Google Pixel 6 Pro
Geekbench ML Score
1855
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2022 09:49 PM |
| Views | 1 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
749
80.3 IPS |
|
|
Image Classification (F16)
|
100% |
5471
586.2 IPS |
|
|
Image Classification (I8)
|
79% |
9200
985.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1022
6.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
6101
37.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
24923
153.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
828
3.35 IPS |
|
|
Pose Estimation (F16)
|
80% |
4645
18.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
11602
46.9 IPS |
|
|
Object Detection (F32)
|
100% |
608
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
395
13.9 IPS |
|
|
Object Detection (I8)
|
50% |
1507
52.9 IPS |
|
|
Face Detection (F32)
|
100% |
1450
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
582
6.69 IPS |
|
|
Face Detection (I8)
|
75% |
15629
179.6 IPS |
|
|
Text Classification (F32)
|
100% |
204
80.5 IPS |
|
|
Text Classification (F16)
|
100% |
1139
450.5 IPS |
|
|
Machine Translation (F32)
|
100% |
658
101.4 IPS |
|
|
Machine Translation (F16)
|
100% |
661
101.9 IPS |
