| User | M1_MACBOOK |
| Upload Date | December 03 2024 03:04 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 | 2.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
626
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
6384
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5557
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
3836
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
249
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
24390
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25889
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
2733
217.4 IPS |
|
|
Object Detection (Q)
|
93% |
2511
200.3 IPS |
|
|
Face Detection (SP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (HP)
|
100% |
8405
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
9514
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35797
275.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
39769
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4994
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
91742
117.9 IPS |
|
|
Style Transfer (Q)
|
96% |
91333
117.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14564
537.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18077
667.5 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.5 IPS |
|
|
Text Classification (HP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2667
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1554
26.9 IPS |