| Upload Date | December 09 2022 01:02 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4441
475.8 IPS |
|
|
Image Classification (F16)
|
100% |
4384
469.8 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1502
9.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
1488
9.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
820
5.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
8436
34.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8427
34.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
94% |
4936
173.2 IPS |
|
|
Object Detection (F16)
|
94% |
4971
174.4 IPS |
|
|
Object Detection (I8)
|
52% |
633
22.2 IPS |
|
|
Face Detection (F32)
|
67% |
5664
65.1 IPS |
|
|
Face Detection (F16)
|
67% |
5716
65.7 IPS |
|
|
Face Detection (I8)
|
75% |
620
7.13 IPS |
|
|
Text Classification (F32)
|
100% |
845
334.2 IPS |
|
|
Text Classification (F16)
|
100% |
849
335.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1165
179.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1176
181.2 IPS |
Compare
Set Baseline