iPhone SE
Geekbench ML Score
305
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 18 2025 01:31 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
209
22.4 IPS |
|
|
Image Classification (F16)
|
100% |
194
20.8 IPS |
|
|
Image Classification (I8)
|
81% |
343
36.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
392
2.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
382
2.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
627
3.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
113
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
330
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
415
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
400
4.60 IPS |
|
|
Face Detection (F16)
|
100% |
389
4.47 IPS |
|
|
Face Detection (I8)
|
75% |
408
4.69 IPS |
|
|
Text Classification (F32)
|
100% |
430
169.9 IPS |
|
|
Text Classification (F16)
|
100% |
427
169.0 IPS |
|
|
Machine Translation (F32)
|
100% |
426
65.7 IPS |
|
|
Machine Translation (F16)
|
100% |
411
63.4 IPS |
