Upload Date | May 17 2022 08:47 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
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% |
787
84.3 IPS |
|
Image Classification (F16)
|
100% |
761
81.5 IPS |
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
Image Segmentation (F32)
|
100% |
1144
7.07 IPS |
|
Image Segmentation (F16)
|
100% |
1128
6.97 IPS |
|
Image Segmentation (I8)
|
89% |
1442
8.91 IPS |
|
Pose Estimation (F32)
|
100% |
435
1.76 IPS |
|
Pose Estimation (F16)
|
100% |
426
1.72 IPS |
|
Pose Estimation (I8)
|
80% |
496
2.01 IPS |
|
Object Detection (F32)
|
100% |
1114
39.1 IPS |
|
Object Detection (F16)
|
100% |
1125
39.5 IPS |
|
Object Detection (I8)
|
52% |
762
26.7 IPS |
|
Face Detection (F32)
|
100% |
1343
15.4 IPS |
|
Face Detection (F16)
|
100% |
1320
15.2 IPS |
|
Face Detection (I8)
|
75% |
857
9.85 IPS |
|
Text Classification (F32)
|
100% |
1060
419.1 IPS |
|
Text Classification (F16)
|
100% |
1138
450.1 IPS |
|
Machine Translation (F32)
|
100% |
1952
300.9 IPS |
|
Machine Translation (F16)
|
100% |
1961
302.2 IPS |