| Upload Date | December 08 2022 07:00 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1131
121.2 IPS |
|
|
Image Classification (F16)
|
100% |
1420
152.2 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3223
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
5325
32.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
519
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
1326
5.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
3747
15.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
1390
48.8 IPS |
|
|
Object Detection (F16)
|
99% |
1648
57.8 IPS |
|
|
Object Detection (I8)
|
52% |
401
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
3261
37.5 IPS |
|
|
Face Detection (F16)
|
97% |
4924
56.6 IPS |
|
|
Face Detection (I8)
|
75% |
394
4.53 IPS |
|
|
Text Classification (F32)
|
100% |
855
338.2 IPS |
|
|
Text Classification (F16)
|
98% |
1059
418.8 IPS |
|
|
Machine Translation (F32)
|
100% |
648
99.8 IPS |
|
|
Machine Translation (F16)
|
100% |
650
100.2 IPS |
Compare
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