| Upload Date | December 09 2022 12:56 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% |
546
58.5 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
5.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
5.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1105
6.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
334
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
764
26.8 IPS |
|
|
Object Detection (F16)
|
100% |
749
26.3 IPS |
|
|
Object Detection (I8)
|
52% |
602
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
947
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
899
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
707
8.12 IPS |
|
|
Text Classification (F32)
|
100% |
1763
697.5 IPS |
|
|
Text Classification (F16)
|
100% |
1844
729.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
182.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1189
183.3 IPS |
Compare
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