Google Pixel 6 Pro
Geekbench ML Score
1585
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2021 10:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 11.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
697
74.7 IPS |
|
|
Image Classification (F16)
|
100% |
4941
529.4 IPS |
|
|
Image Classification (I8)
|
79% |
9298
996.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
22450
138.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
737
2.98 IPS |
|
|
Pose Estimation (F16)
|
80% |
4524
18.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
11379
46.0 IPS |
|
|
Object Detection (F32)
|
100% |
644
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
1357
47.6 IPS |
|
|
Object Detection (I8)
|
50% |
1553
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
1552
17.8 IPS |
|
|
Face Detection (F16)
|
97% |
5009
57.6 IPS |
|
|
Face Detection (I8)
|
75% |
15144
174.0 IPS |
|
|
Text Classification (F32)
|
100% |
210
83.0 IPS |
|
|
Text Classification (F16)
|
100% |
73
28.9 IPS |
|
|
Machine Translation (F32)
|
100% |
661
101.9 IPS |
|
|
Machine Translation (F16)
|
100% |
611
94.2 IPS |
