Upload Date | November 24 2022 04:30 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.7.1 |
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 | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
766
82.1 IPS |
|
Image Classification (F16)
|
100% |
732
78.4 IPS |
|
Image Classification (I8)
|
81% |
459
49.2 IPS |
|
Image Segmentation (F32)
|
100% |
1062
6.56 IPS |
|
Image Segmentation (F16)
|
100% |
1052
6.50 IPS |
|
Image Segmentation (I8)
|
89% |
1472
9.09 IPS |
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
Pose Estimation (F16)
|
100% |
410
1.66 IPS |
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
Object Detection (F32)
|
100% |
1054
37.0 IPS |
|
Object Detection (F16)
|
100% |
1057
37.1 IPS |
|
Object Detection (I8)
|
52% |
745
26.1 IPS |
|
Face Detection (F32)
|
100% |
1302
15.0 IPS |
|
Face Detection (F16)
|
100% |
1278
14.7 IPS |
|
Face Detection (I8)
|
75% |
854
9.82 IPS |
|
Text Classification (F32)
|
100% |
999
395.2 IPS |
|
Text Classification (F16)
|
100% |
1068
422.4 IPS |
|
Machine Translation (F32)
|
100% |
1957
301.6 IPS |
|
Machine Translation (F16)
|
100% |
1970
303.6 IPS |