RGminer v1.1.6

RGminer v1.1.6

14 нояб. 2026 г.

Highlights / Основные изменения

English

Pearl / Pearlhash

  • SM86 — RTX 30 series, CMP 70HX / 90HX: hashrate +0.53%, energy efficiency +6.45%.
  • SM89 — RTX 40 series: hashrate +0.35%, power consumption −2.77%, energy efficiency +3.21%.
  • SM120 — RTX 50 series: power consumption −6%.
  • SM75 — RTX 20 series, CMP 40HX / 50HX: the new --kernel 2 is selected by default. Power consumption is 12% lower at a 3-4% higher core clock, with unchanged hashrate on 405 MHz memory.

Startup and autotuning

  • Fixed startup issues on older drivers and some hardware configurations.
  • Fixed autotuning bugs, improving tuning stability.
  • Added a reboot notification during the farm tune process "[RG] GPU is hungry, rebooting the system" for Hive Os

Web

Windows

  • Fixed Windows unlock installation bugs.
  • Fixed Windows miner binary startup bugs.
Русский

Pearl / Pearlhash

  • SM86 — RTX 3000, CMP 70HX / 90HX: хешрейт +0,53%, энергоэффективность +6,45%.
  • SM89 — RTX 4000: хешрейт +0,35%, потребление −2,77%, энергоэффективность +3,21%.
  • SM120 — RTX 5000: потребление −6%.
  • SM75 — GTX 16xx / RTX 2000, CMP 40HX / 50HX: новое ядро --kernel 2 выбрано по умолчанию. При повышении частоты ядра на 4% потребление снижено на 12%, хешрейт остаётся прежним на частоте 405 MHz.

Запуск и автотюн

  • Исправлены ошибки запуска на старых драйверах и некоторых конфигурациях оборудования.
  • Исправлены баги автотюна — подбор настроек стал стабильнее.
  • Добавлено уведомление о перезагрузке во время процесса настройки фермы "[RG] GPU is hung, rebooting the system" для Hive Os

Веб

Windows

  • Исправлены ошибки установки Windows unlock.
  • Исправлены ошибки запуска Windows-бинарника майнера.

HiveOS

Pearl
{
  "isFavorite": false,
  "items": [
    {
      "coin": "pearl",
      "pool_ssl": false,
      "dpool_ssl": false,
      "miner": "custom",
      "miner_alt": "rgminer-1.1.6",
      "miner_config": {
        "url": "YOUR_POOL",
        "algo": "pearlhash",
        "miner": "rgminer-1.1.6",
        "template": "%WAL%.%WORKER_NAME%",
        "install_url": "https://github.com/Printscan/rgminer/releases/download/v1.1.6/rgminer-1.1.6-hiveos.tar.gz"
      },
      "pool_geo": []
    }
  ]
}
Quantus
{
  "isFavorite": false,
  "items": [
    {
      "coin": "quantus",
      "pool_ssl": false,
      "dpool_ssl": false,
      "miner": "custom",
      "miner_alt": "rgminer-1.1.6",
      "miner_config": {
        "url": "YOUR_POOL",
        "algo": "quantus",
        "miner": "rgminer-1.1.6",
        "template": "%WAL%.%WORKER_NAME%",
        "install_url": "https://github.com/Printscan/rgminer/releases/download/v1.1.6/rgminer-1.1.6-hiveos.tar.gz"
      },
      "pool_geo": []
    }
  ]
}
Nock-ZK
{
  "isFavorite": false,
  "items": [
    {
      "coin": "pearl",
      "pool_ssl": false,
      "dpool_ssl": false,
      "miner": "custom",
      "miner_alt": "rgminer-1.1.6",
      "miner_config": {
        "url": "YOUR_POOL",
        "algo": "zkpow",
        "miner": "rgminer-1.1.6",
        "template": "%WAL%.%WORKER_NAME%",
        "install_url": "https://github.com/Printscan/rgminer/releases/download/v1.1.6/rgminer-1.1.6-hiveos.tar.gz"
      },
      "pool_geo": []
    }
  ]
}
NOID
{
  "isFavorite": false,
  "items": [
    {
      "coin": "noid",
      "pool_ssl": false,
      "dpool_ssl": false,
      "miner": "custom",
      "miner_alt": "rgminer-1.1.6",
      "miner_config": {
        "url": "YOUR_POOL",
        "algo": "noid",
        "miner": "rgminer-1.1.6",
        "template": "%WAL%.%WORKER_NAME%",
        "install_url": "https://github.com/Printscan/rgminer/releases/download/v1.1.6/rgminer-1.1.6-hiveos.tar.gz"
      },
      "pool_geo": []
    }
  ]
}

