cezanne
FOLDING@HOME PPD PERFORMANCE

GPU FOLDING OVERVIEW

Folding@Home PPD for the cezanne 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 cezanne 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

0

Average of 0 most recent PPD samples

Data Samples: ALL OS

0

All Time

Stats as of Monday, 20 March 2023 12:11:04

TRY OUR BETTER F@H WEB CLIENT

Get more details on your GPU and CPU PPD in real-time, save money with folding time of use scheduling. Available for chrome, edge, brave and other chromium browsers.

Cezanne - AMD

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

Recent Work Unit Research Type Allocations - cezanne

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 cezanne.

5 BEST PPD RESEARCH PROJECTS - cezanne

The following data is the average PPD values for cezanne 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

5 LOWEST PPD RESEARCH PROJECTS - cezanne

The following data is the average PPD values for cezanne 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