iPhone SE
Geekbench ML Score
239
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 25 2025 05:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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% |
182
19.5 IPS |
|
|
Image Classification (F16)
|
100% |
154
16.5 IPS |
|
|
Image Classification (I8)
|
81% |
266
28.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
308
1.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
299
1.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
451
2.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
282
9.89 IPS |
|
|
Object Detection (F16)
|
100% |
270
9.48 IPS |
|
|
Object Detection (I8)
|
52% |
342
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
328
3.77 IPS |
|
|
Face Detection (F16)
|
100% |
307
3.53 IPS |
|
|
Face Detection (I8)
|
75% |
324
3.72 IPS |
|
|
Text Classification (F32)
|
100% |
329
130.1 IPS |
|
|
Text Classification (F16)
|
100% |
314
124.1 IPS |
|
|
Machine Translation (F32)
|
100% |
263
40.5 IPS |
|
|
Machine Translation (F16)
|
100% |
293
45.1 IPS |
