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RTX 5080 Advantages vs RTX4080.

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Apr 13, 2017
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System Name AMD System
Processor Ryzen 7900 at 180Watts 5650 MHz, vdroop from 1.37V to 1.24V
Motherboard MSI MAG x670 Tomahawk Wifi
Cooling AIO240 for CPU, Wraith Prism's Fan for RAM but suspended above it without touching anything in case.
Memory 32GB dual channel Gskill DDR6000CL30 tuned for CL28, at 1.42Volts
Video Card(s) Msi Ventus 2x Rtx 4070 and Gigabyte Gaming Oc Rtx 4060 ti
Storage Samsung Evo 970
Display(s) Old 1080p 60FPS Samsung
Case Normal atx
Audio Device(s) Dunno
Power Supply 1200Watts
Mouse wireless & quiet
Keyboard wireless & quiet
VR HMD No
Software Windows 11
Benchmark Scores 1750 points in cinebench 2024 42k 43k gpu cpu points in timespy 50+ teraflops total compute power.
2x number of integer pipelines per cuda core:
  • A lot better decompression performance
  • Slight boost in raster
  • Boost in game logic (when parallelized to run in gpu instead of cpu)
  • Those games/apps that are not using integer at all will make gpu frequency boost to 3500MHz.
Much better tensor core performance:
  • DLSS4 performance
  • Professional work with training / inference
  • Some image processing that uses matrix multiplication
Nice memory bandwidth boost:
  • Nearly everything benefits, games, render farms, mining, etc.
  • Higher gpu overclock scaling
PCie v5.0:
  • 2x bandwidth to move data between RAM and VRAM
Some games can do this in future:
  • Copy 1GB texture through pcie v5 in 15 milliseconds
  • Decompress to 2GB in 4 milliseconds
  • Use the extra 2GB decompressed texture on top of other 16GB used earlier
  • 19 milliseconds overhead per frame for 18GB VRAM usage as 16 + 2, at 50 FPS if decompression overlaps with rendering of an earlier frame with similar latency.
There's also bigger RT core performance which can be used for computing collisions between rays and objects where rays are velocity vectors of objects, to calculate car collisions much faster than BeamNG does.
 
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