Upload Date | May 17 2022 05:38 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
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 | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1471
157.6 IPS |
|
Image Classification (F16)
|
100% |
1988
213.0 IPS |
|
Image Classification (I8)
|
81% |
514
55.0 IPS |
|
Image Segmentation (F32)
|
100% |
3502
21.6 IPS |
|
Image Segmentation (F16)
|
100% |
5223
32.3 IPS |
|
Image Segmentation (I8)
|
89% |
599
3.70 IPS |
|
Pose Estimation (F32)
|
100% |
1307
5.29 IPS |
|
Pose Estimation (F16)
|
100% |
3660
14.8 IPS |
|
Pose Estimation (I8)
|
80% |
102
0.41 IPS |
|
Object Detection (F32)
|
100% |
1485
52.1 IPS |
|
Object Detection (F16)
|
99% |
1787
62.7 IPS |
|
Object Detection (I8)
|
52% |
809
28.4 IPS |
|
Face Detection (F32)
|
100% |
3169
36.4 IPS |
|
Face Detection (F16)
|
97% |
4949
56.9 IPS |
|
Face Detection (I8)
|
75% |
446
5.12 IPS |
|
Text Classification (F32)
|
100% |
824
325.8 IPS |
|
Text Classification (F16)
|
98% |
1068
422.6 IPS |
|
Machine Translation (F32)
|
100% |
1599
246.4 IPS |
|
Machine Translation (F16)
|
100% |
1592
245.4 IPS |