra low power (ULP) GeForce GPU,[17] a 32-bit memory controller with either LPDDR2-600 or DDR2-667 memory, a 32KB/32KB L1 cache per core and a shared 1MB L2 cache.[18] Tegra 2's Cortex A9 implementation does not include ARM's SIMD extension, NEON. There is a version of the Tegra 2 SoC supporting 3D displays; this SoC uses a higher clocked CPU and GPU.
The Tegra 2 video decoder is largely unchanged from the original Tegra and has limited support for HD formats.[19] The lack of support for high-profile H.264 is particularly troublesome when using online video streaming services.
Common features:
- CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
- 40 nm semiconductor technology
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Micro-
architecture
Core
configuration1
Frequency
Type
Amount
Bus
width
Band-
width
Availability
AP20H (Ventana/Unknown)
Cortex-A9
2
1.0 GHz
VLIW-based
VEC4 units[20]
4:4:?:?
300 MHz
LPDDR2 300 MHz
DDR2 333 MHz
?
32 bit
single-channel
2.4 GB/s
2.7 GB/s
Q1 2010
T20 (Harmony/Ventana)
333 MHz
AP25
1.2 GHz
400 MHz
Q1 2011
T25
Devices
Model
Devices
AP20H
Motorola Atrix 4G, Motorola Droid X2, Motorola Photon, LG Optimus 2X / LG Optimus Dual P990 / Optimus 2x SU660 (?), Samsung Galaxy R, Samsung Captivate Glide,
ZTE Mimosa X, Micromax Superfone A85, T-Mobile G2X P999, Acer Iconia Tab A200 and A500, LG Optimus Pad, Motorola Xoom,[21]Sony Tablet S, Dell Streak 7,
Dell Streak Pro,[22] Asus Slider, Toshiba Thrive[23] tablet, T-Mobile G-Slate
T20
Avionic Design Tamonten Processor Board,[24] Exper EasyPad, Notion Ink Adam tablet, Olivetti OliPad 100, Point of View Mobii 10.1, ViewSonic G Tablet, ViewSonic ViewPad 10s,
ASUS Eee Pad Transformer, Samsung Galaxy Tab 10.1, Toshiba AC100, Toshiba Folio 100, Advent Vega, Hannspree Hannspad, Aigo n700, CompuLab Trim-Slice nettop,
E-Noa Interpad, Malata Tablet Zpad, MSI 10-inch (250 mm) tablet, Toradex Colibri T20, Lenovo IdeaPad Tablet K1, Lenovo ThinkPad Tablet, Velocity Micro Cruz Tablet L510,
Zyrex Onepad SP1110, Zyrex Onepad SP1113G, Acer Iconia Tab A100
AP25
Fusion Garage Grid 10Unknown
Tesla motors models 2013~2014 instrument cluster (IC)[25][26]
Tegra 3
The Ouya uses a Tegra 3 T33-P-A3
The Tegra 3 (codenamed "Kal-El")[27] is functionally a SoC with a quad-core ARM Cortex-A9 MPCore CPU, but includes a fifth "companion" core in what Nvidia refers to as a "variable SMP architecture".[28] While all cores are Cortex-A9s, the companion core is manufactured with a low-power silicon process. This core operates transparently to applications and is used to reduce power consumption when processing load is minimal. The main quad-core portion of the CPU powers off in these situations.
Tegra 3 is the first Tegra release to support ARM's SIMD extension, NEON.
The GPU in Tegra 3 is an evolution of the Tegra 2 GPU, with 4 additional pixel shader units and higher clock frequency. It can also output video up to 2560×1600 resolution and supports 1080p MPEG-4 AVC/h.264 40 Mbit/s High-Profile, VC1-AP, and simpler forms of MPEG-4 such as DivX and Xvid.[29]
The Tegra 3 was released on November 9, 2011.[30]
Common features:
- CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
- 40 nm LPG semiconductor technology by TSMC
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
(multi- / single-core mode)
Micro-
architecture
Core
configuration1
Frequency
Type
Amount
Bus
width
Band-
width
Availability
T30L
Cortex-A9
4+1
1.2 GHz / up to 1.3 GHz
VLIW-based
VEC4 units[20]
8:4:?:?
416 MHz
DDR3-1333
?
32 bit
single-channel
5.3 GB/s[31]
Q1 2012
T30
1.4 GHz / up to 1.5 GHz
520 MHz
LPDDR2-1066
DDR3-L-1500
?
4.3 GB/s
6.0 GB/s[32]
Q4 2011
AP33
T33
1.6 GHz / up to 1.7 GHz[31]
DDR3-1600
?
6.4 GB/s[31]
Q2 2012
Devices
Model
Devices
T30L
Asus Transformer Pad TF300T, ASUS MeMO Pad Smart ME301T, Microsoft Surface, Nexus 7 (2012),[33]Sony Xperia Tablet S, Acer Iconia Tab A210,
WEXLER.TAB 7t, Lenovo IdeaTab A2109, Toshiba AT300 (Excite 10),[34] Toshiba AT10-A (Excite Pure), BLU Quattro 4.5,[35] BLU Quattro 4.5 HD[36] HP Slate 7 Plus
T30
Asus Eee Pad Transformer Prime,[37]IdeaTab K2 / LePad K2,[38]Acer Iconia Tab A510, Acer Iconia Tab A700, ZTE Era, ZTE PF 100, ZTE T98, Toshiba AT270,Asus VivoTab RT, Fuhu Inc. nabi 2 Tablet[39], Tesla motors models 2013~2014 center information display (CID)[40][41], Tesla Model S of 2015 instrument cluster (IC)[42], Kungfu K3,[43] Goophone I5, Olivetti Olipad 3,[44]Microsoft Surface,[45] Lenovo IdeaPad Yoga 11[46][47],
Toradex Colibri T30, Toradex Apalis T30, Nvidia Cardhu developer tablet, Realpad Bunaken (RL-P700-QC)
AP33
LG Optimus 4X HD, Fujitsu Arrows X F-10D, HTC One X, XOLO Play T1000,[48]T33
Asus Transformer Pad Infinity (TF700T), Fujitsu ARROWS X F-02E, Ouya, HTC One X+, Fujitsu Arrows Tab F-05E
Tegra 4
The Tegra 4 (codenamed "Wayne") was announced on January 6, 2013 and is a SoC with a quad-core CPU, but includes a fifth low-power Cortex A15 companion core which is invisible to the OS and performs background tasks to save power. This power-saving configuration is referred to as "variable SMP architecture" and operates like the similar configuration in Tegra 3.[49]
The GeForce GPU in Tegra 4 is again an evolution of its predecessors. However, numerous feature additions and efficiency improvements were implemented. The number of processing resources was dramatically increased, and clock rate increased as well. In 3D tests, the Tegra 4 GPU is typically several times faster than that of Tegra 3.[50] Additionally, the Tegra 4 video processor has full support for hardware decoding and encoding of WebM video (up to 1080p 60Mbit/s @ 60fps).[51]
Along with Tegra 4, Nvidia also introduced i500, an optional software modem based on Nvidia's acquisition of Icera, which can be reprogrammed to support new network standards. It supports category 3 (100Mbit/s) LTE but will later be updated to Category 4 (150Mbit/s).
