iPhone SE (2nd generation)
Geekbench ML Score
652
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
522
55.9 IPS |
|
|
Image Classification (F16)
|
100% |
516
55.2 IPS |
|
|
Image Classification (I8)
|
81% |
325
34.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
5.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
814
5.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1072
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
226
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
219
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
315
1.28 IPS |
|
|
Object Detection (F32)
|
100% |
743
26.1 IPS |
|
|
Object Detection (F16)
|
100% |
744
26.1 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
786
9.03 IPS |
|
|
Face Detection (F16)
|
100% |
646
7.43 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.32 IPS |
|
|
Text Classification (F32)
|
100% |
1587
627.7 IPS |
|
|
Text Classification (F16)
|
100% |
1670
660.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1128
173.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1075
165.7 IPS |
