| User | M1_MACBOOK |
| Upload Date | November 09 2025 11:44 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.2 (Build 23J126) |
| 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 | 1.63 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (Q)
|
96% |
2568
479.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
119
1.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
35698
41.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
41039
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
99% |
4953
394.0 IPS |
|
|
Object Detection (Q)
|
93% |
4327
345.3 IPS |
|
|
Face Detection (SP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (HP)
|
100% |
5735
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
9736
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1869
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38052
293.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
39192
306.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
95204
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
86154
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15225
562.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16608
613.3 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.4 IPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |