| User | M1_MACBOOK | 
| Upload Date | February 22 2025 12:57 PM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | Neural Engine | 
| Device | Apple M1 | 
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) | 
| Model | MacBook Air (Late 2020) | 
| Model ID | MacBookAir10,1 | 
| Motherboard | MacBookAir10,1 | 
| CPU Information | |
|---|---|
| Name | Apple M1 | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | Apple M1 | 
| Base Frequency | 3.20 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 8.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 956 177.7 IPS | |
| Image Classification (HP) | 100% | 6476 1.20 KIPS | |
| Image Classification (Q) | 96% | 5777 1.08 KIPS | |
| Image Segmentation (SP) | 100% | 631 10.2 IPS | |
| Image Segmentation (HP) | 100% | 4265 69.1 IPS | |
| Image Segmentation (Q) | 99% | 451 7.31 IPS | |
| Pose Estimation (SP) | 100% | 5669 6.61 IPS | |
| Pose Estimation (HP) | 100% | 67846 79.2 IPS | |
| Pose Estimation (Q) | 95% | 65147 76.4 IPS | |
| Object Detection (SP) | 100% | 1020 80.9 IPS | |
| Object Detection (HP) | 99% | 7191 572.0 IPS | |
| Object Detection (Q) | 93% | 6400 510.7 IPS | |
| Face Detection (SP) | 100% | 1541 18.3 IPS | |
| Face Detection (HP) | 100% | 12318 146.4 IPS | |
| Face Detection (Q) | 100% | 12696 150.9 IPS | |
| Depth Estimation (SP) | 100% | 3532 27.2 IPS | |
| Depth Estimation (HP) | 99% | 44991 346.6 IPS | |
| Depth Estimation (Q) | 85% | 51266 400.6 IPS | |
| Style Transfer (SP) | 100% | 9936 12.8 IPS | |
| Style Transfer (HP) | 100% | 119214 153.3 IPS | |
| Style Transfer (Q) | 96% | 113777 146.8 IPS | |
| Image Super-Resolution (SP) | 100% | 2570 94.9 IPS | |
| Image Super-Resolution (HP) | 100% | 18050 666.5 IPS | |
| Image Super-Resolution (Q) | 99% | 21034 776.7 IPS | |
| Text Classification (SP) | 100% | 772 1.03 KIPS | |
| Text Classification (HP) | 100% | 2435 3.25 KIPS | |
| Text Classification (Q) | 93% | 2429 3.26 KIPS | |
| Machine Translation (SP) | 100% | 1341 23.1 IPS | |
| Machine Translation (HP) | 100% | 2282 39.3 IPS | |
| Machine Translation (Q) | 98% | 2268 39.2 IPS |