Upload Date | November 29 2023 06:00 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.1.1 |
Model | iPhone 12 Pro |
Model ID | iPhone13,3 |
Motherboard | D53pAP |
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 | 5.56 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
701
75.1 IPS |
|
Image Classification (F16)
|
100% |
705
75.5 IPS |
|
Image Classification (I8)
|
81% |
335
35.9 IPS |
|
Image Segmentation (F32)
|
100% |
1068
6.60 IPS |
|
Image Segmentation (F16)
|
100% |
1023
6.32 IPS |
|
Image Segmentation (I8)
|
89% |
1294
7.99 IPS |
|
Pose Estimation (F32)
|
100% |
358
1.45 IPS |
|
Pose Estimation (F16)
|
100% |
356
1.44 IPS |
|
Pose Estimation (I8)
|
80% |
435
1.76 IPS |
|
Object Detection (F32)
|
100% |
1011
35.5 IPS |
|
Object Detection (F16)
|
100% |
1025
36.0 IPS |
|
Object Detection (I8)
|
52% |
596
20.9 IPS |
|
Face Detection (F32)
|
100% |
1232
14.2 IPS |
|
Face Detection (F16)
|
100% |
1202
13.8 IPS |
|
Face Detection (I8)
|
75% |
789
9.07 IPS |
|
Text Classification (F32)
|
100% |
2400
949.3 IPS |
|
Text Classification (F16)
|
100% |
2409
952.6 IPS |
|
Machine Translation (F32)
|
100% |
1747
269.2 IPS |
|
Machine Translation (F16)
|
100% |
1745
269.0 IPS |