iPhone SE
Geekbench ML Score
246
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2026 02:37 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
229
24.6 IPS |
|
|
Image Classification (F16)
|
100% |
235
25.2 IPS |
|
|
Image Classification (I8)
|
81% |
160
17.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
419
2.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
421
2.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
305
1.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
204
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
53
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
415
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
422
14.8 IPS |
|
|
Object Detection (I8)
|
52% |
226
7.94 IPS |
|
|
Face Detection (F32)
|
100% |
609
7.00 IPS |
|
|
Face Detection (F16)
|
100% |
618
7.10 IPS |
|
|
Face Detection (I8)
|
75% |
228
2.62 IPS |
|
|
Text Classification (F32)
|
98% |
66
26.0 IPS |
|
|
Text Classification (F16)
|
98% |
67
26.6 IPS |
|
|
Machine Translation (F32)
|
100% |
394
60.8 IPS |
|
|
Machine Translation (F16)
|
100% |
396
61.0 IPS |
