ARM Cortex-A72 and Cortex-A76 are high-performance ARM processors
Categories

ARM Cortex-A72 vs Cortex-A76 Processors

Compare ARM Cortex-A72 vs Cortex-A76 processors. See performance, efficiency, and AI upgrades powering BLIIoT BL440 & BL450 AI edge gateways.
Sep 18th,2025 4950 Views

Both the ARM Cortex-A72 and Cortex-A76 are high-performance ARM processors. BLIIoT’s ARMxy Series AI Edge Computing Gateways adopt these architectures: the BL440 integrates the RK3576J industrial-grade SoC with quad-core Cortex-A72 + quad-core Cortex-A53, while the BL450 features the RK3588 with quad-core Cortex-A76 + quad-core Cortex-A55. The following comparison helps users quickly choose the right AI edge gateway.


1. Architecture Evolution

Dimension Cortex-A72 (2015) Cortex-A76 (2018)
Architecture ARMv8-A ARMv8.2-A
Design Target Performance-first Balanced performance & efficiency
Process Node 16/14nm FinFET 7nm FinFET

Iteration: Cortex-A76 achieves 35% higher performance at the same power, or 40% lower power at the same performance compared with Cortex-A72.


2. Microarchitecture

graph TB
A72[Cortex-A72
• 4-wide OoO execution
• 15-stage pipeline
• 2x128-bit NEON] -->|Evolution| A76[Cortex-A76
• 4-wide + Macro-op Fusion
• 13-stage pipeline
• 2x256-bit NEON]

Key Upgrades:

  • Decode: Macro-op fusion enables up to 5 instructions per cycle.

  • Execution: Floating-point throughput doubled (256-bit NEON).

  • Memory: L1D cache increased to 64KB (vs 32KB on A72).


3. Performance

Test Item A72 @2.5GHz A76 @2.8GHz Improvement
SPECint2006 11.8 16.5 +40%
Geekbench 5 SC 350 550 +57%
AI Inference (INT8) 12 TOPS 32 TOPS +167%

Measured Advantages:

  • +25% IPC at equal frequency (2.0GHz).

  • +30% memory bandwidth utilization.


4. Power Efficiency

Parameter A72 (16nm) A76 (7nm)
Typical Power 2.5W 1.8W
Perf/W Ratio 1.0x 2.2x
Leakage Power 80mW 35mW

7nm process: Doubles transistor density while cutting leakage.


5. Feature Extensions

Cortex-A76 adds:

  • ARMv8.2 ISA (FP16 + Dot Product support)

  • Machine learning acceleration (4× INT8 performance over A72)

  • Memory dependency predictor (−20% memory latency)

Retains:

  • AMBA ACE bus compatibility

  • Software ecosystem compatibility with Cortex-A72


6. Typical Applications

Application Cortex-A72 Examples A76 Upgrade Benefits
Edge Servers Rockchip RK3576 Rockchip RK3588
Autonomous Drive NVIDIA Drive PX2 Horizon Journey 3
Industrial Vision Keyence CV-X200 Cognex VisionPro

7. Chip Examples

  • Cortex-A72: Qualcomm Snapdragon 652 (4×A72), Rockchip RK3576 (4×A72 + 4×A53)

  • Cortex-A76: Qualcomm Snapdragon 855 (1×A76 + 3×A76 + 4×A55), Rockchip RK3588 (4×A76 + 4×A55)


8. Selection Guide

Choose Cortex-A72 when:
✓ Mature hardware design already exists
✓ Budget is limited (A76 chips cost 30–40% more)
✓ Only baseline ARMv8 features are needed

Upgrade to Cortex-A76 when:
✓ AI acceleration (INT8/Dot Product) is required
✓ Longer product lifecycle is important
✓ Support for LPDDR4X / PCIe 3.0 is needed


9. Market Status

  • Cortex-A72: Gradually phased out of consumer markets, still widely used in industrial systems.

  • Cortex-A76: Current mainstream in mid-to-high-end products, being replaced by Cortex-A78 / Cortex-A710.

Impact: Cortex-A76 was the first to bring desktop-class IPC to mobile devices, laying the foundation for Cortex-X1 and ARMv9 architectures.


👉 With BL440 (Cortex-A72) and BL450 (Cortex-A76), BLIIoT provides industrial users with flexible options to balance performance, power efficiency, and AI acceleration for edge computing applications.

Leave a message
FirstName*
LastName*
Email*
Message*
Code*
Verification Code
We use Cookie to improve your online experience. By continuing browsing this website, we assume you agree our use of Cookie.