iPhone SE (2nd generation)
Geekbench ML Score
714
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 14 2024 11:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
553
59.2 IPS |
|
|
Image Classification (F16)
|
100% |
541
57.9 IPS |
|
|
Image Classification (I8)
|
81% |
317
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
5.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
5.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1085
6.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
239
0.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
219
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
353
1.43 IPS |
|
|
Object Detection (F32)
|
100% |
814
28.6 IPS |
|
|
Object Detection (F16)
|
100% |
807
28.3 IPS |
|
|
Object Detection (I8)
|
52% |
615
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1018
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
721
8.29 IPS |
|
|
Text Classification (F32)
|
100% |
1757
694.9 IPS |
|
|
Text Classification (F16)
|
100% |
1763
697.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1153
177.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1174
180.9 IPS |
