| User | sknight |
| Upload Date | October 19 2025 10:50 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.3 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3410
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3888
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17376
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34139
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26846
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2787
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
5033
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4792
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8818
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14857
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9811
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30202
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56915
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43519
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9414
347.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5458
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5906
101.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9630
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9528
164.7 IPS |