⚡ 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.