Upload Date | May 17 2022 01:07 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
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 | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2963
317.5 IPS |
|
Image Classification (F16)
|
100% |
4509
483.1 IPS |
|
Image Classification (I8)
|
81% |
693
74.2 IPS |
|
Image Segmentation (F32)
|
100% |
6006
37.1 IPS |
|
Image Segmentation (F16)
|
100% |
8456
52.2 IPS |
|
Image Segmentation (I8)
|
89% |
1194
7.37 IPS |
|
Pose Estimation (F32)
|
100% |
1923
7.78 IPS |
|
Pose Estimation (F16)
|
100% |
4917
19.9 IPS |
|
Pose Estimation (I8)
|
80% |
229
0.93 IPS |
|
Object Detection (F32)
|
100% |
3740
131.3 IPS |
|
Object Detection (F16)
|
100% |
5112
179.4 IPS |
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
Face Detection (F32)
|
100% |
5220
60.0 IPS |
|
Face Detection (F16)
|
97% |
9404
108.0 IPS |
|
Face Detection (I8)
|
75% |
915
10.5 IPS |
|
Text Classification (F32)
|
100% |
2436
963.5 IPS |
|
Text Classification (F16)
|
100% |
2694
1.07 KIPS |
|
Machine Translation (F32)
|
100% |
1950
300.6 IPS |
|
Machine Translation (F16)
|
100% |
1948
300.2 IPS |