NNLQP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Latency Prediction | NNLQP (Same Distribution) | MAPE1.18 | 44 | |
| Latency prediction | NNLQP Average v1 | Average MAPE10.55 | 7 | |
| Latency prediction | NNLQP VGG v1 | MAPE (avg)7.6 | 7 | |
| Latency prediction | NNLQP SqueezeNet v1 | MAPE (Avg)7.08 | 7 | |
| Latency prediction | NNLQP ResNet v1 | MAPE (avg)6.8 | 7 | |
| Latency prediction | NNLQP NasBench201 v1 | Average MAPE9.21 | 7 | |
| Latency prediction | NNLQP MobileNetV2 v1 | MAPE (avg)6.43 | 7 | |
| Latency prediction | NNLQP MnasNet v1 | MAPE (avg)7.16 | 7 | |
| Latency prediction | NNLQP GoogleNet v1 | MAPE (avg)6.61 | 7 | |
| Latency prediction | NNLQP EfficientNet v1 | Average MAPE13.2 | 7 | |
| Latency prediction | NNLQP AlexNet v1 | Avg MAPE7.2 | 7 | |
| Latency prediction | NNLQP MobileNetV3 | MAPE (Avg)9.06 | 7 | |
| Latency Prediction | NNLQP Nas-Bench-201 depth=112~247 (test) | MAPE4.19 | 4 | |
| Latency Prediction | NNLQP EfficientNet depth=242 (test) | MAPE16.74 | 4 | |
| Latency prediction | NNLQP Average | MAPE (Average)- | 0 | |
| Latency prediction | NNLQP SqueezeNet | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP ResNet | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP NasBench201 | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP MobileNetV2 | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP MnasNet | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP GoogleNet | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP EfficientNet | MAPE (avg)- | 0 | |
| Latency prediction | NNLQP AlexNet | MAPE (avg)- | 0 | |
| Latency Prediction | NNLQP Nas-Bench-201 depth=112~247 | MAPE- | 0 | |
| Latency Prediction | NNLQP EfficientNet depth=242 | MAPE- | 0 |
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