iPhone 8
Geekbench ML Score
460
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 10:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
375
40.2 IPS |
|
|
Image Classification (F16)
|
100% |
362
38.7 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
602
3.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
817
5.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
200
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
174
0.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
441
15.5 IPS |
|
|
Object Detection (F16)
|
100% |
529
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
489
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
663
7.61 IPS |
|
|
Face Detection (F16)
|
100% |
638
7.33 IPS |
|
|
Face Detection (I8)
|
75% |
564
6.47 IPS |
|
|
Text Classification (F32)
|
100% |
573
226.8 IPS |
|
|
Text Classification (F16)
|
100% |
648
256.3 IPS |
|
|
Machine Translation (F32)
|
100% |
717
110.5 IPS |
|
|
Machine Translation (F16)
|
100% |
729
112.4 IPS |
