iPhone 8 Plus
Geekbench ML Score
411
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:30 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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% |
371
39.7 IPS |
|
|
Image Classification (F16)
|
100% |
364
39.0 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
3.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
602
3.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
407
2.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
426
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
442
15.5 IPS |
|
|
Object Detection (I8)
|
52% |
492
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
646
7.42 IPS |
|
|
Face Detection (F16)
|
100% |
652
7.49 IPS |
|
|
Face Detection (I8)
|
75% |
571
6.56 IPS |
|
|
Text Classification (F32)
|
100% |
645
255.1 IPS |
|
|
Text Classification (F16)
|
100% |
713
282.0 IPS |
|
|
Machine Translation (F32)
|
100% |
739
113.9 IPS |
|
|
Machine Translation (F16)
|
100% |
747
115.1 IPS |
