iPhone SE
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 07 2025 07:33 PM |
| Views | 7 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
200
21.4 IPS |
|
|
Image Classification (I8)
|
81% |
315
33.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
390
2.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
637
3.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
355
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
357
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
480
16.8 IPS |
|
|
Face Detection (F32)
|
100% |
431
4.95 IPS |
|
|
Face Detection (F16)
|
100% |
432
4.96 IPS |
|
|
Face Detection (I8)
|
75% |
484
5.56 IPS |
|
|
Text Classification (F32)
|
100% |
499
197.5 IPS |
|
|
Text Classification (F16)
|
100% |
505
199.6 IPS |
|
|
Machine Translation (F32)
|
100% |
449
69.3 IPS |
|
|
Machine Translation (F16)
|
100% |
445
68.6 IPS |
