Upload Date | August 13 2023 10:08 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.1.2 |
Model | iPhone 13 Pro |
Model ID | iPhone14,2 |
Motherboard | D63AP |
CPU Information | |
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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 | 5.52 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
718
77.0 IPS |
|
Image Classification (F16)
|
100% |
676
72.4 IPS |
|
Image Classification (I8)
|
81% |
425
45.6 IPS |
|
Image Segmentation (F32)
|
100% |
1132
6.99 IPS |
|
Image Segmentation (F16)
|
100% |
1048
6.48 IPS |
|
Image Segmentation (I8)
|
89% |
1424
8.79 IPS |
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
Pose Estimation (F16)
|
100% |
368
1.49 IPS |
|
Pose Estimation (I8)
|
80% |
444
1.80 IPS |
|
Object Detection (F32)
|
100% |
950
33.3 IPS |
|
Object Detection (F16)
|
100% |
968
34.0 IPS |
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
Face Detection (F32)
|
100% |
1165
13.4 IPS |
|
Face Detection (F16)
|
100% |
1108
12.7 IPS |
|
Face Detection (I8)
|
75% |
837
9.62 IPS |
|
Text Classification (F32)
|
100% |
954
377.5 IPS |
|
Text Classification (F16)
|
100% |
1074
424.9 IPS |
|
Machine Translation (F32)
|
100% |
2045
315.2 IPS |
|
Machine Translation (F16)
|
100% |
2043
314.9 IPS |