Upload Date | May 17 2022 06:17 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
Model | iPhone 12 |
Model ID | iPhone13,2 |
Motherboard | D53gAP |
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 | 3.58 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5226
560.0 IPS |
|
Image Classification (F16)
|
100% |
5202
557.4 IPS |
|
Image Classification (I8)
|
81% |
626
67.1 IPS |
|
Image Segmentation (F32)
|
100% |
1907
11.8 IPS |
|
Image Segmentation (F16)
|
100% |
1864
11.5 IPS |
|
Image Segmentation (I8)
|
89% |
1087
6.71 IPS |
|
Pose Estimation (F32)
|
100% |
17087
69.1 IPS |
|
Pose Estimation (F16)
|
100% |
16852
68.2 IPS |
|
Pose Estimation (I8)
|
80% |
211
0.85 IPS |
|
Object Detection (F32)
|
100% |
6369
223.5 IPS |
|
Object Detection (F16)
|
100% |
6322
221.9 IPS |
|
Object Detection (I8)
|
52% |
836
29.3 IPS |
|
Face Detection (F32)
|
100% |
6822
78.4 IPS |
|
Face Detection (F16)
|
100% |
6817
78.3 IPS |
|
Face Detection (I8)
|
75% |
807
9.27 IPS |
|
Text Classification (F32)
|
100% |
971
384.0 IPS |
|
Text Classification (F16)
|
100% |
970
383.7 IPS |
|
Machine Translation (F32)
|
100% |
1668
257.0 IPS |
|
Machine Translation (F16)
|
100% |
1657
255.3 IPS |