Upload Date | December 08 2022 02:58 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.2 |
Model | iPhone 13 |
Model ID | iPhone14,5 |
Motherboard | D17AP |
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 | 3.56 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
750
80.4 IPS |
|
Image Classification (F16)
|
100% |
712
76.3 IPS |
|
Image Classification (I8)
|
81% |
471
50.5 IPS |
|
Image Segmentation (F32)
|
100% |
1055
6.52 IPS |
|
Image Segmentation (F16)
|
100% |
1009
6.23 IPS |
|
Image Segmentation (I8)
|
89% |
1456
8.99 IPS |
|
Pose Estimation (F32)
|
100% |
391
1.58 IPS |
|
Pose Estimation (F16)
|
100% |
384
1.55 IPS |
|
Pose Estimation (I8)
|
80% |
479
1.94 IPS |
|
Object Detection (F32)
|
100% |
1026
36.0 IPS |
|
Object Detection (F16)
|
100% |
1017
35.7 IPS |
|
Object Detection (I8)
|
52% |
680
23.9 IPS |
|
Face Detection (F32)
|
100% |
1270
14.6 IPS |
|
Face Detection (F16)
|
100% |
1211
13.9 IPS |
|
Face Detection (I8)
|
75% |
838
9.62 IPS |
|
Text Classification (F32)
|
100% |
1033
408.7 IPS |
|
Text Classification (F16)
|
100% |
1137
449.8 IPS |
|
Machine Translation (F32)
|
100% |
2028
312.6 IPS |
|
Machine Translation (F16)
|
100% |
2045
315.1 IPS |
Compare
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