Upload Date | November 09 2024 08:01 PM |
Views | 2 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple A16 Bionic |
System Information | |
---|---|
Operating System | iOS 18.2 |
Model | iPhone 14 Pro Max |
Model ID | iPhone15,3 |
Motherboard | D74AP |
CPU Information | |
---|---|
Name | Apple A16 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.46 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 5.50 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
Image Classification (HP)
|
100% |
10448
1.94 KIPS |
|
Image Classification (Q)
|
97% |
12803
2.39 KIPS |
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
Image Segmentation (HP)
|
100% |
13673
221.7 IPS |
|
Image Segmentation (Q)
|
99% |
17875
289.8 IPS |
|
Pose Estimation (SP)
|
100% |
7000
8.17 IPS |
|
Pose Estimation (HP)
|
100% |
96551
112.7 IPS |
|
Pose Estimation (Q)
|
95% |
101156
118.6 IPS |
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
Object Detection (HP)
|
100% |
12781
1.01 KIPS |
|
Object Detection (Q)
|
91% |
14930
1.19 KIPS |
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
Face Detection (HP)
|
100% |
29032
345.0 IPS |
|
Face Detection (Q)
|
100% |
38809
461.1 IPS |
|
Depth Estimation (SP)
|
100% |
6103
47.0 IPS |
|
Depth Estimation (HP)
|
99% |
76392
588.6 IPS |
|
Depth Estimation (Q)
|
85% |
95651
747.8 IPS |
|
Style Transfer (SP)
|
100% |
18908
24.3 IPS |
|
Style Transfer (HP)
|
100% |
167898
215.8 IPS |
|
Style Transfer (Q)
|
96% |
168194
217.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
31952
1.18 KIPS |
|
Image Super-Resolution (Q)
|
99% |
37850
1.40 KIPS |
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
Text Classification (Q)
|
93% |
1861
2.50 KIPS |
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
Machine Translation (HP)
|
100% |
7064
121.7 IPS |
|
Machine Translation (Q)
|
98% |
7784
134.5 IPS |