GeForce GTX 1060 3GB
FOLDING@HOME PPD PERFORMANCE

GPU FOLDING OVERVIEW

Folding@Home PPD for the GeForce GTX 1060 3GB 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 1060 3GB 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

630,520

Average of 500 most recent PPD samples

Data Samples: ALL OS

24,325

All Time

Stats as of Sunday, 02 October 2022 12:04:16

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GP106 [GeForce GTX 1060 3GB] 3935 - 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 24325 630,520 2.79 9 hrs 37 mins 226,368 2,500,374 841
Linux 3034 824,539 5.78 4 hrs 9 mins 142,677 1,811,436 236,650
Windows 21218 630,520 2.79 9 hrs 37 mins 226,368 2,500,374 841

12 WEEK AVG PPD CHANGE VS. WORK UNITS AVAILABLE - GeForce GTX 1060 3GB

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 1060 3GB

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 1060 3GB.

GeForce GTX 1060 3GB kWh POWER CONSUMPTION & COST

Power consumption information for the GeForce GTX 1060 3GB 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
120 W 2.88 kWh 218,931 $0.29 $0.457

GeForce GTX 1060 3GB COMPUTE VS kWH USAGE DAY, MONTH, WEEK & YEAR

Folding@Home compute projections for the GeForce GTX 1060 3GB 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 630,520 2.79 2.88 kWh $0.29
Week PPW 4,413,640 19.50 20.16 kWh $2.02
Month PPM 19,178,316 84.72 87.60 kWh $8.76
Year PPY 230,139,800 1016.66 1051.20 kWh $105.12

5 BEST PPD RESEARCH PROJECTS - GeForce GTX 1060 3GB

The following data is the average PPD values for GeForce GTX 1060 3GB 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 13461 covid-19 1,050,503 18,846 55.74 0 hrs 26 mins
2 13434 covid-19 943,633 318,314 2.96 8 hrs 6 mins
3 13435 covid-19 904,299 311,986 2.90 8 hrs 17 mins
4 18019 cancer 793,949 358,975 2.21 11 hrs 51 mins
5 18025 cancer 776,832 202,558 3.84 6 hrs 15 mins

5 LOWEST PPD RESEARCH PROJECTS - GeForce GTX 1060 3GB

The following data is the average PPD values for GeForce GTX 1060 3GB 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 17730 cancer 108,814 32,241 3.38 7 hrs 7 mins
2 13463 covid-19 156,503 10,050 15.57 2 hrs 32 mins
3 14937 cancer 222,657 26,270 8.48 3 hrs 50 mins
4 16607 covid-19 321,492 167,541 1.92 13 hrs 30 mins
5 17708 parkinsons 329,342 60,351 5.46 4 hrs 24 mins