iPhone 8
Geekbench ML Score
470
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
374
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.1 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
622
3.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
832
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
201
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
186
0.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
498
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
530
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
498
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
674
7.74 IPS |
|
|
Face Detection (F16)
|
100% |
640
7.36 IPS |
|
|
Face Detection (I8)
|
75% |
564
6.48 IPS |
|
|
Text Classification (F32)
|
100% |
589
232.8 IPS |
|
|
Text Classification (F16)
|
100% |
687
271.5 IPS |
|
|
Machine Translation (F32)
|
100% |
715
110.2 IPS |
|
|
Machine Translation (F16)
|
100% |
732
112.8 IPS |
