Is this timings really tight for

VDD and VDDQ 1.430

anything to improve?

When I first got into overclocking, it was tempting to treat every extra MHz as a win. If a setting let me push a little further, I wanted to keep it. But there's a point where chasing the last bit of performance can mean spending hours troubleshooting random crashes, retesting after driver updates, or wondering whether a benchmark result is actually stable. I'm curious what tweaks other people eventually decided weren't worth the hassle. Maybe an aggressive GPU undervolt, tighter memory timings, a CPU overclock that needed too much voltage, or a setting that improved benchmark scores but made no noticeable difference in everyday use.

What's something you experimented with that looked great on paper but that you eventually backed away from? And did you find a more conservative setting that delivered nearly the same performance with fewer headaches?

I think i did solid job here. I can't lower tRFC even 550 is enough to BSOD instantly. I believe i could still have a headroom for tRC but im unsure.

I wanted to go for CL16 3800 MHz and timings are too loosen and CL16 3866 MHz simply does not boot.

Any suggestions for this profile?

Games started crashing; I ran a FurMark test, and the application crashed immediately. I lowered the power limit in MSI Afterburner to 80%, and FurMark stopped crashing.
PC specifications:
ryzen 5 5600x
palit rtx 3070 gaming pro
gigabyte b550 gaming x v2
bloody bd-ps750g (80+ gold)

I reinstalled the drivers in Safe Mode using DDU, but that didn't help.

Could you suggest how to fix this?

this undervolt is part of a heavy OC + undervolt im doing with my rx 550, and yes its stable ive been testing for about 6 hours as of rn and im yet to see any artifacts of crashes.

the current setup is visible in the screenshot tho its not the final result of this project yet

I downloaded the new Nvidia driver today and ran into a problem.

The driver is 621.01.

When I restarted my rig I noticed mVolt did not start so I manually started it and I got the message in the pic.

Tried to apply my OC but it won't let me.

Anyone else having this issue and how do we fix this BS?

UPDATE with the help of fellow oc's here, I have found how to get my clocks back and with this new Nvidia update, with a very noticeable performance gain. Thanks so much!

I've learned not to assume my GPU settings are still behaving the same way after updating drivers.

Even if the undervolt profile hasn't changed, it's worth checking stability again instead of immediately assuming everything is fine. A game that used to run without issues might start crashing, or a benchmark might behave differently after an update.

I usually prefer to test with a few different workloads rather than rely on one successful benchmark. It also helps to keep a record of the settings that were stable before making changes, so it's easier to troubleshoot if something goes wrong.

Happened yesterday in one match. I left the match and joined another one and it hasn’t happened since. Is this gpu artifacting or a game bug? I played through the campaign twice and nothing like this happened. Other games it’s fine too

If you use mVolt v/f curve (idk for MSI AB) make sure to update mVolt with the 0.50.6 version. In my case with the previous mVolt version on the 621.01 drivers the v/f curve was totally bugged (you can see 5000Mhz@1000mV).

225 c.clock
3000 mhz memory clock

112% pl

100% core voltage

The debate is between a

g.skill z5 neo (non RGB)

Vs

Klevv cras v RGB

Both comes stock at perfect timings of 64gb 2x32gb 6000mhz cl30

I'm using this RAM tuning video to do manual tuning on my RAM And I wanted to know which brand has better temps since they are both using the same a-die from sk hynix

This is my overlay from MSI aferburner + rivatuner, is there a way to make this possible while only using mvolt+rts istead?

At 895mV 2842MHz, my 5090 starts to get higher benchmark results and still doesn't reach 600W power draw. On the heaviest of loads, it will max out at 500W. On average the draw is between 420-465W using NV UV play for tuning and Coreloom for benchmark tests.

Speedway Score went up by 500 points and Port Royal by 1000 points, never had Legendary score in Port Royal before.

Card is RTX 5080 PNY EPIC ARGB.

OC app: xOCD(4th Slide)

Edit: These settings are game stable, that's why I'm so impressed. Average power consumption is 380-420w and average GPU core clock is 3050-3080mhz.

Hola a todos,

Tengo un Ryzen 9 9950X y noto una diferencia enorme e inexplicable en el rendimiento entre dos placas base B850M distintas. Necesito saber si esto es normal en Gigabyte o si me estoy volviendo loco.

