GPU section GPU tools and references

Quadro RTX 4000 Mobile / Max-Q
FOLDING@HOME PPD PERFORMANCE

GPU profile

Performance snapshot

Current averages, ranks, sample depth, and data freshness.

Folding@Home identifier TU104GLM [Quadro RTX 4000 Mobile / Max-Q]
New / volatile
Most recent sample Aug 2, 2026 Most recent update seen for this GPU profile.
All-OS average
2,301,438
Average PPD from submitted samples
Linux average
Not enough data
Linux-only samples
Windows average
2,301,438
Windows-only samples
Work unit samples
7
All-time profile volume
Overall rank
#104
441 GPUs tracked
Brand rank
#87
294 Nvidia GPUs
Sampled performance breakdown

Folding Statistics TU104GLM [Quadro RTX 4000 Mobile / Max-Q] - Nvidia

DATA SAMPLES INFO
Filter applied, PPD samples all time
AVERAGE FOLDING PERFORMANCE
Based on ALL available PPD samples by filter
WORK UNIT PPD RECORDS
All Time
OS FILTER SAMPLES PPD WU Per 24hrs Time Per WU Points Per WU BEST PPD WORST PPD
All OS AVG 7 2,301,438 47.64 0 hrs 30 mins 48,308 2,450,369 2,115,046
Windows 7 2,301,438 47.64 0 hrs 30 mins 48,308 2,450,369 2,115,046
Track this hardware live

Profile your Quadro RTX 4000 Mobile / Max-Q in our V8 Web Client

Launch the LAR.SYSTEMS V8 Web Client to monitor live work-unit activity, compare your machine with community benchmarks, and contribute real samples that keep public rankings and hardware insights current for the Folding@Home community.

First and most recent work-unit sample contributors
Sample Folder Team Platform Seen
Most recent WU sample ThunderCat1 LinusTechTips_Team Windows GPU 5 months ago
First seen ThunderCat1 LinusTechTips_Team Windows GPU 5 months ago
Recent GPU performance

12-week performance at a glance

Use the range, net change, and latest average as a quick signal—not a final judgment on the GPU.

View detailed chart
How to read this
  • Weekly movement can reflect project mix, available work units, drivers, or operating systems rather than a lasting hardware change.
  • Use the detailed chart to compare operating systems and work-unit availability across the full period.
Latest weekly average
Not enough data

Recent Work Unit Performance - Quadro RTX 4000 Mobile / Max-Q

Average PPD is impacted by the types of research work units being done as they return different amounts of points and take different amounts of time.

The following shows the work unit allocation of research causes to better understand changes in PPD over time for the Quadro RTX 4000 Mobile / Max-Q.

No work unit data recorded for the Quadro RTX 4000 Mobile / Max-Q in the past 12 weeks.

Data is provided in legacy mode until new work units are folded using our web client.

Recent Work Unit Performance Clusters - Quadro RTX 4000 Mobile / Max-Q

The following visualization illustrates the PPD / Credit allocation of work units across different research causes, providing insight into how PPD varies by work unit PPD samples for the Quadro RTX 4000 Mobile / Max-Q.

This analysis helps better understand the relationship between research causes and PPD/Credit, highlighting any performance trends as clusters or anomalies as outliers.

Project work-unit sample cluster chart.
Reading the averages

Why your PPD may differ

PPD is a guide, not a fixed result. Daily output changes with the work-unit mix, including project, points, atom count, and deadline, as well as system conditions such as OS, drivers, clocks, thermals, and power limits.

Compare the five highest and lowest sampled project averages for Quadro RTX 4000 Mobile / Max-Q using community samples collected through the LAR.SYSTEMS V8 Web Client.

Highest sampled PPD

PPD
Rank
Project
ID
Cause
Research
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
118267Antibody-Affinity-Maturation2,424,32369,31534.980 hrs 41 mins
218281IL-2-Receptor-Dynamics2,137,59220,300105.300 hrs 14 mins

Lowest sampled PPD

PPD
Rank
Project
ID
Cause
Research
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
118281IL-2-Receptor-Dynamics2,137,59220,300105.300 hrs 14 mins
218267Antibody-Affinity-Maturation2,424,32369,31534.980 hrs 41 mins