Upload Date | October 06 2022 06:23 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.0 |
Model | iPhone 13 Pro |
Model ID | iPhone14,2 |
Motherboard | D63AP |
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 | 5.52 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2754
295.1 IPS |
|
Image Classification (F16)
|
100% |
4440
475.7 IPS |
|
Image Classification (I8)
|
81% |
684
73.2 IPS |
|
Image Segmentation (F32)
|
100% |
5559
34.3 IPS |
|
Image Segmentation (F16)
|
100% |
8087
50.0 IPS |
|
Image Segmentation (I8)
|
89% |
1168
7.21 IPS |
|
Pose Estimation (F32)
|
100% |
1804
7.30 IPS |
|
Pose Estimation (F16)
|
100% |
4646
18.8 IPS |
|
Pose Estimation (I8)
|
80% |
225
0.91 IPS |
|
Object Detection (F32)
|
100% |
3190
111.9 IPS |
|
Object Detection (F16)
|
100% |
3436
120.6 IPS |
|
Object Detection (I8)
|
52% |
926
32.5 IPS |
|
Face Detection (F32)
|
100% |
4468
51.3 IPS |
|
Face Detection (F16)
|
97% |
8425
96.8 IPS |
|
Face Detection (I8)
|
75% |
880
10.1 IPS |
|
Text Classification (F32)
|
100% |
1651
652.9 IPS |
|
Text Classification (F16)
|
100% |
1995
788.9 IPS |
|
Machine Translation (F32)
|
100% |
2022
311.6 IPS |
|
Machine Translation (F16)
|
100% |
2022
311.7 IPS |