| User | M1_MACBOOK |
| Upload Date | November 02 2024 11:54 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 2.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
4415
821.1 IPS |
|
|
Image Classification (Q)
|
96% |
3201
597.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
123
1.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1050
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
21586
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20776
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
99% |
2590
206.1 IPS |
|
|
Object Detection (Q)
|
93% |
2521
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
5207
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1502
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29521
227.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
34072
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4822
6.20 IPS |
|
|
Style Transfer (HP)
|
100% |
87119
112.0 IPS |
|
|
Style Transfer (Q)
|
96% |
83461
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13695
505.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15746
581.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.1 IPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2528
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1388
24.0 IPS |