Upload Date | May 17 2022 01:05 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
Model | iPhone 13 Pro |
Model ID | iPhone14,2 |
Motherboard | D63AP |
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 | 5.52 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
778
83.3 IPS |
|
Image Classification (F16)
|
100% |
749
80.3 IPS |
|
Image Classification (I8)
|
81% |
455
48.8 IPS |
|
Image Segmentation (F32)
|
100% |
1115
6.88 IPS |
|
Image Segmentation (F16)
|
100% |
1073
6.63 IPS |
|
Image Segmentation (I8)
|
89% |
1432
8.84 IPS |
|
Pose Estimation (F32)
|
100% |
418
1.69 IPS |
|
Pose Estimation (F16)
|
100% |
413
1.67 IPS |
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
Object Detection (F32)
|
100% |
1099
38.6 IPS |
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
Object Detection (I8)
|
52% |
747
26.2 IPS |
|
Face Detection (F32)
|
100% |
1322
15.2 IPS |
|
Face Detection (F16)
|
100% |
1299
14.9 IPS |
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
Text Classification (F32)
|
100% |
1060
419.3 IPS |
|
Text Classification (F16)
|
100% |
1040
411.5 IPS |
|
Machine Translation (F32)
|
100% |
1965
302.8 IPS |
|
Machine Translation (F16)
|
100% |
1968
303.2 IPS |