Upload Date | May 15 2022 08:30 PM |
Views | 3 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
Model | iPhone SE |
Model ID | iPhone8,4 |
Motherboard | N69uAP |
CPU Information | |
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Name | Apple A9 |
Topology | 1 Processor, 2 Cores |
Identifier | ARM |
Base Frequency | 1.80 GHz |
L1 Instruction Cache | 64.0 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 3.00 MB x 1 |
Memory Information | |
---|---|
Size | 1.96 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
192
20.6 IPS |
|
Image Classification (F16)
|
100% |
190
20.3 IPS |
|
Image Classification (I8)
|
81% |
302
32.4 IPS |
|
Image Segmentation (F32)
|
100% |
357
2.21 IPS |
|
Image Segmentation (F16)
|
100% |
358
2.21 IPS |
|
Image Segmentation (I8)
|
89% |
581
3.59 IPS |
|
Pose Estimation (F32)
|
100% |
101
0.41 IPS |
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
Pose Estimation (I8)
|
80% |
110
0.45 IPS |
|
Object Detection (F32)
|
100% |
299
10.5 IPS |
|
Object Detection (F16)
|
100% |
323
11.3 IPS |
|
Object Detection (I8)
|
52% |
431
15.1 IPS |
|
Face Detection (F32)
|
100% |
388
4.46 IPS |
|
Face Detection (F16)
|
100% |
353
4.06 IPS |
|
Face Detection (I8)
|
75% |
435
5.00 IPS |
|
Text Classification (F32)
|
100% |
472
186.8 IPS |
|
Text Classification (F16)
|
100% |
479
189.6 IPS |
|
Machine Translation (F32)
|
100% |
454
70.0 IPS |
|
Machine Translation (F16)
|
100% |
434
67.0 IPS |