iPhone SE (2nd generation)
Geekbench ML Score
1634
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 09:27 AM |
| Views | 1 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3143
336.7 IPS |
|
|
Image Classification (F16)
|
100% |
3060
327.9 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1574
9.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
9.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
816
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
8565
34.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8852
35.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
94% |
5331
187.1 IPS |
|
|
Object Detection (F16)
|
94% |
5158
181.0 IPS |
|
|
Object Detection (I8)
|
52% |
628
22.0 IPS |
|
|
Face Detection (F32)
|
67% |
3923
45.1 IPS |
|
|
Face Detection (F16)
|
67% |
3892
44.7 IPS |
|
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
703
277.9 IPS |
|
|
Text Classification (F16)
|
100% |
738
291.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1198
184.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
186.6 IPS |
