iPhone SE
Geekbench ML Score
538
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 03 2026 02:22 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8 |
| 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% |
482
51.7 IPS |
|
|
Image Classification (F16)
|
100% |
667
71.5 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1167
7.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
366
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
453
1.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
862
3.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
702
24.6 IPS |
|
|
Object Detection (F16)
|
100% |
960
33.7 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.65 IPS |
|
|
Face Detection (F32)
|
100% |
1125
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1982
22.8 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
431
170.4 IPS |
|
|
Text Classification (F16)
|
98% |
634
250.7 IPS |
|
|
Machine Translation (F32)
|
100% |
441
68.0 IPS |
|
|
Machine Translation (F16)
|
100% |
436
67.2 IPS |