Common features:
- CPU cache: L1: 32 KB instruction + 32 KB data, L2: 2 MB
- 28 nm HPL semiconductor technology
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Microarchitecture
Core
configuration1
Frequency
Type
Amount
Bus
width
Band-
width
Availability
T114[52]
Cortex-A15
4+1
up to 1.9 GHz
VLIW-based VEC4 units[53]
72 (48:24:4)[20][53]
672 MHz[54]
DDR3L or LPDDR3
?
32 bit dual-channel
up to 14.9 GB/s (1866 MT/s data rate)[55][56]
Q2 2013[57]
1Pixel shaders : Vertex shaders : Pixel pipelines
Devices
Model
Devices
T114
Nvidia Shield Portable, Tegra Note 7, Microsoft Surface 2, HP Slate 7 Extreme,[58] HP Slate 7 Beats Special Edition,[59] HP Slate 8 Pro,[60] HP SlateBook x2,[61] HP SlateBook 14,[62] HP Slate 21,[63] ZTE N988S, nabi Big Tab, Nuvola NP-1, Project Mojo, Asus Transformer Pad TF701T, Toshiba AT10-LE-A (Excite Pro), Vizio 10" tablet, Wexler.Terra 7, Wexler.Terra 10, Acer TA272HUL AIO, Xiaomi Phone 3,[64]Coolpad
大观 4,[65] Audi Tablet,[66] Le Pan TC1020 10.1",[67] Matrimax iPLAY 7[68], Kobo Arc 10HD[69], Tesla Model S of 2015 center information display (CID)[70]
Tegra 4i
The Tegra 4i (codenamed "Grey") was announced on February 19, 2013. With hardware support for the same audio and video formats,[51] but using Cortex-A9 cores instead of Cortex-A15, the Tegra 4i is a low-power variant of the Tegra 4 and is designed for phones and tablets. Unlike its Tegra 4 counterpart, the Tegra 4i also integrates the Icera i500 LTE/HSPA+ baseband processor onto the same die.
Common features:
- 28 nm HPM semiconductor technology
- CPU cache: L1: 32 KB instruction + 32 KB data, L2: 1 MB
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Microarchitecture
Core
configuration1
Frequency
Type
Amount
Bus
width
Band-
width
Availability
T148?[71]
Cortex-A9 "R4"
4+1
up to 2.0 GHz
VLIW-based VEC4 units[53]
60 (48:12:2)[53]
660 MHz[54]
LPDDR3
32 bit single-channel
6.4–7.5 GB/s (800–933 MHz)[56]
Q1 2014
1Pixel shaders : Vertex shaders : Pixel pipelines
Devices
Model
Devices
T148?
Blackphone, LG G2 mini LTE, Wiko Highway 4G,[72] Explay 4Game,[73] Wiko Wax[74][75] QMobile Noir LT-250[76]
Tegra K1
Nvidia’s Tegra K1 (codenamed "Logan") features ARM Cortex-A15 cores in a 4+1 configuration similar to Tegra 4, or Nvidia's 64-bit Project Denver dual-core processor as well as a Kepler graphics processing unit with support for Direct3D 12, OpenGL ES 3.1, CUDA 6.5, OpenGL 4.4/OpenGL 4.5, and Vulkan.[77][78] Nvidia claims that it outperforms both the Xbox 360 and the PS3, whilst consuming significantly less power.[79]
Support Adaptive Scalable Texture Compression.[80]
In late April 2014, Nvidia shipped the "Jetson TK1" development board containing a Tegra K1 SoC and running Ubuntu Linux.[81]
- Processor:
- 32-bit variant quad-core ARM Cortex-A15 MPCore R3 + low power companion core
- or 64-bit variant with dual-core Project Denver[82] (variant once codenamed "Stark"[83])
- GPU consisting of 192 ALUs using Kepler technology
- 28 nm HPM process
- Released in Q2 2014
- Power consumption: 8 watts[79]
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Micro-
architecture
Core
configuration1
Frequency
GFLOPS
(FP32)
Type
Amount
Bus
width
Band-
width
Availability
T124[84]
Cortex-A15 R3
(32-bit)
4+1
up to 2.3 GHz[85]
GK20A
(Kepler)
192:8:4[86]
756-951 MHz
290–365
DDR3L
LPDDR3[86]
max 8 GB
with 40-bit address extension2
64 bit
17 GB/s[86]
Q2 2014
T132
Denver
(64-bit)
2[86]
up to 2.5 GHz[85]
max 8 GB
?
?
Q3 2014
1Unified Shaders : Texture mapping units : Render output units
2 ARM Large Physical Page Extension (LPAE) supports 1 TiB (240 bytes). The 8 GiB limitation is part-specific.
Devices
Model
Devices
T124
Jetson TK1 development board,[87] Nvidia Shield Tablet,[88] Acer Chromebook 13,[89] HP Chromebook 14 G3,[90] Lenovo ThinkVision 28, Xiaomi MiPad,[91] Snail Games
OBox, UTStarcom MC8718, Google Project Tango tablet,[92] Apalis TK1 System on Module,[93] Fuze Tomahawk F1,[94] JXD Singularity S192[95]T132
HTC Nexus 9[96][97]
In December 2015 the web page of wccftech.com published an article stating that Tesla is going to use a Tegra K1 based design derived from the template of the Nvidia Visual Computing Module (VCM) for driving the infotainment systems and providing visual driving aid in the respective vehicle models of that time.[98] This news has as of now found no similar successor or other clear confirmation later on in any other place on such a combination of a multimedia with an auto pilot system for these vehicle models.
Tegra X1
The X1 is the basis for the Nintendo Switch video game console.
