iPhone 8
Geekbench ML Score
460
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 10:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
372
39.9 IPS |
|
|
Image Classification (F16)
|
100% |
328
35.1 IPS |
|
|
Image Classification (I8)
|
81% |
269
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
3.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
834
5.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
199
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
190
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
497
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
520
18.3 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
675
7.76 IPS |
|
|
Face Detection (F16)
|
100% |
635
7.29 IPS |
|
|
Face Detection (I8)
|
75% |
562
6.46 IPS |
|
|
Text Classification (F32)
|
100% |
578
228.4 IPS |
|
|
Text Classification (F16)
|
100% |
680
268.9 IPS |
|
|
Machine Translation (F32)
|
100% |
723
111.4 IPS |
|
|
Machine Translation (F16)
|
100% |
720
110.9 IPS |