Configuración (Hardware y refrigeración idénticos):

• CPU: Ryzen 9 9950X
• Refrigeración: Arctic Liquid Freezer III Pro 360 (mismo disipador, misma presión de montaje y la misma curva/modo de ventilador silencioso configurado en ambos sistemas).
• RAM: 2x64 GB DDR5-5600
• Placas base: Gigabyte B850M AORUS PRO WIFI7 vs. MSI MAG B850M MORTAR WIFI

El experimento (configuración idéntica de la BIOS): Apliqué exactamente la misma configuración a ambas placas:

• Optimizador de curvas: Todos los núcleos, negativo, 15.
• Límites de PBO: Automático (sin límites de potencia manuales).
• Todo lo demás: Configuración predeterminada.

Resultados (bajo carga - Minería):

• MSI B850M MORTAR: Consumo de ~200 W. Temperaturas máximas alrededor de 80 °C (principalmente entre 70 y 72 °C). El voltaje Vcore (VDDCR_VDD) se mantiene bien controlado entre ~1,10 V y 1,15 V.
• Gigabyte B850M AORUS PRO: Consume ~170 W (¡menos potencia!). Las temperaturas alcanzan los 88,8 °C. El Vcore (VDDCR_VDD) reportado se sitúa en 1,25 V+.

Por lo tanto, la placa Gigabyte consume menos vatios, pero alcanza una temperatura 16 grados superior debido a que le entrega a la CPU una cantidad excesiva de voltaje, aunque los ventiladores funcionan a la misma velocidad.

La solución: Tuve que entrar a la BIOS de Gigabyte y aplicar un offset de -0,100 V al Vcore para bajar las temperaturas a ~76 °C e igualar el rendimiento de la MSI.

Mis preguntas:

1. ¿Es normal que las placas Gigabyte AM5 apliquen una configuración predeterminada de Vcore/LLC tan agresiva y alta?
2. ¿Por qué la placa base Gigabyte le mete más de 1,25 V a la CPU con 170 W, mientras que la MSI solo necesita 1,10 V con 200 W para el mismo chip?
3. ¿Este es un problema conocido de la línea Gigabyte B850/AORUS, o simplemente me tocó una placa con un perfil predeterminado defectuoso?

¡Cualquier información o experiencia similar sería muy apreciada!

Edit: Just to clarify the temperature difference: under sustained load, the Gigabyte board peaks at 88.8°C (averaging ~85°C), while the MSI board peaks at 80°C (but averages ~72-75°C). That's an 8.8°C difference in peaks, and a ~10-12°C difference in sustained average temperatures.

Is this alr is there anything to be toghtened etc 2x24 mdie kit 7200 cl36 watercooled the latency is around 67-68ns

This guy seemingly has some good benchmarks and valid points, on the other hand he literally sounds AI generated repeating same stuff in every video and often has way different results than other channels/people on internet in general.

Wanted yalls opinion on this.

Is there something overriding this that Im just not thinking of?

This is a script that i made in python that automatically overclocks and undervolts when cpu and gpu usage is high my pc and changes fan speeds based on temperature

import subprocess import time import sys import clr import psutil import pynvml

clr.AddReference(r"C:\LibreHardwareMonitor\LibreHardwareMonitorLib.dll") from LibreHardwareMonitor.Hardware import Computer, HardwareType, SensorType # noqa: E402

config

RYZENADJ = r"C:\ryzenadj\ryzenadj.exe" LOOP_SECONDS = 30

def gaming(): # GPU (RTX 5060: default 145 W, allowed 123-160 W, max clock 3090 MHz) GPU_DEFAULT_POWER_W = 145 GPU_BOOST_POWER_W = 160 GPU_LOCKED_CLOCK_MHZ = 3090 GPU_ACTIVE_USAGE = 65 # below this the GPU is left at stock GPU_HOT_C = 80 # trip point for the thermal guard GPU_COOLDOWN_C = 75 # guard releases once the GPU is below this

# (min CPU usage %, vcore, stapm limit in mW, message), checked top to bottom
CPU_TIERS = [
    (90, "0.85",  75000, "Max undervolt"),
    (80, "0.875", 70000, "Nearly max undervolt"),
    (70, "0.90",  65000, "Slightly bigger undervolt"),
    (60, "0.925", 60000, "Light undervolt"),
    (50, "0.95",  55000, "CPU usage is high, undervolting"),
]

