iPhone SE
Geekbench ML Score
221
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 07 2025 05:06 AM |
| Views | 6 |
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% |
184
19.7 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
262
1.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
264
1.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
404
2.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
80
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
225
7.90 IPS |
|
|
Object Detection (F16)
|
100% |
241
8.45 IPS |
|
|
Object Detection (I8)
|
52% |
308
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
307
3.53 IPS |
|
|
Face Detection (F16)
|
100% |
303
3.48 IPS |
|
|
Face Detection (I8)
|
75% |
300
3.45 IPS |
|
|
Text Classification (F32)
|
100% |
336
133.1 IPS |
|
|
Text Classification (F16)
|
100% |
341
134.8 IPS |
|
|
Machine Translation (F32)
|
100% |
289
44.5 IPS |
|
|
Machine Translation (F16)
|
100% |
272
42.0 IPS |
