iPhone SE (2nd generation)
Geekbench ML Score
657
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:29 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% |
437
46.8 IPS |
|
|
Image Classification (F16)
|
100% |
444
47.6 IPS |
|
|
Image Classification (I8)
|
81% |
305
32.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
5.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
837
5.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1086
6.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
172
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
326
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
789
27.7 IPS |
|
|
Object Detection (F16)
|
100% |
780
27.4 IPS |
|
|
Object Detection (I8)
|
52% |
597
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
946
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
954
11.0 IPS |
|
|
Face Detection (I8)
|
75% |
715
8.22 IPS |
|
|
Text Classification (F32)
|
100% |
1944
768.7 IPS |
|
|
Text Classification (F16)
|
100% |
1848
730.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1227
189.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1212
186.7 IPS |
