| User | Natrep |
| Upload Date | July 12 2025 05:50 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6350
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5980
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9730
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10088
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
70212
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
68104
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7483
595.3 IPS |
|
|
Object Detection (Q)
|
91% |
7088
566.3 IPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16936
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
13187
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49385
380.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49916
390.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16937
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
124169
159.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118463
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23735
876.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24705
912.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3736
64.6 IPS |