| User | M1_MACBOOK |
| Upload Date | February 14 2025 09:37 AM |
| Views | 8 |
| 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 | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
6380
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5382
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
196
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
45027
52.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
46457
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
99% |
4732
376.4 IPS |
|
|
Object Detection (Q)
|
93% |
4571
364.7 IPS |
|
|
Face Detection (SP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
8120
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
9573
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1803
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34504
265.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
38104
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5247
6.75 IPS |
|
|
Style Transfer (HP)
|
100% |
84872
109.1 IPS |
|
|
Style Transfer (Q)
|
96% |
87597
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14237
525.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11494
424.4 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.0 IPS |
|
|
Text Classification (HP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1634
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
718
12.4 IPS |