| User | hermeschen1116 |
| Upload Date | December 30 2024 06:36 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14281
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14688
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19264
312.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23865
386.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6814
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104064
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104895
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15245
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17665
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
30751
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
42474
504.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5714
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85926
662.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107738
841.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18643
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202306
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193013
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40725
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48121
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3603
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4233
73.2 IPS |