iPhone SE (2nd generation)
Geekbench ML Score
1376
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1405
150.5 IPS |
|
|
Image Classification (F16)
|
100% |
1615
173.0 IPS |
|
|
Image Classification (I8)
|
81% |
437
46.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3465
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5595
34.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
804
4.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
1468
5.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
4396
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
1497
52.5 IPS |
|
|
Object Detection (F16)
|
99% |
1811
63.5 IPS |
|
|
Object Detection (I8)
|
52% |
621
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
3615
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5257
60.4 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.55 IPS |
|
|
Text Classification (F32)
|
100% |
953
376.8 IPS |
|
|
Text Classification (F16)
|
98% |
1217
481.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1183
182.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1179
181.8 IPS |
