iPhone SE (2nd generation)
Geekbench ML Score
718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:21 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| 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 | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
553
59.3 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.1 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
864
5.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
5.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1100
6.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
323
1.31 IPS |
|
|
Object Detection (F32)
|
100% |
777
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
774
27.2 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
900
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
872
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
703
8.08 IPS |
|
|
Text Classification (F32)
|
100% |
1892
748.2 IPS |
|
|
Text Classification (F16)
|
100% |
1927
762.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
182.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
186.5 IPS |
