iPhone SE
Geekbench ML Score
256
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 19 2025 10:48 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPhone SE |
| Model ID | iPhone8,4 |
| Motherboard | N69AP |
| 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% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
185
19.9 IPS |
|
|
Image Classification (I8)
|
81% |
307
32.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
543
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
91
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
301
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
275
9.66 IPS |
|
|
Object Detection (I8)
|
52% |
370
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
339
3.90 IPS |
|
|
Face Detection (F16)
|
100% |
304
3.49 IPS |
|
|
Face Detection (I8)
|
75% |
343
3.94 IPS |
|
|
Text Classification (F32)
|
100% |
341
134.7 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.0 IPS |
|
|
Machine Translation (F32)
|
100% |
261
40.2 IPS |
|
|
Machine Translation (F16)
|
100% |
256
39.5 IPS |
