| User | howells |
| Upload Date | August 21 2024 10:30 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3497
650.4 IPS |
|
|
Image Classification (HP)
|
100% |
3572
664.4 IPS |
|
|
Image Classification (Q)
|
99% |
3145
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3964
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4897
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4799
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24336
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26112
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23683
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (HP)
|
100% |
3769
299.0 IPS |
|
|
Object Detection (Q)
|
92% |
2879
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
9892
117.5 IPS |
|
|
Face Detection (HP)
|
100% |
11277
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
7582
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16443
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18022
138.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
17762
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42721
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48320
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
48107
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10002
369.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10137
374.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7898
292.6 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.2 IPS |
|
|
Text Classification (HP)
|
100% |
574
765.9 IPS |
|
|
Text Classification (Q)
|
93% |
665
892.3 IPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
945
16.3 IPS |