I don't run Windows, so no GPU-z. the specs are basically as others have reported.
(96 SMs \ 6144 cores \ 32GB VRAM \ 32MB L2 cache)
This system:
Xeon E5-2697Av4 16c/32t, 64GB DDR4-2400
Asus X99-E WS 10G (PCIe gen 3.0x16)
Ubuntu 24.04, 6.12 mainline kernel, Nvidia 550.135 driver
I don't really run much AI stuff. but I did run
this benchmark to actually stress the card. 240 TFLops in this highly specific test. but it puts it about 33% better than a RTX4090 in absolute best case AI performance.
I think the most I saw was ~440W. the card probably never throttles until it hits some temp limit. I was a little worried about not being able to power limit the card, but since the clocks are locked at just 1260MHz anyway, it doesnt seem to matter on all of the things i'm actually doing.
BOINC performance:
GPUGRID ATMML (MPS@40%, 3x tasks) - 20M ppd - 155W
GPUGRID Quantum Chemistry - TBD
Einstein BRP7 (custom optimized app, MPS@40%, 3x tasks) - 3.0M ppd - 235W
Einstein O3AS (v1.15 app, MPS@40%, 3x tasks) - 2.8M ppd - 225W
Minecraft@home (no MPS, 1x task) - 1.0M ppd - 95W
ran some Primegrid numbers, but honestly their OpenCL apps aren't well suited for this card. it's not "slow" just kind of middle of the road performance. might be decent efficiency though with low-ish power draw. Primegrid apps love a lot of cores and a lot of L2 cache, that's where the 40-series (and probably 50-series) shines.
Primegrid:
AP27 (no MPS, 1x) - 1.5M ppd - 175W
GFN17 (no MPS, 1x) - 230K ppd - 114W
GFN19 (no MPS, 1x) - 488K ppd - 180W