iPhone SE
Geekbench ML Score
281
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 04 2026 02:52 PM |
| Views | 9 |
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% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
187
20.1 IPS |
|
|
Image Classification (I8)
|
81% |
301
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
344
2.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
551
3.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
321
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
390
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
374
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
358
4.12 IPS |
|
|
Face Detection (I8)
|
75% |
382
4.39 IPS |
|
|
Text Classification (F32)
|
100% |
413
163.2 IPS |
|
|
Text Classification (F16)
|
100% |
414
163.7 IPS |
|
|
Machine Translation (F32)
|
100% |
318
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
387
59.7 IPS |
