iPhone SE (2nd generation)
Geekbench ML Score
307
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
197
21.1 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
371
2.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
515
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
337
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
319
11.2 IPS |
|
|
Object Detection (I8)
|
52% |
307
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
376
4.32 IPS |
|
|
Face Detection (F16)
|
100% |
371
4.27 IPS |
|
|
Face Detection (I8)
|
75% |
337
3.87 IPS |
|
|
Text Classification (F32)
|
100% |
845
334.1 IPS |
|
|
Text Classification (F16)
|
100% |
845
334.2 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.2 IPS |
|
|
Machine Translation (F16)
|
100% |
655
100.9 IPS |
