iPhone SE
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 16 2025 01:43 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
207
22.2 IPS |
|
|
Image Classification (F16)
|
100% |
201
21.5 IPS |
|
|
Image Classification (I8)
|
81% |
339
36.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
364
2.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
613
3.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
109
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
305
10.7 IPS |
|
|
Object Detection (I8)
|
52% |
432
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
391
4.49 IPS |
|
|
Face Detection (F16)
|
100% |
390
4.48 IPS |
|
|
Face Detection (I8)
|
75% |
433
4.98 IPS |
|
|
Text Classification (F32)
|
100% |
407
160.8 IPS |
|
|
Text Classification (F16)
|
100% |
405
160.3 IPS |
|
|
Machine Translation (F32)
|
100% |
404
62.3 IPS |
|
|
Machine Translation (F16)
|
100% |
455
70.1 IPS |
