|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:bfsLayer
|
4
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|
gptkbp:bfsParent
|
gptkb:ARM_Cortex-A53
|
|
gptkbp:application
|
gptkb:computer
Mobile devices
AI, machine learning
|
|
gptkbp:architectural_style
|
AR Mv8.2-A
|
|
gptkbp:cache_size
|
gptkb:Harvard_architecture
gptkb:battle
64 bytes
Unified cache
multi-level cache
L1 and L2 cache
up to 1 MB L2 cache
up to 512 KB L2 cache
up to 256 KB L2
L1: 64 KB, L2: 256 KB
|
|
gptkbp:connects
|
gptkb:AMBA_4_ACE
AMBA 5 CHI
|
|
gptkbp:design
|
Power efficiency
energy efficiency
high performance and efficiency
energy-efficient computing
high efficiency
scalable performance
balance performance and power
|
|
gptkbp:designed_by
|
gptkb:CEO
|
|
gptkbp:developer
|
gptkb:ARM_Development_Studio
gptkb:Keil_MDK
gptkb:GCC
gptkb:DJ
|
|
gptkbp:ecological_role
|
strong
|
|
gptkbp:fuel_capacity
|
gptkb:High
high
High efficiency
improved
very high
|
|
gptkbp:global_presence
|
widespread
|
|
gptkbp:gpu
|
gptkb:Mali-G52
|
|
gptkbp:graphics
|
gptkb:Mali-G52
|
|
gptkbp:has_website
|
gptkb:musician
gptkb:Internet_of_Things_(Io_T)
Augmented reality
AI and machine learning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ARM Cortex-A55
|
|
gptkbp:hyper_threading
|
gptkb:battle
supported
|
|
gptkbp:image
|
supported
|
|
gptkbp:intelligence
|
gptkb:battle
basic
|
|
gptkbp:involved_units
|
gptkb:battle
|
|
gptkbp:is_compatible_with
|
gptkb:ARM_ecosystem
gptkb:operating_system
gptkb:Windows_on_ARM
|
|
gptkbp:is_scalable
|
gptkb:battle
|
|
gptkbp:language_of_instruction
|
gptkb:battle
out-of-order execution
superscalar architecture
ARM instruction set
A Arch64
AR M64
AR Mv8.2-A
|
|
gptkbp:manufacturer
|
Various semiconductor companies
|
|
gptkbp:market
|
gptkb:2017
high
|
|
gptkbp:market_segment
|
gptkb:smartphone
Tablets
Embedded systems
Automotive applications
mobile computing
Mid-range smartphones
|
|
gptkbp:number_of_cores
|
gptkb:battle
up to 8
Up to 8 cores
1 to 8 cores
|
|
gptkbp:order
|
gptkb:battle
|
|
gptkbp:performance
|
Energy efficient
varies by implementation
over previous generations
SPECCPU 2017
up to 2.0 G Hz
up to 20% better than Cortex-A53
10% over Cortex-A53
compared to Cortex-A53
Improved over Cortex-A53
|
|
gptkbp:power_consumption
|
dynamic frequency scaling
Very High
|
|
gptkbp:produced_by
|
10 nm
10nm
10nm to 7nm
|
|
gptkbp:ram
|
Unified memory architecture
DD R4, LPDD R4
|
|
gptkbp:release_year
|
gptkb:2017
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:security_features
|
gptkb:Trust_Zone
|
|
gptkbp:service_branch
|
gptkb:battle
|
|
gptkbp:simtype
|
NEON
|
|
gptkbp:size
|
gptkb:battle
supported
|
|
gptkbp:speed
|
up to 2.0 G Hz
Up to 2.0 G Hz
|
|
gptkbp:successor
|
gptkb:ARM_Cortex-A65
gptkb:ARM_Cortex-A76
gptkb:Cortex-A65
|
|
gptkbp:supports
|
gptkb:DJ
gptkb:Core_Sight
gptkb:battle
64-bit computing
64-bit processing
multi-core processing
heterogeneous computing
32-bit processing
|
|
gptkbp:target_market
|
gptkb:smartphone
Mobile devices
|
|
gptkbp:thermal_design_power
|
varies by implementation
up to 2.0 W
up to 3 W
Up to 1.0 W
|
|
gptkbp:use_case
|
efficient computing
|
|
gptkbp:used_in
|
gptkb:Io_T_devices
gptkb:smartphone
embedded systems
tablets
|
|
gptkbp:uses
|
gptkb:big._LITTLE_architecture
|
|
gptkbp:virtualization_support
|
gptkb:battle
supported
|
|
gptkbp:vocalization
|
gptkb:battle
|