SPRACV1B February   2022  – January 2024 AM2434 , AM6411 , AM6412 , AM6421 , AM6441 , AM6442

 

  1.   Abstract
  2.   2
  3.   Trademarks
  4. 1Introduction
  5. 2Processor Core Benchmarks
    1. 2.1 Dhrystone
    2. 2.2 Trigonometric Functions
  6. 3Compute and Memory System Benchmarks
    1. 3.1 Memory Bandwidth and Latency
      1. 3.1.1 LMBench
      2. 3.1.2 STREAM
      3. 3.1.3 Cortex-R5 Memory Access Latency
    2. 3.2 CoreMark®-Pro
    3. 3.3 Fast Fourier Transform
    4. 3.4 Cryptographic Benchmarks
  7. 4Application Benchmarks
    1. 4.1 Machine Learning Inference
    2. 4.2 Field Oriented Control (FOC) Loop
    3. 4.3 PCIE to DDR Performance Using BCDMA
      1. 4.3.1 Test Setup
      2. 4.3.2 Result and Observation
    4. 4.4 DDR to DDR Performance Using BCDMA
      1. 4.4.1 Test Setup
      2. 4.4.2 Result and Observation
  8. 5References
  9. 6Revision History

3.3 Fast Fourier Transform

Fast Fourier Transform (FFT) is a multiply accumulate heavy building block in many applications. Below table shows a 1024-point single precision floating point complex FFT execution time. The Arm Cortex-A53 benchmark uses the implementation from Ne10 library which leverages the Advanced SIMD or NEON acceleration of Cortex A53.

1024pt float CFFT execution time (single thread / core)
Arm Cortex-A53 (1GHz) 27 microseconds
Arm Cortex-R5 (800MHz) 134 microseconds