iPhone SE (2nd generation)
Geekbench ML Score
667
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 03:17 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% |
515
55.1 IPS |
|
|
Image Classification (I8)
|
81% |
338
36.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
785
4.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
785
4.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1083
6.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
308
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
727
25.5 IPS |
|
|
Object Detection (F16)
|
100% |
726
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
604
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
870
9.99 IPS |
|
|
Face Detection (F16)
|
100% |
837
9.62 IPS |
|
|
Face Detection (I8)
|
75% |
675
7.75 IPS |
|
|
Text Classification (F32)
|
100% |
1740
688.2 IPS |
|
|
Text Classification (F16)
|
100% |
1740
688.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1005
154.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1009
155.5 IPS |
