Upload Date | January 25 2023 09:23 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.3 |
Model | iPhone 12 Pro Max |
Model ID | iPhone13,4 |
Motherboard | D54pAP |
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 | 5.54 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
612
65.6 IPS |
|
Image Classification (F16)
|
100% |
622
66.6 IPS |
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
Image Segmentation (F32)
|
100% |
1005
6.21 IPS |
|
Image Segmentation (F16)
|
100% |
994
6.14 IPS |
|
Image Segmentation (I8)
|
89% |
1395
8.62 IPS |
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
Pose Estimation (F16)
|
100% |
341
1.38 IPS |
|
Pose Estimation (I8)
|
80% |
445
1.80 IPS |
|
Object Detection (F32)
|
100% |
876
30.7 IPS |
|
Object Detection (F16)
|
100% |
611
21.4 IPS |
|
Object Detection (I8)
|
52% |
687
24.1 IPS |
|
Face Detection (F32)
|
100% |
753
8.66 IPS |
|
Face Detection (F16)
|
100% |
995
11.4 IPS |
|
Face Detection (I8)
|
75% |
757
8.70 IPS |
|
Text Classification (F32)
|
100% |
871
344.3 IPS |
|
Text Classification (F16)
|
100% |
638
252.4 IPS |
|
Machine Translation (F32)
|
100% |
1514
233.4 IPS |
|
Machine Translation (F16)
|
100% |
1665
256.6 IPS |