iPhone SE
Geekbench ML Score
319
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 31 2025 08:39 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.1 |
| 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% |
200
21.4 IPS |
|
|
Image Classification (F16)
|
100% |
199
21.3 IPS |
|
|
Image Classification (I8)
|
81% |
316
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
381
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
2.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
624
3.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
352
12.3 IPS |
|
|
Object Detection (F16)
|
100% |
354
12.4 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
428
4.92 IPS |
|
|
Face Detection (F16)
|
100% |
416
4.78 IPS |
|
|
Face Detection (I8)
|
75% |
469
5.38 IPS |
|
|
Text Classification (F32)
|
100% |
470
185.8 IPS |
|
|
Text Classification (F16)
|
100% |
475
188.0 IPS |
|
|
Machine Translation (F32)
|
100% |
448
69.0 IPS |
|
|
Machine Translation (F16)
|
100% |
442
68.2 IPS |
