I'm basing what I wrote on this, where I'm using single-precision (FP 32) performance as a general measure of GPU compute, since it eliminates optimization as a factor. Where specifically do you disagree with my numbers?
If anything, using this metric to assess M-series performance relative to NVIDIA seems fairly conservative, since it puts the M1 Ultra at the same level as the 3070 Ti, and I don't know of anyone who argues it's slower than that.
Specifically:
If:
a) The ratio of M2 Ultra: M1 Ultra GPU performance is the same as that of M2:M1
b) The M2 Extreme is 2 x M2 Ultra
c) These projections for the NVIDIA 4000 series are correct
Then:
The M2 Extreme's general GPU compute performance, as measured by FP 32 TFLOPS, should be about on the level of the 4080 Ti.
TFLOPS, SINGLE-PRECISION (FP 32)
M1: 2.6
M2: 3.6
M1 MAX: 10.4
M2 MAX: 14 (?) (EXTRAPOLATING FROM M2/M1 x M1 MAX)
4050: 14 (?) (entry-level, ~$250?)
M1 ULTRA: 21
3070 TI: 22
M2 ULTRA: 29 (?) (EXTRAPOLATING FROM M2/M1 x M1 ULTRA)
3080: 30
4060: 31 (?) (entry-level, ~$330?)
3080 TI: 34
3090: 36
3090 TI: 40
4070: 43 (?) (mid-level, ~$550?)
4080: 49 (?)
4080 TI: 56 (??) (EXTRAPOLATING FROM 4080 x 3080 TI/3080)
M2 EXTREME: 58 (?) (EXTRAPOLATING FROM 2 x M2 ULTRA)
4090: 83 (?)
4090 TI: 92 (??) (EXTRAPOLATING FROM 4090 x 3090 TI/3090)
M2 2X EXTREME: 116 (?)
Projections for the 4000-series are based on online articles like this one:
NVIDIA just unveiled the first of its next-generation GeForce graphics cards: RTX 4080 and RTX 4090. Card CUDA Cores VRAM Memory Interface TFLOPS MSRP RTX 4080 (12GB) 7680 12GB GDDR6X 192-bit 40 $899 RTX 4080 (16GB) 9728 16GB GDDR6X 256-bit 49 $1199 RTX 4090 16384 24GB GDDR6X 384-bit...
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