GeForce GTX 1650 SUPER
FOLDING@HOME PPD PERFORMANCE

GPU FOLDING OVERVIEW

Folding@Home PPD for the GeForce GTX 1650 SUPER 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 GeForce GTX 1650 SUPER 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

579,193

Average of 500 most recent PPD samples

Data Samples: ALL OS

10,002

All Time

Stats as of Sunday, 02 October 2022 12:04:26

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TU116 [GeForce GTX 1650 SUPER] - 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 10002 579,193 2.37 10 hrs 9 mins 244,798 6,372,489 635
Linux 606 597,143 3.37 7 hrs 8 mins 177,414 6,372,489 247,121
Windows 9396 623,546 2.96 8 hrs 7 mins 210,929 1,161,242 635

12 WEEK AVG PPD CHANGE VS. WORK UNITS AVAILABLE - GeForce GTX 1650 SUPER

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.


12 WEEK RESEARCH CAUSE ALLOCATION - GeForce GTX 1650 SUPER

Average PPD is impacted by the types of research work units being done. The following shows the work unit allocation of causes being worked on in the past 12 weeks for the GeForce GTX 1650 SUPER.

GeForce GTX 1650 SUPER kWh POWER CONSUMPTION & COST

Power consumption information for the GeForce GTX 1650 SUPER 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
100 W 2.40 kWh 241,330 $0.24 $0.414

GeForce GTX 1650 SUPER COMPUTE VS kWH USAGE DAY, MONTH, WEEK & YEAR

Folding@Home compute projections for the GeForce GTX 1650 SUPER 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 579,193 2.37 2.40 kWh $0.24
Week PPW 4,054,351 16.56 16.80 kWh $1.68
Month PPM 17,617,120 71.97 73.00 kWh $7.30
Year PPY 211,405,445 863.59 876.00 kWh $87.60

5 BEST PPD RESEARCH PROJECTS - GeForce GTX 1650 SUPER

The following data is the average PPD values for GeForce GTX 1650 SUPER 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 17712 unspecified 929,512 64,518 14.41 2 hrs 40 mins
2 17728 cancer 904,588 55,666 16.25 1 hrs 29 mins
3 17714 unspecified 894,858 63,622 14.07 2 hrs 42 mins
4 14924 diabetes 882,703 70,137 12.59 2 hrs 54 mins
5 14922 diabetes 858,406 69,535 12.34 2 hrs 57 mins

5 LOWEST PPD RESEARCH PROJECTS - GeForce GTX 1650 SUPER

The following data is the average PPD values for GeForce GTX 1650 SUPER 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 17705 parkinsons 645 13,350 0.05 497 hrs 45 mins
2 17706 parkinsons 233,969 26,051 8.98 3 hrs 40 mins
3 17802 cancer 289,008 64,558 4.48 5 hrs 22 mins
4 14913 diabetes 301,512 28,789 10.47 2 hrs 17 mins
5 17324 covid-19 356,499 69,902 5.10 5 hrs 42 mins