| Upload Date | October 23 2025 04:40 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
17809
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21830
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23292
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32218
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17387
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122601
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228806
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
19747
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23755
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
45554
541.3 IPS |
|
|
Face Detection (Q)
|
100% |
66474
789.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106793
822.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
176776
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25489
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239117
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300454
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46558
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78926
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5232
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5680
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16340
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16661
287.9 IPS |