| Upload Date | December 08 2022 07:50 PM |
| Views | 2 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
729
78.2 IPS |
|
|
Image Classification (F16)
|
100% |
733
78.6 IPS |
|
|
Image Classification (I8)
|
81% |
468
50.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1096
6.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
1052
6.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
1452
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
473
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1052
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1041
36.5 IPS |
|
|
Object Detection (I8)
|
52% |
757
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1288
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1244
14.3 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
996
393.8 IPS |
|
|
Text Classification (F16)
|
100% |
1109
438.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2049
315.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2054
316.6 IPS |
Compare
Set Baseline