iPhone SE
Geekbench ML Score
177
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
109
11.6 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
329
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
65
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
195
6.83 IPS |
|
|
Object Detection (F16)
|
100% |
194
6.79 IPS |
|
|
Object Detection (I8)
|
52% |
249
8.75 IPS |
|
|
Face Detection (F32)
|
100% |
254
2.92 IPS |
|
|
Face Detection (F16)
|
100% |
254
2.92 IPS |
|
|
Face Detection (I8)
|
75% |
253
2.90 IPS |
|
|
Text Classification (F32)
|
100% |
266
105.3 IPS |
|
|
Text Classification (F16)
|
100% |
266
105.3 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
241
37.2 IPS |
