iPhone SE
Geekbench ML Score
141
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 07 2025 04:51 AM |
| Views | 8 |
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% |
120
12.9 IPS |
|
|
Image Classification (F16)
|
100% |
120
12.9 IPS |
|
|
Image Classification (I8)
|
81% |
224
24.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
210
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
166
1.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
167
1.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
45
0.18 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.66 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.36 IPS |
|
|
Object Detection (I8)
|
52% |
154
5.40 IPS |
|
|
Face Detection (F32)
|
100% |
192
2.20 IPS |
|
|
Face Detection (F16)
|
100% |
157
1.81 IPS |
|
|
Face Detection (I8)
|
75% |
130
1.49 IPS |
|
|
Text Classification (F32)
|
100% |
222
88.0 IPS |
|
|
Text Classification (F16)
|
100% |
218
86.2 IPS |
|
|
Machine Translation (F32)
|
100% |
170
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
174
26.8 IPS |
