iPhone 8 Plus
Geekbench ML Score
496
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 17 2024 06:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
376
40.3 IPS |
|
|
Image Classification (I8)
|
81% |
290
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
621
3.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
856
5.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
207
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
204
0.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
229
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
571
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
586
20.5 IPS |
|
|
Object Detection (I8)
|
52% |
528
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.07 IPS |
|
|
Face Detection (F16)
|
100% |
675
7.75 IPS |
|
|
Face Detection (I8)
|
75% |
588
6.75 IPS |
|
|
Text Classification (F32)
|
100% |
650
257.2 IPS |
|
|
Text Classification (F16)
|
100% |
668
264.3 IPS |
|
|
Machine Translation (F32)
|
100% |
760
117.2 IPS |
|
|
Machine Translation (F16)
|
100% |
773
119.1 IPS |
