| User | M1_MACBOOK |
| Upload Date | December 02 2024 08:25 AM |
| Views | 12 |
| 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 | 1.57 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (Q)
|
96% |
1327
247.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
61
0.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
94
1.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
19529
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
21342
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
99% |
1271
101.1 IPS |
|
|
Object Detection (Q)
|
93% |
1598
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
436
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
8327
64.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12778
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1420
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
31382
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36339
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4458
164.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5895
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.0 IPS |
|
|
Text Classification (HP)
|
100% |
693
925.3 IPS |
|
|
Text Classification (Q)
|
93% |
582
780.7 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.28 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.56 IPS |