| Upload Date | December 09 2022 01:00 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 | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1160
124.3 IPS |
|
|
Image Classification (F16)
|
100% |
1573
168.6 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3460
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5369
33.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
836
5.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
1425
5.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
4424
17.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1510
53.0 IPS |
|
|
Object Detection (F16)
|
99% |
1816
63.7 IPS |
|
|
Object Detection (I8)
|
52% |
628
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
3628
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
5372
61.7 IPS |
|
|
Face Detection (I8)
|
75% |
630
7.24 IPS |
|
|
Text Classification (F32)
|
100% |
953
377.0 IPS |
|
|
Text Classification (F16)
|
98% |
1216
481.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1166
179.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1186
182.8 IPS |
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