⚡ Performance and Efficiency Benchmarks

This section reports the performance on NPU with FastFlowLM (FLM).

Note:

  • Results are based on FastFlowLM v1.0.13 (pre-release build).
  • Under FLM’s default NPU power mode (Performance)
  • Newer versions may deliver improved performance.
  • Prefill and decode speeds are the median of 3 runs, taken from the server’s own timing, with a different prompt for every run so the prefix cache cannot help.

Test System:

AMD Ryzen™ AI Max+ (Strix Halo) with 128 GB DRAM; performance is comparable to other Strix Halo systems.


🚀 Decoding Speed (TPS, or Tokens per Second, starting @ different context lengths)

Model HW 1k 2k 4k 8k 16k
Hy-Memory-30B-A3B XDNA2 19.3 18.4 16.9 14.5 11.4

🚀 Prefill Speed (TPS, or Tokens per Second, with different prompt lengths)

Model HW 1k 2k 4k 8k 16k
Hy-Memory-30B-A3B XDNA2 181 249 259 223 192

Time to first token: 5.4 s at 1k, 15.7 s at 4k, 37 s at 8k, 83 s at 16k.