iPhone 8
Geekbench ML Score
443
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 21 2022 09:53 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% |
326
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
316
33.8 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
543
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
562
3.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
814
5.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
176
0.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
164
0.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
189
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
517
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
526
18.5 IPS |
|
|
Object Detection (I8)
|
52% |
496
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
631
7.25 IPS |
|
|
Face Detection (F16)
|
100% |
641
7.37 IPS |
|
|
Face Detection (I8)
|
75% |
576
6.61 IPS |
|
|
Text Classification (F32)
|
100% |
625
247.2 IPS |
|
|
Text Classification (F16)
|
100% |
675
267.0 IPS |
|
|
Machine Translation (F32)
|
100% |
716
110.4 IPS |
|
|
Machine Translation (F16)
|
100% |
734
113.1 IPS |
