iPhone SE (2nd generation)
Geekbench ML Score
198
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:25 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
278
29.8 IPS |
|
|
Image Classification (F16)
|
100% |
166
17.8 IPS |
|
|
Image Classification (I8)
|
81% |
104
11.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
273
1.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
291
1.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
708
4.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
88
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
195
6.83 IPS |
|
|
Object Detection (F16)
|
100% |
172
6.03 IPS |
|
|
Object Detection (I8)
|
52% |
239
8.37 IPS |
|
|
Face Detection (F32)
|
100% |
229
2.64 IPS |
|
|
Face Detection (F16)
|
100% |
260
2.99 IPS |
|
|
Face Detection (I8)
|
75% |
205
2.36 IPS |
|
|
Text Classification (F32)
|
100% |
337
133.2 IPS |
|
|
Text Classification (F16)
|
100% |
183
72.4 IPS |
|
|
Machine Translation (F32)
|
100% |
180
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
191
29.4 IPS |
