too much time cost for compute FFT on Esp32-C3

[blacknull]

Here's my code for fft, with 256 samples, 8000Hz sampling frequence

`
unsigned long timeLoop = 0;
void loop() {
mbegin = micros();

// Compute FFT
FFT.DCRemoval();
FFT.Windowing(FFT_WIN_TYP_HAMMING, FFT_FORWARD);
FFT.Compute(FFT_FORWARD);
FFT.ComplexToMagnitude();

timeLoop = (micros() - mbegin + timeLoop) / 2; // moving average value
if (countLoop % 100 == 0) {
USB_SERIAL.println("runFFT cost: " + String(timeLoop) + " micro seconds");
}
}
`

it works fine on esp8266(160MHz), cost 20ms and 10ms on esp32.
but on esp32-c3:
runFFT cost: 115538 micro seconds
runFFT cost: 115510 micro seconds
runFFT cost: 115474 micro seconds
runFFT cost: 115286 micro seconds
runFFT cost: 114535 micro seconds

that's unacceptable...
the code is the same, don't know what's wrong with it, anybody can help?
thanks.

[kosme]

I have noticed that the library behaves erratically on ESP32 boards when running at max frequency. The workaround I found is reducing the clock frequency to the second-highest one.

[blacknull]

thanks for your reply.
I'm sorry for not make myself clear.
the code works fine on esp8266 and esp32.
but on esp32-c3 which has a risc-v 160Mhz cpu, is 10 times slow than esp32.
I switched the cpu from 160MHz to 120Mhz and 80Mhz, nothing going better but worse.
the function FFT.Compute(FFT_FORWARD) cost most of time.
When I looked into the code in FFT.Compute(), it seemed only sqrt() has heavy duty.
so I run a test for 100 times sqrt(), it took 615us only, not guilty.
then what's going wrong?
thanks.

[HorstBaerbel]

Try the develop branch.

[kosme]

@blacknull Is the issue still present on the newer versions?

[kosme]

Since you mention that other esp32 boards work correctly, I would think that this is likely a hardware/esp core problem. As I asked previously, is the issue still present?

[softhack007]

on esp32-c3 which has a risc-v 160Mhz cpu, is 10 times slow than esp32.

@blacknull I think what you see is normal behaviour, as -C3 is very slow especially when doing floating point math.

We are using ArduinoFFT inside WLED audioreactive; our performance comparisons point into the same direction as what you observed.

Our explanation is: esp32 (the "classic" one) and ESP32-S3 both have an FPU (floating point hardware acceleration), while ESP32-S2 and esp32-C3 lack FPU and have to use a software emulation which is slow.

The performance drop between esp32 -> esp32-S2 is about 6x, and another 2x drop when using ESP32-C3.

Btw, we are using the develop branch which allows us to perform everything in float instead of double -> 8x faster!

For a forward FFT with 512 samples, we typically see these execution times:

• classic esp32, and esp32-S3: 2-3ms
• esp32-S2: 12-16ms
• esp32-c3: 26-32ms