Quadro P4000
FOLDING@HOME PPD PERFORMANCE

GPU FOLDING OVERVIEW

Folding@Home PPD for the Quadro P4000 represents the averages of folding work unit samples collected from a wide variety of users different computer hardware configurations.

Average values are used to best represent folding PPD performance of a Quadro P4000 across different F@H projects and user variables such as power settings, overclocks, operating system and specific work units which can yield wildly different highs and lows for PPD scores on the same GPU platform.

GPU PPD AVERAGE: ALL OS

926,028

Average of 500 most recent PPD samples

Data Samples: ALL OS

3,247

All Time

Stats as of Tuesday, 31 January 2023 00:03:31

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GP104GL [Quadro P4000] - Nvidia

DATA SAMPLES INFO
Filter applied, PPD samples all time
RECENT AVERAGE FOLDING PERFORMANCE
Based on the 500 most recent, 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 3211 914,662 3.28 7 hrs 19 mins 279,144 1,396,092 120,596
Windows 3211 914,662 3.28 7 hrs 19 mins 279,144 1,396,092 120,596

12 WEEK AVG PPD CHANGE VS. WORK UNITS AVAILABLE - Quadro P4000

GPU PPD average changes week to week for a number of reasons such as credit for type of projects/causes available, varience in work unit difficulty, OS/GPU drivers, folding cores, GPU models, clocks, power targets etc.

The chart below serves as a way to see historical week to week performance change as PPD for a GPU is never a constant, as the work units processed are always changing.


Recent Work Unit Research Type Allocations - Quadro P4000

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 P4000.

24 HOUR WU ALLOCATION

7 DAY WU ALLOCATION

12 WEEK WU ALLOCATION

Quadro P4000 kWh POWER CONSUMPTION & COST

Power consumption information for the Quadro P4000 is based on an average wattage taken from vendor information for the lowest and highest power draws for the GPU under folding@home compute loads.

Wattage information is only for the GPU and does not include the host computers power usage.

GPU Power Draw
Watts - TDP
Daily Power Usage
kWh
Points per
kWh
Daily Cost at $0.10
per kWh
Power Cost
per 1m Points
105 W 2.52 kWh 367,471 $0.25 $0.272

Quadro P4000 COMPUTE VS kWH USAGE DAY, MONTH, WEEK & YEAR

Folding@Home compute projections for the Quadro P4000 can be used to help inform long term point goals and related costs based on 24/7 usage.

Duration Nick Name
Points
Average
Work Units
Average
Power Usage
kWh
Power Cost
at $0.10 per kWh
Day PPD 926,028 3.34 2.52 kWh $0.25
Week PPW 6,482,196 23.39 17.64 kWh $1.76
Month PPM 28,166,685 101.65 76.65 kWh $7.67
Year PPY 338,000,220 1219.76 919.80 kWh $91.98

5 BEST PPD RESEARCH PROJECTS - Quadro P4000

The following data is the average PPD values for Quadro P4000 project work units based on multiple samples collected via the use of our Folding@Home dark mode web client.

PPD
Rank
Project
ID
Cause
Research
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 17258 covid-19 1,357,550 315,048 4.31 6 hrs 34 mins
2 17257 covid-19 1,228,963 299,802 4.10 6 hrs 51 mins
3 18201 alzheimers 1,191,686 273,370 4.36 6 hrs 30 mins
4 18500 parkinsons 1,074,439 284,912 3.77 6 hrs 22 mins
5 18432 biofilm 993,040 163,972 6.06 4 hrs 58 mins

5 LOWEST PPD RESEARCH PROJECTS - Quadro P4000

The following data is the average PPD values for Quadro P4000 project work units based on multiple samples collected via the use of our Folding@Home dark mode web client.

PPD
Rank
Project
ID
Cause
Research
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 16491 cancer 718,432 51,335 13.99 2 hrs 43 mins
2 18451 cancer 806,627 92,251 8.74 3 hrs 45 mins
3 17806 cancer 813,326 100,875 8.06 3 hrs 59 mins
4 17804 cancer 814,404 121,121 6.72 4 hrs 34 mins
5 18449 influenza 826,778 168,825 4.90 5 hrs 54 mins