iPhone SE
Geekbench ML Score
261
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 09 2026 11:52 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| 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% |
140
15.0 IPS |
|
|
Image Classification (F16)
|
100% |
154
16.5 IPS |
|
|
Image Classification (I8)
|
81% |
259
27.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
279
1.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
293
1.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
506
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
289
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
192
6.75 IPS |
|
|
Object Detection (I8)
|
52% |
401
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
367
4.21 IPS |
|
|
Face Detection (F16)
|
100% |
374
4.29 IPS |
|
|
Face Detection (I8)
|
75% |
415
4.77 IPS |
|
|
Text Classification (F32)
|
100% |
459
181.7 IPS |
|
|
Text Classification (F16)
|
100% |
460
181.8 IPS |
|
|
Machine Translation (F32)
|
100% |
440
67.9 IPS |
|
|
Machine Translation (F16)
|
100% |
434
66.9 IPS |
