| User | remusn |
| Upload Date | October 22 2025 01:20 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
17193
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21765
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23259
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32298
523.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17419
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122591
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229654
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
19717
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23483
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
45442
540.0 IPS |
|
|
Face Detection (Q)
|
100% |
67144
797.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108666
837.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176933
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25116
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237519
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301102
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46628
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77832
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5558
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16327
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16319
282.0 IPS |