Upload Date | December 08 2022 06:41 PM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.1.2 |
Model | iPhone 13 Pro Max |
Model ID | iPhone14,3 |
Motherboard | D64AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 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 | 5.49 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1890
202.6 IPS |
|
Image Classification (F16)
|
100% |
2708
290.1 IPS |
|
Image Classification (I8)
|
81% |
297
31.8 IPS |
|
Image Segmentation (F32)
|
100% |
5724
35.4 IPS |
|
Image Segmentation (F16)
|
100% |
8009
49.5 IPS |
|
Image Segmentation (I8)
|
89% |
544
3.36 IPS |
|
Pose Estimation (F32)
|
100% |
1709
6.92 IPS |
|
Pose Estimation (F16)
|
100% |
4866
19.7 IPS |
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
Object Detection (F32)
|
100% |
1890
66.3 IPS |
|
Object Detection (F16)
|
100% |
2609
91.5 IPS |
|
Object Detection (I8)
|
52% |
422
14.8 IPS |
|
Face Detection (F32)
|
100% |
3659
42.0 IPS |
|
Face Detection (F16)
|
97% |
6174
70.9 IPS |
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
Text Classification (F32)
|
100% |
929
367.5 IPS |
|
Text Classification (F16)
|
100% |
1043
412.5 IPS |
|
Machine Translation (F32)
|
100% |
939
144.7 IPS |
|
Machine Translation (F16)
|
100% |
950
146.5 IPS |
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