Google Pixel 6 Pro
Geekbench ML Score
1705
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2022 07:56 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
733
78.5 IPS |
|
|
Image Classification (F16)
|
100% |
5164
553.3 IPS |
|
|
Image Classification (I8)
|
79% |
8719
934.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1040
6.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
6223
38.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
25665
158.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
830
3.36 IPS |
|
|
Pose Estimation (F16)
|
80% |
4584
18.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
11412
46.2 IPS |
|
|
Object Detection (F32)
|
100% |
591
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.43 IPS |
|
|
Object Detection (I8)
|
50% |
1598
56.1 IPS |
|
|
Face Detection (F32)
|
100% |
1519
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
565
6.49 IPS |
|
|
Face Detection (I8)
|
75% |
15301
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
159
63.1 IPS |
|
|
Text Classification (F16)
|
100% |
1085
429.0 IPS |
|
|
Machine Translation (F32)
|
100% |
632
97.4 IPS |
|
|
Machine Translation (F16)
|
100% |
630
97.0 IPS |
