iPhone SE
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 07:10 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| Model | iPhone SE |
| Model ID | iPhone8,4 |
| Motherboard | N69uAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
208
22.3 IPS |
|
|
Image Classification (F16)
|
100% |
201
21.6 IPS |
|
|
Image Classification (I8)
|
81% |
290
31.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
371
2.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
558
3.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
306
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
327
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
404
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
384
4.42 IPS |
|
|
Face Detection (F16)
|
100% |
426
4.90 IPS |
|
|
Face Detection (I8)
|
75% |
446
5.13 IPS |
|
|
Text Classification (F32)
|
100% |
442
174.8 IPS |
|
|
Text Classification (F16)
|
100% |
441
174.5 IPS |
|
|
Machine Translation (F32)
|
100% |
452
69.7 IPS |
|
|
Machine Translation (F16)
|
100% |
435
67.0 IPS |
