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 03:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.1 |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
516
55.3 IPS |
|
|
Image Classification (F16)
|
100% |
514
55.1 IPS |
|
|
Image Classification (I8)
|
81% |
336
36.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
4.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
715
4.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1057
6.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
195
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
321
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
780
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
705
24.7 IPS |
|
|
Object Detection (I8)
|
52% |
598
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
805
9.25 IPS |
|
|
Face Detection (F16)
|
100% |
798
9.17 IPS |
|
|
Face Detection (I8)
|
75% |
676
7.77 IPS |
|
|
Text Classification (F32)
|
100% |
1710
676.3 IPS |
|
|
Text Classification (F16)
|
100% |
1738
687.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1006
155.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1006
155.1 IPS |
