iPhone SE (2nd generation)
Geekbench ML Score
398
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
550
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
544
58.3 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
895
5.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1110
6.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
268
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
221
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
261
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
302
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
290
10.2 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.13 IPS |
|
|
Face Detection (F32)
|
100% |
453
5.20 IPS |
|
|
Face Detection (F16)
|
100% |
398
4.57 IPS |
|
|
Face Detection (I8)
|
75% |
234
2.69 IPS |
|
|
Text Classification (F32)
|
100% |
407
160.8 IPS |
|
|
Text Classification (F16)
|
100% |
488
193.1 IPS |
|
|
Machine Translation (F32)
|
100% |
391
60.2 IPS |
|
|
Machine Translation (F16)
|
100% |
310
47.7 IPS |
