iPhone SE (2nd generation)
Geekbench ML Score
1345
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
1260
135.0 IPS |
|
|
Image Classification (F16)
|
100% |
1588
170.2 IPS |
|
|
Image Classification (I8)
|
81% |
416
44.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3479
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5392
33.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
774
4.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
1427
5.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
4404
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
1485
52.1 IPS |
|
|
Object Detection (F16)
|
99% |
1865
65.5 IPS |
|
|
Object Detection (I8)
|
52% |
615
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
3627
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
5362
61.6 IPS |
|
|
Face Detection (I8)
|
75% |
526
6.05 IPS |
|
|
Text Classification (F32)
|
100% |
974
385.3 IPS |
|
|
Text Classification (F16)
|
98% |
1223
483.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1177
181.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1128
173.8 IPS |
