gptkbp:instance_of
|
gptkb:microprocessor
|
gptkbp:ai
|
gptkb:Yes
basic
|
gptkbp:application
|
gptkb:smart_home_devices
Mobile devices
AI, machine learning
|
gptkbp:architecture
|
gptkb:ARMv8.2-A
|
gptkbp:big._little
|
supported
|
gptkbp:big._littlearchitecture
|
yes
|
gptkbp:branch
|
yes
|
gptkbp:cache_size
|
gptkb:Harvard_architecture
yes
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:clock_speed
|
Up to 2.0 GHz
up to 2.0 GHz
|
gptkbp:compatibility
|
gptkb:ARM_ecosystem
gptkb:Linux
gptkb:Windows_on_ARM
gptkb:Android
|
gptkbp:connects
|
gptkb:AMBA_4_ACE
AMBA 5 CHI
|
gptkbp:debugging_support
|
gptkb:Core_Sight
yes
|
gptkbp:design_philosophy
|
energy-efficient computing
scalable performance
balance performance and power
|
gptkbp:design_purpose
|
Power efficiency
energy efficiency
high performance and efficiency
high efficiency
|
gptkbp:designed_by
|
gptkb:ARM
|
gptkbp:development_tools
|
gptkb:ARM_Development_Studio
gptkb:Keil_MDK
gptkb:GCC
gptkb:LLVM
|
gptkbp:ecological_role
|
strong
|
gptkbp:fuel_economy
|
gptkb:High
high
High efficiency
improved
very high
|
gptkbp:global_adoption
|
widespread
|
gptkbp:gpu
|
gptkb:Mali-G52
|
gptkbp:graphics
|
gptkb:Mali-G52
|
gptkbp:has_units
|
gptkb:Yes
yes
|
gptkbp:has_website
|
gptkb:virtual_reality
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:Yes
yes
supported
|
gptkbp:image_processing
|
supported
|
gptkbp:instruction_prefetch
|
yes
|
gptkbp:instruction_set
|
gptkb:ARMv8.2-A
gptkb:AArch64
ARM64
out-of-order execution
superscalar architecture
ARM instruction set
|
gptkbp:is_scalable
|
yes
|
gptkbp:low_power_cores
|
yes
|
gptkbp:manufacturer
|
Various semiconductor companies
|
gptkbp:manufacturing_process
|
10 nm
10nm
10nm to 7nm
|
gptkbp:market_launch
|
gptkb:2017
|
gptkbp:market_segment
|
gptkb:smartphone
Tablets
Embedded systems
Automotive applications
mobile computing
Mid-range smartphones
|
gptkbp:market_share
|
high
|
gptkbp:memory_type
|
Unified memory architecture
DDR4, LPDDR4
|
gptkbp:neural_processing
|
yes
|
gptkbp:number_of_cores
|
yes
up to 8
Up to 8 cores
1 to 8 cores
|
gptkbp:out_of_order_execution
|
no
|
gptkbp:performance
|
gptkb:SPEC_CPU_2017
Energy efficient
varies by implementation
over previous generations
up to 2.0 GHz
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:provides_support_for
|
gptkb:LLVM
|
gptkbp:release_year
|
gptkb:2017
|
gptkbp:released_in
|
gptkb:2017
|
gptkbp:security_features
|
gptkb:Trust_Zone
|
gptkbp:simtype
|
NEON
|
gptkbp:successor
|
gptkb:ARM_Cortex-A65
gptkb:ARM_Cortex-A76
gptkb:Cortex-A65
|
gptkbp:support
|
64-bit computing
64-bit processing
multi-core processing
heterogeneous computing
32-bit processing
|
gptkbp:target_market
|
gptkb:mobile_devices
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:Yes
yes
supported
|
gptkbp:bfsParent
|
gptkb:Exynos_850
gptkb:Unisoc_SC9863_A
gptkb:ARM_chipsets
gptkb:ARM_Cortex-A53
gptkb:ARM_Cortex-A510
|
gptkbp:bfsLayer
|
6
|