iPhone SE (2nd generation)
Geekbench ML Score
684
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 01:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
551
59.1 IPS |
|
|
Image Classification (F16)
|
100% |
537
57.6 IPS |
|
|
Image Classification (I8)
|
81% |
323
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
864
5.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
836
5.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
1100
6.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
789
27.7 IPS |
|
|
Object Detection (F16)
|
100% |
785
27.6 IPS |
|
|
Object Detection (I8)
|
52% |
609
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
895
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
2004
792.6 IPS |
|
|
Text Classification (F16)
|
100% |
1999
790.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1168
180.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1195
184.2 IPS |
