iPhone 8 Plus
Geekbench ML Score
445
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2023 06:29 PM |
| Views | 50 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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% |
366
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
363
38.9 IPS |
|
|
Image Classification (I8)
|
81% |
358
38.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
445
2.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
533
3.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
762
4.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
184
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
157
0.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
188
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
445
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
509
17.9 IPS |
|
|
Object Detection (I8)
|
52% |
489
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
659
7.58 IPS |
|
|
Face Detection (F16)
|
100% |
638
7.33 IPS |
|
|
Face Detection (I8)
|
75% |
565
6.49 IPS |
|
|
Text Classification (F32)
|
100% |
569
225.1 IPS |
|
|
Text Classification (F16)
|
100% |
613
242.6 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.6 IPS |
|
|
Machine Translation (F16)
|
100% |
720
111.0 IPS |
