Upload Date | July 16 2022 03:27 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
Model | iPhone 13 |
Model ID | iPhone14,5 |
Motherboard | D17AP |
CPU Information | |
---|---|
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 | 3.56 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
491
52.6 IPS |
|
Image Classification (F16)
|
100% |
483
51.8 IPS |
|
Image Classification (I8)
|
81% |
797
85.4 IPS |
|
Image Segmentation (F32)
|
100% |
595
3.68 IPS |
|
Image Segmentation (F16)
|
100% |
582
3.59 IPS |
|
Image Segmentation (I8)
|
89% |
1384
8.55 IPS |
|
Pose Estimation (F32)
|
100% |
246
0.99 IPS |
|
Pose Estimation (F16)
|
100% |
324
1.31 IPS |
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
Object Detection (F32)
|
100% |
765
26.9 IPS |
|
Object Detection (F16)
|
100% |
758
26.6 IPS |
|
Object Detection (I8)
|
52% |
1105
38.8 IPS |
|
Face Detection (F32)
|
100% |
875
10.1 IPS |
|
Face Detection (F16)
|
100% |
876
10.1 IPS |
|
Face Detection (I8)
|
75% |
1153
13.3 IPS |
|
Text Classification (F32)
|
100% |
1047
414.1 IPS |
|
Text Classification (F16)
|
100% |
1075
425.3 IPS |
|
Machine Translation (F32)
|
100% |
907
139.8 IPS |
|
Machine Translation (F16)
|
100% |
912
140.5 IPS |
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