iPhone 8
Geekbench ML Score
459
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 11:35 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% |
364
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
362
38.8 IPS |
|
|
Image Classification (I8)
|
81% |
289
31.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
3.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
803
4.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
171
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
443
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
517
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
492
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
656
7.54 IPS |
|
|
Face Detection (F16)
|
100% |
639
7.34 IPS |
|
|
Face Detection (I8)
|
75% |
578
6.64 IPS |
|
|
Text Classification (F32)
|
100% |
580
229.3 IPS |
|
|
Text Classification (F16)
|
100% |
652
257.9 IPS |
|
|
Machine Translation (F32)
|
100% |
725
111.8 IPS |
|
|
Machine Translation (F16)
|
100% |
729
112.3 IPS |
