iPhone SE
Geekbench ML Score
204
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:14 AM |
| 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% |
124
13.3 IPS |
|
|
Image Classification (F16)
|
100% |
127
13.6 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
391
2.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
76
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
230
8.06 IPS |
|
|
Object Detection (F16)
|
100% |
236
8.30 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.68 IPS |
|
|
Face Detection (F32)
|
100% |
289
3.32 IPS |
|
|
Face Detection (F16)
|
100% |
249
2.86 IPS |
|
|
Face Detection (I8)
|
75% |
300
3.44 IPS |
|
|
Text Classification (F32)
|
100% |
296
117.2 IPS |
|
|
Text Classification (F16)
|
100% |
325
128.5 IPS |
|
|
Machine Translation (F32)
|
100% |
226
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
264
40.6 IPS |