Performance / Производительность

Pearl
GPU Hashrate, TH/s Power, W Core Offset Core, MHz Memory, MHz Mem offset Efficiency, TH/s/W
Tesla V100-SXM2-16GB ≈37.85 215† — 1350 405 — ≈0.176
CMP 40HX ≈52.91 ≈108.08–113.33 255 1716 405 — ≈0.467–0.490
RTX 2080 ≈76.50 ≈139.59–146.28 135 1716 405 — ≈0.530–0.556
CMP 50HX ≈91.26 ≈168.43–176.60 255 1716 405 — ≈0.517–0.542
CMP 70HX ≈56.50 ≈104.57–105.54 255 1650 405 — ≈0.535–0.540
RTX 3060 Ti ≈63.89 ≈78.14–81.93 255 1650 405 — ≈0.780–0.818
RTX 3070m ≈67.35 ≈74.63–78.24 255 1650 405 — ≈0.861–0.902
RTX 3070 ≈77.42 ≈92.45–96.93 255 1650 405 — ≈0.799–0.837
CMP 90HX ≈83.73 ≈103.92–114.00 300 1650 405 — ≈0.735–0.806
RTX 3080 Ti ≈134.44 ≈164.44–172.42 255 1650 405 — ≈0.780–0.818
RTX 3090 ≈137.36 ≈175.59–184.11 255 1650 405 — ≈0.746–0.782
CMP 170HX ≈210.74 ≈224.83–242.29 300 1455 600 — ≈0.870–0.937
RTX 4070 Ti ≈150.12 ≈114.41–121.67 345 2445 405 — ≈1.234–1.312
RTX 4090 ≈318.81 ≈260.41–273.05 315 2445 405 — ≈1.168–1.224
RTX 5070 Ti ≈173.91 ≈133.17–139.63 499 2445 405 — ≈1.246–1.306
Quantus
GPU Hashrate, MH/s Power, W Core Offset Core, MHz Memory, MHz Mem offset Efficiency, MH/s/W
P104-100 49.06† 87.94† 150 1650 — -2000 0.558†
CMP 100-100 68.44† 189.7† — 1455 837 — 0.361†
GTX 1660 Super ≈158.25 55.36† 150 1650 405 — ≈2.858
GTX 1660 Ti ≈172.69 56.19† 150 1650 405 — ≈3.073
RTX 2060 ≈215.43 80.20† 210 1650 405 — ≈2.686
RTX 2070 ≈256.03 93.74† 200 1650 405 — ≈2.731
RTX 2080 ≈328.26 120.80† 115 1650 405 — ≈2.717
CMP 50HX ≈401.02 119.11† 250 1650 405 — ≈2.371
RTX 3060 Ti ≈279.35 85.00† 300 1650 405 — ≈3.286
RTX 3070m ≈294.15 67.00† 250 1650 405 — ≈4.390
RTX 3070 ≈337.94 90.26† 300 1650 405 — ≈3.744
RTX 3080 ≈496.31 144.24† 300 1650 405 — ≈3.441
RTX 3080 Ti ≈581.55 166.57† 300 1650 405 — ≈3.491
CMP 90HX ≈366.74 165.99† 300 1650 405 — ≈2.209
CMP 170HX ≈461.52 141.78† 210 1450 600 — ≈3.072
RTX 4070 Ti ≈652.92 138.03† 300 2460 405 — ≈4.730
RTX 4090 ≈1393.95 294.11† 315 2460 405 — ≈4.740
RTX 5070 Ti ≈753.90 154† 499 2460 405 — ≈4.895
Nock-ZK
GPU Hashrate, MH/s Power, W Core Offset Core, MHz Memory, MHz Mem offset Efficiency, MH/s/W
RTX 2080 24.65† 155.13† 115 1650 5000 0 0.159†
CMP 50HX 29.18† 198.63† 250 1650 5000 0 0.147†
RTX 3060 Ti 20.33† 124.64† 300 1650 5000 0 0.163†
RTX 3070m 21.42† 76.09† 250 1650 5000 0 0.282†
RTX 3070 24.62† 129.90† 300 1650 5000 0 0.190†
RTX 3080 Ti 42.83† 236.61† 300 1650 5000 0 0.181†
CMP 90HX 26.62† 176.31† 300 1650 — -2000 0.151†
RTX 4070 Ti 47.33† 148.45† 300 2460 5000 0 0.319†
RTX 4090 100.07† 304.23† 315 2460 5000 0 0.329†
RTX 5070 Ti 61.86† 191.16† 499 2460 5000 0 0.324†
CMP 170HX 34.01 150 — 1450 800 — 0.227
NOID
GPU Hashrate, MH/s Power, W Core Offset Core, MHz Memory, MHz Mem offset Efficiency, MH/s/W
RTX 3070m 40.234 72.23 — 1650 405 — 0.557
RTX 4070 Ti 92.4 147 — 2460 405 — 0.629
RTX 5080 139.45 225.67 — 2647 405 — 0.618
RTX 2080 18.31 110 — 1650 405 — 0.166
CMP 170HX 97.5 140 — 1450 600 — 0.696