iPhone 8 Plus
Geekbench ML Score
404
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 06:52 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
374
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
366
39.3 IPS |
|
|
Image Classification (I8)
|
81% |
410
43.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
274
1.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
272
1.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
704
4.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
162
0.65 IPS |
|
|
Object Detection (F32)
|
100% |
357
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
447
15.7 IPS |
|
|
Object Detection (I8)
|
52% |
492
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
594
6.82 IPS |
|
|
Face Detection (F16)
|
100% |
599
6.89 IPS |
|
|
Face Detection (I8)
|
75% |
597
6.86 IPS |
|
|
Text Classification (F32)
|
100% |
580
229.5 IPS |
|
|
Text Classification (F16)
|
100% |
652
257.9 IPS |
|
|
Machine Translation (F32)
|
100% |
766
118.0 IPS |
|
|
Machine Translation (F16)
|
100% |
740
114.1 IPS |
