Upload Date | May 17 2022 07:46 AM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
Model | iPhone 13 mini |
Model ID | iPhone14,4 |
Motherboard | D16AP |
CPU Information | |
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Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 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 | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5390
577.5 IPS |
|
Image Classification (F16)
|
100% |
5240
561.5 IPS |
|
Image Classification (I8)
|
81% |
694
74.4 IPS |
|
Image Segmentation (F32)
|
100% |
2150
13.3 IPS |
|
Image Segmentation (F16)
|
100% |
2054
12.7 IPS |
|
Image Segmentation (I8)
|
89% |
1178
7.28 IPS |
|
Pose Estimation (F32)
|
100% |
22815
92.3 IPS |
|
Pose Estimation (F16)
|
100% |
22807
92.3 IPS |
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
Object Detection (F32)
|
100% |
6906
242.4 IPS |
|
Object Detection (F16)
|
100% |
6854
240.5 IPS |
|
Object Detection (I8)
|
52% |
923
32.4 IPS |
|
Face Detection (F32)
|
100% |
7983
91.7 IPS |
|
Face Detection (F16)
|
100% |
8225
94.5 IPS |
|
Face Detection (I8)
|
75% |
902
10.4 IPS |
|
Text Classification (F32)
|
100% |
1039
411.1 IPS |
|
Text Classification (F16)
|
100% |
1039
410.9 IPS |
|
Machine Translation (F32)
|
100% |
1959
301.9 IPS |
|
Machine Translation (F16)
|
100% |
1948
300.2 IPS |