Specifications

The Arm Cortex-A76 CPU delivers laptop-class performance with smartphone efficiency, bringing the same experience to all classes of intelligent mobile compute devices.

The second generation premium core built on DynamIQ technology. Paired with a Cortex-A55 CPU in a scalable DynamIQ big.LITTLE configuration, Cortex-A76 delivers laptop-class performance with mobile efficiency, bringing the mobile experience (fast responsiveness, always on, always connected) into all classes of intelligent mobile compute devices. With superior energy efficiency and far greater single-threaded performance, Cortex-A76 CPU extends battery life and improves user experience for sustained high performance across even the most complex compute tasks.

Information on Cortex-A76.

Arm Cortex-A76 CPU

Architecture Armv8-A (Harvard)  
Extensions
  • Armv8.1 extensions
  • Armv8.2 extensions
  • Cryptography extensions
  • RAS extensions
  • Armv8.3 (LDAPR instructions only)
ISA support
  • A64
  • A32 and T32 (at the EL0 only)
  
Microarchitecture Pipeline Out-of-order
Superscalar Yes
Neon / Floating Point Unit Included
Cryptography Unit Optional
Max number of CPUs in cluster Four (4)
Physical addressing (PA) 40-bit
Memory system and external interfaces L1 I-Cache / D-Cache 64KB
L2 Cache 128KB to 512KB
L3 Cache Optional, 512KB to 4MB
ECC Support Yes
LPAE Yes
Bus interfaces AMBA ACE or CHI
ACP Optional
Peripheral Port Optional
Other Functional Safety Support ASIL D systematic
Security TrustZone
Interrupts GIC interface, GICv4
Generic timer Armv8-A
PMU PMUv3
Debug Armv8-A (plus Armv8.2-A extensions)
CoreSight CoreSightv3
Embedded Trace Macrocell ETMv4.2 (instruction trace)

Arm Security Algorithm Accelerators

Download the hardware block:

Cortex-A76_Security_Algorithm_Accelerator.tar.gz 581 KB

Key benefits

  • Better experience, user responsiveness, new ML/AI applications and virtual experiences.
  • Brings the always-on functionality of mobile to large screen devices, extending battery life for longer experiences.
  • 4x performance for inference ML at the edge.

Key features compared to Cortex-A75

  • 40% better power efficiency.
  • 35% improved performance.