iPhone 8 Plus
Geekbench ML Score
423
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:27 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
375
40.2 IPS |
|
|
Image Classification (F16)
|
100% |
363
38.9 IPS |
|
|
Image Classification (I8)
|
81% |
285
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
224
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
706
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
167
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
445
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
444
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
513
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
660
7.59 IPS |
|
|
Face Detection (F16)
|
100% |
649
7.45 IPS |
|
|
Face Detection (I8)
|
75% |
602
6.92 IPS |
|
|
Text Classification (F32)
|
100% |
651
257.3 IPS |
|
|
Text Classification (F16)
|
100% |
720
284.9 IPS |
|
|
Machine Translation (F32)
|
100% |
779
120.0 IPS |
|
|
Machine Translation (F16)
|
100% |
752
116.0 IPS |
