Upload Date | August 14 2023 01:09 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.0 |
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 | 3.57 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
798
85.5 IPS |
|
Image Classification (F16)
|
100% |
765
81.9 IPS |
|
Image Classification (I8)
|
81% |
473
50.7 IPS |
|
Image Segmentation (F32)
|
100% |
1124
6.94 IPS |
|
Image Segmentation (F16)
|
100% |
1072
6.62 IPS |
|
Image Segmentation (I8)
|
89% |
1455
8.99 IPS |
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
Pose Estimation (F16)
|
100% |
403
1.63 IPS |
|
Pose Estimation (I8)
|
80% |
471
1.91 IPS |
|
Object Detection (F32)
|
100% |
1047
36.7 IPS |
|
Object Detection (F16)
|
100% |
1060
37.2 IPS |
|
Object Detection (I8)
|
52% |
746
26.2 IPS |
|
Face Detection (F32)
|
100% |
1311
15.1 IPS |
|
Face Detection (F16)
|
100% |
1275
14.6 IPS |
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
Text Classification (F32)
|
100% |
1087
430.0 IPS |
|
Text Classification (F16)
|
100% |
1138
450.3 IPS |
|
Machine Translation (F32)
|
100% |
2059
317.4 IPS |
|
Machine Translation (F16)
|
100% |
2050
315.9 IPS |