| User | c0de |
| Upload Date | September 17 2025 11:52 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.3 IPS |
|
|
Image Classification (Q)
|
96% |
2157
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3530
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17918
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34251
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26350
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
97% |
3873
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2762
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
4949
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
8208
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4598
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14716
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9790
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30735
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
56882
73.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43096
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9555
352.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5384
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5764
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9204
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9721
168.0 IPS |