Nvidia's Tegra X1 (codenamed "Erista") features four ARM Cortex-A57 cores and four ARM Cortex-A53 cores, as well as a Maxwell-based graphics processing unit.[99][100]
It supports Adaptive Scalable Texture Compression.[80] Contrary to initial belief, Nvidia does not use the eight cores in ARM big.LITTLE configuration. Instead devices utilizing the Tegra X1 always show themselves as having only four ARM Cortex-A57 cores available. The other four ARM Cortex-A53 cores can not be accessed by the operating system and are used automatically in very low power scenarios determined by the CPU itself.[101][102]
- CPU: ARMv8 ARM Cortex-A57 quad-core + ARM Cortex-A53 quad-core (64-bit)
- GPU: Maxwell-based 256 core GPU
- MPEG-4 HEVC & VP9 encoding/decoding support[103]
- TSMC 20 nm process
- TDP 15 watts,[104] with average power consumption less than 10 watts[103]
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Micro-
architecture
Core
configuration1
Frequency
GFLOPS
(FP32)
GFLOPS
(FP16)
Type
Amount
Bus
width
Band-
width
Availability
T210
Cortex-A57 +
Cortex-A53[105]:
753
4 + 4[105]:
753
A57: 1.9 GHz
A53: 1.3 GHz
GM20B
(Maxwell)[105]:
14
256[105]:
13:16:16
1000 MHz
512
1024
LPDDR3/LPDDR4:
773
8 GB[105]:
773
64 bit[105]:
773
25.6 GB/s
Q2 2015
Devices
Model
Devices
T210
Nvidia Shield Android TV, Nvidia Jetson TX1 development board,[106]Nvidia Drive CX & PX, Google Pixel C, Nintendo Switch[107][15]
Tegra X2
Nvidia's Tegra X2[108][109] (codenamed "Parker") features Nvidia’s own custom general-purpose ARMv8-compatible core Denver 2 as well as code-named Pascal graphics processing core with GPGPU support.[110] The chips are made using FinFET process technology using TSMC's 16 nm FinFET+ manufacturing process.[111][112][113]
- CPU: Nvidia Denver2 ARMv8 (64-bit) dual-core + ARMv8 ARM Cortex-A57 quad-core (64-bit)
- RAM: up to 16GB LPDDR4 [source?]
- GPU: Pascal-based, 256 CUDA cores
- TSMC 16 nm FinFET process
- TDP: 7.5-15W[114]
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Micro-
architecture
Core
configuration1
Frequency
GFLOPS
(FP32)
GFLOPS
(FP16)
Type
Amount
Bus
width
Band-
width
Availability
T186
Denver2 +
Cortex-A57
2 + 4
Denver2: 1.4–2.0 GHz
A57: 1.2–2.0 GHz
GP10B (Pascal)[115]
256:?:?
854–1465 MHz
437–750
874–1500
LPDDR4
8 GB
128 bit
58.4 GB/s
Devices
Model
Devices
T186
Nvidia Drive PX2 (variants),
ZF ProAI[116]Unknown
Nvidia Jetson TX2[114]Unknown
Mercedes-Benz MBUX (infotainment system)[117]Unknown
1 unit along with 1 GPU semiconductor is part of the ECU for "Tesla vision" functionality in all Tesla Motors models since October 2016[118][119]Unknown
Magic Leap One[120][121](mixed environment glasses)
Xavier
The most recent Tegra SoC, named Xavier after the comic book character Professor X, was announced on 28 September 2016. Its release date might be in the first quarter of 2018.[122] It is to contain 7 billion transistors and 8 custom ARMv8 cores, a Volta GPU with 512 CUDA cores, an open sourced TPU (Tensor Processing Unit) called DLA (Deep Learning Accelerator)[123][124] It is able to encode and decode 8K Ultra HD (7680×4320). Nvidia aims for a 20–30 watt TDP and the die size is estimated to be about 300 mm2.[125][126][127] Nvidia confirmed the fabrication process to be 12nm FinFET at CES 2018.[128]
- CPU: Nvidia custom Carmel ARMv8 (64-bit), 8 cores 10 wide superscalar[129]
- GPU: Volta-based, 512 CUDA cores with 1.3 TFLOPS[130]
- TSMC 12 nm FinFET process[128]
- 20 TOPS DL and 160 SPECint @ 20 W;[125] 30 TOPS DL @ 30 W[127] (TOPS DL = Deep Learning Tera-Ops)
- 20 TOPS DL via the GPU based tensor cores
- 10 TOPS DL (INT8) via the DLA unit that shall achieve 5 TFLOPS (FP16)[131]
- 1.6 TOPS in the PVA unit (Programmable Vision Accelerator[132], for StereoDisparity/OpticalFlow/ImageProcessing)
- 1.5 GPix/s in the ISP unit (Image Signal Processor, with native full-range HDR and tile processing support)
- Video Processor for 1.2 GPix/s encoding and 1.8 GPix/s decode[133] including 8k video support[134]
- MIPI-CSI-3 with 16 lanes[135][136]
- 1 Gbit/s Ethernet
- 10 Gbit/s Ethernet
Model
number
CPU
GPU
Memory
Adoption
Processor
Cores
Frequency
Micro-
architecture
Core
configuration1
Frequency
GFLOPS
Type
Amount
Bus
width
Band-
width
Availability
T194[137]
Carmel
8
GV10B?[138] (Volta)
512:?:?
1270MHz
1300
LPDDR4
256-bit
137 GB/s
Q3(?) 2018[122]
Devices
Model
Devices
Unknown
Nvidia Drive Xavier (Drive PX-series)[139]
(formerly named Xavier AI Car Supercomputer)
Unknown
Nvidia Drive Pegasus (Drive PX-series)[140]Unknown
Nvidia Jetson Xavier[141]Unknown
Bosch and Nvidia designed Self Driving System[142]Unknown
ZF ProAI[143][144]
On the Linux Kernel Mailing List a Tegra194 based development board with type ID "P2972-0000" got reported: The board consists of the P2888 compute module and the P2822 baseboard.[145]
Orin
Nvidia announced the next-gen SoC codename Orin (resembling the name of an aquaman comic hero[146]) on March 27, 2018 at GPU Technology Conference 2018.[147] Presentations already indicate that a design with two Orin chips are planned to be on par with the performance that a Pegasus board with four chips (supposed to be formed by two Xavier chips and two GPU chips) and a factor of five in performance between Xavier and Orin seems indicated.[148]
Comparison
Series/
Generation
Tegra 2
Tegra 3
Tegra 4
Tegra K1
Tegra X1
Tegra X2
Xavier
Model/Device
all
all
all
T124
T132
T210
T186
T194
CPU
Instruction set
ARMv7
ARMv8
Cores
2 A9
4+1 A9
4+1 A15
4+1 A15
2 Denver
4 A53 + 4 A57
2 Denver2 + 4 A57
8 Nvidia custom Carmel
L1 Cache (I / D)
32 / 32 KB
128 / 64 KB
32 / 32 KB + 64 / 32 KB
128 / 64 KB + 48 / 32 KB
?
L2 Cache
1MB
2MB
128KB + 2MB
2MB + 2MB
?
