SPRADO9 March   2025 AM62L

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Processor Core and Compute Benchmarks
    1. 2.1 Dhrystone
    2. 2.2 Whetstone
    3. 2.3 Linpack
    4. 2.4 NBench
    5. 2.5 CoreMark-Pro
    6. 2.6 Fast Fourier Transform
    7. 2.7 Cryptographic Benchmarks
  6. 3Memory System Benchmarks
    1. 3.1 Memory Bandwidth and Latency
      1. 3.1.1 LMBench
      2. 3.1.2 STREAM
    2. 3.2 Critical Memory Access Latency
    3. 3.3 UDMA: DDR to DDR Data Copy
  7. 4Summary
  8. 5References

Fast Fourier Transform

Fast Fourier Transform (FFT) is one of the most common signal processing algorithms. Table 2-6 shows a 1024-point single precision floating point complex FFT execution time on Arm-Cortex-A53. The benchmark on Arm-Cortex-A53 uses the implementation from Ne10 library, which leverages the Advanced SIMD or NEON acceleration of Cortex-A53. This library is not included in the SDK, but can be downloaded from the official Ne10 repository.

Table 2-6 NE10 CFFT Benchmark
Arm-Cortex-A53
at 1.25GHz (single thread / core)
1024-point Complex FFT execution time 37µs