iPhone SE (2nd generation)
Geekbench ML Score
1776
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:22 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4528
485.1 IPS |
|
|
Image Classification (F16)
|
100% |
4654
498.6 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1457
9.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
1459
9.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
806
4.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
8461
34.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8675
35.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
94% |
5150
180.7 IPS |
|
|
Object Detection (F16)
|
94% |
5111
179.4 IPS |
|
|
Object Detection (I8)
|
52% |
626
22.0 IPS |
|
|
Face Detection (F32)
|
67% |
5811
66.8 IPS |
|
|
Face Detection (F16)
|
67% |
5821
66.9 IPS |
|
|
Face Detection (I8)
|
75% |
605
6.95 IPS |
|
|
Text Classification (F32)
|
100% |
807
319.0 IPS |
|
|
Text Classification (F16)
|
100% |
819
324.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1157
178.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1194
184.0 IPS |
