| User | inc7007 |
| Upload Date | January 17 2025 02:46 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
99% |
2543
474.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2588
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15079
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13005
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6267
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3611
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5879
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11923
92.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11917
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18990
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29143
37.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29181
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3608
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3739
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5760
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5775
99.8 IPS |