Upload Date | May 17 2022 02:06 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
Model | iPhone 12 Pro Max |
Model ID | iPhone13,4 |
Motherboard | D54pAP |
CPU Information | |
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Name | Apple A14 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.99 GHz |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 5.54 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5200
557.2 IPS |
|
Image Classification (F16)
|
100% |
5191
556.2 IPS |
|
Image Classification (I8)
|
81% |
639
68.5 IPS |
|
Image Segmentation (F32)
|
100% |
1887
11.7 IPS |
|
Image Segmentation (F16)
|
100% |
1928
11.9 IPS |
|
Image Segmentation (I8)
|
89% |
1148
7.09 IPS |
|
Pose Estimation (F32)
|
100% |
18144
73.4 IPS |
|
Pose Estimation (F16)
|
100% |
18187
73.6 IPS |
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
Object Detection (F32)
|
100% |
6555
230.0 IPS |
|
Object Detection (F16)
|
100% |
6547
229.8 IPS |
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
Face Detection (F32)
|
100% |
6907
79.4 IPS |
|
Face Detection (F16)
|
100% |
6890
79.2 IPS |
|
Face Detection (I8)
|
75% |
886
10.2 IPS |
|
Text Classification (F32)
|
100% |
961
379.9 IPS |
|
Text Classification (F16)
|
100% |
999
395.1 IPS |
|
Machine Translation (F32)
|
100% |
1665
256.7 IPS |
|
Machine Translation (F16)
|
100% |
1672
257.6 IPS |