| User | M1_MACBOOK |
| Upload Date | September 17 2025 05:47 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8 (Build 23J21) |
| 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 | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
987
183.5 IPS |
|
|
Image Classification (HP)
|
100% |
6432
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5739
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
509
8.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
5688
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68024
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64840
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
99% |
7165
569.9 IPS |
|
|
Object Detection (Q)
|
93% |
6672
532.4 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12479
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
12812
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3252
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44915
346.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51548
402.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9853
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119687
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114206
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18048
666.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20920
772.5 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.7 IPS |
|
|
Text Classification (HP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2683
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2274
39.3 IPS |