| User | M1_MACBOOK |
| Upload Date | December 15 2024 01:30 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
550
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
5386
1.00 KIPS |
|
|
Image Classification (Q)
|
96% |
4655
869.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
35235
41.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21162
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
99% |
2616
208.1 IPS |
|
|
Object Detection (Q)
|
93% |
5448
434.7 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
9649
114.7 IPS |
|
|
Face Detection (Q)
|
100% |
5634
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1339
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
38639
297.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48107
375.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6960
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
112174
144.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112662
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17318
639.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20783
767.4 IPS |
|
|
Text Classification (SP)
|
100% |
520
694.0 IPS |
|
|
Text Classification (HP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3021
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1661
28.7 IPS |