| Upload Date | December 09 2022 04:44 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 | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
548
58.7 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
81% |
324
34.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
890
5.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
866
5.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
1109
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
283
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
338
1.37 IPS |
|
|
Object Detection (F32)
|
100% |
797
28.0 IPS |
|
|
Object Detection (F16)
|
100% |
489
17.2 IPS |
|
|
Object Detection (I8)
|
52% |
691
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
800
9.19 IPS |
|
|
Face Detection (F16)
|
100% |
856
9.83 IPS |
|
|
Face Detection (I8)
|
75% |
706
8.11 IPS |
|
|
Text Classification (F32)
|
100% |
1749
691.9 IPS |
|
|
Text Classification (F16)
|
100% |
1805
714.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1219
187.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1204
185.6 IPS |
Compare
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