Upload Date | October 22 2021 09:05 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.0.2 |
Model | iPhone 12 Mini |
Model ID | iPhone13,1 |
Motherboard | D52gAP |
CPU Information | |
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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 | 3.63 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
632
67.7 IPS |
|
Image Classification (F16)
|
100% |
623
66.8 IPS |
|
Image Classification (I8)
|
81% |
415
44.5 IPS |
|
Image Segmentation (F32)
|
100% |
968
5.98 IPS |
|
Image Segmentation (F16)
|
100% |
944
5.83 IPS |
|
Image Segmentation (I8)
|
89% |
1376
8.50 IPS |
|
Pose Estimation (F32)
|
100% |
367
1.49 IPS |
|
Pose Estimation (F16)
|
100% |
356
1.44 IPS |
|
Pose Estimation (I8)
|
80% |
434
1.76 IPS |
|
Object Detection (F32)
|
100% |
876
30.8 IPS |
|
Object Detection (F16)
|
100% |
879
30.8 IPS |
|
Object Detection (I8)
|
52% |
702
24.6 IPS |
|
Face Detection (F32)
|
100% |
1079
12.4 IPS |
|
Face Detection (F16)
|
100% |
1053
12.1 IPS |
|
Face Detection (I8)
|
75% |
814
9.35 IPS |
|
Text Classification (F32)
|
100% |
2430
961.1 IPS |
|
Text Classification (F16)
|
100% |
2433
962.2 IPS |
|
Machine Translation (F32)
|
100% |
1679
258.8 IPS |
|
Machine Translation (F16)
|
100% |
1677
258.4 IPS |