| User | M1_MACBOOK |
| Upload Date | November 03 2024 08:08 AM |
| Views | 8 |
| 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 | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
5155
958.7 IPS |
|
|
Image Classification (Q)
|
96% |
4568
853.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
94
1.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15346
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15594
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
99% |
1620
128.9 IPS |
|
|
Object Detection (Q)
|
93% |
1860
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.17 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
4219
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
22670
174.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14878
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5003
6.43 IPS |
|
|
Style Transfer (HP)
|
100% |
88889
114.3 IPS |
|
|
Style Transfer (Q)
|
96% |
70282
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10056
371.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
193.7 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.5 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.1 IPS |
|
|
Text Classification (Q)
|
93% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
98% |
406
7.01 IPS |