GPU
Architecture
Vec4
Kepler
Maxwell
Pascal
Volta
CUDA Cores
4+4*
8+4*
48+24*
192
256
512
RAM
Protocol
DDR2
DDR3
(+DDR2)
DDR3
LPDDR3/LPDDR4
LPDDR4
Max. size
1GB
2GB
4GB
8GB
8GB
16GB
?
Process
40 nm
28 nm
20 nm
16 nm FF
12 nm FFN
* Pixel shaders + Vertex shaders. Since Kepler, Unified shaders are used.
Software support
Linux
Nvidia distributes proprietary device drivers for Tegra through OEMs and as part of its "Linux for Tegra" (formerly "L4T") development kit. The newer and more powerful devices of the Tegra family are now supported by Nvidia's own Vibrante Linux distribution. Vibrante comes with a larger set of GNU/Linux tools plus several Nvidia provided libraries for acceleration in the area of data processing and especially image processing for driving safety and automated driving up to the level of deep learning and neuronal networks that make e.g. heavy use of the CUDA capable accelerator blocks, and via OpenCV can make use of the NEON vector extensions of the ARM cores.
As of April 2012, due to different "business needs" from that of their GeForce line of graphics cards, Nvidia and one of their Embedded Partners, Avionic Design GmbH from Germany, are also working on submitting open source drivers for Tegra upstream to the mainline Linux kernel.[149][150]
Nvidia co-founder & CEO laid out the Tegra processor roadmap using Ubuntu Unity in GPU Technology Conference 2013.[151]
QNX
The Drive PX2 board was announced with QNX RTOS support at the April 2016 GPU Technology Conference.[152]
Similar platforms
SoCs and platforms with comparable specifications (e.g. audio/video input, output and processing capability, connectivity, programmability, entertainment/embedded/automotive capabilities & certifications, power consumption) are:
- A-Series by AllWinner
- Apple "A" series by Apple
- Atom by Intel
- Exynos by Samsung
- i.MX by Freescale Semiconductor
- Jaguar and Puma by AMD
- K3Vx/Kirin by HiSilicon
- MTx by MediaTek
- NovaThor by ST-Ericsson
- OCTEON by Cavium
- OMAP by Texas Instruments
- Qualcomm Snapdragon
- R-Car by Renesas
- RK3 by Rockchip
- VideoCore by Broadcom
See also
- Project Denver
- Nomadik
- XScale
- ZiiLABS
References
[153]
^ [1]
^ "NVIDIA Tegra FAQ" (PDF). Nvidia.com. Retrieved 2008-06-04.
^ "Nvidia prepara Tegra 3 a 1,5 GHz". TugaTech. 2011-01-27. Retrieved 2016-07-10.
^ "Microsoft's Kin are the first Tegra smartphones - PC World Australia". Pcworld.idg.com.au. 2010-04-13. Retrieved 2016-07-10.
^ "Nvidia and Opera team to accelerate the full Web on mobile devices" (Press release). Opera Software. 2008-09-09. Retrieved 2009-01-09.
^ "Nvidia And Opera Team To Accelerate The Full Web On Mobile Devices" (Press release). NVIDIA. 2008-09-09. Retrieved 2009-04-17.
^ "New Nvidia Tegra Processor Powers The Tablet Revolution". Nvidia. January 7, 2010. Retrieved 2010-03-19.
^ "What operating systems does Tegra support?" (Press release). NVIDIA. 2011-08-17. Retrieved 2011-09-14.
^ "Why nVidia's Tegra 3 is faster than a Core 2 Duo T7200". Brightsideofnews.com. February 21, 2011. Retrieved 2011-08-12.
^ Hruska, Joel (2011-02-22). "Nvidia's Kal-El Demonstration Marred By Benchmark Confusion". HotHardware. Retrieved 2016-07-15.
^ "Audi selects Tegra processor for infotainment and dashboard". EE Times. 2012-01-18. Retrieved 2016-07-15.
^ "What Is Automotive Grade? Here's What It Means". The Official NVIDIA Blog. Retrieved 2016-10-11.
^ "Tegra Automotive Infotainment and Navigation". NVIDIA. Retrieved 2013-01-04.
^ "NVIDIA Gaming Technology Powers Nintendo Switch | NVIDIA Blog". The Official NVIDIA Blog. 2016-10-20. Retrieved 2016-10-20.
^ a b techinsights.com. "Nintendo Switch Teardown". www.techinsights.com. Retrieved 2017-03-15.
^ "Nvidia Tegra APX Specifications". Retrieved 2011-02-17.
^ "LG Optimus 2X & Nvidia Tegra 2 Review: The First Dual-Core Smartphone". AnandTech. Retrieved 2011-08-12.
^ "NVidia Tegra 2 Product Information". NVidia. Retrieved 2011-09-05.
^ "NVidia Tegra 2 Product Information". NVidia. Retrieved 2015-11-01.
^ a b c Anand Lal Shimpi. "The Tegra 4 GPU, NVIDIA Claims Better Performance Than iPad 4". AnandTech. Retrieved 2015-11-05.
^ "Motorola Xoom Specifications Table". Motorola Mobility, Inc. February 16, 2011. Archived from the original on February 20, 2011. Retrieved February 16, 2011.
^ Savov, Vlad (2011-05-19). "Dell Streak Pro Honeycomb tablet pictured, likely to be with us in June". Engadget. Retrieved 2016-02-05.
^ "Toshiba Thrive Review". TabletPCReview. TechTarget, Inc. August 3, 2011. Retrieved November 21, 2013.
^ "Avionic Design Tegra 2 (T290) Tamonten Processor Module — Product Brief" (PDF). Avionic Design. Retrieved May 25, 2012.
^ Nvidia inside: Hands on with Audi, Lamborghini, and Tesla by Megan Geuss on May, 2014
^ Processors Analysis and Count on May, 2013
^ "Nvidia announces the Tegra 3 - Kal-El brings PC class performance to Android". Android Central. 2011-11-09. Retrieved 2016-07-10.
^ "Tegra 3 Multi-Core Processors". NVIDIA. Retrieved 2016-07-15.
^ "ASUS Transformer Prime introduced and examined". HEXUS.net. Retrieved 2011-11-11.
^ [2]
^ a b c "A Faster Tegra 3, More Memory Bandwidth - ASUS Transformer Pad Infinity (TF700T) Review". Anandtech.com. Retrieved 2016-07-10.
^ "Tegra 3 Multi-Core Processors". NVIDIA. Retrieved 2016-07-10.
^ "Nexus 7 tablet hands-on". Engadget. Retrieved June 27, 2012.
^ "Toshiba Excite 10 Benchmark Test". YouTube. Retrieved November 25, 2012.
^ [3]
^ [4]
^ "Asus Eee Pad Transformer Prime (Nvidia Tegra 3 Processor; 10.1-inch display) Review". December 30, 2011. Archived from the original on April 2, 2013.
