iPhone SE (2nd generation)
Geekbench ML Score
648
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 08:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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% |
546
58.5 IPS |
|
|
Image Classification (F16)
|
100% |
530
56.8 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
814
5.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1079
6.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
258
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
780
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
766
26.9 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
860
9.88 IPS |
|
|
Face Detection (F16)
|
100% |
884
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
686
7.88 IPS |
|
|
Text Classification (F32)
|
100% |
1828
723.1 IPS |
|
|
Text Classification (F16)
|
100% |
1760
696.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
182.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1181
181.9 IPS |
