Upload Date | January 25 2023 09:49 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.7.2 |
Model | iPhone SE |
Model ID | iPhone8,4 |
Motherboard | N69AP |
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 | 1.97 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
116
12.5 IPS |
|
Image Classification (F16)
|
100% |
135
14.4 IPS |
|
Image Classification (I8)
|
81% |
202
21.7 IPS |
|
Image Segmentation (F32)
|
100% |
265
1.64 IPS |
|
Image Segmentation (F16)
|
100% |
287
1.77 IPS |
|
Image Segmentation (I8)
|
89% |
433
2.67 IPS |
|
Pose Estimation (F32)
|
100% |
73
0.29 IPS |
|
Pose Estimation (F16)
|
100% |
76
0.31 IPS |
|
Pose Estimation (I8)
|
80% |
81
0.33 IPS |
|
Object Detection (F32)
|
100% |
225
7.90 IPS |
|
Object Detection (F16)
|
100% |
228
8.01 IPS |
|
Object Detection (I8)
|
52% |
325
11.4 IPS |
|
Face Detection (F32)
|
100% |
308
3.54 IPS |
|
Face Detection (F16)
|
100% |
319
3.66 IPS |
|
Face Detection (I8)
|
75% |
348
4.00 IPS |
|
Text Classification (F32)
|
100% |
451
178.4 IPS |
|
Text Classification (F16)
|
100% |
447
177.0 IPS |
|
Machine Translation (F32)
|
100% |
452
69.7 IPS |
|
Machine Translation (F16)
|
100% |
448
69.1 IPS |