| Upload Date | December 09 2022 06:35 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
394
42.2 IPS |
|
|
Image Classification (F16)
|
100% |
393
42.1 IPS |
|
|
Image Classification (I8)
|
81% |
716
76.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
511
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
523
3.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1173
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
292
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
293
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
357
1.44 IPS |
|
|
Object Detection (F32)
|
100% |
598
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
590
20.7 IPS |
|
|
Object Detection (I8)
|
52% |
857
30.1 IPS |
|
|
Face Detection (F32)
|
100% |
712
8.18 IPS |
|
|
Face Detection (F16)
|
100% |
745
8.56 IPS |
|
|
Face Detection (I8)
|
75% |
933
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1136
449.2 IPS |
|
|
Text Classification (F16)
|
100% |
1142
451.6 IPS |
|
|
Machine Translation (F32)
|
100% |
815
125.7 IPS |
|
|
Machine Translation (F16)
|
100% |
821
126.5 IPS |
Compare
Set Baseline