| Upload Date | November 15 2025 12:13 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
18472
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
22067
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23613
382.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33653
545.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17424
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122445
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230217
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
20013
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24137
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5024
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
44195
525.1 IPS |
|
|
Face Detection (Q)
|
100% |
63341
752.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109843
846.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175216
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30540
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236546
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
326123
420.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48167
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80209
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6073
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16232
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16379
283.0 IPS |