iPhone SE (2nd generation)
Geekbench ML Score
721
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
550
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.8 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
866
5.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
5.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1109
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
268
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
331
1.34 IPS |
|
|
Object Detection (F32)
|
100% |
780
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
783
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
598
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
914
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
844
9.70 IPS |
|
|
Face Detection (I8)
|
75% |
692
7.95 IPS |
|
|
Text Classification (F32)
|
100% |
2010
794.8 IPS |
|
|
Text Classification (F16)
|
100% |
2006
793.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1165
179.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
183.6 IPS |
