MinerstatMinerstat

AMD Ryzen 7 5700X

CPU

Mejor moneda

ETI

Mejor beneficio

$0.37/ día7d median $0.39 · $0.32 to $0.60

Mejor hashrate

10.3 kH/sRandomX

Consumo

65 W

Calculadora de beneficios

Tu precio de electricidad y tu flota frente a las monedas más rentables hoy para este equipo.

* A 0,08 $/kWh. Ajústalo en la calculadora de minería.

Sensibilidad a la electricidad

Lo que gana este equipo a cada precio de la electricidad, eligiendo de nuevo la mejor moneda en cada tramo.

ETIbreak-even $0.319$0$0.13$0.25$0.38$0.50$0.50/day$0
electricity price, $/kWh
  • $0.03/kWh

    $0.45

    ETI
  • $0.05/kWh

    $0.42

    ETI
  • $0.06/kWh

    $0.40

    ETI
  • $0.08/kWh

    $0.37

    ETI
  • $0.10/kWh

    $0.34

    ETI
  • $0.12/kWh

    $0.31

    ETI

Worth switching?

Etica is currently 34.9% more profitable than Monero on this device, and has been ahead for 23 h 53 min.

XMR$0.28/dayETI$0.37/dayMedium confidence · 65/100

Switching has its own costs (downtime, payout thresholds, pool minimums). This compares gross mining economics only. See what the estimate does not model.

Rendimiento por algoritmo

Hashrate y consumo medidos; estas cifras alimentan todos los beneficios del sitio.

AlgoritmoHashrateConsumoEficienciaActualizado
RandomX10.3 kH/s65 W158.5 H/s/W2026-11-01

Preguntas frecuentes sobre el AMD Ryzen 7 5700X

What hashrate does the AMD Ryzen 7 5700X reach?

The Ryzen 7 5700X reaches 10.3 kH/s on RandomX at around 65 W.

How much can the AMD Ryzen 7 5700X earn per day?

At current network conditions the Ryzen 7 5700X earns about $0.50 per day mining ETI, for $0.37 of profit at $0.08/kWh. Use the calculator above for your own electricity price.

Is the AMD Ryzen 7 5700X still worth it?

Mining stays profitable with the Ryzen 7 5700X as long as your electricity costs less than $0.32 per kWh at today's rates.

Which coins can the AMD Ryzen 7 5700X mine?

The most profitable options today are ETI, XMR, Multi — the full ranking is in the profit calculator above.

Benchmarks actualizados 34 min agoMethodology