iPhone SE
Geekbench ML Score
493
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 09 2026 11:56 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| 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% |
433
46.4 IPS |
|
|
Image Classification (F16)
|
100% |
666
71.4 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
959
5.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
1559
9.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
366
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
404
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
67
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
584
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
888
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.69 IPS |
|
|
Face Detection (F32)
|
100% |
933
10.7 IPS |
|
|
Face Detection (F16)
|
97% |
1678
19.3 IPS |
|
|
Face Detection (I8)
|
75% |
272
3.12 IPS |
|
|
Text Classification (F32)
|
100% |
461
182.3 IPS |
|
|
Text Classification (F16)
|
98% |
502
198.7 IPS |
|
|
Machine Translation (F32)
|
100% |
435
67.0 IPS |
|
|
Machine Translation (F16)
|
100% |
436
67.2 IPS |
