iPhone SE (2nd generation)
Geekbench ML Score
651
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2024 10:54 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
569
61.0 IPS |
|
|
Image Classification (F16)
|
100% |
556
59.5 IPS |
|
|
Image Classification (I8)
|
81% |
313
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
896
5.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
5.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
1117
6.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
334
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
796
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
791
27.8 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
998
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
939
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
608
6.99 IPS |
|
|
Text Classification (F32)
|
100% |
672
265.8 IPS |
|
|
Text Classification (F16)
|
100% |
635
251.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1197
184.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
186.4 IPS |
