| Upload Date | October 24 2025 12:38 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.01 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.6 IPS |
|
|
Image Classification (Q)
|
96% |
3180
593.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6278
101.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6211
100.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5975
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27580
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31988
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30992
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2832
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
2933
232.7 IPS |
|
|
Object Detection (Q)
|
92% |
3222
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
12888
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
13704
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
11645
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17167
132.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15567
119.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14494
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49864
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59173
76.1 IPS |
|
|
Style Transfer (Q)
|
96% |
57757
74.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7872
290.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9560
353.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.63 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.26 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.23 IPS |