iPhone 8
Geekbench ML Score
421
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 09:56 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% |
362
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
362
38.8 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
599
3.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
830
5.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
195
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
171
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
173
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
392
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
426
14.9 IPS |
|
|
Object Detection (I8)
|
52% |
453
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
541
6.21 IPS |
|
|
Face Detection (F16)
|
100% |
541
6.22 IPS |
|
|
Face Detection (I8)
|
75% |
553
6.35 IPS |
|
|
Text Classification (F32)
|
100% |
428
169.2 IPS |
|
|
Text Classification (F16)
|
100% |
574
227.0 IPS |
|
|
Machine Translation (F32)
|
100% |
591
91.0 IPS |
|
|
Machine Translation (F16)
|
100% |
648
99.8 IPS |
