Folding@Home PPD for the GeForce GT 1030 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 GT 1030 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.
Average of 500 most recent PPD samples.
All-time sample volume for this GPU profile.
Ranked 331 of 441 tracked GPUs.
Ranked 240 of 294 Nvidia GPUs.
|
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 | 66419 | 146,848 | 2.10 | 11 hrs 24 mins | 69,799 | 1,863,804,600 | 396 |
| Linux | 2464 | 93,596 | 2.71 | 8 hrs 51 mins | 34,528 | 864,000 | 30,282 |
| Windows | 63955 | 148,899 | 2.09 | 11 hrs 28 mins | 71,158 | 1,863,804,600 | 396 |
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.
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 GeForce GT 1030.
| Research | Percent |
|---|---|
| No Data For This Reporting Period. | |
| Research | Percent |
|---|---|
| No Data For This Reporting Period. | |
| Research | Percent |
|---|---|
|
ANTIBODY DYNAMICS SIMULATION |
26.89% |
|
IL 2 FORCE FIELD BENCHMARKING |
19.32% |
|
ENZYME DYNAMICS |
13.45% |
|
ANTIBODY DYNAMICS |
10.51% |
|
IL 2 RECEPTOR DYNAMICS |
9.29% |
|
ANTIBODY AFFINITY MATURATION |
8.8% |
|
PARKINSONS |
7.09% |
|
IL 2 DYNAMICS SIMULATIONS |
4.65% |
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 GeForce GT 1030.
This analysis helps better understand the relationship between research causes and PPD/Credit, highlighting any performance trends as clusters or anomalies as outliers.
Power consumption information for the GeForce GT 1030 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 |
|---|---|---|---|---|
| 30 W | 0.72 kWh | 118,763 | $0.07 | $0.842 |
Folding@Home compute projections for the GeForce GT 1030 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 | 85,509 | 1.35 | 0.72 kWh | $0.07 |
| Week | PPW | 598,563 | 9.43 | 5.04 kWh | $0.50 |
| Month | PPM | 2,600,898 | 40.97 | 21.90 kWh | $2.19 |
| Year | PPY | 31,210,785 | 491.59 | 262.80 kWh | $26.28 |
The following data is the average PPD values for GeForce GT 1030 project work units based on multiple samples collected via the use of our Folding@Home Web Client.
| PPD Rank |
Project ID |
Cause Research |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|
| 1 | 12111 | Peptide-Conformation-Modeling | 662,400 | 6,000 | 110.40 | 0 hrs 13 mins |
| 2 | 12110 | Peptide-Conformation-Modeling | 617,760 | 6,000 | 102.96 | 0 hrs 14 mins |
| 3 | 12112 | Peptide-Conformation-Modeling | 597,600 | 6,000 | 99.60 | 0 hrs 14 mins |
| 4 | 12704 | cancer | 334,835 | 68,448 | 4.89 | 4 hrs 54 mins |
| 5 | 12705 | cancer | 292,877 | 58,100 | 5.04 | 4 hrs 46 mins |
The following data is the average PPD values for GeForce GT 1030 project work units based on multiple samples collected via the use of our Folding@Home Web Client.
| PPD Rank |
Project ID |
Cause Research |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|
| 1 | 17943 | membrane transport | 15,492 | 9,825 | 1.58 | 15 hrs 13 mins |
| 2 | 14967 | Ste2-GPCR-Dynamics | 23,041 | 42,000 | 0.55 | 43 hrs 45 mins |
| 3 | 17925 | Sucrose-Transporter-AtSUC1 | 30,239 | 26,724 | 1.13 | 21 hrs 13 mins |
| 4 | 12120 | Peptide-Conformation-Modeling | 37,961 | 38,868 | 0.98 | 24 hrs 34 mins |
| 5 | 12259 | dud-e | 39,182 | 39,724 | 0.99 | 24 hrs 20 mins |
Upgrades made to database hardware and end of year message.
This platform thrives because of generous contributions from supporters like you.
Your donations help to cover costs of hosting and related hard costs enabling me to maintain and improve the tools and services that empower the Folding@Home community. While keeping the site advertisment free.
Join our mission to keep Folding.LAR.Systems running strong!
Every contribution, no matter the size, makes a difference.
Ruslan, Someone , David Record, Justaphf , Mikko, Someone, Someone, Derrick, Wise,am71, Someone, Kelvin J Evans, Neil S Rieck, DF1, Daiko, Jesan, Someone, Wiseman71, Someone, Someone, Bob Rion, BingChilling, Wiseman71, izibane, NAdoTEg, Anonymous, G Day, Randall Nichols, Zach, w6nik, Someone, Jesan, Louis, Someone, kwerpi, Kevin Pattison, Efthimios Alexiadis, Choco Cooper, Olivier Verly, Trent Michael Victor Kaiser, Daiko
Thank you for making this site possible and ad-free for everyone!