^ "GFXBench - unified graphics benchmark based on DXBenchmark (DirectX) and GLBenchmark (OpenGL ES)". Glbenchmark.com. Retrieved 2016-07-15.
^ Cameron Summerson. "Fuhu Nabi 2 Review: A Quad-Core Android 4.0 Tablet Designed Just For Your Kids - And It's Surprisingly Awesome". Androidpolice.com. Retrieved 2016-07-15.
^ Nvidia inside: Hands on with Audi, Lamborghini, and Tesla by Megan Geuss on May, 2014
^ Processors Analysis and Count on May, 2013
^ Hacking a Tesla Model S: What we found and what we learned by Kevin Mahaffey on August 7, 2015
^ "KungFu K3, yet another Quad-core Galaxy S III knock-off". Gizmochina. Retrieved 2016-07-15.
^ "Olivetti | Home Page". Olivetti.it. Retrieved 2016-07-15.
^ "Microsoft Announces New Surface Details | News Center". Microsoft.com. 2012-10-16. Retrieved 2016-07-15.
^ "Lenovo Introduces The IdeaPad Yoga 11 and 13, The First Tablet & Laptop Ultrabook Hybrid". TechCrunch. 2012-10-09. Retrieved 2016-07-15.
^ Jerry Jackson (2012-10-09). "Lenovo Launches IdeaPad Yoga 11, Yoga 13". Notebookreview.com. Retrieved 2016-07-15.
^ [5]
^ "Tegra 4 Processors". NVIDIA. Retrieved 2016-07-15.
^ Parrish, Kevin. "Results: GPU Benchmarks - EVGA Tegra Note 7 Review: Nvidia's Tegra 4 For $200". Tomshardware.com. Retrieved 2016-07-15.
^ a b "NVIDIA Tegra Multi-processor Architecture" (PDF). Retrieved 2013-07-10.
^ Larabel, Michael (December 20, 2012). "NVIDIA Publishes Their Next-Gen Tegra 4 Code". phoronix.com. Retrieved August 2, 2013.
^ a b c d Walrath, Josh. "NVIDIA Details Tegra 4 and Tegra 4i Graphics". PC Perspective. Retrieved September 2, 2013.
^ a b Angelini, Chris. "Nvidia's Tegra 4 GPU: Doubling Down On Efficiency". Tom's Hardware. Retrieved September 2, 2013.
^ "Tegra 4 Processors". NVIDIA. Retrieved 2013-07-10.
^ a b "NVIDIA Tegra 4 Architecture Deep Dive, Plus Tegra 4i, Icera i500 & Phoenix Hands On". AnandTech. Retrieved 2013-07-10.
^ "Tegra 4 Shipment Date: Still Q2 2013". AnandTech. Retrieved 2013-07-10.
^ "HP Slate 7 Extreme 4400CA Tablet Product Specifications". .hp.com. Retrieved 2016-09-22.
^ "HP Slate7 Beats Special Edition 4501 Tablet Product Specifications". .hp.com. Retrieved 2016-09-22.
^ "HP Slate 8 Pro 7600us Tablet Product Specifications". hp.com. Retrieved 2016-09-22.
^ "HP SlateBook x2 Overview - Android Tablet Notebook | HP® Official Site". .hp.com. Retrieved 2013-07-10.
^ "HP SlateBook 14-p010nr Product Specifications". hp.com. Retrieved 2016-09-22.
^ "HP Slate 21-s100 All-in-One Desktop PC - Product Specifications". hp.com. Retrieved 2016-09-22.
^ [6]
^ "用户太多，系统繁忙". Shop.coolpad.cn. Retrieved 2016-07-15.
^ Shapiro, Danny. "Audi Offers Taste of Tegra-Powered Future at Geneva Motor Show | NVIDIA Blog". Blogs.nvidia.com. Retrieved 2016-07-10.
^ "Le Pan – TC1020". Lepantab.com. Retrieved 2016-09-22.
^ "[Test] Matrimax iPlay". Open-consoles-news.com. Retrieved 2016-09-22.
^ "Kobo Arc 10 HD Specs". C-Net. Retrieved 2017-07-08.
^ Hacking a Tesla Model S: What we found and what we learned by Kevin Mahaffey on August 7, 2015
^ Cunningham, Andrew (February 19, 2013). "Project Grey becomes Tegra 4i, Nvidia's latest play for smartphones". Ars Technica. Retrieved 2013-07-10.
^ [7]
^ "Explay 4Game | Четырехъядерный смартфон на базе Tegra 4i | NVIDIA". Blogs.nvidia.com. Retrieved 2016-07-10.
^ Han, Mike (2014-02-24). "NVIDIA LTE Modem Makes Landfall in Europe, with Launch of Wiko Tegra 4i LTE Smartphone | The Official NVIDIA Blog". Blogs.nvidia.com. Retrieved 2016-07-10.
^ "Wiko WAX". DeviceSpecifications. Retrieved 2014-05-21.
^ "QMobile Noir LT-250". DeviceSpecifications. Retrieved 2014-02-10.
^ Park, Will (2014-05-15). "NVIDIA’s Tegra K1 Powers Xiaomi’s First Tablet | The Official NVIDIA Blog". Blogs.nvidia.com. Retrieved 2016-07-15.
^ "NVIDIA Shield Tablet K1 gets Vulkan support with Android 6.0.1 update".
^ a b Leo Kelion (January 6, 2014). "CES 2014: Nvidia Tegra K1 offers leap in graphics power". BBC. Retrieved January 11, 2014.
^ a b "Vulkan API" (PDF).
^ Michael Larabel (29 April 2014). "NVIDIA's Tegra TK1 Jetson Board Is Now Shipping". Phoronix.
^ Anthony, Sebastian (January 6, 2014). "Tegra K1 64-bit Denver core analysis: Are Nvidia's x86 efforts hidden within?". ExtremeTech. Retrieved January 7, 2014.
^ NVIDIA CEO confirms Tegra roadmap, building all now: Kal-El, Wayne, Logan, Stark, October 21, 2011: Finally, he confirmed that the inner workings we've heard about in Project Denver will first be present in the Tegra line with the introduction of Stark(...)
^ "Tegra K1 Next-Gen Mobile Processor | NVIDIA Tegra". NVIDIA. Retrieved 2016-07-15.
^ a b Stam, Nick. "Mile High Milestone: Tegra K1 “Denver� Will Be First 64-bit ARM Processor for Android | The Official NVIDIA Blog". Blogs.nvidia.com. Retrieved 2016-07-15.
^ a b c d Brian Klug a; Anand Lal Shimpi (January 6, 2014). "NVIDIA Tegra K1 Preview & Architecture Analysis". AnandTech. p. 3. Retrieved 2014-05-02.
