| User | shafnitz |
| Upload Date | November 08 2025 03:52 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4689
872.1 IPS |
|
|
Image Classification (HP)
|
100% |
5019
933.4 IPS |
|
|
Image Classification (Q)
|
96% |
4728
882.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7642
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8423
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8061
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29781
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31919
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31436
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4887
387.7 IPS |
|
|
Object Detection (HP)
|
100% |
5657
448.7 IPS |
|
|
Object Detection (Q)
|
92% |
5002
399.3 IPS |
|
|
Face Detection (SP)
|
100% |
12937
153.7 IPS |
|
|
Face Detection (HP)
|
100% |
17397
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
13723
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21696
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23247
179.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21563
168.4 IPS |
|
|
Style Transfer (SP)
|
100% |
61089
78.5 IPS |
|
|
Style Transfer (HP)
|
100% |
70923
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69466
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12607
465.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12292
453.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11419
421.6 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5473
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2874
49.7 IPS |