| User | tntoak |
| Upload Date | March 26 2025 06:12 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3010
559.7 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3472
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18943
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31736
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23971
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4567
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14029
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9972
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35920
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48442
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38323
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6999
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9494
350.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5231
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5241
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5234
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5721
98.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8651
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8710
150.5 IPS |