Upload Date | January 14 2022 11:49 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.2.1 |
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% |
641
68.7 IPS |
|
Image Classification (F16)
|
100% |
592
63.5 IPS |
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
Image Segmentation (F32)
|
100% |
975
6.02 IPS |
|
Image Segmentation (F16)
|
100% |
938
5.79 IPS |
|
Image Segmentation (I8)
|
89% |
1359
8.40 IPS |
|
Pose Estimation (F32)
|
100% |
354
1.43 IPS |
|
Pose Estimation (F16)
|
100% |
345
1.40 IPS |
|
Pose Estimation (I8)
|
80% |
425
1.72 IPS |
|
Object Detection (F32)
|
100% |
846
29.7 IPS |
|
Object Detection (F16)
|
100% |
854
30.0 IPS |
|
Object Detection (I8)
|
52% |
738
25.9 IPS |
|
Face Detection (F32)
|
100% |
1052
12.1 IPS |
|
Face Detection (F16)
|
100% |
1022
11.7 IPS |
|
Face Detection (I8)
|
75% |
808
9.28 IPS |
|
Text Classification (F32)
|
100% |
2354
931.2 IPS |
|
Text Classification (F16)
|
100% |
2346
927.8 IPS |
|
Machine Translation (F32)
|
100% |
1672
257.7 IPS |
|
Machine Translation (F16)
|
100% |
1671
257.5 IPS |