Upload Date | November 03 2021 04:34 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.1 |
Model | iPhone 12 |
Model ID | iPhone13,2 |
Motherboard | D53gAP |
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 | 3.62 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5243
561.7 IPS |
|
Image Classification (F16)
|
100% |
5132
549.9 IPS |
|
Image Classification (I8)
|
81% |
643
68.8 IPS |
|
Image Segmentation (F32)
|
100% |
1944
12.0 IPS |
|
Image Segmentation (F16)
|
100% |
1901
11.7 IPS |
|
Image Segmentation (I8)
|
89% |
1118
6.91 IPS |
|
Pose Estimation (F32)
|
100% |
17538
71.0 IPS |
|
Pose Estimation (F16)
|
100% |
17214
69.7 IPS |
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
Object Detection (F32)
|
100% |
6433
225.8 IPS |
|
Object Detection (F16)
|
100% |
6415
225.1 IPS |
|
Object Detection (I8)
|
52% |
910
31.9 IPS |
|
Face Detection (F32)
|
100% |
6821
78.4 IPS |
|
Face Detection (F16)
|
100% |
6792
78.0 IPS |
|
Face Detection (I8)
|
75% |
834
9.58 IPS |
|
Text Classification (F32)
|
100% |
1038
410.7 IPS |
|
Text Classification (F16)
|
100% |
1042
412.2 IPS |
|
Machine Translation (F32)
|
100% |
1673
257.9 IPS |
|
Machine Translation (F16)
|
100% |
1665
256.6 IPS |