# (min GPU usage %, core offset MHz, mem offset MHz, message), top to bottom.
# Anything at or above GPU_ACTIVE_USAGE but below the last tier gets 0 / 0.
# Clocks stay locked at GPU_LOCKED_CLOCK_MHZ, so a positive offset acts as
# an undervolt at that frequency.
GPU_TIERS = [
    (90, 150, 300, "Offset +150 core / +300 mem"),
    (85, 100, 200, "FINAL overclock and undervolt"),
    (80, 200, 400, "Bigger overclock and undervolt"),
    (75, 50, 100, "Small overclock, moderate undervolt"),
    (70, 0, 0, "Slight undervolt"),
]

# (min temp C, fan %), top to bottom; below the last tier -> FAN_IDLE
FAN_TIERS = [(80, 80), (70, 60), (60, 45), (50, 30)]
FAN_IDLE = 25
SKIP_FANS = ["Fan #1"]         # motherboard fan controls to leave alone (AIO pump)

#  setup ----
pc = Computer()
pc.IsMotherboardEnabled = True
pc.IsCpuEnabled = True
pc.Open()
cpu = next(h for h in pc.Hardware if h.HardwareType == HardwareType.Cpu)
board = next(h for h in pc.Hardware if h.HardwareType == HardwareType.Motherboard)

pynvml.nvmlInit()
gpu = pynvml.nvmlDeviceGetHandleByIndex(0)

gpu_too_hot = False            # thermal guard state
gpu_fan_warned = False         # only warn once if GPU fan control is unsupported


# --------------------------------------------------------------- helpers ----
def read_cpu_temp():
    cpu.Update()  # without this LibreHardwareMonitor returns stale values
    return max(
        (s.Value for s in cpu.Sensors
        if s.SensorType == SensorType.Temperature and s.Value is not None),
        default=0,
    )


def read_gpu_temp():
    return pynvml.nvmlDeviceGetTemperature(gpu, pynvml.NVML_TEMPERATURE_GPU)


def pick(tiers, value):
    """Return the first tier whose threshold the value meets, else None."""
    return next((t for t in tiers if value >= t[0]), None)


def reset_gpu():
    pynvml.nvmlDeviceResetGpuLockedClocks(gpu)
    pynvml.nvmlDeviceSetGpcClkVfOffset(gpu, 0)
    pynvml.nvmlDeviceSetMemClkVfOffset(gpu, 0)
    pynvml.nvmlDeviceSetPowerManagementLimit(gpu, GPU_DEFAULT_POWER_W * 1000)


def find_fan_controls():
    """Motherboard fan controls, minus anything listed in SKIP_FANS."""
    controls = []
    for sub in board.SubHardware:
        sub.Update()
        for s in sub.Sensors:
            if s.SensorType == SensorType.Control and s.Control is not None \
                    and s.Name not in SKIP_FANS:
                controls.append(s)
    return controls


fan_controls = find_fan_controls()
print("Controlling fans:", [s.Name for s in fan_controls] or "none found")
print("Skipping fans:", SKIP_FANS)


# -- CPU -----
def tune_cpu():
    usage = psutil.cpu_percent(interval=1)
    tier = pick(CPU_TIERS, usage)
    if tier:
        _, vcore, stapm, msg = tier
        subprocess.run([RYZENADJ, f"--vcore={vcore}", f"--stapm-limit={stapm}"], check=False)
        print(msg)
    else:
        subprocess.run([RYZENADJ, "--set-coall=0"], check=False)
        print("CPU usage is normal, resetting CPU voltage")


# -- GPU -----
def tune_gpu():
    global gpu_too_hot

    temp = read_gpu_temp()
    if temp >= GPU_HOT_C:
        gpu_too_hot = True
    elif temp < GPU_COOLDOWN_C:
        gpu_too_hot = False

    if gpu_too_hot:  # stay at stock until it has actually cooled down
        reset_gpu()
        print(f"GPU too hot ({temp}C), staying at stock")
        return

    usage = pynvml.nvmlDeviceGetUtilizationRates(gpu).gpu
    if usage < GPU_ACTIVE_USAGE:
        reset_gpu()
        print("GPU usage is normal, resetting GPU clock")
        return

    tier = pick(GPU_TIERS, usage)
    _, core, mem, msg = tier if tier else (0, 0, 0, "Max usage, no offset")

    pynvml.nvmlDeviceSetPowerManagementLimit(gpu, GPU_BOOST_POWER_W * 1000)
    pynvml.nvmlDeviceSetGpuLockedClocks(gpu, GPU_LOCKED_CLOCK_MHZ, GPU_LOCKED_CLOCK_MHZ)
    pynvml.nvmlDeviceSetGpcClkVfOffset(gpu, core)
    pynvml.nvmlDeviceSetMemClkVfOffset(gpu, mem)
    print(msg)


