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.
Arm Cortex-A76 CPU
Architecture | Armv8-A (Harvard) | |
Extensions |
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ISA support |
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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) |
Compare the specifications of Cortex-A Armv7-A and Armv8-A processors:
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.