iPhone SE
Geekbench ML Score
242
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 24 2025 03:09 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
155
16.6 IPS |
|
|
Image Classification (F16)
|
100% |
163
17.4 IPS |
|
|
Image Classification (I8)
|
81% |
251
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
307
1.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
510
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
86
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
287
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
266
9.32 IPS |
|
|
Object Detection (I8)
|
52% |
336
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
335
3.85 IPS |
|
|
Face Detection (F16)
|
100% |
319
3.67 IPS |
|
|
Face Detection (I8)
|
75% |
217
2.50 IPS |
|
|
Text Classification (F32)
|
100% |
419
165.8 IPS |
|
|
Text Classification (F16)
|
100% |
409
161.9 IPS |
|
|
Machine Translation (F32)
|
100% |
250
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
351
54.2 IPS |
