iPhone 8
Geekbench ML Score
370
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 09:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
358
38.4 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.8 IPS |
|
|
Image Classification (I8)
|
81% |
299
32.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
394
2.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
430
2.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
735
4.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
171
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
128
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
341
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
340
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
536
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
457
5.25 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.27 IPS |
|
|
Face Detection (I8)
|
75% |
576
6.61 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.1 IPS |
|
|
Text Classification (F16)
|
100% |
435
172.0 IPS |
|
|
Machine Translation (F32)
|
100% |
617
95.1 IPS |
|
|
Machine Translation (F16)
|
100% |
692
106.6 IPS |
