iPhone SE
Geekbench ML Score
316
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 21 2025 07:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
205
21.9 IPS |
|
|
Image Classification (F16)
|
100% |
198
21.2 IPS |
|
|
Image Classification (I8)
|
81% |
346
37.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
399
2.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
647
4.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
322
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
327
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
465
16.3 IPS |
|
|
Face Detection (F32)
|
100% |
413
4.74 IPS |
|
|
Face Detection (F16)
|
100% |
412
4.73 IPS |
|
|
Face Detection (I8)
|
75% |
464
5.33 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.0 IPS |
|
|
Text Classification (F16)
|
100% |
467
184.8 IPS |
|
|
Machine Translation (F32)
|
100% |
399
61.4 IPS |
|
|
Machine Translation (F16)
|
100% |
439
67.7 IPS |
