| User | min2252 |
| Upload Date | March 06 2026 03:58 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| 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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13993
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12037
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2375
189.1 IPS |
|
|
Object Detection (Q)
|
94% |
1767
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10310
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7378
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16277
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26155
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21693
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3430
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3449
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4271
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4686
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4689
81.0 IPS |