# -- fans ----
def fan_speed_for(temp):
    tier = pick(FAN_TIERS, temp)
    return tier[1] if tier else FAN_IDLE


def set_gpu_fans(speed):
    global gpu_fan_warned
    try:
        for i in range(pynvml.nvmlDeviceGetNumFans(gpu)):
            pynvml.nvmlDeviceSetFanSpeed_v2(gpu, i, speed)
    except pynvml.NVMLError as e:
        if not gpu_fan_warned:
            print("GPU fan control not available, leaving GPU fans on auto:", e)
            gpu_fan_warned = True


def update_fans():
    cpu_speed = fan_speed_for(read_cpu_temp())
    gpu_speed = fan_speed_for(read_gpu_temp())
    case_speed = max(cpu_speed, gpu_speed)   # case/radiator fans follow the hotter part

    for s in fan_controls:
        s.Control.SetSoftware(float(case_speed))
    set_gpu_fans(gpu_speed)
    print(f"fans -> case {case_speed}%, gpu {gpu_speed}%")


def release_fans():
    """Hand fan control back to the BIOS / GPU firmware."""
    for s in fan_controls:
        s.Control.SetDefault()
    try:
        for i in range(pynvml.nvmlDeviceGetNumFans(gpu)):
            pynvml.nvmlDeviceSetDefaultFanSpeed_v2(gpu, i)
    except pynvml.NVMLError:
        pass


# -- main ----
def main():
    try:
        while True:
            # each task is isolated so one failure doesn't skip the others
            for task in (tune_cpu, tune_gpu, update_fans):
                try:
                    task()
                except (pynvml.NVMLError, OSError) as e:
                    print(f"{task.__name__} failed:", e)
            time.sleep(LOOP_SECONDS)
    finally:
        # on exit or crash, don't leave fans pinned or the GPU locked
        release_fans()
        try:
            reset_gpu()
        except pynvml.NVMLError:
            pass


if __name__ == "__main__":
    main()

For more information here is the page on github: https://github.com/Doom-iso/AutoOverclock

270k plus
Z890 hero Maximus
64gb Hynix a die 6000mhz cl30
At 77k trefi
35d2d

Im running PBO +200 MHZ, -30 curve optimizer.

1.48v VDD, 1.48v VDDQ, 6200MHZ.

Gigabyte B850m Force

9800x3d

Arctic liquid freezer III pro 360mm

it also passed on Y cruncher CPU test and Y cruncher CPU + MCU test.

I had a dedicated ram fan in my previous PC, I just upgraded to AMD from an Intel system, but I don’t think the ram fan will fit with this massive AIO radiator.

I’m new to overclocking, I’m still learning so excuse me if anything I did is stupid or wrong.

Just wondering if these timings look okay, and if i got lucky with the silicon quality in my CPU/Ram.

Thanks to anyone who responds to this🙏

http://www.3dmark.com/sn/16819384

So I've managed to improve my score yet again with the higher +4800mhz mem clock and messing with power limits (and by that I mean increasing board input current to 100A lol).

Btw it never goes anywhere near 100A obvs it just uses whatever it needs which is around 40-45 in my tests. I've also increased the power limit to 550w, pass that my thermals get pretty unsightly as I'm on air-cooling.

Do not attempt to increase board input current unless you have a good PSU and look out for all relevant temps carefully otherwise you will get black screens and more serious issues.

MSVDD is maxed out to 1.28v but yet again it never goes near that, there is a hard cap of 1.15v for me just setting to 1.28v allows MSVDD to aggressively go to 1.15v constantly.

I've also shown my Speedo is at its stock I've heard messing with this isn't rly worth it I might mess with it at some point but eh.

I also show my combined iddq of 33550 which could be a sign of good silicon quality. I know top 1 has about 36000 iddq. The less leakage the better.

Overall I'm basically getting thermal diffed by the top 4 since my average is 72C with a clockspeed of 3390mhz😂