iPhone SE
Geekbench ML Score
167
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 17 2025 04:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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% |
94
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
174
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
216
1.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
1.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
279
1.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
61
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
168
5.89 IPS |
|
|
Object Detection (F16)
|
100% |
166
5.83 IPS |
|
|
Object Detection (I8)
|
52% |
228
8.00 IPS |
|
|
Face Detection (F32)
|
100% |
205
2.35 IPS |
|
|
Face Detection (F16)
|
100% |
205
2.35 IPS |
|
|
Face Detection (I8)
|
75% |
228
2.62 IPS |
|
|
Text Classification (F32)
|
100% |
323
127.6 IPS |
|
|
Text Classification (F16)
|
100% |
330
130.7 IPS |
|
|
Machine Translation (F32)
|
100% |
240
37.0 IPS |
|
|
Machine Translation (F16)
|
100% |
321
49.5 IPS |
