| Upload Date | December 09 2022 12:14 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4139
443.5 IPS |
|
|
Image Classification (F16)
|
100% |
4112
440.6 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1385
8.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
1374
8.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
730
4.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
7067
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6981
28.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
94% |
4354
152.8 IPS |
|
|
Object Detection (F16)
|
94% |
4398
154.3 IPS |
|
|
Object Detection (I8)
|
52% |
573
20.1 IPS |
|
|
Face Detection (F32)
|
67% |
4021
46.2 IPS |
|
|
Face Detection (F16)
|
67% |
4031
46.3 IPS |
|
|
Face Detection (I8)
|
75% |
546
6.28 IPS |
|
|
Text Classification (F32)
|
100% |
396
156.5 IPS |
|
|
Text Classification (F16)
|
100% |
396
156.5 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.8 IPS |
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