iPhone SE (2nd generation)
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
203
21.8 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
378
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
380
2.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
520
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
323
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
324
11.4 IPS |
|
|
Object Detection (I8)
|
52% |
332
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
383
4.40 IPS |
|
|
Face Detection (F16)
|
100% |
385
4.43 IPS |
|
|
Face Detection (I8)
|
75% |
321
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
1041
411.7 IPS |
|
|
Text Classification (F16)
|
100% |
1015
401.5 IPS |
|
|
Machine Translation (F32)
|
100% |
661
101.9 IPS |
|
|
Machine Translation (F16)
|
100% |
657
101.3 IPS |
