iPhone SE
Geekbench ML Score
438
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 05:10 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
483
51.8 IPS |
|
|
Image Classification (F16)
|
100% |
660
70.8 IPS |
|
|
Image Classification (I8)
|
81% |
124
13.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
7.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1901
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
233
1.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
452
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
857
3.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
43
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
660
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
785
27.5 IPS |
|
|
Object Detection (I8)
|
52% |
175
6.12 IPS |
|
|
Face Detection (F32)
|
100% |
1109
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
1811
20.8 IPS |
|
|
Face Detection (I8)
|
75% |
174
2.00 IPS |
|
|
Text Classification (F32)
|
100% |
408
161.3 IPS |
|
|
Text Classification (F16)
|
98% |
464
183.6 IPS |
|
|
Machine Translation (F32)
|
100% |
288
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
275
42.3 IPS |
