| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:39 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
6390
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5437
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
156
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
21876
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
20846
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
2437
193.9 IPS |
|
|
Object Detection (Q)
|
93% |
2496
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
5829
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
643
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
17092
131.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19842
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4013
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
69020
88.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42020
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7778
287.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9125
336.9 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.2 IPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
900
15.5 IPS |