^ "Jetson TK1 development board".
^ "SHIELD Tablet, The Ultimate Tablet For Gamers". GeForce. 2014-07-22. Retrieved 2016-07-15.
^ "Tegra K1 Lands in Acer's Newest Chromebook". Anandtech. 2014-08-11.
^ "HP Chromebook 14 G3 - Specifications". HP. 2018-08-30.
^ "Xiaomi MiPad Mi515". DeviceSpecifications. Retrieved 18 May 2014.
^ "Google". Google. Retrieved 2016-07-15.
^ "NVIDIA Tegra K1 System/Computer on Module - Apalis TK1 SOM". Toradex.com. Retrieved 2016-07-15.
^ Rothman, Chelsea. "Fuze Tomahawk F1: The Chinese Android XStation 4". Comics Gaming Magazine. Retrieved 1 June 2016.
^ [8]
^ "Nexus 9". Google. Retrieved 2016-07-15.
^ "Google Nexus 9 Specs and Reviews | HTC United States". Htc.com. Retrieved 2016-07-15.
^ Exclusive: The Tesla AutoPilot – An In-Depth Look At The Technology Behind the Engineering Marvel by Usman Pirzada on Dec 3, 2015
^ "Tegra X1 Super Chip | NVIDIA Tegra". NVIDIA. Retrieved 2016-07-10.
^ "NVIDIA Tegra X1 Preview & Architecture Analysis". Anandtech.com. Retrieved 2016-07-10.
^ "Tegra X1 advertised as four core to developers". NVIDIA. Retrieved 2017-04-04.
^ "Tegra X1 uses cluster migration". Anandtech. Retrieved 2017-04-04.
^ a b Michael Crider. "NVIDIA Announces The New Tegra X1 Mobile Chipset With 256-Core Maxwell GPU". Androidpolice.com. Retrieved 2016-07-10.
^ "NVIDIA® Jetson™ TX1 Supercomputer-on-Module Drives Next Wave of Autonomous Machines | Parallel Forall". Devblogs.nvidia.com. 2015-11-11. Retrieved 2016-07-15.
^ a b c d e f "Tegra X1 (SoC) Technical Reference Manual". developer.nvidia.com (v1.2p ed.). Retrieved 2018-02-20. (registration required)
^ "Embedded Systems Development Solutions from NVIDIA Jetson". NVIDIA. 2015-03-18. Retrieved 2016-07-10.
^ "3.3 Hardware Specifications". dystify.com. Archived from the original on 2017-02-13. Retrieved 2017-02-27.
^ "DATA SHEET - NVIDIA Jetson TX2 System-on-Module".
^ NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge by Dustin Franklin on March 7, 2017 at Nvidia Developer Blogs
^ https://developer.nvidia.com/embedded/dlc/jetson-tx2-module-data-sheet(registration required)
^ "NVIDIA Discloses Next-Generation Tegra SoC; Parker Inbound?". Anandtech.com. 2016-01-05. Retrieved 2016-07-10.
^ http://www.anandtech.com/show/10596/hot-chips-2016-nvidia-discloses-tegra-parker-details
^ Ho, Joshua (25 August 2016). "Hot Chips 2016: NVIDIA Discloses Tegra Parker Details". Anandtech. Retrieved 25 August 2016.
^ a b NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA’s Embedded System Kit, March 7, 2017
^ NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau by Michael Larabel at phoronix.com on March 29, 2017
^ https://blogs.nvidia.com/blog/2017/01/04/zf-ces/
^ NVIDIA Powers Mercedes-Benz MBUX, Its Next-Gen AI Cockpit by Danny Shapiro on January 9, 2018 via Nvidia company blogs
^ Look inside Tesla’s onboard Nvidia supercomputer for self-driving by Fred Lambert on May 22, 2017
^ Tesla Working With AMD on Self-Driving Car Processor by Joel Hruska on September 21, 2017
^ "Magic Leap One will ship this summer with Nvidia Tegra X2 processor". VentureBeat. 2018-07-11. Retrieved 2018-07-11.
^ Magic Leap One teardown at ifixit.com
^ a b Oh, Nate (26 September 2017). "Nvidia Gives Xavier Status Update & Announces TensorRT 3 at GTC China 2017 Keynote". Anandtech. Retrieved 26 September 2017.
^ Anandtech Live Blog on NV GPU Conference 2017 Keynote
^ Jensen Huang from Nvidia blogging with the headline AI Is Eating Software
^ a b Smith, Ryan. "NVIDIA Teases Xavier, a High-Performance ARM SoC for Drive PX & AI". Retrieved 2016-09-28.
^ https://blogs.nvidia.com/blog/2016/09/28/xavier/
^ a b Cutress, Ian; Tallis, Billy (4 January 2016). "CES 2017: Nvidia Keynote Liveblog". Anandtech.com. Retrieved 9 January 2017.
^ a b Baldwin, Roberto (8 January 2018). "NVIDIA unveils its powerful Xavier SOC for self-driving cars". Engadget. Retrieved 8 January 2018.
^ NVIDIA Drive Xavier SOC Detailed by Hassan Mujtaba on Jan 8, 2018 via WccfTech
^ Nvidia Xavier sampling in Q1 18
^ Nvidia Xavier sampling in Q1 18
^ United States Patent Application 20160321074 of Nvidia, item 230
^ Nvidia Xavier sampling in Q1 18
^ Introducing Xavier, the NVIDIA AI Supercomputer for the Future of Autonomous Transportation
^ Understanding MIPI Alliance Interface Specifications
^ NVIDIA Drive Xavier SOC Detailed
^ Linux Kernel Mailing List: (PATCH v3 0/7) Initial support for NVIDIA Tegra194
^ Nvidia Xavier Specs on TechPowerUp (preliminary)
^ Auf Pegasus folgt Orin: Drive-PX-Plattform mit Turing- oder Ampere-Architektur
^ Auf Pegasus folgt Orin: Drive-PX-Plattform mit Turing- oder Ampere-Architektur
^ https://developer.nvidia.com/jetson-xavier-devkit
^ Shilov, Anton (18 March 2017). "Bosch and Nvidia Team Up for Xavier based Self-Driving Systems for Mass Market Cars". Anandtech.com. Retrieved 22 June 2017.
^ https://vision.zf.com/site/magazine/en/articles_3392.html
^ Baidu, NVIDIA and ZF team to drive autonomous vehicles in China
^ Linux Kernel Mailing List: (PATCH v3 7/7) arm64: tegra: Add device tree for the Tegra194 P2972-0000 board by Mikko Perttunen on Feb 15 2018
^ King Orin
^ https://www.anandtech.com/show/12598/nvidia-arm-soc-roadmap-updated-after-xavier-comes-orin
^ Nvidia announces Automotive SoC Orin on fudzilla
^ Mayo, Jon (April 20, 2012). "[RFC 0/4] Add NVIDIA Tegra DRM support". dri-devel (Mailing list). Retrieved 2012-08-21.
^ Larabel, Michael (April 11, 2012). "A NVIDIA Tegra 2 DRM/KMS Driver Tips Up". Phoronix Media. Retrieved 2012-08-21.
^ "GTC 2013: NVIDIA's Tegra Roadmap (6 of 11)". YouTube. Retrieved 2013-07-10.
^ [9]
^ eSOMTK1 - nVIDIA Tegra K1 System on Module, e-consystems.com. Retrieved 16 Aug 2016
External links
- Official website
- Nvidia's Tegra APX website
- Nvidia's Tegra FAQ
- Tegra X1 Whitepaper
- Tegra K1 Whitepaper
- Tegra 4 CPU Whitepaper
- Tegra 4 GPU Whitepaper
- Tegra 3 Whitepaper
- Tegra 2 Whitepaper
Nvidia
GeForce (List of GPUs)
Fixed pixel pipeline(s)
- NV1
- NV2
- RIVA 128
- RIVA TNT
- RIVA TNT2
Hardware T&L and fixed pixel pipelines
Vertex and fragment shaders
- GeForce 3
- 4 (Ti)
- 5 (FX)
- 6
- 7
Unified shaders
Tesla
Fermi
Unified shaders
& memory
Kepler
Maxwell & Kepler
Maxwell
Pascal
Volta
Turing
Software and technologies
Multimedia
acceleration
- Nvidia NVENC (video encoding)
- Nvidia PureVideo (video decoding)
Software
- Cg (shading language)
- CUDA
- Gelato (offline renderer)
- Nvidia GameWorks
- OptiX (ray tracing API)
- PhysX (physics SDK)
- Nvidia RTX (ray tracing platform)
- Nvidia System Tools
- VDPAU (video decode API)
Technologies
- Nvidia 3D Vision (active shutter)
- Nvidia G-Sync (variable refresh rate)
- Nvidia Optimus (GPU switching)
- Nvidia Surround (multi-monitor)
- NVLink (protocol)
- Scalable Link Interface (multi-GPU)
- TurboCache (framebuffer in system memory)
Other products
Workstations and
supercomputers
- Nvidia Quadro
- Nvidia Tesla
Console components
- NV2A (Xbox)
- RSX 'Reality Synthesizer' (PlayStation 3)
- Tegra NX-SoC (Nintendo Switch)
Nvidia Shield
- Shield Portable
- Shield Tablet
- Shield Android TV
- GeForce Now
SoCs and embedded
- GoForce
- DGX
- Drive
- Jetson
- Tegra
CPUs
Computer chipsets
Company
Key people
- Jen-Hsun Huang
- Chris Malachowsky
- Curtis Priem
- David Kirk
- Bill Dally
- Debora Shoquist
- Ranga Jayaraman
- Jonah M. Alben
Acquisitions
- 3dfx Interactive
- Ageia
- ULi
- Icera
- Mental Images
- PortalPlayer
- Exluna
- MediaQ
- Stexar
ARM-based chips
Application ARM-based chips
- ARM Holdings
- ARM architecture
- List of ARM microarchitectures
- List of applications of ARM cores
- ARM Cortex-A
- ARM Cortex-R
- ARM Cortex-M
- Comparison of ARMv7-A cores
- Comparison of ARMv8-A cores
Application
processors
(32-bit)
Cortex-A5
- Actions ATM702x
- Amlogic M805/S805, T82x
- Atmel SAMA5D3
- InfoTM iMAPx820, iMAPx15
- Qualcomm Snapdragon S4 Play, 200
- RDA RDA8810PL
- Telechips TCC892x
Cortex-A7
- Allwinner A2x, A3x, A83T, H3, H8
- NXP i.MX7
- Broadcom VideoCore BCM2836, BCM23550
- NXP Semiconductors QorIQ LS10xx
- Leadcore LC1813, LC1860/C, LC1913, LC1960
- Marvell Armada PXA1920, 1500 mini plus
- MediaTek MT65xx
- Qualcomm Snapdragon 200, 400
Cortex-A8
- Allwinner A1x
- Apple A4
- Freescale i.MX5
- Rockchip RK291x
- Samsung Exynos 3110(S5PC110), S5PV210
- Texas Instruments OMAP 3
- Texas Instruments Sitara AM3
- Texas Instruments DM38x
- ZiiLABS ZMS-08
Cortex-A9
- Actions ATM702x, ATM703x
- Altera Cyclone V, Arria V/10
- Amlogic AML8726, MX, M6x, M801, M802/S802, S812, T86x
- Apple A5, A5X
- Broadcom VideoCore BCM21, BCM28
- Freescale i.MX6
- HiSilicon K3V2, 910's
- InfoTM iMAPx912
- Leadcore LC1810, LC1811
- Marvell Armada 1500 mini
- MediaTek MT65xx
- Nvidia Tegra, 2, 3, 4i
- Nufront NuSmart 2816M, NS115, NS115M
- Renesas EMMA EV2, R-Car H1, RZ/A
- Rockchip RK292x, RK30xx, RK31xx
- Samsung Exynos 4 421x, 441x
- ST-Ericsson NovaThor
- Telechips TCC8803
- Texas Instruments OMAP 4
- Texas Instruments Sitara AM4
- VIA WonderMedia WM88x0, 89x0
- Xilinx Zynq-7000
- ZiiLABS ZMS-20, ZMS-40
Cortex-A15
- Allwinner A80
- HiSilicon K3V3
- MediaTek MT8135/V
- Nvidia Tegra 4, K1
- Renesas R-Car H2
- Samsung Exynos 5 52xx, 54xx
- Texas Instruments OMAP 5, DRA7xx, AM57xx
- Texas Instruments Sitara AM5
Cortex-A17
- MediaTek MT6595, MT5595
- Mstar 6A928
- Rockchip RK3288
ARMv7-A
compatible
- Apple A6, A6X, S1, S1P, S2, S3
- Broadcom Brahma-B15
- Marvell P4J
- Qualcomm Snapdragon S1, S2, S3, S4 Plus, S4 Pro, 600, 800 (Scorpion, Krait)
Others
- Enhanced Cortex-A8
- Enhanced Cortex-A9
- Cortex-A12
- Cortex-A32
Application
processors
(64-bit)
Cortex-A35
- NXP i.MX8X
- MediaTek MT8516
Cortex-A53
- Actions GT7, S900, V700
- Allwinner A64, H5, H64, R18
