| Upload Date | November 17 2025 05:00 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3669
682.3 IPS |
|
|
Image Classification (HP)
|
100% |
3765
700.2 IPS |
|
|
Image Classification (Q)
|
97% |
2850
531.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6020
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6139
99.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5907
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32984
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34282
40.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
30780
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3731
296.0 IPS |
|
|
Object Detection (HP)
|
100% |
3934
312.1 IPS |
|
|
Object Detection (Q)
|
92% |
3034
242.2 IPS |
|
|
Face Detection (SP)
|
100% |
12479
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
13143
156.2 IPS |
|
|
Face Detection (Q)
|
100% |
9171
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19600
151.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19876
153.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
121.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53648
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
63153
81.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59757
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11002
406.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11565
427.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8697
321.2 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.9 IPS |
|
|
Text Classification (Q)
|
93% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1098
19.0 IPS |