iPhone SE (2nd generation)
Geekbench ML Score
1320
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 12 2025 05:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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% |
1140
122.1 IPS |
|
|
Image Classification (F16)
|
100% |
1456
156.0 IPS |
|
|
Image Classification (I8)
|
81% |
366
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
3469
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5344
33.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
717
4.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
1424
5.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
4403
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
1569
55.0 IPS |
|
|
Object Detection (F16)
|
99% |
1864
65.4 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
3623
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5214
59.9 IPS |
|
|
Face Detection (I8)
|
75% |
541
6.21 IPS |
|
|
Text Classification (F32)
|
100% |
975
385.6 IPS |
|
|
Text Classification (F16)
|
98% |
1217
481.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
183.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1183
182.4 IPS |
