iPhone 8
Geekbench ML Score
462
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 09:55 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% |
371
39.8 IPS |
|
|
Image Classification (F16)
|
100% |
339
36.3 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
603
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
597
3.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
816
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
204
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
178
0.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
192
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
452
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
530
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
497
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
667
7.67 IPS |
|
|
Face Detection (F16)
|
100% |
640
7.36 IPS |
|
|
Face Detection (I8)
|
75% |
571
6.56 IPS |
|
|
Text Classification (F32)
|
100% |
570
225.4 IPS |
|
|
Text Classification (F16)
|
100% |
685
270.8 IPS |
|
|
Machine Translation (F32)
|
100% |
717
110.6 IPS |
|
|
Machine Translation (F16)
|
100% |
733
113.0 IPS |
