iPhone SE (2nd generation)
Geekbench ML Score
713
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:47 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% |
547
58.6 IPS |
|
|
Image Classification (F16)
|
100% |
535
57.3 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
864
5.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
841
5.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
1098
6.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
265
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
771
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
784
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
908
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
905
10.4 IPS |
|
|
Face Detection (I8)
|
75% |
706
8.11 IPS |
|
|
Text Classification (F32)
|
100% |
2002
791.8 IPS |
|
|
Text Classification (F16)
|
100% |
2002
791.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
182.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1178
181.5 IPS |
