Understanding GPU Hash Rate
GPU hash rate shows how many guesses a graphics card can make each second. A higher rate can raise expected rewards. It does not guarantee profit. Mining also depends on network difficulty, coin price, pool fees, power draw, and uptime.
Why This Calculator Matters
A rig can look strong on paper. Real results often fall after rejected shares, pool fees, unstable clocks, heat, and downtime. This calculator includes those losses. It separates raw speed from effective speed. That helps you see what the rig may actually deliver.
Hash Rate and Power
Power cost is one of the largest mining expenses. A card with a lower hash rate may still be better if it uses less electricity. Efficiency is measured by speed per watt. Better efficiency usually means lower heat, lower noise, and longer hardware life.
Reward Estimate
Mining rewards are probability based. The calculator uses difficulty, block reward, and block time to estimate expected coins per day. It assumes steady network conditions. Live markets can change quickly. Treat the estimate as planning guidance, not a fixed promise.
Fees, Rejects, and Uptime
Pools charge a fee for organized mining. Stale or rejected shares reduce accepted work. Uptime shows how long the rig runs during a day. A small change in any value can affect revenue. Advanced miners review these inputs often.
Using the Results
Start with conservative settings. Enter the measured hash rate from your miner, not an advertised number. Add real wall power if possible. Include pool fee and stale rate from your dashboard. Then compare different tuning profiles.
Good Mining Decisions
A useful mining plan balances speed, cost, and risk. The best setup is not always the fastest setup. It is the setup with stable returns after expenses. Use the CSV export for spreadsheet checks. Use the PDF export for simple records. Recalculate when price, difficulty, or power cost changes.
Common Planning Mistakes
Do not compare cards by speed alone. Check power at the wall. Watch memory temperatures. Keep a margin for maintenance. Record every change before judging results. Short tests can mislead. Longer averages are safer. Recheck assumptions whenever difficulty rises or rewards fall sharply. Stable data makes tuning choices easier for each rig.