iPhone SE (2nd generation)
Geekbench ML Score
1771
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4131
442.7 IPS |
|
|
Image Classification (F16)
|
100% |
4128
442.3 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1606
9.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
1614
9.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
836
5.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
8693
35.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8713
35.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5099
178.9 IPS |
|
|
Object Detection (F16)
|
94% |
5144
180.5 IPS |
|
|
Object Detection (I8)
|
52% |
641
22.5 IPS |
|
|
Face Detection (F32)
|
67% |
5277
60.6 IPS |
|
|
Face Detection (F16)
|
67% |
5287
60.7 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
815
322.3 IPS |
|
|
Text Classification (F16)
|
100% |
770
304.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1203
185.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
186.0 IPS |
