RandomX (CPU Only): Monero (only valid if CPU specs used)– H/s
Note: These are theoretical estimates based on hardware specs. Actual hash rates vary due to thermal throttling, overclocking, mining software efficiency, and power limits.
Understanding Computer Hash Rate
When you decide to use your computer for cryptocurrency mining, the most critical metric is the Hash Rate. This measures the computational power your hardware contributes to the network. It represents the number of guesses (hashes) your computer can make per second in an attempt to solve the cryptographic puzzle required to validate a block.
Unlike a loan calculator or a simple math tool, calculating a hash rate isn't purely arithmetic; it depends heavily on the specific architecture of your hardware (GPU or CPU) and the algorithm you are mining.
How This Calculator Works
This tool estimates your potential hash rate by analyzing two main bottlenecks in computer hardware:
Compute Power (FLOPS): Derived from your Core Count and Clock Speed. This determines performance for algorithms that rely heavily on mathematical operations, like KawPow or RandomX.
Memory Bandwidth: Derived from Memory Clock, Bus Width, and Memory Type. This is the limiting factor for "Memory Hard" algorithms like Ethash (used by Ethereum Classic) or Autolykos.
Key Inputs Explained
Core/Shader Count: For NVIDIA cards, these are CUDA cores. For AMD, these are Stream Processors. A higher count usually means higher raw calculation speed.
Core Clock: The speed at which the processor runs. While higher is better, memory-intensive algorithms often perform better if you lower the core clock to save power/heat.
Memory Bus Width: The width of the "highway" connecting your memory to the processor. A 256-bit bus can move data twice as fast as a 128-bit bus at the same speed.
Units of Measurement
Hash rate is measured in Hashes per Second (H/s). Because computers are fast, we use prefixes:
kH/s: Kilohashes (Thousands) – Common for older CPUs.
MH/s: Megahashes (Millions) – Common for GPUs mining ETH/ETC/RVN.
GH/s: Gigahashes (Billions) – Common for ASIC miners or massive farms.
TH/s: Terahashes (Trillions) – Common for Bitcoin ASICs.
Optimizing Your Hash Rate
To get the "Real" hash rate calculated above, miners often perform "Overclocking". This involves:
Undervolting: Reducing voltage to lower heat and power consumption without losing performance.
Memory Overclocking: Increasing memory frequency to boost bandwidth (crucial for Ethash).
Core Tuning: Adjusting core clock based on the specific algorithm requirements.
function calculateHashRate() {
// 1. Get Elements
var coreCountInput = document.getElementById("coreCount");
var coreClockInput = document.getElementById("coreClock");
var opsInput = document.getElementById("opsPerCycle");
var memClockInput = document.getElementById("memClock");
var busWidthInput = document.getElementById("busWidth");
var memTypeInput = document.getElementById("memTypeMultiplier");
var resultDiv = document.getElementById("results");
var errorMsg = document.getElementById("errorMsg");
// 2. Parse Values
var cores = parseFloat(coreCountInput.value);
var coreClock = parseFloat(coreClockInput.value);
var opsPerCycle = parseFloat(opsInput.value);
var memClock = parseFloat(memClockInput.value);
var busWidth = parseFloat(busWidthInput.value);
var memMultiplier = parseFloat(memTypeInput.value);
// 3. Validation
if (isNaN(cores) || isNaN(coreClock) || isNaN(memClock) || isNaN(busWidth)) {
errorMsg.style.display = "block";
resultDiv.style.display = "none";
return;
}
errorMsg.style.display = "none";
// 4. Calculations
// — TFLOPS Calculation —
// Formula: Cores * Clock(MHz) * Ops/Cycle / 1,000,000
var tflops = (cores * coreClock * opsPerCycle) / 1000000;
// — Memory Bandwidth Calculation (GB/s) —
// Formula: (Memory Clock * Multiplier * (Bus Width / 8)) / 1000
// Note: Effective Clock is usually MemClock * Multiplier.
// Bandwidth = EffectiveClock(MHz) * BusWidth(bits) / 8(bits per byte) / 1000(M to G)
// However, input logic: Users often input the number they see in GPU-Z.
// If user puts 1750 MHz for GDDR6, effective is 14000 MHz.
// Let's assume input is base/real clock, and we use multiplier.
var effectiveMemClock = memClock * memMultiplier;
var bandwidth = (effectiveMemClock * (busWidth / 8)) / 1000;
// — Estimated Hashrates —
// Ethash (Memory Hard):
// Efficiency varies, but roughly 0.65 to 0.8 MH/s per GB/s of bandwidth is a common approximation for optimized cards.
// Let's use 0.75 as a safe average for standard tuning.
var ethashRate = bandwidth * 0.75;
// KawPow (Core Heavy + Memory):
// Dependent on TFLOPS heavily but also bandwidth.
// Rough approximation: TFLOPS * 2.1 = MH/s (This varies wildly, strictly an estimate)
var kawpowRate = tflops * 2.3;
// RandomX (CPU):
// Only valid if the user entered CPU specs.
// Approx: Cores * 500 (Very rough average for modern CPUs per core, ignoring cache latency).
// Let's flag this visually.
var randomXRate = cores * 600;
// 5. Update DOM
document.getElementById("resFlops").innerText = tflops.toFixed(3) + " TFLOPS";
document.getElementById("resBandwidth").innerText = bandwidth.toFixed(1) + " GB/s";
document.getElementById("resEthash").innerText = ethashRate.toFixed(2) + " MH/s";
document.getElementById("resKawpow").innerText = kawpowRate.toFixed(2) + " MH/s";
// Logic for RandomX display format
if(randomXRate > 1000) {
document.getElementById("resRandomX").innerText = (randomXRate/1000).toFixed(2) + " kH/s";
} else {
document.getElementById("resRandomX").innerText = randomXRate.toFixed(0) + " H/s";
}
resultDiv.style.display = "block";
}