⚡ Performance and Efficiency Benchmarks
This section reports the performance of Qwen 3.6 on NPU with FastFlowLM (FLM).
Note:
- Results are based on FastFlowLM v0.9.45.
- Under FLM’s default NPU power mode (Performance)
- Newer versions may deliver improved performance.
- Fine-tuned models show performance comparable to their base models.
Test System 1:
AMD Ryzen™ AI 7 350 (Kraken Point) with 96 GB DRAM; performance is comparable to other Kraken Point systems.
🚀 Decoding Speed (TPS, or Tokens per Second, starting @ different context lengths)
| Model | HW | 1k | 2k | 4k | 8k | 16k | 32k |
|---|---|---|---|---|---|---|---|
| Qwen3.6-35B-A3B | NPU (FLM) | 17.48 | 17.16 | 16.59 | 15.6 | 13.76 | 11.19 |
🚀 Prefill Speed (TPS, or Tokens per Second, with different prompt lengths)
| Model | HW | 1k | 2k | 4k | 8k | 16k | 32k |
|---|---|---|---|---|---|---|---|
| Qwen3.6-35B-A3B | NPU (FLM) | 102.45 | 144.8 | 202.45 | 245.99 | 277.09 | 280.97 |
🚀 Prefill TTFT with Image Input (Seconds)
Prefill time-to-first-token (TTFT) for Qwen3.6-35B-A3B on NPU (FastFlowLM) with different image resolutions.
Mid Resolution Images:
| Model | HW | 720p (1280×720) | 1080p (1920×1080) |
|---|---|---|---|
| Qwen3.6-35B-A3B | NPU (FLM) | 11.3 | 17.8 |
High Resolution Images:
| Model | HW | 2K (2560×1440) | 4K (3840×2160) |
|---|---|---|---|
| Qwen3.6-35B-A3B | NPU (FLM) | 28.5 | 59.2 |
This test uses a short prompt: “Describe this image.”