Qualcomm Snapdragon 7 Gen 4
其他27
运行记录
11
覆盖模型
4
覆盖框架
L2 跨框架验证 × 27
证据分布
典型性能表现
同硬件上各模型 × 框架 × 量化的已上架实测均值。
- llama.cpp · Q4_K_M Decode 50.36 · Prefill 218.21 ·
- Ollama · IQ4_XS Decode 48.35 · Prefill 193.59 ·
- llama.cpp · Q4_K_M Decode 83.77 · Prefill 313.94 ·
- Ollama · IQ2_M Decode 122.21 · Prefill 586.2 ·
- Ollama · Q6_K Decode 67.49 · Prefill 328.96 ·
- Ollama · Q2_K Decode 58.83 · Prefill 269.66 ·
- Ollama · Q3_K_S Decode 51.27 · Prefill 253.88 ·
- llama.cpp · Q3_K_L Decode 72.64 · Prefill 300.08 ·
- vLLM · IQ3_XS Decode 85.76 · Prefill 337.65 ·
- vLLM · Q3_K_L Decode 76.96 · Prefill 347.46 ·
- llama.cpp · Q3_K_S Decode 53.5 · Prefill 273.17 ·
- llama.cpp · IQ1_S Decode 53.91 · Prefill 278.28 ·
- Ollama · IQ3_S Decode 37.55 · Prefill 185.53 ·
- Ollama · Q4_K_M Decode 32.69 · Prefill 144.19 ·
- vLLM · IQ3_XS Decode 150.77 · Prefill 624.32 ·
- Strata · Q6_K Decode 115.51 · Prefill 492.04 ·
- llama.cpp · Q3_K_M Decode 59.3 · Prefill 285.77 ·
- Strata · Q3_K_S Decode 97.85 · Prefill 474.54 ·
- Strata · Q5_K_M Decode 64.91 · Prefill 252.46 ·
- llama.cpp · IQ2_XS Decode 156.09 · Prefill 630.03 ·
- Strata · Q3_K_M Decode 155.2 · Prefill 688.84 ·
- Strata · Q5_K_S Decode 117.77 · Prefill 410.82 ·
- vLLM · Q3_K_M Decode 80.58 · Prefill 389.4 ·
- vLLM · Q8_0 Decode 46.45 · Prefill 213.34 ·
- Ollama · Q4_K_S Decode 62.77 · Prefill 308.77 ·
- llama.cpp · Q4_K_S Decode 45.34 · Prefill 207.38 ·
- Strata · IQ4_XS Decode 74.19 · Prefill 369.77 ·
核心规格
- 厂商
- Qualcomm
- 显存带宽
- 51 GB/s
运行记录
共 27 组配置
| 模型 | 框架 | 量化 | Decode | 生成耗时 | 样本数 |
|---|---|---|---|---|---|
| Qwen3.5-4B | llama.cpp | Q4_K_M | 50.4 tok/s | — | 1 |
| Qwen3.5-4B | Ollama | IQ4_XS | 48.4 tok/s | — | 1 |
| Qwen3.5-0.8B | llama.cpp | Q4_K_M | 83.8 tok/s | — | 1 |
| Qwen3.5-0.8B | Ollama | IQ2_M | 122.2 tok/s | — | 1 |
| Qwen3.5-0.8B | Ollama | Q6_K | 67.5 tok/s | — | 1 |
| Qwen3-4B | Ollama | Q2_K | 58.8 tok/s | — | 1 |
| Qwen3-4B | Ollama | Q3_K_S | 51.3 tok/s | — | 1 |
| Qwen3-1.7B | llama.cpp | Q3_K_L | 72.6 tok/s | — | 1 |
| Qwen3-1.7B | vLLM | IQ3_XS | 85.8 tok/s | — | 1 |
| Qwen3-1.7B | vLLM | Q3_K_L | 77 tok/s | — | 1 |
| Qwen3-4B-Thinking-2507 | llama.cpp | Q3_K_S | 53.5 tok/s | — | 1 |
| Qwen3-Coder-Next | llama.cpp | IQ1_S | 53.9 tok/s | — | 1 |
| Qwen3-Coder-Next | Ollama | IQ3_S | 37.5 tok/s | — | 1 |
| Qwen3-Coder-Next | Ollama | Q4_K_M | 32.7 tok/s | — | 1 |
| Qwen2.5-0.5B-Instruct | vLLM | IQ3_XS | 150.8 tok/s | — | 1 |
| Qwen2.5-0.5B-Instruct | Strata | Q6_K | 115.5 tok/s | — | 1 |
| Qwen2.5-Omni-3B | llama.cpp | Q3_K_M | 59.3 tok/s | — | 1 |
| Qwen2.5-Omni-3B | Strata | Q3_K_S | 97.8 tok/s | — | 1 |
| Qwen2.5-Omni-3B | Strata | Q5_K_M | 64.9 tok/s | — | 1 |
| Qwen3-Embedding-0.6B | llama.cpp | IQ2_XS | 156.1 tok/s | — | 1 |
| Qwen3-Embedding-0.6B | Strata | Q3_K_M | 155.2 tok/s | — | 1 |
| Qwen3-Embedding-0.6B | Strata | Q5_K_S | 117.8 tok/s | — | 1 |
| gemma-4-E2B-it | vLLM | Q3_K_M | 80.6 tok/s | — | 1 |
| gemma-4-E2B-it | vLLM | Q8_0 | 46.5 tok/s | — | 1 |
| gemma-4-E2B-it | Ollama | Q4_K_S | 62.8 tok/s | — | 1 |
| gemma-4-E4B-it | llama.cpp | Q4_K_S | 45.3 tok/s | — | 1 |
| gemma-4-E4B-it | Strata | IQ4_XS | 74.2 tok/s | — | 1 |