Upload Date | September 23 2022 06:32 AM |
Views | 1 |
System Information | |
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Operating System | iOS 16.0 |
Model | iPhone XS Max |
Model ID | iPhone11,6 |
Motherboard | D331pAP |
CPU Information | |
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Name | Apple A12 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.49 GHz |
L1 Instruction Cache | 48.0 KB x 1 |
L1 Data Cache | 32.0 KB x 1 |
L2 Cache | 2.00 MB x 1 |
Memory Information | |
---|---|
Size | 3.67 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
480
51.4 IPS |
|
Image Classification (F16)
|
100% |
474
50.8 IPS |
|
Image Classification (I8)
|
81% |
265
28.4 IPS |
|
Image Segmentation (F32)
|
100% |
771
4.76 IPS |
|
Image Segmentation (F16)
|
100% |
757
4.68 IPS |
|
Image Segmentation (I8)
|
89% |
964
5.96 IPS |
|
Pose Estimation (F32)
|
100% |
233
0.94 IPS |
|
Pose Estimation (F16)
|
100% |
204
0.83 IPS |
|
Pose Estimation (I8)
|
80% |
266
1.07 IPS |
|
Object Detection (F32)
|
100% |
689
24.2 IPS |
|
Object Detection (F16)
|
100% |
676
23.7 IPS |
|
Object Detection (I8)
|
52% |
508
17.8 IPS |
|
Face Detection (F32)
|
100% |
801
9.21 IPS |
|
Face Detection (F16)
|
100% |
803
9.23 IPS |
|
Face Detection (I8)
|
75% |
596
6.85 IPS |
|
Text Classification (F32)
|
100% |
716
283.3 IPS |
|
Text Classification (F16)
|
100% |
734
290.4 IPS |
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
Machine Translation (F16)
|
100% |
995
153.4 IPS |