iPhone SE
Geekbench ML Score
532
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | MrTom |
| Upload Date | April 22 2025 10:31 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
495
53.1 IPS |
|
|
Image Classification (F16)
|
100% |
673
72.2 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1165
7.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
1913
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
364
2.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
455
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
861
3.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
704
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
888
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
274
9.63 IPS |
|
|
Face Detection (F32)
|
100% |
1125
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1981
22.8 IPS |
|
|
Face Detection (I8)
|
75% |
269
3.09 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.2 IPS |
|
|
Text Classification (F16)
|
98% |
513
202.8 IPS |
|
|
Machine Translation (F32)
|
100% |
433
66.7 IPS |
|
|
Machine Translation (F16)
|
100% |
466
71.8 IPS |