- Altera Stratix 10
- Amlogic S9 Family, T96x
- Broadcom BCM2837
- EZchip TILE-Mx100
- HiSilicon Kirin 620, 65x, 93x
- Marvell Armada PXA1928, Mobile PXA1908/PXA1936
- MediaTek MT673x, MT675x, MT6795, MT873x, MT8752, MT8163
- NXP ARM S32
- Qualcomm Snapdragon 41x, 42x, 43x, 61x, 62x
- Rockchip RK3328, RK3368
- Samsung Exynos 7 75xx, 78xx
- Spreadtrum SC9860/GV, SC9836
- Xilinx ZynqMP
- NXP Semiconductors QorIQ LS1088
- NXP i.MX8M
Cortex-A57
- AMD Opteron A1100-series
- NXP Semiconductors QorIQ LS20xx
- Nvidia Tegra X1
- Qualcomm Snapdragon 808, 810
- Samsung Exynos 7 5433, 7420
Cortex-A72
- HiSilicon Kirin 95x
- MediaTek Helio X2x, MT817x
- Mstar 6A938
- Qualcomm Snapdragon 65x
- Rockchip RK3399
- NXP Semiconductors QorIQ LS2088
- NXP Semiconductors QorIQ LS1046A
- NXP i.MX8
Cortex-A73
- HiSilicon Kirin 960, Kirin 970
- MediaTek Helio X30
Cortex-A75
Cortex-A76
- Kirin 980
- Qualcomm Snapdragon 855
- Samsung Exynos 9820
ARMv8-A
compatible
- Apple A7, A8, A8X, A9, A9X, A10, A10X, A11, A12
- Applied Micro X-Gene
- Cavium ThunderX, ThunderX2
- Nvidia Tegra K1 (Project Denver)
- Samsung Mongoose
- Qualcomm Kryo, Falkor
Embedded ARM-based chips
- ARM Holdings
- ARM architecture
- List of ARM cores
- ARM Cortex-A
- ARM Cortex-R
- ARM Cortex-M
- List of ARM Cortex-M development tools
Embedded
microcontrollers
Cortex-M0
- Cypress PSoC 4000, 4100, 4100M, 4200, 4200DS, 4200L, 4200M
- Infineon XMC1000
- Nordic nRF51
- NXP LPC1100, LPC1200
- nuvoTon NuMicro
- Sonix SN32F700
- STMicroelectronics STM32 F0
- Toshiba TX00
- Vorago VA108x0
Cortex-M0+
- Cypress PSoC 4000S, 4100S, 4100S+, 4100PS, 4700S, FM0+
- Holtek HT32F52000
- Microchip (Atmel) SAM C2, D0, D1, D2, DA, L2, R2, R3
- NXP LPC800, LPC11E60, LPC11U60
- NXP (Freescale) Kinetis E, EA, L, M, V1, W0
- Renesas Synergy S1
- Silicon Labs (Energy Micro) EFM32 Zero, Happy
- STMicroelectronics STM32 L0
Cortex-M1
- Altera FPGAs Cyclone-II, Cyclone-III, Stratix-II, Stratix-III
- Microsemi (Actel) FPGAs Fusion, IGLOO/e, ProASIC3L, ProASIC3/E
- Xilinx FPGAs Spartan-3, Virtex-2-3-4
Cortex-M3
- Actel SmartFusion, SmartFusion 2
- Analog Devices ADuCM300
- Cypress PSoC 5000, 5000LP, FM3
- Fujitsu FM3
- Holtek HT32F
- Microchip (Atmel) SAM 3A, 3N, 3S, 3U, 3X
- NXP LPC1300, LPC1700, LPC1800
- ON Semiconductor Q32M210
- Silicon Labs Precision32
- Silicon Labs (Energy Micro) EFM32 Tiny, Gecko, Leopard, Giant
- STMicroelectronics STM32 F1, F2, L1
- Texas Instruments F28, LM3, TMS470, OMAP 4
- Toshiba TX03
Cortex-M4
- Microchip (Atmel) SAM 4L, 4N, 4S
- NXP (Freescale) Kinetis K, W2
Cortex-M4F
- Cypress 6200, FM4
- Infineon XMC4000
- Microchip (Atmel) SAM 4C, 4E, D5, E5, G5
- Microchip CEC1302
- Nordic nRF52
- NXP LPC4000, LPC4300
- NXP (Freescale) Kinetis K, V3, V4
- Renesas Synergy S3, S5, S7
- Silicon Labs (Energy Micro) EFM32 Wonder
- STMicroelectronics STM32 F3, F4, L4, L4+, WB
- Texas Instruments LM4F/TM4C, MSP432
- Toshiba TX04
Cortex-M7F
- Microchip (Atmel) SAM E7, S7, V7
- NXP (Freescale) Kinetis KV5x
- STMicroelectronics STM32 F7, H7
Cortex-M23
- Microchip (Atmel) SAM L10, L11
Real-time
microcontrollers
Cortex-R4F
- Texas Instruments RM4, TMS570
Cortex-R5F
- Scaleo OLEA
- Texas Instruments RM57
- Xilinx ZynqMP
Classic ARM-based chips
- ARM Holdings
- ARM architecture
- List of ARM cores
- ARM Cortex-A
- ARM Cortex-R
- ARM Cortex-M
- List of ARM Cortex-M development tools
Classic
processors
ARM7
- Atmel SAM7L, SAM7S, SAM7SE, SAM7X, SAM7XC, AT91CAP7, AT91M, AT91R
- NXP LPC2100, LPC2200, LPC2300, LPC2400, LH7
- STMicroelectronics STR7
ARM9
- Atmel SAM9G, SAM9M, SAM9N, SAM9R, SAM9X, SAM9XE, SAM926x, AT91CAP9
- Freescale i.MX1x, i.MX2x
- Rockchip RK27xx, RK28xx
- NXP LPC2900, LPC3000, LH7A
- ST-Ericsson Nomadik STn881x
- STMicroelectronics STR9
- Texas Instruments OMAP 1, AM1x
- VIA WonderMedia WM8505/8650
- ZiiLABS ZMS-05
ARM11
- Broadcom BCM2835
- Freescale i.MX3x
- Infotmic IMAPX210/220
- Mindspeed Comcerto 1000
- Nvidia Tegra APX, 6xx
- Qualcomm MSM7000, Snapdragon S1
- ST-Ericsson Nomadik STn882x
- Telechips TCC8902
- Texas Instruments OMAP 2
- VIA WonderMedia WM87x0
ARMv2a
compatible
ARMv4
compatible
- Faraday FA526, FA626
- DEC/Intel StrongARM
ARMv5TE
compatible
- Intel/Marvell XScale
- Marvell Sheeva, Feroceon, Jolteon, Mohawk
- Faraday FA606TE, FA616TE, FA626TE, FA726TE