iPhone SE (2nd generation)
Geekbench ML Score
1784
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 02:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4398
471.2 IPS |
|
|
Image Classification (F16)
|
100% |
4471
479.1 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1506
9.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
1504
9.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
832
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
8570
34.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8628
34.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
94% |
5333
187.2 IPS |
|
|
Object Detection (F16)
|
94% |
4959
174.0 IPS |
|
|
Object Detection (I8)
|
52% |
625
21.9 IPS |
|
|
Face Detection (F32)
|
67% |
5694
65.4 IPS |
|
|
Face Detection (F16)
|
67% |
5677
65.2 IPS |
|
|
Face Detection (I8)
|
75% |
603
6.93 IPS |
|
|
Text Classification (F32)
|
100% |
845
334.1 IPS |
|
|
Text Classification (F16)
|
100% |
850
336.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1182
182.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1191
183.5 IPS |
