| User | aenewton |
| Upload Date | March 20 2025 02:31 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
17982
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
28322
5.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21384
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30269
490.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9861
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123797
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232028
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
18399
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25946
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
43869
521.3 IPS |
|
|
Face Detection (Q)
|
100% |
64897
771.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99814
769.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170193
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25059
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235444
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298543
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49015
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84777
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18379
317.6 IPS |