| User | fs36 |
| Upload Date | December 28 2025 01:07 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
7221
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7631
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
6930
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12274
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12869
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12299
199.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44186
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49539
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47690
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6624
525.5 IPS |
|
|
Object Detection (HP)
|
100% |
7035
558.0 IPS |
|
|
Object Detection (Q)
|
92% |
6847
546.5 IPS |
|
|
Face Detection (SP)
|
100% |
23551
279.8 IPS |
|
|
Face Detection (HP)
|
100% |
25895
307.7 IPS |
|
|
Face Detection (Q)
|
100% |
21771
258.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30474
234.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32728
252.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
29798
232.8 IPS |
|
|
Style Transfer (SP)
|
100% |
102126
131.3 IPS |
|
|
Style Transfer (HP)
|
100% |
112899
145.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109714
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16232
599.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17183
634.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15380
567.9 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5829
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6267
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6203
107.2 IPS |