Language Model Inference on Mobile and IoT Device Latency Benchmark llama.cpp (inference evaluation)
4,215Throughput (Sample, tokens/s)
TinyLLaMA 1.1B
Updated 1mo ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2023.12 | 4,215 | 39.49 | 19.75 | 20.83 | |
2023.12 | 3,932 | 18.1 | 14.71 | 28.3 | |
2023.12 | 3,919 | 17.59 | 9.14 | 44.85 | |
2023.12 | 3,887 | 44.17 | 31.54 | 13.22 | |
2023.12 | 3,870 | 36.2 | 28.32 | 14.76 | |
2023.12 | 3,846 | 35.46 | 17.93 | 22.81 | |
2023.12 | 3,801 | 306.76 | 78.83 | 5.38 | |
2023.12 | 3,738 | 253.22 | 66.79 | 6.33 | |
2023.12 | 3,604 | 8.97 | 7.14 | 58.04 | |
2023.12 | 3,340 | 143.25 | 32.16 | 12.83 | |
2023.12 | 3,289 | 249.56 | 60.73 | 6.96 | |
2023.12 | 3,093 | 7.32 | 6.58 | 63.33 | |
2023.12 | 3,040 | 133.41 | 33.28 | 12.46 | |
2023.12 | 3,007 | 279.61 | 72.3 | 5.89 | |
2023.12 | 2,647 | 130.97 | 38.99 | 10.74 | |
2023.12 | 2,382 | 80.34 | 29.97 | 13.94 |