iPhone SE
Geekbench ML Score
453
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 19 2025 10:40 PM |
| Views | 9 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
487
52.1 IPS |
|
|
Image Classification (F16)
|
100% |
671
71.9 IPS |
|
|
Image Classification (I8)
|
81% |
182
19.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
5.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1611
9.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
342
2.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
799
3.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
62
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
416
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
738
25.9 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.10 IPS |
|
|
Face Detection (F32)
|
100% |
671
7.71 IPS |
|
|
Face Detection (F16)
|
97% |
1146
13.2 IPS |
|
|
Face Detection (I8)
|
75% |
249
2.86 IPS |
|
|
Text Classification (F32)
|
100% |
444
175.6 IPS |
|
|
Text Classification (F16)
|
98% |
494
195.2 IPS |
|
|
Machine Translation (F32)
|
100% |
406
62.5 IPS |
|
|
Machine Translation (F16)
|
100% |
423
65.1 IPS |
