| User | shafnitz |
| Upload Date | September 15 2025 06:12 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4726
878.9 IPS |
|
|
Image Classification (HP)
|
100% |
5143
956.5 IPS |
|
|
Image Classification (Q)
|
96% |
4769
890.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7570
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8405
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8067
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29746
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31802
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31556
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
5450
432.3 IPS |
|
|
Object Detection (Q)
|
92% |
5097
406.8 IPS |
|
|
Face Detection (SP)
|
100% |
12495
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
17213
204.5 IPS |
|
|
Face Detection (Q)
|
100% |
13815
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21752
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23439
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21418
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61262
78.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71099
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68704
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12417
458.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12419
458.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10960
404.7 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2851
49.3 IPS |