iPhone SE
Geekbench ML Score
250
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 18 2024 09:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
147
15.8 IPS |
|
|
Image Classification (F16)
|
100% |
197
21.1 IPS |
|
|
Image Classification (I8)
|
81% |
213
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
321
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
476
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
78
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.83 IPS |
|
|
Object Detection (F16)
|
100% |
278
9.76 IPS |
|
|
Object Detection (I8)
|
52% |
348
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
315
3.62 IPS |
|
|
Face Detection (F16)
|
100% |
313
3.60 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.58 IPS |
|
|
Text Classification (F32)
|
100% |
467
184.9 IPS |
|
|
Text Classification (F16)
|
100% |
440
174.0 IPS |
|
|
Machine Translation (F32)
|
100% |
317
48.9 IPS |
|
|
Machine Translation (F16)
|
100% |
308
47.4 IPS |
