| User | M1_MACBOOK |
| Upload Date | March 16 2025 07:34 AM |
| Views | 7 |
| 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% |
960
178.6 IPS |
|
|
Image Classification (HP)
|
100% |
6405
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5719
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4234
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
516
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
67749
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65193
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.6 IPS |
|
|
Object Detection (HP)
|
99% |
7182
571.3 IPS |
|
|
Object Detection (Q)
|
93% |
6526
520.7 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
12484
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
12644
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3378
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44929
346.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
51276
400.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9865
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119241
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114361
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18001
664.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20893
771.5 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.8 IPS |
|
|
Text Classification (HP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2508
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2280
39.4 IPS |