iPhone SE
Geekbench ML Score
524
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 31 2025 08:42 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
496
53.2 IPS |
|
|
Image Classification (F16)
|
100% |
563
60.4 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1166
7.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
1898
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
360
2.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
457
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
861
3.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
706
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
936
32.9 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
1130
13.0 IPS |
|
|
Face Detection (F16)
|
97% |
1991
22.9 IPS |
|
|
Face Detection (I8)
|
75% |
265
3.05 IPS |
|
|
Text Classification (F32)
|
100% |
407
160.8 IPS |
|
|
Text Classification (F16)
|
98% |
506
200.0 IPS |
|
|
Machine Translation (F32)
|
100% |
436
67.1 IPS |
|
|
Machine Translation (F16)
|
100% |
454
69.9 IPS |
