QuoteHere, the GPU performance is comparable to powerful versions of the Nvidia GeForce RTX 5070
Clicking on "Steel Nomad Score", Spark only 12% faster than the 5060 Laptop (Legion 7 16 AGP11) and 4-9% faster than the Radeon 8060S in "Cyberpunk 2077 / Ultra Preset (FSR off)", which checks out considering the ~300 GB/s (could be lower in this particular device, depending on the LPDDR5X MT/s used) (vs Strix Halo's 256 GB/s) memory speed.
Spark N1X: 301 GB/s = 256-bit * 9400 MT/s (assumed) / 1000 / 8.
QuoteLocal AI powerhouse. [..] The new chips are designed for AI workloads, [..]
PS: For AI, AMD's Gorgon Halo, a Strix Halo rename/refresh with software-patched support from up to 128 to up to 192 GB unified memory/RAM, at a similar bandwidth, is an alternative (NVIDIA's CUDA is not required for end-user inferencing tasks (maybe there are special cases, I don't know)); if you want to fine-tune or even train AI models (which would may be slow on these ~300 GB/s )), CUDA is the standard, but it doesn't mean that it can't be done on AMD hardware) for those who require more than 128 GB unified memory/RAM.
Gorgon Halo: 273 GB/s = 256-bit * 8533 MT/s / 1000 / 8.
I wish these (256-bit) APUs had double the unified memory (to 256 GB) and double to quadrupled the memory speed, to be really interesting. Of course, price is another issue too, but first, the specs need to double (and no, I'm not buying 2 of these).
AI bang for buck performance alternativeFor more AI bang for buck performance and upgradable parts, get a consumer desktop PC 96 to 128 GB RAM (a consumer desktop PC uses 128-bit memory interface (aka dual-channel) and the RAM's MT/s is typically between 5600-6200 MT/s, which equals to ~96 GB/s (vs Spark's ~300 GB/s), but the GPU(s) will make up for it (see calculation below) (32 GB VRAM at ~1800 GB/s, when running 2 5070 Ti (each at ~900 GB/s) in tensor parallel) + 1 GPU (at lest like a 5070 Ti (16 GB VRAM at 900 GB/s, it will have much faster prompt processing and you will have 128+16 GB of total memory) (a 5080 24 GB VRAM is rumored to be released in 2027 Q1)) or may get a motherboard that supports bifurcation (geizhals.eu/?cat=mainboards&xf=2833_AMD+AM5~2873_ab+2&pagesize=30&promode=true) and get 2 GPUs of the same GPU architecture and run them in tensor parallel mode, which will double the VRAM memory in size and speed (reddit.com/r/LocalLLaMa/search/?q=tensor parallel).
Let's calculate our arbitrary AI score (memory size times memory speed):
N1X Spark: 38400 = 128 GB unified memory * 300 GB/s.
Desktop PC build using two 5070 Ti and running them in tensor parallel: 69888 = 128 GB * 96 GB/s + 32 GB VRAM * 1800 GB/s.
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